From 3de1ba40fca02635e86f12bb512f4e48546b267a Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?P=C3=A9ter=20Ferenc=20Gyarmati?= <dev.petergy@gmail.com>
Date: Tue, 1 Nov 2022 18:24:59 +0100
Subject: [PATCH 01/45] feat: create `examples-vl` notebook

We can delete this before merging, but the nb should be useful for discussions
---
 docs/facts/examples-vl.ipynb | 1941 ++++++++++++++++++++++++++++++++++
 1 file changed, 1941 insertions(+)
 create mode 100644 docs/facts/examples-vl.ipynb

diff --git a/docs/facts/examples-vl.ipynb b/docs/facts/examples-vl.ipynb
new file mode 100644
index 00000000..25235fd0
--- /dev/null
+++ b/docs/facts/examples-vl.ipynb
@@ -0,0 +1,1941 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Example Charts\n",
+    "\n",
+    "This notebook recreates the examples from [https://dig.cmu.edu/draco2/facts/examples.html#](https://dig.cmu.edu/draco2/facts/examples.html#)."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 40,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from pprint import pprint\n",
+    "from draco.fact_utils import answer_set_to_dict\n",
+    "from draco.run import run_clingo\n",
+    "import altair as alt\n",
+    "from altair import datum"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 41,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def facts_to_dict(facts: list[str]):\n",
+    "    result = run_clingo(facts)\n",
+    "    return answer_set_to_dict(next(result).answer_set)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 42,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from IPython.display import display\n",
+    "import json\n",
+    "\n",
+    "def display_chart(chart: alt.Chart):\n",
+    "    dct = json.loads(chart.to_json())\n",
+    "    dct.pop('data')\n",
+    "    dct.pop('datasets')\n",
+    "    pprint(dct)\n",
+    "    display(chart)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 43,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import pandas as pd\n",
+    "import random\n",
+    "\n",
+    "# Generate a random dataframe with the following columns:\n",
+    "# - temperature: a random float between -10 and 44\n",
+    "# - wind: a random float between 0 and 100\n",
+    "# - precipitation: a random float between 0 and 100\n",
+    "# - condition: a random string from the list [\"drizzle\", \"fog\", \"rain\", \"sun\", \"snow\"]\n",
+    "NUM_ROWS = 100\n",
+    "df = pd.DataFrame(\n",
+    "    {\n",
+    "        \"temperature\": [random.uniform(-10, 44) for _ in range(NUM_ROWS)],\n",
+    "        \"wind\": [random.uniform(0, 100) for _ in range(NUM_ROWS)],\n",
+    "        \"precipitation\": [random.uniform(0, 100) for _ in range(NUM_ROWS)],\n",
+    "        \"condition\": [random.choice([\"drizzle\", \"fog\", \"rain\", \"sun\", \"snow\"]) for _ in range(NUM_ROWS)],\n",
+    "    }\n",
+    ")\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 44,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": "   temperature       wind  precipitation condition\n0    39.357872  11.562264      88.420514       fog\n1    -5.947155  86.907017      70.558329      rain\n2    32.827656  97.658974      82.655115       sun\n3    17.525999  65.527975      53.862565      snow\n4    -6.808827  37.034294      93.865255   drizzle",
+      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>temperature</th>\n      <th>wind</th>\n      <th>precipitation</th>\n      <th>condition</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>39.357872</td>\n      <td>11.562264</td>\n      <td>88.420514</td>\n      <td>fog</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>-5.947155</td>\n      <td>86.907017</td>\n      <td>70.558329</td>\n      <td>rain</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>32.827656</td>\n      <td>97.658974</td>\n      <td>82.655115</td>\n      <td>sun</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>17.525999</td>\n      <td>65.527975</td>\n      <td>53.862565</td>\n      <td>snow</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>-6.808827</td>\n      <td>37.034294</td>\n      <td>93.865255</td>\n      <td>drizzle</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
+     },
+     "execution_count": 44,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df.head()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Single View, Single Mark Charts"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Tick Plot"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 45,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "{'field': [{'name': 'temperature', 'type': 'number'}],\n",
+      " 'number_rows': 100,\n",
+      " 'view': [{'mark': [{'encoding': [{'channel': 'x', 'field': 'temperature'}],\n",
+      "                     'type': 'tick'}],\n",
+      "           'scale': [{'channel': 'x', 'type': 'linear'}]}]}\n"
+     ]
+    }
+   ],
+   "source": [
+    "facts = ['attribute(number_rows,root,100).',\n",
+    " 'entity(field,root,temperature).',\n",
+    " 'attribute((field,name),temperature,temperature).',\n",
+    " 'attribute((field,type),temperature,number).',\n",
+    " 'entity(view,root,0).',\n",
+    " 'entity(mark,0,1).',\n",
+    " 'attribute((mark,type),1,tick).',\n",
+    " 'entity(encoding,1,2).',\n",
+    " 'attribute((encoding,channel),2,x).',\n",
+    " 'attribute((encoding,field),2,temperature).',\n",
+    " 'entity(scale,0,3).',\n",
+    " 'attribute((scale,channel),3,x).',\n",
+    " 'attribute((scale,type),3,linear).']\n",
+    "spec = facts_to_dict(facts)\n",
+    "pprint(spec)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 46,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "{'$schema': 'https://vega.github.io/schema/vega-lite/v4.17.0.json',\n",
+      " 'config': {'view': {'continuousHeight': 300, 'continuousWidth': 400}},\n",
+      " 'encoding': {'x': {'field': 'temperature',\n",
+      "                    'scale': {'type': 'linear'},\n",
+      "                    'type': 'quantitative'}},\n",
+      " 'mark': 'tick'}\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/Users/petergy/Library/Caches/pypoetry/virtualenvs/draco-q9RTEhXP-py3.10/lib/python3.10/site-packages/altair/utils/core.py:317: FutureWarning: iteritems is deprecated and will be removed in a future version. Use .items instead.\n",
+      "  for col_name, dtype in df.dtypes.iteritems():\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": "\n<div id=\"altair-viz-00cb3180c26a4ba1b0b5ca88cd3f483d\"></div>\n<script type=\"text/javascript\">\n  var VEGA_DEBUG = (typeof VEGA_DEBUG == \"undefined\") ? {} : VEGA_DEBUG;\n  (function(spec, embedOpt){\n    let outputDiv = document.currentScript.previousElementSibling;\n    if (outputDiv.id !== \"altair-viz-00cb3180c26a4ba1b0b5ca88cd3f483d\") {\n      outputDiv = document.getElementById(\"altair-viz-00cb3180c26a4ba1b0b5ca88cd3f483d\");\n    }\n    const paths = {\n      \"vega\": \"https://cdn.jsdelivr.net/npm//vega@5?noext\",\n      \"vega-lib\": \"https://cdn.jsdelivr.net/npm//vega-lib?noext\",\n      \"vega-lite\": \"https://cdn.jsdelivr.net/npm//vega-lite@4.17.0?noext\",\n      \"vega-embed\": \"https://cdn.jsdelivr.net/npm//vega-embed@6?noext\",\n    };\n\n    function maybeLoadScript(lib, version) {\n      var key = `${lib.replace(\"-\", \"\")}_version`;\n      return (VEGA_DEBUG[key] == version) ?\n        Promise.resolve(paths[lib]) :\n        new Promise(function(resolve, reject) {\n          var s = document.createElement('script');\n          document.getElementsByTagName(\"head\")[0].appendChild(s);\n          s.async = true;\n          s.onload = () => {\n            VEGA_DEBUG[key] = version;\n            return resolve(paths[lib]);\n          };\n          s.onerror = () => reject(`Error loading script: ${paths[lib]}`);\n          s.src = paths[lib];\n        });\n    }\n\n    function showError(err) {\n      outputDiv.innerHTML = `<div class=\"error\" style=\"color:red;\">${err}</div>`;\n      throw err;\n    }\n\n    function displayChart(vegaEmbed) {\n      vegaEmbed(outputDiv, spec, embedOpt)\n        .catch(err => showError(`Javascript Error: ${err.message}<br>This usually means there's a typo in your chart specification. See the javascript console for the full traceback.`));\n    }\n\n    if(typeof define === \"function\" && define.amd) {\n      requirejs.config({paths});\n      require([\"vega-embed\"], displayChart, err => showError(`Error loading script: ${err.message}`));\n    } else {\n      maybeLoadScript(\"vega\", \"5\")\n        .then(() => maybeLoadScript(\"vega-lite\", \"4.17.0\"))\n        .then(() => maybeLoadScript(\"vega-embed\", \"6\"))\n        .catch(showError)\n        .then(() => displayChart(vegaEmbed));\n    }\n  })({\"config\": {\"view\": {\"continuousWidth\": 400, \"continuousHeight\": 300}}, \"data\": {\"name\": \"data-80b0e930866eee6a77413fd6e0890a78\"}, \"mark\": \"tick\", \"encoding\": {\"x\": {\"field\": \"temperature\", \"scale\": {\"type\": \"linear\"}, \"type\": \"quantitative\"}}, \"$schema\": \"https://vega.github.io/schema/vega-lite/v4.17.0.json\", \"datasets\": {\"data-80b0e930866eee6a77413fd6e0890a78\": [{\"temperature\": 39.357871877508494, \"wind\": 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60.52030820865206, \"precipitation\": 5.486289017174572, \"condition\": \"rain\"}, {\"temperature\": 1.2855687063133647, \"wind\": 47.74453362846665, \"precipitation\": 77.71039918592594, \"condition\": \"drizzle\"}, {\"temperature\": 13.997864573343104, \"wind\": 99.2063323267444, \"precipitation\": 14.897152160823302, \"condition\": \"drizzle\"}, {\"temperature\": 18.825549046465813, \"wind\": 96.7516586164724, \"precipitation\": 62.15480712924485, \"condition\": \"rain\"}, {\"temperature\": 17.102600135203243, \"wind\": 95.33201102579268, \"precipitation\": 1.76947633335095, \"condition\": \"rain\"}, {\"temperature\": 31.603226292108516, \"wind\": 80.1260277875885, \"precipitation\": 19.250819441340848, \"condition\": \"drizzle\"}, {\"temperature\": 7.272202684808242, \"wind\": 8.416568701596594, \"precipitation\": 24.486546883662086, \"condition\": \"drizzle\"}, {\"temperature\": 6.42450547762995, \"wind\": 39.273237823513206, \"precipitation\": 59.175511527387584, \"condition\": \"sun\"}, {\"temperature\": 0.37651709537109035, \"wind\": 94.77902759827063, \"precipitation\": 28.64474524803353, \"condition\": \"fog\"}, {\"temperature\": 29.418237348870328, \"wind\": 73.1637224142291, \"precipitation\": 36.384371127988594, \"condition\": \"fog\"}, {\"temperature\": 32.58410407316762, \"wind\": 23.572673866731876, \"precipitation\": 21.78686177609982, \"condition\": \"sun\"}, {\"temperature\": 40.58331555194774, \"wind\": 12.46579946692835, \"precipitation\": 33.052715046353775, \"condition\": \"fog\"}, {\"temperature\": 15.02270799243955, \"wind\": 23.521353082533057, \"precipitation\": 0.5866372551906918, \"condition\": \"rain\"}, {\"temperature\": -1.5856356202583797, \"wind\": 58.706439422107415, \"precipitation\": 23.69625533115679, \"condition\": \"fog\"}, {\"temperature\": 39.83846166807995, \"wind\": 7.925060993257304, \"precipitation\": 73.27745598517468, \"condition\": \"snow\"}, {\"temperature\": 30.25106478610541, \"wind\": 53.60474576386106, \"precipitation\": 76.63592895791527, \"condition\": \"sun\"}, {\"temperature\": 12.08528607254729, \"wind\": 11.679210728025568, \"precipitation\": 21.30987094861694, \"condition\": \"drizzle\"}, {\"temperature\": 20.103305307522167, \"wind\": 35.51132614216856, \"precipitation\": 99.11641742479553, \"condition\": \"snow\"}, {\"temperature\": 34.61293495454381, \"wind\": 16.44814913694985, \"precipitation\": 76.5788070641912, \"condition\": \"sun\"}, {\"temperature\": 5.3304368864748515, \"wind\": 11.488543420187414, \"precipitation\": 23.611522242446682, \"condition\": \"rain\"}, {\"temperature\": 10.624231316087673, \"wind\": 89.57677208906625, \"precipitation\": 17.901521820239154, \"condition\": \"rain\"}, {\"temperature\": 16.45869339879156, \"wind\": 82.14358903068431, \"precipitation\": 50.5274648107178, \"condition\": \"drizzle\"}, {\"temperature\": 30.4859555666389, \"wind\": 85.43429025210673, \"precipitation\": 99.7314407177562, \"condition\": \"sun\"}, {\"temperature\": -7.842697704519862, \"wind\": 20.10431994181, \"precipitation\": 8.499755604198123, \"condition\": \"drizzle\"}, {\"temperature\": 23.82197430970396, \"wind\": 30.71236264475776, \"precipitation\": 91.23232368725205, \"condition\": \"snow\"}, {\"temperature\": 43.63862559514364, \"wind\": 28.821660476932877, \"precipitation\": 99.71103207097889, \"condition\": \"fog\"}, {\"temperature\": 8.981532662882305, \"wind\": 35.921027372850865, \"precipitation\": 91.12082810014113, \"condition\": \"fog\"}, {\"temperature\": 26.077729266653087, \"wind\": 63.53612288999908, \"precipitation\": 90.09748712912719, \"condition\": \"sun\"}, {\"temperature\": 38.44181274295784, \"wind\": 71.99143401846956, \"precipitation\": 21.221688878355216, \"condition\": \"rain\"}, {\"temperature\": 34.78710550916185, \"wind\": 89.27467266301889, \"precipitation\": 41.1955282025937, \"condition\": \"sun\"}, {\"temperature\": -5.848035132361012, \"wind\": 57.23792962073, \"precipitation\": 64.23162970775795, \"condition\": \"rain\"}, {\"temperature\": 0.6933169720006127, \"wind\": 72.76756692493736, \"precipitation\": 62.223235261304524, \"condition\": \"drizzle\"}]}}, {\"mode\": \"vega-lite\"});\n</script>",
+      "text/plain": "alt.Chart(...)"
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "base = alt.Chart(df)\n",
+    "tick = base.mark_tick().encode(\n",
+    " x=alt.X(field='temperature', type='quantitative', scale=alt.Scale(type='linear'))\n",
+    ")\n",
+    "display_chart(tick)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Tick Plot with a Log Scale"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 47,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "{'field': [{'name': 'temperature', 'type': 'number'}],\n",
+      " 'number_rows': 100,\n",
+      " 'view': [{'mark': [{'encoding': [{'channel': 'x', 'field': 'temperature'}],\n",
+      "                     'type': 'tick'}],\n",
+      "           'scale': [{'channel': 'x', 'type': 'log'}]}]}\n"
+     ]
+    }
+   ],
+   "source": [
+    "facts = ['attribute(number_rows,root,100).',\n",
+    " 'entity(field,root,temperature).',\n",
+    " 'attribute((field,name),temperature,temperature).',\n",
+    " 'attribute((field,type),temperature,number).',\n",
+    " 'entity(view,root,0).',\n",
+    " 'entity(mark,0,1).',\n",
+    " 'attribute((mark,type),1,tick).',\n",
+    " 'entity(encoding,1,2).',\n",
+    " 'attribute((encoding,channel),2,x).',\n",
+    " 'attribute((encoding,field),2,temperature).',\n",
+    " 'entity(scale,0,3).',\n",
+    " 'attribute((scale,channel),3,x).',\n",
+    " 'attribute((scale,type),3,log).']\n",
+    "spec = facts_to_dict(facts)\n",
+    "pprint(spec)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 48,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "{'$schema': 'https://vega.github.io/schema/vega-lite/v4.17.0.json',\n",
+      " 'config': {'view': {'continuousHeight': 300, 'continuousWidth': 400}},\n",
+      " 'encoding': {'x': {'field': 'temperature',\n",
+      "                    'scale': {'type': 'log'},\n",
+      "                    'type': 'quantitative'}},\n",
+      " 'mark': 'tick',\n",
+      " 'transform': [{'filter': '(datum.temperature > 0)'}]}\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": "\n<div id=\"altair-viz-2b283b72511e4e3ca2f3411879c9a0a7\"></div>\n<script type=\"text/javascript\">\n  var VEGA_DEBUG = (typeof VEGA_DEBUG == \"undefined\") ? {} : VEGA_DEBUG;\n  (function(spec, embedOpt){\n    let outputDiv = document.currentScript.previousElementSibling;\n    if (outputDiv.id !== \"altair-viz-2b283b72511e4e3ca2f3411879c9a0a7\") {\n      outputDiv = document.getElementById(\"altair-viz-2b283b72511e4e3ca2f3411879c9a0a7\");\n    }\n    const paths = {\n      \"vega\": \"https://cdn.jsdelivr.net/npm//vega@5?noext\",\n      \"vega-lib\": \"https://cdn.jsdelivr.net/npm//vega-lib?noext\",\n      \"vega-lite\": \"https://cdn.jsdelivr.net/npm//vega-lite@4.17.0?noext\",\n      \"vega-embed\": \"https://cdn.jsdelivr.net/npm//vega-embed@6?noext\",\n    };\n\n    function maybeLoadScript(lib, version) {\n      var key = `${lib.replace(\"-\", \"\")}_version`;\n      return (VEGA_DEBUG[key] == version) ?\n        Promise.resolve(paths[lib]) :\n        new Promise(function(resolve, reject) {\n          var s = document.createElement('script');\n          document.getElementsByTagName(\"head\")[0].appendChild(s);\n          s.async = true;\n          s.onload = () => {\n            VEGA_DEBUG[key] = version;\n            return resolve(paths[lib]);\n          };\n          s.onerror = () => reject(`Error loading script: ${paths[lib]}`);\n          s.src = paths[lib];\n        });\n    }\n\n    function showError(err) {\n      outputDiv.innerHTML = `<div class=\"error\" style=\"color:red;\">${err}</div>`;\n      throw err;\n    }\n\n    function displayChart(vegaEmbed) {\n      vegaEmbed(outputDiv, spec, embedOpt)\n        .catch(err => showError(`Javascript Error: ${err.message}<br>This usually means there's a typo in your chart specification. See the javascript console for the full traceback.`));\n    }\n\n    if(typeof define === \"function\" && define.amd) {\n      requirejs.config({paths});\n      require([\"vega-embed\"], displayChart, err => showError(`Error loading script: ${err.message}`));\n    } else {\n      maybeLoadScript(\"vega\", \"5\")\n        .then(() => maybeLoadScript(\"vega-lite\", \"4.17.0\"))\n        .then(() => maybeLoadScript(\"vega-embed\", \"6\"))\n        .catch(showError)\n        .then(() => displayChart(vegaEmbed));\n    }\n  })({\"config\": {\"view\": {\"continuousWidth\": 400, \"continuousHeight\": 300}}, \"data\": {\"name\": \"data-80b0e930866eee6a77413fd6e0890a78\"}, \"mark\": \"tick\", \"encoding\": {\"x\": {\"field\": \"temperature\", \"scale\": {\"type\": \"log\"}, \"type\": \"quantitative\"}}, \"transform\": [{\"filter\": \"(datum.temperature > 0)\"}], \"$schema\": \"https://vega.github.io/schema/vega-lite/v4.17.0.json\", \"datasets\": {\"data-80b0e930866eee6a77413fd6e0890a78\": [{\"temperature\": 39.357871877508494, \"wind\": 11.562263885182233, \"precipitation\": 88.42051387921796, \"condition\": \"fog\"}, {\"temperature\": -5.947154608637572, \"wind\": 86.90701738497849, \"precipitation\": 70.55832915444152, \"condition\": \"rain\"}, {\"temperature\": 32.82765627853655, \"wind\": 97.65897402212389, \"precipitation\": 82.65511533530304, \"condition\": \"sun\"}, {\"temperature\": 17.525999106231197, \"wind\": 65.52797477069528, \"precipitation\": 53.86256526101837, \"condition\": \"snow\"}, {\"temperature\": -6.80882656934652, \"wind\": 37.03429394195952, \"precipitation\": 93.86525481254682, \"condition\": \"drizzle\"}, {\"temperature\": 42.35997285539091, \"wind\": 72.00671240950793, \"precipitation\": 40.6587905336316, \"condition\": \"sun\"}, {\"temperature\": 12.236046428620227, \"wind\": 24.35537864304579, \"precipitation\": 83.89080965364893, \"condition\": \"sun\"}, {\"temperature\": 42.8103257781665, \"wind\": 29.81101459268268, \"precipitation\": 71.55020159752638, \"condition\": \"sun\"}, {\"temperature\": 22.54392113778252, \"wind\": 96.88264927669367, \"precipitation\": 57.21207145158276, \"condition\": \"rain\"}, {\"temperature\": 22.503608231529917, \"wind\": 73.45718441223443, \"precipitation\": 18.48099480479052, \"condition\": \"fog\"}, {\"temperature\": 20.697023061259923, \"wind\": 78.8085781529467, \"precipitation\": 82.06153728611223, \"condition\": \"drizzle\"}, {\"temperature\": 25.290109397291054, \"wind\": 80.30649374788099, \"precipitation\": 22.36608661432985, \"condition\": \"sun\"}, {\"temperature\": 38.2799313550365, \"wind\": 67.47085587574028, \"precipitation\": 20.740111999310816, \"condition\": \"snow\"}, {\"temperature\": 3.6725463468113624, \"wind\": 1.0115541087158841, \"precipitation\": 18.15771285571497, \"condition\": \"fog\"}, {\"temperature\": 43.05607594953013, \"wind\": 60.68482719845524, \"precipitation\": 57.77089873340201, \"condition\": \"drizzle\"}, {\"temperature\": 32.26702695541979, \"wind\": 51.25287908408247, \"precipitation\": 82.37499650298116, \"condition\": \"sun\"}, {\"temperature\": 20.65470025342109, \"wind\": 17.357994382399223, \"precipitation\": 61.85803419037972, \"condition\": \"snow\"}, {\"temperature\": 7.591958649416281, \"wind\": 56.87567133218157, \"precipitation\": 63.83705679953054, \"condition\": \"drizzle\"}, {\"temperature\": 34.12588295742098, \"wind\": 53.49706318356736, \"precipitation\": 39.89871505509641, \"condition\": \"drizzle\"}, {\"temperature\": 43.35047614485006, \"wind\": 25.611854852857896, \"precipitation\": 80.36992353488051, \"condition\": \"sun\"}, {\"temperature\": -0.6670916465821719, \"wind\": 85.48944217634627, \"precipitation\": 74.19603252504737, \"condition\": \"fog\"}, {\"temperature\": 27.71533514546813, \"wind\": 92.40258299219964, \"precipitation\": 35.46329445299181, \"condition\": \"sun\"}, {\"temperature\": 42.990310063528334, \"wind\": 4.767210553938305, \"precipitation\": 78.84896594785124, \"condition\": \"drizzle\"}, {\"temperature\": 12.78024257419457, \"wind\": 70.42789298007587, \"precipitation\": 32.19857853159736, \"condition\": \"rain\"}, {\"temperature\": 12.345464511586698, \"wind\": 96.37504245663669, \"precipitation\": 58.32326475918834, \"condition\": \"drizzle\"}, {\"temperature\": 16.615985139736694, \"wind\": 79.42654814203834, \"precipitation\": 13.002687080260278, \"condition\": \"drizzle\"}, {\"temperature\": 37.42489242698708, \"wind\": 61.345695045120095, \"precipitation\": 43.77564041090408, \"condition\": \"rain\"}, {\"temperature\": 4.4803758908315565, \"wind\": 49.77522034422004, \"precipitation\": 50.69600709811043, \"condition\": \"drizzle\"}, {\"temperature\": 24.097652039323982, \"wind\": 8.979384326640405, \"precipitation\": 30.641954593528485, \"condition\": \"sun\"}, {\"temperature\": -5.322217743871135, \"wind\": 61.189346843944705, \"precipitation\": 31.593229557269186, \"condition\": \"snow\"}, {\"temperature\": 9.656575236136984, \"wind\": 2.1373906951494104, \"precipitation\": 57.5465193225844, \"condition\": \"rain\"}, {\"temperature\": 23.09003214094531, \"wind\": 16.8504340533028, \"precipitation\": 49.38199137777561, \"condition\": \"snow\"}, {\"temperature\": -0.8910674950475652, \"wind\": 67.4372389241753, \"precipitation\": 44.01373586297284, \"condition\": \"drizzle\"}, {\"temperature\": 38.77628981797657, \"wind\": 19.349109733319814, \"precipitation\": 18.478064234157422, \"condition\": \"snow\"}, {\"temperature\": 3.4205075380082093, \"wind\": 27.407919047755026, \"precipitation\": 32.84745237938085, \"condition\": \"fog\"}, {\"temperature\": -5.033320662096024, \"wind\": 94.25698462447689, \"precipitation\": 43.460229120490254, \"condition\": \"fog\"}, {\"temperature\": -9.971237977814939, \"wind\": 93.98073112476098, \"precipitation\": 74.78247080628827, \"condition\": \"sun\"}, {\"temperature\": 14.882883965973484, \"wind\": 24.785612027523594, \"precipitation\": 51.19773747140527, \"condition\": 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\"precipitation\": 81.56963648865039, \"condition\": \"rain\"}, {\"temperature\": 35.17236224867325, \"wind\": 31.08177020391971, \"precipitation\": 24.18647666653794, \"condition\": \"rain\"}, {\"temperature\": 33.364342578760876, \"wind\": 2.9246595809319653, \"precipitation\": 12.15848602978733, \"condition\": \"fog\"}, {\"temperature\": -3.5902835942627487, \"wind\": 86.99227504041556, \"precipitation\": 2.3639517923128017, \"condition\": \"drizzle\"}, {\"temperature\": 43.53091004081406, \"wind\": 70.60869224087214, \"precipitation\": 66.94726954818158, \"condition\": \"rain\"}, {\"temperature\": 1.8337888199719252, \"wind\": 75.06866321814911, \"precipitation\": 53.6891397098117, \"condition\": \"sun\"}, {\"temperature\": 43.47830583880354, \"wind\": 71.68689230524836, \"precipitation\": 31.73117090776013, \"condition\": \"sun\"}, {\"temperature\": 24.70816388894937, \"wind\": 68.30107169120795, \"precipitation\": 20.50225020747416, \"condition\": \"snow\"}, {\"temperature\": 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\"precipitation\": 76.63592895791527, \"condition\": \"sun\"}, {\"temperature\": 12.08528607254729, \"wind\": 11.679210728025568, \"precipitation\": 21.30987094861694, \"condition\": \"drizzle\"}, {\"temperature\": 20.103305307522167, \"wind\": 35.51132614216856, \"precipitation\": 99.11641742479553, \"condition\": \"snow\"}, {\"temperature\": 34.61293495454381, \"wind\": 16.44814913694985, \"precipitation\": 76.5788070641912, \"condition\": \"sun\"}, {\"temperature\": 5.3304368864748515, \"wind\": 11.488543420187414, \"precipitation\": 23.611522242446682, \"condition\": \"rain\"}, {\"temperature\": 10.624231316087673, \"wind\": 89.57677208906625, \"precipitation\": 17.901521820239154, \"condition\": \"rain\"}, {\"temperature\": 16.45869339879156, \"wind\": 82.14358903068431, \"precipitation\": 50.5274648107178, \"condition\": \"drizzle\"}, {\"temperature\": 30.4859555666389, \"wind\": 85.43429025210673, \"precipitation\": 99.7314407177562, \"condition\": \"sun\"}, {\"temperature\": -7.842697704519862, \"wind\": 20.10431994181, \"precipitation\": 8.499755604198123, \"condition\": \"drizzle\"}, {\"temperature\": 23.82197430970396, \"wind\": 30.71236264475776, \"precipitation\": 91.23232368725205, \"condition\": \"snow\"}, {\"temperature\": 43.63862559514364, \"wind\": 28.821660476932877, \"precipitation\": 99.71103207097889, \"condition\": \"fog\"}, {\"temperature\": 8.981532662882305, \"wind\": 35.921027372850865, \"precipitation\": 91.12082810014113, \"condition\": \"fog\"}, {\"temperature\": 26.077729266653087, \"wind\": 63.53612288999908, \"precipitation\": 90.09748712912719, \"condition\": \"sun\"}, {\"temperature\": 38.44181274295784, \"wind\": 71.99143401846956, \"precipitation\": 21.221688878355216, \"condition\": \"rain\"}, {\"temperature\": 34.78710550916185, \"wind\": 89.27467266301889, \"precipitation\": 41.1955282025937, \"condition\": \"sun\"}, {\"temperature\": -5.848035132361012, \"wind\": 57.23792962073, \"precipitation\": 64.23162970775795, \"condition\": \"rain\"}, {\"temperature\": 0.6933169720006127, \"wind\": 72.76756692493736, \"precipitation\": 62.223235261304524, \"condition\": \"drizzle\"}]}}, {\"mode\": \"vega-lite\"});\n</script>",
+      "text/plain": "alt.Chart(...)"
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "base = alt.Chart(df).transform_filter(\n",
+    " datum.temperature > 0\n",
+    ")\n",
+    "tick = base.mark_tick().encode(\n",
+    " x=alt.X(field='temperature', type='quantitative', scale=alt.Scale(type='log'))\n",
+    ")\n",
+    "display_chart(tick)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Bar Chart"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 49,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "{'field': [{'name': 'temperature', 'type': 'number'},\n",
+      "           {'name': 'condition', 'type': 'string'}],\n",
+      " 'number_rows': 100,\n",
+      " 'view': [{'coordinates': 'cartesian',\n",
+      "           'mark': [{'encoding': [{'channel': 'x', 'field': 'condition'},\n",
+      "                                  {'aggregate': 'mean',\n",
+      "                                   'channel': 'y',\n",
+      "                                   'field': 'temperature'}],\n",
+      "                     'type': 'bar'}],\n",
+      "           'scale': [{'channel': 'x', 'type': 'ordinal'},\n",
+      "                     {'channel': 'y', 'type': 'linear', 'zero': 'true'}]}]}\n"
+     ]
+    }
+   ],
+   "source": [
+    "facts = ['attribute(number_rows,root,100).',\n",
+    " 'entity(field,root,temperature).',\n",
+    " 'attribute((field,name),temperature,temperature).',\n",
+    " 'attribute((field,type),temperature,number).',\n",
+    " 'entity(field,root,condition).',\n",
+    " 'attribute((field,name),condition,condition).',\n",
+    " 'attribute((field,type),condition,string).',\n",
+    " 'entity(view,root,0).',\n",
+    " 'attribute((view,coordinates),0,cartesian).',\n",
+    " 'entity(mark,0,1).',\n",
+    " 'attribute((mark,type),1,bar).',\n",
+    " 'entity(encoding,1,2).',\n",
+    " 'attribute((encoding,channel),2,x).',\n",
+    " 'attribute((encoding,field),2,condition).',\n",
+    " 'entity(encoding,1,3).',\n",
+    " 'attribute((encoding,channel),3,y).',\n",
+    " 'attribute((encoding,field),3,temperature).',\n",
+    " 'attribute((encoding,aggregate),3,mean).',\n",
+    " 'entity(scale,0,4).',\n",
+    " 'attribute((scale,channel),4,x).',\n",
+    " 'attribute((scale,type),4,ordinal).',\n",
+    " 'entity(scale,0,5).',\n",
+    " 'attribute((scale,channel),5,y).',\n",
+    " 'attribute((scale,type),5,linear).',\n",
+    " 'attribute((scale,zero),5,true).']\n",
+    "spec = facts_to_dict(facts)\n",
+    "pprint(spec)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 50,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "{'$schema': 'https://vega.github.io/schema/vega-lite/v4.17.0.json',\n",
+      " 'config': {'view': {'continuousHeight': 300, 'continuousWidth': 400}},\n",
+      " 'encoding': {'x': {'field': 'condition',\n",
+      "                    'scale': {'type': 'ordinal'},\n",
+      "                    'type': 'nominal'},\n",
+      "              'y': {'aggregate': 'mean',\n",
+      "                    'field': 'temperature',\n",
+      "                    'scale': {'type': 'linear', 'zero': True},\n",
+      "                    'type': 'quantitative'}},\n",
+      " 'mark': 'bar'}\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": "\n<div id=\"altair-viz-b3b4a37b2162408e8d2b4b2d8da9f6b6\"></div>\n<script type=\"text/javascript\">\n  var VEGA_DEBUG = (typeof VEGA_DEBUG == \"undefined\") ? {} : VEGA_DEBUG;\n  (function(spec, embedOpt){\n    let outputDiv = document.currentScript.previousElementSibling;\n    if (outputDiv.id !== \"altair-viz-b3b4a37b2162408e8d2b4b2d8da9f6b6\") {\n      outputDiv = document.getElementById(\"altair-viz-b3b4a37b2162408e8d2b4b2d8da9f6b6\");\n    }\n    const paths = {\n      \"vega\": \"https://cdn.jsdelivr.net/npm//vega@5?noext\",\n      \"vega-lib\": \"https://cdn.jsdelivr.net/npm//vega-lib?noext\",\n      \"vega-lite\": \"https://cdn.jsdelivr.net/npm//vega-lite@4.17.0?noext\",\n      \"vega-embed\": \"https://cdn.jsdelivr.net/npm//vega-embed@6?noext\",\n    };\n\n    function maybeLoadScript(lib, version) {\n      var key = `${lib.replace(\"-\", \"\")}_version`;\n      return (VEGA_DEBUG[key] == version) ?\n        Promise.resolve(paths[lib]) :\n        new Promise(function(resolve, reject) {\n          var s = document.createElement('script');\n          document.getElementsByTagName(\"head\")[0].appendChild(s);\n          s.async = true;\n          s.onload = () => {\n            VEGA_DEBUG[key] = version;\n            return resolve(paths[lib]);\n          };\n          s.onerror = () => reject(`Error loading script: ${paths[lib]}`);\n          s.src = paths[lib];\n        });\n    }\n\n    function showError(err) {\n      outputDiv.innerHTML = `<div class=\"error\" style=\"color:red;\">${err}</div>`;\n      throw err;\n    }\n\n    function displayChart(vegaEmbed) {\n      vegaEmbed(outputDiv, spec, embedOpt)\n        .catch(err => showError(`Javascript Error: ${err.message}<br>This usually means there's a typo in your chart specification. See the javascript console for the full traceback.`));\n    }\n\n    if(typeof define === \"function\" && define.amd) {\n      requirejs.config({paths});\n      require([\"vega-embed\"], displayChart, err => showError(`Error loading script: ${err.message}`));\n    } else {\n      maybeLoadScript(\"vega\", \"5\")\n        .then(() => maybeLoadScript(\"vega-lite\", \"4.17.0\"))\n        .then(() => maybeLoadScript(\"vega-embed\", \"6\"))\n        .catch(showError)\n        .then(() => displayChart(vegaEmbed));\n    }\n  })({\"config\": {\"view\": {\"continuousWidth\": 400, \"continuousHeight\": 300}}, \"data\": {\"name\": \"data-80b0e930866eee6a77413fd6e0890a78\"}, \"mark\": \"bar\", \"encoding\": {\"x\": {\"field\": \"condition\", \"scale\": {\"type\": \"ordinal\"}, \"type\": \"nominal\"}, \"y\": {\"aggregate\": \"mean\", \"field\": \"temperature\", \"scale\": {\"type\": \"linear\", \"zero\": true}, \"type\": \"quantitative\"}}, \"$schema\": \"https://vega.github.io/schema/vega-lite/v4.17.0.json\", \"datasets\": {\"data-80b0e930866eee6a77413fd6e0890a78\": [{\"temperature\": 39.357871877508494, \"wind\": 11.562263885182233, \"precipitation\": 88.42051387921796, \"condition\": \"fog\"}, {\"temperature\": -5.947154608637572, \"wind\": 86.90701738497849, \"precipitation\": 70.55832915444152, \"condition\": \"rain\"}, {\"temperature\": 32.82765627853655, \"wind\": 97.65897402212389, \"precipitation\": 82.65511533530304, \"condition\": \"sun\"}, {\"temperature\": 17.525999106231197, \"wind\": 65.52797477069528, \"precipitation\": 53.86256526101837, \"condition\": \"snow\"}, {\"temperature\": -6.80882656934652, \"wind\": 37.03429394195952, \"precipitation\": 93.86525481254682, \"condition\": \"drizzle\"}, {\"temperature\": 42.35997285539091, \"wind\": 72.00671240950793, \"precipitation\": 40.6587905336316, \"condition\": \"sun\"}, {\"temperature\": 12.236046428620227, \"wind\": 24.35537864304579, \"precipitation\": 83.89080965364893, \"condition\": \"sun\"}, {\"temperature\": 42.8103257781665, \"wind\": 29.81101459268268, \"precipitation\": 71.55020159752638, \"condition\": \"sun\"}, {\"temperature\": 22.54392113778252, \"wind\": 96.88264927669367, \"precipitation\": 57.21207145158276, \"condition\": \"rain\"}, {\"temperature\": 22.503608231529917, \"wind\": 73.45718441223443, \"precipitation\": 18.48099480479052, \"condition\": \"fog\"}, {\"temperature\": 20.697023061259923, \"wind\": 78.8085781529467, \"precipitation\": 82.06153728611223, \"condition\": \"drizzle\"}, {\"temperature\": 25.290109397291054, \"wind\": 80.30649374788099, \"precipitation\": 22.36608661432985, \"condition\": \"sun\"}, {\"temperature\": 38.2799313550365, \"wind\": 67.47085587574028, \"precipitation\": 20.740111999310816, \"condition\": \"snow\"}, {\"temperature\": 3.6725463468113624, \"wind\": 1.0115541087158841, \"precipitation\": 18.15771285571497, \"condition\": \"fog\"}, {\"temperature\": 43.05607594953013, \"wind\": 60.68482719845524, \"precipitation\": 57.77089873340201, \"condition\": \"drizzle\"}, {\"temperature\": 32.26702695541979, \"wind\": 51.25287908408247, \"precipitation\": 82.37499650298116, \"condition\": \"sun\"}, {\"temperature\": 20.65470025342109, \"wind\": 17.357994382399223, \"precipitation\": 61.85803419037972, \"condition\": \"snow\"}, {\"temperature\": 7.591958649416281, \"wind\": 56.87567133218157, \"precipitation\": 63.83705679953054, \"condition\": \"drizzle\"}, {\"temperature\": 34.12588295742098, \"wind\": 53.49706318356736, \"precipitation\": 39.89871505509641, \"condition\": \"drizzle\"}, {\"temperature\": 43.35047614485006, \"wind\": 25.611854852857896, \"precipitation\": 80.36992353488051, \"condition\": \"sun\"}, {\"temperature\": -0.6670916465821719, \"wind\": 85.48944217634627, \"precipitation\": 74.19603252504737, \"condition\": \"fog\"}, {\"temperature\": 27.71533514546813, \"wind\": 92.40258299219964, \"precipitation\": 35.46329445299181, \"condition\": \"sun\"}, {\"temperature\": 42.990310063528334, \"wind\": 4.767210553938305, \"precipitation\": 78.84896594785124, \"condition\": \"drizzle\"}, {\"temperature\": 12.78024257419457, \"wind\": 70.42789298007587, \"precipitation\": 32.19857853159736, \"condition\": \"rain\"}, {\"temperature\": 12.345464511586698, \"wind\": 96.37504245663669, \"precipitation\": 58.32326475918834, \"condition\": \"drizzle\"}, {\"temperature\": 16.615985139736694, \"wind\": 79.42654814203834, \"precipitation\": 13.002687080260278, \"condition\": \"drizzle\"}, {\"temperature\": 37.42489242698708, \"wind\": 61.345695045120095, \"precipitation\": 43.77564041090408, \"condition\": \"rain\"}, {\"temperature\": 4.4803758908315565, \"wind\": 49.77522034422004, \"precipitation\": 50.69600709811043, \"condition\": \"drizzle\"}, {\"temperature\": 24.097652039323982, \"wind\": 8.979384326640405, \"precipitation\": 30.641954593528485, \"condition\": \"sun\"}, {\"temperature\": -5.322217743871135, \"wind\": 61.189346843944705, \"precipitation\": 31.593229557269186, \"condition\": \"snow\"}, {\"temperature\": 9.656575236136984, \"wind\": 2.1373906951494104, \"precipitation\": 57.5465193225844, \"condition\": \"rain\"}, {\"temperature\": 23.09003214094531, \"wind\": 16.8504340533028, \"precipitation\": 49.38199137777561, \"condition\": \"snow\"}, {\"temperature\": -0.8910674950475652, \"wind\": 67.4372389241753, \"precipitation\": 44.01373586297284, \"condition\": \"drizzle\"}, {\"temperature\": 38.77628981797657, \"wind\": 19.349109733319814, \"precipitation\": 18.478064234157422, \"condition\": \"snow\"}, {\"temperature\": 3.4205075380082093, \"wind\": 27.407919047755026, \"precipitation\": 32.84745237938085, \"condition\": \"fog\"}, {\"temperature\": -5.033320662096024, \"wind\": 94.25698462447689, \"precipitation\": 43.460229120490254, \"condition\": \"fog\"}, {\"temperature\": -9.971237977814939, \"wind\": 93.98073112476098, \"precipitation\": 74.78247080628827, \"condition\": \"sun\"}, {\"temperature\": 14.882883965973484, \"wind\": 24.785612027523594, \"precipitation\": 51.19773747140527, \"condition\": \"drizzle\"}, {\"temperature\": 14.018034425277474, \"wind\": 91.62717881393021, \"precipitation\": 99.49522416477019, \"condition\": \"sun\"}, {\"temperature\": 31.305982604448104, \"wind\": 40.90373869893349, \"precipitation\": 74.89298496286528, \"condition\": \"rain\"}, {\"temperature\": 30.610723278623702, \"wind\": 42.06017669565571, \"precipitation\": 69.67703870061514, \"condition\": \"snow\"}, {\"temperature\": 34.74664418075527, \"wind\": 38.58462817605697, \"precipitation\": 67.82787083848606, \"condition\": \"sun\"}, {\"temperature\": 8.120514857460222, \"wind\": 98.79896637292207, \"precipitation\": 21.126567495900296, \"condition\": \"drizzle\"}, {\"temperature\": 21.830015183550092, \"wind\": 22.1211872838582, \"precipitation\": 79.23266981302642, \"condition\": \"fog\"}, {\"temperature\": 37.98236222048335, \"wind\": 3.9308035344873593, \"precipitation\": 14.592671850934291, \"condition\": \"rain\"}, {\"temperature\": 25.958872120055887, \"wind\": 30.880613774748145, \"precipitation\": 81.56963648865039, \"condition\": \"rain\"}, {\"temperature\": 35.17236224867325, \"wind\": 31.08177020391971, \"precipitation\": 24.18647666653794, \"condition\": \"rain\"}, {\"temperature\": 33.364342578760876, \"wind\": 2.9246595809319653, \"precipitation\": 12.15848602978733, \"condition\": \"fog\"}, {\"temperature\": -3.5902835942627487, \"wind\": 86.99227504041556, \"precipitation\": 2.3639517923128017, \"condition\": \"drizzle\"}, {\"temperature\": 43.53091004081406, \"wind\": 70.60869224087214, \"precipitation\": 66.94726954818158, \"condition\": \"rain\"}, {\"temperature\": 1.8337888199719252, \"wind\": 75.06866321814911, \"precipitation\": 53.6891397098117, \"condition\": \"sun\"}, {\"temperature\": 43.47830583880354, \"wind\": 71.68689230524836, \"precipitation\": 31.73117090776013, \"condition\": \"sun\"}, {\"temperature\": 24.70816388894937, \"wind\": 68.30107169120795, \"precipitation\": 20.50225020747416, \"condition\": \"snow\"}, {\"temperature\": 16.05118379980134, \"wind\": 52.99782792799144, \"precipitation\": 11.69028728553364, \"condition\": \"fog\"}, {\"temperature\": 28.077076050276126, \"wind\": 24.843732657120764, \"precipitation\": 7.7565838958533195, \"condition\": \"fog\"}, {\"temperature\": 26.313211105376084, \"wind\": 45.03333651941402, \"precipitation\": 31.41227095201218, \"condition\": \"fog\"}, {\"temperature\": 25.47932407524442, \"wind\": 87.21604759710651, \"precipitation\": 13.96847689136137, \"condition\": \"snow\"}, {\"temperature\": 11.036706749946731, \"wind\": 33.86229598446234, \"precipitation\": 38.968294579117845, \"condition\": \"rain\"}, {\"temperature\": 0.8142265953456, \"wind\": 70.98507415296346, \"precipitation\": 19.273374312321256, \"condition\": \"drizzle\"}, {\"temperature\": 25.391354725358426, \"wind\": 68.9460480155243, \"precipitation\": 93.11546643206357, \"condition\": \"fog\"}, {\"temperature\": 27.7726958317102, \"wind\": 15.439482065514532, \"precipitation\": 5.293937143885552, \"condition\": \"sun\"}, {\"temperature\": 3.0547946822445873, \"wind\": 86.42755659056152, \"precipitation\": 2.624712873155066, \"condition\": \"rain\"}, {\"temperature\": 39.42369527658811, \"wind\": 47.39700920935881, \"precipitation\": 41.728060203985706, \"condition\": \"rain\"}, {\"temperature\": 31.616549252691705, \"wind\": 31.294073920356126, \"precipitation\": 61.66414511625905, \"condition\": \"snow\"}, {\"temperature\": 37.73472491414072, \"wind\": 56.11305268794269, \"precipitation\": 81.92111265208045, \"condition\": \"fog\"}, {\"temperature\": 29.412459474532355, \"wind\": 46.76189099995182, \"precipitation\": 32.17901910781431, \"condition\": \"snow\"}, {\"temperature\": -5.305474080741154, \"wind\": 16.51061166938045, \"precipitation\": 40.72674907868328, \"condition\": \"fog\"}, {\"temperature\": 28.248344335114005, \"wind\": 74.65204013977382, \"precipitation\": 8.992377726473755, \"condition\": \"drizzle\"}, {\"temperature\": 40.71245089747694, \"wind\": 60.52030820865206, \"precipitation\": 5.486289017174572, \"condition\": \"rain\"}, {\"temperature\": 1.2855687063133647, \"wind\": 47.74453362846665, \"precipitation\": 77.71039918592594, \"condition\": \"drizzle\"}, {\"temperature\": 13.997864573343104, \"wind\": 99.2063323267444, \"precipitation\": 14.897152160823302, \"condition\": \"drizzle\"}, {\"temperature\": 18.825549046465813, \"wind\": 96.7516586164724, \"precipitation\": 62.15480712924485, \"condition\": \"rain\"}, {\"temperature\": 17.102600135203243, \"wind\": 95.33201102579268, \"precipitation\": 1.76947633335095, \"condition\": \"rain\"}, {\"temperature\": 31.603226292108516, \"wind\": 80.1260277875885, \"precipitation\": 19.250819441340848, \"condition\": \"drizzle\"}, {\"temperature\": 7.272202684808242, \"wind\": 8.416568701596594, \"precipitation\": 24.486546883662086, \"condition\": \"drizzle\"}, {\"temperature\": 6.42450547762995, \"wind\": 39.273237823513206, \"precipitation\": 59.175511527387584, \"condition\": \"sun\"}, {\"temperature\": 0.37651709537109035, \"wind\": 94.77902759827063, \"precipitation\": 28.64474524803353, \"condition\": \"fog\"}, {\"temperature\": 29.418237348870328, \"wind\": 73.1637224142291, \"precipitation\": 36.384371127988594, \"condition\": \"fog\"}, {\"temperature\": 32.58410407316762, \"wind\": 23.572673866731876, \"precipitation\": 21.78686177609982, \"condition\": \"sun\"}, {\"temperature\": 40.58331555194774, \"wind\": 12.46579946692835, \"precipitation\": 33.052715046353775, \"condition\": \"fog\"}, {\"temperature\": 15.02270799243955, \"wind\": 23.521353082533057, \"precipitation\": 0.5866372551906918, \"condition\": \"rain\"}, {\"temperature\": -1.5856356202583797, \"wind\": 58.706439422107415, \"precipitation\": 23.69625533115679, \"condition\": \"fog\"}, {\"temperature\": 39.83846166807995, \"wind\": 7.925060993257304, \"precipitation\": 73.27745598517468, \"condition\": \"snow\"}, {\"temperature\": 30.25106478610541, \"wind\": 53.60474576386106, \"precipitation\": 76.63592895791527, \"condition\": \"sun\"}, {\"temperature\": 12.08528607254729, \"wind\": 11.679210728025568, \"precipitation\": 21.30987094861694, \"condition\": \"drizzle\"}, {\"temperature\": 20.103305307522167, \"wind\": 35.51132614216856, \"precipitation\": 99.11641742479553, \"condition\": \"snow\"}, {\"temperature\": 34.61293495454381, \"wind\": 16.44814913694985, \"precipitation\": 76.5788070641912, \"condition\": \"sun\"}, {\"temperature\": 5.3304368864748515, \"wind\": 11.488543420187414, \"precipitation\": 23.611522242446682, \"condition\": \"rain\"}, {\"temperature\": 10.624231316087673, \"wind\": 89.57677208906625, \"precipitation\": 17.901521820239154, \"condition\": \"rain\"}, {\"temperature\": 16.45869339879156, \"wind\": 82.14358903068431, \"precipitation\": 50.5274648107178, \"condition\": \"drizzle\"}, {\"temperature\": 30.4859555666389, \"wind\": 85.43429025210673, \"precipitation\": 99.7314407177562, \"condition\": \"sun\"}, {\"temperature\": -7.842697704519862, \"wind\": 20.10431994181, \"precipitation\": 8.499755604198123, \"condition\": \"drizzle\"}, {\"temperature\": 23.82197430970396, \"wind\": 30.71236264475776, \"precipitation\": 91.23232368725205, \"condition\": \"snow\"}, {\"temperature\": 43.63862559514364, \"wind\": 28.821660476932877, \"precipitation\": 99.71103207097889, \"condition\": \"fog\"}, {\"temperature\": 8.981532662882305, \"wind\": 35.921027372850865, \"precipitation\": 91.12082810014113, \"condition\": \"fog\"}, {\"temperature\": 26.077729266653087, \"wind\": 63.53612288999908, \"precipitation\": 90.09748712912719, \"condition\": \"sun\"}, {\"temperature\": 38.44181274295784, \"wind\": 71.99143401846956, \"precipitation\": 21.221688878355216, \"condition\": \"rain\"}, {\"temperature\": 34.78710550916185, \"wind\": 89.27467266301889, \"precipitation\": 41.1955282025937, \"condition\": \"sun\"}, {\"temperature\": -5.848035132361012, \"wind\": 57.23792962073, \"precipitation\": 64.23162970775795, \"condition\": \"rain\"}, {\"temperature\": 0.6933169720006127, \"wind\": 72.76756692493736, \"precipitation\": 62.223235261304524, \"condition\": \"drizzle\"}]}}, {\"mode\": \"vega-lite\"});\n</script>",
+      "text/plain": "alt.Chart(...)"
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "base = alt.Chart(df)\n",
+    "bar = base.mark_bar().encode(\n",
+    "    x=alt.X(field='condition', \n",
+    "            type='nominal', \n",
+    "            scale=alt.Scale(type='ordinal')),\n",
+    "    y=alt.Y(field='temperature', \n",
+    "            type='quantitative', \n",
+    "            aggregate='mean', \n",
+    "            scale=alt.Scale(type='linear', zero=True))\n",
+    ")\n",
+    "display_chart(bar)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Radial Chart"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 51,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "{'field': [{'name': 'temperature', 'type': 'number'},\n",
+      "           {'name': 'condition', 'type': 'string'}],\n",
+      " 'number_rows': 100,\n",
+      " 'view': [{'coordinates': 'polar',\n",
+      "           'mark': [{'encoding': [{'channel': 'x', 'field': 'condition'},\n",
+      "                                  {'aggregate': 'mean',\n",
+      "                                   'channel': 'y',\n",
+      "                                   'field': 'temperature'}],\n",
+      "                     'type': 'bar'}],\n",
+      "           'scale': [{'channel': 'x', 'type': 'ordinal'},\n",
+      "                     {'channel': 'y', 'type': 'linear', 'zero': 'true'}]}]}\n"
+     ]
+    }
+   ],
+   "source": [
+    "facts = ['attribute(number_rows,root,100).',\n",
+    " 'entity(field,root,temperature).',\n",
+    " 'attribute((field,name),temperature,temperature).',\n",
+    " 'attribute((field,type),temperature,number).',\n",
+    " 'entity(field,root,condition).',\n",
+    " 'attribute((field,name),condition,condition).',\n",
+    " 'attribute((field,type),condition,string).',\n",
+    " 'entity(view,root,0).',\n",
+    " 'attribute((view,coordinates),0,polar).',\n",
+    " 'entity(mark,0,1).',\n",
+    " 'attribute((mark,type),1,bar).',\n",
+    " 'entity(encoding,1,2).',\n",
+    " 'attribute((encoding,channel),2,x).',\n",
+    " 'attribute((encoding,field),2,condition).',\n",
+    " 'entity(encoding,1,3).',\n",
+    " 'attribute((encoding,channel),3,y).',\n",
+    " 'attribute((encoding,field),3,temperature).',\n",
+    " 'attribute((encoding,aggregate),3,mean).',\n",
+    " 'entity(scale,0,4).',\n",
+    " 'attribute((scale,channel),4,x).',\n",
+    " 'attribute((scale,type),4,ordinal).',\n",
+    " 'entity(scale,0,5).',\n",
+    " 'attribute((scale,channel),5,y).',\n",
+    " 'attribute((scale,type),5,linear).',\n",
+    " 'attribute((scale,zero),5,true).']\n",
+    "spec = facts_to_dict(facts)\n",
+    "pprint(spec)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 52,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "{'$schema': 'https://vega.github.io/schema/vega-lite/v4.17.0.json',\n",
+      " 'config': {'view': {'continuousHeight': 300, 'continuousWidth': 400}},\n",
+      " 'layer': [{'encoding': {'radius': {'aggregate': 'mean',\n",
+      "                                    'field': 'temperature',\n",
+      "                                    'type': 'quantitative'},\n",
+      "                         'theta': {'field': 'condition', 'type': 'nominal'}},\n",
+      "            'mark': {'stroke': '#ffffff', 'type': 'arc'}},\n",
+      "           {'encoding': {'radius': {'aggregate': 'mean',\n",
+      "                                    'field': 'temperature',\n",
+      "                                    'type': 'quantitative'},\n",
+      "                         'text': {'field': 'condition', 'type': 'nominal'},\n",
+      "                         'theta': {'field': 'condition', 'type': 'nominal'}},\n",
+      "            'mark': {'radiusOffset': 15, 'type': 'text'}}]}\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": "\n<div id=\"altair-viz-a1698486899742c7b505e8000a5291a9\"></div>\n<script type=\"text/javascript\">\n  var VEGA_DEBUG = (typeof VEGA_DEBUG == \"undefined\") ? {} : VEGA_DEBUG;\n  (function(spec, embedOpt){\n    let outputDiv = document.currentScript.previousElementSibling;\n    if (outputDiv.id !== \"altair-viz-a1698486899742c7b505e8000a5291a9\") {\n      outputDiv = document.getElementById(\"altair-viz-a1698486899742c7b505e8000a5291a9\");\n    }\n    const paths = {\n      \"vega\": \"https://cdn.jsdelivr.net/npm//vega@5?noext\",\n      \"vega-lib\": \"https://cdn.jsdelivr.net/npm//vega-lib?noext\",\n      \"vega-lite\": \"https://cdn.jsdelivr.net/npm//vega-lite@4.17.0?noext\",\n      \"vega-embed\": \"https://cdn.jsdelivr.net/npm//vega-embed@6?noext\",\n    };\n\n    function maybeLoadScript(lib, version) {\n      var key = `${lib.replace(\"-\", \"\")}_version`;\n      return (VEGA_DEBUG[key] == version) ?\n        Promise.resolve(paths[lib]) :\n        new Promise(function(resolve, reject) {\n          var s = document.createElement('script');\n          document.getElementsByTagName(\"head\")[0].appendChild(s);\n          s.async = true;\n          s.onload = () => {\n            VEGA_DEBUG[key] = version;\n            return resolve(paths[lib]);\n          };\n          s.onerror = () => reject(`Error loading script: ${paths[lib]}`);\n          s.src = paths[lib];\n        });\n    }\n\n    function showError(err) {\n      outputDiv.innerHTML = `<div class=\"error\" style=\"color:red;\">${err}</div>`;\n      throw err;\n    }\n\n    function displayChart(vegaEmbed) {\n      vegaEmbed(outputDiv, spec, embedOpt)\n        .catch(err => showError(`Javascript Error: ${err.message}<br>This usually means there's a typo in your chart specification. See the javascript console for the full traceback.`));\n    }\n\n    if(typeof define === \"function\" && define.amd) {\n      requirejs.config({paths});\n      require([\"vega-embed\"], displayChart, err => showError(`Error loading script: ${err.message}`));\n    } else {\n      maybeLoadScript(\"vega\", \"5\")\n        .then(() => maybeLoadScript(\"vega-lite\", \"4.17.0\"))\n        .then(() => maybeLoadScript(\"vega-embed\", \"6\"))\n        .catch(showError)\n        .then(() => displayChart(vegaEmbed));\n    }\n  })({\"config\": {\"view\": {\"continuousWidth\": 400, \"continuousHeight\": 300}}, \"layer\": [{\"mark\": {\"type\": \"arc\", \"stroke\": \"#ffffff\"}, \"encoding\": {\"radius\": {\"aggregate\": \"mean\", \"field\": \"temperature\", \"type\": \"quantitative\"}, \"theta\": {\"field\": \"condition\", \"type\": \"nominal\"}}}, {\"mark\": {\"type\": \"text\", \"radiusOffset\": 15}, \"encoding\": {\"radius\": {\"aggregate\": \"mean\", \"field\": \"temperature\", \"type\": \"quantitative\"}, \"text\": {\"field\": \"condition\", \"type\": \"nominal\"}, \"theta\": {\"field\": \"condition\", \"type\": \"nominal\"}}}], \"data\": {\"name\": \"data-80b0e930866eee6a77413fd6e0890a78\"}, \"$schema\": \"https://vega.github.io/schema/vega-lite/v4.17.0.json\", \"datasets\": {\"data-80b0e930866eee6a77413fd6e0890a78\": [{\"temperature\": 39.357871877508494, \"wind\": 11.562263885182233, \"precipitation\": 88.42051387921796, \"condition\": \"fog\"}, {\"temperature\": -5.947154608637572, \"wind\": 86.90701738497849, \"precipitation\": 70.55832915444152, \"condition\": \"rain\"}, {\"temperature\": 32.82765627853655, \"wind\": 97.65897402212389, \"precipitation\": 82.65511533530304, \"condition\": \"sun\"}, {\"temperature\": 17.525999106231197, \"wind\": 65.52797477069528, \"precipitation\": 53.86256526101837, \"condition\": \"snow\"}, {\"temperature\": -6.80882656934652, \"wind\": 37.03429394195952, \"precipitation\": 93.86525481254682, \"condition\": \"drizzle\"}, {\"temperature\": 42.35997285539091, \"wind\": 72.00671240950793, \"precipitation\": 40.6587905336316, \"condition\": \"sun\"}, {\"temperature\": 12.236046428620227, \"wind\": 24.35537864304579, \"precipitation\": 83.89080965364893, \"condition\": \"sun\"}, {\"temperature\": 42.8103257781665, \"wind\": 29.81101459268268, \"precipitation\": 71.55020159752638, \"condition\": \"sun\"}, {\"temperature\": 22.54392113778252, \"wind\": 96.88264927669367, \"precipitation\": 57.21207145158276, \"condition\": \"rain\"}, {\"temperature\": 22.503608231529917, \"wind\": 73.45718441223443, \"precipitation\": 18.48099480479052, \"condition\": \"fog\"}, {\"temperature\": 20.697023061259923, \"wind\": 78.8085781529467, \"precipitation\": 82.06153728611223, \"condition\": \"drizzle\"}, {\"temperature\": 25.290109397291054, \"wind\": 80.30649374788099, \"precipitation\": 22.36608661432985, \"condition\": \"sun\"}, {\"temperature\": 38.2799313550365, \"wind\": 67.47085587574028, \"precipitation\": 20.740111999310816, \"condition\": \"snow\"}, {\"temperature\": 3.6725463468113624, \"wind\": 1.0115541087158841, \"precipitation\": 18.15771285571497, \"condition\": \"fog\"}, {\"temperature\": 43.05607594953013, \"wind\": 60.68482719845524, \"precipitation\": 57.77089873340201, \"condition\": \"drizzle\"}, {\"temperature\": 32.26702695541979, \"wind\": 51.25287908408247, \"precipitation\": 82.37499650298116, \"condition\": \"sun\"}, {\"temperature\": 20.65470025342109, \"wind\": 17.357994382399223, \"precipitation\": 61.85803419037972, \"condition\": \"snow\"}, {\"temperature\": 7.591958649416281, \"wind\": 56.87567133218157, \"precipitation\": 63.83705679953054, \"condition\": \"drizzle\"}, {\"temperature\": 34.12588295742098, \"wind\": 53.49706318356736, \"precipitation\": 39.89871505509641, \"condition\": \"drizzle\"}, {\"temperature\": 43.35047614485006, \"wind\": 25.611854852857896, \"precipitation\": 80.36992353488051, \"condition\": \"sun\"}, {\"temperature\": -0.6670916465821719, \"wind\": 85.48944217634627, \"precipitation\": 74.19603252504737, \"condition\": \"fog\"}, {\"temperature\": 27.71533514546813, \"wind\": 92.40258299219964, \"precipitation\": 35.46329445299181, \"condition\": \"sun\"}, {\"temperature\": 42.990310063528334, \"wind\": 4.767210553938305, \"precipitation\": 78.84896594785124, \"condition\": \"drizzle\"}, {\"temperature\": 12.78024257419457, \"wind\": 70.42789298007587, \"precipitation\": 32.19857853159736, \"condition\": \"rain\"}, {\"temperature\": 12.345464511586698, \"wind\": 96.37504245663669, \"precipitation\": 58.32326475918834, \"condition\": \"drizzle\"}, {\"temperature\": 16.615985139736694, \"wind\": 79.42654814203834, \"precipitation\": 13.002687080260278, \"condition\": \"drizzle\"}, {\"temperature\": 37.42489242698708, \"wind\": 61.345695045120095, \"precipitation\": 43.77564041090408, \"condition\": \"rain\"}, {\"temperature\": 4.4803758908315565, \"wind\": 49.77522034422004, \"precipitation\": 50.69600709811043, \"condition\": \"drizzle\"}, {\"temperature\": 24.097652039323982, \"wind\": 8.979384326640405, \"precipitation\": 30.641954593528485, \"condition\": \"sun\"}, {\"temperature\": -5.322217743871135, \"wind\": 61.189346843944705, \"precipitation\": 31.593229557269186, \"condition\": \"snow\"}, {\"temperature\": 9.656575236136984, \"wind\": 2.1373906951494104, \"precipitation\": 57.5465193225844, \"condition\": \"rain\"}, {\"temperature\": 23.09003214094531, \"wind\": 16.8504340533028, \"precipitation\": 49.38199137777561, \"condition\": \"snow\"}, {\"temperature\": -0.8910674950475652, \"wind\": 67.4372389241753, \"precipitation\": 44.01373586297284, \"condition\": \"drizzle\"}, {\"temperature\": 38.77628981797657, \"wind\": 19.349109733319814, \"precipitation\": 18.478064234157422, \"condition\": \"snow\"}, {\"temperature\": 3.4205075380082093, \"wind\": 27.407919047755026, \"precipitation\": 32.84745237938085, \"condition\": \"fog\"}, {\"temperature\": -5.033320662096024, \"wind\": 94.25698462447689, \"precipitation\": 43.460229120490254, \"condition\": \"fog\"}, {\"temperature\": -9.971237977814939, \"wind\": 93.98073112476098, \"precipitation\": 74.78247080628827, \"condition\": \"sun\"}, {\"temperature\": 14.882883965973484, \"wind\": 24.785612027523594, \"precipitation\": 51.19773747140527, \"condition\": \"drizzle\"}, {\"temperature\": 14.018034425277474, \"wind\": 91.62717881393021, \"precipitation\": 99.49522416477019, \"condition\": \"sun\"}, {\"temperature\": 31.305982604448104, \"wind\": 40.90373869893349, \"precipitation\": 74.89298496286528, \"condition\": \"rain\"}, {\"temperature\": 30.610723278623702, \"wind\": 42.06017669565571, \"precipitation\": 69.67703870061514, \"condition\": \"snow\"}, {\"temperature\": 34.74664418075527, \"wind\": 38.58462817605697, \"precipitation\": 67.82787083848606, \"condition\": \"sun\"}, {\"temperature\": 8.120514857460222, \"wind\": 98.79896637292207, \"precipitation\": 21.126567495900296, \"condition\": \"drizzle\"}, {\"temperature\": 21.830015183550092, \"wind\": 22.1211872838582, \"precipitation\": 79.23266981302642, \"condition\": \"fog\"}, {\"temperature\": 37.98236222048335, \"wind\": 3.9308035344873593, \"precipitation\": 14.592671850934291, \"condition\": \"rain\"}, {\"temperature\": 25.958872120055887, \"wind\": 30.880613774748145, \"precipitation\": 81.56963648865039, \"condition\": \"rain\"}, {\"temperature\": 35.17236224867325, \"wind\": 31.08177020391971, \"precipitation\": 24.18647666653794, \"condition\": \"rain\"}, {\"temperature\": 33.364342578760876, \"wind\": 2.9246595809319653, \"precipitation\": 12.15848602978733, \"condition\": \"fog\"}, {\"temperature\": -3.5902835942627487, \"wind\": 86.99227504041556, \"precipitation\": 2.3639517923128017, \"condition\": \"drizzle\"}, {\"temperature\": 43.53091004081406, \"wind\": 70.60869224087214, \"precipitation\": 66.94726954818158, \"condition\": \"rain\"}, {\"temperature\": 1.8337888199719252, \"wind\": 75.06866321814911, \"precipitation\": 53.6891397098117, \"condition\": \"sun\"}, {\"temperature\": 43.47830583880354, \"wind\": 71.68689230524836, \"precipitation\": 31.73117090776013, \"condition\": \"sun\"}, {\"temperature\": 24.70816388894937, \"wind\": 68.30107169120795, \"precipitation\": 20.50225020747416, \"condition\": \"snow\"}, {\"temperature\": 16.05118379980134, \"wind\": 52.99782792799144, \"precipitation\": 11.69028728553364, \"condition\": \"fog\"}, {\"temperature\": 28.077076050276126, \"wind\": 24.843732657120764, \"precipitation\": 7.7565838958533195, \"condition\": \"fog\"}, {\"temperature\": 26.313211105376084, \"wind\": 45.03333651941402, \"precipitation\": 31.41227095201218, \"condition\": \"fog\"}, {\"temperature\": 25.47932407524442, \"wind\": 87.21604759710651, \"precipitation\": 13.96847689136137, \"condition\": \"snow\"}, {\"temperature\": 11.036706749946731, \"wind\": 33.86229598446234, \"precipitation\": 38.968294579117845, \"condition\": \"rain\"}, {\"temperature\": 0.8142265953456, \"wind\": 70.98507415296346, \"precipitation\": 19.273374312321256, \"condition\": \"drizzle\"}, {\"temperature\": 25.391354725358426, \"wind\": 68.9460480155243, \"precipitation\": 93.11546643206357, \"condition\": \"fog\"}, {\"temperature\": 27.7726958317102, \"wind\": 15.439482065514532, \"precipitation\": 5.293937143885552, \"condition\": \"sun\"}, {\"temperature\": 3.0547946822445873, \"wind\": 86.42755659056152, \"precipitation\": 2.624712873155066, \"condition\": \"rain\"}, {\"temperature\": 39.42369527658811, \"wind\": 47.39700920935881, \"precipitation\": 41.728060203985706, \"condition\": \"rain\"}, {\"temperature\": 31.616549252691705, \"wind\": 31.294073920356126, \"precipitation\": 61.66414511625905, \"condition\": \"snow\"}, {\"temperature\": 37.73472491414072, \"wind\": 56.11305268794269, \"precipitation\": 81.92111265208045, \"condition\": \"fog\"}, {\"temperature\": 29.412459474532355, \"wind\": 46.76189099995182, \"precipitation\": 32.17901910781431, \"condition\": \"snow\"}, {\"temperature\": -5.305474080741154, \"wind\": 16.51061166938045, \"precipitation\": 40.72674907868328, \"condition\": \"fog\"}, {\"temperature\": 28.248344335114005, \"wind\": 74.65204013977382, \"precipitation\": 8.992377726473755, \"condition\": \"drizzle\"}, {\"temperature\": 40.71245089747694, \"wind\": 60.52030820865206, \"precipitation\": 5.486289017174572, \"condition\": \"rain\"}, {\"temperature\": 1.2855687063133647, \"wind\": 47.74453362846665, \"precipitation\": 77.71039918592594, \"condition\": \"drizzle\"}, {\"temperature\": 13.997864573343104, \"wind\": 99.2063323267444, \"precipitation\": 14.897152160823302, \"condition\": \"drizzle\"}, {\"temperature\": 18.825549046465813, \"wind\": 96.7516586164724, \"precipitation\": 62.15480712924485, \"condition\": \"rain\"}, {\"temperature\": 17.102600135203243, \"wind\": 95.33201102579268, \"precipitation\": 1.76947633335095, \"condition\": \"rain\"}, {\"temperature\": 31.603226292108516, \"wind\": 80.1260277875885, \"precipitation\": 19.250819441340848, \"condition\": \"drizzle\"}, {\"temperature\": 7.272202684808242, \"wind\": 8.416568701596594, \"precipitation\": 24.486546883662086, \"condition\": \"drizzle\"}, {\"temperature\": 6.42450547762995, \"wind\": 39.273237823513206, \"precipitation\": 59.175511527387584, \"condition\": \"sun\"}, {\"temperature\": 0.37651709537109035, \"wind\": 94.77902759827063, \"precipitation\": 28.64474524803353, \"condition\": \"fog\"}, {\"temperature\": 29.418237348870328, \"wind\": 73.1637224142291, \"precipitation\": 36.384371127988594, \"condition\": \"fog\"}, {\"temperature\": 32.58410407316762, \"wind\": 23.572673866731876, \"precipitation\": 21.78686177609982, \"condition\": \"sun\"}, {\"temperature\": 40.58331555194774, \"wind\": 12.46579946692835, \"precipitation\": 33.052715046353775, \"condition\": \"fog\"}, {\"temperature\": 15.02270799243955, \"wind\": 23.521353082533057, \"precipitation\": 0.5866372551906918, \"condition\": \"rain\"}, {\"temperature\": -1.5856356202583797, \"wind\": 58.706439422107415, \"precipitation\": 23.69625533115679, \"condition\": \"fog\"}, {\"temperature\": 39.83846166807995, \"wind\": 7.925060993257304, \"precipitation\": 73.27745598517468, \"condition\": \"snow\"}, {\"temperature\": 30.25106478610541, \"wind\": 53.60474576386106, \"precipitation\": 76.63592895791527, \"condition\": \"sun\"}, {\"temperature\": 12.08528607254729, \"wind\": 11.679210728025568, \"precipitation\": 21.30987094861694, \"condition\": \"drizzle\"}, {\"temperature\": 20.103305307522167, \"wind\": 35.51132614216856, \"precipitation\": 99.11641742479553, \"condition\": \"snow\"}, {\"temperature\": 34.61293495454381, \"wind\": 16.44814913694985, \"precipitation\": 76.5788070641912, \"condition\": \"sun\"}, {\"temperature\": 5.3304368864748515, \"wind\": 11.488543420187414, \"precipitation\": 23.611522242446682, \"condition\": \"rain\"}, {\"temperature\": 10.624231316087673, \"wind\": 89.57677208906625, \"precipitation\": 17.901521820239154, \"condition\": \"rain\"}, {\"temperature\": 16.45869339879156, \"wind\": 82.14358903068431, \"precipitation\": 50.5274648107178, \"condition\": \"drizzle\"}, {\"temperature\": 30.4859555666389, \"wind\": 85.43429025210673, \"precipitation\": 99.7314407177562, \"condition\": \"sun\"}, {\"temperature\": -7.842697704519862, \"wind\": 20.10431994181, \"precipitation\": 8.499755604198123, \"condition\": \"drizzle\"}, {\"temperature\": 23.82197430970396, \"wind\": 30.71236264475776, \"precipitation\": 91.23232368725205, \"condition\": \"snow\"}, {\"temperature\": 43.63862559514364, \"wind\": 28.821660476932877, \"precipitation\": 99.71103207097889, \"condition\": \"fog\"}, {\"temperature\": 8.981532662882305, \"wind\": 35.921027372850865, \"precipitation\": 91.12082810014113, \"condition\": \"fog\"}, {\"temperature\": 26.077729266653087, \"wind\": 63.53612288999908, \"precipitation\": 90.09748712912719, \"condition\": \"sun\"}, {\"temperature\": 38.44181274295784, \"wind\": 71.99143401846956, \"precipitation\": 21.221688878355216, \"condition\": \"rain\"}, {\"temperature\": 34.78710550916185, \"wind\": 89.27467266301889, \"precipitation\": 41.1955282025937, \"condition\": \"sun\"}, {\"temperature\": -5.848035132361012, \"wind\": 57.23792962073, \"precipitation\": 64.23162970775795, \"condition\": \"rain\"}, {\"temperature\": 0.6933169720006127, \"wind\": 72.76756692493736, \"precipitation\": 62.223235261304524, \"condition\": \"drizzle\"}]}}, {\"mode\": \"vega-lite\"});\n</script>",
+      "text/plain": "alt.LayerChart(...)"
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "base = alt.Chart(df)\n",
+    "arc = base.mark_arc(stroke='#ffffff').encode(\n",
+    "    theta=alt.Theta(field='condition', type='nominal'),\n",
+    "    radius=alt.Radius(field='temperature', type='quantitative', aggregate='mean')\n",
+    ")\n",
+    "text = base.mark_text(radiusOffset=15).encode(\n",
+    "    theta=alt.Theta(field='condition', type='nominal'),\n",
+    "    radius=alt.Radius(field='temperature', type='quantitative', aggregate='mean'),\n",
+    "    text=alt.Text(field='condition', type='nominal')\n",
+    ")\n",
+    "display_chart(arc + text)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Histogram"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 53,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "{'field': [{'name': 'condition', 'type': 'string'}],\n",
+      " 'number_rows': 100,\n",
+      " 'view': [{'mark': [{'encoding': [{'channel': 'x', 'field': 'condition'},\n",
+      "                                  {'aggregate': 'count', 'channel': 'y'}],\n",
+      "                     'type': 'bar'}],\n",
+      "           'scale': [{'channel': 'x', 'type': 'ordinal'},\n",
+      "                     {'channel': 'y', 'type': 'linear', 'zero': 'true'}]}]}\n"
+     ]
+    }
+   ],
+   "source": [
+    "facts = ['attribute(number_rows,root,100).',\n",
+    " 'entity(field,root,condition).',\n",
+    " 'attribute((field,name),condition,condition).',\n",
+    " 'attribute((field,type),condition,string).',\n",
+    " 'entity(view,root,0).',\n",
+    " 'entity(mark,0,1).',\n",
+    " 'attribute((mark,type),1,bar).',\n",
+    " 'entity(encoding,1,2).',\n",
+    " 'attribute((encoding,channel),2,x).',\n",
+    " 'attribute((encoding,field),2,condition).',\n",
+    " 'entity(encoding,1,3).',\n",
+    " 'attribute((encoding,channel),3,y).',\n",
+    " 'attribute((encoding,aggregate),3,count).',\n",
+    " 'entity(scale,0,4).',\n",
+    " 'attribute((scale,channel),4,x).',\n",
+    " 'attribute((scale,type),4,ordinal).',\n",
+    " 'entity(scale,0,5).',\n",
+    " 'attribute((scale,channel),5,y).',\n",
+    " 'attribute((scale,type),5,linear).',\n",
+    " 'attribute((scale,zero),5,true).']\n",
+    "spec = facts_to_dict(facts)\n",
+    "pprint(spec)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 54,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "{'$schema': 'https://vega.github.io/schema/vega-lite/v4.17.0.json',\n",
+      " 'config': {'view': {'continuousHeight': 300, 'continuousWidth': 400}},\n",
+      " 'encoding': {'x': {'field': 'condition',\n",
+      "                    'scale': {'type': 'ordinal'},\n",
+      "                    'type': 'nominal'},\n",
+      "              'y': {'aggregate': 'count',\n",
+      "                    'field': 'condition',\n",
+      "                    'scale': {'type': 'linear', 'zero': True},\n",
+      "                    'type': 'nominal'}},\n",
+      " 'mark': 'bar'}\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": "\n<div id=\"altair-viz-a96b3a6f66bf4806b5884aa551901b3c\"></div>\n<script type=\"text/javascript\">\n  var VEGA_DEBUG = (typeof VEGA_DEBUG == \"undefined\") ? {} : VEGA_DEBUG;\n  (function(spec, embedOpt){\n    let outputDiv = document.currentScript.previousElementSibling;\n    if (outputDiv.id !== \"altair-viz-a96b3a6f66bf4806b5884aa551901b3c\") {\n      outputDiv = document.getElementById(\"altair-viz-a96b3a6f66bf4806b5884aa551901b3c\");\n    }\n    const paths = {\n      \"vega\": \"https://cdn.jsdelivr.net/npm//vega@5?noext\",\n      \"vega-lib\": \"https://cdn.jsdelivr.net/npm//vega-lib?noext\",\n      \"vega-lite\": \"https://cdn.jsdelivr.net/npm//vega-lite@4.17.0?noext\",\n      \"vega-embed\": \"https://cdn.jsdelivr.net/npm//vega-embed@6?noext\",\n    };\n\n    function maybeLoadScript(lib, version) {\n      var key = `${lib.replace(\"-\", \"\")}_version`;\n      return (VEGA_DEBUG[key] == version) ?\n        Promise.resolve(paths[lib]) :\n        new Promise(function(resolve, reject) {\n          var s = document.createElement('script');\n          document.getElementsByTagName(\"head\")[0].appendChild(s);\n          s.async = true;\n          s.onload = () => {\n            VEGA_DEBUG[key] = version;\n            return resolve(paths[lib]);\n          };\n          s.onerror = () => reject(`Error loading script: ${paths[lib]}`);\n          s.src = paths[lib];\n        });\n    }\n\n    function showError(err) {\n      outputDiv.innerHTML = `<div class=\"error\" style=\"color:red;\">${err}</div>`;\n      throw err;\n    }\n\n    function displayChart(vegaEmbed) {\n      vegaEmbed(outputDiv, spec, embedOpt)\n        .catch(err => showError(`Javascript Error: ${err.message}<br>This usually means there's a typo in your chart specification. See the javascript console for the full traceback.`));\n    }\n\n    if(typeof define === \"function\" && define.amd) {\n      requirejs.config({paths});\n      require([\"vega-embed\"], displayChart, err => showError(`Error loading script: ${err.message}`));\n    } else {\n      maybeLoadScript(\"vega\", \"5\")\n        .then(() => maybeLoadScript(\"vega-lite\", \"4.17.0\"))\n        .then(() => maybeLoadScript(\"vega-embed\", \"6\"))\n        .catch(showError)\n        .then(() => displayChart(vegaEmbed));\n    }\n  })({\"config\": {\"view\": {\"continuousWidth\": 400, \"continuousHeight\": 300}}, \"data\": {\"name\": \"data-80b0e930866eee6a77413fd6e0890a78\"}, \"mark\": \"bar\", \"encoding\": {\"x\": {\"field\": \"condition\", \"scale\": {\"type\": \"ordinal\"}, \"type\": \"nominal\"}, \"y\": {\"aggregate\": \"count\", \"field\": \"condition\", \"scale\": {\"type\": \"linear\", \"zero\": true}, \"type\": \"nominal\"}}, \"$schema\": \"https://vega.github.io/schema/vega-lite/v4.17.0.json\", \"datasets\": {\"data-80b0e930866eee6a77413fd6e0890a78\": [{\"temperature\": 39.357871877508494, \"wind\": 11.562263885182233, \"precipitation\": 88.42051387921796, \"condition\": \"fog\"}, {\"temperature\": -5.947154608637572, \"wind\": 86.90701738497849, \"precipitation\": 70.55832915444152, \"condition\": \"rain\"}, {\"temperature\": 32.82765627853655, \"wind\": 97.65897402212389, \"precipitation\": 82.65511533530304, \"condition\": \"sun\"}, {\"temperature\": 17.525999106231197, \"wind\": 65.52797477069528, \"precipitation\": 53.86256526101837, \"condition\": \"snow\"}, {\"temperature\": -6.80882656934652, \"wind\": 37.03429394195952, \"precipitation\": 93.86525481254682, \"condition\": \"drizzle\"}, {\"temperature\": 42.35997285539091, \"wind\": 72.00671240950793, \"precipitation\": 40.6587905336316, \"condition\": \"sun\"}, {\"temperature\": 12.236046428620227, \"wind\": 24.35537864304579, \"precipitation\": 83.89080965364893, \"condition\": \"sun\"}, {\"temperature\": 42.8103257781665, \"wind\": 29.81101459268268, \"precipitation\": 71.55020159752638, \"condition\": \"sun\"}, {\"temperature\": 22.54392113778252, \"wind\": 96.88264927669367, \"precipitation\": 57.21207145158276, \"condition\": \"rain\"}, {\"temperature\": 22.503608231529917, \"wind\": 73.45718441223443, \"precipitation\": 18.48099480479052, \"condition\": \"fog\"}, {\"temperature\": 20.697023061259923, \"wind\": 78.8085781529467, \"precipitation\": 82.06153728611223, \"condition\": \"drizzle\"}, {\"temperature\": 25.290109397291054, \"wind\": 80.30649374788099, \"precipitation\": 22.36608661432985, \"condition\": \"sun\"}, {\"temperature\": 38.2799313550365, \"wind\": 67.47085587574028, \"precipitation\": 20.740111999310816, \"condition\": \"snow\"}, {\"temperature\": 3.6725463468113624, \"wind\": 1.0115541087158841, \"precipitation\": 18.15771285571497, \"condition\": \"fog\"}, {\"temperature\": 43.05607594953013, \"wind\": 60.68482719845524, \"precipitation\": 57.77089873340201, \"condition\": \"drizzle\"}, {\"temperature\": 32.26702695541979, \"wind\": 51.25287908408247, \"precipitation\": 82.37499650298116, \"condition\": \"sun\"}, {\"temperature\": 20.65470025342109, \"wind\": 17.357994382399223, \"precipitation\": 61.85803419037972, \"condition\": \"snow\"}, {\"temperature\": 7.591958649416281, \"wind\": 56.87567133218157, \"precipitation\": 63.83705679953054, \"condition\": \"drizzle\"}, {\"temperature\": 34.12588295742098, \"wind\": 53.49706318356736, \"precipitation\": 39.89871505509641, \"condition\": \"drizzle\"}, {\"temperature\": 43.35047614485006, \"wind\": 25.611854852857896, \"precipitation\": 80.36992353488051, \"condition\": \"sun\"}, {\"temperature\": -0.6670916465821719, \"wind\": 85.48944217634627, \"precipitation\": 74.19603252504737, \"condition\": \"fog\"}, {\"temperature\": 27.71533514546813, \"wind\": 92.40258299219964, \"precipitation\": 35.46329445299181, \"condition\": \"sun\"}, {\"temperature\": 42.990310063528334, \"wind\": 4.767210553938305, \"precipitation\": 78.84896594785124, \"condition\": \"drizzle\"}, {\"temperature\": 12.78024257419457, \"wind\": 70.42789298007587, \"precipitation\": 32.19857853159736, \"condition\": \"rain\"}, {\"temperature\": 12.345464511586698, \"wind\": 96.37504245663669, \"precipitation\": 58.32326475918834, \"condition\": \"drizzle\"}, {\"temperature\": 16.615985139736694, \"wind\": 79.42654814203834, \"precipitation\": 13.002687080260278, \"condition\": \"drizzle\"}, {\"temperature\": 37.42489242698708, \"wind\": 61.345695045120095, \"precipitation\": 43.77564041090408, \"condition\": \"rain\"}, {\"temperature\": 4.4803758908315565, \"wind\": 49.77522034422004, \"precipitation\": 50.69600709811043, \"condition\": \"drizzle\"}, {\"temperature\": 24.097652039323982, \"wind\": 8.979384326640405, \"precipitation\": 30.641954593528485, \"condition\": \"sun\"}, {\"temperature\": -5.322217743871135, \"wind\": 61.189346843944705, \"precipitation\": 31.593229557269186, \"condition\": \"snow\"}, {\"temperature\": 9.656575236136984, \"wind\": 2.1373906951494104, \"precipitation\": 57.5465193225844, \"condition\": \"rain\"}, {\"temperature\": 23.09003214094531, \"wind\": 16.8504340533028, \"precipitation\": 49.38199137777561, \"condition\": \"snow\"}, {\"temperature\": -0.8910674950475652, \"wind\": 67.4372389241753, \"precipitation\": 44.01373586297284, \"condition\": \"drizzle\"}, {\"temperature\": 38.77628981797657, \"wind\": 19.349109733319814, \"precipitation\": 18.478064234157422, \"condition\": \"snow\"}, {\"temperature\": 3.4205075380082093, \"wind\": 27.407919047755026, \"precipitation\": 32.84745237938085, \"condition\": \"fog\"}, {\"temperature\": -5.033320662096024, \"wind\": 94.25698462447689, \"precipitation\": 43.460229120490254, \"condition\": \"fog\"}, {\"temperature\": -9.971237977814939, \"wind\": 93.98073112476098, \"precipitation\": 74.78247080628827, \"condition\": \"sun\"}, {\"temperature\": 14.882883965973484, \"wind\": 24.785612027523594, \"precipitation\": 51.19773747140527, \"condition\": \"drizzle\"}, {\"temperature\": 14.018034425277474, \"wind\": 91.62717881393021, \"precipitation\": 99.49522416477019, \"condition\": \"sun\"}, {\"temperature\": 31.305982604448104, \"wind\": 40.90373869893349, \"precipitation\": 74.89298496286528, \"condition\": \"rain\"}, {\"temperature\": 30.610723278623702, \"wind\": 42.06017669565571, \"precipitation\": 69.67703870061514, \"condition\": \"snow\"}, {\"temperature\": 34.74664418075527, \"wind\": 38.58462817605697, \"precipitation\": 67.82787083848606, \"condition\": \"sun\"}, {\"temperature\": 8.120514857460222, \"wind\": 98.79896637292207, \"precipitation\": 21.126567495900296, \"condition\": \"drizzle\"}, {\"temperature\": 21.830015183550092, \"wind\": 22.1211872838582, \"precipitation\": 79.23266981302642, \"condition\": \"fog\"}, {\"temperature\": 37.98236222048335, \"wind\": 3.9308035344873593, \"precipitation\": 14.592671850934291, \"condition\": \"rain\"}, {\"temperature\": 25.958872120055887, \"wind\": 30.880613774748145, \"precipitation\": 81.56963648865039, \"condition\": \"rain\"}, {\"temperature\": 35.17236224867325, \"wind\": 31.08177020391971, \"precipitation\": 24.18647666653794, \"condition\": \"rain\"}, {\"temperature\": 33.364342578760876, \"wind\": 2.9246595809319653, \"precipitation\": 12.15848602978733, \"condition\": \"fog\"}, {\"temperature\": -3.5902835942627487, \"wind\": 86.99227504041556, \"precipitation\": 2.3639517923128017, \"condition\": \"drizzle\"}, {\"temperature\": 43.53091004081406, \"wind\": 70.60869224087214, \"precipitation\": 66.94726954818158, \"condition\": \"rain\"}, {\"temperature\": 1.8337888199719252, \"wind\": 75.06866321814911, \"precipitation\": 53.6891397098117, \"condition\": \"sun\"}, {\"temperature\": 43.47830583880354, \"wind\": 71.68689230524836, \"precipitation\": 31.73117090776013, \"condition\": \"sun\"}, {\"temperature\": 24.70816388894937, \"wind\": 68.30107169120795, \"precipitation\": 20.50225020747416, \"condition\": \"snow\"}, {\"temperature\": 16.05118379980134, \"wind\": 52.99782792799144, \"precipitation\": 11.69028728553364, \"condition\": \"fog\"}, {\"temperature\": 28.077076050276126, \"wind\": 24.843732657120764, \"precipitation\": 7.7565838958533195, \"condition\": \"fog\"}, {\"temperature\": 26.313211105376084, \"wind\": 45.03333651941402, \"precipitation\": 31.41227095201218, \"condition\": \"fog\"}, {\"temperature\": 25.47932407524442, \"wind\": 87.21604759710651, \"precipitation\": 13.96847689136137, \"condition\": \"snow\"}, {\"temperature\": 11.036706749946731, \"wind\": 33.86229598446234, \"precipitation\": 38.968294579117845, \"condition\": \"rain\"}, {\"temperature\": 0.8142265953456, \"wind\": 70.98507415296346, \"precipitation\": 19.273374312321256, \"condition\": \"drizzle\"}, {\"temperature\": 25.391354725358426, \"wind\": 68.9460480155243, \"precipitation\": 93.11546643206357, \"condition\": \"fog\"}, {\"temperature\": 27.7726958317102, \"wind\": 15.439482065514532, \"precipitation\": 5.293937143885552, \"condition\": \"sun\"}, {\"temperature\": 3.0547946822445873, \"wind\": 86.42755659056152, \"precipitation\": 2.624712873155066, \"condition\": \"rain\"}, {\"temperature\": 39.42369527658811, \"wind\": 47.39700920935881, \"precipitation\": 41.728060203985706, \"condition\": \"rain\"}, {\"temperature\": 31.616549252691705, \"wind\": 31.294073920356126, \"precipitation\": 61.66414511625905, \"condition\": \"snow\"}, {\"temperature\": 37.73472491414072, \"wind\": 56.11305268794269, \"precipitation\": 81.92111265208045, \"condition\": \"fog\"}, {\"temperature\": 29.412459474532355, \"wind\": 46.76189099995182, \"precipitation\": 32.17901910781431, \"condition\": \"snow\"}, {\"temperature\": -5.305474080741154, \"wind\": 16.51061166938045, \"precipitation\": 40.72674907868328, \"condition\": \"fog\"}, {\"temperature\": 28.248344335114005, \"wind\": 74.65204013977382, \"precipitation\": 8.992377726473755, \"condition\": \"drizzle\"}, {\"temperature\": 40.71245089747694, \"wind\": 60.52030820865206, \"precipitation\": 5.486289017174572, \"condition\": \"rain\"}, {\"temperature\": 1.2855687063133647, \"wind\": 47.74453362846665, \"precipitation\": 77.71039918592594, \"condition\": \"drizzle\"}, {\"temperature\": 13.997864573343104, \"wind\": 99.2063323267444, \"precipitation\": 14.897152160823302, \"condition\": \"drizzle\"}, {\"temperature\": 18.825549046465813, \"wind\": 96.7516586164724, \"precipitation\": 62.15480712924485, \"condition\": \"rain\"}, {\"temperature\": 17.102600135203243, \"wind\": 95.33201102579268, \"precipitation\": 1.76947633335095, \"condition\": \"rain\"}, {\"temperature\": 31.603226292108516, \"wind\": 80.1260277875885, \"precipitation\": 19.250819441340848, \"condition\": \"drizzle\"}, {\"temperature\": 7.272202684808242, \"wind\": 8.416568701596594, \"precipitation\": 24.486546883662086, \"condition\": \"drizzle\"}, {\"temperature\": 6.42450547762995, \"wind\": 39.273237823513206, \"precipitation\": 59.175511527387584, \"condition\": \"sun\"}, {\"temperature\": 0.37651709537109035, \"wind\": 94.77902759827063, \"precipitation\": 28.64474524803353, \"condition\": \"fog\"}, {\"temperature\": 29.418237348870328, \"wind\": 73.1637224142291, \"precipitation\": 36.384371127988594, \"condition\": \"fog\"}, {\"temperature\": 32.58410407316762, \"wind\": 23.572673866731876, \"precipitation\": 21.78686177609982, \"condition\": \"sun\"}, {\"temperature\": 40.58331555194774, \"wind\": 12.46579946692835, \"precipitation\": 33.052715046353775, \"condition\": \"fog\"}, {\"temperature\": 15.02270799243955, \"wind\": 23.521353082533057, \"precipitation\": 0.5866372551906918, \"condition\": \"rain\"}, {\"temperature\": -1.5856356202583797, \"wind\": 58.706439422107415, \"precipitation\": 23.69625533115679, \"condition\": \"fog\"}, {\"temperature\": 39.83846166807995, \"wind\": 7.925060993257304, \"precipitation\": 73.27745598517468, \"condition\": \"snow\"}, {\"temperature\": 30.25106478610541, \"wind\": 53.60474576386106, \"precipitation\": 76.63592895791527, \"condition\": \"sun\"}, {\"temperature\": 12.08528607254729, \"wind\": 11.679210728025568, \"precipitation\": 21.30987094861694, \"condition\": \"drizzle\"}, {\"temperature\": 20.103305307522167, \"wind\": 35.51132614216856, \"precipitation\": 99.11641742479553, \"condition\": \"snow\"}, {\"temperature\": 34.61293495454381, \"wind\": 16.44814913694985, \"precipitation\": 76.5788070641912, \"condition\": \"sun\"}, {\"temperature\": 5.3304368864748515, \"wind\": 11.488543420187414, \"precipitation\": 23.611522242446682, \"condition\": \"rain\"}, {\"temperature\": 10.624231316087673, \"wind\": 89.57677208906625, \"precipitation\": 17.901521820239154, \"condition\": \"rain\"}, {\"temperature\": 16.45869339879156, \"wind\": 82.14358903068431, \"precipitation\": 50.5274648107178, \"condition\": \"drizzle\"}, {\"temperature\": 30.4859555666389, \"wind\": 85.43429025210673, \"precipitation\": 99.7314407177562, \"condition\": \"sun\"}, {\"temperature\": -7.842697704519862, \"wind\": 20.10431994181, \"precipitation\": 8.499755604198123, \"condition\": \"drizzle\"}, {\"temperature\": 23.82197430970396, \"wind\": 30.71236264475776, \"precipitation\": 91.23232368725205, \"condition\": \"snow\"}, {\"temperature\": 43.63862559514364, \"wind\": 28.821660476932877, \"precipitation\": 99.71103207097889, \"condition\": \"fog\"}, {\"temperature\": 8.981532662882305, \"wind\": 35.921027372850865, \"precipitation\": 91.12082810014113, \"condition\": \"fog\"}, {\"temperature\": 26.077729266653087, \"wind\": 63.53612288999908, \"precipitation\": 90.09748712912719, \"condition\": \"sun\"}, {\"temperature\": 38.44181274295784, \"wind\": 71.99143401846956, \"precipitation\": 21.221688878355216, \"condition\": \"rain\"}, {\"temperature\": 34.78710550916185, \"wind\": 89.27467266301889, \"precipitation\": 41.1955282025937, \"condition\": \"sun\"}, {\"temperature\": -5.848035132361012, \"wind\": 57.23792962073, \"precipitation\": 64.23162970775795, \"condition\": \"rain\"}, {\"temperature\": 0.6933169720006127, \"wind\": 72.76756692493736, \"precipitation\": 62.223235261304524, \"condition\": \"drizzle\"}]}}, {\"mode\": \"vega-lite\"});\n</script>",
+      "text/plain": "alt.Chart(...)"
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "base = alt.Chart(df)\n",
+    "bar = base.mark_bar().encode(\n",
+    "    x=alt.X(field='condition', \n",
+    "            type='nominal', \n",
+    "            scale=alt.Scale(type='ordinal')),\n",
+    "    y=alt.Y(field='condition', \n",
+    "            type='nominal', \n",
+    "            aggregate='count', \n",
+    "            scale=alt.Scale(type='linear', zero=True))\n",
+    ")\n",
+    "display_chart(bar)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Binned Histrogram"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 55,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "{'field': [{'name': 'temperature', 'type': 'number'}],\n",
+      " 'number_rows': 100,\n",
+      " 'view': [{'mark': [{'encoding': [{'binning': 10,\n",
+      "                                   'channel': 'x',\n",
+      "                                   'field': 'temperature'},\n",
+      "                                  {'aggregate': 'count', 'channel': 'y'}],\n",
+      "                     'type': 'bar'}],\n",
+      "           'scale': [{'channel': 'x', 'type': 'linear'},\n",
+      "                     {'channel': 'y', 'type': 'linear', 'zero': 'true'}]}]}\n"
+     ]
+    }
+   ],
+   "source": [
+    "facts = ['attribute(number_rows,root,100).',\n",
+    " 'entity(field,root,temperature).',\n",
+    " 'attribute((field,name),temperature,temperature).',\n",
+    " 'attribute((field,type),temperature,number).',\n",
+    " 'entity(view,root,0).',\n",
+    " 'entity(mark,0,1).',\n",
+    " 'attribute((mark,type),1,bar).',\n",
+    " 'entity(encoding,1,2).',\n",
+    " 'attribute((encoding,channel),2,x).',\n",
+    " 'attribute((encoding,field),2,temperature).',\n",
+    " 'attribute((encoding,binning),2,10).',\n",
+    " 'entity(encoding,1,3).',\n",
+    " 'attribute((encoding,channel),3,y).',\n",
+    " 'attribute((encoding,aggregate),3,count).',\n",
+    " 'entity(scale,0,4).',\n",
+    " 'attribute((scale,channel),4,x).',\n",
+    " 'attribute((scale,type),4,linear).',\n",
+    " 'entity(scale,0,5).',\n",
+    " 'attribute((scale,channel),5,y).',\n",
+    " 'attribute((scale,type),5,linear).',\n",
+    " 'attribute((scale,zero),5,true).']\n",
+    "spec = facts_to_dict(facts)\n",
+    "pprint(spec)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 56,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "{'$schema': 'https://vega.github.io/schema/vega-lite/v4.17.0.json',\n",
+      " 'config': {'view': {'continuousHeight': 300, 'continuousWidth': 400}},\n",
+      " 'encoding': {'x': {'bin': {'maxbins': 10},\n",
+      "                    'field': 'temperature',\n",
+      "                    'scale': {'type': 'linear'},\n",
+      "                    'type': 'quantitative'},\n",
+      "              'y': {'aggregate': 'count',\n",
+      "                    'field': 'temperature',\n",
+      "                    'scale': {'type': 'linear', 'zero': True},\n",
+      "                    'type': 'quantitative'}},\n",
+      " 'mark': 'bar'}\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": "\n<div id=\"altair-viz-51464b8f78834a69866f48ea257790e6\"></div>\n<script type=\"text/javascript\">\n  var VEGA_DEBUG = (typeof VEGA_DEBUG == \"undefined\") ? {} : VEGA_DEBUG;\n  (function(spec, embedOpt){\n    let outputDiv = document.currentScript.previousElementSibling;\n    if (outputDiv.id !== \"altair-viz-51464b8f78834a69866f48ea257790e6\") {\n      outputDiv = document.getElementById(\"altair-viz-51464b8f78834a69866f48ea257790e6\");\n    }\n    const paths = {\n      \"vega\": \"https://cdn.jsdelivr.net/npm//vega@5?noext\",\n      \"vega-lib\": \"https://cdn.jsdelivr.net/npm//vega-lib?noext\",\n      \"vega-lite\": \"https://cdn.jsdelivr.net/npm//vega-lite@4.17.0?noext\",\n      \"vega-embed\": \"https://cdn.jsdelivr.net/npm//vega-embed@6?noext\",\n    };\n\n    function maybeLoadScript(lib, version) {\n      var key = `${lib.replace(\"-\", \"\")}_version`;\n      return (VEGA_DEBUG[key] == version) ?\n        Promise.resolve(paths[lib]) :\n        new Promise(function(resolve, reject) {\n          var s = document.createElement('script');\n          document.getElementsByTagName(\"head\")[0].appendChild(s);\n          s.async = true;\n          s.onload = () => {\n            VEGA_DEBUG[key] = version;\n            return resolve(paths[lib]);\n          };\n          s.onerror = () => reject(`Error loading script: ${paths[lib]}`);\n          s.src = paths[lib];\n        });\n    }\n\n    function showError(err) {\n      outputDiv.innerHTML = `<div class=\"error\" style=\"color:red;\">${err}</div>`;\n      throw err;\n    }\n\n    function displayChart(vegaEmbed) {\n      vegaEmbed(outputDiv, spec, embedOpt)\n        .catch(err => showError(`Javascript Error: ${err.message}<br>This usually means there's a typo in your chart specification. See the javascript console for the full traceback.`));\n    }\n\n    if(typeof define === \"function\" && define.amd) {\n      requirejs.config({paths});\n      require([\"vega-embed\"], displayChart, err => showError(`Error loading script: ${err.message}`));\n    } else {\n      maybeLoadScript(\"vega\", \"5\")\n        .then(() => maybeLoadScript(\"vega-lite\", \"4.17.0\"))\n        .then(() => maybeLoadScript(\"vega-embed\", \"6\"))\n        .catch(showError)\n        .then(() => displayChart(vegaEmbed));\n    }\n  })({\"config\": {\"view\": {\"continuousWidth\": 400, \"continuousHeight\": 300}}, \"data\": {\"name\": \"data-80b0e930866eee6a77413fd6e0890a78\"}, \"mark\": \"bar\", \"encoding\": {\"x\": {\"bin\": {\"maxbins\": 10}, \"field\": \"temperature\", \"scale\": {\"type\": \"linear\"}, \"type\": \"quantitative\"}, \"y\": {\"aggregate\": \"count\", \"field\": \"temperature\", \"scale\": {\"type\": \"linear\", \"zero\": true}, \"type\": \"quantitative\"}}, \"$schema\": \"https://vega.github.io/schema/vega-lite/v4.17.0.json\", \"datasets\": {\"data-80b0e930866eee6a77413fd6e0890a78\": [{\"temperature\": 39.357871877508494, \"wind\": 11.562263885182233, \"precipitation\": 88.42051387921796, \"condition\": \"fog\"}, {\"temperature\": -5.947154608637572, \"wind\": 86.90701738497849, \"precipitation\": 70.55832915444152, \"condition\": \"rain\"}, {\"temperature\": 32.82765627853655, \"wind\": 97.65897402212389, \"precipitation\": 82.65511533530304, \"condition\": \"sun\"}, {\"temperature\": 17.525999106231197, \"wind\": 65.52797477069528, \"precipitation\": 53.86256526101837, \"condition\": \"snow\"}, {\"temperature\": -6.80882656934652, \"wind\": 37.03429394195952, \"precipitation\": 93.86525481254682, \"condition\": \"drizzle\"}, {\"temperature\": 42.35997285539091, \"wind\": 72.00671240950793, \"precipitation\": 40.6587905336316, \"condition\": \"sun\"}, {\"temperature\": 12.236046428620227, \"wind\": 24.35537864304579, \"precipitation\": 83.89080965364893, \"condition\": \"sun\"}, {\"temperature\": 42.8103257781665, \"wind\": 29.81101459268268, \"precipitation\": 71.55020159752638, \"condition\": \"sun\"}, {\"temperature\": 22.54392113778252, \"wind\": 96.88264927669367, \"precipitation\": 57.21207145158276, \"condition\": \"rain\"}, {\"temperature\": 22.503608231529917, \"wind\": 73.45718441223443, \"precipitation\": 18.48099480479052, \"condition\": \"fog\"}, {\"temperature\": 20.697023061259923, \"wind\": 78.8085781529467, \"precipitation\": 82.06153728611223, \"condition\": \"drizzle\"}, {\"temperature\": 25.290109397291054, \"wind\": 80.30649374788099, \"precipitation\": 22.36608661432985, \"condition\": \"sun\"}, {\"temperature\": 38.2799313550365, \"wind\": 67.47085587574028, \"precipitation\": 20.740111999310816, \"condition\": \"snow\"}, {\"temperature\": 3.6725463468113624, \"wind\": 1.0115541087158841, \"precipitation\": 18.15771285571497, \"condition\": \"fog\"}, {\"temperature\": 43.05607594953013, \"wind\": 60.68482719845524, \"precipitation\": 57.77089873340201, \"condition\": \"drizzle\"}, {\"temperature\": 32.26702695541979, \"wind\": 51.25287908408247, \"precipitation\": 82.37499650298116, \"condition\": \"sun\"}, {\"temperature\": 20.65470025342109, \"wind\": 17.357994382399223, \"precipitation\": 61.85803419037972, \"condition\": \"snow\"}, {\"temperature\": 7.591958649416281, \"wind\": 56.87567133218157, \"precipitation\": 63.83705679953054, \"condition\": \"drizzle\"}, {\"temperature\": 34.12588295742098, \"wind\": 53.49706318356736, \"precipitation\": 39.89871505509641, \"condition\": \"drizzle\"}, {\"temperature\": 43.35047614485006, \"wind\": 25.611854852857896, \"precipitation\": 80.36992353488051, \"condition\": \"sun\"}, {\"temperature\": -0.6670916465821719, \"wind\": 85.48944217634627, \"precipitation\": 74.19603252504737, \"condition\": \"fog\"}, {\"temperature\": 27.71533514546813, \"wind\": 92.40258299219964, \"precipitation\": 35.46329445299181, \"condition\": \"sun\"}, {\"temperature\": 42.990310063528334, \"wind\": 4.767210553938305, \"precipitation\": 78.84896594785124, \"condition\": \"drizzle\"}, {\"temperature\": 12.78024257419457, \"wind\": 70.42789298007587, \"precipitation\": 32.19857853159736, \"condition\": \"rain\"}, {\"temperature\": 12.345464511586698, \"wind\": 96.37504245663669, \"precipitation\": 58.32326475918834, \"condition\": \"drizzle\"}, {\"temperature\": 16.615985139736694, \"wind\": 79.42654814203834, \"precipitation\": 13.002687080260278, \"condition\": \"drizzle\"}, {\"temperature\": 37.42489242698708, \"wind\": 61.345695045120095, \"precipitation\": 43.77564041090408, \"condition\": \"rain\"}, {\"temperature\": 4.4803758908315565, \"wind\": 49.77522034422004, \"precipitation\": 50.69600709811043, \"condition\": \"drizzle\"}, {\"temperature\": 24.097652039323982, \"wind\": 8.979384326640405, \"precipitation\": 30.641954593528485, \"condition\": \"sun\"}, {\"temperature\": -5.322217743871135, \"wind\": 61.189346843944705, \"precipitation\": 31.593229557269186, \"condition\": \"snow\"}, {\"temperature\": 9.656575236136984, \"wind\": 2.1373906951494104, \"precipitation\": 57.5465193225844, \"condition\": \"rain\"}, {\"temperature\": 23.09003214094531, \"wind\": 16.8504340533028, \"precipitation\": 49.38199137777561, \"condition\": \"snow\"}, {\"temperature\": -0.8910674950475652, \"wind\": 67.4372389241753, \"precipitation\": 44.01373586297284, \"condition\": \"drizzle\"}, {\"temperature\": 38.77628981797657, \"wind\": 19.349109733319814, \"precipitation\": 18.478064234157422, \"condition\": \"snow\"}, {\"temperature\": 3.4205075380082093, \"wind\": 27.407919047755026, \"precipitation\": 32.84745237938085, \"condition\": \"fog\"}, {\"temperature\": -5.033320662096024, \"wind\": 94.25698462447689, \"precipitation\": 43.460229120490254, \"condition\": \"fog\"}, {\"temperature\": -9.971237977814939, \"wind\": 93.98073112476098, \"precipitation\": 74.78247080628827, \"condition\": \"sun\"}, {\"temperature\": 14.882883965973484, \"wind\": 24.785612027523594, \"precipitation\": 51.19773747140527, \"condition\": \"drizzle\"}, {\"temperature\": 14.018034425277474, \"wind\": 91.62717881393021, \"precipitation\": 99.49522416477019, \"condition\": \"sun\"}, {\"temperature\": 31.305982604448104, \"wind\": 40.90373869893349, \"precipitation\": 74.89298496286528, \"condition\": \"rain\"}, {\"temperature\": 30.610723278623702, \"wind\": 42.06017669565571, \"precipitation\": 69.67703870061514, \"condition\": \"snow\"}, {\"temperature\": 34.74664418075527, \"wind\": 38.58462817605697, \"precipitation\": 67.82787083848606, \"condition\": \"sun\"}, {\"temperature\": 8.120514857460222, \"wind\": 98.79896637292207, \"precipitation\": 21.126567495900296, \"condition\": \"drizzle\"}, {\"temperature\": 21.830015183550092, \"wind\": 22.1211872838582, \"precipitation\": 79.23266981302642, \"condition\": \"fog\"}, {\"temperature\": 37.98236222048335, \"wind\": 3.9308035344873593, \"precipitation\": 14.592671850934291, \"condition\": \"rain\"}, {\"temperature\": 25.958872120055887, \"wind\": 30.880613774748145, \"precipitation\": 81.56963648865039, \"condition\": \"rain\"}, {\"temperature\": 35.17236224867325, \"wind\": 31.08177020391971, \"precipitation\": 24.18647666653794, \"condition\": \"rain\"}, {\"temperature\": 33.364342578760876, \"wind\": 2.9246595809319653, \"precipitation\": 12.15848602978733, \"condition\": \"fog\"}, {\"temperature\": -3.5902835942627487, \"wind\": 86.99227504041556, \"precipitation\": 2.3639517923128017, \"condition\": \"drizzle\"}, {\"temperature\": 43.53091004081406, \"wind\": 70.60869224087214, \"precipitation\": 66.94726954818158, \"condition\": \"rain\"}, {\"temperature\": 1.8337888199719252, \"wind\": 75.06866321814911, \"precipitation\": 53.6891397098117, \"condition\": \"sun\"}, {\"temperature\": 43.47830583880354, \"wind\": 71.68689230524836, \"precipitation\": 31.73117090776013, \"condition\": \"sun\"}, {\"temperature\": 24.70816388894937, \"wind\": 68.30107169120795, \"precipitation\": 20.50225020747416, \"condition\": \"snow\"}, {\"temperature\": 16.05118379980134, \"wind\": 52.99782792799144, \"precipitation\": 11.69028728553364, \"condition\": \"fog\"}, {\"temperature\": 28.077076050276126, \"wind\": 24.843732657120764, \"precipitation\": 7.7565838958533195, \"condition\": \"fog\"}, {\"temperature\": 26.313211105376084, \"wind\": 45.03333651941402, \"precipitation\": 31.41227095201218, \"condition\": \"fog\"}, {\"temperature\": 25.47932407524442, \"wind\": 87.21604759710651, \"precipitation\": 13.96847689136137, \"condition\": \"snow\"}, {\"temperature\": 11.036706749946731, \"wind\": 33.86229598446234, \"precipitation\": 38.968294579117845, \"condition\": \"rain\"}, {\"temperature\": 0.8142265953456, \"wind\": 70.98507415296346, \"precipitation\": 19.273374312321256, \"condition\": \"drizzle\"}, {\"temperature\": 25.391354725358426, \"wind\": 68.9460480155243, \"precipitation\": 93.11546643206357, \"condition\": \"fog\"}, {\"temperature\": 27.7726958317102, \"wind\": 15.439482065514532, \"precipitation\": 5.293937143885552, \"condition\": \"sun\"}, {\"temperature\": 3.0547946822445873, \"wind\": 86.42755659056152, \"precipitation\": 2.624712873155066, \"condition\": \"rain\"}, {\"temperature\": 39.42369527658811, \"wind\": 47.39700920935881, \"precipitation\": 41.728060203985706, \"condition\": \"rain\"}, {\"temperature\": 31.616549252691705, \"wind\": 31.294073920356126, \"precipitation\": 61.66414511625905, \"condition\": \"snow\"}, {\"temperature\": 37.73472491414072, \"wind\": 56.11305268794269, \"precipitation\": 81.92111265208045, \"condition\": \"fog\"}, {\"temperature\": 29.412459474532355, \"wind\": 46.76189099995182, \"precipitation\": 32.17901910781431, \"condition\": \"snow\"}, {\"temperature\": -5.305474080741154, \"wind\": 16.51061166938045, \"precipitation\": 40.72674907868328, \"condition\": \"fog\"}, {\"temperature\": 28.248344335114005, \"wind\": 74.65204013977382, \"precipitation\": 8.992377726473755, \"condition\": \"drizzle\"}, {\"temperature\": 40.71245089747694, \"wind\": 60.52030820865206, \"precipitation\": 5.486289017174572, \"condition\": \"rain\"}, {\"temperature\": 1.2855687063133647, \"wind\": 47.74453362846665, \"precipitation\": 77.71039918592594, \"condition\": \"drizzle\"}, {\"temperature\": 13.997864573343104, \"wind\": 99.2063323267444, \"precipitation\": 14.897152160823302, \"condition\": \"drizzle\"}, {\"temperature\": 18.825549046465813, \"wind\": 96.7516586164724, \"precipitation\": 62.15480712924485, \"condition\": \"rain\"}, {\"temperature\": 17.102600135203243, \"wind\": 95.33201102579268, \"precipitation\": 1.76947633335095, \"condition\": \"rain\"}, {\"temperature\": 31.603226292108516, \"wind\": 80.1260277875885, \"precipitation\": 19.250819441340848, \"condition\": \"drizzle\"}, {\"temperature\": 7.272202684808242, \"wind\": 8.416568701596594, \"precipitation\": 24.486546883662086, \"condition\": \"drizzle\"}, {\"temperature\": 6.42450547762995, \"wind\": 39.273237823513206, \"precipitation\": 59.175511527387584, \"condition\": \"sun\"}, {\"temperature\": 0.37651709537109035, \"wind\": 94.77902759827063, \"precipitation\": 28.64474524803353, \"condition\": \"fog\"}, {\"temperature\": 29.418237348870328, \"wind\": 73.1637224142291, \"precipitation\": 36.384371127988594, \"condition\": \"fog\"}, {\"temperature\": 32.58410407316762, \"wind\": 23.572673866731876, \"precipitation\": 21.78686177609982, \"condition\": \"sun\"}, {\"temperature\": 40.58331555194774, \"wind\": 12.46579946692835, \"precipitation\": 33.052715046353775, \"condition\": \"fog\"}, {\"temperature\": 15.02270799243955, \"wind\": 23.521353082533057, \"precipitation\": 0.5866372551906918, \"condition\": \"rain\"}, {\"temperature\": -1.5856356202583797, \"wind\": 58.706439422107415, \"precipitation\": 23.69625533115679, \"condition\": \"fog\"}, {\"temperature\": 39.83846166807995, \"wind\": 7.925060993257304, \"precipitation\": 73.27745598517468, \"condition\": \"snow\"}, {\"temperature\": 30.25106478610541, \"wind\": 53.60474576386106, \"precipitation\": 76.63592895791527, \"condition\": \"sun\"}, {\"temperature\": 12.08528607254729, \"wind\": 11.679210728025568, \"precipitation\": 21.30987094861694, \"condition\": \"drizzle\"}, {\"temperature\": 20.103305307522167, \"wind\": 35.51132614216856, \"precipitation\": 99.11641742479553, \"condition\": \"snow\"}, {\"temperature\": 34.61293495454381, \"wind\": 16.44814913694985, \"precipitation\": 76.5788070641912, \"condition\": \"sun\"}, {\"temperature\": 5.3304368864748515, \"wind\": 11.488543420187414, \"precipitation\": 23.611522242446682, \"condition\": \"rain\"}, {\"temperature\": 10.624231316087673, \"wind\": 89.57677208906625, \"precipitation\": 17.901521820239154, \"condition\": \"rain\"}, {\"temperature\": 16.45869339879156, \"wind\": 82.14358903068431, \"precipitation\": 50.5274648107178, \"condition\": \"drizzle\"}, {\"temperature\": 30.4859555666389, \"wind\": 85.43429025210673, \"precipitation\": 99.7314407177562, \"condition\": \"sun\"}, {\"temperature\": -7.842697704519862, \"wind\": 20.10431994181, \"precipitation\": 8.499755604198123, \"condition\": \"drizzle\"}, {\"temperature\": 23.82197430970396, \"wind\": 30.71236264475776, \"precipitation\": 91.23232368725205, \"condition\": \"snow\"}, {\"temperature\": 43.63862559514364, \"wind\": 28.821660476932877, \"precipitation\": 99.71103207097889, \"condition\": \"fog\"}, {\"temperature\": 8.981532662882305, \"wind\": 35.921027372850865, \"precipitation\": 91.12082810014113, \"condition\": \"fog\"}, {\"temperature\": 26.077729266653087, \"wind\": 63.53612288999908, \"precipitation\": 90.09748712912719, \"condition\": \"sun\"}, {\"temperature\": 38.44181274295784, \"wind\": 71.99143401846956, \"precipitation\": 21.221688878355216, \"condition\": \"rain\"}, {\"temperature\": 34.78710550916185, \"wind\": 89.27467266301889, \"precipitation\": 41.1955282025937, \"condition\": \"sun\"}, {\"temperature\": -5.848035132361012, \"wind\": 57.23792962073, \"precipitation\": 64.23162970775795, \"condition\": \"rain\"}, {\"temperature\": 0.6933169720006127, \"wind\": 72.76756692493736, \"precipitation\": 62.223235261304524, \"condition\": \"drizzle\"}]}}, {\"mode\": \"vega-lite\"});\n</script>",
+      "text/plain": "alt.Chart(...)"
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "base = alt.Chart(df)\n",
+    "bar = base.mark_bar().encode(\n",
+    "    x=alt.X(field='temperature', \n",
+    "            type='quantitative',\n",
+    "            bin=alt.Bin(maxbins=10),\n",
+    "            scale=alt.Scale(type='linear')),\n",
+    "    y=alt.Y(field='temperature', \n",
+    "            type='quantitative', \n",
+    "            aggregate='count', \n",
+    "            scale=alt.Scale(type='linear', zero=True))\n",
+    ")\n",
+    "display_chart(bar)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Scatterplot"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 57,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "{'field': [{'name': 'temperature', 'type': 'number'},\n",
+      "           {'name': 'wind', 'type': 'number'}],\n",
+      " 'number_rows': 100,\n",
+      " 'view': [{'mark': [{'encoding': [{'channel': 'x', 'field': 'temperature'},\n",
+      "                                  {'channel': 'y', 'field': 'wind'}],\n",
+      "                     'type': 'point'}],\n",
+      "           'scale': [{'channel': 'x', 'type': 'linear'},\n",
+      "                     {'channel': 'y', 'type': 'linear'}]}]}\n"
+     ]
+    }
+   ],
+   "source": [
+    "facts = ['attribute(number_rows,root,100).',\n",
+    " 'entity(field,root,temperature).',\n",
+    " 'attribute((field,name),temperature,temperature).',\n",
+    " 'attribute((field,type),temperature,number).',\n",
+    " 'entity(field,root,wind).',\n",
+    " 'attribute((field,name),wind,wind).',\n",
+    " 'attribute((field,type),wind,number).',\n",
+    " 'entity(view,root,0).',\n",
+    " 'entity(mark,0,1).',\n",
+    " 'attribute((mark,type),1,point).',\n",
+    " 'entity(encoding,1,2).',\n",
+    " 'attribute((encoding,channel),2,x).',\n",
+    " 'attribute((encoding,field),2,temperature).',\n",
+    " 'entity(encoding,1,3).',\n",
+    " 'attribute((encoding,channel),3,y).',\n",
+    " 'attribute((encoding,field),3,wind).',\n",
+    " 'entity(scale,0,4).',\n",
+    " 'attribute((scale,channel),4,x).',\n",
+    " 'attribute((scale,type),4,linear).',\n",
+    " 'entity(scale,0,5).',\n",
+    " 'attribute((scale,channel),5,y).',\n",
+    " 'attribute((scale,type),5,linear).']\n",
+    "spec = facts_to_dict(facts)\n",
+    "pprint(spec)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 58,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "{'$schema': 'https://vega.github.io/schema/vega-lite/v4.17.0.json',\n",
+      " 'config': {'view': {'continuousHeight': 300, 'continuousWidth': 400}},\n",
+      " 'encoding': {'x': {'field': 'temperature',\n",
+      "                    'scale': {'type': 'linear'},\n",
+      "                    'type': 'quantitative'},\n",
+      "              'y': {'field': 'wind',\n",
+      "                    'scale': {'type': 'linear'},\n",
+      "                    'type': 'quantitative'}},\n",
+      " 'mark': 'point'}\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": "\n<div id=\"altair-viz-c6b7fc4607064079af01d144e5b04f76\"></div>\n<script type=\"text/javascript\">\n  var VEGA_DEBUG = (typeof VEGA_DEBUG == \"undefined\") ? {} : VEGA_DEBUG;\n  (function(spec, embedOpt){\n    let outputDiv = document.currentScript.previousElementSibling;\n    if (outputDiv.id !== \"altair-viz-c6b7fc4607064079af01d144e5b04f76\") {\n      outputDiv = document.getElementById(\"altair-viz-c6b7fc4607064079af01d144e5b04f76\");\n    }\n    const paths = {\n      \"vega\": \"https://cdn.jsdelivr.net/npm//vega@5?noext\",\n      \"vega-lib\": \"https://cdn.jsdelivr.net/npm//vega-lib?noext\",\n      \"vega-lite\": \"https://cdn.jsdelivr.net/npm//vega-lite@4.17.0?noext\",\n      \"vega-embed\": \"https://cdn.jsdelivr.net/npm//vega-embed@6?noext\",\n    };\n\n    function maybeLoadScript(lib, version) {\n      var key = `${lib.replace(\"-\", \"\")}_version`;\n      return (VEGA_DEBUG[key] == version) ?\n        Promise.resolve(paths[lib]) :\n        new Promise(function(resolve, reject) {\n          var s = document.createElement('script');\n          document.getElementsByTagName(\"head\")[0].appendChild(s);\n          s.async = true;\n          s.onload = () => {\n            VEGA_DEBUG[key] = version;\n            return resolve(paths[lib]);\n          };\n          s.onerror = () => reject(`Error loading script: ${paths[lib]}`);\n          s.src = paths[lib];\n        });\n    }\n\n    function showError(err) {\n      outputDiv.innerHTML = `<div class=\"error\" style=\"color:red;\">${err}</div>`;\n      throw err;\n    }\n\n    function displayChart(vegaEmbed) {\n      vegaEmbed(outputDiv, spec, embedOpt)\n        .catch(err => showError(`Javascript Error: ${err.message}<br>This usually means there's a typo in your chart specification. See the javascript console for the full traceback.`));\n    }\n\n    if(typeof define === \"function\" && define.amd) {\n      requirejs.config({paths});\n      require([\"vega-embed\"], displayChart, err => showError(`Error loading script: ${err.message}`));\n    } else {\n      maybeLoadScript(\"vega\", \"5\")\n        .then(() => maybeLoadScript(\"vega-lite\", \"4.17.0\"))\n        .then(() => maybeLoadScript(\"vega-embed\", \"6\"))\n        .catch(showError)\n        .then(() => displayChart(vegaEmbed));\n    }\n  })({\"config\": {\"view\": {\"continuousWidth\": 400, \"continuousHeight\": 300}}, \"data\": {\"name\": \"data-80b0e930866eee6a77413fd6e0890a78\"}, \"mark\": \"point\", \"encoding\": {\"x\": {\"field\": \"temperature\", \"scale\": {\"type\": \"linear\"}, \"type\": \"quantitative\"}, \"y\": {\"field\": \"wind\", \"scale\": {\"type\": \"linear\"}, \"type\": \"quantitative\"}}, \"$schema\": \"https://vega.github.io/schema/vega-lite/v4.17.0.json\", \"datasets\": {\"data-80b0e930866eee6a77413fd6e0890a78\": [{\"temperature\": 39.357871877508494, \"wind\": 11.562263885182233, \"precipitation\": 88.42051387921796, \"condition\": \"fog\"}, {\"temperature\": -5.947154608637572, \"wind\": 86.90701738497849, \"precipitation\": 70.55832915444152, \"condition\": \"rain\"}, {\"temperature\": 32.82765627853655, \"wind\": 97.65897402212389, \"precipitation\": 82.65511533530304, \"condition\": \"sun\"}, {\"temperature\": 17.525999106231197, \"wind\": 65.52797477069528, \"precipitation\": 53.86256526101837, \"condition\": \"snow\"}, {\"temperature\": -6.80882656934652, \"wind\": 37.03429394195952, \"precipitation\": 93.86525481254682, \"condition\": \"drizzle\"}, {\"temperature\": 42.35997285539091, \"wind\": 72.00671240950793, \"precipitation\": 40.6587905336316, \"condition\": \"sun\"}, {\"temperature\": 12.236046428620227, \"wind\": 24.35537864304579, \"precipitation\": 83.89080965364893, \"condition\": \"sun\"}, {\"temperature\": 42.8103257781665, \"wind\": 29.81101459268268, \"precipitation\": 71.55020159752638, \"condition\": \"sun\"}, {\"temperature\": 22.54392113778252, \"wind\": 96.88264927669367, \"precipitation\": 57.21207145158276, \"condition\": \"rain\"}, {\"temperature\": 22.503608231529917, \"wind\": 73.45718441223443, \"precipitation\": 18.48099480479052, \"condition\": \"fog\"}, {\"temperature\": 20.697023061259923, \"wind\": 78.8085781529467, \"precipitation\": 82.06153728611223, \"condition\": \"drizzle\"}, {\"temperature\": 25.290109397291054, \"wind\": 80.30649374788099, \"precipitation\": 22.36608661432985, \"condition\": \"sun\"}, {\"temperature\": 38.2799313550365, \"wind\": 67.47085587574028, \"precipitation\": 20.740111999310816, \"condition\": \"snow\"}, {\"temperature\": 3.6725463468113624, \"wind\": 1.0115541087158841, \"precipitation\": 18.15771285571497, \"condition\": \"fog\"}, {\"temperature\": 43.05607594953013, \"wind\": 60.68482719845524, \"precipitation\": 57.77089873340201, \"condition\": \"drizzle\"}, {\"temperature\": 32.26702695541979, \"wind\": 51.25287908408247, \"precipitation\": 82.37499650298116, \"condition\": \"sun\"}, {\"temperature\": 20.65470025342109, \"wind\": 17.357994382399223, \"precipitation\": 61.85803419037972, \"condition\": \"snow\"}, {\"temperature\": 7.591958649416281, \"wind\": 56.87567133218157, \"precipitation\": 63.83705679953054, \"condition\": \"drizzle\"}, {\"temperature\": 34.12588295742098, \"wind\": 53.49706318356736, \"precipitation\": 39.89871505509641, \"condition\": \"drizzle\"}, {\"temperature\": 43.35047614485006, \"wind\": 25.611854852857896, \"precipitation\": 80.36992353488051, \"condition\": \"sun\"}, {\"temperature\": -0.6670916465821719, \"wind\": 85.48944217634627, \"precipitation\": 74.19603252504737, \"condition\": \"fog\"}, {\"temperature\": 27.71533514546813, \"wind\": 92.40258299219964, \"precipitation\": 35.46329445299181, \"condition\": \"sun\"}, {\"temperature\": 42.990310063528334, \"wind\": 4.767210553938305, \"precipitation\": 78.84896594785124, \"condition\": \"drizzle\"}, {\"temperature\": 12.78024257419457, \"wind\": 70.42789298007587, \"precipitation\": 32.19857853159736, \"condition\": \"rain\"}, {\"temperature\": 12.345464511586698, \"wind\": 96.37504245663669, \"precipitation\": 58.32326475918834, \"condition\": \"drizzle\"}, {\"temperature\": 16.615985139736694, \"wind\": 79.42654814203834, \"precipitation\": 13.002687080260278, \"condition\": \"drizzle\"}, {\"temperature\": 37.42489242698708, \"wind\": 61.345695045120095, \"precipitation\": 43.77564041090408, \"condition\": \"rain\"}, {\"temperature\": 4.4803758908315565, \"wind\": 49.77522034422004, \"precipitation\": 50.69600709811043, \"condition\": \"drizzle\"}, {\"temperature\": 24.097652039323982, \"wind\": 8.979384326640405, \"precipitation\": 30.641954593528485, \"condition\": \"sun\"}, {\"temperature\": -5.322217743871135, \"wind\": 61.189346843944705, \"precipitation\": 31.593229557269186, \"condition\": \"snow\"}, {\"temperature\": 9.656575236136984, \"wind\": 2.1373906951494104, \"precipitation\": 57.5465193225844, \"condition\": \"rain\"}, {\"temperature\": 23.09003214094531, \"wind\": 16.8504340533028, \"precipitation\": 49.38199137777561, \"condition\": \"snow\"}, {\"temperature\": -0.8910674950475652, \"wind\": 67.4372389241753, \"precipitation\": 44.01373586297284, \"condition\": \"drizzle\"}, {\"temperature\": 38.77628981797657, \"wind\": 19.349109733319814, \"precipitation\": 18.478064234157422, \"condition\": \"snow\"}, {\"temperature\": 3.4205075380082093, \"wind\": 27.407919047755026, \"precipitation\": 32.84745237938085, \"condition\": \"fog\"}, {\"temperature\": -5.033320662096024, \"wind\": 94.25698462447689, \"precipitation\": 43.460229120490254, \"condition\": \"fog\"}, {\"temperature\": -9.971237977814939, \"wind\": 93.98073112476098, \"precipitation\": 74.78247080628827, \"condition\": \"sun\"}, {\"temperature\": 14.882883965973484, \"wind\": 24.785612027523594, \"precipitation\": 51.19773747140527, \"condition\": \"drizzle\"}, {\"temperature\": 14.018034425277474, \"wind\": 91.62717881393021, \"precipitation\": 99.49522416477019, \"condition\": \"sun\"}, {\"temperature\": 31.305982604448104, \"wind\": 40.90373869893349, \"precipitation\": 74.89298496286528, \"condition\": \"rain\"}, {\"temperature\": 30.610723278623702, \"wind\": 42.06017669565571, \"precipitation\": 69.67703870061514, \"condition\": \"snow\"}, {\"temperature\": 34.74664418075527, \"wind\": 38.58462817605697, \"precipitation\": 67.82787083848606, \"condition\": \"sun\"}, {\"temperature\": 8.120514857460222, \"wind\": 98.79896637292207, \"precipitation\": 21.126567495900296, \"condition\": \"drizzle\"}, {\"temperature\": 21.830015183550092, \"wind\": 22.1211872838582, \"precipitation\": 79.23266981302642, \"condition\": \"fog\"}, {\"temperature\": 37.98236222048335, \"wind\": 3.9308035344873593, \"precipitation\": 14.592671850934291, \"condition\": \"rain\"}, {\"temperature\": 25.958872120055887, \"wind\": 30.880613774748145, \"precipitation\": 81.56963648865039, \"condition\": \"rain\"}, {\"temperature\": 35.17236224867325, \"wind\": 31.08177020391971, \"precipitation\": 24.18647666653794, \"condition\": \"rain\"}, {\"temperature\": 33.364342578760876, \"wind\": 2.9246595809319653, \"precipitation\": 12.15848602978733, \"condition\": \"fog\"}, {\"temperature\": -3.5902835942627487, \"wind\": 86.99227504041556, \"precipitation\": 2.3639517923128017, \"condition\": \"drizzle\"}, {\"temperature\": 43.53091004081406, \"wind\": 70.60869224087214, \"precipitation\": 66.94726954818158, \"condition\": \"rain\"}, {\"temperature\": 1.8337888199719252, \"wind\": 75.06866321814911, \"precipitation\": 53.6891397098117, \"condition\": \"sun\"}, {\"temperature\": 43.47830583880354, \"wind\": 71.68689230524836, \"precipitation\": 31.73117090776013, \"condition\": \"sun\"}, {\"temperature\": 24.70816388894937, \"wind\": 68.30107169120795, \"precipitation\": 20.50225020747416, \"condition\": \"snow\"}, {\"temperature\": 16.05118379980134, \"wind\": 52.99782792799144, \"precipitation\": 11.69028728553364, \"condition\": \"fog\"}, {\"temperature\": 28.077076050276126, \"wind\": 24.843732657120764, \"precipitation\": 7.7565838958533195, \"condition\": \"fog\"}, {\"temperature\": 26.313211105376084, \"wind\": 45.03333651941402, \"precipitation\": 31.41227095201218, \"condition\": \"fog\"}, {\"temperature\": 25.47932407524442, \"wind\": 87.21604759710651, \"precipitation\": 13.96847689136137, \"condition\": \"snow\"}, {\"temperature\": 11.036706749946731, \"wind\": 33.86229598446234, \"precipitation\": 38.968294579117845, \"condition\": \"rain\"}, {\"temperature\": 0.8142265953456, \"wind\": 70.98507415296346, \"precipitation\": 19.273374312321256, \"condition\": \"drizzle\"}, {\"temperature\": 25.391354725358426, \"wind\": 68.9460480155243, \"precipitation\": 93.11546643206357, \"condition\": \"fog\"}, {\"temperature\": 27.7726958317102, \"wind\": 15.439482065514532, \"precipitation\": 5.293937143885552, \"condition\": \"sun\"}, {\"temperature\": 3.0547946822445873, \"wind\": 86.42755659056152, \"precipitation\": 2.624712873155066, \"condition\": \"rain\"}, {\"temperature\": 39.42369527658811, \"wind\": 47.39700920935881, \"precipitation\": 41.728060203985706, \"condition\": \"rain\"}, {\"temperature\": 31.616549252691705, \"wind\": 31.294073920356126, \"precipitation\": 61.66414511625905, \"condition\": \"snow\"}, {\"temperature\": 37.73472491414072, \"wind\": 56.11305268794269, \"precipitation\": 81.92111265208045, \"condition\": \"fog\"}, {\"temperature\": 29.412459474532355, \"wind\": 46.76189099995182, \"precipitation\": 32.17901910781431, \"condition\": \"snow\"}, {\"temperature\": -5.305474080741154, \"wind\": 16.51061166938045, \"precipitation\": 40.72674907868328, \"condition\": \"fog\"}, {\"temperature\": 28.248344335114005, \"wind\": 74.65204013977382, \"precipitation\": 8.992377726473755, \"condition\": \"drizzle\"}, {\"temperature\": 40.71245089747694, \"wind\": 60.52030820865206, \"precipitation\": 5.486289017174572, \"condition\": \"rain\"}, {\"temperature\": 1.2855687063133647, \"wind\": 47.74453362846665, \"precipitation\": 77.71039918592594, \"condition\": \"drizzle\"}, {\"temperature\": 13.997864573343104, \"wind\": 99.2063323267444, \"precipitation\": 14.897152160823302, \"condition\": \"drizzle\"}, {\"temperature\": 18.825549046465813, \"wind\": 96.7516586164724, \"precipitation\": 62.15480712924485, \"condition\": \"rain\"}, {\"temperature\": 17.102600135203243, \"wind\": 95.33201102579268, \"precipitation\": 1.76947633335095, \"condition\": \"rain\"}, {\"temperature\": 31.603226292108516, \"wind\": 80.1260277875885, \"precipitation\": 19.250819441340848, \"condition\": \"drizzle\"}, {\"temperature\": 7.272202684808242, \"wind\": 8.416568701596594, \"precipitation\": 24.486546883662086, \"condition\": \"drizzle\"}, {\"temperature\": 6.42450547762995, \"wind\": 39.273237823513206, \"precipitation\": 59.175511527387584, \"condition\": \"sun\"}, {\"temperature\": 0.37651709537109035, \"wind\": 94.77902759827063, \"precipitation\": 28.64474524803353, \"condition\": \"fog\"}, {\"temperature\": 29.418237348870328, \"wind\": 73.1637224142291, \"precipitation\": 36.384371127988594, \"condition\": \"fog\"}, {\"temperature\": 32.58410407316762, \"wind\": 23.572673866731876, \"precipitation\": 21.78686177609982, \"condition\": \"sun\"}, {\"temperature\": 40.58331555194774, \"wind\": 12.46579946692835, \"precipitation\": 33.052715046353775, \"condition\": \"fog\"}, {\"temperature\": 15.02270799243955, \"wind\": 23.521353082533057, \"precipitation\": 0.5866372551906918, \"condition\": \"rain\"}, {\"temperature\": -1.5856356202583797, \"wind\": 58.706439422107415, \"precipitation\": 23.69625533115679, \"condition\": \"fog\"}, {\"temperature\": 39.83846166807995, \"wind\": 7.925060993257304, \"precipitation\": 73.27745598517468, \"condition\": \"snow\"}, {\"temperature\": 30.25106478610541, \"wind\": 53.60474576386106, \"precipitation\": 76.63592895791527, \"condition\": \"sun\"}, {\"temperature\": 12.08528607254729, \"wind\": 11.679210728025568, \"precipitation\": 21.30987094861694, \"condition\": \"drizzle\"}, {\"temperature\": 20.103305307522167, \"wind\": 35.51132614216856, \"precipitation\": 99.11641742479553, \"condition\": \"snow\"}, {\"temperature\": 34.61293495454381, \"wind\": 16.44814913694985, \"precipitation\": 76.5788070641912, \"condition\": \"sun\"}, {\"temperature\": 5.3304368864748515, \"wind\": 11.488543420187414, \"precipitation\": 23.611522242446682, \"condition\": \"rain\"}, {\"temperature\": 10.624231316087673, \"wind\": 89.57677208906625, \"precipitation\": 17.901521820239154, \"condition\": \"rain\"}, {\"temperature\": 16.45869339879156, \"wind\": 82.14358903068431, \"precipitation\": 50.5274648107178, \"condition\": \"drizzle\"}, {\"temperature\": 30.4859555666389, \"wind\": 85.43429025210673, \"precipitation\": 99.7314407177562, \"condition\": \"sun\"}, {\"temperature\": -7.842697704519862, \"wind\": 20.10431994181, \"precipitation\": 8.499755604198123, \"condition\": \"drizzle\"}, {\"temperature\": 23.82197430970396, \"wind\": 30.71236264475776, \"precipitation\": 91.23232368725205, \"condition\": \"snow\"}, {\"temperature\": 43.63862559514364, \"wind\": 28.821660476932877, \"precipitation\": 99.71103207097889, \"condition\": \"fog\"}, {\"temperature\": 8.981532662882305, \"wind\": 35.921027372850865, \"precipitation\": 91.12082810014113, \"condition\": \"fog\"}, {\"temperature\": 26.077729266653087, \"wind\": 63.53612288999908, \"precipitation\": 90.09748712912719, \"condition\": \"sun\"}, {\"temperature\": 38.44181274295784, \"wind\": 71.99143401846956, \"precipitation\": 21.221688878355216, \"condition\": \"rain\"}, {\"temperature\": 34.78710550916185, \"wind\": 89.27467266301889, \"precipitation\": 41.1955282025937, \"condition\": \"sun\"}, {\"temperature\": -5.848035132361012, \"wind\": 57.23792962073, \"precipitation\": 64.23162970775795, \"condition\": \"rain\"}, {\"temperature\": 0.6933169720006127, \"wind\": 72.76756692493736, \"precipitation\": 62.223235261304524, \"condition\": \"drizzle\"}]}}, {\"mode\": \"vega-lite\"});\n</script>",
+      "text/plain": "alt.Chart(...)"
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "base = alt.Chart(df)\n",
+    "point = base.mark_point().encode(\n",
+    "    x=alt.X(field='temperature', \n",
+    "            type='quantitative', \n",
+    "            scale=alt.Scale(type='linear')),\n",
+    "    y=alt.Y(field='wind',\n",
+    "            type='quantitative', \n",
+    "            scale=alt.Scale(type='linear')),\n",
+    ")\n",
+    "display_chart(point)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Scatterplot with Color"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 59,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "{'field': [{'name': 'temperature', 'type': 'number'},\n",
+      "           {'name': 'wind', 'type': 'number'},\n",
+      "           {'name': 'condition', 'type': 'string'}],\n",
+      " 'number_rows': 100,\n",
+      " 'view': [{'mark': [{'encoding': [{'channel': 'x', 'field': 'temperature'},\n",
+      "                                  {'channel': 'y', 'field': 'wind'},\n",
+      "                                  {'channel': 'color', 'field': 'condition'}],\n",
+      "                     'type': 'point'}],\n",
+      "           'scale': [{'channel': 'x', 'type': 'linear'},\n",
+      "                     {'channel': 'y', 'type': 'linear'},\n",
+      "                     {'channel': 'color', 'type': 'categorical'}]}]}\n"
+     ]
+    }
+   ],
+   "source": [
+    "facts = ['attribute(number_rows,root,100).',\n",
+    " 'entity(field,root,temperature).',\n",
+    " 'attribute((field,name),temperature,temperature).',\n",
+    " 'attribute((field,type),temperature,number).',\n",
+    " 'entity(field,root,wind).',\n",
+    " 'attribute((field,name),wind,wind).',\n",
+    " 'attribute((field,type),wind,number).',\n",
+    " 'entity(field,root,condition).',\n",
+    " 'attribute((field,name),condition,condition).',\n",
+    " 'attribute((field,type),condition,string).',\n",
+    " 'entity(view,root,0).',\n",
+    " 'entity(mark,0,1).',\n",
+    " 'attribute((mark,type),1,point).',\n",
+    " 'entity(encoding,1,2).',\n",
+    " 'attribute((encoding,channel),2,x).',\n",
+    " 'attribute((encoding,field),2,temperature).',\n",
+    " 'entity(encoding,1,3).',\n",
+    " 'attribute((encoding,channel),3,y).',\n",
+    " 'attribute((encoding,field),3,wind).',\n",
+    " 'entity(encoding,1,4).',\n",
+    " 'attribute((encoding,channel),4,color).',\n",
+    " 'attribute((encoding,field),4,condition).',\n",
+    " 'entity(scale,0,5).',\n",
+    " 'attribute((scale,channel),5,x).',\n",
+    " 'attribute((scale,type),5,linear).',\n",
+    " 'entity(scale,0,6).',\n",
+    " 'attribute((scale,channel),6,y).',\n",
+    " 'attribute((scale,type),6,linear).',\n",
+    " 'entity(scale,0,7).',\n",
+    " 'attribute((scale,channel),7,color).',\n",
+    " 'attribute((scale,type),7,categorical).']\n",
+    "spec = facts_to_dict(facts)\n",
+    "pprint(spec)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 60,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "{'$schema': 'https://vega.github.io/schema/vega-lite/v4.17.0.json',\n",
+      " 'config': {'view': {'continuousHeight': 300, 'continuousWidth': 400}},\n",
+      " 'encoding': {'color': {'field': 'condition',\n",
+      "                        'scale': {'type': 'ordinal'},\n",
+      "                        'type': 'nominal'},\n",
+      "              'x': {'field': 'temperature',\n",
+      "                    'scale': {'type': 'linear'},\n",
+      "                    'type': 'quantitative'},\n",
+      "              'y': {'field': 'wind',\n",
+      "                    'scale': {'type': 'linear'},\n",
+      "                    'type': 'quantitative'}},\n",
+      " 'mark': 'point'}\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": "\n<div id=\"altair-viz-e59c6e5ea11b460681729b72d427b5b0\"></div>\n<script type=\"text/javascript\">\n  var VEGA_DEBUG = (typeof VEGA_DEBUG == \"undefined\") ? {} : VEGA_DEBUG;\n  (function(spec, embedOpt){\n    let outputDiv = document.currentScript.previousElementSibling;\n    if (outputDiv.id !== \"altair-viz-e59c6e5ea11b460681729b72d427b5b0\") {\n      outputDiv = document.getElementById(\"altair-viz-e59c6e5ea11b460681729b72d427b5b0\");\n    }\n    const paths = {\n      \"vega\": \"https://cdn.jsdelivr.net/npm//vega@5?noext\",\n      \"vega-lib\": \"https://cdn.jsdelivr.net/npm//vega-lib?noext\",\n      \"vega-lite\": \"https://cdn.jsdelivr.net/npm//vega-lite@4.17.0?noext\",\n      \"vega-embed\": \"https://cdn.jsdelivr.net/npm//vega-embed@6?noext\",\n    };\n\n    function maybeLoadScript(lib, version) {\n      var key = `${lib.replace(\"-\", \"\")}_version`;\n      return (VEGA_DEBUG[key] == version) ?\n        Promise.resolve(paths[lib]) :\n        new Promise(function(resolve, reject) {\n          var s = document.createElement('script');\n          document.getElementsByTagName(\"head\")[0].appendChild(s);\n          s.async = true;\n          s.onload = () => {\n            VEGA_DEBUG[key] = version;\n            return resolve(paths[lib]);\n          };\n          s.onerror = () => reject(`Error loading script: ${paths[lib]}`);\n          s.src = paths[lib];\n        });\n    }\n\n    function showError(err) {\n      outputDiv.innerHTML = `<div class=\"error\" style=\"color:red;\">${err}</div>`;\n      throw err;\n    }\n\n    function displayChart(vegaEmbed) {\n      vegaEmbed(outputDiv, spec, embedOpt)\n        .catch(err => showError(`Javascript Error: ${err.message}<br>This usually means there's a typo in your chart specification. See the javascript console for the full traceback.`));\n    }\n\n    if(typeof define === \"function\" && define.amd) {\n      requirejs.config({paths});\n      require([\"vega-embed\"], displayChart, err => showError(`Error loading script: ${err.message}`));\n    } else {\n      maybeLoadScript(\"vega\", \"5\")\n        .then(() => maybeLoadScript(\"vega-lite\", \"4.17.0\"))\n        .then(() => maybeLoadScript(\"vega-embed\", \"6\"))\n        .catch(showError)\n        .then(() => displayChart(vegaEmbed));\n    }\n  })({\"config\": {\"view\": {\"continuousWidth\": 400, \"continuousHeight\": 300}}, \"data\": {\"name\": \"data-80b0e930866eee6a77413fd6e0890a78\"}, \"mark\": \"point\", \"encoding\": {\"color\": {\"field\": \"condition\", \"scale\": {\"type\": \"ordinal\"}, \"type\": \"nominal\"}, \"x\": {\"field\": \"temperature\", \"scale\": {\"type\": \"linear\"}, \"type\": \"quantitative\"}, \"y\": {\"field\": \"wind\", \"scale\": {\"type\": \"linear\"}, \"type\": \"quantitative\"}}, \"$schema\": \"https://vega.github.io/schema/vega-lite/v4.17.0.json\", \"datasets\": {\"data-80b0e930866eee6a77413fd6e0890a78\": [{\"temperature\": 39.357871877508494, \"wind\": 11.562263885182233, \"precipitation\": 88.42051387921796, \"condition\": \"fog\"}, {\"temperature\": -5.947154608637572, \"wind\": 86.90701738497849, \"precipitation\": 70.55832915444152, \"condition\": \"rain\"}, {\"temperature\": 32.82765627853655, \"wind\": 97.65897402212389, \"precipitation\": 82.65511533530304, \"condition\": \"sun\"}, {\"temperature\": 17.525999106231197, \"wind\": 65.52797477069528, \"precipitation\": 53.86256526101837, \"condition\": \"snow\"}, {\"temperature\": -6.80882656934652, \"wind\": 37.03429394195952, \"precipitation\": 93.86525481254682, \"condition\": \"drizzle\"}, {\"temperature\": 42.35997285539091, \"wind\": 72.00671240950793, \"precipitation\": 40.6587905336316, \"condition\": \"sun\"}, {\"temperature\": 12.236046428620227, \"wind\": 24.35537864304579, \"precipitation\": 83.89080965364893, \"condition\": \"sun\"}, {\"temperature\": 42.8103257781665, \"wind\": 29.81101459268268, \"precipitation\": 71.55020159752638, \"condition\": \"sun\"}, {\"temperature\": 22.54392113778252, \"wind\": 96.88264927669367, \"precipitation\": 57.21207145158276, \"condition\": \"rain\"}, {\"temperature\": 22.503608231529917, \"wind\": 73.45718441223443, \"precipitation\": 18.48099480479052, \"condition\": \"fog\"}, {\"temperature\": 20.697023061259923, \"wind\": 78.8085781529467, \"precipitation\": 82.06153728611223, \"condition\": \"drizzle\"}, {\"temperature\": 25.290109397291054, \"wind\": 80.30649374788099, \"precipitation\": 22.36608661432985, \"condition\": \"sun\"}, {\"temperature\": 38.2799313550365, \"wind\": 67.47085587574028, \"precipitation\": 20.740111999310816, \"condition\": \"snow\"}, {\"temperature\": 3.6725463468113624, \"wind\": 1.0115541087158841, \"precipitation\": 18.15771285571497, \"condition\": \"fog\"}, {\"temperature\": 43.05607594953013, \"wind\": 60.68482719845524, \"precipitation\": 57.77089873340201, \"condition\": \"drizzle\"}, {\"temperature\": 32.26702695541979, \"wind\": 51.25287908408247, \"precipitation\": 82.37499650298116, \"condition\": \"sun\"}, {\"temperature\": 20.65470025342109, \"wind\": 17.357994382399223, \"precipitation\": 61.85803419037972, \"condition\": \"snow\"}, {\"temperature\": 7.591958649416281, \"wind\": 56.87567133218157, \"precipitation\": 63.83705679953054, \"condition\": \"drizzle\"}, {\"temperature\": 34.12588295742098, \"wind\": 53.49706318356736, \"precipitation\": 39.89871505509641, \"condition\": \"drizzle\"}, {\"temperature\": 43.35047614485006, \"wind\": 25.611854852857896, \"precipitation\": 80.36992353488051, \"condition\": \"sun\"}, {\"temperature\": -0.6670916465821719, \"wind\": 85.48944217634627, \"precipitation\": 74.19603252504737, \"condition\": \"fog\"}, {\"temperature\": 27.71533514546813, \"wind\": 92.40258299219964, \"precipitation\": 35.46329445299181, \"condition\": \"sun\"}, {\"temperature\": 42.990310063528334, \"wind\": 4.767210553938305, \"precipitation\": 78.84896594785124, \"condition\": \"drizzle\"}, {\"temperature\": 12.78024257419457, \"wind\": 70.42789298007587, \"precipitation\": 32.19857853159736, \"condition\": \"rain\"}, {\"temperature\": 12.345464511586698, \"wind\": 96.37504245663669, \"precipitation\": 58.32326475918834, \"condition\": \"drizzle\"}, {\"temperature\": 16.615985139736694, \"wind\": 79.42654814203834, \"precipitation\": 13.002687080260278, \"condition\": \"drizzle\"}, {\"temperature\": 37.42489242698708, \"wind\": 61.345695045120095, \"precipitation\": 43.77564041090408, \"condition\": \"rain\"}, {\"temperature\": 4.4803758908315565, \"wind\": 49.77522034422004, \"precipitation\": 50.69600709811043, \"condition\": \"drizzle\"}, {\"temperature\": 24.097652039323982, \"wind\": 8.979384326640405, \"precipitation\": 30.641954593528485, \"condition\": \"sun\"}, {\"temperature\": -5.322217743871135, \"wind\": 61.189346843944705, \"precipitation\": 31.593229557269186, \"condition\": \"snow\"}, {\"temperature\": 9.656575236136984, \"wind\": 2.1373906951494104, \"precipitation\": 57.5465193225844, \"condition\": \"rain\"}, {\"temperature\": 23.09003214094531, \"wind\": 16.8504340533028, \"precipitation\": 49.38199137777561, \"condition\": \"snow\"}, {\"temperature\": -0.8910674950475652, \"wind\": 67.4372389241753, \"precipitation\": 44.01373586297284, \"condition\": \"drizzle\"}, {\"temperature\": 38.77628981797657, \"wind\": 19.349109733319814, \"precipitation\": 18.478064234157422, \"condition\": \"snow\"}, {\"temperature\": 3.4205075380082093, \"wind\": 27.407919047755026, \"precipitation\": 32.84745237938085, \"condition\": \"fog\"}, {\"temperature\": -5.033320662096024, \"wind\": 94.25698462447689, \"precipitation\": 43.460229120490254, \"condition\": \"fog\"}, {\"temperature\": -9.971237977814939, \"wind\": 93.98073112476098, \"precipitation\": 74.78247080628827, \"condition\": \"sun\"}, {\"temperature\": 14.882883965973484, \"wind\": 24.785612027523594, \"precipitation\": 51.19773747140527, \"condition\": \"drizzle\"}, {\"temperature\": 14.018034425277474, \"wind\": 91.62717881393021, \"precipitation\": 99.49522416477019, \"condition\": \"sun\"}, {\"temperature\": 31.305982604448104, \"wind\": 40.90373869893349, \"precipitation\": 74.89298496286528, \"condition\": \"rain\"}, {\"temperature\": 30.610723278623702, \"wind\": 42.06017669565571, \"precipitation\": 69.67703870061514, \"condition\": \"snow\"}, {\"temperature\": 34.74664418075527, \"wind\": 38.58462817605697, \"precipitation\": 67.82787083848606, \"condition\": \"sun\"}, {\"temperature\": 8.120514857460222, \"wind\": 98.79896637292207, \"precipitation\": 21.126567495900296, \"condition\": \"drizzle\"}, {\"temperature\": 21.830015183550092, \"wind\": 22.1211872838582, \"precipitation\": 79.23266981302642, \"condition\": \"fog\"}, {\"temperature\": 37.98236222048335, \"wind\": 3.9308035344873593, \"precipitation\": 14.592671850934291, \"condition\": \"rain\"}, {\"temperature\": 25.958872120055887, \"wind\": 30.880613774748145, \"precipitation\": 81.56963648865039, \"condition\": \"rain\"}, {\"temperature\": 35.17236224867325, \"wind\": 31.08177020391971, \"precipitation\": 24.18647666653794, \"condition\": \"rain\"}, {\"temperature\": 33.364342578760876, \"wind\": 2.9246595809319653, \"precipitation\": 12.15848602978733, \"condition\": \"fog\"}, {\"temperature\": -3.5902835942627487, \"wind\": 86.99227504041556, \"precipitation\": 2.3639517923128017, \"condition\": \"drizzle\"}, {\"temperature\": 43.53091004081406, \"wind\": 70.60869224087214, \"precipitation\": 66.94726954818158, \"condition\": \"rain\"}, {\"temperature\": 1.8337888199719252, \"wind\": 75.06866321814911, \"precipitation\": 53.6891397098117, \"condition\": \"sun\"}, {\"temperature\": 43.47830583880354, \"wind\": 71.68689230524836, \"precipitation\": 31.73117090776013, \"condition\": \"sun\"}, {\"temperature\": 24.70816388894937, \"wind\": 68.30107169120795, \"precipitation\": 20.50225020747416, \"condition\": \"snow\"}, {\"temperature\": 16.05118379980134, \"wind\": 52.99782792799144, \"precipitation\": 11.69028728553364, \"condition\": \"fog\"}, {\"temperature\": 28.077076050276126, \"wind\": 24.843732657120764, \"precipitation\": 7.7565838958533195, \"condition\": \"fog\"}, {\"temperature\": 26.313211105376084, \"wind\": 45.03333651941402, \"precipitation\": 31.41227095201218, \"condition\": \"fog\"}, {\"temperature\": 25.47932407524442, \"wind\": 87.21604759710651, \"precipitation\": 13.96847689136137, \"condition\": \"snow\"}, {\"temperature\": 11.036706749946731, \"wind\": 33.86229598446234, \"precipitation\": 38.968294579117845, \"condition\": \"rain\"}, {\"temperature\": 0.8142265953456, \"wind\": 70.98507415296346, \"precipitation\": 19.273374312321256, \"condition\": \"drizzle\"}, {\"temperature\": 25.391354725358426, \"wind\": 68.9460480155243, \"precipitation\": 93.11546643206357, \"condition\": \"fog\"}, {\"temperature\": 27.7726958317102, \"wind\": 15.439482065514532, \"precipitation\": 5.293937143885552, \"condition\": \"sun\"}, {\"temperature\": 3.0547946822445873, \"wind\": 86.42755659056152, \"precipitation\": 2.624712873155066, \"condition\": \"rain\"}, {\"temperature\": 39.42369527658811, \"wind\": 47.39700920935881, \"precipitation\": 41.728060203985706, \"condition\": \"rain\"}, {\"temperature\": 31.616549252691705, \"wind\": 31.294073920356126, \"precipitation\": 61.66414511625905, \"condition\": \"snow\"}, {\"temperature\": 37.73472491414072, \"wind\": 56.11305268794269, \"precipitation\": 81.92111265208045, \"condition\": \"fog\"}, {\"temperature\": 29.412459474532355, \"wind\": 46.76189099995182, \"precipitation\": 32.17901910781431, \"condition\": \"snow\"}, {\"temperature\": -5.305474080741154, \"wind\": 16.51061166938045, \"precipitation\": 40.72674907868328, \"condition\": \"fog\"}, {\"temperature\": 28.248344335114005, \"wind\": 74.65204013977382, \"precipitation\": 8.992377726473755, \"condition\": \"drizzle\"}, {\"temperature\": 40.71245089747694, \"wind\": 60.52030820865206, \"precipitation\": 5.486289017174572, \"condition\": \"rain\"}, {\"temperature\": 1.2855687063133647, \"wind\": 47.74453362846665, \"precipitation\": 77.71039918592594, \"condition\": \"drizzle\"}, {\"temperature\": 13.997864573343104, \"wind\": 99.2063323267444, \"precipitation\": 14.897152160823302, \"condition\": \"drizzle\"}, {\"temperature\": 18.825549046465813, \"wind\": 96.7516586164724, \"precipitation\": 62.15480712924485, \"condition\": \"rain\"}, {\"temperature\": 17.102600135203243, \"wind\": 95.33201102579268, \"precipitation\": 1.76947633335095, \"condition\": \"rain\"}, {\"temperature\": 31.603226292108516, \"wind\": 80.1260277875885, \"precipitation\": 19.250819441340848, \"condition\": \"drizzle\"}, {\"temperature\": 7.272202684808242, \"wind\": 8.416568701596594, \"precipitation\": 24.486546883662086, \"condition\": \"drizzle\"}, {\"temperature\": 6.42450547762995, \"wind\": 39.273237823513206, \"precipitation\": 59.175511527387584, \"condition\": \"sun\"}, {\"temperature\": 0.37651709537109035, \"wind\": 94.77902759827063, \"precipitation\": 28.64474524803353, \"condition\": \"fog\"}, {\"temperature\": 29.418237348870328, \"wind\": 73.1637224142291, \"precipitation\": 36.384371127988594, \"condition\": \"fog\"}, {\"temperature\": 32.58410407316762, \"wind\": 23.572673866731876, \"precipitation\": 21.78686177609982, \"condition\": \"sun\"}, {\"temperature\": 40.58331555194774, \"wind\": 12.46579946692835, \"precipitation\": 33.052715046353775, \"condition\": \"fog\"}, {\"temperature\": 15.02270799243955, \"wind\": 23.521353082533057, \"precipitation\": 0.5866372551906918, \"condition\": \"rain\"}, {\"temperature\": -1.5856356202583797, \"wind\": 58.706439422107415, \"precipitation\": 23.69625533115679, \"condition\": \"fog\"}, {\"temperature\": 39.83846166807995, 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\"drizzle\"}, {\"temperature\": 30.4859555666389, \"wind\": 85.43429025210673, \"precipitation\": 99.7314407177562, \"condition\": \"sun\"}, {\"temperature\": -7.842697704519862, \"wind\": 20.10431994181, \"precipitation\": 8.499755604198123, \"condition\": \"drizzle\"}, {\"temperature\": 23.82197430970396, \"wind\": 30.71236264475776, \"precipitation\": 91.23232368725205, \"condition\": \"snow\"}, {\"temperature\": 43.63862559514364, \"wind\": 28.821660476932877, \"precipitation\": 99.71103207097889, \"condition\": \"fog\"}, {\"temperature\": 8.981532662882305, \"wind\": 35.921027372850865, \"precipitation\": 91.12082810014113, \"condition\": \"fog\"}, {\"temperature\": 26.077729266653087, \"wind\": 63.53612288999908, \"precipitation\": 90.09748712912719, \"condition\": \"sun\"}, {\"temperature\": 38.44181274295784, \"wind\": 71.99143401846956, \"precipitation\": 21.221688878355216, \"condition\": \"rain\"}, {\"temperature\": 34.78710550916185, \"wind\": 89.27467266301889, \"precipitation\": 41.1955282025937, \"condition\": \"sun\"}, {\"temperature\": -5.848035132361012, \"wind\": 57.23792962073, \"precipitation\": 64.23162970775795, \"condition\": \"rain\"}, {\"temperature\": 0.6933169720006127, \"wind\": 72.76756692493736, \"precipitation\": 62.223235261304524, \"condition\": \"drizzle\"}]}}, {\"mode\": \"vega-lite\"});\n</script>",
+      "text/plain": "alt.Chart(...)"
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "base = alt.Chart(df)\n",
+    "point = base.mark_point().encode(\n",
+    "    x=alt.X(field='temperature', \n",
+    "            type='quantitative', \n",
+    "            scale=alt.Scale(type='linear')),\n",
+    "    y=alt.Y(field='wind',\n",
+    "            type='quantitative', \n",
+    "            scale=alt.Scale(type='linear')),\n",
+    "    color=alt.Color(field='condition',\n",
+    "                    type='nominal',\n",
+    "                    scale=alt.Scale(type='ordinal'))\n",
+    ")\n",
+    "display_chart(point)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 61,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "{'field': [{'name': 'temperature', 'type': 'number'},\n",
+      "           {'name': 'wind', 'type': 'number'},\n",
+      "           {'name': 'precipitation', 'type': 'number'}],\n",
+      " 'number_rows': 100,\n",
+      " 'view': [{'mark': [{'encoding': [{'channel': 'x', 'field': 'temperature'},\n",
+      "                                  {'channel': 'y', 'field': 'wind'},\n",
+      "                                  {'channel': 'size',\n",
+      "                                   'field': 'precipitation'}],\n",
+      "                     'type': 'point'}],\n",
+      "           'scale': [{'channel': 'x', 'type': 'linear'},\n",
+      "                     {'channel': 'y', 'type': 'linear'},\n",
+      "                     {'channel': 'size', 'type': 'linear'}]}]}\n"
+     ]
+    }
+   ],
+   "source": [
+    "facts = ['attribute(number_rows,root,100).',\n",
+    " 'entity(field,root,temperature).',\n",
+    " 'attribute((field,name),temperature,temperature).',\n",
+    " 'attribute((field,type),temperature,number).',\n",
+    " 'entity(field,root,wind).',\n",
+    " 'attribute((field,name),wind,wind).',\n",
+    " 'attribute((field,type),wind,number).',\n",
+    " 'entity(field,root,precipitation).',\n",
+    " 'attribute((field,name),precipitation,precipitation).',\n",
+    " 'attribute((field,type),precipitation,number).',\n",
+    " 'entity(view,root,0).',\n",
+    " 'entity(mark,0,1).',\n",
+    " 'attribute((mark,type),1,point).',\n",
+    " 'entity(encoding,1,2).',\n",
+    " 'attribute((encoding,channel),2,x).',\n",
+    " 'attribute((encoding,field),2,temperature).',\n",
+    " 'entity(encoding,1,3).',\n",
+    " 'attribute((encoding,channel),3,y).',\n",
+    " 'attribute((encoding,field),3,wind).',\n",
+    " 'entity(encoding,1,4).',\n",
+    " 'attribute((encoding,channel),4,size).',\n",
+    " 'attribute((encoding,field),4,precipitation).',\n",
+    " 'entity(scale,0,5).',\n",
+    " 'attribute((scale,channel),5,x).',\n",
+    " 'attribute((scale,type),5,linear).',\n",
+    " 'entity(scale,0,6).',\n",
+    " 'attribute((scale,channel),6,y).',\n",
+    " 'attribute((scale,type),6,linear).',\n",
+    " 'entity(scale,0,7).',\n",
+    " 'attribute((scale,channel),7,size).',\n",
+    " 'attribute((scale,type),7,linear).']\n",
+    "spec = facts_to_dict(facts)\n",
+    "pprint(spec)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Bubble Chart"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 62,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "{'$schema': 'https://vega.github.io/schema/vega-lite/v4.17.0.json',\n",
+      " 'config': {'view': {'continuousHeight': 300, 'continuousWidth': 400}},\n",
+      " 'encoding': {'size': {'field': 'precipitation',\n",
+      "                       'scale': {'type': 'linear'},\n",
+      "                       'type': 'quantitative'},\n",
+      "              'x': {'field': 'temperature',\n",
+      "                    'scale': {'type': 'linear'},\n",
+      "                    'type': 'quantitative'},\n",
+      "              'y': {'field': 'wind',\n",
+      "                    'scale': {'type': 'linear'},\n",
+      "                    'type': 'quantitative'}},\n",
+      " 'mark': 'point'}\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": "\n<div id=\"altair-viz-452f1286f1944847831a7391de135d16\"></div>\n<script type=\"text/javascript\">\n  var VEGA_DEBUG = (typeof VEGA_DEBUG == \"undefined\") ? {} : VEGA_DEBUG;\n  (function(spec, embedOpt){\n    let outputDiv = document.currentScript.previousElementSibling;\n    if (outputDiv.id !== \"altair-viz-452f1286f1944847831a7391de135d16\") {\n      outputDiv = document.getElementById(\"altair-viz-452f1286f1944847831a7391de135d16\");\n    }\n    const paths = {\n      \"vega\": \"https://cdn.jsdelivr.net/npm//vega@5?noext\",\n      \"vega-lib\": \"https://cdn.jsdelivr.net/npm//vega-lib?noext\",\n      \"vega-lite\": \"https://cdn.jsdelivr.net/npm//vega-lite@4.17.0?noext\",\n      \"vega-embed\": \"https://cdn.jsdelivr.net/npm//vega-embed@6?noext\",\n    };\n\n    function maybeLoadScript(lib, version) {\n      var key = `${lib.replace(\"-\", \"\")}_version`;\n      return (VEGA_DEBUG[key] == version) ?\n        Promise.resolve(paths[lib]) :\n        new Promise(function(resolve, reject) {\n          var s = document.createElement('script');\n          document.getElementsByTagName(\"head\")[0].appendChild(s);\n          s.async = true;\n          s.onload = () => {\n            VEGA_DEBUG[key] = version;\n            return resolve(paths[lib]);\n          };\n          s.onerror = () => reject(`Error loading script: ${paths[lib]}`);\n          s.src = paths[lib];\n        });\n    }\n\n    function showError(err) {\n      outputDiv.innerHTML = `<div class=\"error\" style=\"color:red;\">${err}</div>`;\n      throw err;\n    }\n\n    function displayChart(vegaEmbed) {\n      vegaEmbed(outputDiv, spec, embedOpt)\n        .catch(err => showError(`Javascript Error: ${err.message}<br>This usually means there's a typo in your chart specification. See the javascript console for the full traceback.`));\n    }\n\n    if(typeof define === \"function\" && define.amd) {\n      requirejs.config({paths});\n      require([\"vega-embed\"], displayChart, err => showError(`Error loading script: ${err.message}`));\n    } else {\n      maybeLoadScript(\"vega\", \"5\")\n        .then(() => maybeLoadScript(\"vega-lite\", \"4.17.0\"))\n        .then(() => maybeLoadScript(\"vega-embed\", \"6\"))\n        .catch(showError)\n        .then(() => displayChart(vegaEmbed));\n    }\n  })({\"config\": {\"view\": {\"continuousWidth\": 400, \"continuousHeight\": 300}}, \"data\": {\"name\": \"data-80b0e930866eee6a77413fd6e0890a78\"}, \"mark\": \"point\", \"encoding\": {\"size\": {\"field\": \"precipitation\", \"scale\": {\"type\": \"linear\"}, \"type\": \"quantitative\"}, \"x\": {\"field\": \"temperature\", \"scale\": {\"type\": \"linear\"}, \"type\": \"quantitative\"}, \"y\": {\"field\": \"wind\", \"scale\": {\"type\": \"linear\"}, \"type\": \"quantitative\"}}, \"$schema\": \"https://vega.github.io/schema/vega-lite/v4.17.0.json\", \"datasets\": {\"data-80b0e930866eee6a77413fd6e0890a78\": [{\"temperature\": 39.357871877508494, \"wind\": 11.562263885182233, \"precipitation\": 88.42051387921796, \"condition\": \"fog\"}, {\"temperature\": -5.947154608637572, \"wind\": 86.90701738497849, \"precipitation\": 70.55832915444152, \"condition\": \"rain\"}, {\"temperature\": 32.82765627853655, \"wind\": 97.65897402212389, \"precipitation\": 82.65511533530304, \"condition\": \"sun\"}, {\"temperature\": 17.525999106231197, \"wind\": 65.52797477069528, \"precipitation\": 53.86256526101837, \"condition\": \"snow\"}, {\"temperature\": -6.80882656934652, \"wind\": 37.03429394195952, \"precipitation\": 93.86525481254682, \"condition\": \"drizzle\"}, {\"temperature\": 42.35997285539091, \"wind\": 72.00671240950793, \"precipitation\": 40.6587905336316, \"condition\": \"sun\"}, {\"temperature\": 12.236046428620227, \"wind\": 24.35537864304579, \"precipitation\": 83.89080965364893, \"condition\": \"sun\"}, {\"temperature\": 42.8103257781665, \"wind\": 29.81101459268268, \"precipitation\": 71.55020159752638, \"condition\": \"sun\"}, {\"temperature\": 22.54392113778252, \"wind\": 96.88264927669367, \"precipitation\": 57.21207145158276, \"condition\": \"rain\"}, {\"temperature\": 22.503608231529917, \"wind\": 73.45718441223443, \"precipitation\": 18.48099480479052, \"condition\": \"fog\"}, {\"temperature\": 20.697023061259923, \"wind\": 78.8085781529467, \"precipitation\": 82.06153728611223, \"condition\": \"drizzle\"}, {\"temperature\": 25.290109397291054, \"wind\": 80.30649374788099, \"precipitation\": 22.36608661432985, \"condition\": \"sun\"}, {\"temperature\": 38.2799313550365, \"wind\": 67.47085587574028, \"precipitation\": 20.740111999310816, \"condition\": \"snow\"}, {\"temperature\": 3.6725463468113624, \"wind\": 1.0115541087158841, \"precipitation\": 18.15771285571497, \"condition\": \"fog\"}, {\"temperature\": 43.05607594953013, \"wind\": 60.68482719845524, \"precipitation\": 57.77089873340201, \"condition\": \"drizzle\"}, {\"temperature\": 32.26702695541979, \"wind\": 51.25287908408247, \"precipitation\": 82.37499650298116, \"condition\": \"sun\"}, {\"temperature\": 20.65470025342109, \"wind\": 17.357994382399223, \"precipitation\": 61.85803419037972, \"condition\": \"snow\"}, {\"temperature\": 7.591958649416281, \"wind\": 56.87567133218157, \"precipitation\": 63.83705679953054, \"condition\": \"drizzle\"}, {\"temperature\": 34.12588295742098, \"wind\": 53.49706318356736, \"precipitation\": 39.89871505509641, \"condition\": \"drizzle\"}, {\"temperature\": 43.35047614485006, \"wind\": 25.611854852857896, \"precipitation\": 80.36992353488051, \"condition\": \"sun\"}, {\"temperature\": -0.6670916465821719, \"wind\": 85.48944217634627, \"precipitation\": 74.19603252504737, \"condition\": \"fog\"}, {\"temperature\": 27.71533514546813, \"wind\": 92.40258299219964, \"precipitation\": 35.46329445299181, \"condition\": \"sun\"}, {\"temperature\": 42.990310063528334, \"wind\": 4.767210553938305, \"precipitation\": 78.84896594785124, \"condition\": \"drizzle\"}, {\"temperature\": 12.78024257419457, \"wind\": 70.42789298007587, \"precipitation\": 32.19857853159736, \"condition\": \"rain\"}, {\"temperature\": 12.345464511586698, \"wind\": 96.37504245663669, \"precipitation\": 58.32326475918834, \"condition\": \"drizzle\"}, {\"temperature\": 16.615985139736694, \"wind\": 79.42654814203834, \"precipitation\": 13.002687080260278, \"condition\": \"drizzle\"}, {\"temperature\": 37.42489242698708, \"wind\": 61.345695045120095, \"precipitation\": 43.77564041090408, \"condition\": \"rain\"}, {\"temperature\": 4.4803758908315565, \"wind\": 49.77522034422004, \"precipitation\": 50.69600709811043, \"condition\": \"drizzle\"}, {\"temperature\": 24.097652039323982, \"wind\": 8.979384326640405, \"precipitation\": 30.641954593528485, \"condition\": \"sun\"}, {\"temperature\": -5.322217743871135, \"wind\": 61.189346843944705, \"precipitation\": 31.593229557269186, \"condition\": \"snow\"}, {\"temperature\": 9.656575236136984, \"wind\": 2.1373906951494104, \"precipitation\": 57.5465193225844, \"condition\": \"rain\"}, {\"temperature\": 23.09003214094531, \"wind\": 16.8504340533028, \"precipitation\": 49.38199137777561, \"condition\": \"snow\"}, {\"temperature\": -0.8910674950475652, \"wind\": 67.4372389241753, \"precipitation\": 44.01373586297284, \"condition\": \"drizzle\"}, {\"temperature\": 38.77628981797657, \"wind\": 19.349109733319814, \"precipitation\": 18.478064234157422, \"condition\": \"snow\"}, {\"temperature\": 3.4205075380082093, \"wind\": 27.407919047755026, \"precipitation\": 32.84745237938085, \"condition\": \"fog\"}, {\"temperature\": -5.033320662096024, \"wind\": 94.25698462447689, \"precipitation\": 43.460229120490254, \"condition\": \"fog\"}, {\"temperature\": -9.971237977814939, \"wind\": 93.98073112476098, \"precipitation\": 74.78247080628827, \"condition\": \"sun\"}, {\"temperature\": 14.882883965973484, \"wind\": 24.785612027523594, \"precipitation\": 51.19773747140527, \"condition\": \"drizzle\"}, {\"temperature\": 14.018034425277474, \"wind\": 91.62717881393021, \"precipitation\": 99.49522416477019, \"condition\": \"sun\"}, {\"temperature\": 31.305982604448104, \"wind\": 40.90373869893349, \"precipitation\": 74.89298496286528, \"condition\": \"rain\"}, {\"temperature\": 30.610723278623702, \"wind\": 42.06017669565571, \"precipitation\": 69.67703870061514, \"condition\": \"snow\"}, {\"temperature\": 34.74664418075527, \"wind\": 38.58462817605697, \"precipitation\": 67.82787083848606, \"condition\": \"sun\"}, {\"temperature\": 8.120514857460222, \"wind\": 98.79896637292207, \"precipitation\": 21.126567495900296, \"condition\": \"drizzle\"}, {\"temperature\": 21.830015183550092, \"wind\": 22.1211872838582, \"precipitation\": 79.23266981302642, \"condition\": \"fog\"}, {\"temperature\": 37.98236222048335, \"wind\": 3.9308035344873593, \"precipitation\": 14.592671850934291, \"condition\": \"rain\"}, {\"temperature\": 25.958872120055887, \"wind\": 30.880613774748145, \"precipitation\": 81.56963648865039, \"condition\": \"rain\"}, {\"temperature\": 35.17236224867325, \"wind\": 31.08177020391971, \"precipitation\": 24.18647666653794, \"condition\": \"rain\"}, {\"temperature\": 33.364342578760876, \"wind\": 2.9246595809319653, \"precipitation\": 12.15848602978733, \"condition\": \"fog\"}, {\"temperature\": -3.5902835942627487, \"wind\": 86.99227504041556, \"precipitation\": 2.3639517923128017, \"condition\": \"drizzle\"}, {\"temperature\": 43.53091004081406, \"wind\": 70.60869224087214, \"precipitation\": 66.94726954818158, \"condition\": \"rain\"}, {\"temperature\": 1.8337888199719252, \"wind\": 75.06866321814911, \"precipitation\": 53.6891397098117, \"condition\": \"sun\"}, {\"temperature\": 43.47830583880354, \"wind\": 71.68689230524836, \"precipitation\": 31.73117090776013, \"condition\": \"sun\"}, {\"temperature\": 24.70816388894937, \"wind\": 68.30107169120795, \"precipitation\": 20.50225020747416, \"condition\": \"snow\"}, {\"temperature\": 16.05118379980134, \"wind\": 52.99782792799144, \"precipitation\": 11.69028728553364, \"condition\": \"fog\"}, {\"temperature\": 28.077076050276126, \"wind\": 24.843732657120764, \"precipitation\": 7.7565838958533195, \"condition\": \"fog\"}, {\"temperature\": 26.313211105376084, \"wind\": 45.03333651941402, \"precipitation\": 31.41227095201218, \"condition\": \"fog\"}, {\"temperature\": 25.47932407524442, \"wind\": 87.21604759710651, \"precipitation\": 13.96847689136137, \"condition\": \"snow\"}, {\"temperature\": 11.036706749946731, \"wind\": 33.86229598446234, \"precipitation\": 38.968294579117845, \"condition\": \"rain\"}, {\"temperature\": 0.8142265953456, \"wind\": 70.98507415296346, \"precipitation\": 19.273374312321256, \"condition\": \"drizzle\"}, {\"temperature\": 25.391354725358426, \"wind\": 68.9460480155243, \"precipitation\": 93.11546643206357, \"condition\": \"fog\"}, {\"temperature\": 27.7726958317102, \"wind\": 15.439482065514532, \"precipitation\": 5.293937143885552, \"condition\": \"sun\"}, {\"temperature\": 3.0547946822445873, \"wind\": 86.42755659056152, \"precipitation\": 2.624712873155066, \"condition\": \"rain\"}, {\"temperature\": 39.42369527658811, \"wind\": 47.39700920935881, \"precipitation\": 41.728060203985706, \"condition\": \"rain\"}, {\"temperature\": 31.616549252691705, \"wind\": 31.294073920356126, \"precipitation\": 61.66414511625905, \"condition\": \"snow\"}, {\"temperature\": 37.73472491414072, \"wind\": 56.11305268794269, \"precipitation\": 81.92111265208045, \"condition\": \"fog\"}, {\"temperature\": 29.412459474532355, \"wind\": 46.76189099995182, \"precipitation\": 32.17901910781431, \"condition\": \"snow\"}, {\"temperature\": -5.305474080741154, \"wind\": 16.51061166938045, \"precipitation\": 40.72674907868328, \"condition\": \"fog\"}, {\"temperature\": 28.248344335114005, \"wind\": 74.65204013977382, \"precipitation\": 8.992377726473755, \"condition\": \"drizzle\"}, {\"temperature\": 40.71245089747694, \"wind\": 60.52030820865206, \"precipitation\": 5.486289017174572, \"condition\": \"rain\"}, {\"temperature\": 1.2855687063133647, \"wind\": 47.74453362846665, \"precipitation\": 77.71039918592594, \"condition\": \"drizzle\"}, {\"temperature\": 13.997864573343104, \"wind\": 99.2063323267444, \"precipitation\": 14.897152160823302, \"condition\": \"drizzle\"}, {\"temperature\": 18.825549046465813, \"wind\": 96.7516586164724, \"precipitation\": 62.15480712924485, \"condition\": \"rain\"}, {\"temperature\": 17.102600135203243, \"wind\": 95.33201102579268, \"precipitation\": 1.76947633335095, \"condition\": \"rain\"}, {\"temperature\": 31.603226292108516, \"wind\": 80.1260277875885, \"precipitation\": 19.250819441340848, \"condition\": \"drizzle\"}, {\"temperature\": 7.272202684808242, \"wind\": 8.416568701596594, \"precipitation\": 24.486546883662086, \"condition\": \"drizzle\"}, {\"temperature\": 6.42450547762995, \"wind\": 39.273237823513206, \"precipitation\": 59.175511527387584, \"condition\": \"sun\"}, {\"temperature\": 0.37651709537109035, \"wind\": 94.77902759827063, \"precipitation\": 28.64474524803353, \"condition\": \"fog\"}, {\"temperature\": 29.418237348870328, \"wind\": 73.1637224142291, \"precipitation\": 36.384371127988594, \"condition\": \"fog\"}, {\"temperature\": 32.58410407316762, \"wind\": 23.572673866731876, \"precipitation\": 21.78686177609982, \"condition\": \"sun\"}, {\"temperature\": 40.58331555194774, \"wind\": 12.46579946692835, \"precipitation\": 33.052715046353775, \"condition\": \"fog\"}, {\"temperature\": 15.02270799243955, \"wind\": 23.521353082533057, \"precipitation\": 0.5866372551906918, \"condition\": \"rain\"}, {\"temperature\": -1.5856356202583797, \"wind\": 58.706439422107415, \"precipitation\": 23.69625533115679, \"condition\": \"fog\"}, {\"temperature\": 39.83846166807995, \"wind\": 7.925060993257304, \"precipitation\": 73.27745598517468, \"condition\": \"snow\"}, {\"temperature\": 30.25106478610541, \"wind\": 53.60474576386106, \"precipitation\": 76.63592895791527, \"condition\": \"sun\"}, {\"temperature\": 12.08528607254729, \"wind\": 11.679210728025568, \"precipitation\": 21.30987094861694, \"condition\": \"drizzle\"}, {\"temperature\": 20.103305307522167, \"wind\": 35.51132614216856, \"precipitation\": 99.11641742479553, \"condition\": \"snow\"}, {\"temperature\": 34.61293495454381, \"wind\": 16.44814913694985, \"precipitation\": 76.5788070641912, \"condition\": \"sun\"}, {\"temperature\": 5.3304368864748515, \"wind\": 11.488543420187414, \"precipitation\": 23.611522242446682, \"condition\": \"rain\"}, {\"temperature\": 10.624231316087673, \"wind\": 89.57677208906625, \"precipitation\": 17.901521820239154, \"condition\": \"rain\"}, {\"temperature\": 16.45869339879156, \"wind\": 82.14358903068431, \"precipitation\": 50.5274648107178, \"condition\": \"drizzle\"}, {\"temperature\": 30.4859555666389, \"wind\": 85.43429025210673, \"precipitation\": 99.7314407177562, \"condition\": \"sun\"}, {\"temperature\": -7.842697704519862, \"wind\": 20.10431994181, \"precipitation\": 8.499755604198123, \"condition\": \"drizzle\"}, {\"temperature\": 23.82197430970396, \"wind\": 30.71236264475776, \"precipitation\": 91.23232368725205, \"condition\": \"snow\"}, {\"temperature\": 43.63862559514364, \"wind\": 28.821660476932877, \"precipitation\": 99.71103207097889, \"condition\": \"fog\"}, {\"temperature\": 8.981532662882305, \"wind\": 35.921027372850865, \"precipitation\": 91.12082810014113, \"condition\": \"fog\"}, {\"temperature\": 26.077729266653087, \"wind\": 63.53612288999908, \"precipitation\": 90.09748712912719, \"condition\": \"sun\"}, {\"temperature\": 38.44181274295784, \"wind\": 71.99143401846956, \"precipitation\": 21.221688878355216, \"condition\": \"rain\"}, {\"temperature\": 34.78710550916185, \"wind\": 89.27467266301889, \"precipitation\": 41.1955282025937, \"condition\": \"sun\"}, {\"temperature\": -5.848035132361012, \"wind\": 57.23792962073, \"precipitation\": 64.23162970775795, \"condition\": \"rain\"}, {\"temperature\": 0.6933169720006127, \"wind\": 72.76756692493736, \"precipitation\": 62.223235261304524, \"condition\": \"drizzle\"}]}}, {\"mode\": \"vega-lite\"});\n</script>",
+      "text/plain": "alt.Chart(...)"
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "base = alt.Chart(df)\n",
+    "point = base.mark_point().encode(\n",
+    "    x=alt.X(field='temperature', \n",
+    "            type='quantitative', \n",
+    "            scale=alt.Scale(type='linear')),\n",
+    "    y=alt.Y(field='wind',\n",
+    "            type='quantitative', \n",
+    "            scale=alt.Scale(type='linear')),\n",
+    "    size=alt.Size(field='precipitation', \n",
+    "                  type='quantitative', \n",
+    "                  scale=alt.Scale(type='linear')),\n",
+    ")\n",
+    "display_chart(point)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Stacked Charts"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Pie Chart"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 63,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "{'field': [{'name': 'temperature', 'type': 'number'},\n",
+      "           {'name': 'condition', 'type': 'string'}],\n",
+      " 'number_rows': 100,\n",
+      " 'view': [{'coordinates': 'polar',\n",
+      "           'mark': [{'encoding': [{'aggregate': 'count',\n",
+      "                                   'channel': 'y',\n",
+      "                                   'stack': 'zero'},\n",
+      "                                  {'channel': 'color', 'field': 'condition'}],\n",
+      "                     'type': 'bar'}],\n",
+      "           'scale': [{'channel': 'y', 'type': 'linear', 'zero': 'true'},\n",
+      "                     {'channel': 'color', 'type': 'categorical'}]}]}\n"
+     ]
+    }
+   ],
+   "source": [
+    "facts = ['attribute(number_rows,root,100).',\n",
+    " 'entity(field,root,temperature).',\n",
+    " 'attribute((field,name),temperature,temperature).',\n",
+    " 'attribute((field,type),temperature,number).',\n",
+    " 'entity(field,root,condition).',\n",
+    " 'attribute((field,name),condition,condition).',\n",
+    " 'attribute((field,type),condition,string).',\n",
+    " 'entity(view,root,0).',\n",
+    " 'attribute((view,coordinates),0,polar).',\n",
+    " 'entity(mark,0,1).',\n",
+    " 'attribute((mark,type),1,bar).',\n",
+    " 'entity(encoding,1,2).',\n",
+    " 'attribute((encoding,channel),2,y).',\n",
+    " 'attribute((encoding,aggregate),2,count).',\n",
+    " 'attribute((encoding,stack),2,zero).',\n",
+    " 'entity(encoding,1,3).',\n",
+    " 'attribute((encoding,channel),3,color).',\n",
+    " 'attribute((encoding,field),3,condition).',\n",
+    " 'entity(scale,0,4).',\n",
+    " 'attribute((scale,channel),4,y).',\n",
+    " 'attribute((scale,type),4,linear).',\n",
+    " 'attribute((scale,zero),4,true).',\n",
+    " 'entity(scale,0,5).',\n",
+    " 'attribute((scale,channel),5,color).',\n",
+    " 'attribute((scale,type),5,categorical).']\n",
+    "spec = facts_to_dict(facts)\n",
+    "pprint(spec)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 64,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "{'$schema': 'https://vega.github.io/schema/vega-lite/v4.17.0.json',\n",
+      " 'config': {'view': {'continuousHeight': 300, 'continuousWidth': 400}},\n",
+      " 'encoding': {'color': {'field': 'condition',\n",
+      "                        'scale': {'type': 'ordinal'},\n",
+      "                        'type': 'nominal'},\n",
+      "              'theta': {'aggregate': 'count',\n",
+      "                        'field': 'temperature',\n",
+      "                        'scale': {'type': 'linear', 'zero': True},\n",
+      "                        'stack': 'zero',\n",
+      "                        'type': 'quantitative'}},\n",
+      " 'mark': 'arc'}\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": "\n<div id=\"altair-viz-8337a73857554884bde886f0b4ff5d9e\"></div>\n<script type=\"text/javascript\">\n  var VEGA_DEBUG = (typeof VEGA_DEBUG == \"undefined\") ? {} : VEGA_DEBUG;\n  (function(spec, embedOpt){\n    let outputDiv = document.currentScript.previousElementSibling;\n    if (outputDiv.id !== \"altair-viz-8337a73857554884bde886f0b4ff5d9e\") {\n      outputDiv = document.getElementById(\"altair-viz-8337a73857554884bde886f0b4ff5d9e\");\n    }\n    const paths = {\n      \"vega\": \"https://cdn.jsdelivr.net/npm//vega@5?noext\",\n      \"vega-lib\": \"https://cdn.jsdelivr.net/npm//vega-lib?noext\",\n      \"vega-lite\": \"https://cdn.jsdelivr.net/npm//vega-lite@4.17.0?noext\",\n      \"vega-embed\": \"https://cdn.jsdelivr.net/npm//vega-embed@6?noext\",\n    };\n\n    function maybeLoadScript(lib, version) {\n      var key = `${lib.replace(\"-\", \"\")}_version`;\n      return (VEGA_DEBUG[key] == version) ?\n        Promise.resolve(paths[lib]) :\n        new Promise(function(resolve, reject) {\n          var s = document.createElement('script');\n          document.getElementsByTagName(\"head\")[0].appendChild(s);\n          s.async = true;\n          s.onload = () => {\n            VEGA_DEBUG[key] = version;\n            return resolve(paths[lib]);\n          };\n          s.onerror = () => reject(`Error loading script: ${paths[lib]}`);\n          s.src = paths[lib];\n        });\n    }\n\n    function showError(err) {\n      outputDiv.innerHTML = `<div class=\"error\" style=\"color:red;\">${err}</div>`;\n      throw err;\n    }\n\n    function displayChart(vegaEmbed) {\n      vegaEmbed(outputDiv, spec, embedOpt)\n        .catch(err => showError(`Javascript Error: ${err.message}<br>This usually means there's a typo in your chart specification. See the javascript console for the full traceback.`));\n    }\n\n    if(typeof define === \"function\" && define.amd) {\n      requirejs.config({paths});\n      require([\"vega-embed\"], displayChart, err => showError(`Error loading script: ${err.message}`));\n    } else {\n      maybeLoadScript(\"vega\", \"5\")\n        .then(() => maybeLoadScript(\"vega-lite\", \"4.17.0\"))\n        .then(() => maybeLoadScript(\"vega-embed\", \"6\"))\n        .catch(showError)\n        .then(() => displayChart(vegaEmbed));\n    }\n  })({\"config\": {\"view\": {\"continuousWidth\": 400, \"continuousHeight\": 300}}, \"data\": {\"name\": \"data-80b0e930866eee6a77413fd6e0890a78\"}, \"mark\": \"arc\", \"encoding\": {\"color\": {\"field\": \"condition\", \"scale\": {\"type\": \"ordinal\"}, \"type\": \"nominal\"}, \"theta\": {\"aggregate\": \"count\", \"field\": \"temperature\", \"scale\": {\"type\": \"linear\", \"zero\": true}, \"stack\": \"zero\", \"type\": \"quantitative\"}}, \"$schema\": \"https://vega.github.io/schema/vega-lite/v4.17.0.json\", \"datasets\": {\"data-80b0e930866eee6a77413fd6e0890a78\": [{\"temperature\": 39.357871877508494, \"wind\": 11.562263885182233, \"precipitation\": 88.42051387921796, \"condition\": \"fog\"}, {\"temperature\": -5.947154608637572, \"wind\": 86.90701738497849, \"precipitation\": 70.55832915444152, \"condition\": \"rain\"}, {\"temperature\": 32.82765627853655, \"wind\": 97.65897402212389, \"precipitation\": 82.65511533530304, \"condition\": \"sun\"}, {\"temperature\": 17.525999106231197, \"wind\": 65.52797477069528, \"precipitation\": 53.86256526101837, \"condition\": \"snow\"}, {\"temperature\": -6.80882656934652, \"wind\": 37.03429394195952, \"precipitation\": 93.86525481254682, \"condition\": \"drizzle\"}, {\"temperature\": 42.35997285539091, \"wind\": 72.00671240950793, \"precipitation\": 40.6587905336316, \"condition\": \"sun\"}, {\"temperature\": 12.236046428620227, \"wind\": 24.35537864304579, \"precipitation\": 83.89080965364893, \"condition\": \"sun\"}, {\"temperature\": 42.8103257781665, \"wind\": 29.81101459268268, \"precipitation\": 71.55020159752638, \"condition\": \"sun\"}, {\"temperature\": 22.54392113778252, \"wind\": 96.88264927669367, \"precipitation\": 57.21207145158276, \"condition\": \"rain\"}, {\"temperature\": 22.503608231529917, \"wind\": 73.45718441223443, \"precipitation\": 18.48099480479052, \"condition\": \"fog\"}, {\"temperature\": 20.697023061259923, \"wind\": 78.8085781529467, \"precipitation\": 82.06153728611223, \"condition\": \"drizzle\"}, {\"temperature\": 25.290109397291054, \"wind\": 80.30649374788099, \"precipitation\": 22.36608661432985, \"condition\": \"sun\"}, {\"temperature\": 38.2799313550365, \"wind\": 67.47085587574028, \"precipitation\": 20.740111999310816, \"condition\": \"snow\"}, {\"temperature\": 3.6725463468113624, \"wind\": 1.0115541087158841, \"precipitation\": 18.15771285571497, \"condition\": \"fog\"}, {\"temperature\": 43.05607594953013, \"wind\": 60.68482719845524, \"precipitation\": 57.77089873340201, \"condition\": \"drizzle\"}, {\"temperature\": 32.26702695541979, \"wind\": 51.25287908408247, \"precipitation\": 82.37499650298116, \"condition\": \"sun\"}, {\"temperature\": 20.65470025342109, \"wind\": 17.357994382399223, \"precipitation\": 61.85803419037972, \"condition\": \"snow\"}, {\"temperature\": 7.591958649416281, \"wind\": 56.87567133218157, \"precipitation\": 63.83705679953054, \"condition\": \"drizzle\"}, {\"temperature\": 34.12588295742098, \"wind\": 53.49706318356736, \"precipitation\": 39.89871505509641, \"condition\": \"drizzle\"}, {\"temperature\": 43.35047614485006, \"wind\": 25.611854852857896, \"precipitation\": 80.36992353488051, \"condition\": \"sun\"}, {\"temperature\": -0.6670916465821719, \"wind\": 85.48944217634627, \"precipitation\": 74.19603252504737, \"condition\": \"fog\"}, {\"temperature\": 27.71533514546813, \"wind\": 92.40258299219964, \"precipitation\": 35.46329445299181, \"condition\": \"sun\"}, {\"temperature\": 42.990310063528334, \"wind\": 4.767210553938305, \"precipitation\": 78.84896594785124, \"condition\": \"drizzle\"}, {\"temperature\": 12.78024257419457, \"wind\": 70.42789298007587, \"precipitation\": 32.19857853159736, \"condition\": \"rain\"}, {\"temperature\": 12.345464511586698, \"wind\": 96.37504245663669, \"precipitation\": 58.32326475918834, \"condition\": \"drizzle\"}, {\"temperature\": 16.615985139736694, \"wind\": 79.42654814203834, \"precipitation\": 13.002687080260278, \"condition\": \"drizzle\"}, {\"temperature\": 37.42489242698708, \"wind\": 61.345695045120095, \"precipitation\": 43.77564041090408, \"condition\": \"rain\"}, {\"temperature\": 4.4803758908315565, \"wind\": 49.77522034422004, \"precipitation\": 50.69600709811043, \"condition\": \"drizzle\"}, {\"temperature\": 24.097652039323982, \"wind\": 8.979384326640405, \"precipitation\": 30.641954593528485, \"condition\": \"sun\"}, {\"temperature\": -5.322217743871135, \"wind\": 61.189346843944705, \"precipitation\": 31.593229557269186, \"condition\": \"snow\"}, {\"temperature\": 9.656575236136984, \"wind\": 2.1373906951494104, \"precipitation\": 57.5465193225844, \"condition\": \"rain\"}, {\"temperature\": 23.09003214094531, \"wind\": 16.8504340533028, \"precipitation\": 49.38199137777561, \"condition\": \"snow\"}, {\"temperature\": -0.8910674950475652, \"wind\": 67.4372389241753, \"precipitation\": 44.01373586297284, \"condition\": \"drizzle\"}, {\"temperature\": 38.77628981797657, \"wind\": 19.349109733319814, \"precipitation\": 18.478064234157422, \"condition\": \"snow\"}, {\"temperature\": 3.4205075380082093, \"wind\": 27.407919047755026, \"precipitation\": 32.84745237938085, \"condition\": \"fog\"}, {\"temperature\": -5.033320662096024, \"wind\": 94.25698462447689, \"precipitation\": 43.460229120490254, \"condition\": \"fog\"}, {\"temperature\": -9.971237977814939, \"wind\": 93.98073112476098, \"precipitation\": 74.78247080628827, \"condition\": \"sun\"}, {\"temperature\": 14.882883965973484, \"wind\": 24.785612027523594, \"precipitation\": 51.19773747140527, \"condition\": \"drizzle\"}, {\"temperature\": 14.018034425277474, \"wind\": 91.62717881393021, \"precipitation\": 99.49522416477019, \"condition\": \"sun\"}, {\"temperature\": 31.305982604448104, \"wind\": 40.90373869893349, \"precipitation\": 74.89298496286528, \"condition\": \"rain\"}, {\"temperature\": 30.610723278623702, \"wind\": 42.06017669565571, \"precipitation\": 69.67703870061514, \"condition\": \"snow\"}, {\"temperature\": 34.74664418075527, \"wind\": 38.58462817605697, \"precipitation\": 67.82787083848606, \"condition\": \"sun\"}, {\"temperature\": 8.120514857460222, \"wind\": 98.79896637292207, \"precipitation\": 21.126567495900296, \"condition\": \"drizzle\"}, {\"temperature\": 21.830015183550092, \"wind\": 22.1211872838582, \"precipitation\": 79.23266981302642, \"condition\": \"fog\"}, {\"temperature\": 37.98236222048335, \"wind\": 3.9308035344873593, \"precipitation\": 14.592671850934291, \"condition\": \"rain\"}, {\"temperature\": 25.958872120055887, \"wind\": 30.880613774748145, \"precipitation\": 81.56963648865039, \"condition\": \"rain\"}, {\"temperature\": 35.17236224867325, \"wind\": 31.08177020391971, \"precipitation\": 24.18647666653794, \"condition\": \"rain\"}, {\"temperature\": 33.364342578760876, \"wind\": 2.9246595809319653, \"precipitation\": 12.15848602978733, \"condition\": \"fog\"}, {\"temperature\": -3.5902835942627487, \"wind\": 86.99227504041556, \"precipitation\": 2.3639517923128017, \"condition\": \"drizzle\"}, {\"temperature\": 43.53091004081406, \"wind\": 70.60869224087214, \"precipitation\": 66.94726954818158, \"condition\": \"rain\"}, {\"temperature\": 1.8337888199719252, \"wind\": 75.06866321814911, \"precipitation\": 53.6891397098117, \"condition\": \"sun\"}, {\"temperature\": 43.47830583880354, \"wind\": 71.68689230524836, \"precipitation\": 31.73117090776013, \"condition\": \"sun\"}, {\"temperature\": 24.70816388894937, \"wind\": 68.30107169120795, \"precipitation\": 20.50225020747416, \"condition\": \"snow\"}, {\"temperature\": 16.05118379980134, \"wind\": 52.99782792799144, \"precipitation\": 11.69028728553364, \"condition\": \"fog\"}, {\"temperature\": 28.077076050276126, \"wind\": 24.843732657120764, \"precipitation\": 7.7565838958533195, \"condition\": \"fog\"}, {\"temperature\": 26.313211105376084, \"wind\": 45.03333651941402, \"precipitation\": 31.41227095201218, \"condition\": \"fog\"}, {\"temperature\": 25.47932407524442, \"wind\": 87.21604759710651, \"precipitation\": 13.96847689136137, \"condition\": \"snow\"}, {\"temperature\": 11.036706749946731, \"wind\": 33.86229598446234, \"precipitation\": 38.968294579117845, \"condition\": \"rain\"}, {\"temperature\": 0.8142265953456, \"wind\": 70.98507415296346, \"precipitation\": 19.273374312321256, \"condition\": \"drizzle\"}, {\"temperature\": 25.391354725358426, \"wind\": 68.9460480155243, \"precipitation\": 93.11546643206357, \"condition\": \"fog\"}, {\"temperature\": 27.7726958317102, \"wind\": 15.439482065514532, \"precipitation\": 5.293937143885552, \"condition\": \"sun\"}, {\"temperature\": 3.0547946822445873, \"wind\": 86.42755659056152, \"precipitation\": 2.624712873155066, \"condition\": \"rain\"}, {\"temperature\": 39.42369527658811, \"wind\": 47.39700920935881, \"precipitation\": 41.728060203985706, \"condition\": \"rain\"}, {\"temperature\": 31.616549252691705, \"wind\": 31.294073920356126, \"precipitation\": 61.66414511625905, \"condition\": \"snow\"}, {\"temperature\": 37.73472491414072, \"wind\": 56.11305268794269, \"precipitation\": 81.92111265208045, \"condition\": \"fog\"}, {\"temperature\": 29.412459474532355, \"wind\": 46.76189099995182, \"precipitation\": 32.17901910781431, \"condition\": \"snow\"}, {\"temperature\": -5.305474080741154, \"wind\": 16.51061166938045, \"precipitation\": 40.72674907868328, \"condition\": \"fog\"}, {\"temperature\": 28.248344335114005, \"wind\": 74.65204013977382, \"precipitation\": 8.992377726473755, \"condition\": \"drizzle\"}, {\"temperature\": 40.71245089747694, \"wind\": 60.52030820865206, \"precipitation\": 5.486289017174572, \"condition\": \"rain\"}, {\"temperature\": 1.2855687063133647, \"wind\": 47.74453362846665, \"precipitation\": 77.71039918592594, \"condition\": \"drizzle\"}, {\"temperature\": 13.997864573343104, \"wind\": 99.2063323267444, \"precipitation\": 14.897152160823302, \"condition\": \"drizzle\"}, {\"temperature\": 18.825549046465813, \"wind\": 96.7516586164724, \"precipitation\": 62.15480712924485, \"condition\": \"rain\"}, {\"temperature\": 17.102600135203243, \"wind\": 95.33201102579268, \"precipitation\": 1.76947633335095, \"condition\": \"rain\"}, {\"temperature\": 31.603226292108516, \"wind\": 80.1260277875885, \"precipitation\": 19.250819441340848, \"condition\": \"drizzle\"}, {\"temperature\": 7.272202684808242, \"wind\": 8.416568701596594, \"precipitation\": 24.486546883662086, \"condition\": \"drizzle\"}, {\"temperature\": 6.42450547762995, \"wind\": 39.273237823513206, \"precipitation\": 59.175511527387584, \"condition\": \"sun\"}, {\"temperature\": 0.37651709537109035, \"wind\": 94.77902759827063, \"precipitation\": 28.64474524803353, \"condition\": \"fog\"}, {\"temperature\": 29.418237348870328, \"wind\": 73.1637224142291, \"precipitation\": 36.384371127988594, \"condition\": \"fog\"}, {\"temperature\": 32.58410407316762, \"wind\": 23.572673866731876, \"precipitation\": 21.78686177609982, \"condition\": \"sun\"}, {\"temperature\": 40.58331555194774, \"wind\": 12.46579946692835, \"precipitation\": 33.052715046353775, \"condition\": \"fog\"}, {\"temperature\": 15.02270799243955, \"wind\": 23.521353082533057, \"precipitation\": 0.5866372551906918, \"condition\": \"rain\"}, {\"temperature\": -1.5856356202583797, \"wind\": 58.706439422107415, \"precipitation\": 23.69625533115679, \"condition\": \"fog\"}, {\"temperature\": 39.83846166807995, \"wind\": 7.925060993257304, \"precipitation\": 73.27745598517468, \"condition\": \"snow\"}, {\"temperature\": 30.25106478610541, \"wind\": 53.60474576386106, \"precipitation\": 76.63592895791527, \"condition\": \"sun\"}, {\"temperature\": 12.08528607254729, \"wind\": 11.679210728025568, \"precipitation\": 21.30987094861694, \"condition\": \"drizzle\"}, {\"temperature\": 20.103305307522167, \"wind\": 35.51132614216856, \"precipitation\": 99.11641742479553, \"condition\": \"snow\"}, {\"temperature\": 34.61293495454381, \"wind\": 16.44814913694985, \"precipitation\": 76.5788070641912, \"condition\": \"sun\"}, {\"temperature\": 5.3304368864748515, \"wind\": 11.488543420187414, \"precipitation\": 23.611522242446682, \"condition\": \"rain\"}, {\"temperature\": 10.624231316087673, \"wind\": 89.57677208906625, \"precipitation\": 17.901521820239154, \"condition\": \"rain\"}, {\"temperature\": 16.45869339879156, \"wind\": 82.14358903068431, \"precipitation\": 50.5274648107178, \"condition\": \"drizzle\"}, {\"temperature\": 30.4859555666389, \"wind\": 85.43429025210673, \"precipitation\": 99.7314407177562, \"condition\": \"sun\"}, {\"temperature\": -7.842697704519862, \"wind\": 20.10431994181, \"precipitation\": 8.499755604198123, \"condition\": \"drizzle\"}, {\"temperature\": 23.82197430970396, \"wind\": 30.71236264475776, \"precipitation\": 91.23232368725205, \"condition\": \"snow\"}, {\"temperature\": 43.63862559514364, \"wind\": 28.821660476932877, \"precipitation\": 99.71103207097889, \"condition\": \"fog\"}, {\"temperature\": 8.981532662882305, \"wind\": 35.921027372850865, \"precipitation\": 91.12082810014113, \"condition\": \"fog\"}, {\"temperature\": 26.077729266653087, \"wind\": 63.53612288999908, \"precipitation\": 90.09748712912719, \"condition\": \"sun\"}, {\"temperature\": 38.44181274295784, \"wind\": 71.99143401846956, \"precipitation\": 21.221688878355216, \"condition\": \"rain\"}, {\"temperature\": 34.78710550916185, \"wind\": 89.27467266301889, \"precipitation\": 41.1955282025937, \"condition\": \"sun\"}, {\"temperature\": -5.848035132361012, \"wind\": 57.23792962073, \"precipitation\": 64.23162970775795, \"condition\": \"rain\"}, {\"temperature\": 0.6933169720006127, \"wind\": 72.76756692493736, \"precipitation\": 62.223235261304524, \"condition\": \"drizzle\"}]}}, {\"mode\": \"vega-lite\"});\n</script>",
+      "text/plain": "alt.Chart(...)"
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "base = alt.Chart(df)\n",
+    "arc = base.mark_arc().encode(\n",
+    "    theta=alt.Theta(field='temperature', \n",
+    "                    type='quantitative', \n",
+    "                    aggregate='count',\n",
+    "                    stack='zero',\n",
+    "                    scale=alt.Scale(type='linear', zero=True)),\n",
+    "    color=alt.Color(field='condition', \n",
+    "                    type='nominal',\n",
+    "                    scale=alt.Scale(type='ordinal')),\n",
+    ")\n",
+    "display_chart(arc)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Stacked Bar Chart"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 65,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "{'field': [{'name': 'temperature', 'type': 'number'},\n",
+      "           {'name': 'condition', 'type': 'string'}],\n",
+      " 'number_rows': 100,\n",
+      " 'view': [{'mark': [{'encoding': [{'binning': 10,\n",
+      "                                   'channel': 'x',\n",
+      "                                   'field': 'temperature'},\n",
+      "                                  {'aggregate': 'count',\n",
+      "                                   'channel': 'y',\n",
+      "                                   'stack': 'zero'},\n",
+      "                                  {'channel': 'color', 'field': 'condition'}],\n",
+      "                     'type': 'bar'}],\n",
+      "           'scale': [{'channel': 'x', 'type': 'linear'},\n",
+      "                     {'channel': 'y', 'type': 'linear', 'zero': 'true'},\n",
+      "                     {'channel': 'color', 'type': 'categorical'}]}]}\n"
+     ]
+    }
+   ],
+   "source": [
+    "facts = ['attribute(number_rows,root,100).',\n",
+    " 'entity(field,root,temperature).',\n",
+    " 'attribute((field,name),temperature,temperature).',\n",
+    " 'attribute((field,type),temperature,number).',\n",
+    " 'entity(field,root,condition).',\n",
+    " 'attribute((field,name),condition,condition).',\n",
+    " 'attribute((field,type),condition,string).',\n",
+    " 'entity(view,root,0).',\n",
+    " 'entity(mark,0,1).',\n",
+    " 'attribute((mark,type),1,bar).',\n",
+    " 'entity(encoding,1,2).',\n",
+    " 'attribute((encoding,channel),2,x).',\n",
+    " 'attribute((encoding,field),2,temperature).',\n",
+    " 'attribute((encoding,binning),2,10).',\n",
+    " 'entity(encoding,1,3).',\n",
+    " 'attribute((encoding,channel),3,y).',\n",
+    " 'attribute((encoding,aggregate),3,count).',\n",
+    " 'attribute((encoding,stack),3,zero).',\n",
+    " 'entity(encoding,1,4).',\n",
+    " 'attribute((encoding,channel),4,color).',\n",
+    " 'attribute((encoding,field),4,condition).',\n",
+    " 'entity(scale,0,5).',\n",
+    " 'attribute((scale,channel),5,x).',\n",
+    " 'attribute((scale,type),5,linear).',\n",
+    " 'entity(scale,0,6).',\n",
+    " 'attribute((scale,channel),6,y).',\n",
+    " 'attribute((scale,type),6,linear).',\n",
+    " 'attribute((scale,zero),6,true).',\n",
+    " 'entity(scale,0,7).',\n",
+    " 'attribute((scale,channel),7,color).',\n",
+    " 'attribute((scale,type),7,categorical).']\n",
+    "spec = facts_to_dict(facts)\n",
+    "pprint(spec)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 66,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "{'$schema': 'https://vega.github.io/schema/vega-lite/v4.17.0.json',\n",
+      " 'config': {'view': {'continuousHeight': 300, 'continuousWidth': 400}},\n",
+      " 'encoding': {'color': {'field': 'condition', 'type': 'nominal'},\n",
+      "              'x': {'bin': {'maxbins': 10},\n",
+      "                    'field': 'temperature',\n",
+      "                    'scale': {'type': 'linear'},\n",
+      "                    'type': 'quantitative'},\n",
+      "              'y': {'aggregate': 'count',\n",
+      "                    'field': 'temperature',\n",
+      "                    'scale': {'type': 'linear', 'zero': True},\n",
+      "                    'stack': 'zero',\n",
+      "                    'type': 'quantitative'}},\n",
+      " 'mark': 'bar'}\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": "\n<div id=\"altair-viz-16b1ddd1affe4b14b3390db498549adc\"></div>\n<script type=\"text/javascript\">\n  var VEGA_DEBUG = (typeof VEGA_DEBUG == \"undefined\") ? {} : VEGA_DEBUG;\n  (function(spec, embedOpt){\n    let outputDiv = document.currentScript.previousElementSibling;\n    if (outputDiv.id !== \"altair-viz-16b1ddd1affe4b14b3390db498549adc\") {\n      outputDiv = document.getElementById(\"altair-viz-16b1ddd1affe4b14b3390db498549adc\");\n    }\n    const paths = {\n      \"vega\": \"https://cdn.jsdelivr.net/npm//vega@5?noext\",\n      \"vega-lib\": \"https://cdn.jsdelivr.net/npm//vega-lib?noext\",\n      \"vega-lite\": \"https://cdn.jsdelivr.net/npm//vega-lite@4.17.0?noext\",\n      \"vega-embed\": \"https://cdn.jsdelivr.net/npm//vega-embed@6?noext\",\n    };\n\n    function maybeLoadScript(lib, version) {\n      var key = `${lib.replace(\"-\", \"\")}_version`;\n      return (VEGA_DEBUG[key] == version) ?\n        Promise.resolve(paths[lib]) :\n        new Promise(function(resolve, reject) {\n          var s = document.createElement('script');\n          document.getElementsByTagName(\"head\")[0].appendChild(s);\n          s.async = true;\n          s.onload = () => {\n            VEGA_DEBUG[key] = version;\n            return resolve(paths[lib]);\n          };\n          s.onerror = () => reject(`Error loading script: ${paths[lib]}`);\n          s.src = paths[lib];\n        });\n    }\n\n    function showError(err) {\n      outputDiv.innerHTML = `<div class=\"error\" style=\"color:red;\">${err}</div>`;\n      throw err;\n    }\n\n    function displayChart(vegaEmbed) {\n      vegaEmbed(outputDiv, spec, embedOpt)\n        .catch(err => showError(`Javascript Error: ${err.message}<br>This usually means there's a typo in your chart specification. See the javascript console for the full traceback.`));\n    }\n\n    if(typeof define === \"function\" && define.amd) {\n      requirejs.config({paths});\n      require([\"vega-embed\"], displayChart, err => showError(`Error loading script: ${err.message}`));\n    } else {\n      maybeLoadScript(\"vega\", \"5\")\n        .then(() => maybeLoadScript(\"vega-lite\", \"4.17.0\"))\n        .then(() => maybeLoadScript(\"vega-embed\", \"6\"))\n        .catch(showError)\n        .then(() => displayChart(vegaEmbed));\n    }\n  })({\"config\": {\"view\": {\"continuousWidth\": 400, \"continuousHeight\": 300}}, \"data\": {\"name\": \"data-80b0e930866eee6a77413fd6e0890a78\"}, \"mark\": \"bar\", \"encoding\": {\"color\": {\"field\": \"condition\", \"type\": \"nominal\"}, \"x\": {\"bin\": {\"maxbins\": 10}, \"field\": \"temperature\", \"scale\": {\"type\": \"linear\"}, \"type\": \"quantitative\"}, \"y\": {\"aggregate\": \"count\", \"field\": \"temperature\", \"scale\": {\"type\": \"linear\", \"zero\": true}, \"stack\": \"zero\", \"type\": \"quantitative\"}}, \"$schema\": \"https://vega.github.io/schema/vega-lite/v4.17.0.json\", \"datasets\": {\"data-80b0e930866eee6a77413fd6e0890a78\": [{\"temperature\": 39.357871877508494, \"wind\": 11.562263885182233, \"precipitation\": 88.42051387921796, \"condition\": \"fog\"}, {\"temperature\": -5.947154608637572, \"wind\": 86.90701738497849, \"precipitation\": 70.55832915444152, \"condition\": \"rain\"}, {\"temperature\": 32.82765627853655, \"wind\": 97.65897402212389, \"precipitation\": 82.65511533530304, \"condition\": \"sun\"}, {\"temperature\": 17.525999106231197, \"wind\": 65.52797477069528, \"precipitation\": 53.86256526101837, \"condition\": \"snow\"}, {\"temperature\": -6.80882656934652, \"wind\": 37.03429394195952, \"precipitation\": 93.86525481254682, \"condition\": \"drizzle\"}, {\"temperature\": 42.35997285539091, \"wind\": 72.00671240950793, \"precipitation\": 40.6587905336316, \"condition\": \"sun\"}, {\"temperature\": 12.236046428620227, \"wind\": 24.35537864304579, \"precipitation\": 83.89080965364893, \"condition\": \"sun\"}, {\"temperature\": 42.8103257781665, \"wind\": 29.81101459268268, \"precipitation\": 71.55020159752638, \"condition\": \"sun\"}, {\"temperature\": 22.54392113778252, \"wind\": 96.88264927669367, \"precipitation\": 57.21207145158276, \"condition\": \"rain\"}, {\"temperature\": 22.503608231529917, \"wind\": 73.45718441223443, \"precipitation\": 18.48099480479052, \"condition\": \"fog\"}, {\"temperature\": 20.697023061259923, \"wind\": 78.8085781529467, \"precipitation\": 82.06153728611223, \"condition\": \"drizzle\"}, {\"temperature\": 25.290109397291054, \"wind\": 80.30649374788099, \"precipitation\": 22.36608661432985, \"condition\": \"sun\"}, {\"temperature\": 38.2799313550365, \"wind\": 67.47085587574028, \"precipitation\": 20.740111999310816, \"condition\": \"snow\"}, {\"temperature\": 3.6725463468113624, \"wind\": 1.0115541087158841, \"precipitation\": 18.15771285571497, \"condition\": \"fog\"}, {\"temperature\": 43.05607594953013, \"wind\": 60.68482719845524, \"precipitation\": 57.77089873340201, \"condition\": \"drizzle\"}, {\"temperature\": 32.26702695541979, \"wind\": 51.25287908408247, \"precipitation\": 82.37499650298116, \"condition\": \"sun\"}, {\"temperature\": 20.65470025342109, \"wind\": 17.357994382399223, \"precipitation\": 61.85803419037972, \"condition\": \"snow\"}, {\"temperature\": 7.591958649416281, \"wind\": 56.87567133218157, \"precipitation\": 63.83705679953054, \"condition\": \"drizzle\"}, {\"temperature\": 34.12588295742098, \"wind\": 53.49706318356736, \"precipitation\": 39.89871505509641, \"condition\": \"drizzle\"}, {\"temperature\": 43.35047614485006, \"wind\": 25.611854852857896, \"precipitation\": 80.36992353488051, \"condition\": \"sun\"}, {\"temperature\": -0.6670916465821719, \"wind\": 85.48944217634627, \"precipitation\": 74.19603252504737, \"condition\": \"fog\"}, {\"temperature\": 27.71533514546813, \"wind\": 92.40258299219964, \"precipitation\": 35.46329445299181, \"condition\": \"sun\"}, {\"temperature\": 42.990310063528334, \"wind\": 4.767210553938305, \"precipitation\": 78.84896594785124, \"condition\": \"drizzle\"}, {\"temperature\": 12.78024257419457, \"wind\": 70.42789298007587, \"precipitation\": 32.19857853159736, \"condition\": \"rain\"}, {\"temperature\": 12.345464511586698, \"wind\": 96.37504245663669, \"precipitation\": 58.32326475918834, \"condition\": \"drizzle\"}, {\"temperature\": 16.615985139736694, \"wind\": 79.42654814203834, \"precipitation\": 13.002687080260278, \"condition\": \"drizzle\"}, {\"temperature\": 37.42489242698708, \"wind\": 61.345695045120095, \"precipitation\": 43.77564041090408, \"condition\": \"rain\"}, {\"temperature\": 4.4803758908315565, \"wind\": 49.77522034422004, \"precipitation\": 50.69600709811043, \"condition\": \"drizzle\"}, {\"temperature\": 24.097652039323982, \"wind\": 8.979384326640405, \"precipitation\": 30.641954593528485, \"condition\": \"sun\"}, {\"temperature\": -5.322217743871135, \"wind\": 61.189346843944705, \"precipitation\": 31.593229557269186, \"condition\": \"snow\"}, {\"temperature\": 9.656575236136984, \"wind\": 2.1373906951494104, \"precipitation\": 57.5465193225844, \"condition\": \"rain\"}, {\"temperature\": 23.09003214094531, \"wind\": 16.8504340533028, \"precipitation\": 49.38199137777561, \"condition\": \"snow\"}, {\"temperature\": -0.8910674950475652, \"wind\": 67.4372389241753, \"precipitation\": 44.01373586297284, \"condition\": \"drizzle\"}, {\"temperature\": 38.77628981797657, \"wind\": 19.349109733319814, \"precipitation\": 18.478064234157422, \"condition\": \"snow\"}, {\"temperature\": 3.4205075380082093, \"wind\": 27.407919047755026, \"precipitation\": 32.84745237938085, \"condition\": \"fog\"}, {\"temperature\": -5.033320662096024, \"wind\": 94.25698462447689, \"precipitation\": 43.460229120490254, \"condition\": \"fog\"}, {\"temperature\": -9.971237977814939, \"wind\": 93.98073112476098, \"precipitation\": 74.78247080628827, \"condition\": \"sun\"}, {\"temperature\": 14.882883965973484, \"wind\": 24.785612027523594, \"precipitation\": 51.19773747140527, \"condition\": \"drizzle\"}, {\"temperature\": 14.018034425277474, \"wind\": 91.62717881393021, \"precipitation\": 99.49522416477019, \"condition\": \"sun\"}, {\"temperature\": 31.305982604448104, \"wind\": 40.90373869893349, \"precipitation\": 74.89298496286528, \"condition\": \"rain\"}, {\"temperature\": 30.610723278623702, \"wind\": 42.06017669565571, \"precipitation\": 69.67703870061514, \"condition\": \"snow\"}, {\"temperature\": 34.74664418075527, \"wind\": 38.58462817605697, \"precipitation\": 67.82787083848606, \"condition\": \"sun\"}, {\"temperature\": 8.120514857460222, \"wind\": 98.79896637292207, \"precipitation\": 21.126567495900296, \"condition\": \"drizzle\"}, {\"temperature\": 21.830015183550092, \"wind\": 22.1211872838582, \"precipitation\": 79.23266981302642, \"condition\": \"fog\"}, {\"temperature\": 37.98236222048335, \"wind\": 3.9308035344873593, \"precipitation\": 14.592671850934291, \"condition\": \"rain\"}, {\"temperature\": 25.958872120055887, \"wind\": 30.880613774748145, \"precipitation\": 81.56963648865039, \"condition\": \"rain\"}, {\"temperature\": 35.17236224867325, \"wind\": 31.08177020391971, \"precipitation\": 24.18647666653794, \"condition\": \"rain\"}, {\"temperature\": 33.364342578760876, \"wind\": 2.9246595809319653, \"precipitation\": 12.15848602978733, \"condition\": \"fog\"}, {\"temperature\": -3.5902835942627487, \"wind\": 86.99227504041556, \"precipitation\": 2.3639517923128017, \"condition\": \"drizzle\"}, {\"temperature\": 43.53091004081406, \"wind\": 70.60869224087214, \"precipitation\": 66.94726954818158, \"condition\": \"rain\"}, {\"temperature\": 1.8337888199719252, \"wind\": 75.06866321814911, \"precipitation\": 53.6891397098117, \"condition\": \"sun\"}, {\"temperature\": 43.47830583880354, \"wind\": 71.68689230524836, \"precipitation\": 31.73117090776013, \"condition\": \"sun\"}, {\"temperature\": 24.70816388894937, \"wind\": 68.30107169120795, \"precipitation\": 20.50225020747416, \"condition\": \"snow\"}, {\"temperature\": 16.05118379980134, \"wind\": 52.99782792799144, \"precipitation\": 11.69028728553364, \"condition\": \"fog\"}, {\"temperature\": 28.077076050276126, \"wind\": 24.843732657120764, \"precipitation\": 7.7565838958533195, \"condition\": \"fog\"}, {\"temperature\": 26.313211105376084, \"wind\": 45.03333651941402, \"precipitation\": 31.41227095201218, \"condition\": \"fog\"}, {\"temperature\": 25.47932407524442, \"wind\": 87.21604759710651, \"precipitation\": 13.96847689136137, \"condition\": \"snow\"}, {\"temperature\": 11.036706749946731, \"wind\": 33.86229598446234, \"precipitation\": 38.968294579117845, \"condition\": \"rain\"}, {\"temperature\": 0.8142265953456, \"wind\": 70.98507415296346, \"precipitation\": 19.273374312321256, \"condition\": \"drizzle\"}, {\"temperature\": 25.391354725358426, \"wind\": 68.9460480155243, \"precipitation\": 93.11546643206357, \"condition\": \"fog\"}, {\"temperature\": 27.7726958317102, \"wind\": 15.439482065514532, \"precipitation\": 5.293937143885552, \"condition\": \"sun\"}, {\"temperature\": 3.0547946822445873, \"wind\": 86.42755659056152, \"precipitation\": 2.624712873155066, \"condition\": \"rain\"}, {\"temperature\": 39.42369527658811, \"wind\": 47.39700920935881, \"precipitation\": 41.728060203985706, \"condition\": \"rain\"}, {\"temperature\": 31.616549252691705, \"wind\": 31.294073920356126, \"precipitation\": 61.66414511625905, \"condition\": \"snow\"}, {\"temperature\": 37.73472491414072, \"wind\": 56.11305268794269, \"precipitation\": 81.92111265208045, \"condition\": \"fog\"}, {\"temperature\": 29.412459474532355, \"wind\": 46.76189099995182, \"precipitation\": 32.17901910781431, \"condition\": \"snow\"}, {\"temperature\": -5.305474080741154, \"wind\": 16.51061166938045, \"precipitation\": 40.72674907868328, \"condition\": \"fog\"}, {\"temperature\": 28.248344335114005, \"wind\": 74.65204013977382, \"precipitation\": 8.992377726473755, \"condition\": \"drizzle\"}, {\"temperature\": 40.71245089747694, \"wind\": 60.52030820865206, \"precipitation\": 5.486289017174572, \"condition\": \"rain\"}, {\"temperature\": 1.2855687063133647, \"wind\": 47.74453362846665, \"precipitation\": 77.71039918592594, \"condition\": \"drizzle\"}, {\"temperature\": 13.997864573343104, \"wind\": 99.2063323267444, \"precipitation\": 14.897152160823302, \"condition\": \"drizzle\"}, {\"temperature\": 18.825549046465813, \"wind\": 96.7516586164724, \"precipitation\": 62.15480712924485, \"condition\": \"rain\"}, {\"temperature\": 17.102600135203243, \"wind\": 95.33201102579268, \"precipitation\": 1.76947633335095, \"condition\": \"rain\"}, {\"temperature\": 31.603226292108516, \"wind\": 80.1260277875885, \"precipitation\": 19.250819441340848, \"condition\": \"drizzle\"}, {\"temperature\": 7.272202684808242, \"wind\": 8.416568701596594, \"precipitation\": 24.486546883662086, \"condition\": \"drizzle\"}, {\"temperature\": 6.42450547762995, \"wind\": 39.273237823513206, \"precipitation\": 59.175511527387584, \"condition\": \"sun\"}, {\"temperature\": 0.37651709537109035, \"wind\": 94.77902759827063, \"precipitation\": 28.64474524803353, \"condition\": \"fog\"}, {\"temperature\": 29.418237348870328, \"wind\": 73.1637224142291, \"precipitation\": 36.384371127988594, \"condition\": \"fog\"}, {\"temperature\": 32.58410407316762, \"wind\": 23.572673866731876, \"precipitation\": 21.78686177609982, \"condition\": \"sun\"}, {\"temperature\": 40.58331555194774, \"wind\": 12.46579946692835, \"precipitation\": 33.052715046353775, \"condition\": \"fog\"}, {\"temperature\": 15.02270799243955, \"wind\": 23.521353082533057, \"precipitation\": 0.5866372551906918, \"condition\": \"rain\"}, {\"temperature\": -1.5856356202583797, \"wind\": 58.706439422107415, \"precipitation\": 23.69625533115679, \"condition\": \"fog\"}, {\"temperature\": 39.83846166807995, \"wind\": 7.925060993257304, \"precipitation\": 73.27745598517468, \"condition\": \"snow\"}, {\"temperature\": 30.25106478610541, \"wind\": 53.60474576386106, \"precipitation\": 76.63592895791527, \"condition\": \"sun\"}, {\"temperature\": 12.08528607254729, \"wind\": 11.679210728025568, \"precipitation\": 21.30987094861694, \"condition\": \"drizzle\"}, {\"temperature\": 20.103305307522167, \"wind\": 35.51132614216856, \"precipitation\": 99.11641742479553, \"condition\": \"snow\"}, {\"temperature\": 34.61293495454381, \"wind\": 16.44814913694985, \"precipitation\": 76.5788070641912, \"condition\": \"sun\"}, {\"temperature\": 5.3304368864748515, \"wind\": 11.488543420187414, \"precipitation\": 23.611522242446682, \"condition\": \"rain\"}, {\"temperature\": 10.624231316087673, \"wind\": 89.57677208906625, \"precipitation\": 17.901521820239154, \"condition\": \"rain\"}, {\"temperature\": 16.45869339879156, \"wind\": 82.14358903068431, \"precipitation\": 50.5274648107178, \"condition\": \"drizzle\"}, {\"temperature\": 30.4859555666389, \"wind\": 85.43429025210673, \"precipitation\": 99.7314407177562, \"condition\": \"sun\"}, {\"temperature\": -7.842697704519862, \"wind\": 20.10431994181, \"precipitation\": 8.499755604198123, \"condition\": \"drizzle\"}, {\"temperature\": 23.82197430970396, \"wind\": 30.71236264475776, \"precipitation\": 91.23232368725205, \"condition\": \"snow\"}, {\"temperature\": 43.63862559514364, \"wind\": 28.821660476932877, \"precipitation\": 99.71103207097889, \"condition\": \"fog\"}, {\"temperature\": 8.981532662882305, \"wind\": 35.921027372850865, \"precipitation\": 91.12082810014113, \"condition\": \"fog\"}, {\"temperature\": 26.077729266653087, \"wind\": 63.53612288999908, \"precipitation\": 90.09748712912719, \"condition\": \"sun\"}, {\"temperature\": 38.44181274295784, \"wind\": 71.99143401846956, \"precipitation\": 21.221688878355216, \"condition\": \"rain\"}, {\"temperature\": 34.78710550916185, \"wind\": 89.27467266301889, \"precipitation\": 41.1955282025937, \"condition\": \"sun\"}, {\"temperature\": -5.848035132361012, \"wind\": 57.23792962073, \"precipitation\": 64.23162970775795, \"condition\": \"rain\"}, {\"temperature\": 0.6933169720006127, \"wind\": 72.76756692493736, \"precipitation\": 62.223235261304524, \"condition\": \"drizzle\"}]}}, {\"mode\": \"vega-lite\"});\n</script>",
+      "text/plain": "alt.Chart(...)"
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "base = alt.Chart(df)\n",
+    "bar = base.mark_bar().encode(\n",
+    "    x=alt.X(field='temperature', \n",
+    "            type='quantitative',\n",
+    "            bin=alt.Bin(maxbins=10),\n",
+    "            scale=alt.Scale(type='linear')),\n",
+    "    y=alt.Y(field='temperature', \n",
+    "            type='quantitative', \n",
+    "            aggregate='count',\n",
+    "            stack='zero',\n",
+    "            scale=alt.Scale(type='linear', zero=True)),\n",
+    "    color=alt.Color(field='condition', type='nominal')\n",
+    ")\n",
+    "display_chart(bar)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Normalized (Percentage) Stacked Bar Chart"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 67,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "{'field': [{'name': 'temperature', 'type': 'number'},\n",
+      "           {'name': 'condition', 'type': 'string'}],\n",
+      " 'number_rows': 100,\n",
+      " 'view': [{'mark': [{'encoding': [{'aggregate': 'count',\n",
+      "                                   'channel': 'x',\n",
+      "                                   'stack': 'normalize'},\n",
+      "                                  {'binning': 10,\n",
+      "                                   'channel': 'y',\n",
+      "                                   'field': 'temperature'},\n",
+      "                                  {'channel': 'color', 'field': 'condition'}],\n",
+      "                     'type': 'bar'}],\n",
+      "           'scale': [{'channel': 'x', 'type': 'linear', 'zero': 'true'},\n",
+      "                     {'channel': 'y', 'type': 'linear'},\n",
+      "                     {'channel': 'color', 'type': 'categorical'}]}]}\n"
+     ]
+    }
+   ],
+   "source": [
+    "facts = ['attribute(number_rows,root,100).',\n",
+    " 'entity(field,root,temperature).',\n",
+    " 'attribute((field,name),temperature,temperature).',\n",
+    " 'attribute((field,type),temperature,number).',\n",
+    " 'entity(field,root,condition).',\n",
+    " 'attribute((field,name),condition,condition).',\n",
+    " 'attribute((field,type),condition,string).',\n",
+    " 'entity(view,root,0).',\n",
+    " 'entity(mark,0,1).',\n",
+    " 'attribute((mark,type),1,bar).',\n",
+    " 'entity(encoding,1,2).',\n",
+    " 'attribute((encoding,channel),2,x).',\n",
+    " 'attribute((encoding,aggregate),2,count).',\n",
+    " 'attribute((encoding,stack),2,normalize).',\n",
+    " 'entity(encoding,1,3).',\n",
+    " 'attribute((encoding,channel),3,y).',\n",
+    " 'attribute((encoding,field),3,temperature).',\n",
+    " 'attribute((encoding,binning),3,10).',\n",
+    " 'entity(encoding,1,4).',\n",
+    " 'attribute((encoding,channel),4,color).',\n",
+    " 'attribute((encoding,field),4,condition).',\n",
+    " 'entity(scale,0,5).',\n",
+    " 'attribute((scale,channel),5,x).',\n",
+    " 'attribute((scale,type),5,linear).',\n",
+    " 'attribute((scale,zero),5,true).',\n",
+    " 'entity(scale,0,6).',\n",
+    " 'attribute((scale,channel),6,y).',\n",
+    " 'attribute((scale,type),6,linear).',\n",
+    " 'entity(scale,0,7).',\n",
+    " 'attribute((scale,channel),7,color).',\n",
+    " 'attribute((scale,type),7,categorical).']\n",
+    "spec = facts_to_dict(facts)\n",
+    "pprint(spec)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 68,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "{'$schema': 'https://vega.github.io/schema/vega-lite/v4.17.0.json',\n",
+      " 'config': {'view': {'continuousHeight': 300, 'continuousWidth': 400}},\n",
+      " 'encoding': {'color': {'field': 'condition', 'type': 'nominal'},\n",
+      "              'x': {'aggregate': 'count',\n",
+      "                    'field': 'temperature',\n",
+      "                    'scale': {'type': 'linear', 'zero': True},\n",
+      "                    'stack': 'normalize',\n",
+      "                    'type': 'quantitative'},\n",
+      "              'y': {'bin': {'maxbins': 10},\n",
+      "                    'field': 'temperature',\n",
+      "                    'scale': {'type': 'linear'},\n",
+      "                    'type': 'quantitative'}},\n",
+      " 'mark': 'bar'}\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": "\n<div id=\"altair-viz-4db93f1b4e984d7b94ea30da5525e286\"></div>\n<script type=\"text/javascript\">\n  var VEGA_DEBUG = (typeof VEGA_DEBUG == \"undefined\") ? {} : VEGA_DEBUG;\n  (function(spec, embedOpt){\n    let outputDiv = document.currentScript.previousElementSibling;\n    if (outputDiv.id !== \"altair-viz-4db93f1b4e984d7b94ea30da5525e286\") {\n      outputDiv = document.getElementById(\"altair-viz-4db93f1b4e984d7b94ea30da5525e286\");\n    }\n    const paths = {\n      \"vega\": \"https://cdn.jsdelivr.net/npm//vega@5?noext\",\n      \"vega-lib\": \"https://cdn.jsdelivr.net/npm//vega-lib?noext\",\n      \"vega-lite\": \"https://cdn.jsdelivr.net/npm//vega-lite@4.17.0?noext\",\n      \"vega-embed\": \"https://cdn.jsdelivr.net/npm//vega-embed@6?noext\",\n    };\n\n    function maybeLoadScript(lib, version) {\n      var key = `${lib.replace(\"-\", \"\")}_version`;\n      return (VEGA_DEBUG[key] == version) ?\n        Promise.resolve(paths[lib]) :\n        new Promise(function(resolve, reject) {\n          var s = document.createElement('script');\n          document.getElementsByTagName(\"head\")[0].appendChild(s);\n          s.async = true;\n          s.onload = () => {\n            VEGA_DEBUG[key] = version;\n            return resolve(paths[lib]);\n          };\n          s.onerror = () => reject(`Error loading script: ${paths[lib]}`);\n          s.src = paths[lib];\n        });\n    }\n\n    function showError(err) {\n      outputDiv.innerHTML = `<div class=\"error\" style=\"color:red;\">${err}</div>`;\n      throw err;\n    }\n\n    function displayChart(vegaEmbed) {\n      vegaEmbed(outputDiv, spec, embedOpt)\n        .catch(err => showError(`Javascript Error: ${err.message}<br>This usually means there's a typo in your chart specification. See the javascript console for the full traceback.`));\n    }\n\n    if(typeof define === \"function\" && define.amd) {\n      requirejs.config({paths});\n      require([\"vega-embed\"], displayChart, err => showError(`Error loading script: ${err.message}`));\n    } else {\n      maybeLoadScript(\"vega\", \"5\")\n        .then(() => maybeLoadScript(\"vega-lite\", \"4.17.0\"))\n        .then(() => maybeLoadScript(\"vega-embed\", \"6\"))\n        .catch(showError)\n        .then(() => displayChart(vegaEmbed));\n    }\n  })({\"config\": {\"view\": {\"continuousWidth\": 400, \"continuousHeight\": 300}}, \"data\": {\"name\": \"data-80b0e930866eee6a77413fd6e0890a78\"}, \"mark\": \"bar\", \"encoding\": {\"color\": {\"field\": \"condition\", \"type\": \"nominal\"}, \"x\": {\"aggregate\": \"count\", \"field\": \"temperature\", \"scale\": {\"type\": \"linear\", \"zero\": true}, \"stack\": \"normalize\", \"type\": \"quantitative\"}, \"y\": {\"bin\": {\"maxbins\": 10}, \"field\": \"temperature\", \"scale\": {\"type\": \"linear\"}, \"type\": \"quantitative\"}}, \"$schema\": \"https://vega.github.io/schema/vega-lite/v4.17.0.json\", \"datasets\": {\"data-80b0e930866eee6a77413fd6e0890a78\": [{\"temperature\": 39.357871877508494, \"wind\": 11.562263885182233, \"precipitation\": 88.42051387921796, \"condition\": \"fog\"}, {\"temperature\": -5.947154608637572, \"wind\": 86.90701738497849, \"precipitation\": 70.55832915444152, \"condition\": \"rain\"}, {\"temperature\": 32.82765627853655, \"wind\": 97.65897402212389, \"precipitation\": 82.65511533530304, \"condition\": \"sun\"}, {\"temperature\": 17.525999106231197, \"wind\": 65.52797477069528, \"precipitation\": 53.86256526101837, \"condition\": \"snow\"}, {\"temperature\": -6.80882656934652, \"wind\": 37.03429394195952, \"precipitation\": 93.86525481254682, \"condition\": \"drizzle\"}, {\"temperature\": 42.35997285539091, \"wind\": 72.00671240950793, \"precipitation\": 40.6587905336316, \"condition\": \"sun\"}, {\"temperature\": 12.236046428620227, \"wind\": 24.35537864304579, \"precipitation\": 83.89080965364893, \"condition\": \"sun\"}, {\"temperature\": 42.8103257781665, \"wind\": 29.81101459268268, \"precipitation\": 71.55020159752638, \"condition\": \"sun\"}, {\"temperature\": 22.54392113778252, \"wind\": 96.88264927669367, \"precipitation\": 57.21207145158276, \"condition\": \"rain\"}, {\"temperature\": 22.503608231529917, \"wind\": 73.45718441223443, \"precipitation\": 18.48099480479052, \"condition\": \"fog\"}, {\"temperature\": 20.697023061259923, \"wind\": 78.8085781529467, \"precipitation\": 82.06153728611223, \"condition\": \"drizzle\"}, {\"temperature\": 25.290109397291054, \"wind\": 80.30649374788099, \"precipitation\": 22.36608661432985, \"condition\": \"sun\"}, {\"temperature\": 38.2799313550365, \"wind\": 67.47085587574028, \"precipitation\": 20.740111999310816, \"condition\": \"snow\"}, {\"temperature\": 3.6725463468113624, \"wind\": 1.0115541087158841, \"precipitation\": 18.15771285571497, \"condition\": \"fog\"}, {\"temperature\": 43.05607594953013, \"wind\": 60.68482719845524, \"precipitation\": 57.77089873340201, \"condition\": \"drizzle\"}, {\"temperature\": 32.26702695541979, \"wind\": 51.25287908408247, \"precipitation\": 82.37499650298116, \"condition\": \"sun\"}, {\"temperature\": 20.65470025342109, \"wind\": 17.357994382399223, \"precipitation\": 61.85803419037972, \"condition\": \"snow\"}, {\"temperature\": 7.591958649416281, \"wind\": 56.87567133218157, \"precipitation\": 63.83705679953054, \"condition\": \"drizzle\"}, {\"temperature\": 34.12588295742098, \"wind\": 53.49706318356736, \"precipitation\": 39.89871505509641, \"condition\": \"drizzle\"}, {\"temperature\": 43.35047614485006, \"wind\": 25.611854852857896, \"precipitation\": 80.36992353488051, \"condition\": \"sun\"}, {\"temperature\": -0.6670916465821719, \"wind\": 85.48944217634627, \"precipitation\": 74.19603252504737, \"condition\": \"fog\"}, {\"temperature\": 27.71533514546813, \"wind\": 92.40258299219964, \"precipitation\": 35.46329445299181, \"condition\": \"sun\"}, {\"temperature\": 42.990310063528334, \"wind\": 4.767210553938305, \"precipitation\": 78.84896594785124, \"condition\": \"drizzle\"}, {\"temperature\": 12.78024257419457, \"wind\": 70.42789298007587, \"precipitation\": 32.19857853159736, \"condition\": \"rain\"}, {\"temperature\": 12.345464511586698, \"wind\": 96.37504245663669, \"precipitation\": 58.32326475918834, \"condition\": \"drizzle\"}, {\"temperature\": 16.615985139736694, \"wind\": 79.42654814203834, \"precipitation\": 13.002687080260278, \"condition\": \"drizzle\"}, {\"temperature\": 37.42489242698708, \"wind\": 61.345695045120095, \"precipitation\": 43.77564041090408, \"condition\": \"rain\"}, {\"temperature\": 4.4803758908315565, \"wind\": 49.77522034422004, \"precipitation\": 50.69600709811043, \"condition\": \"drizzle\"}, {\"temperature\": 24.097652039323982, \"wind\": 8.979384326640405, \"precipitation\": 30.641954593528485, \"condition\": \"sun\"}, {\"temperature\": -5.322217743871135, \"wind\": 61.189346843944705, \"precipitation\": 31.593229557269186, \"condition\": \"snow\"}, {\"temperature\": 9.656575236136984, \"wind\": 2.1373906951494104, \"precipitation\": 57.5465193225844, \"condition\": \"rain\"}, {\"temperature\": 23.09003214094531, \"wind\": 16.8504340533028, \"precipitation\": 49.38199137777561, \"condition\": \"snow\"}, {\"temperature\": -0.8910674950475652, \"wind\": 67.4372389241753, \"precipitation\": 44.01373586297284, \"condition\": \"drizzle\"}, {\"temperature\": 38.77628981797657, \"wind\": 19.349109733319814, \"precipitation\": 18.478064234157422, \"condition\": \"snow\"}, {\"temperature\": 3.4205075380082093, \"wind\": 27.407919047755026, \"precipitation\": 32.84745237938085, \"condition\": \"fog\"}, {\"temperature\": -5.033320662096024, \"wind\": 94.25698462447689, \"precipitation\": 43.460229120490254, \"condition\": \"fog\"}, {\"temperature\": -9.971237977814939, \"wind\": 93.98073112476098, \"precipitation\": 74.78247080628827, \"condition\": \"sun\"}, {\"temperature\": 14.882883965973484, \"wind\": 24.785612027523594, \"precipitation\": 51.19773747140527, \"condition\": \"drizzle\"}, {\"temperature\": 14.018034425277474, \"wind\": 91.62717881393021, \"precipitation\": 99.49522416477019, \"condition\": \"sun\"}, {\"temperature\": 31.305982604448104, \"wind\": 40.90373869893349, \"precipitation\": 74.89298496286528, \"condition\": \"rain\"}, {\"temperature\": 30.610723278623702, \"wind\": 42.06017669565571, \"precipitation\": 69.67703870061514, \"condition\": \"snow\"}, {\"temperature\": 34.74664418075527, \"wind\": 38.58462817605697, \"precipitation\": 67.82787083848606, \"condition\": \"sun\"}, {\"temperature\": 8.120514857460222, \"wind\": 98.79896637292207, \"precipitation\": 21.126567495900296, \"condition\": \"drizzle\"}, {\"temperature\": 21.830015183550092, \"wind\": 22.1211872838582, \"precipitation\": 79.23266981302642, \"condition\": \"fog\"}, {\"temperature\": 37.98236222048335, \"wind\": 3.9308035344873593, \"precipitation\": 14.592671850934291, \"condition\": \"rain\"}, {\"temperature\": 25.958872120055887, \"wind\": 30.880613774748145, \"precipitation\": 81.56963648865039, \"condition\": \"rain\"}, {\"temperature\": 35.17236224867325, \"wind\": 31.08177020391971, \"precipitation\": 24.18647666653794, \"condition\": \"rain\"}, {\"temperature\": 33.364342578760876, \"wind\": 2.9246595809319653, \"precipitation\": 12.15848602978733, \"condition\": \"fog\"}, {\"temperature\": -3.5902835942627487, \"wind\": 86.99227504041556, \"precipitation\": 2.3639517923128017, \"condition\": \"drizzle\"}, {\"temperature\": 43.53091004081406, \"wind\": 70.60869224087214, \"precipitation\": 66.94726954818158, \"condition\": \"rain\"}, {\"temperature\": 1.8337888199719252, \"wind\": 75.06866321814911, \"precipitation\": 53.6891397098117, \"condition\": \"sun\"}, {\"temperature\": 43.47830583880354, \"wind\": 71.68689230524836, \"precipitation\": 31.73117090776013, \"condition\": \"sun\"}, {\"temperature\": 24.70816388894937, \"wind\": 68.30107169120795, \"precipitation\": 20.50225020747416, \"condition\": \"snow\"}, {\"temperature\": 16.05118379980134, \"wind\": 52.99782792799144, \"precipitation\": 11.69028728553364, \"condition\": \"fog\"}, {\"temperature\": 28.077076050276126, \"wind\": 24.843732657120764, \"precipitation\": 7.7565838958533195, \"condition\": \"fog\"}, {\"temperature\": 26.313211105376084, \"wind\": 45.03333651941402, \"precipitation\": 31.41227095201218, \"condition\": \"fog\"}, {\"temperature\": 25.47932407524442, \"wind\": 87.21604759710651, \"precipitation\": 13.96847689136137, \"condition\": \"snow\"}, {\"temperature\": 11.036706749946731, \"wind\": 33.86229598446234, \"precipitation\": 38.968294579117845, \"condition\": \"rain\"}, {\"temperature\": 0.8142265953456, \"wind\": 70.98507415296346, \"precipitation\": 19.273374312321256, \"condition\": \"drizzle\"}, {\"temperature\": 25.391354725358426, 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\"fog\"}, {\"temperature\": 28.248344335114005, \"wind\": 74.65204013977382, \"precipitation\": 8.992377726473755, \"condition\": \"drizzle\"}, {\"temperature\": 40.71245089747694, \"wind\": 60.52030820865206, \"precipitation\": 5.486289017174572, \"condition\": \"rain\"}, {\"temperature\": 1.2855687063133647, \"wind\": 47.74453362846665, \"precipitation\": 77.71039918592594, \"condition\": \"drizzle\"}, {\"temperature\": 13.997864573343104, \"wind\": 99.2063323267444, \"precipitation\": 14.897152160823302, \"condition\": \"drizzle\"}, {\"temperature\": 18.825549046465813, \"wind\": 96.7516586164724, \"precipitation\": 62.15480712924485, \"condition\": \"rain\"}, {\"temperature\": 17.102600135203243, \"wind\": 95.33201102579268, \"precipitation\": 1.76947633335095, \"condition\": \"rain\"}, {\"temperature\": 31.603226292108516, \"wind\": 80.1260277875885, \"precipitation\": 19.250819441340848, \"condition\": \"drizzle\"}, {\"temperature\": 7.272202684808242, \"wind\": 8.416568701596594, \"precipitation\": 24.486546883662086, \"condition\": \"drizzle\"}, {\"temperature\": 6.42450547762995, \"wind\": 39.273237823513206, \"precipitation\": 59.175511527387584, \"condition\": \"sun\"}, {\"temperature\": 0.37651709537109035, \"wind\": 94.77902759827063, \"precipitation\": 28.64474524803353, \"condition\": \"fog\"}, {\"temperature\": 29.418237348870328, \"wind\": 73.1637224142291, \"precipitation\": 36.384371127988594, \"condition\": \"fog\"}, {\"temperature\": 32.58410407316762, \"wind\": 23.572673866731876, \"precipitation\": 21.78686177609982, \"condition\": \"sun\"}, {\"temperature\": 40.58331555194774, \"wind\": 12.46579946692835, \"precipitation\": 33.052715046353775, \"condition\": \"fog\"}, {\"temperature\": 15.02270799243955, \"wind\": 23.521353082533057, \"precipitation\": 0.5866372551906918, \"condition\": \"rain\"}, {\"temperature\": -1.5856356202583797, \"wind\": 58.706439422107415, \"precipitation\": 23.69625533115679, \"condition\": \"fog\"}, {\"temperature\": 39.83846166807995, \"wind\": 7.925060993257304, \"precipitation\": 73.27745598517468, \"condition\": \"snow\"}, {\"temperature\": 30.25106478610541, \"wind\": 53.60474576386106, \"precipitation\": 76.63592895791527, \"condition\": \"sun\"}, {\"temperature\": 12.08528607254729, \"wind\": 11.679210728025568, \"precipitation\": 21.30987094861694, \"condition\": \"drizzle\"}, {\"temperature\": 20.103305307522167, \"wind\": 35.51132614216856, \"precipitation\": 99.11641742479553, \"condition\": \"snow\"}, {\"temperature\": 34.61293495454381, \"wind\": 16.44814913694985, \"precipitation\": 76.5788070641912, \"condition\": \"sun\"}, {\"temperature\": 5.3304368864748515, \"wind\": 11.488543420187414, \"precipitation\": 23.611522242446682, \"condition\": \"rain\"}, {\"temperature\": 10.624231316087673, \"wind\": 89.57677208906625, \"precipitation\": 17.901521820239154, \"condition\": \"rain\"}, {\"temperature\": 16.45869339879156, \"wind\": 82.14358903068431, \"precipitation\": 50.5274648107178, \"condition\": \"drizzle\"}, {\"temperature\": 30.4859555666389, \"wind\": 85.43429025210673, \"precipitation\": 99.7314407177562, \"condition\": \"sun\"}, {\"temperature\": -7.842697704519862, \"wind\": 20.10431994181, \"precipitation\": 8.499755604198123, \"condition\": \"drizzle\"}, {\"temperature\": 23.82197430970396, \"wind\": 30.71236264475776, \"precipitation\": 91.23232368725205, \"condition\": \"snow\"}, {\"temperature\": 43.63862559514364, \"wind\": 28.821660476932877, \"precipitation\": 99.71103207097889, \"condition\": \"fog\"}, {\"temperature\": 8.981532662882305, \"wind\": 35.921027372850865, \"precipitation\": 91.12082810014113, \"condition\": \"fog\"}, {\"temperature\": 26.077729266653087, \"wind\": 63.53612288999908, \"precipitation\": 90.09748712912719, \"condition\": \"sun\"}, {\"temperature\": 38.44181274295784, \"wind\": 71.99143401846956, \"precipitation\": 21.221688878355216, \"condition\": \"rain\"}, {\"temperature\": 34.78710550916185, \"wind\": 89.27467266301889, \"precipitation\": 41.1955282025937, \"condition\": \"sun\"}, {\"temperature\": -5.848035132361012, \"wind\": 57.23792962073, \"precipitation\": 64.23162970775795, \"condition\": \"rain\"}, {\"temperature\": 0.6933169720006127, \"wind\": 72.76756692493736, \"precipitation\": 62.223235261304524, \"condition\": \"drizzle\"}]}}, {\"mode\": \"vega-lite\"});\n</script>",
+      "text/plain": "alt.Chart(...)"
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "base = alt.Chart(df)\n",
+    "bar = base.mark_bar().encode(\n",
+    "    x=alt.X(field='temperature', \n",
+    "            type='quantitative', \n",
+    "            aggregate='count', \n",
+    "            stack='normalize',\n",
+    "            scale=alt.Scale(type='linear', zero=True)),\n",
+    "    y=alt.Y(field='temperature', \n",
+    "            type='quantitative',\n",
+    "            bin=alt.Bin(maxbins=10),\n",
+    "            scale=alt.Scale(type='linear')),\n",
+    "    color=alt.Color(field='condition', type='nominal')\n",
+    ")\n",
+    "display_chart(bar)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Multi Mark (Layered) Charts"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Bar with a Tick"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 69,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "{'field': [{'name': 'temperature', 'type': 'number'}],\n",
+      " 'number_rows': 100,\n",
+      " 'view': [{'mark': [{'encoding': [{'aggregate': 'mean',\n",
+      "                                   'channel': 'x',\n",
+      "                                   'field': 'temperature'}],\n",
+      "                     'type': 'bar'},\n",
+      "                    {'encoding': [{'channel': 'x', 'field': 'temperature'}],\n",
+      "                     'type': 'tick'}],\n",
+      "           'scale': [{'channel': 'x', 'type': 'linear', 'zero': 'true'}]}]}\n"
+     ]
+    }
+   ],
+   "source": [
+    "facts = ['attribute(number_rows,root,100).',\n",
+    " 'entity(field,root,temperature).',\n",
+    " 'attribute((field,name),temperature,temperature).',\n",
+    " 'attribute((field,type),temperature,number).',\n",
+    " 'entity(view,root,0).',\n",
+    " 'entity(mark,0,1).',\n",
+    " 'attribute((mark,type),1,bar).',\n",
+    " 'entity(encoding,1,2).',\n",
+    " 'attribute((encoding,channel),2,x).',\n",
+    " 'attribute((encoding,aggregate),2,mean).',\n",
+    " 'attribute((encoding,field),2,temperature).',\n",
+    " 'entity(mark,0,3).',\n",
+    " 'attribute((mark,type),3,tick).',\n",
+    " 'entity(encoding,3,4).',\n",
+    " 'attribute((encoding,channel),4,x).',\n",
+    " 'attribute((encoding,field),4,temperature).',\n",
+    " 'entity(scale,0,5).',\n",
+    " 'attribute((scale,channel),5,x).',\n",
+    " 'attribute((scale,type),5,linear).',\n",
+    " 'attribute((scale,zero),5,true).']\n",
+    "spec = facts_to_dict(facts)\n",
+    "pprint(spec)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 70,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "{'$schema': 'https://vega.github.io/schema/vega-lite/v4.17.0.json',\n",
+      " 'config': {'view': {'continuousHeight': 300, 'continuousWidth': 400}},\n",
+      " 'layer': [{'encoding': {'x': {'aggregate': 'mean',\n",
+      "                               'field': 'temperature',\n",
+      "                               'scale': {'type': 'linear', 'zero': True},\n",
+      "                               'type': 'quantitative'}},\n",
+      "            'mark': 'bar'},\n",
+      "           {'encoding': {'x': {'field': 'temperature',\n",
+      "                               'scale': {'type': 'linear', 'zero': True},\n",
+      "                               'type': 'quantitative'}},\n",
+      "            'mark': 'tick'}]}\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": "\n<div id=\"altair-viz-9988861d86de4d9fb90604fcc0ca7ffc\"></div>\n<script type=\"text/javascript\">\n  var VEGA_DEBUG = (typeof VEGA_DEBUG == \"undefined\") ? {} : VEGA_DEBUG;\n  (function(spec, embedOpt){\n    let outputDiv = document.currentScript.previousElementSibling;\n    if (outputDiv.id !== \"altair-viz-9988861d86de4d9fb90604fcc0ca7ffc\") {\n      outputDiv = document.getElementById(\"altair-viz-9988861d86de4d9fb90604fcc0ca7ffc\");\n    }\n    const paths = {\n      \"vega\": \"https://cdn.jsdelivr.net/npm//vega@5?noext\",\n      \"vega-lib\": \"https://cdn.jsdelivr.net/npm//vega-lib?noext\",\n      \"vega-lite\": \"https://cdn.jsdelivr.net/npm//vega-lite@4.17.0?noext\",\n      \"vega-embed\": \"https://cdn.jsdelivr.net/npm//vega-embed@6?noext\",\n    };\n\n    function maybeLoadScript(lib, version) {\n      var key = `${lib.replace(\"-\", \"\")}_version`;\n      return (VEGA_DEBUG[key] == version) ?\n        Promise.resolve(paths[lib]) :\n        new Promise(function(resolve, reject) {\n          var s = document.createElement('script');\n          document.getElementsByTagName(\"head\")[0].appendChild(s);\n          s.async = true;\n          s.onload = () => {\n            VEGA_DEBUG[key] = version;\n            return resolve(paths[lib]);\n          };\n          s.onerror = () => reject(`Error loading script: ${paths[lib]}`);\n          s.src = paths[lib];\n        });\n    }\n\n    function showError(err) {\n      outputDiv.innerHTML = `<div class=\"error\" style=\"color:red;\">${err}</div>`;\n      throw err;\n    }\n\n    function displayChart(vegaEmbed) {\n      vegaEmbed(outputDiv, spec, embedOpt)\n        .catch(err => showError(`Javascript Error: ${err.message}<br>This usually means there's a typo in your chart specification. See the javascript console for the full traceback.`));\n    }\n\n    if(typeof define === \"function\" && define.amd) {\n      requirejs.config({paths});\n      require([\"vega-embed\"], displayChart, err => showError(`Error loading script: ${err.message}`));\n    } else {\n      maybeLoadScript(\"vega\", \"5\")\n        .then(() => maybeLoadScript(\"vega-lite\", \"4.17.0\"))\n        .then(() => maybeLoadScript(\"vega-embed\", \"6\"))\n        .catch(showError)\n        .then(() => displayChart(vegaEmbed));\n    }\n  })({\"config\": {\"view\": {\"continuousWidth\": 400, \"continuousHeight\": 300}}, \"layer\": [{\"mark\": \"bar\", \"encoding\": {\"x\": {\"aggregate\": \"mean\", \"field\": \"temperature\", \"scale\": {\"type\": \"linear\", \"zero\": true}, \"type\": \"quantitative\"}}}, {\"mark\": \"tick\", \"encoding\": {\"x\": {\"field\": \"temperature\", \"scale\": {\"type\": \"linear\", \"zero\": true}, \"type\": \"quantitative\"}}}], \"data\": {\"name\": \"data-80b0e930866eee6a77413fd6e0890a78\"}, \"$schema\": \"https://vega.github.io/schema/vega-lite/v4.17.0.json\", \"datasets\": {\"data-80b0e930866eee6a77413fd6e0890a78\": [{\"temperature\": 39.357871877508494, \"wind\": 11.562263885182233, \"precipitation\": 88.42051387921796, \"condition\": \"fog\"}, {\"temperature\": -5.947154608637572, \"wind\": 86.90701738497849, \"precipitation\": 70.55832915444152, \"condition\": \"rain\"}, {\"temperature\": 32.82765627853655, \"wind\": 97.65897402212389, \"precipitation\": 82.65511533530304, \"condition\": \"sun\"}, {\"temperature\": 17.525999106231197, \"wind\": 65.52797477069528, \"precipitation\": 53.86256526101837, \"condition\": \"snow\"}, {\"temperature\": -6.80882656934652, \"wind\": 37.03429394195952, \"precipitation\": 93.86525481254682, \"condition\": \"drizzle\"}, {\"temperature\": 42.35997285539091, \"wind\": 72.00671240950793, \"precipitation\": 40.6587905336316, \"condition\": \"sun\"}, {\"temperature\": 12.236046428620227, \"wind\": 24.35537864304579, \"precipitation\": 83.89080965364893, \"condition\": \"sun\"}, {\"temperature\": 42.8103257781665, \"wind\": 29.81101459268268, \"precipitation\": 71.55020159752638, \"condition\": \"sun\"}, {\"temperature\": 22.54392113778252, \"wind\": 96.88264927669367, \"precipitation\": 57.21207145158276, \"condition\": \"rain\"}, {\"temperature\": 22.503608231529917, \"wind\": 73.45718441223443, \"precipitation\": 18.48099480479052, \"condition\": \"fog\"}, {\"temperature\": 20.697023061259923, \"wind\": 78.8085781529467, \"precipitation\": 82.06153728611223, \"condition\": \"drizzle\"}, {\"temperature\": 25.290109397291054, \"wind\": 80.30649374788099, \"precipitation\": 22.36608661432985, \"condition\": \"sun\"}, {\"temperature\": 38.2799313550365, \"wind\": 67.47085587574028, \"precipitation\": 20.740111999310816, \"condition\": \"snow\"}, {\"temperature\": 3.6725463468113624, \"wind\": 1.0115541087158841, \"precipitation\": 18.15771285571497, \"condition\": \"fog\"}, {\"temperature\": 43.05607594953013, \"wind\": 60.68482719845524, \"precipitation\": 57.77089873340201, \"condition\": \"drizzle\"}, {\"temperature\": 32.26702695541979, \"wind\": 51.25287908408247, \"precipitation\": 82.37499650298116, \"condition\": \"sun\"}, {\"temperature\": 20.65470025342109, \"wind\": 17.357994382399223, \"precipitation\": 61.85803419037972, \"condition\": \"snow\"}, {\"temperature\": 7.591958649416281, \"wind\": 56.87567133218157, \"precipitation\": 63.83705679953054, \"condition\": \"drizzle\"}, {\"temperature\": 34.12588295742098, \"wind\": 53.49706318356736, \"precipitation\": 39.89871505509641, \"condition\": \"drizzle\"}, {\"temperature\": 43.35047614485006, \"wind\": 25.611854852857896, \"precipitation\": 80.36992353488051, \"condition\": \"sun\"}, {\"temperature\": -0.6670916465821719, \"wind\": 85.48944217634627, \"precipitation\": 74.19603252504737, \"condition\": \"fog\"}, {\"temperature\": 27.71533514546813, \"wind\": 92.40258299219964, \"precipitation\": 35.46329445299181, \"condition\": \"sun\"}, {\"temperature\": 42.990310063528334, \"wind\": 4.767210553938305, \"precipitation\": 78.84896594785124, \"condition\": \"drizzle\"}, {\"temperature\": 12.78024257419457, \"wind\": 70.42789298007587, \"precipitation\": 32.19857853159736, \"condition\": \"rain\"}, {\"temperature\": 12.345464511586698, \"wind\": 96.37504245663669, \"precipitation\": 58.32326475918834, \"condition\": \"drizzle\"}, {\"temperature\": 16.615985139736694, \"wind\": 79.42654814203834, \"precipitation\": 13.002687080260278, \"condition\": \"drizzle\"}, {\"temperature\": 37.42489242698708, \"wind\": 61.345695045120095, \"precipitation\": 43.77564041090408, \"condition\": \"rain\"}, {\"temperature\": 4.4803758908315565, \"wind\": 49.77522034422004, \"precipitation\": 50.69600709811043, \"condition\": \"drizzle\"}, {\"temperature\": 24.097652039323982, \"wind\": 8.979384326640405, \"precipitation\": 30.641954593528485, \"condition\": \"sun\"}, {\"temperature\": -5.322217743871135, \"wind\": 61.189346843944705, \"precipitation\": 31.593229557269186, \"condition\": \"snow\"}, {\"temperature\": 9.656575236136984, \"wind\": 2.1373906951494104, \"precipitation\": 57.5465193225844, \"condition\": \"rain\"}, {\"temperature\": 23.09003214094531, \"wind\": 16.8504340533028, \"precipitation\": 49.38199137777561, \"condition\": \"snow\"}, {\"temperature\": -0.8910674950475652, \"wind\": 67.4372389241753, \"precipitation\": 44.01373586297284, \"condition\": \"drizzle\"}, {\"temperature\": 38.77628981797657, \"wind\": 19.349109733319814, \"precipitation\": 18.478064234157422, \"condition\": \"snow\"}, {\"temperature\": 3.4205075380082093, \"wind\": 27.407919047755026, \"precipitation\": 32.84745237938085, \"condition\": \"fog\"}, {\"temperature\": -5.033320662096024, \"wind\": 94.25698462447689, \"precipitation\": 43.460229120490254, \"condition\": \"fog\"}, {\"temperature\": -9.971237977814939, \"wind\": 93.98073112476098, \"precipitation\": 74.78247080628827, \"condition\": \"sun\"}, {\"temperature\": 14.882883965973484, \"wind\": 24.785612027523594, \"precipitation\": 51.19773747140527, \"condition\": \"drizzle\"}, {\"temperature\": 14.018034425277474, \"wind\": 91.62717881393021, \"precipitation\": 99.49522416477019, \"condition\": \"sun\"}, {\"temperature\": 31.305982604448104, \"wind\": 40.90373869893349, \"precipitation\": 74.89298496286528, \"condition\": \"rain\"}, {\"temperature\": 30.610723278623702, \"wind\": 42.06017669565571, \"precipitation\": 69.67703870061514, \"condition\": \"snow\"}, {\"temperature\": 34.74664418075527, \"wind\": 38.58462817605697, \"precipitation\": 67.82787083848606, \"condition\": \"sun\"}, {\"temperature\": 8.120514857460222, \"wind\": 98.79896637292207, \"precipitation\": 21.126567495900296, \"condition\": \"drizzle\"}, {\"temperature\": 21.830015183550092, \"wind\": 22.1211872838582, \"precipitation\": 79.23266981302642, \"condition\": \"fog\"}, {\"temperature\": 37.98236222048335, \"wind\": 3.9308035344873593, \"precipitation\": 14.592671850934291, \"condition\": \"rain\"}, {\"temperature\": 25.958872120055887, \"wind\": 30.880613774748145, \"precipitation\": 81.56963648865039, \"condition\": \"rain\"}, {\"temperature\": 35.17236224867325, \"wind\": 31.08177020391971, \"precipitation\": 24.18647666653794, \"condition\": \"rain\"}, {\"temperature\": 33.364342578760876, \"wind\": 2.9246595809319653, \"precipitation\": 12.15848602978733, \"condition\": \"fog\"}, {\"temperature\": -3.5902835942627487, \"wind\": 86.99227504041556, \"precipitation\": 2.3639517923128017, \"condition\": \"drizzle\"}, {\"temperature\": 43.53091004081406, \"wind\": 70.60869224087214, \"precipitation\": 66.94726954818158, \"condition\": \"rain\"}, {\"temperature\": 1.8337888199719252, \"wind\": 75.06866321814911, \"precipitation\": 53.6891397098117, \"condition\": \"sun\"}, {\"temperature\": 43.47830583880354, \"wind\": 71.68689230524836, \"precipitation\": 31.73117090776013, \"condition\": \"sun\"}, {\"temperature\": 24.70816388894937, \"wind\": 68.30107169120795, \"precipitation\": 20.50225020747416, \"condition\": \"snow\"}, {\"temperature\": 16.05118379980134, \"wind\": 52.99782792799144, \"precipitation\": 11.69028728553364, \"condition\": \"fog\"}, {\"temperature\": 28.077076050276126, \"wind\": 24.843732657120764, \"precipitation\": 7.7565838958533195, \"condition\": \"fog\"}, {\"temperature\": 26.313211105376084, \"wind\": 45.03333651941402, \"precipitation\": 31.41227095201218, \"condition\": \"fog\"}, {\"temperature\": 25.47932407524442, \"wind\": 87.21604759710651, \"precipitation\": 13.96847689136137, \"condition\": \"snow\"}, {\"temperature\": 11.036706749946731, \"wind\": 33.86229598446234, \"precipitation\": 38.968294579117845, \"condition\": \"rain\"}, {\"temperature\": 0.8142265953456, \"wind\": 70.98507415296346, \"precipitation\": 19.273374312321256, \"condition\": \"drizzle\"}, {\"temperature\": 25.391354725358426, \"wind\": 68.9460480155243, \"precipitation\": 93.11546643206357, \"condition\": \"fog\"}, {\"temperature\": 27.7726958317102, \"wind\": 15.439482065514532, \"precipitation\": 5.293937143885552, \"condition\": \"sun\"}, {\"temperature\": 3.0547946822445873, \"wind\": 86.42755659056152, \"precipitation\": 2.624712873155066, \"condition\": \"rain\"}, {\"temperature\": 39.42369527658811, \"wind\": 47.39700920935881, \"precipitation\": 41.728060203985706, \"condition\": \"rain\"}, {\"temperature\": 31.616549252691705, \"wind\": 31.294073920356126, \"precipitation\": 61.66414511625905, \"condition\": \"snow\"}, {\"temperature\": 37.73472491414072, \"wind\": 56.11305268794269, \"precipitation\": 81.92111265208045, \"condition\": \"fog\"}, {\"temperature\": 29.412459474532355, \"wind\": 46.76189099995182, \"precipitation\": 32.17901910781431, \"condition\": \"snow\"}, {\"temperature\": -5.305474080741154, \"wind\": 16.51061166938045, \"precipitation\": 40.72674907868328, \"condition\": \"fog\"}, {\"temperature\": 28.248344335114005, \"wind\": 74.65204013977382, \"precipitation\": 8.992377726473755, \"condition\": \"drizzle\"}, {\"temperature\": 40.71245089747694, \"wind\": 60.52030820865206, \"precipitation\": 5.486289017174572, \"condition\": \"rain\"}, {\"temperature\": 1.2855687063133647, \"wind\": 47.74453362846665, \"precipitation\": 77.71039918592594, \"condition\": \"drizzle\"}, {\"temperature\": 13.997864573343104, \"wind\": 99.2063323267444, \"precipitation\": 14.897152160823302, \"condition\": \"drizzle\"}, {\"temperature\": 18.825549046465813, \"wind\": 96.7516586164724, \"precipitation\": 62.15480712924485, \"condition\": \"rain\"}, {\"temperature\": 17.102600135203243, \"wind\": 95.33201102579268, \"precipitation\": 1.76947633335095, \"condition\": \"rain\"}, {\"temperature\": 31.603226292108516, \"wind\": 80.1260277875885, \"precipitation\": 19.250819441340848, \"condition\": \"drizzle\"}, {\"temperature\": 7.272202684808242, \"wind\": 8.416568701596594, \"precipitation\": 24.486546883662086, \"condition\": \"drizzle\"}, {\"temperature\": 6.42450547762995, \"wind\": 39.273237823513206, \"precipitation\": 59.175511527387584, \"condition\": \"sun\"}, {\"temperature\": 0.37651709537109035, \"wind\": 94.77902759827063, \"precipitation\": 28.64474524803353, \"condition\": \"fog\"}, {\"temperature\": 29.418237348870328, \"wind\": 73.1637224142291, \"precipitation\": 36.384371127988594, \"condition\": \"fog\"}, {\"temperature\": 32.58410407316762, \"wind\": 23.572673866731876, \"precipitation\": 21.78686177609982, \"condition\": \"sun\"}, {\"temperature\": 40.58331555194774, \"wind\": 12.46579946692835, \"precipitation\": 33.052715046353775, \"condition\": \"fog\"}, {\"temperature\": 15.02270799243955, \"wind\": 23.521353082533057, \"precipitation\": 0.5866372551906918, \"condition\": \"rain\"}, {\"temperature\": -1.5856356202583797, \"wind\": 58.706439422107415, \"precipitation\": 23.69625533115679, \"condition\": \"fog\"}, {\"temperature\": 39.83846166807995, \"wind\": 7.925060993257304, \"precipitation\": 73.27745598517468, \"condition\": \"snow\"}, {\"temperature\": 30.25106478610541, \"wind\": 53.60474576386106, \"precipitation\": 76.63592895791527, \"condition\": \"sun\"}, {\"temperature\": 12.08528607254729, \"wind\": 11.679210728025568, \"precipitation\": 21.30987094861694, \"condition\": \"drizzle\"}, {\"temperature\": 20.103305307522167, \"wind\": 35.51132614216856, \"precipitation\": 99.11641742479553, \"condition\": \"snow\"}, {\"temperature\": 34.61293495454381, \"wind\": 16.44814913694985, \"precipitation\": 76.5788070641912, \"condition\": \"sun\"}, {\"temperature\": 5.3304368864748515, \"wind\": 11.488543420187414, \"precipitation\": 23.611522242446682, \"condition\": \"rain\"}, {\"temperature\": 10.624231316087673, \"wind\": 89.57677208906625, \"precipitation\": 17.901521820239154, \"condition\": \"rain\"}, {\"temperature\": 16.45869339879156, \"wind\": 82.14358903068431, \"precipitation\": 50.5274648107178, \"condition\": \"drizzle\"}, {\"temperature\": 30.4859555666389, \"wind\": 85.43429025210673, \"precipitation\": 99.7314407177562, \"condition\": \"sun\"}, {\"temperature\": -7.842697704519862, \"wind\": 20.10431994181, \"precipitation\": 8.499755604198123, \"condition\": \"drizzle\"}, {\"temperature\": 23.82197430970396, \"wind\": 30.71236264475776, \"precipitation\": 91.23232368725205, \"condition\": \"snow\"}, {\"temperature\": 43.63862559514364, \"wind\": 28.821660476932877, \"precipitation\": 99.71103207097889, \"condition\": \"fog\"}, {\"temperature\": 8.981532662882305, \"wind\": 35.921027372850865, \"precipitation\": 91.12082810014113, \"condition\": \"fog\"}, {\"temperature\": 26.077729266653087, \"wind\": 63.53612288999908, \"precipitation\": 90.09748712912719, \"condition\": \"sun\"}, {\"temperature\": 38.44181274295784, \"wind\": 71.99143401846956, \"precipitation\": 21.221688878355216, \"condition\": \"rain\"}, {\"temperature\": 34.78710550916185, \"wind\": 89.27467266301889, \"precipitation\": 41.1955282025937, \"condition\": \"sun\"}, {\"temperature\": -5.848035132361012, \"wind\": 57.23792962073, \"precipitation\": 64.23162970775795, \"condition\": \"rain\"}, {\"temperature\": 0.6933169720006127, \"wind\": 72.76756692493736, \"precipitation\": 62.223235261304524, \"condition\": \"drizzle\"}]}}, {\"mode\": \"vega-lite\"});\n</script>",
+      "text/plain": "alt.LayerChart(...)"
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "base = alt.Chart(df)\n",
+    "bar = base.mark_bar().encode(\n",
+    "    x=alt.X(field='temperature', \n",
+    "            type='quantitative',\n",
+    "            aggregate='mean',\n",
+    "            scale=alt.Scale(type='linear', zero=True)),\n",
+    ")\n",
+    "tick = base.mark_tick().encode(\n",
+    "    x=alt.X(field='temperature', \n",
+    "            type='quantitative',\n",
+    "            scale=alt.Scale(type='linear', zero=True)),\n",
+    ")\n",
+    "display_chart(bar + tick)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Facets"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Facet Scatterplot into Columns"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 71,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "{'field': [{'name': 'temperature', 'type': 'number'},\n",
+      "           {'name': 'wind', 'type': 'number'},\n",
+      "           {'name': 'condition', 'type': 'string'}],\n",
+      " 'number_rows': 100,\n",
+      " 'view': [{'facet': [{'channel': 'col', 'field': 'condition'}],\n",
+      "           'mark': [{'encoding': [{'channel': 'x', 'field': 'temperature'},\n",
+      "                                  {'channel': 'y', 'field': 'wind'}],\n",
+      "                     'type': 'point'}],\n",
+      "           'scale': [{'channel': 'x', 'type': 'linear'},\n",
+      "                     {'channel': 'y', 'type': 'linear'}]}]}\n"
+     ]
+    }
+   ],
+   "source": [
+    "facts = ['attribute(number_rows,root,100).',\n",
+    " 'entity(field,root,temperature).',\n",
+    " 'attribute((field,name),temperature,temperature).',\n",
+    " 'attribute((field,type),temperature,number).',\n",
+    " 'entity(field,root,wind).',\n",
+    " 'attribute((field,name),wind,wind).',\n",
+    " 'attribute((field,type),wind,number).',\n",
+    " 'entity(field,root,condition).',\n",
+    " 'attribute((field,name),condition,condition).',\n",
+    " 'attribute((field,type),condition,string).',\n",
+    " 'entity(view,root,0).',\n",
+    " 'entity(mark,0,1).',\n",
+    " 'attribute((mark,type),1,point).',\n",
+    " 'entity(encoding,1,2).',\n",
+    " 'attribute((encoding,channel),2,x).',\n",
+    " 'attribute((encoding,field),2,temperature).',\n",
+    " 'entity(encoding,1,3).',\n",
+    " 'attribute((encoding,channel),3,y).',\n",
+    " 'attribute((encoding,field),3,wind).',\n",
+    " 'entity(scale,0,4).',\n",
+    " 'attribute((scale,channel),4,x).',\n",
+    " 'attribute((scale,type),4,linear).',\n",
+    " 'entity(scale,0,5).',\n",
+    " 'attribute((scale,channel),5,y).',\n",
+    " 'attribute((scale,type),5,linear).',\n",
+    " 'entity(facet,0,6).',\n",
+    " 'attribute((facet,channel),6,col).',\n",
+    " 'attribute((facet,field),6,condition).']\n",
+    "spec = facts_to_dict(facts)\n",
+    "pprint(spec)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 72,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "{'$schema': 'https://vega.github.io/schema/vega-lite/v4.17.0.json',\n",
+      " 'config': {'view': {'continuousHeight': 300, 'continuousWidth': 400}},\n",
+      " 'facet': {'column': {'field': 'condition', 'type': 'nominal'}},\n",
+      " 'spec': {'encoding': {'x': {'field': 'temperature', 'type': 'quantitative'},\n",
+      "                       'y': {'field': 'wind', 'type': 'quantitative'}},\n",
+      "          'mark': 'point'}}\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": "\n<div id=\"altair-viz-288885f34b724d13ab7a97a75e9df585\"></div>\n<script type=\"text/javascript\">\n  var VEGA_DEBUG = (typeof VEGA_DEBUG == \"undefined\") ? {} : VEGA_DEBUG;\n  (function(spec, embedOpt){\n    let outputDiv = document.currentScript.previousElementSibling;\n    if (outputDiv.id !== \"altair-viz-288885f34b724d13ab7a97a75e9df585\") {\n      outputDiv = document.getElementById(\"altair-viz-288885f34b724d13ab7a97a75e9df585\");\n    }\n    const paths = {\n      \"vega\": \"https://cdn.jsdelivr.net/npm//vega@5?noext\",\n      \"vega-lib\": \"https://cdn.jsdelivr.net/npm//vega-lib?noext\",\n      \"vega-lite\": \"https://cdn.jsdelivr.net/npm//vega-lite@4.17.0?noext\",\n      \"vega-embed\": \"https://cdn.jsdelivr.net/npm//vega-embed@6?noext\",\n    };\n\n    function maybeLoadScript(lib, version) {\n      var key = `${lib.replace(\"-\", \"\")}_version`;\n      return (VEGA_DEBUG[key] == version) ?\n        Promise.resolve(paths[lib]) :\n        new Promise(function(resolve, reject) {\n          var s = document.createElement('script');\n          document.getElementsByTagName(\"head\")[0].appendChild(s);\n          s.async = true;\n          s.onload = () => {\n            VEGA_DEBUG[key] = version;\n            return resolve(paths[lib]);\n          };\n          s.onerror = () => reject(`Error loading script: ${paths[lib]}`);\n          s.src = paths[lib];\n        });\n    }\n\n    function showError(err) {\n      outputDiv.innerHTML = `<div class=\"error\" style=\"color:red;\">${err}</div>`;\n      throw err;\n    }\n\n    function displayChart(vegaEmbed) {\n      vegaEmbed(outputDiv, spec, embedOpt)\n        .catch(err => showError(`Javascript Error: ${err.message}<br>This usually means there's a typo in your chart specification. See the javascript console for the full traceback.`));\n    }\n\n    if(typeof define === \"function\" && define.amd) {\n      requirejs.config({paths});\n      require([\"vega-embed\"], displayChart, err => showError(`Error loading script: ${err.message}`));\n    } else {\n      maybeLoadScript(\"vega\", \"5\")\n        .then(() => maybeLoadScript(\"vega-lite\", \"4.17.0\"))\n        .then(() => maybeLoadScript(\"vega-embed\", \"6\"))\n        .catch(showError)\n        .then(() => displayChart(vegaEmbed));\n    }\n  })({\"config\": {\"view\": {\"continuousWidth\": 400, \"continuousHeight\": 300}}, \"data\": {\"name\": \"data-80b0e930866eee6a77413fd6e0890a78\"}, \"facet\": {\"column\": {\"field\": \"condition\", \"type\": \"nominal\"}}, \"spec\": {\"mark\": \"point\", \"encoding\": {\"x\": {\"field\": \"temperature\", \"type\": \"quantitative\"}, \"y\": {\"field\": \"wind\", \"type\": \"quantitative\"}}}, \"$schema\": \"https://vega.github.io/schema/vega-lite/v4.17.0.json\", \"datasets\": {\"data-80b0e930866eee6a77413fd6e0890a78\": [{\"temperature\": 39.357871877508494, \"wind\": 11.562263885182233, \"precipitation\": 88.42051387921796, \"condition\": \"fog\"}, {\"temperature\": -5.947154608637572, \"wind\": 86.90701738497849, \"precipitation\": 70.55832915444152, \"condition\": \"rain\"}, {\"temperature\": 32.82765627853655, \"wind\": 97.65897402212389, \"precipitation\": 82.65511533530304, \"condition\": \"sun\"}, {\"temperature\": 17.525999106231197, \"wind\": 65.52797477069528, \"precipitation\": 53.86256526101837, \"condition\": \"snow\"}, {\"temperature\": -6.80882656934652, \"wind\": 37.03429394195952, \"precipitation\": 93.86525481254682, \"condition\": \"drizzle\"}, {\"temperature\": 42.35997285539091, \"wind\": 72.00671240950793, \"precipitation\": 40.6587905336316, \"condition\": \"sun\"}, {\"temperature\": 12.236046428620227, \"wind\": 24.35537864304579, \"precipitation\": 83.89080965364893, \"condition\": \"sun\"}, {\"temperature\": 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24.785612027523594, \"precipitation\": 51.19773747140527, \"condition\": \"drizzle\"}, {\"temperature\": 14.018034425277474, \"wind\": 91.62717881393021, \"precipitation\": 99.49522416477019, \"condition\": \"sun\"}, {\"temperature\": 31.305982604448104, \"wind\": 40.90373869893349, \"precipitation\": 74.89298496286528, \"condition\": \"rain\"}, {\"temperature\": 30.610723278623702, \"wind\": 42.06017669565571, \"precipitation\": 69.67703870061514, \"condition\": \"snow\"}, {\"temperature\": 34.74664418075527, \"wind\": 38.58462817605697, \"precipitation\": 67.82787083848606, \"condition\": \"sun\"}, {\"temperature\": 8.120514857460222, \"wind\": 98.79896637292207, \"precipitation\": 21.126567495900296, \"condition\": \"drizzle\"}, {\"temperature\": 21.830015183550092, \"wind\": 22.1211872838582, \"precipitation\": 79.23266981302642, \"condition\": \"fog\"}, {\"temperature\": 37.98236222048335, \"wind\": 3.9308035344873593, \"precipitation\": 14.592671850934291, \"condition\": \"rain\"}, {\"temperature\": 25.958872120055887, \"wind\": 30.880613774748145, \"precipitation\": 81.56963648865039, \"condition\": \"rain\"}, {\"temperature\": 35.17236224867325, \"wind\": 31.08177020391971, \"precipitation\": 24.18647666653794, \"condition\": \"rain\"}, {\"temperature\": 33.364342578760876, \"wind\": 2.9246595809319653, \"precipitation\": 12.15848602978733, \"condition\": \"fog\"}, {\"temperature\": -3.5902835942627487, \"wind\": 86.99227504041556, \"precipitation\": 2.3639517923128017, \"condition\": \"drizzle\"}, {\"temperature\": 43.53091004081406, \"wind\": 70.60869224087214, \"precipitation\": 66.94726954818158, \"condition\": \"rain\"}, {\"temperature\": 1.8337888199719252, \"wind\": 75.06866321814911, \"precipitation\": 53.6891397098117, \"condition\": \"sun\"}, {\"temperature\": 43.47830583880354, \"wind\": 71.68689230524836, \"precipitation\": 31.73117090776013, \"condition\": \"sun\"}, {\"temperature\": 24.70816388894937, \"wind\": 68.30107169120795, 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\"condition\": \"drizzle\"}, {\"temperature\": 40.71245089747694, \"wind\": 60.52030820865206, \"precipitation\": 5.486289017174572, \"condition\": \"rain\"}, {\"temperature\": 1.2855687063133647, \"wind\": 47.74453362846665, \"precipitation\": 77.71039918592594, \"condition\": \"drizzle\"}, {\"temperature\": 13.997864573343104, \"wind\": 99.2063323267444, \"precipitation\": 14.897152160823302, \"condition\": \"drizzle\"}, {\"temperature\": 18.825549046465813, \"wind\": 96.7516586164724, \"precipitation\": 62.15480712924485, \"condition\": \"rain\"}, {\"temperature\": 17.102600135203243, \"wind\": 95.33201102579268, \"precipitation\": 1.76947633335095, \"condition\": \"rain\"}, {\"temperature\": 31.603226292108516, \"wind\": 80.1260277875885, \"precipitation\": 19.250819441340848, \"condition\": \"drizzle\"}, {\"temperature\": 7.272202684808242, \"wind\": 8.416568701596594, \"precipitation\": 24.486546883662086, \"condition\": \"drizzle\"}, {\"temperature\": 6.42450547762995, \"wind\": 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\"precipitation\": 99.7314407177562, \"condition\": \"sun\"}, {\"temperature\": -7.842697704519862, \"wind\": 20.10431994181, \"precipitation\": 8.499755604198123, \"condition\": \"drizzle\"}, {\"temperature\": 23.82197430970396, \"wind\": 30.71236264475776, \"precipitation\": 91.23232368725205, \"condition\": \"snow\"}, {\"temperature\": 43.63862559514364, \"wind\": 28.821660476932877, \"precipitation\": 99.71103207097889, \"condition\": \"fog\"}, {\"temperature\": 8.981532662882305, \"wind\": 35.921027372850865, \"precipitation\": 91.12082810014113, \"condition\": \"fog\"}, {\"temperature\": 26.077729266653087, \"wind\": 63.53612288999908, \"precipitation\": 90.09748712912719, \"condition\": \"sun\"}, {\"temperature\": 38.44181274295784, \"wind\": 71.99143401846956, \"precipitation\": 21.221688878355216, \"condition\": \"rain\"}, {\"temperature\": 34.78710550916185, \"wind\": 89.27467266301889, \"precipitation\": 41.1955282025937, \"condition\": \"sun\"}, {\"temperature\": -5.848035132361012, \"wind\": 57.23792962073, \"precipitation\": 64.23162970775795, \"condition\": \"rain\"}, {\"temperature\": 0.6933169720006127, \"wind\": 72.76756692493736, \"precipitation\": 62.223235261304524, \"condition\": \"drizzle\"}]}}, {\"mode\": \"vega-lite\"});\n</script>",
+      "text/plain": "alt.FacetChart(...)"
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "base = alt.Chart(df)\n",
+    "point = base.mark_point().encode(\n",
+    "    x=alt.X(field='temperature', type='quantitative'),\n",
+    "    y=alt.Y(field='wind', type='quantitative')\n",
+    ")\n",
+    "facet = point.facet(\n",
+    "    column=alt.Column(field='condition', type='nominal')\n",
+    ")\n",
+    "display_chart(facet)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Facet Scatterplot by Binned Data into Columns"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 73,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "{'field': [{'name': 'temperature', 'type': 'number'},\n",
+      "           {'name': 'wind', 'type': 'number'},\n",
+      "           {'name': 'condition', 'type': 'string'}],\n",
+      " 'number_rows': 100,\n",
+      " 'view': [{'facet': [{'binning': 10, 'channel': 'col', 'field': 'temperature'}],\n",
+      "           'mark': [{'encoding': [{'channel': 'x', 'field': 'condition'},\n",
+      "                                  {'channel': 'y', 'field': 'wind'}],\n",
+      "                     'type': 'point'}],\n",
+      "           'scale': [{'channel': 'x', 'type': 'ordinal'},\n",
+      "                     {'channel': 'y', 'type': 'linear'}]}]}\n"
+     ]
+    }
+   ],
+   "source": [
+    "facts = ['attribute(number_rows,root,100).',\n",
+    " 'entity(field,root,temperature).',\n",
+    " 'attribute((field,name),temperature,temperature).',\n",
+    " 'attribute((field,type),temperature,number).',\n",
+    " 'entity(field,root,wind).',\n",
+    " 'attribute((field,name),wind,wind).',\n",
+    " 'attribute((field,type),wind,number).',\n",
+    " 'entity(field,root,condition).',\n",
+    " 'attribute((field,name),condition,condition).',\n",
+    " 'attribute((field,type),condition,string).',\n",
+    " 'entity(view,root,0).',\n",
+    " 'entity(mark,0,1).',\n",
+    " 'attribute((mark,type),1,point).',\n",
+    " 'entity(encoding,1,2).',\n",
+    " 'attribute((encoding,channel),2,x).',\n",
+    " 'attribute((encoding,field),2,condition).',\n",
+    " 'entity(encoding,1,3).',\n",
+    " 'attribute((encoding,channel),3,y).',\n",
+    " 'attribute((encoding,field),3,wind).',\n",
+    " 'entity(scale,0,4).',\n",
+    " 'attribute((scale,channel),4,x).',\n",
+    " 'attribute((scale,type),4,ordinal).',\n",
+    " 'entity(scale,0,5).',\n",
+    " 'attribute((scale,channel),5,y).',\n",
+    " 'attribute((scale,type),5,linear).',\n",
+    " 'entity(facet,0,6).',\n",
+    " 'attribute((facet,channel),6,col).',\n",
+    " 'attribute((facet,field),6,temperature).',\n",
+    " 'attribute((facet,binning),6,10).']\n",
+    "spec = facts_to_dict(facts)\n",
+    "pprint(spec)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 74,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "{'$schema': 'https://vega.github.io/schema/vega-lite/v4.17.0.json',\n",
+      " 'config': {'view': {'continuousHeight': 300, 'continuousWidth': 400}},\n",
+      " 'facet': {'column': {'bin': {'maxbins': 10},\n",
+      "                      'field': 'temperature',\n",
+      "                      'type': 'quantitative'}},\n",
+      " 'spec': {'encoding': {'x': {'field': 'condition',\n",
+      "                             'scale': {'type': 'ordinal'},\n",
+      "                             'type': 'nominal'},\n",
+      "                       'y': {'field': 'wind',\n",
+      "                             'scale': {'type': 'linear'},\n",
+      "                             'type': 'quantitative'}},\n",
+      "          'mark': 'point'}}\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": "\n<div id=\"altair-viz-28ed212c1816496ba9f7568a60751f03\"></div>\n<script type=\"text/javascript\">\n  var VEGA_DEBUG = (typeof VEGA_DEBUG == \"undefined\") ? {} : VEGA_DEBUG;\n  (function(spec, embedOpt){\n    let outputDiv = document.currentScript.previousElementSibling;\n    if (outputDiv.id !== \"altair-viz-28ed212c1816496ba9f7568a60751f03\") {\n      outputDiv = document.getElementById(\"altair-viz-28ed212c1816496ba9f7568a60751f03\");\n    }\n    const paths = {\n      \"vega\": \"https://cdn.jsdelivr.net/npm//vega@5?noext\",\n      \"vega-lib\": \"https://cdn.jsdelivr.net/npm//vega-lib?noext\",\n      \"vega-lite\": \"https://cdn.jsdelivr.net/npm//vega-lite@4.17.0?noext\",\n      \"vega-embed\": \"https://cdn.jsdelivr.net/npm//vega-embed@6?noext\",\n    };\n\n    function maybeLoadScript(lib, version) {\n      var key = `${lib.replace(\"-\", \"\")}_version`;\n      return (VEGA_DEBUG[key] == version) ?\n        Promise.resolve(paths[lib]) :\n        new Promise(function(resolve, reject) {\n          var s = document.createElement('script');\n          document.getElementsByTagName(\"head\")[0].appendChild(s);\n          s.async = true;\n          s.onload = () => {\n            VEGA_DEBUG[key] = version;\n            return resolve(paths[lib]);\n          };\n          s.onerror = () => reject(`Error loading script: ${paths[lib]}`);\n          s.src = paths[lib];\n        });\n    }\n\n    function showError(err) {\n      outputDiv.innerHTML = `<div class=\"error\" style=\"color:red;\">${err}</div>`;\n      throw err;\n    }\n\n    function displayChart(vegaEmbed) {\n      vegaEmbed(outputDiv, spec, embedOpt)\n        .catch(err => showError(`Javascript Error: ${err.message}<br>This usually means there's a typo in your chart specification. See the javascript console for the full traceback.`));\n    }\n\n    if(typeof define === \"function\" && define.amd) {\n      requirejs.config({paths});\n      require([\"vega-embed\"], displayChart, err => showError(`Error loading script: ${err.message}`));\n    } else {\n      maybeLoadScript(\"vega\", \"5\")\n        .then(() => maybeLoadScript(\"vega-lite\", \"4.17.0\"))\n        .then(() => maybeLoadScript(\"vega-embed\", \"6\"))\n        .catch(showError)\n        .then(() => displayChart(vegaEmbed));\n    }\n  })({\"config\": {\"view\": {\"continuousWidth\": 400, \"continuousHeight\": 300}}, \"data\": {\"name\": \"data-80b0e930866eee6a77413fd6e0890a78\"}, \"facet\": {\"column\": {\"bin\": {\"maxbins\": 10}, \"field\": \"temperature\", \"type\": \"quantitative\"}}, \"spec\": {\"mark\": \"point\", \"encoding\": {\"x\": {\"field\": \"condition\", \"scale\": {\"type\": \"ordinal\"}, \"type\": \"nominal\"}, \"y\": {\"field\": \"wind\", \"scale\": {\"type\": \"linear\"}, \"type\": \"quantitative\"}}}, \"$schema\": \"https://vega.github.io/schema/vega-lite/v4.17.0.json\", \"datasets\": {\"data-80b0e930866eee6a77413fd6e0890a78\": [{\"temperature\": 39.357871877508494, \"wind\": 11.562263885182233, \"precipitation\": 88.42051387921796, \"condition\": \"fog\"}, {\"temperature\": -5.947154608637572, \"wind\": 86.90701738497849, \"precipitation\": 70.55832915444152, \"condition\": \"rain\"}, {\"temperature\": 32.82765627853655, \"wind\": 97.65897402212389, \"precipitation\": 82.65511533530304, \"condition\": \"sun\"}, {\"temperature\": 17.525999106231197, \"wind\": 65.52797477069528, \"precipitation\": 53.86256526101837, \"condition\": \"snow\"}, {\"temperature\": -6.80882656934652, \"wind\": 37.03429394195952, \"precipitation\": 93.86525481254682, \"condition\": \"drizzle\"}, {\"temperature\": 42.35997285539091, \"wind\": 72.00671240950793, \"precipitation\": 40.6587905336316, \"condition\": \"sun\"}, {\"temperature\": 12.236046428620227, \"wind\": 24.35537864304579, \"precipitation\": 83.89080965364893, \"condition\": \"sun\"}, {\"temperature\": 42.8103257781665, \"wind\": 29.81101459268268, \"precipitation\": 71.55020159752638, \"condition\": \"sun\"}, {\"temperature\": 22.54392113778252, \"wind\": 96.88264927669367, \"precipitation\": 57.21207145158276, \"condition\": \"rain\"}, {\"temperature\": 22.503608231529917, \"wind\": 73.45718441223443, \"precipitation\": 18.48099480479052, \"condition\": \"fog\"}, {\"temperature\": 20.697023061259923, \"wind\": 78.8085781529467, \"precipitation\": 82.06153728611223, \"condition\": \"drizzle\"}, {\"temperature\": 25.290109397291054, \"wind\": 80.30649374788099, \"precipitation\": 22.36608661432985, \"condition\": \"sun\"}, {\"temperature\": 38.2799313550365, \"wind\": 67.47085587574028, \"precipitation\": 20.740111999310816, \"condition\": \"snow\"}, {\"temperature\": 3.6725463468113624, \"wind\": 1.0115541087158841, \"precipitation\": 18.15771285571497, \"condition\": \"fog\"}, {\"temperature\": 43.05607594953013, \"wind\": 60.68482719845524, \"precipitation\": 57.77089873340201, \"condition\": \"drizzle\"}, {\"temperature\": 32.26702695541979, \"wind\": 51.25287908408247, \"precipitation\": 82.37499650298116, \"condition\": \"sun\"}, {\"temperature\": 20.65470025342109, \"wind\": 17.357994382399223, \"precipitation\": 61.85803419037972, \"condition\": \"snow\"}, {\"temperature\": 7.591958649416281, \"wind\": 56.87567133218157, \"precipitation\": 63.83705679953054, \"condition\": \"drizzle\"}, {\"temperature\": 34.12588295742098, \"wind\": 53.49706318356736, \"precipitation\": 39.89871505509641, \"condition\": \"drizzle\"}, {\"temperature\": 43.35047614485006, \"wind\": 25.611854852857896, \"precipitation\": 80.36992353488051, \"condition\": \"sun\"}, {\"temperature\": -0.6670916465821719, \"wind\": 85.48944217634627, \"precipitation\": 74.19603252504737, \"condition\": \"fog\"}, {\"temperature\": 27.71533514546813, \"wind\": 92.40258299219964, \"precipitation\": 35.46329445299181, \"condition\": \"sun\"}, {\"temperature\": 42.990310063528334, \"wind\": 4.767210553938305, \"precipitation\": 78.84896594785124, \"condition\": \"drizzle\"}, {\"temperature\": 12.78024257419457, \"wind\": 70.42789298007587, \"precipitation\": 32.19857853159736, \"condition\": \"rain\"}, {\"temperature\": 12.345464511586698, \"wind\": 96.37504245663669, \"precipitation\": 58.32326475918834, \"condition\": \"drizzle\"}, {\"temperature\": 16.615985139736694, \"wind\": 79.42654814203834, \"precipitation\": 13.002687080260278, \"condition\": \"drizzle\"}, {\"temperature\": 37.42489242698708, \"wind\": 61.345695045120095, \"precipitation\": 43.77564041090408, \"condition\": \"rain\"}, {\"temperature\": 4.4803758908315565, \"wind\": 49.77522034422004, \"precipitation\": 50.69600709811043, \"condition\": \"drizzle\"}, {\"temperature\": 24.097652039323982, \"wind\": 8.979384326640405, \"precipitation\": 30.641954593528485, \"condition\": \"sun\"}, {\"temperature\": -5.322217743871135, \"wind\": 61.189346843944705, \"precipitation\": 31.593229557269186, \"condition\": \"snow\"}, {\"temperature\": 9.656575236136984, \"wind\": 2.1373906951494104, \"precipitation\": 57.5465193225844, \"condition\": \"rain\"}, {\"temperature\": 23.09003214094531, \"wind\": 16.8504340533028, \"precipitation\": 49.38199137777561, \"condition\": \"snow\"}, {\"temperature\": -0.8910674950475652, \"wind\": 67.4372389241753, \"precipitation\": 44.01373586297284, \"condition\": \"drizzle\"}, {\"temperature\": 38.77628981797657, \"wind\": 19.349109733319814, \"precipitation\": 18.478064234157422, \"condition\": \"snow\"}, {\"temperature\": 3.4205075380082093, \"wind\": 27.407919047755026, \"precipitation\": 32.84745237938085, \"condition\": \"fog\"}, {\"temperature\": -5.033320662096024, \"wind\": 94.25698462447689, \"precipitation\": 43.460229120490254, \"condition\": \"fog\"}, {\"temperature\": -9.971237977814939, \"wind\": 93.98073112476098, \"precipitation\": 74.78247080628827, \"condition\": \"sun\"}, {\"temperature\": 14.882883965973484, \"wind\": 24.785612027523594, \"precipitation\": 51.19773747140527, \"condition\": \"drizzle\"}, {\"temperature\": 14.018034425277474, \"wind\": 91.62717881393021, \"precipitation\": 99.49522416477019, \"condition\": \"sun\"}, {\"temperature\": 31.305982604448104, \"wind\": 40.90373869893349, \"precipitation\": 74.89298496286528, \"condition\": \"rain\"}, {\"temperature\": 30.610723278623702, \"wind\": 42.06017669565571, \"precipitation\": 69.67703870061514, \"condition\": \"snow\"}, {\"temperature\": 34.74664418075527, \"wind\": 38.58462817605697, \"precipitation\": 67.82787083848606, \"condition\": \"sun\"}, {\"temperature\": 8.120514857460222, \"wind\": 98.79896637292207, \"precipitation\": 21.126567495900296, \"condition\": \"drizzle\"}, {\"temperature\": 21.830015183550092, \"wind\": 22.1211872838582, \"precipitation\": 79.23266981302642, \"condition\": \"fog\"}, {\"temperature\": 37.98236222048335, \"wind\": 3.9308035344873593, \"precipitation\": 14.592671850934291, \"condition\": \"rain\"}, {\"temperature\": 25.958872120055887, \"wind\": 30.880613774748145, \"precipitation\": 81.56963648865039, \"condition\": \"rain\"}, {\"temperature\": 35.17236224867325, \"wind\": 31.08177020391971, \"precipitation\": 24.18647666653794, \"condition\": \"rain\"}, {\"temperature\": 33.364342578760876, \"wind\": 2.9246595809319653, \"precipitation\": 12.15848602978733, \"condition\": \"fog\"}, {\"temperature\": -3.5902835942627487, \"wind\": 86.99227504041556, \"precipitation\": 2.3639517923128017, \"condition\": \"drizzle\"}, {\"temperature\": 43.53091004081406, \"wind\": 70.60869224087214, \"precipitation\": 66.94726954818158, \"condition\": \"rain\"}, {\"temperature\": 1.8337888199719252, \"wind\": 75.06866321814911, \"precipitation\": 53.6891397098117, \"condition\": \"sun\"}, {\"temperature\": 43.47830583880354, \"wind\": 71.68689230524836, \"precipitation\": 31.73117090776013, \"condition\": \"sun\"}, {\"temperature\": 24.70816388894937, \"wind\": 68.30107169120795, \"precipitation\": 20.50225020747416, \"condition\": \"snow\"}, {\"temperature\": 16.05118379980134, \"wind\": 52.99782792799144, \"precipitation\": 11.69028728553364, \"condition\": \"fog\"}, {\"temperature\": 28.077076050276126, \"wind\": 24.843732657120764, \"precipitation\": 7.7565838958533195, \"condition\": \"fog\"}, {\"temperature\": 26.313211105376084, \"wind\": 45.03333651941402, \"precipitation\": 31.41227095201218, \"condition\": \"fog\"}, {\"temperature\": 25.47932407524442, \"wind\": 87.21604759710651, \"precipitation\": 13.96847689136137, \"condition\": \"snow\"}, {\"temperature\": 11.036706749946731, \"wind\": 33.86229598446234, \"precipitation\": 38.968294579117845, \"condition\": \"rain\"}, {\"temperature\": 0.8142265953456, \"wind\": 70.98507415296346, \"precipitation\": 19.273374312321256, \"condition\": \"drizzle\"}, {\"temperature\": 25.391354725358426, \"wind\": 68.9460480155243, \"precipitation\": 93.11546643206357, \"condition\": \"fog\"}, {\"temperature\": 27.7726958317102, \"wind\": 15.439482065514532, \"precipitation\": 5.293937143885552, \"condition\": \"sun\"}, {\"temperature\": 3.0547946822445873, \"wind\": 86.42755659056152, \"precipitation\": 2.624712873155066, \"condition\": \"rain\"}, {\"temperature\": 39.42369527658811, \"wind\": 47.39700920935881, \"precipitation\": 41.728060203985706, \"condition\": \"rain\"}, {\"temperature\": 31.616549252691705, \"wind\": 31.294073920356126, \"precipitation\": 61.66414511625905, \"condition\": \"snow\"}, {\"temperature\": 37.73472491414072, \"wind\": 56.11305268794269, \"precipitation\": 81.92111265208045, \"condition\": \"fog\"}, {\"temperature\": 29.412459474532355, \"wind\": 46.76189099995182, \"precipitation\": 32.17901910781431, \"condition\": \"snow\"}, {\"temperature\": -5.305474080741154, \"wind\": 16.51061166938045, \"precipitation\": 40.72674907868328, \"condition\": \"fog\"}, {\"temperature\": 28.248344335114005, \"wind\": 74.65204013977382, \"precipitation\": 8.992377726473755, \"condition\": \"drizzle\"}, {\"temperature\": 40.71245089747694, \"wind\": 60.52030820865206, \"precipitation\": 5.486289017174572, \"condition\": \"rain\"}, {\"temperature\": 1.2855687063133647, \"wind\": 47.74453362846665, \"precipitation\": 77.71039918592594, \"condition\": \"drizzle\"}, {\"temperature\": 13.997864573343104, \"wind\": 99.2063323267444, \"precipitation\": 14.897152160823302, \"condition\": \"drizzle\"}, {\"temperature\": 18.825549046465813, \"wind\": 96.7516586164724, \"precipitation\": 62.15480712924485, \"condition\": \"rain\"}, {\"temperature\": 17.102600135203243, \"wind\": 95.33201102579268, \"precipitation\": 1.76947633335095, \"condition\": \"rain\"}, {\"temperature\": 31.603226292108516, \"wind\": 80.1260277875885, \"precipitation\": 19.250819441340848, \"condition\": \"drizzle\"}, {\"temperature\": 7.272202684808242, \"wind\": 8.416568701596594, \"precipitation\": 24.486546883662086, \"condition\": \"drizzle\"}, {\"temperature\": 6.42450547762995, \"wind\": 39.273237823513206, \"precipitation\": 59.175511527387584, \"condition\": \"sun\"}, {\"temperature\": 0.37651709537109035, \"wind\": 94.77902759827063, \"precipitation\": 28.64474524803353, \"condition\": \"fog\"}, {\"temperature\": 29.418237348870328, \"wind\": 73.1637224142291, \"precipitation\": 36.384371127988594, \"condition\": \"fog\"}, {\"temperature\": 32.58410407316762, \"wind\": 23.572673866731876, \"precipitation\": 21.78686177609982, \"condition\": \"sun\"}, {\"temperature\": 40.58331555194774, \"wind\": 12.46579946692835, \"precipitation\": 33.052715046353775, \"condition\": \"fog\"}, {\"temperature\": 15.02270799243955, \"wind\": 23.521353082533057, \"precipitation\": 0.5866372551906918, \"condition\": \"rain\"}, {\"temperature\": -1.5856356202583797, \"wind\": 58.706439422107415, \"precipitation\": 23.69625533115679, \"condition\": \"fog\"}, {\"temperature\": 39.83846166807995, \"wind\": 7.925060993257304, \"precipitation\": 73.27745598517468, \"condition\": \"snow\"}, {\"temperature\": 30.25106478610541, \"wind\": 53.60474576386106, \"precipitation\": 76.63592895791527, \"condition\": \"sun\"}, {\"temperature\": 12.08528607254729, \"wind\": 11.679210728025568, \"precipitation\": 21.30987094861694, \"condition\": \"drizzle\"}, {\"temperature\": 20.103305307522167, \"wind\": 35.51132614216856, \"precipitation\": 99.11641742479553, \"condition\": \"snow\"}, {\"temperature\": 34.61293495454381, \"wind\": 16.44814913694985, \"precipitation\": 76.5788070641912, \"condition\": \"sun\"}, {\"temperature\": 5.3304368864748515, \"wind\": 11.488543420187414, \"precipitation\": 23.611522242446682, \"condition\": \"rain\"}, {\"temperature\": 10.624231316087673, \"wind\": 89.57677208906625, \"precipitation\": 17.901521820239154, \"condition\": \"rain\"}, {\"temperature\": 16.45869339879156, \"wind\": 82.14358903068431, \"precipitation\": 50.5274648107178, \"condition\": \"drizzle\"}, {\"temperature\": 30.4859555666389, \"wind\": 85.43429025210673, \"precipitation\": 99.7314407177562, \"condition\": \"sun\"}, {\"temperature\": -7.842697704519862, \"wind\": 20.10431994181, \"precipitation\": 8.499755604198123, \"condition\": \"drizzle\"}, {\"temperature\": 23.82197430970396, \"wind\": 30.71236264475776, \"precipitation\": 91.23232368725205, \"condition\": \"snow\"}, {\"temperature\": 43.63862559514364, \"wind\": 28.821660476932877, \"precipitation\": 99.71103207097889, \"condition\": \"fog\"}, {\"temperature\": 8.981532662882305, \"wind\": 35.921027372850865, \"precipitation\": 91.12082810014113, \"condition\": \"fog\"}, {\"temperature\": 26.077729266653087, \"wind\": 63.53612288999908, \"precipitation\": 90.09748712912719, \"condition\": \"sun\"}, {\"temperature\": 38.44181274295784, \"wind\": 71.99143401846956, \"precipitation\": 21.221688878355216, \"condition\": \"rain\"}, {\"temperature\": 34.78710550916185, \"wind\": 89.27467266301889, \"precipitation\": 41.1955282025937, \"condition\": \"sun\"}, {\"temperature\": -5.848035132361012, \"wind\": 57.23792962073, \"precipitation\": 64.23162970775795, \"condition\": \"rain\"}, {\"temperature\": 0.6933169720006127, \"wind\": 72.76756692493736, \"precipitation\": 62.223235261304524, \"condition\": \"drizzle\"}]}}, {\"mode\": \"vega-lite\"});\n</script>",
+      "text/plain": "alt.FacetChart(...)"
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "base = alt.Chart(df)\n",
+    "point = base.mark_point().encode(\n",
+    "    x=alt.X(field='condition', type='nominal', scale=alt.Scale(type='ordinal')),\n",
+    "    y=alt.Y(field='wind', type='quantitative', scale=alt.Scale(type='linear'))\n",
+    ")\n",
+    "facet = point.facet(\n",
+    "    column=alt.Column(field='temperature', type='quantitative', bin=alt.Bin(maxbins=10))\n",
+    ")\n",
+    "display_chart(facet)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Multiple Views"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Tick Plot and Histogram"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 75,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "{'field': [{'name': 'temperature', 'type': 'number'},\n",
+      "           {'name': 'condition', 'type': 'string'}],\n",
+      " 'number_rows': 100,\n",
+      " 'view': [{'mark': [{'encoding': [{'channel': 'y', 'field': 'temperature'}],\n",
+      "                     'type': 'tick'}],\n",
+      "           'scale': [{'channel': 'y', 'type': 'linear', 'zero': 'true'}]},\n",
+      "          {'mark': [{'encoding': [{'channel': 'x', 'field': 'condition'},\n",
+      "                                  {'aggregate': 'count', 'channel': 'y'}],\n",
+      "                     'type': 'bar'}],\n",
+      "           'scale': [{'channel': 'x', 'type': 'ordinal'},\n",
+      "                     {'channel': 'y', 'type': 'linear', 'zero': 'true'}]}]}\n"
+     ]
+    }
+   ],
+   "source": [
+    "facts = ['attribute(number_rows,root,100).',\n",
+    " 'entity(field,root,temperature).',\n",
+    " 'attribute((field,name),temperature,temperature).',\n",
+    " 'attribute((field,type),temperature,number).',\n",
+    " 'entity(field,root,condition).',\n",
+    " 'attribute((field,name),condition,condition).',\n",
+    " 'attribute((field,type),condition,string).',\n",
+    " 'entity(view,root,0).',\n",
+    " 'entity(mark,0,1).',\n",
+    " 'attribute((mark,type),1,tick).',\n",
+    " 'entity(encoding,1,2).',\n",
+    " 'attribute((encoding,channel),2,y).',\n",
+    " 'attribute((encoding,field),2,temperature).',\n",
+    " 'entity(scale,0,3).',\n",
+    " 'attribute((scale,channel),3,y).',\n",
+    " 'attribute((scale,type),3,linear).',\n",
+    " 'attribute((scale,zero),3,true).',\n",
+    " 'entity(view,root,4).',\n",
+    " 'entity(mark,4,5).',\n",
+    " 'attribute((mark,type),5,bar).',\n",
+    " 'entity(encoding,5,6).',\n",
+    " 'attribute((encoding,channel),6,x).',\n",
+    " 'attribute((encoding,field),6,condition).',\n",
+    " 'entity(encoding,5,7).',\n",
+    " 'attribute((encoding,channel),7,y).',\n",
+    " 'attribute((encoding,aggregate),7,count).',\n",
+    " 'entity(scale,4,8).',\n",
+    " 'attribute((scale,channel),8,x).',\n",
+    " 'attribute((scale,type),8,ordinal).',\n",
+    " 'entity(scale,4,9).',\n",
+    " 'attribute((scale,channel),9,y).',\n",
+    " 'attribute((scale,type),9,linear).',\n",
+    " 'attribute((scale,zero),9,true).']\n",
+    "spec = facts_to_dict(facts)\n",
+    "pprint(spec)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 76,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "{'$schema': 'https://vega.github.io/schema/vega-lite/v4.17.0.json',\n",
+      " 'config': {'view': {'continuousHeight': 300, 'continuousWidth': 400}},\n",
+      " 'hconcat': [{'encoding': {'y': {'field': 'temperature',\n",
+      "                                 'scale': {'type': 'linear', 'zero': True},\n",
+      "                                 'type': 'quantitative'}},\n",
+      "              'mark': 'tick'},\n",
+      "             {'encoding': {'x': {'field': 'condition',\n",
+      "                                 'scale': {'type': 'ordinal'},\n",
+      "                                 'type': 'nominal'},\n",
+      "                           'y': {'aggregate': 'count',\n",
+      "                                 'field': 'condition',\n",
+      "                                 'type': 'nominal'}},\n",
+      "              'mark': 'bar'}]}\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": "\n<div id=\"altair-viz-7e0f64f3bef142fa800836d1bbe2bc3f\"></div>\n<script type=\"text/javascript\">\n  var VEGA_DEBUG = (typeof VEGA_DEBUG == \"undefined\") ? {} : VEGA_DEBUG;\n  (function(spec, embedOpt){\n    let outputDiv = document.currentScript.previousElementSibling;\n    if (outputDiv.id !== \"altair-viz-7e0f64f3bef142fa800836d1bbe2bc3f\") {\n      outputDiv = document.getElementById(\"altair-viz-7e0f64f3bef142fa800836d1bbe2bc3f\");\n    }\n    const paths = {\n      \"vega\": \"https://cdn.jsdelivr.net/npm//vega@5?noext\",\n      \"vega-lib\": \"https://cdn.jsdelivr.net/npm//vega-lib?noext\",\n      \"vega-lite\": \"https://cdn.jsdelivr.net/npm//vega-lite@4.17.0?noext\",\n      \"vega-embed\": \"https://cdn.jsdelivr.net/npm//vega-embed@6?noext\",\n    };\n\n    function maybeLoadScript(lib, version) {\n      var key = `${lib.replace(\"-\", \"\")}_version`;\n      return (VEGA_DEBUG[key] == version) ?\n        Promise.resolve(paths[lib]) :\n        new Promise(function(resolve, reject) {\n          var s = document.createElement('script');\n          document.getElementsByTagName(\"head\")[0].appendChild(s);\n          s.async = true;\n          s.onload = () => {\n            VEGA_DEBUG[key] = version;\n            return resolve(paths[lib]);\n          };\n          s.onerror = () => reject(`Error loading script: ${paths[lib]}`);\n          s.src = paths[lib];\n        });\n    }\n\n    function showError(err) {\n      outputDiv.innerHTML = `<div class=\"error\" style=\"color:red;\">${err}</div>`;\n      throw err;\n    }\n\n    function displayChart(vegaEmbed) {\n      vegaEmbed(outputDiv, spec, embedOpt)\n        .catch(err => showError(`Javascript Error: ${err.message}<br>This usually means there's a typo in your chart specification. See the javascript console for the full traceback.`));\n    }\n\n    if(typeof define === \"function\" && define.amd) {\n      requirejs.config({paths});\n      require([\"vega-embed\"], displayChart, err => showError(`Error loading script: ${err.message}`));\n    } else {\n      maybeLoadScript(\"vega\", \"5\")\n        .then(() => maybeLoadScript(\"vega-lite\", \"4.17.0\"))\n        .then(() => maybeLoadScript(\"vega-embed\", \"6\"))\n        .catch(showError)\n        .then(() => displayChart(vegaEmbed));\n    }\n  })({\"config\": {\"view\": {\"continuousWidth\": 400, \"continuousHeight\": 300}}, \"hconcat\": [{\"mark\": \"tick\", \"encoding\": {\"y\": {\"field\": \"temperature\", \"scale\": {\"type\": \"linear\", \"zero\": true}, \"type\": \"quantitative\"}}}, {\"mark\": \"bar\", \"encoding\": {\"x\": {\"field\": \"condition\", \"scale\": {\"type\": \"ordinal\"}, \"type\": \"nominal\"}, \"y\": {\"aggregate\": \"count\", \"field\": \"condition\", \"type\": \"nominal\"}}}], \"data\": {\"name\": \"data-80b0e930866eee6a77413fd6e0890a78\"}, \"$schema\": \"https://vega.github.io/schema/vega-lite/v4.17.0.json\", \"datasets\": {\"data-80b0e930866eee6a77413fd6e0890a78\": [{\"temperature\": 39.357871877508494, \"wind\": 11.562263885182233, \"precipitation\": 88.42051387921796, \"condition\": \"fog\"}, {\"temperature\": -5.947154608637572, \"wind\": 86.90701738497849, \"precipitation\": 70.55832915444152, \"condition\": \"rain\"}, {\"temperature\": 32.82765627853655, \"wind\": 97.65897402212389, \"precipitation\": 82.65511533530304, \"condition\": \"sun\"}, {\"temperature\": 17.525999106231197, \"wind\": 65.52797477069528, \"precipitation\": 53.86256526101837, \"condition\": \"snow\"}, {\"temperature\": -6.80882656934652, \"wind\": 37.03429394195952, \"precipitation\": 93.86525481254682, \"condition\": \"drizzle\"}, {\"temperature\": 42.35997285539091, \"wind\": 72.00671240950793, \"precipitation\": 40.6587905336316, \"condition\": \"sun\"}, {\"temperature\": 12.236046428620227, \"wind\": 24.35537864304579, \"precipitation\": 83.89080965364893, \"condition\": \"sun\"}, {\"temperature\": 42.8103257781665, \"wind\": 29.81101459268268, \"precipitation\": 71.55020159752638, \"condition\": \"sun\"}, {\"temperature\": 22.54392113778252, \"wind\": 96.88264927669367, \"precipitation\": 57.21207145158276, \"condition\": \"rain\"}, {\"temperature\": 22.503608231529917, \"wind\": 73.45718441223443, \"precipitation\": 18.48099480479052, \"condition\": \"fog\"}, {\"temperature\": 20.697023061259923, \"wind\": 78.8085781529467, \"precipitation\": 82.06153728611223, \"condition\": \"drizzle\"}, {\"temperature\": 25.290109397291054, \"wind\": 80.30649374788099, \"precipitation\": 22.36608661432985, \"condition\": \"sun\"}, {\"temperature\": 38.2799313550365, \"wind\": 67.47085587574028, \"precipitation\": 20.740111999310816, \"condition\": \"snow\"}, {\"temperature\": 3.6725463468113624, \"wind\": 1.0115541087158841, \"precipitation\": 18.15771285571497, \"condition\": \"fog\"}, {\"temperature\": 43.05607594953013, \"wind\": 60.68482719845524, \"precipitation\": 57.77089873340201, \"condition\": \"drizzle\"}, {\"temperature\": 32.26702695541979, \"wind\": 51.25287908408247, \"precipitation\": 82.37499650298116, \"condition\": \"sun\"}, {\"temperature\": 20.65470025342109, \"wind\": 17.357994382399223, \"precipitation\": 61.85803419037972, \"condition\": \"snow\"}, {\"temperature\": 7.591958649416281, \"wind\": 56.87567133218157, \"precipitation\": 63.83705679953054, \"condition\": \"drizzle\"}, {\"temperature\": 34.12588295742098, \"wind\": 53.49706318356736, \"precipitation\": 39.89871505509641, \"condition\": \"drizzle\"}, {\"temperature\": 43.35047614485006, \"wind\": 25.611854852857896, \"precipitation\": 80.36992353488051, \"condition\": \"sun\"}, {\"temperature\": -0.6670916465821719, \"wind\": 85.48944217634627, \"precipitation\": 74.19603252504737, \"condition\": \"fog\"}, {\"temperature\": 27.71533514546813, \"wind\": 92.40258299219964, \"precipitation\": 35.46329445299181, \"condition\": \"sun\"}, {\"temperature\": 42.990310063528334, \"wind\": 4.767210553938305, \"precipitation\": 78.84896594785124, \"condition\": \"drizzle\"}, {\"temperature\": 12.78024257419457, \"wind\": 70.42789298007587, \"precipitation\": 32.19857853159736, \"condition\": \"rain\"}, {\"temperature\": 12.345464511586698, \"wind\": 96.37504245663669, \"precipitation\": 58.32326475918834, \"condition\": \"drizzle\"}, {\"temperature\": 16.615985139736694, \"wind\": 79.42654814203834, \"precipitation\": 13.002687080260278, \"condition\": \"drizzle\"}, {\"temperature\": 37.42489242698708, \"wind\": 61.345695045120095, \"precipitation\": 43.77564041090408, \"condition\": \"rain\"}, {\"temperature\": 4.4803758908315565, \"wind\": 49.77522034422004, \"precipitation\": 50.69600709811043, \"condition\": \"drizzle\"}, {\"temperature\": 24.097652039323982, \"wind\": 8.979384326640405, \"precipitation\": 30.641954593528485, \"condition\": 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\"precipitation\": 74.78247080628827, \"condition\": \"sun\"}, {\"temperature\": 14.882883965973484, \"wind\": 24.785612027523594, \"precipitation\": 51.19773747140527, \"condition\": \"drizzle\"}, {\"temperature\": 14.018034425277474, \"wind\": 91.62717881393021, \"precipitation\": 99.49522416477019, \"condition\": \"sun\"}, {\"temperature\": 31.305982604448104, \"wind\": 40.90373869893349, \"precipitation\": 74.89298496286528, \"condition\": \"rain\"}, {\"temperature\": 30.610723278623702, \"wind\": 42.06017669565571, \"precipitation\": 69.67703870061514, \"condition\": \"snow\"}, {\"temperature\": 34.74664418075527, \"wind\": 38.58462817605697, \"precipitation\": 67.82787083848606, \"condition\": \"sun\"}, {\"temperature\": 8.120514857460222, \"wind\": 98.79896637292207, \"precipitation\": 21.126567495900296, \"condition\": \"drizzle\"}, {\"temperature\": 21.830015183550092, \"wind\": 22.1211872838582, \"precipitation\": 79.23266981302642, \"condition\": \"fog\"}, {\"temperature\": 37.98236222048335, \"wind\": 3.9308035344873593, \"precipitation\": 14.592671850934291, \"condition\": \"rain\"}, {\"temperature\": 25.958872120055887, \"wind\": 30.880613774748145, \"precipitation\": 81.56963648865039, \"condition\": \"rain\"}, {\"temperature\": 35.17236224867325, \"wind\": 31.08177020391971, \"precipitation\": 24.18647666653794, \"condition\": \"rain\"}, {\"temperature\": 33.364342578760876, \"wind\": 2.9246595809319653, \"precipitation\": 12.15848602978733, \"condition\": \"fog\"}, {\"temperature\": -3.5902835942627487, \"wind\": 86.99227504041556, \"precipitation\": 2.3639517923128017, \"condition\": \"drizzle\"}, {\"temperature\": 43.53091004081406, \"wind\": 70.60869224087214, \"precipitation\": 66.94726954818158, \"condition\": \"rain\"}, {\"temperature\": 1.8337888199719252, \"wind\": 75.06866321814911, \"precipitation\": 53.6891397098117, \"condition\": \"sun\"}, {\"temperature\": 43.47830583880354, \"wind\": 71.68689230524836, \"precipitation\": 31.73117090776013, \"condition\": \"sun\"}, {\"temperature\": 24.70816388894937, \"wind\": 68.30107169120795, \"precipitation\": 20.50225020747416, \"condition\": \"snow\"}, {\"temperature\": 16.05118379980134, \"wind\": 52.99782792799144, \"precipitation\": 11.69028728553364, \"condition\": \"fog\"}, {\"temperature\": 28.077076050276126, \"wind\": 24.843732657120764, \"precipitation\": 7.7565838958533195, \"condition\": \"fog\"}, {\"temperature\": 26.313211105376084, \"wind\": 45.03333651941402, \"precipitation\": 31.41227095201218, \"condition\": \"fog\"}, {\"temperature\": 25.47932407524442, \"wind\": 87.21604759710651, \"precipitation\": 13.96847689136137, \"condition\": \"snow\"}, {\"temperature\": 11.036706749946731, \"wind\": 33.86229598446234, \"precipitation\": 38.968294579117845, \"condition\": \"rain\"}, {\"temperature\": 0.8142265953456, \"wind\": 70.98507415296346, \"precipitation\": 19.273374312321256, \"condition\": \"drizzle\"}, {\"temperature\": 25.391354725358426, 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\"fog\"}, {\"temperature\": 28.248344335114005, \"wind\": 74.65204013977382, \"precipitation\": 8.992377726473755, \"condition\": \"drizzle\"}, {\"temperature\": 40.71245089747694, \"wind\": 60.52030820865206, \"precipitation\": 5.486289017174572, \"condition\": \"rain\"}, {\"temperature\": 1.2855687063133647, \"wind\": 47.74453362846665, \"precipitation\": 77.71039918592594, \"condition\": \"drizzle\"}, {\"temperature\": 13.997864573343104, \"wind\": 99.2063323267444, \"precipitation\": 14.897152160823302, \"condition\": \"drizzle\"}, {\"temperature\": 18.825549046465813, \"wind\": 96.7516586164724, \"precipitation\": 62.15480712924485, \"condition\": \"rain\"}, {\"temperature\": 17.102600135203243, \"wind\": 95.33201102579268, \"precipitation\": 1.76947633335095, \"condition\": \"rain\"}, {\"temperature\": 31.603226292108516, \"wind\": 80.1260277875885, \"precipitation\": 19.250819441340848, \"condition\": \"drizzle\"}, {\"temperature\": 7.272202684808242, \"wind\": 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\"precipitation\": 50.5274648107178, \"condition\": \"drizzle\"}, {\"temperature\": 30.4859555666389, \"wind\": 85.43429025210673, \"precipitation\": 99.7314407177562, \"condition\": \"sun\"}, {\"temperature\": -7.842697704519862, \"wind\": 20.10431994181, \"precipitation\": 8.499755604198123, \"condition\": \"drizzle\"}, {\"temperature\": 23.82197430970396, \"wind\": 30.71236264475776, \"precipitation\": 91.23232368725205, \"condition\": \"snow\"}, {\"temperature\": 43.63862559514364, \"wind\": 28.821660476932877, \"precipitation\": 99.71103207097889, \"condition\": \"fog\"}, {\"temperature\": 8.981532662882305, \"wind\": 35.921027372850865, \"precipitation\": 91.12082810014113, \"condition\": \"fog\"}, {\"temperature\": 26.077729266653087, \"wind\": 63.53612288999908, \"precipitation\": 90.09748712912719, \"condition\": \"sun\"}, {\"temperature\": 38.44181274295784, \"wind\": 71.99143401846956, \"precipitation\": 21.221688878355216, \"condition\": \"rain\"}, {\"temperature\": 34.78710550916185, \"wind\": 89.27467266301889, \"precipitation\": 41.1955282025937, \"condition\": \"sun\"}, {\"temperature\": -5.848035132361012, \"wind\": 57.23792962073, \"precipitation\": 64.23162970775795, \"condition\": \"rain\"}, {\"temperature\": 0.6933169720006127, \"wind\": 72.76756692493736, \"precipitation\": 62.223235261304524, \"condition\": \"drizzle\"}]}}, {\"mode\": \"vega-lite\"});\n</script>",
+      "text/plain": "alt.HConcatChart(...)"
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "base = alt.Chart(df)\n",
+    "\n",
+    "tick = base.mark_tick().encode(\n",
+    "    y=alt.Y(field='temperature', type='quantitative', scale=alt.Scale(type='linear', zero=True))\n",
+    ")\n",
+    "view_1 = tick\n",
+    "\n",
+    "bar = base.mark_bar().encode(\n",
+    "    x=alt.X(field='condition', type='nominal', scale=alt.Scale(type='ordinal')),\n",
+    "    y=alt.Y(field='condition', type='nominal', aggregate='count')\n",
+    ")\n",
+    "view_2 = bar\n",
+    "\n",
+    "display_chart(view_1 | view_2)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Tick Plot and Histogram with Shared Y-Scale"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 77,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "{'field': [{'name': 'temperature', 'type': 'number'},\n",
+      "           {'name': 'condition', 'type': 'string'}],\n",
+      " 'number_rows': 100,\n",
+      " 'scale': [{'channel': 'y', 'type': 'linear', 'zero': 'true'}],\n",
+      " 'view': [{'mark': [{'encoding': [{'channel': 'y', 'field': 'temperature'}],\n",
+      "                     'type': 'tick'}]},\n",
+      "          {'mark': [{'encoding': [{'aggregate': 'mean',\n",
+      "                                   'channel': 'y',\n",
+      "                                   'field': 'temperature'},\n",
+      "                                  {'channel': 'x', 'field': 'condition'}],\n",
+      "                     'type': 'bar'}],\n",
+      "           'scale': [{'channel': 'x', 'type': 'ordinal'}]}]}\n"
+     ]
+    }
+   ],
+   "source": [
+    "facts = ['attribute(number_rows,root,100).',\n",
+    " 'entity(field,root,temperature).',\n",
+    " 'attribute((field,name),temperature,temperature).',\n",
+    " 'attribute((field,type),temperature,number).',\n",
+    " 'entity(field,root,condition).',\n",
+    " 'attribute((field,name),condition,condition).',\n",
+    " 'attribute((field,type),condition,string).',\n",
+    " 'entity(view,root,0).',\n",
+    " 'entity(mark,0,1).',\n",
+    " 'attribute((mark,type),1,tick).',\n",
+    " 'entity(encoding,1,2).',\n",
+    " 'attribute((encoding,channel),2,y).',\n",
+    " 'attribute((encoding,field),2,temperature).',\n",
+    " 'entity(view,root,3).',\n",
+    " 'entity(mark,3,4).',\n",
+    " 'attribute((mark,type),4,bar).',\n",
+    " 'entity(encoding,4,5).',\n",
+    " 'attribute((encoding,channel),5,y).',\n",
+    " 'attribute((encoding,field),5,temperature).',\n",
+    " 'attribute((encoding,aggregate),5,mean).',\n",
+    " 'entity(encoding,4,6).',\n",
+    " 'attribute((encoding,channel),6,x).',\n",
+    " 'attribute((encoding,field),6,condition).',\n",
+    " 'entity(scale,3,7).',\n",
+    " 'attribute((scale,channel),7,x).',\n",
+    " 'attribute((scale,type),7,ordinal).',\n",
+    " 'entity(scale,root,8).',\n",
+    " 'attribute((scale,channel),8,y).',\n",
+    " 'attribute((scale,type),8,linear).',\n",
+    " 'attribute((scale,zero),8,true).']\n",
+    "spec = facts_to_dict(facts)\n",
+    "pprint(spec)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 78,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "{'$schema': 'https://vega.github.io/schema/vega-lite/v4.17.0.json',\n",
+      " 'config': {'view': {'continuousHeight': 300, 'continuousWidth': 400}},\n",
+      " 'hconcat': [{'encoding': {'y': {'field': 'temperature',\n",
+      "                                 'type': 'quantitative'}},\n",
+      "              'mark': 'tick'},\n",
+      "             {'encoding': {'x': {'field': 'condition', 'type': 'nominal'},\n",
+      "                           'y': {'aggregate': 'mean',\n",
+      "                                 'field': 'temperature',\n",
+      "                                 'type': 'quantitative'}},\n",
+      "              'mark': 'bar'}],\n",
+      " 'resolve': {'scale': {'y': 'shared'}}}\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": "\n<div id=\"altair-viz-5acbbb91eff4488ab47262010ba2ba97\"></div>\n<script type=\"text/javascript\">\n  var VEGA_DEBUG = (typeof VEGA_DEBUG == \"undefined\") ? {} : VEGA_DEBUG;\n  (function(spec, embedOpt){\n    let outputDiv = document.currentScript.previousElementSibling;\n    if (outputDiv.id !== \"altair-viz-5acbbb91eff4488ab47262010ba2ba97\") {\n      outputDiv = document.getElementById(\"altair-viz-5acbbb91eff4488ab47262010ba2ba97\");\n    }\n    const paths = {\n      \"vega\": \"https://cdn.jsdelivr.net/npm//vega@5?noext\",\n      \"vega-lib\": \"https://cdn.jsdelivr.net/npm//vega-lib?noext\",\n      \"vega-lite\": \"https://cdn.jsdelivr.net/npm//vega-lite@4.17.0?noext\",\n      \"vega-embed\": \"https://cdn.jsdelivr.net/npm//vega-embed@6?noext\",\n    };\n\n    function maybeLoadScript(lib, version) {\n      var key = `${lib.replace(\"-\", \"\")}_version`;\n      return (VEGA_DEBUG[key] == version) ?\n        Promise.resolve(paths[lib]) :\n        new Promise(function(resolve, reject) {\n          var s = document.createElement('script');\n          document.getElementsByTagName(\"head\")[0].appendChild(s);\n          s.async = true;\n          s.onload = () => {\n            VEGA_DEBUG[key] = version;\n            return resolve(paths[lib]);\n          };\n          s.onerror = () => reject(`Error loading script: ${paths[lib]}`);\n          s.src = paths[lib];\n        });\n    }\n\n    function showError(err) {\n      outputDiv.innerHTML = `<div class=\"error\" style=\"color:red;\">${err}</div>`;\n      throw err;\n    }\n\n    function displayChart(vegaEmbed) {\n      vegaEmbed(outputDiv, spec, embedOpt)\n        .catch(err => showError(`Javascript Error: ${err.message}<br>This usually means there's a typo in your chart specification. See the javascript console for the full traceback.`));\n    }\n\n    if(typeof define === \"function\" && define.amd) {\n      requirejs.config({paths});\n      require([\"vega-embed\"], displayChart, err => showError(`Error loading script: ${err.message}`));\n    } else {\n      maybeLoadScript(\"vega\", \"5\")\n        .then(() => maybeLoadScript(\"vega-lite\", \"4.17.0\"))\n        .then(() => maybeLoadScript(\"vega-embed\", \"6\"))\n        .catch(showError)\n        .then(() => displayChart(vegaEmbed));\n    }\n  })({\"config\": {\"view\": {\"continuousWidth\": 400, \"continuousHeight\": 300}}, \"hconcat\": [{\"mark\": \"tick\", \"encoding\": {\"y\": {\"field\": \"temperature\", \"type\": \"quantitative\"}}}, {\"mark\": \"bar\", \"encoding\": {\"x\": {\"field\": \"condition\", \"type\": \"nominal\"}, \"y\": {\"aggregate\": \"mean\", \"field\": \"temperature\", \"type\": \"quantitative\"}}}], \"data\": {\"name\": \"data-80b0e930866eee6a77413fd6e0890a78\"}, \"resolve\": {\"scale\": {\"y\": \"shared\"}}, \"$schema\": \"https://vega.github.io/schema/vega-lite/v4.17.0.json\", \"datasets\": {\"data-80b0e930866eee6a77413fd6e0890a78\": [{\"temperature\": 39.357871877508494, \"wind\": 11.562263885182233, \"precipitation\": 88.42051387921796, \"condition\": \"fog\"}, {\"temperature\": -5.947154608637572, \"wind\": 86.90701738497849, \"precipitation\": 70.55832915444152, \"condition\": \"rain\"}, {\"temperature\": 32.82765627853655, \"wind\": 97.65897402212389, \"precipitation\": 82.65511533530304, \"condition\": \"sun\"}, {\"temperature\": 17.525999106231197, \"wind\": 65.52797477069528, \"precipitation\": 53.86256526101837, \"condition\": \"snow\"}, {\"temperature\": -6.80882656934652, \"wind\": 37.03429394195952, \"precipitation\": 93.86525481254682, \"condition\": \"drizzle\"}, {\"temperature\": 42.35997285539091, \"wind\": 72.00671240950793, \"precipitation\": 40.6587905336316, \"condition\": \"sun\"}, {\"temperature\": 12.236046428620227, \"wind\": 24.35537864304579, \"precipitation\": 83.89080965364893, \"condition\": \"sun\"}, {\"temperature\": 42.8103257781665, \"wind\": 29.81101459268268, \"precipitation\": 71.55020159752638, \"condition\": \"sun\"}, {\"temperature\": 22.54392113778252, \"wind\": 96.88264927669367, \"precipitation\": 57.21207145158276, \"condition\": \"rain\"}, {\"temperature\": 22.503608231529917, \"wind\": 73.45718441223443, \"precipitation\": 18.48099480479052, \"condition\": \"fog\"}, {\"temperature\": 20.697023061259923, \"wind\": 78.8085781529467, \"precipitation\": 82.06153728611223, \"condition\": \"drizzle\"}, {\"temperature\": 25.290109397291054, \"wind\": 80.30649374788099, \"precipitation\": 22.36608661432985, \"condition\": \"sun\"}, {\"temperature\": 38.2799313550365, \"wind\": 67.47085587574028, \"precipitation\": 20.740111999310816, \"condition\": \"snow\"}, {\"temperature\": 3.6725463468113624, \"wind\": 1.0115541087158841, \"precipitation\": 18.15771285571497, \"condition\": \"fog\"}, {\"temperature\": 43.05607594953013, \"wind\": 60.68482719845524, \"precipitation\": 57.77089873340201, \"condition\": \"drizzle\"}, {\"temperature\": 32.26702695541979, \"wind\": 51.25287908408247, \"precipitation\": 82.37499650298116, \"condition\": \"sun\"}, {\"temperature\": 20.65470025342109, \"wind\": 17.357994382399223, \"precipitation\": 61.85803419037972, \"condition\": \"snow\"}, {\"temperature\": 7.591958649416281, \"wind\": 56.87567133218157, \"precipitation\": 63.83705679953054, \"condition\": \"drizzle\"}, {\"temperature\": 34.12588295742098, \"wind\": 53.49706318356736, \"precipitation\": 39.89871505509641, \"condition\": \"drizzle\"}, {\"temperature\": 43.35047614485006, \"wind\": 25.611854852857896, \"precipitation\": 80.36992353488051, \"condition\": \"sun\"}, {\"temperature\": -0.6670916465821719, \"wind\": 85.48944217634627, \"precipitation\": 74.19603252504737, \"condition\": \"fog\"}, {\"temperature\": 27.71533514546813, \"wind\": 92.40258299219964, \"precipitation\": 35.46329445299181, \"condition\": \"sun\"}, {\"temperature\": 42.990310063528334, \"wind\": 4.767210553938305, \"precipitation\": 78.84896594785124, \"condition\": \"drizzle\"}, {\"temperature\": 12.78024257419457, \"wind\": 70.42789298007587, \"precipitation\": 32.19857853159736, \"condition\": \"rain\"}, {\"temperature\": 12.345464511586698, \"wind\": 96.37504245663669, \"precipitation\": 58.32326475918834, \"condition\": \"drizzle\"}, {\"temperature\": 16.615985139736694, \"wind\": 79.42654814203834, \"precipitation\": 13.002687080260278, \"condition\": \"drizzle\"}, {\"temperature\": 37.42489242698708, \"wind\": 61.345695045120095, \"precipitation\": 43.77564041090408, \"condition\": \"rain\"}, {\"temperature\": 4.4803758908315565, \"wind\": 49.77522034422004, \"precipitation\": 50.69600709811043, \"condition\": \"drizzle\"}, {\"temperature\": 24.097652039323982, \"wind\": 8.979384326640405, \"precipitation\": 30.641954593528485, \"condition\": \"sun\"}, {\"temperature\": -5.322217743871135, \"wind\": 61.189346843944705, \"precipitation\": 31.593229557269186, \"condition\": \"snow\"}, {\"temperature\": 9.656575236136984, \"wind\": 2.1373906951494104, \"precipitation\": 57.5465193225844, \"condition\": \"rain\"}, {\"temperature\": 23.09003214094531, \"wind\": 16.8504340533028, \"precipitation\": 49.38199137777561, \"condition\": \"snow\"}, {\"temperature\": -0.8910674950475652, \"wind\": 67.4372389241753, \"precipitation\": 44.01373586297284, \"condition\": \"drizzle\"}, {\"temperature\": 38.77628981797657, \"wind\": 19.349109733319814, \"precipitation\": 18.478064234157422, \"condition\": \"snow\"}, {\"temperature\": 3.4205075380082093, \"wind\": 27.407919047755026, \"precipitation\": 32.84745237938085, \"condition\": \"fog\"}, {\"temperature\": -5.033320662096024, \"wind\": 94.25698462447689, \"precipitation\": 43.460229120490254, \"condition\": \"fog\"}, {\"temperature\": -9.971237977814939, \"wind\": 93.98073112476098, \"precipitation\": 74.78247080628827, \"condition\": \"sun\"}, {\"temperature\": 14.882883965973484, \"wind\": 24.785612027523594, \"precipitation\": 51.19773747140527, \"condition\": \"drizzle\"}, {\"temperature\": 14.018034425277474, \"wind\": 91.62717881393021, \"precipitation\": 99.49522416477019, \"condition\": \"sun\"}, {\"temperature\": 31.305982604448104, \"wind\": 40.90373869893349, \"precipitation\": 74.89298496286528, \"condition\": \"rain\"}, {\"temperature\": 30.610723278623702, \"wind\": 42.06017669565571, \"precipitation\": 69.67703870061514, \"condition\": \"snow\"}, {\"temperature\": 34.74664418075527, \"wind\": 38.58462817605697, \"precipitation\": 67.82787083848606, \"condition\": \"sun\"}, {\"temperature\": 8.120514857460222, \"wind\": 98.79896637292207, \"precipitation\": 21.126567495900296, \"condition\": \"drizzle\"}, {\"temperature\": 21.830015183550092, \"wind\": 22.1211872838582, \"precipitation\": 79.23266981302642, \"condition\": \"fog\"}, {\"temperature\": 37.98236222048335, \"wind\": 3.9308035344873593, \"precipitation\": 14.592671850934291, \"condition\": \"rain\"}, {\"temperature\": 25.958872120055887, \"wind\": 30.880613774748145, \"precipitation\": 81.56963648865039, \"condition\": \"rain\"}, {\"temperature\": 35.17236224867325, \"wind\": 31.08177020391971, \"precipitation\": 24.18647666653794, \"condition\": \"rain\"}, {\"temperature\": 33.364342578760876, \"wind\": 2.9246595809319653, \"precipitation\": 12.15848602978733, \"condition\": \"fog\"}, {\"temperature\": -3.5902835942627487, \"wind\": 86.99227504041556, \"precipitation\": 2.3639517923128017, \"condition\": \"drizzle\"}, {\"temperature\": 43.53091004081406, \"wind\": 70.60869224087214, \"precipitation\": 66.94726954818158, \"condition\": \"rain\"}, {\"temperature\": 1.8337888199719252, \"wind\": 75.06866321814911, \"precipitation\": 53.6891397098117, \"condition\": \"sun\"}, {\"temperature\": 43.47830583880354, \"wind\": 71.68689230524836, \"precipitation\": 31.73117090776013, \"condition\": \"sun\"}, {\"temperature\": 24.70816388894937, \"wind\": 68.30107169120795, \"precipitation\": 20.50225020747416, \"condition\": \"snow\"}, {\"temperature\": 16.05118379980134, \"wind\": 52.99782792799144, \"precipitation\": 11.69028728553364, \"condition\": \"fog\"}, {\"temperature\": 28.077076050276126, \"wind\": 24.843732657120764, \"precipitation\": 7.7565838958533195, \"condition\": \"fog\"}, {\"temperature\": 26.313211105376084, \"wind\": 45.03333651941402, \"precipitation\": 31.41227095201218, \"condition\": \"fog\"}, {\"temperature\": 25.47932407524442, \"wind\": 87.21604759710651, \"precipitation\": 13.96847689136137, \"condition\": \"snow\"}, {\"temperature\": 11.036706749946731, \"wind\": 33.86229598446234, \"precipitation\": 38.968294579117845, \"condition\": \"rain\"}, {\"temperature\": 0.8142265953456, \"wind\": 70.98507415296346, \"precipitation\": 19.273374312321256, \"condition\": \"drizzle\"}, {\"temperature\": 25.391354725358426, \"wind\": 68.9460480155243, \"precipitation\": 93.11546643206357, \"condition\": \"fog\"}, {\"temperature\": 27.7726958317102, \"wind\": 15.439482065514532, \"precipitation\": 5.293937143885552, \"condition\": \"sun\"}, {\"temperature\": 3.0547946822445873, \"wind\": 86.42755659056152, \"precipitation\": 2.624712873155066, \"condition\": \"rain\"}, {\"temperature\": 39.42369527658811, \"wind\": 47.39700920935881, \"precipitation\": 41.728060203985706, \"condition\": \"rain\"}, {\"temperature\": 31.616549252691705, \"wind\": 31.294073920356126, \"precipitation\": 61.66414511625905, \"condition\": \"snow\"}, {\"temperature\": 37.73472491414072, \"wind\": 56.11305268794269, \"precipitation\": 81.92111265208045, \"condition\": \"fog\"}, {\"temperature\": 29.412459474532355, \"wind\": 46.76189099995182, \"precipitation\": 32.17901910781431, \"condition\": \"snow\"}, {\"temperature\": -5.305474080741154, \"wind\": 16.51061166938045, \"precipitation\": 40.72674907868328, \"condition\": \"fog\"}, {\"temperature\": 28.248344335114005, \"wind\": 74.65204013977382, \"precipitation\": 8.992377726473755, \"condition\": \"drizzle\"}, {\"temperature\": 40.71245089747694, \"wind\": 60.52030820865206, \"precipitation\": 5.486289017174572, \"condition\": \"rain\"}, {\"temperature\": 1.2855687063133647, \"wind\": 47.74453362846665, \"precipitation\": 77.71039918592594, \"condition\": \"drizzle\"}, {\"temperature\": 13.997864573343104, \"wind\": 99.2063323267444, \"precipitation\": 14.897152160823302, \"condition\": \"drizzle\"}, {\"temperature\": 18.825549046465813, \"wind\": 96.7516586164724, \"precipitation\": 62.15480712924485, \"condition\": \"rain\"}, {\"temperature\": 17.102600135203243, \"wind\": 95.33201102579268, \"precipitation\": 1.76947633335095, \"condition\": \"rain\"}, {\"temperature\": 31.603226292108516, \"wind\": 80.1260277875885, \"precipitation\": 19.250819441340848, \"condition\": \"drizzle\"}, {\"temperature\": 7.272202684808242, \"wind\": 8.416568701596594, \"precipitation\": 24.486546883662086, \"condition\": \"drizzle\"}, {\"temperature\": 6.42450547762995, \"wind\": 39.273237823513206, \"precipitation\": 59.175511527387584, \"condition\": \"sun\"}, {\"temperature\": 0.37651709537109035, \"wind\": 94.77902759827063, \"precipitation\": 28.64474524803353, \"condition\": \"fog\"}, {\"temperature\": 29.418237348870328, \"wind\": 73.1637224142291, \"precipitation\": 36.384371127988594, \"condition\": \"fog\"}, {\"temperature\": 32.58410407316762, \"wind\": 23.572673866731876, \"precipitation\": 21.78686177609982, \"condition\": \"sun\"}, {\"temperature\": 40.58331555194774, \"wind\": 12.46579946692835, \"precipitation\": 33.052715046353775, \"condition\": \"fog\"}, {\"temperature\": 15.02270799243955, \"wind\": 23.521353082533057, \"precipitation\": 0.5866372551906918, \"condition\": \"rain\"}, {\"temperature\": -1.5856356202583797, \"wind\": 58.706439422107415, \"precipitation\": 23.69625533115679, \"condition\": \"fog\"}, {\"temperature\": 39.83846166807995, \"wind\": 7.925060993257304, \"precipitation\": 73.27745598517468, \"condition\": \"snow\"}, {\"temperature\": 30.25106478610541, \"wind\": 53.60474576386106, \"precipitation\": 76.63592895791527, \"condition\": \"sun\"}, {\"temperature\": 12.08528607254729, \"wind\": 11.679210728025568, \"precipitation\": 21.30987094861694, \"condition\": \"drizzle\"}, {\"temperature\": 20.103305307522167, \"wind\": 35.51132614216856, \"precipitation\": 99.11641742479553, \"condition\": \"snow\"}, {\"temperature\": 34.61293495454381, \"wind\": 16.44814913694985, \"precipitation\": 76.5788070641912, \"condition\": \"sun\"}, {\"temperature\": 5.3304368864748515, \"wind\": 11.488543420187414, \"precipitation\": 23.611522242446682, \"condition\": \"rain\"}, {\"temperature\": 10.624231316087673, \"wind\": 89.57677208906625, \"precipitation\": 17.901521820239154, \"condition\": \"rain\"}, {\"temperature\": 16.45869339879156, \"wind\": 82.14358903068431, \"precipitation\": 50.5274648107178, \"condition\": \"drizzle\"}, {\"temperature\": 30.4859555666389, \"wind\": 85.43429025210673, \"precipitation\": 99.7314407177562, \"condition\": \"sun\"}, {\"temperature\": -7.842697704519862, \"wind\": 20.10431994181, \"precipitation\": 8.499755604198123, \"condition\": \"drizzle\"}, {\"temperature\": 23.82197430970396, \"wind\": 30.71236264475776, \"precipitation\": 91.23232368725205, \"condition\": \"snow\"}, {\"temperature\": 43.63862559514364, \"wind\": 28.821660476932877, \"precipitation\": 99.71103207097889, \"condition\": \"fog\"}, {\"temperature\": 8.981532662882305, \"wind\": 35.921027372850865, \"precipitation\": 91.12082810014113, \"condition\": \"fog\"}, {\"temperature\": 26.077729266653087, \"wind\": 63.53612288999908, \"precipitation\": 90.09748712912719, \"condition\": \"sun\"}, {\"temperature\": 38.44181274295784, \"wind\": 71.99143401846956, \"precipitation\": 21.221688878355216, \"condition\": \"rain\"}, {\"temperature\": 34.78710550916185, \"wind\": 89.27467266301889, \"precipitation\": 41.1955282025937, \"condition\": \"sun\"}, {\"temperature\": -5.848035132361012, \"wind\": 57.23792962073, \"precipitation\": 64.23162970775795, \"condition\": \"rain\"}, {\"temperature\": 0.6933169720006127, \"wind\": 72.76756692493736, \"precipitation\": 62.223235261304524, \"condition\": \"drizzle\"}]}}, {\"mode\": \"vega-lite\"});\n</script>",
+      "text/plain": "alt.HConcatChart(...)"
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "base = alt.Chart(df)\n",
+    "\n",
+    "tick = base.mark_tick().encode(\n",
+    "    y=alt.Y(field='temperature', type='quantitative')\n",
+    ")\n",
+    "view_1 = tick\n",
+    "\n",
+    "bar = base.mark_bar().encode(\n",
+    "    x=alt.X(field='condition', type='nominal'),\n",
+    "    y=alt.Y(field='temperature', type='quantitative', aggregate='mean')\n",
+    ")\n",
+    "view_2 = bar\n",
+    "chart = alt.hconcat(view_1, view_2).resolve_scale(\n",
+    "    y='shared'\n",
+    ")\n",
+    "\n",
+    "display_chart(chart)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 78,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.10.3"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 1
+}

From 932ed30f8e2825399fccc26f8809341641fed075 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?P=C3=A9ter=20Ferenc=20Gyarmati?= <dev.petergy@gmail.com>
Date: Tue, 8 Nov 2022 08:58:56 +0100
Subject: [PATCH 02/45] feat: base renderer progress

---
 docs/facts/examples-vl.ipynb | 1359 +++++++++++++++++++---------------
 draco/renderer.py            |  155 ++++
 draco/utils.py               |    6 +
 3 files changed, 916 insertions(+), 604 deletions(-)
 create mode 100644 draco/renderer.py

diff --git a/docs/facts/examples-vl.ipynb b/docs/facts/examples-vl.ipynb
index 25235fd0..026d3970 100644
--- a/docs/facts/examples-vl.ipynb
+++ b/docs/facts/examples-vl.ipynb
@@ -11,7 +11,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 40,
+   "execution_count": 164,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -24,7 +24,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 41,
+   "execution_count": 165,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -35,24 +35,25 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 42,
+   "execution_count": 166,
    "metadata": {},
    "outputs": [],
    "source": [
     "from IPython.display import display\n",
     "import json\n",
     "\n",
+    "\n",
     "def display_chart(chart: alt.Chart):\n",
     "    dct = json.loads(chart.to_json())\n",
-    "    dct.pop('data')\n",
-    "    dct.pop('datasets')\n",
+    "    dct.pop(\"data\")\n",
+    "    dct.pop(\"datasets\")\n",
     "    pprint(dct)\n",
     "    display(chart)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 43,
+   "execution_count": 167,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -70,22 +71,25 @@
     "        \"temperature\": [random.uniform(-10, 44) for _ in range(NUM_ROWS)],\n",
     "        \"wind\": [random.uniform(0, 100) for _ in range(NUM_ROWS)],\n",
     "        \"precipitation\": [random.uniform(0, 100) for _ in range(NUM_ROWS)],\n",
-    "        \"condition\": [random.choice([\"drizzle\", \"fog\", \"rain\", \"sun\", \"snow\"]) for _ in range(NUM_ROWS)],\n",
+    "        \"condition\": [\n",
+    "            random.choice([\"drizzle\", \"fog\", \"rain\", \"sun\", \"snow\"])\n",
+    "            for _ in range(NUM_ROWS)\n",
+    "        ],\n",
     "    }\n",
-    ")\n"
+    ")"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 44,
+   "execution_count": 168,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "text/plain": "   temperature       wind  precipitation condition\n0    39.357872  11.562264      88.420514       fog\n1    -5.947155  86.907017      70.558329      rain\n2    32.827656  97.658974      82.655115       sun\n3    17.525999  65.527975      53.862565      snow\n4    -6.808827  37.034294      93.865255   drizzle",
-      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>temperature</th>\n      <th>wind</th>\n      <th>precipitation</th>\n      <th>condition</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>39.357872</td>\n      <td>11.562264</td>\n      <td>88.420514</td>\n      <td>fog</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>-5.947155</td>\n      <td>86.907017</td>\n      <td>70.558329</td>\n      <td>rain</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>32.827656</td>\n      <td>97.658974</td>\n      <td>82.655115</td>\n      <td>sun</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>17.525999</td>\n      <td>65.527975</td>\n      <td>53.862565</td>\n      <td>snow</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>-6.808827</td>\n      <td>37.034294</td>\n      <td>93.865255</td>\n      <td>drizzle</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
+      "text/plain": "   temperature       wind  precipitation condition\n0    15.949649  44.064475      39.571021       sun\n1    35.804103  57.347114      51.104157      snow\n2    34.390488  96.360482      40.969804   drizzle\n3     7.204886  25.146399      85.490179   drizzle\n4    19.552840  57.883961      73.697679       sun",
+      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>temperature</th>\n      <th>wind</th>\n      <th>precipitation</th>\n      <th>condition</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>15.949649</td>\n      <td>44.064475</td>\n      <td>39.571021</td>\n      <td>sun</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>35.804103</td>\n      <td>57.347114</td>\n      <td>51.104157</td>\n      <td>snow</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>34.390488</td>\n      <td>96.360482</td>\n      <td>40.969804</td>\n      <td>drizzle</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>7.204886</td>\n      <td>25.146399</td>\n      <td>85.490179</td>\n      <td>drizzle</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>19.552840</td>\n      <td>57.883961</td>\n      <td>73.697679</td>\n      <td>sun</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
      },
-     "execution_count": 44,
+     "execution_count": 168,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -110,7 +114,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 45,
+   "execution_count": 169,
    "metadata": {},
    "outputs": [
     {
@@ -126,26 +130,28 @@
     }
    ],
    "source": [
-    "facts = ['attribute(number_rows,root,100).',\n",
-    " 'entity(field,root,temperature).',\n",
-    " 'attribute((field,name),temperature,temperature).',\n",
-    " 'attribute((field,type),temperature,number).',\n",
-    " 'entity(view,root,0).',\n",
-    " 'entity(mark,0,1).',\n",
-    " 'attribute((mark,type),1,tick).',\n",
-    " 'entity(encoding,1,2).',\n",
-    " 'attribute((encoding,channel),2,x).',\n",
-    " 'attribute((encoding,field),2,temperature).',\n",
-    " 'entity(scale,0,3).',\n",
-    " 'attribute((scale,channel),3,x).',\n",
-    " 'attribute((scale,type),3,linear).']\n",
+    "facts = [\n",
+    "    \"attribute(number_rows,root,100).\",\n",
+    "    \"entity(field,root,temperature).\",\n",
+    "    \"attribute((field,name),temperature,temperature).\",\n",
+    "    \"attribute((field,type),temperature,number).\",\n",
+    "    \"entity(view,root,0).\",\n",
+    "    \"entity(mark,0,1).\",\n",
+    "    \"attribute((mark,type),1,tick).\",\n",
+    "    \"entity(encoding,1,2).\",\n",
+    "    \"attribute((encoding,channel),2,x).\",\n",
+    "    \"attribute((encoding,field),2,temperature).\",\n",
+    "    \"entity(scale,0,3).\",\n",
+    "    \"attribute((scale,channel),3,x).\",\n",
+    "    \"attribute((scale,type),3,linear).\",\n",
+    "]\n",
     "spec = facts_to_dict(facts)\n",
     "pprint(spec)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 46,
+   "execution_count": 170,
    "metadata": {},
    "outputs": [
     {
@@ -170,7 +176,7 @@
     },
     {
      "data": {
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See the javascript console for the full traceback.`));\n    }\n\n    if(typeof define === \"function\" && define.amd) {\n      requirejs.config({paths});\n      require([\"vega-embed\"], displayChart, err => showError(`Error loading script: ${err.message}`));\n    } else {\n      maybeLoadScript(\"vega\", \"5\")\n        .then(() => maybeLoadScript(\"vega-lite\", \"4.17.0\"))\n        .then(() => maybeLoadScript(\"vega-embed\", \"6\"))\n        .catch(showError)\n        .then(() => displayChart(vegaEmbed));\n    }\n  })({\"config\": {\"view\": {\"continuousWidth\": 400, \"continuousHeight\": 300}}, \"data\": {\"name\": \"data-80b0e930866eee6a77413fd6e0890a78\"}, \"mark\": \"tick\", \"encoding\": {\"x\": {\"field\": \"temperature\", \"scale\": {\"type\": \"linear\"}, \"type\": \"quantitative\"}}, \"$schema\": \"https://vega.github.io/schema/vega-lite/v4.17.0.json\", \"datasets\": {\"data-80b0e930866eee6a77413fd6e0890a78\": [{\"temperature\": 39.357871877508494, \"wind\": 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{\"temperature\": 22.54392113778252, \"wind\": 96.88264927669367, \"precipitation\": 57.21207145158276, \"condition\": \"rain\"}, {\"temperature\": 22.503608231529917, \"wind\": 73.45718441223443, \"precipitation\": 18.48099480479052, \"condition\": \"fog\"}, {\"temperature\": 20.697023061259923, \"wind\": 78.8085781529467, \"precipitation\": 82.06153728611223, \"condition\": \"drizzle\"}, {\"temperature\": 25.290109397291054, \"wind\": 80.30649374788099, \"precipitation\": 22.36608661432985, \"condition\": \"sun\"}, {\"temperature\": 38.2799313550365, \"wind\": 67.47085587574028, \"precipitation\": 20.740111999310816, \"condition\": \"snow\"}, {\"temperature\": 3.6725463468113624, \"wind\": 1.0115541087158841, \"precipitation\": 18.15771285571497, \"condition\": \"fog\"}, {\"temperature\": 43.05607594953013, \"wind\": 60.68482719845524, \"precipitation\": 57.77089873340201, \"condition\": \"drizzle\"}, {\"temperature\": 32.26702695541979, \"wind\": 51.25287908408247, \"precipitation\": 82.37499650298116, \"condition\": \"sun\"}, {\"temperature\": 20.65470025342109, \"wind\": 17.357994382399223, \"precipitation\": 61.85803419037972, \"condition\": \"snow\"}, {\"temperature\": 7.591958649416281, \"wind\": 56.87567133218157, \"precipitation\": 63.83705679953054, \"condition\": \"drizzle\"}, {\"temperature\": 34.12588295742098, \"wind\": 53.49706318356736, \"precipitation\": 39.89871505509641, \"condition\": \"drizzle\"}, {\"temperature\": 43.35047614485006, \"wind\": 25.611854852857896, \"precipitation\": 80.36992353488051, \"condition\": \"sun\"}, {\"temperature\": -0.6670916465821719, \"wind\": 85.48944217634627, \"precipitation\": 74.19603252504737, \"condition\": \"fog\"}, {\"temperature\": 27.71533514546813, \"wind\": 92.40258299219964, \"precipitation\": 35.46329445299181, \"condition\": \"sun\"}, {\"temperature\": 42.990310063528334, \"wind\": 4.767210553938305, \"precipitation\": 78.84896594785124, \"condition\": \"drizzle\"}, {\"temperature\": 12.78024257419457, \"wind\": 70.42789298007587, \"precipitation\": 32.19857853159736, \"condition\": \"rain\"}, {\"temperature\": 12.345464511586698, \"wind\": 96.37504245663669, \"precipitation\": 58.32326475918834, \"condition\": \"drizzle\"}, {\"temperature\": 16.615985139736694, \"wind\": 79.42654814203834, \"precipitation\": 13.002687080260278, \"condition\": \"drizzle\"}, {\"temperature\": 37.42489242698708, \"wind\": 61.345695045120095, \"precipitation\": 43.77564041090408, \"condition\": \"rain\"}, {\"temperature\": 4.4803758908315565, \"wind\": 49.77522034422004, \"precipitation\": 50.69600709811043, \"condition\": \"drizzle\"}, {\"temperature\": 24.097652039323982, \"wind\": 8.979384326640405, \"precipitation\": 30.641954593528485, \"condition\": \"sun\"}, {\"temperature\": -5.322217743871135, \"wind\": 61.189346843944705, \"precipitation\": 31.593229557269186, \"condition\": \"snow\"}, {\"temperature\": 9.656575236136984, \"wind\": 2.1373906951494104, 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{\"temperature\": 14.018034425277474, \"wind\": 91.62717881393021, \"precipitation\": 99.49522416477019, \"condition\": \"sun\"}, {\"temperature\": 31.305982604448104, \"wind\": 40.90373869893349, \"precipitation\": 74.89298496286528, \"condition\": \"rain\"}, {\"temperature\": 30.610723278623702, \"wind\": 42.06017669565571, \"precipitation\": 69.67703870061514, \"condition\": \"snow\"}, {\"temperature\": 34.74664418075527, \"wind\": 38.58462817605697, \"precipitation\": 67.82787083848606, \"condition\": \"sun\"}, {\"temperature\": 8.120514857460222, \"wind\": 98.79896637292207, \"precipitation\": 21.126567495900296, \"condition\": \"drizzle\"}, {\"temperature\": 21.830015183550092, \"wind\": 22.1211872838582, \"precipitation\": 79.23266981302642, \"condition\": \"fog\"}, {\"temperature\": 37.98236222048335, \"wind\": 3.9308035344873593, \"precipitation\": 14.592671850934291, \"condition\": \"rain\"}, {\"temperature\": 25.958872120055887, \"wind\": 30.880613774748145, \"precipitation\": 81.56963648865039, \"condition\": \"rain\"}, {\"temperature\": 35.17236224867325, \"wind\": 31.08177020391971, \"precipitation\": 24.18647666653794, \"condition\": \"rain\"}, {\"temperature\": 33.364342578760876, \"wind\": 2.9246595809319653, \"precipitation\": 12.15848602978733, \"condition\": \"fog\"}, {\"temperature\": -3.5902835942627487, \"wind\": 86.99227504041556, \"precipitation\": 2.3639517923128017, \"condition\": \"drizzle\"}, {\"temperature\": 43.53091004081406, \"wind\": 70.60869224087214, \"precipitation\": 66.94726954818158, \"condition\": \"rain\"}, {\"temperature\": 1.8337888199719252, \"wind\": 75.06866321814911, \"precipitation\": 53.6891397098117, \"condition\": \"sun\"}, {\"temperature\": 43.47830583880354, \"wind\": 71.68689230524836, \"precipitation\": 31.73117090776013, \"condition\": \"sun\"}, {\"temperature\": 24.70816388894937, \"wind\": 68.30107169120795, \"precipitation\": 20.50225020747416, \"condition\": \"snow\"}, {\"temperature\": 16.05118379980134, \"wind\": 52.99782792799144, \"precipitation\": 11.69028728553364, \"condition\": \"fog\"}, {\"temperature\": 28.077076050276126, \"wind\": 24.843732657120764, \"precipitation\": 7.7565838958533195, \"condition\": \"fog\"}, {\"temperature\": 26.313211105376084, \"wind\": 45.03333651941402, \"precipitation\": 31.41227095201218, \"condition\": \"fog\"}, {\"temperature\": 25.47932407524442, \"wind\": 87.21604759710651, \"precipitation\": 13.96847689136137, \"condition\": \"snow\"}, {\"temperature\": 11.036706749946731, \"wind\": 33.86229598446234, \"precipitation\": 38.968294579117845, \"condition\": \"rain\"}, {\"temperature\": 0.8142265953456, \"wind\": 70.98507415296346, \"precipitation\": 19.273374312321256, \"condition\": \"drizzle\"}, {\"temperature\": 25.391354725358426, \"wind\": 68.9460480155243, \"precipitation\": 93.11546643206357, \"condition\": \"fog\"}, {\"temperature\": 27.7726958317102, \"wind\": 15.439482065514532, \"precipitation\": 5.293937143885552, \"condition\": \"sun\"}, {\"temperature\": 3.0547946822445873, \"wind\": 86.42755659056152, \"precipitation\": 2.624712873155066, \"condition\": \"rain\"}, {\"temperature\": 39.42369527658811, \"wind\": 47.39700920935881, \"precipitation\": 41.728060203985706, \"condition\": \"rain\"}, {\"temperature\": 31.616549252691705, \"wind\": 31.294073920356126, \"precipitation\": 61.66414511625905, \"condition\": \"snow\"}, {\"temperature\": 37.73472491414072, \"wind\": 56.11305268794269, \"precipitation\": 81.92111265208045, \"condition\": \"fog\"}, {\"temperature\": 29.412459474532355, \"wind\": 46.76189099995182, \"precipitation\": 32.17901910781431, \"condition\": \"snow\"}, {\"temperature\": -5.305474080741154, \"wind\": 16.51061166938045, \"precipitation\": 40.72674907868328, \"condition\": \"fog\"}, {\"temperature\": 28.248344335114005, \"wind\": 74.65204013977382, \"precipitation\": 8.992377726473755, \"condition\": \"drizzle\"}, {\"temperature\": 40.71245089747694, \"wind\": 60.52030820865206, \"precipitation\": 5.486289017174572, \"condition\": \"rain\"}, {\"temperature\": 1.2855687063133647, \"wind\": 47.74453362846665, \"precipitation\": 77.71039918592594, \"condition\": \"drizzle\"}, {\"temperature\": 13.997864573343104, \"wind\": 99.2063323267444, \"precipitation\": 14.897152160823302, \"condition\": \"drizzle\"}, {\"temperature\": 18.825549046465813, \"wind\": 96.7516586164724, \"precipitation\": 62.15480712924485, \"condition\": \"rain\"}, {\"temperature\": 17.102600135203243, \"wind\": 95.33201102579268, \"precipitation\": 1.76947633335095, \"condition\": \"rain\"}, {\"temperature\": 31.603226292108516, \"wind\": 80.1260277875885, \"precipitation\": 19.250819441340848, \"condition\": \"drizzle\"}, {\"temperature\": 7.272202684808242, \"wind\": 8.416568701596594, \"precipitation\": 24.486546883662086, \"condition\": \"drizzle\"}, {\"temperature\": 6.42450547762995, \"wind\": 39.273237823513206, \"precipitation\": 59.175511527387584, \"condition\": \"sun\"}, {\"temperature\": 0.37651709537109035, \"wind\": 94.77902759827063, \"precipitation\": 28.64474524803353, \"condition\": \"fog\"}, {\"temperature\": 29.418237348870328, \"wind\": 73.1637224142291, \"precipitation\": 36.384371127988594, \"condition\": \"fog\"}, {\"temperature\": 32.58410407316762, \"wind\": 23.572673866731876, \"precipitation\": 21.78686177609982, \"condition\": \"sun\"}, {\"temperature\": 40.58331555194774, \"wind\": 12.46579946692835, \"precipitation\": 33.052715046353775, \"condition\": \"fog\"}, {\"temperature\": 15.02270799243955, \"wind\": 23.521353082533057, \"precipitation\": 0.5866372551906918, \"condition\": \"rain\"}, {\"temperature\": -1.5856356202583797, \"wind\": 58.706439422107415, \"precipitation\": 23.69625533115679, \"condition\": \"fog\"}, {\"temperature\": 39.83846166807995, \"wind\": 7.925060993257304, \"precipitation\": 73.27745598517468, \"condition\": \"snow\"}, {\"temperature\": 30.25106478610541, \"wind\": 53.60474576386106, \"precipitation\": 76.63592895791527, \"condition\": \"sun\"}, {\"temperature\": 12.08528607254729, \"wind\": 11.679210728025568, \"precipitation\": 21.30987094861694, \"condition\": \"drizzle\"}, {\"temperature\": 20.103305307522167, \"wind\": 35.51132614216856, \"precipitation\": 99.11641742479553, \"condition\": \"snow\"}, {\"temperature\": 34.61293495454381, \"wind\": 16.44814913694985, \"precipitation\": 76.5788070641912, \"condition\": \"sun\"}, {\"temperature\": 5.3304368864748515, \"wind\": 11.488543420187414, \"precipitation\": 23.611522242446682, \"condition\": \"rain\"}, {\"temperature\": 10.624231316087673, \"wind\": 89.57677208906625, \"precipitation\": 17.901521820239154, \"condition\": \"rain\"}, {\"temperature\": 16.45869339879156, \"wind\": 82.14358903068431, \"precipitation\": 50.5274648107178, \"condition\": \"drizzle\"}, {\"temperature\": 30.4859555666389, \"wind\": 85.43429025210673, \"precipitation\": 99.7314407177562, \"condition\": \"sun\"}, {\"temperature\": -7.842697704519862, \"wind\": 20.10431994181, \"precipitation\": 8.499755604198123, \"condition\": \"drizzle\"}, {\"temperature\": 23.82197430970396, \"wind\": 30.71236264475776, \"precipitation\": 91.23232368725205, \"condition\": \"snow\"}, {\"temperature\": 43.63862559514364, \"wind\": 28.821660476932877, \"precipitation\": 99.71103207097889, \"condition\": \"fog\"}, {\"temperature\": 8.981532662882305, \"wind\": 35.921027372850865, \"precipitation\": 91.12082810014113, \"condition\": \"fog\"}, {\"temperature\": 26.077729266653087, \"wind\": 63.53612288999908, \"precipitation\": 90.09748712912719, \"condition\": \"sun\"}, {\"temperature\": 38.44181274295784, \"wind\": 71.99143401846956, \"precipitation\": 21.221688878355216, \"condition\": \"rain\"}, {\"temperature\": 34.78710550916185, \"wind\": 89.27467266301889, \"precipitation\": 41.1955282025937, \"condition\": \"sun\"}, {\"temperature\": -5.848035132361012, \"wind\": 57.23792962073, \"precipitation\": 64.23162970775795, \"condition\": \"rain\"}, {\"temperature\": 0.6933169720006127, \"wind\": 72.76756692493736, \"precipitation\": 62.223235261304524, \"condition\": \"drizzle\"}]}}, {\"mode\": \"vega-lite\"});\n</script>",
+      "text/html": "\n<div id=\"altair-viz-44c4c27c76df48a5b03d0962a4e62df7\"></div>\n<script type=\"text/javascript\">\n  var VEGA_DEBUG = (typeof VEGA_DEBUG == \"undefined\") ? {} : VEGA_DEBUG;\n  (function(spec, embedOpt){\n    let outputDiv = document.currentScript.previousElementSibling;\n    if (outputDiv.id !== \"altair-viz-44c4c27c76df48a5b03d0962a4e62df7\") {\n      outputDiv = document.getElementById(\"altair-viz-44c4c27c76df48a5b03d0962a4e62df7\");\n    }\n    const paths = {\n      \"vega\": \"https://cdn.jsdelivr.net/npm//vega@5?noext\",\n      \"vega-lib\": \"https://cdn.jsdelivr.net/npm//vega-lib?noext\",\n      \"vega-lite\": \"https://cdn.jsdelivr.net/npm//vega-lite@4.17.0?noext\",\n      \"vega-embed\": \"https://cdn.jsdelivr.net/npm//vega-embed@6?noext\",\n    };\n\n    function maybeLoadScript(lib, version) {\n      var key = `${lib.replace(\"-\", \"\")}_version`;\n      return (VEGA_DEBUG[key] == version) ?\n        Promise.resolve(paths[lib]) :\n        new Promise(function(resolve, reject) {\n          var s = document.createElement('script');\n          document.getElementsByTagName(\"head\")[0].appendChild(s);\n          s.async = true;\n          s.onload = () => {\n            VEGA_DEBUG[key] = version;\n            return resolve(paths[lib]);\n          };\n          s.onerror = () => reject(`Error loading script: ${paths[lib]}`);\n          s.src = paths[lib];\n        });\n    }\n\n    function showError(err) {\n      outputDiv.innerHTML = `<div class=\"error\" style=\"color:red;\">${err}</div>`;\n      throw err;\n    }\n\n    function displayChart(vegaEmbed) {\n      vegaEmbed(outputDiv, spec, embedOpt)\n        .catch(err => showError(`Javascript Error: ${err.message}<br>This usually means there's a typo in your chart specification. See the javascript console for the full traceback.`));\n    }\n\n    if(typeof define === \"function\" && define.amd) {\n      requirejs.config({paths});\n      require([\"vega-embed\"], displayChart, err => showError(`Error loading script: ${err.message}`));\n    } else {\n      maybeLoadScript(\"vega\", \"5\")\n        .then(() => maybeLoadScript(\"vega-lite\", \"4.17.0\"))\n        .then(() => maybeLoadScript(\"vega-embed\", \"6\"))\n        .catch(showError)\n        .then(() => displayChart(vegaEmbed));\n    }\n  })({\"config\": {\"view\": {\"continuousWidth\": 400, \"continuousHeight\": 300}}, \"data\": {\"name\": \"data-62648c40dc40a84dcc0ff734b69b013d\"}, \"mark\": \"tick\", \"encoding\": {\"x\": {\"field\": \"temperature\", \"scale\": {\"type\": \"linear\"}, \"type\": \"quantitative\"}}, \"$schema\": \"https://vega.github.io/schema/vega-lite/v4.17.0.json\", \"datasets\": {\"data-62648c40dc40a84dcc0ff734b69b013d\": [{\"temperature\": 15.949648750822519, \"wind\": 44.064474882832506, \"precipitation\": 39.57102111167698, \"condition\": \"sun\"}, {\"temperature\": 35.80410298761198, \"wind\": 57.347114406626844, \"precipitation\": 51.104157124186436, \"condition\": \"snow\"}, {\"temperature\": 34.39048786822457, \"wind\": 96.36048231593197, \"precipitation\": 40.96980376900311, \"condition\": \"drizzle\"}, {\"temperature\": 7.204885708939138, \"wind\": 25.146399378672125, \"precipitation\": 85.49017897658906, \"condition\": \"drizzle\"}, {\"temperature\": 19.55284015712061, \"wind\": 57.88396140686759, \"precipitation\": 73.6976786812617, \"condition\": \"sun\"}, {\"temperature\": 40.95867840323979, \"wind\": 18.240723526069058, \"precipitation\": 12.344374169099414, \"condition\": \"drizzle\"}, {\"temperature\": 8.037410652418316, \"wind\": 34.85524928680391, \"precipitation\": 47.39721336761291, \"condition\": \"drizzle\"}, {\"temperature\": -0.9238346314127046, \"wind\": 38.27888770381765, \"precipitation\": 49.084327395470694, \"condition\": \"snow\"}, {\"temperature\": 5.432162476529914, \"wind\": 26.375774021896824, \"precipitation\": 11.84973364714308, \"condition\": \"fog\"}, {\"temperature\": -0.5233284049906253, \"wind\": 20.341299498563536, \"precipitation\": 17.599397407184547, \"condition\": \"rain\"}, {\"temperature\": -0.32120652264539906, \"wind\": 56.70670804712174, \"precipitation\": 27.900390497052797, \"condition\": \"snow\"}, {\"temperature\": -5.8172209322540835, \"wind\": 7.922327363206739, \"precipitation\": 58.97450879694346, \"condition\": \"sun\"}, {\"temperature\": 29.348029927183475, \"wind\": 42.36486641293023, \"precipitation\": 52.297851298205714, \"condition\": \"snow\"}, {\"temperature\": -3.170224211296139, \"wind\": 25.422063817654927, \"precipitation\": 75.95709912967573, \"condition\": \"sun\"}, {\"temperature\": 29.762058145832015, \"wind\": 60.50785926641081, \"precipitation\": 27.63426836016134, \"condition\": \"sun\"}, {\"temperature\": -2.4226248703646167, \"wind\": 71.82451957436714, \"precipitation\": 27.866577679535155, \"condition\": \"rain\"}, {\"temperature\": 27.72342502276807, \"wind\": 25.495165547172526, \"precipitation\": 56.952472897674525, \"condition\": \"rain\"}, {\"temperature\": 42.86155275131322, \"wind\": 64.07798840013274, \"precipitation\": 43.20732916361416, \"condition\": \"drizzle\"}, {\"temperature\": 17.672356545916294, \"wind\": 69.76681823406481, \"precipitation\": 4.878513449934685, \"condition\": \"snow\"}, {\"temperature\": 14.10656929258668, \"wind\": 57.176270850584096, \"precipitation\": 22.99874996214144, \"condition\": \"sun\"}, {\"temperature\": 13.738975343826219, \"wind\": 47.92233289336022, \"precipitation\": 14.35681797090771, \"condition\": \"drizzle\"}, {\"temperature\": 38.54857944378019, \"wind\": 71.3951998928714, \"precipitation\": 47.86763119099666, \"condition\": \"rain\"}, {\"temperature\": 35.41541728844566, \"wind\": 15.372466094026361, \"precipitation\": 10.140892669165568, \"condition\": \"drizzle\"}, {\"temperature\": 42.8109485726051, \"wind\": 19.292730074798236, \"precipitation\": 83.72184051359054, \"condition\": \"sun\"}, {\"temperature\": 5.541837860134734, \"wind\": 37.91528502390926, \"precipitation\": 1.806095907348293, \"condition\": \"rain\"}, {\"temperature\": 31.26072818540954, \"wind\": 25.613046818128893, \"precipitation\": 93.99993502991724, \"condition\": \"snow\"}, {\"temperature\": 12.652262480706526, \"wind\": 19.716955298970042, \"precipitation\": 4.277209571833773, \"condition\": \"snow\"}, {\"temperature\": 27.464734441100425, \"wind\": 18.45750848171699, \"precipitation\": 14.862245845341137, \"condition\": \"snow\"}, {\"temperature\": 39.17194283180486, \"wind\": 62.584966101983305, \"precipitation\": 61.90806088367137, \"condition\": \"drizzle\"}, {\"temperature\": 20.57556038458332, \"wind\": 6.979458445589614, \"precipitation\": 26.20161503090155, \"condition\": \"fog\"}, {\"temperature\": 43.4376707328582, \"wind\": 91.72880025636312, \"precipitation\": 49.92669754392897, \"condition\": \"rain\"}, {\"temperature\": 37.392448305959796, \"wind\": 37.3453361137289, \"precipitation\": 79.01145543700821, \"condition\": \"rain\"}, {\"temperature\": -0.9740355983502056, \"wind\": 52.36556373635527, \"precipitation\": 30.452338583138562, \"condition\": \"fog\"}, {\"temperature\": 32.483093158374864, \"wind\": 88.0719315131664, \"precipitation\": 79.80325870322564, \"condition\": \"drizzle\"}, {\"temperature\": 35.06833977125789, \"wind\": 20.182255224013822, \"precipitation\": 68.32831560054159, \"condition\": \"drizzle\"}, {\"temperature\": 30.648689765220006, \"wind\": 70.20845647358497, \"precipitation\": 14.839756419615913, \"condition\": \"fog\"}, {\"temperature\": 17.568761783892697, \"wind\": 23.56533394038428, \"precipitation\": 33.43028312709272, \"condition\": \"fog\"}, {\"temperature\": 37.668328098899124, \"wind\": 25.752457285889363, \"precipitation\": 22.16206318576326, \"condition\": \"fog\"}, {\"temperature\": 5.014064033030415, \"wind\": 35.85304116185546, \"precipitation\": 50.430635606761776, \"condition\": \"drizzle\"}, {\"temperature\": 0.07199515030012726, \"wind\": 2.3037918503235444, \"precipitation\": 43.68655656674591, \"condition\": \"snow\"}, {\"temperature\": 5.954592424892175, \"wind\": 97.51084981729826, \"precipitation\": 18.937945167300562, \"condition\": \"fog\"}, {\"temperature\": 30.328519543203832, \"wind\": 11.124122490003696, \"precipitation\": 16.09587268986017, \"condition\": \"rain\"}, {\"temperature\": 14.46236976140856, \"wind\": 51.39244007969178, \"precipitation\": 51.52316459464377, \"condition\": \"fog\"}, {\"temperature\": 9.396286885496181, \"wind\": 14.413632366424933, \"precipitation\": 58.34025135533383, \"condition\": \"drizzle\"}, {\"temperature\": -7.883075294840844, \"wind\": 98.24018815877206, \"precipitation\": 51.405831276908884, \"condition\": \"snow\"}, {\"temperature\": 36.853296493232534, \"wind\": 17.44230067062308, \"precipitation\": 55.91312117168676, \"condition\": \"drizzle\"}, {\"temperature\": -9.582596783874624, \"wind\": 23.835535427130438, \"precipitation\": 61.605688998244446, \"condition\": \"fog\"}, {\"temperature\": -9.419128745924892, \"wind\": 53.25395558360789, \"precipitation\": 78.4515605013817, \"condition\": \"sun\"}, {\"temperature\": 4.571583314676532, \"wind\": 9.068613866100073, \"precipitation\": 42.448264608376526, \"condition\": \"rain\"}, {\"temperature\": 6.6203336157740615, \"wind\": 35.87691221835703, \"precipitation\": 64.98980696659649, \"condition\": \"rain\"}, {\"temperature\": 20.627672555392106, \"wind\": 28.946823430475742, \"precipitation\": 14.301584887467733, \"condition\": \"rain\"}, {\"temperature\": -9.583736731217567, \"wind\": 83.64814422156614, \"precipitation\": 35.873227198260004, \"condition\": \"snow\"}, {\"temperature\": 11.018260277272166, \"wind\": 82.98059861355699, \"precipitation\": 67.52390799343073, \"condition\": \"drizzle\"}, {\"temperature\": 5.411451095385809, \"wind\": 21.05653192591779, \"precipitation\": 98.10920750481597, \"condition\": \"fog\"}, {\"temperature\": 2.807402352777551, \"wind\": 40.81431754466085, \"precipitation\": 17.10555449196962, \"condition\": \"drizzle\"}, {\"temperature\": 33.60928142306782, \"wind\": 68.86862385408263, \"precipitation\": 1.7511520670655312, \"condition\": \"drizzle\"}, {\"temperature\": -3.7305842295491463, \"wind\": 22.99270590580842, \"precipitation\": 20.45024425044729, \"condition\": \"sun\"}, {\"temperature\": 38.88636288200788, \"wind\": 4.451268770649408, \"precipitation\": 50.18581381273084, \"condition\": \"snow\"}, {\"temperature\": 30.677916880360065, \"wind\": 57.58927095398997, \"precipitation\": 3.882294040985468, \"condition\": \"sun\"}, {\"temperature\": 20.936747003011536, \"wind\": 86.15890903839221, \"precipitation\": 84.64626055952643, \"condition\": \"sun\"}, {\"temperature\": 37.960508459665974, \"wind\": 83.22348385800635, \"precipitation\": 78.09579123477448, \"condition\": \"sun\"}, {\"temperature\": 2.789340992140385, \"wind\": 5.604841844996544, \"precipitation\": 64.23176719571818, \"condition\": \"rain\"}, {\"temperature\": -7.362921707472104, \"wind\": 57.37740217449133, \"precipitation\": 18.499742279296438, \"condition\": \"sun\"}, {\"temperature\": 1.1912189059593281, \"wind\": 46.52929788933954, \"precipitation\": 56.223732701756326, \"condition\": \"rain\"}, {\"temperature\": 5.601287545202137, \"wind\": 10.557820768094484, \"precipitation\": 10.005361911795385, \"condition\": \"sun\"}, {\"temperature\": 38.06145401149945, \"wind\": 40.55588658579815, \"precipitation\": 18.57864165136399, \"condition\": \"rain\"}, {\"temperature\": 10.003338415782952, \"wind\": 0.38143550979561347, \"precipitation\": 3.4323593600883995, \"condition\": \"snow\"}, {\"temperature\": 35.51840784136351, \"wind\": 85.38213169679159, \"precipitation\": 72.28024508142481, \"condition\": \"rain\"}, {\"temperature\": 42.22464006089062, \"wind\": 21.90245982426261, \"precipitation\": 64.4540475166047, \"condition\": \"snow\"}, {\"temperature\": 42.62614276410388, \"wind\": 16.596731146807365, \"precipitation\": 85.31723680641925, \"condition\": \"sun\"}, {\"temperature\": 4.666633193701054, \"wind\": 13.9068281587152, \"precipitation\": 87.48180339020342, \"condition\": \"drizzle\"}, {\"temperature\": 16.15426117162615, \"wind\": 38.00342325742586, \"precipitation\": 47.264072847267016, \"condition\": \"rain\"}, {\"temperature\": 15.032591880472172, \"wind\": 86.42884715473586, \"precipitation\": 81.69554228509587, \"condition\": \"rain\"}, {\"temperature\": 35.19149371217065, \"wind\": 72.5074270480888, \"precipitation\": 22.443215096530544, \"condition\": \"sun\"}, {\"temperature\": 26.84120821812121, \"wind\": 83.91441221303555, \"precipitation\": 63.11915666511897, \"condition\": \"drizzle\"}, {\"temperature\": 34.88005063805122, \"wind\": 45.33004448381994, \"precipitation\": 0.9935886811615613, \"condition\": \"rain\"}, {\"temperature\": 41.376840349386185, \"wind\": 7.544840957817378, \"precipitation\": 54.70235300254609, \"condition\": \"snow\"}, {\"temperature\": 36.960725847409456, \"wind\": 49.46574838149229, \"precipitation\": 85.47567556668297, \"condition\": \"snow\"}, {\"temperature\": 14.586289413415074, \"wind\": 4.489700154671472, \"precipitation\": 10.31362572720238, \"condition\": \"sun\"}, {\"temperature\": 20.04343950622185, \"wind\": 66.32817964057357, \"precipitation\": 74.44590348494177, \"condition\": \"sun\"}, {\"temperature\": 25.469560172224703, \"wind\": 82.06241734640489, \"precipitation\": 61.201009993418275, \"condition\": \"rain\"}, {\"temperature\": 20.070995853722245, \"wind\": 46.445227996549974, \"precipitation\": 53.59556892779981, \"condition\": \"snow\"}, {\"temperature\": 5.685018294722338, \"wind\": 58.17077525039538, \"precipitation\": 31.236078403128474, \"condition\": \"snow\"}, {\"temperature\": 42.487483009401764, \"wind\": 71.08000859923487, \"precipitation\": 61.47201457950021, \"condition\": \"rain\"}, {\"temperature\": -7.079256299328551, \"wind\": 27.004309009604967, \"precipitation\": 19.794263832693815, \"condition\": \"rain\"}, {\"temperature\": -5.045047126960084, \"wind\": 88.93771732732128, \"precipitation\": 99.50453536234512, \"condition\": \"fog\"}, {\"temperature\": 25.4533582484732, \"wind\": 96.38774772376792, \"precipitation\": 69.85460214191481, \"condition\": \"rain\"}, {\"temperature\": 22.955919291252926, \"wind\": 88.48558780603962, \"precipitation\": 40.268588772168876, \"condition\": \"snow\"}, {\"temperature\": 27.507453592914565, \"wind\": 29.838439613656075, \"precipitation\": 27.845875256677367, \"condition\": \"fog\"}, {\"temperature\": -6.870451234225997, \"wind\": 54.90225410574824, \"precipitation\": 29.74026895430255, \"condition\": \"snow\"}, {\"temperature\": 41.66879121402853, \"wind\": 21.388390668516323, \"precipitation\": 23.449697200445573, \"condition\": \"sun\"}, {\"temperature\": 15.838369384298645, \"wind\": 14.553164438107524, \"precipitation\": 78.9078385630916, \"condition\": \"sun\"}, {\"temperature\": 13.794652090601591, \"wind\": 31.915985033787553, \"precipitation\": 65.39000850075058, \"condition\": \"fog\"}, {\"temperature\": -0.24791853446323842, \"wind\": 16.053122209894966, \"precipitation\": 26.219628309452382, \"condition\": \"sun\"}, {\"temperature\": 20.625989859426074, \"wind\": 15.348759697534453, \"precipitation\": 94.2004787208339, \"condition\": \"rain\"}, {\"temperature\": 17.22130558630064, \"wind\": 61.15140884010469, \"precipitation\": 27.79385279217691, \"condition\": \"snow\"}, {\"temperature\": 15.342628921870396, \"wind\": 52.15522860596962, \"precipitation\": 44.258578235337545, \"condition\": \"drizzle\"}, {\"temperature\": 43.28838980732394, \"wind\": 30.617573960681387, \"precipitation\": 90.705784312922, \"condition\": \"drizzle\"}, {\"temperature\": 31.752614189233682, \"wind\": 54.002536771242745, \"precipitation\": 98.5871144935895, \"condition\": \"drizzle\"}, {\"temperature\": 3.5475184692079793, \"wind\": 96.91039458765935, \"precipitation\": 50.00054618320339, \"condition\": \"fog\"}]}}, {\"mode\": \"vega-lite\"});\n</script>",
       "text/plain": "alt.Chart(...)"
      },
      "metadata": {},
@@ -180,7 +186,7 @@
    "source": [
     "base = alt.Chart(df)\n",
     "tick = base.mark_tick().encode(\n",
-    " x=alt.X(field='temperature', type='quantitative', scale=alt.Scale(type='linear'))\n",
+    "    x=alt.X(field=\"temperature\", type=\"quantitative\", scale=alt.Scale(type=\"linear\"))\n",
     ")\n",
     "display_chart(tick)"
    ]
@@ -194,7 +200,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 47,
+   "execution_count": 171,
    "metadata": {},
    "outputs": [
     {
@@ -210,26 +216,28 @@
     }
    ],
    "source": [
-    "facts = ['attribute(number_rows,root,100).',\n",
-    " 'entity(field,root,temperature).',\n",
-    " 'attribute((field,name),temperature,temperature).',\n",
-    " 'attribute((field,type),temperature,number).',\n",
-    " 'entity(view,root,0).',\n",
-    " 'entity(mark,0,1).',\n",
-    " 'attribute((mark,type),1,tick).',\n",
-    " 'entity(encoding,1,2).',\n",
-    " 'attribute((encoding,channel),2,x).',\n",
-    " 'attribute((encoding,field),2,temperature).',\n",
-    " 'entity(scale,0,3).',\n",
-    " 'attribute((scale,channel),3,x).',\n",
-    " 'attribute((scale,type),3,log).']\n",
+    "facts = [\n",
+    "    \"attribute(number_rows,root,100).\",\n",
+    "    \"entity(field,root,temperature).\",\n",
+    "    \"attribute((field,name),temperature,temperature).\",\n",
+    "    \"attribute((field,type),temperature,number).\",\n",
+    "    \"entity(view,root,0).\",\n",
+    "    \"entity(mark,0,1).\",\n",
+    "    \"attribute((mark,type),1,tick).\",\n",
+    "    \"entity(encoding,1,2).\",\n",
+    "    \"attribute((encoding,channel),2,x).\",\n",
+    "    \"attribute((encoding,field),2,temperature).\",\n",
+    "    \"entity(scale,0,3).\",\n",
+    "    \"attribute((scale,channel),3,x).\",\n",
+    "    \"attribute((scale,type),3,log).\",\n",
+    "]\n",
     "spec = facts_to_dict(facts)\n",
     "pprint(spec)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 48,
+   "execution_count": 172,
    "metadata": {},
    "outputs": [
     {
@@ -247,7 +255,7 @@
     },
     {
      "data": {
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{\"temperature\": 43.4376707328582, \"wind\": 91.72880025636312, \"precipitation\": 49.92669754392897, \"condition\": \"rain\"}, {\"temperature\": 37.392448305959796, \"wind\": 37.3453361137289, \"precipitation\": 79.01145543700821, \"condition\": \"rain\"}, {\"temperature\": -0.9740355983502056, \"wind\": 52.36556373635527, \"precipitation\": 30.452338583138562, \"condition\": \"fog\"}, {\"temperature\": 32.483093158374864, \"wind\": 88.0719315131664, \"precipitation\": 79.80325870322564, \"condition\": \"drizzle\"}, {\"temperature\": 35.06833977125789, \"wind\": 20.182255224013822, \"precipitation\": 68.32831560054159, \"condition\": \"drizzle\"}, {\"temperature\": 30.648689765220006, \"wind\": 70.20845647358497, \"precipitation\": 14.839756419615913, \"condition\": \"fog\"}, {\"temperature\": 17.568761783892697, \"wind\": 23.56533394038428, \"precipitation\": 33.43028312709272, \"condition\": \"fog\"}, {\"temperature\": 37.668328098899124, \"wind\": 25.752457285889363, \"precipitation\": 22.16206318576326, \"condition\": \"fog\"}, {\"temperature\": 5.014064033030415, \"wind\": 35.85304116185546, \"precipitation\": 50.430635606761776, \"condition\": \"drizzle\"}, {\"temperature\": 0.07199515030012726, \"wind\": 2.3037918503235444, \"precipitation\": 43.68655656674591, \"condition\": \"snow\"}, {\"temperature\": 5.954592424892175, \"wind\": 97.51084981729826, \"precipitation\": 18.937945167300562, \"condition\": \"fog\"}, {\"temperature\": 30.328519543203832, \"wind\": 11.124122490003696, \"precipitation\": 16.09587268986017, \"condition\": \"rain\"}, {\"temperature\": 14.46236976140856, \"wind\": 51.39244007969178, \"precipitation\": 51.52316459464377, \"condition\": \"fog\"}, {\"temperature\": 9.396286885496181, \"wind\": 14.413632366424933, \"precipitation\": 58.34025135533383, \"condition\": \"drizzle\"}, {\"temperature\": -7.883075294840844, \"wind\": 98.24018815877206, \"precipitation\": 51.405831276908884, \"condition\": \"snow\"}, {\"temperature\": 36.853296493232534, \"wind\": 17.44230067062308, \"precipitation\": 55.91312117168676, \"condition\": \"drizzle\"}, {\"temperature\": -9.582596783874624, \"wind\": 23.835535427130438, \"precipitation\": 61.605688998244446, \"condition\": \"fog\"}, {\"temperature\": -9.419128745924892, \"wind\": 53.25395558360789, \"precipitation\": 78.4515605013817, \"condition\": \"sun\"}, {\"temperature\": 4.571583314676532, \"wind\": 9.068613866100073, \"precipitation\": 42.448264608376526, \"condition\": \"rain\"}, {\"temperature\": 6.6203336157740615, \"wind\": 35.87691221835703, \"precipitation\": 64.98980696659649, \"condition\": \"rain\"}, {\"temperature\": 20.627672555392106, \"wind\": 28.946823430475742, \"precipitation\": 14.301584887467733, \"condition\": \"rain\"}, {\"temperature\": -9.583736731217567, \"wind\": 83.64814422156614, \"precipitation\": 35.873227198260004, \"condition\": \"snow\"}, {\"temperature\": 11.018260277272166, \"wind\": 82.98059861355699, \"precipitation\": 67.52390799343073, \"condition\": \"drizzle\"}, {\"temperature\": 5.411451095385809, \"wind\": 21.05653192591779, \"precipitation\": 98.10920750481597, \"condition\": \"fog\"}, {\"temperature\": 2.807402352777551, \"wind\": 40.81431754466085, \"precipitation\": 17.10555449196962, \"condition\": \"drizzle\"}, {\"temperature\": 33.60928142306782, \"wind\": 68.86862385408263, \"precipitation\": 1.7511520670655312, \"condition\": \"drizzle\"}, {\"temperature\": -3.7305842295491463, \"wind\": 22.99270590580842, \"precipitation\": 20.45024425044729, \"condition\": \"sun\"}, {\"temperature\": 38.88636288200788, \"wind\": 4.451268770649408, \"precipitation\": 50.18581381273084, \"condition\": \"snow\"}, {\"temperature\": 30.677916880360065, \"wind\": 57.58927095398997, \"precipitation\": 3.882294040985468, \"condition\": \"sun\"}, {\"temperature\": 20.936747003011536, \"wind\": 86.15890903839221, \"precipitation\": 84.64626055952643, \"condition\": \"sun\"}, {\"temperature\": 37.960508459665974, \"wind\": 83.22348385800635, \"precipitation\": 78.09579123477448, \"condition\": \"sun\"}, {\"temperature\": 2.789340992140385, \"wind\": 5.604841844996544, \"precipitation\": 64.23176719571818, \"condition\": \"rain\"}, {\"temperature\": -7.362921707472104, \"wind\": 57.37740217449133, \"precipitation\": 18.499742279296438, \"condition\": \"sun\"}, {\"temperature\": 1.1912189059593281, \"wind\": 46.52929788933954, \"precipitation\": 56.223732701756326, \"condition\": \"rain\"}, {\"temperature\": 5.601287545202137, \"wind\": 10.557820768094484, \"precipitation\": 10.005361911795385, \"condition\": \"sun\"}, {\"temperature\": 38.06145401149945, \"wind\": 40.55588658579815, \"precipitation\": 18.57864165136399, \"condition\": \"rain\"}, {\"temperature\": 10.003338415782952, \"wind\": 0.38143550979561347, \"precipitation\": 3.4323593600883995, \"condition\": \"snow\"}, {\"temperature\": 35.51840784136351, \"wind\": 85.38213169679159, \"precipitation\": 72.28024508142481, \"condition\": \"rain\"}, {\"temperature\": 42.22464006089062, \"wind\": 21.90245982426261, \"precipitation\": 64.4540475166047, \"condition\": \"snow\"}, {\"temperature\": 42.62614276410388, \"wind\": 16.596731146807365, \"precipitation\": 85.31723680641925, \"condition\": \"sun\"}, {\"temperature\": 4.666633193701054, \"wind\": 13.9068281587152, \"precipitation\": 87.48180339020342, \"condition\": \"drizzle\"}, {\"temperature\": 16.15426117162615, \"wind\": 38.00342325742586, \"precipitation\": 47.264072847267016, \"condition\": \"rain\"}, {\"temperature\": 15.032591880472172, \"wind\": 86.42884715473586, \"precipitation\": 81.69554228509587, \"condition\": \"rain\"}, {\"temperature\": 35.19149371217065, \"wind\": 72.5074270480888, \"precipitation\": 22.443215096530544, \"condition\": \"sun\"}, {\"temperature\": 26.84120821812121, \"wind\": 83.91441221303555, \"precipitation\": 63.11915666511897, \"condition\": \"drizzle\"}, {\"temperature\": 34.88005063805122, \"wind\": 45.33004448381994, \"precipitation\": 0.9935886811615613, \"condition\": \"rain\"}, {\"temperature\": 41.376840349386185, \"wind\": 7.544840957817378, \"precipitation\": 54.70235300254609, \"condition\": \"snow\"}, {\"temperature\": 36.960725847409456, \"wind\": 49.46574838149229, \"precipitation\": 85.47567556668297, \"condition\": \"snow\"}, {\"temperature\": 14.586289413415074, \"wind\": 4.489700154671472, \"precipitation\": 10.31362572720238, \"condition\": \"sun\"}, {\"temperature\": 20.04343950622185, \"wind\": 66.32817964057357, \"precipitation\": 74.44590348494177, \"condition\": \"sun\"}, {\"temperature\": 25.469560172224703, \"wind\": 82.06241734640489, \"precipitation\": 61.201009993418275, \"condition\": \"rain\"}, {\"temperature\": 20.070995853722245, \"wind\": 46.445227996549974, \"precipitation\": 53.59556892779981, \"condition\": \"snow\"}, {\"temperature\": 5.685018294722338, \"wind\": 58.17077525039538, \"precipitation\": 31.236078403128474, \"condition\": \"snow\"}, {\"temperature\": 42.487483009401764, \"wind\": 71.08000859923487, \"precipitation\": 61.47201457950021, \"condition\": \"rain\"}, {\"temperature\": -7.079256299328551, \"wind\": 27.004309009604967, \"precipitation\": 19.794263832693815, \"condition\": \"rain\"}, {\"temperature\": -5.045047126960084, \"wind\": 88.93771732732128, \"precipitation\": 99.50453536234512, \"condition\": \"fog\"}, {\"temperature\": 25.4533582484732, \"wind\": 96.38774772376792, \"precipitation\": 69.85460214191481, \"condition\": \"rain\"}, {\"temperature\": 22.955919291252926, \"wind\": 88.48558780603962, \"precipitation\": 40.268588772168876, \"condition\": \"snow\"}, {\"temperature\": 27.507453592914565, \"wind\": 29.838439613656075, \"precipitation\": 27.845875256677367, \"condition\": \"fog\"}, {\"temperature\": -6.870451234225997, \"wind\": 54.90225410574824, \"precipitation\": 29.74026895430255, \"condition\": \"snow\"}, {\"temperature\": 41.66879121402853, \"wind\": 21.388390668516323, \"precipitation\": 23.449697200445573, \"condition\": \"sun\"}, {\"temperature\": 15.838369384298645, \"wind\": 14.553164438107524, \"precipitation\": 78.9078385630916, \"condition\": \"sun\"}, {\"temperature\": 13.794652090601591, \"wind\": 31.915985033787553, \"precipitation\": 65.39000850075058, \"condition\": \"fog\"}, {\"temperature\": -0.24791853446323842, \"wind\": 16.053122209894966, \"precipitation\": 26.219628309452382, \"condition\": \"sun\"}, {\"temperature\": 20.625989859426074, \"wind\": 15.348759697534453, \"precipitation\": 94.2004787208339, \"condition\": \"rain\"}, {\"temperature\": 17.22130558630064, \"wind\": 61.15140884010469, \"precipitation\": 27.79385279217691, \"condition\": \"snow\"}, {\"temperature\": 15.342628921870396, \"wind\": 52.15522860596962, \"precipitation\": 44.258578235337545, \"condition\": \"drizzle\"}, {\"temperature\": 43.28838980732394, \"wind\": 30.617573960681387, \"precipitation\": 90.705784312922, \"condition\": \"drizzle\"}, {\"temperature\": 31.752614189233682, \"wind\": 54.002536771242745, \"precipitation\": 98.5871144935895, \"condition\": \"drizzle\"}, {\"temperature\": 3.5475184692079793, \"wind\": 96.91039458765935, \"precipitation\": 50.00054618320339, \"condition\": \"fog\"}]}}, {\"mode\": \"vega-lite\"});\n</script>",
       "text/plain": "alt.Chart(...)"
      },
      "metadata": {},
@@ -255,11 +263,9 @@
     }
    ],
    "source": [
-    "base = alt.Chart(df).transform_filter(\n",
-    " datum.temperature > 0\n",
-    ")\n",
+    "base = alt.Chart(df).transform_filter(datum.temperature > 0)\n",
     "tick = base.mark_tick().encode(\n",
-    " x=alt.X(field='temperature', type='quantitative', scale=alt.Scale(type='log'))\n",
+    "    x=alt.X(field=\"temperature\", type=\"quantitative\", scale=alt.Scale(type=\"log\"))\n",
     ")\n",
     "display_chart(tick)"
    ]
@@ -273,7 +279,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 49,
+   "execution_count": 173,
    "metadata": {},
    "outputs": [
     {
@@ -295,38 +301,40 @@
     }
    ],
    "source": [
-    "facts = ['attribute(number_rows,root,100).',\n",
-    " 'entity(field,root,temperature).',\n",
-    " 'attribute((field,name),temperature,temperature).',\n",
-    " 'attribute((field,type),temperature,number).',\n",
-    " 'entity(field,root,condition).',\n",
-    " 'attribute((field,name),condition,condition).',\n",
-    " 'attribute((field,type),condition,string).',\n",
-    " 'entity(view,root,0).',\n",
-    " 'attribute((view,coordinates),0,cartesian).',\n",
-    " 'entity(mark,0,1).',\n",
-    " 'attribute((mark,type),1,bar).',\n",
-    " 'entity(encoding,1,2).',\n",
-    " 'attribute((encoding,channel),2,x).',\n",
-    " 'attribute((encoding,field),2,condition).',\n",
-    " 'entity(encoding,1,3).',\n",
-    " 'attribute((encoding,channel),3,y).',\n",
-    " 'attribute((encoding,field),3,temperature).',\n",
-    " 'attribute((encoding,aggregate),3,mean).',\n",
-    " 'entity(scale,0,4).',\n",
-    " 'attribute((scale,channel),4,x).',\n",
-    " 'attribute((scale,type),4,ordinal).',\n",
-    " 'entity(scale,0,5).',\n",
-    " 'attribute((scale,channel),5,y).',\n",
-    " 'attribute((scale,type),5,linear).',\n",
-    " 'attribute((scale,zero),5,true).']\n",
+    "facts = [\n",
+    "    \"attribute(number_rows,root,100).\",\n",
+    "    \"entity(field,root,temperature).\",\n",
+    "    \"attribute((field,name),temperature,temperature).\",\n",
+    "    \"attribute((field,type),temperature,number).\",\n",
+    "    \"entity(field,root,condition).\",\n",
+    "    \"attribute((field,name),condition,condition).\",\n",
+    "    \"attribute((field,type),condition,string).\",\n",
+    "    \"entity(view,root,0).\",\n",
+    "    \"attribute((view,coordinates),0,cartesian).\",\n",
+    "    \"entity(mark,0,1).\",\n",
+    "    \"attribute((mark,type),1,bar).\",\n",
+    "    \"entity(encoding,1,2).\",\n",
+    "    \"attribute((encoding,channel),2,x).\",\n",
+    "    \"attribute((encoding,field),2,condition).\",\n",
+    "    \"entity(encoding,1,3).\",\n",
+    "    \"attribute((encoding,channel),3,y).\",\n",
+    "    \"attribute((encoding,field),3,temperature).\",\n",
+    "    \"attribute((encoding,aggregate),3,mean).\",\n",
+    "    \"entity(scale,0,4).\",\n",
+    "    \"attribute((scale,channel),4,x).\",\n",
+    "    \"attribute((scale,type),4,ordinal).\",\n",
+    "    \"entity(scale,0,5).\",\n",
+    "    \"attribute((scale,channel),5,y).\",\n",
+    "    \"attribute((scale,type),5,linear).\",\n",
+    "    \"attribute((scale,zero),5,true).\",\n",
+    "]\n",
     "spec = facts_to_dict(facts)\n",
     "pprint(spec)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 50,
+   "execution_count": 174,
    "metadata": {},
    "outputs": [
     {
@@ -347,7 +355,7 @@
     },
     {
      "data": {
-      "text/html": "\n<div id=\"altair-viz-b3b4a37b2162408e8d2b4b2d8da9f6b6\"></div>\n<script type=\"text/javascript\">\n  var VEGA_DEBUG = (typeof VEGA_DEBUG == \"undefined\") ? {} : VEGA_DEBUG;\n  (function(spec, embedOpt){\n    let outputDiv = document.currentScript.previousElementSibling;\n    if (outputDiv.id !== \"altair-viz-b3b4a37b2162408e8d2b4b2d8da9f6b6\") {\n      outputDiv = document.getElementById(\"altair-viz-b3b4a37b2162408e8d2b4b2d8da9f6b6\");\n    }\n    const paths = {\n      \"vega\": \"https://cdn.jsdelivr.net/npm//vega@5?noext\",\n      \"vega-lib\": \"https://cdn.jsdelivr.net/npm//vega-lib?noext\",\n      \"vega-lite\": \"https://cdn.jsdelivr.net/npm//vega-lite@4.17.0?noext\",\n      \"vega-embed\": \"https://cdn.jsdelivr.net/npm//vega-embed@6?noext\",\n    };\n\n    function maybeLoadScript(lib, version) {\n      var key = `${lib.replace(\"-\", \"\")}_version`;\n      return (VEGA_DEBUG[key] == version) ?\n        Promise.resolve(paths[lib]) :\n        new Promise(function(resolve, reject) {\n          var s = document.createElement('script');\n          document.getElementsByTagName(\"head\")[0].appendChild(s);\n          s.async = true;\n          s.onload = () => {\n            VEGA_DEBUG[key] = version;\n            return resolve(paths[lib]);\n          };\n          s.onerror = () => reject(`Error loading script: ${paths[lib]}`);\n          s.src = paths[lib];\n        });\n    }\n\n    function showError(err) {\n      outputDiv.innerHTML = `<div class=\"error\" style=\"color:red;\">${err}</div>`;\n      throw err;\n    }\n\n    function displayChart(vegaEmbed) {\n      vegaEmbed(outputDiv, spec, embedOpt)\n        .catch(err => showError(`Javascript Error: ${err.message}<br>This usually means there's a typo in your chart specification. See the javascript console for the full traceback.`));\n    }\n\n    if(typeof define === \"function\" && define.amd) {\n      requirejs.config({paths});\n      require([\"vega-embed\"], displayChart, err => showError(`Error loading script: ${err.message}`));\n    } else {\n      maybeLoadScript(\"vega\", \"5\")\n        .then(() => maybeLoadScript(\"vega-lite\", \"4.17.0\"))\n        .then(() => maybeLoadScript(\"vega-embed\", \"6\"))\n        .catch(showError)\n        .then(() => displayChart(vegaEmbed));\n    }\n  })({\"config\": {\"view\": {\"continuousWidth\": 400, \"continuousHeight\": 300}}, \"data\": {\"name\": \"data-80b0e930866eee6a77413fd6e0890a78\"}, \"mark\": \"bar\", \"encoding\": {\"x\": {\"field\": \"condition\", \"scale\": {\"type\": \"ordinal\"}, \"type\": \"nominal\"}, \"y\": {\"aggregate\": \"mean\", \"field\": \"temperature\", \"scale\": {\"type\": \"linear\", \"zero\": true}, \"type\": \"quantitative\"}}, \"$schema\": \"https://vega.github.io/schema/vega-lite/v4.17.0.json\", \"datasets\": {\"data-80b0e930866eee6a77413fd6e0890a78\": [{\"temperature\": 39.357871877508494, \"wind\": 11.562263885182233, \"precipitation\": 88.42051387921796, \"condition\": \"fog\"}, {\"temperature\": -5.947154608637572, \"wind\": 86.90701738497849, \"precipitation\": 70.55832915444152, \"condition\": \"rain\"}, {\"temperature\": 32.82765627853655, \"wind\": 97.65897402212389, \"precipitation\": 82.65511533530304, \"condition\": \"sun\"}, {\"temperature\": 17.525999106231197, \"wind\": 65.52797477069528, \"precipitation\": 53.86256526101837, \"condition\": \"snow\"}, {\"temperature\": -6.80882656934652, \"wind\": 37.03429394195952, \"precipitation\": 93.86525481254682, \"condition\": \"drizzle\"}, {\"temperature\": 42.35997285539091, \"wind\": 72.00671240950793, \"precipitation\": 40.6587905336316, \"condition\": \"sun\"}, {\"temperature\": 12.236046428620227, \"wind\": 24.35537864304579, \"precipitation\": 83.89080965364893, \"condition\": \"sun\"}, {\"temperature\": 42.8103257781665, \"wind\": 29.81101459268268, \"precipitation\": 71.55020159752638, \"condition\": \"sun\"}, {\"temperature\": 22.54392113778252, \"wind\": 96.88264927669367, \"precipitation\": 57.21207145158276, \"condition\": \"rain\"}, {\"temperature\": 22.503608231529917, \"wind\": 73.45718441223443, \"precipitation\": 18.48099480479052, \"condition\": \"fog\"}, {\"temperature\": 20.697023061259923, \"wind\": 78.8085781529467, \"precipitation\": 82.06153728611223, \"condition\": \"drizzle\"}, {\"temperature\": 25.290109397291054, \"wind\": 80.30649374788099, \"precipitation\": 22.36608661432985, \"condition\": \"sun\"}, {\"temperature\": 38.2799313550365, \"wind\": 67.47085587574028, \"precipitation\": 20.740111999310816, \"condition\": \"snow\"}, {\"temperature\": 3.6725463468113624, \"wind\": 1.0115541087158841, \"precipitation\": 18.15771285571497, \"condition\": \"fog\"}, {\"temperature\": 43.05607594953013, 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20.936747003011536, \"wind\": 86.15890903839221, \"precipitation\": 84.64626055952643, \"condition\": \"sun\"}, {\"temperature\": 37.960508459665974, \"wind\": 83.22348385800635, \"precipitation\": 78.09579123477448, \"condition\": \"sun\"}, {\"temperature\": 2.789340992140385, \"wind\": 5.604841844996544, \"precipitation\": 64.23176719571818, \"condition\": \"rain\"}, {\"temperature\": -7.362921707472104, \"wind\": 57.37740217449133, \"precipitation\": 18.499742279296438, \"condition\": \"sun\"}, {\"temperature\": 1.1912189059593281, \"wind\": 46.52929788933954, \"precipitation\": 56.223732701756326, \"condition\": \"rain\"}, {\"temperature\": 5.601287545202137, \"wind\": 10.557820768094484, \"precipitation\": 10.005361911795385, \"condition\": \"sun\"}, {\"temperature\": 38.06145401149945, \"wind\": 40.55588658579815, \"precipitation\": 18.57864165136399, \"condition\": \"rain\"}, {\"temperature\": 10.003338415782952, \"wind\": 0.38143550979561347, \"precipitation\": 3.4323593600883995, \"condition\": \"snow\"}, {\"temperature\": 35.51840784136351, \"wind\": 85.38213169679159, \"precipitation\": 72.28024508142481, \"condition\": \"rain\"}, {\"temperature\": 42.22464006089062, \"wind\": 21.90245982426261, \"precipitation\": 64.4540475166047, \"condition\": \"snow\"}, {\"temperature\": 42.62614276410388, \"wind\": 16.596731146807365, \"precipitation\": 85.31723680641925, \"condition\": \"sun\"}, {\"temperature\": 4.666633193701054, \"wind\": 13.9068281587152, \"precipitation\": 87.48180339020342, \"condition\": \"drizzle\"}, {\"temperature\": 16.15426117162615, \"wind\": 38.00342325742586, \"precipitation\": 47.264072847267016, \"condition\": \"rain\"}, {\"temperature\": 15.032591880472172, \"wind\": 86.42884715473586, \"precipitation\": 81.69554228509587, \"condition\": \"rain\"}, {\"temperature\": 35.19149371217065, \"wind\": 72.5074270480888, \"precipitation\": 22.443215096530544, \"condition\": \"sun\"}, {\"temperature\": 26.84120821812121, \"wind\": 83.91441221303555, \"precipitation\": 63.11915666511897, \"condition\": \"drizzle\"}, {\"temperature\": 34.88005063805122, \"wind\": 45.33004448381994, \"precipitation\": 0.9935886811615613, \"condition\": \"rain\"}, {\"temperature\": 41.376840349386185, \"wind\": 7.544840957817378, \"precipitation\": 54.70235300254609, \"condition\": \"snow\"}, {\"temperature\": 36.960725847409456, \"wind\": 49.46574838149229, \"precipitation\": 85.47567556668297, \"condition\": \"snow\"}, {\"temperature\": 14.586289413415074, \"wind\": 4.489700154671472, \"precipitation\": 10.31362572720238, \"condition\": \"sun\"}, {\"temperature\": 20.04343950622185, \"wind\": 66.32817964057357, \"precipitation\": 74.44590348494177, \"condition\": \"sun\"}, {\"temperature\": 25.469560172224703, \"wind\": 82.06241734640489, \"precipitation\": 61.201009993418275, \"condition\": \"rain\"}, {\"temperature\": 20.070995853722245, \"wind\": 46.445227996549974, \"precipitation\": 53.59556892779981, \"condition\": \"snow\"}, {\"temperature\": 5.685018294722338, \"wind\": 58.17077525039538, \"precipitation\": 31.236078403128474, \"condition\": \"snow\"}, {\"temperature\": 42.487483009401764, \"wind\": 71.08000859923487, \"precipitation\": 61.47201457950021, \"condition\": \"rain\"}, {\"temperature\": -7.079256299328551, \"wind\": 27.004309009604967, \"precipitation\": 19.794263832693815, \"condition\": \"rain\"}, {\"temperature\": -5.045047126960084, \"wind\": 88.93771732732128, \"precipitation\": 99.50453536234512, \"condition\": \"fog\"}, {\"temperature\": 25.4533582484732, \"wind\": 96.38774772376792, \"precipitation\": 69.85460214191481, \"condition\": \"rain\"}, {\"temperature\": 22.955919291252926, \"wind\": 88.48558780603962, \"precipitation\": 40.268588772168876, \"condition\": \"snow\"}, {\"temperature\": 27.507453592914565, \"wind\": 29.838439613656075, \"precipitation\": 27.845875256677367, \"condition\": \"fog\"}, {\"temperature\": -6.870451234225997, \"wind\": 54.90225410574824, \"precipitation\": 29.74026895430255, \"condition\": \"snow\"}, {\"temperature\": 41.66879121402853, \"wind\": 21.388390668516323, \"precipitation\": 23.449697200445573, \"condition\": \"sun\"}, {\"temperature\": 15.838369384298645, \"wind\": 14.553164438107524, \"precipitation\": 78.9078385630916, \"condition\": \"sun\"}, {\"temperature\": 13.794652090601591, \"wind\": 31.915985033787553, \"precipitation\": 65.39000850075058, \"condition\": \"fog\"}, {\"temperature\": -0.24791853446323842, \"wind\": 16.053122209894966, \"precipitation\": 26.219628309452382, \"condition\": \"sun\"}, {\"temperature\": 20.625989859426074, \"wind\": 15.348759697534453, \"precipitation\": 94.2004787208339, \"condition\": \"rain\"}, {\"temperature\": 17.22130558630064, \"wind\": 61.15140884010469, \"precipitation\": 27.79385279217691, \"condition\": \"snow\"}, {\"temperature\": 15.342628921870396, \"wind\": 52.15522860596962, \"precipitation\": 44.258578235337545, \"condition\": \"drizzle\"}, {\"temperature\": 43.28838980732394, \"wind\": 30.617573960681387, \"precipitation\": 90.705784312922, \"condition\": \"drizzle\"}, {\"temperature\": 31.752614189233682, \"wind\": 54.002536771242745, \"precipitation\": 98.5871144935895, \"condition\": \"drizzle\"}, {\"temperature\": 3.5475184692079793, \"wind\": 96.91039458765935, \"precipitation\": 50.00054618320339, \"condition\": \"fog\"}]}}, {\"mode\": \"vega-lite\"});\n</script>",
       "text/plain": "alt.Chart(...)"
      },
      "metadata": {},
@@ -357,13 +365,13 @@
    "source": [
     "base = alt.Chart(df)\n",
     "bar = base.mark_bar().encode(\n",
-    "    x=alt.X(field='condition', \n",
-    "            type='nominal', \n",
-    "            scale=alt.Scale(type='ordinal')),\n",
-    "    y=alt.Y(field='temperature', \n",
-    "            type='quantitative', \n",
-    "            aggregate='mean', \n",
-    "            scale=alt.Scale(type='linear', zero=True))\n",
+    "    x=alt.X(field=\"condition\", type=\"nominal\", scale=alt.Scale(type=\"ordinal\")),\n",
+    "    y=alt.Y(\n",
+    "        field=\"temperature\",\n",
+    "        type=\"quantitative\",\n",
+    "        aggregate=\"mean\",\n",
+    "        scale=alt.Scale(type=\"linear\", zero=True),\n",
+    "    ),\n",
     ")\n",
     "display_chart(bar)"
    ]
@@ -377,7 +385,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 51,
+   "execution_count": 175,
    "metadata": {},
    "outputs": [
     {
@@ -399,38 +407,40 @@
     }
    ],
    "source": [
-    "facts = ['attribute(number_rows,root,100).',\n",
-    " 'entity(field,root,temperature).',\n",
-    " 'attribute((field,name),temperature,temperature).',\n",
-    " 'attribute((field,type),temperature,number).',\n",
-    " 'entity(field,root,condition).',\n",
-    " 'attribute((field,name),condition,condition).',\n",
-    " 'attribute((field,type),condition,string).',\n",
-    " 'entity(view,root,0).',\n",
-    " 'attribute((view,coordinates),0,polar).',\n",
-    " 'entity(mark,0,1).',\n",
-    " 'attribute((mark,type),1,bar).',\n",
-    " 'entity(encoding,1,2).',\n",
-    " 'attribute((encoding,channel),2,x).',\n",
-    " 'attribute((encoding,field),2,condition).',\n",
-    " 'entity(encoding,1,3).',\n",
-    " 'attribute((encoding,channel),3,y).',\n",
-    " 'attribute((encoding,field),3,temperature).',\n",
-    " 'attribute((encoding,aggregate),3,mean).',\n",
-    " 'entity(scale,0,4).',\n",
-    " 'attribute((scale,channel),4,x).',\n",
-    " 'attribute((scale,type),4,ordinal).',\n",
-    " 'entity(scale,0,5).',\n",
-    " 'attribute((scale,channel),5,y).',\n",
-    " 'attribute((scale,type),5,linear).',\n",
-    " 'attribute((scale,zero),5,true).']\n",
+    "facts = [\n",
+    "    \"attribute(number_rows,root,100).\",\n",
+    "    \"entity(field,root,temperature).\",\n",
+    "    \"attribute((field,name),temperature,temperature).\",\n",
+    "    \"attribute((field,type),temperature,number).\",\n",
+    "    \"entity(field,root,condition).\",\n",
+    "    \"attribute((field,name),condition,condition).\",\n",
+    "    \"attribute((field,type),condition,string).\",\n",
+    "    \"entity(view,root,0).\",\n",
+    "    \"attribute((view,coordinates),0,polar).\",\n",
+    "    \"entity(mark,0,1).\",\n",
+    "    \"attribute((mark,type),1,bar).\",\n",
+    "    \"entity(encoding,1,2).\",\n",
+    "    \"attribute((encoding,channel),2,x).\",\n",
+    "    \"attribute((encoding,field),2,condition).\",\n",
+    "    \"entity(encoding,1,3).\",\n",
+    "    \"attribute((encoding,channel),3,y).\",\n",
+    "    \"attribute((encoding,field),3,temperature).\",\n",
+    "    \"attribute((encoding,aggregate),3,mean).\",\n",
+    "    \"entity(scale,0,4).\",\n",
+    "    \"attribute((scale,channel),4,x).\",\n",
+    "    \"attribute((scale,type),4,ordinal).\",\n",
+    "    \"entity(scale,0,5).\",\n",
+    "    \"attribute((scale,channel),5,y).\",\n",
+    "    \"attribute((scale,type),5,linear).\",\n",
+    "    \"attribute((scale,zero),5,true).\",\n",
+    "]\n",
     "spec = facts_to_dict(facts)\n",
     "pprint(spec)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 52,
+   "execution_count": 176,
    "metadata": {},
    "outputs": [
     {
@@ -454,7 +464,7 @@
     },
     {
      "data": {
-      "text/html": "\n<div id=\"altair-viz-a1698486899742c7b505e8000a5291a9\"></div>\n<script type=\"text/javascript\">\n  var VEGA_DEBUG = (typeof VEGA_DEBUG == \"undefined\") ? {} : VEGA_DEBUG;\n  (function(spec, embedOpt){\n    let outputDiv = document.currentScript.previousElementSibling;\n    if (outputDiv.id !== \"altair-viz-a1698486899742c7b505e8000a5291a9\") {\n      outputDiv = document.getElementById(\"altair-viz-a1698486899742c7b505e8000a5291a9\");\n    }\n    const paths = {\n      \"vega\": \"https://cdn.jsdelivr.net/npm//vega@5?noext\",\n      \"vega-lib\": \"https://cdn.jsdelivr.net/npm//vega-lib?noext\",\n      \"vega-lite\": \"https://cdn.jsdelivr.net/npm//vega-lite@4.17.0?noext\",\n      \"vega-embed\": \"https://cdn.jsdelivr.net/npm//vega-embed@6?noext\",\n    };\n\n    function maybeLoadScript(lib, version) {\n      var key = `${lib.replace(\"-\", \"\")}_version`;\n      return (VEGA_DEBUG[key] == version) ?\n        Promise.resolve(paths[lib]) :\n        new Promise(function(resolve, reject) {\n          var s = document.createElement('script');\n          document.getElementsByTagName(\"head\")[0].appendChild(s);\n          s.async = true;\n          s.onload = () => {\n            VEGA_DEBUG[key] = version;\n            return resolve(paths[lib]);\n          };\n          s.onerror = () => reject(`Error loading script: ${paths[lib]}`);\n          s.src = paths[lib];\n        });\n    }\n\n    function showError(err) {\n      outputDiv.innerHTML = `<div class=\"error\" style=\"color:red;\">${err}</div>`;\n      throw err;\n    }\n\n    function displayChart(vegaEmbed) {\n      vegaEmbed(outputDiv, spec, embedOpt)\n        .catch(err => showError(`Javascript Error: ${err.message}<br>This usually means there's a typo in your chart specification. See the javascript console for the full traceback.`));\n    }\n\n    if(typeof define === \"function\" && define.amd) {\n      requirejs.config({paths});\n      require([\"vega-embed\"], displayChart, err => showError(`Error loading script: ${err.message}`));\n    } else {\n      maybeLoadScript(\"vega\", \"5\")\n        .then(() => maybeLoadScript(\"vega-lite\", \"4.17.0\"))\n        .then(() => maybeLoadScript(\"vega-embed\", \"6\"))\n        .catch(showError)\n        .then(() => displayChart(vegaEmbed));\n    }\n  })({\"config\": {\"view\": {\"continuousWidth\": 400, \"continuousHeight\": 300}}, \"layer\": [{\"mark\": {\"type\": \"arc\", \"stroke\": \"#ffffff\"}, \"encoding\": {\"radius\": {\"aggregate\": \"mean\", \"field\": \"temperature\", \"type\": \"quantitative\"}, \"theta\": {\"field\": \"condition\", \"type\": \"nominal\"}}}, {\"mark\": {\"type\": \"text\", \"radiusOffset\": 15}, \"encoding\": {\"radius\": {\"aggregate\": \"mean\", \"field\": \"temperature\", \"type\": \"quantitative\"}, \"text\": {\"field\": \"condition\", \"type\": \"nominal\"}, \"theta\": {\"field\": \"condition\", \"type\": \"nominal\"}}}], \"data\": {\"name\": \"data-80b0e930866eee6a77413fd6e0890a78\"}, \"$schema\": \"https://vega.github.io/schema/vega-lite/v4.17.0.json\", \"datasets\": {\"data-80b0e930866eee6a77413fd6e0890a78\": [{\"temperature\": 39.357871877508494, \"wind\": 11.562263885182233, \"precipitation\": 88.42051387921796, \"condition\": \"fog\"}, {\"temperature\": -5.947154608637572, \"wind\": 86.90701738497849, \"precipitation\": 70.55832915444152, \"condition\": \"rain\"}, {\"temperature\": 32.82765627853655, \"wind\": 97.65897402212389, \"precipitation\": 82.65511533530304, \"condition\": \"sun\"}, {\"temperature\": 17.525999106231197, \"wind\": 65.52797477069528, \"precipitation\": 53.86256526101837, \"condition\": \"snow\"}, {\"temperature\": -6.80882656934652, \"wind\": 37.03429394195952, \"precipitation\": 93.86525481254682, \"condition\": \"drizzle\"}, {\"temperature\": 42.35997285539091, \"wind\": 72.00671240950793, \"precipitation\": 40.6587905336316, \"condition\": \"sun\"}, {\"temperature\": 12.236046428620227, \"wind\": 24.35537864304579, \"precipitation\": 83.89080965364893, \"condition\": \"sun\"}, {\"temperature\": 42.8103257781665, \"wind\": 29.81101459268268, \"precipitation\": 71.55020159752638, \"condition\": \"sun\"}, {\"temperature\": 22.54392113778252, \"wind\": 96.88264927669367, \"precipitation\": 57.21207145158276, \"condition\": \"rain\"}, {\"temperature\": 22.503608231529917, \"wind\": 73.45718441223443, \"precipitation\": 18.48099480479052, \"condition\": \"fog\"}, {\"temperature\": 20.697023061259923, \"wind\": 78.8085781529467, \"precipitation\": 82.06153728611223, \"condition\": \"drizzle\"}, {\"temperature\": 25.290109397291054, \"wind\": 80.30649374788099, \"precipitation\": 22.36608661432985, \"condition\": \"sun\"}, {\"temperature\": 38.2799313550365, \"wind\": 67.47085587574028, \"precipitation\": 20.740111999310816, \"condition\": \"snow\"}, {\"temperature\": 3.6725463468113624, \"wind\": 1.0115541087158841, \"precipitation\": 18.15771285571497, \"condition\": \"fog\"}, {\"temperature\": 43.05607594953013, \"wind\": 60.68482719845524, \"precipitation\": 57.77089873340201, \"condition\": \"drizzle\"}, {\"temperature\": 32.26702695541979, \"wind\": 51.25287908408247, \"precipitation\": 82.37499650298116, \"condition\": \"sun\"}, {\"temperature\": 20.65470025342109, \"wind\": 17.357994382399223, \"precipitation\": 61.85803419037972, \"condition\": \"snow\"}, {\"temperature\": 7.591958649416281, \"wind\": 56.87567133218157, \"precipitation\": 63.83705679953054, \"condition\": \"drizzle\"}, {\"temperature\": 34.12588295742098, \"wind\": 53.49706318356736, \"precipitation\": 39.89871505509641, \"condition\": \"drizzle\"}, {\"temperature\": 43.35047614485006, \"wind\": 25.611854852857896, \"precipitation\": 80.36992353488051, \"condition\": \"sun\"}, {\"temperature\": -0.6670916465821719, \"wind\": 85.48944217634627, \"precipitation\": 74.19603252504737, \"condition\": \"fog\"}, {\"temperature\": 27.71533514546813, \"wind\": 92.40258299219964, \"precipitation\": 35.46329445299181, \"condition\": \"sun\"}, {\"temperature\": 42.990310063528334, \"wind\": 4.767210553938305, \"precipitation\": 78.84896594785124, \"condition\": \"drizzle\"}, {\"temperature\": 12.78024257419457, \"wind\": 70.42789298007587, \"precipitation\": 32.19857853159736, \"condition\": \"rain\"}, {\"temperature\": 12.345464511586698, \"wind\": 96.37504245663669, \"precipitation\": 58.32326475918834, \"condition\": \"drizzle\"}, {\"temperature\": 16.615985139736694, \"wind\": 79.42654814203834, \"precipitation\": 13.002687080260278, \"condition\": \"drizzle\"}, {\"temperature\": 37.42489242698708, \"wind\": 61.345695045120095, \"precipitation\": 43.77564041090408, \"condition\": \"rain\"}, {\"temperature\": 4.4803758908315565, \"wind\": 49.77522034422004, \"precipitation\": 50.69600709811043, \"condition\": \"drizzle\"}, {\"temperature\": 24.097652039323982, \"wind\": 8.979384326640405, \"precipitation\": 30.641954593528485, \"condition\": \"sun\"}, {\"temperature\": -5.322217743871135, \"wind\": 61.189346843944705, \"precipitation\": 31.593229557269186, \"condition\": \"snow\"}, {\"temperature\": 9.656575236136984, \"wind\": 2.1373906951494104, \"precipitation\": 57.5465193225844, \"condition\": \"rain\"}, {\"temperature\": 23.09003214094531, \"wind\": 16.8504340533028, \"precipitation\": 49.38199137777561, \"condition\": \"snow\"}, {\"temperature\": -0.8910674950475652, \"wind\": 67.4372389241753, \"precipitation\": 44.01373586297284, \"condition\": \"drizzle\"}, {\"temperature\": 38.77628981797657, \"wind\": 19.349109733319814, \"precipitation\": 18.478064234157422, \"condition\": \"snow\"}, {\"temperature\": 3.4205075380082093, \"wind\": 27.407919047755026, \"precipitation\": 32.84745237938085, \"condition\": \"fog\"}, {\"temperature\": -5.033320662096024, \"wind\": 94.25698462447689, \"precipitation\": 43.460229120490254, \"condition\": \"fog\"}, {\"temperature\": -9.971237977814939, \"wind\": 93.98073112476098, \"precipitation\": 74.78247080628827, \"condition\": \"sun\"}, {\"temperature\": 14.882883965973484, \"wind\": 24.785612027523594, \"precipitation\": 51.19773747140527, \"condition\": \"drizzle\"}, {\"temperature\": 14.018034425277474, \"wind\": 91.62717881393021, \"precipitation\": 99.49522416477019, \"condition\": \"sun\"}, {\"temperature\": 31.305982604448104, \"wind\": 40.90373869893349, \"precipitation\": 74.89298496286528, \"condition\": \"rain\"}, {\"temperature\": 30.610723278623702, \"wind\": 42.06017669565571, \"precipitation\": 69.67703870061514, \"condition\": \"snow\"}, {\"temperature\": 34.74664418075527, \"wind\": 38.58462817605697, \"precipitation\": 67.82787083848606, \"condition\": \"sun\"}, {\"temperature\": 8.120514857460222, \"wind\": 98.79896637292207, \"precipitation\": 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\"snow\"}, {\"temperature\": 27.507453592914565, \"wind\": 29.838439613656075, \"precipitation\": 27.845875256677367, \"condition\": \"fog\"}, {\"temperature\": -6.870451234225997, \"wind\": 54.90225410574824, \"precipitation\": 29.74026895430255, \"condition\": \"snow\"}, {\"temperature\": 41.66879121402853, \"wind\": 21.388390668516323, \"precipitation\": 23.449697200445573, \"condition\": \"sun\"}, {\"temperature\": 15.838369384298645, \"wind\": 14.553164438107524, \"precipitation\": 78.9078385630916, \"condition\": \"sun\"}, {\"temperature\": 13.794652090601591, \"wind\": 31.915985033787553, \"precipitation\": 65.39000850075058, \"condition\": \"fog\"}, {\"temperature\": -0.24791853446323842, \"wind\": 16.053122209894966, \"precipitation\": 26.219628309452382, \"condition\": \"sun\"}, {\"temperature\": 20.625989859426074, \"wind\": 15.348759697534453, \"precipitation\": 94.2004787208339, \"condition\": \"rain\"}, {\"temperature\": 17.22130558630064, \"wind\": 61.15140884010469, \"precipitation\": 27.79385279217691, \"condition\": \"snow\"}, {\"temperature\": 15.342628921870396, \"wind\": 52.15522860596962, \"precipitation\": 44.258578235337545, \"condition\": \"drizzle\"}, {\"temperature\": 43.28838980732394, \"wind\": 30.617573960681387, \"precipitation\": 90.705784312922, \"condition\": \"drizzle\"}, {\"temperature\": 31.752614189233682, \"wind\": 54.002536771242745, \"precipitation\": 98.5871144935895, \"condition\": \"drizzle\"}, {\"temperature\": 3.5475184692079793, \"wind\": 96.91039458765935, \"precipitation\": 50.00054618320339, \"condition\": \"fog\"}]}}, {\"mode\": \"vega-lite\"});\n</script>",
       "text/plain": "alt.LayerChart(...)"
      },
      "metadata": {},
@@ -463,14 +473,14 @@
    ],
    "source": [
     "base = alt.Chart(df)\n",
-    "arc = base.mark_arc(stroke='#ffffff').encode(\n",
-    "    theta=alt.Theta(field='condition', type='nominal'),\n",
-    "    radius=alt.Radius(field='temperature', type='quantitative', aggregate='mean')\n",
+    "arc = base.mark_arc(stroke=\"#ffffff\").encode(\n",
+    "    theta=alt.Theta(field=\"condition\", type=\"nominal\"),\n",
+    "    radius=alt.Radius(field=\"temperature\", type=\"quantitative\", aggregate=\"mean\"),\n",
     ")\n",
     "text = base.mark_text(radiusOffset=15).encode(\n",
-    "    theta=alt.Theta(field='condition', type='nominal'),\n",
-    "    radius=alt.Radius(field='temperature', type='quantitative', aggregate='mean'),\n",
-    "    text=alt.Text(field='condition', type='nominal')\n",
+    "    theta=alt.Theta(field=\"condition\", type=\"nominal\"),\n",
+    "    radius=alt.Radius(field=\"temperature\", type=\"quantitative\", aggregate=\"mean\"),\n",
+    "    text=alt.Text(field=\"condition\", type=\"nominal\"),\n",
     ")\n",
     "display_chart(arc + text)"
    ]
@@ -484,7 +494,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 53,
+   "execution_count": 177,
    "metadata": {},
    "outputs": [
     {
@@ -502,33 +512,35 @@
     }
    ],
    "source": [
-    "facts = ['attribute(number_rows,root,100).',\n",
-    " 'entity(field,root,condition).',\n",
-    " 'attribute((field,name),condition,condition).',\n",
-    " 'attribute((field,type),condition,string).',\n",
-    " 'entity(view,root,0).',\n",
-    " 'entity(mark,0,1).',\n",
-    " 'attribute((mark,type),1,bar).',\n",
-    " 'entity(encoding,1,2).',\n",
-    " 'attribute((encoding,channel),2,x).',\n",
-    " 'attribute((encoding,field),2,condition).',\n",
-    " 'entity(encoding,1,3).',\n",
-    " 'attribute((encoding,channel),3,y).',\n",
-    " 'attribute((encoding,aggregate),3,count).',\n",
-    " 'entity(scale,0,4).',\n",
-    " 'attribute((scale,channel),4,x).',\n",
-    " 'attribute((scale,type),4,ordinal).',\n",
-    " 'entity(scale,0,5).',\n",
-    " 'attribute((scale,channel),5,y).',\n",
-    " 'attribute((scale,type),5,linear).',\n",
-    " 'attribute((scale,zero),5,true).']\n",
+    "facts = [\n",
+    "    \"attribute(number_rows,root,100).\",\n",
+    "    \"entity(field,root,condition).\",\n",
+    "    \"attribute((field,name),condition,condition).\",\n",
+    "    \"attribute((field,type),condition,string).\",\n",
+    "    \"entity(view,root,0).\",\n",
+    "    \"entity(mark,0,1).\",\n",
+    "    \"attribute((mark,type),1,bar).\",\n",
+    "    \"entity(encoding,1,2).\",\n",
+    "    \"attribute((encoding,channel),2,x).\",\n",
+    "    \"attribute((encoding,field),2,condition).\",\n",
+    "    \"entity(encoding,1,3).\",\n",
+    "    \"attribute((encoding,channel),3,y).\",\n",
+    "    \"attribute((encoding,aggregate),3,count).\",\n",
+    "    \"entity(scale,0,4).\",\n",
+    "    \"attribute((scale,channel),4,x).\",\n",
+    "    \"attribute((scale,type),4,ordinal).\",\n",
+    "    \"entity(scale,0,5).\",\n",
+    "    \"attribute((scale,channel),5,y).\",\n",
+    "    \"attribute((scale,type),5,linear).\",\n",
+    "    \"attribute((scale,zero),5,true).\",\n",
+    "]\n",
     "spec = facts_to_dict(facts)\n",
     "pprint(spec)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 54,
+   "execution_count": 178,
    "metadata": {},
    "outputs": [
     {
@@ -549,7 +561,7 @@
     },
     {
      "data": {
-      "text/html": "\n<div id=\"altair-viz-a96b3a6f66bf4806b5884aa551901b3c\"></div>\n<script type=\"text/javascript\">\n  var VEGA_DEBUG = (typeof VEGA_DEBUG == \"undefined\") ? {} : VEGA_DEBUG;\n  (function(spec, embedOpt){\n    let outputDiv = document.currentScript.previousElementSibling;\n    if (outputDiv.id !== \"altair-viz-a96b3a6f66bf4806b5884aa551901b3c\") {\n      outputDiv = document.getElementById(\"altair-viz-a96b3a6f66bf4806b5884aa551901b3c\");\n    }\n    const paths = {\n      \"vega\": \"https://cdn.jsdelivr.net/npm//vega@5?noext\",\n      \"vega-lib\": \"https://cdn.jsdelivr.net/npm//vega-lib?noext\",\n      \"vega-lite\": \"https://cdn.jsdelivr.net/npm//vega-lite@4.17.0?noext\",\n      \"vega-embed\": \"https://cdn.jsdelivr.net/npm//vega-embed@6?noext\",\n    };\n\n    function maybeLoadScript(lib, version) {\n      var key = `${lib.replace(\"-\", \"\")}_version`;\n      return (VEGA_DEBUG[key] == version) ?\n        Promise.resolve(paths[lib]) :\n        new Promise(function(resolve, reject) {\n          var s = document.createElement('script');\n          document.getElementsByTagName(\"head\")[0].appendChild(s);\n          s.async = true;\n          s.onload = () => {\n            VEGA_DEBUG[key] = version;\n            return resolve(paths[lib]);\n          };\n          s.onerror = () => reject(`Error loading script: ${paths[lib]}`);\n          s.src = paths[lib];\n        });\n    }\n\n    function showError(err) {\n      outputDiv.innerHTML = `<div class=\"error\" style=\"color:red;\">${err}</div>`;\n      throw err;\n    }\n\n    function displayChart(vegaEmbed) {\n      vegaEmbed(outputDiv, spec, embedOpt)\n        .catch(err => showError(`Javascript Error: ${err.message}<br>This usually means there's a typo in your chart specification. See the javascript console for the full traceback.`));\n    }\n\n    if(typeof define === \"function\" && define.amd) {\n      requirejs.config({paths});\n      require([\"vega-embed\"], displayChart, err => showError(`Error loading script: ${err.message}`));\n    } else {\n      maybeLoadScript(\"vega\", \"5\")\n        .then(() => maybeLoadScript(\"vega-lite\", \"4.17.0\"))\n        .then(() => maybeLoadScript(\"vega-embed\", \"6\"))\n        .catch(showError)\n        .then(() => displayChart(vegaEmbed));\n    }\n  })({\"config\": {\"view\": {\"continuousWidth\": 400, \"continuousHeight\": 300}}, \"data\": {\"name\": \"data-80b0e930866eee6a77413fd6e0890a78\"}, \"mark\": \"bar\", \"encoding\": {\"x\": {\"field\": \"condition\", \"scale\": {\"type\": \"ordinal\"}, \"type\": \"nominal\"}, \"y\": {\"aggregate\": \"count\", \"field\": \"condition\", \"scale\": {\"type\": \"linear\", \"zero\": true}, \"type\": \"nominal\"}}, \"$schema\": \"https://vega.github.io/schema/vega-lite/v4.17.0.json\", \"datasets\": {\"data-80b0e930866eee6a77413fd6e0890a78\": [{\"temperature\": 39.357871877508494, \"wind\": 11.562263885182233, \"precipitation\": 88.42051387921796, \"condition\": \"fog\"}, {\"temperature\": -5.947154608637572, \"wind\": 86.90701738497849, \"precipitation\": 70.55832915444152, \"condition\": \"rain\"}, {\"temperature\": 32.82765627853655, \"wind\": 97.65897402212389, \"precipitation\": 82.65511533530304, \"condition\": \"sun\"}, {\"temperature\": 17.525999106231197, \"wind\": 65.52797477069528, \"precipitation\": 53.86256526101837, \"condition\": \"snow\"}, {\"temperature\": -6.80882656934652, \"wind\": 37.03429394195952, \"precipitation\": 93.86525481254682, \"condition\": \"drizzle\"}, {\"temperature\": 42.35997285539091, \"wind\": 72.00671240950793, \"precipitation\": 40.6587905336316, \"condition\": \"sun\"}, {\"temperature\": 12.236046428620227, \"wind\": 24.35537864304579, \"precipitation\": 83.89080965364893, \"condition\": \"sun\"}, {\"temperature\": 42.8103257781665, \"wind\": 29.81101459268268, \"precipitation\": 71.55020159752638, \"condition\": \"sun\"}, {\"temperature\": 22.54392113778252, \"wind\": 96.88264927669367, \"precipitation\": 57.21207145158276, \"condition\": \"rain\"}, {\"temperature\": 22.503608231529917, \"wind\": 73.45718441223443, \"precipitation\": 18.48099480479052, \"condition\": \"fog\"}, {\"temperature\": 20.697023061259923, \"wind\": 78.8085781529467, \"precipitation\": 82.06153728611223, \"condition\": \"drizzle\"}, {\"temperature\": 25.290109397291054, \"wind\": 80.30649374788099, \"precipitation\": 22.36608661432985, \"condition\": \"sun\"}, {\"temperature\": 38.2799313550365, \"wind\": 67.47085587574028, \"precipitation\": 20.740111999310816, \"condition\": \"snow\"}, {\"temperature\": 3.6725463468113624, \"wind\": 1.0115541087158841, \"precipitation\": 18.15771285571497, \"condition\": \"fog\"}, {\"temperature\": 43.05607594953013, \"wind\": 60.68482719845524, \"precipitation\": 57.77089873340201, \"condition\": \"drizzle\"}, {\"temperature\": 32.26702695541979, \"wind\": 51.25287908408247, \"precipitation\": 82.37499650298116, \"condition\": \"sun\"}, {\"temperature\": 20.65470025342109, \"wind\": 17.357994382399223, \"precipitation\": 61.85803419037972, \"condition\": \"snow\"}, {\"temperature\": 7.591958649416281, \"wind\": 56.87567133218157, \"precipitation\": 63.83705679953054, \"condition\": \"drizzle\"}, {\"temperature\": 34.12588295742098, \"wind\": 53.49706318356736, \"precipitation\": 39.89871505509641, \"condition\": \"drizzle\"}, {\"temperature\": 43.35047614485006, \"wind\": 25.611854852857896, \"precipitation\": 80.36992353488051, \"condition\": \"sun\"}, {\"temperature\": -0.6670916465821719, \"wind\": 85.48944217634627, \"precipitation\": 74.19603252504737, \"condition\": \"fog\"}, {\"temperature\": 27.71533514546813, \"wind\": 92.40258299219964, \"precipitation\": 35.46329445299181, \"condition\": \"sun\"}, {\"temperature\": 42.990310063528334, \"wind\": 4.767210553938305, \"precipitation\": 78.84896594785124, \"condition\": \"drizzle\"}, {\"temperature\": 12.78024257419457, \"wind\": 70.42789298007587, \"precipitation\": 32.19857853159736, \"condition\": \"rain\"}, {\"temperature\": 12.345464511586698, \"wind\": 96.37504245663669, \"precipitation\": 58.32326475918834, \"condition\": \"drizzle\"}, {\"temperature\": 16.615985139736694, \"wind\": 79.42654814203834, \"precipitation\": 13.002687080260278, \"condition\": \"drizzle\"}, {\"temperature\": 37.42489242698708, \"wind\": 61.345695045120095, \"precipitation\": 43.77564041090408, \"condition\": \"rain\"}, {\"temperature\": 4.4803758908315565, \"wind\": 49.77522034422004, \"precipitation\": 50.69600709811043, \"condition\": \"drizzle\"}, {\"temperature\": 24.097652039323982, \"wind\": 8.979384326640405, \"precipitation\": 30.641954593528485, \"condition\": \"sun\"}, {\"temperature\": -5.322217743871135, 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\"condition\": \"sun\"}, {\"temperature\": 14.882883965973484, \"wind\": 24.785612027523594, \"precipitation\": 51.19773747140527, \"condition\": \"drizzle\"}, {\"temperature\": 14.018034425277474, \"wind\": 91.62717881393021, \"precipitation\": 99.49522416477019, \"condition\": \"sun\"}, {\"temperature\": 31.305982604448104, \"wind\": 40.90373869893349, \"precipitation\": 74.89298496286528, \"condition\": \"rain\"}, {\"temperature\": 30.610723278623702, \"wind\": 42.06017669565571, \"precipitation\": 69.67703870061514, \"condition\": \"snow\"}, {\"temperature\": 34.74664418075527, \"wind\": 38.58462817605697, \"precipitation\": 67.82787083848606, \"condition\": \"sun\"}, {\"temperature\": 8.120514857460222, \"wind\": 98.79896637292207, \"precipitation\": 21.126567495900296, \"condition\": \"drizzle\"}, {\"temperature\": 21.830015183550092, \"wind\": 22.1211872838582, \"precipitation\": 79.23266981302642, \"condition\": \"fog\"}, {\"temperature\": 37.98236222048335, \"wind\": 3.9308035344873593, \"precipitation\": 14.592671850934291, \"condition\": \"rain\"}, {\"temperature\": 25.958872120055887, \"wind\": 30.880613774748145, \"precipitation\": 81.56963648865039, \"condition\": \"rain\"}, {\"temperature\": 35.17236224867325, \"wind\": 31.08177020391971, \"precipitation\": 24.18647666653794, \"condition\": \"rain\"}, {\"temperature\": 33.364342578760876, \"wind\": 2.9246595809319653, \"precipitation\": 12.15848602978733, \"condition\": \"fog\"}, {\"temperature\": -3.5902835942627487, \"wind\": 86.99227504041556, \"precipitation\": 2.3639517923128017, \"condition\": \"drizzle\"}, {\"temperature\": 43.53091004081406, \"wind\": 70.60869224087214, \"precipitation\": 66.94726954818158, \"condition\": \"rain\"}, {\"temperature\": 1.8337888199719252, \"wind\": 75.06866321814911, \"precipitation\": 53.6891397098117, \"condition\": \"sun\"}, {\"temperature\": 43.47830583880354, \"wind\": 71.68689230524836, \"precipitation\": 31.73117090776013, \"condition\": 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28.248344335114005, \"wind\": 74.65204013977382, \"precipitation\": 8.992377726473755, \"condition\": \"drizzle\"}, {\"temperature\": 40.71245089747694, \"wind\": 60.52030820865206, \"precipitation\": 5.486289017174572, \"condition\": \"rain\"}, {\"temperature\": 1.2855687063133647, \"wind\": 47.74453362846665, \"precipitation\": 77.71039918592594, \"condition\": \"drizzle\"}, {\"temperature\": 13.997864573343104, \"wind\": 99.2063323267444, \"precipitation\": 14.897152160823302, \"condition\": \"drizzle\"}, {\"temperature\": 18.825549046465813, \"wind\": 96.7516586164724, \"precipitation\": 62.15480712924485, \"condition\": \"rain\"}, {\"temperature\": 17.102600135203243, \"wind\": 95.33201102579268, \"precipitation\": 1.76947633335095, \"condition\": \"rain\"}, {\"temperature\": 31.603226292108516, \"wind\": 80.1260277875885, \"precipitation\": 19.250819441340848, \"condition\": \"drizzle\"}, {\"temperature\": 7.272202684808242, \"wind\": 8.416568701596594, \"precipitation\": 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\"wind\": 7.925060993257304, \"precipitation\": 73.27745598517468, \"condition\": \"snow\"}, {\"temperature\": 30.25106478610541, \"wind\": 53.60474576386106, \"precipitation\": 76.63592895791527, \"condition\": \"sun\"}, {\"temperature\": 12.08528607254729, \"wind\": 11.679210728025568, \"precipitation\": 21.30987094861694, \"condition\": \"drizzle\"}, {\"temperature\": 20.103305307522167, \"wind\": 35.51132614216856, \"precipitation\": 99.11641742479553, \"condition\": \"snow\"}, {\"temperature\": 34.61293495454381, \"wind\": 16.44814913694985, \"precipitation\": 76.5788070641912, \"condition\": \"sun\"}, {\"temperature\": 5.3304368864748515, \"wind\": 11.488543420187414, \"precipitation\": 23.611522242446682, \"condition\": \"rain\"}, {\"temperature\": 10.624231316087673, \"wind\": 89.57677208906625, \"precipitation\": 17.901521820239154, \"condition\": \"rain\"}, {\"temperature\": 16.45869339879156, \"wind\": 82.14358903068431, \"precipitation\": 50.5274648107178, \"condition\": \"drizzle\"}, {\"temperature\": 30.4859555666389, \"wind\": 85.43429025210673, \"precipitation\": 99.7314407177562, \"condition\": \"sun\"}, {\"temperature\": -7.842697704519862, \"wind\": 20.10431994181, \"precipitation\": 8.499755604198123, \"condition\": \"drizzle\"}, {\"temperature\": 23.82197430970396, \"wind\": 30.71236264475776, \"precipitation\": 91.23232368725205, \"condition\": \"snow\"}, {\"temperature\": 43.63862559514364, \"wind\": 28.821660476932877, \"precipitation\": 99.71103207097889, \"condition\": \"fog\"}, {\"temperature\": 8.981532662882305, \"wind\": 35.921027372850865, \"precipitation\": 91.12082810014113, \"condition\": \"fog\"}, {\"temperature\": 26.077729266653087, \"wind\": 63.53612288999908, \"precipitation\": 90.09748712912719, \"condition\": \"sun\"}, {\"temperature\": 38.44181274295784, \"wind\": 71.99143401846956, \"precipitation\": 21.221688878355216, \"condition\": \"rain\"}, {\"temperature\": 34.78710550916185, \"wind\": 89.27467266301889, \"precipitation\": 41.1955282025937, \"condition\": \"sun\"}, {\"temperature\": -5.848035132361012, \"wind\": 57.23792962073, \"precipitation\": 64.23162970775795, \"condition\": \"rain\"}, {\"temperature\": 0.6933169720006127, \"wind\": 72.76756692493736, \"precipitation\": 62.223235261304524, \"condition\": \"drizzle\"}]}}, {\"mode\": \"vega-lite\"});\n</script>",
+      "text/html": "\n<div id=\"altair-viz-5dfea9f5ca5844e7b16d75f695c70eba\"></div>\n<script type=\"text/javascript\">\n  var VEGA_DEBUG = (typeof VEGA_DEBUG == \"undefined\") ? {} : VEGA_DEBUG;\n  (function(spec, embedOpt){\n    let outputDiv = document.currentScript.previousElementSibling;\n    if (outputDiv.id !== \"altair-viz-5dfea9f5ca5844e7b16d75f695c70eba\") {\n      outputDiv = document.getElementById(\"altair-viz-5dfea9f5ca5844e7b16d75f695c70eba\");\n    }\n    const paths = {\n      \"vega\": \"https://cdn.jsdelivr.net/npm//vega@5?noext\",\n      \"vega-lib\": \"https://cdn.jsdelivr.net/npm//vega-lib?noext\",\n      \"vega-lite\": \"https://cdn.jsdelivr.net/npm//vega-lite@4.17.0?noext\",\n      \"vega-embed\": \"https://cdn.jsdelivr.net/npm//vega-embed@6?noext\",\n    };\n\n    function maybeLoadScript(lib, version) {\n      var key = `${lib.replace(\"-\", \"\")}_version`;\n      return (VEGA_DEBUG[key] == version) ?\n        Promise.resolve(paths[lib]) :\n        new Promise(function(resolve, reject) {\n          var s = document.createElement('script');\n          document.getElementsByTagName(\"head\")[0].appendChild(s);\n          s.async = true;\n          s.onload = () => {\n            VEGA_DEBUG[key] = version;\n            return resolve(paths[lib]);\n          };\n          s.onerror = () => reject(`Error loading script: ${paths[lib]}`);\n          s.src = paths[lib];\n        });\n    }\n\n    function showError(err) {\n      outputDiv.innerHTML = `<div class=\"error\" style=\"color:red;\">${err}</div>`;\n      throw err;\n    }\n\n    function displayChart(vegaEmbed) {\n      vegaEmbed(outputDiv, spec, embedOpt)\n        .catch(err => showError(`Javascript Error: ${err.message}<br>This usually means there's a typo in your chart specification. See the javascript console for the full traceback.`));\n    }\n\n    if(typeof define === \"function\" && define.amd) {\n      requirejs.config({paths});\n      require([\"vega-embed\"], displayChart, err => showError(`Error loading script: ${err.message}`));\n    } else {\n      maybeLoadScript(\"vega\", \"5\")\n        .then(() => maybeLoadScript(\"vega-lite\", \"4.17.0\"))\n        .then(() => maybeLoadScript(\"vega-embed\", \"6\"))\n        .catch(showError)\n        .then(() => displayChart(vegaEmbed));\n    }\n  })({\"config\": {\"view\": {\"continuousWidth\": 400, \"continuousHeight\": 300}}, \"data\": {\"name\": \"data-62648c40dc40a84dcc0ff734b69b013d\"}, \"mark\": \"bar\", \"encoding\": {\"x\": {\"field\": \"condition\", \"scale\": {\"type\": \"ordinal\"}, \"type\": \"nominal\"}, \"y\": {\"aggregate\": \"count\", \"field\": \"condition\", \"scale\": {\"type\": \"linear\", \"zero\": true}, \"type\": \"nominal\"}}, \"$schema\": \"https://vega.github.io/schema/vega-lite/v4.17.0.json\", \"datasets\": {\"data-62648c40dc40a84dcc0ff734b69b013d\": [{\"temperature\": 15.949648750822519, \"wind\": 44.064474882832506, \"precipitation\": 39.57102111167698, \"condition\": \"sun\"}, {\"temperature\": 35.80410298761198, \"wind\": 57.347114406626844, \"precipitation\": 51.104157124186436, \"condition\": \"snow\"}, {\"temperature\": 34.39048786822457, \"wind\": 96.36048231593197, \"precipitation\": 40.96980376900311, \"condition\": \"drizzle\"}, {\"temperature\": 7.204885708939138, \"wind\": 25.146399378672125, \"precipitation\": 85.49017897658906, \"condition\": \"drizzle\"}, {\"temperature\": 19.55284015712061, \"wind\": 57.88396140686759, \"precipitation\": 73.6976786812617, \"condition\": \"sun\"}, {\"temperature\": 40.95867840323979, \"wind\": 18.240723526069058, \"precipitation\": 12.344374169099414, \"condition\": \"drizzle\"}, {\"temperature\": 8.037410652418316, \"wind\": 34.85524928680391, \"precipitation\": 47.39721336761291, \"condition\": \"drizzle\"}, {\"temperature\": -0.9238346314127046, \"wind\": 38.27888770381765, \"precipitation\": 49.084327395470694, \"condition\": \"snow\"}, {\"temperature\": 5.432162476529914, \"wind\": 26.375774021896824, \"precipitation\": 11.84973364714308, \"condition\": \"fog\"}, {\"temperature\": -0.5233284049906253, \"wind\": 20.341299498563536, \"precipitation\": 17.599397407184547, \"condition\": \"rain\"}, {\"temperature\": -0.32120652264539906, \"wind\": 56.70670804712174, \"precipitation\": 27.900390497052797, \"condition\": \"snow\"}, {\"temperature\": -5.8172209322540835, \"wind\": 7.922327363206739, \"precipitation\": 58.97450879694346, \"condition\": \"sun\"}, {\"temperature\": 29.348029927183475, \"wind\": 42.36486641293023, \"precipitation\": 52.297851298205714, \"condition\": \"snow\"}, {\"temperature\": -3.170224211296139, \"wind\": 25.422063817654927, \"precipitation\": 75.95709912967573, \"condition\": \"sun\"}, {\"temperature\": 29.762058145832015, \"wind\": 60.50785926641081, \"precipitation\": 27.63426836016134, \"condition\": \"sun\"}, {\"temperature\": -2.4226248703646167, \"wind\": 71.82451957436714, \"precipitation\": 27.866577679535155, \"condition\": \"rain\"}, {\"temperature\": 27.72342502276807, \"wind\": 25.495165547172526, \"precipitation\": 56.952472897674525, \"condition\": \"rain\"}, {\"temperature\": 42.86155275131322, \"wind\": 64.07798840013274, \"precipitation\": 43.20732916361416, \"condition\": \"drizzle\"}, {\"temperature\": 17.672356545916294, \"wind\": 69.76681823406481, \"precipitation\": 4.878513449934685, \"condition\": \"snow\"}, {\"temperature\": 14.10656929258668, \"wind\": 57.176270850584096, \"precipitation\": 22.99874996214144, \"condition\": \"sun\"}, {\"temperature\": 13.738975343826219, \"wind\": 47.92233289336022, \"precipitation\": 14.35681797090771, \"condition\": \"drizzle\"}, {\"temperature\": 38.54857944378019, \"wind\": 71.3951998928714, \"precipitation\": 47.86763119099666, \"condition\": \"rain\"}, {\"temperature\": 35.41541728844566, \"wind\": 15.372466094026361, \"precipitation\": 10.140892669165568, \"condition\": \"drizzle\"}, {\"temperature\": 42.8109485726051, \"wind\": 19.292730074798236, \"precipitation\": 83.72184051359054, \"condition\": \"sun\"}, {\"temperature\": 5.541837860134734, \"wind\": 37.91528502390926, \"precipitation\": 1.806095907348293, \"condition\": \"rain\"}, {\"temperature\": 31.26072818540954, \"wind\": 25.613046818128893, \"precipitation\": 93.99993502991724, \"condition\": \"snow\"}, {\"temperature\": 12.652262480706526, \"wind\": 19.716955298970042, \"precipitation\": 4.277209571833773, \"condition\": \"snow\"}, {\"temperature\": 27.464734441100425, \"wind\": 18.45750848171699, \"precipitation\": 14.862245845341137, \"condition\": \"snow\"}, {\"temperature\": 39.17194283180486, \"wind\": 62.584966101983305, \"precipitation\": 61.90806088367137, \"condition\": \"drizzle\"}, {\"temperature\": 20.57556038458332, \"wind\": 6.979458445589614, \"precipitation\": 26.20161503090155, \"condition\": \"fog\"}, {\"temperature\": 43.4376707328582, \"wind\": 91.72880025636312, \"precipitation\": 49.92669754392897, \"condition\": \"rain\"}, {\"temperature\": 37.392448305959796, \"wind\": 37.3453361137289, \"precipitation\": 79.01145543700821, \"condition\": \"rain\"}, {\"temperature\": -0.9740355983502056, \"wind\": 52.36556373635527, \"precipitation\": 30.452338583138562, \"condition\": \"fog\"}, {\"temperature\": 32.483093158374864, \"wind\": 88.0719315131664, \"precipitation\": 79.80325870322564, \"condition\": \"drizzle\"}, {\"temperature\": 35.06833977125789, \"wind\": 20.182255224013822, \"precipitation\": 68.32831560054159, \"condition\": \"drizzle\"}, {\"temperature\": 30.648689765220006, \"wind\": 70.20845647358497, \"precipitation\": 14.839756419615913, \"condition\": \"fog\"}, {\"temperature\": 17.568761783892697, \"wind\": 23.56533394038428, \"precipitation\": 33.43028312709272, \"condition\": \"fog\"}, {\"temperature\": 37.668328098899124, \"wind\": 25.752457285889363, \"precipitation\": 22.16206318576326, \"condition\": \"fog\"}, {\"temperature\": 5.014064033030415, \"wind\": 35.85304116185546, \"precipitation\": 50.430635606761776, \"condition\": \"drizzle\"}, {\"temperature\": 0.07199515030012726, \"wind\": 2.3037918503235444, \"precipitation\": 43.68655656674591, \"condition\": \"snow\"}, {\"temperature\": 5.954592424892175, \"wind\": 97.51084981729826, \"precipitation\": 18.937945167300562, \"condition\": \"fog\"}, {\"temperature\": 30.328519543203832, \"wind\": 11.124122490003696, \"precipitation\": 16.09587268986017, \"condition\": \"rain\"}, {\"temperature\": 14.46236976140856, \"wind\": 51.39244007969178, \"precipitation\": 51.52316459464377, \"condition\": \"fog\"}, {\"temperature\": 9.396286885496181, \"wind\": 14.413632366424933, \"precipitation\": 58.34025135533383, \"condition\": \"drizzle\"}, {\"temperature\": -7.883075294840844, \"wind\": 98.24018815877206, \"precipitation\": 51.405831276908884, \"condition\": \"snow\"}, {\"temperature\": 36.853296493232534, \"wind\": 17.44230067062308, \"precipitation\": 55.91312117168676, \"condition\": \"drizzle\"}, {\"temperature\": -9.582596783874624, \"wind\": 23.835535427130438, \"precipitation\": 61.605688998244446, \"condition\": \"fog\"}, {\"temperature\": -9.419128745924892, \"wind\": 53.25395558360789, \"precipitation\": 78.4515605013817, \"condition\": \"sun\"}, {\"temperature\": 4.571583314676532, \"wind\": 9.068613866100073, \"precipitation\": 42.448264608376526, \"condition\": \"rain\"}, {\"temperature\": 6.6203336157740615, \"wind\": 35.87691221835703, \"precipitation\": 64.98980696659649, \"condition\": \"rain\"}, {\"temperature\": 20.627672555392106, \"wind\": 28.946823430475742, \"precipitation\": 14.301584887467733, \"condition\": \"rain\"}, {\"temperature\": -9.583736731217567, \"wind\": 83.64814422156614, \"precipitation\": 35.873227198260004, \"condition\": \"snow\"}, {\"temperature\": 11.018260277272166, \"wind\": 82.98059861355699, \"precipitation\": 67.52390799343073, \"condition\": \"drizzle\"}, {\"temperature\": 5.411451095385809, \"wind\": 21.05653192591779, \"precipitation\": 98.10920750481597, \"condition\": \"fog\"}, {\"temperature\": 2.807402352777551, \"wind\": 40.81431754466085, \"precipitation\": 17.10555449196962, \"condition\": \"drizzle\"}, {\"temperature\": 33.60928142306782, \"wind\": 68.86862385408263, \"precipitation\": 1.7511520670655312, \"condition\": \"drizzle\"}, {\"temperature\": -3.7305842295491463, \"wind\": 22.99270590580842, \"precipitation\": 20.45024425044729, \"condition\": \"sun\"}, {\"temperature\": 38.88636288200788, \"wind\": 4.451268770649408, \"precipitation\": 50.18581381273084, \"condition\": \"snow\"}, {\"temperature\": 30.677916880360065, \"wind\": 57.58927095398997, \"precipitation\": 3.882294040985468, \"condition\": \"sun\"}, {\"temperature\": 20.936747003011536, \"wind\": 86.15890903839221, \"precipitation\": 84.64626055952643, \"condition\": \"sun\"}, {\"temperature\": 37.960508459665974, \"wind\": 83.22348385800635, \"precipitation\": 78.09579123477448, \"condition\": \"sun\"}, {\"temperature\": 2.789340992140385, \"wind\": 5.604841844996544, \"precipitation\": 64.23176719571818, \"condition\": \"rain\"}, {\"temperature\": -7.362921707472104, \"wind\": 57.37740217449133, \"precipitation\": 18.499742279296438, \"condition\": \"sun\"}, {\"temperature\": 1.1912189059593281, \"wind\": 46.52929788933954, \"precipitation\": 56.223732701756326, \"condition\": \"rain\"}, {\"temperature\": 5.601287545202137, \"wind\": 10.557820768094484, \"precipitation\": 10.005361911795385, \"condition\": \"sun\"}, {\"temperature\": 38.06145401149945, \"wind\": 40.55588658579815, \"precipitation\": 18.57864165136399, \"condition\": \"rain\"}, {\"temperature\": 10.003338415782952, \"wind\": 0.38143550979561347, \"precipitation\": 3.4323593600883995, \"condition\": \"snow\"}, {\"temperature\": 35.51840784136351, \"wind\": 85.38213169679159, \"precipitation\": 72.28024508142481, \"condition\": \"rain\"}, {\"temperature\": 42.22464006089062, \"wind\": 21.90245982426261, \"precipitation\": 64.4540475166047, \"condition\": \"snow\"}, {\"temperature\": 42.62614276410388, \"wind\": 16.596731146807365, \"precipitation\": 85.31723680641925, \"condition\": \"sun\"}, {\"temperature\": 4.666633193701054, \"wind\": 13.9068281587152, \"precipitation\": 87.48180339020342, \"condition\": \"drizzle\"}, {\"temperature\": 16.15426117162615, \"wind\": 38.00342325742586, \"precipitation\": 47.264072847267016, \"condition\": \"rain\"}, {\"temperature\": 15.032591880472172, \"wind\": 86.42884715473586, \"precipitation\": 81.69554228509587, \"condition\": \"rain\"}, {\"temperature\": 35.19149371217065, \"wind\": 72.5074270480888, \"precipitation\": 22.443215096530544, \"condition\": \"sun\"}, {\"temperature\": 26.84120821812121, \"wind\": 83.91441221303555, \"precipitation\": 63.11915666511897, \"condition\": \"drizzle\"}, {\"temperature\": 34.88005063805122, \"wind\": 45.33004448381994, \"precipitation\": 0.9935886811615613, \"condition\": \"rain\"}, {\"temperature\": 41.376840349386185, \"wind\": 7.544840957817378, \"precipitation\": 54.70235300254609, \"condition\": \"snow\"}, {\"temperature\": 36.960725847409456, \"wind\": 49.46574838149229, \"precipitation\": 85.47567556668297, \"condition\": \"snow\"}, {\"temperature\": 14.586289413415074, \"wind\": 4.489700154671472, \"precipitation\": 10.31362572720238, \"condition\": \"sun\"}, {\"temperature\": 20.04343950622185, \"wind\": 66.32817964057357, \"precipitation\": 74.44590348494177, \"condition\": \"sun\"}, {\"temperature\": 25.469560172224703, \"wind\": 82.06241734640489, \"precipitation\": 61.201009993418275, \"condition\": \"rain\"}, {\"temperature\": 20.070995853722245, \"wind\": 46.445227996549974, \"precipitation\": 53.59556892779981, \"condition\": \"snow\"}, {\"temperature\": 5.685018294722338, \"wind\": 58.17077525039538, \"precipitation\": 31.236078403128474, \"condition\": \"snow\"}, {\"temperature\": 42.487483009401764, \"wind\": 71.08000859923487, \"precipitation\": 61.47201457950021, \"condition\": \"rain\"}, {\"temperature\": -7.079256299328551, \"wind\": 27.004309009604967, \"precipitation\": 19.794263832693815, \"condition\": \"rain\"}, {\"temperature\": -5.045047126960084, \"wind\": 88.93771732732128, \"precipitation\": 99.50453536234512, \"condition\": \"fog\"}, {\"temperature\": 25.4533582484732, \"wind\": 96.38774772376792, \"precipitation\": 69.85460214191481, \"condition\": \"rain\"}, {\"temperature\": 22.955919291252926, \"wind\": 88.48558780603962, \"precipitation\": 40.268588772168876, \"condition\": \"snow\"}, {\"temperature\": 27.507453592914565, \"wind\": 29.838439613656075, \"precipitation\": 27.845875256677367, \"condition\": \"fog\"}, {\"temperature\": -6.870451234225997, \"wind\": 54.90225410574824, \"precipitation\": 29.74026895430255, \"condition\": \"snow\"}, {\"temperature\": 41.66879121402853, \"wind\": 21.388390668516323, \"precipitation\": 23.449697200445573, \"condition\": \"sun\"}, {\"temperature\": 15.838369384298645, \"wind\": 14.553164438107524, \"precipitation\": 78.9078385630916, \"condition\": \"sun\"}, {\"temperature\": 13.794652090601591, \"wind\": 31.915985033787553, \"precipitation\": 65.39000850075058, \"condition\": \"fog\"}, {\"temperature\": -0.24791853446323842, \"wind\": 16.053122209894966, \"precipitation\": 26.219628309452382, \"condition\": \"sun\"}, {\"temperature\": 20.625989859426074, \"wind\": 15.348759697534453, \"precipitation\": 94.2004787208339, \"condition\": \"rain\"}, {\"temperature\": 17.22130558630064, \"wind\": 61.15140884010469, \"precipitation\": 27.79385279217691, \"condition\": \"snow\"}, {\"temperature\": 15.342628921870396, \"wind\": 52.15522860596962, \"precipitation\": 44.258578235337545, \"condition\": \"drizzle\"}, {\"temperature\": 43.28838980732394, \"wind\": 30.617573960681387, \"precipitation\": 90.705784312922, \"condition\": \"drizzle\"}, {\"temperature\": 31.752614189233682, \"wind\": 54.002536771242745, \"precipitation\": 98.5871144935895, \"condition\": \"drizzle\"}, {\"temperature\": 3.5475184692079793, \"wind\": 96.91039458765935, \"precipitation\": 50.00054618320339, \"condition\": \"fog\"}]}}, {\"mode\": \"vega-lite\"});\n</script>",
       "text/plain": "alt.Chart(...)"
      },
      "metadata": {},
@@ -559,13 +571,13 @@
    "source": [
     "base = alt.Chart(df)\n",
     "bar = base.mark_bar().encode(\n",
-    "    x=alt.X(field='condition', \n",
-    "            type='nominal', \n",
-    "            scale=alt.Scale(type='ordinal')),\n",
-    "    y=alt.Y(field='condition', \n",
-    "            type='nominal', \n",
-    "            aggregate='count', \n",
-    "            scale=alt.Scale(type='linear', zero=True))\n",
+    "    x=alt.X(field=\"condition\", type=\"nominal\", scale=alt.Scale(type=\"ordinal\")),\n",
+    "    y=alt.Y(\n",
+    "        field=\"condition\",\n",
+    "        type=\"nominal\",\n",
+    "        aggregate=\"count\",\n",
+    "        scale=alt.Scale(type=\"linear\", zero=True),\n",
+    "    ),\n",
     ")\n",
     "display_chart(bar)"
    ]
@@ -579,7 +591,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 55,
+   "execution_count": 179,
    "metadata": {},
    "outputs": [
     {
@@ -599,34 +611,36 @@
     }
    ],
    "source": [
-    "facts = ['attribute(number_rows,root,100).',\n",
-    " 'entity(field,root,temperature).',\n",
-    " 'attribute((field,name),temperature,temperature).',\n",
-    " 'attribute((field,type),temperature,number).',\n",
-    " 'entity(view,root,0).',\n",
-    " 'entity(mark,0,1).',\n",
-    " 'attribute((mark,type),1,bar).',\n",
-    " 'entity(encoding,1,2).',\n",
-    " 'attribute((encoding,channel),2,x).',\n",
-    " 'attribute((encoding,field),2,temperature).',\n",
-    " 'attribute((encoding,binning),2,10).',\n",
-    " 'entity(encoding,1,3).',\n",
-    " 'attribute((encoding,channel),3,y).',\n",
-    " 'attribute((encoding,aggregate),3,count).',\n",
-    " 'entity(scale,0,4).',\n",
-    " 'attribute((scale,channel),4,x).',\n",
-    " 'attribute((scale,type),4,linear).',\n",
-    " 'entity(scale,0,5).',\n",
-    " 'attribute((scale,channel),5,y).',\n",
-    " 'attribute((scale,type),5,linear).',\n",
-    " 'attribute((scale,zero),5,true).']\n",
+    "facts = [\n",
+    "    \"attribute(number_rows,root,100).\",\n",
+    "    \"entity(field,root,temperature).\",\n",
+    "    \"attribute((field,name),temperature,temperature).\",\n",
+    "    \"attribute((field,type),temperature,number).\",\n",
+    "    \"entity(view,root,0).\",\n",
+    "    \"entity(mark,0,1).\",\n",
+    "    \"attribute((mark,type),1,bar).\",\n",
+    "    \"entity(encoding,1,2).\",\n",
+    "    \"attribute((encoding,channel),2,x).\",\n",
+    "    \"attribute((encoding,field),2,temperature).\",\n",
+    "    \"attribute((encoding,binning),2,10).\",\n",
+    "    \"entity(encoding,1,3).\",\n",
+    "    \"attribute((encoding,channel),3,y).\",\n",
+    "    \"attribute((encoding,aggregate),3,count).\",\n",
+    "    \"entity(scale,0,4).\",\n",
+    "    \"attribute((scale,channel),4,x).\",\n",
+    "    \"attribute((scale,type),4,linear).\",\n",
+    "    \"entity(scale,0,5).\",\n",
+    "    \"attribute((scale,channel),5,y).\",\n",
+    "    \"attribute((scale,type),5,linear).\",\n",
+    "    \"attribute((scale,zero),5,true).\",\n",
+    "]\n",
     "spec = facts_to_dict(facts)\n",
     "pprint(spec)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 56,
+   "execution_count": 180,
    "metadata": {},
    "outputs": [
     {
@@ -648,7 +662,7 @@
     },
     {
      "data": {
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47.86763119099666, \"condition\": \"rain\"}, {\"temperature\": 35.41541728844566, \"wind\": 15.372466094026361, \"precipitation\": 10.140892669165568, \"condition\": \"drizzle\"}, {\"temperature\": 42.8109485726051, \"wind\": 19.292730074798236, \"precipitation\": 83.72184051359054, \"condition\": \"sun\"}, {\"temperature\": 5.541837860134734, \"wind\": 37.91528502390926, \"precipitation\": 1.806095907348293, \"condition\": \"rain\"}, {\"temperature\": 31.26072818540954, \"wind\": 25.613046818128893, \"precipitation\": 93.99993502991724, \"condition\": \"snow\"}, {\"temperature\": 12.652262480706526, \"wind\": 19.716955298970042, \"precipitation\": 4.277209571833773, \"condition\": \"snow\"}, {\"temperature\": 27.464734441100425, \"wind\": 18.45750848171699, \"precipitation\": 14.862245845341137, \"condition\": \"snow\"}, {\"temperature\": 39.17194283180486, \"wind\": 62.584966101983305, \"precipitation\": 61.90806088367137, \"condition\": \"drizzle\"}, {\"temperature\": 20.57556038458332, \"wind\": 6.979458445589614, \"precipitation\": 26.20161503090155, \"condition\": \"fog\"}, {\"temperature\": 43.4376707328582, \"wind\": 91.72880025636312, \"precipitation\": 49.92669754392897, \"condition\": \"rain\"}, {\"temperature\": 37.392448305959796, \"wind\": 37.3453361137289, \"precipitation\": 79.01145543700821, \"condition\": \"rain\"}, {\"temperature\": -0.9740355983502056, \"wind\": 52.36556373635527, \"precipitation\": 30.452338583138562, \"condition\": \"fog\"}, {\"temperature\": 32.483093158374864, \"wind\": 88.0719315131664, \"precipitation\": 79.80325870322564, \"condition\": \"drizzle\"}, {\"temperature\": 35.06833977125789, \"wind\": 20.182255224013822, \"precipitation\": 68.32831560054159, \"condition\": \"drizzle\"}, {\"temperature\": 30.648689765220006, \"wind\": 70.20845647358497, \"precipitation\": 14.839756419615913, \"condition\": \"fog\"}, {\"temperature\": 17.568761783892697, \"wind\": 23.56533394038428, \"precipitation\": 33.43028312709272, \"condition\": \"fog\"}, {\"temperature\": 37.668328098899124, \"wind\": 25.752457285889363, \"precipitation\": 22.16206318576326, \"condition\": \"fog\"}, {\"temperature\": 5.014064033030415, \"wind\": 35.85304116185546, \"precipitation\": 50.430635606761776, \"condition\": \"drizzle\"}, {\"temperature\": 0.07199515030012726, \"wind\": 2.3037918503235444, \"precipitation\": 43.68655656674591, \"condition\": \"snow\"}, {\"temperature\": 5.954592424892175, \"wind\": 97.51084981729826, \"precipitation\": 18.937945167300562, \"condition\": \"fog\"}, {\"temperature\": 30.328519543203832, \"wind\": 11.124122490003696, \"precipitation\": 16.09587268986017, \"condition\": \"rain\"}, {\"temperature\": 14.46236976140856, \"wind\": 51.39244007969178, \"precipitation\": 51.52316459464377, \"condition\": \"fog\"}, {\"temperature\": 9.396286885496181, \"wind\": 14.413632366424933, \"precipitation\": 58.34025135533383, \"condition\": \"drizzle\"}, {\"temperature\": -7.883075294840844, \"wind\": 98.24018815877206, \"precipitation\": 51.405831276908884, \"condition\": \"snow\"}, {\"temperature\": 36.853296493232534, \"wind\": 17.44230067062308, \"precipitation\": 55.91312117168676, \"condition\": \"drizzle\"}, {\"temperature\": -9.582596783874624, \"wind\": 23.835535427130438, \"precipitation\": 61.605688998244446, \"condition\": \"fog\"}, {\"temperature\": -9.419128745924892, \"wind\": 53.25395558360789, \"precipitation\": 78.4515605013817, \"condition\": \"sun\"}, {\"temperature\": 4.571583314676532, \"wind\": 9.068613866100073, \"precipitation\": 42.448264608376526, \"condition\": \"rain\"}, {\"temperature\": 6.6203336157740615, \"wind\": 35.87691221835703, \"precipitation\": 64.98980696659649, \"condition\": \"rain\"}, {\"temperature\": 20.627672555392106, \"wind\": 28.946823430475742, \"precipitation\": 14.301584887467733, \"condition\": \"rain\"}, {\"temperature\": -9.583736731217567, \"wind\": 83.64814422156614, \"precipitation\": 35.873227198260004, \"condition\": \"snow\"}, {\"temperature\": 11.018260277272166, \"wind\": 82.98059861355699, \"precipitation\": 67.52390799343073, \"condition\": \"drizzle\"}, {\"temperature\": 5.411451095385809, \"wind\": 21.05653192591779, \"precipitation\": 98.10920750481597, \"condition\": \"fog\"}, {\"temperature\": 2.807402352777551, \"wind\": 40.81431754466085, \"precipitation\": 17.10555449196962, \"condition\": \"drizzle\"}, {\"temperature\": 33.60928142306782, \"wind\": 68.86862385408263, \"precipitation\": 1.7511520670655312, \"condition\": \"drizzle\"}, {\"temperature\": -3.7305842295491463, \"wind\": 22.99270590580842, \"precipitation\": 20.45024425044729, \"condition\": \"sun\"}, {\"temperature\": 38.88636288200788, \"wind\": 4.451268770649408, \"precipitation\": 50.18581381273084, \"condition\": \"snow\"}, {\"temperature\": 30.677916880360065, \"wind\": 57.58927095398997, \"precipitation\": 3.882294040985468, \"condition\": \"sun\"}, {\"temperature\": 20.936747003011536, \"wind\": 86.15890903839221, \"precipitation\": 84.64626055952643, \"condition\": \"sun\"}, {\"temperature\": 37.960508459665974, \"wind\": 83.22348385800635, \"precipitation\": 78.09579123477448, \"condition\": \"sun\"}, {\"temperature\": 2.789340992140385, \"wind\": 5.604841844996544, \"precipitation\": 64.23176719571818, \"condition\": \"rain\"}, {\"temperature\": -7.362921707472104, \"wind\": 57.37740217449133, \"precipitation\": 18.499742279296438, \"condition\": \"sun\"}, {\"temperature\": 1.1912189059593281, \"wind\": 46.52929788933954, \"precipitation\": 56.223732701756326, \"condition\": \"rain\"}, {\"temperature\": 5.601287545202137, \"wind\": 10.557820768094484, \"precipitation\": 10.005361911795385, \"condition\": \"sun\"}, {\"temperature\": 38.06145401149945, \"wind\": 40.55588658579815, \"precipitation\": 18.57864165136399, \"condition\": \"rain\"}, {\"temperature\": 10.003338415782952, \"wind\": 0.38143550979561347, \"precipitation\": 3.4323593600883995, \"condition\": \"snow\"}, {\"temperature\": 35.51840784136351, \"wind\": 85.38213169679159, \"precipitation\": 72.28024508142481, \"condition\": \"rain\"}, {\"temperature\": 42.22464006089062, \"wind\": 21.90245982426261, \"precipitation\": 64.4540475166047, \"condition\": \"snow\"}, {\"temperature\": 42.62614276410388, \"wind\": 16.596731146807365, \"precipitation\": 85.31723680641925, \"condition\": \"sun\"}, {\"temperature\": 4.666633193701054, \"wind\": 13.9068281587152, \"precipitation\": 87.48180339020342, \"condition\": \"drizzle\"}, {\"temperature\": 16.15426117162615, \"wind\": 38.00342325742586, \"precipitation\": 47.264072847267016, \"condition\": \"rain\"}, {\"temperature\": 15.032591880472172, \"wind\": 86.42884715473586, \"precipitation\": 81.69554228509587, \"condition\": \"rain\"}, {\"temperature\": 35.19149371217065, \"wind\": 72.5074270480888, \"precipitation\": 22.443215096530544, \"condition\": \"sun\"}, {\"temperature\": 26.84120821812121, \"wind\": 83.91441221303555, \"precipitation\": 63.11915666511897, \"condition\": \"drizzle\"}, {\"temperature\": 34.88005063805122, \"wind\": 45.33004448381994, \"precipitation\": 0.9935886811615613, \"condition\": \"rain\"}, {\"temperature\": 41.376840349386185, \"wind\": 7.544840957817378, \"precipitation\": 54.70235300254609, \"condition\": \"snow\"}, {\"temperature\": 36.960725847409456, \"wind\": 49.46574838149229, \"precipitation\": 85.47567556668297, \"condition\": \"snow\"}, {\"temperature\": 14.586289413415074, \"wind\": 4.489700154671472, \"precipitation\": 10.31362572720238, \"condition\": \"sun\"}, {\"temperature\": 20.04343950622185, \"wind\": 66.32817964057357, \"precipitation\": 74.44590348494177, \"condition\": \"sun\"}, {\"temperature\": 25.469560172224703, \"wind\": 82.06241734640489, \"precipitation\": 61.201009993418275, \"condition\": \"rain\"}, {\"temperature\": 20.070995853722245, \"wind\": 46.445227996549974, \"precipitation\": 53.59556892779981, \"condition\": \"snow\"}, {\"temperature\": 5.685018294722338, \"wind\": 58.17077525039538, \"precipitation\": 31.236078403128474, \"condition\": \"snow\"}, {\"temperature\": 42.487483009401764, \"wind\": 71.08000859923487, \"precipitation\": 61.47201457950021, \"condition\": \"rain\"}, {\"temperature\": -7.079256299328551, \"wind\": 27.004309009604967, \"precipitation\": 19.794263832693815, \"condition\": \"rain\"}, {\"temperature\": -5.045047126960084, \"wind\": 88.93771732732128, \"precipitation\": 99.50453536234512, \"condition\": \"fog\"}, {\"temperature\": 25.4533582484732, \"wind\": 96.38774772376792, \"precipitation\": 69.85460214191481, \"condition\": \"rain\"}, {\"temperature\": 22.955919291252926, \"wind\": 88.48558780603962, \"precipitation\": 40.268588772168876, \"condition\": \"snow\"}, {\"temperature\": 27.507453592914565, \"wind\": 29.838439613656075, \"precipitation\": 27.845875256677367, \"condition\": \"fog\"}, {\"temperature\": -6.870451234225997, \"wind\": 54.90225410574824, \"precipitation\": 29.74026895430255, \"condition\": \"snow\"}, {\"temperature\": 41.66879121402853, \"wind\": 21.388390668516323, \"precipitation\": 23.449697200445573, \"condition\": \"sun\"}, {\"temperature\": 15.838369384298645, \"wind\": 14.553164438107524, \"precipitation\": 78.9078385630916, \"condition\": \"sun\"}, {\"temperature\": 13.794652090601591, \"wind\": 31.915985033787553, \"precipitation\": 65.39000850075058, \"condition\": \"fog\"}, {\"temperature\": -0.24791853446323842, \"wind\": 16.053122209894966, \"precipitation\": 26.219628309452382, \"condition\": \"sun\"}, {\"temperature\": 20.625989859426074, \"wind\": 15.348759697534453, \"precipitation\": 94.2004787208339, \"condition\": \"rain\"}, {\"temperature\": 17.22130558630064, \"wind\": 61.15140884010469, \"precipitation\": 27.79385279217691, \"condition\": \"snow\"}, {\"temperature\": 15.342628921870396, \"wind\": 52.15522860596962, \"precipitation\": 44.258578235337545, \"condition\": \"drizzle\"}, {\"temperature\": 43.28838980732394, \"wind\": 30.617573960681387, \"precipitation\": 90.705784312922, \"condition\": \"drizzle\"}, {\"temperature\": 31.752614189233682, \"wind\": 54.002536771242745, \"precipitation\": 98.5871144935895, \"condition\": \"drizzle\"}, {\"temperature\": 3.5475184692079793, \"wind\": 96.91039458765935, \"precipitation\": 50.00054618320339, \"condition\": \"fog\"}]}}, {\"mode\": \"vega-lite\"});\n</script>",
       "text/plain": "alt.Chart(...)"
      },
      "metadata": {},
@@ -658,14 +672,18 @@
    "source": [
     "base = alt.Chart(df)\n",
     "bar = base.mark_bar().encode(\n",
-    "    x=alt.X(field='temperature', \n",
-    "            type='quantitative',\n",
-    "            bin=alt.Bin(maxbins=10),\n",
-    "            scale=alt.Scale(type='linear')),\n",
-    "    y=alt.Y(field='temperature', \n",
-    "            type='quantitative', \n",
-    "            aggregate='count', \n",
-    "            scale=alt.Scale(type='linear', zero=True))\n",
+    "    x=alt.X(\n",
+    "        field=\"temperature\",\n",
+    "        type=\"quantitative\",\n",
+    "        bin=alt.Bin(maxbins=10),\n",
+    "        scale=alt.Scale(type=\"linear\"),\n",
+    "    ),\n",
+    "    y=alt.Y(\n",
+    "        field=\"temperature\",\n",
+    "        type=\"quantitative\",\n",
+    "        aggregate=\"count\",\n",
+    "        scale=alt.Scale(type=\"linear\", zero=True),\n",
+    "    ),\n",
     ")\n",
     "display_chart(bar)"
    ]
@@ -679,7 +697,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 57,
+   "execution_count": 181,
    "metadata": {},
    "outputs": [
     {
@@ -698,35 +716,37 @@
     }
    ],
    "source": [
-    "facts = ['attribute(number_rows,root,100).',\n",
-    " 'entity(field,root,temperature).',\n",
-    " 'attribute((field,name),temperature,temperature).',\n",
-    " 'attribute((field,type),temperature,number).',\n",
-    " 'entity(field,root,wind).',\n",
-    " 'attribute((field,name),wind,wind).',\n",
-    " 'attribute((field,type),wind,number).',\n",
-    " 'entity(view,root,0).',\n",
-    " 'entity(mark,0,1).',\n",
-    " 'attribute((mark,type),1,point).',\n",
-    " 'entity(encoding,1,2).',\n",
-    " 'attribute((encoding,channel),2,x).',\n",
-    " 'attribute((encoding,field),2,temperature).',\n",
-    " 'entity(encoding,1,3).',\n",
-    " 'attribute((encoding,channel),3,y).',\n",
-    " 'attribute((encoding,field),3,wind).',\n",
-    " 'entity(scale,0,4).',\n",
-    " 'attribute((scale,channel),4,x).',\n",
-    " 'attribute((scale,type),4,linear).',\n",
-    " 'entity(scale,0,5).',\n",
-    " 'attribute((scale,channel),5,y).',\n",
-    " 'attribute((scale,type),5,linear).']\n",
+    "facts = [\n",
+    "    \"attribute(number_rows,root,100).\",\n",
+    "    \"entity(field,root,temperature).\",\n",
+    "    \"attribute((field,name),temperature,temperature).\",\n",
+    "    \"attribute((field,type),temperature,number).\",\n",
+    "    \"entity(field,root,wind).\",\n",
+    "    \"attribute((field,name),wind,wind).\",\n",
+    "    \"attribute((field,type),wind,number).\",\n",
+    "    \"entity(view,root,0).\",\n",
+    "    \"entity(mark,0,1).\",\n",
+    "    \"attribute((mark,type),1,point).\",\n",
+    "    \"entity(encoding,1,2).\",\n",
+    "    \"attribute((encoding,channel),2,x).\",\n",
+    "    \"attribute((encoding,field),2,temperature).\",\n",
+    "    \"entity(encoding,1,3).\",\n",
+    "    \"attribute((encoding,channel),3,y).\",\n",
+    "    \"attribute((encoding,field),3,wind).\",\n",
+    "    \"entity(scale,0,4).\",\n",
+    "    \"attribute((scale,channel),4,x).\",\n",
+    "    \"attribute((scale,type),4,linear).\",\n",
+    "    \"entity(scale,0,5).\",\n",
+    "    \"attribute((scale,channel),5,y).\",\n",
+    "    \"attribute((scale,type),5,linear).\",\n",
+    "]\n",
     "spec = facts_to_dict(facts)\n",
     "pprint(spec)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 58,
+   "execution_count": 182,
    "metadata": {},
    "outputs": [
     {
@@ -746,7 +766,7 @@
     },
     {
      "data": {
-      "text/html": "\n<div id=\"altair-viz-c6b7fc4607064079af01d144e5b04f76\"></div>\n<script type=\"text/javascript\">\n  var VEGA_DEBUG = (typeof VEGA_DEBUG == \"undefined\") ? {} : VEGA_DEBUG;\n  (function(spec, embedOpt){\n    let outputDiv = document.currentScript.previousElementSibling;\n    if (outputDiv.id !== \"altair-viz-c6b7fc4607064079af01d144e5b04f76\") {\n      outputDiv = document.getElementById(\"altair-viz-c6b7fc4607064079af01d144e5b04f76\");\n    }\n    const paths = {\n      \"vega\": \"https://cdn.jsdelivr.net/npm//vega@5?noext\",\n      \"vega-lib\": \"https://cdn.jsdelivr.net/npm//vega-lib?noext\",\n      \"vega-lite\": \"https://cdn.jsdelivr.net/npm//vega-lite@4.17.0?noext\",\n      \"vega-embed\": \"https://cdn.jsdelivr.net/npm//vega-embed@6?noext\",\n    };\n\n    function maybeLoadScript(lib, version) {\n      var key = `${lib.replace(\"-\", \"\")}_version`;\n      return (VEGA_DEBUG[key] == version) ?\n        Promise.resolve(paths[lib]) :\n        new Promise(function(resolve, reject) {\n          var s = document.createElement('script');\n          document.getElementsByTagName(\"head\")[0].appendChild(s);\n          s.async = true;\n          s.onload = () => {\n            VEGA_DEBUG[key] = version;\n            return resolve(paths[lib]);\n          };\n          s.onerror = () => reject(`Error loading script: ${paths[lib]}`);\n          s.src = paths[lib];\n        });\n    }\n\n    function showError(err) {\n      outputDiv.innerHTML = `<div class=\"error\" style=\"color:red;\">${err}</div>`;\n      throw err;\n    }\n\n    function displayChart(vegaEmbed) {\n      vegaEmbed(outputDiv, spec, embedOpt)\n        .catch(err => showError(`Javascript Error: ${err.message}<br>This usually means there's a typo in your chart specification. See the javascript console for the full traceback.`));\n    }\n\n    if(typeof define === \"function\" && define.amd) {\n      requirejs.config({paths});\n      require([\"vega-embed\"], displayChart, err => showError(`Error loading script: ${err.message}`));\n    } else {\n      maybeLoadScript(\"vega\", \"5\")\n        .then(() => maybeLoadScript(\"vega-lite\", \"4.17.0\"))\n        .then(() => maybeLoadScript(\"vega-embed\", \"6\"))\n        .catch(showError)\n        .then(() => displayChart(vegaEmbed));\n    }\n  })({\"config\": {\"view\": {\"continuousWidth\": 400, \"continuousHeight\": 300}}, \"data\": {\"name\": \"data-80b0e930866eee6a77413fd6e0890a78\"}, \"mark\": \"point\", \"encoding\": {\"x\": {\"field\": \"temperature\", \"scale\": {\"type\": \"linear\"}, \"type\": \"quantitative\"}, \"y\": {\"field\": \"wind\", \"scale\": {\"type\": \"linear\"}, \"type\": \"quantitative\"}}, \"$schema\": \"https://vega.github.io/schema/vega-lite/v4.17.0.json\", \"datasets\": {\"data-80b0e930866eee6a77413fd6e0890a78\": [{\"temperature\": 39.357871877508494, \"wind\": 11.562263885182233, \"precipitation\": 88.42051387921796, \"condition\": \"fog\"}, {\"temperature\": -5.947154608637572, \"wind\": 86.90701738497849, \"precipitation\": 70.55832915444152, \"condition\": \"rain\"}, {\"temperature\": 32.82765627853655, \"wind\": 97.65897402212389, \"precipitation\": 82.65511533530304, \"condition\": \"sun\"}, {\"temperature\": 17.525999106231197, \"wind\": 65.52797477069528, \"precipitation\": 53.86256526101837, \"condition\": \"snow\"}, {\"temperature\": -6.80882656934652, \"wind\": 37.03429394195952, \"precipitation\": 93.86525481254682, \"condition\": \"drizzle\"}, {\"temperature\": 42.35997285539091, \"wind\": 72.00671240950793, \"precipitation\": 40.6587905336316, \"condition\": \"sun\"}, {\"temperature\": 12.236046428620227, \"wind\": 24.35537864304579, \"precipitation\": 83.89080965364893, \"condition\": \"sun\"}, {\"temperature\": 42.8103257781665, 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82.98059861355699, \"precipitation\": 67.52390799343073, \"condition\": \"drizzle\"}, {\"temperature\": 5.411451095385809, \"wind\": 21.05653192591779, \"precipitation\": 98.10920750481597, \"condition\": \"fog\"}, {\"temperature\": 2.807402352777551, \"wind\": 40.81431754466085, \"precipitation\": 17.10555449196962, \"condition\": \"drizzle\"}, {\"temperature\": 33.60928142306782, \"wind\": 68.86862385408263, \"precipitation\": 1.7511520670655312, \"condition\": \"drizzle\"}, {\"temperature\": -3.7305842295491463, \"wind\": 22.99270590580842, \"precipitation\": 20.45024425044729, \"condition\": \"sun\"}, {\"temperature\": 38.88636288200788, \"wind\": 4.451268770649408, \"precipitation\": 50.18581381273084, \"condition\": \"snow\"}, {\"temperature\": 30.677916880360065, \"wind\": 57.58927095398997, \"precipitation\": 3.882294040985468, \"condition\": \"sun\"}, {\"temperature\": 20.936747003011536, \"wind\": 86.15890903839221, \"precipitation\": 84.64626055952643, \"condition\": \"sun\"}, {\"temperature\": 37.960508459665974, \"wind\": 83.22348385800635, \"precipitation\": 78.09579123477448, \"condition\": \"sun\"}, {\"temperature\": 2.789340992140385, \"wind\": 5.604841844996544, \"precipitation\": 64.23176719571818, \"condition\": \"rain\"}, {\"temperature\": -7.362921707472104, \"wind\": 57.37740217449133, \"precipitation\": 18.499742279296438, \"condition\": \"sun\"}, {\"temperature\": 1.1912189059593281, \"wind\": 46.52929788933954, \"precipitation\": 56.223732701756326, \"condition\": \"rain\"}, {\"temperature\": 5.601287545202137, \"wind\": 10.557820768094484, \"precipitation\": 10.005361911795385, \"condition\": \"sun\"}, {\"temperature\": 38.06145401149945, \"wind\": 40.55588658579815, \"precipitation\": 18.57864165136399, \"condition\": \"rain\"}, {\"temperature\": 10.003338415782952, \"wind\": 0.38143550979561347, \"precipitation\": 3.4323593600883995, \"condition\": \"snow\"}, {\"temperature\": 35.51840784136351, \"wind\": 85.38213169679159, \"precipitation\": 72.28024508142481, \"condition\": \"rain\"}, {\"temperature\": 42.22464006089062, \"wind\": 21.90245982426261, \"precipitation\": 64.4540475166047, \"condition\": \"snow\"}, {\"temperature\": 42.62614276410388, \"wind\": 16.596731146807365, \"precipitation\": 85.31723680641925, \"condition\": \"sun\"}, {\"temperature\": 4.666633193701054, \"wind\": 13.9068281587152, \"precipitation\": 87.48180339020342, \"condition\": \"drizzle\"}, {\"temperature\": 16.15426117162615, \"wind\": 38.00342325742586, \"precipitation\": 47.264072847267016, \"condition\": \"rain\"}, {\"temperature\": 15.032591880472172, \"wind\": 86.42884715473586, \"precipitation\": 81.69554228509587, \"condition\": \"rain\"}, {\"temperature\": 35.19149371217065, \"wind\": 72.5074270480888, \"precipitation\": 22.443215096530544, \"condition\": \"sun\"}, {\"temperature\": 26.84120821812121, \"wind\": 83.91441221303555, \"precipitation\": 63.11915666511897, \"condition\": \"drizzle\"}, {\"temperature\": 34.88005063805122, \"wind\": 45.33004448381994, \"precipitation\": 0.9935886811615613, \"condition\": \"rain\"}, {\"temperature\": 41.376840349386185, \"wind\": 7.544840957817378, \"precipitation\": 54.70235300254609, \"condition\": \"snow\"}, {\"temperature\": 36.960725847409456, \"wind\": 49.46574838149229, \"precipitation\": 85.47567556668297, \"condition\": \"snow\"}, {\"temperature\": 14.586289413415074, \"wind\": 4.489700154671472, \"precipitation\": 10.31362572720238, \"condition\": \"sun\"}, {\"temperature\": 20.04343950622185, \"wind\": 66.32817964057357, \"precipitation\": 74.44590348494177, \"condition\": \"sun\"}, {\"temperature\": 25.469560172224703, \"wind\": 82.06241734640489, \"precipitation\": 61.201009993418275, \"condition\": \"rain\"}, {\"temperature\": 20.070995853722245, \"wind\": 46.445227996549974, \"precipitation\": 53.59556892779981, \"condition\": \"snow\"}, {\"temperature\": 5.685018294722338, \"wind\": 58.17077525039538, \"precipitation\": 31.236078403128474, \"condition\": \"snow\"}, {\"temperature\": 42.487483009401764, \"wind\": 71.08000859923487, \"precipitation\": 61.47201457950021, \"condition\": \"rain\"}, {\"temperature\": -7.079256299328551, \"wind\": 27.004309009604967, \"precipitation\": 19.794263832693815, \"condition\": \"rain\"}, {\"temperature\": -5.045047126960084, \"wind\": 88.93771732732128, \"precipitation\": 99.50453536234512, \"condition\": \"fog\"}, {\"temperature\": 25.4533582484732, \"wind\": 96.38774772376792, \"precipitation\": 69.85460214191481, \"condition\": \"rain\"}, {\"temperature\": 22.955919291252926, \"wind\": 88.48558780603962, \"precipitation\": 40.268588772168876, \"condition\": \"snow\"}, {\"temperature\": 27.507453592914565, \"wind\": 29.838439613656075, \"precipitation\": 27.845875256677367, \"condition\": \"fog\"}, {\"temperature\": -6.870451234225997, \"wind\": 54.90225410574824, \"precipitation\": 29.74026895430255, \"condition\": \"snow\"}, {\"temperature\": 41.66879121402853, \"wind\": 21.388390668516323, \"precipitation\": 23.449697200445573, \"condition\": \"sun\"}, {\"temperature\": 15.838369384298645, \"wind\": 14.553164438107524, \"precipitation\": 78.9078385630916, \"condition\": \"sun\"}, {\"temperature\": 13.794652090601591, \"wind\": 31.915985033787553, \"precipitation\": 65.39000850075058, \"condition\": \"fog\"}, {\"temperature\": -0.24791853446323842, \"wind\": 16.053122209894966, \"precipitation\": 26.219628309452382, \"condition\": \"sun\"}, {\"temperature\": 20.625989859426074, \"wind\": 15.348759697534453, \"precipitation\": 94.2004787208339, \"condition\": \"rain\"}, {\"temperature\": 17.22130558630064, \"wind\": 61.15140884010469, \"precipitation\": 27.79385279217691, \"condition\": \"snow\"}, {\"temperature\": 15.342628921870396, \"wind\": 52.15522860596962, \"precipitation\": 44.258578235337545, \"condition\": \"drizzle\"}, {\"temperature\": 43.28838980732394, \"wind\": 30.617573960681387, \"precipitation\": 90.705784312922, \"condition\": \"drizzle\"}, {\"temperature\": 31.752614189233682, \"wind\": 54.002536771242745, \"precipitation\": 98.5871144935895, \"condition\": \"drizzle\"}, {\"temperature\": 3.5475184692079793, \"wind\": 96.91039458765935, \"precipitation\": 50.00054618320339, \"condition\": \"fog\"}]}}, {\"mode\": \"vega-lite\"});\n</script>",
       "text/plain": "alt.Chart(...)"
      },
      "metadata": {},
@@ -756,12 +776,8 @@
    "source": [
     "base = alt.Chart(df)\n",
     "point = base.mark_point().encode(\n",
-    "    x=alt.X(field='temperature', \n",
-    "            type='quantitative', \n",
-    "            scale=alt.Scale(type='linear')),\n",
-    "    y=alt.Y(field='wind',\n",
-    "            type='quantitative', \n",
-    "            scale=alt.Scale(type='linear')),\n",
+    "    x=alt.X(field=\"temperature\", type=\"quantitative\", scale=alt.Scale(type=\"linear\")),\n",
+    "    y=alt.Y(field=\"wind\", type=\"quantitative\", scale=alt.Scale(type=\"linear\")),\n",
     ")\n",
     "display_chart(point)"
    ]
@@ -775,7 +791,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 59,
+   "execution_count": 183,
    "metadata": {},
    "outputs": [
     {
@@ -797,44 +813,46 @@
     }
    ],
    "source": [
-    "facts = ['attribute(number_rows,root,100).',\n",
-    " 'entity(field,root,temperature).',\n",
-    " 'attribute((field,name),temperature,temperature).',\n",
-    " 'attribute((field,type),temperature,number).',\n",
-    " 'entity(field,root,wind).',\n",
-    " 'attribute((field,name),wind,wind).',\n",
-    " 'attribute((field,type),wind,number).',\n",
-    " 'entity(field,root,condition).',\n",
-    " 'attribute((field,name),condition,condition).',\n",
-    " 'attribute((field,type),condition,string).',\n",
-    " 'entity(view,root,0).',\n",
-    " 'entity(mark,0,1).',\n",
-    " 'attribute((mark,type),1,point).',\n",
-    " 'entity(encoding,1,2).',\n",
-    " 'attribute((encoding,channel),2,x).',\n",
-    " 'attribute((encoding,field),2,temperature).',\n",
-    " 'entity(encoding,1,3).',\n",
-    " 'attribute((encoding,channel),3,y).',\n",
-    " 'attribute((encoding,field),3,wind).',\n",
-    " 'entity(encoding,1,4).',\n",
-    " 'attribute((encoding,channel),4,color).',\n",
-    " 'attribute((encoding,field),4,condition).',\n",
-    " 'entity(scale,0,5).',\n",
-    " 'attribute((scale,channel),5,x).',\n",
-    " 'attribute((scale,type),5,linear).',\n",
-    " 'entity(scale,0,6).',\n",
-    " 'attribute((scale,channel),6,y).',\n",
-    " 'attribute((scale,type),6,linear).',\n",
-    " 'entity(scale,0,7).',\n",
-    " 'attribute((scale,channel),7,color).',\n",
-    " 'attribute((scale,type),7,categorical).']\n",
+    "facts = [\n",
+    "    \"attribute(number_rows,root,100).\",\n",
+    "    \"entity(field,root,temperature).\",\n",
+    "    \"attribute((field,name),temperature,temperature).\",\n",
+    "    \"attribute((field,type),temperature,number).\",\n",
+    "    \"entity(field,root,wind).\",\n",
+    "    \"attribute((field,name),wind,wind).\",\n",
+    "    \"attribute((field,type),wind,number).\",\n",
+    "    \"entity(field,root,condition).\",\n",
+    "    \"attribute((field,name),condition,condition).\",\n",
+    "    \"attribute((field,type),condition,string).\",\n",
+    "    \"entity(view,root,0).\",\n",
+    "    \"entity(mark,0,1).\",\n",
+    "    \"attribute((mark,type),1,point).\",\n",
+    "    \"entity(encoding,1,2).\",\n",
+    "    \"attribute((encoding,channel),2,x).\",\n",
+    "    \"attribute((encoding,field),2,temperature).\",\n",
+    "    \"entity(encoding,1,3).\",\n",
+    "    \"attribute((encoding,channel),3,y).\",\n",
+    "    \"attribute((encoding,field),3,wind).\",\n",
+    "    \"entity(encoding,1,4).\",\n",
+    "    \"attribute((encoding,channel),4,color).\",\n",
+    "    \"attribute((encoding,field),4,condition).\",\n",
+    "    \"entity(scale,0,5).\",\n",
+    "    \"attribute((scale,channel),5,x).\",\n",
+    "    \"attribute((scale,type),5,linear).\",\n",
+    "    \"entity(scale,0,6).\",\n",
+    "    \"attribute((scale,channel),6,y).\",\n",
+    "    \"attribute((scale,type),6,linear).\",\n",
+    "    \"entity(scale,0,7).\",\n",
+    "    \"attribute((scale,channel),7,color).\",\n",
+    "    \"attribute((scale,type),7,categorical).\",\n",
+    "]\n",
     "spec = facts_to_dict(facts)\n",
     "pprint(spec)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 60,
+   "execution_count": 184,
    "metadata": {},
    "outputs": [
     {
@@ -857,7 +875,7 @@
     },
     {
      "data": {
-      "text/html": "\n<div id=\"altair-viz-e59c6e5ea11b460681729b72d427b5b0\"></div>\n<script type=\"text/javascript\">\n  var VEGA_DEBUG = (typeof VEGA_DEBUG == \"undefined\") ? {} : VEGA_DEBUG;\n  (function(spec, embedOpt){\n    let outputDiv = document.currentScript.previousElementSibling;\n    if (outputDiv.id !== \"altair-viz-e59c6e5ea11b460681729b72d427b5b0\") {\n      outputDiv = document.getElementById(\"altair-viz-e59c6e5ea11b460681729b72d427b5b0\");\n    }\n    const paths = {\n      \"vega\": \"https://cdn.jsdelivr.net/npm//vega@5?noext\",\n      \"vega-lib\": \"https://cdn.jsdelivr.net/npm//vega-lib?noext\",\n      \"vega-lite\": \"https://cdn.jsdelivr.net/npm//vega-lite@4.17.0?noext\",\n      \"vega-embed\": \"https://cdn.jsdelivr.net/npm//vega-embed@6?noext\",\n    };\n\n    function maybeLoadScript(lib, version) {\n      var key = `${lib.replace(\"-\", \"\")}_version`;\n      return (VEGA_DEBUG[key] == version) ?\n        Promise.resolve(paths[lib]) :\n        new Promise(function(resolve, reject) {\n          var s = document.createElement('script');\n          document.getElementsByTagName(\"head\")[0].appendChild(s);\n          s.async = true;\n          s.onload = () => {\n            VEGA_DEBUG[key] = version;\n            return resolve(paths[lib]);\n          };\n          s.onerror = () => reject(`Error loading script: ${paths[lib]}`);\n          s.src = paths[lib];\n        });\n    }\n\n    function showError(err) {\n      outputDiv.innerHTML = `<div class=\"error\" style=\"color:red;\">${err}</div>`;\n      throw err;\n    }\n\n    function displayChart(vegaEmbed) {\n      vegaEmbed(outputDiv, spec, embedOpt)\n        .catch(err => showError(`Javascript Error: ${err.message}<br>This usually means there's a typo in your chart specification. See the javascript console for the full traceback.`));\n    }\n\n    if(typeof define === \"function\" && define.amd) {\n      requirejs.config({paths});\n      require([\"vega-embed\"], displayChart, err => showError(`Error loading script: ${err.message}`));\n    } else {\n      maybeLoadScript(\"vega\", \"5\")\n        .then(() => maybeLoadScript(\"vega-lite\", \"4.17.0\"))\n        .then(() => maybeLoadScript(\"vega-embed\", \"6\"))\n        .catch(showError)\n        .then(() => displayChart(vegaEmbed));\n    }\n  })({\"config\": {\"view\": {\"continuousWidth\": 400, \"continuousHeight\": 300}}, \"data\": {\"name\": \"data-80b0e930866eee6a77413fd6e0890a78\"}, \"mark\": \"point\", \"encoding\": {\"color\": {\"field\": \"condition\", \"scale\": {\"type\": \"ordinal\"}, \"type\": \"nominal\"}, \"x\": {\"field\": \"temperature\", \"scale\": {\"type\": \"linear\"}, \"type\": \"quantitative\"}, \"y\": {\"field\": \"wind\", \"scale\": {\"type\": \"linear\"}, \"type\": \"quantitative\"}}, \"$schema\": \"https://vega.github.io/schema/vega-lite/v4.17.0.json\", \"datasets\": {\"data-80b0e930866eee6a77413fd6e0890a78\": [{\"temperature\": 39.357871877508494, \"wind\": 11.562263885182233, \"precipitation\": 88.42051387921796, \"condition\": \"fog\"}, {\"temperature\": -5.947154608637572, \"wind\": 86.90701738497849, \"precipitation\": 70.55832915444152, \"condition\": \"rain\"}, {\"temperature\": 32.82765627853655, \"wind\": 97.65897402212389, \"precipitation\": 82.65511533530304, \"condition\": \"sun\"}, {\"temperature\": 17.525999106231197, \"wind\": 65.52797477069528, \"precipitation\": 53.86256526101837, \"condition\": \"snow\"}, {\"temperature\": -6.80882656934652, \"wind\": 37.03429394195952, \"precipitation\": 93.86525481254682, \"condition\": \"drizzle\"}, {\"temperature\": 42.35997285539091, \"wind\": 72.00671240950793, \"precipitation\": 40.6587905336316, \"condition\": \"sun\"}, {\"temperature\": 12.236046428620227, \"wind\": 24.35537864304579, \"precipitation\": 83.89080965364893, \"condition\": \"sun\"}, {\"temperature\": 42.8103257781665, \"wind\": 29.81101459268268, \"precipitation\": 71.55020159752638, \"condition\": \"sun\"}, {\"temperature\": 22.54392113778252, \"wind\": 96.88264927669367, \"precipitation\": 57.21207145158276, \"condition\": \"rain\"}, {\"temperature\": 22.503608231529917, \"wind\": 73.45718441223443, \"precipitation\": 18.48099480479052, \"condition\": \"fog\"}, {\"temperature\": 20.697023061259923, \"wind\": 78.8085781529467, \"precipitation\": 82.06153728611223, \"condition\": \"drizzle\"}, {\"temperature\": 25.290109397291054, \"wind\": 80.30649374788099, \"precipitation\": 22.36608661432985, \"condition\": \"sun\"}, {\"temperature\": 38.2799313550365, \"wind\": 67.47085587574028, \"precipitation\": 20.740111999310816, \"condition\": \"snow\"}, {\"temperature\": 3.6725463468113624, \"wind\": 1.0115541087158841, \"precipitation\": 18.15771285571497, \"condition\": \"fog\"}, {\"temperature\": 43.05607594953013, \"wind\": 60.68482719845524, \"precipitation\": 57.77089873340201, \"condition\": \"drizzle\"}, {\"temperature\": 32.26702695541979, \"wind\": 51.25287908408247, \"precipitation\": 82.37499650298116, \"condition\": \"sun\"}, {\"temperature\": 20.65470025342109, \"wind\": 17.357994382399223, \"precipitation\": 61.85803419037972, \"condition\": \"snow\"}, {\"temperature\": 7.591958649416281, \"wind\": 56.87567133218157, \"precipitation\": 63.83705679953054, \"condition\": \"drizzle\"}, {\"temperature\": 34.12588295742098, \"wind\": 53.49706318356736, \"precipitation\": 39.89871505509641, \"condition\": \"drizzle\"}, {\"temperature\": 43.35047614485006, \"wind\": 25.611854852857896, \"precipitation\": 80.36992353488051, \"condition\": \"sun\"}, {\"temperature\": -0.6670916465821719, \"wind\": 85.48944217634627, \"precipitation\": 74.19603252504737, \"condition\": \"fog\"}, {\"temperature\": 27.71533514546813, \"wind\": 92.40258299219964, \"precipitation\": 35.46329445299181, \"condition\": \"sun\"}, {\"temperature\": 42.990310063528334, \"wind\": 4.767210553938305, \"precipitation\": 78.84896594785124, \"condition\": \"drizzle\"}, {\"temperature\": 12.78024257419457, \"wind\": 70.42789298007587, \"precipitation\": 32.19857853159736, \"condition\": \"rain\"}, {\"temperature\": 12.345464511586698, \"wind\": 96.37504245663669, \"precipitation\": 58.32326475918834, \"condition\": \"drizzle\"}, {\"temperature\": 16.615985139736694, \"wind\": 79.42654814203834, \"precipitation\": 13.002687080260278, \"condition\": \"drizzle\"}, {\"temperature\": 37.42489242698708, \"wind\": 61.345695045120095, \"precipitation\": 43.77564041090408, \"condition\": \"rain\"}, {\"temperature\": 4.4803758908315565, \"wind\": 49.77522034422004, \"precipitation\": 50.69600709811043, \"condition\": \"drizzle\"}, {\"temperature\": 24.097652039323982, \"wind\": 8.979384326640405, \"precipitation\": 30.641954593528485, \"condition\": \"sun\"}, {\"temperature\": -5.322217743871135, \"wind\": 61.189346843944705, \"precipitation\": 31.593229557269186, \"condition\": \"snow\"}, {\"temperature\": 9.656575236136984, \"wind\": 2.1373906951494104, \"precipitation\": 57.5465193225844, \"condition\": \"rain\"}, {\"temperature\": 23.09003214094531, \"wind\": 16.8504340533028, \"precipitation\": 49.38199137777561, \"condition\": \"snow\"}, {\"temperature\": -0.8910674950475652, \"wind\": 67.4372389241753, \"precipitation\": 44.01373586297284, \"condition\": \"drizzle\"}, {\"temperature\": 38.77628981797657, \"wind\": 19.349109733319814, \"precipitation\": 18.478064234157422, \"condition\": \"snow\"}, {\"temperature\": 3.4205075380082093, \"wind\": 27.407919047755026, \"precipitation\": 32.84745237938085, \"condition\": \"fog\"}, {\"temperature\": -5.033320662096024, \"wind\": 94.25698462447689, \"precipitation\": 43.460229120490254, \"condition\": \"fog\"}, {\"temperature\": -9.971237977814939, \"wind\": 93.98073112476098, \"precipitation\": 74.78247080628827, 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53.59556892779981, \"condition\": \"snow\"}, {\"temperature\": 5.685018294722338, \"wind\": 58.17077525039538, \"precipitation\": 31.236078403128474, \"condition\": \"snow\"}, {\"temperature\": 42.487483009401764, \"wind\": 71.08000859923487, \"precipitation\": 61.47201457950021, \"condition\": \"rain\"}, {\"temperature\": -7.079256299328551, \"wind\": 27.004309009604967, \"precipitation\": 19.794263832693815, \"condition\": \"rain\"}, {\"temperature\": -5.045047126960084, \"wind\": 88.93771732732128, \"precipitation\": 99.50453536234512, \"condition\": \"fog\"}, {\"temperature\": 25.4533582484732, \"wind\": 96.38774772376792, \"precipitation\": 69.85460214191481, \"condition\": \"rain\"}, {\"temperature\": 22.955919291252926, \"wind\": 88.48558780603962, \"precipitation\": 40.268588772168876, \"condition\": \"snow\"}, {\"temperature\": 27.507453592914565, \"wind\": 29.838439613656075, \"precipitation\": 27.845875256677367, \"condition\": \"fog\"}, {\"temperature\": -6.870451234225997, \"wind\": 54.90225410574824, \"precipitation\": 29.74026895430255, \"condition\": \"snow\"}, {\"temperature\": 41.66879121402853, \"wind\": 21.388390668516323, \"precipitation\": 23.449697200445573, \"condition\": \"sun\"}, {\"temperature\": 15.838369384298645, \"wind\": 14.553164438107524, \"precipitation\": 78.9078385630916, \"condition\": \"sun\"}, {\"temperature\": 13.794652090601591, \"wind\": 31.915985033787553, \"precipitation\": 65.39000850075058, \"condition\": \"fog\"}, {\"temperature\": -0.24791853446323842, \"wind\": 16.053122209894966, \"precipitation\": 26.219628309452382, \"condition\": \"sun\"}, {\"temperature\": 20.625989859426074, \"wind\": 15.348759697534453, \"precipitation\": 94.2004787208339, \"condition\": \"rain\"}, {\"temperature\": 17.22130558630064, \"wind\": 61.15140884010469, \"precipitation\": 27.79385279217691, \"condition\": \"snow\"}, {\"temperature\": 15.342628921870396, \"wind\": 52.15522860596962, \"precipitation\": 44.258578235337545, \"condition\": \"drizzle\"}, {\"temperature\": 43.28838980732394, \"wind\": 30.617573960681387, \"precipitation\": 90.705784312922, \"condition\": \"drizzle\"}, {\"temperature\": 31.752614189233682, \"wind\": 54.002536771242745, \"precipitation\": 98.5871144935895, \"condition\": \"drizzle\"}, {\"temperature\": 3.5475184692079793, \"wind\": 96.91039458765935, \"precipitation\": 50.00054618320339, \"condition\": \"fog\"}]}}, {\"mode\": \"vega-lite\"});\n</script>",
       "text/plain": "alt.Chart(...)"
      },
      "metadata": {},
@@ -867,22 +885,16 @@
    "source": [
     "base = alt.Chart(df)\n",
     "point = base.mark_point().encode(\n",
-    "    x=alt.X(field='temperature', \n",
-    "            type='quantitative', \n",
-    "            scale=alt.Scale(type='linear')),\n",
-    "    y=alt.Y(field='wind',\n",
-    "            type='quantitative', \n",
-    "            scale=alt.Scale(type='linear')),\n",
-    "    color=alt.Color(field='condition',\n",
-    "                    type='nominal',\n",
-    "                    scale=alt.Scale(type='ordinal'))\n",
+    "    x=alt.X(field=\"temperature\", type=\"quantitative\", scale=alt.Scale(type=\"linear\")),\n",
+    "    y=alt.Y(field=\"wind\", type=\"quantitative\", scale=alt.Scale(type=\"linear\")),\n",
+    "    color=alt.Color(field=\"condition\", type=\"nominal\", scale=alt.Scale(type=\"ordinal\")),\n",
     ")\n",
     "display_chart(point)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 61,
+   "execution_count": 185,
    "metadata": {},
    "outputs": [
     {
@@ -905,37 +917,39 @@
     }
    ],
    "source": [
-    "facts = ['attribute(number_rows,root,100).',\n",
-    " 'entity(field,root,temperature).',\n",
-    " 'attribute((field,name),temperature,temperature).',\n",
-    " 'attribute((field,type),temperature,number).',\n",
-    " 'entity(field,root,wind).',\n",
-    " 'attribute((field,name),wind,wind).',\n",
-    " 'attribute((field,type),wind,number).',\n",
-    " 'entity(field,root,precipitation).',\n",
-    " 'attribute((field,name),precipitation,precipitation).',\n",
-    " 'attribute((field,type),precipitation,number).',\n",
-    " 'entity(view,root,0).',\n",
-    " 'entity(mark,0,1).',\n",
-    " 'attribute((mark,type),1,point).',\n",
-    " 'entity(encoding,1,2).',\n",
-    " 'attribute((encoding,channel),2,x).',\n",
-    " 'attribute((encoding,field),2,temperature).',\n",
-    " 'entity(encoding,1,3).',\n",
-    " 'attribute((encoding,channel),3,y).',\n",
-    " 'attribute((encoding,field),3,wind).',\n",
-    " 'entity(encoding,1,4).',\n",
-    " 'attribute((encoding,channel),4,size).',\n",
-    " 'attribute((encoding,field),4,precipitation).',\n",
-    " 'entity(scale,0,5).',\n",
-    " 'attribute((scale,channel),5,x).',\n",
-    " 'attribute((scale,type),5,linear).',\n",
-    " 'entity(scale,0,6).',\n",
-    " 'attribute((scale,channel),6,y).',\n",
-    " 'attribute((scale,type),6,linear).',\n",
-    " 'entity(scale,0,7).',\n",
-    " 'attribute((scale,channel),7,size).',\n",
-    " 'attribute((scale,type),7,linear).']\n",
+    "facts = [\n",
+    "    \"attribute(number_rows,root,100).\",\n",
+    "    \"entity(field,root,temperature).\",\n",
+    "    \"attribute((field,name),temperature,temperature).\",\n",
+    "    \"attribute((field,type),temperature,number).\",\n",
+    "    \"entity(field,root,wind).\",\n",
+    "    \"attribute((field,name),wind,wind).\",\n",
+    "    \"attribute((field,type),wind,number).\",\n",
+    "    \"entity(field,root,precipitation).\",\n",
+    "    \"attribute((field,name),precipitation,precipitation).\",\n",
+    "    \"attribute((field,type),precipitation,number).\",\n",
+    "    \"entity(view,root,0).\",\n",
+    "    \"entity(mark,0,1).\",\n",
+    "    \"attribute((mark,type),1,point).\",\n",
+    "    \"entity(encoding,1,2).\",\n",
+    "    \"attribute((encoding,channel),2,x).\",\n",
+    "    \"attribute((encoding,field),2,temperature).\",\n",
+    "    \"entity(encoding,1,3).\",\n",
+    "    \"attribute((encoding,channel),3,y).\",\n",
+    "    \"attribute((encoding,field),3,wind).\",\n",
+    "    \"entity(encoding,1,4).\",\n",
+    "    \"attribute((encoding,channel),4,size).\",\n",
+    "    \"attribute((encoding,field),4,precipitation).\",\n",
+    "    \"entity(scale,0,5).\",\n",
+    "    \"attribute((scale,channel),5,x).\",\n",
+    "    \"attribute((scale,type),5,linear).\",\n",
+    "    \"entity(scale,0,6).\",\n",
+    "    \"attribute((scale,channel),6,y).\",\n",
+    "    \"attribute((scale,type),6,linear).\",\n",
+    "    \"entity(scale,0,7).\",\n",
+    "    \"attribute((scale,channel),7,size).\",\n",
+    "    \"attribute((scale,type),7,linear).\",\n",
+    "]\n",
     "spec = facts_to_dict(facts)\n",
     "pprint(spec)"
    ]
@@ -949,7 +963,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 62,
+   "execution_count": 186,
    "metadata": {},
    "outputs": [
     {
@@ -972,7 +986,7 @@
     },
     {
      "data": {
-      "text/html": "\n<div id=\"altair-viz-452f1286f1944847831a7391de135d16\"></div>\n<script type=\"text/javascript\">\n  var VEGA_DEBUG = (typeof VEGA_DEBUG == \"undefined\") ? {} : VEGA_DEBUG;\n  (function(spec, embedOpt){\n    let outputDiv = document.currentScript.previousElementSibling;\n    if (outputDiv.id !== \"altair-viz-452f1286f1944847831a7391de135d16\") {\n      outputDiv = document.getElementById(\"altair-viz-452f1286f1944847831a7391de135d16\");\n    }\n    const paths = {\n      \"vega\": \"https://cdn.jsdelivr.net/npm//vega@5?noext\",\n      \"vega-lib\": \"https://cdn.jsdelivr.net/npm//vega-lib?noext\",\n      \"vega-lite\": \"https://cdn.jsdelivr.net/npm//vega-lite@4.17.0?noext\",\n      \"vega-embed\": \"https://cdn.jsdelivr.net/npm//vega-embed@6?noext\",\n    };\n\n    function maybeLoadScript(lib, version) {\n      var key = `${lib.replace(\"-\", \"\")}_version`;\n      return (VEGA_DEBUG[key] == version) ?\n        Promise.resolve(paths[lib]) :\n        new Promise(function(resolve, reject) {\n          var s = document.createElement('script');\n          document.getElementsByTagName(\"head\")[0].appendChild(s);\n          s.async = true;\n          s.onload = () => {\n            VEGA_DEBUG[key] = version;\n            return resolve(paths[lib]);\n          };\n          s.onerror = () => reject(`Error loading script: ${paths[lib]}`);\n          s.src = paths[lib];\n        });\n    }\n\n    function showError(err) {\n      outputDiv.innerHTML = `<div class=\"error\" style=\"color:red;\">${err}</div>`;\n      throw err;\n    }\n\n    function displayChart(vegaEmbed) {\n      vegaEmbed(outputDiv, spec, embedOpt)\n        .catch(err => showError(`Javascript Error: ${err.message}<br>This usually means there's a typo in your chart specification. See the javascript console for the full traceback.`));\n    }\n\n    if(typeof define === \"function\" && define.amd) {\n      requirejs.config({paths});\n      require([\"vega-embed\"], displayChart, err => showError(`Error loading script: ${err.message}`));\n    } else {\n      maybeLoadScript(\"vega\", \"5\")\n        .then(() => maybeLoadScript(\"vega-lite\", \"4.17.0\"))\n        .then(() => maybeLoadScript(\"vega-embed\", \"6\"))\n        .catch(showError)\n        .then(() => displayChart(vegaEmbed));\n    }\n  })({\"config\": {\"view\": {\"continuousWidth\": 400, \"continuousHeight\": 300}}, \"data\": {\"name\": \"data-80b0e930866eee6a77413fd6e0890a78\"}, \"mark\": \"point\", \"encoding\": {\"size\": {\"field\": \"precipitation\", \"scale\": {\"type\": \"linear\"}, \"type\": \"quantitative\"}, \"x\": {\"field\": \"temperature\", \"scale\": {\"type\": \"linear\"}, \"type\": \"quantitative\"}, \"y\": {\"field\": \"wind\", \"scale\": {\"type\": \"linear\"}, \"type\": \"quantitative\"}}, \"$schema\": \"https://vega.github.io/schema/vega-lite/v4.17.0.json\", \"datasets\": {\"data-80b0e930866eee6a77413fd6e0890a78\": [{\"temperature\": 39.357871877508494, \"wind\": 11.562263885182233, \"precipitation\": 88.42051387921796, \"condition\": \"fog\"}, {\"temperature\": -5.947154608637572, \"wind\": 86.90701738497849, \"precipitation\": 70.55832915444152, \"condition\": \"rain\"}, {\"temperature\": 32.82765627853655, \"wind\": 97.65897402212389, \"precipitation\": 82.65511533530304, \"condition\": \"sun\"}, {\"temperature\": 17.525999106231197, \"wind\": 65.52797477069528, \"precipitation\": 53.86256526101837, \"condition\": \"snow\"}, {\"temperature\": -6.80882656934652, \"wind\": 37.03429394195952, \"precipitation\": 93.86525481254682, \"condition\": \"drizzle\"}, {\"temperature\": 42.35997285539091, \"wind\": 72.00671240950793, \"precipitation\": 40.6587905336316, \"condition\": \"sun\"}, {\"temperature\": 12.236046428620227, \"wind\": 24.35537864304579, \"precipitation\": 83.89080965364893, \"condition\": \"sun\"}, {\"temperature\": 42.8103257781665, \"wind\": 29.81101459268268, \"precipitation\": 71.55020159752638, \"condition\": \"sun\"}, {\"temperature\": 22.54392113778252, \"wind\": 96.88264927669367, \"precipitation\": 57.21207145158276, \"condition\": \"rain\"}, {\"temperature\": 22.503608231529917, \"wind\": 73.45718441223443, \"precipitation\": 18.48099480479052, \"condition\": \"fog\"}, {\"temperature\": 20.697023061259923, \"wind\": 78.8085781529467, \"precipitation\": 82.06153728611223, \"condition\": \"drizzle\"}, {\"temperature\": 25.290109397291054, \"wind\": 80.30649374788099, \"precipitation\": 22.36608661432985, \"condition\": \"sun\"}, {\"temperature\": 38.2799313550365, \"wind\": 67.47085587574028, \"precipitation\": 20.740111999310816, \"condition\": \"snow\"}, {\"temperature\": 3.6725463468113624, \"wind\": 1.0115541087158841, \"precipitation\": 18.15771285571497, \"condition\": \"fog\"}, {\"temperature\": 43.05607594953013, \"wind\": 60.68482719845524, \"precipitation\": 57.77089873340201, \"condition\": \"drizzle\"}, {\"temperature\": 32.26702695541979, \"wind\": 51.25287908408247, \"precipitation\": 82.37499650298116, \"condition\": \"sun\"}, {\"temperature\": 20.65470025342109, \"wind\": 17.357994382399223, \"precipitation\": 61.85803419037972, \"condition\": \"snow\"}, {\"temperature\": 7.591958649416281, \"wind\": 56.87567133218157, \"precipitation\": 63.83705679953054, \"condition\": \"drizzle\"}, {\"temperature\": 34.12588295742098, \"wind\": 53.49706318356736, \"precipitation\": 39.89871505509641, \"condition\": \"drizzle\"}, {\"temperature\": 43.35047614485006, \"wind\": 25.611854852857896, \"precipitation\": 80.36992353488051, \"condition\": \"sun\"}, {\"temperature\": -0.6670916465821719, \"wind\": 85.48944217634627, \"precipitation\": 74.19603252504737, \"condition\": \"fog\"}, {\"temperature\": 27.71533514546813, \"wind\": 92.40258299219964, \"precipitation\": 35.46329445299181, \"condition\": \"sun\"}, {\"temperature\": 42.990310063528334, \"wind\": 4.767210553938305, \"precipitation\": 78.84896594785124, \"condition\": \"drizzle\"}, {\"temperature\": 12.78024257419457, \"wind\": 70.42789298007587, \"precipitation\": 32.19857853159736, \"condition\": \"rain\"}, {\"temperature\": 12.345464511586698, \"wind\": 96.37504245663669, \"precipitation\": 58.32326475918834, \"condition\": \"drizzle\"}, {\"temperature\": 16.615985139736694, \"wind\": 79.42654814203834, \"precipitation\": 13.002687080260278, \"condition\": \"drizzle\"}, {\"temperature\": 37.42489242698708, \"wind\": 61.345695045120095, \"precipitation\": 43.77564041090408, \"condition\": \"rain\"}, {\"temperature\": 4.4803758908315565, \"wind\": 49.77522034422004, \"precipitation\": 50.69600709811043, \"condition\": \"drizzle\"}, {\"temperature\": 24.097652039323982, \"wind\": 8.979384326640405, \"precipitation\": 30.641954593528485, \"condition\": \"sun\"}, {\"temperature\": -5.322217743871135, \"wind\": 61.189346843944705, \"precipitation\": 31.593229557269186, \"condition\": \"snow\"}, {\"temperature\": 9.656575236136984, \"wind\": 2.1373906951494104, \"precipitation\": 57.5465193225844, \"condition\": \"rain\"}, {\"temperature\": 23.09003214094531, \"wind\": 16.8504340533028, \"precipitation\": 49.38199137777561, \"condition\": \"snow\"}, {\"temperature\": -0.8910674950475652, \"wind\": 67.4372389241753, \"precipitation\": 44.01373586297284, \"condition\": \"drizzle\"}, {\"temperature\": 38.77628981797657, \"wind\": 19.349109733319814, \"precipitation\": 18.478064234157422, \"condition\": \"snow\"}, {\"temperature\": 3.4205075380082093, \"wind\": 27.407919047755026, \"precipitation\": 32.84745237938085, \"condition\": \"fog\"}, {\"temperature\": -5.033320662096024, \"wind\": 94.25698462447689, \"precipitation\": 43.460229120490254, \"condition\": \"fog\"}, {\"temperature\": -9.971237977814939, \"wind\": 93.98073112476098, \"precipitation\": 74.78247080628827, \"condition\": \"sun\"}, {\"temperature\": 14.882883965973484, \"wind\": 24.785612027523594, \"precipitation\": 51.19773747140527, \"condition\": \"drizzle\"}, {\"temperature\": 14.018034425277474, \"wind\": 91.62717881393021, \"precipitation\": 99.49522416477019, \"condition\": \"sun\"}, {\"temperature\": 31.305982604448104, \"wind\": 40.90373869893349, \"precipitation\": 74.89298496286528, \"condition\": \"rain\"}, {\"temperature\": 30.610723278623702, \"wind\": 42.06017669565571, \"precipitation\": 69.67703870061514, \"condition\": \"snow\"}, {\"temperature\": 34.74664418075527, \"wind\": 38.58462817605697, \"precipitation\": 67.82787083848606, \"condition\": \"sun\"}, {\"temperature\": 8.120514857460222, \"wind\": 98.79896637292207, \"precipitation\": 21.126567495900296, \"condition\": \"drizzle\"}, {\"temperature\": 21.830015183550092, \"wind\": 22.1211872838582, \"precipitation\": 79.23266981302642, \"condition\": \"fog\"}, {\"temperature\": 37.98236222048335, \"wind\": 3.9308035344873593, \"precipitation\": 14.592671850934291, \"condition\": \"rain\"}, {\"temperature\": 25.958872120055887, \"wind\": 30.880613774748145, \"precipitation\": 81.56963648865039, \"condition\": \"rain\"}, {\"temperature\": 35.17236224867325, \"wind\": 31.08177020391971, \"precipitation\": 24.18647666653794, \"condition\": \"rain\"}, {\"temperature\": 33.364342578760876, \"wind\": 2.9246595809319653, \"precipitation\": 12.15848602978733, \"condition\": \"fog\"}, {\"temperature\": -3.5902835942627487, \"wind\": 86.99227504041556, \"precipitation\": 2.3639517923128017, \"condition\": \"drizzle\"}, {\"temperature\": 43.53091004081406, \"wind\": 70.60869224087214, \"precipitation\": 66.94726954818158, \"condition\": \"rain\"}, {\"temperature\": 1.8337888199719252, \"wind\": 75.06866321814911, \"precipitation\": 53.6891397098117, \"condition\": \"sun\"}, {\"temperature\": 43.47830583880354, \"wind\": 71.68689230524836, \"precipitation\": 31.73117090776013, \"condition\": \"sun\"}, {\"temperature\": 24.70816388894937, \"wind\": 68.30107169120795, \"precipitation\": 20.50225020747416, \"condition\": \"snow\"}, {\"temperature\": 16.05118379980134, \"wind\": 52.99782792799144, \"precipitation\": 11.69028728553364, \"condition\": \"fog\"}, {\"temperature\": 28.077076050276126, \"wind\": 24.843732657120764, \"precipitation\": 7.7565838958533195, \"condition\": \"fog\"}, {\"temperature\": 26.313211105376084, \"wind\": 45.03333651941402, \"precipitation\": 31.41227095201218, \"condition\": \"fog\"}, {\"temperature\": 25.47932407524442, \"wind\": 87.21604759710651, \"precipitation\": 13.96847689136137, \"condition\": \"snow\"}, {\"temperature\": 11.036706749946731, \"wind\": 33.86229598446234, \"precipitation\": 38.968294579117845, \"condition\": \"rain\"}, {\"temperature\": 0.8142265953456, \"wind\": 70.98507415296346, \"precipitation\": 19.273374312321256, \"condition\": \"drizzle\"}, {\"temperature\": 25.391354725358426, \"wind\": 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\"drizzle\"}, {\"temperature\": 43.28838980732394, \"wind\": 30.617573960681387, \"precipitation\": 90.705784312922, \"condition\": \"drizzle\"}, {\"temperature\": 31.752614189233682, \"wind\": 54.002536771242745, \"precipitation\": 98.5871144935895, \"condition\": \"drizzle\"}, {\"temperature\": 3.5475184692079793, \"wind\": 96.91039458765935, \"precipitation\": 50.00054618320339, \"condition\": \"fog\"}]}}, {\"mode\": \"vega-lite\"});\n</script>",
       "text/plain": "alt.Chart(...)"
      },
      "metadata": {},
@@ -982,15 +996,11 @@
    "source": [
     "base = alt.Chart(df)\n",
     "point = base.mark_point().encode(\n",
-    "    x=alt.X(field='temperature', \n",
-    "            type='quantitative', \n",
-    "            scale=alt.Scale(type='linear')),\n",
-    "    y=alt.Y(field='wind',\n",
-    "            type='quantitative', \n",
-    "            scale=alt.Scale(type='linear')),\n",
-    "    size=alt.Size(field='precipitation', \n",
-    "                  type='quantitative', \n",
-    "                  scale=alt.Scale(type='linear')),\n",
+    "    x=alt.X(field=\"temperature\", type=\"quantitative\", scale=alt.Scale(type=\"linear\")),\n",
+    "    y=alt.Y(field=\"wind\", type=\"quantitative\", scale=alt.Scale(type=\"linear\")),\n",
+    "    size=alt.Size(\n",
+    "        field=\"precipitation\", type=\"quantitative\", scale=alt.Scale(type=\"linear\")\n",
+    "    ),\n",
     ")\n",
     "display_chart(point)"
    ]
@@ -1011,7 +1021,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 63,
+   "execution_count": 187,
    "metadata": {},
    "outputs": [
     {
@@ -1033,38 +1043,40 @@
     }
    ],
    "source": [
-    "facts = ['attribute(number_rows,root,100).',\n",
-    " 'entity(field,root,temperature).',\n",
-    " 'attribute((field,name),temperature,temperature).',\n",
-    " 'attribute((field,type),temperature,number).',\n",
-    " 'entity(field,root,condition).',\n",
-    " 'attribute((field,name),condition,condition).',\n",
-    " 'attribute((field,type),condition,string).',\n",
-    " 'entity(view,root,0).',\n",
-    " 'attribute((view,coordinates),0,polar).',\n",
-    " 'entity(mark,0,1).',\n",
-    " 'attribute((mark,type),1,bar).',\n",
-    " 'entity(encoding,1,2).',\n",
-    " 'attribute((encoding,channel),2,y).',\n",
-    " 'attribute((encoding,aggregate),2,count).',\n",
-    " 'attribute((encoding,stack),2,zero).',\n",
-    " 'entity(encoding,1,3).',\n",
-    " 'attribute((encoding,channel),3,color).',\n",
-    " 'attribute((encoding,field),3,condition).',\n",
-    " 'entity(scale,0,4).',\n",
-    " 'attribute((scale,channel),4,y).',\n",
-    " 'attribute((scale,type),4,linear).',\n",
-    " 'attribute((scale,zero),4,true).',\n",
-    " 'entity(scale,0,5).',\n",
-    " 'attribute((scale,channel),5,color).',\n",
-    " 'attribute((scale,type),5,categorical).']\n",
+    "facts = [\n",
+    "    \"attribute(number_rows,root,100).\",\n",
+    "    \"entity(field,root,temperature).\",\n",
+    "    \"attribute((field,name),temperature,temperature).\",\n",
+    "    \"attribute((field,type),temperature,number).\",\n",
+    "    \"entity(field,root,condition).\",\n",
+    "    \"attribute((field,name),condition,condition).\",\n",
+    "    \"attribute((field,type),condition,string).\",\n",
+    "    \"entity(view,root,0).\",\n",
+    "    \"attribute((view,coordinates),0,polar).\",\n",
+    "    \"entity(mark,0,1).\",\n",
+    "    \"attribute((mark,type),1,bar).\",\n",
+    "    \"entity(encoding,1,2).\",\n",
+    "    \"attribute((encoding,channel),2,y).\",\n",
+    "    \"attribute((encoding,aggregate),2,count).\",\n",
+    "    \"attribute((encoding,stack),2,zero).\",\n",
+    "    \"entity(encoding,1,3).\",\n",
+    "    \"attribute((encoding,channel),3,color).\",\n",
+    "    \"attribute((encoding,field),3,condition).\",\n",
+    "    \"entity(scale,0,4).\",\n",
+    "    \"attribute((scale,channel),4,y).\",\n",
+    "    \"attribute((scale,type),4,linear).\",\n",
+    "    \"attribute((scale,zero),4,true).\",\n",
+    "    \"entity(scale,0,5).\",\n",
+    "    \"attribute((scale,channel),5,color).\",\n",
+    "    \"attribute((scale,type),5,categorical).\",\n",
+    "]\n",
     "spec = facts_to_dict(facts)\n",
     "pprint(spec)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 64,
+   "execution_count": 188,
    "metadata": {},
    "outputs": [
     {
@@ -1086,7 +1098,7 @@
     },
     {
      "data": {
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+      "text/html": "\n<div id=\"altair-viz-921eb2f507f545cc97f581e31a3c5293\"></div>\n<script type=\"text/javascript\">\n  var VEGA_DEBUG = (typeof VEGA_DEBUG == \"undefined\") ? {} : VEGA_DEBUG;\n  (function(spec, embedOpt){\n    let outputDiv = document.currentScript.previousElementSibling;\n    if (outputDiv.id !== \"altair-viz-921eb2f507f545cc97f581e31a3c5293\") {\n      outputDiv = document.getElementById(\"altair-viz-921eb2f507f545cc97f581e31a3c5293\");\n    }\n    const paths = {\n      \"vega\": \"https://cdn.jsdelivr.net/npm//vega@5?noext\",\n      \"vega-lib\": \"https://cdn.jsdelivr.net/npm//vega-lib?noext\",\n      \"vega-lite\": \"https://cdn.jsdelivr.net/npm//vega-lite@4.17.0?noext\",\n      \"vega-embed\": \"https://cdn.jsdelivr.net/npm//vega-embed@6?noext\",\n    };\n\n    function maybeLoadScript(lib, version) {\n      var key = `${lib.replace(\"-\", \"\")}_version`;\n      return (VEGA_DEBUG[key] == version) ?\n        Promise.resolve(paths[lib]) :\n        new Promise(function(resolve, reject) {\n          var s = document.createElement('script');\n          document.getElementsByTagName(\"head\")[0].appendChild(s);\n          s.async = true;\n          s.onload = () => {\n            VEGA_DEBUG[key] = version;\n            return resolve(paths[lib]);\n          };\n          s.onerror = () => reject(`Error loading script: ${paths[lib]}`);\n          s.src = paths[lib];\n        });\n    }\n\n    function showError(err) {\n      outputDiv.innerHTML = `<div class=\"error\" style=\"color:red;\">${err}</div>`;\n      throw err;\n    }\n\n    function displayChart(vegaEmbed) {\n      vegaEmbed(outputDiv, spec, embedOpt)\n        .catch(err => showError(`Javascript Error: ${err.message}<br>This usually means there's a typo in your chart specification. See the javascript console for the full traceback.`));\n    }\n\n    if(typeof define === \"function\" && define.amd) {\n      requirejs.config({paths});\n      require([\"vega-embed\"], displayChart, err => showError(`Error loading script: ${err.message}`));\n    } else {\n      maybeLoadScript(\"vega\", \"5\")\n        .then(() => maybeLoadScript(\"vega-lite\", \"4.17.0\"))\n        .then(() => maybeLoadScript(\"vega-embed\", \"6\"))\n        .catch(showError)\n        .then(() => displayChart(vegaEmbed));\n    }\n  })({\"config\": {\"view\": {\"continuousWidth\": 400, \"continuousHeight\": 300}}, \"data\": {\"name\": \"data-62648c40dc40a84dcc0ff734b69b013d\"}, \"mark\": \"arc\", \"encoding\": {\"color\": {\"field\": \"condition\", \"scale\": {\"type\": \"ordinal\"}, \"type\": \"nominal\"}, \"theta\": {\"aggregate\": \"count\", \"field\": \"temperature\", \"scale\": {\"type\": \"linear\", \"zero\": true}, \"stack\": \"zero\", \"type\": \"quantitative\"}}, \"$schema\": \"https://vega.github.io/schema/vega-lite/v4.17.0.json\", \"datasets\": {\"data-62648c40dc40a84dcc0ff734b69b013d\": [{\"temperature\": 15.949648750822519, \"wind\": 44.064474882832506, \"precipitation\": 39.57102111167698, \"condition\": \"sun\"}, {\"temperature\": 35.80410298761198, \"wind\": 57.347114406626844, \"precipitation\": 51.104157124186436, \"condition\": \"snow\"}, {\"temperature\": 34.39048786822457, \"wind\": 96.36048231593197, \"precipitation\": 40.96980376900311, \"condition\": \"drizzle\"}, {\"temperature\": 7.204885708939138, \"wind\": 25.146399378672125, \"precipitation\": 85.49017897658906, \"condition\": \"drizzle\"}, {\"temperature\": 19.55284015712061, \"wind\": 57.88396140686759, \"precipitation\": 73.6976786812617, \"condition\": \"sun\"}, {\"temperature\": 40.95867840323979, \"wind\": 18.240723526069058, \"precipitation\": 12.344374169099414, \"condition\": \"drizzle\"}, {\"temperature\": 8.037410652418316, \"wind\": 34.85524928680391, \"precipitation\": 47.39721336761291, \"condition\": \"drizzle\"}, {\"temperature\": -0.9238346314127046, \"wind\": 38.27888770381765, \"precipitation\": 49.084327395470694, \"condition\": \"snow\"}, {\"temperature\": 5.432162476529914, \"wind\": 26.375774021896824, \"precipitation\": 11.84973364714308, \"condition\": \"fog\"}, {\"temperature\": -0.5233284049906253, \"wind\": 20.341299498563536, \"precipitation\": 17.599397407184547, \"condition\": \"rain\"}, {\"temperature\": -0.32120652264539906, \"wind\": 56.70670804712174, \"precipitation\": 27.900390497052797, \"condition\": \"snow\"}, {\"temperature\": -5.8172209322540835, \"wind\": 7.922327363206739, \"precipitation\": 58.97450879694346, \"condition\": \"sun\"}, {\"temperature\": 29.348029927183475, \"wind\": 42.36486641293023, \"precipitation\": 52.297851298205714, \"condition\": \"snow\"}, {\"temperature\": -3.170224211296139, \"wind\": 25.422063817654927, \"precipitation\": 75.95709912967573, \"condition\": \"sun\"}, {\"temperature\": 29.762058145832015, \"wind\": 60.50785926641081, \"precipitation\": 27.63426836016134, \"condition\": \"sun\"}, {\"temperature\": -2.4226248703646167, \"wind\": 71.82451957436714, \"precipitation\": 27.866577679535155, \"condition\": \"rain\"}, {\"temperature\": 27.72342502276807, \"wind\": 25.495165547172526, \"precipitation\": 56.952472897674525, \"condition\": \"rain\"}, {\"temperature\": 42.86155275131322, \"wind\": 64.07798840013274, \"precipitation\": 43.20732916361416, \"condition\": \"drizzle\"}, {\"temperature\": 17.672356545916294, \"wind\": 69.76681823406481, \"precipitation\": 4.878513449934685, \"condition\": \"snow\"}, {\"temperature\": 14.10656929258668, \"wind\": 57.176270850584096, \"precipitation\": 22.99874996214144, \"condition\": \"sun\"}, {\"temperature\": 13.738975343826219, \"wind\": 47.92233289336022, \"precipitation\": 14.35681797090771, \"condition\": \"drizzle\"}, {\"temperature\": 38.54857944378019, \"wind\": 71.3951998928714, \"precipitation\": 47.86763119099666, \"condition\": \"rain\"}, {\"temperature\": 35.41541728844566, \"wind\": 15.372466094026361, \"precipitation\": 10.140892669165568, \"condition\": \"drizzle\"}, {\"temperature\": 42.8109485726051, \"wind\": 19.292730074798236, \"precipitation\": 83.72184051359054, \"condition\": \"sun\"}, {\"temperature\": 5.541837860134734, \"wind\": 37.91528502390926, \"precipitation\": 1.806095907348293, \"condition\": \"rain\"}, {\"temperature\": 31.26072818540954, \"wind\": 25.613046818128893, \"precipitation\": 93.99993502991724, \"condition\": \"snow\"}, {\"temperature\": 12.652262480706526, \"wind\": 19.716955298970042, \"precipitation\": 4.277209571833773, \"condition\": \"snow\"}, {\"temperature\": 27.464734441100425, \"wind\": 18.45750848171699, \"precipitation\": 14.862245845341137, \"condition\": \"snow\"}, {\"temperature\": 39.17194283180486, \"wind\": 62.584966101983305, \"precipitation\": 61.90806088367137, \"condition\": \"drizzle\"}, {\"temperature\": 20.57556038458332, \"wind\": 6.979458445589614, \"precipitation\": 26.20161503090155, \"condition\": \"fog\"}, {\"temperature\": 43.4376707328582, \"wind\": 91.72880025636312, \"precipitation\": 49.92669754392897, \"condition\": \"rain\"}, {\"temperature\": 37.392448305959796, \"wind\": 37.3453361137289, \"precipitation\": 79.01145543700821, \"condition\": \"rain\"}, {\"temperature\": -0.9740355983502056, \"wind\": 52.36556373635527, \"precipitation\": 30.452338583138562, \"condition\": \"fog\"}, {\"temperature\": 32.483093158374864, \"wind\": 88.0719315131664, \"precipitation\": 79.80325870322564, \"condition\": \"drizzle\"}, {\"temperature\": 35.06833977125789, \"wind\": 20.182255224013822, \"precipitation\": 68.32831560054159, \"condition\": \"drizzle\"}, {\"temperature\": 30.648689765220006, \"wind\": 70.20845647358497, \"precipitation\": 14.839756419615913, \"condition\": \"fog\"}, {\"temperature\": 17.568761783892697, \"wind\": 23.56533394038428, \"precipitation\": 33.43028312709272, \"condition\": \"fog\"}, {\"temperature\": 37.668328098899124, \"wind\": 25.752457285889363, \"precipitation\": 22.16206318576326, \"condition\": \"fog\"}, {\"temperature\": 5.014064033030415, \"wind\": 35.85304116185546, \"precipitation\": 50.430635606761776, \"condition\": \"drizzle\"}, {\"temperature\": 0.07199515030012726, \"wind\": 2.3037918503235444, \"precipitation\": 43.68655656674591, \"condition\": \"snow\"}, {\"temperature\": 5.954592424892175, \"wind\": 97.51084981729826, \"precipitation\": 18.937945167300562, \"condition\": \"fog\"}, {\"temperature\": 30.328519543203832, \"wind\": 11.124122490003696, \"precipitation\": 16.09587268986017, \"condition\": \"rain\"}, {\"temperature\": 14.46236976140856, \"wind\": 51.39244007969178, \"precipitation\": 51.52316459464377, \"condition\": \"fog\"}, {\"temperature\": 9.396286885496181, \"wind\": 14.413632366424933, \"precipitation\": 58.34025135533383, \"condition\": \"drizzle\"}, {\"temperature\": -7.883075294840844, \"wind\": 98.24018815877206, \"precipitation\": 51.405831276908884, \"condition\": \"snow\"}, {\"temperature\": 36.853296493232534, \"wind\": 17.44230067062308, \"precipitation\": 55.91312117168676, \"condition\": \"drizzle\"}, {\"temperature\": -9.582596783874624, \"wind\": 23.835535427130438, \"precipitation\": 61.605688998244446, \"condition\": \"fog\"}, {\"temperature\": -9.419128745924892, \"wind\": 53.25395558360789, \"precipitation\": 78.4515605013817, \"condition\": \"sun\"}, {\"temperature\": 4.571583314676532, \"wind\": 9.068613866100073, \"precipitation\": 42.448264608376526, \"condition\": \"rain\"}, {\"temperature\": 6.6203336157740615, \"wind\": 35.87691221835703, \"precipitation\": 64.98980696659649, \"condition\": \"rain\"}, {\"temperature\": 20.627672555392106, \"wind\": 28.946823430475742, \"precipitation\": 14.301584887467733, \"condition\": \"rain\"}, {\"temperature\": -9.583736731217567, \"wind\": 83.64814422156614, \"precipitation\": 35.873227198260004, \"condition\": \"snow\"}, {\"temperature\": 11.018260277272166, \"wind\": 82.98059861355699, \"precipitation\": 67.52390799343073, \"condition\": \"drizzle\"}, {\"temperature\": 5.411451095385809, \"wind\": 21.05653192591779, \"precipitation\": 98.10920750481597, \"condition\": \"fog\"}, {\"temperature\": 2.807402352777551, \"wind\": 40.81431754466085, \"precipitation\": 17.10555449196962, \"condition\": \"drizzle\"}, {\"temperature\": 33.60928142306782, \"wind\": 68.86862385408263, \"precipitation\": 1.7511520670655312, \"condition\": \"drizzle\"}, {\"temperature\": -3.7305842295491463, \"wind\": 22.99270590580842, \"precipitation\": 20.45024425044729, \"condition\": \"sun\"}, {\"temperature\": 38.88636288200788, \"wind\": 4.451268770649408, \"precipitation\": 50.18581381273084, \"condition\": \"snow\"}, {\"temperature\": 30.677916880360065, \"wind\": 57.58927095398997, \"precipitation\": 3.882294040985468, \"condition\": \"sun\"}, {\"temperature\": 20.936747003011536, \"wind\": 86.15890903839221, \"precipitation\": 84.64626055952643, \"condition\": \"sun\"}, {\"temperature\": 37.960508459665974, \"wind\": 83.22348385800635, \"precipitation\": 78.09579123477448, \"condition\": \"sun\"}, {\"temperature\": 2.789340992140385, \"wind\": 5.604841844996544, \"precipitation\": 64.23176719571818, \"condition\": \"rain\"}, {\"temperature\": -7.362921707472104, \"wind\": 57.37740217449133, \"precipitation\": 18.499742279296438, \"condition\": \"sun\"}, {\"temperature\": 1.1912189059593281, \"wind\": 46.52929788933954, \"precipitation\": 56.223732701756326, \"condition\": \"rain\"}, {\"temperature\": 5.601287545202137, \"wind\": 10.557820768094484, \"precipitation\": 10.005361911795385, \"condition\": \"sun\"}, {\"temperature\": 38.06145401149945, \"wind\": 40.55588658579815, \"precipitation\": 18.57864165136399, \"condition\": \"rain\"}, {\"temperature\": 10.003338415782952, \"wind\": 0.38143550979561347, \"precipitation\": 3.4323593600883995, \"condition\": \"snow\"}, {\"temperature\": 35.51840784136351, \"wind\": 85.38213169679159, \"precipitation\": 72.28024508142481, \"condition\": \"rain\"}, {\"temperature\": 42.22464006089062, \"wind\": 21.90245982426261, \"precipitation\": 64.4540475166047, \"condition\": \"snow\"}, {\"temperature\": 42.62614276410388, \"wind\": 16.596731146807365, \"precipitation\": 85.31723680641925, \"condition\": \"sun\"}, {\"temperature\": 4.666633193701054, \"wind\": 13.9068281587152, \"precipitation\": 87.48180339020342, \"condition\": \"drizzle\"}, {\"temperature\": 16.15426117162615, \"wind\": 38.00342325742586, \"precipitation\": 47.264072847267016, \"condition\": \"rain\"}, {\"temperature\": 15.032591880472172, \"wind\": 86.42884715473586, \"precipitation\": 81.69554228509587, \"condition\": \"rain\"}, {\"temperature\": 35.19149371217065, \"wind\": 72.5074270480888, \"precipitation\": 22.443215096530544, \"condition\": \"sun\"}, {\"temperature\": 26.84120821812121, \"wind\": 83.91441221303555, \"precipitation\": 63.11915666511897, \"condition\": \"drizzle\"}, {\"temperature\": 34.88005063805122, \"wind\": 45.33004448381994, \"precipitation\": 0.9935886811615613, \"condition\": \"rain\"}, {\"temperature\": 41.376840349386185, \"wind\": 7.544840957817378, \"precipitation\": 54.70235300254609, \"condition\": \"snow\"}, {\"temperature\": 36.960725847409456, \"wind\": 49.46574838149229, \"precipitation\": 85.47567556668297, \"condition\": \"snow\"}, {\"temperature\": 14.586289413415074, \"wind\": 4.489700154671472, \"precipitation\": 10.31362572720238, \"condition\": \"sun\"}, {\"temperature\": 20.04343950622185, \"wind\": 66.32817964057357, \"precipitation\": 74.44590348494177, \"condition\": \"sun\"}, {\"temperature\": 25.469560172224703, \"wind\": 82.06241734640489, \"precipitation\": 61.201009993418275, \"condition\": \"rain\"}, {\"temperature\": 20.070995853722245, \"wind\": 46.445227996549974, \"precipitation\": 53.59556892779981, \"condition\": \"snow\"}, {\"temperature\": 5.685018294722338, \"wind\": 58.17077525039538, \"precipitation\": 31.236078403128474, \"condition\": \"snow\"}, {\"temperature\": 42.487483009401764, \"wind\": 71.08000859923487, \"precipitation\": 61.47201457950021, \"condition\": \"rain\"}, {\"temperature\": -7.079256299328551, \"wind\": 27.004309009604967, \"precipitation\": 19.794263832693815, \"condition\": \"rain\"}, {\"temperature\": -5.045047126960084, \"wind\": 88.93771732732128, \"precipitation\": 99.50453536234512, \"condition\": \"fog\"}, {\"temperature\": 25.4533582484732, \"wind\": 96.38774772376792, \"precipitation\": 69.85460214191481, \"condition\": \"rain\"}, {\"temperature\": 22.955919291252926, \"wind\": 88.48558780603962, \"precipitation\": 40.268588772168876, \"condition\": \"snow\"}, {\"temperature\": 27.507453592914565, \"wind\": 29.838439613656075, \"precipitation\": 27.845875256677367, \"condition\": \"fog\"}, {\"temperature\": -6.870451234225997, \"wind\": 54.90225410574824, \"precipitation\": 29.74026895430255, \"condition\": \"snow\"}, {\"temperature\": 41.66879121402853, \"wind\": 21.388390668516323, \"precipitation\": 23.449697200445573, \"condition\": \"sun\"}, {\"temperature\": 15.838369384298645, \"wind\": 14.553164438107524, \"precipitation\": 78.9078385630916, \"condition\": \"sun\"}, {\"temperature\": 13.794652090601591, \"wind\": 31.915985033787553, \"precipitation\": 65.39000850075058, \"condition\": \"fog\"}, {\"temperature\": -0.24791853446323842, \"wind\": 16.053122209894966, \"precipitation\": 26.219628309452382, \"condition\": \"sun\"}, {\"temperature\": 20.625989859426074, \"wind\": 15.348759697534453, \"precipitation\": 94.2004787208339, \"condition\": \"rain\"}, {\"temperature\": 17.22130558630064, \"wind\": 61.15140884010469, \"precipitation\": 27.79385279217691, \"condition\": \"snow\"}, {\"temperature\": 15.342628921870396, \"wind\": 52.15522860596962, \"precipitation\": 44.258578235337545, \"condition\": \"drizzle\"}, {\"temperature\": 43.28838980732394, \"wind\": 30.617573960681387, \"precipitation\": 90.705784312922, \"condition\": \"drizzle\"}, {\"temperature\": 31.752614189233682, \"wind\": 54.002536771242745, \"precipitation\": 98.5871144935895, \"condition\": \"drizzle\"}, {\"temperature\": 3.5475184692079793, \"wind\": 96.91039458765935, \"precipitation\": 50.00054618320339, \"condition\": \"fog\"}]}}, {\"mode\": \"vega-lite\"});\n</script>",
       "text/plain": "alt.Chart(...)"
      },
      "metadata": {},
@@ -1096,14 +1108,14 @@
    "source": [
     "base = alt.Chart(df)\n",
     "arc = base.mark_arc().encode(\n",
-    "    theta=alt.Theta(field='temperature', \n",
-    "                    type='quantitative', \n",
-    "                    aggregate='count',\n",
-    "                    stack='zero',\n",
-    "                    scale=alt.Scale(type='linear', zero=True)),\n",
-    "    color=alt.Color(field='condition', \n",
-    "                    type='nominal',\n",
-    "                    scale=alt.Scale(type='ordinal')),\n",
+    "    theta=alt.Theta(\n",
+    "        field=\"temperature\",\n",
+    "        type=\"quantitative\",\n",
+    "        aggregate=\"count\",\n",
+    "        stack=\"zero\",\n",
+    "        scale=alt.Scale(type=\"linear\", zero=True),\n",
+    "    ),\n",
+    "    color=alt.Color(field=\"condition\", type=\"nominal\", scale=alt.Scale(type=\"ordinal\")),\n",
     ")\n",
     "display_chart(arc)"
    ]
@@ -1117,7 +1129,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 65,
+   "execution_count": 189,
    "metadata": {},
    "outputs": [
     {
@@ -1142,44 +1154,46 @@
     }
    ],
    "source": [
-    "facts = ['attribute(number_rows,root,100).',\n",
-    " 'entity(field,root,temperature).',\n",
-    " 'attribute((field,name),temperature,temperature).',\n",
-    " 'attribute((field,type),temperature,number).',\n",
-    " 'entity(field,root,condition).',\n",
-    " 'attribute((field,name),condition,condition).',\n",
-    " 'attribute((field,type),condition,string).',\n",
-    " 'entity(view,root,0).',\n",
-    " 'entity(mark,0,1).',\n",
-    " 'attribute((mark,type),1,bar).',\n",
-    " 'entity(encoding,1,2).',\n",
-    " 'attribute((encoding,channel),2,x).',\n",
-    " 'attribute((encoding,field),2,temperature).',\n",
-    " 'attribute((encoding,binning),2,10).',\n",
-    " 'entity(encoding,1,3).',\n",
-    " 'attribute((encoding,channel),3,y).',\n",
-    " 'attribute((encoding,aggregate),3,count).',\n",
-    " 'attribute((encoding,stack),3,zero).',\n",
-    " 'entity(encoding,1,4).',\n",
-    " 'attribute((encoding,channel),4,color).',\n",
-    " 'attribute((encoding,field),4,condition).',\n",
-    " 'entity(scale,0,5).',\n",
-    " 'attribute((scale,channel),5,x).',\n",
-    " 'attribute((scale,type),5,linear).',\n",
-    " 'entity(scale,0,6).',\n",
-    " 'attribute((scale,channel),6,y).',\n",
-    " 'attribute((scale,type),6,linear).',\n",
-    " 'attribute((scale,zero),6,true).',\n",
-    " 'entity(scale,0,7).',\n",
-    " 'attribute((scale,channel),7,color).',\n",
-    " 'attribute((scale,type),7,categorical).']\n",
+    "facts = [\n",
+    "    \"attribute(number_rows,root,100).\",\n",
+    "    \"entity(field,root,temperature).\",\n",
+    "    \"attribute((field,name),temperature,temperature).\",\n",
+    "    \"attribute((field,type),temperature,number).\",\n",
+    "    \"entity(field,root,condition).\",\n",
+    "    \"attribute((field,name),condition,condition).\",\n",
+    "    \"attribute((field,type),condition,string).\",\n",
+    "    \"entity(view,root,0).\",\n",
+    "    \"entity(mark,0,1).\",\n",
+    "    \"attribute((mark,type),1,bar).\",\n",
+    "    \"entity(encoding,1,2).\",\n",
+    "    \"attribute((encoding,channel),2,x).\",\n",
+    "    \"attribute((encoding,field),2,temperature).\",\n",
+    "    \"attribute((encoding,binning),2,10).\",\n",
+    "    \"entity(encoding,1,3).\",\n",
+    "    \"attribute((encoding,channel),3,y).\",\n",
+    "    \"attribute((encoding,aggregate),3,count).\",\n",
+    "    \"attribute((encoding,stack),3,zero).\",\n",
+    "    \"entity(encoding,1,4).\",\n",
+    "    \"attribute((encoding,channel),4,color).\",\n",
+    "    \"attribute((encoding,field),4,condition).\",\n",
+    "    \"entity(scale,0,5).\",\n",
+    "    \"attribute((scale,channel),5,x).\",\n",
+    "    \"attribute((scale,type),5,linear).\",\n",
+    "    \"entity(scale,0,6).\",\n",
+    "    \"attribute((scale,channel),6,y).\",\n",
+    "    \"attribute((scale,type),6,linear).\",\n",
+    "    \"attribute((scale,zero),6,true).\",\n",
+    "    \"entity(scale,0,7).\",\n",
+    "    \"attribute((scale,channel),7,color).\",\n",
+    "    \"attribute((scale,type),7,categorical).\",\n",
+    "]\n",
     "spec = facts_to_dict(facts)\n",
     "pprint(spec)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 66,
+   "execution_count": 190,
    "metadata": {},
    "outputs": [
     {
@@ -1203,7 +1217,7 @@
     },
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      "data": {
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{\"temperature\": 38.54857944378019, \"wind\": 71.3951998928714, \"precipitation\": 47.86763119099666, \"condition\": \"rain\"}, {\"temperature\": 35.41541728844566, \"wind\": 15.372466094026361, \"precipitation\": 10.140892669165568, \"condition\": \"drizzle\"}, {\"temperature\": 42.8109485726051, \"wind\": 19.292730074798236, \"precipitation\": 83.72184051359054, \"condition\": \"sun\"}, {\"temperature\": 5.541837860134734, \"wind\": 37.91528502390926, \"precipitation\": 1.806095907348293, \"condition\": \"rain\"}, {\"temperature\": 31.26072818540954, \"wind\": 25.613046818128893, \"precipitation\": 93.99993502991724, \"condition\": \"snow\"}, {\"temperature\": 12.652262480706526, \"wind\": 19.716955298970042, \"precipitation\": 4.277209571833773, \"condition\": \"snow\"}, {\"temperature\": 27.464734441100425, \"wind\": 18.45750848171699, \"precipitation\": 14.862245845341137, \"condition\": \"snow\"}, {\"temperature\": 39.17194283180486, \"wind\": 62.584966101983305, \"precipitation\": 61.90806088367137, \"condition\": \"drizzle\"}, {\"temperature\": 20.57556038458332, \"wind\": 6.979458445589614, \"precipitation\": 26.20161503090155, \"condition\": \"fog\"}, {\"temperature\": 43.4376707328582, \"wind\": 91.72880025636312, \"precipitation\": 49.92669754392897, \"condition\": \"rain\"}, {\"temperature\": 37.392448305959796, \"wind\": 37.3453361137289, \"precipitation\": 79.01145543700821, \"condition\": \"rain\"}, {\"temperature\": -0.9740355983502056, \"wind\": 52.36556373635527, \"precipitation\": 30.452338583138562, \"condition\": \"fog\"}, {\"temperature\": 32.483093158374864, \"wind\": 88.0719315131664, \"precipitation\": 79.80325870322564, \"condition\": \"drizzle\"}, {\"temperature\": 35.06833977125789, \"wind\": 20.182255224013822, \"precipitation\": 68.32831560054159, \"condition\": \"drizzle\"}, {\"temperature\": 30.648689765220006, \"wind\": 70.20845647358497, \"precipitation\": 14.839756419615913, \"condition\": \"fog\"}, {\"temperature\": 17.568761783892697, \"wind\": 23.56533394038428, \"precipitation\": 33.43028312709272, \"condition\": \"fog\"}, {\"temperature\": 37.668328098899124, \"wind\": 25.752457285889363, \"precipitation\": 22.16206318576326, \"condition\": \"fog\"}, {\"temperature\": 5.014064033030415, \"wind\": 35.85304116185546, \"precipitation\": 50.430635606761776, \"condition\": \"drizzle\"}, {\"temperature\": 0.07199515030012726, \"wind\": 2.3037918503235444, \"precipitation\": 43.68655656674591, \"condition\": \"snow\"}, {\"temperature\": 5.954592424892175, \"wind\": 97.51084981729826, \"precipitation\": 18.937945167300562, \"condition\": \"fog\"}, {\"temperature\": 30.328519543203832, \"wind\": 11.124122490003696, \"precipitation\": 16.09587268986017, \"condition\": \"rain\"}, {\"temperature\": 14.46236976140856, \"wind\": 51.39244007969178, \"precipitation\": 51.52316459464377, \"condition\": \"fog\"}, {\"temperature\": 9.396286885496181, \"wind\": 14.413632366424933, \"precipitation\": 58.34025135533383, \"condition\": \"drizzle\"}, {\"temperature\": -7.883075294840844, \"wind\": 98.24018815877206, \"precipitation\": 51.405831276908884, \"condition\": \"snow\"}, {\"temperature\": 36.853296493232534, \"wind\": 17.44230067062308, \"precipitation\": 55.91312117168676, \"condition\": \"drizzle\"}, {\"temperature\": -9.582596783874624, \"wind\": 23.835535427130438, \"precipitation\": 61.605688998244446, \"condition\": \"fog\"}, {\"temperature\": -9.419128745924892, \"wind\": 53.25395558360789, \"precipitation\": 78.4515605013817, \"condition\": \"sun\"}, {\"temperature\": 4.571583314676532, \"wind\": 9.068613866100073, \"precipitation\": 42.448264608376526, \"condition\": \"rain\"}, {\"temperature\": 6.6203336157740615, \"wind\": 35.87691221835703, \"precipitation\": 64.98980696659649, \"condition\": \"rain\"}, {\"temperature\": 20.627672555392106, \"wind\": 28.946823430475742, \"precipitation\": 14.301584887467733, \"condition\": \"rain\"}, {\"temperature\": -9.583736731217567, \"wind\": 83.64814422156614, \"precipitation\": 35.873227198260004, \"condition\": \"snow\"}, {\"temperature\": 11.018260277272166, \"wind\": 82.98059861355699, \"precipitation\": 67.52390799343073, \"condition\": \"drizzle\"}, {\"temperature\": 5.411451095385809, \"wind\": 21.05653192591779, \"precipitation\": 98.10920750481597, \"condition\": \"fog\"}, {\"temperature\": 2.807402352777551, \"wind\": 40.81431754466085, \"precipitation\": 17.10555449196962, \"condition\": \"drizzle\"}, {\"temperature\": 33.60928142306782, \"wind\": 68.86862385408263, \"precipitation\": 1.7511520670655312, \"condition\": \"drizzle\"}, {\"temperature\": -3.7305842295491463, \"wind\": 22.99270590580842, \"precipitation\": 20.45024425044729, \"condition\": \"sun\"}, {\"temperature\": 38.88636288200788, \"wind\": 4.451268770649408, \"precipitation\": 50.18581381273084, \"condition\": \"snow\"}, {\"temperature\": 30.677916880360065, \"wind\": 57.58927095398997, \"precipitation\": 3.882294040985468, \"condition\": \"sun\"}, {\"temperature\": 20.936747003011536, \"wind\": 86.15890903839221, \"precipitation\": 84.64626055952643, \"condition\": \"sun\"}, {\"temperature\": 37.960508459665974, \"wind\": 83.22348385800635, \"precipitation\": 78.09579123477448, \"condition\": \"sun\"}, {\"temperature\": 2.789340992140385, \"wind\": 5.604841844996544, \"precipitation\": 64.23176719571818, \"condition\": \"rain\"}, {\"temperature\": -7.362921707472104, \"wind\": 57.37740217449133, \"precipitation\": 18.499742279296438, \"condition\": \"sun\"}, {\"temperature\": 1.1912189059593281, \"wind\": 46.52929788933954, \"precipitation\": 56.223732701756326, \"condition\": \"rain\"}, {\"temperature\": 5.601287545202137, \"wind\": 10.557820768094484, \"precipitation\": 10.005361911795385, \"condition\": \"sun\"}, {\"temperature\": 38.06145401149945, \"wind\": 40.55588658579815, \"precipitation\": 18.57864165136399, \"condition\": \"rain\"}, {\"temperature\": 10.003338415782952, \"wind\": 0.38143550979561347, \"precipitation\": 3.4323593600883995, \"condition\": \"snow\"}, {\"temperature\": 35.51840784136351, \"wind\": 85.38213169679159, \"precipitation\": 72.28024508142481, \"condition\": \"rain\"}, {\"temperature\": 42.22464006089062, \"wind\": 21.90245982426261, \"precipitation\": 64.4540475166047, \"condition\": \"snow\"}, {\"temperature\": 42.62614276410388, \"wind\": 16.596731146807365, \"precipitation\": 85.31723680641925, \"condition\": \"sun\"}, {\"temperature\": 4.666633193701054, \"wind\": 13.9068281587152, \"precipitation\": 87.48180339020342, \"condition\": \"drizzle\"}, {\"temperature\": 16.15426117162615, \"wind\": 38.00342325742586, \"precipitation\": 47.264072847267016, \"condition\": \"rain\"}, {\"temperature\": 15.032591880472172, \"wind\": 86.42884715473586, \"precipitation\": 81.69554228509587, \"condition\": \"rain\"}, {\"temperature\": 35.19149371217065, \"wind\": 72.5074270480888, \"precipitation\": 22.443215096530544, \"condition\": \"sun\"}, {\"temperature\": 26.84120821812121, \"wind\": 83.91441221303555, \"precipitation\": 63.11915666511897, \"condition\": \"drizzle\"}, {\"temperature\": 34.88005063805122, \"wind\": 45.33004448381994, \"precipitation\": 0.9935886811615613, \"condition\": \"rain\"}, {\"temperature\": 41.376840349386185, \"wind\": 7.544840957817378, \"precipitation\": 54.70235300254609, \"condition\": \"snow\"}, {\"temperature\": 36.960725847409456, \"wind\": 49.46574838149229, \"precipitation\": 85.47567556668297, \"condition\": \"snow\"}, {\"temperature\": 14.586289413415074, \"wind\": 4.489700154671472, \"precipitation\": 10.31362572720238, \"condition\": \"sun\"}, {\"temperature\": 20.04343950622185, \"wind\": 66.32817964057357, \"precipitation\": 74.44590348494177, \"condition\": \"sun\"}, {\"temperature\": 25.469560172224703, \"wind\": 82.06241734640489, \"precipitation\": 61.201009993418275, \"condition\": \"rain\"}, {\"temperature\": 20.070995853722245, \"wind\": 46.445227996549974, \"precipitation\": 53.59556892779981, \"condition\": \"snow\"}, {\"temperature\": 5.685018294722338, \"wind\": 58.17077525039538, \"precipitation\": 31.236078403128474, \"condition\": \"snow\"}, {\"temperature\": 42.487483009401764, \"wind\": 71.08000859923487, \"precipitation\": 61.47201457950021, \"condition\": \"rain\"}, {\"temperature\": -7.079256299328551, \"wind\": 27.004309009604967, \"precipitation\": 19.794263832693815, \"condition\": \"rain\"}, {\"temperature\": -5.045047126960084, \"wind\": 88.93771732732128, \"precipitation\": 99.50453536234512, \"condition\": \"fog\"}, {\"temperature\": 25.4533582484732, \"wind\": 96.38774772376792, \"precipitation\": 69.85460214191481, \"condition\": \"rain\"}, {\"temperature\": 22.955919291252926, \"wind\": 88.48558780603962, \"precipitation\": 40.268588772168876, \"condition\": \"snow\"}, {\"temperature\": 27.507453592914565, \"wind\": 29.838439613656075, \"precipitation\": 27.845875256677367, \"condition\": \"fog\"}, {\"temperature\": -6.870451234225997, \"wind\": 54.90225410574824, \"precipitation\": 29.74026895430255, \"condition\": \"snow\"}, {\"temperature\": 41.66879121402853, \"wind\": 21.388390668516323, \"precipitation\": 23.449697200445573, \"condition\": \"sun\"}, {\"temperature\": 15.838369384298645, \"wind\": 14.553164438107524, \"precipitation\": 78.9078385630916, \"condition\": \"sun\"}, {\"temperature\": 13.794652090601591, \"wind\": 31.915985033787553, \"precipitation\": 65.39000850075058, \"condition\": \"fog\"}, {\"temperature\": -0.24791853446323842, \"wind\": 16.053122209894966, \"precipitation\": 26.219628309452382, \"condition\": \"sun\"}, {\"temperature\": 20.625989859426074, \"wind\": 15.348759697534453, \"precipitation\": 94.2004787208339, \"condition\": \"rain\"}, {\"temperature\": 17.22130558630064, \"wind\": 61.15140884010469, \"precipitation\": 27.79385279217691, \"condition\": \"snow\"}, {\"temperature\": 15.342628921870396, \"wind\": 52.15522860596962, \"precipitation\": 44.258578235337545, \"condition\": \"drizzle\"}, {\"temperature\": 43.28838980732394, \"wind\": 30.617573960681387, \"precipitation\": 90.705784312922, \"condition\": \"drizzle\"}, {\"temperature\": 31.752614189233682, \"wind\": 54.002536771242745, \"precipitation\": 98.5871144935895, \"condition\": \"drizzle\"}, {\"temperature\": 3.5475184692079793, \"wind\": 96.91039458765935, \"precipitation\": 50.00054618320339, \"condition\": \"fog\"}]}}, {\"mode\": \"vega-lite\"});\n</script>",
       "text/plain": "alt.Chart(...)"
      },
      "metadata": {},
@@ -1213,16 +1227,20 @@
    "source": [
     "base = alt.Chart(df)\n",
     "bar = base.mark_bar().encode(\n",
-    "    x=alt.X(field='temperature', \n",
-    "            type='quantitative',\n",
-    "            bin=alt.Bin(maxbins=10),\n",
-    "            scale=alt.Scale(type='linear')),\n",
-    "    y=alt.Y(field='temperature', \n",
-    "            type='quantitative', \n",
-    "            aggregate='count',\n",
-    "            stack='zero',\n",
-    "            scale=alt.Scale(type='linear', zero=True)),\n",
-    "    color=alt.Color(field='condition', type='nominal')\n",
+    "    x=alt.X(\n",
+    "        field=\"temperature\",\n",
+    "        type=\"quantitative\",\n",
+    "        bin=alt.Bin(maxbins=10),\n",
+    "        scale=alt.Scale(type=\"linear\"),\n",
+    "    ),\n",
+    "    y=alt.Y(\n",
+    "        field=\"temperature\",\n",
+    "        type=\"quantitative\",\n",
+    "        aggregate=\"count\",\n",
+    "        stack=\"zero\",\n",
+    "        scale=alt.Scale(type=\"linear\", zero=True),\n",
+    "    ),\n",
+    "    color=alt.Color(field=\"condition\", type=\"nominal\"),\n",
     ")\n",
     "display_chart(bar)"
    ]
@@ -1236,7 +1254,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 67,
+   "execution_count": 191,
    "metadata": {},
    "outputs": [
     {
@@ -1261,44 +1279,46 @@
     }
    ],
    "source": [
-    "facts = ['attribute(number_rows,root,100).',\n",
-    " 'entity(field,root,temperature).',\n",
-    " 'attribute((field,name),temperature,temperature).',\n",
-    " 'attribute((field,type),temperature,number).',\n",
-    " 'entity(field,root,condition).',\n",
-    " 'attribute((field,name),condition,condition).',\n",
-    " 'attribute((field,type),condition,string).',\n",
-    " 'entity(view,root,0).',\n",
-    " 'entity(mark,0,1).',\n",
-    " 'attribute((mark,type),1,bar).',\n",
-    " 'entity(encoding,1,2).',\n",
-    " 'attribute((encoding,channel),2,x).',\n",
-    " 'attribute((encoding,aggregate),2,count).',\n",
-    " 'attribute((encoding,stack),2,normalize).',\n",
-    " 'entity(encoding,1,3).',\n",
-    " 'attribute((encoding,channel),3,y).',\n",
-    " 'attribute((encoding,field),3,temperature).',\n",
-    " 'attribute((encoding,binning),3,10).',\n",
-    " 'entity(encoding,1,4).',\n",
-    " 'attribute((encoding,channel),4,color).',\n",
-    " 'attribute((encoding,field),4,condition).',\n",
-    " 'entity(scale,0,5).',\n",
-    " 'attribute((scale,channel),5,x).',\n",
-    " 'attribute((scale,type),5,linear).',\n",
-    " 'attribute((scale,zero),5,true).',\n",
-    " 'entity(scale,0,6).',\n",
-    " 'attribute((scale,channel),6,y).',\n",
-    " 'attribute((scale,type),6,linear).',\n",
-    " 'entity(scale,0,7).',\n",
-    " 'attribute((scale,channel),7,color).',\n",
-    " 'attribute((scale,type),7,categorical).']\n",
+    "facts = [\n",
+    "    \"attribute(number_rows,root,100).\",\n",
+    "    \"entity(field,root,temperature).\",\n",
+    "    \"attribute((field,name),temperature,temperature).\",\n",
+    "    \"attribute((field,type),temperature,number).\",\n",
+    "    \"entity(field,root,condition).\",\n",
+    "    \"attribute((field,name),condition,condition).\",\n",
+    "    \"attribute((field,type),condition,string).\",\n",
+    "    \"entity(view,root,0).\",\n",
+    "    \"entity(mark,0,1).\",\n",
+    "    \"attribute((mark,type),1,bar).\",\n",
+    "    \"entity(encoding,1,2).\",\n",
+    "    \"attribute((encoding,channel),2,x).\",\n",
+    "    \"attribute((encoding,aggregate),2,count).\",\n",
+    "    \"attribute((encoding,stack),2,normalize).\",\n",
+    "    \"entity(encoding,1,3).\",\n",
+    "    \"attribute((encoding,channel),3,y).\",\n",
+    "    \"attribute((encoding,field),3,temperature).\",\n",
+    "    \"attribute((encoding,binning),3,10).\",\n",
+    "    \"entity(encoding,1,4).\",\n",
+    "    \"attribute((encoding,channel),4,color).\",\n",
+    "    \"attribute((encoding,field),4,condition).\",\n",
+    "    \"entity(scale,0,5).\",\n",
+    "    \"attribute((scale,channel),5,x).\",\n",
+    "    \"attribute((scale,type),5,linear).\",\n",
+    "    \"attribute((scale,zero),5,true).\",\n",
+    "    \"entity(scale,0,6).\",\n",
+    "    \"attribute((scale,channel),6,y).\",\n",
+    "    \"attribute((scale,type),6,linear).\",\n",
+    "    \"entity(scale,0,7).\",\n",
+    "    \"attribute((scale,channel),7,color).\",\n",
+    "    \"attribute((scale,type),7,categorical).\",\n",
+    "]\n",
     "spec = facts_to_dict(facts)\n",
     "pprint(spec)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 68,
+   "execution_count": 192,
    "metadata": {},
    "outputs": [
     {
@@ -1322,7 +1342,7 @@
     },
     {
      "data": {
-      "text/html": "\n<div id=\"altair-viz-4db93f1b4e984d7b94ea30da5525e286\"></div>\n<script type=\"text/javascript\">\n  var VEGA_DEBUG = (typeof VEGA_DEBUG == \"undefined\") ? {} : VEGA_DEBUG;\n  (function(spec, embedOpt){\n    let outputDiv = document.currentScript.previousElementSibling;\n    if (outputDiv.id !== \"altair-viz-4db93f1b4e984d7b94ea30da5525e286\") {\n      outputDiv = document.getElementById(\"altair-viz-4db93f1b4e984d7b94ea30da5525e286\");\n    }\n    const paths = {\n      \"vega\": \"https://cdn.jsdelivr.net/npm//vega@5?noext\",\n      \"vega-lib\": \"https://cdn.jsdelivr.net/npm//vega-lib?noext\",\n      \"vega-lite\": \"https://cdn.jsdelivr.net/npm//vega-lite@4.17.0?noext\",\n      \"vega-embed\": \"https://cdn.jsdelivr.net/npm//vega-embed@6?noext\",\n    };\n\n    function maybeLoadScript(lib, version) {\n      var key = `${lib.replace(\"-\", \"\")}_version`;\n      return (VEGA_DEBUG[key] == version) ?\n        Promise.resolve(paths[lib]) :\n        new Promise(function(resolve, reject) {\n          var s = document.createElement('script');\n          document.getElementsByTagName(\"head\")[0].appendChild(s);\n          s.async = true;\n          s.onload = () => {\n            VEGA_DEBUG[key] = version;\n            return resolve(paths[lib]);\n          };\n          s.onerror = () => reject(`Error loading script: ${paths[lib]}`);\n          s.src = paths[lib];\n        });\n    }\n\n    function showError(err) {\n      outputDiv.innerHTML = `<div class=\"error\" style=\"color:red;\">${err}</div>`;\n      throw err;\n    }\n\n    function displayChart(vegaEmbed) {\n      vegaEmbed(outputDiv, spec, embedOpt)\n        .catch(err => showError(`Javascript Error: ${err.message}<br>This usually means there's a typo in your chart specification. See the javascript console for the full traceback.`));\n    }\n\n    if(typeof define === \"function\" && define.amd) {\n      requirejs.config({paths});\n      require([\"vega-embed\"], displayChart, err => showError(`Error loading script: ${err.message}`));\n    } else {\n      maybeLoadScript(\"vega\", \"5\")\n        .then(() => maybeLoadScript(\"vega-lite\", \"4.17.0\"))\n        .then(() => maybeLoadScript(\"vega-embed\", \"6\"))\n        .catch(showError)\n        .then(() => displayChart(vegaEmbed));\n    }\n  })({\"config\": {\"view\": {\"continuousWidth\": 400, \"continuousHeight\": 300}}, \"data\": {\"name\": \"data-80b0e930866eee6a77413fd6e0890a78\"}, \"mark\": \"bar\", \"encoding\": {\"color\": {\"field\": \"condition\", \"type\": \"nominal\"}, \"x\": {\"aggregate\": \"count\", \"field\": \"temperature\", \"scale\": {\"type\": \"linear\", \"zero\": true}, \"stack\": \"normalize\", \"type\": \"quantitative\"}, \"y\": {\"bin\": {\"maxbins\": 10}, \"field\": \"temperature\", 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\"precipitation\": 58.34025135533383, \"condition\": \"drizzle\"}, {\"temperature\": -7.883075294840844, \"wind\": 98.24018815877206, \"precipitation\": 51.405831276908884, \"condition\": \"snow\"}, {\"temperature\": 36.853296493232534, \"wind\": 17.44230067062308, \"precipitation\": 55.91312117168676, \"condition\": \"drizzle\"}, {\"temperature\": -9.582596783874624, \"wind\": 23.835535427130438, \"precipitation\": 61.605688998244446, \"condition\": \"fog\"}, {\"temperature\": -9.419128745924892, \"wind\": 53.25395558360789, \"precipitation\": 78.4515605013817, \"condition\": \"sun\"}, {\"temperature\": 4.571583314676532, \"wind\": 9.068613866100073, \"precipitation\": 42.448264608376526, \"condition\": \"rain\"}, {\"temperature\": 6.6203336157740615, \"wind\": 35.87691221835703, \"precipitation\": 64.98980696659649, \"condition\": \"rain\"}, {\"temperature\": 20.627672555392106, \"wind\": 28.946823430475742, \"precipitation\": 14.301584887467733, \"condition\": \"rain\"}, {\"temperature\": -9.583736731217567, \"wind\": 83.64814422156614, \"precipitation\": 35.873227198260004, \"condition\": \"snow\"}, {\"temperature\": 11.018260277272166, \"wind\": 82.98059861355699, \"precipitation\": 67.52390799343073, \"condition\": \"drizzle\"}, {\"temperature\": 5.411451095385809, \"wind\": 21.05653192591779, \"precipitation\": 98.10920750481597, \"condition\": \"fog\"}, {\"temperature\": 2.807402352777551, \"wind\": 40.81431754466085, \"precipitation\": 17.10555449196962, \"condition\": \"drizzle\"}, {\"temperature\": 33.60928142306782, \"wind\": 68.86862385408263, \"precipitation\": 1.7511520670655312, \"condition\": \"drizzle\"}, {\"temperature\": -3.7305842295491463, \"wind\": 22.99270590580842, \"precipitation\": 20.45024425044729, \"condition\": \"sun\"}, {\"temperature\": 38.88636288200788, \"wind\": 4.451268770649408, \"precipitation\": 50.18581381273084, \"condition\": \"snow\"}, {\"temperature\": 30.677916880360065, \"wind\": 57.58927095398997, \"precipitation\": 3.882294040985468, \"condition\": \"sun\"}, {\"temperature\": 20.936747003011536, \"wind\": 86.15890903839221, \"precipitation\": 84.64626055952643, \"condition\": \"sun\"}, {\"temperature\": 37.960508459665974, \"wind\": 83.22348385800635, \"precipitation\": 78.09579123477448, \"condition\": \"sun\"}, {\"temperature\": 2.789340992140385, \"wind\": 5.604841844996544, \"precipitation\": 64.23176719571818, \"condition\": \"rain\"}, {\"temperature\": -7.362921707472104, \"wind\": 57.37740217449133, \"precipitation\": 18.499742279296438, \"condition\": \"sun\"}, {\"temperature\": 1.1912189059593281, \"wind\": 46.52929788933954, \"precipitation\": 56.223732701756326, \"condition\": \"rain\"}, {\"temperature\": 5.601287545202137, \"wind\": 10.557820768094484, \"precipitation\": 10.005361911795385, \"condition\": \"sun\"}, {\"temperature\": 38.06145401149945, \"wind\": 40.55588658579815, \"precipitation\": 18.57864165136399, \"condition\": \"rain\"}, {\"temperature\": 10.003338415782952, \"wind\": 0.38143550979561347, \"precipitation\": 3.4323593600883995, \"condition\": \"snow\"}, {\"temperature\": 35.51840784136351, \"wind\": 85.38213169679159, \"precipitation\": 72.28024508142481, \"condition\": \"rain\"}, {\"temperature\": 42.22464006089062, \"wind\": 21.90245982426261, \"precipitation\": 64.4540475166047, \"condition\": \"snow\"}, {\"temperature\": 42.62614276410388, \"wind\": 16.596731146807365, \"precipitation\": 85.31723680641925, \"condition\": \"sun\"}, {\"temperature\": 4.666633193701054, \"wind\": 13.9068281587152, \"precipitation\": 87.48180339020342, \"condition\": \"drizzle\"}, {\"temperature\": 16.15426117162615, \"wind\": 38.00342325742586, \"precipitation\": 47.264072847267016, \"condition\": \"rain\"}, {\"temperature\": 15.032591880472172, \"wind\": 86.42884715473586, \"precipitation\": 81.69554228509587, \"condition\": \"rain\"}, {\"temperature\": 35.19149371217065, \"wind\": 72.5074270480888, \"precipitation\": 22.443215096530544, \"condition\": \"sun\"}, {\"temperature\": 26.84120821812121, \"wind\": 83.91441221303555, \"precipitation\": 63.11915666511897, \"condition\": \"drizzle\"}, {\"temperature\": 34.88005063805122, \"wind\": 45.33004448381994, \"precipitation\": 0.9935886811615613, \"condition\": \"rain\"}, {\"temperature\": 41.376840349386185, \"wind\": 7.544840957817378, \"precipitation\": 54.70235300254609, \"condition\": \"snow\"}, {\"temperature\": 36.960725847409456, \"wind\": 49.46574838149229, \"precipitation\": 85.47567556668297, \"condition\": \"snow\"}, {\"temperature\": 14.586289413415074, \"wind\": 4.489700154671472, \"precipitation\": 10.31362572720238, \"condition\": \"sun\"}, {\"temperature\": 20.04343950622185, \"wind\": 66.32817964057357, \"precipitation\": 74.44590348494177, \"condition\": \"sun\"}, {\"temperature\": 25.469560172224703, \"wind\": 82.06241734640489, \"precipitation\": 61.201009993418275, \"condition\": \"rain\"}, {\"temperature\": 20.070995853722245, \"wind\": 46.445227996549974, \"precipitation\": 53.59556892779981, \"condition\": \"snow\"}, {\"temperature\": 5.685018294722338, \"wind\": 58.17077525039538, \"precipitation\": 31.236078403128474, \"condition\": \"snow\"}, {\"temperature\": 42.487483009401764, \"wind\": 71.08000859923487, \"precipitation\": 61.47201457950021, \"condition\": \"rain\"}, {\"temperature\": -7.079256299328551, \"wind\": 27.004309009604967, \"precipitation\": 19.794263832693815, \"condition\": \"rain\"}, {\"temperature\": -5.045047126960084, \"wind\": 88.93771732732128, \"precipitation\": 99.50453536234512, \"condition\": \"fog\"}, {\"temperature\": 25.4533582484732, \"wind\": 96.38774772376792, \"precipitation\": 69.85460214191481, \"condition\": \"rain\"}, {\"temperature\": 22.955919291252926, \"wind\": 88.48558780603962, \"precipitation\": 40.268588772168876, \"condition\": \"snow\"}, {\"temperature\": 27.507453592914565, \"wind\": 29.838439613656075, \"precipitation\": 27.845875256677367, \"condition\": \"fog\"}, {\"temperature\": -6.870451234225997, \"wind\": 54.90225410574824, \"precipitation\": 29.74026895430255, \"condition\": \"snow\"}, {\"temperature\": 41.66879121402853, \"wind\": 21.388390668516323, \"precipitation\": 23.449697200445573, \"condition\": \"sun\"}, {\"temperature\": 15.838369384298645, \"wind\": 14.553164438107524, \"precipitation\": 78.9078385630916, \"condition\": \"sun\"}, {\"temperature\": 13.794652090601591, \"wind\": 31.915985033787553, \"precipitation\": 65.39000850075058, \"condition\": \"fog\"}, {\"temperature\": -0.24791853446323842, \"wind\": 16.053122209894966, \"precipitation\": 26.219628309452382, \"condition\": \"sun\"}, {\"temperature\": 20.625989859426074, \"wind\": 15.348759697534453, \"precipitation\": 94.2004787208339, \"condition\": \"rain\"}, {\"temperature\": 17.22130558630064, \"wind\": 61.15140884010469, \"precipitation\": 27.79385279217691, \"condition\": \"snow\"}, {\"temperature\": 15.342628921870396, \"wind\": 52.15522860596962, \"precipitation\": 44.258578235337545, \"condition\": \"drizzle\"}, {\"temperature\": 43.28838980732394, \"wind\": 30.617573960681387, \"precipitation\": 90.705784312922, \"condition\": \"drizzle\"}, {\"temperature\": 31.752614189233682, \"wind\": 54.002536771242745, \"precipitation\": 98.5871144935895, \"condition\": \"drizzle\"}, {\"temperature\": 3.5475184692079793, \"wind\": 96.91039458765935, \"precipitation\": 50.00054618320339, \"condition\": \"fog\"}]}}, {\"mode\": \"vega-lite\"});\n</script>",
       "text/plain": "alt.Chart(...)"
      },
      "metadata": {},
@@ -1332,16 +1352,20 @@
    "source": [
     "base = alt.Chart(df)\n",
     "bar = base.mark_bar().encode(\n",
-    "    x=alt.X(field='temperature', \n",
-    "            type='quantitative', \n",
-    "            aggregate='count', \n",
-    "            stack='normalize',\n",
-    "            scale=alt.Scale(type='linear', zero=True)),\n",
-    "    y=alt.Y(field='temperature', \n",
-    "            type='quantitative',\n",
-    "            bin=alt.Bin(maxbins=10),\n",
-    "            scale=alt.Scale(type='linear')),\n",
-    "    color=alt.Color(field='condition', type='nominal')\n",
+    "    x=alt.X(\n",
+    "        field=\"temperature\",\n",
+    "        type=\"quantitative\",\n",
+    "        aggregate=\"count\",\n",
+    "        stack=\"normalize\",\n",
+    "        scale=alt.Scale(type=\"linear\", zero=True),\n",
+    "    ),\n",
+    "    y=alt.Y(\n",
+    "        field=\"temperature\",\n",
+    "        type=\"quantitative\",\n",
+    "        bin=alt.Bin(maxbins=10),\n",
+    "        scale=alt.Scale(type=\"linear\"),\n",
+    "    ),\n",
+    "    color=alt.Color(field=\"condition\", type=\"nominal\"),\n",
     ")\n",
     "display_chart(bar)"
    ]
@@ -1362,7 +1386,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 69,
+   "execution_count": 193,
    "metadata": {},
    "outputs": [
     {
@@ -1382,33 +1406,35 @@
     }
    ],
    "source": [
-    "facts = ['attribute(number_rows,root,100).',\n",
-    " 'entity(field,root,temperature).',\n",
-    " 'attribute((field,name),temperature,temperature).',\n",
-    " 'attribute((field,type),temperature,number).',\n",
-    " 'entity(view,root,0).',\n",
-    " 'entity(mark,0,1).',\n",
-    " 'attribute((mark,type),1,bar).',\n",
-    " 'entity(encoding,1,2).',\n",
-    " 'attribute((encoding,channel),2,x).',\n",
-    " 'attribute((encoding,aggregate),2,mean).',\n",
-    " 'attribute((encoding,field),2,temperature).',\n",
-    " 'entity(mark,0,3).',\n",
-    " 'attribute((mark,type),3,tick).',\n",
-    " 'entity(encoding,3,4).',\n",
-    " 'attribute((encoding,channel),4,x).',\n",
-    " 'attribute((encoding,field),4,temperature).',\n",
-    " 'entity(scale,0,5).',\n",
-    " 'attribute((scale,channel),5,x).',\n",
-    " 'attribute((scale,type),5,linear).',\n",
-    " 'attribute((scale,zero),5,true).']\n",
+    "facts = [\n",
+    "    \"attribute(number_rows,root,100).\",\n",
+    "    \"entity(field,root,temperature).\",\n",
+    "    \"attribute((field,name),temperature,temperature).\",\n",
+    "    \"attribute((field,type),temperature,number).\",\n",
+    "    \"entity(view,root,0).\",\n",
+    "    \"entity(mark,0,1).\",\n",
+    "    \"attribute((mark,type),1,bar).\",\n",
+    "    \"entity(encoding,1,2).\",\n",
+    "    \"attribute((encoding,channel),2,x).\",\n",
+    "    \"attribute((encoding,aggregate),2,mean).\",\n",
+    "    \"attribute((encoding,field),2,temperature).\",\n",
+    "    \"entity(mark,0,3).\",\n",
+    "    \"attribute((mark,type),3,tick).\",\n",
+    "    \"entity(encoding,3,4).\",\n",
+    "    \"attribute((encoding,channel),4,x).\",\n",
+    "    \"attribute((encoding,field),4,temperature).\",\n",
+    "    \"entity(scale,0,5).\",\n",
+    "    \"attribute((scale,channel),5,x).\",\n",
+    "    \"attribute((scale,type),5,linear).\",\n",
+    "    \"attribute((scale,zero),5,true).\",\n",
+    "]\n",
     "spec = facts_to_dict(facts)\n",
     "pprint(spec)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 70,
+   "execution_count": 194,
    "metadata": {},
    "outputs": [
     {
@@ -1430,7 +1456,7 @@
     },
     {
      "data": {
-      "text/html": "\n<div id=\"altair-viz-9988861d86de4d9fb90604fcc0ca7ffc\"></div>\n<script type=\"text/javascript\">\n  var VEGA_DEBUG = (typeof VEGA_DEBUG == \"undefined\") ? {} : VEGA_DEBUG;\n  (function(spec, embedOpt){\n    let outputDiv = document.currentScript.previousElementSibling;\n    if (outputDiv.id !== \"altair-viz-9988861d86de4d9fb90604fcc0ca7ffc\") {\n      outputDiv = document.getElementById(\"altair-viz-9988861d86de4d9fb90604fcc0ca7ffc\");\n    }\n    const paths = {\n      \"vega\": \"https://cdn.jsdelivr.net/npm//vega@5?noext\",\n      \"vega-lib\": \"https://cdn.jsdelivr.net/npm//vega-lib?noext\",\n      \"vega-lite\": \"https://cdn.jsdelivr.net/npm//vega-lite@4.17.0?noext\",\n      \"vega-embed\": \"https://cdn.jsdelivr.net/npm//vega-embed@6?noext\",\n    };\n\n    function maybeLoadScript(lib, version) {\n      var key = `${lib.replace(\"-\", \"\")}_version`;\n      return (VEGA_DEBUG[key] == version) ?\n        Promise.resolve(paths[lib]) :\n        new Promise(function(resolve, reject) {\n          var s = document.createElement('script');\n          document.getElementsByTagName(\"head\")[0].appendChild(s);\n          s.async = true;\n          s.onload = () => {\n            VEGA_DEBUG[key] = version;\n            return resolve(paths[lib]);\n          };\n          s.onerror = () => reject(`Error loading script: ${paths[lib]}`);\n          s.src = paths[lib];\n        });\n    }\n\n    function showError(err) {\n      outputDiv.innerHTML = `<div class=\"error\" style=\"color:red;\">${err}</div>`;\n      throw err;\n    }\n\n    function displayChart(vegaEmbed) {\n      vegaEmbed(outputDiv, spec, embedOpt)\n        .catch(err => showError(`Javascript Error: ${err.message}<br>This usually means there's a typo in your chart specification. See the javascript console for the full traceback.`));\n    }\n\n    if(typeof define === \"function\" && define.amd) {\n      requirejs.config({paths});\n      require([\"vega-embed\"], displayChart, err => showError(`Error loading script: ${err.message}`));\n    } else {\n      maybeLoadScript(\"vega\", \"5\")\n        .then(() => maybeLoadScript(\"vega-lite\", \"4.17.0\"))\n        .then(() => maybeLoadScript(\"vega-embed\", \"6\"))\n        .catch(showError)\n        .then(() => displayChart(vegaEmbed));\n    }\n  })({\"config\": {\"view\": {\"continuousWidth\": 400, \"continuousHeight\": 300}}, \"layer\": [{\"mark\": \"bar\", \"encoding\": {\"x\": {\"aggregate\": \"mean\", \"field\": \"temperature\", \"scale\": {\"type\": \"linear\", \"zero\": true}, \"type\": \"quantitative\"}}}, {\"mark\": \"tick\", \"encoding\": {\"x\": {\"field\": \"temperature\", \"scale\": {\"type\": \"linear\", \"zero\": true}, \"type\": \"quantitative\"}}}], \"data\": {\"name\": \"data-80b0e930866eee6a77413fd6e0890a78\"}, \"$schema\": \"https://vega.github.io/schema/vega-lite/v4.17.0.json\", \"datasets\": {\"data-80b0e930866eee6a77413fd6e0890a78\": [{\"temperature\": 39.357871877508494, \"wind\": 11.562263885182233, \"precipitation\": 88.42051387921796, \"condition\": \"fog\"}, {\"temperature\": -5.947154608637572, \"wind\": 86.90701738497849, \"precipitation\": 70.55832915444152, \"condition\": \"rain\"}, {\"temperature\": 32.82765627853655, \"wind\": 97.65897402212389, \"precipitation\": 82.65511533530304, \"condition\": \"sun\"}, {\"temperature\": 17.525999106231197, \"wind\": 65.52797477069528, \"precipitation\": 53.86256526101837, \"condition\": \"snow\"}, {\"temperature\": -6.80882656934652, \"wind\": 37.03429394195952, \"precipitation\": 93.86525481254682, \"condition\": \"drizzle\"}, {\"temperature\": 42.35997285539091, \"wind\": 72.00671240950793, \"precipitation\": 40.6587905336316, \"condition\": \"sun\"}, {\"temperature\": 12.236046428620227, \"wind\": 24.35537864304579, \"precipitation\": 83.89080965364893, \"condition\": \"sun\"}, {\"temperature\": 42.8103257781665, \"wind\": 29.81101459268268, \"precipitation\": 71.55020159752638, \"condition\": \"sun\"}, {\"temperature\": 22.54392113778252, \"wind\": 96.88264927669367, \"precipitation\": 57.21207145158276, \"condition\": \"rain\"}, {\"temperature\": 22.503608231529917, \"wind\": 73.45718441223443, \"precipitation\": 18.48099480479052, \"condition\": \"fog\"}, {\"temperature\": 20.697023061259923, \"wind\": 78.8085781529467, \"precipitation\": 82.06153728611223, \"condition\": \"drizzle\"}, {\"temperature\": 25.290109397291054, \"wind\": 80.30649374788099, \"precipitation\": 22.36608661432985, \"condition\": \"sun\"}, {\"temperature\": 38.2799313550365, \"wind\": 67.47085587574028, \"precipitation\": 20.740111999310816, \"condition\": \"snow\"}, {\"temperature\": 3.6725463468113624, \"wind\": 1.0115541087158841, \"precipitation\": 18.15771285571497, \"condition\": \"fog\"}, {\"temperature\": 43.05607594953013, \"wind\": 60.68482719845524, \"precipitation\": 57.77089873340201, \"condition\": \"drizzle\"}, {\"temperature\": 32.26702695541979, \"wind\": 51.25287908408247, \"precipitation\": 82.37499650298116, \"condition\": \"sun\"}, {\"temperature\": 20.65470025342109, \"wind\": 17.357994382399223, \"precipitation\": 61.85803419037972, \"condition\": \"snow\"}, {\"temperature\": 7.591958649416281, \"wind\": 56.87567133218157, \"precipitation\": 63.83705679953054, \"condition\": \"drizzle\"}, {\"temperature\": 34.12588295742098, \"wind\": 53.49706318356736, \"precipitation\": 39.89871505509641, \"condition\": \"drizzle\"}, {\"temperature\": 43.35047614485006, \"wind\": 25.611854852857896, \"precipitation\": 80.36992353488051, \"condition\": \"sun\"}, {\"temperature\": -0.6670916465821719, \"wind\": 85.48944217634627, \"precipitation\": 74.19603252504737, \"condition\": \"fog\"}, {\"temperature\": 27.71533514546813, \"wind\": 92.40258299219964, \"precipitation\": 35.46329445299181, \"condition\": \"sun\"}, {\"temperature\": 42.990310063528334, \"wind\": 4.767210553938305, \"precipitation\": 78.84896594785124, \"condition\": \"drizzle\"}, {\"temperature\": 12.78024257419457, \"wind\": 70.42789298007587, \"precipitation\": 32.19857853159736, \"condition\": \"rain\"}, {\"temperature\": 12.345464511586698, \"wind\": 96.37504245663669, \"precipitation\": 58.32326475918834, \"condition\": \"drizzle\"}, {\"temperature\": 16.615985139736694, \"wind\": 79.42654814203834, \"precipitation\": 13.002687080260278, \"condition\": \"drizzle\"}, {\"temperature\": 37.42489242698708, \"wind\": 61.345695045120095, \"precipitation\": 43.77564041090408, \"condition\": \"rain\"}, {\"temperature\": 4.4803758908315565, \"wind\": 49.77522034422004, \"precipitation\": 50.69600709811043, \"condition\": \"drizzle\"}, {\"temperature\": 24.097652039323982, \"wind\": 8.979384326640405, \"precipitation\": 30.641954593528485, \"condition\": \"sun\"}, 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\"sun\"}, {\"temperature\": 26.84120821812121, \"wind\": 83.91441221303555, \"precipitation\": 63.11915666511897, \"condition\": \"drizzle\"}, {\"temperature\": 34.88005063805122, \"wind\": 45.33004448381994, \"precipitation\": 0.9935886811615613, \"condition\": \"rain\"}, {\"temperature\": 41.376840349386185, \"wind\": 7.544840957817378, \"precipitation\": 54.70235300254609, \"condition\": \"snow\"}, {\"temperature\": 36.960725847409456, \"wind\": 49.46574838149229, \"precipitation\": 85.47567556668297, \"condition\": \"snow\"}, {\"temperature\": 14.586289413415074, \"wind\": 4.489700154671472, \"precipitation\": 10.31362572720238, \"condition\": \"sun\"}, {\"temperature\": 20.04343950622185, \"wind\": 66.32817964057357, \"precipitation\": 74.44590348494177, \"condition\": \"sun\"}, {\"temperature\": 25.469560172224703, \"wind\": 82.06241734640489, \"precipitation\": 61.201009993418275, \"condition\": \"rain\"}, {\"temperature\": 20.070995853722245, \"wind\": 46.445227996549974, \"precipitation\": 53.59556892779981, \"condition\": \"snow\"}, {\"temperature\": 5.685018294722338, \"wind\": 58.17077525039538, \"precipitation\": 31.236078403128474, \"condition\": \"snow\"}, {\"temperature\": 42.487483009401764, \"wind\": 71.08000859923487, \"precipitation\": 61.47201457950021, \"condition\": \"rain\"}, {\"temperature\": -7.079256299328551, \"wind\": 27.004309009604967, \"precipitation\": 19.794263832693815, \"condition\": \"rain\"}, {\"temperature\": -5.045047126960084, \"wind\": 88.93771732732128, \"precipitation\": 99.50453536234512, \"condition\": \"fog\"}, {\"temperature\": 25.4533582484732, \"wind\": 96.38774772376792, \"precipitation\": 69.85460214191481, \"condition\": \"rain\"}, {\"temperature\": 22.955919291252926, \"wind\": 88.48558780603962, \"precipitation\": 40.268588772168876, \"condition\": \"snow\"}, {\"temperature\": 27.507453592914565, \"wind\": 29.838439613656075, \"precipitation\": 27.845875256677367, \"condition\": \"fog\"}, {\"temperature\": -6.870451234225997, \"wind\": 54.90225410574824, \"precipitation\": 29.74026895430255, \"condition\": \"snow\"}, {\"temperature\": 41.66879121402853, \"wind\": 21.388390668516323, \"precipitation\": 23.449697200445573, \"condition\": \"sun\"}, {\"temperature\": 15.838369384298645, \"wind\": 14.553164438107524, \"precipitation\": 78.9078385630916, \"condition\": \"sun\"}, {\"temperature\": 13.794652090601591, \"wind\": 31.915985033787553, \"precipitation\": 65.39000850075058, \"condition\": \"fog\"}, {\"temperature\": -0.24791853446323842, \"wind\": 16.053122209894966, \"precipitation\": 26.219628309452382, \"condition\": \"sun\"}, {\"temperature\": 20.625989859426074, \"wind\": 15.348759697534453, \"precipitation\": 94.2004787208339, \"condition\": \"rain\"}, {\"temperature\": 17.22130558630064, \"wind\": 61.15140884010469, \"precipitation\": 27.79385279217691, \"condition\": \"snow\"}, {\"temperature\": 15.342628921870396, \"wind\": 52.15522860596962, \"precipitation\": 44.258578235337545, \"condition\": \"drizzle\"}, {\"temperature\": 43.28838980732394, \"wind\": 30.617573960681387, \"precipitation\": 90.705784312922, \"condition\": \"drizzle\"}, {\"temperature\": 31.752614189233682, \"wind\": 54.002536771242745, \"precipitation\": 98.5871144935895, \"condition\": \"drizzle\"}, {\"temperature\": 3.5475184692079793, \"wind\": 96.91039458765935, \"precipitation\": 50.00054618320339, \"condition\": \"fog\"}]}}, {\"mode\": \"vega-lite\"});\n</script>",
       "text/plain": "alt.LayerChart(...)"
      },
      "metadata": {},
@@ -1440,15 +1466,19 @@
    "source": [
     "base = alt.Chart(df)\n",
     "bar = base.mark_bar().encode(\n",
-    "    x=alt.X(field='temperature', \n",
-    "            type='quantitative',\n",
-    "            aggregate='mean',\n",
-    "            scale=alt.Scale(type='linear', zero=True)),\n",
+    "    x=alt.X(\n",
+    "        field=\"temperature\",\n",
+    "        type=\"quantitative\",\n",
+    "        aggregate=\"mean\",\n",
+    "        scale=alt.Scale(type=\"linear\", zero=True),\n",
+    "    ),\n",
     ")\n",
     "tick = base.mark_tick().encode(\n",
-    "    x=alt.X(field='temperature', \n",
-    "            type='quantitative',\n",
-    "            scale=alt.Scale(type='linear', zero=True)),\n",
+    "    x=alt.X(\n",
+    "        field=\"temperature\",\n",
+    "        type=\"quantitative\",\n",
+    "        scale=alt.Scale(type=\"linear\", zero=True),\n",
+    "    ),\n",
     ")\n",
     "display_chart(bar + tick)"
    ]
@@ -1469,7 +1499,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 71,
+   "execution_count": 195,
    "metadata": {},
    "outputs": [
     {
@@ -1490,41 +1520,43 @@
     }
    ],
    "source": [
-    "facts = ['attribute(number_rows,root,100).',\n",
-    " 'entity(field,root,temperature).',\n",
-    " 'attribute((field,name),temperature,temperature).',\n",
-    " 'attribute((field,type),temperature,number).',\n",
-    " 'entity(field,root,wind).',\n",
-    " 'attribute((field,name),wind,wind).',\n",
-    " 'attribute((field,type),wind,number).',\n",
-    " 'entity(field,root,condition).',\n",
-    " 'attribute((field,name),condition,condition).',\n",
-    " 'attribute((field,type),condition,string).',\n",
-    " 'entity(view,root,0).',\n",
-    " 'entity(mark,0,1).',\n",
-    " 'attribute((mark,type),1,point).',\n",
-    " 'entity(encoding,1,2).',\n",
-    " 'attribute((encoding,channel),2,x).',\n",
-    " 'attribute((encoding,field),2,temperature).',\n",
-    " 'entity(encoding,1,3).',\n",
-    " 'attribute((encoding,channel),3,y).',\n",
-    " 'attribute((encoding,field),3,wind).',\n",
-    " 'entity(scale,0,4).',\n",
-    " 'attribute((scale,channel),4,x).',\n",
-    " 'attribute((scale,type),4,linear).',\n",
-    " 'entity(scale,0,5).',\n",
-    " 'attribute((scale,channel),5,y).',\n",
-    " 'attribute((scale,type),5,linear).',\n",
-    " 'entity(facet,0,6).',\n",
-    " 'attribute((facet,channel),6,col).',\n",
-    " 'attribute((facet,field),6,condition).']\n",
+    "facts = [\n",
+    "    \"attribute(number_rows,root,100).\",\n",
+    "    \"entity(field,root,temperature).\",\n",
+    "    \"attribute((field,name),temperature,temperature).\",\n",
+    "    \"attribute((field,type),temperature,number).\",\n",
+    "    \"entity(field,root,wind).\",\n",
+    "    \"attribute((field,name),wind,wind).\",\n",
+    "    \"attribute((field,type),wind,number).\",\n",
+    "    \"entity(field,root,condition).\",\n",
+    "    \"attribute((field,name),condition,condition).\",\n",
+    "    \"attribute((field,type),condition,string).\",\n",
+    "    \"entity(view,root,0).\",\n",
+    "    \"entity(mark,0,1).\",\n",
+    "    \"attribute((mark,type),1,point).\",\n",
+    "    \"entity(encoding,1,2).\",\n",
+    "    \"attribute((encoding,channel),2,x).\",\n",
+    "    \"attribute((encoding,field),2,temperature).\",\n",
+    "    \"entity(encoding,1,3).\",\n",
+    "    \"attribute((encoding,channel),3,y).\",\n",
+    "    \"attribute((encoding,field),3,wind).\",\n",
+    "    \"entity(scale,0,4).\",\n",
+    "    \"attribute((scale,channel),4,x).\",\n",
+    "    \"attribute((scale,type),4,linear).\",\n",
+    "    \"entity(scale,0,5).\",\n",
+    "    \"attribute((scale,channel),5,y).\",\n",
+    "    \"attribute((scale,type),5,linear).\",\n",
+    "    \"entity(facet,0,6).\",\n",
+    "    \"attribute((facet,channel),6,col).\",\n",
+    "    \"attribute((facet,field),6,condition).\",\n",
+    "]\n",
     "spec = facts_to_dict(facts)\n",
     "pprint(spec)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 72,
+   "execution_count": 196,
    "metadata": {},
    "outputs": [
     {
@@ -1541,7 +1573,7 @@
     },
     {
      "data": {
-      "text/html": "\n<div id=\"altair-viz-288885f34b724d13ab7a97a75e9df585\"></div>\n<script type=\"text/javascript\">\n  var VEGA_DEBUG = (typeof VEGA_DEBUG == \"undefined\") ? {} : VEGA_DEBUG;\n  (function(spec, embedOpt){\n    let outputDiv = document.currentScript.previousElementSibling;\n    if (outputDiv.id !== \"altair-viz-288885f34b724d13ab7a97a75e9df585\") {\n      outputDiv = document.getElementById(\"altair-viz-288885f34b724d13ab7a97a75e9df585\");\n    }\n    const paths = {\n      \"vega\": \"https://cdn.jsdelivr.net/npm//vega@5?noext\",\n      \"vega-lib\": \"https://cdn.jsdelivr.net/npm//vega-lib?noext\",\n      \"vega-lite\": \"https://cdn.jsdelivr.net/npm//vega-lite@4.17.0?noext\",\n      \"vega-embed\": \"https://cdn.jsdelivr.net/npm//vega-embed@6?noext\",\n    };\n\n    function maybeLoadScript(lib, version) {\n      var key = `${lib.replace(\"-\", \"\")}_version`;\n      return (VEGA_DEBUG[key] == version) ?\n        Promise.resolve(paths[lib]) :\n        new Promise(function(resolve, reject) {\n          var s = document.createElement('script');\n          document.getElementsByTagName(\"head\")[0].appendChild(s);\n          s.async = true;\n          s.onload = () => {\n            VEGA_DEBUG[key] = version;\n            return resolve(paths[lib]);\n          };\n          s.onerror = () => reject(`Error loading script: ${paths[lib]}`);\n          s.src = paths[lib];\n        });\n    }\n\n    function showError(err) {\n      outputDiv.innerHTML = `<div class=\"error\" style=\"color:red;\">${err}</div>`;\n      throw err;\n    }\n\n    function displayChart(vegaEmbed) {\n      vegaEmbed(outputDiv, spec, embedOpt)\n        .catch(err => showError(`Javascript Error: ${err.message}<br>This usually means there's a typo in your chart specification. See the javascript console for the full traceback.`));\n    }\n\n    if(typeof define === \"function\" && define.amd) {\n      requirejs.config({paths});\n      require([\"vega-embed\"], displayChart, err => showError(`Error loading script: ${err.message}`));\n    } else {\n      maybeLoadScript(\"vega\", \"5\")\n        .then(() => maybeLoadScript(\"vega-lite\", \"4.17.0\"))\n        .then(() => maybeLoadScript(\"vega-embed\", \"6\"))\n        .catch(showError)\n        .then(() => displayChart(vegaEmbed));\n    }\n  })({\"config\": {\"view\": {\"continuousWidth\": 400, \"continuousHeight\": 300}}, \"data\": {\"name\": \"data-80b0e930866eee6a77413fd6e0890a78\"}, \"facet\": {\"column\": {\"field\": \"condition\", \"type\": \"nominal\"}}, \"spec\": {\"mark\": \"point\", \"encoding\": {\"x\": {\"field\": \"temperature\", \"type\": \"quantitative\"}, \"y\": {\"field\": \"wind\", \"type\": \"quantitative\"}}}, \"$schema\": \"https://vega.github.io/schema/vega-lite/v4.17.0.json\", \"datasets\": {\"data-80b0e930866eee6a77413fd6e0890a78\": [{\"temperature\": 39.357871877508494, \"wind\": 11.562263885182233, \"precipitation\": 88.42051387921796, \"condition\": \"fog\"}, {\"temperature\": -5.947154608637572, \"wind\": 86.90701738497849, \"precipitation\": 70.55832915444152, \"condition\": \"rain\"}, {\"temperature\": 32.82765627853655, \"wind\": 97.65897402212389, \"precipitation\": 82.65511533530304, \"condition\": \"sun\"}, {\"temperature\": 17.525999106231197, \"wind\": 65.52797477069528, \"precipitation\": 53.86256526101837, \"condition\": \"snow\"}, {\"temperature\": -6.80882656934652, \"wind\": 37.03429394195952, \"precipitation\": 93.86525481254682, \"condition\": \"drizzle\"}, {\"temperature\": 42.35997285539091, \"wind\": 72.00671240950793, \"precipitation\": 40.6587905336316, \"condition\": \"sun\"}, {\"temperature\": 12.236046428620227, \"wind\": 24.35537864304579, \"precipitation\": 83.89080965364893, \"condition\": \"sun\"}, {\"temperature\": 42.8103257781665, \"wind\": 29.81101459268268, \"precipitation\": 71.55020159752638, \"condition\": \"sun\"}, {\"temperature\": 22.54392113778252, \"wind\": 96.88264927669367, \"precipitation\": 57.21207145158276, \"condition\": \"rain\"}, {\"temperature\": 22.503608231529917, \"wind\": 73.45718441223443, \"precipitation\": 18.48099480479052, \"condition\": \"fog\"}, {\"temperature\": 20.697023061259923, \"wind\": 78.8085781529467, \"precipitation\": 82.06153728611223, \"condition\": \"drizzle\"}, {\"temperature\": 25.290109397291054, \"wind\": 80.30649374788099, \"precipitation\": 22.36608661432985, \"condition\": \"sun\"}, {\"temperature\": 38.2799313550365, \"wind\": 67.47085587574028, \"precipitation\": 20.740111999310816, \"condition\": \"snow\"}, {\"temperature\": 3.6725463468113624, \"wind\": 1.0115541087158841, \"precipitation\": 18.15771285571497, \"condition\": \"fog\"}, {\"temperature\": 43.05607594953013, \"wind\": 60.68482719845524, \"precipitation\": 57.77089873340201, \"condition\": \"drizzle\"}, {\"temperature\": 32.26702695541979, \"wind\": 51.25287908408247, \"precipitation\": 82.37499650298116, \"condition\": \"sun\"}, {\"temperature\": 20.65470025342109, \"wind\": 17.357994382399223, \"precipitation\": 61.85803419037972, \"condition\": \"snow\"}, {\"temperature\": 7.591958649416281, \"wind\": 56.87567133218157, \"precipitation\": 63.83705679953054, \"condition\": \"drizzle\"}, {\"temperature\": 34.12588295742098, \"wind\": 53.49706318356736, \"precipitation\": 39.89871505509641, \"condition\": \"drizzle\"}, {\"temperature\": 43.35047614485006, \"wind\": 25.611854852857896, \"precipitation\": 80.36992353488051, \"condition\": \"sun\"}, {\"temperature\": -0.6670916465821719, \"wind\": 85.48944217634627, \"precipitation\": 74.19603252504737, \"condition\": \"fog\"}, {\"temperature\": 27.71533514546813, \"wind\": 92.40258299219964, \"precipitation\": 35.46329445299181, \"condition\": \"sun\"}, {\"temperature\": 42.990310063528334, \"wind\": 4.767210553938305, \"precipitation\": 78.84896594785124, \"condition\": \"drizzle\"}, {\"temperature\": 12.78024257419457, \"wind\": 70.42789298007587, \"precipitation\": 32.19857853159736, \"condition\": \"rain\"}, {\"temperature\": 12.345464511586698, \"wind\": 96.37504245663669, \"precipitation\": 58.32326475918834, \"condition\": \"drizzle\"}, {\"temperature\": 16.615985139736694, \"wind\": 79.42654814203834, \"precipitation\": 13.002687080260278, \"condition\": \"drizzle\"}, {\"temperature\": 37.42489242698708, \"wind\": 61.345695045120095, \"precipitation\": 43.77564041090408, \"condition\": \"rain\"}, {\"temperature\": 4.4803758908315565, \"wind\": 49.77522034422004, \"precipitation\": 50.69600709811043, \"condition\": \"drizzle\"}, {\"temperature\": 24.097652039323982, \"wind\": 8.979384326640405, \"precipitation\": 30.641954593528485, \"condition\": \"sun\"}, {\"temperature\": -5.322217743871135, \"wind\": 61.189346843944705, \"precipitation\": 31.593229557269186, \"condition\": \"snow\"}, {\"temperature\": 9.656575236136984, \"wind\": 2.1373906951494104, \"precipitation\": 57.5465193225844, \"condition\": \"rain\"}, {\"temperature\": 23.09003214094531, \"wind\": 16.8504340533028, \"precipitation\": 49.38199137777561, \"condition\": \"snow\"}, {\"temperature\": -0.8910674950475652, \"wind\": 67.4372389241753, \"precipitation\": 44.01373586297284, \"condition\": \"drizzle\"}, {\"temperature\": 38.77628981797657, \"wind\": 19.349109733319814, \"precipitation\": 18.478064234157422, \"condition\": \"snow\"}, {\"temperature\": 3.4205075380082093, \"wind\": 27.407919047755026, \"precipitation\": 32.84745237938085, \"condition\": \"fog\"}, {\"temperature\": -5.033320662096024, \"wind\": 94.25698462447689, \"precipitation\": 43.460229120490254, \"condition\": \"fog\"}, {\"temperature\": -9.971237977814939, \"wind\": 93.98073112476098, \"precipitation\": 74.78247080628827, \"condition\": \"sun\"}, {\"temperature\": 14.882883965973484, \"wind\": 24.785612027523594, \"precipitation\": 51.19773747140527, \"condition\": \"drizzle\"}, {\"temperature\": 14.018034425277474, \"wind\": 91.62717881393021, \"precipitation\": 99.49522416477019, \"condition\": \"sun\"}, {\"temperature\": 31.305982604448104, \"wind\": 40.90373869893349, \"precipitation\": 74.89298496286528, \"condition\": \"rain\"}, {\"temperature\": 30.610723278623702, \"wind\": 42.06017669565571, \"precipitation\": 69.67703870061514, \"condition\": \"snow\"}, {\"temperature\": 34.74664418075527, \"wind\": 38.58462817605697, \"precipitation\": 67.82787083848606, \"condition\": \"sun\"}, {\"temperature\": 8.120514857460222, \"wind\": 98.79896637292207, \"precipitation\": 21.126567495900296, \"condition\": \"drizzle\"}, {\"temperature\": 21.830015183550092, \"wind\": 22.1211872838582, \"precipitation\": 79.23266981302642, \"condition\": \"fog\"}, {\"temperature\": 37.98236222048335, \"wind\": 3.9308035344873593, \"precipitation\": 14.592671850934291, \"condition\": \"rain\"}, {\"temperature\": 25.958872120055887, \"wind\": 30.880613774748145, \"precipitation\": 81.56963648865039, \"condition\": \"rain\"}, {\"temperature\": 35.17236224867325, \"wind\": 31.08177020391971, \"precipitation\": 24.18647666653794, \"condition\": \"rain\"}, {\"temperature\": 33.364342578760876, \"wind\": 2.9246595809319653, \"precipitation\": 12.15848602978733, \"condition\": \"fog\"}, {\"temperature\": -3.5902835942627487, \"wind\": 86.99227504041556, \"precipitation\": 2.3639517923128017, \"condition\": \"drizzle\"}, {\"temperature\": 43.53091004081406, \"wind\": 70.60869224087214, \"precipitation\": 66.94726954818158, \"condition\": \"rain\"}, {\"temperature\": 1.8337888199719252, \"wind\": 75.06866321814911, \"precipitation\": 53.6891397098117, \"condition\": \"sun\"}, {\"temperature\": 43.47830583880354, \"wind\": 71.68689230524836, \"precipitation\": 31.73117090776013, \"condition\": \"sun\"}, {\"temperature\": 24.70816388894937, \"wind\": 68.30107169120795, 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       "text/plain": "alt.FacetChart(...)"
      },
      "metadata": {},
@@ -1551,12 +1583,10 @@
    "source": [
     "base = alt.Chart(df)\n",
     "point = base.mark_point().encode(\n",
-    "    x=alt.X(field='temperature', type='quantitative'),\n",
-    "    y=alt.Y(field='wind', type='quantitative')\n",
-    ")\n",
-    "facet = point.facet(\n",
-    "    column=alt.Column(field='condition', type='nominal')\n",
+    "    x=alt.X(field=\"temperature\", type=\"quantitative\"),\n",
+    "    y=alt.Y(field=\"wind\", type=\"quantitative\"),\n",
     ")\n",
+    "facet = point.facet(column=alt.Column(field=\"condition\", type=\"nominal\"))\n",
     "display_chart(facet)"
    ]
   },
@@ -1569,7 +1599,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 73,
+   "execution_count": 197,
    "metadata": {},
    "outputs": [
     {
@@ -1590,42 +1620,44 @@
     }
    ],
    "source": [
-    "facts = ['attribute(number_rows,root,100).',\n",
-    " 'entity(field,root,temperature).',\n",
-    " 'attribute((field,name),temperature,temperature).',\n",
-    " 'attribute((field,type),temperature,number).',\n",
-    " 'entity(field,root,wind).',\n",
-    " 'attribute((field,name),wind,wind).',\n",
-    " 'attribute((field,type),wind,number).',\n",
-    " 'entity(field,root,condition).',\n",
-    " 'attribute((field,name),condition,condition).',\n",
-    " 'attribute((field,type),condition,string).',\n",
-    " 'entity(view,root,0).',\n",
-    " 'entity(mark,0,1).',\n",
-    " 'attribute((mark,type),1,point).',\n",
-    " 'entity(encoding,1,2).',\n",
-    " 'attribute((encoding,channel),2,x).',\n",
-    " 'attribute((encoding,field),2,condition).',\n",
-    " 'entity(encoding,1,3).',\n",
-    " 'attribute((encoding,channel),3,y).',\n",
-    " 'attribute((encoding,field),3,wind).',\n",
-    " 'entity(scale,0,4).',\n",
-    " 'attribute((scale,channel),4,x).',\n",
-    " 'attribute((scale,type),4,ordinal).',\n",
-    " 'entity(scale,0,5).',\n",
-    " 'attribute((scale,channel),5,y).',\n",
-    " 'attribute((scale,type),5,linear).',\n",
-    " 'entity(facet,0,6).',\n",
-    " 'attribute((facet,channel),6,col).',\n",
-    " 'attribute((facet,field),6,temperature).',\n",
-    " 'attribute((facet,binning),6,10).']\n",
+    "facts = [\n",
+    "    \"attribute(number_rows,root,100).\",\n",
+    "    \"entity(field,root,temperature).\",\n",
+    "    \"attribute((field,name),temperature,temperature).\",\n",
+    "    \"attribute((field,type),temperature,number).\",\n",
+    "    \"entity(field,root,wind).\",\n",
+    "    \"attribute((field,name),wind,wind).\",\n",
+    "    \"attribute((field,type),wind,number).\",\n",
+    "    \"entity(field,root,condition).\",\n",
+    "    \"attribute((field,name),condition,condition).\",\n",
+    "    \"attribute((field,type),condition,string).\",\n",
+    "    \"entity(view,root,0).\",\n",
+    "    \"entity(mark,0,1).\",\n",
+    "    \"attribute((mark,type),1,point).\",\n",
+    "    \"entity(encoding,1,2).\",\n",
+    "    \"attribute((encoding,channel),2,x).\",\n",
+    "    \"attribute((encoding,field),2,condition).\",\n",
+    "    \"entity(encoding,1,3).\",\n",
+    "    \"attribute((encoding,channel),3,y).\",\n",
+    "    \"attribute((encoding,field),3,wind).\",\n",
+    "    \"entity(scale,0,4).\",\n",
+    "    \"attribute((scale,channel),4,x).\",\n",
+    "    \"attribute((scale,type),4,ordinal).\",\n",
+    "    \"entity(scale,0,5).\",\n",
+    "    \"attribute((scale,channel),5,y).\",\n",
+    "    \"attribute((scale,type),5,linear).\",\n",
+    "    \"entity(facet,0,6).\",\n",
+    "    \"attribute((facet,channel),6,col).\",\n",
+    "    \"attribute((facet,field),6,temperature).\",\n",
+    "    \"attribute((facet,binning),6,10).\",\n",
+    "]\n",
     "spec = facts_to_dict(facts)\n",
     "pprint(spec)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 74,
+   "execution_count": 198,
    "metadata": {},
    "outputs": [
     {
@@ -1648,7 +1680,7 @@
     },
     {
      "data": {
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See the javascript console for the full traceback.`));\n    }\n\n    if(typeof define === \"function\" && define.amd) {\n      requirejs.config({paths});\n      require([\"vega-embed\"], displayChart, err => showError(`Error loading script: ${err.message}`));\n    } else {\n      maybeLoadScript(\"vega\", \"5\")\n        .then(() => maybeLoadScript(\"vega-lite\", \"4.17.0\"))\n        .then(() => maybeLoadScript(\"vega-embed\", \"6\"))\n        .catch(showError)\n        .then(() => displayChart(vegaEmbed));\n    }\n  })({\"config\": {\"view\": {\"continuousWidth\": 400, \"continuousHeight\": 300}}, \"data\": {\"name\": \"data-80b0e930866eee6a77413fd6e0890a78\"}, \"facet\": {\"column\": {\"bin\": {\"maxbins\": 10}, \"field\": \"temperature\", \"type\": \"quantitative\"}}, \"spec\": {\"mark\": \"point\", \"encoding\": {\"x\": {\"field\": \"condition\", \"scale\": {\"type\": \"ordinal\"}, \"type\": \"nominal\"}, \"y\": {\"field\": \"wind\", \"scale\": {\"type\": \"linear\"}, \"type\": 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35.46329445299181, \"condition\": \"sun\"}, {\"temperature\": 42.990310063528334, \"wind\": 4.767210553938305, \"precipitation\": 78.84896594785124, \"condition\": \"drizzle\"}, {\"temperature\": 12.78024257419457, \"wind\": 70.42789298007587, \"precipitation\": 32.19857853159736, \"condition\": \"rain\"}, {\"temperature\": 12.345464511586698, \"wind\": 96.37504245663669, \"precipitation\": 58.32326475918834, \"condition\": \"drizzle\"}, {\"temperature\": 16.615985139736694, \"wind\": 79.42654814203834, \"precipitation\": 13.002687080260278, \"condition\": \"drizzle\"}, {\"temperature\": 37.42489242698708, \"wind\": 61.345695045120095, \"precipitation\": 43.77564041090408, \"condition\": \"rain\"}, {\"temperature\": 4.4803758908315565, \"wind\": 49.77522034422004, \"precipitation\": 50.69600709811043, \"condition\": \"drizzle\"}, {\"temperature\": 24.097652039323982, \"wind\": 8.979384326640405, \"precipitation\": 30.641954593528485, \"condition\": \"sun\"}, {\"temperature\": 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68.9460480155243, \"precipitation\": 93.11546643206357, \"condition\": \"fog\"}, {\"temperature\": 27.7726958317102, \"wind\": 15.439482065514532, \"precipitation\": 5.293937143885552, \"condition\": \"sun\"}, {\"temperature\": 3.0547946822445873, \"wind\": 86.42755659056152, \"precipitation\": 2.624712873155066, \"condition\": \"rain\"}, {\"temperature\": 39.42369527658811, \"wind\": 47.39700920935881, \"precipitation\": 41.728060203985706, \"condition\": \"rain\"}, {\"temperature\": 31.616549252691705, \"wind\": 31.294073920356126, \"precipitation\": 61.66414511625905, \"condition\": \"snow\"}, {\"temperature\": 37.73472491414072, \"wind\": 56.11305268794269, \"precipitation\": 81.92111265208045, \"condition\": \"fog\"}, {\"temperature\": 29.412459474532355, \"wind\": 46.76189099995182, \"precipitation\": 32.17901910781431, \"condition\": \"snow\"}, {\"temperature\": -5.305474080741154, \"wind\": 16.51061166938045, \"precipitation\": 40.72674907868328, \"condition\": \"fog\"}, {\"temperature\": 28.248344335114005, \"wind\": 74.65204013977382, \"precipitation\": 8.992377726473755, \"condition\": \"drizzle\"}, {\"temperature\": 40.71245089747694, \"wind\": 60.52030820865206, \"precipitation\": 5.486289017174572, \"condition\": \"rain\"}, {\"temperature\": 1.2855687063133647, \"wind\": 47.74453362846665, \"precipitation\": 77.71039918592594, \"condition\": \"drizzle\"}, {\"temperature\": 13.997864573343104, \"wind\": 99.2063323267444, \"precipitation\": 14.897152160823302, \"condition\": \"drizzle\"}, {\"temperature\": 18.825549046465813, \"wind\": 96.7516586164724, \"precipitation\": 62.15480712924485, \"condition\": \"rain\"}, {\"temperature\": 17.102600135203243, \"wind\": 95.33201102579268, \"precipitation\": 1.76947633335095, \"condition\": \"rain\"}, {\"temperature\": 31.603226292108516, \"wind\": 80.1260277875885, \"precipitation\": 19.250819441340848, \"condition\": \"drizzle\"}, {\"temperature\": 7.272202684808242, \"wind\": 8.416568701596594, 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\"wind\": 89.27467266301889, \"precipitation\": 41.1955282025937, \"condition\": \"sun\"}, {\"temperature\": -5.848035132361012, \"wind\": 57.23792962073, \"precipitation\": 64.23162970775795, \"condition\": \"rain\"}, {\"temperature\": 0.6933169720006127, \"wind\": 72.76756692493736, \"precipitation\": 62.223235261304524, \"condition\": \"drizzle\"}]}}, {\"mode\": \"vega-lite\"});\n</script>",
+      "text/html": "\n<div id=\"altair-viz-8687013e82ad4a8d977d030f432b34eb\"></div>\n<script type=\"text/javascript\">\n  var VEGA_DEBUG = (typeof VEGA_DEBUG == \"undefined\") ? {} : VEGA_DEBUG;\n  (function(spec, embedOpt){\n    let outputDiv = document.currentScript.previousElementSibling;\n    if (outputDiv.id !== \"altair-viz-8687013e82ad4a8d977d030f432b34eb\") {\n      outputDiv = document.getElementById(\"altair-viz-8687013e82ad4a8d977d030f432b34eb\");\n    }\n    const paths = {\n      \"vega\": \"https://cdn.jsdelivr.net/npm//vega@5?noext\",\n      \"vega-lib\": \"https://cdn.jsdelivr.net/npm//vega-lib?noext\",\n      \"vega-lite\": \"https://cdn.jsdelivr.net/npm//vega-lite@4.17.0?noext\",\n      \"vega-embed\": \"https://cdn.jsdelivr.net/npm//vega-embed@6?noext\",\n    };\n\n    function maybeLoadScript(lib, version) {\n      var key = `${lib.replace(\"-\", \"\")}_version`;\n      return (VEGA_DEBUG[key] == version) ?\n        Promise.resolve(paths[lib]) :\n        new Promise(function(resolve, reject) {\n          var s = document.createElement('script');\n          document.getElementsByTagName(\"head\")[0].appendChild(s);\n          s.async = true;\n          s.onload = () => {\n            VEGA_DEBUG[key] = version;\n            return resolve(paths[lib]);\n          };\n          s.onerror = () => reject(`Error loading script: ${paths[lib]}`);\n          s.src = paths[lib];\n        });\n    }\n\n    function showError(err) {\n      outputDiv.innerHTML = `<div class=\"error\" style=\"color:red;\">${err}</div>`;\n      throw err;\n    }\n\n    function displayChart(vegaEmbed) {\n      vegaEmbed(outputDiv, spec, embedOpt)\n        .catch(err => showError(`Javascript Error: ${err.message}<br>This usually means there's a typo in your chart specification. See the javascript console for the full traceback.`));\n    }\n\n    if(typeof define === \"function\" && define.amd) {\n      requirejs.config({paths});\n      require([\"vega-embed\"], displayChart, err => showError(`Error loading script: ${err.message}`));\n    } else {\n      maybeLoadScript(\"vega\", \"5\")\n        .then(() => maybeLoadScript(\"vega-lite\", \"4.17.0\"))\n        .then(() => maybeLoadScript(\"vega-embed\", \"6\"))\n        .catch(showError)\n        .then(() => displayChart(vegaEmbed));\n    }\n  })({\"config\": {\"view\": {\"continuousWidth\": 400, \"continuousHeight\": 300}}, \"data\": {\"name\": \"data-62648c40dc40a84dcc0ff734b69b013d\"}, \"facet\": {\"column\": {\"bin\": {\"maxbins\": 10}, \"field\": \"temperature\", \"type\": \"quantitative\"}}, \"spec\": {\"mark\": \"point\", \"encoding\": {\"x\": {\"field\": \"condition\", \"scale\": {\"type\": \"ordinal\"}, \"type\": \"nominal\"}, \"y\": {\"field\": \"wind\", \"scale\": {\"type\": \"linear\"}, \"type\": \"quantitative\"}}}, \"$schema\": \"https://vega.github.io/schema/vega-lite/v4.17.0.json\", \"datasets\": {\"data-62648c40dc40a84dcc0ff734b69b013d\": [{\"temperature\": 15.949648750822519, \"wind\": 44.064474882832506, \"precipitation\": 39.57102111167698, \"condition\": \"sun\"}, {\"temperature\": 35.80410298761198, \"wind\": 57.347114406626844, \"precipitation\": 51.104157124186436, \"condition\": \"snow\"}, {\"temperature\": 34.39048786822457, \"wind\": 96.36048231593197, \"precipitation\": 40.96980376900311, \"condition\": \"drizzle\"}, {\"temperature\": 7.204885708939138, \"wind\": 25.146399378672125, \"precipitation\": 85.49017897658906, \"condition\": \"drizzle\"}, {\"temperature\": 19.55284015712061, \"wind\": 57.88396140686759, \"precipitation\": 73.6976786812617, \"condition\": \"sun\"}, {\"temperature\": 40.95867840323979, \"wind\": 18.240723526069058, \"precipitation\": 12.344374169099414, \"condition\": \"drizzle\"}, {\"temperature\": 8.037410652418316, \"wind\": 34.85524928680391, \"precipitation\": 47.39721336761291, \"condition\": \"drizzle\"}, {\"temperature\": -0.9238346314127046, \"wind\": 38.27888770381765, \"precipitation\": 49.084327395470694, \"condition\": \"snow\"}, {\"temperature\": 5.432162476529914, \"wind\": 26.375774021896824, \"precipitation\": 11.84973364714308, \"condition\": \"fog\"}, {\"temperature\": -0.5233284049906253, \"wind\": 20.341299498563536, \"precipitation\": 17.599397407184547, \"condition\": \"rain\"}, {\"temperature\": -0.32120652264539906, \"wind\": 56.70670804712174, \"precipitation\": 27.900390497052797, \"condition\": \"snow\"}, {\"temperature\": -5.8172209322540835, \"wind\": 7.922327363206739, \"precipitation\": 58.97450879694346, \"condition\": \"sun\"}, {\"temperature\": 29.348029927183475, \"wind\": 42.36486641293023, \"precipitation\": 52.297851298205714, \"condition\": \"snow\"}, {\"temperature\": -3.170224211296139, \"wind\": 25.422063817654927, \"precipitation\": 75.95709912967573, \"condition\": \"sun\"}, {\"temperature\": 29.762058145832015, \"wind\": 60.50785926641081, \"precipitation\": 27.63426836016134, \"condition\": \"sun\"}, {\"temperature\": -2.4226248703646167, \"wind\": 71.82451957436714, \"precipitation\": 27.866577679535155, \"condition\": \"rain\"}, {\"temperature\": 27.72342502276807, \"wind\": 25.495165547172526, \"precipitation\": 56.952472897674525, \"condition\": \"rain\"}, {\"temperature\": 42.86155275131322, \"wind\": 64.07798840013274, \"precipitation\": 43.20732916361416, \"condition\": \"drizzle\"}, {\"temperature\": 17.672356545916294, \"wind\": 69.76681823406481, \"precipitation\": 4.878513449934685, \"condition\": \"snow\"}, {\"temperature\": 14.10656929258668, \"wind\": 57.176270850584096, \"precipitation\": 22.99874996214144, \"condition\": \"sun\"}, {\"temperature\": 13.738975343826219, \"wind\": 47.92233289336022, \"precipitation\": 14.35681797090771, \"condition\": \"drizzle\"}, {\"temperature\": 38.54857944378019, \"wind\": 71.3951998928714, \"precipitation\": 47.86763119099666, \"condition\": \"rain\"}, {\"temperature\": 35.41541728844566, \"wind\": 15.372466094026361, \"precipitation\": 10.140892669165568, \"condition\": \"drizzle\"}, {\"temperature\": 42.8109485726051, \"wind\": 19.292730074798236, \"precipitation\": 83.72184051359054, \"condition\": \"sun\"}, {\"temperature\": 5.541837860134734, \"wind\": 37.91528502390926, \"precipitation\": 1.806095907348293, \"condition\": \"rain\"}, {\"temperature\": 31.26072818540954, \"wind\": 25.613046818128893, \"precipitation\": 93.99993502991724, \"condition\": \"snow\"}, {\"temperature\": 12.652262480706526, \"wind\": 19.716955298970042, \"precipitation\": 4.277209571833773, \"condition\": \"snow\"}, {\"temperature\": 27.464734441100425, \"wind\": 18.45750848171699, \"precipitation\": 14.862245845341137, \"condition\": \"snow\"}, {\"temperature\": 39.17194283180486, \"wind\": 62.584966101983305, \"precipitation\": 61.90806088367137, \"condition\": \"drizzle\"}, {\"temperature\": 20.57556038458332, \"wind\": 6.979458445589614, \"precipitation\": 26.20161503090155, \"condition\": \"fog\"}, {\"temperature\": 43.4376707328582, \"wind\": 91.72880025636312, \"precipitation\": 49.92669754392897, \"condition\": \"rain\"}, {\"temperature\": 37.392448305959796, \"wind\": 37.3453361137289, \"precipitation\": 79.01145543700821, \"condition\": \"rain\"}, {\"temperature\": -0.9740355983502056, \"wind\": 52.36556373635527, \"precipitation\": 30.452338583138562, \"condition\": \"fog\"}, {\"temperature\": 32.483093158374864, \"wind\": 88.0719315131664, \"precipitation\": 79.80325870322564, \"condition\": \"drizzle\"}, {\"temperature\": 35.06833977125789, \"wind\": 20.182255224013822, \"precipitation\": 68.32831560054159, \"condition\": \"drizzle\"}, {\"temperature\": 30.648689765220006, \"wind\": 70.20845647358497, \"precipitation\": 14.839756419615913, \"condition\": \"fog\"}, {\"temperature\": 17.568761783892697, \"wind\": 23.56533394038428, \"precipitation\": 33.43028312709272, \"condition\": \"fog\"}, {\"temperature\": 37.668328098899124, \"wind\": 25.752457285889363, \"precipitation\": 22.16206318576326, \"condition\": \"fog\"}, {\"temperature\": 5.014064033030415, \"wind\": 35.85304116185546, \"precipitation\": 50.430635606761776, \"condition\": \"drizzle\"}, {\"temperature\": 0.07199515030012726, \"wind\": 2.3037918503235444, \"precipitation\": 43.68655656674591, \"condition\": \"snow\"}, {\"temperature\": 5.954592424892175, \"wind\": 97.51084981729826, \"precipitation\": 18.937945167300562, \"condition\": \"fog\"}, {\"temperature\": 30.328519543203832, \"wind\": 11.124122490003696, \"precipitation\": 16.09587268986017, \"condition\": \"rain\"}, {\"temperature\": 14.46236976140856, \"wind\": 51.39244007969178, \"precipitation\": 51.52316459464377, \"condition\": \"fog\"}, {\"temperature\": 9.396286885496181, \"wind\": 14.413632366424933, \"precipitation\": 58.34025135533383, \"condition\": \"drizzle\"}, {\"temperature\": -7.883075294840844, \"wind\": 98.24018815877206, \"precipitation\": 51.405831276908884, \"condition\": \"snow\"}, {\"temperature\": 36.853296493232534, \"wind\": 17.44230067062308, \"precipitation\": 55.91312117168676, \"condition\": \"drizzle\"}, {\"temperature\": -9.582596783874624, \"wind\": 23.835535427130438, \"precipitation\": 61.605688998244446, \"condition\": \"fog\"}, {\"temperature\": -9.419128745924892, \"wind\": 53.25395558360789, \"precipitation\": 78.4515605013817, \"condition\": \"sun\"}, {\"temperature\": 4.571583314676532, \"wind\": 9.068613866100073, \"precipitation\": 42.448264608376526, \"condition\": \"rain\"}, {\"temperature\": 6.6203336157740615, \"wind\": 35.87691221835703, \"precipitation\": 64.98980696659649, \"condition\": \"rain\"}, {\"temperature\": 20.627672555392106, \"wind\": 28.946823430475742, \"precipitation\": 14.301584887467733, \"condition\": \"rain\"}, {\"temperature\": -9.583736731217567, \"wind\": 83.64814422156614, \"precipitation\": 35.873227198260004, \"condition\": \"snow\"}, {\"temperature\": 11.018260277272166, \"wind\": 82.98059861355699, \"precipitation\": 67.52390799343073, \"condition\": \"drizzle\"}, {\"temperature\": 5.411451095385809, \"wind\": 21.05653192591779, \"precipitation\": 98.10920750481597, \"condition\": \"fog\"}, {\"temperature\": 2.807402352777551, \"wind\": 40.81431754466085, \"precipitation\": 17.10555449196962, \"condition\": \"drizzle\"}, {\"temperature\": 33.60928142306782, \"wind\": 68.86862385408263, \"precipitation\": 1.7511520670655312, \"condition\": \"drizzle\"}, {\"temperature\": -3.7305842295491463, \"wind\": 22.99270590580842, \"precipitation\": 20.45024425044729, \"condition\": \"sun\"}, {\"temperature\": 38.88636288200788, \"wind\": 4.451268770649408, \"precipitation\": 50.18581381273084, \"condition\": \"snow\"}, {\"temperature\": 30.677916880360065, \"wind\": 57.58927095398997, \"precipitation\": 3.882294040985468, \"condition\": \"sun\"}, {\"temperature\": 20.936747003011536, \"wind\": 86.15890903839221, \"precipitation\": 84.64626055952643, \"condition\": \"sun\"}, {\"temperature\": 37.960508459665974, \"wind\": 83.22348385800635, \"precipitation\": 78.09579123477448, \"condition\": \"sun\"}, {\"temperature\": 2.789340992140385, \"wind\": 5.604841844996544, \"precipitation\": 64.23176719571818, \"condition\": \"rain\"}, {\"temperature\": -7.362921707472104, \"wind\": 57.37740217449133, \"precipitation\": 18.499742279296438, \"condition\": \"sun\"}, {\"temperature\": 1.1912189059593281, \"wind\": 46.52929788933954, \"precipitation\": 56.223732701756326, \"condition\": \"rain\"}, {\"temperature\": 5.601287545202137, \"wind\": 10.557820768094484, \"precipitation\": 10.005361911795385, \"condition\": \"sun\"}, {\"temperature\": 38.06145401149945, \"wind\": 40.55588658579815, \"precipitation\": 18.57864165136399, \"condition\": \"rain\"}, {\"temperature\": 10.003338415782952, \"wind\": 0.38143550979561347, \"precipitation\": 3.4323593600883995, \"condition\": \"snow\"}, {\"temperature\": 35.51840784136351, \"wind\": 85.38213169679159, \"precipitation\": 72.28024508142481, \"condition\": \"rain\"}, {\"temperature\": 42.22464006089062, \"wind\": 21.90245982426261, \"precipitation\": 64.4540475166047, \"condition\": \"snow\"}, {\"temperature\": 42.62614276410388, \"wind\": 16.596731146807365, \"precipitation\": 85.31723680641925, \"condition\": \"sun\"}, {\"temperature\": 4.666633193701054, \"wind\": 13.9068281587152, \"precipitation\": 87.48180339020342, \"condition\": \"drizzle\"}, {\"temperature\": 16.15426117162615, \"wind\": 38.00342325742586, \"precipitation\": 47.264072847267016, \"condition\": \"rain\"}, {\"temperature\": 15.032591880472172, \"wind\": 86.42884715473586, \"precipitation\": 81.69554228509587, \"condition\": \"rain\"}, {\"temperature\": 35.19149371217065, \"wind\": 72.5074270480888, \"precipitation\": 22.443215096530544, \"condition\": \"sun\"}, {\"temperature\": 26.84120821812121, \"wind\": 83.91441221303555, \"precipitation\": 63.11915666511897, \"condition\": \"drizzle\"}, {\"temperature\": 34.88005063805122, \"wind\": 45.33004448381994, \"precipitation\": 0.9935886811615613, \"condition\": \"rain\"}, {\"temperature\": 41.376840349386185, \"wind\": 7.544840957817378, \"precipitation\": 54.70235300254609, \"condition\": \"snow\"}, {\"temperature\": 36.960725847409456, \"wind\": 49.46574838149229, \"precipitation\": 85.47567556668297, \"condition\": \"snow\"}, {\"temperature\": 14.586289413415074, \"wind\": 4.489700154671472, \"precipitation\": 10.31362572720238, \"condition\": \"sun\"}, {\"temperature\": 20.04343950622185, \"wind\": 66.32817964057357, \"precipitation\": 74.44590348494177, \"condition\": \"sun\"}, {\"temperature\": 25.469560172224703, \"wind\": 82.06241734640489, \"precipitation\": 61.201009993418275, \"condition\": \"rain\"}, {\"temperature\": 20.070995853722245, \"wind\": 46.445227996549974, \"precipitation\": 53.59556892779981, \"condition\": \"snow\"}, {\"temperature\": 5.685018294722338, \"wind\": 58.17077525039538, \"precipitation\": 31.236078403128474, \"condition\": \"snow\"}, {\"temperature\": 42.487483009401764, \"wind\": 71.08000859923487, \"precipitation\": 61.47201457950021, \"condition\": \"rain\"}, {\"temperature\": -7.079256299328551, \"wind\": 27.004309009604967, \"precipitation\": 19.794263832693815, \"condition\": \"rain\"}, {\"temperature\": -5.045047126960084, \"wind\": 88.93771732732128, \"precipitation\": 99.50453536234512, \"condition\": \"fog\"}, {\"temperature\": 25.4533582484732, \"wind\": 96.38774772376792, \"precipitation\": 69.85460214191481, \"condition\": \"rain\"}, {\"temperature\": 22.955919291252926, \"wind\": 88.48558780603962, \"precipitation\": 40.268588772168876, \"condition\": \"snow\"}, {\"temperature\": 27.507453592914565, \"wind\": 29.838439613656075, \"precipitation\": 27.845875256677367, \"condition\": \"fog\"}, {\"temperature\": -6.870451234225997, \"wind\": 54.90225410574824, \"precipitation\": 29.74026895430255, \"condition\": \"snow\"}, {\"temperature\": 41.66879121402853, \"wind\": 21.388390668516323, \"precipitation\": 23.449697200445573, \"condition\": \"sun\"}, {\"temperature\": 15.838369384298645, \"wind\": 14.553164438107524, \"precipitation\": 78.9078385630916, \"condition\": \"sun\"}, {\"temperature\": 13.794652090601591, \"wind\": 31.915985033787553, \"precipitation\": 65.39000850075058, \"condition\": \"fog\"}, {\"temperature\": -0.24791853446323842, \"wind\": 16.053122209894966, \"precipitation\": 26.219628309452382, \"condition\": \"sun\"}, {\"temperature\": 20.625989859426074, \"wind\": 15.348759697534453, \"precipitation\": 94.2004787208339, \"condition\": \"rain\"}, {\"temperature\": 17.22130558630064, \"wind\": 61.15140884010469, \"precipitation\": 27.79385279217691, \"condition\": \"snow\"}, {\"temperature\": 15.342628921870396, \"wind\": 52.15522860596962, \"precipitation\": 44.258578235337545, \"condition\": \"drizzle\"}, {\"temperature\": 43.28838980732394, \"wind\": 30.617573960681387, \"precipitation\": 90.705784312922, \"condition\": \"drizzle\"}, {\"temperature\": 31.752614189233682, \"wind\": 54.002536771242745, \"precipitation\": 98.5871144935895, \"condition\": \"drizzle\"}, {\"temperature\": 3.5475184692079793, \"wind\": 96.91039458765935, \"precipitation\": 50.00054618320339, \"condition\": \"fog\"}]}}, {\"mode\": \"vega-lite\"});\n</script>",
       "text/plain": "alt.FacetChart(...)"
      },
      "metadata": {},
@@ -1658,11 +1690,11 @@
    "source": [
     "base = alt.Chart(df)\n",
     "point = base.mark_point().encode(\n",
-    "    x=alt.X(field='condition', type='nominal', scale=alt.Scale(type='ordinal')),\n",
-    "    y=alt.Y(field='wind', type='quantitative', scale=alt.Scale(type='linear'))\n",
+    "    x=alt.X(field=\"condition\", type=\"nominal\", scale=alt.Scale(type=\"ordinal\")),\n",
+    "    y=alt.Y(field=\"wind\", type=\"quantitative\", scale=alt.Scale(type=\"linear\")),\n",
     ")\n",
     "facet = point.facet(\n",
-    "    column=alt.Column(field='temperature', type='quantitative', bin=alt.Bin(maxbins=10))\n",
+    "    column=alt.Column(field=\"temperature\", type=\"quantitative\", bin=alt.Bin(maxbins=10))\n",
     ")\n",
     "display_chart(facet)"
    ]
@@ -1683,7 +1715,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 75,
+   "execution_count": 199,
    "metadata": {},
    "outputs": [
     {
@@ -1705,46 +1737,48 @@
     }
    ],
    "source": [
-    "facts = ['attribute(number_rows,root,100).',\n",
-    " 'entity(field,root,temperature).',\n",
-    " 'attribute((field,name),temperature,temperature).',\n",
-    " 'attribute((field,type),temperature,number).',\n",
-    " 'entity(field,root,condition).',\n",
-    " 'attribute((field,name),condition,condition).',\n",
-    " 'attribute((field,type),condition,string).',\n",
-    " 'entity(view,root,0).',\n",
-    " 'entity(mark,0,1).',\n",
-    " 'attribute((mark,type),1,tick).',\n",
-    " 'entity(encoding,1,2).',\n",
-    " 'attribute((encoding,channel),2,y).',\n",
-    " 'attribute((encoding,field),2,temperature).',\n",
-    " 'entity(scale,0,3).',\n",
-    " 'attribute((scale,channel),3,y).',\n",
-    " 'attribute((scale,type),3,linear).',\n",
-    " 'attribute((scale,zero),3,true).',\n",
-    " 'entity(view,root,4).',\n",
-    " 'entity(mark,4,5).',\n",
-    " 'attribute((mark,type),5,bar).',\n",
-    " 'entity(encoding,5,6).',\n",
-    " 'attribute((encoding,channel),6,x).',\n",
-    " 'attribute((encoding,field),6,condition).',\n",
-    " 'entity(encoding,5,7).',\n",
-    " 'attribute((encoding,channel),7,y).',\n",
-    " 'attribute((encoding,aggregate),7,count).',\n",
-    " 'entity(scale,4,8).',\n",
-    " 'attribute((scale,channel),8,x).',\n",
-    " 'attribute((scale,type),8,ordinal).',\n",
-    " 'entity(scale,4,9).',\n",
-    " 'attribute((scale,channel),9,y).',\n",
-    " 'attribute((scale,type),9,linear).',\n",
-    " 'attribute((scale,zero),9,true).']\n",
+    "facts = [\n",
+    "    \"attribute(number_rows,root,100).\",\n",
+    "    \"entity(field,root,temperature).\",\n",
+    "    \"attribute((field,name),temperature,temperature).\",\n",
+    "    \"attribute((field,type),temperature,number).\",\n",
+    "    \"entity(field,root,condition).\",\n",
+    "    \"attribute((field,name),condition,condition).\",\n",
+    "    \"attribute((field,type),condition,string).\",\n",
+    "    \"entity(view,root,0).\",\n",
+    "    \"entity(mark,0,1).\",\n",
+    "    \"attribute((mark,type),1,tick).\",\n",
+    "    \"entity(encoding,1,2).\",\n",
+    "    \"attribute((encoding,channel),2,y).\",\n",
+    "    \"attribute((encoding,field),2,temperature).\",\n",
+    "    \"entity(scale,0,3).\",\n",
+    "    \"attribute((scale,channel),3,y).\",\n",
+    "    \"attribute((scale,type),3,linear).\",\n",
+    "    \"attribute((scale,zero),3,true).\",\n",
+    "    \"entity(view,root,4).\",\n",
+    "    \"entity(mark,4,5).\",\n",
+    "    \"attribute((mark,type),5,bar).\",\n",
+    "    \"entity(encoding,5,6).\",\n",
+    "    \"attribute((encoding,channel),6,x).\",\n",
+    "    \"attribute((encoding,field),6,condition).\",\n",
+    "    \"entity(encoding,5,7).\",\n",
+    "    \"attribute((encoding,channel),7,y).\",\n",
+    "    \"attribute((encoding,aggregate),7,count).\",\n",
+    "    \"entity(scale,4,8).\",\n",
+    "    \"attribute((scale,channel),8,x).\",\n",
+    "    \"attribute((scale,type),8,ordinal).\",\n",
+    "    \"entity(scale,4,9).\",\n",
+    "    \"attribute((scale,channel),9,y).\",\n",
+    "    \"attribute((scale,type),9,linear).\",\n",
+    "    \"attribute((scale,zero),9,true).\",\n",
+    "]\n",
     "spec = facts_to_dict(facts)\n",
     "pprint(spec)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 76,
+   "execution_count": 200,
    "metadata": {},
    "outputs": [
     {
@@ -1768,7 +1802,7 @@
     },
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      "data": {
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38.54857944378019, \"wind\": 71.3951998928714, \"precipitation\": 47.86763119099666, \"condition\": \"rain\"}, {\"temperature\": 35.41541728844566, \"wind\": 15.372466094026361, \"precipitation\": 10.140892669165568, \"condition\": \"drizzle\"}, {\"temperature\": 42.8109485726051, \"wind\": 19.292730074798236, \"precipitation\": 83.72184051359054, \"condition\": \"sun\"}, {\"temperature\": 5.541837860134734, \"wind\": 37.91528502390926, \"precipitation\": 1.806095907348293, \"condition\": \"rain\"}, {\"temperature\": 31.26072818540954, \"wind\": 25.613046818128893, \"precipitation\": 93.99993502991724, \"condition\": \"snow\"}, {\"temperature\": 12.652262480706526, \"wind\": 19.716955298970042, \"precipitation\": 4.277209571833773, \"condition\": \"snow\"}, {\"temperature\": 27.464734441100425, \"wind\": 18.45750848171699, \"precipitation\": 14.862245845341137, \"condition\": \"snow\"}, {\"temperature\": 39.17194283180486, \"wind\": 62.584966101983305, \"precipitation\": 61.90806088367137, \"condition\": \"drizzle\"}, {\"temperature\": 20.57556038458332, \"wind\": 6.979458445589614, \"precipitation\": 26.20161503090155, \"condition\": \"fog\"}, {\"temperature\": 43.4376707328582, \"wind\": 91.72880025636312, \"precipitation\": 49.92669754392897, \"condition\": \"rain\"}, {\"temperature\": 37.392448305959796, \"wind\": 37.3453361137289, \"precipitation\": 79.01145543700821, \"condition\": \"rain\"}, {\"temperature\": -0.9740355983502056, \"wind\": 52.36556373635527, \"precipitation\": 30.452338583138562, \"condition\": \"fog\"}, {\"temperature\": 32.483093158374864, \"wind\": 88.0719315131664, \"precipitation\": 79.80325870322564, \"condition\": \"drizzle\"}, {\"temperature\": 35.06833977125789, \"wind\": 20.182255224013822, \"precipitation\": 68.32831560054159, \"condition\": \"drizzle\"}, {\"temperature\": 30.648689765220006, \"wind\": 70.20845647358497, \"precipitation\": 14.839756419615913, \"condition\": \"fog\"}, {\"temperature\": 17.568761783892697, \"wind\": 23.56533394038428, \"precipitation\": 33.43028312709272, \"condition\": \"fog\"}, {\"temperature\": 37.668328098899124, \"wind\": 25.752457285889363, \"precipitation\": 22.16206318576326, \"condition\": \"fog\"}, {\"temperature\": 5.014064033030415, \"wind\": 35.85304116185546, \"precipitation\": 50.430635606761776, \"condition\": \"drizzle\"}, {\"temperature\": 0.07199515030012726, \"wind\": 2.3037918503235444, \"precipitation\": 43.68655656674591, \"condition\": \"snow\"}, {\"temperature\": 5.954592424892175, \"wind\": 97.51084981729826, \"precipitation\": 18.937945167300562, \"condition\": \"fog\"}, {\"temperature\": 30.328519543203832, \"wind\": 11.124122490003696, \"precipitation\": 16.09587268986017, \"condition\": \"rain\"}, {\"temperature\": 14.46236976140856, \"wind\": 51.39244007969178, \"precipitation\": 51.52316459464377, \"condition\": \"fog\"}, {\"temperature\": 9.396286885496181, \"wind\": 14.413632366424933, \"precipitation\": 58.34025135533383, \"condition\": \"drizzle\"}, {\"temperature\": -7.883075294840844, \"wind\": 98.24018815877206, \"precipitation\": 51.405831276908884, \"condition\": \"snow\"}, {\"temperature\": 36.853296493232534, \"wind\": 17.44230067062308, \"precipitation\": 55.91312117168676, \"condition\": \"drizzle\"}, {\"temperature\": -9.582596783874624, \"wind\": 23.835535427130438, \"precipitation\": 61.605688998244446, \"condition\": \"fog\"}, {\"temperature\": -9.419128745924892, \"wind\": 53.25395558360789, \"precipitation\": 78.4515605013817, \"condition\": \"sun\"}, {\"temperature\": 4.571583314676532, \"wind\": 9.068613866100073, \"precipitation\": 42.448264608376526, \"condition\": \"rain\"}, {\"temperature\": 6.6203336157740615, \"wind\": 35.87691221835703, \"precipitation\": 64.98980696659649, \"condition\": \"rain\"}, {\"temperature\": 20.627672555392106, \"wind\": 28.946823430475742, \"precipitation\": 14.301584887467733, \"condition\": \"rain\"}, {\"temperature\": -9.583736731217567, \"wind\": 83.64814422156614, \"precipitation\": 35.873227198260004, \"condition\": \"snow\"}, {\"temperature\": 11.018260277272166, \"wind\": 82.98059861355699, \"precipitation\": 67.52390799343073, \"condition\": \"drizzle\"}, {\"temperature\": 5.411451095385809, \"wind\": 21.05653192591779, \"precipitation\": 98.10920750481597, \"condition\": \"fog\"}, {\"temperature\": 2.807402352777551, \"wind\": 40.81431754466085, \"precipitation\": 17.10555449196962, \"condition\": \"drizzle\"}, {\"temperature\": 33.60928142306782, \"wind\": 68.86862385408263, \"precipitation\": 1.7511520670655312, \"condition\": \"drizzle\"}, {\"temperature\": -3.7305842295491463, \"wind\": 22.99270590580842, \"precipitation\": 20.45024425044729, \"condition\": \"sun\"}, {\"temperature\": 38.88636288200788, \"wind\": 4.451268770649408, \"precipitation\": 50.18581381273084, \"condition\": \"snow\"}, {\"temperature\": 30.677916880360065, \"wind\": 57.58927095398997, \"precipitation\": 3.882294040985468, \"condition\": \"sun\"}, {\"temperature\": 20.936747003011536, \"wind\": 86.15890903839221, \"precipitation\": 84.64626055952643, \"condition\": \"sun\"}, {\"temperature\": 37.960508459665974, \"wind\": 83.22348385800635, \"precipitation\": 78.09579123477448, \"condition\": \"sun\"}, {\"temperature\": 2.789340992140385, \"wind\": 5.604841844996544, \"precipitation\": 64.23176719571818, \"condition\": \"rain\"}, {\"temperature\": -7.362921707472104, \"wind\": 57.37740217449133, \"precipitation\": 18.499742279296438, \"condition\": \"sun\"}, {\"temperature\": 1.1912189059593281, \"wind\": 46.52929788933954, \"precipitation\": 56.223732701756326, \"condition\": \"rain\"}, {\"temperature\": 5.601287545202137, \"wind\": 10.557820768094484, \"precipitation\": 10.005361911795385, \"condition\": \"sun\"}, {\"temperature\": 38.06145401149945, \"wind\": 40.55588658579815, \"precipitation\": 18.57864165136399, \"condition\": \"rain\"}, {\"temperature\": 10.003338415782952, \"wind\": 0.38143550979561347, \"precipitation\": 3.4323593600883995, \"condition\": \"snow\"}, {\"temperature\": 35.51840784136351, \"wind\": 85.38213169679159, \"precipitation\": 72.28024508142481, \"condition\": \"rain\"}, {\"temperature\": 42.22464006089062, \"wind\": 21.90245982426261, \"precipitation\": 64.4540475166047, \"condition\": \"snow\"}, {\"temperature\": 42.62614276410388, \"wind\": 16.596731146807365, \"precipitation\": 85.31723680641925, \"condition\": \"sun\"}, {\"temperature\": 4.666633193701054, \"wind\": 13.9068281587152, \"precipitation\": 87.48180339020342, \"condition\": \"drizzle\"}, {\"temperature\": 16.15426117162615, \"wind\": 38.00342325742586, \"precipitation\": 47.264072847267016, \"condition\": \"rain\"}, {\"temperature\": 15.032591880472172, \"wind\": 86.42884715473586, \"precipitation\": 81.69554228509587, \"condition\": \"rain\"}, {\"temperature\": 35.19149371217065, \"wind\": 72.5074270480888, \"precipitation\": 22.443215096530544, \"condition\": \"sun\"}, {\"temperature\": 26.84120821812121, \"wind\": 83.91441221303555, \"precipitation\": 63.11915666511897, \"condition\": \"drizzle\"}, {\"temperature\": 34.88005063805122, \"wind\": 45.33004448381994, \"precipitation\": 0.9935886811615613, \"condition\": \"rain\"}, {\"temperature\": 41.376840349386185, \"wind\": 7.544840957817378, \"precipitation\": 54.70235300254609, \"condition\": \"snow\"}, {\"temperature\": 36.960725847409456, \"wind\": 49.46574838149229, \"precipitation\": 85.47567556668297, \"condition\": \"snow\"}, {\"temperature\": 14.586289413415074, \"wind\": 4.489700154671472, \"precipitation\": 10.31362572720238, \"condition\": \"sun\"}, {\"temperature\": 20.04343950622185, \"wind\": 66.32817964057357, \"precipitation\": 74.44590348494177, \"condition\": \"sun\"}, {\"temperature\": 25.469560172224703, \"wind\": 82.06241734640489, \"precipitation\": 61.201009993418275, \"condition\": \"rain\"}, {\"temperature\": 20.070995853722245, \"wind\": 46.445227996549974, \"precipitation\": 53.59556892779981, \"condition\": \"snow\"}, {\"temperature\": 5.685018294722338, \"wind\": 58.17077525039538, \"precipitation\": 31.236078403128474, \"condition\": \"snow\"}, {\"temperature\": 42.487483009401764, \"wind\": 71.08000859923487, \"precipitation\": 61.47201457950021, \"condition\": \"rain\"}, {\"temperature\": -7.079256299328551, \"wind\": 27.004309009604967, \"precipitation\": 19.794263832693815, \"condition\": \"rain\"}, {\"temperature\": -5.045047126960084, \"wind\": 88.93771732732128, \"precipitation\": 99.50453536234512, \"condition\": \"fog\"}, {\"temperature\": 25.4533582484732, \"wind\": 96.38774772376792, \"precipitation\": 69.85460214191481, \"condition\": \"rain\"}, {\"temperature\": 22.955919291252926, \"wind\": 88.48558780603962, \"precipitation\": 40.268588772168876, \"condition\": \"snow\"}, {\"temperature\": 27.507453592914565, \"wind\": 29.838439613656075, \"precipitation\": 27.845875256677367, \"condition\": \"fog\"}, {\"temperature\": -6.870451234225997, \"wind\": 54.90225410574824, \"precipitation\": 29.74026895430255, \"condition\": \"snow\"}, {\"temperature\": 41.66879121402853, \"wind\": 21.388390668516323, \"precipitation\": 23.449697200445573, \"condition\": \"sun\"}, {\"temperature\": 15.838369384298645, \"wind\": 14.553164438107524, \"precipitation\": 78.9078385630916, \"condition\": \"sun\"}, {\"temperature\": 13.794652090601591, \"wind\": 31.915985033787553, \"precipitation\": 65.39000850075058, \"condition\": \"fog\"}, {\"temperature\": -0.24791853446323842, \"wind\": 16.053122209894966, \"precipitation\": 26.219628309452382, \"condition\": \"sun\"}, {\"temperature\": 20.625989859426074, \"wind\": 15.348759697534453, \"precipitation\": 94.2004787208339, \"condition\": \"rain\"}, {\"temperature\": 17.22130558630064, \"wind\": 61.15140884010469, \"precipitation\": 27.79385279217691, \"condition\": \"snow\"}, {\"temperature\": 15.342628921870396, \"wind\": 52.15522860596962, \"precipitation\": 44.258578235337545, \"condition\": \"drizzle\"}, {\"temperature\": 43.28838980732394, \"wind\": 30.617573960681387, \"precipitation\": 90.705784312922, \"condition\": \"drizzle\"}, {\"temperature\": 31.752614189233682, \"wind\": 54.002536771242745, \"precipitation\": 98.5871144935895, \"condition\": \"drizzle\"}, {\"temperature\": 3.5475184692079793, \"wind\": 96.91039458765935, \"precipitation\": 50.00054618320339, \"condition\": \"fog\"}]}}, {\"mode\": \"vega-lite\"});\n</script>",
       "text/plain": "alt.HConcatChart(...)"
      },
      "metadata": {},
@@ -1779,13 +1813,17 @@
     "base = alt.Chart(df)\n",
     "\n",
     "tick = base.mark_tick().encode(\n",
-    "    y=alt.Y(field='temperature', type='quantitative', scale=alt.Scale(type='linear', zero=True))\n",
+    "    y=alt.Y(\n",
+    "        field=\"temperature\",\n",
+    "        type=\"quantitative\",\n",
+    "        scale=alt.Scale(type=\"linear\", zero=True),\n",
+    "    )\n",
     ")\n",
     "view_1 = tick\n",
     "\n",
     "bar = base.mark_bar().encode(\n",
-    "    x=alt.X(field='condition', type='nominal', scale=alt.Scale(type='ordinal')),\n",
-    "    y=alt.Y(field='condition', type='nominal', aggregate='count')\n",
+    "    x=alt.X(field=\"condition\", type=\"nominal\", scale=alt.Scale(type=\"ordinal\")),\n",
+    "    y=alt.Y(field=\"condition\", type=\"nominal\", aggregate=\"count\"),\n",
     ")\n",
     "view_2 = bar\n",
     "\n",
@@ -1801,7 +1839,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 77,
+   "execution_count": 201,
    "metadata": {},
    "outputs": [
     {
@@ -1824,43 +1862,45 @@
     }
    ],
    "source": [
-    "facts = ['attribute(number_rows,root,100).',\n",
-    " 'entity(field,root,temperature).',\n",
-    " 'attribute((field,name),temperature,temperature).',\n",
-    " 'attribute((field,type),temperature,number).',\n",
-    " 'entity(field,root,condition).',\n",
-    " 'attribute((field,name),condition,condition).',\n",
-    " 'attribute((field,type),condition,string).',\n",
-    " 'entity(view,root,0).',\n",
-    " 'entity(mark,0,1).',\n",
-    " 'attribute((mark,type),1,tick).',\n",
-    " 'entity(encoding,1,2).',\n",
-    " 'attribute((encoding,channel),2,y).',\n",
-    " 'attribute((encoding,field),2,temperature).',\n",
-    " 'entity(view,root,3).',\n",
-    " 'entity(mark,3,4).',\n",
-    " 'attribute((mark,type),4,bar).',\n",
-    " 'entity(encoding,4,5).',\n",
-    " 'attribute((encoding,channel),5,y).',\n",
-    " 'attribute((encoding,field),5,temperature).',\n",
-    " 'attribute((encoding,aggregate),5,mean).',\n",
-    " 'entity(encoding,4,6).',\n",
-    " 'attribute((encoding,channel),6,x).',\n",
-    " 'attribute((encoding,field),6,condition).',\n",
-    " 'entity(scale,3,7).',\n",
-    " 'attribute((scale,channel),7,x).',\n",
-    " 'attribute((scale,type),7,ordinal).',\n",
-    " 'entity(scale,root,8).',\n",
-    " 'attribute((scale,channel),8,y).',\n",
-    " 'attribute((scale,type),8,linear).',\n",
-    " 'attribute((scale,zero),8,true).']\n",
+    "facts = [\n",
+    "    \"attribute(number_rows,root,100).\",\n",
+    "    \"entity(field,root,temperature).\",\n",
+    "    \"attribute((field,name),temperature,temperature).\",\n",
+    "    \"attribute((field,type),temperature,number).\",\n",
+    "    \"entity(field,root,condition).\",\n",
+    "    \"attribute((field,name),condition,condition).\",\n",
+    "    \"attribute((field,type),condition,string).\",\n",
+    "    \"entity(view,root,0).\",\n",
+    "    \"entity(mark,0,1).\",\n",
+    "    \"attribute((mark,type),1,tick).\",\n",
+    "    \"entity(encoding,1,2).\",\n",
+    "    \"attribute((encoding,channel),2,y).\",\n",
+    "    \"attribute((encoding,field),2,temperature).\",\n",
+    "    \"entity(view,root,3).\",\n",
+    "    \"entity(mark,3,4).\",\n",
+    "    \"attribute((mark,type),4,bar).\",\n",
+    "    \"entity(encoding,4,5).\",\n",
+    "    \"attribute((encoding,channel),5,y).\",\n",
+    "    \"attribute((encoding,field),5,temperature).\",\n",
+    "    \"attribute((encoding,aggregate),5,mean).\",\n",
+    "    \"entity(encoding,4,6).\",\n",
+    "    \"attribute((encoding,channel),6,x).\",\n",
+    "    \"attribute((encoding,field),6,condition).\",\n",
+    "    \"entity(scale,3,7).\",\n",
+    "    \"attribute((scale,channel),7,x).\",\n",
+    "    \"attribute((scale,type),7,ordinal).\",\n",
+    "    \"entity(scale,root,8).\",\n",
+    "    \"attribute((scale,channel),8,y).\",\n",
+    "    \"attribute((scale,type),8,linear).\",\n",
+    "    \"attribute((scale,zero),8,true).\",\n",
+    "]\n",
     "spec = facts_to_dict(facts)\n",
     "pprint(spec)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 78,
+   "execution_count": 202,
    "metadata": {},
    "outputs": [
     {
@@ -1882,7 +1922,7 @@
     },
     {
      "data": {
-      "text/html": "\n<div id=\"altair-viz-5acbbb91eff4488ab47262010ba2ba97\"></div>\n<script type=\"text/javascript\">\n  var VEGA_DEBUG = (typeof VEGA_DEBUG == \"undefined\") ? {} : VEGA_DEBUG;\n  (function(spec, embedOpt){\n    let outputDiv = document.currentScript.previousElementSibling;\n    if (outputDiv.id !== \"altair-viz-5acbbb91eff4488ab47262010ba2ba97\") {\n      outputDiv = document.getElementById(\"altair-viz-5acbbb91eff4488ab47262010ba2ba97\");\n    }\n    const paths = {\n      \"vega\": \"https://cdn.jsdelivr.net/npm//vega@5?noext\",\n      \"vega-lib\": \"https://cdn.jsdelivr.net/npm//vega-lib?noext\",\n      \"vega-lite\": \"https://cdn.jsdelivr.net/npm//vega-lite@4.17.0?noext\",\n      \"vega-embed\": \"https://cdn.jsdelivr.net/npm//vega-embed@6?noext\",\n    };\n\n    function maybeLoadScript(lib, version) {\n      var key = `${lib.replace(\"-\", \"\")}_version`;\n      return (VEGA_DEBUG[key] == version) ?\n        Promise.resolve(paths[lib]) :\n        new Promise(function(resolve, reject) {\n          var s = document.createElement('script');\n          document.getElementsByTagName(\"head\")[0].appendChild(s);\n          s.async = true;\n          s.onload = () => {\n            VEGA_DEBUG[key] = version;\n            return resolve(paths[lib]);\n          };\n          s.onerror = () => reject(`Error loading script: ${paths[lib]}`);\n          s.src = paths[lib];\n        });\n    }\n\n    function showError(err) {\n      outputDiv.innerHTML = `<div class=\"error\" style=\"color:red;\">${err}</div>`;\n      throw err;\n    }\n\n    function displayChart(vegaEmbed) {\n      vegaEmbed(outputDiv, spec, embedOpt)\n        .catch(err => showError(`Javascript Error: ${err.message}<br>This usually means there's a typo in your chart specification. See the javascript console for the full traceback.`));\n    }\n\n    if(typeof define === \"function\" && define.amd) {\n      requirejs.config({paths});\n      require([\"vega-embed\"], displayChart, err => showError(`Error loading script: ${err.message}`));\n    } else {\n      maybeLoadScript(\"vega\", \"5\")\n        .then(() => maybeLoadScript(\"vega-lite\", \"4.17.0\"))\n        .then(() => maybeLoadScript(\"vega-embed\", \"6\"))\n        .catch(showError)\n        .then(() => displayChart(vegaEmbed));\n    }\n  })({\"config\": {\"view\": {\"continuousWidth\": 400, \"continuousHeight\": 300}}, \"hconcat\": [{\"mark\": \"tick\", \"encoding\": {\"y\": {\"field\": \"temperature\", \"type\": \"quantitative\"}}}, {\"mark\": \"bar\", \"encoding\": {\"x\": {\"field\": \"condition\", \"type\": \"nominal\"}, \"y\": {\"aggregate\": \"mean\", \"field\": \"temperature\", \"type\": \"quantitative\"}}}], \"data\": {\"name\": \"data-80b0e930866eee6a77413fd6e0890a78\"}, \"resolve\": {\"scale\": 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{\"temperature\": -7.883075294840844, \"wind\": 98.24018815877206, \"precipitation\": 51.405831276908884, \"condition\": \"snow\"}, {\"temperature\": 36.853296493232534, \"wind\": 17.44230067062308, \"precipitation\": 55.91312117168676, \"condition\": \"drizzle\"}, {\"temperature\": -9.582596783874624, \"wind\": 23.835535427130438, \"precipitation\": 61.605688998244446, \"condition\": \"fog\"}, {\"temperature\": -9.419128745924892, \"wind\": 53.25395558360789, \"precipitation\": 78.4515605013817, \"condition\": \"sun\"}, {\"temperature\": 4.571583314676532, \"wind\": 9.068613866100073, \"precipitation\": 42.448264608376526, \"condition\": \"rain\"}, {\"temperature\": 6.6203336157740615, \"wind\": 35.87691221835703, \"precipitation\": 64.98980696659649, \"condition\": \"rain\"}, {\"temperature\": 20.627672555392106, \"wind\": 28.946823430475742, \"precipitation\": 14.301584887467733, \"condition\": \"rain\"}, {\"temperature\": -9.583736731217567, \"wind\": 83.64814422156614, \"precipitation\": 35.873227198260004, \"condition\": \"snow\"}, {\"temperature\": 11.018260277272166, \"wind\": 82.98059861355699, \"precipitation\": 67.52390799343073, \"condition\": \"drizzle\"}, {\"temperature\": 5.411451095385809, \"wind\": 21.05653192591779, \"precipitation\": 98.10920750481597, \"condition\": \"fog\"}, {\"temperature\": 2.807402352777551, \"wind\": 40.81431754466085, \"precipitation\": 17.10555449196962, \"condition\": \"drizzle\"}, {\"temperature\": 33.60928142306782, \"wind\": 68.86862385408263, \"precipitation\": 1.7511520670655312, \"condition\": \"drizzle\"}, {\"temperature\": -3.7305842295491463, \"wind\": 22.99270590580842, \"precipitation\": 20.45024425044729, \"condition\": \"sun\"}, {\"temperature\": 38.88636288200788, \"wind\": 4.451268770649408, \"precipitation\": 50.18581381273084, \"condition\": \"snow\"}, {\"temperature\": 30.677916880360065, \"wind\": 57.58927095398997, \"precipitation\": 3.882294040985468, \"condition\": \"sun\"}, {\"temperature\": 20.936747003011536, \"wind\": 86.15890903839221, \"precipitation\": 84.64626055952643, \"condition\": \"sun\"}, {\"temperature\": 37.960508459665974, \"wind\": 83.22348385800635, \"precipitation\": 78.09579123477448, \"condition\": \"sun\"}, {\"temperature\": 2.789340992140385, \"wind\": 5.604841844996544, \"precipitation\": 64.23176719571818, \"condition\": \"rain\"}, {\"temperature\": -7.362921707472104, \"wind\": 57.37740217449133, \"precipitation\": 18.499742279296438, \"condition\": \"sun\"}, {\"temperature\": 1.1912189059593281, \"wind\": 46.52929788933954, \"precipitation\": 56.223732701756326, \"condition\": \"rain\"}, {\"temperature\": 5.601287545202137, \"wind\": 10.557820768094484, \"precipitation\": 10.005361911795385, \"condition\": \"sun\"}, {\"temperature\": 38.06145401149945, \"wind\": 40.55588658579815, \"precipitation\": 18.57864165136399, \"condition\": \"rain\"}, {\"temperature\": 10.003338415782952, \"wind\": 0.38143550979561347, \"precipitation\": 3.4323593600883995, \"condition\": \"snow\"}, {\"temperature\": 35.51840784136351, \"wind\": 85.38213169679159, \"precipitation\": 72.28024508142481, \"condition\": \"rain\"}, {\"temperature\": 42.22464006089062, \"wind\": 21.90245982426261, \"precipitation\": 64.4540475166047, \"condition\": \"snow\"}, {\"temperature\": 42.62614276410388, \"wind\": 16.596731146807365, \"precipitation\": 85.31723680641925, \"condition\": \"sun\"}, {\"temperature\": 4.666633193701054, \"wind\": 13.9068281587152, \"precipitation\": 87.48180339020342, \"condition\": \"drizzle\"}, {\"temperature\": 16.15426117162615, \"wind\": 38.00342325742586, \"precipitation\": 47.264072847267016, \"condition\": \"rain\"}, {\"temperature\": 15.032591880472172, \"wind\": 86.42884715473586, \"precipitation\": 81.69554228509587, \"condition\": \"rain\"}, {\"temperature\": 35.19149371217065, \"wind\": 72.5074270480888, \"precipitation\": 22.443215096530544, \"condition\": \"sun\"}, {\"temperature\": 26.84120821812121, \"wind\": 83.91441221303555, \"precipitation\": 63.11915666511897, \"condition\": \"drizzle\"}, {\"temperature\": 34.88005063805122, \"wind\": 45.33004448381994, \"precipitation\": 0.9935886811615613, \"condition\": \"rain\"}, {\"temperature\": 41.376840349386185, \"wind\": 7.544840957817378, \"precipitation\": 54.70235300254609, \"condition\": \"snow\"}, {\"temperature\": 36.960725847409456, \"wind\": 49.46574838149229, \"precipitation\": 85.47567556668297, \"condition\": \"snow\"}, {\"temperature\": 14.586289413415074, \"wind\": 4.489700154671472, \"precipitation\": 10.31362572720238, \"condition\": \"sun\"}, {\"temperature\": 20.04343950622185, \"wind\": 66.32817964057357, \"precipitation\": 74.44590348494177, \"condition\": \"sun\"}, {\"temperature\": 25.469560172224703, \"wind\": 82.06241734640489, \"precipitation\": 61.201009993418275, \"condition\": \"rain\"}, {\"temperature\": 20.070995853722245, \"wind\": 46.445227996549974, \"precipitation\": 53.59556892779981, \"condition\": \"snow\"}, {\"temperature\": 5.685018294722338, \"wind\": 58.17077525039538, \"precipitation\": 31.236078403128474, \"condition\": \"snow\"}, {\"temperature\": 42.487483009401764, \"wind\": 71.08000859923487, \"precipitation\": 61.47201457950021, \"condition\": \"rain\"}, {\"temperature\": -7.079256299328551, \"wind\": 27.004309009604967, \"precipitation\": 19.794263832693815, \"condition\": \"rain\"}, {\"temperature\": -5.045047126960084, \"wind\": 88.93771732732128, \"precipitation\": 99.50453536234512, \"condition\": \"fog\"}, {\"temperature\": 25.4533582484732, \"wind\": 96.38774772376792, \"precipitation\": 69.85460214191481, \"condition\": \"rain\"}, {\"temperature\": 22.955919291252926, \"wind\": 88.48558780603962, \"precipitation\": 40.268588772168876, \"condition\": \"snow\"}, {\"temperature\": 27.507453592914565, \"wind\": 29.838439613656075, \"precipitation\": 27.845875256677367, \"condition\": \"fog\"}, {\"temperature\": -6.870451234225997, \"wind\": 54.90225410574824, \"precipitation\": 29.74026895430255, \"condition\": \"snow\"}, {\"temperature\": 41.66879121402853, \"wind\": 21.388390668516323, \"precipitation\": 23.449697200445573, \"condition\": \"sun\"}, {\"temperature\": 15.838369384298645, \"wind\": 14.553164438107524, \"precipitation\": 78.9078385630916, \"condition\": \"sun\"}, {\"temperature\": 13.794652090601591, \"wind\": 31.915985033787553, \"precipitation\": 65.39000850075058, \"condition\": \"fog\"}, {\"temperature\": -0.24791853446323842, \"wind\": 16.053122209894966, \"precipitation\": 26.219628309452382, \"condition\": \"sun\"}, {\"temperature\": 20.625989859426074, \"wind\": 15.348759697534453, \"precipitation\": 94.2004787208339, \"condition\": \"rain\"}, {\"temperature\": 17.22130558630064, \"wind\": 61.15140884010469, \"precipitation\": 27.79385279217691, \"condition\": \"snow\"}, {\"temperature\": 15.342628921870396, \"wind\": 52.15522860596962, \"precipitation\": 44.258578235337545, \"condition\": \"drizzle\"}, {\"temperature\": 43.28838980732394, \"wind\": 30.617573960681387, \"precipitation\": 90.705784312922, \"condition\": \"drizzle\"}, {\"temperature\": 31.752614189233682, \"wind\": 54.002536771242745, \"precipitation\": 98.5871144935895, \"condition\": \"drizzle\"}, {\"temperature\": 3.5475184692079793, \"wind\": 96.91039458765935, \"precipitation\": 50.00054618320339, \"condition\": \"fog\"}]}}, {\"mode\": \"vega-lite\"});\n</script>",
       "text/plain": "alt.HConcatChart(...)"
      },
      "metadata": {},
@@ -1892,29 +1932,140 @@
    "source": [
     "base = alt.Chart(df)\n",
     "\n",
-    "tick = base.mark_tick().encode(\n",
-    "    y=alt.Y(field='temperature', type='quantitative')\n",
-    ")\n",
+    "tick = base.mark_tick().encode(y=alt.Y(field=\"temperature\", type=\"quantitative\"))\n",
     "view_1 = tick\n",
     "\n",
     "bar = base.mark_bar().encode(\n",
-    "    x=alt.X(field='condition', type='nominal'),\n",
-    "    y=alt.Y(field='temperature', type='quantitative', aggregate='mean')\n",
+    "    x=alt.X(field=\"condition\", type=\"nominal\"),\n",
+    "    y=alt.Y(field=\"temperature\", type=\"quantitative\", aggregate=\"mean\"),\n",
     ")\n",
     "view_2 = bar\n",
-    "chart = alt.hconcat(view_1, view_2).resolve_scale(\n",
-    "    y='shared'\n",
-    ")\n",
+    "chart = alt.hconcat(view_1, view_2).resolve_scale(y=\"shared\")\n",
     "\n",
     "display_chart(chart)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 78,
+   "execution_count": 203,
    "metadata": {},
    "outputs": [],
-   "source": []
+   "source": [
+    "from typing import Mapping, Generic, TypeVar\n",
+    "from abc import ABC, abstractmethod\n",
+    "\n",
+    "T = TypeVar(\"T\")\n",
+    "SpecProperty = str | int | float | bool | None | dict\n",
+    "\n",
+    "\n",
+    "class BaseRenderer(ABC, Generic[T]):\n",
+    "    \"\"\"\n",
+    "    Base class for all renderers.\n",
+    "    \"\"\"\n",
+    "\n",
+    "    def render(self, spec: Mapping) -> T:\n",
+    "        \"\"\"\n",
+    "        Render a dictionary-based specification\n",
+    "        into a concrete rendering product of type `T`.\n",
+    "        The rendering object's actual type depends on the concrete renderer.\n",
+    "\n",
+    "        :param spec: dictionary-based specification\n",
+    "        :return: product of the rendering\n",
+    "        \"\"\"\n",
+    "\n",
+    "        def visit_mapping(\n",
+    "            dct: Mapping, path: tuple[str | int, ...] = (), acc: T = self._initial\n",
+    "        ):\n",
+    "            \"\"\"\n",
+    "            Recursively visit a dictionary-based specification.\n",
+    "\n",
+    "            :param dct: dictionary-based specification\n",
+    "            :param path: path to the current node\n",
+    "            :param acc: accumulated rendering product\n",
+    "            \"\"\"\n",
+    "            for key, value in dct.items():\n",
+    "                if isinstance(value, dict):\n",
+    "                    # if the current value does not have further dicts in it, then call the visitor\n",
+    "                    if not any(isinstance(v, dict) for v in value.values()):\n",
+    "                        acc = self._visitor(value, path + (key,), acc)\n",
+    "                    else:\n",
+    "                        visit_mapping(value, path + (key,), acc)\n",
+    "                elif isinstance(value, list):\n",
+    "                    for i, item in enumerate(value):\n",
+    "                        visit_mapping(item, path + (key, i), acc)\n",
+    "                else:\n",
+    "                    acc = self._visitor(value, path + (key,), acc)\n",
+    "\n",
+    "        return visit_mapping(spec)\n",
+    "\n",
+    "    @property\n",
+    "    @abstractmethod\n",
+    "    def _initial(self) -> T:\n",
+    "        raise NotImplementedError\n",
+    "\n",
+    "    @abstractmethod\n",
+    "    def _visitor(self, value: SpecProperty, path: tuple[str | int, ...], acc: T) -> T:\n",
+    "        raise NotImplementedError\n",
+    "\n",
+    "\n",
+    "class VegaLiteRenderer(BaseRenderer):\n",
+    "    @property\n",
+    "    def _initial(self) -> T:\n",
+    "        return {}\n",
+    "\n",
+    "    def _visitor(self, value: SpecProperty, path: tuple[str | int, ...], acc: T) -> T:\n",
+    "        print(path, value)\n",
+    "        return acc"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 205,
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "{'number_rows': 100, 'field': [{'name': 'temperature', 'type': 'number'}, {'name': 'condition', 'type': 'string'}], 'view': [{'mark': [{'type': 'tick', 'encoding': [{'channel': 'y', 'field': 'temperature'}]}]}, {'mark': [{'type': 'bar', 'encoding': [{'channel': 'y', 'field': 'temperature', 'aggregate': 'mean'}, {'channel': 'x', 'field': 'condition'}]}], 'scale': [{'channel': 'x', 'type': 'ordinal'}]}], 'scale': [{'channel': 'y', 'type': 'linear', 'zero': 'true'}]}\n",
+      "('number_rows',) 100\n",
+      "('field', 0, 'name') temperature\n",
+      "('field', 0, 'type') number\n",
+      "('field', 1, 'name') condition\n",
+      "('field', 1, 'type') string\n",
+      "('view', 0, 'mark', 0, 'type') tick\n",
+      "('view', 0, 'mark', 0, 'encoding', 0, 'channel') y\n",
+      "('view', 0, 'mark', 0, 'encoding', 0, 'field') temperature\n",
+      "('view', 1, 'mark', 0, 'type') bar\n",
+      "('view', 1, 'mark', 0, 'encoding', 0, 'channel') y\n",
+      "('view', 1, 'mark', 0, 'encoding', 0, 'field') temperature\n",
+      "('view', 1, 'mark', 0, 'encoding', 0, 'aggregate') mean\n",
+      "('view', 1, 'mark', 0, 'encoding', 1, 'channel') x\n",
+      "('view', 1, 'mark', 0, 'encoding', 1, 'field') condition\n",
+      "('view', 1, 'scale', 0, 'channel') x\n",
+      "('view', 1, 'scale', 0, 'type') ordinal\n",
+      "('scale', 0, 'channel') y\n",
+      "('scale', 0, 'type') linear\n",
+      "('scale', 0, 'zero') true\n"
+     ]
+    }
+   ],
+   "source": [
+    "vl = VegaLiteRenderer()\n",
+    "print(spec)\n",
+    "vl.render(spec)"
+   ],
+   "metadata": {
+    "collapsed": false
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "outputs": [],
+   "source": [],
+   "metadata": {
+    "collapsed": false
+   }
   }
  ],
  "metadata": {
diff --git a/draco/renderer.py b/draco/renderer.py
new file mode 100644
index 00000000..dc98d9f5
--- /dev/null
+++ b/draco/renderer.py
@@ -0,0 +1,155 @@
+from abc import ABC, abstractmethod
+from dataclasses import dataclass, field
+from typing import Generic, Optional, TypeVar
+
+from draco.utils import dict_value_by_path
+
+T = TypeVar("T")
+SpecProperty = str | int | float | bool | None | dict | list
+
+
+@dataclass(frozen=True, kw_only=True)
+class VisitedItem(Generic[T]):
+    value: SpecProperty
+    path: tuple[int | str, ...]
+    acc: T = field(repr=False)
+    spec: dict = field(repr=False)
+
+    @property
+    def parent(self) -> Optional["VisitedItem"]:
+        has_parent = len(self.path) > 0
+        if has_parent:
+            parent_path = self.path[:-1]
+            value = dict_value_by_path(self.spec, parent_path)
+            return VisitedItem(
+                value=value, path=parent_path, acc=self.acc, spec=self.spec
+            )
+        return None
+
+
+class BaseRenderer(ABC, Generic[T]):
+    """
+    Base class for all renderers.
+    """
+
+    def render(self, spec: dict) -> T:
+        """
+        Render a dictionary-based specification
+        into a concrete rendering product of type `T`.
+        The rendering object's actual type depends on the concrete renderer.
+
+        :param spec: dictionary-based specification
+        :return: product of the rendering
+        """
+
+        def traverse(dct: dict, path: tuple[str | int, ...], acc: T):
+            """
+            Recursively visit a dictionary-based specification.
+
+            :param dct: dictionary-based specification
+            :param path: path to the current node
+            :param acc: accumulated rendering product
+            :return: the most recent rendering product
+            """
+            has_complex_children = any(
+                isinstance(v, dict) or isinstance(v, list) for v in dct.values()
+            )
+            if not has_complex_children:
+                return self._visitor(
+                    VisitedItem(value=dct, path=path, acc=acc, spec=spec)
+                )
+
+            for key, value in dct.items():
+                if isinstance(value, dict):
+                    acc = traverse(value, path + (key,), acc)
+                elif isinstance(value, list):
+                    for i, item in enumerate(value):
+                        acc = traverse(item, path + (key, i), acc)
+                else:
+                    acc = self._visitor(
+                        VisitedItem(value=value, path=path + (key,), acc=acc, spec=spec)
+                    )
+            return acc
+
+        return traverse(dct=spec, path=(), acc=self._initial)
+
+    @property
+    @abstractmethod
+    def _initial(self) -> T:
+        """
+        :return: The initial rendering product to start with.
+        """
+        raise NotImplementedError
+
+    @abstractmethod
+    def _visitor(self, item: VisitedItem[T]) -> T:
+        """
+        The callback to be invoked for each visited item of the specification.
+        Should be implemented by concrete renderers to produce the rendering product
+        step-by-step based on the contents of the supplied `payload`.
+
+        :param item: the visited item
+        :return: the updated rendering product
+        """
+        raise NotImplementedError
+
+
+class VegaLiteRenderer(BaseRenderer[dict]):
+    @property
+    def _initial(self) -> dict:
+        return {"x": 0}
+
+    def _visitor(self, item: VisitedItem) -> dict:
+        print(item)
+        return {"x": item.acc["x"] + 1}
+
+
+if __name__ == "__main__":
+    from draco.fact_utils import answer_set_to_dict
+    from draco.run import run_clingo
+
+    def facts_to_dict(facts: list[str]):
+        result = run_clingo(facts)
+        return answer_set_to_dict(next(result).answer_set)
+
+    facts = [
+        "attribute(number_rows,root,100).",
+        "entity(field,root,temperature).",
+        "attribute((field,name),temperature,temperature).",
+        "attribute((field,type),temperature,number).",
+        "entity(field,root,condition).",
+        "attribute((field,name),condition,condition).",
+        "attribute((field,type),condition,string).",
+        "entity(view,root,0).",
+        "entity(mark,0,1).",
+        "attribute((mark,type),1,tick).",
+        "entity(encoding,1,2).",
+        "attribute((encoding,channel),2,y).",
+        "attribute((encoding,field),2,temperature).",
+        "entity(view,root,3).",
+        "entity(mark,3,4).",
+        "attribute((mark,type),4,bar).",
+        "entity(encoding,4,5).",
+        "attribute((encoding,channel),5,y).",
+        "attribute((encoding,field),5,temperature).",
+        "attribute((encoding,aggregate),5,mean).",
+        "entity(encoding,4,6).",
+        "attribute((encoding,channel),6,x).",
+        "attribute((encoding,field),6,condition).",
+        "entity(scale,3,7).",
+        "attribute((scale,channel),7,x).",
+        "attribute((scale,type),7,ordinal).",
+        "entity(scale,root,8).",
+        "attribute((scale,channel),8,y).",
+        "attribute((scale,type),8,linear).",
+        "attribute((scale,zero),8,true).",
+    ]
+    spec = facts_to_dict(facts)
+    from pprint import pprint
+
+    pprint(spec)
+    print()
+
+    vl = VegaLiteRenderer()
+    product = vl.render(dict(spec))
+    print(product)
diff --git a/draco/utils.py b/draco/utils.py
index b3b79c9b..3c4b400b 100644
--- a/draco/utils.py
+++ b/draco/utils.py
@@ -3,3 +3,9 @@
 
 def dict_union(*args: dict):
     return dict(chain.from_iterable(d.items() for d in args))
+
+
+def dict_value_by_path(d: dict, path: tuple):
+    for key in path:
+        d = d[key]
+    return d

From 50e0dfd3d75e37a5f2654c5fb98c3d866949ebb0 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?P=C3=A9ter=20Ferenc=20Gyarmati?= <dev.petergy@gmail.com>
Date: Tue, 8 Nov 2022 14:34:03 +0100
Subject: [PATCH 03/45] refactor: extract renderer base

---
 docs/facts/examples-vl.ipynb         | 1337 ++++++++++++++++++++++----
 draco/renderer.py                    |  155 ---
 draco/renderer/__init__.py           |    0
 draco/renderer/base_renderer.py      |  150 +++
 draco/renderer/vega_lite.py          |    0
 draco/renderer/vega_lite_renderer.py |   75 ++
 6 files changed, 1367 insertions(+), 350 deletions(-)
 delete mode 100644 draco/renderer.py
 create mode 100644 draco/renderer/__init__.py
 create mode 100644 draco/renderer/base_renderer.py
 create mode 100644 draco/renderer/vega_lite.py
 create mode 100644 draco/renderer/vega_lite_renderer.py

diff --git a/docs/facts/examples-vl.ipynb b/docs/facts/examples-vl.ipynb
index 026d3970..81532108 100644
--- a/docs/facts/examples-vl.ipynb
+++ b/docs/facts/examples-vl.ipynb
@@ -11,7 +11,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 164,
+   "execution_count": 1,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -24,7 +24,7 @@
   },
   {
    "cell_type": "code",
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+   "execution_count": 2,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -35,7 +35,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 166,
+   "execution_count": 3,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -53,7 +53,7 @@
   },
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    "cell_type": "code",
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    "metadata": {},
    "outputs": [],
    "source": [
@@ -81,15 +81,86 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 168,
+   "execution_count": 5,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "text/plain": "   temperature       wind  precipitation condition\n0    15.949649  44.064475      39.571021       sun\n1    35.804103  57.347114      51.104157      snow\n2    34.390488  96.360482      40.969804   drizzle\n3     7.204886  25.146399      85.490179   drizzle\n4    19.552840  57.883961      73.697679       sun",
-      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>temperature</th>\n      <th>wind</th>\n      <th>precipitation</th>\n      <th>condition</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>15.949649</td>\n      <td>44.064475</td>\n      <td>39.571021</td>\n      <td>sun</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>35.804103</td>\n      <td>57.347114</td>\n      <td>51.104157</td>\n      <td>snow</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>34.390488</td>\n      <td>96.360482</td>\n      <td>40.969804</td>\n      <td>drizzle</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>7.204886</td>\n      <td>25.146399</td>\n      <td>85.490179</td>\n      <td>drizzle</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>19.552840</td>\n      <td>57.883961</td>\n      <td>73.697679</td>\n      <td>sun</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>temperature</th>\n",
+       "      <th>wind</th>\n",
+       "      <th>precipitation</th>\n",
+       "      <th>condition</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>17.893653</td>\n",
+       "      <td>78.756856</td>\n",
+       "      <td>41.611246</td>\n",
+       "      <td>rain</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>5.622818</td>\n",
+       "      <td>25.421999</td>\n",
+       "      <td>74.905551</td>\n",
+       "      <td>rain</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>23.390209</td>\n",
+       "      <td>9.846103</td>\n",
+       "      <td>81.335364</td>\n",
+       "      <td>rain</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>20.889554</td>\n",
+       "      <td>27.535213</td>\n",
+       "      <td>27.654932</td>\n",
+       "      <td>drizzle</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>33.910262</td>\n",
+       "      <td>97.910328</td>\n",
+       "      <td>36.534943</td>\n",
+       "      <td>snow</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   temperature       wind  precipitation condition\n",
+       "0    17.893653  78.756856      41.611246      rain\n",
+       "1     5.622818  25.421999      74.905551      rain\n",
+       "2    23.390209   9.846103      81.335364      rain\n",
+       "3    20.889554  27.535213      27.654932   drizzle\n",
+       "4    33.910262  97.910328      36.534943      snow"
+      ]
      },
-     "execution_count": 168,
+     "execution_count": 5,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -114,7 +185,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 169,
+   "execution_count": 6,
    "metadata": {},
    "outputs": [
     {
@@ -151,7 +222,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 170,
+   "execution_count": 7,
    "metadata": {},
    "outputs": [
     {
@@ -176,8 +247,66 @@
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     {
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+       "  var VEGA_DEBUG = (typeof VEGA_DEBUG == \"undefined\") ? {} : VEGA_DEBUG;\n",
+       "  (function(spec, embedOpt){\n",
+       "    let outputDiv = document.currentScript.previousElementSibling;\n",
+       "    if (outputDiv.id !== \"altair-viz-f6c5563422c540eaae9ec3011032853a\") {\n",
+       "      outputDiv = document.getElementById(\"altair-viz-f6c5563422c540eaae9ec3011032853a\");\n",
+       "    }\n",
+       "    const paths = {\n",
+       "      \"vega\": \"https://cdn.jsdelivr.net/npm//vega@5?noext\",\n",
+       "      \"vega-lib\": \"https://cdn.jsdelivr.net/npm//vega-lib?noext\",\n",
+       "      \"vega-lite\": \"https://cdn.jsdelivr.net/npm//vega-lite@4.17.0?noext\",\n",
+       "      \"vega-embed\": \"https://cdn.jsdelivr.net/npm//vega-embed@6?noext\",\n",
+       "    };\n",
+       "\n",
+       "    function maybeLoadScript(lib, version) {\n",
+       "      var key = `${lib.replace(\"-\", \"\")}_version`;\n",
+       "      return (VEGA_DEBUG[key] == version) ?\n",
+       "        Promise.resolve(paths[lib]) :\n",
+       "        new Promise(function(resolve, reject) {\n",
+       "          var s = document.createElement('script');\n",
+       "          document.getElementsByTagName(\"head\")[0].appendChild(s);\n",
+       "          s.async = true;\n",
+       "          s.onload = () => {\n",
+       "            VEGA_DEBUG[key] = version;\n",
+       "            return resolve(paths[lib]);\n",
+       "          };\n",
+       "          s.onerror = () => reject(`Error loading script: ${paths[lib]}`);\n",
+       "          s.src = paths[lib];\n",
+       "        });\n",
+       "    }\n",
+       "\n",
+       "    function showError(err) {\n",
+       "      outputDiv.innerHTML = `<div class=\"error\" style=\"color:red;\">${err}</div>`;\n",
+       "      throw err;\n",
+       "    }\n",
+       "\n",
+       "    function displayChart(vegaEmbed) {\n",
+       "      vegaEmbed(outputDiv, spec, embedOpt)\n",
+       "        .catch(err => showError(`Javascript Error: ${err.message}<br>This usually means there's a typo in your chart specification. See the javascript console for the full traceback.`));\n",
+       "    }\n",
+       "\n",
+       "    if(typeof define === \"function\" && define.amd) {\n",
+       "      requirejs.config({paths});\n",
+       "      require([\"vega-embed\"], displayChart, err => showError(`Error loading script: ${err.message}`));\n",
+       "    } else {\n",
+       "      maybeLoadScript(\"vega\", \"5\")\n",
+       "        .then(() => maybeLoadScript(\"vega-lite\", \"4.17.0\"))\n",
+       "        .then(() => maybeLoadScript(\"vega-embed\", \"6\"))\n",
+       "        .catch(showError)\n",
+       "        .then(() => displayChart(vegaEmbed));\n",
+       "    }\n",
+       "  })({\"config\": {\"view\": {\"continuousWidth\": 400, \"continuousHeight\": 300}}, \"data\": {\"name\": \"data-124c435c1b687eb7890344117a1c86b4\"}, \"mark\": \"tick\", \"encoding\": {\"x\": {\"field\": \"temperature\", \"scale\": {\"type\": \"linear\"}, \"type\": \"quantitative\"}}, \"$schema\": \"https://vega.github.io/schema/vega-lite/v4.17.0.json\", \"datasets\": {\"data-124c435c1b687eb7890344117a1c86b4\": [{\"temperature\": 17.89365303788651, \"wind\": 78.75685633883592, \"precipitation\": 41.61124606702779, \"condition\": \"rain\"}, {\"temperature\": 5.622818441769336, \"wind\": 25.421998841055917, \"precipitation\": 74.90555083684964, \"condition\": \"rain\"}, {\"temperature\": 23.3902094090436, \"wind\": 9.846103163487696, \"precipitation\": 81.33536438710783, \"condition\": \"rain\"}, {\"temperature\": 20.889554427248395, \"wind\": 27.53521295661492, \"precipitation\": 27.6549324712597, \"condition\": \"drizzle\"}, {\"temperature\": 33.91026207788065, \"wind\": 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\"precipitation\": 3.5337114891518584, \"condition\": \"fog\"}, {\"temperature\": 28.422917308067277, \"wind\": 6.822434636914776, \"precipitation\": 84.5655158038795, \"condition\": \"fog\"}, {\"temperature\": 28.406344711783838, \"wind\": 95.25216996998444, \"precipitation\": 2.312429289727791, \"condition\": \"fog\"}, {\"temperature\": 23.929825809705775, \"wind\": 28.441727967722407, \"precipitation\": 94.94371547195382, \"condition\": \"drizzle\"}, {\"temperature\": 25.144603850494207, \"wind\": 5.7248518372133965, \"precipitation\": 72.55961327284773, \"condition\": \"drizzle\"}, {\"temperature\": -3.1069016270510676, \"wind\": 90.56068308052812, \"precipitation\": 8.208347981870512, \"condition\": \"rain\"}, {\"temperature\": 43.07443333444708, \"wind\": 63.33777651825151, \"precipitation\": 35.343598004733714, \"condition\": \"sun\"}, {\"temperature\": -8.715631484900875, \"wind\": 78.50049089036061, \"precipitation\": 16.726772866900042, \"condition\": \"fog\"}, {\"temperature\": 10.058625587365142, \"wind\": 82.55410159133031, \"precipitation\": 49.82193593499935, \"condition\": \"fog\"}, {\"temperature\": 27.912341883718938, \"wind\": 45.94389098129158, \"precipitation\": 87.71806691348185, \"condition\": \"sun\"}, {\"temperature\": 28.827008981675903, \"wind\": 14.352645600160752, \"precipitation\": 95.30777240838884, \"condition\": \"sun\"}, {\"temperature\": -5.245472855196331, \"wind\": 24.463633090927274, \"precipitation\": 63.1630488725617, \"condition\": \"fog\"}, {\"temperature\": -4.738627417736829, \"wind\": 87.61779675788263, \"precipitation\": 67.17488470646667, \"condition\": \"fog\"}, {\"temperature\": -1.6463371096382655, \"wind\": 34.15953757649686, \"precipitation\": 83.20021064524306, \"condition\": \"rain\"}, {\"temperature\": -8.671469939339552, \"wind\": 28.02148157701091, \"precipitation\": 8.858286414027772, \"condition\": \"snow\"}, {\"temperature\": 23.586980668182306, \"wind\": 32.61177727202879, \"precipitation\": 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{\"temperature\": 8.011942225789358, \"wind\": 80.64679426688298, \"precipitation\": 84.74031260132877, \"condition\": \"sun\"}, {\"temperature\": 32.64189921238727, \"wind\": 78.38867921926278, \"precipitation\": 94.27015659699374, \"condition\": \"fog\"}, {\"temperature\": -4.159829210634211, \"wind\": 53.39060475873939, \"precipitation\": 50.60795287404672, \"condition\": \"fog\"}, {\"temperature\": -6.602296737522483, \"wind\": 86.55899134629715, \"precipitation\": 62.64697378600636, \"condition\": \"fog\"}, {\"temperature\": 40.135239145180655, \"wind\": 16.633704419495032, \"precipitation\": 41.391087682479736, \"condition\": \"drizzle\"}, {\"temperature\": 26.95881305440288, \"wind\": 85.8809786017975, \"precipitation\": 71.9617762842435, \"condition\": \"drizzle\"}, {\"temperature\": 11.92991543604046, \"wind\": 76.39140196294017, \"precipitation\": 60.40612399492309, \"condition\": \"drizzle\"}, {\"temperature\": 19.566301202766702, \"wind\": 72.97802286558691, \"precipitation\": 29.681848692175006, \"condition\": \"drizzle\"}, {\"temperature\": 10.481864045771506, \"wind\": 10.269367839292642, \"precipitation\": 85.87287289024248, \"condition\": \"rain\"}, {\"temperature\": -9.620152753805623, \"wind\": 64.57630699894213, \"precipitation\": 29.06583641537993, \"condition\": \"drizzle\"}, {\"temperature\": 24.85823346816882, \"wind\": 64.44200648973889, \"precipitation\": 32.79358601401415, \"condition\": \"sun\"}, {\"temperature\": -9.71401231081625, \"wind\": 46.94482107365025, \"precipitation\": 71.95828763550503, \"condition\": \"rain\"}, {\"temperature\": 15.802582568794556, \"wind\": 5.568264782160037, \"precipitation\": 16.50277435360922, \"condition\": \"sun\"}, {\"temperature\": 29.44740698845427, \"wind\": 66.4224540835048, \"precipitation\": 96.91347272575433, \"condition\": \"snow\"}, {\"temperature\": 0.1789559651072139, \"wind\": 37.144396583281235, \"precipitation\": 7.3927878065009445, \"condition\": \"snow\"}, {\"temperature\": 37.90262114384076, \"wind\": 23.744567572534315, \"precipitation\": 85.44013318397162, \"condition\": \"fog\"}, {\"temperature\": 40.40503203411964, \"wind\": 71.68155336881077, \"precipitation\": 91.260802513042, \"condition\": \"snow\"}, {\"temperature\": 2.723433474361908, \"wind\": 5.85694236985378, \"precipitation\": 54.0295184169758, \"condition\": \"drizzle\"}, {\"temperature\": 9.452609321039336, \"wind\": 52.7843932253772, \"precipitation\": 90.04450333194686, \"condition\": \"fog\"}, {\"temperature\": 18.909153974667404, \"wind\": 13.725377509230263, \"precipitation\": 34.56974350594094, \"condition\": \"sun\"}]}}, {\"mode\": \"vega-lite\"});\n",
+       "</script>"
+      ],
+      "text/plain": [
+       "alt.Chart(...)"
+      ]
      },
      "metadata": {},
      "output_type": "display_data"
@@ -200,7 +329,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 171,
+   "execution_count": 8,
    "metadata": {},
    "outputs": [
     {
@@ -237,7 +366,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 172,
+   "execution_count": 9,
    "metadata": {},
    "outputs": [
     {
@@ -255,8 +384,66 @@
     },
     {
      "data": {
-      "text/html": "\n<div id=\"altair-viz-a7c091a080034df0a5c61a5fcf7179d3\"></div>\n<script type=\"text/javascript\">\n  var VEGA_DEBUG = (typeof VEGA_DEBUG == \"undefined\") ? {} : VEGA_DEBUG;\n  (function(spec, embedOpt){\n    let outputDiv = document.currentScript.previousElementSibling;\n    if (outputDiv.id !== \"altair-viz-a7c091a080034df0a5c61a5fcf7179d3\") {\n      outputDiv = document.getElementById(\"altair-viz-a7c091a080034df0a5c61a5fcf7179d3\");\n    }\n    const paths = {\n      \"vega\": \"https://cdn.jsdelivr.net/npm//vega@5?noext\",\n      \"vega-lib\": \"https://cdn.jsdelivr.net/npm//vega-lib?noext\",\n      \"vega-lite\": \"https://cdn.jsdelivr.net/npm//vega-lite@4.17.0?noext\",\n      \"vega-embed\": \"https://cdn.jsdelivr.net/npm//vega-embed@6?noext\",\n    };\n\n    function maybeLoadScript(lib, version) {\n      var key = `${lib.replace(\"-\", \"\")}_version`;\n      return (VEGA_DEBUG[key] == version) ?\n        Promise.resolve(paths[lib]) :\n        new Promise(function(resolve, reject) {\n          var s = document.createElement('script');\n          document.getElementsByTagName(\"head\")[0].appendChild(s);\n          s.async = true;\n          s.onload = () => {\n            VEGA_DEBUG[key] = version;\n            return resolve(paths[lib]);\n          };\n          s.onerror = () => reject(`Error loading script: ${paths[lib]}`);\n          s.src = paths[lib];\n        });\n    }\n\n    function showError(err) {\n      outputDiv.innerHTML = `<div class=\"error\" style=\"color:red;\">${err}</div>`;\n      throw err;\n    }\n\n    function displayChart(vegaEmbed) {\n      vegaEmbed(outputDiv, spec, embedOpt)\n        .catch(err => showError(`Javascript Error: ${err.message}<br>This usually means there's a typo in your chart specification. 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-      "text/plain": "alt.Chart(...)"
+      "text/html": [
+       "\n",
+       "<div id=\"altair-viz-10c87efffabd4a5fbf200fde56afa627\"></div>\n",
+       "<script type=\"text/javascript\">\n",
+       "  var VEGA_DEBUG = (typeof VEGA_DEBUG == \"undefined\") ? {} : VEGA_DEBUG;\n",
+       "  (function(spec, embedOpt){\n",
+       "    let outputDiv = document.currentScript.previousElementSibling;\n",
+       "    if (outputDiv.id !== \"altair-viz-10c87efffabd4a5fbf200fde56afa627\") {\n",
+       "      outputDiv = document.getElementById(\"altair-viz-10c87efffabd4a5fbf200fde56afa627\");\n",
+       "    }\n",
+       "    const paths = {\n",
+       "      \"vega\": \"https://cdn.jsdelivr.net/npm//vega@5?noext\",\n",
+       "      \"vega-lib\": \"https://cdn.jsdelivr.net/npm//vega-lib?noext\",\n",
+       "      \"vega-lite\": \"https://cdn.jsdelivr.net/npm//vega-lite@4.17.0?noext\",\n",
+       "      \"vega-embed\": \"https://cdn.jsdelivr.net/npm//vega-embed@6?noext\",\n",
+       "    };\n",
+       "\n",
+       "    function maybeLoadScript(lib, version) {\n",
+       "      var key = `${lib.replace(\"-\", \"\")}_version`;\n",
+       "      return (VEGA_DEBUG[key] == version) ?\n",
+       "        Promise.resolve(paths[lib]) :\n",
+       "        new Promise(function(resolve, reject) {\n",
+       "          var s = document.createElement('script');\n",
+       "          document.getElementsByTagName(\"head\")[0].appendChild(s);\n",
+       "          s.async = true;\n",
+       "          s.onload = () => {\n",
+       "            VEGA_DEBUG[key] = version;\n",
+       "            return resolve(paths[lib]);\n",
+       "          };\n",
+       "          s.onerror = () => reject(`Error loading script: ${paths[lib]}`);\n",
+       "          s.src = paths[lib];\n",
+       "        });\n",
+       "    }\n",
+       "\n",
+       "    function showError(err) {\n",
+       "      outputDiv.innerHTML = `<div class=\"error\" style=\"color:red;\">${err}</div>`;\n",
+       "      throw err;\n",
+       "    }\n",
+       "\n",
+       "    function displayChart(vegaEmbed) {\n",
+       "      vegaEmbed(outputDiv, spec, embedOpt)\n",
+       "        .catch(err => showError(`Javascript Error: ${err.message}<br>This usually means there's a typo in your chart specification. See the javascript console for the full traceback.`));\n",
+       "    }\n",
+       "\n",
+       "    if(typeof define === \"function\" && define.amd) {\n",
+       "      requirejs.config({paths});\n",
+       "      require([\"vega-embed\"], displayChart, err => showError(`Error loading script: ${err.message}`));\n",
+       "    } else {\n",
+       "      maybeLoadScript(\"vega\", \"5\")\n",
+       "        .then(() => maybeLoadScript(\"vega-lite\", \"4.17.0\"))\n",
+       "        .then(() => maybeLoadScript(\"vega-embed\", \"6\"))\n",
+       "        .catch(showError)\n",
+       "        .then(() => displayChart(vegaEmbed));\n",
+       "    }\n",
+       "  })({\"config\": {\"view\": {\"continuousWidth\": 400, \"continuousHeight\": 300}}, \"data\": {\"name\": \"data-124c435c1b687eb7890344117a1c86b4\"}, \"mark\": \"tick\", \"encoding\": {\"x\": {\"field\": \"temperature\", \"scale\": {\"type\": \"log\"}, \"type\": \"quantitative\"}}, \"transform\": [{\"filter\": \"(datum.temperature > 0)\"}], \"$schema\": \"https://vega.github.io/schema/vega-lite/v4.17.0.json\", \"datasets\": {\"data-124c435c1b687eb7890344117a1c86b4\": [{\"temperature\": 17.89365303788651, \"wind\": 78.75685633883592, \"precipitation\": 41.61124606702779, \"condition\": \"rain\"}, {\"temperature\": 5.622818441769336, \"wind\": 25.421998841055917, \"precipitation\": 74.90555083684964, \"condition\": \"rain\"}, {\"temperature\": 23.3902094090436, \"wind\": 9.846103163487696, \"precipitation\": 81.33536438710783, \"condition\": \"rain\"}, {\"temperature\": 20.889554427248395, \"wind\": 27.53521295661492, \"precipitation\": 27.6549324712597, \"condition\": 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+       "</script>"
+      ],
+      "text/plain": [
+       "alt.Chart(...)"
+      ]
      },
      "metadata": {},
      "output_type": "display_data"
@@ -279,7 +466,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 173,
+   "execution_count": 10,
    "metadata": {},
    "outputs": [
     {
@@ -334,7 +521,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 174,
+   "execution_count": 11,
    "metadata": {},
    "outputs": [
     {
@@ -355,8 +542,66 @@
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-      "text/plain": "alt.Chart(...)"
+      "text/html": [
+       "\n",
+       "<div id=\"altair-viz-b18a0dbc088a4de1a10024c672dd4a35\"></div>\n",
+       "<script type=\"text/javascript\">\n",
+       "  var VEGA_DEBUG = (typeof VEGA_DEBUG == \"undefined\") ? {} : VEGA_DEBUG;\n",
+       "  (function(spec, embedOpt){\n",
+       "    let outputDiv = document.currentScript.previousElementSibling;\n",
+       "    if (outputDiv.id !== \"altair-viz-b18a0dbc088a4de1a10024c672dd4a35\") {\n",
+       "      outputDiv = document.getElementById(\"altair-viz-b18a0dbc088a4de1a10024c672dd4a35\");\n",
+       "    }\n",
+       "    const paths = {\n",
+       "      \"vega\": \"https://cdn.jsdelivr.net/npm//vega@5?noext\",\n",
+       "      \"vega-lib\": \"https://cdn.jsdelivr.net/npm//vega-lib?noext\",\n",
+       "      \"vega-lite\": \"https://cdn.jsdelivr.net/npm//vega-lite@4.17.0?noext\",\n",
+       "      \"vega-embed\": \"https://cdn.jsdelivr.net/npm//vega-embed@6?noext\",\n",
+       "    };\n",
+       "\n",
+       "    function maybeLoadScript(lib, version) {\n",
+       "      var key = `${lib.replace(\"-\", \"\")}_version`;\n",
+       "      return (VEGA_DEBUG[key] == version) ?\n",
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+       "        new Promise(function(resolve, reject) {\n",
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+       "          s.async = true;\n",
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+       "          s.onerror = () => reject(`Error loading script: ${paths[lib]}`);\n",
+       "          s.src = paths[lib];\n",
+       "        });\n",
+       "    }\n",
+       "\n",
+       "    function showError(err) {\n",
+       "      outputDiv.innerHTML = `<div class=\"error\" style=\"color:red;\">${err}</div>`;\n",
+       "      throw err;\n",
+       "    }\n",
+       "\n",
+       "    function displayChart(vegaEmbed) {\n",
+       "      vegaEmbed(outputDiv, spec, embedOpt)\n",
+       "        .catch(err => showError(`Javascript Error: ${err.message}<br>This usually means there's a typo in your chart specification. See the javascript console for the full traceback.`));\n",
+       "    }\n",
+       "\n",
+       "    if(typeof define === \"function\" && define.amd) {\n",
+       "      requirejs.config({paths});\n",
+       "      require([\"vega-embed\"], displayChart, err => showError(`Error loading script: ${err.message}`));\n",
+       "    } else {\n",
+       "      maybeLoadScript(\"vega\", \"5\")\n",
+       "        .then(() => maybeLoadScript(\"vega-lite\", \"4.17.0\"))\n",
+       "        .then(() => maybeLoadScript(\"vega-embed\", \"6\"))\n",
+       "        .catch(showError)\n",
+       "        .then(() => displayChart(vegaEmbed));\n",
+       "    }\n",
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0.1789559651072139, \"wind\": 37.144396583281235, \"precipitation\": 7.3927878065009445, \"condition\": \"snow\"}, {\"temperature\": 37.90262114384076, \"wind\": 23.744567572534315, \"precipitation\": 85.44013318397162, \"condition\": \"fog\"}, {\"temperature\": 40.40503203411964, \"wind\": 71.68155336881077, \"precipitation\": 91.260802513042, \"condition\": \"snow\"}, {\"temperature\": 2.723433474361908, \"wind\": 5.85694236985378, \"precipitation\": 54.0295184169758, \"condition\": \"drizzle\"}, {\"temperature\": 9.452609321039336, \"wind\": 52.7843932253772, \"precipitation\": 90.04450333194686, \"condition\": \"fog\"}, {\"temperature\": 18.909153974667404, \"wind\": 13.725377509230263, \"precipitation\": 34.56974350594094, \"condition\": \"sun\"}]}}, {\"mode\": \"vega-lite\"});\n",
+       "</script>"
+      ],
+      "text/plain": [
+       "alt.Chart(...)"
+      ]
      },
      "metadata": {},
      "output_type": "display_data"
@@ -385,7 +630,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 175,
+   "execution_count": 12,
    "metadata": {},
    "outputs": [
     {
@@ -440,7 +685,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 176,
+   "execution_count": 13,
    "metadata": {},
    "outputs": [
     {
@@ -464,8 +709,66 @@
     },
     {
      "data": {
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See the javascript console for the full traceback.`));\n    }\n\n    if(typeof define === \"function\" && define.amd) {\n      requirejs.config({paths});\n      require([\"vega-embed\"], displayChart, err => showError(`Error loading script: ${err.message}`));\n    } else {\n      maybeLoadScript(\"vega\", \"5\")\n        .then(() => maybeLoadScript(\"vega-lite\", \"4.17.0\"))\n        .then(() => maybeLoadScript(\"vega-embed\", \"6\"))\n        .catch(showError)\n        .then(() => displayChart(vegaEmbed));\n    }\n  })({\"config\": {\"view\": {\"continuousWidth\": 400, \"continuousHeight\": 300}}, \"layer\": [{\"mark\": {\"type\": \"arc\", \"stroke\": \"#ffffff\"}, \"encoding\": {\"radius\": {\"aggregate\": \"mean\", \"field\": \"temperature\", \"type\": \"quantitative\"}, \"theta\": {\"field\": \"condition\", \"type\": \"nominal\"}}}, {\"mark\": {\"type\": \"text\", \"radiusOffset\": 15}, \"encoding\": {\"radius\": {\"aggregate\": \"mean\", \"field\": \"temperature\", \"type\": 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-      "text/plain": "alt.LayerChart(...)"
+      "text/html": [
+       "\n",
+       "<div id=\"altair-viz-e87f676f7bec4b4e825d4f3fceacc659\"></div>\n",
+       "<script type=\"text/javascript\">\n",
+       "  var VEGA_DEBUG = (typeof VEGA_DEBUG == \"undefined\") ? {} : VEGA_DEBUG;\n",
+       "  (function(spec, embedOpt){\n",
+       "    let outputDiv = document.currentScript.previousElementSibling;\n",
+       "    if (outputDiv.id !== \"altair-viz-e87f676f7bec4b4e825d4f3fceacc659\") {\n",
+       "      outputDiv = document.getElementById(\"altair-viz-e87f676f7bec4b4e825d4f3fceacc659\");\n",
+       "    }\n",
+       "    const paths = {\n",
+       "      \"vega\": \"https://cdn.jsdelivr.net/npm//vega@5?noext\",\n",
+       "      \"vega-lib\": \"https://cdn.jsdelivr.net/npm//vega-lib?noext\",\n",
+       "      \"vega-lite\": \"https://cdn.jsdelivr.net/npm//vega-lite@4.17.0?noext\",\n",
+       "      \"vega-embed\": \"https://cdn.jsdelivr.net/npm//vega-embed@6?noext\",\n",
+       "    };\n",
+       "\n",
+       "    function maybeLoadScript(lib, version) {\n",
+       "      var key = `${lib.replace(\"-\", \"\")}_version`;\n",
+       "      return (VEGA_DEBUG[key] == version) ?\n",
+       "        Promise.resolve(paths[lib]) :\n",
+       "        new Promise(function(resolve, reject) {\n",
+       "          var s = document.createElement('script');\n",
+       "          document.getElementsByTagName(\"head\")[0].appendChild(s);\n",
+       "          s.async = true;\n",
+       "          s.onload = () => {\n",
+       "            VEGA_DEBUG[key] = version;\n",
+       "            return resolve(paths[lib]);\n",
+       "          };\n",
+       "          s.onerror = () => reject(`Error loading script: ${paths[lib]}`);\n",
+       "          s.src = paths[lib];\n",
+       "        });\n",
+       "    }\n",
+       "\n",
+       "    function showError(err) {\n",
+       "      outputDiv.innerHTML = `<div class=\"error\" style=\"color:red;\">${err}</div>`;\n",
+       "      throw err;\n",
+       "    }\n",
+       "\n",
+       "    function displayChart(vegaEmbed) {\n",
+       "      vegaEmbed(outputDiv, spec, embedOpt)\n",
+       "        .catch(err => showError(`Javascript Error: ${err.message}<br>This usually means there's a typo in your chart specification. See the javascript console for the full traceback.`));\n",
+       "    }\n",
+       "\n",
+       "    if(typeof define === \"function\" && define.amd) {\n",
+       "      requirejs.config({paths});\n",
+       "      require([\"vega-embed\"], displayChart, err => showError(`Error loading script: ${err.message}`));\n",
+       "    } else {\n",
+       "      maybeLoadScript(\"vega\", \"5\")\n",
+       "        .then(() => maybeLoadScript(\"vega-lite\", \"4.17.0\"))\n",
+       "        .then(() => maybeLoadScript(\"vega-embed\", \"6\"))\n",
+       "        .catch(showError)\n",
+       "        .then(() => displayChart(vegaEmbed));\n",
+       "    }\n",
+       "  })({\"config\": {\"view\": {\"continuousWidth\": 400, \"continuousHeight\": 300}}, \"layer\": [{\"mark\": {\"type\": \"arc\", \"stroke\": \"#ffffff\"}, \"encoding\": {\"radius\": {\"aggregate\": \"mean\", \"field\": \"temperature\", \"type\": \"quantitative\"}, \"theta\": {\"field\": \"condition\", \"type\": \"nominal\"}}}, {\"mark\": {\"type\": \"text\", \"radiusOffset\": 15}, \"encoding\": {\"radius\": {\"aggregate\": \"mean\", \"field\": \"temperature\", \"type\": \"quantitative\"}, \"text\": {\"field\": \"condition\", \"type\": \"nominal\"}, \"theta\": {\"field\": \"condition\", \"type\": \"nominal\"}}}], \"data\": {\"name\": \"data-124c435c1b687eb7890344117a1c86b4\"}, \"$schema\": \"https://vega.github.io/schema/vega-lite/v4.17.0.json\", \"datasets\": {\"data-124c435c1b687eb7890344117a1c86b4\": [{\"temperature\": 17.89365303788651, \"wind\": 78.75685633883592, \"precipitation\": 41.61124606702779, \"condition\": \"rain\"}, {\"temperature\": 5.622818441769336, \"wind\": 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{\"temperature\": 15.802582568794556, \"wind\": 5.568264782160037, \"precipitation\": 16.50277435360922, \"condition\": \"sun\"}, {\"temperature\": 29.44740698845427, \"wind\": 66.4224540835048, \"precipitation\": 96.91347272575433, \"condition\": \"snow\"}, {\"temperature\": 0.1789559651072139, \"wind\": 37.144396583281235, \"precipitation\": 7.3927878065009445, \"condition\": \"snow\"}, {\"temperature\": 37.90262114384076, \"wind\": 23.744567572534315, \"precipitation\": 85.44013318397162, \"condition\": \"fog\"}, {\"temperature\": 40.40503203411964, \"wind\": 71.68155336881077, \"precipitation\": 91.260802513042, \"condition\": \"snow\"}, {\"temperature\": 2.723433474361908, \"wind\": 5.85694236985378, \"precipitation\": 54.0295184169758, \"condition\": \"drizzle\"}, {\"temperature\": 9.452609321039336, \"wind\": 52.7843932253772, \"precipitation\": 90.04450333194686, \"condition\": \"fog\"}, {\"temperature\": 18.909153974667404, \"wind\": 13.725377509230263, \"precipitation\": 34.56974350594094, \"condition\": \"sun\"}]}}, {\"mode\": \"vega-lite\"});\n",
+       "</script>"
+      ],
+      "text/plain": [
+       "alt.LayerChart(...)"
+      ]
      },
      "metadata": {},
      "output_type": "display_data"
@@ -494,7 +797,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 177,
+   "execution_count": 14,
    "metadata": {},
    "outputs": [
     {
@@ -540,7 +843,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 178,
+   "execution_count": 15,
    "metadata": {},
    "outputs": [
     {
@@ -561,8 +864,66 @@
     },
     {
      "data": {
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-      "text/plain": "alt.Chart(...)"
+      "text/html": [
+       "\n",
+       "<div id=\"altair-viz-2d84e9fbf07d4dff819e0d162ad29bfc\"></div>\n",
+       "<script type=\"text/javascript\">\n",
+       "  var VEGA_DEBUG = (typeof VEGA_DEBUG == \"undefined\") ? {} : VEGA_DEBUG;\n",
+       "  (function(spec, embedOpt){\n",
+       "    let outputDiv = document.currentScript.previousElementSibling;\n",
+       "    if (outputDiv.id !== \"altair-viz-2d84e9fbf07d4dff819e0d162ad29bfc\") {\n",
+       "      outputDiv = document.getElementById(\"altair-viz-2d84e9fbf07d4dff819e0d162ad29bfc\");\n",
+       "    }\n",
+       "    const paths = {\n",
+       "      \"vega\": \"https://cdn.jsdelivr.net/npm//vega@5?noext\",\n",
+       "      \"vega-lib\": \"https://cdn.jsdelivr.net/npm//vega-lib?noext\",\n",
+       "      \"vega-lite\": \"https://cdn.jsdelivr.net/npm//vega-lite@4.17.0?noext\",\n",
+       "      \"vega-embed\": \"https://cdn.jsdelivr.net/npm//vega-embed@6?noext\",\n",
+       "    };\n",
+       "\n",
+       "    function maybeLoadScript(lib, version) {\n",
+       "      var key = `${lib.replace(\"-\", \"\")}_version`;\n",
+       "      return (VEGA_DEBUG[key] == version) ?\n",
+       "        Promise.resolve(paths[lib]) :\n",
+       "        new Promise(function(resolve, reject) {\n",
+       "          var s = document.createElement('script');\n",
+       "          document.getElementsByTagName(\"head\")[0].appendChild(s);\n",
+       "          s.async = true;\n",
+       "          s.onload = () => {\n",
+       "            VEGA_DEBUG[key] = version;\n",
+       "            return resolve(paths[lib]);\n",
+       "          };\n",
+       "          s.onerror = () => reject(`Error loading script: ${paths[lib]}`);\n",
+       "          s.src = paths[lib];\n",
+       "        });\n",
+       "    }\n",
+       "\n",
+       "    function showError(err) {\n",
+       "      outputDiv.innerHTML = `<div class=\"error\" style=\"color:red;\">${err}</div>`;\n",
+       "      throw err;\n",
+       "    }\n",
+       "\n",
+       "    function displayChart(vegaEmbed) {\n",
+       "      vegaEmbed(outputDiv, spec, embedOpt)\n",
+       "        .catch(err => showError(`Javascript Error: ${err.message}<br>This usually means there's a typo in your chart specification. See the javascript console for the full traceback.`));\n",
+       "    }\n",
+       "\n",
+       "    if(typeof define === \"function\" && define.amd) {\n",
+       "      requirejs.config({paths});\n",
+       "      require([\"vega-embed\"], displayChart, err => showError(`Error loading script: ${err.message}`));\n",
+       "    } else {\n",
+       "      maybeLoadScript(\"vega\", \"5\")\n",
+       "        .then(() => maybeLoadScript(\"vega-lite\", \"4.17.0\"))\n",
+       "        .then(() => maybeLoadScript(\"vega-embed\", \"6\"))\n",
+       "        .catch(showError)\n",
+       "        .then(() => displayChart(vegaEmbed));\n",
+       "    }\n",
+       "  })({\"config\": {\"view\": {\"continuousWidth\": 400, \"continuousHeight\": 300}}, \"data\": {\"name\": \"data-124c435c1b687eb7890344117a1c86b4\"}, \"mark\": \"bar\", \"encoding\": {\"x\": {\"field\": \"condition\", \"scale\": {\"type\": \"ordinal\"}, \"type\": \"nominal\"}, \"y\": {\"aggregate\": \"count\", \"field\": \"condition\", \"scale\": {\"type\": \"linear\", \"zero\": true}, \"type\": \"nominal\"}}, \"$schema\": \"https://vega.github.io/schema/vega-lite/v4.17.0.json\", \"datasets\": {\"data-124c435c1b687eb7890344117a1c86b4\": [{\"temperature\": 17.89365303788651, \"wind\": 78.75685633883592, \"precipitation\": 41.61124606702779, \"condition\": \"rain\"}, {\"temperature\": 5.622818441769336, \"wind\": 25.421998841055917, \"precipitation\": 74.90555083684964, \"condition\": \"rain\"}, {\"temperature\": 23.3902094090436, \"wind\": 9.846103163487696, \"precipitation\": 81.33536438710783, \"condition\": \"rain\"}, {\"temperature\": 20.889554427248395, \"wind\": 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+       "</script>"
+      ],
+      "text/plain": [
+       "alt.Chart(...)"
+      ]
      },
      "metadata": {},
      "output_type": "display_data"
@@ -591,7 +952,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 179,
+   "execution_count": 16,
    "metadata": {},
    "outputs": [
     {
@@ -640,7 +1001,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 180,
+   "execution_count": 17,
    "metadata": {},
    "outputs": [
     {
@@ -662,8 +1023,66 @@
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-      "text/plain": "alt.Chart(...)"
+      "text/html": [
+       "\n",
+       "<div id=\"altair-viz-40955606031d44dcad549867a58bdc9f\"></div>\n",
+       "<script type=\"text/javascript\">\n",
+       "  var VEGA_DEBUG = (typeof VEGA_DEBUG == \"undefined\") ? {} : VEGA_DEBUG;\n",
+       "  (function(spec, embedOpt){\n",
+       "    let outputDiv = document.currentScript.previousElementSibling;\n",
+       "    if (outputDiv.id !== \"altair-viz-40955606031d44dcad549867a58bdc9f\") {\n",
+       "      outputDiv = document.getElementById(\"altair-viz-40955606031d44dcad549867a58bdc9f\");\n",
+       "    }\n",
+       "    const paths = {\n",
+       "      \"vega\": \"https://cdn.jsdelivr.net/npm//vega@5?noext\",\n",
+       "      \"vega-lib\": \"https://cdn.jsdelivr.net/npm//vega-lib?noext\",\n",
+       "      \"vega-lite\": \"https://cdn.jsdelivr.net/npm//vega-lite@4.17.0?noext\",\n",
+       "      \"vega-embed\": \"https://cdn.jsdelivr.net/npm//vega-embed@6?noext\",\n",
+       "    };\n",
+       "\n",
+       "    function maybeLoadScript(lib, version) {\n",
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+       "      return (VEGA_DEBUG[key] == version) ?\n",
+       "        Promise.resolve(paths[lib]) :\n",
+       "        new Promise(function(resolve, reject) {\n",
+       "          var s = document.createElement('script');\n",
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+       "          s.async = true;\n",
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+       "          };\n",
+       "          s.onerror = () => reject(`Error loading script: ${paths[lib]}`);\n",
+       "          s.src = paths[lib];\n",
+       "        });\n",
+       "    }\n",
+       "\n",
+       "    function showError(err) {\n",
+       "      outputDiv.innerHTML = `<div class=\"error\" style=\"color:red;\">${err}</div>`;\n",
+       "      throw err;\n",
+       "    }\n",
+       "\n",
+       "    function displayChart(vegaEmbed) {\n",
+       "      vegaEmbed(outputDiv, spec, embedOpt)\n",
+       "        .catch(err => showError(`Javascript Error: ${err.message}<br>This usually means there's a typo in your chart specification. See the javascript console for the full traceback.`));\n",
+       "    }\n",
+       "\n",
+       "    if(typeof define === \"function\" && define.amd) {\n",
+       "      requirejs.config({paths});\n",
+       "      require([\"vega-embed\"], displayChart, err => showError(`Error loading script: ${err.message}`));\n",
+       "    } else {\n",
+       "      maybeLoadScript(\"vega\", \"5\")\n",
+       "        .then(() => maybeLoadScript(\"vega-lite\", \"4.17.0\"))\n",
+       "        .then(() => maybeLoadScript(\"vega-embed\", \"6\"))\n",
+       "        .catch(showError)\n",
+       "        .then(() => displayChart(vegaEmbed));\n",
+       "    }\n",
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+       "</script>"
+      ],
+      "text/plain": [
+       "alt.Chart(...)"
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      },
      "metadata": {},
      "output_type": "display_data"
@@ -697,7 +1116,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 181,
+   "execution_count": 18,
    "metadata": {},
    "outputs": [
     {
@@ -746,7 +1165,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 182,
+   "execution_count": 19,
    "metadata": {},
    "outputs": [
     {
@@ -766,8 +1185,66 @@
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-      "text/plain": "alt.Chart(...)"
+      "text/html": [
+       "\n",
+       "<div id=\"altair-viz-3f52494786fc44e6901ce8f6b23e3318\"></div>\n",
+       "<script type=\"text/javascript\">\n",
+       "  var VEGA_DEBUG = (typeof VEGA_DEBUG == \"undefined\") ? {} : VEGA_DEBUG;\n",
+       "  (function(spec, embedOpt){\n",
+       "    let outputDiv = document.currentScript.previousElementSibling;\n",
+       "    if (outputDiv.id !== \"altair-viz-3f52494786fc44e6901ce8f6b23e3318\") {\n",
+       "      outputDiv = document.getElementById(\"altair-viz-3f52494786fc44e6901ce8f6b23e3318\");\n",
+       "    }\n",
+       "    const paths = {\n",
+       "      \"vega\": \"https://cdn.jsdelivr.net/npm//vega@5?noext\",\n",
+       "      \"vega-lib\": \"https://cdn.jsdelivr.net/npm//vega-lib?noext\",\n",
+       "      \"vega-lite\": \"https://cdn.jsdelivr.net/npm//vega-lite@4.17.0?noext\",\n",
+       "      \"vega-embed\": \"https://cdn.jsdelivr.net/npm//vega-embed@6?noext\",\n",
+       "    };\n",
+       "\n",
+       "    function maybeLoadScript(lib, version) {\n",
+       "      var key = `${lib.replace(\"-\", \"\")}_version`;\n",
+       "      return (VEGA_DEBUG[key] == version) ?\n",
+       "        Promise.resolve(paths[lib]) :\n",
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+       "          s.src = paths[lib];\n",
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+       "\n",
+       "    function showError(err) {\n",
+       "      outputDiv.innerHTML = `<div class=\"error\" style=\"color:red;\">${err}</div>`;\n",
+       "      throw err;\n",
+       "    }\n",
+       "\n",
+       "    function displayChart(vegaEmbed) {\n",
+       "      vegaEmbed(outputDiv, spec, embedOpt)\n",
+       "        .catch(err => showError(`Javascript Error: ${err.message}<br>This usually means there's a typo in your chart specification. See the javascript console for the full traceback.`));\n",
+       "    }\n",
+       "\n",
+       "    if(typeof define === \"function\" && define.amd) {\n",
+       "      requirejs.config({paths});\n",
+       "      require([\"vega-embed\"], displayChart, err => showError(`Error loading script: ${err.message}`));\n",
+       "    } else {\n",
+       "      maybeLoadScript(\"vega\", \"5\")\n",
+       "        .then(() => maybeLoadScript(\"vega-lite\", \"4.17.0\"))\n",
+       "        .then(() => maybeLoadScript(\"vega-embed\", \"6\"))\n",
+       "        .catch(showError)\n",
+       "        .then(() => displayChart(vegaEmbed));\n",
+       "    }\n",
+       "  })({\"config\": {\"view\": {\"continuousWidth\": 400, \"continuousHeight\": 300}}, \"data\": {\"name\": \"data-124c435c1b687eb7890344117a1c86b4\"}, \"mark\": \"point\", \"encoding\": {\"x\": {\"field\": \"temperature\", \"scale\": {\"type\": \"linear\"}, \"type\": \"quantitative\"}, \"y\": {\"field\": \"wind\", \"scale\": {\"type\": \"linear\"}, \"type\": \"quantitative\"}}, \"$schema\": \"https://vega.github.io/schema/vega-lite/v4.17.0.json\", \"datasets\": {\"data-124c435c1b687eb7890344117a1c86b4\": [{\"temperature\": 17.89365303788651, \"wind\": 78.75685633883592, \"precipitation\": 41.61124606702779, \"condition\": \"rain\"}, {\"temperature\": 5.622818441769336, \"wind\": 25.421998841055917, \"precipitation\": 74.90555083684964, \"condition\": \"rain\"}, {\"temperature\": 23.3902094090436, \"wind\": 9.846103163487696, \"precipitation\": 81.33536438710783, \"condition\": \"rain\"}, {\"temperature\": 20.889554427248395, \"wind\": 27.53521295661492, \"precipitation\": 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+       "</script>"
+      ],
+      "text/plain": [
+       "alt.Chart(...)"
+      ]
      },
      "metadata": {},
      "output_type": "display_data"
@@ -791,7 +1268,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 183,
+   "execution_count": 20,
    "metadata": {},
    "outputs": [
     {
@@ -852,7 +1329,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 184,
+   "execution_count": 21,
    "metadata": {},
    "outputs": [
     {
@@ -875,8 +1352,66 @@
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-      "text/plain": "alt.Chart(...)"
+      "text/html": [
+       "\n",
+       "<div id=\"altair-viz-0315458b06324779bfca5bf02434d6d7\"></div>\n",
+       "<script type=\"text/javascript\">\n",
+       "  var VEGA_DEBUG = (typeof VEGA_DEBUG == \"undefined\") ? {} : VEGA_DEBUG;\n",
+       "  (function(spec, embedOpt){\n",
+       "    let outputDiv = document.currentScript.previousElementSibling;\n",
+       "    if (outputDiv.id !== \"altair-viz-0315458b06324779bfca5bf02434d6d7\") {\n",
+       "      outputDiv = document.getElementById(\"altair-viz-0315458b06324779bfca5bf02434d6d7\");\n",
+       "    }\n",
+       "    const paths = {\n",
+       "      \"vega\": \"https://cdn.jsdelivr.net/npm//vega@5?noext\",\n",
+       "      \"vega-lib\": \"https://cdn.jsdelivr.net/npm//vega-lib?noext\",\n",
+       "      \"vega-lite\": \"https://cdn.jsdelivr.net/npm//vega-lite@4.17.0?noext\",\n",
+       "      \"vega-embed\": \"https://cdn.jsdelivr.net/npm//vega-embed@6?noext\",\n",
+       "    };\n",
+       "\n",
+       "    function maybeLoadScript(lib, version) {\n",
+       "      var key = `${lib.replace(\"-\", \"\")}_version`;\n",
+       "      return (VEGA_DEBUG[key] == version) ?\n",
+       "        Promise.resolve(paths[lib]) :\n",
+       "        new Promise(function(resolve, reject) {\n",
+       "          var s = document.createElement('script');\n",
+       "          document.getElementsByTagName(\"head\")[0].appendChild(s);\n",
+       "          s.async = true;\n",
+       "          s.onload = () => {\n",
+       "            VEGA_DEBUG[key] = version;\n",
+       "            return resolve(paths[lib]);\n",
+       "          };\n",
+       "          s.onerror = () => reject(`Error loading script: ${paths[lib]}`);\n",
+       "          s.src = paths[lib];\n",
+       "        });\n",
+       "    }\n",
+       "\n",
+       "    function showError(err) {\n",
+       "      outputDiv.innerHTML = `<div class=\"error\" style=\"color:red;\">${err}</div>`;\n",
+       "      throw err;\n",
+       "    }\n",
+       "\n",
+       "    function displayChart(vegaEmbed) {\n",
+       "      vegaEmbed(outputDiv, spec, embedOpt)\n",
+       "        .catch(err => showError(`Javascript Error: ${err.message}<br>This usually means there's a typo in your chart specification. See the javascript console for the full traceback.`));\n",
+       "    }\n",
+       "\n",
+       "    if(typeof define === \"function\" && define.amd) {\n",
+       "      requirejs.config({paths});\n",
+       "      require([\"vega-embed\"], displayChart, err => showError(`Error loading script: ${err.message}`));\n",
+       "    } else {\n",
+       "      maybeLoadScript(\"vega\", \"5\")\n",
+       "        .then(() => maybeLoadScript(\"vega-lite\", \"4.17.0\"))\n",
+       "        .then(() => maybeLoadScript(\"vega-embed\", \"6\"))\n",
+       "        .catch(showError)\n",
+       "        .then(() => displayChart(vegaEmbed));\n",
+       "    }\n",
+       "  })({\"config\": {\"view\": {\"continuousWidth\": 400, \"continuousHeight\": 300}}, \"data\": {\"name\": \"data-124c435c1b687eb7890344117a1c86b4\"}, \"mark\": \"point\", \"encoding\": {\"color\": {\"field\": \"condition\", \"scale\": {\"type\": \"ordinal\"}, \"type\": \"nominal\"}, \"x\": {\"field\": \"temperature\", \"scale\": {\"type\": \"linear\"}, \"type\": \"quantitative\"}, \"y\": {\"field\": \"wind\", \"scale\": {\"type\": \"linear\"}, \"type\": \"quantitative\"}}, \"$schema\": \"https://vega.github.io/schema/vega-lite/v4.17.0.json\", \"datasets\": {\"data-124c435c1b687eb7890344117a1c86b4\": [{\"temperature\": 17.89365303788651, \"wind\": 78.75685633883592, \"precipitation\": 41.61124606702779, \"condition\": \"rain\"}, {\"temperature\": 5.622818441769336, \"wind\": 25.421998841055917, \"precipitation\": 74.90555083684964, \"condition\": \"rain\"}, {\"temperature\": 23.3902094090436, \"wind\": 9.846103163487696, \"precipitation\": 81.33536438710783, \"condition\": 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+       "</script>"
+      ],
+      "text/plain": [
+       "alt.Chart(...)"
+      ]
      },
      "metadata": {},
      "output_type": "display_data"
@@ -894,7 +1429,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 185,
+   "execution_count": 22,
    "metadata": {},
    "outputs": [
     {
@@ -963,7 +1498,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 186,
+   "execution_count": 23,
    "metadata": {},
    "outputs": [
     {
@@ -986,8 +1521,66 @@
     },
     {
      "data": {
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-      "text/plain": "alt.Chart(...)"
+      "text/html": [
+       "\n",
+       "<div id=\"altair-viz-de5073febaf9418b85be790adfc43747\"></div>\n",
+       "<script type=\"text/javascript\">\n",
+       "  var VEGA_DEBUG = (typeof VEGA_DEBUG == \"undefined\") ? {} : VEGA_DEBUG;\n",
+       "  (function(spec, embedOpt){\n",
+       "    let outputDiv = document.currentScript.previousElementSibling;\n",
+       "    if (outputDiv.id !== \"altair-viz-de5073febaf9418b85be790adfc43747\") {\n",
+       "      outputDiv = document.getElementById(\"altair-viz-de5073febaf9418b85be790adfc43747\");\n",
+       "    }\n",
+       "    const paths = {\n",
+       "      \"vega\": \"https://cdn.jsdelivr.net/npm//vega@5?noext\",\n",
+       "      \"vega-lib\": \"https://cdn.jsdelivr.net/npm//vega-lib?noext\",\n",
+       "      \"vega-lite\": \"https://cdn.jsdelivr.net/npm//vega-lite@4.17.0?noext\",\n",
+       "      \"vega-embed\": \"https://cdn.jsdelivr.net/npm//vega-embed@6?noext\",\n",
+       "    };\n",
+       "\n",
+       "    function maybeLoadScript(lib, version) {\n",
+       "      var key = `${lib.replace(\"-\", \"\")}_version`;\n",
+       "      return (VEGA_DEBUG[key] == version) ?\n",
+       "        Promise.resolve(paths[lib]) :\n",
+       "        new Promise(function(resolve, reject) {\n",
+       "          var s = document.createElement('script');\n",
+       "          document.getElementsByTagName(\"head\")[0].appendChild(s);\n",
+       "          s.async = true;\n",
+       "          s.onload = () => {\n",
+       "            VEGA_DEBUG[key] = version;\n",
+       "            return resolve(paths[lib]);\n",
+       "          };\n",
+       "          s.onerror = () => reject(`Error loading script: ${paths[lib]}`);\n",
+       "          s.src = paths[lib];\n",
+       "        });\n",
+       "    }\n",
+       "\n",
+       "    function showError(err) {\n",
+       "      outputDiv.innerHTML = `<div class=\"error\" style=\"color:red;\">${err}</div>`;\n",
+       "      throw err;\n",
+       "    }\n",
+       "\n",
+       "    function displayChart(vegaEmbed) {\n",
+       "      vegaEmbed(outputDiv, spec, embedOpt)\n",
+       "        .catch(err => showError(`Javascript Error: ${err.message}<br>This usually means there's a typo in your chart specification. See the javascript console for the full traceback.`));\n",
+       "    }\n",
+       "\n",
+       "    if(typeof define === \"function\" && define.amd) {\n",
+       "      requirejs.config({paths});\n",
+       "      require([\"vega-embed\"], displayChart, err => showError(`Error loading script: ${err.message}`));\n",
+       "    } else {\n",
+       "      maybeLoadScript(\"vega\", \"5\")\n",
+       "        .then(() => maybeLoadScript(\"vega-lite\", \"4.17.0\"))\n",
+       "        .then(() => maybeLoadScript(\"vega-embed\", \"6\"))\n",
+       "        .catch(showError)\n",
+       "        .then(() => displayChart(vegaEmbed));\n",
+       "    }\n",
+       "  })({\"config\": {\"view\": {\"continuousWidth\": 400, \"continuousHeight\": 300}}, \"data\": {\"name\": \"data-124c435c1b687eb7890344117a1c86b4\"}, \"mark\": \"point\", \"encoding\": {\"size\": {\"field\": \"precipitation\", \"scale\": {\"type\": \"linear\"}, \"type\": \"quantitative\"}, \"x\": {\"field\": \"temperature\", \"scale\": {\"type\": \"linear\"}, \"type\": \"quantitative\"}, \"y\": {\"field\": \"wind\", \"scale\": {\"type\": \"linear\"}, \"type\": \"quantitative\"}}, \"$schema\": \"https://vega.github.io/schema/vega-lite/v4.17.0.json\", \"datasets\": {\"data-124c435c1b687eb7890344117a1c86b4\": [{\"temperature\": 17.89365303788651, \"wind\": 78.75685633883592, \"precipitation\": 41.61124606702779, \"condition\": \"rain\"}, {\"temperature\": 5.622818441769336, \"wind\": 25.421998841055917, \"precipitation\": 74.90555083684964, \"condition\": \"rain\"}, {\"temperature\": 23.3902094090436, \"wind\": 9.846103163487696, \"precipitation\": 81.33536438710783, 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+       "</script>"
+      ],
+      "text/plain": [
+       "alt.Chart(...)"
+      ]
      },
      "metadata": {},
      "output_type": "display_data"
@@ -1021,7 +1614,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 187,
+   "execution_count": 24,
    "metadata": {},
    "outputs": [
     {
@@ -1076,7 +1669,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 188,
+   "execution_count": 25,
    "metadata": {},
    "outputs": [
     {
@@ -1098,8 +1691,66 @@
     },
     {
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-      "text/plain": "alt.Chart(...)"
+      "text/html": [
+       "\n",
+       "<div id=\"altair-viz-9484947c91d946a78fb71ea822f817da\"></div>\n",
+       "<script type=\"text/javascript\">\n",
+       "  var VEGA_DEBUG = (typeof VEGA_DEBUG == \"undefined\") ? {} : VEGA_DEBUG;\n",
+       "  (function(spec, embedOpt){\n",
+       "    let outputDiv = document.currentScript.previousElementSibling;\n",
+       "    if (outputDiv.id !== \"altair-viz-9484947c91d946a78fb71ea822f817da\") {\n",
+       "      outputDiv = document.getElementById(\"altair-viz-9484947c91d946a78fb71ea822f817da\");\n",
+       "    }\n",
+       "    const paths = {\n",
+       "      \"vega\": \"https://cdn.jsdelivr.net/npm//vega@5?noext\",\n",
+       "      \"vega-lib\": \"https://cdn.jsdelivr.net/npm//vega-lib?noext\",\n",
+       "      \"vega-lite\": \"https://cdn.jsdelivr.net/npm//vega-lite@4.17.0?noext\",\n",
+       "      \"vega-embed\": \"https://cdn.jsdelivr.net/npm//vega-embed@6?noext\",\n",
+       "    };\n",
+       "\n",
+       "    function maybeLoadScript(lib, version) {\n",
+       "      var key = `${lib.replace(\"-\", \"\")}_version`;\n",
+       "      return (VEGA_DEBUG[key] == version) ?\n",
+       "        Promise.resolve(paths[lib]) :\n",
+       "        new Promise(function(resolve, reject) {\n",
+       "          var s = document.createElement('script');\n",
+       "          document.getElementsByTagName(\"head\")[0].appendChild(s);\n",
+       "          s.async = true;\n",
+       "          s.onload = () => {\n",
+       "            VEGA_DEBUG[key] = version;\n",
+       "            return resolve(paths[lib]);\n",
+       "          };\n",
+       "          s.onerror = () => reject(`Error loading script: ${paths[lib]}`);\n",
+       "          s.src = paths[lib];\n",
+       "        });\n",
+       "    }\n",
+       "\n",
+       "    function showError(err) {\n",
+       "      outputDiv.innerHTML = `<div class=\"error\" style=\"color:red;\">${err}</div>`;\n",
+       "      throw err;\n",
+       "    }\n",
+       "\n",
+       "    function displayChart(vegaEmbed) {\n",
+       "      vegaEmbed(outputDiv, spec, embedOpt)\n",
+       "        .catch(err => showError(`Javascript Error: ${err.message}<br>This usually means there's a typo in your chart specification. See the javascript console for the full traceback.`));\n",
+       "    }\n",
+       "\n",
+       "    if(typeof define === \"function\" && define.amd) {\n",
+       "      requirejs.config({paths});\n",
+       "      require([\"vega-embed\"], displayChart, err => showError(`Error loading script: ${err.message}`));\n",
+       "    } else {\n",
+       "      maybeLoadScript(\"vega\", \"5\")\n",
+       "        .then(() => maybeLoadScript(\"vega-lite\", \"4.17.0\"))\n",
+       "        .then(() => maybeLoadScript(\"vega-embed\", \"6\"))\n",
+       "        .catch(showError)\n",
+       "        .then(() => displayChart(vegaEmbed));\n",
+       "    }\n",
+       "  })({\"config\": {\"view\": {\"continuousWidth\": 400, \"continuousHeight\": 300}}, \"data\": {\"name\": \"data-124c435c1b687eb7890344117a1c86b4\"}, \"mark\": \"arc\", \"encoding\": {\"color\": {\"field\": \"condition\", \"scale\": {\"type\": \"ordinal\"}, \"type\": \"nominal\"}, \"theta\": {\"aggregate\": \"count\", \"field\": \"temperature\", \"scale\": {\"type\": \"linear\", \"zero\": true}, \"stack\": \"zero\", \"type\": \"quantitative\"}}, \"$schema\": \"https://vega.github.io/schema/vega-lite/v4.17.0.json\", \"datasets\": {\"data-124c435c1b687eb7890344117a1c86b4\": [{\"temperature\": 17.89365303788651, \"wind\": 78.75685633883592, \"precipitation\": 41.61124606702779, \"condition\": \"rain\"}, {\"temperature\": 5.622818441769336, \"wind\": 25.421998841055917, \"precipitation\": 74.90555083684964, \"condition\": \"rain\"}, {\"temperature\": 23.3902094090436, \"wind\": 9.846103163487696, \"precipitation\": 81.33536438710783, \"condition\": \"rain\"}, {\"temperature\": 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+       "</script>"
+      ],
+      "text/plain": [
+       "alt.Chart(...)"
+      ]
      },
      "metadata": {},
      "output_type": "display_data"
@@ -1129,7 +1780,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 189,
+   "execution_count": 26,
    "metadata": {},
    "outputs": [
     {
@@ -1193,7 +1844,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 190,
+   "execution_count": 27,
    "metadata": {},
    "outputs": [
     {
@@ -1217,8 +1868,66 @@
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-      "text/plain": "alt.Chart(...)"
+      "text/html": [
+       "\n",
+       "<div id=\"altair-viz-c74a57805701497d860de07f0d55f978\"></div>\n",
+       "<script type=\"text/javascript\">\n",
+       "  var VEGA_DEBUG = (typeof VEGA_DEBUG == \"undefined\") ? {} : VEGA_DEBUG;\n",
+       "  (function(spec, embedOpt){\n",
+       "    let outputDiv = document.currentScript.previousElementSibling;\n",
+       "    if (outputDiv.id !== \"altair-viz-c74a57805701497d860de07f0d55f978\") {\n",
+       "      outputDiv = document.getElementById(\"altair-viz-c74a57805701497d860de07f0d55f978\");\n",
+       "    }\n",
+       "    const paths = {\n",
+       "      \"vega\": \"https://cdn.jsdelivr.net/npm//vega@5?noext\",\n",
+       "      \"vega-lib\": \"https://cdn.jsdelivr.net/npm//vega-lib?noext\",\n",
+       "      \"vega-lite\": \"https://cdn.jsdelivr.net/npm//vega-lite@4.17.0?noext\",\n",
+       "      \"vega-embed\": \"https://cdn.jsdelivr.net/npm//vega-embed@6?noext\",\n",
+       "    };\n",
+       "\n",
+       "    function maybeLoadScript(lib, version) {\n",
+       "      var key = `${lib.replace(\"-\", \"\")}_version`;\n",
+       "      return (VEGA_DEBUG[key] == version) ?\n",
+       "        Promise.resolve(paths[lib]) :\n",
+       "        new Promise(function(resolve, reject) {\n",
+       "          var s = document.createElement('script');\n",
+       "          document.getElementsByTagName(\"head\")[0].appendChild(s);\n",
+       "          s.async = true;\n",
+       "          s.onload = () => {\n",
+       "            VEGA_DEBUG[key] = version;\n",
+       "            return resolve(paths[lib]);\n",
+       "          };\n",
+       "          s.onerror = () => reject(`Error loading script: ${paths[lib]}`);\n",
+       "          s.src = paths[lib];\n",
+       "        });\n",
+       "    }\n",
+       "\n",
+       "    function showError(err) {\n",
+       "      outputDiv.innerHTML = `<div class=\"error\" style=\"color:red;\">${err}</div>`;\n",
+       "      throw err;\n",
+       "    }\n",
+       "\n",
+       "    function displayChart(vegaEmbed) {\n",
+       "      vegaEmbed(outputDiv, spec, embedOpt)\n",
+       "        .catch(err => showError(`Javascript Error: ${err.message}<br>This usually means there's a typo in your chart specification. See the javascript console for the full traceback.`));\n",
+       "    }\n",
+       "\n",
+       "    if(typeof define === \"function\" && define.amd) {\n",
+       "      requirejs.config({paths});\n",
+       "      require([\"vega-embed\"], displayChart, err => showError(`Error loading script: ${err.message}`));\n",
+       "    } else {\n",
+       "      maybeLoadScript(\"vega\", \"5\")\n",
+       "        .then(() => maybeLoadScript(\"vega-lite\", \"4.17.0\"))\n",
+       "        .then(() => maybeLoadScript(\"vega-embed\", \"6\"))\n",
+       "        .catch(showError)\n",
+       "        .then(() => displayChart(vegaEmbed));\n",
+       "    }\n",
+       "  })({\"config\": {\"view\": {\"continuousWidth\": 400, \"continuousHeight\": 300}}, \"data\": {\"name\": \"data-124c435c1b687eb7890344117a1c86b4\"}, \"mark\": \"bar\", \"encoding\": {\"color\": {\"field\": \"condition\", \"type\": \"nominal\"}, \"x\": {\"bin\": {\"maxbins\": 10}, \"field\": \"temperature\", \"scale\": {\"type\": \"linear\"}, \"type\": \"quantitative\"}, \"y\": {\"aggregate\": \"count\", \"field\": \"temperature\", \"scale\": {\"type\": \"linear\", \"zero\": true}, \"stack\": \"zero\", \"type\": \"quantitative\"}}, \"$schema\": \"https://vega.github.io/schema/vega-lite/v4.17.0.json\", \"datasets\": {\"data-124c435c1b687eb7890344117a1c86b4\": [{\"temperature\": 17.89365303788651, \"wind\": 78.75685633883592, \"precipitation\": 41.61124606702779, \"condition\": \"rain\"}, {\"temperature\": 5.622818441769336, \"wind\": 25.421998841055917, \"precipitation\": 74.90555083684964, \"condition\": \"rain\"}, {\"temperature\": 23.3902094090436, \"wind\": 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+       "</script>"
+      ],
+      "text/plain": [
+       "alt.Chart(...)"
+      ]
      },
      "metadata": {},
      "output_type": "display_data"
@@ -1254,7 +1963,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 191,
+   "execution_count": 28,
    "metadata": {},
    "outputs": [
     {
@@ -1318,7 +2027,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 192,
+   "execution_count": 29,
    "metadata": {},
    "outputs": [
     {
@@ -1342,8 +2051,66 @@
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-      "text/plain": "alt.Chart(...)"
+      "text/html": [
+       "\n",
+       "<div id=\"altair-viz-5ad1866e83964d789591acd276a7b26f\"></div>\n",
+       "<script type=\"text/javascript\">\n",
+       "  var VEGA_DEBUG = (typeof VEGA_DEBUG == \"undefined\") ? {} : VEGA_DEBUG;\n",
+       "  (function(spec, embedOpt){\n",
+       "    let outputDiv = document.currentScript.previousElementSibling;\n",
+       "    if (outputDiv.id !== \"altair-viz-5ad1866e83964d789591acd276a7b26f\") {\n",
+       "      outputDiv = document.getElementById(\"altair-viz-5ad1866e83964d789591acd276a7b26f\");\n",
+       "    }\n",
+       "    const paths = {\n",
+       "      \"vega\": \"https://cdn.jsdelivr.net/npm//vega@5?noext\",\n",
+       "      \"vega-lib\": \"https://cdn.jsdelivr.net/npm//vega-lib?noext\",\n",
+       "      \"vega-lite\": \"https://cdn.jsdelivr.net/npm//vega-lite@4.17.0?noext\",\n",
+       "      \"vega-embed\": \"https://cdn.jsdelivr.net/npm//vega-embed@6?noext\",\n",
+       "    };\n",
+       "\n",
+       "    function maybeLoadScript(lib, version) {\n",
+       "      var key = `${lib.replace(\"-\", \"\")}_version`;\n",
+       "      return (VEGA_DEBUG[key] == version) ?\n",
+       "        Promise.resolve(paths[lib]) :\n",
+       "        new Promise(function(resolve, reject) {\n",
+       "          var s = document.createElement('script');\n",
+       "          document.getElementsByTagName(\"head\")[0].appendChild(s);\n",
+       "          s.async = true;\n",
+       "          s.onload = () => {\n",
+       "            VEGA_DEBUG[key] = version;\n",
+       "            return resolve(paths[lib]);\n",
+       "          };\n",
+       "          s.onerror = () => reject(`Error loading script: ${paths[lib]}`);\n",
+       "          s.src = paths[lib];\n",
+       "        });\n",
+       "    }\n",
+       "\n",
+       "    function showError(err) {\n",
+       "      outputDiv.innerHTML = `<div class=\"error\" style=\"color:red;\">${err}</div>`;\n",
+       "      throw err;\n",
+       "    }\n",
+       "\n",
+       "    function displayChart(vegaEmbed) {\n",
+       "      vegaEmbed(outputDiv, spec, embedOpt)\n",
+       "        .catch(err => showError(`Javascript Error: ${err.message}<br>This usually means there's a typo in your chart specification. See the javascript console for the full traceback.`));\n",
+       "    }\n",
+       "\n",
+       "    if(typeof define === \"function\" && define.amd) {\n",
+       "      requirejs.config({paths});\n",
+       "      require([\"vega-embed\"], displayChart, err => showError(`Error loading script: ${err.message}`));\n",
+       "    } else {\n",
+       "      maybeLoadScript(\"vega\", \"5\")\n",
+       "        .then(() => maybeLoadScript(\"vega-lite\", \"4.17.0\"))\n",
+       "        .then(() => maybeLoadScript(\"vega-embed\", \"6\"))\n",
+       "        .catch(showError)\n",
+       "        .then(() => displayChart(vegaEmbed));\n",
+       "    }\n",
+       "  })({\"config\": {\"view\": {\"continuousWidth\": 400, \"continuousHeight\": 300}}, \"data\": {\"name\": \"data-124c435c1b687eb7890344117a1c86b4\"}, \"mark\": \"bar\", \"encoding\": {\"color\": {\"field\": \"condition\", \"type\": \"nominal\"}, \"x\": {\"aggregate\": \"count\", \"field\": \"temperature\", \"scale\": {\"type\": \"linear\", \"zero\": true}, \"stack\": \"normalize\", \"type\": \"quantitative\"}, \"y\": {\"bin\": {\"maxbins\": 10}, \"field\": \"temperature\", \"scale\": {\"type\": \"linear\"}, \"type\": \"quantitative\"}}, \"$schema\": \"https://vega.github.io/schema/vega-lite/v4.17.0.json\", \"datasets\": {\"data-124c435c1b687eb7890344117a1c86b4\": [{\"temperature\": 17.89365303788651, \"wind\": 78.75685633883592, \"precipitation\": 41.61124606702779, \"condition\": \"rain\"}, {\"temperature\": 5.622818441769336, \"wind\": 25.421998841055917, \"precipitation\": 74.90555083684964, \"condition\": \"rain\"}, {\"temperature\": 23.3902094090436, \"wind\": 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+       "</script>"
+      ],
+      "text/plain": [
+       "alt.Chart(...)"
+      ]
      },
      "metadata": {},
      "output_type": "display_data"
@@ -1386,7 +2153,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 193,
+   "execution_count": 30,
    "metadata": {},
    "outputs": [
     {
@@ -1434,7 +2201,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 194,
+   "execution_count": 31,
    "metadata": {},
    "outputs": [
     {
@@ -1456,8 +2223,66 @@
     },
     {
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+       "<script type=\"text/javascript\">\n",
+       "  var VEGA_DEBUG = (typeof VEGA_DEBUG == \"undefined\") ? {} : VEGA_DEBUG;\n",
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+       "    let outputDiv = document.currentScript.previousElementSibling;\n",
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+       "\n",
+       "    if(typeof define === \"function\" && define.amd) {\n",
+       "      requirejs.config({paths});\n",
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+       "    } else {\n",
+       "      maybeLoadScript(\"vega\", \"5\")\n",
+       "        .then(() => maybeLoadScript(\"vega-lite\", \"4.17.0\"))\n",
+       "        .then(() => maybeLoadScript(\"vega-embed\", \"6\"))\n",
+       "        .catch(showError)\n",
+       "        .then(() => displayChart(vegaEmbed));\n",
+       "    }\n",
+       "  })({\"config\": {\"view\": {\"continuousWidth\": 400, \"continuousHeight\": 300}}, \"layer\": [{\"mark\": \"bar\", \"encoding\": {\"x\": {\"aggregate\": \"mean\", \"field\": \"temperature\", \"scale\": {\"type\": \"linear\", \"zero\": true}, \"type\": \"quantitative\"}}}, {\"mark\": \"tick\", \"encoding\": {\"x\": {\"field\": \"temperature\", \"scale\": {\"type\": \"linear\", \"zero\": true}, \"type\": \"quantitative\"}}}], \"data\": {\"name\": \"data-124c435c1b687eb7890344117a1c86b4\"}, \"$schema\": \"https://vega.github.io/schema/vega-lite/v4.17.0.json\", \"datasets\": {\"data-124c435c1b687eb7890344117a1c86b4\": [{\"temperature\": 17.89365303788651, \"wind\": 78.75685633883592, \"precipitation\": 41.61124606702779, \"condition\": \"rain\"}, {\"temperature\": 5.622818441769336, \"wind\": 25.421998841055917, \"precipitation\": 74.90555083684964, \"condition\": \"rain\"}, {\"temperature\": 23.3902094090436, \"wind\": 9.846103163487696, \"precipitation\": 81.33536438710783, 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+       "</script>"
+      ],
+      "text/plain": [
+       "alt.LayerChart(...)"
+      ]
      },
      "metadata": {},
      "output_type": "display_data"
@@ -1499,7 +2324,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 195,
+   "execution_count": 32,
    "metadata": {},
    "outputs": [
     {
@@ -1556,7 +2381,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 196,
+   "execution_count": 33,
    "metadata": {},
    "outputs": [
     {
@@ -1573,8 +2398,66 @@
     },
     {
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-      "text/plain": "alt.FacetChart(...)"
+      "text/html": [
+       "\n",
+       "<div id=\"altair-viz-78c0ce065a314936aedb0821d8e70086\"></div>\n",
+       "<script type=\"text/javascript\">\n",
+       "  var VEGA_DEBUG = (typeof VEGA_DEBUG == \"undefined\") ? {} : VEGA_DEBUG;\n",
+       "  (function(spec, embedOpt){\n",
+       "    let outputDiv = document.currentScript.previousElementSibling;\n",
+       "    if (outputDiv.id !== \"altair-viz-78c0ce065a314936aedb0821d8e70086\") {\n",
+       "      outputDiv = document.getElementById(\"altair-viz-78c0ce065a314936aedb0821d8e70086\");\n",
+       "    }\n",
+       "    const paths = {\n",
+       "      \"vega\": \"https://cdn.jsdelivr.net/npm//vega@5?noext\",\n",
+       "      \"vega-lib\": \"https://cdn.jsdelivr.net/npm//vega-lib?noext\",\n",
+       "      \"vega-lite\": \"https://cdn.jsdelivr.net/npm//vega-lite@4.17.0?noext\",\n",
+       "      \"vega-embed\": \"https://cdn.jsdelivr.net/npm//vega-embed@6?noext\",\n",
+       "    };\n",
+       "\n",
+       "    function maybeLoadScript(lib, version) {\n",
+       "      var key = `${lib.replace(\"-\", \"\")}_version`;\n",
+       "      return (VEGA_DEBUG[key] == version) ?\n",
+       "        Promise.resolve(paths[lib]) :\n",
+       "        new Promise(function(resolve, reject) {\n",
+       "          var s = document.createElement('script');\n",
+       "          document.getElementsByTagName(\"head\")[0].appendChild(s);\n",
+       "          s.async = true;\n",
+       "          s.onload = () => {\n",
+       "            VEGA_DEBUG[key] = version;\n",
+       "            return resolve(paths[lib]);\n",
+       "          };\n",
+       "          s.onerror = () => reject(`Error loading script: ${paths[lib]}`);\n",
+       "          s.src = paths[lib];\n",
+       "        });\n",
+       "    }\n",
+       "\n",
+       "    function showError(err) {\n",
+       "      outputDiv.innerHTML = `<div class=\"error\" style=\"color:red;\">${err}</div>`;\n",
+       "      throw err;\n",
+       "    }\n",
+       "\n",
+       "    function displayChart(vegaEmbed) {\n",
+       "      vegaEmbed(outputDiv, spec, embedOpt)\n",
+       "        .catch(err => showError(`Javascript Error: ${err.message}<br>This usually means there's a typo in your chart specification. See the javascript console for the full traceback.`));\n",
+       "    }\n",
+       "\n",
+       "    if(typeof define === \"function\" && define.amd) {\n",
+       "      requirejs.config({paths});\n",
+       "      require([\"vega-embed\"], displayChart, err => showError(`Error loading script: ${err.message}`));\n",
+       "    } else {\n",
+       "      maybeLoadScript(\"vega\", \"5\")\n",
+       "        .then(() => maybeLoadScript(\"vega-lite\", \"4.17.0\"))\n",
+       "        .then(() => maybeLoadScript(\"vega-embed\", \"6\"))\n",
+       "        .catch(showError)\n",
+       "        .then(() => displayChart(vegaEmbed));\n",
+       "    }\n",
+       "  })({\"config\": {\"view\": {\"continuousWidth\": 400, \"continuousHeight\": 300}}, \"data\": {\"name\": \"data-124c435c1b687eb7890344117a1c86b4\"}, \"facet\": {\"column\": {\"field\": \"condition\", \"type\": \"nominal\"}}, \"spec\": {\"mark\": \"point\", \"encoding\": {\"x\": {\"field\": \"temperature\", \"type\": \"quantitative\"}, \"y\": {\"field\": \"wind\", \"type\": \"quantitative\"}}}, \"$schema\": \"https://vega.github.io/schema/vega-lite/v4.17.0.json\", \"datasets\": {\"data-124c435c1b687eb7890344117a1c86b4\": [{\"temperature\": 17.89365303788651, \"wind\": 78.75685633883592, \"precipitation\": 41.61124606702779, \"condition\": \"rain\"}, {\"temperature\": 5.622818441769336, \"wind\": 25.421998841055917, \"precipitation\": 74.90555083684964, \"condition\": \"rain\"}, {\"temperature\": 23.3902094090436, \"wind\": 9.846103163487696, \"precipitation\": 81.33536438710783, \"condition\": \"rain\"}, {\"temperature\": 20.889554427248395, \"wind\": 27.53521295661492, 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+      ],
+      "text/plain": [
+       "alt.FacetChart(...)"
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      "output_type": "display_data"
@@ -1599,7 +2482,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 197,
+   "execution_count": 34,
    "metadata": {},
    "outputs": [
     {
@@ -1657,7 +2540,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 198,
+   "execution_count": 35,
    "metadata": {},
    "outputs": [
     {
@@ -1680,8 +2563,66 @@
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+      "text/html": [
+       "\n",
+       "<div id=\"altair-viz-c5fe3d16deb44be486d19b73d85fc6db\"></div>\n",
+       "<script type=\"text/javascript\">\n",
+       "  var VEGA_DEBUG = (typeof VEGA_DEBUG == \"undefined\") ? {} : VEGA_DEBUG;\n",
+       "  (function(spec, embedOpt){\n",
+       "    let outputDiv = document.currentScript.previousElementSibling;\n",
+       "    if (outputDiv.id !== \"altair-viz-c5fe3d16deb44be486d19b73d85fc6db\") {\n",
+       "      outputDiv = document.getElementById(\"altair-viz-c5fe3d16deb44be486d19b73d85fc6db\");\n",
+       "    }\n",
+       "    const paths = {\n",
+       "      \"vega\": \"https://cdn.jsdelivr.net/npm//vega@5?noext\",\n",
+       "      \"vega-lib\": \"https://cdn.jsdelivr.net/npm//vega-lib?noext\",\n",
+       "      \"vega-lite\": \"https://cdn.jsdelivr.net/npm//vega-lite@4.17.0?noext\",\n",
+       "      \"vega-embed\": \"https://cdn.jsdelivr.net/npm//vega-embed@6?noext\",\n",
+       "    };\n",
+       "\n",
+       "    function maybeLoadScript(lib, version) {\n",
+       "      var key = `${lib.replace(\"-\", \"\")}_version`;\n",
+       "      return (VEGA_DEBUG[key] == version) ?\n",
+       "        Promise.resolve(paths[lib]) :\n",
+       "        new Promise(function(resolve, reject) {\n",
+       "          var s = document.createElement('script');\n",
+       "          document.getElementsByTagName(\"head\")[0].appendChild(s);\n",
+       "          s.async = true;\n",
+       "          s.onload = () => {\n",
+       "            VEGA_DEBUG[key] = version;\n",
+       "            return resolve(paths[lib]);\n",
+       "          };\n",
+       "          s.onerror = () => reject(`Error loading script: ${paths[lib]}`);\n",
+       "          s.src = paths[lib];\n",
+       "        });\n",
+       "    }\n",
+       "\n",
+       "    function showError(err) {\n",
+       "      outputDiv.innerHTML = `<div class=\"error\" style=\"color:red;\">${err}</div>`;\n",
+       "      throw err;\n",
+       "    }\n",
+       "\n",
+       "    function displayChart(vegaEmbed) {\n",
+       "      vegaEmbed(outputDiv, spec, embedOpt)\n",
+       "        .catch(err => showError(`Javascript Error: ${err.message}<br>This usually means there's a typo in your chart specification. See the javascript console for the full traceback.`));\n",
+       "    }\n",
+       "\n",
+       "    if(typeof define === \"function\" && define.amd) {\n",
+       "      requirejs.config({paths});\n",
+       "      require([\"vega-embed\"], displayChart, err => showError(`Error loading script: ${err.message}`));\n",
+       "    } else {\n",
+       "      maybeLoadScript(\"vega\", \"5\")\n",
+       "        .then(() => maybeLoadScript(\"vega-lite\", \"4.17.0\"))\n",
+       "        .then(() => maybeLoadScript(\"vega-embed\", \"6\"))\n",
+       "        .catch(showError)\n",
+       "        .then(() => displayChart(vegaEmbed));\n",
+       "    }\n",
+       "  })({\"config\": {\"view\": {\"continuousWidth\": 400, \"continuousHeight\": 300}}, \"data\": {\"name\": \"data-124c435c1b687eb7890344117a1c86b4\"}, \"facet\": {\"column\": {\"bin\": {\"maxbins\": 10}, \"field\": \"temperature\", \"type\": \"quantitative\"}}, \"spec\": {\"mark\": \"point\", \"encoding\": {\"x\": {\"field\": \"condition\", \"scale\": {\"type\": \"ordinal\"}, \"type\": \"nominal\"}, \"y\": {\"field\": \"wind\", \"scale\": {\"type\": \"linear\"}, \"type\": \"quantitative\"}}}, \"$schema\": \"https://vega.github.io/schema/vega-lite/v4.17.0.json\", \"datasets\": {\"data-124c435c1b687eb7890344117a1c86b4\": [{\"temperature\": 17.89365303788651, \"wind\": 78.75685633883592, \"precipitation\": 41.61124606702779, \"condition\": \"rain\"}, {\"temperature\": 5.622818441769336, \"wind\": 25.421998841055917, \"precipitation\": 74.90555083684964, \"condition\": \"rain\"}, {\"temperature\": 23.3902094090436, \"wind\": 9.846103163487696, \"precipitation\": 81.33536438710783, 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\"condition\": \"snow\"}, {\"temperature\": 0.1789559651072139, \"wind\": 37.144396583281235, \"precipitation\": 7.3927878065009445, \"condition\": \"snow\"}, {\"temperature\": 37.90262114384076, \"wind\": 23.744567572534315, \"precipitation\": 85.44013318397162, \"condition\": \"fog\"}, {\"temperature\": 40.40503203411964, \"wind\": 71.68155336881077, \"precipitation\": 91.260802513042, \"condition\": \"snow\"}, {\"temperature\": 2.723433474361908, \"wind\": 5.85694236985378, \"precipitation\": 54.0295184169758, \"condition\": \"drizzle\"}, {\"temperature\": 9.452609321039336, \"wind\": 52.7843932253772, \"precipitation\": 90.04450333194686, \"condition\": \"fog\"}, {\"temperature\": 18.909153974667404, \"wind\": 13.725377509230263, \"precipitation\": 34.56974350594094, \"condition\": \"sun\"}]}}, {\"mode\": \"vega-lite\"});\n",
+       "</script>"
+      ],
+      "text/plain": [
+       "alt.FacetChart(...)"
+      ]
      },
      "metadata": {},
      "output_type": "display_data"
@@ -1715,7 +2656,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 199,
+   "execution_count": 36,
    "metadata": {},
    "outputs": [
     {
@@ -1778,7 +2719,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 200,
+   "execution_count": 37,
    "metadata": {},
    "outputs": [
     {
@@ -1802,8 +2743,66 @@
     },
     {
      "data": {
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-      "text/plain": "alt.HConcatChart(...)"
+      "text/html": [
+       "\n",
+       "<div id=\"altair-viz-cdbdf127e8b64521aae43ca79c62170b\"></div>\n",
+       "<script type=\"text/javascript\">\n",
+       "  var VEGA_DEBUG = (typeof VEGA_DEBUG == \"undefined\") ? {} : VEGA_DEBUG;\n",
+       "  (function(spec, embedOpt){\n",
+       "    let outputDiv = document.currentScript.previousElementSibling;\n",
+       "    if (outputDiv.id !== \"altair-viz-cdbdf127e8b64521aae43ca79c62170b\") {\n",
+       "      outputDiv = document.getElementById(\"altair-viz-cdbdf127e8b64521aae43ca79c62170b\");\n",
+       "    }\n",
+       "    const paths = {\n",
+       "      \"vega\": \"https://cdn.jsdelivr.net/npm//vega@5?noext\",\n",
+       "      \"vega-lib\": \"https://cdn.jsdelivr.net/npm//vega-lib?noext\",\n",
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+       "      \"vega-embed\": \"https://cdn.jsdelivr.net/npm//vega-embed@6?noext\",\n",
+       "    };\n",
+       "\n",
+       "    function maybeLoadScript(lib, version) {\n",
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+       "\n",
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+       "      outputDiv.innerHTML = `<div class=\"error\" style=\"color:red;\">${err}</div>`;\n",
+       "      throw err;\n",
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+       "      vegaEmbed(outputDiv, spec, embedOpt)\n",
+       "        .catch(err => showError(`Javascript Error: ${err.message}<br>This usually means there's a typo in your chart specification. See the javascript console for the full traceback.`));\n",
+       "    }\n",
+       "\n",
+       "    if(typeof define === \"function\" && define.amd) {\n",
+       "      requirejs.config({paths});\n",
+       "      require([\"vega-embed\"], displayChart, err => showError(`Error loading script: ${err.message}`));\n",
+       "    } else {\n",
+       "      maybeLoadScript(\"vega\", \"5\")\n",
+       "        .then(() => maybeLoadScript(\"vega-lite\", \"4.17.0\"))\n",
+       "        .then(() => maybeLoadScript(\"vega-embed\", \"6\"))\n",
+       "        .catch(showError)\n",
+       "        .then(() => displayChart(vegaEmbed));\n",
+       "    }\n",
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+       "</script>"
+      ],
+      "text/plain": [
+       "alt.HConcatChart(...)"
+      ]
      },
      "metadata": {},
      "output_type": "display_data"
@@ -1839,7 +2838,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 201,
+   "execution_count": 38,
    "metadata": {},
    "outputs": [
     {
@@ -1900,7 +2899,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 202,
+   "execution_count": 39,
    "metadata": {},
    "outputs": [
     {
@@ -1922,8 +2921,66 @@
     },
     {
      "data": {
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-      "text/plain": "alt.HConcatChart(...)"
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+       "<script type=\"text/javascript\">\n",
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+       "    }\n",
+       "\n",
+       "    if(typeof define === \"function\" && define.amd) {\n",
+       "      requirejs.config({paths});\n",
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{\"temperature\": 40.99117292213711, \"wind\": 12.537186007473021, \"precipitation\": 3.0957134444521195, \"condition\": \"drizzle\"}, {\"temperature\": 36.29560583814439, \"wind\": 47.282861379528676, \"precipitation\": 50.72175472263106, \"condition\": \"fog\"}, {\"temperature\": 8.011942225789358, \"wind\": 80.64679426688298, \"precipitation\": 84.74031260132877, \"condition\": \"sun\"}, {\"temperature\": 32.64189921238727, \"wind\": 78.38867921926278, \"precipitation\": 94.27015659699374, \"condition\": \"fog\"}, {\"temperature\": -4.159829210634211, \"wind\": 53.39060475873939, \"precipitation\": 50.60795287404672, \"condition\": \"fog\"}, {\"temperature\": -6.602296737522483, \"wind\": 86.55899134629715, \"precipitation\": 62.64697378600636, \"condition\": \"fog\"}, {\"temperature\": 40.135239145180655, \"wind\": 16.633704419495032, \"precipitation\": 41.391087682479736, \"condition\": \"drizzle\"}, {\"temperature\": 26.95881305440288, \"wind\": 85.8809786017975, \"precipitation\": 71.9617762842435, \"condition\": \"drizzle\"}, {\"temperature\": 11.92991543604046, \"wind\": 76.39140196294017, \"precipitation\": 60.40612399492309, \"condition\": \"drizzle\"}, {\"temperature\": 19.566301202766702, \"wind\": 72.97802286558691, \"precipitation\": 29.681848692175006, \"condition\": \"drizzle\"}, {\"temperature\": 10.481864045771506, \"wind\": 10.269367839292642, \"precipitation\": 85.87287289024248, \"condition\": \"rain\"}, {\"temperature\": -9.620152753805623, \"wind\": 64.57630699894213, \"precipitation\": 29.06583641537993, \"condition\": \"drizzle\"}, {\"temperature\": 24.85823346816882, \"wind\": 64.44200648973889, \"precipitation\": 32.79358601401415, \"condition\": \"sun\"}, {\"temperature\": -9.71401231081625, \"wind\": 46.94482107365025, \"precipitation\": 71.95828763550503, \"condition\": \"rain\"}, {\"temperature\": 15.802582568794556, \"wind\": 5.568264782160037, \"precipitation\": 16.50277435360922, \"condition\": \"sun\"}, {\"temperature\": 29.44740698845427, \"wind\": 66.4224540835048, \"precipitation\": 96.91347272575433, \"condition\": \"snow\"}, {\"temperature\": 0.1789559651072139, \"wind\": 37.144396583281235, \"precipitation\": 7.3927878065009445, \"condition\": \"snow\"}, {\"temperature\": 37.90262114384076, \"wind\": 23.744567572534315, \"precipitation\": 85.44013318397162, \"condition\": \"fog\"}, {\"temperature\": 40.40503203411964, \"wind\": 71.68155336881077, \"precipitation\": 91.260802513042, \"condition\": \"snow\"}, {\"temperature\": 2.723433474361908, \"wind\": 5.85694236985378, \"precipitation\": 54.0295184169758, \"condition\": \"drizzle\"}, {\"temperature\": 9.452609321039336, \"wind\": 52.7843932253772, \"precipitation\": 90.04450333194686, \"condition\": \"fog\"}, {\"temperature\": 18.909153974667404, \"wind\": 13.725377509230263, \"precipitation\": 34.56974350594094, \"condition\": \"sun\"}]}}, {\"mode\": \"vega-lite\"});\n",
+       "</script>"
+      ],
+      "text/plain": [
+       "alt.HConcatChart(...)"
+      ]
      },
      "metadata": {},
      "output_type": "display_data"
@@ -1945,127 +3002,17 @@
     "display_chart(chart)"
    ]
   },
-  {
-   "cell_type": "code",
-   "execution_count": 203,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "from typing import Mapping, Generic, TypeVar\n",
-    "from abc import ABC, abstractmethod\n",
-    "\n",
-    "T = TypeVar(\"T\")\n",
-    "SpecProperty = str | int | float | bool | None | dict\n",
-    "\n",
-    "\n",
-    "class BaseRenderer(ABC, Generic[T]):\n",
-    "    \"\"\"\n",
-    "    Base class for all renderers.\n",
-    "    \"\"\"\n",
-    "\n",
-    "    def render(self, spec: Mapping) -> T:\n",
-    "        \"\"\"\n",
-    "        Render a dictionary-based specification\n",
-    "        into a concrete rendering product of type `T`.\n",
-    "        The rendering object's actual type depends on the concrete renderer.\n",
-    "\n",
-    "        :param spec: dictionary-based specification\n",
-    "        :return: product of the rendering\n",
-    "        \"\"\"\n",
-    "\n",
-    "        def visit_mapping(\n",
-    "            dct: Mapping, path: tuple[str | int, ...] = (), acc: T = self._initial\n",
-    "        ):\n",
-    "            \"\"\"\n",
-    "            Recursively visit a dictionary-based specification.\n",
-    "\n",
-    "            :param dct: dictionary-based specification\n",
-    "            :param path: path to the current node\n",
-    "            :param acc: accumulated rendering product\n",
-    "            \"\"\"\n",
-    "            for key, value in dct.items():\n",
-    "                if isinstance(value, dict):\n",
-    "                    # if the current value does not have further dicts in it, then call the visitor\n",
-    "                    if not any(isinstance(v, dict) for v in value.values()):\n",
-    "                        acc = self._visitor(value, path + (key,), acc)\n",
-    "                    else:\n",
-    "                        visit_mapping(value, path + (key,), acc)\n",
-    "                elif isinstance(value, list):\n",
-    "                    for i, item in enumerate(value):\n",
-    "                        visit_mapping(item, path + (key, i), acc)\n",
-    "                else:\n",
-    "                    acc = self._visitor(value, path + (key,), acc)\n",
-    "\n",
-    "        return visit_mapping(spec)\n",
-    "\n",
-    "    @property\n",
-    "    @abstractmethod\n",
-    "    def _initial(self) -> T:\n",
-    "        raise NotImplementedError\n",
-    "\n",
-    "    @abstractmethod\n",
-    "    def _visitor(self, value: SpecProperty, path: tuple[str | int, ...], acc: T) -> T:\n",
-    "        raise NotImplementedError\n",
-    "\n",
-    "\n",
-    "class VegaLiteRenderer(BaseRenderer):\n",
-    "    @property\n",
-    "    def _initial(self) -> T:\n",
-    "        return {}\n",
-    "\n",
-    "    def _visitor(self, value: SpecProperty, path: tuple[str | int, ...], acc: T) -> T:\n",
-    "        print(path, value)\n",
-    "        return acc"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 205,
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "{'number_rows': 100, 'field': [{'name': 'temperature', 'type': 'number'}, {'name': 'condition', 'type': 'string'}], 'view': [{'mark': [{'type': 'tick', 'encoding': [{'channel': 'y', 'field': 'temperature'}]}]}, {'mark': [{'type': 'bar', 'encoding': [{'channel': 'y', 'field': 'temperature', 'aggregate': 'mean'}, {'channel': 'x', 'field': 'condition'}]}], 'scale': [{'channel': 'x', 'type': 'ordinal'}]}], 'scale': [{'channel': 'y', 'type': 'linear', 'zero': 'true'}]}\n",
-      "('number_rows',) 100\n",
-      "('field', 0, 'name') temperature\n",
-      "('field', 0, 'type') number\n",
-      "('field', 1, 'name') condition\n",
-      "('field', 1, 'type') string\n",
-      "('view', 0, 'mark', 0, 'type') tick\n",
-      "('view', 0, 'mark', 0, 'encoding', 0, 'channel') y\n",
-      "('view', 0, 'mark', 0, 'encoding', 0, 'field') temperature\n",
-      "('view', 1, 'mark', 0, 'type') bar\n",
-      "('view', 1, 'mark', 0, 'encoding', 0, 'channel') y\n",
-      "('view', 1, 'mark', 0, 'encoding', 0, 'field') temperature\n",
-      "('view', 1, 'mark', 0, 'encoding', 0, 'aggregate') mean\n",
-      "('view', 1, 'mark', 0, 'encoding', 1, 'channel') x\n",
-      "('view', 1, 'mark', 0, 'encoding', 1, 'field') condition\n",
-      "('view', 1, 'scale', 0, 'channel') x\n",
-      "('view', 1, 'scale', 0, 'type') ordinal\n",
-      "('scale', 0, 'channel') y\n",
-      "('scale', 0, 'type') linear\n",
-      "('scale', 0, 'zero') true\n"
-     ]
-    }
-   ],
-   "source": [
-    "vl = VegaLiteRenderer()\n",
-    "print(spec)\n",
-    "vl.render(spec)"
-   ],
-   "metadata": {
-    "collapsed": false
-   }
-  },
   {
    "cell_type": "code",
    "execution_count": null,
-   "outputs": [],
-   "source": [],
    "metadata": {
-    "collapsed": false
-   }
+    "collapsed": false,
+    "jupyter": {
+     "outputs_hidden": false
+    }
+   },
+   "outputs": [],
+   "source": []
   }
  ],
  "metadata": {
@@ -2084,9 +3031,9 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.3"
+   "version": "3.10.0"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 1
+ "nbformat_minor": 4
 }
diff --git a/draco/renderer.py b/draco/renderer.py
deleted file mode 100644
index dc98d9f5..00000000
--- a/draco/renderer.py
+++ /dev/null
@@ -1,155 +0,0 @@
-from abc import ABC, abstractmethod
-from dataclasses import dataclass, field
-from typing import Generic, Optional, TypeVar
-
-from draco.utils import dict_value_by_path
-
-T = TypeVar("T")
-SpecProperty = str | int | float | bool | None | dict | list
-
-
-@dataclass(frozen=True, kw_only=True)
-class VisitedItem(Generic[T]):
-    value: SpecProperty
-    path: tuple[int | str, ...]
-    acc: T = field(repr=False)
-    spec: dict = field(repr=False)
-
-    @property
-    def parent(self) -> Optional["VisitedItem"]:
-        has_parent = len(self.path) > 0
-        if has_parent:
-            parent_path = self.path[:-1]
-            value = dict_value_by_path(self.spec, parent_path)
-            return VisitedItem(
-                value=value, path=parent_path, acc=self.acc, spec=self.spec
-            )
-        return None
-
-
-class BaseRenderer(ABC, Generic[T]):
-    """
-    Base class for all renderers.
-    """
-
-    def render(self, spec: dict) -> T:
-        """
-        Render a dictionary-based specification
-        into a concrete rendering product of type `T`.
-        The rendering object's actual type depends on the concrete renderer.
-
-        :param spec: dictionary-based specification
-        :return: product of the rendering
-        """
-
-        def traverse(dct: dict, path: tuple[str | int, ...], acc: T):
-            """
-            Recursively visit a dictionary-based specification.
-
-            :param dct: dictionary-based specification
-            :param path: path to the current node
-            :param acc: accumulated rendering product
-            :return: the most recent rendering product
-            """
-            has_complex_children = any(
-                isinstance(v, dict) or isinstance(v, list) for v in dct.values()
-            )
-            if not has_complex_children:
-                return self._visitor(
-                    VisitedItem(value=dct, path=path, acc=acc, spec=spec)
-                )
-
-            for key, value in dct.items():
-                if isinstance(value, dict):
-                    acc = traverse(value, path + (key,), acc)
-                elif isinstance(value, list):
-                    for i, item in enumerate(value):
-                        acc = traverse(item, path + (key, i), acc)
-                else:
-                    acc = self._visitor(
-                        VisitedItem(value=value, path=path + (key,), acc=acc, spec=spec)
-                    )
-            return acc
-
-        return traverse(dct=spec, path=(), acc=self._initial)
-
-    @property
-    @abstractmethod
-    def _initial(self) -> T:
-        """
-        :return: The initial rendering product to start with.
-        """
-        raise NotImplementedError
-
-    @abstractmethod
-    def _visitor(self, item: VisitedItem[T]) -> T:
-        """
-        The callback to be invoked for each visited item of the specification.
-        Should be implemented by concrete renderers to produce the rendering product
-        step-by-step based on the contents of the supplied `payload`.
-
-        :param item: the visited item
-        :return: the updated rendering product
-        """
-        raise NotImplementedError
-
-
-class VegaLiteRenderer(BaseRenderer[dict]):
-    @property
-    def _initial(self) -> dict:
-        return {"x": 0}
-
-    def _visitor(self, item: VisitedItem) -> dict:
-        print(item)
-        return {"x": item.acc["x"] + 1}
-
-
-if __name__ == "__main__":
-    from draco.fact_utils import answer_set_to_dict
-    from draco.run import run_clingo
-
-    def facts_to_dict(facts: list[str]):
-        result = run_clingo(facts)
-        return answer_set_to_dict(next(result).answer_set)
-
-    facts = [
-        "attribute(number_rows,root,100).",
-        "entity(field,root,temperature).",
-        "attribute((field,name),temperature,temperature).",
-        "attribute((field,type),temperature,number).",
-        "entity(field,root,condition).",
-        "attribute((field,name),condition,condition).",
-        "attribute((field,type),condition,string).",
-        "entity(view,root,0).",
-        "entity(mark,0,1).",
-        "attribute((mark,type),1,tick).",
-        "entity(encoding,1,2).",
-        "attribute((encoding,channel),2,y).",
-        "attribute((encoding,field),2,temperature).",
-        "entity(view,root,3).",
-        "entity(mark,3,4).",
-        "attribute((mark,type),4,bar).",
-        "entity(encoding,4,5).",
-        "attribute((encoding,channel),5,y).",
-        "attribute((encoding,field),5,temperature).",
-        "attribute((encoding,aggregate),5,mean).",
-        "entity(encoding,4,6).",
-        "attribute((encoding,channel),6,x).",
-        "attribute((encoding,field),6,condition).",
-        "entity(scale,3,7).",
-        "attribute((scale,channel),7,x).",
-        "attribute((scale,type),7,ordinal).",
-        "entity(scale,root,8).",
-        "attribute((scale,channel),8,y).",
-        "attribute((scale,type),8,linear).",
-        "attribute((scale,zero),8,true).",
-    ]
-    spec = facts_to_dict(facts)
-    from pprint import pprint
-
-    pprint(spec)
-    print()
-
-    vl = VegaLiteRenderer()
-    product = vl.render(dict(spec))
-    print(product)
diff --git a/draco/renderer/__init__.py b/draco/renderer/__init__.py
new file mode 100644
index 00000000..e69de29b
diff --git a/draco/renderer/base_renderer.py b/draco/renderer/base_renderer.py
new file mode 100644
index 00000000..6426514d
--- /dev/null
+++ b/draco/renderer/base_renderer.py
@@ -0,0 +1,150 @@
+from abc import ABC, abstractmethod
+from dataclasses import dataclass, field
+from functools import cached_property
+from typing import Generic, Optional, TypeVar
+
+from pandas import DataFrame
+
+from draco.utils import dict_value_by_path
+
+T = TypeVar("T")
+SpecProperty = str | int | float | bool | None | dict | list
+
+
+@dataclass(frozen=True)
+class _VisitedItemRaw(Generic[T]):
+    value: SpecProperty
+    path: tuple[int | str, ...]
+    acc: T = field(repr=False)
+
+
+@dataclass(frozen=True)
+class VisitedItem(Generic[T]):
+    item: _VisitedItemRaw[T]
+    spec: dict = field(repr=False)
+
+    @property
+    def value(self) -> SpecProperty:
+        return self.item.value
+
+    @property
+    def path(self) -> tuple[int | str, ...]:
+        return self.item.path
+
+    @property
+    def acc(self) -> T:
+        return self.item.acc
+
+    @property
+    def type(self) -> str:
+        is_list_element = isinstance(self.path[-1], int)
+        if is_list_element:
+            return self.path[-2]
+        return self.path[-1]
+
+    @cached_property
+    def parent(self) -> Optional["VisitedItem"]:
+        raw_parent = self.__parent()
+        if raw_parent is not None:
+            return VisitedItem(item=raw_parent, spec=self.spec)
+        return None
+
+    def __parent(self) -> _VisitedItemRaw | None:
+        has_parent = len(self.path) > 1
+        if has_parent:
+            parent_path = self.path[:-1]
+            parent_value = dict_value_by_path(self.spec, parent_path)
+            return _VisitedItemRaw(parent_value, parent_path, self.acc)
+        return None
+
+
+class BaseRenderer(ABC, Generic[T]):
+    """
+    Base class for all renderers.
+    """
+
+    def __init__(self, spec: dict, df: DataFrame):
+        """
+        Creates a new renderer for the specified specification and data frame.
+
+        :param spec: dictionary-based specification
+        :param df: data frame to be rendered
+        """
+        self.spec = spec
+        self.df = df
+
+    def build(self) -> T:
+        """
+        Builds a concrete rendering product of type `T` from `self.spec` and `self.df`.
+        The rendering object's actual type depends on the concrete renderer.
+        :return: product of the rendering
+        """
+
+        def traverse(dct: dict, path: tuple[str | int, ...], acc: T):
+            """
+            Recursively visit a dictionary-based specification.
+
+            :param dct: dictionary-based specification
+            :param path: path to the current node
+            :param acc: accumulated rendering product
+            :return: the most recent rendering product
+            """
+            has_complex_children = any(
+                isinstance(v, dict) or isinstance(v, list) for v in dct.values()
+            )
+            if not has_complex_children:
+                return self._visitor(
+                    VisitedItem(
+                        item=_VisitedItemRaw(value=dct, path=path, acc=acc),
+                        spec=self.spec,
+                    )
+                )
+
+            for key, value in dct.items():
+                if isinstance(value, dict):
+                    acc = traverse(value, path + (key,), acc)
+                elif isinstance(value, list):
+                    for i, item in enumerate(value):
+                        acc = traverse(item, path + (key, i), acc)
+                else:
+                    acc = self._visitor(
+                        VisitedItem(
+                            item=_VisitedItemRaw(
+                                value=value, path=path + (key,), acc=acc
+                            ),
+                            spec=self.spec,
+                        )
+                    )
+            return acc
+
+        product = traverse(dct=self.spec, path=(), acc=self._initial)
+        post_processed = self.post_build_hook(product)
+        return post_processed
+
+    @property
+    @abstractmethod
+    def _initial(self) -> T:
+        """
+        :return: The initial rendering product to start with.
+        """
+        raise NotImplementedError
+
+    @abstractmethod
+    def _visitor(self, item: VisitedItem[T]) -> T:
+        """
+        The callback to be invoked for each visited item of the specification.
+        Should be implemented by concrete renderers to produce the rendering product
+        step-by-step based on the contents of the supplied `payload`.
+
+        :param item: the visited item
+        :return: the updated rendering product
+        """
+        raise NotImplementedError
+
+    def post_build_hook(self, product: T) -> T:
+        """
+        Called after the traversal of the specification is completed.
+        Acts as a hook for post-processing the rendering product.
+        :return: the updated rendering product
+        """
+        return product
diff --git a/draco/renderer/vega_lite.py b/draco/renderer/vega_lite.py
new file mode 100644
index 00000000..e69de29b
diff --git a/draco/renderer/vega_lite_renderer.py b/draco/renderer/vega_lite_renderer.py
new file mode 100644
index 00000000..b95873d0
--- /dev/null
+++ b/draco/renderer/vega_lite_renderer.py
@@ -0,0 +1,75 @@
+import json
+
+from pandas import DataFrame
+
+from .base_renderer import BaseRenderer, VisitedItem
+
+
+class VegaLiteRenderer(BaseRenderer[dict]):
+    def __init__(self, spec: dict, df: DataFrame):
+        super().__init__(spec, df)
+
+    @property
+    def _initial(self) -> dict:
+        return {
+            "$schema": "https://vega.github.io/schema/vega-lite/v5.2.0.json",
+        }
+
+    def _visitor(self, item: VisitedItem) -> dict:
+        match item.type:
+            case "mark":
+                pass
+            case "encoding":
+                pass
+            case "scale":
+                pass
+        return item.acc
+
+    def post_build_hook(self, product: dict) -> dict:
+        # add data to VL spec
+        data = self.df.to_dict(orient="records")
+        product["data"] = {"values": data}
+        return product
+
+    __DATA_TYPE_MAP__ = {
+        "number": "quantitative",
+        "string": "nominal",
+    }
+
+
+if __name__ == "__main__":
+    from pprint import pprint
+
+    from draco.fact_utils import answer_set_to_dict
+    from draco.run import run_clingo
+
+    def facts_to_dict(facts: list[str]):
+        result = run_clingo(facts)
+        return answer_set_to_dict(next(result).answer_set)
+
+    facts = [
+        "attribute(number_rows,root,100).",
+        "entity(field,root,temperature).",
+        "attribute((field,name),temperature,temperature).",
+        "attribute((field,type),temperature,number).",
+        "entity(view,root,0).",
+        "entity(mark,0,1).",
+        "attribute((mark,type),1,tick).",
+        "entity(encoding,1,2).",
+        "attribute((encoding,channel),2,x).",
+        "attribute((encoding,field),2,temperature).",
+        "entity(scale,0,3).",
+        "attribute((scale,channel),3,x).",
+        "attribute((scale,type),3,linear).",
+    ]
+    spec = facts_to_dict(facts)
+
+    pprint(spec)
+    print()
+
+    df = DataFrame.from_records(
+        data=[dict(a=i, b=25 * i, c=50 * i) for i in range(1, 11)]
+    )
+    vl = VegaLiteRenderer(dict(spec), df)
+    product = vl.build()
+    print(json.dumps(product, indent=2))

From 535dcb4683af0a861aa00331f6daedd9d341d79b Mon Sep 17 00:00:00 2001
From: Dominik Moritz <domoritz@gmail.com>
Date: Tue, 8 Nov 2022 08:03:55 -0800
Subject: [PATCH 04/45] ci: set up python before installing stuff

---
 .github/workflows/codeql.yml | 15 ++++++++++-----
 .github/workflows/test.yml   | 12 ++++++++----
 2 files changed, 18 insertions(+), 9 deletions(-)

diff --git a/.github/workflows/codeql.yml b/.github/workflows/codeql.yml
index f41e46e5..f98c686e 100644
--- a/.github/workflows/codeql.yml
+++ b/.github/workflows/codeql.yml
@@ -1,4 +1,4 @@
-name: "CodeQL"
+name: CodeQL
 
 on:
   push:
@@ -19,17 +19,21 @@ jobs:
 
     strategy:
       fail-fast: false
-      matrix:
-        language: [ python ]
 
     steps:
       - name: Checkout
         uses: actions/checkout@v3
 
+      - name: Set up Python
+        uses: actions/setup-python@v4
+        with:
+          python-version-file: ".python-version"
+          cache: "poetry"
+
       - name: Initialize CodeQL
         uses: github/codeql-action/init@v2
         with:
-          languages: ${{ matrix.language }}
+          languages: python
           queries: +security-and-quality
 
       - name: Autobuild
@@ -38,4 +42,5 @@ jobs:
       - name: Perform CodeQL Analysis
         uses: github/codeql-action/analyze@v2
         with:
-          category: "/language:${{ matrix.language }}"
+          setup-python-dependencies: false
+          category: "/language:python"
diff --git a/.github/workflows/test.yml b/.github/workflows/test.yml
index f7a45fca..7570b192 100644
--- a/.github/workflows/test.yml
+++ b/.github/workflows/test.yml
@@ -14,11 +14,13 @@ jobs:
       - uses: actions/checkout@v3
       - name: Install poetry
         run: pipx install poetry
-      - uses: actions/setup-python@v4
+      - name: Set up Python
+        uses: actions/setup-python@v4
         with:
           python-version-file: ".python-version"
           cache: "poetry"
-      - run: poetry install
+      - name: Install dependencies
+        run: poetry install
 
       - name: Run tests
         run: poetry run pytest --cov=./ --cov-report=xml draco
@@ -39,7 +41,8 @@ jobs:
 
     steps:
       - uses: actions/checkout@v3
-      - uses: actions/setup-python@v4
+      - name: Set up Python
+        uses: actions/setup-python@v4
         with:
           python-version-file: ".python-version"
       - uses: psf/black@stable
@@ -58,7 +61,8 @@ jobs:
       contents: write
 
     steps:
-      - uses: fastify/github-action-merge-dependabot@v3.4.2
+      - name: Merge pull requests
+        uses: fastify/github-action-merge-dependabot@v3.4.2
         with:
           github-token: ${{ secrets.GITHUB_TOKEN }}
           target: minor

From 6f3306309e19089495db42f5da15becc6fcd28a7 Mon Sep 17 00:00:00 2001
From: Dominik Moritz <domoritz@gmail.com>
Date: Tue, 8 Nov 2022 08:09:31 -0800
Subject: [PATCH 05/45] rm poetry

---
 .github/workflows/codeql.yml | 1 -
 1 file changed, 1 deletion(-)

diff --git a/.github/workflows/codeql.yml b/.github/workflows/codeql.yml
index f98c686e..716fed52 100644
--- a/.github/workflows/codeql.yml
+++ b/.github/workflows/codeql.yml
@@ -28,7 +28,6 @@ jobs:
         uses: actions/setup-python@v4
         with:
           python-version-file: ".python-version"
-          cache: "poetry"
 
       - name: Initialize CodeQL
         uses: github/codeql-action/init@v2

From 01e2eba284e5b7d3a827bc0c293bd42c4bb562c5 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?P=C3=A9ter=20Ferenc=20Gyarmati?= <dev.petergy@gmail.com>
Date: Thu, 10 Nov 2022 12:53:12 +0100
Subject: [PATCH 06/45] feat: `AltairRenderer` stable impl

Renders all the example charts
---
 docs/facts/examples-vl.ipynb         | 3039 --------------------------
 draco/renderer/altair_renderer.py    |  173 ++
 draco/renderer/base_renderer.py      |  142 +-
 draco/renderer/vega_lite.py          |    0
 draco/renderer/vega_lite_renderer.py |   75 -
 draco/types.py                       |  229 +-
 6 files changed, 408 insertions(+), 3250 deletions(-)
 delete mode 100644 docs/facts/examples-vl.ipynb
 create mode 100644 draco/renderer/altair_renderer.py
 delete mode 100644 draco/renderer/vega_lite.py
 delete mode 100644 draco/renderer/vega_lite_renderer.py

diff --git a/docs/facts/examples-vl.ipynb b/docs/facts/examples-vl.ipynb
deleted file mode 100644
index 81532108..00000000
--- a/docs/facts/examples-vl.ipynb
+++ /dev/null
@@ -1,3039 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Example Charts\n",
-    "\n",
-    "This notebook recreates the examples from [https://dig.cmu.edu/draco2/facts/examples.html#](https://dig.cmu.edu/draco2/facts/examples.html#)."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "from pprint import pprint\n",
-    "from draco.fact_utils import answer_set_to_dict\n",
-    "from draco.run import run_clingo\n",
-    "import altair as alt\n",
-    "from altair import datum"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "def facts_to_dict(facts: list[str]):\n",
-    "    result = run_clingo(facts)\n",
-    "    return answer_set_to_dict(next(result).answer_set)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 3,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "from IPython.display import display\n",
-    "import json\n",
-    "\n",
-    "\n",
-    "def display_chart(chart: alt.Chart):\n",
-    "    dct = json.loads(chart.to_json())\n",
-    "    dct.pop(\"data\")\n",
-    "    dct.pop(\"datasets\")\n",
-    "    pprint(dct)\n",
-    "    display(chart)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 4,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "import pandas as pd\n",
-    "import random\n",
-    "\n",
-    "# Generate a random dataframe with the following columns:\n",
-    "# - temperature: a random float between -10 and 44\n",
-    "# - wind: a random float between 0 and 100\n",
-    "# - precipitation: a random float between 0 and 100\n",
-    "# - condition: a random string from the list [\"drizzle\", \"fog\", \"rain\", \"sun\", \"snow\"]\n",
-    "NUM_ROWS = 100\n",
-    "df = pd.DataFrame(\n",
-    "    {\n",
-    "        \"temperature\": [random.uniform(-10, 44) for _ in range(NUM_ROWS)],\n",
-    "        \"wind\": [random.uniform(0, 100) for _ in range(NUM_ROWS)],\n",
-    "        \"precipitation\": [random.uniform(0, 100) for _ in range(NUM_ROWS)],\n",
-    "        \"condition\": [\n",
-    "            random.choice([\"drizzle\", \"fog\", \"rain\", \"sun\", \"snow\"])\n",
-    "            for _ in range(NUM_ROWS)\n",
-    "        ],\n",
-    "    }\n",
-    ")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 5,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>temperature</th>\n",
-       "      <th>wind</th>\n",
-       "      <th>precipitation</th>\n",
-       "      <th>condition</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>17.893653</td>\n",
-       "      <td>78.756856</td>\n",
-       "      <td>41.611246</td>\n",
-       "      <td>rain</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>5.622818</td>\n",
-       "      <td>25.421999</td>\n",
-       "      <td>74.905551</td>\n",
-       "      <td>rain</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>23.390209</td>\n",
-       "      <td>9.846103</td>\n",
-       "      <td>81.335364</td>\n",
-       "      <td>rain</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>20.889554</td>\n",
-       "      <td>27.535213</td>\n",
-       "      <td>27.654932</td>\n",
-       "      <td>drizzle</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>33.910262</td>\n",
-       "      <td>97.910328</td>\n",
-       "      <td>36.534943</td>\n",
-       "      <td>snow</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "   temperature       wind  precipitation condition\n",
-       "0    17.893653  78.756856      41.611246      rain\n",
-       "1     5.622818  25.421999      74.905551      rain\n",
-       "2    23.390209   9.846103      81.335364      rain\n",
-       "3    20.889554  27.535213      27.654932   drizzle\n",
-       "4    33.910262  97.910328      36.534943      snow"
-      ]
-     },
-     "execution_count": 5,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "df.head()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Single View, Single Mark Charts"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### Tick Plot"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 6,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "{'field': [{'name': 'temperature', 'type': 'number'}],\n",
-      " 'number_rows': 100,\n",
-      " 'view': [{'mark': [{'encoding': [{'channel': 'x', 'field': 'temperature'}],\n",
-      "                     'type': 'tick'}],\n",
-      "           'scale': [{'channel': 'x', 'type': 'linear'}]}]}\n"
-     ]
-    }
-   ],
-   "source": [
-    "facts = [\n",
-    "    \"attribute(number_rows,root,100).\",\n",
-    "    \"entity(field,root,temperature).\",\n",
-    "    \"attribute((field,name),temperature,temperature).\",\n",
-    "    \"attribute((field,type),temperature,number).\",\n",
-    "    \"entity(view,root,0).\",\n",
-    "    \"entity(mark,0,1).\",\n",
-    "    \"attribute((mark,type),1,tick).\",\n",
-    "    \"entity(encoding,1,2).\",\n",
-    "    \"attribute((encoding,channel),2,x).\",\n",
-    "    \"attribute((encoding,field),2,temperature).\",\n",
-    "    \"entity(scale,0,3).\",\n",
-    "    \"attribute((scale,channel),3,x).\",\n",
-    "    \"attribute((scale,type),3,linear).\",\n",
-    "]\n",
-    "spec = facts_to_dict(facts)\n",
-    "pprint(spec)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 7,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "{'$schema': 'https://vega.github.io/schema/vega-lite/v4.17.0.json',\n",
-      " 'config': {'view': {'continuousHeight': 300, 'continuousWidth': 400}},\n",
-      " 'encoding': {'x': {'field': 'temperature',\n",
-      "                    'scale': {'type': 'linear'},\n",
-      "                    'type': 'quantitative'}},\n",
-      " 'mark': 'tick'}\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/Users/petergy/Library/Caches/pypoetry/virtualenvs/draco-q9RTEhXP-py3.10/lib/python3.10/site-packages/altair/utils/core.py:317: FutureWarning: iteritems is deprecated and will be removed in a future version. Use .items instead.\n",
-      "  for col_name, dtype in df.dtypes.iteritems():\n"
-     ]
-    },
-    {
-     "data": {
-      "text/html": [
-       "\n",
-       "<div id=\"altair-viz-f6c5563422c540eaae9ec3011032853a\"></div>\n",
-       "<script type=\"text/javascript\">\n",
-       "  var VEGA_DEBUG = (typeof VEGA_DEBUG == \"undefined\") ? {} : VEGA_DEBUG;\n",
-       "  (function(spec, embedOpt){\n",
-       "    let outputDiv = document.currentScript.previousElementSibling;\n",
-       "    if (outputDiv.id !== \"altair-viz-f6c5563422c540eaae9ec3011032853a\") {\n",
-       "      outputDiv = document.getElementById(\"altair-viz-f6c5563422c540eaae9ec3011032853a\");\n",
-       "    }\n",
-       "    const paths = {\n",
-       "      \"vega\": \"https://cdn.jsdelivr.net/npm//vega@5?noext\",\n",
-       "      \"vega-lib\": \"https://cdn.jsdelivr.net/npm//vega-lib?noext\",\n",
-       "      \"vega-lite\": \"https://cdn.jsdelivr.net/npm//vega-lite@4.17.0?noext\",\n",
-       "      \"vega-embed\": \"https://cdn.jsdelivr.net/npm//vega-embed@6?noext\",\n",
-       "    };\n",
-       "\n",
-       "    function maybeLoadScript(lib, version) {\n",
-       "      var key = `${lib.replace(\"-\", \"\")}_version`;\n",
-       "      return (VEGA_DEBUG[key] == version) ?\n",
-       "        Promise.resolve(paths[lib]) :\n",
-       "        new Promise(function(resolve, reject) {\n",
-       "          var s = document.createElement('script');\n",
-       "          document.getElementsByTagName(\"head\")[0].appendChild(s);\n",
-       "          s.async = true;\n",
-       "          s.onload = () => {\n",
-       "            VEGA_DEBUG[key] = version;\n",
-       "            return resolve(paths[lib]);\n",
-       "          };\n",
-       "          s.onerror = () => reject(`Error loading script: ${paths[lib]}`);\n",
-       "          s.src = paths[lib];\n",
-       "        });\n",
-       "    }\n",
-       "\n",
-       "    function showError(err) {\n",
-       "      outputDiv.innerHTML = `<div class=\"error\" style=\"color:red;\">${err}</div>`;\n",
-       "      throw err;\n",
-       "    }\n",
-       "\n",
-       "    function displayChart(vegaEmbed) {\n",
-       "      vegaEmbed(outputDiv, spec, embedOpt)\n",
-       "        .catch(err => showError(`Javascript Error: ${err.message}<br>This usually means there's a typo in your chart specification. See the javascript console for the full traceback.`));\n",
-       "    }\n",
-       "\n",
-       "    if(typeof define === \"function\" && define.amd) {\n",
-       "      requirejs.config({paths});\n",
-       "      require([\"vega-embed\"], displayChart, err => showError(`Error loading script: ${err.message}`));\n",
-       "    } else {\n",
-       "      maybeLoadScript(\"vega\", \"5\")\n",
-       "        .then(() => maybeLoadScript(\"vega-lite\", \"4.17.0\"))\n",
-       "        .then(() => maybeLoadScript(\"vega-embed\", \"6\"))\n",
-       "        .catch(showError)\n",
-       "        .then(() => displayChart(vegaEmbed));\n",
-       "    }\n",
-       "  })({\"config\": {\"view\": {\"continuousWidth\": 400, \"continuousHeight\": 300}}, \"data\": {\"name\": \"data-124c435c1b687eb7890344117a1c86b4\"}, \"mark\": \"tick\", \"encoding\": {\"x\": {\"field\": \"temperature\", \"scale\": {\"type\": \"linear\"}, \"type\": \"quantitative\"}}, \"$schema\": \"https://vega.github.io/schema/vega-lite/v4.17.0.json\", \"datasets\": {\"data-124c435c1b687eb7890344117a1c86b4\": [{\"temperature\": 17.89365303788651, \"wind\": 78.75685633883592, \"precipitation\": 41.61124606702779, \"condition\": \"rain\"}, {\"temperature\": 5.622818441769336, \"wind\": 25.421998841055917, \"precipitation\": 74.90555083684964, \"condition\": \"rain\"}, {\"temperature\": 23.3902094090436, \"wind\": 9.846103163487696, \"precipitation\": 81.33536438710783, \"condition\": \"rain\"}, {\"temperature\": 20.889554427248395, \"wind\": 27.53521295661492, \"precipitation\": 27.6549324712597, \"condition\": \"drizzle\"}, {\"temperature\": 33.91026207788065, \"wind\": 97.91032820138525, \"precipitation\": 36.53494267552425, \"condition\": \"snow\"}, {\"temperature\": 39.65611406756084, \"wind\": 24.27383951799732, \"precipitation\": 33.38647147375286, \"condition\": \"rain\"}, {\"temperature\": 5.670659801967243, \"wind\": 98.20197823012846, \"precipitation\": 93.72832557739356, \"condition\": \"snow\"}, {\"temperature\": -2.2776070811204505, \"wind\": 77.90443786588797, \"precipitation\": 50.102310147035375, \"condition\": \"drizzle\"}, {\"temperature\": 43.104548648992775, \"wind\": 74.77698982401796, \"precipitation\": 89.95647852559429, \"condition\": \"sun\"}, {\"temperature\": 1.8049661385207525, \"wind\": 91.29152261118769, \"precipitation\": 29.77145087552332, \"condition\": \"fog\"}, {\"temperature\": 14.327115187571408, \"wind\": 45.054261048821296, \"precipitation\": 17.654846400296798, \"condition\": \"drizzle\"}, {\"temperature\": 25.44797791508993, \"wind\": 22.265267642454656, \"precipitation\": 60.37929677885421, \"condition\": \"drizzle\"}, {\"temperature\": 11.19016835531465, \"wind\": 77.30294308487814, \"precipitation\": 71.65443847888368, \"condition\": \"snow\"}, {\"temperature\": 22.948827407585433, \"wind\": 27.03785915458824, \"precipitation\": 92.68901140573688, \"condition\": \"snow\"}, {\"temperature\": 33.16555388154543, \"wind\": 92.1292103045794, \"precipitation\": 39.10838647644195, \"condition\": \"snow\"}, {\"temperature\": 9.981393546660723, \"wind\": 66.73004528306666, \"precipitation\": 19.36957583451713, \"condition\": \"drizzle\"}, {\"temperature\": 2.837559858993796, \"wind\": 18.62443662393004, \"precipitation\": 57.42273968155751, \"condition\": \"sun\"}, {\"temperature\": 39.14290590745285, \"wind\": 32.52859013259527, \"precipitation\": 88.21897530715309, \"condition\": \"rain\"}, {\"temperature\": 39.2325438266719, \"wind\": 2.511353474345024, \"precipitation\": 78.95158173752907, \"condition\": \"fog\"}, {\"temperature\": 2.949456835649645, \"wind\": 1.9370157264502197, \"precipitation\": 3.5337114891518584, \"condition\": \"fog\"}, {\"temperature\": 28.422917308067277, \"wind\": 6.822434636914776, \"precipitation\": 84.5655158038795, \"condition\": \"fog\"}, {\"temperature\": 28.406344711783838, \"wind\": 95.25216996998444, \"precipitation\": 2.312429289727791, \"condition\": \"fog\"}, {\"temperature\": 23.929825809705775, \"wind\": 28.441727967722407, \"precipitation\": 94.94371547195382, \"condition\": \"drizzle\"}, {\"temperature\": 25.144603850494207, \"wind\": 5.7248518372133965, \"precipitation\": 72.55961327284773, \"condition\": \"drizzle\"}, {\"temperature\": -3.1069016270510676, \"wind\": 90.56068308052812, \"precipitation\": 8.208347981870512, \"condition\": \"rain\"}, {\"temperature\": 43.07443333444708, \"wind\": 63.33777651825151, \"precipitation\": 35.343598004733714, \"condition\": \"sun\"}, {\"temperature\": -8.715631484900875, \"wind\": 78.50049089036061, \"precipitation\": 16.726772866900042, \"condition\": \"fog\"}, {\"temperature\": 10.058625587365142, \"wind\": 82.55410159133031, \"precipitation\": 49.82193593499935, \"condition\": \"fog\"}, {\"temperature\": 27.912341883718938, \"wind\": 45.94389098129158, \"precipitation\": 87.71806691348185, \"condition\": \"sun\"}, {\"temperature\": 28.827008981675903, \"wind\": 14.352645600160752, \"precipitation\": 95.30777240838884, \"condition\": \"sun\"}, {\"temperature\": -5.245472855196331, \"wind\": 24.463633090927274, \"precipitation\": 63.1630488725617, \"condition\": \"fog\"}, {\"temperature\": -4.738627417736829, \"wind\": 87.61779675788263, \"precipitation\": 67.17488470646667, \"condition\": \"fog\"}, {\"temperature\": -1.6463371096382655, \"wind\": 34.15953757649686, \"precipitation\": 83.20021064524306, \"condition\": \"rain\"}, {\"temperature\": -8.671469939339552, \"wind\": 28.02148157701091, \"precipitation\": 8.858286414027772, \"condition\": \"snow\"}, {\"temperature\": 23.586980668182306, \"wind\": 32.61177727202879, \"precipitation\": 90.55384722692395, \"condition\": \"snow\"}, {\"temperature\": 42.93552301196303, \"wind\": 17.459007963452034, \"precipitation\": 76.26693620563219, \"condition\": \"sun\"}, {\"temperature\": 14.04271616398174, \"wind\": 31.44611970670743, \"precipitation\": 27.736449442339893, \"condition\": \"rain\"}, {\"temperature\": 33.93136729382773, \"wind\": 85.0980112392488, \"precipitation\": 48.72266227519502, \"condition\": \"fog\"}, {\"temperature\": 29.10713627050935, \"wind\": 25.401508775422734, \"precipitation\": 83.25120184383715, \"condition\": \"fog\"}, {\"temperature\": 23.33130010979005, \"wind\": 38.960479467358745, \"precipitation\": 84.8094568801428, \"condition\": \"rain\"}, {\"temperature\": 27.820447049966695, \"wind\": 97.47611794506456, \"precipitation\": 59.404606053602336, \"condition\": \"fog\"}, {\"temperature\": 24.704809156505995, \"wind\": 56.929461372432655, \"precipitation\": 16.583726619344496, \"condition\": \"drizzle\"}, {\"temperature\": 42.73839675123029, \"wind\": 19.024929246369528, \"precipitation\": 37.515692671204135, \"condition\": \"sun\"}, {\"temperature\": 39.73480992464111, \"wind\": 63.10268501376382, \"precipitation\": 15.20512544845365, \"condition\": \"fog\"}, {\"temperature\": 34.928857478491054, \"wind\": 44.34437827092474, \"precipitation\": 2.9919970218495684, \"condition\": \"sun\"}, {\"temperature\": 12.475457440238529, \"wind\": 45.63508245761745, \"precipitation\": 1.5684442569828705, \"condition\": \"fog\"}, {\"temperature\": 11.485742656702111, \"wind\": 35.43011450755876, \"precipitation\": 46.843314320146966, \"condition\": \"fog\"}, {\"temperature\": 16.58332024159822, \"wind\": 85.9387003246595, \"precipitation\": 67.67417859666371, \"condition\": \"sun\"}, {\"temperature\": 42.96961504747511, \"wind\": 61.02100908610409, \"precipitation\": 40.19537213295094, \"condition\": \"snow\"}, {\"temperature\": 43.01306682260888, \"wind\": 91.58796490357004, \"precipitation\": 10.242970289225461, \"condition\": \"sun\"}, {\"temperature\": 17.888206090116245, \"wind\": 29.82373325722851, \"precipitation\": 44.29455934969246, \"condition\": \"sun\"}, {\"temperature\": 13.700882757230424, \"wind\": 46.93705512034313, \"precipitation\": 76.07676796446637, \"condition\": \"rain\"}, {\"temperature\": 4.986331720563626, \"wind\": 81.90760931416689, \"precipitation\": 34.892239668746406, \"condition\": \"drizzle\"}, {\"temperature\": -1.4778346288931683, \"wind\": 3.9791854357363987, \"precipitation\": 7.535152538482148, \"condition\": \"drizzle\"}, {\"temperature\": 16.892161248783623, \"wind\": 31.993361074291926, \"precipitation\": 60.46401934620111, \"condition\": \"drizzle\"}, {\"temperature\": -7.17506030059671, \"wind\": 5.042336185555952, \"precipitation\": 88.35922403405787, \"condition\": \"drizzle\"}, {\"temperature\": 9.85908134441586, \"wind\": 48.491362316119236, \"precipitation\": 23.80248472573617, \"condition\": \"snow\"}, {\"temperature\": 28.54368725395195, \"wind\": 5.72748587709313, \"precipitation\": 25.974359374267742, \"condition\": \"drizzle\"}, {\"temperature\": 41.85044222939622, \"wind\": 3.311333417116047, \"precipitation\": 1.7918023488591839, \"condition\": \"snow\"}, {\"temperature\": 39.51847585775124, \"wind\": 89.64939452111453, \"precipitation\": 48.53950512768904, \"condition\": \"fog\"}, {\"temperature\": 4.1511791382858725, \"wind\": 58.14172937556887, \"precipitation\": 79.66452798481971, \"condition\": \"drizzle\"}, {\"temperature\": 7.316849144326355, \"wind\": 6.796864846855866, \"precipitation\": 33.619090549629306, \"condition\": \"snow\"}, {\"temperature\": -6.040726652488083, \"wind\": 24.37214720554359, \"precipitation\": 71.46568853073089, \"condition\": \"rain\"}, {\"temperature\": 28.05026452008928, \"wind\": 19.39989397387041, \"precipitation\": 71.68725771245654, \"condition\": \"drizzle\"}, {\"temperature\": 35.30623993317926, \"wind\": 66.54091843981752, \"precipitation\": 22.884049790672588, \"condition\": \"rain\"}, {\"temperature\": -9.078168118751755, \"wind\": 54.53321547753263, \"precipitation\": 66.43449936744369, \"condition\": \"sun\"}, {\"temperature\": 34.31111609068961, \"wind\": 92.79899053872957, \"precipitation\": 61.9431928594434, \"condition\": \"sun\"}, {\"temperature\": -0.5340863902706268, \"wind\": 89.18484464889846, \"precipitation\": 88.49655552922172, \"condition\": \"rain\"}, {\"temperature\": -7.331283732097262, \"wind\": 16.43300088620039, \"precipitation\": 92.15523633598885, \"condition\": \"drizzle\"}, {\"temperature\": 34.4512940591614, \"wind\": 16.982566694713043, \"precipitation\": 66.50391898652623, \"condition\": \"fog\"}, {\"temperature\": 2.292195972387347, \"wind\": 78.07758659490037, \"precipitation\": 85.08941323813521, \"condition\": \"snow\"}, {\"temperature\": 10.280188069701488, \"wind\": 64.37598506985243, \"precipitation\": 46.13428294966927, \"condition\": \"sun\"}, {\"temperature\": 14.385637791164196, \"wind\": 27.710246014732775, \"precipitation\": 82.18132103083111, \"condition\": \"rain\"}, {\"temperature\": 15.068929930658907, \"wind\": 90.37313777532859, \"precipitation\": 95.42688091272505, \"condition\": \"rain\"}, {\"temperature\": -5.931704200276687, \"wind\": 76.30697305192514, \"precipitation\": 48.17926018036856, \"condition\": \"drizzle\"}, {\"temperature\": -1.2238906425326128, \"wind\": 77.25655113115953, \"precipitation\": 12.189057445370022, \"condition\": \"sun\"}, {\"temperature\": 17.981273164150583, \"wind\": 99.8855194023956, \"precipitation\": 5.951490853046981, \"condition\": \"drizzle\"}, {\"temperature\": 8.333054222089164, \"wind\": 22.351144710727677, \"precipitation\": 1.9907985646430038, \"condition\": \"rain\"}, {\"temperature\": 40.99117292213711, \"wind\": 12.537186007473021, \"precipitation\": 3.0957134444521195, \"condition\": \"drizzle\"}, {\"temperature\": 36.29560583814439, \"wind\": 47.282861379528676, \"precipitation\": 50.72175472263106, \"condition\": \"fog\"}, {\"temperature\": 8.011942225789358, \"wind\": 80.64679426688298, \"precipitation\": 84.74031260132877, \"condition\": \"sun\"}, {\"temperature\": 32.64189921238727, \"wind\": 78.38867921926278, \"precipitation\": 94.27015659699374, \"condition\": \"fog\"}, {\"temperature\": -4.159829210634211, \"wind\": 53.39060475873939, \"precipitation\": 50.60795287404672, \"condition\": \"fog\"}, {\"temperature\": -6.602296737522483, \"wind\": 86.55899134629715, \"precipitation\": 62.64697378600636, \"condition\": \"fog\"}, {\"temperature\": 40.135239145180655, \"wind\": 16.633704419495032, \"precipitation\": 41.391087682479736, \"condition\": \"drizzle\"}, {\"temperature\": 26.95881305440288, \"wind\": 85.8809786017975, \"precipitation\": 71.9617762842435, \"condition\": \"drizzle\"}, {\"temperature\": 11.92991543604046, \"wind\": 76.39140196294017, \"precipitation\": 60.40612399492309, \"condition\": \"drizzle\"}, {\"temperature\": 19.566301202766702, \"wind\": 72.97802286558691, \"precipitation\": 29.681848692175006, \"condition\": \"drizzle\"}, {\"temperature\": 10.481864045771506, \"wind\": 10.269367839292642, \"precipitation\": 85.87287289024248, \"condition\": \"rain\"}, {\"temperature\": -9.620152753805623, \"wind\": 64.57630699894213, \"precipitation\": 29.06583641537993, \"condition\": \"drizzle\"}, {\"temperature\": 24.85823346816882, \"wind\": 64.44200648973889, \"precipitation\": 32.79358601401415, \"condition\": \"sun\"}, {\"temperature\": -9.71401231081625, \"wind\": 46.94482107365025, \"precipitation\": 71.95828763550503, \"condition\": \"rain\"}, {\"temperature\": 15.802582568794556, \"wind\": 5.568264782160037, \"precipitation\": 16.50277435360922, \"condition\": \"sun\"}, {\"temperature\": 29.44740698845427, \"wind\": 66.4224540835048, \"precipitation\": 96.91347272575433, \"condition\": \"snow\"}, {\"temperature\": 0.1789559651072139, \"wind\": 37.144396583281235, \"precipitation\": 7.3927878065009445, \"condition\": \"snow\"}, {\"temperature\": 37.90262114384076, \"wind\": 23.744567572534315, \"precipitation\": 85.44013318397162, \"condition\": \"fog\"}, {\"temperature\": 40.40503203411964, \"wind\": 71.68155336881077, \"precipitation\": 91.260802513042, \"condition\": \"snow\"}, {\"temperature\": 2.723433474361908, \"wind\": 5.85694236985378, \"precipitation\": 54.0295184169758, \"condition\": \"drizzle\"}, {\"temperature\": 9.452609321039336, \"wind\": 52.7843932253772, \"precipitation\": 90.04450333194686, \"condition\": \"fog\"}, {\"temperature\": 18.909153974667404, \"wind\": 13.725377509230263, \"precipitation\": 34.56974350594094, \"condition\": \"sun\"}]}}, {\"mode\": \"vega-lite\"});\n",
-       "</script>"
-      ],
-      "text/plain": [
-       "alt.Chart(...)"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "base = alt.Chart(df)\n",
-    "tick = base.mark_tick().encode(\n",
-    "    x=alt.X(field=\"temperature\", type=\"quantitative\", scale=alt.Scale(type=\"linear\"))\n",
-    ")\n",
-    "display_chart(tick)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### Tick Plot with a Log Scale"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 8,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "{'field': [{'name': 'temperature', 'type': 'number'}],\n",
-      " 'number_rows': 100,\n",
-      " 'view': [{'mark': [{'encoding': [{'channel': 'x', 'field': 'temperature'}],\n",
-      "                     'type': 'tick'}],\n",
-      "           'scale': [{'channel': 'x', 'type': 'log'}]}]}\n"
-     ]
-    }
-   ],
-   "source": [
-    "facts = [\n",
-    "    \"attribute(number_rows,root,100).\",\n",
-    "    \"entity(field,root,temperature).\",\n",
-    "    \"attribute((field,name),temperature,temperature).\",\n",
-    "    \"attribute((field,type),temperature,number).\",\n",
-    "    \"entity(view,root,0).\",\n",
-    "    \"entity(mark,0,1).\",\n",
-    "    \"attribute((mark,type),1,tick).\",\n",
-    "    \"entity(encoding,1,2).\",\n",
-    "    \"attribute((encoding,channel),2,x).\",\n",
-    "    \"attribute((encoding,field),2,temperature).\",\n",
-    "    \"entity(scale,0,3).\",\n",
-    "    \"attribute((scale,channel),3,x).\",\n",
-    "    \"attribute((scale,type),3,log).\",\n",
-    "]\n",
-    "spec = facts_to_dict(facts)\n",
-    "pprint(spec)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 9,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "{'$schema': 'https://vega.github.io/schema/vega-lite/v4.17.0.json',\n",
-      " 'config': {'view': {'continuousHeight': 300, 'continuousWidth': 400}},\n",
-      " 'encoding': {'x': {'field': 'temperature',\n",
-      "                    'scale': {'type': 'log'},\n",
-      "                    'type': 'quantitative'}},\n",
-      " 'mark': 'tick',\n",
-      " 'transform': [{'filter': '(datum.temperature > 0)'}]}\n"
-     ]
-    },
-    {
-     "data": {
-      "text/html": [
-       "\n",
-       "<div id=\"altair-viz-10c87efffabd4a5fbf200fde56afa627\"></div>\n",
-       "<script type=\"text/javascript\">\n",
-       "  var VEGA_DEBUG = (typeof VEGA_DEBUG == \"undefined\") ? {} : VEGA_DEBUG;\n",
-       "  (function(spec, embedOpt){\n",
-       "    let outputDiv = document.currentScript.previousElementSibling;\n",
-       "    if (outputDiv.id !== \"altair-viz-10c87efffabd4a5fbf200fde56afa627\") {\n",
-       "      outputDiv = document.getElementById(\"altair-viz-10c87efffabd4a5fbf200fde56afa627\");\n",
-       "    }\n",
-       "    const paths = {\n",
-       "      \"vega\": \"https://cdn.jsdelivr.net/npm//vega@5?noext\",\n",
-       "      \"vega-lib\": \"https://cdn.jsdelivr.net/npm//vega-lib?noext\",\n",
-       "      \"vega-lite\": \"https://cdn.jsdelivr.net/npm//vega-lite@4.17.0?noext\",\n",
-       "      \"vega-embed\": \"https://cdn.jsdelivr.net/npm//vega-embed@6?noext\",\n",
-       "    };\n",
-       "\n",
-       "    function maybeLoadScript(lib, version) {\n",
-       "      var key = `${lib.replace(\"-\", \"\")}_version`;\n",
-       "      return (VEGA_DEBUG[key] == version) ?\n",
-       "        Promise.resolve(paths[lib]) :\n",
-       "        new Promise(function(resolve, reject) {\n",
-       "          var s = document.createElement('script');\n",
-       "          document.getElementsByTagName(\"head\")[0].appendChild(s);\n",
-       "          s.async = true;\n",
-       "          s.onload = () => {\n",
-       "            VEGA_DEBUG[key] = version;\n",
-       "            return resolve(paths[lib]);\n",
-       "          };\n",
-       "          s.onerror = () => reject(`Error loading script: ${paths[lib]}`);\n",
-       "          s.src = paths[lib];\n",
-       "        });\n",
-       "    }\n",
-       "\n",
-       "    function showError(err) {\n",
-       "      outputDiv.innerHTML = `<div class=\"error\" style=\"color:red;\">${err}</div>`;\n",
-       "      throw err;\n",
-       "    }\n",
-       "\n",
-       "    function displayChart(vegaEmbed) {\n",
-       "      vegaEmbed(outputDiv, spec, embedOpt)\n",
-       "        .catch(err => showError(`Javascript Error: ${err.message}<br>This usually means there's a typo in your chart specification. See the javascript console for the full traceback.`));\n",
-       "    }\n",
-       "\n",
-       "    if(typeof define === \"function\" && define.amd) {\n",
-       "      requirejs.config({paths});\n",
-       "      require([\"vega-embed\"], displayChart, err => showError(`Error loading script: ${err.message}`));\n",
-       "    } else {\n",
-       "      maybeLoadScript(\"vega\", \"5\")\n",
-       "        .then(() => maybeLoadScript(\"vega-lite\", \"4.17.0\"))\n",
-       "        .then(() => maybeLoadScript(\"vega-embed\", \"6\"))\n",
-       "        .catch(showError)\n",
-       "        .then(() => displayChart(vegaEmbed));\n",
-       "    }\n",
-       "  })({\"config\": {\"view\": {\"continuousWidth\": 400, \"continuousHeight\": 300}}, \"data\": {\"name\": \"data-124c435c1b687eb7890344117a1c86b4\"}, \"mark\": \"tick\", \"encoding\": {\"x\": {\"field\": \"temperature\", \"scale\": {\"type\": \"log\"}, \"type\": \"quantitative\"}}, \"transform\": [{\"filter\": \"(datum.temperature > 0)\"}], \"$schema\": \"https://vega.github.io/schema/vega-lite/v4.17.0.json\", \"datasets\": {\"data-124c435c1b687eb7890344117a1c86b4\": [{\"temperature\": 17.89365303788651, \"wind\": 78.75685633883592, \"precipitation\": 41.61124606702779, \"condition\": \"rain\"}, {\"temperature\": 5.622818441769336, \"wind\": 25.421998841055917, \"precipitation\": 74.90555083684964, \"condition\": \"rain\"}, {\"temperature\": 23.3902094090436, \"wind\": 9.846103163487696, \"precipitation\": 81.33536438710783, \"condition\": \"rain\"}, {\"temperature\": 20.889554427248395, \"wind\": 27.53521295661492, \"precipitation\": 27.6549324712597, \"condition\": \"drizzle\"}, {\"temperature\": 33.91026207788065, \"wind\": 97.91032820138525, \"precipitation\": 36.53494267552425, \"condition\": \"snow\"}, {\"temperature\": 39.65611406756084, \"wind\": 24.27383951799732, \"precipitation\": 33.38647147375286, \"condition\": \"rain\"}, {\"temperature\": 5.670659801967243, \"wind\": 98.20197823012846, \"precipitation\": 93.72832557739356, \"condition\": \"snow\"}, {\"temperature\": -2.2776070811204505, \"wind\": 77.90443786588797, \"precipitation\": 50.102310147035375, \"condition\": \"drizzle\"}, {\"temperature\": 43.104548648992775, \"wind\": 74.77698982401796, \"precipitation\": 89.95647852559429, \"condition\": \"sun\"}, {\"temperature\": 1.8049661385207525, \"wind\": 91.29152261118769, \"precipitation\": 29.77145087552332, \"condition\": \"fog\"}, {\"temperature\": 14.327115187571408, \"wind\": 45.054261048821296, \"precipitation\": 17.654846400296798, \"condition\": \"drizzle\"}, {\"temperature\": 25.44797791508993, \"wind\": 22.265267642454656, \"precipitation\": 60.37929677885421, \"condition\": \"drizzle\"}, {\"temperature\": 11.19016835531465, \"wind\": 77.30294308487814, \"precipitation\": 71.65443847888368, \"condition\": \"snow\"}, {\"temperature\": 22.948827407585433, \"wind\": 27.03785915458824, \"precipitation\": 92.68901140573688, \"condition\": \"snow\"}, {\"temperature\": 33.16555388154543, \"wind\": 92.1292103045794, \"precipitation\": 39.10838647644195, \"condition\": \"snow\"}, {\"temperature\": 9.981393546660723, \"wind\": 66.73004528306666, \"precipitation\": 19.36957583451713, \"condition\": \"drizzle\"}, {\"temperature\": 2.837559858993796, \"wind\": 18.62443662393004, \"precipitation\": 57.42273968155751, \"condition\": \"sun\"}, {\"temperature\": 39.14290590745285, \"wind\": 32.52859013259527, \"precipitation\": 88.21897530715309, \"condition\": \"rain\"}, {\"temperature\": 39.2325438266719, \"wind\": 2.511353474345024, \"precipitation\": 78.95158173752907, \"condition\": \"fog\"}, {\"temperature\": 2.949456835649645, \"wind\": 1.9370157264502197, \"precipitation\": 3.5337114891518584, \"condition\": \"fog\"}, {\"temperature\": 28.422917308067277, \"wind\": 6.822434636914776, \"precipitation\": 84.5655158038795, \"condition\": \"fog\"}, {\"temperature\": 28.406344711783838, \"wind\": 95.25216996998444, \"precipitation\": 2.312429289727791, \"condition\": \"fog\"}, {\"temperature\": 23.929825809705775, \"wind\": 28.441727967722407, \"precipitation\": 94.94371547195382, \"condition\": \"drizzle\"}, {\"temperature\": 25.144603850494207, \"wind\": 5.7248518372133965, \"precipitation\": 72.55961327284773, \"condition\": \"drizzle\"}, {\"temperature\": -3.1069016270510676, \"wind\": 90.56068308052812, \"precipitation\": 8.208347981870512, \"condition\": \"rain\"}, {\"temperature\": 43.07443333444708, \"wind\": 63.33777651825151, \"precipitation\": 35.343598004733714, \"condition\": \"sun\"}, {\"temperature\": -8.715631484900875, \"wind\": 78.50049089036061, \"precipitation\": 16.726772866900042, \"condition\": \"fog\"}, {\"temperature\": 10.058625587365142, \"wind\": 82.55410159133031, \"precipitation\": 49.82193593499935, \"condition\": \"fog\"}, {\"temperature\": 27.912341883718938, \"wind\": 45.94389098129158, \"precipitation\": 87.71806691348185, \"condition\": \"sun\"}, {\"temperature\": 28.827008981675903, \"wind\": 14.352645600160752, \"precipitation\": 95.30777240838884, \"condition\": \"sun\"}, {\"temperature\": -5.245472855196331, \"wind\": 24.463633090927274, \"precipitation\": 63.1630488725617, \"condition\": \"fog\"}, {\"temperature\": -4.738627417736829, \"wind\": 87.61779675788263, \"precipitation\": 67.17488470646667, \"condition\": \"fog\"}, {\"temperature\": -1.6463371096382655, \"wind\": 34.15953757649686, \"precipitation\": 83.20021064524306, \"condition\": \"rain\"}, {\"temperature\": -8.671469939339552, \"wind\": 28.02148157701091, \"precipitation\": 8.858286414027772, \"condition\": \"snow\"}, {\"temperature\": 23.586980668182306, \"wind\": 32.61177727202879, \"precipitation\": 90.55384722692395, \"condition\": \"snow\"}, {\"temperature\": 42.93552301196303, \"wind\": 17.459007963452034, \"precipitation\": 76.26693620563219, \"condition\": \"sun\"}, {\"temperature\": 14.04271616398174, \"wind\": 31.44611970670743, \"precipitation\": 27.736449442339893, \"condition\": \"rain\"}, {\"temperature\": 33.93136729382773, \"wind\": 85.0980112392488, \"precipitation\": 48.72266227519502, \"condition\": \"fog\"}, {\"temperature\": 29.10713627050935, \"wind\": 25.401508775422734, \"precipitation\": 83.25120184383715, \"condition\": \"fog\"}, {\"temperature\": 23.33130010979005, \"wind\": 38.960479467358745, \"precipitation\": 84.8094568801428, \"condition\": \"rain\"}, {\"temperature\": 27.820447049966695, \"wind\": 97.47611794506456, \"precipitation\": 59.404606053602336, \"condition\": \"fog\"}, {\"temperature\": 24.704809156505995, \"wind\": 56.929461372432655, \"precipitation\": 16.583726619344496, \"condition\": \"drizzle\"}, {\"temperature\": 42.73839675123029, \"wind\": 19.024929246369528, \"precipitation\": 37.515692671204135, \"condition\": \"sun\"}, {\"temperature\": 39.73480992464111, \"wind\": 63.10268501376382, \"precipitation\": 15.20512544845365, \"condition\": \"fog\"}, {\"temperature\": 34.928857478491054, \"wind\": 44.34437827092474, \"precipitation\": 2.9919970218495684, \"condition\": \"sun\"}, {\"temperature\": 12.475457440238529, \"wind\": 45.63508245761745, \"precipitation\": 1.5684442569828705, \"condition\": \"fog\"}, {\"temperature\": 11.485742656702111, \"wind\": 35.43011450755876, \"precipitation\": 46.843314320146966, \"condition\": \"fog\"}, {\"temperature\": 16.58332024159822, \"wind\": 85.9387003246595, \"precipitation\": 67.67417859666371, \"condition\": \"sun\"}, {\"temperature\": 42.96961504747511, \"wind\": 61.02100908610409, \"precipitation\": 40.19537213295094, \"condition\": \"snow\"}, {\"temperature\": 43.01306682260888, \"wind\": 91.58796490357004, \"precipitation\": 10.242970289225461, \"condition\": \"sun\"}, {\"temperature\": 17.888206090116245, \"wind\": 29.82373325722851, \"precipitation\": 44.29455934969246, \"condition\": \"sun\"}, {\"temperature\": 13.700882757230424, \"wind\": 46.93705512034313, \"precipitation\": 76.07676796446637, \"condition\": \"rain\"}, {\"temperature\": 4.986331720563626, \"wind\": 81.90760931416689, \"precipitation\": 34.892239668746406, \"condition\": \"drizzle\"}, {\"temperature\": -1.4778346288931683, \"wind\": 3.9791854357363987, \"precipitation\": 7.535152538482148, \"condition\": \"drizzle\"}, {\"temperature\": 16.892161248783623, \"wind\": 31.993361074291926, \"precipitation\": 60.46401934620111, \"condition\": \"drizzle\"}, {\"temperature\": -7.17506030059671, \"wind\": 5.042336185555952, \"precipitation\": 88.35922403405787, \"condition\": \"drizzle\"}, {\"temperature\": 9.85908134441586, \"wind\": 48.491362316119236, \"precipitation\": 23.80248472573617, \"condition\": \"snow\"}, {\"temperature\": 28.54368725395195, \"wind\": 5.72748587709313, \"precipitation\": 25.974359374267742, \"condition\": \"drizzle\"}, {\"temperature\": 41.85044222939622, \"wind\": 3.311333417116047, \"precipitation\": 1.7918023488591839, \"condition\": \"snow\"}, {\"temperature\": 39.51847585775124, \"wind\": 89.64939452111453, \"precipitation\": 48.53950512768904, \"condition\": \"fog\"}, {\"temperature\": 4.1511791382858725, \"wind\": 58.14172937556887, \"precipitation\": 79.66452798481971, \"condition\": \"drizzle\"}, {\"temperature\": 7.316849144326355, \"wind\": 6.796864846855866, \"precipitation\": 33.619090549629306, \"condition\": \"snow\"}, {\"temperature\": -6.040726652488083, \"wind\": 24.37214720554359, \"precipitation\": 71.46568853073089, \"condition\": \"rain\"}, {\"temperature\": 28.05026452008928, \"wind\": 19.39989397387041, \"precipitation\": 71.68725771245654, \"condition\": \"drizzle\"}, {\"temperature\": 35.30623993317926, \"wind\": 66.54091843981752, \"precipitation\": 22.884049790672588, \"condition\": \"rain\"}, {\"temperature\": -9.078168118751755, \"wind\": 54.53321547753263, \"precipitation\": 66.43449936744369, \"condition\": \"sun\"}, {\"temperature\": 34.31111609068961, \"wind\": 92.79899053872957, \"precipitation\": 61.9431928594434, \"condition\": \"sun\"}, {\"temperature\": -0.5340863902706268, \"wind\": 89.18484464889846, \"precipitation\": 88.49655552922172, \"condition\": \"rain\"}, {\"temperature\": -7.331283732097262, \"wind\": 16.43300088620039, \"precipitation\": 92.15523633598885, \"condition\": \"drizzle\"}, {\"temperature\": 34.4512940591614, \"wind\": 16.982566694713043, \"precipitation\": 66.50391898652623, \"condition\": \"fog\"}, {\"temperature\": 2.292195972387347, \"wind\": 78.07758659490037, \"precipitation\": 85.08941323813521, \"condition\": \"snow\"}, {\"temperature\": 10.280188069701488, \"wind\": 64.37598506985243, \"precipitation\": 46.13428294966927, \"condition\": \"sun\"}, {\"temperature\": 14.385637791164196, \"wind\": 27.710246014732775, \"precipitation\": 82.18132103083111, \"condition\": \"rain\"}, {\"temperature\": 15.068929930658907, \"wind\": 90.37313777532859, \"precipitation\": 95.42688091272505, \"condition\": \"rain\"}, {\"temperature\": -5.931704200276687, \"wind\": 76.30697305192514, \"precipitation\": 48.17926018036856, \"condition\": \"drizzle\"}, {\"temperature\": -1.2238906425326128, \"wind\": 77.25655113115953, \"precipitation\": 12.189057445370022, \"condition\": \"sun\"}, {\"temperature\": 17.981273164150583, \"wind\": 99.8855194023956, \"precipitation\": 5.951490853046981, \"condition\": \"drizzle\"}, {\"temperature\": 8.333054222089164, \"wind\": 22.351144710727677, \"precipitation\": 1.9907985646430038, \"condition\": \"rain\"}, {\"temperature\": 40.99117292213711, \"wind\": 12.537186007473021, \"precipitation\": 3.0957134444521195, \"condition\": \"drizzle\"}, {\"temperature\": 36.29560583814439, \"wind\": 47.282861379528676, \"precipitation\": 50.72175472263106, \"condition\": \"fog\"}, {\"temperature\": 8.011942225789358, \"wind\": 80.64679426688298, \"precipitation\": 84.74031260132877, \"condition\": \"sun\"}, {\"temperature\": 32.64189921238727, \"wind\": 78.38867921926278, \"precipitation\": 94.27015659699374, \"condition\": \"fog\"}, {\"temperature\": -4.159829210634211, \"wind\": 53.39060475873939, \"precipitation\": 50.60795287404672, \"condition\": \"fog\"}, {\"temperature\": -6.602296737522483, \"wind\": 86.55899134629715, \"precipitation\": 62.64697378600636, \"condition\": \"fog\"}, {\"temperature\": 40.135239145180655, \"wind\": 16.633704419495032, \"precipitation\": 41.391087682479736, \"condition\": \"drizzle\"}, {\"temperature\": 26.95881305440288, \"wind\": 85.8809786017975, \"precipitation\": 71.9617762842435, \"condition\": \"drizzle\"}, {\"temperature\": 11.92991543604046, \"wind\": 76.39140196294017, \"precipitation\": 60.40612399492309, \"condition\": \"drizzle\"}, {\"temperature\": 19.566301202766702, \"wind\": 72.97802286558691, \"precipitation\": 29.681848692175006, \"condition\": \"drizzle\"}, {\"temperature\": 10.481864045771506, \"wind\": 10.269367839292642, \"precipitation\": 85.87287289024248, \"condition\": \"rain\"}, {\"temperature\": -9.620152753805623, \"wind\": 64.57630699894213, \"precipitation\": 29.06583641537993, \"condition\": \"drizzle\"}, {\"temperature\": 24.85823346816882, \"wind\": 64.44200648973889, \"precipitation\": 32.79358601401415, \"condition\": \"sun\"}, {\"temperature\": -9.71401231081625, \"wind\": 46.94482107365025, \"precipitation\": 71.95828763550503, \"condition\": \"rain\"}, {\"temperature\": 15.802582568794556, \"wind\": 5.568264782160037, \"precipitation\": 16.50277435360922, \"condition\": \"sun\"}, {\"temperature\": 29.44740698845427, \"wind\": 66.4224540835048, \"precipitation\": 96.91347272575433, \"condition\": \"snow\"}, {\"temperature\": 0.1789559651072139, \"wind\": 37.144396583281235, \"precipitation\": 7.3927878065009445, \"condition\": \"snow\"}, {\"temperature\": 37.90262114384076, \"wind\": 23.744567572534315, \"precipitation\": 85.44013318397162, \"condition\": \"fog\"}, {\"temperature\": 40.40503203411964, \"wind\": 71.68155336881077, \"precipitation\": 91.260802513042, \"condition\": \"snow\"}, {\"temperature\": 2.723433474361908, \"wind\": 5.85694236985378, \"precipitation\": 54.0295184169758, \"condition\": \"drizzle\"}, {\"temperature\": 9.452609321039336, \"wind\": 52.7843932253772, \"precipitation\": 90.04450333194686, \"condition\": \"fog\"}, {\"temperature\": 18.909153974667404, \"wind\": 13.725377509230263, \"precipitation\": 34.56974350594094, \"condition\": \"sun\"}]}}, {\"mode\": \"vega-lite\"});\n",
-       "</script>"
-      ],
-      "text/plain": [
-       "alt.Chart(...)"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "base = alt.Chart(df).transform_filter(datum.temperature > 0)\n",
-    "tick = base.mark_tick().encode(\n",
-    "    x=alt.X(field=\"temperature\", type=\"quantitative\", scale=alt.Scale(type=\"log\"))\n",
-    ")\n",
-    "display_chart(tick)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### Bar Chart"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 10,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "{'field': [{'name': 'temperature', 'type': 'number'},\n",
-      "           {'name': 'condition', 'type': 'string'}],\n",
-      " 'number_rows': 100,\n",
-      " 'view': [{'coordinates': 'cartesian',\n",
-      "           'mark': [{'encoding': [{'channel': 'x', 'field': 'condition'},\n",
-      "                                  {'aggregate': 'mean',\n",
-      "                                   'channel': 'y',\n",
-      "                                   'field': 'temperature'}],\n",
-      "                     'type': 'bar'}],\n",
-      "           'scale': [{'channel': 'x', 'type': 'ordinal'},\n",
-      "                     {'channel': 'y', 'type': 'linear', 'zero': 'true'}]}]}\n"
-     ]
-    }
-   ],
-   "source": [
-    "facts = [\n",
-    "    \"attribute(number_rows,root,100).\",\n",
-    "    \"entity(field,root,temperature).\",\n",
-    "    \"attribute((field,name),temperature,temperature).\",\n",
-    "    \"attribute((field,type),temperature,number).\",\n",
-    "    \"entity(field,root,condition).\",\n",
-    "    \"attribute((field,name),condition,condition).\",\n",
-    "    \"attribute((field,type),condition,string).\",\n",
-    "    \"entity(view,root,0).\",\n",
-    "    \"attribute((view,coordinates),0,cartesian).\",\n",
-    "    \"entity(mark,0,1).\",\n",
-    "    \"attribute((mark,type),1,bar).\",\n",
-    "    \"entity(encoding,1,2).\",\n",
-    "    \"attribute((encoding,channel),2,x).\",\n",
-    "    \"attribute((encoding,field),2,condition).\",\n",
-    "    \"entity(encoding,1,3).\",\n",
-    "    \"attribute((encoding,channel),3,y).\",\n",
-    "    \"attribute((encoding,field),3,temperature).\",\n",
-    "    \"attribute((encoding,aggregate),3,mean).\",\n",
-    "    \"entity(scale,0,4).\",\n",
-    "    \"attribute((scale,channel),4,x).\",\n",
-    "    \"attribute((scale,type),4,ordinal).\",\n",
-    "    \"entity(scale,0,5).\",\n",
-    "    \"attribute((scale,channel),5,y).\",\n",
-    "    \"attribute((scale,type),5,linear).\",\n",
-    "    \"attribute((scale,zero),5,true).\",\n",
-    "]\n",
-    "spec = facts_to_dict(facts)\n",
-    "pprint(spec)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 11,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "{'$schema': 'https://vega.github.io/schema/vega-lite/v4.17.0.json',\n",
-      " 'config': {'view': {'continuousHeight': 300, 'continuousWidth': 400}},\n",
-      " 'encoding': {'x': {'field': 'condition',\n",
-      "                    'scale': {'type': 'ordinal'},\n",
-      "                    'type': 'nominal'},\n",
-      "              'y': {'aggregate': 'mean',\n",
-      "                    'field': 'temperature',\n",
-      "                    'scale': {'type': 'linear', 'zero': True},\n",
-      "                    'type': 'quantitative'}},\n",
-      " 'mark': 'bar'}\n"
-     ]
-    },
-    {
-     "data": {
-      "text/html": [
-       "\n",
-       "<div id=\"altair-viz-b18a0dbc088a4de1a10024c672dd4a35\"></div>\n",
-       "<script type=\"text/javascript\">\n",
-       "  var VEGA_DEBUG = (typeof VEGA_DEBUG == \"undefined\") ? {} : VEGA_DEBUG;\n",
-       "  (function(spec, embedOpt){\n",
-       "    let outputDiv = document.currentScript.previousElementSibling;\n",
-       "    if (outputDiv.id !== \"altair-viz-b18a0dbc088a4de1a10024c672dd4a35\") {\n",
-       "      outputDiv = document.getElementById(\"altair-viz-b18a0dbc088a4de1a10024c672dd4a35\");\n",
-       "    }\n",
-       "    const paths = {\n",
-       "      \"vega\": \"https://cdn.jsdelivr.net/npm//vega@5?noext\",\n",
-       "      \"vega-lib\": \"https://cdn.jsdelivr.net/npm//vega-lib?noext\",\n",
-       "      \"vega-lite\": \"https://cdn.jsdelivr.net/npm//vega-lite@4.17.0?noext\",\n",
-       "      \"vega-embed\": \"https://cdn.jsdelivr.net/npm//vega-embed@6?noext\",\n",
-       "    };\n",
-       "\n",
-       "    function maybeLoadScript(lib, version) {\n",
-       "      var key = `${lib.replace(\"-\", \"\")}_version`;\n",
-       "      return (VEGA_DEBUG[key] == version) ?\n",
-       "        Promise.resolve(paths[lib]) :\n",
-       "        new Promise(function(resolve, reject) {\n",
-       "          var s = document.createElement('script');\n",
-       "          document.getElementsByTagName(\"head\")[0].appendChild(s);\n",
-       "          s.async = true;\n",
-       "          s.onload = () => {\n",
-       "            VEGA_DEBUG[key] = version;\n",
-       "            return resolve(paths[lib]);\n",
-       "          };\n",
-       "          s.onerror = () => reject(`Error loading script: ${paths[lib]}`);\n",
-       "          s.src = paths[lib];\n",
-       "        });\n",
-       "    }\n",
-       "\n",
-       "    function showError(err) {\n",
-       "      outputDiv.innerHTML = `<div class=\"error\" style=\"color:red;\">${err}</div>`;\n",
-       "      throw err;\n",
-       "    }\n",
-       "\n",
-       "    function displayChart(vegaEmbed) {\n",
-       "      vegaEmbed(outputDiv, spec, embedOpt)\n",
-       "        .catch(err => showError(`Javascript Error: ${err.message}<br>This usually means there's a typo in your chart specification. See the javascript console for the full traceback.`));\n",
-       "    }\n",
-       "\n",
-       "    if(typeof define === \"function\" && define.amd) {\n",
-       "      requirejs.config({paths});\n",
-       "      require([\"vega-embed\"], displayChart, err => showError(`Error loading script: ${err.message}`));\n",
-       "    } else {\n",
-       "      maybeLoadScript(\"vega\", \"5\")\n",
-       "        .then(() => maybeLoadScript(\"vega-lite\", \"4.17.0\"))\n",
-       "        .then(() => maybeLoadScript(\"vega-embed\", \"6\"))\n",
-       "        .catch(showError)\n",
-       "        .then(() => displayChart(vegaEmbed));\n",
-       "    }\n",
-       "  })({\"config\": {\"view\": {\"continuousWidth\": 400, \"continuousHeight\": 300}}, \"data\": {\"name\": \"data-124c435c1b687eb7890344117a1c86b4\"}, \"mark\": \"bar\", \"encoding\": {\"x\": {\"field\": \"condition\", \"scale\": {\"type\": \"ordinal\"}, \"type\": \"nominal\"}, \"y\": {\"aggregate\": \"mean\", \"field\": \"temperature\", \"scale\": {\"type\": \"linear\", \"zero\": true}, \"type\": \"quantitative\"}}, \"$schema\": \"https://vega.github.io/schema/vega-lite/v4.17.0.json\", \"datasets\": {\"data-124c435c1b687eb7890344117a1c86b4\": [{\"temperature\": 17.89365303788651, \"wind\": 78.75685633883592, \"precipitation\": 41.61124606702779, \"condition\": \"rain\"}, {\"temperature\": 5.622818441769336, \"wind\": 25.421998841055917, \"precipitation\": 74.90555083684964, \"condition\": \"rain\"}, {\"temperature\": 23.3902094090436, \"wind\": 9.846103163487696, \"precipitation\": 81.33536438710783, \"condition\": \"rain\"}, {\"temperature\": 20.889554427248395, \"wind\": 27.53521295661492, \"precipitation\": 27.6549324712597, \"condition\": \"drizzle\"}, {\"temperature\": 33.91026207788065, \"wind\": 97.91032820138525, \"precipitation\": 36.53494267552425, \"condition\": \"snow\"}, {\"temperature\": 39.65611406756084, \"wind\": 24.27383951799732, \"precipitation\": 33.38647147375286, \"condition\": \"rain\"}, {\"temperature\": 5.670659801967243, \"wind\": 98.20197823012846, \"precipitation\": 93.72832557739356, \"condition\": \"snow\"}, {\"temperature\": -2.2776070811204505, \"wind\": 77.90443786588797, \"precipitation\": 50.102310147035375, \"condition\": \"drizzle\"}, {\"temperature\": 43.104548648992775, \"wind\": 74.77698982401796, \"precipitation\": 89.95647852559429, \"condition\": \"sun\"}, {\"temperature\": 1.8049661385207525, \"wind\": 91.29152261118769, \"precipitation\": 29.77145087552332, \"condition\": \"fog\"}, {\"temperature\": 14.327115187571408, \"wind\": 45.054261048821296, \"precipitation\": 17.654846400296798, \"condition\": \"drizzle\"}, {\"temperature\": 25.44797791508993, \"wind\": 22.265267642454656, \"precipitation\": 60.37929677885421, \"condition\": \"drizzle\"}, {\"temperature\": 11.19016835531465, \"wind\": 77.30294308487814, \"precipitation\": 71.65443847888368, \"condition\": \"snow\"}, {\"temperature\": 22.948827407585433, \"wind\": 27.03785915458824, \"precipitation\": 92.68901140573688, \"condition\": \"snow\"}, {\"temperature\": 33.16555388154543, \"wind\": 92.1292103045794, \"precipitation\": 39.10838647644195, \"condition\": \"snow\"}, {\"temperature\": 9.981393546660723, \"wind\": 66.73004528306666, \"precipitation\": 19.36957583451713, \"condition\": \"drizzle\"}, {\"temperature\": 2.837559858993796, \"wind\": 18.62443662393004, \"precipitation\": 57.42273968155751, \"condition\": \"sun\"}, {\"temperature\": 39.14290590745285, \"wind\": 32.52859013259527, \"precipitation\": 88.21897530715309, \"condition\": \"rain\"}, {\"temperature\": 39.2325438266719, \"wind\": 2.511353474345024, \"precipitation\": 78.95158173752907, \"condition\": \"fog\"}, {\"temperature\": 2.949456835649645, \"wind\": 1.9370157264502197, \"precipitation\": 3.5337114891518584, \"condition\": \"fog\"}, {\"temperature\": 28.422917308067277, \"wind\": 6.822434636914776, \"precipitation\": 84.5655158038795, \"condition\": \"fog\"}, {\"temperature\": 28.406344711783838, \"wind\": 95.25216996998444, \"precipitation\": 2.312429289727791, \"condition\": \"fog\"}, {\"temperature\": 23.929825809705775, \"wind\": 28.441727967722407, \"precipitation\": 94.94371547195382, \"condition\": \"drizzle\"}, {\"temperature\": 25.144603850494207, \"wind\": 5.7248518372133965, \"precipitation\": 72.55961327284773, \"condition\": \"drizzle\"}, {\"temperature\": -3.1069016270510676, \"wind\": 90.56068308052812, \"precipitation\": 8.208347981870512, \"condition\": \"rain\"}, {\"temperature\": 43.07443333444708, \"wind\": 63.33777651825151, \"precipitation\": 35.343598004733714, \"condition\": \"sun\"}, {\"temperature\": -8.715631484900875, \"wind\": 78.50049089036061, \"precipitation\": 16.726772866900042, \"condition\": \"fog\"}, {\"temperature\": 10.058625587365142, \"wind\": 82.55410159133031, \"precipitation\": 49.82193593499935, \"condition\": \"fog\"}, {\"temperature\": 27.912341883718938, \"wind\": 45.94389098129158, \"precipitation\": 87.71806691348185, \"condition\": \"sun\"}, {\"temperature\": 28.827008981675903, \"wind\": 14.352645600160752, \"precipitation\": 95.30777240838884, \"condition\": \"sun\"}, {\"temperature\": -5.245472855196331, \"wind\": 24.463633090927274, \"precipitation\": 63.1630488725617, \"condition\": \"fog\"}, {\"temperature\": -4.738627417736829, \"wind\": 87.61779675788263, \"precipitation\": 67.17488470646667, \"condition\": \"fog\"}, {\"temperature\": -1.6463371096382655, \"wind\": 34.15953757649686, \"precipitation\": 83.20021064524306, \"condition\": \"rain\"}, {\"temperature\": -8.671469939339552, \"wind\": 28.02148157701091, \"precipitation\": 8.858286414027772, \"condition\": \"snow\"}, {\"temperature\": 23.586980668182306, \"wind\": 32.61177727202879, \"precipitation\": 90.55384722692395, \"condition\": \"snow\"}, {\"temperature\": 42.93552301196303, \"wind\": 17.459007963452034, \"precipitation\": 76.26693620563219, \"condition\": \"sun\"}, {\"temperature\": 14.04271616398174, \"wind\": 31.44611970670743, \"precipitation\": 27.736449442339893, \"condition\": \"rain\"}, {\"temperature\": 33.93136729382773, \"wind\": 85.0980112392488, \"precipitation\": 48.72266227519502, \"condition\": \"fog\"}, {\"temperature\": 29.10713627050935, \"wind\": 25.401508775422734, \"precipitation\": 83.25120184383715, \"condition\": \"fog\"}, {\"temperature\": 23.33130010979005, \"wind\": 38.960479467358745, \"precipitation\": 84.8094568801428, \"condition\": \"rain\"}, {\"temperature\": 27.820447049966695, \"wind\": 97.47611794506456, \"precipitation\": 59.404606053602336, \"condition\": \"fog\"}, {\"temperature\": 24.704809156505995, \"wind\": 56.929461372432655, \"precipitation\": 16.583726619344496, \"condition\": \"drizzle\"}, {\"temperature\": 42.73839675123029, \"wind\": 19.024929246369528, \"precipitation\": 37.515692671204135, \"condition\": \"sun\"}, {\"temperature\": 39.73480992464111, \"wind\": 63.10268501376382, \"precipitation\": 15.20512544845365, \"condition\": \"fog\"}, {\"temperature\": 34.928857478491054, \"wind\": 44.34437827092474, \"precipitation\": 2.9919970218495684, \"condition\": \"sun\"}, {\"temperature\": 12.475457440238529, \"wind\": 45.63508245761745, \"precipitation\": 1.5684442569828705, \"condition\": \"fog\"}, {\"temperature\": 11.485742656702111, \"wind\": 35.43011450755876, \"precipitation\": 46.843314320146966, \"condition\": \"fog\"}, {\"temperature\": 16.58332024159822, \"wind\": 85.9387003246595, \"precipitation\": 67.67417859666371, \"condition\": \"sun\"}, {\"temperature\": 42.96961504747511, \"wind\": 61.02100908610409, \"precipitation\": 40.19537213295094, \"condition\": \"snow\"}, {\"temperature\": 43.01306682260888, \"wind\": 91.58796490357004, \"precipitation\": 10.242970289225461, \"condition\": \"sun\"}, {\"temperature\": 17.888206090116245, \"wind\": 29.82373325722851, \"precipitation\": 44.29455934969246, \"condition\": \"sun\"}, {\"temperature\": 13.700882757230424, \"wind\": 46.93705512034313, \"precipitation\": 76.07676796446637, \"condition\": \"rain\"}, {\"temperature\": 4.986331720563626, \"wind\": 81.90760931416689, \"precipitation\": 34.892239668746406, \"condition\": \"drizzle\"}, {\"temperature\": -1.4778346288931683, \"wind\": 3.9791854357363987, \"precipitation\": 7.535152538482148, \"condition\": \"drizzle\"}, {\"temperature\": 16.892161248783623, \"wind\": 31.993361074291926, \"precipitation\": 60.46401934620111, \"condition\": \"drizzle\"}, {\"temperature\": -7.17506030059671, \"wind\": 5.042336185555952, \"precipitation\": 88.35922403405787, \"condition\": \"drizzle\"}, {\"temperature\": 9.85908134441586, \"wind\": 48.491362316119236, \"precipitation\": 23.80248472573617, \"condition\": \"snow\"}, {\"temperature\": 28.54368725395195, \"wind\": 5.72748587709313, \"precipitation\": 25.974359374267742, \"condition\": \"drizzle\"}, {\"temperature\": 41.85044222939622, \"wind\": 3.311333417116047, \"precipitation\": 1.7918023488591839, \"condition\": \"snow\"}, {\"temperature\": 39.51847585775124, \"wind\": 89.64939452111453, \"precipitation\": 48.53950512768904, \"condition\": \"fog\"}, {\"temperature\": 4.1511791382858725, \"wind\": 58.14172937556887, \"precipitation\": 79.66452798481971, \"condition\": \"drizzle\"}, {\"temperature\": 7.316849144326355, \"wind\": 6.796864846855866, \"precipitation\": 33.619090549629306, \"condition\": \"snow\"}, {\"temperature\": -6.040726652488083, \"wind\": 24.37214720554359, \"precipitation\": 71.46568853073089, \"condition\": \"rain\"}, {\"temperature\": 28.05026452008928, \"wind\": 19.39989397387041, \"precipitation\": 71.68725771245654, \"condition\": \"drizzle\"}, {\"temperature\": 35.30623993317926, \"wind\": 66.54091843981752, \"precipitation\": 22.884049790672588, \"condition\": \"rain\"}, {\"temperature\": -9.078168118751755, \"wind\": 54.53321547753263, \"precipitation\": 66.43449936744369, \"condition\": \"sun\"}, {\"temperature\": 34.31111609068961, \"wind\": 92.79899053872957, \"precipitation\": 61.9431928594434, \"condition\": \"sun\"}, {\"temperature\": -0.5340863902706268, \"wind\": 89.18484464889846, \"precipitation\": 88.49655552922172, \"condition\": \"rain\"}, {\"temperature\": -7.331283732097262, \"wind\": 16.43300088620039, \"precipitation\": 92.15523633598885, \"condition\": \"drizzle\"}, {\"temperature\": 34.4512940591614, \"wind\": 16.982566694713043, \"precipitation\": 66.50391898652623, \"condition\": \"fog\"}, {\"temperature\": 2.292195972387347, \"wind\": 78.07758659490037, \"precipitation\": 85.08941323813521, \"condition\": \"snow\"}, {\"temperature\": 10.280188069701488, \"wind\": 64.37598506985243, \"precipitation\": 46.13428294966927, \"condition\": \"sun\"}, {\"temperature\": 14.385637791164196, \"wind\": 27.710246014732775, \"precipitation\": 82.18132103083111, \"condition\": \"rain\"}, {\"temperature\": 15.068929930658907, \"wind\": 90.37313777532859, \"precipitation\": 95.42688091272505, \"condition\": \"rain\"}, {\"temperature\": -5.931704200276687, \"wind\": 76.30697305192514, \"precipitation\": 48.17926018036856, \"condition\": \"drizzle\"}, {\"temperature\": -1.2238906425326128, \"wind\": 77.25655113115953, \"precipitation\": 12.189057445370022, \"condition\": \"sun\"}, {\"temperature\": 17.981273164150583, \"wind\": 99.8855194023956, \"precipitation\": 5.951490853046981, \"condition\": \"drizzle\"}, {\"temperature\": 8.333054222089164, \"wind\": 22.351144710727677, \"precipitation\": 1.9907985646430038, \"condition\": \"rain\"}, {\"temperature\": 40.99117292213711, \"wind\": 12.537186007473021, \"precipitation\": 3.0957134444521195, \"condition\": \"drizzle\"}, {\"temperature\": 36.29560583814439, \"wind\": 47.282861379528676, \"precipitation\": 50.72175472263106, \"condition\": \"fog\"}, {\"temperature\": 8.011942225789358, \"wind\": 80.64679426688298, \"precipitation\": 84.74031260132877, \"condition\": \"sun\"}, {\"temperature\": 32.64189921238727, \"wind\": 78.38867921926278, \"precipitation\": 94.27015659699374, \"condition\": \"fog\"}, {\"temperature\": -4.159829210634211, \"wind\": 53.39060475873939, \"precipitation\": 50.60795287404672, \"condition\": \"fog\"}, {\"temperature\": -6.602296737522483, \"wind\": 86.55899134629715, \"precipitation\": 62.64697378600636, \"condition\": \"fog\"}, {\"temperature\": 40.135239145180655, \"wind\": 16.633704419495032, \"precipitation\": 41.391087682479736, \"condition\": \"drizzle\"}, {\"temperature\": 26.95881305440288, \"wind\": 85.8809786017975, \"precipitation\": 71.9617762842435, \"condition\": \"drizzle\"}, {\"temperature\": 11.92991543604046, \"wind\": 76.39140196294017, \"precipitation\": 60.40612399492309, \"condition\": \"drizzle\"}, {\"temperature\": 19.566301202766702, \"wind\": 72.97802286558691, \"precipitation\": 29.681848692175006, \"condition\": \"drizzle\"}, {\"temperature\": 10.481864045771506, \"wind\": 10.269367839292642, \"precipitation\": 85.87287289024248, \"condition\": \"rain\"}, {\"temperature\": -9.620152753805623, \"wind\": 64.57630699894213, \"precipitation\": 29.06583641537993, \"condition\": \"drizzle\"}, {\"temperature\": 24.85823346816882, \"wind\": 64.44200648973889, \"precipitation\": 32.79358601401415, \"condition\": \"sun\"}, {\"temperature\": -9.71401231081625, \"wind\": 46.94482107365025, \"precipitation\": 71.95828763550503, \"condition\": \"rain\"}, {\"temperature\": 15.802582568794556, \"wind\": 5.568264782160037, \"precipitation\": 16.50277435360922, \"condition\": \"sun\"}, {\"temperature\": 29.44740698845427, \"wind\": 66.4224540835048, \"precipitation\": 96.91347272575433, \"condition\": \"snow\"}, {\"temperature\": 0.1789559651072139, \"wind\": 37.144396583281235, \"precipitation\": 7.3927878065009445, \"condition\": \"snow\"}, {\"temperature\": 37.90262114384076, \"wind\": 23.744567572534315, \"precipitation\": 85.44013318397162, \"condition\": \"fog\"}, {\"temperature\": 40.40503203411964, \"wind\": 71.68155336881077, \"precipitation\": 91.260802513042, \"condition\": \"snow\"}, {\"temperature\": 2.723433474361908, \"wind\": 5.85694236985378, \"precipitation\": 54.0295184169758, \"condition\": \"drizzle\"}, {\"temperature\": 9.452609321039336, \"wind\": 52.7843932253772, \"precipitation\": 90.04450333194686, \"condition\": \"fog\"}, {\"temperature\": 18.909153974667404, \"wind\": 13.725377509230263, \"precipitation\": 34.56974350594094, \"condition\": \"sun\"}]}}, {\"mode\": \"vega-lite\"});\n",
-       "</script>"
-      ],
-      "text/plain": [
-       "alt.Chart(...)"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "base = alt.Chart(df)\n",
-    "bar = base.mark_bar().encode(\n",
-    "    x=alt.X(field=\"condition\", type=\"nominal\", scale=alt.Scale(type=\"ordinal\")),\n",
-    "    y=alt.Y(\n",
-    "        field=\"temperature\",\n",
-    "        type=\"quantitative\",\n",
-    "        aggregate=\"mean\",\n",
-    "        scale=alt.Scale(type=\"linear\", zero=True),\n",
-    "    ),\n",
-    ")\n",
-    "display_chart(bar)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### Radial Chart"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 12,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "{'field': [{'name': 'temperature', 'type': 'number'},\n",
-      "           {'name': 'condition', 'type': 'string'}],\n",
-      " 'number_rows': 100,\n",
-      " 'view': [{'coordinates': 'polar',\n",
-      "           'mark': [{'encoding': [{'channel': 'x', 'field': 'condition'},\n",
-      "                                  {'aggregate': 'mean',\n",
-      "                                   'channel': 'y',\n",
-      "                                   'field': 'temperature'}],\n",
-      "                     'type': 'bar'}],\n",
-      "           'scale': [{'channel': 'x', 'type': 'ordinal'},\n",
-      "                     {'channel': 'y', 'type': 'linear', 'zero': 'true'}]}]}\n"
-     ]
-    }
-   ],
-   "source": [
-    "facts = [\n",
-    "    \"attribute(number_rows,root,100).\",\n",
-    "    \"entity(field,root,temperature).\",\n",
-    "    \"attribute((field,name),temperature,temperature).\",\n",
-    "    \"attribute((field,type),temperature,number).\",\n",
-    "    \"entity(field,root,condition).\",\n",
-    "    \"attribute((field,name),condition,condition).\",\n",
-    "    \"attribute((field,type),condition,string).\",\n",
-    "    \"entity(view,root,0).\",\n",
-    "    \"attribute((view,coordinates),0,polar).\",\n",
-    "    \"entity(mark,0,1).\",\n",
-    "    \"attribute((mark,type),1,bar).\",\n",
-    "    \"entity(encoding,1,2).\",\n",
-    "    \"attribute((encoding,channel),2,x).\",\n",
-    "    \"attribute((encoding,field),2,condition).\",\n",
-    "    \"entity(encoding,1,3).\",\n",
-    "    \"attribute((encoding,channel),3,y).\",\n",
-    "    \"attribute((encoding,field),3,temperature).\",\n",
-    "    \"attribute((encoding,aggregate),3,mean).\",\n",
-    "    \"entity(scale,0,4).\",\n",
-    "    \"attribute((scale,channel),4,x).\",\n",
-    "    \"attribute((scale,type),4,ordinal).\",\n",
-    "    \"entity(scale,0,5).\",\n",
-    "    \"attribute((scale,channel),5,y).\",\n",
-    "    \"attribute((scale,type),5,linear).\",\n",
-    "    \"attribute((scale,zero),5,true).\",\n",
-    "]\n",
-    "spec = facts_to_dict(facts)\n",
-    "pprint(spec)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 13,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "{'$schema': 'https://vega.github.io/schema/vega-lite/v4.17.0.json',\n",
-      " 'config': {'view': {'continuousHeight': 300, 'continuousWidth': 400}},\n",
-      " 'layer': [{'encoding': {'radius': {'aggregate': 'mean',\n",
-      "                                    'field': 'temperature',\n",
-      "                                    'type': 'quantitative'},\n",
-      "                         'theta': {'field': 'condition', 'type': 'nominal'}},\n",
-      "            'mark': {'stroke': '#ffffff', 'type': 'arc'}},\n",
-      "           {'encoding': {'radius': {'aggregate': 'mean',\n",
-      "                                    'field': 'temperature',\n",
-      "                                    'type': 'quantitative'},\n",
-      "                         'text': {'field': 'condition', 'type': 'nominal'},\n",
-      "                         'theta': {'field': 'condition', 'type': 'nominal'}},\n",
-      "            'mark': {'radiusOffset': 15, 'type': 'text'}}]}\n"
-     ]
-    },
-    {
-     "data": {
-      "text/html": [
-       "\n",
-       "<div id=\"altair-viz-e87f676f7bec4b4e825d4f3fceacc659\"></div>\n",
-       "<script type=\"text/javascript\">\n",
-       "  var VEGA_DEBUG = (typeof VEGA_DEBUG == \"undefined\") ? {} : VEGA_DEBUG;\n",
-       "  (function(spec, embedOpt){\n",
-       "    let outputDiv = document.currentScript.previousElementSibling;\n",
-       "    if (outputDiv.id !== \"altair-viz-e87f676f7bec4b4e825d4f3fceacc659\") {\n",
-       "      outputDiv = document.getElementById(\"altair-viz-e87f676f7bec4b4e825d4f3fceacc659\");\n",
-       "    }\n",
-       "    const paths = {\n",
-       "      \"vega\": \"https://cdn.jsdelivr.net/npm//vega@5?noext\",\n",
-       "      \"vega-lib\": \"https://cdn.jsdelivr.net/npm//vega-lib?noext\",\n",
-       "      \"vega-lite\": \"https://cdn.jsdelivr.net/npm//vega-lite@4.17.0?noext\",\n",
-       "      \"vega-embed\": \"https://cdn.jsdelivr.net/npm//vega-embed@6?noext\",\n",
-       "    };\n",
-       "\n",
-       "    function maybeLoadScript(lib, version) {\n",
-       "      var key = `${lib.replace(\"-\", \"\")}_version`;\n",
-       "      return (VEGA_DEBUG[key] == version) ?\n",
-       "        Promise.resolve(paths[lib]) :\n",
-       "        new Promise(function(resolve, reject) {\n",
-       "          var s = document.createElement('script');\n",
-       "          document.getElementsByTagName(\"head\")[0].appendChild(s);\n",
-       "          s.async = true;\n",
-       "          s.onload = () => {\n",
-       "            VEGA_DEBUG[key] = version;\n",
-       "            return resolve(paths[lib]);\n",
-       "          };\n",
-       "          s.onerror = () => reject(`Error loading script: ${paths[lib]}`);\n",
-       "          s.src = paths[lib];\n",
-       "        });\n",
-       "    }\n",
-       "\n",
-       "    function showError(err) {\n",
-       "      outputDiv.innerHTML = `<div class=\"error\" style=\"color:red;\">${err}</div>`;\n",
-       "      throw err;\n",
-       "    }\n",
-       "\n",
-       "    function displayChart(vegaEmbed) {\n",
-       "      vegaEmbed(outputDiv, spec, embedOpt)\n",
-       "        .catch(err => showError(`Javascript Error: ${err.message}<br>This usually means there's a typo in your chart specification. See the javascript console for the full traceback.`));\n",
-       "    }\n",
-       "\n",
-       "    if(typeof define === \"function\" && define.amd) {\n",
-       "      requirejs.config({paths});\n",
-       "      require([\"vega-embed\"], displayChart, err => showError(`Error loading script: ${err.message}`));\n",
-       "    } else {\n",
-       "      maybeLoadScript(\"vega\", \"5\")\n",
-       "        .then(() => maybeLoadScript(\"vega-lite\", \"4.17.0\"))\n",
-       "        .then(() => maybeLoadScript(\"vega-embed\", \"6\"))\n",
-       "        .catch(showError)\n",
-       "        .then(() => displayChart(vegaEmbed));\n",
-       "    }\n",
-       "  })({\"config\": {\"view\": {\"continuousWidth\": 400, \"continuousHeight\": 300}}, \"layer\": [{\"mark\": {\"type\": \"arc\", \"stroke\": \"#ffffff\"}, \"encoding\": {\"radius\": {\"aggregate\": \"mean\", \"field\": \"temperature\", \"type\": \"quantitative\"}, \"theta\": {\"field\": \"condition\", \"type\": \"nominal\"}}}, {\"mark\": {\"type\": \"text\", \"radiusOffset\": 15}, \"encoding\": {\"radius\": {\"aggregate\": \"mean\", \"field\": \"temperature\", \"type\": \"quantitative\"}, \"text\": {\"field\": \"condition\", \"type\": \"nominal\"}, \"theta\": {\"field\": \"condition\", \"type\": \"nominal\"}}}], \"data\": {\"name\": \"data-124c435c1b687eb7890344117a1c86b4\"}, \"$schema\": \"https://vega.github.io/schema/vega-lite/v4.17.0.json\", \"datasets\": {\"data-124c435c1b687eb7890344117a1c86b4\": [{\"temperature\": 17.89365303788651, \"wind\": 78.75685633883592, \"precipitation\": 41.61124606702779, \"condition\": \"rain\"}, {\"temperature\": 5.622818441769336, \"wind\": 25.421998841055917, \"precipitation\": 74.90555083684964, \"condition\": \"rain\"}, {\"temperature\": 23.3902094090436, \"wind\": 9.846103163487696, \"precipitation\": 81.33536438710783, \"condition\": \"rain\"}, {\"temperature\": 20.889554427248395, \"wind\": 27.53521295661492, \"precipitation\": 27.6549324712597, \"condition\": \"drizzle\"}, {\"temperature\": 33.91026207788065, \"wind\": 97.91032820138525, \"precipitation\": 36.53494267552425, \"condition\": \"snow\"}, {\"temperature\": 39.65611406756084, \"wind\": 24.27383951799732, \"precipitation\": 33.38647147375286, \"condition\": \"rain\"}, {\"temperature\": 5.670659801967243, \"wind\": 98.20197823012846, \"precipitation\": 93.72832557739356, \"condition\": \"snow\"}, {\"temperature\": -2.2776070811204505, \"wind\": 77.90443786588797, \"precipitation\": 50.102310147035375, \"condition\": \"drizzle\"}, {\"temperature\": 43.104548648992775, \"wind\": 74.77698982401796, \"precipitation\": 89.95647852559429, \"condition\": \"sun\"}, {\"temperature\": 1.8049661385207525, \"wind\": 91.29152261118769, \"precipitation\": 29.77145087552332, \"condition\": \"fog\"}, {\"temperature\": 14.327115187571408, \"wind\": 45.054261048821296, \"precipitation\": 17.654846400296798, \"condition\": \"drizzle\"}, {\"temperature\": 25.44797791508993, \"wind\": 22.265267642454656, \"precipitation\": 60.37929677885421, \"condition\": \"drizzle\"}, {\"temperature\": 11.19016835531465, \"wind\": 77.30294308487814, \"precipitation\": 71.65443847888368, \"condition\": \"snow\"}, {\"temperature\": 22.948827407585433, \"wind\": 27.03785915458824, \"precipitation\": 92.68901140573688, \"condition\": \"snow\"}, {\"temperature\": 33.16555388154543, \"wind\": 92.1292103045794, \"precipitation\": 39.10838647644195, \"condition\": \"snow\"}, {\"temperature\": 9.981393546660723, \"wind\": 66.73004528306666, \"precipitation\": 19.36957583451713, \"condition\": \"drizzle\"}, {\"temperature\": 2.837559858993796, \"wind\": 18.62443662393004, \"precipitation\": 57.42273968155751, \"condition\": \"sun\"}, {\"temperature\": 39.14290590745285, \"wind\": 32.52859013259527, \"precipitation\": 88.21897530715309, \"condition\": \"rain\"}, {\"temperature\": 39.2325438266719, \"wind\": 2.511353474345024, \"precipitation\": 78.95158173752907, \"condition\": \"fog\"}, {\"temperature\": 2.949456835649645, \"wind\": 1.9370157264502197, \"precipitation\": 3.5337114891518584, \"condition\": \"fog\"}, {\"temperature\": 28.422917308067277, \"wind\": 6.822434636914776, \"precipitation\": 84.5655158038795, \"condition\": \"fog\"}, {\"temperature\": 28.406344711783838, \"wind\": 95.25216996998444, \"precipitation\": 2.312429289727791, \"condition\": \"fog\"}, {\"temperature\": 23.929825809705775, \"wind\": 28.441727967722407, \"precipitation\": 94.94371547195382, \"condition\": \"drizzle\"}, {\"temperature\": 25.144603850494207, \"wind\": 5.7248518372133965, \"precipitation\": 72.55961327284773, \"condition\": \"drizzle\"}, {\"temperature\": -3.1069016270510676, \"wind\": 90.56068308052812, \"precipitation\": 8.208347981870512, \"condition\": \"rain\"}, {\"temperature\": 43.07443333444708, \"wind\": 63.33777651825151, \"precipitation\": 35.343598004733714, \"condition\": \"sun\"}, {\"temperature\": -8.715631484900875, \"wind\": 78.50049089036061, \"precipitation\": 16.726772866900042, \"condition\": \"fog\"}, {\"temperature\": 10.058625587365142, \"wind\": 82.55410159133031, \"precipitation\": 49.82193593499935, \"condition\": \"fog\"}, {\"temperature\": 27.912341883718938, \"wind\": 45.94389098129158, \"precipitation\": 87.71806691348185, \"condition\": \"sun\"}, {\"temperature\": 28.827008981675903, \"wind\": 14.352645600160752, \"precipitation\": 95.30777240838884, \"condition\": \"sun\"}, {\"temperature\": -5.245472855196331, \"wind\": 24.463633090927274, \"precipitation\": 63.1630488725617, \"condition\": \"fog\"}, {\"temperature\": -4.738627417736829, \"wind\": 87.61779675788263, \"precipitation\": 67.17488470646667, \"condition\": \"fog\"}, {\"temperature\": -1.6463371096382655, \"wind\": 34.15953757649686, \"precipitation\": 83.20021064524306, \"condition\": \"rain\"}, {\"temperature\": -8.671469939339552, \"wind\": 28.02148157701091, \"precipitation\": 8.858286414027772, \"condition\": \"snow\"}, {\"temperature\": 23.586980668182306, \"wind\": 32.61177727202879, \"precipitation\": 90.55384722692395, \"condition\": \"snow\"}, {\"temperature\": 42.93552301196303, \"wind\": 17.459007963452034, \"precipitation\": 76.26693620563219, \"condition\": \"sun\"}, {\"temperature\": 14.04271616398174, \"wind\": 31.44611970670743, \"precipitation\": 27.736449442339893, \"condition\": \"rain\"}, {\"temperature\": 33.93136729382773, \"wind\": 85.0980112392488, \"precipitation\": 48.72266227519502, \"condition\": \"fog\"}, {\"temperature\": 29.10713627050935, \"wind\": 25.401508775422734, \"precipitation\": 83.25120184383715, \"condition\": \"fog\"}, {\"temperature\": 23.33130010979005, \"wind\": 38.960479467358745, \"precipitation\": 84.8094568801428, \"condition\": \"rain\"}, {\"temperature\": 27.820447049966695, \"wind\": 97.47611794506456, \"precipitation\": 59.404606053602336, \"condition\": \"fog\"}, {\"temperature\": 24.704809156505995, \"wind\": 56.929461372432655, \"precipitation\": 16.583726619344496, \"condition\": \"drizzle\"}, {\"temperature\": 42.73839675123029, \"wind\": 19.024929246369528, \"precipitation\": 37.515692671204135, \"condition\": \"sun\"}, {\"temperature\": 39.73480992464111, \"wind\": 63.10268501376382, \"precipitation\": 15.20512544845365, \"condition\": \"fog\"}, {\"temperature\": 34.928857478491054, \"wind\": 44.34437827092474, \"precipitation\": 2.9919970218495684, \"condition\": \"sun\"}, {\"temperature\": 12.475457440238529, \"wind\": 45.63508245761745, \"precipitation\": 1.5684442569828705, \"condition\": \"fog\"}, {\"temperature\": 11.485742656702111, \"wind\": 35.43011450755876, \"precipitation\": 46.843314320146966, \"condition\": \"fog\"}, {\"temperature\": 16.58332024159822, \"wind\": 85.9387003246595, \"precipitation\": 67.67417859666371, \"condition\": \"sun\"}, {\"temperature\": 42.96961504747511, \"wind\": 61.02100908610409, \"precipitation\": 40.19537213295094, \"condition\": \"snow\"}, {\"temperature\": 43.01306682260888, \"wind\": 91.58796490357004, \"precipitation\": 10.242970289225461, \"condition\": \"sun\"}, {\"temperature\": 17.888206090116245, \"wind\": 29.82373325722851, \"precipitation\": 44.29455934969246, \"condition\": \"sun\"}, {\"temperature\": 13.700882757230424, \"wind\": 46.93705512034313, \"precipitation\": 76.07676796446637, \"condition\": \"rain\"}, {\"temperature\": 4.986331720563626, \"wind\": 81.90760931416689, \"precipitation\": 34.892239668746406, \"condition\": \"drizzle\"}, {\"temperature\": -1.4778346288931683, \"wind\": 3.9791854357363987, \"precipitation\": 7.535152538482148, \"condition\": \"drizzle\"}, {\"temperature\": 16.892161248783623, \"wind\": 31.993361074291926, \"precipitation\": 60.46401934620111, \"condition\": \"drizzle\"}, {\"temperature\": -7.17506030059671, \"wind\": 5.042336185555952, \"precipitation\": 88.35922403405787, \"condition\": \"drizzle\"}, {\"temperature\": 9.85908134441586, \"wind\": 48.491362316119236, \"precipitation\": 23.80248472573617, \"condition\": \"snow\"}, {\"temperature\": 28.54368725395195, \"wind\": 5.72748587709313, \"precipitation\": 25.974359374267742, \"condition\": \"drizzle\"}, {\"temperature\": 41.85044222939622, \"wind\": 3.311333417116047, \"precipitation\": 1.7918023488591839, \"condition\": \"snow\"}, {\"temperature\": 39.51847585775124, \"wind\": 89.64939452111453, \"precipitation\": 48.53950512768904, \"condition\": \"fog\"}, {\"temperature\": 4.1511791382858725, \"wind\": 58.14172937556887, \"precipitation\": 79.66452798481971, \"condition\": \"drizzle\"}, {\"temperature\": 7.316849144326355, \"wind\": 6.796864846855866, \"precipitation\": 33.619090549629306, \"condition\": \"snow\"}, {\"temperature\": -6.040726652488083, \"wind\": 24.37214720554359, \"precipitation\": 71.46568853073089, \"condition\": \"rain\"}, {\"temperature\": 28.05026452008928, \"wind\": 19.39989397387041, \"precipitation\": 71.68725771245654, \"condition\": \"drizzle\"}, {\"temperature\": 35.30623993317926, \"wind\": 66.54091843981752, \"precipitation\": 22.884049790672588, \"condition\": \"rain\"}, {\"temperature\": -9.078168118751755, \"wind\": 54.53321547753263, \"precipitation\": 66.43449936744369, \"condition\": \"sun\"}, {\"temperature\": 34.31111609068961, \"wind\": 92.79899053872957, \"precipitation\": 61.9431928594434, \"condition\": \"sun\"}, {\"temperature\": -0.5340863902706268, \"wind\": 89.18484464889846, \"precipitation\": 88.49655552922172, \"condition\": \"rain\"}, {\"temperature\": -7.331283732097262, \"wind\": 16.43300088620039, \"precipitation\": 92.15523633598885, \"condition\": \"drizzle\"}, {\"temperature\": 34.4512940591614, \"wind\": 16.982566694713043, \"precipitation\": 66.50391898652623, \"condition\": \"fog\"}, {\"temperature\": 2.292195972387347, \"wind\": 78.07758659490037, \"precipitation\": 85.08941323813521, \"condition\": \"snow\"}, {\"temperature\": 10.280188069701488, \"wind\": 64.37598506985243, \"precipitation\": 46.13428294966927, \"condition\": \"sun\"}, {\"temperature\": 14.385637791164196, \"wind\": 27.710246014732775, \"precipitation\": 82.18132103083111, \"condition\": \"rain\"}, {\"temperature\": 15.068929930658907, \"wind\": 90.37313777532859, \"precipitation\": 95.42688091272505, \"condition\": \"rain\"}, {\"temperature\": -5.931704200276687, \"wind\": 76.30697305192514, \"precipitation\": 48.17926018036856, \"condition\": \"drizzle\"}, {\"temperature\": -1.2238906425326128, \"wind\": 77.25655113115953, \"precipitation\": 12.189057445370022, \"condition\": \"sun\"}, {\"temperature\": 17.981273164150583, \"wind\": 99.8855194023956, \"precipitation\": 5.951490853046981, \"condition\": \"drizzle\"}, {\"temperature\": 8.333054222089164, \"wind\": 22.351144710727677, \"precipitation\": 1.9907985646430038, \"condition\": \"rain\"}, {\"temperature\": 40.99117292213711, \"wind\": 12.537186007473021, \"precipitation\": 3.0957134444521195, \"condition\": \"drizzle\"}, {\"temperature\": 36.29560583814439, \"wind\": 47.282861379528676, \"precipitation\": 50.72175472263106, \"condition\": \"fog\"}, {\"temperature\": 8.011942225789358, \"wind\": 80.64679426688298, \"precipitation\": 84.74031260132877, \"condition\": \"sun\"}, {\"temperature\": 32.64189921238727, \"wind\": 78.38867921926278, \"precipitation\": 94.27015659699374, \"condition\": \"fog\"}, {\"temperature\": -4.159829210634211, \"wind\": 53.39060475873939, \"precipitation\": 50.60795287404672, \"condition\": \"fog\"}, {\"temperature\": -6.602296737522483, \"wind\": 86.55899134629715, \"precipitation\": 62.64697378600636, \"condition\": \"fog\"}, {\"temperature\": 40.135239145180655, \"wind\": 16.633704419495032, \"precipitation\": 41.391087682479736, \"condition\": \"drizzle\"}, {\"temperature\": 26.95881305440288, \"wind\": 85.8809786017975, \"precipitation\": 71.9617762842435, \"condition\": \"drizzle\"}, {\"temperature\": 11.92991543604046, \"wind\": 76.39140196294017, \"precipitation\": 60.40612399492309, \"condition\": \"drizzle\"}, {\"temperature\": 19.566301202766702, \"wind\": 72.97802286558691, \"precipitation\": 29.681848692175006, \"condition\": \"drizzle\"}, {\"temperature\": 10.481864045771506, \"wind\": 10.269367839292642, \"precipitation\": 85.87287289024248, \"condition\": \"rain\"}, {\"temperature\": -9.620152753805623, \"wind\": 64.57630699894213, \"precipitation\": 29.06583641537993, \"condition\": \"drizzle\"}, {\"temperature\": 24.85823346816882, \"wind\": 64.44200648973889, \"precipitation\": 32.79358601401415, \"condition\": \"sun\"}, {\"temperature\": -9.71401231081625, \"wind\": 46.94482107365025, \"precipitation\": 71.95828763550503, \"condition\": \"rain\"}, {\"temperature\": 15.802582568794556, \"wind\": 5.568264782160037, \"precipitation\": 16.50277435360922, \"condition\": \"sun\"}, {\"temperature\": 29.44740698845427, \"wind\": 66.4224540835048, \"precipitation\": 96.91347272575433, \"condition\": \"snow\"}, {\"temperature\": 0.1789559651072139, \"wind\": 37.144396583281235, \"precipitation\": 7.3927878065009445, \"condition\": \"snow\"}, {\"temperature\": 37.90262114384076, \"wind\": 23.744567572534315, \"precipitation\": 85.44013318397162, \"condition\": \"fog\"}, {\"temperature\": 40.40503203411964, \"wind\": 71.68155336881077, \"precipitation\": 91.260802513042, \"condition\": \"snow\"}, {\"temperature\": 2.723433474361908, \"wind\": 5.85694236985378, \"precipitation\": 54.0295184169758, \"condition\": \"drizzle\"}, {\"temperature\": 9.452609321039336, \"wind\": 52.7843932253772, \"precipitation\": 90.04450333194686, \"condition\": \"fog\"}, {\"temperature\": 18.909153974667404, \"wind\": 13.725377509230263, \"precipitation\": 34.56974350594094, \"condition\": \"sun\"}]}}, {\"mode\": \"vega-lite\"});\n",
-       "</script>"
-      ],
-      "text/plain": [
-       "alt.LayerChart(...)"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "base = alt.Chart(df)\n",
-    "arc = base.mark_arc(stroke=\"#ffffff\").encode(\n",
-    "    theta=alt.Theta(field=\"condition\", type=\"nominal\"),\n",
-    "    radius=alt.Radius(field=\"temperature\", type=\"quantitative\", aggregate=\"mean\"),\n",
-    ")\n",
-    "text = base.mark_text(radiusOffset=15).encode(\n",
-    "    theta=alt.Theta(field=\"condition\", type=\"nominal\"),\n",
-    "    radius=alt.Radius(field=\"temperature\", type=\"quantitative\", aggregate=\"mean\"),\n",
-    "    text=alt.Text(field=\"condition\", type=\"nominal\"),\n",
-    ")\n",
-    "display_chart(arc + text)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### Histogram"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 14,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "{'field': [{'name': 'condition', 'type': 'string'}],\n",
-      " 'number_rows': 100,\n",
-      " 'view': [{'mark': [{'encoding': [{'channel': 'x', 'field': 'condition'},\n",
-      "                                  {'aggregate': 'count', 'channel': 'y'}],\n",
-      "                     'type': 'bar'}],\n",
-      "           'scale': [{'channel': 'x', 'type': 'ordinal'},\n",
-      "                     {'channel': 'y', 'type': 'linear', 'zero': 'true'}]}]}\n"
-     ]
-    }
-   ],
-   "source": [
-    "facts = [\n",
-    "    \"attribute(number_rows,root,100).\",\n",
-    "    \"entity(field,root,condition).\",\n",
-    "    \"attribute((field,name),condition,condition).\",\n",
-    "    \"attribute((field,type),condition,string).\",\n",
-    "    \"entity(view,root,0).\",\n",
-    "    \"entity(mark,0,1).\",\n",
-    "    \"attribute((mark,type),1,bar).\",\n",
-    "    \"entity(encoding,1,2).\",\n",
-    "    \"attribute((encoding,channel),2,x).\",\n",
-    "    \"attribute((encoding,field),2,condition).\",\n",
-    "    \"entity(encoding,1,3).\",\n",
-    "    \"attribute((encoding,channel),3,y).\",\n",
-    "    \"attribute((encoding,aggregate),3,count).\",\n",
-    "    \"entity(scale,0,4).\",\n",
-    "    \"attribute((scale,channel),4,x).\",\n",
-    "    \"attribute((scale,type),4,ordinal).\",\n",
-    "    \"entity(scale,0,5).\",\n",
-    "    \"attribute((scale,channel),5,y).\",\n",
-    "    \"attribute((scale,type),5,linear).\",\n",
-    "    \"attribute((scale,zero),5,true).\",\n",
-    "]\n",
-    "spec = facts_to_dict(facts)\n",
-    "pprint(spec)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 15,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "{'$schema': 'https://vega.github.io/schema/vega-lite/v4.17.0.json',\n",
-      " 'config': {'view': {'continuousHeight': 300, 'continuousWidth': 400}},\n",
-      " 'encoding': {'x': {'field': 'condition',\n",
-      "                    'scale': {'type': 'ordinal'},\n",
-      "                    'type': 'nominal'},\n",
-      "              'y': {'aggregate': 'count',\n",
-      "                    'field': 'condition',\n",
-      "                    'scale': {'type': 'linear', 'zero': True},\n",
-      "                    'type': 'nominal'}},\n",
-      " 'mark': 'bar'}\n"
-     ]
-    },
-    {
-     "data": {
-      "text/html": [
-       "\n",
-       "<div id=\"altair-viz-2d84e9fbf07d4dff819e0d162ad29bfc\"></div>\n",
-       "<script type=\"text/javascript\">\n",
-       "  var VEGA_DEBUG = (typeof VEGA_DEBUG == \"undefined\") ? {} : VEGA_DEBUG;\n",
-       "  (function(spec, embedOpt){\n",
-       "    let outputDiv = document.currentScript.previousElementSibling;\n",
-       "    if (outputDiv.id !== \"altair-viz-2d84e9fbf07d4dff819e0d162ad29bfc\") {\n",
-       "      outputDiv = document.getElementById(\"altair-viz-2d84e9fbf07d4dff819e0d162ad29bfc\");\n",
-       "    }\n",
-       "    const paths = {\n",
-       "      \"vega\": \"https://cdn.jsdelivr.net/npm//vega@5?noext\",\n",
-       "      \"vega-lib\": \"https://cdn.jsdelivr.net/npm//vega-lib?noext\",\n",
-       "      \"vega-lite\": \"https://cdn.jsdelivr.net/npm//vega-lite@4.17.0?noext\",\n",
-       "      \"vega-embed\": \"https://cdn.jsdelivr.net/npm//vega-embed@6?noext\",\n",
-       "    };\n",
-       "\n",
-       "    function maybeLoadScript(lib, version) {\n",
-       "      var key = `${lib.replace(\"-\", \"\")}_version`;\n",
-       "      return (VEGA_DEBUG[key] == version) ?\n",
-       "        Promise.resolve(paths[lib]) :\n",
-       "        new Promise(function(resolve, reject) {\n",
-       "          var s = document.createElement('script');\n",
-       "          document.getElementsByTagName(\"head\")[0].appendChild(s);\n",
-       "          s.async = true;\n",
-       "          s.onload = () => {\n",
-       "            VEGA_DEBUG[key] = version;\n",
-       "            return resolve(paths[lib]);\n",
-       "          };\n",
-       "          s.onerror = () => reject(`Error loading script: ${paths[lib]}`);\n",
-       "          s.src = paths[lib];\n",
-       "        });\n",
-       "    }\n",
-       "\n",
-       "    function showError(err) {\n",
-       "      outputDiv.innerHTML = `<div class=\"error\" style=\"color:red;\">${err}</div>`;\n",
-       "      throw err;\n",
-       "    }\n",
-       "\n",
-       "    function displayChart(vegaEmbed) {\n",
-       "      vegaEmbed(outputDiv, spec, embedOpt)\n",
-       "        .catch(err => showError(`Javascript Error: ${err.message}<br>This usually means there's a typo in your chart specification. See the javascript console for the full traceback.`));\n",
-       "    }\n",
-       "\n",
-       "    if(typeof define === \"function\" && define.amd) {\n",
-       "      requirejs.config({paths});\n",
-       "      require([\"vega-embed\"], displayChart, err => showError(`Error loading script: ${err.message}`));\n",
-       "    } else {\n",
-       "      maybeLoadScript(\"vega\", \"5\")\n",
-       "        .then(() => maybeLoadScript(\"vega-lite\", \"4.17.0\"))\n",
-       "        .then(() => maybeLoadScript(\"vega-embed\", \"6\"))\n",
-       "        .catch(showError)\n",
-       "        .then(() => displayChart(vegaEmbed));\n",
-       "    }\n",
-       "  })({\"config\": {\"view\": {\"continuousWidth\": 400, \"continuousHeight\": 300}}, \"data\": {\"name\": \"data-124c435c1b687eb7890344117a1c86b4\"}, \"mark\": \"bar\", \"encoding\": {\"x\": {\"field\": \"condition\", \"scale\": {\"type\": \"ordinal\"}, \"type\": \"nominal\"}, \"y\": {\"aggregate\": \"count\", \"field\": \"condition\", \"scale\": {\"type\": \"linear\", \"zero\": true}, \"type\": \"nominal\"}}, \"$schema\": \"https://vega.github.io/schema/vega-lite/v4.17.0.json\", \"datasets\": {\"data-124c435c1b687eb7890344117a1c86b4\": [{\"temperature\": 17.89365303788651, \"wind\": 78.75685633883592, \"precipitation\": 41.61124606702779, \"condition\": \"rain\"}, {\"temperature\": 5.622818441769336, \"wind\": 25.421998841055917, \"precipitation\": 74.90555083684964, \"condition\": \"rain\"}, {\"temperature\": 23.3902094090436, \"wind\": 9.846103163487696, \"precipitation\": 81.33536438710783, \"condition\": \"rain\"}, {\"temperature\": 20.889554427248395, \"wind\": 27.53521295661492, \"precipitation\": 27.6549324712597, \"condition\": \"drizzle\"}, {\"temperature\": 33.91026207788065, \"wind\": 97.91032820138525, \"precipitation\": 36.53494267552425, \"condition\": \"snow\"}, {\"temperature\": 39.65611406756084, \"wind\": 24.27383951799732, \"precipitation\": 33.38647147375286, \"condition\": \"rain\"}, {\"temperature\": 5.670659801967243, \"wind\": 98.20197823012846, \"precipitation\": 93.72832557739356, \"condition\": \"snow\"}, {\"temperature\": -2.2776070811204505, \"wind\": 77.90443786588797, \"precipitation\": 50.102310147035375, \"condition\": \"drizzle\"}, {\"temperature\": 43.104548648992775, \"wind\": 74.77698982401796, \"precipitation\": 89.95647852559429, \"condition\": \"sun\"}, {\"temperature\": 1.8049661385207525, \"wind\": 91.29152261118769, \"precipitation\": 29.77145087552332, \"condition\": \"fog\"}, {\"temperature\": 14.327115187571408, \"wind\": 45.054261048821296, \"precipitation\": 17.654846400296798, \"condition\": \"drizzle\"}, {\"temperature\": 25.44797791508993, \"wind\": 22.265267642454656, \"precipitation\": 60.37929677885421, \"condition\": \"drizzle\"}, {\"temperature\": 11.19016835531465, \"wind\": 77.30294308487814, \"precipitation\": 71.65443847888368, \"condition\": \"snow\"}, {\"temperature\": 22.948827407585433, \"wind\": 27.03785915458824, \"precipitation\": 92.68901140573688, \"condition\": \"snow\"}, {\"temperature\": 33.16555388154543, \"wind\": 92.1292103045794, \"precipitation\": 39.10838647644195, \"condition\": \"snow\"}, {\"temperature\": 9.981393546660723, \"wind\": 66.73004528306666, \"precipitation\": 19.36957583451713, \"condition\": \"drizzle\"}, {\"temperature\": 2.837559858993796, \"wind\": 18.62443662393004, \"precipitation\": 57.42273968155751, \"condition\": \"sun\"}, {\"temperature\": 39.14290590745285, \"wind\": 32.52859013259527, \"precipitation\": 88.21897530715309, \"condition\": \"rain\"}, {\"temperature\": 39.2325438266719, \"wind\": 2.511353474345024, \"precipitation\": 78.95158173752907, \"condition\": \"fog\"}, {\"temperature\": 2.949456835649645, \"wind\": 1.9370157264502197, \"precipitation\": 3.5337114891518584, \"condition\": \"fog\"}, {\"temperature\": 28.422917308067277, \"wind\": 6.822434636914776, \"precipitation\": 84.5655158038795, \"condition\": \"fog\"}, {\"temperature\": 28.406344711783838, \"wind\": 95.25216996998444, \"precipitation\": 2.312429289727791, \"condition\": \"fog\"}, {\"temperature\": 23.929825809705775, \"wind\": 28.441727967722407, \"precipitation\": 94.94371547195382, \"condition\": \"drizzle\"}, {\"temperature\": 25.144603850494207, \"wind\": 5.7248518372133965, \"precipitation\": 72.55961327284773, \"condition\": \"drizzle\"}, {\"temperature\": -3.1069016270510676, \"wind\": 90.56068308052812, \"precipitation\": 8.208347981870512, \"condition\": \"rain\"}, {\"temperature\": 43.07443333444708, \"wind\": 63.33777651825151, \"precipitation\": 35.343598004733714, \"condition\": \"sun\"}, {\"temperature\": -8.715631484900875, \"wind\": 78.50049089036061, \"precipitation\": 16.726772866900042, \"condition\": \"fog\"}, {\"temperature\": 10.058625587365142, \"wind\": 82.55410159133031, \"precipitation\": 49.82193593499935, \"condition\": \"fog\"}, {\"temperature\": 27.912341883718938, \"wind\": 45.94389098129158, \"precipitation\": 87.71806691348185, \"condition\": \"sun\"}, {\"temperature\": 28.827008981675903, \"wind\": 14.352645600160752, \"precipitation\": 95.30777240838884, \"condition\": \"sun\"}, {\"temperature\": -5.245472855196331, \"wind\": 24.463633090927274, \"precipitation\": 63.1630488725617, \"condition\": \"fog\"}, {\"temperature\": -4.738627417736829, \"wind\": 87.61779675788263, \"precipitation\": 67.17488470646667, \"condition\": \"fog\"}, {\"temperature\": -1.6463371096382655, \"wind\": 34.15953757649686, \"precipitation\": 83.20021064524306, \"condition\": \"rain\"}, {\"temperature\": -8.671469939339552, \"wind\": 28.02148157701091, \"precipitation\": 8.858286414027772, \"condition\": \"snow\"}, {\"temperature\": 23.586980668182306, \"wind\": 32.61177727202879, \"precipitation\": 90.55384722692395, \"condition\": \"snow\"}, {\"temperature\": 42.93552301196303, \"wind\": 17.459007963452034, \"precipitation\": 76.26693620563219, \"condition\": \"sun\"}, {\"temperature\": 14.04271616398174, \"wind\": 31.44611970670743, \"precipitation\": 27.736449442339893, \"condition\": \"rain\"}, {\"temperature\": 33.93136729382773, \"wind\": 85.0980112392488, \"precipitation\": 48.72266227519502, \"condition\": \"fog\"}, {\"temperature\": 29.10713627050935, \"wind\": 25.401508775422734, \"precipitation\": 83.25120184383715, \"condition\": \"fog\"}, {\"temperature\": 23.33130010979005, \"wind\": 38.960479467358745, \"precipitation\": 84.8094568801428, \"condition\": \"rain\"}, {\"temperature\": 27.820447049966695, \"wind\": 97.47611794506456, \"precipitation\": 59.404606053602336, \"condition\": \"fog\"}, {\"temperature\": 24.704809156505995, \"wind\": 56.929461372432655, \"precipitation\": 16.583726619344496, \"condition\": \"drizzle\"}, {\"temperature\": 42.73839675123029, \"wind\": 19.024929246369528, \"precipitation\": 37.515692671204135, \"condition\": \"sun\"}, {\"temperature\": 39.73480992464111, \"wind\": 63.10268501376382, \"precipitation\": 15.20512544845365, \"condition\": \"fog\"}, {\"temperature\": 34.928857478491054, \"wind\": 44.34437827092474, \"precipitation\": 2.9919970218495684, \"condition\": \"sun\"}, {\"temperature\": 12.475457440238529, \"wind\": 45.63508245761745, \"precipitation\": 1.5684442569828705, \"condition\": \"fog\"}, {\"temperature\": 11.485742656702111, \"wind\": 35.43011450755876, \"precipitation\": 46.843314320146966, \"condition\": \"fog\"}, {\"temperature\": 16.58332024159822, \"wind\": 85.9387003246595, \"precipitation\": 67.67417859666371, \"condition\": \"sun\"}, {\"temperature\": 42.96961504747511, \"wind\": 61.02100908610409, \"precipitation\": 40.19537213295094, \"condition\": \"snow\"}, {\"temperature\": 43.01306682260888, \"wind\": 91.58796490357004, \"precipitation\": 10.242970289225461, \"condition\": \"sun\"}, {\"temperature\": 17.888206090116245, \"wind\": 29.82373325722851, \"precipitation\": 44.29455934969246, \"condition\": \"sun\"}, {\"temperature\": 13.700882757230424, \"wind\": 46.93705512034313, \"precipitation\": 76.07676796446637, \"condition\": \"rain\"}, {\"temperature\": 4.986331720563626, \"wind\": 81.90760931416689, \"precipitation\": 34.892239668746406, \"condition\": \"drizzle\"}, {\"temperature\": -1.4778346288931683, \"wind\": 3.9791854357363987, \"precipitation\": 7.535152538482148, \"condition\": \"drizzle\"}, {\"temperature\": 16.892161248783623, \"wind\": 31.993361074291926, \"precipitation\": 60.46401934620111, \"condition\": \"drizzle\"}, {\"temperature\": -7.17506030059671, \"wind\": 5.042336185555952, \"precipitation\": 88.35922403405787, \"condition\": \"drizzle\"}, {\"temperature\": 9.85908134441586, \"wind\": 48.491362316119236, \"precipitation\": 23.80248472573617, \"condition\": \"snow\"}, {\"temperature\": 28.54368725395195, \"wind\": 5.72748587709313, \"precipitation\": 25.974359374267742, \"condition\": \"drizzle\"}, {\"temperature\": 41.85044222939622, \"wind\": 3.311333417116047, \"precipitation\": 1.7918023488591839, \"condition\": \"snow\"}, {\"temperature\": 39.51847585775124, \"wind\": 89.64939452111453, \"precipitation\": 48.53950512768904, \"condition\": \"fog\"}, {\"temperature\": 4.1511791382858725, \"wind\": 58.14172937556887, \"precipitation\": 79.66452798481971, \"condition\": \"drizzle\"}, {\"temperature\": 7.316849144326355, \"wind\": 6.796864846855866, \"precipitation\": 33.619090549629306, \"condition\": \"snow\"}, {\"temperature\": -6.040726652488083, \"wind\": 24.37214720554359, \"precipitation\": 71.46568853073089, \"condition\": \"rain\"}, {\"temperature\": 28.05026452008928, \"wind\": 19.39989397387041, \"precipitation\": 71.68725771245654, \"condition\": \"drizzle\"}, {\"temperature\": 35.30623993317926, \"wind\": 66.54091843981752, \"precipitation\": 22.884049790672588, \"condition\": \"rain\"}, {\"temperature\": -9.078168118751755, \"wind\": 54.53321547753263, \"precipitation\": 66.43449936744369, \"condition\": \"sun\"}, {\"temperature\": 34.31111609068961, \"wind\": 92.79899053872957, \"precipitation\": 61.9431928594434, \"condition\": \"sun\"}, {\"temperature\": -0.5340863902706268, \"wind\": 89.18484464889846, \"precipitation\": 88.49655552922172, \"condition\": \"rain\"}, {\"temperature\": -7.331283732097262, \"wind\": 16.43300088620039, \"precipitation\": 92.15523633598885, \"condition\": \"drizzle\"}, {\"temperature\": 34.4512940591614, \"wind\": 16.982566694713043, \"precipitation\": 66.50391898652623, \"condition\": \"fog\"}, {\"temperature\": 2.292195972387347, \"wind\": 78.07758659490037, \"precipitation\": 85.08941323813521, \"condition\": \"snow\"}, {\"temperature\": 10.280188069701488, \"wind\": 64.37598506985243, \"precipitation\": 46.13428294966927, \"condition\": \"sun\"}, {\"temperature\": 14.385637791164196, \"wind\": 27.710246014732775, \"precipitation\": 82.18132103083111, \"condition\": \"rain\"}, {\"temperature\": 15.068929930658907, \"wind\": 90.37313777532859, \"precipitation\": 95.42688091272505, \"condition\": \"rain\"}, {\"temperature\": -5.931704200276687, \"wind\": 76.30697305192514, \"precipitation\": 48.17926018036856, \"condition\": \"drizzle\"}, {\"temperature\": -1.2238906425326128, \"wind\": 77.25655113115953, \"precipitation\": 12.189057445370022, \"condition\": \"sun\"}, {\"temperature\": 17.981273164150583, \"wind\": 99.8855194023956, \"precipitation\": 5.951490853046981, \"condition\": \"drizzle\"}, {\"temperature\": 8.333054222089164, \"wind\": 22.351144710727677, \"precipitation\": 1.9907985646430038, \"condition\": \"rain\"}, {\"temperature\": 40.99117292213711, \"wind\": 12.537186007473021, \"precipitation\": 3.0957134444521195, \"condition\": \"drizzle\"}, {\"temperature\": 36.29560583814439, \"wind\": 47.282861379528676, \"precipitation\": 50.72175472263106, \"condition\": \"fog\"}, {\"temperature\": 8.011942225789358, \"wind\": 80.64679426688298, \"precipitation\": 84.74031260132877, \"condition\": \"sun\"}, {\"temperature\": 32.64189921238727, \"wind\": 78.38867921926278, \"precipitation\": 94.27015659699374, \"condition\": \"fog\"}, {\"temperature\": -4.159829210634211, \"wind\": 53.39060475873939, \"precipitation\": 50.60795287404672, \"condition\": \"fog\"}, {\"temperature\": -6.602296737522483, \"wind\": 86.55899134629715, \"precipitation\": 62.64697378600636, \"condition\": \"fog\"}, {\"temperature\": 40.135239145180655, \"wind\": 16.633704419495032, \"precipitation\": 41.391087682479736, \"condition\": \"drizzle\"}, {\"temperature\": 26.95881305440288, \"wind\": 85.8809786017975, \"precipitation\": 71.9617762842435, \"condition\": \"drizzle\"}, {\"temperature\": 11.92991543604046, \"wind\": 76.39140196294017, \"precipitation\": 60.40612399492309, \"condition\": \"drizzle\"}, {\"temperature\": 19.566301202766702, \"wind\": 72.97802286558691, \"precipitation\": 29.681848692175006, \"condition\": \"drizzle\"}, {\"temperature\": 10.481864045771506, \"wind\": 10.269367839292642, \"precipitation\": 85.87287289024248, \"condition\": \"rain\"}, {\"temperature\": -9.620152753805623, \"wind\": 64.57630699894213, \"precipitation\": 29.06583641537993, \"condition\": \"drizzle\"}, {\"temperature\": 24.85823346816882, \"wind\": 64.44200648973889, \"precipitation\": 32.79358601401415, \"condition\": \"sun\"}, {\"temperature\": -9.71401231081625, \"wind\": 46.94482107365025, \"precipitation\": 71.95828763550503, \"condition\": \"rain\"}, {\"temperature\": 15.802582568794556, \"wind\": 5.568264782160037, \"precipitation\": 16.50277435360922, \"condition\": \"sun\"}, {\"temperature\": 29.44740698845427, \"wind\": 66.4224540835048, \"precipitation\": 96.91347272575433, \"condition\": \"snow\"}, {\"temperature\": 0.1789559651072139, \"wind\": 37.144396583281235, \"precipitation\": 7.3927878065009445, \"condition\": \"snow\"}, {\"temperature\": 37.90262114384076, \"wind\": 23.744567572534315, \"precipitation\": 85.44013318397162, \"condition\": \"fog\"}, {\"temperature\": 40.40503203411964, \"wind\": 71.68155336881077, \"precipitation\": 91.260802513042, \"condition\": \"snow\"}, {\"temperature\": 2.723433474361908, \"wind\": 5.85694236985378, \"precipitation\": 54.0295184169758, \"condition\": \"drizzle\"}, {\"temperature\": 9.452609321039336, \"wind\": 52.7843932253772, \"precipitation\": 90.04450333194686, \"condition\": \"fog\"}, {\"temperature\": 18.909153974667404, \"wind\": 13.725377509230263, \"precipitation\": 34.56974350594094, \"condition\": \"sun\"}]}}, {\"mode\": \"vega-lite\"});\n",
-       "</script>"
-      ],
-      "text/plain": [
-       "alt.Chart(...)"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "base = alt.Chart(df)\n",
-    "bar = base.mark_bar().encode(\n",
-    "    x=alt.X(field=\"condition\", type=\"nominal\", scale=alt.Scale(type=\"ordinal\")),\n",
-    "    y=alt.Y(\n",
-    "        field=\"condition\",\n",
-    "        type=\"nominal\",\n",
-    "        aggregate=\"count\",\n",
-    "        scale=alt.Scale(type=\"linear\", zero=True),\n",
-    "    ),\n",
-    ")\n",
-    "display_chart(bar)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### Binned Histrogram"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 16,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "{'field': [{'name': 'temperature', 'type': 'number'}],\n",
-      " 'number_rows': 100,\n",
-      " 'view': [{'mark': [{'encoding': [{'binning': 10,\n",
-      "                                   'channel': 'x',\n",
-      "                                   'field': 'temperature'},\n",
-      "                                  {'aggregate': 'count', 'channel': 'y'}],\n",
-      "                     'type': 'bar'}],\n",
-      "           'scale': [{'channel': 'x', 'type': 'linear'},\n",
-      "                     {'channel': 'y', 'type': 'linear', 'zero': 'true'}]}]}\n"
-     ]
-    }
-   ],
-   "source": [
-    "facts = [\n",
-    "    \"attribute(number_rows,root,100).\",\n",
-    "    \"entity(field,root,temperature).\",\n",
-    "    \"attribute((field,name),temperature,temperature).\",\n",
-    "    \"attribute((field,type),temperature,number).\",\n",
-    "    \"entity(view,root,0).\",\n",
-    "    \"entity(mark,0,1).\",\n",
-    "    \"attribute((mark,type),1,bar).\",\n",
-    "    \"entity(encoding,1,2).\",\n",
-    "    \"attribute((encoding,channel),2,x).\",\n",
-    "    \"attribute((encoding,field),2,temperature).\",\n",
-    "    \"attribute((encoding,binning),2,10).\",\n",
-    "    \"entity(encoding,1,3).\",\n",
-    "    \"attribute((encoding,channel),3,y).\",\n",
-    "    \"attribute((encoding,aggregate),3,count).\",\n",
-    "    \"entity(scale,0,4).\",\n",
-    "    \"attribute((scale,channel),4,x).\",\n",
-    "    \"attribute((scale,type),4,linear).\",\n",
-    "    \"entity(scale,0,5).\",\n",
-    "    \"attribute((scale,channel),5,y).\",\n",
-    "    \"attribute((scale,type),5,linear).\",\n",
-    "    \"attribute((scale,zero),5,true).\",\n",
-    "]\n",
-    "spec = facts_to_dict(facts)\n",
-    "pprint(spec)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 17,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "{'$schema': 'https://vega.github.io/schema/vega-lite/v4.17.0.json',\n",
-      " 'config': {'view': {'continuousHeight': 300, 'continuousWidth': 400}},\n",
-      " 'encoding': {'x': {'bin': {'maxbins': 10},\n",
-      "                    'field': 'temperature',\n",
-      "                    'scale': {'type': 'linear'},\n",
-      "                    'type': 'quantitative'},\n",
-      "              'y': {'aggregate': 'count',\n",
-      "                    'field': 'temperature',\n",
-      "                    'scale': {'type': 'linear', 'zero': True},\n",
-      "                    'type': 'quantitative'}},\n",
-      " 'mark': 'bar'}\n"
-     ]
-    },
-    {
-     "data": {
-      "text/html": [
-       "\n",
-       "<div id=\"altair-viz-40955606031d44dcad549867a58bdc9f\"></div>\n",
-       "<script type=\"text/javascript\">\n",
-       "  var VEGA_DEBUG = (typeof VEGA_DEBUG == \"undefined\") ? {} : VEGA_DEBUG;\n",
-       "  (function(spec, embedOpt){\n",
-       "    let outputDiv = document.currentScript.previousElementSibling;\n",
-       "    if (outputDiv.id !== \"altair-viz-40955606031d44dcad549867a58bdc9f\") {\n",
-       "      outputDiv = document.getElementById(\"altair-viz-40955606031d44dcad549867a58bdc9f\");\n",
-       "    }\n",
-       "    const paths = {\n",
-       "      \"vega\": \"https://cdn.jsdelivr.net/npm//vega@5?noext\",\n",
-       "      \"vega-lib\": \"https://cdn.jsdelivr.net/npm//vega-lib?noext\",\n",
-       "      \"vega-lite\": \"https://cdn.jsdelivr.net/npm//vega-lite@4.17.0?noext\",\n",
-       "      \"vega-embed\": \"https://cdn.jsdelivr.net/npm//vega-embed@6?noext\",\n",
-       "    };\n",
-       "\n",
-       "    function maybeLoadScript(lib, version) {\n",
-       "      var key = `${lib.replace(\"-\", \"\")}_version`;\n",
-       "      return (VEGA_DEBUG[key] == version) ?\n",
-       "        Promise.resolve(paths[lib]) :\n",
-       "        new Promise(function(resolve, reject) {\n",
-       "          var s = document.createElement('script');\n",
-       "          document.getElementsByTagName(\"head\")[0].appendChild(s);\n",
-       "          s.async = true;\n",
-       "          s.onload = () => {\n",
-       "            VEGA_DEBUG[key] = version;\n",
-       "            return resolve(paths[lib]);\n",
-       "          };\n",
-       "          s.onerror = () => reject(`Error loading script: ${paths[lib]}`);\n",
-       "          s.src = paths[lib];\n",
-       "        });\n",
-       "    }\n",
-       "\n",
-       "    function showError(err) {\n",
-       "      outputDiv.innerHTML = `<div class=\"error\" style=\"color:red;\">${err}</div>`;\n",
-       "      throw err;\n",
-       "    }\n",
-       "\n",
-       "    function displayChart(vegaEmbed) {\n",
-       "      vegaEmbed(outputDiv, spec, embedOpt)\n",
-       "        .catch(err => showError(`Javascript Error: ${err.message}<br>This usually means there's a typo in your chart specification. See the javascript console for the full traceback.`));\n",
-       "    }\n",
-       "\n",
-       "    if(typeof define === \"function\" && define.amd) {\n",
-       "      requirejs.config({paths});\n",
-       "      require([\"vega-embed\"], displayChart, err => showError(`Error loading script: ${err.message}`));\n",
-       "    } else {\n",
-       "      maybeLoadScript(\"vega\", \"5\")\n",
-       "        .then(() => maybeLoadScript(\"vega-lite\", \"4.17.0\"))\n",
-       "        .then(() => maybeLoadScript(\"vega-embed\", \"6\"))\n",
-       "        .catch(showError)\n",
-       "        .then(() => displayChart(vegaEmbed));\n",
-       "    }\n",
-       "  })({\"config\": {\"view\": {\"continuousWidth\": 400, \"continuousHeight\": 300}}, \"data\": {\"name\": \"data-124c435c1b687eb7890344117a1c86b4\"}, \"mark\": \"bar\", \"encoding\": {\"x\": {\"bin\": {\"maxbins\": 10}, \"field\": \"temperature\", \"scale\": {\"type\": \"linear\"}, \"type\": \"quantitative\"}, \"y\": {\"aggregate\": \"count\", \"field\": \"temperature\", \"scale\": {\"type\": \"linear\", \"zero\": true}, \"type\": \"quantitative\"}}, \"$schema\": \"https://vega.github.io/schema/vega-lite/v4.17.0.json\", \"datasets\": {\"data-124c435c1b687eb7890344117a1c86b4\": [{\"temperature\": 17.89365303788651, \"wind\": 78.75685633883592, \"precipitation\": 41.61124606702779, \"condition\": \"rain\"}, {\"temperature\": 5.622818441769336, \"wind\": 25.421998841055917, \"precipitation\": 74.90555083684964, \"condition\": \"rain\"}, {\"temperature\": 23.3902094090436, \"wind\": 9.846103163487696, \"precipitation\": 81.33536438710783, \"condition\": \"rain\"}, {\"temperature\": 20.889554427248395, \"wind\": 27.53521295661492, \"precipitation\": 27.6549324712597, \"condition\": \"drizzle\"}, {\"temperature\": 33.91026207788065, \"wind\": 97.91032820138525, \"precipitation\": 36.53494267552425, \"condition\": \"snow\"}, {\"temperature\": 39.65611406756084, \"wind\": 24.27383951799732, \"precipitation\": 33.38647147375286, \"condition\": \"rain\"}, {\"temperature\": 5.670659801967243, \"wind\": 98.20197823012846, \"precipitation\": 93.72832557739356, \"condition\": \"snow\"}, {\"temperature\": -2.2776070811204505, \"wind\": 77.90443786588797, \"precipitation\": 50.102310147035375, \"condition\": \"drizzle\"}, {\"temperature\": 43.104548648992775, \"wind\": 74.77698982401796, \"precipitation\": 89.95647852559429, \"condition\": \"sun\"}, {\"temperature\": 1.8049661385207525, \"wind\": 91.29152261118769, \"precipitation\": 29.77145087552332, \"condition\": \"fog\"}, {\"temperature\": 14.327115187571408, \"wind\": 45.054261048821296, \"precipitation\": 17.654846400296798, \"condition\": \"drizzle\"}, {\"temperature\": 25.44797791508993, \"wind\": 22.265267642454656, \"precipitation\": 60.37929677885421, \"condition\": \"drizzle\"}, {\"temperature\": 11.19016835531465, \"wind\": 77.30294308487814, \"precipitation\": 71.65443847888368, \"condition\": \"snow\"}, {\"temperature\": 22.948827407585433, \"wind\": 27.03785915458824, \"precipitation\": 92.68901140573688, \"condition\": \"snow\"}, {\"temperature\": 33.16555388154543, \"wind\": 92.1292103045794, \"precipitation\": 39.10838647644195, \"condition\": \"snow\"}, {\"temperature\": 9.981393546660723, \"wind\": 66.73004528306666, \"precipitation\": 19.36957583451713, \"condition\": \"drizzle\"}, {\"temperature\": 2.837559858993796, \"wind\": 18.62443662393004, \"precipitation\": 57.42273968155751, \"condition\": \"sun\"}, {\"temperature\": 39.14290590745285, \"wind\": 32.52859013259527, \"precipitation\": 88.21897530715309, \"condition\": \"rain\"}, {\"temperature\": 39.2325438266719, \"wind\": 2.511353474345024, \"precipitation\": 78.95158173752907, \"condition\": \"fog\"}, {\"temperature\": 2.949456835649645, \"wind\": 1.9370157264502197, \"precipitation\": 3.5337114891518584, \"condition\": \"fog\"}, {\"temperature\": 28.422917308067277, \"wind\": 6.822434636914776, \"precipitation\": 84.5655158038795, \"condition\": \"fog\"}, {\"temperature\": 28.406344711783838, \"wind\": 95.25216996998444, \"precipitation\": 2.312429289727791, \"condition\": \"fog\"}, {\"temperature\": 23.929825809705775, \"wind\": 28.441727967722407, \"precipitation\": 94.94371547195382, \"condition\": \"drizzle\"}, {\"temperature\": 25.144603850494207, \"wind\": 5.7248518372133965, \"precipitation\": 72.55961327284773, \"condition\": \"drizzle\"}, {\"temperature\": -3.1069016270510676, \"wind\": 90.56068308052812, \"precipitation\": 8.208347981870512, \"condition\": \"rain\"}, {\"temperature\": 43.07443333444708, \"wind\": 63.33777651825151, \"precipitation\": 35.343598004733714, \"condition\": \"sun\"}, {\"temperature\": -8.715631484900875, \"wind\": 78.50049089036061, \"precipitation\": 16.726772866900042, \"condition\": \"fog\"}, {\"temperature\": 10.058625587365142, \"wind\": 82.55410159133031, \"precipitation\": 49.82193593499935, \"condition\": \"fog\"}, {\"temperature\": 27.912341883718938, \"wind\": 45.94389098129158, \"precipitation\": 87.71806691348185, \"condition\": \"sun\"}, {\"temperature\": 28.827008981675903, \"wind\": 14.352645600160752, \"precipitation\": 95.30777240838884, \"condition\": \"sun\"}, {\"temperature\": -5.245472855196331, \"wind\": 24.463633090927274, \"precipitation\": 63.1630488725617, \"condition\": \"fog\"}, {\"temperature\": -4.738627417736829, \"wind\": 87.61779675788263, \"precipitation\": 67.17488470646667, \"condition\": \"fog\"}, {\"temperature\": -1.6463371096382655, \"wind\": 34.15953757649686, \"precipitation\": 83.20021064524306, \"condition\": \"rain\"}, {\"temperature\": -8.671469939339552, \"wind\": 28.02148157701091, \"precipitation\": 8.858286414027772, \"condition\": \"snow\"}, {\"temperature\": 23.586980668182306, \"wind\": 32.61177727202879, \"precipitation\": 90.55384722692395, \"condition\": \"snow\"}, {\"temperature\": 42.93552301196303, \"wind\": 17.459007963452034, \"precipitation\": 76.26693620563219, \"condition\": \"sun\"}, {\"temperature\": 14.04271616398174, \"wind\": 31.44611970670743, \"precipitation\": 27.736449442339893, \"condition\": \"rain\"}, {\"temperature\": 33.93136729382773, \"wind\": 85.0980112392488, \"precipitation\": 48.72266227519502, \"condition\": \"fog\"}, {\"temperature\": 29.10713627050935, \"wind\": 25.401508775422734, \"precipitation\": 83.25120184383715, \"condition\": \"fog\"}, {\"temperature\": 23.33130010979005, \"wind\": 38.960479467358745, \"precipitation\": 84.8094568801428, \"condition\": \"rain\"}, {\"temperature\": 27.820447049966695, \"wind\": 97.47611794506456, \"precipitation\": 59.404606053602336, \"condition\": \"fog\"}, {\"temperature\": 24.704809156505995, \"wind\": 56.929461372432655, \"precipitation\": 16.583726619344496, \"condition\": \"drizzle\"}, {\"temperature\": 42.73839675123029, \"wind\": 19.024929246369528, \"precipitation\": 37.515692671204135, \"condition\": \"sun\"}, {\"temperature\": 39.73480992464111, \"wind\": 63.10268501376382, \"precipitation\": 15.20512544845365, \"condition\": \"fog\"}, {\"temperature\": 34.928857478491054, \"wind\": 44.34437827092474, \"precipitation\": 2.9919970218495684, \"condition\": \"sun\"}, {\"temperature\": 12.475457440238529, \"wind\": 45.63508245761745, \"precipitation\": 1.5684442569828705, \"condition\": \"fog\"}, {\"temperature\": 11.485742656702111, \"wind\": 35.43011450755876, \"precipitation\": 46.843314320146966, \"condition\": \"fog\"}, {\"temperature\": 16.58332024159822, \"wind\": 85.9387003246595, \"precipitation\": 67.67417859666371, \"condition\": \"sun\"}, {\"temperature\": 42.96961504747511, \"wind\": 61.02100908610409, \"precipitation\": 40.19537213295094, \"condition\": \"snow\"}, {\"temperature\": 43.01306682260888, \"wind\": 91.58796490357004, \"precipitation\": 10.242970289225461, \"condition\": \"sun\"}, {\"temperature\": 17.888206090116245, \"wind\": 29.82373325722851, \"precipitation\": 44.29455934969246, \"condition\": \"sun\"}, {\"temperature\": 13.700882757230424, \"wind\": 46.93705512034313, \"precipitation\": 76.07676796446637, \"condition\": \"rain\"}, {\"temperature\": 4.986331720563626, \"wind\": 81.90760931416689, \"precipitation\": 34.892239668746406, \"condition\": \"drizzle\"}, {\"temperature\": -1.4778346288931683, \"wind\": 3.9791854357363987, \"precipitation\": 7.535152538482148, \"condition\": \"drizzle\"}, {\"temperature\": 16.892161248783623, \"wind\": 31.993361074291926, \"precipitation\": 60.46401934620111, \"condition\": \"drizzle\"}, {\"temperature\": -7.17506030059671, \"wind\": 5.042336185555952, \"precipitation\": 88.35922403405787, \"condition\": \"drizzle\"}, {\"temperature\": 9.85908134441586, \"wind\": 48.491362316119236, \"precipitation\": 23.80248472573617, \"condition\": \"snow\"}, {\"temperature\": 28.54368725395195, \"wind\": 5.72748587709313, \"precipitation\": 25.974359374267742, \"condition\": \"drizzle\"}, {\"temperature\": 41.85044222939622, \"wind\": 3.311333417116047, \"precipitation\": 1.7918023488591839, \"condition\": \"snow\"}, {\"temperature\": 39.51847585775124, \"wind\": 89.64939452111453, \"precipitation\": 48.53950512768904, \"condition\": \"fog\"}, {\"temperature\": 4.1511791382858725, \"wind\": 58.14172937556887, \"precipitation\": 79.66452798481971, \"condition\": \"drizzle\"}, {\"temperature\": 7.316849144326355, \"wind\": 6.796864846855866, \"precipitation\": 33.619090549629306, \"condition\": \"snow\"}, {\"temperature\": -6.040726652488083, \"wind\": 24.37214720554359, \"precipitation\": 71.46568853073089, \"condition\": \"rain\"}, {\"temperature\": 28.05026452008928, \"wind\": 19.39989397387041, \"precipitation\": 71.68725771245654, \"condition\": \"drizzle\"}, {\"temperature\": 35.30623993317926, \"wind\": 66.54091843981752, \"precipitation\": 22.884049790672588, \"condition\": \"rain\"}, {\"temperature\": -9.078168118751755, \"wind\": 54.53321547753263, \"precipitation\": 66.43449936744369, \"condition\": \"sun\"}, {\"temperature\": 34.31111609068961, \"wind\": 92.79899053872957, \"precipitation\": 61.9431928594434, \"condition\": \"sun\"}, {\"temperature\": -0.5340863902706268, \"wind\": 89.18484464889846, \"precipitation\": 88.49655552922172, \"condition\": \"rain\"}, {\"temperature\": -7.331283732097262, \"wind\": 16.43300088620039, \"precipitation\": 92.15523633598885, \"condition\": \"drizzle\"}, {\"temperature\": 34.4512940591614, \"wind\": 16.982566694713043, \"precipitation\": 66.50391898652623, \"condition\": \"fog\"}, {\"temperature\": 2.292195972387347, \"wind\": 78.07758659490037, \"precipitation\": 85.08941323813521, \"condition\": \"snow\"}, {\"temperature\": 10.280188069701488, \"wind\": 64.37598506985243, \"precipitation\": 46.13428294966927, \"condition\": \"sun\"}, {\"temperature\": 14.385637791164196, \"wind\": 27.710246014732775, \"precipitation\": 82.18132103083111, \"condition\": \"rain\"}, {\"temperature\": 15.068929930658907, \"wind\": 90.37313777532859, \"precipitation\": 95.42688091272505, \"condition\": \"rain\"}, {\"temperature\": -5.931704200276687, \"wind\": 76.30697305192514, \"precipitation\": 48.17926018036856, \"condition\": \"drizzle\"}, {\"temperature\": -1.2238906425326128, \"wind\": 77.25655113115953, \"precipitation\": 12.189057445370022, \"condition\": \"sun\"}, {\"temperature\": 17.981273164150583, \"wind\": 99.8855194023956, \"precipitation\": 5.951490853046981, \"condition\": \"drizzle\"}, {\"temperature\": 8.333054222089164, \"wind\": 22.351144710727677, \"precipitation\": 1.9907985646430038, \"condition\": \"rain\"}, {\"temperature\": 40.99117292213711, \"wind\": 12.537186007473021, \"precipitation\": 3.0957134444521195, \"condition\": \"drizzle\"}, {\"temperature\": 36.29560583814439, \"wind\": 47.282861379528676, \"precipitation\": 50.72175472263106, \"condition\": \"fog\"}, {\"temperature\": 8.011942225789358, \"wind\": 80.64679426688298, \"precipitation\": 84.74031260132877, \"condition\": \"sun\"}, {\"temperature\": 32.64189921238727, \"wind\": 78.38867921926278, \"precipitation\": 94.27015659699374, \"condition\": \"fog\"}, {\"temperature\": -4.159829210634211, \"wind\": 53.39060475873939, \"precipitation\": 50.60795287404672, \"condition\": \"fog\"}, {\"temperature\": -6.602296737522483, \"wind\": 86.55899134629715, \"precipitation\": 62.64697378600636, \"condition\": \"fog\"}, {\"temperature\": 40.135239145180655, \"wind\": 16.633704419495032, \"precipitation\": 41.391087682479736, \"condition\": \"drizzle\"}, {\"temperature\": 26.95881305440288, \"wind\": 85.8809786017975, \"precipitation\": 71.9617762842435, \"condition\": \"drizzle\"}, {\"temperature\": 11.92991543604046, \"wind\": 76.39140196294017, \"precipitation\": 60.40612399492309, \"condition\": \"drizzle\"}, {\"temperature\": 19.566301202766702, \"wind\": 72.97802286558691, \"precipitation\": 29.681848692175006, \"condition\": \"drizzle\"}, {\"temperature\": 10.481864045771506, \"wind\": 10.269367839292642, \"precipitation\": 85.87287289024248, \"condition\": \"rain\"}, {\"temperature\": -9.620152753805623, \"wind\": 64.57630699894213, \"precipitation\": 29.06583641537993, \"condition\": \"drizzle\"}, {\"temperature\": 24.85823346816882, \"wind\": 64.44200648973889, \"precipitation\": 32.79358601401415, \"condition\": \"sun\"}, {\"temperature\": -9.71401231081625, \"wind\": 46.94482107365025, \"precipitation\": 71.95828763550503, \"condition\": \"rain\"}, {\"temperature\": 15.802582568794556, \"wind\": 5.568264782160037, \"precipitation\": 16.50277435360922, \"condition\": \"sun\"}, {\"temperature\": 29.44740698845427, \"wind\": 66.4224540835048, \"precipitation\": 96.91347272575433, \"condition\": \"snow\"}, {\"temperature\": 0.1789559651072139, \"wind\": 37.144396583281235, \"precipitation\": 7.3927878065009445, \"condition\": \"snow\"}, {\"temperature\": 37.90262114384076, \"wind\": 23.744567572534315, \"precipitation\": 85.44013318397162, \"condition\": \"fog\"}, {\"temperature\": 40.40503203411964, \"wind\": 71.68155336881077, \"precipitation\": 91.260802513042, \"condition\": \"snow\"}, {\"temperature\": 2.723433474361908, \"wind\": 5.85694236985378, \"precipitation\": 54.0295184169758, \"condition\": \"drizzle\"}, {\"temperature\": 9.452609321039336, \"wind\": 52.7843932253772, \"precipitation\": 90.04450333194686, \"condition\": \"fog\"}, {\"temperature\": 18.909153974667404, \"wind\": 13.725377509230263, \"precipitation\": 34.56974350594094, \"condition\": \"sun\"}]}}, {\"mode\": \"vega-lite\"});\n",
-       "</script>"
-      ],
-      "text/plain": [
-       "alt.Chart(...)"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "base = alt.Chart(df)\n",
-    "bar = base.mark_bar().encode(\n",
-    "    x=alt.X(\n",
-    "        field=\"temperature\",\n",
-    "        type=\"quantitative\",\n",
-    "        bin=alt.Bin(maxbins=10),\n",
-    "        scale=alt.Scale(type=\"linear\"),\n",
-    "    ),\n",
-    "    y=alt.Y(\n",
-    "        field=\"temperature\",\n",
-    "        type=\"quantitative\",\n",
-    "        aggregate=\"count\",\n",
-    "        scale=alt.Scale(type=\"linear\", zero=True),\n",
-    "    ),\n",
-    ")\n",
-    "display_chart(bar)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### Scatterplot"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 18,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "{'field': [{'name': 'temperature', 'type': 'number'},\n",
-      "           {'name': 'wind', 'type': 'number'}],\n",
-      " 'number_rows': 100,\n",
-      " 'view': [{'mark': [{'encoding': [{'channel': 'x', 'field': 'temperature'},\n",
-      "                                  {'channel': 'y', 'field': 'wind'}],\n",
-      "                     'type': 'point'}],\n",
-      "           'scale': [{'channel': 'x', 'type': 'linear'},\n",
-      "                     {'channel': 'y', 'type': 'linear'}]}]}\n"
-     ]
-    }
-   ],
-   "source": [
-    "facts = [\n",
-    "    \"attribute(number_rows,root,100).\",\n",
-    "    \"entity(field,root,temperature).\",\n",
-    "    \"attribute((field,name),temperature,temperature).\",\n",
-    "    \"attribute((field,type),temperature,number).\",\n",
-    "    \"entity(field,root,wind).\",\n",
-    "    \"attribute((field,name),wind,wind).\",\n",
-    "    \"attribute((field,type),wind,number).\",\n",
-    "    \"entity(view,root,0).\",\n",
-    "    \"entity(mark,0,1).\",\n",
-    "    \"attribute((mark,type),1,point).\",\n",
-    "    \"entity(encoding,1,2).\",\n",
-    "    \"attribute((encoding,channel),2,x).\",\n",
-    "    \"attribute((encoding,field),2,temperature).\",\n",
-    "    \"entity(encoding,1,3).\",\n",
-    "    \"attribute((encoding,channel),3,y).\",\n",
-    "    \"attribute((encoding,field),3,wind).\",\n",
-    "    \"entity(scale,0,4).\",\n",
-    "    \"attribute((scale,channel),4,x).\",\n",
-    "    \"attribute((scale,type),4,linear).\",\n",
-    "    \"entity(scale,0,5).\",\n",
-    "    \"attribute((scale,channel),5,y).\",\n",
-    "    \"attribute((scale,type),5,linear).\",\n",
-    "]\n",
-    "spec = facts_to_dict(facts)\n",
-    "pprint(spec)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 19,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "{'$schema': 'https://vega.github.io/schema/vega-lite/v4.17.0.json',\n",
-      " 'config': {'view': {'continuousHeight': 300, 'continuousWidth': 400}},\n",
-      " 'encoding': {'x': {'field': 'temperature',\n",
-      "                    'scale': {'type': 'linear'},\n",
-      "                    'type': 'quantitative'},\n",
-      "              'y': {'field': 'wind',\n",
-      "                    'scale': {'type': 'linear'},\n",
-      "                    'type': 'quantitative'}},\n",
-      " 'mark': 'point'}\n"
-     ]
-    },
-    {
-     "data": {
-      "text/html": [
-       "\n",
-       "<div id=\"altair-viz-3f52494786fc44e6901ce8f6b23e3318\"></div>\n",
-       "<script type=\"text/javascript\">\n",
-       "  var VEGA_DEBUG = (typeof VEGA_DEBUG == \"undefined\") ? {} : VEGA_DEBUG;\n",
-       "  (function(spec, embedOpt){\n",
-       "    let outputDiv = document.currentScript.previousElementSibling;\n",
-       "    if (outputDiv.id !== \"altair-viz-3f52494786fc44e6901ce8f6b23e3318\") {\n",
-       "      outputDiv = document.getElementById(\"altair-viz-3f52494786fc44e6901ce8f6b23e3318\");\n",
-       "    }\n",
-       "    const paths = {\n",
-       "      \"vega\": \"https://cdn.jsdelivr.net/npm//vega@5?noext\",\n",
-       "      \"vega-lib\": \"https://cdn.jsdelivr.net/npm//vega-lib?noext\",\n",
-       "      \"vega-lite\": \"https://cdn.jsdelivr.net/npm//vega-lite@4.17.0?noext\",\n",
-       "      \"vega-embed\": \"https://cdn.jsdelivr.net/npm//vega-embed@6?noext\",\n",
-       "    };\n",
-       "\n",
-       "    function maybeLoadScript(lib, version) {\n",
-       "      var key = `${lib.replace(\"-\", \"\")}_version`;\n",
-       "      return (VEGA_DEBUG[key] == version) ?\n",
-       "        Promise.resolve(paths[lib]) :\n",
-       "        new Promise(function(resolve, reject) {\n",
-       "          var s = document.createElement('script');\n",
-       "          document.getElementsByTagName(\"head\")[0].appendChild(s);\n",
-       "          s.async = true;\n",
-       "          s.onload = () => {\n",
-       "            VEGA_DEBUG[key] = version;\n",
-       "            return resolve(paths[lib]);\n",
-       "          };\n",
-       "          s.onerror = () => reject(`Error loading script: ${paths[lib]}`);\n",
-       "          s.src = paths[lib];\n",
-       "        });\n",
-       "    }\n",
-       "\n",
-       "    function showError(err) {\n",
-       "      outputDiv.innerHTML = `<div class=\"error\" style=\"color:red;\">${err}</div>`;\n",
-       "      throw err;\n",
-       "    }\n",
-       "\n",
-       "    function displayChart(vegaEmbed) {\n",
-       "      vegaEmbed(outputDiv, spec, embedOpt)\n",
-       "        .catch(err => showError(`Javascript Error: ${err.message}<br>This usually means there's a typo in your chart specification. See the javascript console for the full traceback.`));\n",
-       "    }\n",
-       "\n",
-       "    if(typeof define === \"function\" && define.amd) {\n",
-       "      requirejs.config({paths});\n",
-       "      require([\"vega-embed\"], displayChart, err => showError(`Error loading script: ${err.message}`));\n",
-       "    } else {\n",
-       "      maybeLoadScript(\"vega\", \"5\")\n",
-       "        .then(() => maybeLoadScript(\"vega-lite\", \"4.17.0\"))\n",
-       "        .then(() => maybeLoadScript(\"vega-embed\", \"6\"))\n",
-       "        .catch(showError)\n",
-       "        .then(() => displayChart(vegaEmbed));\n",
-       "    }\n",
-       "  })({\"config\": {\"view\": {\"continuousWidth\": 400, \"continuousHeight\": 300}}, \"data\": {\"name\": \"data-124c435c1b687eb7890344117a1c86b4\"}, \"mark\": \"point\", \"encoding\": {\"x\": {\"field\": \"temperature\", \"scale\": {\"type\": \"linear\"}, \"type\": \"quantitative\"}, \"y\": {\"field\": \"wind\", \"scale\": {\"type\": \"linear\"}, \"type\": \"quantitative\"}}, \"$schema\": \"https://vega.github.io/schema/vega-lite/v4.17.0.json\", \"datasets\": {\"data-124c435c1b687eb7890344117a1c86b4\": [{\"temperature\": 17.89365303788651, \"wind\": 78.75685633883592, \"precipitation\": 41.61124606702779, \"condition\": \"rain\"}, {\"temperature\": 5.622818441769336, \"wind\": 25.421998841055917, \"precipitation\": 74.90555083684964, \"condition\": \"rain\"}, {\"temperature\": 23.3902094090436, \"wind\": 9.846103163487696, \"precipitation\": 81.33536438710783, \"condition\": \"rain\"}, {\"temperature\": 20.889554427248395, \"wind\": 27.53521295661492, \"precipitation\": 27.6549324712597, \"condition\": \"drizzle\"}, {\"temperature\": 33.91026207788065, \"wind\": 97.91032820138525, \"precipitation\": 36.53494267552425, \"condition\": \"snow\"}, {\"temperature\": 39.65611406756084, \"wind\": 24.27383951799732, \"precipitation\": 33.38647147375286, \"condition\": \"rain\"}, {\"temperature\": 5.670659801967243, \"wind\": 98.20197823012846, \"precipitation\": 93.72832557739356, \"condition\": \"snow\"}, {\"temperature\": -2.2776070811204505, \"wind\": 77.90443786588797, \"precipitation\": 50.102310147035375, \"condition\": \"drizzle\"}, {\"temperature\": 43.104548648992775, \"wind\": 74.77698982401796, \"precipitation\": 89.95647852559429, \"condition\": \"sun\"}, {\"temperature\": 1.8049661385207525, \"wind\": 91.29152261118769, \"precipitation\": 29.77145087552332, \"condition\": \"fog\"}, {\"temperature\": 14.327115187571408, \"wind\": 45.054261048821296, \"precipitation\": 17.654846400296798, \"condition\": \"drizzle\"}, {\"temperature\": 25.44797791508993, \"wind\": 22.265267642454656, \"precipitation\": 60.37929677885421, \"condition\": \"drizzle\"}, {\"temperature\": 11.19016835531465, \"wind\": 77.30294308487814, \"precipitation\": 71.65443847888368, \"condition\": \"snow\"}, {\"temperature\": 22.948827407585433, \"wind\": 27.03785915458824, \"precipitation\": 92.68901140573688, \"condition\": \"snow\"}, {\"temperature\": 33.16555388154543, \"wind\": 92.1292103045794, \"precipitation\": 39.10838647644195, \"condition\": \"snow\"}, {\"temperature\": 9.981393546660723, \"wind\": 66.73004528306666, \"precipitation\": 19.36957583451713, \"condition\": \"drizzle\"}, {\"temperature\": 2.837559858993796, \"wind\": 18.62443662393004, \"precipitation\": 57.42273968155751, \"condition\": \"sun\"}, {\"temperature\": 39.14290590745285, \"wind\": 32.52859013259527, \"precipitation\": 88.21897530715309, \"condition\": \"rain\"}, {\"temperature\": 39.2325438266719, \"wind\": 2.511353474345024, \"precipitation\": 78.95158173752907, \"condition\": \"fog\"}, {\"temperature\": 2.949456835649645, \"wind\": 1.9370157264502197, \"precipitation\": 3.5337114891518584, \"condition\": \"fog\"}, {\"temperature\": 28.422917308067277, \"wind\": 6.822434636914776, \"precipitation\": 84.5655158038795, \"condition\": \"fog\"}, {\"temperature\": 28.406344711783838, \"wind\": 95.25216996998444, \"precipitation\": 2.312429289727791, \"condition\": \"fog\"}, {\"temperature\": 23.929825809705775, \"wind\": 28.441727967722407, \"precipitation\": 94.94371547195382, \"condition\": \"drizzle\"}, {\"temperature\": 25.144603850494207, \"wind\": 5.7248518372133965, \"precipitation\": 72.55961327284773, \"condition\": \"drizzle\"}, {\"temperature\": -3.1069016270510676, \"wind\": 90.56068308052812, \"precipitation\": 8.208347981870512, \"condition\": \"rain\"}, {\"temperature\": 43.07443333444708, \"wind\": 63.33777651825151, \"precipitation\": 35.343598004733714, \"condition\": \"sun\"}, {\"temperature\": -8.715631484900875, \"wind\": 78.50049089036061, \"precipitation\": 16.726772866900042, \"condition\": \"fog\"}, {\"temperature\": 10.058625587365142, \"wind\": 82.55410159133031, \"precipitation\": 49.82193593499935, \"condition\": \"fog\"}, {\"temperature\": 27.912341883718938, \"wind\": 45.94389098129158, \"precipitation\": 87.71806691348185, \"condition\": \"sun\"}, {\"temperature\": 28.827008981675903, \"wind\": 14.352645600160752, \"precipitation\": 95.30777240838884, \"condition\": \"sun\"}, {\"temperature\": -5.245472855196331, \"wind\": 24.463633090927274, \"precipitation\": 63.1630488725617, \"condition\": \"fog\"}, {\"temperature\": -4.738627417736829, \"wind\": 87.61779675788263, \"precipitation\": 67.17488470646667, \"condition\": \"fog\"}, {\"temperature\": -1.6463371096382655, \"wind\": 34.15953757649686, \"precipitation\": 83.20021064524306, \"condition\": \"rain\"}, {\"temperature\": -8.671469939339552, \"wind\": 28.02148157701091, \"precipitation\": 8.858286414027772, \"condition\": \"snow\"}, {\"temperature\": 23.586980668182306, \"wind\": 32.61177727202879, \"precipitation\": 90.55384722692395, \"condition\": \"snow\"}, {\"temperature\": 42.93552301196303, \"wind\": 17.459007963452034, \"precipitation\": 76.26693620563219, \"condition\": \"sun\"}, {\"temperature\": 14.04271616398174, \"wind\": 31.44611970670743, \"precipitation\": 27.736449442339893, \"condition\": \"rain\"}, {\"temperature\": 33.93136729382773, \"wind\": 85.0980112392488, \"precipitation\": 48.72266227519502, \"condition\": \"fog\"}, {\"temperature\": 29.10713627050935, \"wind\": 25.401508775422734, \"precipitation\": 83.25120184383715, \"condition\": \"fog\"}, {\"temperature\": 23.33130010979005, \"wind\": 38.960479467358745, \"precipitation\": 84.8094568801428, \"condition\": \"rain\"}, {\"temperature\": 27.820447049966695, \"wind\": 97.47611794506456, \"precipitation\": 59.404606053602336, \"condition\": \"fog\"}, {\"temperature\": 24.704809156505995, \"wind\": 56.929461372432655, \"precipitation\": 16.583726619344496, \"condition\": \"drizzle\"}, {\"temperature\": 42.73839675123029, \"wind\": 19.024929246369528, \"precipitation\": 37.515692671204135, \"condition\": \"sun\"}, {\"temperature\": 39.73480992464111, \"wind\": 63.10268501376382, \"precipitation\": 15.20512544845365, \"condition\": \"fog\"}, {\"temperature\": 34.928857478491054, \"wind\": 44.34437827092474, \"precipitation\": 2.9919970218495684, \"condition\": \"sun\"}, {\"temperature\": 12.475457440238529, \"wind\": 45.63508245761745, \"precipitation\": 1.5684442569828705, \"condition\": \"fog\"}, {\"temperature\": 11.485742656702111, \"wind\": 35.43011450755876, \"precipitation\": 46.843314320146966, \"condition\": \"fog\"}, {\"temperature\": 16.58332024159822, \"wind\": 85.9387003246595, \"precipitation\": 67.67417859666371, \"condition\": \"sun\"}, {\"temperature\": 42.96961504747511, \"wind\": 61.02100908610409, \"precipitation\": 40.19537213295094, \"condition\": \"snow\"}, {\"temperature\": 43.01306682260888, \"wind\": 91.58796490357004, \"precipitation\": 10.242970289225461, \"condition\": \"sun\"}, {\"temperature\": 17.888206090116245, \"wind\": 29.82373325722851, \"precipitation\": 44.29455934969246, \"condition\": \"sun\"}, {\"temperature\": 13.700882757230424, \"wind\": 46.93705512034313, \"precipitation\": 76.07676796446637, \"condition\": \"rain\"}, {\"temperature\": 4.986331720563626, \"wind\": 81.90760931416689, \"precipitation\": 34.892239668746406, \"condition\": \"drizzle\"}, {\"temperature\": -1.4778346288931683, \"wind\": 3.9791854357363987, \"precipitation\": 7.535152538482148, \"condition\": \"drizzle\"}, {\"temperature\": 16.892161248783623, \"wind\": 31.993361074291926, \"precipitation\": 60.46401934620111, \"condition\": \"drizzle\"}, {\"temperature\": -7.17506030059671, \"wind\": 5.042336185555952, \"precipitation\": 88.35922403405787, \"condition\": \"drizzle\"}, {\"temperature\": 9.85908134441586, \"wind\": 48.491362316119236, \"precipitation\": 23.80248472573617, \"condition\": \"snow\"}, {\"temperature\": 28.54368725395195, \"wind\": 5.72748587709313, \"precipitation\": 25.974359374267742, \"condition\": \"drizzle\"}, {\"temperature\": 41.85044222939622, \"wind\": 3.311333417116047, \"precipitation\": 1.7918023488591839, \"condition\": \"snow\"}, {\"temperature\": 39.51847585775124, \"wind\": 89.64939452111453, \"precipitation\": 48.53950512768904, \"condition\": \"fog\"}, {\"temperature\": 4.1511791382858725, \"wind\": 58.14172937556887, \"precipitation\": 79.66452798481971, \"condition\": \"drizzle\"}, {\"temperature\": 7.316849144326355, \"wind\": 6.796864846855866, \"precipitation\": 33.619090549629306, \"condition\": \"snow\"}, {\"temperature\": -6.040726652488083, \"wind\": 24.37214720554359, \"precipitation\": 71.46568853073089, \"condition\": \"rain\"}, {\"temperature\": 28.05026452008928, \"wind\": 19.39989397387041, \"precipitation\": 71.68725771245654, \"condition\": \"drizzle\"}, {\"temperature\": 35.30623993317926, \"wind\": 66.54091843981752, \"precipitation\": 22.884049790672588, \"condition\": \"rain\"}, {\"temperature\": -9.078168118751755, \"wind\": 54.53321547753263, \"precipitation\": 66.43449936744369, \"condition\": \"sun\"}, {\"temperature\": 34.31111609068961, \"wind\": 92.79899053872957, \"precipitation\": 61.9431928594434, \"condition\": \"sun\"}, {\"temperature\": -0.5340863902706268, \"wind\": 89.18484464889846, \"precipitation\": 88.49655552922172, \"condition\": \"rain\"}, {\"temperature\": -7.331283732097262, \"wind\": 16.43300088620039, \"precipitation\": 92.15523633598885, \"condition\": \"drizzle\"}, {\"temperature\": 34.4512940591614, \"wind\": 16.982566694713043, \"precipitation\": 66.50391898652623, \"condition\": \"fog\"}, {\"temperature\": 2.292195972387347, \"wind\": 78.07758659490037, \"precipitation\": 85.08941323813521, \"condition\": \"snow\"}, {\"temperature\": 10.280188069701488, \"wind\": 64.37598506985243, \"precipitation\": 46.13428294966927, \"condition\": \"sun\"}, {\"temperature\": 14.385637791164196, \"wind\": 27.710246014732775, \"precipitation\": 82.18132103083111, \"condition\": \"rain\"}, {\"temperature\": 15.068929930658907, \"wind\": 90.37313777532859, \"precipitation\": 95.42688091272505, \"condition\": \"rain\"}, {\"temperature\": -5.931704200276687, \"wind\": 76.30697305192514, \"precipitation\": 48.17926018036856, \"condition\": \"drizzle\"}, {\"temperature\": -1.2238906425326128, \"wind\": 77.25655113115953, \"precipitation\": 12.189057445370022, \"condition\": \"sun\"}, {\"temperature\": 17.981273164150583, \"wind\": 99.8855194023956, \"precipitation\": 5.951490853046981, \"condition\": \"drizzle\"}, {\"temperature\": 8.333054222089164, \"wind\": 22.351144710727677, \"precipitation\": 1.9907985646430038, \"condition\": \"rain\"}, {\"temperature\": 40.99117292213711, \"wind\": 12.537186007473021, \"precipitation\": 3.0957134444521195, \"condition\": \"drizzle\"}, {\"temperature\": 36.29560583814439, \"wind\": 47.282861379528676, \"precipitation\": 50.72175472263106, \"condition\": \"fog\"}, {\"temperature\": 8.011942225789358, \"wind\": 80.64679426688298, \"precipitation\": 84.74031260132877, \"condition\": \"sun\"}, {\"temperature\": 32.64189921238727, \"wind\": 78.38867921926278, \"precipitation\": 94.27015659699374, \"condition\": \"fog\"}, {\"temperature\": -4.159829210634211, \"wind\": 53.39060475873939, \"precipitation\": 50.60795287404672, \"condition\": \"fog\"}, {\"temperature\": -6.602296737522483, \"wind\": 86.55899134629715, \"precipitation\": 62.64697378600636, \"condition\": \"fog\"}, {\"temperature\": 40.135239145180655, \"wind\": 16.633704419495032, \"precipitation\": 41.391087682479736, \"condition\": \"drizzle\"}, {\"temperature\": 26.95881305440288, \"wind\": 85.8809786017975, \"precipitation\": 71.9617762842435, \"condition\": \"drizzle\"}, {\"temperature\": 11.92991543604046, \"wind\": 76.39140196294017, \"precipitation\": 60.40612399492309, \"condition\": \"drizzle\"}, {\"temperature\": 19.566301202766702, \"wind\": 72.97802286558691, \"precipitation\": 29.681848692175006, \"condition\": \"drizzle\"}, {\"temperature\": 10.481864045771506, \"wind\": 10.269367839292642, \"precipitation\": 85.87287289024248, \"condition\": \"rain\"}, {\"temperature\": -9.620152753805623, \"wind\": 64.57630699894213, \"precipitation\": 29.06583641537993, \"condition\": \"drizzle\"}, {\"temperature\": 24.85823346816882, \"wind\": 64.44200648973889, \"precipitation\": 32.79358601401415, \"condition\": \"sun\"}, {\"temperature\": -9.71401231081625, \"wind\": 46.94482107365025, \"precipitation\": 71.95828763550503, \"condition\": \"rain\"}, {\"temperature\": 15.802582568794556, \"wind\": 5.568264782160037, \"precipitation\": 16.50277435360922, \"condition\": \"sun\"}, {\"temperature\": 29.44740698845427, \"wind\": 66.4224540835048, \"precipitation\": 96.91347272575433, \"condition\": \"snow\"}, {\"temperature\": 0.1789559651072139, \"wind\": 37.144396583281235, \"precipitation\": 7.3927878065009445, \"condition\": \"snow\"}, {\"temperature\": 37.90262114384076, \"wind\": 23.744567572534315, \"precipitation\": 85.44013318397162, \"condition\": \"fog\"}, {\"temperature\": 40.40503203411964, \"wind\": 71.68155336881077, \"precipitation\": 91.260802513042, \"condition\": \"snow\"}, {\"temperature\": 2.723433474361908, \"wind\": 5.85694236985378, \"precipitation\": 54.0295184169758, \"condition\": \"drizzle\"}, {\"temperature\": 9.452609321039336, \"wind\": 52.7843932253772, \"precipitation\": 90.04450333194686, \"condition\": \"fog\"}, {\"temperature\": 18.909153974667404, \"wind\": 13.725377509230263, \"precipitation\": 34.56974350594094, \"condition\": \"sun\"}]}}, {\"mode\": \"vega-lite\"});\n",
-       "</script>"
-      ],
-      "text/plain": [
-       "alt.Chart(...)"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "base = alt.Chart(df)\n",
-    "point = base.mark_point().encode(\n",
-    "    x=alt.X(field=\"temperature\", type=\"quantitative\", scale=alt.Scale(type=\"linear\")),\n",
-    "    y=alt.Y(field=\"wind\", type=\"quantitative\", scale=alt.Scale(type=\"linear\")),\n",
-    ")\n",
-    "display_chart(point)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### Scatterplot with Color"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 20,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "{'field': [{'name': 'temperature', 'type': 'number'},\n",
-      "           {'name': 'wind', 'type': 'number'},\n",
-      "           {'name': 'condition', 'type': 'string'}],\n",
-      " 'number_rows': 100,\n",
-      " 'view': [{'mark': [{'encoding': [{'channel': 'x', 'field': 'temperature'},\n",
-      "                                  {'channel': 'y', 'field': 'wind'},\n",
-      "                                  {'channel': 'color', 'field': 'condition'}],\n",
-      "                     'type': 'point'}],\n",
-      "           'scale': [{'channel': 'x', 'type': 'linear'},\n",
-      "                     {'channel': 'y', 'type': 'linear'},\n",
-      "                     {'channel': 'color', 'type': 'categorical'}]}]}\n"
-     ]
-    }
-   ],
-   "source": [
-    "facts = [\n",
-    "    \"attribute(number_rows,root,100).\",\n",
-    "    \"entity(field,root,temperature).\",\n",
-    "    \"attribute((field,name),temperature,temperature).\",\n",
-    "    \"attribute((field,type),temperature,number).\",\n",
-    "    \"entity(field,root,wind).\",\n",
-    "    \"attribute((field,name),wind,wind).\",\n",
-    "    \"attribute((field,type),wind,number).\",\n",
-    "    \"entity(field,root,condition).\",\n",
-    "    \"attribute((field,name),condition,condition).\",\n",
-    "    \"attribute((field,type),condition,string).\",\n",
-    "    \"entity(view,root,0).\",\n",
-    "    \"entity(mark,0,1).\",\n",
-    "    \"attribute((mark,type),1,point).\",\n",
-    "    \"entity(encoding,1,2).\",\n",
-    "    \"attribute((encoding,channel),2,x).\",\n",
-    "    \"attribute((encoding,field),2,temperature).\",\n",
-    "    \"entity(encoding,1,3).\",\n",
-    "    \"attribute((encoding,channel),3,y).\",\n",
-    "    \"attribute((encoding,field),3,wind).\",\n",
-    "    \"entity(encoding,1,4).\",\n",
-    "    \"attribute((encoding,channel),4,color).\",\n",
-    "    \"attribute((encoding,field),4,condition).\",\n",
-    "    \"entity(scale,0,5).\",\n",
-    "    \"attribute((scale,channel),5,x).\",\n",
-    "    \"attribute((scale,type),5,linear).\",\n",
-    "    \"entity(scale,0,6).\",\n",
-    "    \"attribute((scale,channel),6,y).\",\n",
-    "    \"attribute((scale,type),6,linear).\",\n",
-    "    \"entity(scale,0,7).\",\n",
-    "    \"attribute((scale,channel),7,color).\",\n",
-    "    \"attribute((scale,type),7,categorical).\",\n",
-    "]\n",
-    "spec = facts_to_dict(facts)\n",
-    "pprint(spec)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 21,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "{'$schema': 'https://vega.github.io/schema/vega-lite/v4.17.0.json',\n",
-      " 'config': {'view': {'continuousHeight': 300, 'continuousWidth': 400}},\n",
-      " 'encoding': {'color': {'field': 'condition',\n",
-      "                        'scale': {'type': 'ordinal'},\n",
-      "                        'type': 'nominal'},\n",
-      "              'x': {'field': 'temperature',\n",
-      "                    'scale': {'type': 'linear'},\n",
-      "                    'type': 'quantitative'},\n",
-      "              'y': {'field': 'wind',\n",
-      "                    'scale': {'type': 'linear'},\n",
-      "                    'type': 'quantitative'}},\n",
-      " 'mark': 'point'}\n"
-     ]
-    },
-    {
-     "data": {
-      "text/html": [
-       "\n",
-       "<div id=\"altair-viz-0315458b06324779bfca5bf02434d6d7\"></div>\n",
-       "<script type=\"text/javascript\">\n",
-       "  var VEGA_DEBUG = (typeof VEGA_DEBUG == \"undefined\") ? {} : VEGA_DEBUG;\n",
-       "  (function(spec, embedOpt){\n",
-       "    let outputDiv = document.currentScript.previousElementSibling;\n",
-       "    if (outputDiv.id !== \"altair-viz-0315458b06324779bfca5bf02434d6d7\") {\n",
-       "      outputDiv = document.getElementById(\"altair-viz-0315458b06324779bfca5bf02434d6d7\");\n",
-       "    }\n",
-       "    const paths = {\n",
-       "      \"vega\": \"https://cdn.jsdelivr.net/npm//vega@5?noext\",\n",
-       "      \"vega-lib\": \"https://cdn.jsdelivr.net/npm//vega-lib?noext\",\n",
-       "      \"vega-lite\": \"https://cdn.jsdelivr.net/npm//vega-lite@4.17.0?noext\",\n",
-       "      \"vega-embed\": \"https://cdn.jsdelivr.net/npm//vega-embed@6?noext\",\n",
-       "    };\n",
-       "\n",
-       "    function maybeLoadScript(lib, version) {\n",
-       "      var key = `${lib.replace(\"-\", \"\")}_version`;\n",
-       "      return (VEGA_DEBUG[key] == version) ?\n",
-       "        Promise.resolve(paths[lib]) :\n",
-       "        new Promise(function(resolve, reject) {\n",
-       "          var s = document.createElement('script');\n",
-       "          document.getElementsByTagName(\"head\")[0].appendChild(s);\n",
-       "          s.async = true;\n",
-       "          s.onload = () => {\n",
-       "            VEGA_DEBUG[key] = version;\n",
-       "            return resolve(paths[lib]);\n",
-       "          };\n",
-       "          s.onerror = () => reject(`Error loading script: ${paths[lib]}`);\n",
-       "          s.src = paths[lib];\n",
-       "        });\n",
-       "    }\n",
-       "\n",
-       "    function showError(err) {\n",
-       "      outputDiv.innerHTML = `<div class=\"error\" style=\"color:red;\">${err}</div>`;\n",
-       "      throw err;\n",
-       "    }\n",
-       "\n",
-       "    function displayChart(vegaEmbed) {\n",
-       "      vegaEmbed(outputDiv, spec, embedOpt)\n",
-       "        .catch(err => showError(`Javascript Error: ${err.message}<br>This usually means there's a typo in your chart specification. See the javascript console for the full traceback.`));\n",
-       "    }\n",
-       "\n",
-       "    if(typeof define === \"function\" && define.amd) {\n",
-       "      requirejs.config({paths});\n",
-       "      require([\"vega-embed\"], displayChart, err => showError(`Error loading script: ${err.message}`));\n",
-       "    } else {\n",
-       "      maybeLoadScript(\"vega\", \"5\")\n",
-       "        .then(() => maybeLoadScript(\"vega-lite\", \"4.17.0\"))\n",
-       "        .then(() => maybeLoadScript(\"vega-embed\", \"6\"))\n",
-       "        .catch(showError)\n",
-       "        .then(() => displayChart(vegaEmbed));\n",
-       "    }\n",
-       "  })({\"config\": {\"view\": {\"continuousWidth\": 400, \"continuousHeight\": 300}}, \"data\": {\"name\": \"data-124c435c1b687eb7890344117a1c86b4\"}, \"mark\": \"point\", \"encoding\": {\"color\": {\"field\": \"condition\", \"scale\": {\"type\": \"ordinal\"}, \"type\": \"nominal\"}, \"x\": {\"field\": \"temperature\", \"scale\": {\"type\": \"linear\"}, \"type\": \"quantitative\"}, \"y\": {\"field\": \"wind\", \"scale\": {\"type\": \"linear\"}, \"type\": \"quantitative\"}}, \"$schema\": \"https://vega.github.io/schema/vega-lite/v4.17.0.json\", \"datasets\": {\"data-124c435c1b687eb7890344117a1c86b4\": [{\"temperature\": 17.89365303788651, \"wind\": 78.75685633883592, \"precipitation\": 41.61124606702779, \"condition\": \"rain\"}, {\"temperature\": 5.622818441769336, \"wind\": 25.421998841055917, \"precipitation\": 74.90555083684964, \"condition\": \"rain\"}, {\"temperature\": 23.3902094090436, \"wind\": 9.846103163487696, \"precipitation\": 81.33536438710783, \"condition\": \"rain\"}, {\"temperature\": 20.889554427248395, \"wind\": 27.53521295661492, \"precipitation\": 27.6549324712597, \"condition\": \"drizzle\"}, {\"temperature\": 33.91026207788065, \"wind\": 97.91032820138525, \"precipitation\": 36.53494267552425, \"condition\": \"snow\"}, {\"temperature\": 39.65611406756084, \"wind\": 24.27383951799732, \"precipitation\": 33.38647147375286, \"condition\": \"rain\"}, {\"temperature\": 5.670659801967243, \"wind\": 98.20197823012846, \"precipitation\": 93.72832557739356, \"condition\": \"snow\"}, {\"temperature\": -2.2776070811204505, \"wind\": 77.90443786588797, \"precipitation\": 50.102310147035375, \"condition\": \"drizzle\"}, {\"temperature\": 43.104548648992775, \"wind\": 74.77698982401796, \"precipitation\": 89.95647852559429, \"condition\": \"sun\"}, {\"temperature\": 1.8049661385207525, \"wind\": 91.29152261118769, \"precipitation\": 29.77145087552332, \"condition\": \"fog\"}, {\"temperature\": 14.327115187571408, \"wind\": 45.054261048821296, \"precipitation\": 17.654846400296798, \"condition\": \"drizzle\"}, {\"temperature\": 25.44797791508993, \"wind\": 22.265267642454656, \"precipitation\": 60.37929677885421, \"condition\": \"drizzle\"}, {\"temperature\": 11.19016835531465, \"wind\": 77.30294308487814, \"precipitation\": 71.65443847888368, \"condition\": \"snow\"}, {\"temperature\": 22.948827407585433, \"wind\": 27.03785915458824, \"precipitation\": 92.68901140573688, \"condition\": \"snow\"}, {\"temperature\": 33.16555388154543, \"wind\": 92.1292103045794, \"precipitation\": 39.10838647644195, \"condition\": \"snow\"}, {\"temperature\": 9.981393546660723, \"wind\": 66.73004528306666, \"precipitation\": 19.36957583451713, \"condition\": \"drizzle\"}, {\"temperature\": 2.837559858993796, \"wind\": 18.62443662393004, \"precipitation\": 57.42273968155751, \"condition\": \"sun\"}, {\"temperature\": 39.14290590745285, \"wind\": 32.52859013259527, \"precipitation\": 88.21897530715309, \"condition\": \"rain\"}, {\"temperature\": 39.2325438266719, \"wind\": 2.511353474345024, \"precipitation\": 78.95158173752907, \"condition\": \"fog\"}, {\"temperature\": 2.949456835649645, \"wind\": 1.9370157264502197, \"precipitation\": 3.5337114891518584, \"condition\": \"fog\"}, {\"temperature\": 28.422917308067277, \"wind\": 6.822434636914776, \"precipitation\": 84.5655158038795, \"condition\": \"fog\"}, {\"temperature\": 28.406344711783838, \"wind\": 95.25216996998444, \"precipitation\": 2.312429289727791, \"condition\": \"fog\"}, {\"temperature\": 23.929825809705775, \"wind\": 28.441727967722407, \"precipitation\": 94.94371547195382, \"condition\": \"drizzle\"}, {\"temperature\": 25.144603850494207, \"wind\": 5.7248518372133965, \"precipitation\": 72.55961327284773, \"condition\": \"drizzle\"}, {\"temperature\": -3.1069016270510676, \"wind\": 90.56068308052812, \"precipitation\": 8.208347981870512, \"condition\": \"rain\"}, {\"temperature\": 43.07443333444708, \"wind\": 63.33777651825151, \"precipitation\": 35.343598004733714, \"condition\": \"sun\"}, {\"temperature\": -8.715631484900875, \"wind\": 78.50049089036061, \"precipitation\": 16.726772866900042, \"condition\": \"fog\"}, {\"temperature\": 10.058625587365142, \"wind\": 82.55410159133031, \"precipitation\": 49.82193593499935, \"condition\": \"fog\"}, {\"temperature\": 27.912341883718938, \"wind\": 45.94389098129158, \"precipitation\": 87.71806691348185, \"condition\": \"sun\"}, {\"temperature\": 28.827008981675903, \"wind\": 14.352645600160752, \"precipitation\": 95.30777240838884, \"condition\": \"sun\"}, {\"temperature\": -5.245472855196331, \"wind\": 24.463633090927274, \"precipitation\": 63.1630488725617, \"condition\": \"fog\"}, {\"temperature\": -4.738627417736829, \"wind\": 87.61779675788263, \"precipitation\": 67.17488470646667, \"condition\": \"fog\"}, {\"temperature\": -1.6463371096382655, \"wind\": 34.15953757649686, \"precipitation\": 83.20021064524306, \"condition\": \"rain\"}, {\"temperature\": -8.671469939339552, \"wind\": 28.02148157701091, \"precipitation\": 8.858286414027772, \"condition\": \"snow\"}, {\"temperature\": 23.586980668182306, \"wind\": 32.61177727202879, \"precipitation\": 90.55384722692395, \"condition\": \"snow\"}, {\"temperature\": 42.93552301196303, \"wind\": 17.459007963452034, \"precipitation\": 76.26693620563219, \"condition\": \"sun\"}, {\"temperature\": 14.04271616398174, \"wind\": 31.44611970670743, \"precipitation\": 27.736449442339893, \"condition\": \"rain\"}, {\"temperature\": 33.93136729382773, \"wind\": 85.0980112392488, \"precipitation\": 48.72266227519502, \"condition\": \"fog\"}, {\"temperature\": 29.10713627050935, \"wind\": 25.401508775422734, \"precipitation\": 83.25120184383715, \"condition\": \"fog\"}, {\"temperature\": 23.33130010979005, \"wind\": 38.960479467358745, \"precipitation\": 84.8094568801428, \"condition\": \"rain\"}, {\"temperature\": 27.820447049966695, \"wind\": 97.47611794506456, \"precipitation\": 59.404606053602336, \"condition\": \"fog\"}, {\"temperature\": 24.704809156505995, \"wind\": 56.929461372432655, \"precipitation\": 16.583726619344496, \"condition\": \"drizzle\"}, {\"temperature\": 42.73839675123029, \"wind\": 19.024929246369528, \"precipitation\": 37.515692671204135, \"condition\": \"sun\"}, {\"temperature\": 39.73480992464111, \"wind\": 63.10268501376382, \"precipitation\": 15.20512544845365, \"condition\": \"fog\"}, {\"temperature\": 34.928857478491054, \"wind\": 44.34437827092474, \"precipitation\": 2.9919970218495684, \"condition\": \"sun\"}, {\"temperature\": 12.475457440238529, \"wind\": 45.63508245761745, \"precipitation\": 1.5684442569828705, \"condition\": \"fog\"}, {\"temperature\": 11.485742656702111, \"wind\": 35.43011450755876, \"precipitation\": 46.843314320146966, \"condition\": \"fog\"}, {\"temperature\": 16.58332024159822, \"wind\": 85.9387003246595, \"precipitation\": 67.67417859666371, \"condition\": \"sun\"}, {\"temperature\": 42.96961504747511, \"wind\": 61.02100908610409, \"precipitation\": 40.19537213295094, \"condition\": \"snow\"}, {\"temperature\": 43.01306682260888, \"wind\": 91.58796490357004, \"precipitation\": 10.242970289225461, \"condition\": \"sun\"}, {\"temperature\": 17.888206090116245, \"wind\": 29.82373325722851, \"precipitation\": 44.29455934969246, \"condition\": \"sun\"}, {\"temperature\": 13.700882757230424, \"wind\": 46.93705512034313, \"precipitation\": 76.07676796446637, \"condition\": \"rain\"}, {\"temperature\": 4.986331720563626, \"wind\": 81.90760931416689, \"precipitation\": 34.892239668746406, \"condition\": \"drizzle\"}, {\"temperature\": -1.4778346288931683, \"wind\": 3.9791854357363987, \"precipitation\": 7.535152538482148, \"condition\": \"drizzle\"}, {\"temperature\": 16.892161248783623, \"wind\": 31.993361074291926, \"precipitation\": 60.46401934620111, \"condition\": \"drizzle\"}, {\"temperature\": -7.17506030059671, \"wind\": 5.042336185555952, \"precipitation\": 88.35922403405787, \"condition\": \"drizzle\"}, {\"temperature\": 9.85908134441586, \"wind\": 48.491362316119236, \"precipitation\": 23.80248472573617, \"condition\": \"snow\"}, {\"temperature\": 28.54368725395195, \"wind\": 5.72748587709313, \"precipitation\": 25.974359374267742, \"condition\": \"drizzle\"}, {\"temperature\": 41.85044222939622, \"wind\": 3.311333417116047, \"precipitation\": 1.7918023488591839, \"condition\": \"snow\"}, {\"temperature\": 39.51847585775124, \"wind\": 89.64939452111453, \"precipitation\": 48.53950512768904, \"condition\": \"fog\"}, {\"temperature\": 4.1511791382858725, \"wind\": 58.14172937556887, \"precipitation\": 79.66452798481971, \"condition\": \"drizzle\"}, {\"temperature\": 7.316849144326355, \"wind\": 6.796864846855866, \"precipitation\": 33.619090549629306, \"condition\": \"snow\"}, {\"temperature\": -6.040726652488083, \"wind\": 24.37214720554359, \"precipitation\": 71.46568853073089, \"condition\": \"rain\"}, {\"temperature\": 28.05026452008928, \"wind\": 19.39989397387041, \"precipitation\": 71.68725771245654, \"condition\": \"drizzle\"}, {\"temperature\": 35.30623993317926, \"wind\": 66.54091843981752, \"precipitation\": 22.884049790672588, \"condition\": \"rain\"}, {\"temperature\": -9.078168118751755, \"wind\": 54.53321547753263, \"precipitation\": 66.43449936744369, \"condition\": \"sun\"}, {\"temperature\": 34.31111609068961, \"wind\": 92.79899053872957, \"precipitation\": 61.9431928594434, \"condition\": \"sun\"}, {\"temperature\": -0.5340863902706268, \"wind\": 89.18484464889846, \"precipitation\": 88.49655552922172, \"condition\": \"rain\"}, {\"temperature\": -7.331283732097262, \"wind\": 16.43300088620039, \"precipitation\": 92.15523633598885, \"condition\": \"drizzle\"}, {\"temperature\": 34.4512940591614, \"wind\": 16.982566694713043, \"precipitation\": 66.50391898652623, \"condition\": \"fog\"}, {\"temperature\": 2.292195972387347, \"wind\": 78.07758659490037, \"precipitation\": 85.08941323813521, \"condition\": \"snow\"}, {\"temperature\": 10.280188069701488, \"wind\": 64.37598506985243, \"precipitation\": 46.13428294966927, \"condition\": \"sun\"}, {\"temperature\": 14.385637791164196, \"wind\": 27.710246014732775, \"precipitation\": 82.18132103083111, \"condition\": \"rain\"}, {\"temperature\": 15.068929930658907, \"wind\": 90.37313777532859, \"precipitation\": 95.42688091272505, \"condition\": \"rain\"}, {\"temperature\": -5.931704200276687, \"wind\": 76.30697305192514, \"precipitation\": 48.17926018036856, \"condition\": \"drizzle\"}, {\"temperature\": -1.2238906425326128, \"wind\": 77.25655113115953, \"precipitation\": 12.189057445370022, \"condition\": \"sun\"}, {\"temperature\": 17.981273164150583, \"wind\": 99.8855194023956, \"precipitation\": 5.951490853046981, \"condition\": \"drizzle\"}, {\"temperature\": 8.333054222089164, \"wind\": 22.351144710727677, \"precipitation\": 1.9907985646430038, \"condition\": \"rain\"}, {\"temperature\": 40.99117292213711, \"wind\": 12.537186007473021, \"precipitation\": 3.0957134444521195, \"condition\": \"drizzle\"}, {\"temperature\": 36.29560583814439, \"wind\": 47.282861379528676, \"precipitation\": 50.72175472263106, \"condition\": \"fog\"}, {\"temperature\": 8.011942225789358, \"wind\": 80.64679426688298, \"precipitation\": 84.74031260132877, \"condition\": \"sun\"}, {\"temperature\": 32.64189921238727, \"wind\": 78.38867921926278, \"precipitation\": 94.27015659699374, \"condition\": \"fog\"}, {\"temperature\": -4.159829210634211, \"wind\": 53.39060475873939, \"precipitation\": 50.60795287404672, \"condition\": \"fog\"}, {\"temperature\": -6.602296737522483, \"wind\": 86.55899134629715, \"precipitation\": 62.64697378600636, \"condition\": \"fog\"}, {\"temperature\": 40.135239145180655, \"wind\": 16.633704419495032, \"precipitation\": 41.391087682479736, \"condition\": \"drizzle\"}, {\"temperature\": 26.95881305440288, \"wind\": 85.8809786017975, \"precipitation\": 71.9617762842435, \"condition\": \"drizzle\"}, {\"temperature\": 11.92991543604046, \"wind\": 76.39140196294017, \"precipitation\": 60.40612399492309, \"condition\": \"drizzle\"}, {\"temperature\": 19.566301202766702, \"wind\": 72.97802286558691, \"precipitation\": 29.681848692175006, \"condition\": \"drizzle\"}, {\"temperature\": 10.481864045771506, \"wind\": 10.269367839292642, \"precipitation\": 85.87287289024248, \"condition\": \"rain\"}, {\"temperature\": -9.620152753805623, \"wind\": 64.57630699894213, \"precipitation\": 29.06583641537993, \"condition\": \"drizzle\"}, {\"temperature\": 24.85823346816882, \"wind\": 64.44200648973889, \"precipitation\": 32.79358601401415, \"condition\": \"sun\"}, {\"temperature\": -9.71401231081625, \"wind\": 46.94482107365025, \"precipitation\": 71.95828763550503, \"condition\": \"rain\"}, {\"temperature\": 15.802582568794556, \"wind\": 5.568264782160037, \"precipitation\": 16.50277435360922, \"condition\": \"sun\"}, {\"temperature\": 29.44740698845427, \"wind\": 66.4224540835048, \"precipitation\": 96.91347272575433, \"condition\": \"snow\"}, {\"temperature\": 0.1789559651072139, \"wind\": 37.144396583281235, \"precipitation\": 7.3927878065009445, \"condition\": \"snow\"}, {\"temperature\": 37.90262114384076, \"wind\": 23.744567572534315, \"precipitation\": 85.44013318397162, \"condition\": \"fog\"}, {\"temperature\": 40.40503203411964, \"wind\": 71.68155336881077, \"precipitation\": 91.260802513042, \"condition\": \"snow\"}, {\"temperature\": 2.723433474361908, \"wind\": 5.85694236985378, \"precipitation\": 54.0295184169758, \"condition\": \"drizzle\"}, {\"temperature\": 9.452609321039336, \"wind\": 52.7843932253772, \"precipitation\": 90.04450333194686, \"condition\": \"fog\"}, {\"temperature\": 18.909153974667404, \"wind\": 13.725377509230263, \"precipitation\": 34.56974350594094, \"condition\": \"sun\"}]}}, {\"mode\": \"vega-lite\"});\n",
-       "</script>"
-      ],
-      "text/plain": [
-       "alt.Chart(...)"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "base = alt.Chart(df)\n",
-    "point = base.mark_point().encode(\n",
-    "    x=alt.X(field=\"temperature\", type=\"quantitative\", scale=alt.Scale(type=\"linear\")),\n",
-    "    y=alt.Y(field=\"wind\", type=\"quantitative\", scale=alt.Scale(type=\"linear\")),\n",
-    "    color=alt.Color(field=\"condition\", type=\"nominal\", scale=alt.Scale(type=\"ordinal\")),\n",
-    ")\n",
-    "display_chart(point)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 22,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "{'field': [{'name': 'temperature', 'type': 'number'},\n",
-      "           {'name': 'wind', 'type': 'number'},\n",
-      "           {'name': 'precipitation', 'type': 'number'}],\n",
-      " 'number_rows': 100,\n",
-      " 'view': [{'mark': [{'encoding': [{'channel': 'x', 'field': 'temperature'},\n",
-      "                                  {'channel': 'y', 'field': 'wind'},\n",
-      "                                  {'channel': 'size',\n",
-      "                                   'field': 'precipitation'}],\n",
-      "                     'type': 'point'}],\n",
-      "           'scale': [{'channel': 'x', 'type': 'linear'},\n",
-      "                     {'channel': 'y', 'type': 'linear'},\n",
-      "                     {'channel': 'size', 'type': 'linear'}]}]}\n"
-     ]
-    }
-   ],
-   "source": [
-    "facts = [\n",
-    "    \"attribute(number_rows,root,100).\",\n",
-    "    \"entity(field,root,temperature).\",\n",
-    "    \"attribute((field,name),temperature,temperature).\",\n",
-    "    \"attribute((field,type),temperature,number).\",\n",
-    "    \"entity(field,root,wind).\",\n",
-    "    \"attribute((field,name),wind,wind).\",\n",
-    "    \"attribute((field,type),wind,number).\",\n",
-    "    \"entity(field,root,precipitation).\",\n",
-    "    \"attribute((field,name),precipitation,precipitation).\",\n",
-    "    \"attribute((field,type),precipitation,number).\",\n",
-    "    \"entity(view,root,0).\",\n",
-    "    \"entity(mark,0,1).\",\n",
-    "    \"attribute((mark,type),1,point).\",\n",
-    "    \"entity(encoding,1,2).\",\n",
-    "    \"attribute((encoding,channel),2,x).\",\n",
-    "    \"attribute((encoding,field),2,temperature).\",\n",
-    "    \"entity(encoding,1,3).\",\n",
-    "    \"attribute((encoding,channel),3,y).\",\n",
-    "    \"attribute((encoding,field),3,wind).\",\n",
-    "    \"entity(encoding,1,4).\",\n",
-    "    \"attribute((encoding,channel),4,size).\",\n",
-    "    \"attribute((encoding,field),4,precipitation).\",\n",
-    "    \"entity(scale,0,5).\",\n",
-    "    \"attribute((scale,channel),5,x).\",\n",
-    "    \"attribute((scale,type),5,linear).\",\n",
-    "    \"entity(scale,0,6).\",\n",
-    "    \"attribute((scale,channel),6,y).\",\n",
-    "    \"attribute((scale,type),6,linear).\",\n",
-    "    \"entity(scale,0,7).\",\n",
-    "    \"attribute((scale,channel),7,size).\",\n",
-    "    \"attribute((scale,type),7,linear).\",\n",
-    "]\n",
-    "spec = facts_to_dict(facts)\n",
-    "pprint(spec)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### Bubble Chart"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 23,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "{'$schema': 'https://vega.github.io/schema/vega-lite/v4.17.0.json',\n",
-      " 'config': {'view': {'continuousHeight': 300, 'continuousWidth': 400}},\n",
-      " 'encoding': {'size': {'field': 'precipitation',\n",
-      "                       'scale': {'type': 'linear'},\n",
-      "                       'type': 'quantitative'},\n",
-      "              'x': {'field': 'temperature',\n",
-      "                    'scale': {'type': 'linear'},\n",
-      "                    'type': 'quantitative'},\n",
-      "              'y': {'field': 'wind',\n",
-      "                    'scale': {'type': 'linear'},\n",
-      "                    'type': 'quantitative'}},\n",
-      " 'mark': 'point'}\n"
-     ]
-    },
-    {
-     "data": {
-      "text/html": [
-       "\n",
-       "<div id=\"altair-viz-de5073febaf9418b85be790adfc43747\"></div>\n",
-       "<script type=\"text/javascript\">\n",
-       "  var VEGA_DEBUG = (typeof VEGA_DEBUG == \"undefined\") ? {} : VEGA_DEBUG;\n",
-       "  (function(spec, embedOpt){\n",
-       "    let outputDiv = document.currentScript.previousElementSibling;\n",
-       "    if (outputDiv.id !== \"altair-viz-de5073febaf9418b85be790adfc43747\") {\n",
-       "      outputDiv = document.getElementById(\"altair-viz-de5073febaf9418b85be790adfc43747\");\n",
-       "    }\n",
-       "    const paths = {\n",
-       "      \"vega\": \"https://cdn.jsdelivr.net/npm//vega@5?noext\",\n",
-       "      \"vega-lib\": \"https://cdn.jsdelivr.net/npm//vega-lib?noext\",\n",
-       "      \"vega-lite\": \"https://cdn.jsdelivr.net/npm//vega-lite@4.17.0?noext\",\n",
-       "      \"vega-embed\": \"https://cdn.jsdelivr.net/npm//vega-embed@6?noext\",\n",
-       "    };\n",
-       "\n",
-       "    function maybeLoadScript(lib, version) {\n",
-       "      var key = `${lib.replace(\"-\", \"\")}_version`;\n",
-       "      return (VEGA_DEBUG[key] == version) ?\n",
-       "        Promise.resolve(paths[lib]) :\n",
-       "        new Promise(function(resolve, reject) {\n",
-       "          var s = document.createElement('script');\n",
-       "          document.getElementsByTagName(\"head\")[0].appendChild(s);\n",
-       "          s.async = true;\n",
-       "          s.onload = () => {\n",
-       "            VEGA_DEBUG[key] = version;\n",
-       "            return resolve(paths[lib]);\n",
-       "          };\n",
-       "          s.onerror = () => reject(`Error loading script: ${paths[lib]}`);\n",
-       "          s.src = paths[lib];\n",
-       "        });\n",
-       "    }\n",
-       "\n",
-       "    function showError(err) {\n",
-       "      outputDiv.innerHTML = `<div class=\"error\" style=\"color:red;\">${err}</div>`;\n",
-       "      throw err;\n",
-       "    }\n",
-       "\n",
-       "    function displayChart(vegaEmbed) {\n",
-       "      vegaEmbed(outputDiv, spec, embedOpt)\n",
-       "        .catch(err => showError(`Javascript Error: ${err.message}<br>This usually means there's a typo in your chart specification. See the javascript console for the full traceback.`));\n",
-       "    }\n",
-       "\n",
-       "    if(typeof define === \"function\" && define.amd) {\n",
-       "      requirejs.config({paths});\n",
-       "      require([\"vega-embed\"], displayChart, err => showError(`Error loading script: ${err.message}`));\n",
-       "    } else {\n",
-       "      maybeLoadScript(\"vega\", \"5\")\n",
-       "        .then(() => maybeLoadScript(\"vega-lite\", \"4.17.0\"))\n",
-       "        .then(() => maybeLoadScript(\"vega-embed\", \"6\"))\n",
-       "        .catch(showError)\n",
-       "        .then(() => displayChart(vegaEmbed));\n",
-       "    }\n",
-       "  })({\"config\": {\"view\": {\"continuousWidth\": 400, \"continuousHeight\": 300}}, \"data\": {\"name\": \"data-124c435c1b687eb7890344117a1c86b4\"}, \"mark\": \"point\", \"encoding\": {\"size\": {\"field\": \"precipitation\", \"scale\": {\"type\": \"linear\"}, \"type\": \"quantitative\"}, \"x\": {\"field\": \"temperature\", \"scale\": {\"type\": \"linear\"}, \"type\": \"quantitative\"}, \"y\": {\"field\": \"wind\", \"scale\": {\"type\": \"linear\"}, \"type\": \"quantitative\"}}, \"$schema\": \"https://vega.github.io/schema/vega-lite/v4.17.0.json\", \"datasets\": {\"data-124c435c1b687eb7890344117a1c86b4\": [{\"temperature\": 17.89365303788651, \"wind\": 78.75685633883592, \"precipitation\": 41.61124606702779, \"condition\": \"rain\"}, {\"temperature\": 5.622818441769336, \"wind\": 25.421998841055917, \"precipitation\": 74.90555083684964, \"condition\": \"rain\"}, {\"temperature\": 23.3902094090436, \"wind\": 9.846103163487696, \"precipitation\": 81.33536438710783, \"condition\": \"rain\"}, {\"temperature\": 20.889554427248395, \"wind\": 27.53521295661492, \"precipitation\": 27.6549324712597, \"condition\": \"drizzle\"}, {\"temperature\": 33.91026207788065, \"wind\": 97.91032820138525, \"precipitation\": 36.53494267552425, \"condition\": \"snow\"}, {\"temperature\": 39.65611406756084, \"wind\": 24.27383951799732, \"precipitation\": 33.38647147375286, \"condition\": \"rain\"}, {\"temperature\": 5.670659801967243, \"wind\": 98.20197823012846, \"precipitation\": 93.72832557739356, \"condition\": \"snow\"}, {\"temperature\": -2.2776070811204505, \"wind\": 77.90443786588797, \"precipitation\": 50.102310147035375, \"condition\": \"drizzle\"}, {\"temperature\": 43.104548648992775, \"wind\": 74.77698982401796, \"precipitation\": 89.95647852559429, \"condition\": \"sun\"}, {\"temperature\": 1.8049661385207525, \"wind\": 91.29152261118769, \"precipitation\": 29.77145087552332, \"condition\": \"fog\"}, {\"temperature\": 14.327115187571408, \"wind\": 45.054261048821296, \"precipitation\": 17.654846400296798, \"condition\": \"drizzle\"}, {\"temperature\": 25.44797791508993, \"wind\": 22.265267642454656, \"precipitation\": 60.37929677885421, \"condition\": \"drizzle\"}, {\"temperature\": 11.19016835531465, \"wind\": 77.30294308487814, \"precipitation\": 71.65443847888368, \"condition\": \"snow\"}, {\"temperature\": 22.948827407585433, \"wind\": 27.03785915458824, \"precipitation\": 92.68901140573688, \"condition\": \"snow\"}, {\"temperature\": 33.16555388154543, \"wind\": 92.1292103045794, \"precipitation\": 39.10838647644195, \"condition\": \"snow\"}, {\"temperature\": 9.981393546660723, \"wind\": 66.73004528306666, \"precipitation\": 19.36957583451713, \"condition\": \"drizzle\"}, {\"temperature\": 2.837559858993796, \"wind\": 18.62443662393004, \"precipitation\": 57.42273968155751, \"condition\": \"sun\"}, {\"temperature\": 39.14290590745285, \"wind\": 32.52859013259527, \"precipitation\": 88.21897530715309, \"condition\": \"rain\"}, {\"temperature\": 39.2325438266719, \"wind\": 2.511353474345024, \"precipitation\": 78.95158173752907, \"condition\": \"fog\"}, {\"temperature\": 2.949456835649645, \"wind\": 1.9370157264502197, \"precipitation\": 3.5337114891518584, \"condition\": \"fog\"}, {\"temperature\": 28.422917308067277, \"wind\": 6.822434636914776, \"precipitation\": 84.5655158038795, \"condition\": \"fog\"}, {\"temperature\": 28.406344711783838, \"wind\": 95.25216996998444, \"precipitation\": 2.312429289727791, \"condition\": \"fog\"}, {\"temperature\": 23.929825809705775, \"wind\": 28.441727967722407, \"precipitation\": 94.94371547195382, \"condition\": \"drizzle\"}, {\"temperature\": 25.144603850494207, \"wind\": 5.7248518372133965, \"precipitation\": 72.55961327284773, \"condition\": \"drizzle\"}, {\"temperature\": -3.1069016270510676, \"wind\": 90.56068308052812, \"precipitation\": 8.208347981870512, \"condition\": \"rain\"}, {\"temperature\": 43.07443333444708, \"wind\": 63.33777651825151, \"precipitation\": 35.343598004733714, \"condition\": \"sun\"}, {\"temperature\": -8.715631484900875, \"wind\": 78.50049089036061, \"precipitation\": 16.726772866900042, \"condition\": \"fog\"}, {\"temperature\": 10.058625587365142, \"wind\": 82.55410159133031, \"precipitation\": 49.82193593499935, \"condition\": \"fog\"}, {\"temperature\": 27.912341883718938, \"wind\": 45.94389098129158, \"precipitation\": 87.71806691348185, \"condition\": \"sun\"}, {\"temperature\": 28.827008981675903, \"wind\": 14.352645600160752, \"precipitation\": 95.30777240838884, \"condition\": \"sun\"}, {\"temperature\": -5.245472855196331, \"wind\": 24.463633090927274, \"precipitation\": 63.1630488725617, \"condition\": \"fog\"}, {\"temperature\": -4.738627417736829, \"wind\": 87.61779675788263, \"precipitation\": 67.17488470646667, \"condition\": \"fog\"}, {\"temperature\": -1.6463371096382655, \"wind\": 34.15953757649686, \"precipitation\": 83.20021064524306, \"condition\": \"rain\"}, {\"temperature\": -8.671469939339552, \"wind\": 28.02148157701091, \"precipitation\": 8.858286414027772, \"condition\": \"snow\"}, {\"temperature\": 23.586980668182306, \"wind\": 32.61177727202879, \"precipitation\": 90.55384722692395, \"condition\": \"snow\"}, {\"temperature\": 42.93552301196303, \"wind\": 17.459007963452034, \"precipitation\": 76.26693620563219, \"condition\": \"sun\"}, {\"temperature\": 14.04271616398174, \"wind\": 31.44611970670743, \"precipitation\": 27.736449442339893, \"condition\": \"rain\"}, {\"temperature\": 33.93136729382773, \"wind\": 85.0980112392488, \"precipitation\": 48.72266227519502, \"condition\": \"fog\"}, {\"temperature\": 29.10713627050935, \"wind\": 25.401508775422734, \"precipitation\": 83.25120184383715, \"condition\": \"fog\"}, {\"temperature\": 23.33130010979005, \"wind\": 38.960479467358745, \"precipitation\": 84.8094568801428, \"condition\": \"rain\"}, {\"temperature\": 27.820447049966695, \"wind\": 97.47611794506456, \"precipitation\": 59.404606053602336, \"condition\": \"fog\"}, {\"temperature\": 24.704809156505995, \"wind\": 56.929461372432655, \"precipitation\": 16.583726619344496, \"condition\": \"drizzle\"}, {\"temperature\": 42.73839675123029, \"wind\": 19.024929246369528, \"precipitation\": 37.515692671204135, \"condition\": \"sun\"}, {\"temperature\": 39.73480992464111, \"wind\": 63.10268501376382, \"precipitation\": 15.20512544845365, \"condition\": \"fog\"}, {\"temperature\": 34.928857478491054, \"wind\": 44.34437827092474, \"precipitation\": 2.9919970218495684, \"condition\": \"sun\"}, {\"temperature\": 12.475457440238529, \"wind\": 45.63508245761745, \"precipitation\": 1.5684442569828705, \"condition\": \"fog\"}, {\"temperature\": 11.485742656702111, \"wind\": 35.43011450755876, \"precipitation\": 46.843314320146966, \"condition\": \"fog\"}, {\"temperature\": 16.58332024159822, \"wind\": 85.9387003246595, \"precipitation\": 67.67417859666371, \"condition\": \"sun\"}, {\"temperature\": 42.96961504747511, \"wind\": 61.02100908610409, \"precipitation\": 40.19537213295094, \"condition\": \"snow\"}, {\"temperature\": 43.01306682260888, \"wind\": 91.58796490357004, \"precipitation\": 10.242970289225461, \"condition\": \"sun\"}, {\"temperature\": 17.888206090116245, \"wind\": 29.82373325722851, \"precipitation\": 44.29455934969246, \"condition\": \"sun\"}, {\"temperature\": 13.700882757230424, \"wind\": 46.93705512034313, \"precipitation\": 76.07676796446637, \"condition\": \"rain\"}, {\"temperature\": 4.986331720563626, \"wind\": 81.90760931416689, \"precipitation\": 34.892239668746406, \"condition\": \"drizzle\"}, {\"temperature\": -1.4778346288931683, \"wind\": 3.9791854357363987, \"precipitation\": 7.535152538482148, \"condition\": \"drizzle\"}, {\"temperature\": 16.892161248783623, \"wind\": 31.993361074291926, \"precipitation\": 60.46401934620111, \"condition\": \"drizzle\"}, {\"temperature\": -7.17506030059671, \"wind\": 5.042336185555952, \"precipitation\": 88.35922403405787, \"condition\": \"drizzle\"}, {\"temperature\": 9.85908134441586, \"wind\": 48.491362316119236, \"precipitation\": 23.80248472573617, \"condition\": \"snow\"}, {\"temperature\": 28.54368725395195, \"wind\": 5.72748587709313, \"precipitation\": 25.974359374267742, \"condition\": \"drizzle\"}, {\"temperature\": 41.85044222939622, \"wind\": 3.311333417116047, \"precipitation\": 1.7918023488591839, \"condition\": \"snow\"}, {\"temperature\": 39.51847585775124, \"wind\": 89.64939452111453, \"precipitation\": 48.53950512768904, \"condition\": \"fog\"}, {\"temperature\": 4.1511791382858725, \"wind\": 58.14172937556887, \"precipitation\": 79.66452798481971, \"condition\": \"drizzle\"}, {\"temperature\": 7.316849144326355, \"wind\": 6.796864846855866, \"precipitation\": 33.619090549629306, \"condition\": \"snow\"}, {\"temperature\": -6.040726652488083, \"wind\": 24.37214720554359, \"precipitation\": 71.46568853073089, \"condition\": \"rain\"}, {\"temperature\": 28.05026452008928, \"wind\": 19.39989397387041, \"precipitation\": 71.68725771245654, \"condition\": \"drizzle\"}, {\"temperature\": 35.30623993317926, \"wind\": 66.54091843981752, \"precipitation\": 22.884049790672588, \"condition\": \"rain\"}, {\"temperature\": -9.078168118751755, \"wind\": 54.53321547753263, \"precipitation\": 66.43449936744369, \"condition\": \"sun\"}, {\"temperature\": 34.31111609068961, \"wind\": 92.79899053872957, \"precipitation\": 61.9431928594434, \"condition\": \"sun\"}, {\"temperature\": -0.5340863902706268, \"wind\": 89.18484464889846, \"precipitation\": 88.49655552922172, \"condition\": \"rain\"}, {\"temperature\": -7.331283732097262, \"wind\": 16.43300088620039, \"precipitation\": 92.15523633598885, \"condition\": \"drizzle\"}, {\"temperature\": 34.4512940591614, \"wind\": 16.982566694713043, \"precipitation\": 66.50391898652623, \"condition\": \"fog\"}, {\"temperature\": 2.292195972387347, \"wind\": 78.07758659490037, \"precipitation\": 85.08941323813521, \"condition\": \"snow\"}, {\"temperature\": 10.280188069701488, \"wind\": 64.37598506985243, \"precipitation\": 46.13428294966927, \"condition\": \"sun\"}, {\"temperature\": 14.385637791164196, \"wind\": 27.710246014732775, \"precipitation\": 82.18132103083111, \"condition\": \"rain\"}, {\"temperature\": 15.068929930658907, \"wind\": 90.37313777532859, \"precipitation\": 95.42688091272505, \"condition\": \"rain\"}, {\"temperature\": -5.931704200276687, \"wind\": 76.30697305192514, \"precipitation\": 48.17926018036856, \"condition\": \"drizzle\"}, {\"temperature\": -1.2238906425326128, \"wind\": 77.25655113115953, \"precipitation\": 12.189057445370022, \"condition\": \"sun\"}, {\"temperature\": 17.981273164150583, \"wind\": 99.8855194023956, \"precipitation\": 5.951490853046981, \"condition\": \"drizzle\"}, {\"temperature\": 8.333054222089164, \"wind\": 22.351144710727677, \"precipitation\": 1.9907985646430038, \"condition\": \"rain\"}, {\"temperature\": 40.99117292213711, \"wind\": 12.537186007473021, \"precipitation\": 3.0957134444521195, \"condition\": \"drizzle\"}, {\"temperature\": 36.29560583814439, \"wind\": 47.282861379528676, \"precipitation\": 50.72175472263106, \"condition\": \"fog\"}, {\"temperature\": 8.011942225789358, \"wind\": 80.64679426688298, \"precipitation\": 84.74031260132877, \"condition\": \"sun\"}, {\"temperature\": 32.64189921238727, \"wind\": 78.38867921926278, \"precipitation\": 94.27015659699374, \"condition\": \"fog\"}, {\"temperature\": -4.159829210634211, \"wind\": 53.39060475873939, \"precipitation\": 50.60795287404672, \"condition\": \"fog\"}, {\"temperature\": -6.602296737522483, \"wind\": 86.55899134629715, \"precipitation\": 62.64697378600636, \"condition\": \"fog\"}, {\"temperature\": 40.135239145180655, \"wind\": 16.633704419495032, \"precipitation\": 41.391087682479736, \"condition\": \"drizzle\"}, {\"temperature\": 26.95881305440288, \"wind\": 85.8809786017975, \"precipitation\": 71.9617762842435, \"condition\": \"drizzle\"}, {\"temperature\": 11.92991543604046, \"wind\": 76.39140196294017, \"precipitation\": 60.40612399492309, \"condition\": \"drizzle\"}, {\"temperature\": 19.566301202766702, \"wind\": 72.97802286558691, \"precipitation\": 29.681848692175006, \"condition\": \"drizzle\"}, {\"temperature\": 10.481864045771506, \"wind\": 10.269367839292642, \"precipitation\": 85.87287289024248, \"condition\": \"rain\"}, {\"temperature\": -9.620152753805623, \"wind\": 64.57630699894213, \"precipitation\": 29.06583641537993, \"condition\": \"drizzle\"}, {\"temperature\": 24.85823346816882, \"wind\": 64.44200648973889, \"precipitation\": 32.79358601401415, \"condition\": \"sun\"}, {\"temperature\": -9.71401231081625, \"wind\": 46.94482107365025, \"precipitation\": 71.95828763550503, \"condition\": \"rain\"}, {\"temperature\": 15.802582568794556, \"wind\": 5.568264782160037, \"precipitation\": 16.50277435360922, \"condition\": \"sun\"}, {\"temperature\": 29.44740698845427, \"wind\": 66.4224540835048, \"precipitation\": 96.91347272575433, \"condition\": \"snow\"}, {\"temperature\": 0.1789559651072139, \"wind\": 37.144396583281235, \"precipitation\": 7.3927878065009445, \"condition\": \"snow\"}, {\"temperature\": 37.90262114384076, \"wind\": 23.744567572534315, \"precipitation\": 85.44013318397162, \"condition\": \"fog\"}, {\"temperature\": 40.40503203411964, \"wind\": 71.68155336881077, \"precipitation\": 91.260802513042, \"condition\": \"snow\"}, {\"temperature\": 2.723433474361908, \"wind\": 5.85694236985378, \"precipitation\": 54.0295184169758, \"condition\": \"drizzle\"}, {\"temperature\": 9.452609321039336, \"wind\": 52.7843932253772, \"precipitation\": 90.04450333194686, \"condition\": \"fog\"}, {\"temperature\": 18.909153974667404, \"wind\": 13.725377509230263, \"precipitation\": 34.56974350594094, \"condition\": \"sun\"}]}}, {\"mode\": \"vega-lite\"});\n",
-       "</script>"
-      ],
-      "text/plain": [
-       "alt.Chart(...)"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "base = alt.Chart(df)\n",
-    "point = base.mark_point().encode(\n",
-    "    x=alt.X(field=\"temperature\", type=\"quantitative\", scale=alt.Scale(type=\"linear\")),\n",
-    "    y=alt.Y(field=\"wind\", type=\"quantitative\", scale=alt.Scale(type=\"linear\")),\n",
-    "    size=alt.Size(\n",
-    "        field=\"precipitation\", type=\"quantitative\", scale=alt.Scale(type=\"linear\")\n",
-    "    ),\n",
-    ")\n",
-    "display_chart(point)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Stacked Charts"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### Pie Chart"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 24,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "{'field': [{'name': 'temperature', 'type': 'number'},\n",
-      "           {'name': 'condition', 'type': 'string'}],\n",
-      " 'number_rows': 100,\n",
-      " 'view': [{'coordinates': 'polar',\n",
-      "           'mark': [{'encoding': [{'aggregate': 'count',\n",
-      "                                   'channel': 'y',\n",
-      "                                   'stack': 'zero'},\n",
-      "                                  {'channel': 'color', 'field': 'condition'}],\n",
-      "                     'type': 'bar'}],\n",
-      "           'scale': [{'channel': 'y', 'type': 'linear', 'zero': 'true'},\n",
-      "                     {'channel': 'color', 'type': 'categorical'}]}]}\n"
-     ]
-    }
-   ],
-   "source": [
-    "facts = [\n",
-    "    \"attribute(number_rows,root,100).\",\n",
-    "    \"entity(field,root,temperature).\",\n",
-    "    \"attribute((field,name),temperature,temperature).\",\n",
-    "    \"attribute((field,type),temperature,number).\",\n",
-    "    \"entity(field,root,condition).\",\n",
-    "    \"attribute((field,name),condition,condition).\",\n",
-    "    \"attribute((field,type),condition,string).\",\n",
-    "    \"entity(view,root,0).\",\n",
-    "    \"attribute((view,coordinates),0,polar).\",\n",
-    "    \"entity(mark,0,1).\",\n",
-    "    \"attribute((mark,type),1,bar).\",\n",
-    "    \"entity(encoding,1,2).\",\n",
-    "    \"attribute((encoding,channel),2,y).\",\n",
-    "    \"attribute((encoding,aggregate),2,count).\",\n",
-    "    \"attribute((encoding,stack),2,zero).\",\n",
-    "    \"entity(encoding,1,3).\",\n",
-    "    \"attribute((encoding,channel),3,color).\",\n",
-    "    \"attribute((encoding,field),3,condition).\",\n",
-    "    \"entity(scale,0,4).\",\n",
-    "    \"attribute((scale,channel),4,y).\",\n",
-    "    \"attribute((scale,type),4,linear).\",\n",
-    "    \"attribute((scale,zero),4,true).\",\n",
-    "    \"entity(scale,0,5).\",\n",
-    "    \"attribute((scale,channel),5,color).\",\n",
-    "    \"attribute((scale,type),5,categorical).\",\n",
-    "]\n",
-    "spec = facts_to_dict(facts)\n",
-    "pprint(spec)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 25,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "{'$schema': 'https://vega.github.io/schema/vega-lite/v4.17.0.json',\n",
-      " 'config': {'view': {'continuousHeight': 300, 'continuousWidth': 400}},\n",
-      " 'encoding': {'color': {'field': 'condition',\n",
-      "                        'scale': {'type': 'ordinal'},\n",
-      "                        'type': 'nominal'},\n",
-      "              'theta': {'aggregate': 'count',\n",
-      "                        'field': 'temperature',\n",
-      "                        'scale': {'type': 'linear', 'zero': True},\n",
-      "                        'stack': 'zero',\n",
-      "                        'type': 'quantitative'}},\n",
-      " 'mark': 'arc'}\n"
-     ]
-    },
-    {
-     "data": {
-      "text/html": [
-       "\n",
-       "<div id=\"altair-viz-9484947c91d946a78fb71ea822f817da\"></div>\n",
-       "<script type=\"text/javascript\">\n",
-       "  var VEGA_DEBUG = (typeof VEGA_DEBUG == \"undefined\") ? {} : VEGA_DEBUG;\n",
-       "  (function(spec, embedOpt){\n",
-       "    let outputDiv = document.currentScript.previousElementSibling;\n",
-       "    if (outputDiv.id !== \"altair-viz-9484947c91d946a78fb71ea822f817da\") {\n",
-       "      outputDiv = document.getElementById(\"altair-viz-9484947c91d946a78fb71ea822f817da\");\n",
-       "    }\n",
-       "    const paths = {\n",
-       "      \"vega\": \"https://cdn.jsdelivr.net/npm//vega@5?noext\",\n",
-       "      \"vega-lib\": \"https://cdn.jsdelivr.net/npm//vega-lib?noext\",\n",
-       "      \"vega-lite\": \"https://cdn.jsdelivr.net/npm//vega-lite@4.17.0?noext\",\n",
-       "      \"vega-embed\": \"https://cdn.jsdelivr.net/npm//vega-embed@6?noext\",\n",
-       "    };\n",
-       "\n",
-       "    function maybeLoadScript(lib, version) {\n",
-       "      var key = `${lib.replace(\"-\", \"\")}_version`;\n",
-       "      return (VEGA_DEBUG[key] == version) ?\n",
-       "        Promise.resolve(paths[lib]) :\n",
-       "        new Promise(function(resolve, reject) {\n",
-       "          var s = document.createElement('script');\n",
-       "          document.getElementsByTagName(\"head\")[0].appendChild(s);\n",
-       "          s.async = true;\n",
-       "          s.onload = () => {\n",
-       "            VEGA_DEBUG[key] = version;\n",
-       "            return resolve(paths[lib]);\n",
-       "          };\n",
-       "          s.onerror = () => reject(`Error loading script: ${paths[lib]}`);\n",
-       "          s.src = paths[lib];\n",
-       "        });\n",
-       "    }\n",
-       "\n",
-       "    function showError(err) {\n",
-       "      outputDiv.innerHTML = `<div class=\"error\" style=\"color:red;\">${err}</div>`;\n",
-       "      throw err;\n",
-       "    }\n",
-       "\n",
-       "    function displayChart(vegaEmbed) {\n",
-       "      vegaEmbed(outputDiv, spec, embedOpt)\n",
-       "        .catch(err => showError(`Javascript Error: ${err.message}<br>This usually means there's a typo in your chart specification. See the javascript console for the full traceback.`));\n",
-       "    }\n",
-       "\n",
-       "    if(typeof define === \"function\" && define.amd) {\n",
-       "      requirejs.config({paths});\n",
-       "      require([\"vega-embed\"], displayChart, err => showError(`Error loading script: ${err.message}`));\n",
-       "    } else {\n",
-       "      maybeLoadScript(\"vega\", \"5\")\n",
-       "        .then(() => maybeLoadScript(\"vega-lite\", \"4.17.0\"))\n",
-       "        .then(() => maybeLoadScript(\"vega-embed\", \"6\"))\n",
-       "        .catch(showError)\n",
-       "        .then(() => displayChart(vegaEmbed));\n",
-       "    }\n",
-       "  })({\"config\": {\"view\": {\"continuousWidth\": 400, \"continuousHeight\": 300}}, \"data\": {\"name\": \"data-124c435c1b687eb7890344117a1c86b4\"}, \"mark\": \"arc\", \"encoding\": {\"color\": {\"field\": \"condition\", \"scale\": {\"type\": \"ordinal\"}, \"type\": \"nominal\"}, \"theta\": {\"aggregate\": \"count\", \"field\": \"temperature\", \"scale\": {\"type\": \"linear\", \"zero\": true}, \"stack\": \"zero\", \"type\": \"quantitative\"}}, \"$schema\": \"https://vega.github.io/schema/vega-lite/v4.17.0.json\", \"datasets\": {\"data-124c435c1b687eb7890344117a1c86b4\": [{\"temperature\": 17.89365303788651, \"wind\": 78.75685633883592, \"precipitation\": 41.61124606702779, \"condition\": \"rain\"}, {\"temperature\": 5.622818441769336, \"wind\": 25.421998841055917, \"precipitation\": 74.90555083684964, \"condition\": \"rain\"}, {\"temperature\": 23.3902094090436, \"wind\": 9.846103163487696, \"precipitation\": 81.33536438710783, \"condition\": \"rain\"}, {\"temperature\": 20.889554427248395, \"wind\": 27.53521295661492, \"precipitation\": 27.6549324712597, \"condition\": \"drizzle\"}, {\"temperature\": 33.91026207788065, \"wind\": 97.91032820138525, \"precipitation\": 36.53494267552425, \"condition\": \"snow\"}, {\"temperature\": 39.65611406756084, \"wind\": 24.27383951799732, \"precipitation\": 33.38647147375286, \"condition\": \"rain\"}, {\"temperature\": 5.670659801967243, \"wind\": 98.20197823012846, \"precipitation\": 93.72832557739356, \"condition\": \"snow\"}, {\"temperature\": -2.2776070811204505, \"wind\": 77.90443786588797, \"precipitation\": 50.102310147035375, \"condition\": \"drizzle\"}, {\"temperature\": 43.104548648992775, \"wind\": 74.77698982401796, \"precipitation\": 89.95647852559429, \"condition\": \"sun\"}, {\"temperature\": 1.8049661385207525, \"wind\": 91.29152261118769, \"precipitation\": 29.77145087552332, \"condition\": \"fog\"}, {\"temperature\": 14.327115187571408, \"wind\": 45.054261048821296, \"precipitation\": 17.654846400296798, \"condition\": \"drizzle\"}, {\"temperature\": 25.44797791508993, \"wind\": 22.265267642454656, \"precipitation\": 60.37929677885421, \"condition\": \"drizzle\"}, {\"temperature\": 11.19016835531465, \"wind\": 77.30294308487814, \"precipitation\": 71.65443847888368, \"condition\": \"snow\"}, {\"temperature\": 22.948827407585433, \"wind\": 27.03785915458824, \"precipitation\": 92.68901140573688, \"condition\": \"snow\"}, {\"temperature\": 33.16555388154543, \"wind\": 92.1292103045794, \"precipitation\": 39.10838647644195, \"condition\": \"snow\"}, {\"temperature\": 9.981393546660723, \"wind\": 66.73004528306666, \"precipitation\": 19.36957583451713, \"condition\": \"drizzle\"}, {\"temperature\": 2.837559858993796, \"wind\": 18.62443662393004, \"precipitation\": 57.42273968155751, \"condition\": \"sun\"}, {\"temperature\": 39.14290590745285, \"wind\": 32.52859013259527, \"precipitation\": 88.21897530715309, \"condition\": \"rain\"}, {\"temperature\": 39.2325438266719, \"wind\": 2.511353474345024, \"precipitation\": 78.95158173752907, \"condition\": \"fog\"}, {\"temperature\": 2.949456835649645, \"wind\": 1.9370157264502197, \"precipitation\": 3.5337114891518584, \"condition\": \"fog\"}, {\"temperature\": 28.422917308067277, \"wind\": 6.822434636914776, \"precipitation\": 84.5655158038795, \"condition\": \"fog\"}, {\"temperature\": 28.406344711783838, \"wind\": 95.25216996998444, \"precipitation\": 2.312429289727791, \"condition\": \"fog\"}, {\"temperature\": 23.929825809705775, \"wind\": 28.441727967722407, \"precipitation\": 94.94371547195382, \"condition\": \"drizzle\"}, {\"temperature\": 25.144603850494207, \"wind\": 5.7248518372133965, \"precipitation\": 72.55961327284773, \"condition\": \"drizzle\"}, {\"temperature\": -3.1069016270510676, \"wind\": 90.56068308052812, \"precipitation\": 8.208347981870512, \"condition\": \"rain\"}, {\"temperature\": 43.07443333444708, \"wind\": 63.33777651825151, \"precipitation\": 35.343598004733714, \"condition\": \"sun\"}, {\"temperature\": -8.715631484900875, \"wind\": 78.50049089036061, \"precipitation\": 16.726772866900042, \"condition\": \"fog\"}, {\"temperature\": 10.058625587365142, \"wind\": 82.55410159133031, \"precipitation\": 49.82193593499935, \"condition\": \"fog\"}, {\"temperature\": 27.912341883718938, \"wind\": 45.94389098129158, \"precipitation\": 87.71806691348185, \"condition\": \"sun\"}, {\"temperature\": 28.827008981675903, \"wind\": 14.352645600160752, \"precipitation\": 95.30777240838884, \"condition\": \"sun\"}, {\"temperature\": -5.245472855196331, \"wind\": 24.463633090927274, \"precipitation\": 63.1630488725617, \"condition\": \"fog\"}, {\"temperature\": -4.738627417736829, \"wind\": 87.61779675788263, \"precipitation\": 67.17488470646667, \"condition\": \"fog\"}, {\"temperature\": -1.6463371096382655, \"wind\": 34.15953757649686, \"precipitation\": 83.20021064524306, \"condition\": \"rain\"}, {\"temperature\": -8.671469939339552, \"wind\": 28.02148157701091, \"precipitation\": 8.858286414027772, \"condition\": \"snow\"}, {\"temperature\": 23.586980668182306, \"wind\": 32.61177727202879, \"precipitation\": 90.55384722692395, \"condition\": \"snow\"}, {\"temperature\": 42.93552301196303, \"wind\": 17.459007963452034, \"precipitation\": 76.26693620563219, \"condition\": \"sun\"}, {\"temperature\": 14.04271616398174, \"wind\": 31.44611970670743, \"precipitation\": 27.736449442339893, \"condition\": \"rain\"}, {\"temperature\": 33.93136729382773, \"wind\": 85.0980112392488, \"precipitation\": 48.72266227519502, \"condition\": \"fog\"}, {\"temperature\": 29.10713627050935, \"wind\": 25.401508775422734, \"precipitation\": 83.25120184383715, \"condition\": \"fog\"}, {\"temperature\": 23.33130010979005, \"wind\": 38.960479467358745, \"precipitation\": 84.8094568801428, \"condition\": \"rain\"}, {\"temperature\": 27.820447049966695, \"wind\": 97.47611794506456, \"precipitation\": 59.404606053602336, \"condition\": \"fog\"}, {\"temperature\": 24.704809156505995, \"wind\": 56.929461372432655, \"precipitation\": 16.583726619344496, \"condition\": \"drizzle\"}, {\"temperature\": 42.73839675123029, \"wind\": 19.024929246369528, \"precipitation\": 37.515692671204135, \"condition\": \"sun\"}, {\"temperature\": 39.73480992464111, \"wind\": 63.10268501376382, \"precipitation\": 15.20512544845365, \"condition\": \"fog\"}, {\"temperature\": 34.928857478491054, \"wind\": 44.34437827092474, \"precipitation\": 2.9919970218495684, \"condition\": \"sun\"}, {\"temperature\": 12.475457440238529, \"wind\": 45.63508245761745, \"precipitation\": 1.5684442569828705, \"condition\": \"fog\"}, {\"temperature\": 11.485742656702111, \"wind\": 35.43011450755876, \"precipitation\": 46.843314320146966, \"condition\": \"fog\"}, {\"temperature\": 16.58332024159822, \"wind\": 85.9387003246595, \"precipitation\": 67.67417859666371, \"condition\": \"sun\"}, {\"temperature\": 42.96961504747511, \"wind\": 61.02100908610409, \"precipitation\": 40.19537213295094, \"condition\": \"snow\"}, {\"temperature\": 43.01306682260888, \"wind\": 91.58796490357004, \"precipitation\": 10.242970289225461, \"condition\": \"sun\"}, {\"temperature\": 17.888206090116245, \"wind\": 29.82373325722851, \"precipitation\": 44.29455934969246, \"condition\": \"sun\"}, {\"temperature\": 13.700882757230424, \"wind\": 46.93705512034313, \"precipitation\": 76.07676796446637, \"condition\": \"rain\"}, {\"temperature\": 4.986331720563626, \"wind\": 81.90760931416689, \"precipitation\": 34.892239668746406, \"condition\": \"drizzle\"}, {\"temperature\": -1.4778346288931683, \"wind\": 3.9791854357363987, \"precipitation\": 7.535152538482148, \"condition\": \"drizzle\"}, {\"temperature\": 16.892161248783623, \"wind\": 31.993361074291926, \"precipitation\": 60.46401934620111, \"condition\": \"drizzle\"}, {\"temperature\": -7.17506030059671, \"wind\": 5.042336185555952, \"precipitation\": 88.35922403405787, \"condition\": \"drizzle\"}, {\"temperature\": 9.85908134441586, \"wind\": 48.491362316119236, \"precipitation\": 23.80248472573617, \"condition\": \"snow\"}, {\"temperature\": 28.54368725395195, \"wind\": 5.72748587709313, \"precipitation\": 25.974359374267742, \"condition\": \"drizzle\"}, {\"temperature\": 41.85044222939622, \"wind\": 3.311333417116047, \"precipitation\": 1.7918023488591839, \"condition\": \"snow\"}, {\"temperature\": 39.51847585775124, \"wind\": 89.64939452111453, \"precipitation\": 48.53950512768904, \"condition\": \"fog\"}, {\"temperature\": 4.1511791382858725, \"wind\": 58.14172937556887, \"precipitation\": 79.66452798481971, \"condition\": \"drizzle\"}, {\"temperature\": 7.316849144326355, \"wind\": 6.796864846855866, \"precipitation\": 33.619090549629306, \"condition\": \"snow\"}, {\"temperature\": -6.040726652488083, \"wind\": 24.37214720554359, \"precipitation\": 71.46568853073089, \"condition\": \"rain\"}, {\"temperature\": 28.05026452008928, \"wind\": 19.39989397387041, \"precipitation\": 71.68725771245654, \"condition\": \"drizzle\"}, {\"temperature\": 35.30623993317926, \"wind\": 66.54091843981752, \"precipitation\": 22.884049790672588, \"condition\": \"rain\"}, {\"temperature\": -9.078168118751755, \"wind\": 54.53321547753263, \"precipitation\": 66.43449936744369, \"condition\": \"sun\"}, {\"temperature\": 34.31111609068961, \"wind\": 92.79899053872957, \"precipitation\": 61.9431928594434, \"condition\": \"sun\"}, {\"temperature\": -0.5340863902706268, \"wind\": 89.18484464889846, \"precipitation\": 88.49655552922172, \"condition\": \"rain\"}, {\"temperature\": -7.331283732097262, \"wind\": 16.43300088620039, \"precipitation\": 92.15523633598885, \"condition\": \"drizzle\"}, {\"temperature\": 34.4512940591614, \"wind\": 16.982566694713043, \"precipitation\": 66.50391898652623, \"condition\": \"fog\"}, {\"temperature\": 2.292195972387347, \"wind\": 78.07758659490037, \"precipitation\": 85.08941323813521, \"condition\": \"snow\"}, {\"temperature\": 10.280188069701488, \"wind\": 64.37598506985243, \"precipitation\": 46.13428294966927, \"condition\": \"sun\"}, {\"temperature\": 14.385637791164196, \"wind\": 27.710246014732775, \"precipitation\": 82.18132103083111, \"condition\": \"rain\"}, {\"temperature\": 15.068929930658907, \"wind\": 90.37313777532859, \"precipitation\": 95.42688091272505, \"condition\": \"rain\"}, {\"temperature\": -5.931704200276687, \"wind\": 76.30697305192514, \"precipitation\": 48.17926018036856, \"condition\": \"drizzle\"}, {\"temperature\": -1.2238906425326128, \"wind\": 77.25655113115953, \"precipitation\": 12.189057445370022, \"condition\": \"sun\"}, {\"temperature\": 17.981273164150583, \"wind\": 99.8855194023956, \"precipitation\": 5.951490853046981, \"condition\": \"drizzle\"}, {\"temperature\": 8.333054222089164, \"wind\": 22.351144710727677, \"precipitation\": 1.9907985646430038, \"condition\": \"rain\"}, {\"temperature\": 40.99117292213711, \"wind\": 12.537186007473021, \"precipitation\": 3.0957134444521195, \"condition\": \"drizzle\"}, {\"temperature\": 36.29560583814439, \"wind\": 47.282861379528676, \"precipitation\": 50.72175472263106, \"condition\": \"fog\"}, {\"temperature\": 8.011942225789358, \"wind\": 80.64679426688298, \"precipitation\": 84.74031260132877, \"condition\": \"sun\"}, {\"temperature\": 32.64189921238727, \"wind\": 78.38867921926278, \"precipitation\": 94.27015659699374, \"condition\": \"fog\"}, {\"temperature\": -4.159829210634211, \"wind\": 53.39060475873939, \"precipitation\": 50.60795287404672, \"condition\": \"fog\"}, {\"temperature\": -6.602296737522483, \"wind\": 86.55899134629715, \"precipitation\": 62.64697378600636, \"condition\": \"fog\"}, {\"temperature\": 40.135239145180655, \"wind\": 16.633704419495032, \"precipitation\": 41.391087682479736, \"condition\": \"drizzle\"}, {\"temperature\": 26.95881305440288, \"wind\": 85.8809786017975, \"precipitation\": 71.9617762842435, \"condition\": \"drizzle\"}, {\"temperature\": 11.92991543604046, \"wind\": 76.39140196294017, \"precipitation\": 60.40612399492309, \"condition\": \"drizzle\"}, {\"temperature\": 19.566301202766702, \"wind\": 72.97802286558691, \"precipitation\": 29.681848692175006, \"condition\": \"drizzle\"}, {\"temperature\": 10.481864045771506, \"wind\": 10.269367839292642, \"precipitation\": 85.87287289024248, \"condition\": \"rain\"}, {\"temperature\": -9.620152753805623, \"wind\": 64.57630699894213, \"precipitation\": 29.06583641537993, \"condition\": \"drizzle\"}, {\"temperature\": 24.85823346816882, \"wind\": 64.44200648973889, \"precipitation\": 32.79358601401415, \"condition\": \"sun\"}, {\"temperature\": -9.71401231081625, \"wind\": 46.94482107365025, \"precipitation\": 71.95828763550503, \"condition\": \"rain\"}, {\"temperature\": 15.802582568794556, \"wind\": 5.568264782160037, \"precipitation\": 16.50277435360922, \"condition\": \"sun\"}, {\"temperature\": 29.44740698845427, \"wind\": 66.4224540835048, \"precipitation\": 96.91347272575433, \"condition\": \"snow\"}, {\"temperature\": 0.1789559651072139, \"wind\": 37.144396583281235, \"precipitation\": 7.3927878065009445, \"condition\": \"snow\"}, {\"temperature\": 37.90262114384076, \"wind\": 23.744567572534315, \"precipitation\": 85.44013318397162, \"condition\": \"fog\"}, {\"temperature\": 40.40503203411964, \"wind\": 71.68155336881077, \"precipitation\": 91.260802513042, \"condition\": \"snow\"}, {\"temperature\": 2.723433474361908, \"wind\": 5.85694236985378, \"precipitation\": 54.0295184169758, \"condition\": \"drizzle\"}, {\"temperature\": 9.452609321039336, \"wind\": 52.7843932253772, \"precipitation\": 90.04450333194686, \"condition\": \"fog\"}, {\"temperature\": 18.909153974667404, \"wind\": 13.725377509230263, \"precipitation\": 34.56974350594094, \"condition\": \"sun\"}]}}, {\"mode\": \"vega-lite\"});\n",
-       "</script>"
-      ],
-      "text/plain": [
-       "alt.Chart(...)"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "base = alt.Chart(df)\n",
-    "arc = base.mark_arc().encode(\n",
-    "    theta=alt.Theta(\n",
-    "        field=\"temperature\",\n",
-    "        type=\"quantitative\",\n",
-    "        aggregate=\"count\",\n",
-    "        stack=\"zero\",\n",
-    "        scale=alt.Scale(type=\"linear\", zero=True),\n",
-    "    ),\n",
-    "    color=alt.Color(field=\"condition\", type=\"nominal\", scale=alt.Scale(type=\"ordinal\")),\n",
-    ")\n",
-    "display_chart(arc)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### Stacked Bar Chart"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 26,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "{'field': [{'name': 'temperature', 'type': 'number'},\n",
-      "           {'name': 'condition', 'type': 'string'}],\n",
-      " 'number_rows': 100,\n",
-      " 'view': [{'mark': [{'encoding': [{'binning': 10,\n",
-      "                                   'channel': 'x',\n",
-      "                                   'field': 'temperature'},\n",
-      "                                  {'aggregate': 'count',\n",
-      "                                   'channel': 'y',\n",
-      "                                   'stack': 'zero'},\n",
-      "                                  {'channel': 'color', 'field': 'condition'}],\n",
-      "                     'type': 'bar'}],\n",
-      "           'scale': [{'channel': 'x', 'type': 'linear'},\n",
-      "                     {'channel': 'y', 'type': 'linear', 'zero': 'true'},\n",
-      "                     {'channel': 'color', 'type': 'categorical'}]}]}\n"
-     ]
-    }
-   ],
-   "source": [
-    "facts = [\n",
-    "    \"attribute(number_rows,root,100).\",\n",
-    "    \"entity(field,root,temperature).\",\n",
-    "    \"attribute((field,name),temperature,temperature).\",\n",
-    "    \"attribute((field,type),temperature,number).\",\n",
-    "    \"entity(field,root,condition).\",\n",
-    "    \"attribute((field,name),condition,condition).\",\n",
-    "    \"attribute((field,type),condition,string).\",\n",
-    "    \"entity(view,root,0).\",\n",
-    "    \"entity(mark,0,1).\",\n",
-    "    \"attribute((mark,type),1,bar).\",\n",
-    "    \"entity(encoding,1,2).\",\n",
-    "    \"attribute((encoding,channel),2,x).\",\n",
-    "    \"attribute((encoding,field),2,temperature).\",\n",
-    "    \"attribute((encoding,binning),2,10).\",\n",
-    "    \"entity(encoding,1,3).\",\n",
-    "    \"attribute((encoding,channel),3,y).\",\n",
-    "    \"attribute((encoding,aggregate),3,count).\",\n",
-    "    \"attribute((encoding,stack),3,zero).\",\n",
-    "    \"entity(encoding,1,4).\",\n",
-    "    \"attribute((encoding,channel),4,color).\",\n",
-    "    \"attribute((encoding,field),4,condition).\",\n",
-    "    \"entity(scale,0,5).\",\n",
-    "    \"attribute((scale,channel),5,x).\",\n",
-    "    \"attribute((scale,type),5,linear).\",\n",
-    "    \"entity(scale,0,6).\",\n",
-    "    \"attribute((scale,channel),6,y).\",\n",
-    "    \"attribute((scale,type),6,linear).\",\n",
-    "    \"attribute((scale,zero),6,true).\",\n",
-    "    \"entity(scale,0,7).\",\n",
-    "    \"attribute((scale,channel),7,color).\",\n",
-    "    \"attribute((scale,type),7,categorical).\",\n",
-    "]\n",
-    "spec = facts_to_dict(facts)\n",
-    "pprint(spec)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 27,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "{'$schema': 'https://vega.github.io/schema/vega-lite/v4.17.0.json',\n",
-      " 'config': {'view': {'continuousHeight': 300, 'continuousWidth': 400}},\n",
-      " 'encoding': {'color': {'field': 'condition', 'type': 'nominal'},\n",
-      "              'x': {'bin': {'maxbins': 10},\n",
-      "                    'field': 'temperature',\n",
-      "                    'scale': {'type': 'linear'},\n",
-      "                    'type': 'quantitative'},\n",
-      "              'y': {'aggregate': 'count',\n",
-      "                    'field': 'temperature',\n",
-      "                    'scale': {'type': 'linear', 'zero': True},\n",
-      "                    'stack': 'zero',\n",
-      "                    'type': 'quantitative'}},\n",
-      " 'mark': 'bar'}\n"
-     ]
-    },
-    {
-     "data": {
-      "text/html": [
-       "\n",
-       "<div id=\"altair-viz-c74a57805701497d860de07f0d55f978\"></div>\n",
-       "<script type=\"text/javascript\">\n",
-       "  var VEGA_DEBUG = (typeof VEGA_DEBUG == \"undefined\") ? {} : VEGA_DEBUG;\n",
-       "  (function(spec, embedOpt){\n",
-       "    let outputDiv = document.currentScript.previousElementSibling;\n",
-       "    if (outputDiv.id !== \"altair-viz-c74a57805701497d860de07f0d55f978\") {\n",
-       "      outputDiv = document.getElementById(\"altair-viz-c74a57805701497d860de07f0d55f978\");\n",
-       "    }\n",
-       "    const paths = {\n",
-       "      \"vega\": \"https://cdn.jsdelivr.net/npm//vega@5?noext\",\n",
-       "      \"vega-lib\": \"https://cdn.jsdelivr.net/npm//vega-lib?noext\",\n",
-       "      \"vega-lite\": \"https://cdn.jsdelivr.net/npm//vega-lite@4.17.0?noext\",\n",
-       "      \"vega-embed\": \"https://cdn.jsdelivr.net/npm//vega-embed@6?noext\",\n",
-       "    };\n",
-       "\n",
-       "    function maybeLoadScript(lib, version) {\n",
-       "      var key = `${lib.replace(\"-\", \"\")}_version`;\n",
-       "      return (VEGA_DEBUG[key] == version) ?\n",
-       "        Promise.resolve(paths[lib]) :\n",
-       "        new Promise(function(resolve, reject) {\n",
-       "          var s = document.createElement('script');\n",
-       "          document.getElementsByTagName(\"head\")[0].appendChild(s);\n",
-       "          s.async = true;\n",
-       "          s.onload = () => {\n",
-       "            VEGA_DEBUG[key] = version;\n",
-       "            return resolve(paths[lib]);\n",
-       "          };\n",
-       "          s.onerror = () => reject(`Error loading script: ${paths[lib]}`);\n",
-       "          s.src = paths[lib];\n",
-       "        });\n",
-       "    }\n",
-       "\n",
-       "    function showError(err) {\n",
-       "      outputDiv.innerHTML = `<div class=\"error\" style=\"color:red;\">${err}</div>`;\n",
-       "      throw err;\n",
-       "    }\n",
-       "\n",
-       "    function displayChart(vegaEmbed) {\n",
-       "      vegaEmbed(outputDiv, spec, embedOpt)\n",
-       "        .catch(err => showError(`Javascript Error: ${err.message}<br>This usually means there's a typo in your chart specification. See the javascript console for the full traceback.`));\n",
-       "    }\n",
-       "\n",
-       "    if(typeof define === \"function\" && define.amd) {\n",
-       "      requirejs.config({paths});\n",
-       "      require([\"vega-embed\"], displayChart, err => showError(`Error loading script: ${err.message}`));\n",
-       "    } else {\n",
-       "      maybeLoadScript(\"vega\", \"5\")\n",
-       "        .then(() => maybeLoadScript(\"vega-lite\", \"4.17.0\"))\n",
-       "        .then(() => maybeLoadScript(\"vega-embed\", \"6\"))\n",
-       "        .catch(showError)\n",
-       "        .then(() => displayChart(vegaEmbed));\n",
-       "    }\n",
-       "  })({\"config\": {\"view\": {\"continuousWidth\": 400, \"continuousHeight\": 300}}, \"data\": {\"name\": \"data-124c435c1b687eb7890344117a1c86b4\"}, \"mark\": \"bar\", \"encoding\": {\"color\": {\"field\": \"condition\", \"type\": \"nominal\"}, \"x\": {\"bin\": {\"maxbins\": 10}, \"field\": \"temperature\", \"scale\": {\"type\": \"linear\"}, \"type\": \"quantitative\"}, \"y\": {\"aggregate\": \"count\", \"field\": \"temperature\", \"scale\": {\"type\": \"linear\", \"zero\": true}, \"stack\": \"zero\", \"type\": \"quantitative\"}}, \"$schema\": \"https://vega.github.io/schema/vega-lite/v4.17.0.json\", \"datasets\": {\"data-124c435c1b687eb7890344117a1c86b4\": [{\"temperature\": 17.89365303788651, \"wind\": 78.75685633883592, \"precipitation\": 41.61124606702779, \"condition\": \"rain\"}, {\"temperature\": 5.622818441769336, \"wind\": 25.421998841055917, \"precipitation\": 74.90555083684964, \"condition\": \"rain\"}, {\"temperature\": 23.3902094090436, \"wind\": 9.846103163487696, \"precipitation\": 81.33536438710783, \"condition\": \"rain\"}, {\"temperature\": 20.889554427248395, \"wind\": 27.53521295661492, \"precipitation\": 27.6549324712597, \"condition\": \"drizzle\"}, {\"temperature\": 33.91026207788065, \"wind\": 97.91032820138525, \"precipitation\": 36.53494267552425, \"condition\": \"snow\"}, {\"temperature\": 39.65611406756084, \"wind\": 24.27383951799732, \"precipitation\": 33.38647147375286, \"condition\": \"rain\"}, {\"temperature\": 5.670659801967243, \"wind\": 98.20197823012846, \"precipitation\": 93.72832557739356, \"condition\": \"snow\"}, {\"temperature\": -2.2776070811204505, \"wind\": 77.90443786588797, \"precipitation\": 50.102310147035375, \"condition\": \"drizzle\"}, {\"temperature\": 43.104548648992775, \"wind\": 74.77698982401796, \"precipitation\": 89.95647852559429, \"condition\": \"sun\"}, {\"temperature\": 1.8049661385207525, \"wind\": 91.29152261118769, \"precipitation\": 29.77145087552332, \"condition\": \"fog\"}, {\"temperature\": 14.327115187571408, \"wind\": 45.054261048821296, \"precipitation\": 17.654846400296798, \"condition\": \"drizzle\"}, {\"temperature\": 25.44797791508993, \"wind\": 22.265267642454656, \"precipitation\": 60.37929677885421, \"condition\": \"drizzle\"}, {\"temperature\": 11.19016835531465, \"wind\": 77.30294308487814, \"precipitation\": 71.65443847888368, \"condition\": \"snow\"}, {\"temperature\": 22.948827407585433, \"wind\": 27.03785915458824, \"precipitation\": 92.68901140573688, \"condition\": \"snow\"}, {\"temperature\": 33.16555388154543, \"wind\": 92.1292103045794, \"precipitation\": 39.10838647644195, \"condition\": \"snow\"}, {\"temperature\": 9.981393546660723, \"wind\": 66.73004528306666, \"precipitation\": 19.36957583451713, \"condition\": \"drizzle\"}, {\"temperature\": 2.837559858993796, \"wind\": 18.62443662393004, \"precipitation\": 57.42273968155751, \"condition\": \"sun\"}, {\"temperature\": 39.14290590745285, \"wind\": 32.52859013259527, \"precipitation\": 88.21897530715309, \"condition\": \"rain\"}, {\"temperature\": 39.2325438266719, \"wind\": 2.511353474345024, \"precipitation\": 78.95158173752907, \"condition\": \"fog\"}, {\"temperature\": 2.949456835649645, \"wind\": 1.9370157264502197, \"precipitation\": 3.5337114891518584, \"condition\": \"fog\"}, {\"temperature\": 28.422917308067277, \"wind\": 6.822434636914776, \"precipitation\": 84.5655158038795, \"condition\": \"fog\"}, {\"temperature\": 28.406344711783838, \"wind\": 95.25216996998444, \"precipitation\": 2.312429289727791, \"condition\": \"fog\"}, {\"temperature\": 23.929825809705775, \"wind\": 28.441727967722407, \"precipitation\": 94.94371547195382, \"condition\": \"drizzle\"}, {\"temperature\": 25.144603850494207, \"wind\": 5.7248518372133965, \"precipitation\": 72.55961327284773, \"condition\": \"drizzle\"}, {\"temperature\": -3.1069016270510676, \"wind\": 90.56068308052812, \"precipitation\": 8.208347981870512, \"condition\": \"rain\"}, {\"temperature\": 43.07443333444708, \"wind\": 63.33777651825151, \"precipitation\": 35.343598004733714, \"condition\": \"sun\"}, {\"temperature\": -8.715631484900875, \"wind\": 78.50049089036061, \"precipitation\": 16.726772866900042, \"condition\": \"fog\"}, {\"temperature\": 10.058625587365142, \"wind\": 82.55410159133031, \"precipitation\": 49.82193593499935, \"condition\": \"fog\"}, {\"temperature\": 27.912341883718938, \"wind\": 45.94389098129158, \"precipitation\": 87.71806691348185, \"condition\": \"sun\"}, {\"temperature\": 28.827008981675903, \"wind\": 14.352645600160752, \"precipitation\": 95.30777240838884, \"condition\": \"sun\"}, {\"temperature\": -5.245472855196331, \"wind\": 24.463633090927274, \"precipitation\": 63.1630488725617, \"condition\": \"fog\"}, {\"temperature\": -4.738627417736829, \"wind\": 87.61779675788263, \"precipitation\": 67.17488470646667, \"condition\": \"fog\"}, {\"temperature\": -1.6463371096382655, \"wind\": 34.15953757649686, \"precipitation\": 83.20021064524306, \"condition\": \"rain\"}, {\"temperature\": -8.671469939339552, \"wind\": 28.02148157701091, \"precipitation\": 8.858286414027772, \"condition\": \"snow\"}, {\"temperature\": 23.586980668182306, \"wind\": 32.61177727202879, \"precipitation\": 90.55384722692395, \"condition\": \"snow\"}, {\"temperature\": 42.93552301196303, \"wind\": 17.459007963452034, \"precipitation\": 76.26693620563219, \"condition\": \"sun\"}, {\"temperature\": 14.04271616398174, \"wind\": 31.44611970670743, \"precipitation\": 27.736449442339893, \"condition\": \"rain\"}, {\"temperature\": 33.93136729382773, \"wind\": 85.0980112392488, \"precipitation\": 48.72266227519502, \"condition\": \"fog\"}, {\"temperature\": 29.10713627050935, \"wind\": 25.401508775422734, \"precipitation\": 83.25120184383715, \"condition\": \"fog\"}, {\"temperature\": 23.33130010979005, \"wind\": 38.960479467358745, \"precipitation\": 84.8094568801428, \"condition\": \"rain\"}, {\"temperature\": 27.820447049966695, \"wind\": 97.47611794506456, \"precipitation\": 59.404606053602336, \"condition\": \"fog\"}, {\"temperature\": 24.704809156505995, \"wind\": 56.929461372432655, \"precipitation\": 16.583726619344496, \"condition\": \"drizzle\"}, {\"temperature\": 42.73839675123029, \"wind\": 19.024929246369528, \"precipitation\": 37.515692671204135, \"condition\": \"sun\"}, {\"temperature\": 39.73480992464111, \"wind\": 63.10268501376382, \"precipitation\": 15.20512544845365, \"condition\": \"fog\"}, {\"temperature\": 34.928857478491054, \"wind\": 44.34437827092474, \"precipitation\": 2.9919970218495684, \"condition\": \"sun\"}, {\"temperature\": 12.475457440238529, \"wind\": 45.63508245761745, \"precipitation\": 1.5684442569828705, \"condition\": \"fog\"}, {\"temperature\": 11.485742656702111, \"wind\": 35.43011450755876, \"precipitation\": 46.843314320146966, \"condition\": \"fog\"}, {\"temperature\": 16.58332024159822, \"wind\": 85.9387003246595, \"precipitation\": 67.67417859666371, \"condition\": \"sun\"}, {\"temperature\": 42.96961504747511, \"wind\": 61.02100908610409, \"precipitation\": 40.19537213295094, \"condition\": \"snow\"}, {\"temperature\": 43.01306682260888, \"wind\": 91.58796490357004, \"precipitation\": 10.242970289225461, \"condition\": \"sun\"}, {\"temperature\": 17.888206090116245, \"wind\": 29.82373325722851, \"precipitation\": 44.29455934969246, \"condition\": \"sun\"}, {\"temperature\": 13.700882757230424, \"wind\": 46.93705512034313, \"precipitation\": 76.07676796446637, \"condition\": \"rain\"}, {\"temperature\": 4.986331720563626, \"wind\": 81.90760931416689, \"precipitation\": 34.892239668746406, \"condition\": \"drizzle\"}, {\"temperature\": -1.4778346288931683, \"wind\": 3.9791854357363987, \"precipitation\": 7.535152538482148, \"condition\": \"drizzle\"}, {\"temperature\": 16.892161248783623, \"wind\": 31.993361074291926, \"precipitation\": 60.46401934620111, \"condition\": \"drizzle\"}, {\"temperature\": -7.17506030059671, \"wind\": 5.042336185555952, \"precipitation\": 88.35922403405787, \"condition\": \"drizzle\"}, {\"temperature\": 9.85908134441586, \"wind\": 48.491362316119236, \"precipitation\": 23.80248472573617, \"condition\": \"snow\"}, {\"temperature\": 28.54368725395195, \"wind\": 5.72748587709313, \"precipitation\": 25.974359374267742, \"condition\": \"drizzle\"}, {\"temperature\": 41.85044222939622, \"wind\": 3.311333417116047, \"precipitation\": 1.7918023488591839, \"condition\": \"snow\"}, {\"temperature\": 39.51847585775124, \"wind\": 89.64939452111453, \"precipitation\": 48.53950512768904, \"condition\": \"fog\"}, {\"temperature\": 4.1511791382858725, \"wind\": 58.14172937556887, \"precipitation\": 79.66452798481971, \"condition\": \"drizzle\"}, {\"temperature\": 7.316849144326355, \"wind\": 6.796864846855866, \"precipitation\": 33.619090549629306, \"condition\": \"snow\"}, {\"temperature\": -6.040726652488083, \"wind\": 24.37214720554359, \"precipitation\": 71.46568853073089, \"condition\": \"rain\"}, {\"temperature\": 28.05026452008928, \"wind\": 19.39989397387041, \"precipitation\": 71.68725771245654, \"condition\": \"drizzle\"}, {\"temperature\": 35.30623993317926, \"wind\": 66.54091843981752, \"precipitation\": 22.884049790672588, \"condition\": \"rain\"}, {\"temperature\": -9.078168118751755, \"wind\": 54.53321547753263, \"precipitation\": 66.43449936744369, \"condition\": \"sun\"}, {\"temperature\": 34.31111609068961, \"wind\": 92.79899053872957, \"precipitation\": 61.9431928594434, \"condition\": \"sun\"}, {\"temperature\": -0.5340863902706268, \"wind\": 89.18484464889846, \"precipitation\": 88.49655552922172, \"condition\": \"rain\"}, {\"temperature\": -7.331283732097262, \"wind\": 16.43300088620039, \"precipitation\": 92.15523633598885, \"condition\": \"drizzle\"}, {\"temperature\": 34.4512940591614, \"wind\": 16.982566694713043, \"precipitation\": 66.50391898652623, \"condition\": \"fog\"}, {\"temperature\": 2.292195972387347, \"wind\": 78.07758659490037, \"precipitation\": 85.08941323813521, \"condition\": \"snow\"}, {\"temperature\": 10.280188069701488, \"wind\": 64.37598506985243, \"precipitation\": 46.13428294966927, \"condition\": \"sun\"}, {\"temperature\": 14.385637791164196, \"wind\": 27.710246014732775, \"precipitation\": 82.18132103083111, \"condition\": \"rain\"}, {\"temperature\": 15.068929930658907, \"wind\": 90.37313777532859, \"precipitation\": 95.42688091272505, \"condition\": \"rain\"}, {\"temperature\": -5.931704200276687, \"wind\": 76.30697305192514, \"precipitation\": 48.17926018036856, \"condition\": \"drizzle\"}, {\"temperature\": -1.2238906425326128, \"wind\": 77.25655113115953, \"precipitation\": 12.189057445370022, \"condition\": \"sun\"}, {\"temperature\": 17.981273164150583, \"wind\": 99.8855194023956, \"precipitation\": 5.951490853046981, \"condition\": \"drizzle\"}, {\"temperature\": 8.333054222089164, \"wind\": 22.351144710727677, \"precipitation\": 1.9907985646430038, \"condition\": \"rain\"}, {\"temperature\": 40.99117292213711, \"wind\": 12.537186007473021, \"precipitation\": 3.0957134444521195, \"condition\": \"drizzle\"}, {\"temperature\": 36.29560583814439, \"wind\": 47.282861379528676, \"precipitation\": 50.72175472263106, \"condition\": \"fog\"}, {\"temperature\": 8.011942225789358, \"wind\": 80.64679426688298, \"precipitation\": 84.74031260132877, \"condition\": \"sun\"}, {\"temperature\": 32.64189921238727, \"wind\": 78.38867921926278, \"precipitation\": 94.27015659699374, \"condition\": \"fog\"}, {\"temperature\": -4.159829210634211, \"wind\": 53.39060475873939, \"precipitation\": 50.60795287404672, \"condition\": \"fog\"}, {\"temperature\": -6.602296737522483, \"wind\": 86.55899134629715, \"precipitation\": 62.64697378600636, \"condition\": \"fog\"}, {\"temperature\": 40.135239145180655, \"wind\": 16.633704419495032, \"precipitation\": 41.391087682479736, \"condition\": \"drizzle\"}, {\"temperature\": 26.95881305440288, \"wind\": 85.8809786017975, \"precipitation\": 71.9617762842435, \"condition\": \"drizzle\"}, {\"temperature\": 11.92991543604046, \"wind\": 76.39140196294017, \"precipitation\": 60.40612399492309, \"condition\": \"drizzle\"}, {\"temperature\": 19.566301202766702, \"wind\": 72.97802286558691, \"precipitation\": 29.681848692175006, \"condition\": \"drizzle\"}, {\"temperature\": 10.481864045771506, \"wind\": 10.269367839292642, \"precipitation\": 85.87287289024248, \"condition\": \"rain\"}, {\"temperature\": -9.620152753805623, \"wind\": 64.57630699894213, \"precipitation\": 29.06583641537993, \"condition\": \"drizzle\"}, {\"temperature\": 24.85823346816882, \"wind\": 64.44200648973889, \"precipitation\": 32.79358601401415, \"condition\": \"sun\"}, {\"temperature\": -9.71401231081625, \"wind\": 46.94482107365025, \"precipitation\": 71.95828763550503, \"condition\": \"rain\"}, {\"temperature\": 15.802582568794556, \"wind\": 5.568264782160037, \"precipitation\": 16.50277435360922, \"condition\": \"sun\"}, {\"temperature\": 29.44740698845427, \"wind\": 66.4224540835048, \"precipitation\": 96.91347272575433, \"condition\": \"snow\"}, {\"temperature\": 0.1789559651072139, \"wind\": 37.144396583281235, \"precipitation\": 7.3927878065009445, \"condition\": \"snow\"}, {\"temperature\": 37.90262114384076, \"wind\": 23.744567572534315, \"precipitation\": 85.44013318397162, \"condition\": \"fog\"}, {\"temperature\": 40.40503203411964, \"wind\": 71.68155336881077, \"precipitation\": 91.260802513042, \"condition\": \"snow\"}, {\"temperature\": 2.723433474361908, \"wind\": 5.85694236985378, \"precipitation\": 54.0295184169758, \"condition\": \"drizzle\"}, {\"temperature\": 9.452609321039336, \"wind\": 52.7843932253772, \"precipitation\": 90.04450333194686, \"condition\": \"fog\"}, {\"temperature\": 18.909153974667404, \"wind\": 13.725377509230263, \"precipitation\": 34.56974350594094, \"condition\": \"sun\"}]}}, {\"mode\": \"vega-lite\"});\n",
-       "</script>"
-      ],
-      "text/plain": [
-       "alt.Chart(...)"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "base = alt.Chart(df)\n",
-    "bar = base.mark_bar().encode(\n",
-    "    x=alt.X(\n",
-    "        field=\"temperature\",\n",
-    "        type=\"quantitative\",\n",
-    "        bin=alt.Bin(maxbins=10),\n",
-    "        scale=alt.Scale(type=\"linear\"),\n",
-    "    ),\n",
-    "    y=alt.Y(\n",
-    "        field=\"temperature\",\n",
-    "        type=\"quantitative\",\n",
-    "        aggregate=\"count\",\n",
-    "        stack=\"zero\",\n",
-    "        scale=alt.Scale(type=\"linear\", zero=True),\n",
-    "    ),\n",
-    "    color=alt.Color(field=\"condition\", type=\"nominal\"),\n",
-    ")\n",
-    "display_chart(bar)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### Normalized (Percentage) Stacked Bar Chart"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 28,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "{'field': [{'name': 'temperature', 'type': 'number'},\n",
-      "           {'name': 'condition', 'type': 'string'}],\n",
-      " 'number_rows': 100,\n",
-      " 'view': [{'mark': [{'encoding': [{'aggregate': 'count',\n",
-      "                                   'channel': 'x',\n",
-      "                                   'stack': 'normalize'},\n",
-      "                                  {'binning': 10,\n",
-      "                                   'channel': 'y',\n",
-      "                                   'field': 'temperature'},\n",
-      "                                  {'channel': 'color', 'field': 'condition'}],\n",
-      "                     'type': 'bar'}],\n",
-      "           'scale': [{'channel': 'x', 'type': 'linear', 'zero': 'true'},\n",
-      "                     {'channel': 'y', 'type': 'linear'},\n",
-      "                     {'channel': 'color', 'type': 'categorical'}]}]}\n"
-     ]
-    }
-   ],
-   "source": [
-    "facts = [\n",
-    "    \"attribute(number_rows,root,100).\",\n",
-    "    \"entity(field,root,temperature).\",\n",
-    "    \"attribute((field,name),temperature,temperature).\",\n",
-    "    \"attribute((field,type),temperature,number).\",\n",
-    "    \"entity(field,root,condition).\",\n",
-    "    \"attribute((field,name),condition,condition).\",\n",
-    "    \"attribute((field,type),condition,string).\",\n",
-    "    \"entity(view,root,0).\",\n",
-    "    \"entity(mark,0,1).\",\n",
-    "    \"attribute((mark,type),1,bar).\",\n",
-    "    \"entity(encoding,1,2).\",\n",
-    "    \"attribute((encoding,channel),2,x).\",\n",
-    "    \"attribute((encoding,aggregate),2,count).\",\n",
-    "    \"attribute((encoding,stack),2,normalize).\",\n",
-    "    \"entity(encoding,1,3).\",\n",
-    "    \"attribute((encoding,channel),3,y).\",\n",
-    "    \"attribute((encoding,field),3,temperature).\",\n",
-    "    \"attribute((encoding,binning),3,10).\",\n",
-    "    \"entity(encoding,1,4).\",\n",
-    "    \"attribute((encoding,channel),4,color).\",\n",
-    "    \"attribute((encoding,field),4,condition).\",\n",
-    "    \"entity(scale,0,5).\",\n",
-    "    \"attribute((scale,channel),5,x).\",\n",
-    "    \"attribute((scale,type),5,linear).\",\n",
-    "    \"attribute((scale,zero),5,true).\",\n",
-    "    \"entity(scale,0,6).\",\n",
-    "    \"attribute((scale,channel),6,y).\",\n",
-    "    \"attribute((scale,type),6,linear).\",\n",
-    "    \"entity(scale,0,7).\",\n",
-    "    \"attribute((scale,channel),7,color).\",\n",
-    "    \"attribute((scale,type),7,categorical).\",\n",
-    "]\n",
-    "spec = facts_to_dict(facts)\n",
-    "pprint(spec)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 29,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "{'$schema': 'https://vega.github.io/schema/vega-lite/v4.17.0.json',\n",
-      " 'config': {'view': {'continuousHeight': 300, 'continuousWidth': 400}},\n",
-      " 'encoding': {'color': {'field': 'condition', 'type': 'nominal'},\n",
-      "              'x': {'aggregate': 'count',\n",
-      "                    'field': 'temperature',\n",
-      "                    'scale': {'type': 'linear', 'zero': True},\n",
-      "                    'stack': 'normalize',\n",
-      "                    'type': 'quantitative'},\n",
-      "              'y': {'bin': {'maxbins': 10},\n",
-      "                    'field': 'temperature',\n",
-      "                    'scale': {'type': 'linear'},\n",
-      "                    'type': 'quantitative'}},\n",
-      " 'mark': 'bar'}\n"
-     ]
-    },
-    {
-     "data": {
-      "text/html": [
-       "\n",
-       "<div id=\"altair-viz-5ad1866e83964d789591acd276a7b26f\"></div>\n",
-       "<script type=\"text/javascript\">\n",
-       "  var VEGA_DEBUG = (typeof VEGA_DEBUG == \"undefined\") ? {} : VEGA_DEBUG;\n",
-       "  (function(spec, embedOpt){\n",
-       "    let outputDiv = document.currentScript.previousElementSibling;\n",
-       "    if (outputDiv.id !== \"altair-viz-5ad1866e83964d789591acd276a7b26f\") {\n",
-       "      outputDiv = document.getElementById(\"altair-viz-5ad1866e83964d789591acd276a7b26f\");\n",
-       "    }\n",
-       "    const paths = {\n",
-       "      \"vega\": \"https://cdn.jsdelivr.net/npm//vega@5?noext\",\n",
-       "      \"vega-lib\": \"https://cdn.jsdelivr.net/npm//vega-lib?noext\",\n",
-       "      \"vega-lite\": \"https://cdn.jsdelivr.net/npm//vega-lite@4.17.0?noext\",\n",
-       "      \"vega-embed\": \"https://cdn.jsdelivr.net/npm//vega-embed@6?noext\",\n",
-       "    };\n",
-       "\n",
-       "    function maybeLoadScript(lib, version) {\n",
-       "      var key = `${lib.replace(\"-\", \"\")}_version`;\n",
-       "      return (VEGA_DEBUG[key] == version) ?\n",
-       "        Promise.resolve(paths[lib]) :\n",
-       "        new Promise(function(resolve, reject) {\n",
-       "          var s = document.createElement('script');\n",
-       "          document.getElementsByTagName(\"head\")[0].appendChild(s);\n",
-       "          s.async = true;\n",
-       "          s.onload = () => {\n",
-       "            VEGA_DEBUG[key] = version;\n",
-       "            return resolve(paths[lib]);\n",
-       "          };\n",
-       "          s.onerror = () => reject(`Error loading script: ${paths[lib]}`);\n",
-       "          s.src = paths[lib];\n",
-       "        });\n",
-       "    }\n",
-       "\n",
-       "    function showError(err) {\n",
-       "      outputDiv.innerHTML = `<div class=\"error\" style=\"color:red;\">${err}</div>`;\n",
-       "      throw err;\n",
-       "    }\n",
-       "\n",
-       "    function displayChart(vegaEmbed) {\n",
-       "      vegaEmbed(outputDiv, spec, embedOpt)\n",
-       "        .catch(err => showError(`Javascript Error: ${err.message}<br>This usually means there's a typo in your chart specification. See the javascript console for the full traceback.`));\n",
-       "    }\n",
-       "\n",
-       "    if(typeof define === \"function\" && define.amd) {\n",
-       "      requirejs.config({paths});\n",
-       "      require([\"vega-embed\"], displayChart, err => showError(`Error loading script: ${err.message}`));\n",
-       "    } else {\n",
-       "      maybeLoadScript(\"vega\", \"5\")\n",
-       "        .then(() => maybeLoadScript(\"vega-lite\", \"4.17.0\"))\n",
-       "        .then(() => maybeLoadScript(\"vega-embed\", \"6\"))\n",
-       "        .catch(showError)\n",
-       "        .then(() => displayChart(vegaEmbed));\n",
-       "    }\n",
-       "  })({\"config\": {\"view\": {\"continuousWidth\": 400, \"continuousHeight\": 300}}, \"data\": {\"name\": \"data-124c435c1b687eb7890344117a1c86b4\"}, \"mark\": \"bar\", \"encoding\": {\"color\": {\"field\": \"condition\", \"type\": \"nominal\"}, \"x\": {\"aggregate\": \"count\", \"field\": \"temperature\", \"scale\": {\"type\": \"linear\", \"zero\": true}, \"stack\": \"normalize\", \"type\": \"quantitative\"}, \"y\": {\"bin\": {\"maxbins\": 10}, \"field\": \"temperature\", \"scale\": {\"type\": \"linear\"}, \"type\": \"quantitative\"}}, \"$schema\": \"https://vega.github.io/schema/vega-lite/v4.17.0.json\", \"datasets\": {\"data-124c435c1b687eb7890344117a1c86b4\": [{\"temperature\": 17.89365303788651, \"wind\": 78.75685633883592, \"precipitation\": 41.61124606702779, \"condition\": \"rain\"}, {\"temperature\": 5.622818441769336, \"wind\": 25.421998841055917, \"precipitation\": 74.90555083684964, \"condition\": \"rain\"}, {\"temperature\": 23.3902094090436, \"wind\": 9.846103163487696, \"precipitation\": 81.33536438710783, \"condition\": \"rain\"}, {\"temperature\": 20.889554427248395, \"wind\": 27.53521295661492, \"precipitation\": 27.6549324712597, \"condition\": \"drizzle\"}, {\"temperature\": 33.91026207788065, \"wind\": 97.91032820138525, \"precipitation\": 36.53494267552425, \"condition\": \"snow\"}, {\"temperature\": 39.65611406756084, \"wind\": 24.27383951799732, \"precipitation\": 33.38647147375286, \"condition\": \"rain\"}, {\"temperature\": 5.670659801967243, \"wind\": 98.20197823012846, \"precipitation\": 93.72832557739356, \"condition\": \"snow\"}, {\"temperature\": -2.2776070811204505, \"wind\": 77.90443786588797, \"precipitation\": 50.102310147035375, \"condition\": \"drizzle\"}, {\"temperature\": 43.104548648992775, \"wind\": 74.77698982401796, \"precipitation\": 89.95647852559429, \"condition\": \"sun\"}, {\"temperature\": 1.8049661385207525, \"wind\": 91.29152261118769, \"precipitation\": 29.77145087552332, \"condition\": \"fog\"}, {\"temperature\": 14.327115187571408, \"wind\": 45.054261048821296, \"precipitation\": 17.654846400296798, \"condition\": \"drizzle\"}, {\"temperature\": 25.44797791508993, \"wind\": 22.265267642454656, \"precipitation\": 60.37929677885421, \"condition\": \"drizzle\"}, {\"temperature\": 11.19016835531465, \"wind\": 77.30294308487814, \"precipitation\": 71.65443847888368, \"condition\": \"snow\"}, {\"temperature\": 22.948827407585433, \"wind\": 27.03785915458824, \"precipitation\": 92.68901140573688, \"condition\": \"snow\"}, {\"temperature\": 33.16555388154543, \"wind\": 92.1292103045794, \"precipitation\": 39.10838647644195, \"condition\": \"snow\"}, {\"temperature\": 9.981393546660723, \"wind\": 66.73004528306666, \"precipitation\": 19.36957583451713, \"condition\": \"drizzle\"}, {\"temperature\": 2.837559858993796, \"wind\": 18.62443662393004, \"precipitation\": 57.42273968155751, \"condition\": \"sun\"}, {\"temperature\": 39.14290590745285, \"wind\": 32.52859013259527, \"precipitation\": 88.21897530715309, \"condition\": \"rain\"}, {\"temperature\": 39.2325438266719, \"wind\": 2.511353474345024, \"precipitation\": 78.95158173752907, \"condition\": \"fog\"}, {\"temperature\": 2.949456835649645, \"wind\": 1.9370157264502197, \"precipitation\": 3.5337114891518584, \"condition\": \"fog\"}, {\"temperature\": 28.422917308067277, \"wind\": 6.822434636914776, \"precipitation\": 84.5655158038795, \"condition\": \"fog\"}, {\"temperature\": 28.406344711783838, \"wind\": 95.25216996998444, \"precipitation\": 2.312429289727791, \"condition\": \"fog\"}, {\"temperature\": 23.929825809705775, \"wind\": 28.441727967722407, \"precipitation\": 94.94371547195382, \"condition\": \"drizzle\"}, {\"temperature\": 25.144603850494207, \"wind\": 5.7248518372133965, \"precipitation\": 72.55961327284773, \"condition\": \"drizzle\"}, {\"temperature\": -3.1069016270510676, \"wind\": 90.56068308052812, \"precipitation\": 8.208347981870512, \"condition\": \"rain\"}, {\"temperature\": 43.07443333444708, \"wind\": 63.33777651825151, \"precipitation\": 35.343598004733714, \"condition\": \"sun\"}, {\"temperature\": -8.715631484900875, \"wind\": 78.50049089036061, \"precipitation\": 16.726772866900042, \"condition\": \"fog\"}, {\"temperature\": 10.058625587365142, \"wind\": 82.55410159133031, \"precipitation\": 49.82193593499935, \"condition\": \"fog\"}, {\"temperature\": 27.912341883718938, \"wind\": 45.94389098129158, \"precipitation\": 87.71806691348185, \"condition\": \"sun\"}, {\"temperature\": 28.827008981675903, \"wind\": 14.352645600160752, \"precipitation\": 95.30777240838884, \"condition\": \"sun\"}, {\"temperature\": -5.245472855196331, \"wind\": 24.463633090927274, \"precipitation\": 63.1630488725617, \"condition\": \"fog\"}, {\"temperature\": -4.738627417736829, \"wind\": 87.61779675788263, \"precipitation\": 67.17488470646667, \"condition\": \"fog\"}, {\"temperature\": -1.6463371096382655, \"wind\": 34.15953757649686, \"precipitation\": 83.20021064524306, \"condition\": \"rain\"}, {\"temperature\": -8.671469939339552, \"wind\": 28.02148157701091, \"precipitation\": 8.858286414027772, \"condition\": \"snow\"}, {\"temperature\": 23.586980668182306, \"wind\": 32.61177727202879, \"precipitation\": 90.55384722692395, \"condition\": \"snow\"}, {\"temperature\": 42.93552301196303, \"wind\": 17.459007963452034, \"precipitation\": 76.26693620563219, \"condition\": \"sun\"}, {\"temperature\": 14.04271616398174, \"wind\": 31.44611970670743, \"precipitation\": 27.736449442339893, \"condition\": \"rain\"}, {\"temperature\": 33.93136729382773, \"wind\": 85.0980112392488, \"precipitation\": 48.72266227519502, \"condition\": \"fog\"}, {\"temperature\": 29.10713627050935, \"wind\": 25.401508775422734, \"precipitation\": 83.25120184383715, \"condition\": \"fog\"}, {\"temperature\": 23.33130010979005, \"wind\": 38.960479467358745, \"precipitation\": 84.8094568801428, \"condition\": \"rain\"}, {\"temperature\": 27.820447049966695, \"wind\": 97.47611794506456, \"precipitation\": 59.404606053602336, \"condition\": \"fog\"}, {\"temperature\": 24.704809156505995, \"wind\": 56.929461372432655, \"precipitation\": 16.583726619344496, \"condition\": \"drizzle\"}, {\"temperature\": 42.73839675123029, \"wind\": 19.024929246369528, \"precipitation\": 37.515692671204135, \"condition\": \"sun\"}, {\"temperature\": 39.73480992464111, \"wind\": 63.10268501376382, \"precipitation\": 15.20512544845365, \"condition\": \"fog\"}, {\"temperature\": 34.928857478491054, \"wind\": 44.34437827092474, \"precipitation\": 2.9919970218495684, \"condition\": \"sun\"}, {\"temperature\": 12.475457440238529, \"wind\": 45.63508245761745, \"precipitation\": 1.5684442569828705, \"condition\": \"fog\"}, {\"temperature\": 11.485742656702111, \"wind\": 35.43011450755876, \"precipitation\": 46.843314320146966, \"condition\": \"fog\"}, {\"temperature\": 16.58332024159822, \"wind\": 85.9387003246595, \"precipitation\": 67.67417859666371, \"condition\": \"sun\"}, {\"temperature\": 42.96961504747511, \"wind\": 61.02100908610409, \"precipitation\": 40.19537213295094, \"condition\": \"snow\"}, {\"temperature\": 43.01306682260888, \"wind\": 91.58796490357004, \"precipitation\": 10.242970289225461, \"condition\": \"sun\"}, {\"temperature\": 17.888206090116245, \"wind\": 29.82373325722851, \"precipitation\": 44.29455934969246, \"condition\": \"sun\"}, {\"temperature\": 13.700882757230424, \"wind\": 46.93705512034313, \"precipitation\": 76.07676796446637, \"condition\": \"rain\"}, {\"temperature\": 4.986331720563626, \"wind\": 81.90760931416689, \"precipitation\": 34.892239668746406, \"condition\": \"drizzle\"}, {\"temperature\": -1.4778346288931683, \"wind\": 3.9791854357363987, \"precipitation\": 7.535152538482148, \"condition\": \"drizzle\"}, {\"temperature\": 16.892161248783623, \"wind\": 31.993361074291926, \"precipitation\": 60.46401934620111, \"condition\": \"drizzle\"}, {\"temperature\": -7.17506030059671, \"wind\": 5.042336185555952, \"precipitation\": 88.35922403405787, \"condition\": \"drizzle\"}, {\"temperature\": 9.85908134441586, \"wind\": 48.491362316119236, \"precipitation\": 23.80248472573617, \"condition\": \"snow\"}, {\"temperature\": 28.54368725395195, \"wind\": 5.72748587709313, \"precipitation\": 25.974359374267742, \"condition\": \"drizzle\"}, {\"temperature\": 41.85044222939622, \"wind\": 3.311333417116047, \"precipitation\": 1.7918023488591839, \"condition\": \"snow\"}, {\"temperature\": 39.51847585775124, \"wind\": 89.64939452111453, \"precipitation\": 48.53950512768904, \"condition\": \"fog\"}, {\"temperature\": 4.1511791382858725, \"wind\": 58.14172937556887, \"precipitation\": 79.66452798481971, \"condition\": \"drizzle\"}, {\"temperature\": 7.316849144326355, \"wind\": 6.796864846855866, \"precipitation\": 33.619090549629306, \"condition\": \"snow\"}, {\"temperature\": -6.040726652488083, \"wind\": 24.37214720554359, \"precipitation\": 71.46568853073089, \"condition\": \"rain\"}, {\"temperature\": 28.05026452008928, \"wind\": 19.39989397387041, \"precipitation\": 71.68725771245654, \"condition\": \"drizzle\"}, {\"temperature\": 35.30623993317926, \"wind\": 66.54091843981752, \"precipitation\": 22.884049790672588, \"condition\": \"rain\"}, {\"temperature\": -9.078168118751755, \"wind\": 54.53321547753263, \"precipitation\": 66.43449936744369, \"condition\": \"sun\"}, {\"temperature\": 34.31111609068961, \"wind\": 92.79899053872957, \"precipitation\": 61.9431928594434, \"condition\": \"sun\"}, {\"temperature\": -0.5340863902706268, \"wind\": 89.18484464889846, \"precipitation\": 88.49655552922172, \"condition\": \"rain\"}, {\"temperature\": -7.331283732097262, \"wind\": 16.43300088620039, \"precipitation\": 92.15523633598885, \"condition\": \"drizzle\"}, {\"temperature\": 34.4512940591614, \"wind\": 16.982566694713043, \"precipitation\": 66.50391898652623, \"condition\": \"fog\"}, {\"temperature\": 2.292195972387347, \"wind\": 78.07758659490037, \"precipitation\": 85.08941323813521, \"condition\": \"snow\"}, {\"temperature\": 10.280188069701488, \"wind\": 64.37598506985243, \"precipitation\": 46.13428294966927, \"condition\": \"sun\"}, {\"temperature\": 14.385637791164196, \"wind\": 27.710246014732775, \"precipitation\": 82.18132103083111, \"condition\": \"rain\"}, {\"temperature\": 15.068929930658907, \"wind\": 90.37313777532859, \"precipitation\": 95.42688091272505, \"condition\": \"rain\"}, {\"temperature\": -5.931704200276687, \"wind\": 76.30697305192514, \"precipitation\": 48.17926018036856, \"condition\": \"drizzle\"}, {\"temperature\": -1.2238906425326128, \"wind\": 77.25655113115953, \"precipitation\": 12.189057445370022, \"condition\": \"sun\"}, {\"temperature\": 17.981273164150583, \"wind\": 99.8855194023956, \"precipitation\": 5.951490853046981, \"condition\": \"drizzle\"}, {\"temperature\": 8.333054222089164, \"wind\": 22.351144710727677, \"precipitation\": 1.9907985646430038, \"condition\": \"rain\"}, {\"temperature\": 40.99117292213711, \"wind\": 12.537186007473021, \"precipitation\": 3.0957134444521195, \"condition\": \"drizzle\"}, {\"temperature\": 36.29560583814439, \"wind\": 47.282861379528676, \"precipitation\": 50.72175472263106, \"condition\": \"fog\"}, {\"temperature\": 8.011942225789358, \"wind\": 80.64679426688298, \"precipitation\": 84.74031260132877, \"condition\": \"sun\"}, {\"temperature\": 32.64189921238727, \"wind\": 78.38867921926278, \"precipitation\": 94.27015659699374, \"condition\": \"fog\"}, {\"temperature\": -4.159829210634211, \"wind\": 53.39060475873939, \"precipitation\": 50.60795287404672, \"condition\": \"fog\"}, {\"temperature\": -6.602296737522483, \"wind\": 86.55899134629715, \"precipitation\": 62.64697378600636, \"condition\": \"fog\"}, {\"temperature\": 40.135239145180655, \"wind\": 16.633704419495032, \"precipitation\": 41.391087682479736, \"condition\": \"drizzle\"}, {\"temperature\": 26.95881305440288, \"wind\": 85.8809786017975, \"precipitation\": 71.9617762842435, \"condition\": \"drizzle\"}, {\"temperature\": 11.92991543604046, \"wind\": 76.39140196294017, \"precipitation\": 60.40612399492309, \"condition\": \"drizzle\"}, {\"temperature\": 19.566301202766702, \"wind\": 72.97802286558691, \"precipitation\": 29.681848692175006, \"condition\": \"drizzle\"}, {\"temperature\": 10.481864045771506, \"wind\": 10.269367839292642, \"precipitation\": 85.87287289024248, \"condition\": \"rain\"}, {\"temperature\": -9.620152753805623, \"wind\": 64.57630699894213, \"precipitation\": 29.06583641537993, \"condition\": \"drizzle\"}, {\"temperature\": 24.85823346816882, \"wind\": 64.44200648973889, \"precipitation\": 32.79358601401415, \"condition\": \"sun\"}, {\"temperature\": -9.71401231081625, \"wind\": 46.94482107365025, \"precipitation\": 71.95828763550503, \"condition\": \"rain\"}, {\"temperature\": 15.802582568794556, \"wind\": 5.568264782160037, \"precipitation\": 16.50277435360922, \"condition\": \"sun\"}, {\"temperature\": 29.44740698845427, \"wind\": 66.4224540835048, \"precipitation\": 96.91347272575433, \"condition\": \"snow\"}, {\"temperature\": 0.1789559651072139, \"wind\": 37.144396583281235, \"precipitation\": 7.3927878065009445, \"condition\": \"snow\"}, {\"temperature\": 37.90262114384076, \"wind\": 23.744567572534315, \"precipitation\": 85.44013318397162, \"condition\": \"fog\"}, {\"temperature\": 40.40503203411964, \"wind\": 71.68155336881077, \"precipitation\": 91.260802513042, \"condition\": \"snow\"}, {\"temperature\": 2.723433474361908, \"wind\": 5.85694236985378, \"precipitation\": 54.0295184169758, \"condition\": \"drizzle\"}, {\"temperature\": 9.452609321039336, \"wind\": 52.7843932253772, \"precipitation\": 90.04450333194686, \"condition\": \"fog\"}, {\"temperature\": 18.909153974667404, \"wind\": 13.725377509230263, \"precipitation\": 34.56974350594094, \"condition\": \"sun\"}]}}, {\"mode\": \"vega-lite\"});\n",
-       "</script>"
-      ],
-      "text/plain": [
-       "alt.Chart(...)"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "base = alt.Chart(df)\n",
-    "bar = base.mark_bar().encode(\n",
-    "    x=alt.X(\n",
-    "        field=\"temperature\",\n",
-    "        type=\"quantitative\",\n",
-    "        aggregate=\"count\",\n",
-    "        stack=\"normalize\",\n",
-    "        scale=alt.Scale(type=\"linear\", zero=True),\n",
-    "    ),\n",
-    "    y=alt.Y(\n",
-    "        field=\"temperature\",\n",
-    "        type=\"quantitative\",\n",
-    "        bin=alt.Bin(maxbins=10),\n",
-    "        scale=alt.Scale(type=\"linear\"),\n",
-    "    ),\n",
-    "    color=alt.Color(field=\"condition\", type=\"nominal\"),\n",
-    ")\n",
-    "display_chart(bar)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Multi Mark (Layered) Charts"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### Bar with a Tick"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 30,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "{'field': [{'name': 'temperature', 'type': 'number'}],\n",
-      " 'number_rows': 100,\n",
-      " 'view': [{'mark': [{'encoding': [{'aggregate': 'mean',\n",
-      "                                   'channel': 'x',\n",
-      "                                   'field': 'temperature'}],\n",
-      "                     'type': 'bar'},\n",
-      "                    {'encoding': [{'channel': 'x', 'field': 'temperature'}],\n",
-      "                     'type': 'tick'}],\n",
-      "           'scale': [{'channel': 'x', 'type': 'linear', 'zero': 'true'}]}]}\n"
-     ]
-    }
-   ],
-   "source": [
-    "facts = [\n",
-    "    \"attribute(number_rows,root,100).\",\n",
-    "    \"entity(field,root,temperature).\",\n",
-    "    \"attribute((field,name),temperature,temperature).\",\n",
-    "    \"attribute((field,type),temperature,number).\",\n",
-    "    \"entity(view,root,0).\",\n",
-    "    \"entity(mark,0,1).\",\n",
-    "    \"attribute((mark,type),1,bar).\",\n",
-    "    \"entity(encoding,1,2).\",\n",
-    "    \"attribute((encoding,channel),2,x).\",\n",
-    "    \"attribute((encoding,aggregate),2,mean).\",\n",
-    "    \"attribute((encoding,field),2,temperature).\",\n",
-    "    \"entity(mark,0,3).\",\n",
-    "    \"attribute((mark,type),3,tick).\",\n",
-    "    \"entity(encoding,3,4).\",\n",
-    "    \"attribute((encoding,channel),4,x).\",\n",
-    "    \"attribute((encoding,field),4,temperature).\",\n",
-    "    \"entity(scale,0,5).\",\n",
-    "    \"attribute((scale,channel),5,x).\",\n",
-    "    \"attribute((scale,type),5,linear).\",\n",
-    "    \"attribute((scale,zero),5,true).\",\n",
-    "]\n",
-    "spec = facts_to_dict(facts)\n",
-    "pprint(spec)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 31,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "{'$schema': 'https://vega.github.io/schema/vega-lite/v4.17.0.json',\n",
-      " 'config': {'view': {'continuousHeight': 300, 'continuousWidth': 400}},\n",
-      " 'layer': [{'encoding': {'x': {'aggregate': 'mean',\n",
-      "                               'field': 'temperature',\n",
-      "                               'scale': {'type': 'linear', 'zero': True},\n",
-      "                               'type': 'quantitative'}},\n",
-      "            'mark': 'bar'},\n",
-      "           {'encoding': {'x': {'field': 'temperature',\n",
-      "                               'scale': {'type': 'linear', 'zero': True},\n",
-      "                               'type': 'quantitative'}},\n",
-      "            'mark': 'tick'}]}\n"
-     ]
-    },
-    {
-     "data": {
-      "text/html": [
-       "\n",
-       "<div id=\"altair-viz-45720aa0ec83459e9eae24acc922a7e2\"></div>\n",
-       "<script type=\"text/javascript\">\n",
-       "  var VEGA_DEBUG = (typeof VEGA_DEBUG == \"undefined\") ? {} : VEGA_DEBUG;\n",
-       "  (function(spec, embedOpt){\n",
-       "    let outputDiv = document.currentScript.previousElementSibling;\n",
-       "    if (outputDiv.id !== \"altair-viz-45720aa0ec83459e9eae24acc922a7e2\") {\n",
-       "      outputDiv = document.getElementById(\"altair-viz-45720aa0ec83459e9eae24acc922a7e2\");\n",
-       "    }\n",
-       "    const paths = {\n",
-       "      \"vega\": \"https://cdn.jsdelivr.net/npm//vega@5?noext\",\n",
-       "      \"vega-lib\": \"https://cdn.jsdelivr.net/npm//vega-lib?noext\",\n",
-       "      \"vega-lite\": \"https://cdn.jsdelivr.net/npm//vega-lite@4.17.0?noext\",\n",
-       "      \"vega-embed\": \"https://cdn.jsdelivr.net/npm//vega-embed@6?noext\",\n",
-       "    };\n",
-       "\n",
-       "    function maybeLoadScript(lib, version) {\n",
-       "      var key = `${lib.replace(\"-\", \"\")}_version`;\n",
-       "      return (VEGA_DEBUG[key] == version) ?\n",
-       "        Promise.resolve(paths[lib]) :\n",
-       "        new Promise(function(resolve, reject) {\n",
-       "          var s = document.createElement('script');\n",
-       "          document.getElementsByTagName(\"head\")[0].appendChild(s);\n",
-       "          s.async = true;\n",
-       "          s.onload = () => {\n",
-       "            VEGA_DEBUG[key] = version;\n",
-       "            return resolve(paths[lib]);\n",
-       "          };\n",
-       "          s.onerror = () => reject(`Error loading script: ${paths[lib]}`);\n",
-       "          s.src = paths[lib];\n",
-       "        });\n",
-       "    }\n",
-       "\n",
-       "    function showError(err) {\n",
-       "      outputDiv.innerHTML = `<div class=\"error\" style=\"color:red;\">${err}</div>`;\n",
-       "      throw err;\n",
-       "    }\n",
-       "\n",
-       "    function displayChart(vegaEmbed) {\n",
-       "      vegaEmbed(outputDiv, spec, embedOpt)\n",
-       "        .catch(err => showError(`Javascript Error: ${err.message}<br>This usually means there's a typo in your chart specification. See the javascript console for the full traceback.`));\n",
-       "    }\n",
-       "\n",
-       "    if(typeof define === \"function\" && define.amd) {\n",
-       "      requirejs.config({paths});\n",
-       "      require([\"vega-embed\"], displayChart, err => showError(`Error loading script: ${err.message}`));\n",
-       "    } else {\n",
-       "      maybeLoadScript(\"vega\", \"5\")\n",
-       "        .then(() => maybeLoadScript(\"vega-lite\", \"4.17.0\"))\n",
-       "        .then(() => maybeLoadScript(\"vega-embed\", \"6\"))\n",
-       "        .catch(showError)\n",
-       "        .then(() => displayChart(vegaEmbed));\n",
-       "    }\n",
-       "  })({\"config\": {\"view\": {\"continuousWidth\": 400, \"continuousHeight\": 300}}, \"layer\": [{\"mark\": \"bar\", \"encoding\": {\"x\": {\"aggregate\": \"mean\", \"field\": \"temperature\", \"scale\": {\"type\": \"linear\", \"zero\": true}, \"type\": \"quantitative\"}}}, {\"mark\": \"tick\", \"encoding\": {\"x\": {\"field\": \"temperature\", \"scale\": {\"type\": \"linear\", \"zero\": true}, \"type\": \"quantitative\"}}}], \"data\": {\"name\": \"data-124c435c1b687eb7890344117a1c86b4\"}, \"$schema\": \"https://vega.github.io/schema/vega-lite/v4.17.0.json\", \"datasets\": {\"data-124c435c1b687eb7890344117a1c86b4\": [{\"temperature\": 17.89365303788651, \"wind\": 78.75685633883592, \"precipitation\": 41.61124606702779, \"condition\": \"rain\"}, {\"temperature\": 5.622818441769336, \"wind\": 25.421998841055917, \"precipitation\": 74.90555083684964, \"condition\": \"rain\"}, {\"temperature\": 23.3902094090436, \"wind\": 9.846103163487696, \"precipitation\": 81.33536438710783, \"condition\": \"rain\"}, {\"temperature\": 20.889554427248395, \"wind\": 27.53521295661492, \"precipitation\": 27.6549324712597, \"condition\": \"drizzle\"}, {\"temperature\": 33.91026207788065, \"wind\": 97.91032820138525, \"precipitation\": 36.53494267552425, \"condition\": \"snow\"}, {\"temperature\": 39.65611406756084, \"wind\": 24.27383951799732, \"precipitation\": 33.38647147375286, \"condition\": \"rain\"}, {\"temperature\": 5.670659801967243, \"wind\": 98.20197823012846, \"precipitation\": 93.72832557739356, \"condition\": \"snow\"}, {\"temperature\": -2.2776070811204505, \"wind\": 77.90443786588797, \"precipitation\": 50.102310147035375, \"condition\": \"drizzle\"}, {\"temperature\": 43.104548648992775, \"wind\": 74.77698982401796, \"precipitation\": 89.95647852559429, \"condition\": \"sun\"}, {\"temperature\": 1.8049661385207525, \"wind\": 91.29152261118769, \"precipitation\": 29.77145087552332, \"condition\": \"fog\"}, {\"temperature\": 14.327115187571408, \"wind\": 45.054261048821296, \"precipitation\": 17.654846400296798, \"condition\": \"drizzle\"}, {\"temperature\": 25.44797791508993, \"wind\": 22.265267642454656, \"precipitation\": 60.37929677885421, \"condition\": \"drizzle\"}, {\"temperature\": 11.19016835531465, \"wind\": 77.30294308487814, \"precipitation\": 71.65443847888368, \"condition\": \"snow\"}, {\"temperature\": 22.948827407585433, \"wind\": 27.03785915458824, \"precipitation\": 92.68901140573688, \"condition\": \"snow\"}, {\"temperature\": 33.16555388154543, \"wind\": 92.1292103045794, \"precipitation\": 39.10838647644195, \"condition\": \"snow\"}, {\"temperature\": 9.981393546660723, \"wind\": 66.73004528306666, \"precipitation\": 19.36957583451713, \"condition\": \"drizzle\"}, {\"temperature\": 2.837559858993796, \"wind\": 18.62443662393004, \"precipitation\": 57.42273968155751, \"condition\": \"sun\"}, {\"temperature\": 39.14290590745285, \"wind\": 32.52859013259527, \"precipitation\": 88.21897530715309, \"condition\": \"rain\"}, {\"temperature\": 39.2325438266719, \"wind\": 2.511353474345024, \"precipitation\": 78.95158173752907, \"condition\": \"fog\"}, {\"temperature\": 2.949456835649645, \"wind\": 1.9370157264502197, \"precipitation\": 3.5337114891518584, \"condition\": \"fog\"}, {\"temperature\": 28.422917308067277, \"wind\": 6.822434636914776, \"precipitation\": 84.5655158038795, \"condition\": \"fog\"}, {\"temperature\": 28.406344711783838, \"wind\": 95.25216996998444, \"precipitation\": 2.312429289727791, \"condition\": \"fog\"}, {\"temperature\": 23.929825809705775, \"wind\": 28.441727967722407, \"precipitation\": 94.94371547195382, \"condition\": \"drizzle\"}, {\"temperature\": 25.144603850494207, \"wind\": 5.7248518372133965, \"precipitation\": 72.55961327284773, \"condition\": \"drizzle\"}, {\"temperature\": -3.1069016270510676, \"wind\": 90.56068308052812, \"precipitation\": 8.208347981870512, \"condition\": \"rain\"}, {\"temperature\": 43.07443333444708, \"wind\": 63.33777651825151, \"precipitation\": 35.343598004733714, \"condition\": \"sun\"}, {\"temperature\": -8.715631484900875, \"wind\": 78.50049089036061, \"precipitation\": 16.726772866900042, \"condition\": \"fog\"}, {\"temperature\": 10.058625587365142, \"wind\": 82.55410159133031, \"precipitation\": 49.82193593499935, \"condition\": \"fog\"}, {\"temperature\": 27.912341883718938, \"wind\": 45.94389098129158, \"precipitation\": 87.71806691348185, \"condition\": \"sun\"}, {\"temperature\": 28.827008981675903, \"wind\": 14.352645600160752, \"precipitation\": 95.30777240838884, \"condition\": \"sun\"}, {\"temperature\": -5.245472855196331, \"wind\": 24.463633090927274, \"precipitation\": 63.1630488725617, \"condition\": \"fog\"}, {\"temperature\": -4.738627417736829, \"wind\": 87.61779675788263, \"precipitation\": 67.17488470646667, \"condition\": \"fog\"}, {\"temperature\": -1.6463371096382655, \"wind\": 34.15953757649686, \"precipitation\": 83.20021064524306, \"condition\": \"rain\"}, {\"temperature\": -8.671469939339552, \"wind\": 28.02148157701091, \"precipitation\": 8.858286414027772, \"condition\": \"snow\"}, {\"temperature\": 23.586980668182306, \"wind\": 32.61177727202879, \"precipitation\": 90.55384722692395, \"condition\": \"snow\"}, {\"temperature\": 42.93552301196303, \"wind\": 17.459007963452034, \"precipitation\": 76.26693620563219, \"condition\": \"sun\"}, {\"temperature\": 14.04271616398174, \"wind\": 31.44611970670743, \"precipitation\": 27.736449442339893, \"condition\": \"rain\"}, {\"temperature\": 33.93136729382773, \"wind\": 85.0980112392488, \"precipitation\": 48.72266227519502, \"condition\": \"fog\"}, {\"temperature\": 29.10713627050935, \"wind\": 25.401508775422734, \"precipitation\": 83.25120184383715, \"condition\": \"fog\"}, {\"temperature\": 23.33130010979005, \"wind\": 38.960479467358745, \"precipitation\": 84.8094568801428, \"condition\": \"rain\"}, {\"temperature\": 27.820447049966695, \"wind\": 97.47611794506456, \"precipitation\": 59.404606053602336, \"condition\": \"fog\"}, {\"temperature\": 24.704809156505995, \"wind\": 56.929461372432655, \"precipitation\": 16.583726619344496, \"condition\": \"drizzle\"}, {\"temperature\": 42.73839675123029, \"wind\": 19.024929246369528, \"precipitation\": 37.515692671204135, \"condition\": \"sun\"}, {\"temperature\": 39.73480992464111, \"wind\": 63.10268501376382, \"precipitation\": 15.20512544845365, \"condition\": \"fog\"}, {\"temperature\": 34.928857478491054, \"wind\": 44.34437827092474, \"precipitation\": 2.9919970218495684, \"condition\": \"sun\"}, {\"temperature\": 12.475457440238529, \"wind\": 45.63508245761745, \"precipitation\": 1.5684442569828705, \"condition\": \"fog\"}, {\"temperature\": 11.485742656702111, \"wind\": 35.43011450755876, \"precipitation\": 46.843314320146966, \"condition\": \"fog\"}, {\"temperature\": 16.58332024159822, \"wind\": 85.9387003246595, \"precipitation\": 67.67417859666371, \"condition\": \"sun\"}, {\"temperature\": 42.96961504747511, \"wind\": 61.02100908610409, \"precipitation\": 40.19537213295094, \"condition\": \"snow\"}, {\"temperature\": 43.01306682260888, \"wind\": 91.58796490357004, \"precipitation\": 10.242970289225461, \"condition\": \"sun\"}, {\"temperature\": 17.888206090116245, \"wind\": 29.82373325722851, \"precipitation\": 44.29455934969246, \"condition\": \"sun\"}, {\"temperature\": 13.700882757230424, \"wind\": 46.93705512034313, \"precipitation\": 76.07676796446637, \"condition\": \"rain\"}, {\"temperature\": 4.986331720563626, \"wind\": 81.90760931416689, \"precipitation\": 34.892239668746406, \"condition\": \"drizzle\"}, {\"temperature\": -1.4778346288931683, \"wind\": 3.9791854357363987, \"precipitation\": 7.535152538482148, \"condition\": \"drizzle\"}, {\"temperature\": 16.892161248783623, \"wind\": 31.993361074291926, \"precipitation\": 60.46401934620111, \"condition\": \"drizzle\"}, {\"temperature\": -7.17506030059671, \"wind\": 5.042336185555952, \"precipitation\": 88.35922403405787, \"condition\": \"drizzle\"}, {\"temperature\": 9.85908134441586, \"wind\": 48.491362316119236, \"precipitation\": 23.80248472573617, \"condition\": \"snow\"}, {\"temperature\": 28.54368725395195, \"wind\": 5.72748587709313, \"precipitation\": 25.974359374267742, \"condition\": \"drizzle\"}, {\"temperature\": 41.85044222939622, \"wind\": 3.311333417116047, \"precipitation\": 1.7918023488591839, \"condition\": \"snow\"}, {\"temperature\": 39.51847585775124, \"wind\": 89.64939452111453, \"precipitation\": 48.53950512768904, \"condition\": \"fog\"}, {\"temperature\": 4.1511791382858725, \"wind\": 58.14172937556887, \"precipitation\": 79.66452798481971, \"condition\": \"drizzle\"}, {\"temperature\": 7.316849144326355, \"wind\": 6.796864846855866, \"precipitation\": 33.619090549629306, \"condition\": \"snow\"}, {\"temperature\": -6.040726652488083, \"wind\": 24.37214720554359, \"precipitation\": 71.46568853073089, \"condition\": \"rain\"}, {\"temperature\": 28.05026452008928, \"wind\": 19.39989397387041, \"precipitation\": 71.68725771245654, \"condition\": \"drizzle\"}, {\"temperature\": 35.30623993317926, \"wind\": 66.54091843981752, \"precipitation\": 22.884049790672588, \"condition\": \"rain\"}, {\"temperature\": -9.078168118751755, \"wind\": 54.53321547753263, \"precipitation\": 66.43449936744369, \"condition\": \"sun\"}, {\"temperature\": 34.31111609068961, \"wind\": 92.79899053872957, \"precipitation\": 61.9431928594434, \"condition\": \"sun\"}, {\"temperature\": -0.5340863902706268, \"wind\": 89.18484464889846, \"precipitation\": 88.49655552922172, \"condition\": \"rain\"}, {\"temperature\": -7.331283732097262, \"wind\": 16.43300088620039, \"precipitation\": 92.15523633598885, \"condition\": \"drizzle\"}, {\"temperature\": 34.4512940591614, \"wind\": 16.982566694713043, \"precipitation\": 66.50391898652623, \"condition\": \"fog\"}, {\"temperature\": 2.292195972387347, \"wind\": 78.07758659490037, \"precipitation\": 85.08941323813521, \"condition\": \"snow\"}, {\"temperature\": 10.280188069701488, \"wind\": 64.37598506985243, \"precipitation\": 46.13428294966927, \"condition\": \"sun\"}, {\"temperature\": 14.385637791164196, \"wind\": 27.710246014732775, \"precipitation\": 82.18132103083111, \"condition\": \"rain\"}, {\"temperature\": 15.068929930658907, \"wind\": 90.37313777532859, \"precipitation\": 95.42688091272505, \"condition\": \"rain\"}, {\"temperature\": -5.931704200276687, \"wind\": 76.30697305192514, \"precipitation\": 48.17926018036856, \"condition\": \"drizzle\"}, {\"temperature\": -1.2238906425326128, \"wind\": 77.25655113115953, \"precipitation\": 12.189057445370022, \"condition\": \"sun\"}, {\"temperature\": 17.981273164150583, \"wind\": 99.8855194023956, \"precipitation\": 5.951490853046981, \"condition\": \"drizzle\"}, {\"temperature\": 8.333054222089164, \"wind\": 22.351144710727677, \"precipitation\": 1.9907985646430038, \"condition\": \"rain\"}, {\"temperature\": 40.99117292213711, \"wind\": 12.537186007473021, \"precipitation\": 3.0957134444521195, \"condition\": \"drizzle\"}, {\"temperature\": 36.29560583814439, \"wind\": 47.282861379528676, \"precipitation\": 50.72175472263106, \"condition\": \"fog\"}, {\"temperature\": 8.011942225789358, \"wind\": 80.64679426688298, \"precipitation\": 84.74031260132877, \"condition\": \"sun\"}, {\"temperature\": 32.64189921238727, \"wind\": 78.38867921926278, \"precipitation\": 94.27015659699374, \"condition\": \"fog\"}, {\"temperature\": -4.159829210634211, \"wind\": 53.39060475873939, \"precipitation\": 50.60795287404672, \"condition\": \"fog\"}, {\"temperature\": -6.602296737522483, \"wind\": 86.55899134629715, \"precipitation\": 62.64697378600636, \"condition\": \"fog\"}, {\"temperature\": 40.135239145180655, \"wind\": 16.633704419495032, \"precipitation\": 41.391087682479736, \"condition\": \"drizzle\"}, {\"temperature\": 26.95881305440288, \"wind\": 85.8809786017975, \"precipitation\": 71.9617762842435, \"condition\": \"drizzle\"}, {\"temperature\": 11.92991543604046, \"wind\": 76.39140196294017, \"precipitation\": 60.40612399492309, \"condition\": \"drizzle\"}, {\"temperature\": 19.566301202766702, \"wind\": 72.97802286558691, \"precipitation\": 29.681848692175006, \"condition\": \"drizzle\"}, {\"temperature\": 10.481864045771506, \"wind\": 10.269367839292642, \"precipitation\": 85.87287289024248, \"condition\": \"rain\"}, {\"temperature\": -9.620152753805623, \"wind\": 64.57630699894213, \"precipitation\": 29.06583641537993, \"condition\": \"drizzle\"}, {\"temperature\": 24.85823346816882, \"wind\": 64.44200648973889, \"precipitation\": 32.79358601401415, \"condition\": \"sun\"}, {\"temperature\": -9.71401231081625, \"wind\": 46.94482107365025, \"precipitation\": 71.95828763550503, \"condition\": \"rain\"}, {\"temperature\": 15.802582568794556, \"wind\": 5.568264782160037, \"precipitation\": 16.50277435360922, \"condition\": \"sun\"}, {\"temperature\": 29.44740698845427, \"wind\": 66.4224540835048, \"precipitation\": 96.91347272575433, \"condition\": \"snow\"}, {\"temperature\": 0.1789559651072139, \"wind\": 37.144396583281235, \"precipitation\": 7.3927878065009445, \"condition\": \"snow\"}, {\"temperature\": 37.90262114384076, \"wind\": 23.744567572534315, \"precipitation\": 85.44013318397162, \"condition\": \"fog\"}, {\"temperature\": 40.40503203411964, \"wind\": 71.68155336881077, \"precipitation\": 91.260802513042, \"condition\": \"snow\"}, {\"temperature\": 2.723433474361908, \"wind\": 5.85694236985378, \"precipitation\": 54.0295184169758, \"condition\": \"drizzle\"}, {\"temperature\": 9.452609321039336, \"wind\": 52.7843932253772, \"precipitation\": 90.04450333194686, \"condition\": \"fog\"}, {\"temperature\": 18.909153974667404, \"wind\": 13.725377509230263, \"precipitation\": 34.56974350594094, \"condition\": \"sun\"}]}}, {\"mode\": \"vega-lite\"});\n",
-       "</script>"
-      ],
-      "text/plain": [
-       "alt.LayerChart(...)"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "base = alt.Chart(df)\n",
-    "bar = base.mark_bar().encode(\n",
-    "    x=alt.X(\n",
-    "        field=\"temperature\",\n",
-    "        type=\"quantitative\",\n",
-    "        aggregate=\"mean\",\n",
-    "        scale=alt.Scale(type=\"linear\", zero=True),\n",
-    "    ),\n",
-    ")\n",
-    "tick = base.mark_tick().encode(\n",
-    "    x=alt.X(\n",
-    "        field=\"temperature\",\n",
-    "        type=\"quantitative\",\n",
-    "        scale=alt.Scale(type=\"linear\", zero=True),\n",
-    "    ),\n",
-    ")\n",
-    "display_chart(bar + tick)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Facets"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### Facet Scatterplot into Columns"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 32,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "{'field': [{'name': 'temperature', 'type': 'number'},\n",
-      "           {'name': 'wind', 'type': 'number'},\n",
-      "           {'name': 'condition', 'type': 'string'}],\n",
-      " 'number_rows': 100,\n",
-      " 'view': [{'facet': [{'channel': 'col', 'field': 'condition'}],\n",
-      "           'mark': [{'encoding': [{'channel': 'x', 'field': 'temperature'},\n",
-      "                                  {'channel': 'y', 'field': 'wind'}],\n",
-      "                     'type': 'point'}],\n",
-      "           'scale': [{'channel': 'x', 'type': 'linear'},\n",
-      "                     {'channel': 'y', 'type': 'linear'}]}]}\n"
-     ]
-    }
-   ],
-   "source": [
-    "facts = [\n",
-    "    \"attribute(number_rows,root,100).\",\n",
-    "    \"entity(field,root,temperature).\",\n",
-    "    \"attribute((field,name),temperature,temperature).\",\n",
-    "    \"attribute((field,type),temperature,number).\",\n",
-    "    \"entity(field,root,wind).\",\n",
-    "    \"attribute((field,name),wind,wind).\",\n",
-    "    \"attribute((field,type),wind,number).\",\n",
-    "    \"entity(field,root,condition).\",\n",
-    "    \"attribute((field,name),condition,condition).\",\n",
-    "    \"attribute((field,type),condition,string).\",\n",
-    "    \"entity(view,root,0).\",\n",
-    "    \"entity(mark,0,1).\",\n",
-    "    \"attribute((mark,type),1,point).\",\n",
-    "    \"entity(encoding,1,2).\",\n",
-    "    \"attribute((encoding,channel),2,x).\",\n",
-    "    \"attribute((encoding,field),2,temperature).\",\n",
-    "    \"entity(encoding,1,3).\",\n",
-    "    \"attribute((encoding,channel),3,y).\",\n",
-    "    \"attribute((encoding,field),3,wind).\",\n",
-    "    \"entity(scale,0,4).\",\n",
-    "    \"attribute((scale,channel),4,x).\",\n",
-    "    \"attribute((scale,type),4,linear).\",\n",
-    "    \"entity(scale,0,5).\",\n",
-    "    \"attribute((scale,channel),5,y).\",\n",
-    "    \"attribute((scale,type),5,linear).\",\n",
-    "    \"entity(facet,0,6).\",\n",
-    "    \"attribute((facet,channel),6,col).\",\n",
-    "    \"attribute((facet,field),6,condition).\",\n",
-    "]\n",
-    "spec = facts_to_dict(facts)\n",
-    "pprint(spec)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 33,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "{'$schema': 'https://vega.github.io/schema/vega-lite/v4.17.0.json',\n",
-      " 'config': {'view': {'continuousHeight': 300, 'continuousWidth': 400}},\n",
-      " 'facet': {'column': {'field': 'condition', 'type': 'nominal'}},\n",
-      " 'spec': {'encoding': {'x': {'field': 'temperature', 'type': 'quantitative'},\n",
-      "                       'y': {'field': 'wind', 'type': 'quantitative'}},\n",
-      "          'mark': 'point'}}\n"
-     ]
-    },
-    {
-     "data": {
-      "text/html": [
-       "\n",
-       "<div id=\"altair-viz-78c0ce065a314936aedb0821d8e70086\"></div>\n",
-       "<script type=\"text/javascript\">\n",
-       "  var VEGA_DEBUG = (typeof VEGA_DEBUG == \"undefined\") ? {} : VEGA_DEBUG;\n",
-       "  (function(spec, embedOpt){\n",
-       "    let outputDiv = document.currentScript.previousElementSibling;\n",
-       "    if (outputDiv.id !== \"altair-viz-78c0ce065a314936aedb0821d8e70086\") {\n",
-       "      outputDiv = document.getElementById(\"altair-viz-78c0ce065a314936aedb0821d8e70086\");\n",
-       "    }\n",
-       "    const paths = {\n",
-       "      \"vega\": \"https://cdn.jsdelivr.net/npm//vega@5?noext\",\n",
-       "      \"vega-lib\": \"https://cdn.jsdelivr.net/npm//vega-lib?noext\",\n",
-       "      \"vega-lite\": \"https://cdn.jsdelivr.net/npm//vega-lite@4.17.0?noext\",\n",
-       "      \"vega-embed\": \"https://cdn.jsdelivr.net/npm//vega-embed@6?noext\",\n",
-       "    };\n",
-       "\n",
-       "    function maybeLoadScript(lib, version) {\n",
-       "      var key = `${lib.replace(\"-\", \"\")}_version`;\n",
-       "      return (VEGA_DEBUG[key] == version) ?\n",
-       "        Promise.resolve(paths[lib]) :\n",
-       "        new Promise(function(resolve, reject) {\n",
-       "          var s = document.createElement('script');\n",
-       "          document.getElementsByTagName(\"head\")[0].appendChild(s);\n",
-       "          s.async = true;\n",
-       "          s.onload = () => {\n",
-       "            VEGA_DEBUG[key] = version;\n",
-       "            return resolve(paths[lib]);\n",
-       "          };\n",
-       "          s.onerror = () => reject(`Error loading script: ${paths[lib]}`);\n",
-       "          s.src = paths[lib];\n",
-       "        });\n",
-       "    }\n",
-       "\n",
-       "    function showError(err) {\n",
-       "      outputDiv.innerHTML = `<div class=\"error\" style=\"color:red;\">${err}</div>`;\n",
-       "      throw err;\n",
-       "    }\n",
-       "\n",
-       "    function displayChart(vegaEmbed) {\n",
-       "      vegaEmbed(outputDiv, spec, embedOpt)\n",
-       "        .catch(err => showError(`Javascript Error: ${err.message}<br>This usually means there's a typo in your chart specification. See the javascript console for the full traceback.`));\n",
-       "    }\n",
-       "\n",
-       "    if(typeof define === \"function\" && define.amd) {\n",
-       "      requirejs.config({paths});\n",
-       "      require([\"vega-embed\"], displayChart, err => showError(`Error loading script: ${err.message}`));\n",
-       "    } else {\n",
-       "      maybeLoadScript(\"vega\", \"5\")\n",
-       "        .then(() => maybeLoadScript(\"vega-lite\", \"4.17.0\"))\n",
-       "        .then(() => maybeLoadScript(\"vega-embed\", \"6\"))\n",
-       "        .catch(showError)\n",
-       "        .then(() => displayChart(vegaEmbed));\n",
-       "    }\n",
-       "  })({\"config\": {\"view\": {\"continuousWidth\": 400, \"continuousHeight\": 300}}, \"data\": {\"name\": \"data-124c435c1b687eb7890344117a1c86b4\"}, \"facet\": {\"column\": {\"field\": \"condition\", \"type\": \"nominal\"}}, \"spec\": {\"mark\": \"point\", \"encoding\": {\"x\": {\"field\": \"temperature\", \"type\": \"quantitative\"}, \"y\": {\"field\": \"wind\", \"type\": \"quantitative\"}}}, \"$schema\": \"https://vega.github.io/schema/vega-lite/v4.17.0.json\", \"datasets\": {\"data-124c435c1b687eb7890344117a1c86b4\": [{\"temperature\": 17.89365303788651, \"wind\": 78.75685633883592, \"precipitation\": 41.61124606702779, \"condition\": \"rain\"}, {\"temperature\": 5.622818441769336, \"wind\": 25.421998841055917, \"precipitation\": 74.90555083684964, \"condition\": \"rain\"}, {\"temperature\": 23.3902094090436, \"wind\": 9.846103163487696, \"precipitation\": 81.33536438710783, \"condition\": \"rain\"}, {\"temperature\": 20.889554427248395, \"wind\": 27.53521295661492, \"precipitation\": 27.6549324712597, \"condition\": \"drizzle\"}, {\"temperature\": 33.91026207788065, \"wind\": 97.91032820138525, \"precipitation\": 36.53494267552425, \"condition\": \"snow\"}, {\"temperature\": 39.65611406756084, \"wind\": 24.27383951799732, \"precipitation\": 33.38647147375286, \"condition\": \"rain\"}, {\"temperature\": 5.670659801967243, \"wind\": 98.20197823012846, \"precipitation\": 93.72832557739356, \"condition\": \"snow\"}, {\"temperature\": -2.2776070811204505, \"wind\": 77.90443786588797, \"precipitation\": 50.102310147035375, \"condition\": \"drizzle\"}, {\"temperature\": 43.104548648992775, \"wind\": 74.77698982401796, \"precipitation\": 89.95647852559429, \"condition\": \"sun\"}, {\"temperature\": 1.8049661385207525, \"wind\": 91.29152261118769, \"precipitation\": 29.77145087552332, \"condition\": \"fog\"}, {\"temperature\": 14.327115187571408, \"wind\": 45.054261048821296, \"precipitation\": 17.654846400296798, \"condition\": \"drizzle\"}, {\"temperature\": 25.44797791508993, \"wind\": 22.265267642454656, \"precipitation\": 60.37929677885421, \"condition\": \"drizzle\"}, {\"temperature\": 11.19016835531465, \"wind\": 77.30294308487814, \"precipitation\": 71.65443847888368, \"condition\": \"snow\"}, {\"temperature\": 22.948827407585433, \"wind\": 27.03785915458824, \"precipitation\": 92.68901140573688, \"condition\": \"snow\"}, {\"temperature\": 33.16555388154543, \"wind\": 92.1292103045794, \"precipitation\": 39.10838647644195, \"condition\": \"snow\"}, {\"temperature\": 9.981393546660723, \"wind\": 66.73004528306666, \"precipitation\": 19.36957583451713, \"condition\": \"drizzle\"}, {\"temperature\": 2.837559858993796, \"wind\": 18.62443662393004, \"precipitation\": 57.42273968155751, \"condition\": \"sun\"}, {\"temperature\": 39.14290590745285, \"wind\": 32.52859013259527, \"precipitation\": 88.21897530715309, \"condition\": \"rain\"}, {\"temperature\": 39.2325438266719, \"wind\": 2.511353474345024, \"precipitation\": 78.95158173752907, \"condition\": \"fog\"}, {\"temperature\": 2.949456835649645, \"wind\": 1.9370157264502197, \"precipitation\": 3.5337114891518584, \"condition\": \"fog\"}, {\"temperature\": 28.422917308067277, \"wind\": 6.822434636914776, \"precipitation\": 84.5655158038795, \"condition\": \"fog\"}, {\"temperature\": 28.406344711783838, \"wind\": 95.25216996998444, \"precipitation\": 2.312429289727791, \"condition\": \"fog\"}, {\"temperature\": 23.929825809705775, \"wind\": 28.441727967722407, \"precipitation\": 94.94371547195382, \"condition\": \"drizzle\"}, {\"temperature\": 25.144603850494207, \"wind\": 5.7248518372133965, \"precipitation\": 72.55961327284773, \"condition\": \"drizzle\"}, {\"temperature\": -3.1069016270510676, \"wind\": 90.56068308052812, \"precipitation\": 8.208347981870512, \"condition\": \"rain\"}, {\"temperature\": 43.07443333444708, \"wind\": 63.33777651825151, \"precipitation\": 35.343598004733714, \"condition\": \"sun\"}, {\"temperature\": -8.715631484900875, \"wind\": 78.50049089036061, \"precipitation\": 16.726772866900042, \"condition\": \"fog\"}, {\"temperature\": 10.058625587365142, \"wind\": 82.55410159133031, \"precipitation\": 49.82193593499935, \"condition\": \"fog\"}, {\"temperature\": 27.912341883718938, \"wind\": 45.94389098129158, \"precipitation\": 87.71806691348185, \"condition\": \"sun\"}, {\"temperature\": 28.827008981675903, \"wind\": 14.352645600160752, \"precipitation\": 95.30777240838884, \"condition\": \"sun\"}, {\"temperature\": -5.245472855196331, \"wind\": 24.463633090927274, \"precipitation\": 63.1630488725617, \"condition\": \"fog\"}, {\"temperature\": -4.738627417736829, \"wind\": 87.61779675788263, \"precipitation\": 67.17488470646667, \"condition\": \"fog\"}, {\"temperature\": -1.6463371096382655, \"wind\": 34.15953757649686, \"precipitation\": 83.20021064524306, \"condition\": \"rain\"}, {\"temperature\": -8.671469939339552, \"wind\": 28.02148157701091, \"precipitation\": 8.858286414027772, \"condition\": \"snow\"}, {\"temperature\": 23.586980668182306, \"wind\": 32.61177727202879, \"precipitation\": 90.55384722692395, \"condition\": \"snow\"}, {\"temperature\": 42.93552301196303, \"wind\": 17.459007963452034, \"precipitation\": 76.26693620563219, \"condition\": \"sun\"}, {\"temperature\": 14.04271616398174, \"wind\": 31.44611970670743, \"precipitation\": 27.736449442339893, \"condition\": \"rain\"}, {\"temperature\": 33.93136729382773, \"wind\": 85.0980112392488, \"precipitation\": 48.72266227519502, \"condition\": \"fog\"}, {\"temperature\": 29.10713627050935, \"wind\": 25.401508775422734, \"precipitation\": 83.25120184383715, \"condition\": \"fog\"}, {\"temperature\": 23.33130010979005, \"wind\": 38.960479467358745, \"precipitation\": 84.8094568801428, \"condition\": \"rain\"}, {\"temperature\": 27.820447049966695, \"wind\": 97.47611794506456, \"precipitation\": 59.404606053602336, \"condition\": \"fog\"}, {\"temperature\": 24.704809156505995, \"wind\": 56.929461372432655, \"precipitation\": 16.583726619344496, \"condition\": \"drizzle\"}, {\"temperature\": 42.73839675123029, \"wind\": 19.024929246369528, \"precipitation\": 37.515692671204135, \"condition\": \"sun\"}, {\"temperature\": 39.73480992464111, \"wind\": 63.10268501376382, \"precipitation\": 15.20512544845365, \"condition\": \"fog\"}, {\"temperature\": 34.928857478491054, \"wind\": 44.34437827092474, \"precipitation\": 2.9919970218495684, \"condition\": \"sun\"}, {\"temperature\": 12.475457440238529, \"wind\": 45.63508245761745, \"precipitation\": 1.5684442569828705, \"condition\": \"fog\"}, {\"temperature\": 11.485742656702111, \"wind\": 35.43011450755876, \"precipitation\": 46.843314320146966, \"condition\": \"fog\"}, {\"temperature\": 16.58332024159822, \"wind\": 85.9387003246595, \"precipitation\": 67.67417859666371, \"condition\": \"sun\"}, {\"temperature\": 42.96961504747511, \"wind\": 61.02100908610409, \"precipitation\": 40.19537213295094, \"condition\": \"snow\"}, {\"temperature\": 43.01306682260888, \"wind\": 91.58796490357004, \"precipitation\": 10.242970289225461, \"condition\": \"sun\"}, {\"temperature\": 17.888206090116245, \"wind\": 29.82373325722851, \"precipitation\": 44.29455934969246, \"condition\": \"sun\"}, {\"temperature\": 13.700882757230424, \"wind\": 46.93705512034313, \"precipitation\": 76.07676796446637, \"condition\": \"rain\"}, {\"temperature\": 4.986331720563626, \"wind\": 81.90760931416689, \"precipitation\": 34.892239668746406, \"condition\": \"drizzle\"}, {\"temperature\": -1.4778346288931683, \"wind\": 3.9791854357363987, \"precipitation\": 7.535152538482148, \"condition\": \"drizzle\"}, {\"temperature\": 16.892161248783623, \"wind\": 31.993361074291926, \"precipitation\": 60.46401934620111, \"condition\": \"drizzle\"}, {\"temperature\": -7.17506030059671, \"wind\": 5.042336185555952, \"precipitation\": 88.35922403405787, \"condition\": \"drizzle\"}, {\"temperature\": 9.85908134441586, \"wind\": 48.491362316119236, \"precipitation\": 23.80248472573617, \"condition\": \"snow\"}, {\"temperature\": 28.54368725395195, \"wind\": 5.72748587709313, \"precipitation\": 25.974359374267742, \"condition\": \"drizzle\"}, {\"temperature\": 41.85044222939622, \"wind\": 3.311333417116047, \"precipitation\": 1.7918023488591839, \"condition\": \"snow\"}, {\"temperature\": 39.51847585775124, \"wind\": 89.64939452111453, \"precipitation\": 48.53950512768904, \"condition\": \"fog\"}, {\"temperature\": 4.1511791382858725, \"wind\": 58.14172937556887, \"precipitation\": 79.66452798481971, \"condition\": \"drizzle\"}, {\"temperature\": 7.316849144326355, \"wind\": 6.796864846855866, \"precipitation\": 33.619090549629306, \"condition\": \"snow\"}, {\"temperature\": -6.040726652488083, \"wind\": 24.37214720554359, \"precipitation\": 71.46568853073089, \"condition\": \"rain\"}, {\"temperature\": 28.05026452008928, \"wind\": 19.39989397387041, \"precipitation\": 71.68725771245654, \"condition\": \"drizzle\"}, {\"temperature\": 35.30623993317926, \"wind\": 66.54091843981752, \"precipitation\": 22.884049790672588, \"condition\": \"rain\"}, {\"temperature\": -9.078168118751755, \"wind\": 54.53321547753263, \"precipitation\": 66.43449936744369, \"condition\": \"sun\"}, {\"temperature\": 34.31111609068961, \"wind\": 92.79899053872957, \"precipitation\": 61.9431928594434, \"condition\": \"sun\"}, {\"temperature\": -0.5340863902706268, \"wind\": 89.18484464889846, \"precipitation\": 88.49655552922172, \"condition\": \"rain\"}, {\"temperature\": -7.331283732097262, \"wind\": 16.43300088620039, \"precipitation\": 92.15523633598885, \"condition\": \"drizzle\"}, {\"temperature\": 34.4512940591614, \"wind\": 16.982566694713043, \"precipitation\": 66.50391898652623, \"condition\": \"fog\"}, {\"temperature\": 2.292195972387347, \"wind\": 78.07758659490037, \"precipitation\": 85.08941323813521, \"condition\": \"snow\"}, {\"temperature\": 10.280188069701488, \"wind\": 64.37598506985243, \"precipitation\": 46.13428294966927, \"condition\": \"sun\"}, {\"temperature\": 14.385637791164196, \"wind\": 27.710246014732775, \"precipitation\": 82.18132103083111, \"condition\": \"rain\"}, {\"temperature\": 15.068929930658907, \"wind\": 90.37313777532859, \"precipitation\": 95.42688091272505, \"condition\": \"rain\"}, {\"temperature\": -5.931704200276687, \"wind\": 76.30697305192514, \"precipitation\": 48.17926018036856, \"condition\": \"drizzle\"}, {\"temperature\": -1.2238906425326128, \"wind\": 77.25655113115953, \"precipitation\": 12.189057445370022, \"condition\": \"sun\"}, {\"temperature\": 17.981273164150583, \"wind\": 99.8855194023956, \"precipitation\": 5.951490853046981, \"condition\": \"drizzle\"}, {\"temperature\": 8.333054222089164, \"wind\": 22.351144710727677, \"precipitation\": 1.9907985646430038, \"condition\": \"rain\"}, {\"temperature\": 40.99117292213711, \"wind\": 12.537186007473021, \"precipitation\": 3.0957134444521195, \"condition\": \"drizzle\"}, {\"temperature\": 36.29560583814439, \"wind\": 47.282861379528676, \"precipitation\": 50.72175472263106, \"condition\": \"fog\"}, {\"temperature\": 8.011942225789358, \"wind\": 80.64679426688298, \"precipitation\": 84.74031260132877, \"condition\": \"sun\"}, {\"temperature\": 32.64189921238727, \"wind\": 78.38867921926278, \"precipitation\": 94.27015659699374, \"condition\": \"fog\"}, {\"temperature\": -4.159829210634211, \"wind\": 53.39060475873939, \"precipitation\": 50.60795287404672, \"condition\": \"fog\"}, {\"temperature\": -6.602296737522483, \"wind\": 86.55899134629715, \"precipitation\": 62.64697378600636, \"condition\": \"fog\"}, {\"temperature\": 40.135239145180655, \"wind\": 16.633704419495032, \"precipitation\": 41.391087682479736, \"condition\": \"drizzle\"}, {\"temperature\": 26.95881305440288, \"wind\": 85.8809786017975, \"precipitation\": 71.9617762842435, \"condition\": \"drizzle\"}, {\"temperature\": 11.92991543604046, \"wind\": 76.39140196294017, \"precipitation\": 60.40612399492309, \"condition\": \"drizzle\"}, {\"temperature\": 19.566301202766702, \"wind\": 72.97802286558691, \"precipitation\": 29.681848692175006, \"condition\": \"drizzle\"}, {\"temperature\": 10.481864045771506, \"wind\": 10.269367839292642, \"precipitation\": 85.87287289024248, \"condition\": \"rain\"}, {\"temperature\": -9.620152753805623, \"wind\": 64.57630699894213, \"precipitation\": 29.06583641537993, \"condition\": \"drizzle\"}, {\"temperature\": 24.85823346816882, \"wind\": 64.44200648973889, \"precipitation\": 32.79358601401415, \"condition\": \"sun\"}, {\"temperature\": -9.71401231081625, \"wind\": 46.94482107365025, \"precipitation\": 71.95828763550503, \"condition\": \"rain\"}, {\"temperature\": 15.802582568794556, \"wind\": 5.568264782160037, \"precipitation\": 16.50277435360922, \"condition\": \"sun\"}, {\"temperature\": 29.44740698845427, \"wind\": 66.4224540835048, \"precipitation\": 96.91347272575433, \"condition\": \"snow\"}, {\"temperature\": 0.1789559651072139, \"wind\": 37.144396583281235, \"precipitation\": 7.3927878065009445, \"condition\": \"snow\"}, {\"temperature\": 37.90262114384076, \"wind\": 23.744567572534315, \"precipitation\": 85.44013318397162, \"condition\": \"fog\"}, {\"temperature\": 40.40503203411964, \"wind\": 71.68155336881077, \"precipitation\": 91.260802513042, \"condition\": \"snow\"}, {\"temperature\": 2.723433474361908, \"wind\": 5.85694236985378, \"precipitation\": 54.0295184169758, \"condition\": \"drizzle\"}, {\"temperature\": 9.452609321039336, \"wind\": 52.7843932253772, \"precipitation\": 90.04450333194686, \"condition\": \"fog\"}, {\"temperature\": 18.909153974667404, \"wind\": 13.725377509230263, \"precipitation\": 34.56974350594094, \"condition\": \"sun\"}]}}, {\"mode\": \"vega-lite\"});\n",
-       "</script>"
-      ],
-      "text/plain": [
-       "alt.FacetChart(...)"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "base = alt.Chart(df)\n",
-    "point = base.mark_point().encode(\n",
-    "    x=alt.X(field=\"temperature\", type=\"quantitative\"),\n",
-    "    y=alt.Y(field=\"wind\", type=\"quantitative\"),\n",
-    ")\n",
-    "facet = point.facet(column=alt.Column(field=\"condition\", type=\"nominal\"))\n",
-    "display_chart(facet)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### Facet Scatterplot by Binned Data into Columns"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 34,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "{'field': [{'name': 'temperature', 'type': 'number'},\n",
-      "           {'name': 'wind', 'type': 'number'},\n",
-      "           {'name': 'condition', 'type': 'string'}],\n",
-      " 'number_rows': 100,\n",
-      " 'view': [{'facet': [{'binning': 10, 'channel': 'col', 'field': 'temperature'}],\n",
-      "           'mark': [{'encoding': [{'channel': 'x', 'field': 'condition'},\n",
-      "                                  {'channel': 'y', 'field': 'wind'}],\n",
-      "                     'type': 'point'}],\n",
-      "           'scale': [{'channel': 'x', 'type': 'ordinal'},\n",
-      "                     {'channel': 'y', 'type': 'linear'}]}]}\n"
-     ]
-    }
-   ],
-   "source": [
-    "facts = [\n",
-    "    \"attribute(number_rows,root,100).\",\n",
-    "    \"entity(field,root,temperature).\",\n",
-    "    \"attribute((field,name),temperature,temperature).\",\n",
-    "    \"attribute((field,type),temperature,number).\",\n",
-    "    \"entity(field,root,wind).\",\n",
-    "    \"attribute((field,name),wind,wind).\",\n",
-    "    \"attribute((field,type),wind,number).\",\n",
-    "    \"entity(field,root,condition).\",\n",
-    "    \"attribute((field,name),condition,condition).\",\n",
-    "    \"attribute((field,type),condition,string).\",\n",
-    "    \"entity(view,root,0).\",\n",
-    "    \"entity(mark,0,1).\",\n",
-    "    \"attribute((mark,type),1,point).\",\n",
-    "    \"entity(encoding,1,2).\",\n",
-    "    \"attribute((encoding,channel),2,x).\",\n",
-    "    \"attribute((encoding,field),2,condition).\",\n",
-    "    \"entity(encoding,1,3).\",\n",
-    "    \"attribute((encoding,channel),3,y).\",\n",
-    "    \"attribute((encoding,field),3,wind).\",\n",
-    "    \"entity(scale,0,4).\",\n",
-    "    \"attribute((scale,channel),4,x).\",\n",
-    "    \"attribute((scale,type),4,ordinal).\",\n",
-    "    \"entity(scale,0,5).\",\n",
-    "    \"attribute((scale,channel),5,y).\",\n",
-    "    \"attribute((scale,type),5,linear).\",\n",
-    "    \"entity(facet,0,6).\",\n",
-    "    \"attribute((facet,channel),6,col).\",\n",
-    "    \"attribute((facet,field),6,temperature).\",\n",
-    "    \"attribute((facet,binning),6,10).\",\n",
-    "]\n",
-    "spec = facts_to_dict(facts)\n",
-    "pprint(spec)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 35,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "{'$schema': 'https://vega.github.io/schema/vega-lite/v4.17.0.json',\n",
-      " 'config': {'view': {'continuousHeight': 300, 'continuousWidth': 400}},\n",
-      " 'facet': {'column': {'bin': {'maxbins': 10},\n",
-      "                      'field': 'temperature',\n",
-      "                      'type': 'quantitative'}},\n",
-      " 'spec': {'encoding': {'x': {'field': 'condition',\n",
-      "                             'scale': {'type': 'ordinal'},\n",
-      "                             'type': 'nominal'},\n",
-      "                       'y': {'field': 'wind',\n",
-      "                             'scale': {'type': 'linear'},\n",
-      "                             'type': 'quantitative'}},\n",
-      "          'mark': 'point'}}\n"
-     ]
-    },
-    {
-     "data": {
-      "text/html": [
-       "\n",
-       "<div id=\"altair-viz-c5fe3d16deb44be486d19b73d85fc6db\"></div>\n",
-       "<script type=\"text/javascript\">\n",
-       "  var VEGA_DEBUG = (typeof VEGA_DEBUG == \"undefined\") ? {} : VEGA_DEBUG;\n",
-       "  (function(spec, embedOpt){\n",
-       "    let outputDiv = document.currentScript.previousElementSibling;\n",
-       "    if (outputDiv.id !== \"altair-viz-c5fe3d16deb44be486d19b73d85fc6db\") {\n",
-       "      outputDiv = document.getElementById(\"altair-viz-c5fe3d16deb44be486d19b73d85fc6db\");\n",
-       "    }\n",
-       "    const paths = {\n",
-       "      \"vega\": \"https://cdn.jsdelivr.net/npm//vega@5?noext\",\n",
-       "      \"vega-lib\": \"https://cdn.jsdelivr.net/npm//vega-lib?noext\",\n",
-       "      \"vega-lite\": \"https://cdn.jsdelivr.net/npm//vega-lite@4.17.0?noext\",\n",
-       "      \"vega-embed\": \"https://cdn.jsdelivr.net/npm//vega-embed@6?noext\",\n",
-       "    };\n",
-       "\n",
-       "    function maybeLoadScript(lib, version) {\n",
-       "      var key = `${lib.replace(\"-\", \"\")}_version`;\n",
-       "      return (VEGA_DEBUG[key] == version) ?\n",
-       "        Promise.resolve(paths[lib]) :\n",
-       "        new Promise(function(resolve, reject) {\n",
-       "          var s = document.createElement('script');\n",
-       "          document.getElementsByTagName(\"head\")[0].appendChild(s);\n",
-       "          s.async = true;\n",
-       "          s.onload = () => {\n",
-       "            VEGA_DEBUG[key] = version;\n",
-       "            return resolve(paths[lib]);\n",
-       "          };\n",
-       "          s.onerror = () => reject(`Error loading script: ${paths[lib]}`);\n",
-       "          s.src = paths[lib];\n",
-       "        });\n",
-       "    }\n",
-       "\n",
-       "    function showError(err) {\n",
-       "      outputDiv.innerHTML = `<div class=\"error\" style=\"color:red;\">${err}</div>`;\n",
-       "      throw err;\n",
-       "    }\n",
-       "\n",
-       "    function displayChart(vegaEmbed) {\n",
-       "      vegaEmbed(outputDiv, spec, embedOpt)\n",
-       "        .catch(err => showError(`Javascript Error: ${err.message}<br>This usually means there's a typo in your chart specification. See the javascript console for the full traceback.`));\n",
-       "    }\n",
-       "\n",
-       "    if(typeof define === \"function\" && define.amd) {\n",
-       "      requirejs.config({paths});\n",
-       "      require([\"vega-embed\"], displayChart, err => showError(`Error loading script: ${err.message}`));\n",
-       "    } else {\n",
-       "      maybeLoadScript(\"vega\", \"5\")\n",
-       "        .then(() => maybeLoadScript(\"vega-lite\", \"4.17.0\"))\n",
-       "        .then(() => maybeLoadScript(\"vega-embed\", \"6\"))\n",
-       "        .catch(showError)\n",
-       "        .then(() => displayChart(vegaEmbed));\n",
-       "    }\n",
-       "  })({\"config\": {\"view\": {\"continuousWidth\": 400, \"continuousHeight\": 300}}, \"data\": {\"name\": \"data-124c435c1b687eb7890344117a1c86b4\"}, \"facet\": {\"column\": {\"bin\": {\"maxbins\": 10}, \"field\": \"temperature\", \"type\": \"quantitative\"}}, \"spec\": {\"mark\": \"point\", \"encoding\": {\"x\": {\"field\": \"condition\", \"scale\": {\"type\": \"ordinal\"}, \"type\": \"nominal\"}, \"y\": {\"field\": \"wind\", \"scale\": {\"type\": \"linear\"}, \"type\": \"quantitative\"}}}, \"$schema\": \"https://vega.github.io/schema/vega-lite/v4.17.0.json\", \"datasets\": {\"data-124c435c1b687eb7890344117a1c86b4\": [{\"temperature\": 17.89365303788651, \"wind\": 78.75685633883592, \"precipitation\": 41.61124606702779, \"condition\": \"rain\"}, {\"temperature\": 5.622818441769336, \"wind\": 25.421998841055917, \"precipitation\": 74.90555083684964, \"condition\": \"rain\"}, {\"temperature\": 23.3902094090436, \"wind\": 9.846103163487696, \"precipitation\": 81.33536438710783, \"condition\": \"rain\"}, {\"temperature\": 20.889554427248395, \"wind\": 27.53521295661492, \"precipitation\": 27.6549324712597, \"condition\": \"drizzle\"}, {\"temperature\": 33.91026207788065, \"wind\": 97.91032820138525, \"precipitation\": 36.53494267552425, \"condition\": \"snow\"}, {\"temperature\": 39.65611406756084, \"wind\": 24.27383951799732, \"precipitation\": 33.38647147375286, \"condition\": \"rain\"}, {\"temperature\": 5.670659801967243, \"wind\": 98.20197823012846, \"precipitation\": 93.72832557739356, \"condition\": \"snow\"}, {\"temperature\": -2.2776070811204505, \"wind\": 77.90443786588797, \"precipitation\": 50.102310147035375, \"condition\": \"drizzle\"}, {\"temperature\": 43.104548648992775, \"wind\": 74.77698982401796, \"precipitation\": 89.95647852559429, \"condition\": \"sun\"}, {\"temperature\": 1.8049661385207525, \"wind\": 91.29152261118769, \"precipitation\": 29.77145087552332, \"condition\": \"fog\"}, {\"temperature\": 14.327115187571408, \"wind\": 45.054261048821296, \"precipitation\": 17.654846400296798, \"condition\": \"drizzle\"}, {\"temperature\": 25.44797791508993, \"wind\": 22.265267642454656, \"precipitation\": 60.37929677885421, \"condition\": \"drizzle\"}, {\"temperature\": 11.19016835531465, \"wind\": 77.30294308487814, \"precipitation\": 71.65443847888368, \"condition\": \"snow\"}, {\"temperature\": 22.948827407585433, \"wind\": 27.03785915458824, \"precipitation\": 92.68901140573688, \"condition\": \"snow\"}, {\"temperature\": 33.16555388154543, \"wind\": 92.1292103045794, \"precipitation\": 39.10838647644195, \"condition\": \"snow\"}, {\"temperature\": 9.981393546660723, \"wind\": 66.73004528306666, \"precipitation\": 19.36957583451713, \"condition\": \"drizzle\"}, {\"temperature\": 2.837559858993796, \"wind\": 18.62443662393004, \"precipitation\": 57.42273968155751, \"condition\": \"sun\"}, {\"temperature\": 39.14290590745285, \"wind\": 32.52859013259527, \"precipitation\": 88.21897530715309, \"condition\": \"rain\"}, {\"temperature\": 39.2325438266719, \"wind\": 2.511353474345024, \"precipitation\": 78.95158173752907, \"condition\": \"fog\"}, {\"temperature\": 2.949456835649645, \"wind\": 1.9370157264502197, \"precipitation\": 3.5337114891518584, \"condition\": \"fog\"}, {\"temperature\": 28.422917308067277, \"wind\": 6.822434636914776, \"precipitation\": 84.5655158038795, \"condition\": \"fog\"}, {\"temperature\": 28.406344711783838, \"wind\": 95.25216996998444, \"precipitation\": 2.312429289727791, \"condition\": \"fog\"}, {\"temperature\": 23.929825809705775, \"wind\": 28.441727967722407, \"precipitation\": 94.94371547195382, \"condition\": \"drizzle\"}, {\"temperature\": 25.144603850494207, \"wind\": 5.7248518372133965, \"precipitation\": 72.55961327284773, \"condition\": \"drizzle\"}, {\"temperature\": -3.1069016270510676, \"wind\": 90.56068308052812, \"precipitation\": 8.208347981870512, \"condition\": \"rain\"}, {\"temperature\": 43.07443333444708, \"wind\": 63.33777651825151, \"precipitation\": 35.343598004733714, \"condition\": \"sun\"}, {\"temperature\": -8.715631484900875, \"wind\": 78.50049089036061, \"precipitation\": 16.726772866900042, \"condition\": \"fog\"}, {\"temperature\": 10.058625587365142, \"wind\": 82.55410159133031, \"precipitation\": 49.82193593499935, \"condition\": \"fog\"}, {\"temperature\": 27.912341883718938, \"wind\": 45.94389098129158, \"precipitation\": 87.71806691348185, \"condition\": \"sun\"}, {\"temperature\": 28.827008981675903, \"wind\": 14.352645600160752, \"precipitation\": 95.30777240838884, \"condition\": \"sun\"}, {\"temperature\": -5.245472855196331, \"wind\": 24.463633090927274, \"precipitation\": 63.1630488725617, \"condition\": \"fog\"}, {\"temperature\": -4.738627417736829, \"wind\": 87.61779675788263, \"precipitation\": 67.17488470646667, \"condition\": \"fog\"}, {\"temperature\": -1.6463371096382655, \"wind\": 34.15953757649686, \"precipitation\": 83.20021064524306, \"condition\": \"rain\"}, {\"temperature\": -8.671469939339552, \"wind\": 28.02148157701091, \"precipitation\": 8.858286414027772, \"condition\": \"snow\"}, {\"temperature\": 23.586980668182306, \"wind\": 32.61177727202879, \"precipitation\": 90.55384722692395, \"condition\": \"snow\"}, {\"temperature\": 42.93552301196303, \"wind\": 17.459007963452034, \"precipitation\": 76.26693620563219, \"condition\": \"sun\"}, {\"temperature\": 14.04271616398174, \"wind\": 31.44611970670743, \"precipitation\": 27.736449442339893, \"condition\": \"rain\"}, {\"temperature\": 33.93136729382773, \"wind\": 85.0980112392488, \"precipitation\": 48.72266227519502, \"condition\": \"fog\"}, {\"temperature\": 29.10713627050935, \"wind\": 25.401508775422734, \"precipitation\": 83.25120184383715, \"condition\": \"fog\"}, {\"temperature\": 23.33130010979005, \"wind\": 38.960479467358745, \"precipitation\": 84.8094568801428, \"condition\": \"rain\"}, {\"temperature\": 27.820447049966695, \"wind\": 97.47611794506456, \"precipitation\": 59.404606053602336, \"condition\": \"fog\"}, {\"temperature\": 24.704809156505995, \"wind\": 56.929461372432655, \"precipitation\": 16.583726619344496, \"condition\": \"drizzle\"}, {\"temperature\": 42.73839675123029, \"wind\": 19.024929246369528, \"precipitation\": 37.515692671204135, \"condition\": \"sun\"}, {\"temperature\": 39.73480992464111, \"wind\": 63.10268501376382, \"precipitation\": 15.20512544845365, \"condition\": \"fog\"}, {\"temperature\": 34.928857478491054, \"wind\": 44.34437827092474, \"precipitation\": 2.9919970218495684, \"condition\": \"sun\"}, {\"temperature\": 12.475457440238529, \"wind\": 45.63508245761745, \"precipitation\": 1.5684442569828705, \"condition\": \"fog\"}, {\"temperature\": 11.485742656702111, \"wind\": 35.43011450755876, \"precipitation\": 46.843314320146966, \"condition\": \"fog\"}, {\"temperature\": 16.58332024159822, \"wind\": 85.9387003246595, \"precipitation\": 67.67417859666371, \"condition\": \"sun\"}, {\"temperature\": 42.96961504747511, \"wind\": 61.02100908610409, \"precipitation\": 40.19537213295094, \"condition\": \"snow\"}, {\"temperature\": 43.01306682260888, \"wind\": 91.58796490357004, \"precipitation\": 10.242970289225461, \"condition\": \"sun\"}, {\"temperature\": 17.888206090116245, \"wind\": 29.82373325722851, \"precipitation\": 44.29455934969246, \"condition\": \"sun\"}, {\"temperature\": 13.700882757230424, \"wind\": 46.93705512034313, \"precipitation\": 76.07676796446637, \"condition\": \"rain\"}, {\"temperature\": 4.986331720563626, \"wind\": 81.90760931416689, \"precipitation\": 34.892239668746406, \"condition\": \"drizzle\"}, {\"temperature\": -1.4778346288931683, \"wind\": 3.9791854357363987, \"precipitation\": 7.535152538482148, \"condition\": \"drizzle\"}, {\"temperature\": 16.892161248783623, \"wind\": 31.993361074291926, \"precipitation\": 60.46401934620111, \"condition\": \"drizzle\"}, {\"temperature\": -7.17506030059671, \"wind\": 5.042336185555952, \"precipitation\": 88.35922403405787, \"condition\": \"drizzle\"}, {\"temperature\": 9.85908134441586, \"wind\": 48.491362316119236, \"precipitation\": 23.80248472573617, \"condition\": \"snow\"}, {\"temperature\": 28.54368725395195, \"wind\": 5.72748587709313, \"precipitation\": 25.974359374267742, \"condition\": \"drizzle\"}, {\"temperature\": 41.85044222939622, \"wind\": 3.311333417116047, \"precipitation\": 1.7918023488591839, \"condition\": \"snow\"}, {\"temperature\": 39.51847585775124, \"wind\": 89.64939452111453, \"precipitation\": 48.53950512768904, \"condition\": \"fog\"}, {\"temperature\": 4.1511791382858725, \"wind\": 58.14172937556887, \"precipitation\": 79.66452798481971, \"condition\": \"drizzle\"}, {\"temperature\": 7.316849144326355, \"wind\": 6.796864846855866, \"precipitation\": 33.619090549629306, \"condition\": \"snow\"}, {\"temperature\": -6.040726652488083, \"wind\": 24.37214720554359, \"precipitation\": 71.46568853073089, \"condition\": \"rain\"}, {\"temperature\": 28.05026452008928, \"wind\": 19.39989397387041, \"precipitation\": 71.68725771245654, \"condition\": \"drizzle\"}, {\"temperature\": 35.30623993317926, \"wind\": 66.54091843981752, \"precipitation\": 22.884049790672588, \"condition\": \"rain\"}, {\"temperature\": -9.078168118751755, \"wind\": 54.53321547753263, \"precipitation\": 66.43449936744369, \"condition\": \"sun\"}, {\"temperature\": 34.31111609068961, \"wind\": 92.79899053872957, \"precipitation\": 61.9431928594434, \"condition\": \"sun\"}, {\"temperature\": -0.5340863902706268, \"wind\": 89.18484464889846, \"precipitation\": 88.49655552922172, \"condition\": \"rain\"}, {\"temperature\": -7.331283732097262, \"wind\": 16.43300088620039, \"precipitation\": 92.15523633598885, \"condition\": \"drizzle\"}, {\"temperature\": 34.4512940591614, \"wind\": 16.982566694713043, \"precipitation\": 66.50391898652623, \"condition\": \"fog\"}, {\"temperature\": 2.292195972387347, \"wind\": 78.07758659490037, \"precipitation\": 85.08941323813521, \"condition\": \"snow\"}, {\"temperature\": 10.280188069701488, \"wind\": 64.37598506985243, \"precipitation\": 46.13428294966927, \"condition\": \"sun\"}, {\"temperature\": 14.385637791164196, \"wind\": 27.710246014732775, \"precipitation\": 82.18132103083111, \"condition\": \"rain\"}, {\"temperature\": 15.068929930658907, \"wind\": 90.37313777532859, \"precipitation\": 95.42688091272505, \"condition\": \"rain\"}, {\"temperature\": -5.931704200276687, \"wind\": 76.30697305192514, \"precipitation\": 48.17926018036856, \"condition\": \"drizzle\"}, {\"temperature\": -1.2238906425326128, \"wind\": 77.25655113115953, \"precipitation\": 12.189057445370022, \"condition\": \"sun\"}, {\"temperature\": 17.981273164150583, \"wind\": 99.8855194023956, \"precipitation\": 5.951490853046981, \"condition\": \"drizzle\"}, {\"temperature\": 8.333054222089164, \"wind\": 22.351144710727677, \"precipitation\": 1.9907985646430038, \"condition\": \"rain\"}, {\"temperature\": 40.99117292213711, \"wind\": 12.537186007473021, \"precipitation\": 3.0957134444521195, \"condition\": \"drizzle\"}, {\"temperature\": 36.29560583814439, \"wind\": 47.282861379528676, \"precipitation\": 50.72175472263106, \"condition\": \"fog\"}, {\"temperature\": 8.011942225789358, \"wind\": 80.64679426688298, \"precipitation\": 84.74031260132877, \"condition\": \"sun\"}, {\"temperature\": 32.64189921238727, \"wind\": 78.38867921926278, \"precipitation\": 94.27015659699374, \"condition\": \"fog\"}, {\"temperature\": -4.159829210634211, \"wind\": 53.39060475873939, \"precipitation\": 50.60795287404672, \"condition\": \"fog\"}, {\"temperature\": -6.602296737522483, \"wind\": 86.55899134629715, \"precipitation\": 62.64697378600636, \"condition\": \"fog\"}, {\"temperature\": 40.135239145180655, \"wind\": 16.633704419495032, \"precipitation\": 41.391087682479736, \"condition\": \"drizzle\"}, {\"temperature\": 26.95881305440288, \"wind\": 85.8809786017975, \"precipitation\": 71.9617762842435, \"condition\": \"drizzle\"}, {\"temperature\": 11.92991543604046, \"wind\": 76.39140196294017, \"precipitation\": 60.40612399492309, \"condition\": \"drizzle\"}, {\"temperature\": 19.566301202766702, \"wind\": 72.97802286558691, \"precipitation\": 29.681848692175006, \"condition\": \"drizzle\"}, {\"temperature\": 10.481864045771506, \"wind\": 10.269367839292642, \"precipitation\": 85.87287289024248, \"condition\": \"rain\"}, {\"temperature\": -9.620152753805623, \"wind\": 64.57630699894213, \"precipitation\": 29.06583641537993, \"condition\": \"drizzle\"}, {\"temperature\": 24.85823346816882, \"wind\": 64.44200648973889, \"precipitation\": 32.79358601401415, \"condition\": \"sun\"}, {\"temperature\": -9.71401231081625, \"wind\": 46.94482107365025, \"precipitation\": 71.95828763550503, \"condition\": \"rain\"}, {\"temperature\": 15.802582568794556, \"wind\": 5.568264782160037, \"precipitation\": 16.50277435360922, \"condition\": \"sun\"}, {\"temperature\": 29.44740698845427, \"wind\": 66.4224540835048, \"precipitation\": 96.91347272575433, \"condition\": \"snow\"}, {\"temperature\": 0.1789559651072139, \"wind\": 37.144396583281235, \"precipitation\": 7.3927878065009445, \"condition\": \"snow\"}, {\"temperature\": 37.90262114384076, \"wind\": 23.744567572534315, \"precipitation\": 85.44013318397162, \"condition\": \"fog\"}, {\"temperature\": 40.40503203411964, \"wind\": 71.68155336881077, \"precipitation\": 91.260802513042, \"condition\": \"snow\"}, {\"temperature\": 2.723433474361908, \"wind\": 5.85694236985378, \"precipitation\": 54.0295184169758, \"condition\": \"drizzle\"}, {\"temperature\": 9.452609321039336, \"wind\": 52.7843932253772, \"precipitation\": 90.04450333194686, \"condition\": \"fog\"}, {\"temperature\": 18.909153974667404, \"wind\": 13.725377509230263, \"precipitation\": 34.56974350594094, \"condition\": \"sun\"}]}}, {\"mode\": \"vega-lite\"});\n",
-       "</script>"
-      ],
-      "text/plain": [
-       "alt.FacetChart(...)"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "base = alt.Chart(df)\n",
-    "point = base.mark_point().encode(\n",
-    "    x=alt.X(field=\"condition\", type=\"nominal\", scale=alt.Scale(type=\"ordinal\")),\n",
-    "    y=alt.Y(field=\"wind\", type=\"quantitative\", scale=alt.Scale(type=\"linear\")),\n",
-    ")\n",
-    "facet = point.facet(\n",
-    "    column=alt.Column(field=\"temperature\", type=\"quantitative\", bin=alt.Bin(maxbins=10))\n",
-    ")\n",
-    "display_chart(facet)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Multiple Views"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### Tick Plot and Histogram"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 36,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "{'field': [{'name': 'temperature', 'type': 'number'},\n",
-      "           {'name': 'condition', 'type': 'string'}],\n",
-      " 'number_rows': 100,\n",
-      " 'view': [{'mark': [{'encoding': [{'channel': 'y', 'field': 'temperature'}],\n",
-      "                     'type': 'tick'}],\n",
-      "           'scale': [{'channel': 'y', 'type': 'linear', 'zero': 'true'}]},\n",
-      "          {'mark': [{'encoding': [{'channel': 'x', 'field': 'condition'},\n",
-      "                                  {'aggregate': 'count', 'channel': 'y'}],\n",
-      "                     'type': 'bar'}],\n",
-      "           'scale': [{'channel': 'x', 'type': 'ordinal'},\n",
-      "                     {'channel': 'y', 'type': 'linear', 'zero': 'true'}]}]}\n"
-     ]
-    }
-   ],
-   "source": [
-    "facts = [\n",
-    "    \"attribute(number_rows,root,100).\",\n",
-    "    \"entity(field,root,temperature).\",\n",
-    "    \"attribute((field,name),temperature,temperature).\",\n",
-    "    \"attribute((field,type),temperature,number).\",\n",
-    "    \"entity(field,root,condition).\",\n",
-    "    \"attribute((field,name),condition,condition).\",\n",
-    "    \"attribute((field,type),condition,string).\",\n",
-    "    \"entity(view,root,0).\",\n",
-    "    \"entity(mark,0,1).\",\n",
-    "    \"attribute((mark,type),1,tick).\",\n",
-    "    \"entity(encoding,1,2).\",\n",
-    "    \"attribute((encoding,channel),2,y).\",\n",
-    "    \"attribute((encoding,field),2,temperature).\",\n",
-    "    \"entity(scale,0,3).\",\n",
-    "    \"attribute((scale,channel),3,y).\",\n",
-    "    \"attribute((scale,type),3,linear).\",\n",
-    "    \"attribute((scale,zero),3,true).\",\n",
-    "    \"entity(view,root,4).\",\n",
-    "    \"entity(mark,4,5).\",\n",
-    "    \"attribute((mark,type),5,bar).\",\n",
-    "    \"entity(encoding,5,6).\",\n",
-    "    \"attribute((encoding,channel),6,x).\",\n",
-    "    \"attribute((encoding,field),6,condition).\",\n",
-    "    \"entity(encoding,5,7).\",\n",
-    "    \"attribute((encoding,channel),7,y).\",\n",
-    "    \"attribute((encoding,aggregate),7,count).\",\n",
-    "    \"entity(scale,4,8).\",\n",
-    "    \"attribute((scale,channel),8,x).\",\n",
-    "    \"attribute((scale,type),8,ordinal).\",\n",
-    "    \"entity(scale,4,9).\",\n",
-    "    \"attribute((scale,channel),9,y).\",\n",
-    "    \"attribute((scale,type),9,linear).\",\n",
-    "    \"attribute((scale,zero),9,true).\",\n",
-    "]\n",
-    "spec = facts_to_dict(facts)\n",
-    "pprint(spec)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 37,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "{'$schema': 'https://vega.github.io/schema/vega-lite/v4.17.0.json',\n",
-      " 'config': {'view': {'continuousHeight': 300, 'continuousWidth': 400}},\n",
-      " 'hconcat': [{'encoding': {'y': {'field': 'temperature',\n",
-      "                                 'scale': {'type': 'linear', 'zero': True},\n",
-      "                                 'type': 'quantitative'}},\n",
-      "              'mark': 'tick'},\n",
-      "             {'encoding': {'x': {'field': 'condition',\n",
-      "                                 'scale': {'type': 'ordinal'},\n",
-      "                                 'type': 'nominal'},\n",
-      "                           'y': {'aggregate': 'count',\n",
-      "                                 'field': 'condition',\n",
-      "                                 'type': 'nominal'}},\n",
-      "              'mark': 'bar'}]}\n"
-     ]
-    },
-    {
-     "data": {
-      "text/html": [
-       "\n",
-       "<div id=\"altair-viz-cdbdf127e8b64521aae43ca79c62170b\"></div>\n",
-       "<script type=\"text/javascript\">\n",
-       "  var VEGA_DEBUG = (typeof VEGA_DEBUG == \"undefined\") ? {} : VEGA_DEBUG;\n",
-       "  (function(spec, embedOpt){\n",
-       "    let outputDiv = document.currentScript.previousElementSibling;\n",
-       "    if (outputDiv.id !== \"altair-viz-cdbdf127e8b64521aae43ca79c62170b\") {\n",
-       "      outputDiv = document.getElementById(\"altair-viz-cdbdf127e8b64521aae43ca79c62170b\");\n",
-       "    }\n",
-       "    const paths = {\n",
-       "      \"vega\": \"https://cdn.jsdelivr.net/npm//vega@5?noext\",\n",
-       "      \"vega-lib\": \"https://cdn.jsdelivr.net/npm//vega-lib?noext\",\n",
-       "      \"vega-lite\": \"https://cdn.jsdelivr.net/npm//vega-lite@4.17.0?noext\",\n",
-       "      \"vega-embed\": \"https://cdn.jsdelivr.net/npm//vega-embed@6?noext\",\n",
-       "    };\n",
-       "\n",
-       "    function maybeLoadScript(lib, version) {\n",
-       "      var key = `${lib.replace(\"-\", \"\")}_version`;\n",
-       "      return (VEGA_DEBUG[key] == version) ?\n",
-       "        Promise.resolve(paths[lib]) :\n",
-       "        new Promise(function(resolve, reject) {\n",
-       "          var s = document.createElement('script');\n",
-       "          document.getElementsByTagName(\"head\")[0].appendChild(s);\n",
-       "          s.async = true;\n",
-       "          s.onload = () => {\n",
-       "            VEGA_DEBUG[key] = version;\n",
-       "            return resolve(paths[lib]);\n",
-       "          };\n",
-       "          s.onerror = () => reject(`Error loading script: ${paths[lib]}`);\n",
-       "          s.src = paths[lib];\n",
-       "        });\n",
-       "    }\n",
-       "\n",
-       "    function showError(err) {\n",
-       "      outputDiv.innerHTML = `<div class=\"error\" style=\"color:red;\">${err}</div>`;\n",
-       "      throw err;\n",
-       "    }\n",
-       "\n",
-       "    function displayChart(vegaEmbed) {\n",
-       "      vegaEmbed(outputDiv, spec, embedOpt)\n",
-       "        .catch(err => showError(`Javascript Error: ${err.message}<br>This usually means there's a typo in your chart specification. See the javascript console for the full traceback.`));\n",
-       "    }\n",
-       "\n",
-       "    if(typeof define === \"function\" && define.amd) {\n",
-       "      requirejs.config({paths});\n",
-       "      require([\"vega-embed\"], displayChart, err => showError(`Error loading script: ${err.message}`));\n",
-       "    } else {\n",
-       "      maybeLoadScript(\"vega\", \"5\")\n",
-       "        .then(() => maybeLoadScript(\"vega-lite\", \"4.17.0\"))\n",
-       "        .then(() => maybeLoadScript(\"vega-embed\", \"6\"))\n",
-       "        .catch(showError)\n",
-       "        .then(() => displayChart(vegaEmbed));\n",
-       "    }\n",
-       "  })({\"config\": {\"view\": {\"continuousWidth\": 400, \"continuousHeight\": 300}}, \"hconcat\": [{\"mark\": \"tick\", \"encoding\": {\"y\": {\"field\": \"temperature\", \"scale\": {\"type\": \"linear\", \"zero\": true}, \"type\": \"quantitative\"}}}, {\"mark\": \"bar\", \"encoding\": {\"x\": {\"field\": \"condition\", \"scale\": {\"type\": \"ordinal\"}, \"type\": \"nominal\"}, \"y\": {\"aggregate\": \"count\", \"field\": \"condition\", \"type\": \"nominal\"}}}], \"data\": {\"name\": \"data-124c435c1b687eb7890344117a1c86b4\"}, \"$schema\": \"https://vega.github.io/schema/vega-lite/v4.17.0.json\", \"datasets\": {\"data-124c435c1b687eb7890344117a1c86b4\": [{\"temperature\": 17.89365303788651, \"wind\": 78.75685633883592, \"precipitation\": 41.61124606702779, \"condition\": \"rain\"}, {\"temperature\": 5.622818441769336, \"wind\": 25.421998841055917, \"precipitation\": 74.90555083684964, \"condition\": \"rain\"}, {\"temperature\": 23.3902094090436, \"wind\": 9.846103163487696, \"precipitation\": 81.33536438710783, \"condition\": \"rain\"}, {\"temperature\": 20.889554427248395, \"wind\": 27.53521295661492, \"precipitation\": 27.6549324712597, \"condition\": \"drizzle\"}, {\"temperature\": 33.91026207788065, \"wind\": 97.91032820138525, \"precipitation\": 36.53494267552425, \"condition\": \"snow\"}, {\"temperature\": 39.65611406756084, \"wind\": 24.27383951799732, \"precipitation\": 33.38647147375286, \"condition\": \"rain\"}, {\"temperature\": 5.670659801967243, \"wind\": 98.20197823012846, \"precipitation\": 93.72832557739356, \"condition\": \"snow\"}, {\"temperature\": -2.2776070811204505, \"wind\": 77.90443786588797, \"precipitation\": 50.102310147035375, \"condition\": \"drizzle\"}, {\"temperature\": 43.104548648992775, \"wind\": 74.77698982401796, \"precipitation\": 89.95647852559429, \"condition\": \"sun\"}, {\"temperature\": 1.8049661385207525, \"wind\": 91.29152261118769, \"precipitation\": 29.77145087552332, \"condition\": \"fog\"}, {\"temperature\": 14.327115187571408, \"wind\": 45.054261048821296, \"precipitation\": 17.654846400296798, \"condition\": \"drizzle\"}, {\"temperature\": 25.44797791508993, \"wind\": 22.265267642454656, \"precipitation\": 60.37929677885421, \"condition\": \"drizzle\"}, {\"temperature\": 11.19016835531465, \"wind\": 77.30294308487814, \"precipitation\": 71.65443847888368, \"condition\": \"snow\"}, {\"temperature\": 22.948827407585433, \"wind\": 27.03785915458824, \"precipitation\": 92.68901140573688, \"condition\": \"snow\"}, {\"temperature\": 33.16555388154543, \"wind\": 92.1292103045794, \"precipitation\": 39.10838647644195, \"condition\": \"snow\"}, {\"temperature\": 9.981393546660723, \"wind\": 66.73004528306666, \"precipitation\": 19.36957583451713, \"condition\": \"drizzle\"}, {\"temperature\": 2.837559858993796, \"wind\": 18.62443662393004, \"precipitation\": 57.42273968155751, \"condition\": \"sun\"}, {\"temperature\": 39.14290590745285, \"wind\": 32.52859013259527, \"precipitation\": 88.21897530715309, \"condition\": \"rain\"}, {\"temperature\": 39.2325438266719, \"wind\": 2.511353474345024, \"precipitation\": 78.95158173752907, \"condition\": \"fog\"}, {\"temperature\": 2.949456835649645, \"wind\": 1.9370157264502197, \"precipitation\": 3.5337114891518584, \"condition\": \"fog\"}, {\"temperature\": 28.422917308067277, \"wind\": 6.822434636914776, \"precipitation\": 84.5655158038795, \"condition\": \"fog\"}, {\"temperature\": 28.406344711783838, \"wind\": 95.25216996998444, \"precipitation\": 2.312429289727791, \"condition\": \"fog\"}, {\"temperature\": 23.929825809705775, \"wind\": 28.441727967722407, \"precipitation\": 94.94371547195382, \"condition\": \"drizzle\"}, {\"temperature\": 25.144603850494207, \"wind\": 5.7248518372133965, \"precipitation\": 72.55961327284773, \"condition\": \"drizzle\"}, {\"temperature\": -3.1069016270510676, \"wind\": 90.56068308052812, \"precipitation\": 8.208347981870512, \"condition\": \"rain\"}, {\"temperature\": 43.07443333444708, \"wind\": 63.33777651825151, \"precipitation\": 35.343598004733714, \"condition\": \"sun\"}, {\"temperature\": -8.715631484900875, \"wind\": 78.50049089036061, \"precipitation\": 16.726772866900042, \"condition\": \"fog\"}, {\"temperature\": 10.058625587365142, \"wind\": 82.55410159133031, \"precipitation\": 49.82193593499935, \"condition\": \"fog\"}, {\"temperature\": 27.912341883718938, \"wind\": 45.94389098129158, \"precipitation\": 87.71806691348185, \"condition\": \"sun\"}, {\"temperature\": 28.827008981675903, \"wind\": 14.352645600160752, \"precipitation\": 95.30777240838884, \"condition\": \"sun\"}, {\"temperature\": -5.245472855196331, \"wind\": 24.463633090927274, \"precipitation\": 63.1630488725617, \"condition\": \"fog\"}, {\"temperature\": -4.738627417736829, \"wind\": 87.61779675788263, \"precipitation\": 67.17488470646667, \"condition\": \"fog\"}, {\"temperature\": -1.6463371096382655, \"wind\": 34.15953757649686, \"precipitation\": 83.20021064524306, \"condition\": \"rain\"}, {\"temperature\": -8.671469939339552, \"wind\": 28.02148157701091, \"precipitation\": 8.858286414027772, \"condition\": \"snow\"}, {\"temperature\": 23.586980668182306, \"wind\": 32.61177727202879, \"precipitation\": 90.55384722692395, \"condition\": \"snow\"}, {\"temperature\": 42.93552301196303, \"wind\": 17.459007963452034, \"precipitation\": 76.26693620563219, \"condition\": \"sun\"}, {\"temperature\": 14.04271616398174, \"wind\": 31.44611970670743, \"precipitation\": 27.736449442339893, \"condition\": \"rain\"}, {\"temperature\": 33.93136729382773, \"wind\": 85.0980112392488, \"precipitation\": 48.72266227519502, \"condition\": \"fog\"}, {\"temperature\": 29.10713627050935, \"wind\": 25.401508775422734, \"precipitation\": 83.25120184383715, \"condition\": \"fog\"}, {\"temperature\": 23.33130010979005, \"wind\": 38.960479467358745, \"precipitation\": 84.8094568801428, \"condition\": \"rain\"}, {\"temperature\": 27.820447049966695, \"wind\": 97.47611794506456, \"precipitation\": 59.404606053602336, \"condition\": \"fog\"}, {\"temperature\": 24.704809156505995, \"wind\": 56.929461372432655, \"precipitation\": 16.583726619344496, \"condition\": \"drizzle\"}, {\"temperature\": 42.73839675123029, \"wind\": 19.024929246369528, \"precipitation\": 37.515692671204135, \"condition\": \"sun\"}, {\"temperature\": 39.73480992464111, \"wind\": 63.10268501376382, \"precipitation\": 15.20512544845365, \"condition\": \"fog\"}, {\"temperature\": 34.928857478491054, \"wind\": 44.34437827092474, \"precipitation\": 2.9919970218495684, \"condition\": \"sun\"}, {\"temperature\": 12.475457440238529, \"wind\": 45.63508245761745, \"precipitation\": 1.5684442569828705, \"condition\": \"fog\"}, {\"temperature\": 11.485742656702111, \"wind\": 35.43011450755876, \"precipitation\": 46.843314320146966, \"condition\": \"fog\"}, {\"temperature\": 16.58332024159822, \"wind\": 85.9387003246595, \"precipitation\": 67.67417859666371, \"condition\": \"sun\"}, {\"temperature\": 42.96961504747511, \"wind\": 61.02100908610409, \"precipitation\": 40.19537213295094, \"condition\": \"snow\"}, {\"temperature\": 43.01306682260888, \"wind\": 91.58796490357004, \"precipitation\": 10.242970289225461, \"condition\": \"sun\"}, {\"temperature\": 17.888206090116245, \"wind\": 29.82373325722851, \"precipitation\": 44.29455934969246, \"condition\": \"sun\"}, {\"temperature\": 13.700882757230424, \"wind\": 46.93705512034313, \"precipitation\": 76.07676796446637, \"condition\": \"rain\"}, {\"temperature\": 4.986331720563626, \"wind\": 81.90760931416689, \"precipitation\": 34.892239668746406, \"condition\": \"drizzle\"}, {\"temperature\": -1.4778346288931683, \"wind\": 3.9791854357363987, \"precipitation\": 7.535152538482148, \"condition\": \"drizzle\"}, {\"temperature\": 16.892161248783623, \"wind\": 31.993361074291926, \"precipitation\": 60.46401934620111, \"condition\": \"drizzle\"}, {\"temperature\": -7.17506030059671, \"wind\": 5.042336185555952, \"precipitation\": 88.35922403405787, \"condition\": \"drizzle\"}, {\"temperature\": 9.85908134441586, \"wind\": 48.491362316119236, \"precipitation\": 23.80248472573617, \"condition\": \"snow\"}, {\"temperature\": 28.54368725395195, \"wind\": 5.72748587709313, \"precipitation\": 25.974359374267742, \"condition\": \"drizzle\"}, {\"temperature\": 41.85044222939622, \"wind\": 3.311333417116047, \"precipitation\": 1.7918023488591839, \"condition\": \"snow\"}, {\"temperature\": 39.51847585775124, \"wind\": 89.64939452111453, \"precipitation\": 48.53950512768904, \"condition\": \"fog\"}, {\"temperature\": 4.1511791382858725, \"wind\": 58.14172937556887, \"precipitation\": 79.66452798481971, \"condition\": \"drizzle\"}, {\"temperature\": 7.316849144326355, \"wind\": 6.796864846855866, \"precipitation\": 33.619090549629306, \"condition\": \"snow\"}, {\"temperature\": -6.040726652488083, \"wind\": 24.37214720554359, \"precipitation\": 71.46568853073089, \"condition\": \"rain\"}, {\"temperature\": 28.05026452008928, \"wind\": 19.39989397387041, \"precipitation\": 71.68725771245654, \"condition\": \"drizzle\"}, {\"temperature\": 35.30623993317926, \"wind\": 66.54091843981752, \"precipitation\": 22.884049790672588, \"condition\": \"rain\"}, {\"temperature\": -9.078168118751755, \"wind\": 54.53321547753263, \"precipitation\": 66.43449936744369, \"condition\": \"sun\"}, {\"temperature\": 34.31111609068961, \"wind\": 92.79899053872957, \"precipitation\": 61.9431928594434, \"condition\": \"sun\"}, {\"temperature\": -0.5340863902706268, \"wind\": 89.18484464889846, \"precipitation\": 88.49655552922172, \"condition\": \"rain\"}, {\"temperature\": -7.331283732097262, \"wind\": 16.43300088620039, \"precipitation\": 92.15523633598885, \"condition\": \"drizzle\"}, {\"temperature\": 34.4512940591614, \"wind\": 16.982566694713043, \"precipitation\": 66.50391898652623, \"condition\": \"fog\"}, {\"temperature\": 2.292195972387347, \"wind\": 78.07758659490037, \"precipitation\": 85.08941323813521, \"condition\": \"snow\"}, {\"temperature\": 10.280188069701488, \"wind\": 64.37598506985243, \"precipitation\": 46.13428294966927, \"condition\": \"sun\"}, {\"temperature\": 14.385637791164196, \"wind\": 27.710246014732775, \"precipitation\": 82.18132103083111, \"condition\": \"rain\"}, {\"temperature\": 15.068929930658907, \"wind\": 90.37313777532859, \"precipitation\": 95.42688091272505, \"condition\": \"rain\"}, {\"temperature\": -5.931704200276687, \"wind\": 76.30697305192514, \"precipitation\": 48.17926018036856, \"condition\": \"drizzle\"}, {\"temperature\": -1.2238906425326128, \"wind\": 77.25655113115953, \"precipitation\": 12.189057445370022, \"condition\": \"sun\"}, {\"temperature\": 17.981273164150583, \"wind\": 99.8855194023956, \"precipitation\": 5.951490853046981, \"condition\": \"drizzle\"}, {\"temperature\": 8.333054222089164, \"wind\": 22.351144710727677, \"precipitation\": 1.9907985646430038, \"condition\": \"rain\"}, {\"temperature\": 40.99117292213711, \"wind\": 12.537186007473021, \"precipitation\": 3.0957134444521195, \"condition\": \"drizzle\"}, {\"temperature\": 36.29560583814439, \"wind\": 47.282861379528676, \"precipitation\": 50.72175472263106, \"condition\": \"fog\"}, {\"temperature\": 8.011942225789358, \"wind\": 80.64679426688298, \"precipitation\": 84.74031260132877, \"condition\": \"sun\"}, {\"temperature\": 32.64189921238727, \"wind\": 78.38867921926278, \"precipitation\": 94.27015659699374, \"condition\": \"fog\"}, {\"temperature\": -4.159829210634211, \"wind\": 53.39060475873939, \"precipitation\": 50.60795287404672, \"condition\": \"fog\"}, {\"temperature\": -6.602296737522483, \"wind\": 86.55899134629715, \"precipitation\": 62.64697378600636, \"condition\": \"fog\"}, {\"temperature\": 40.135239145180655, \"wind\": 16.633704419495032, \"precipitation\": 41.391087682479736, \"condition\": \"drizzle\"}, {\"temperature\": 26.95881305440288, \"wind\": 85.8809786017975, \"precipitation\": 71.9617762842435, \"condition\": \"drizzle\"}, {\"temperature\": 11.92991543604046, \"wind\": 76.39140196294017, \"precipitation\": 60.40612399492309, \"condition\": \"drizzle\"}, {\"temperature\": 19.566301202766702, \"wind\": 72.97802286558691, \"precipitation\": 29.681848692175006, \"condition\": \"drizzle\"}, {\"temperature\": 10.481864045771506, \"wind\": 10.269367839292642, \"precipitation\": 85.87287289024248, \"condition\": \"rain\"}, {\"temperature\": -9.620152753805623, \"wind\": 64.57630699894213, \"precipitation\": 29.06583641537993, \"condition\": \"drizzle\"}, {\"temperature\": 24.85823346816882, \"wind\": 64.44200648973889, \"precipitation\": 32.79358601401415, \"condition\": \"sun\"}, {\"temperature\": -9.71401231081625, \"wind\": 46.94482107365025, \"precipitation\": 71.95828763550503, \"condition\": \"rain\"}, {\"temperature\": 15.802582568794556, \"wind\": 5.568264782160037, \"precipitation\": 16.50277435360922, \"condition\": \"sun\"}, {\"temperature\": 29.44740698845427, \"wind\": 66.4224540835048, \"precipitation\": 96.91347272575433, \"condition\": \"snow\"}, {\"temperature\": 0.1789559651072139, \"wind\": 37.144396583281235, \"precipitation\": 7.3927878065009445, \"condition\": \"snow\"}, {\"temperature\": 37.90262114384076, \"wind\": 23.744567572534315, \"precipitation\": 85.44013318397162, \"condition\": \"fog\"}, {\"temperature\": 40.40503203411964, \"wind\": 71.68155336881077, \"precipitation\": 91.260802513042, \"condition\": \"snow\"}, {\"temperature\": 2.723433474361908, \"wind\": 5.85694236985378, \"precipitation\": 54.0295184169758, \"condition\": \"drizzle\"}, {\"temperature\": 9.452609321039336, \"wind\": 52.7843932253772, \"precipitation\": 90.04450333194686, \"condition\": \"fog\"}, {\"temperature\": 18.909153974667404, \"wind\": 13.725377509230263, \"precipitation\": 34.56974350594094, \"condition\": \"sun\"}]}}, {\"mode\": \"vega-lite\"});\n",
-       "</script>"
-      ],
-      "text/plain": [
-       "alt.HConcatChart(...)"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "base = alt.Chart(df)\n",
-    "\n",
-    "tick = base.mark_tick().encode(\n",
-    "    y=alt.Y(\n",
-    "        field=\"temperature\",\n",
-    "        type=\"quantitative\",\n",
-    "        scale=alt.Scale(type=\"linear\", zero=True),\n",
-    "    )\n",
-    ")\n",
-    "view_1 = tick\n",
-    "\n",
-    "bar = base.mark_bar().encode(\n",
-    "    x=alt.X(field=\"condition\", type=\"nominal\", scale=alt.Scale(type=\"ordinal\")),\n",
-    "    y=alt.Y(field=\"condition\", type=\"nominal\", aggregate=\"count\"),\n",
-    ")\n",
-    "view_2 = bar\n",
-    "\n",
-    "display_chart(view_1 | view_2)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### Tick Plot and Histogram with Shared Y-Scale"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 38,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "{'field': [{'name': 'temperature', 'type': 'number'},\n",
-      "           {'name': 'condition', 'type': 'string'}],\n",
-      " 'number_rows': 100,\n",
-      " 'scale': [{'channel': 'y', 'type': 'linear', 'zero': 'true'}],\n",
-      " 'view': [{'mark': [{'encoding': [{'channel': 'y', 'field': 'temperature'}],\n",
-      "                     'type': 'tick'}]},\n",
-      "          {'mark': [{'encoding': [{'aggregate': 'mean',\n",
-      "                                   'channel': 'y',\n",
-      "                                   'field': 'temperature'},\n",
-      "                                  {'channel': 'x', 'field': 'condition'}],\n",
-      "                     'type': 'bar'}],\n",
-      "           'scale': [{'channel': 'x', 'type': 'ordinal'}]}]}\n"
-     ]
-    }
-   ],
-   "source": [
-    "facts = [\n",
-    "    \"attribute(number_rows,root,100).\",\n",
-    "    \"entity(field,root,temperature).\",\n",
-    "    \"attribute((field,name),temperature,temperature).\",\n",
-    "    \"attribute((field,type),temperature,number).\",\n",
-    "    \"entity(field,root,condition).\",\n",
-    "    \"attribute((field,name),condition,condition).\",\n",
-    "    \"attribute((field,type),condition,string).\",\n",
-    "    \"entity(view,root,0).\",\n",
-    "    \"entity(mark,0,1).\",\n",
-    "    \"attribute((mark,type),1,tick).\",\n",
-    "    \"entity(encoding,1,2).\",\n",
-    "    \"attribute((encoding,channel),2,y).\",\n",
-    "    \"attribute((encoding,field),2,temperature).\",\n",
-    "    \"entity(view,root,3).\",\n",
-    "    \"entity(mark,3,4).\",\n",
-    "    \"attribute((mark,type),4,bar).\",\n",
-    "    \"entity(encoding,4,5).\",\n",
-    "    \"attribute((encoding,channel),5,y).\",\n",
-    "    \"attribute((encoding,field),5,temperature).\",\n",
-    "    \"attribute((encoding,aggregate),5,mean).\",\n",
-    "    \"entity(encoding,4,6).\",\n",
-    "    \"attribute((encoding,channel),6,x).\",\n",
-    "    \"attribute((encoding,field),6,condition).\",\n",
-    "    \"entity(scale,3,7).\",\n",
-    "    \"attribute((scale,channel),7,x).\",\n",
-    "    \"attribute((scale,type),7,ordinal).\",\n",
-    "    \"entity(scale,root,8).\",\n",
-    "    \"attribute((scale,channel),8,y).\",\n",
-    "    \"attribute((scale,type),8,linear).\",\n",
-    "    \"attribute((scale,zero),8,true).\",\n",
-    "]\n",
-    "spec = facts_to_dict(facts)\n",
-    "pprint(spec)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 39,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "{'$schema': 'https://vega.github.io/schema/vega-lite/v4.17.0.json',\n",
-      " 'config': {'view': {'continuousHeight': 300, 'continuousWidth': 400}},\n",
-      " 'hconcat': [{'encoding': {'y': {'field': 'temperature',\n",
-      "                                 'type': 'quantitative'}},\n",
-      "              'mark': 'tick'},\n",
-      "             {'encoding': {'x': {'field': 'condition', 'type': 'nominal'},\n",
-      "                           'y': {'aggregate': 'mean',\n",
-      "                                 'field': 'temperature',\n",
-      "                                 'type': 'quantitative'}},\n",
-      "              'mark': 'bar'}],\n",
-      " 'resolve': {'scale': {'y': 'shared'}}}\n"
-     ]
-    },
-    {
-     "data": {
-      "text/html": [
-       "\n",
-       "<div id=\"altair-viz-c5453ab10b844f9b9347bf75335e0699\"></div>\n",
-       "<script type=\"text/javascript\">\n",
-       "  var VEGA_DEBUG = (typeof VEGA_DEBUG == \"undefined\") ? {} : VEGA_DEBUG;\n",
-       "  (function(spec, embedOpt){\n",
-       "    let outputDiv = document.currentScript.previousElementSibling;\n",
-       "    if (outputDiv.id !== \"altair-viz-c5453ab10b844f9b9347bf75335e0699\") {\n",
-       "      outputDiv = document.getElementById(\"altair-viz-c5453ab10b844f9b9347bf75335e0699\");\n",
-       "    }\n",
-       "    const paths = {\n",
-       "      \"vega\": \"https://cdn.jsdelivr.net/npm//vega@5?noext\",\n",
-       "      \"vega-lib\": \"https://cdn.jsdelivr.net/npm//vega-lib?noext\",\n",
-       "      \"vega-lite\": \"https://cdn.jsdelivr.net/npm//vega-lite@4.17.0?noext\",\n",
-       "      \"vega-embed\": \"https://cdn.jsdelivr.net/npm//vega-embed@6?noext\",\n",
-       "    };\n",
-       "\n",
-       "    function maybeLoadScript(lib, version) {\n",
-       "      var key = `${lib.replace(\"-\", \"\")}_version`;\n",
-       "      return (VEGA_DEBUG[key] == version) ?\n",
-       "        Promise.resolve(paths[lib]) :\n",
-       "        new Promise(function(resolve, reject) {\n",
-       "          var s = document.createElement('script');\n",
-       "          document.getElementsByTagName(\"head\")[0].appendChild(s);\n",
-       "          s.async = true;\n",
-       "          s.onload = () => {\n",
-       "            VEGA_DEBUG[key] = version;\n",
-       "            return resolve(paths[lib]);\n",
-       "          };\n",
-       "          s.onerror = () => reject(`Error loading script: ${paths[lib]}`);\n",
-       "          s.src = paths[lib];\n",
-       "        });\n",
-       "    }\n",
-       "\n",
-       "    function showError(err) {\n",
-       "      outputDiv.innerHTML = `<div class=\"error\" style=\"color:red;\">${err}</div>`;\n",
-       "      throw err;\n",
-       "    }\n",
-       "\n",
-       "    function displayChart(vegaEmbed) {\n",
-       "      vegaEmbed(outputDiv, spec, embedOpt)\n",
-       "        .catch(err => showError(`Javascript Error: ${err.message}<br>This usually means there's a typo in your chart specification. See the javascript console for the full traceback.`));\n",
-       "    }\n",
-       "\n",
-       "    if(typeof define === \"function\" && define.amd) {\n",
-       "      requirejs.config({paths});\n",
-       "      require([\"vega-embed\"], displayChart, err => showError(`Error loading script: ${err.message}`));\n",
-       "    } else {\n",
-       "      maybeLoadScript(\"vega\", \"5\")\n",
-       "        .then(() => maybeLoadScript(\"vega-lite\", \"4.17.0\"))\n",
-       "        .then(() => maybeLoadScript(\"vega-embed\", \"6\"))\n",
-       "        .catch(showError)\n",
-       "        .then(() => displayChart(vegaEmbed));\n",
-       "    }\n",
-       "  })({\"config\": {\"view\": {\"continuousWidth\": 400, \"continuousHeight\": 300}}, \"hconcat\": [{\"mark\": \"tick\", \"encoding\": {\"y\": {\"field\": \"temperature\", \"type\": \"quantitative\"}}}, {\"mark\": \"bar\", \"encoding\": {\"x\": {\"field\": \"condition\", \"type\": \"nominal\"}, \"y\": {\"aggregate\": \"mean\", \"field\": \"temperature\", \"type\": \"quantitative\"}}}], \"data\": {\"name\": \"data-124c435c1b687eb7890344117a1c86b4\"}, \"resolve\": {\"scale\": {\"y\": \"shared\"}}, \"$schema\": \"https://vega.github.io/schema/vega-lite/v4.17.0.json\", \"datasets\": {\"data-124c435c1b687eb7890344117a1c86b4\": [{\"temperature\": 17.89365303788651, \"wind\": 78.75685633883592, \"precipitation\": 41.61124606702779, \"condition\": \"rain\"}, {\"temperature\": 5.622818441769336, \"wind\": 25.421998841055917, \"precipitation\": 74.90555083684964, \"condition\": \"rain\"}, {\"temperature\": 23.3902094090436, \"wind\": 9.846103163487696, \"precipitation\": 81.33536438710783, \"condition\": \"rain\"}, {\"temperature\": 20.889554427248395, \"wind\": 27.53521295661492, \"precipitation\": 27.6549324712597, \"condition\": \"drizzle\"}, {\"temperature\": 33.91026207788065, \"wind\": 97.91032820138525, \"precipitation\": 36.53494267552425, \"condition\": \"snow\"}, {\"temperature\": 39.65611406756084, \"wind\": 24.27383951799732, \"precipitation\": 33.38647147375286, \"condition\": \"rain\"}, {\"temperature\": 5.670659801967243, \"wind\": 98.20197823012846, \"precipitation\": 93.72832557739356, \"condition\": \"snow\"}, {\"temperature\": -2.2776070811204505, \"wind\": 77.90443786588797, \"precipitation\": 50.102310147035375, \"condition\": \"drizzle\"}, {\"temperature\": 43.104548648992775, \"wind\": 74.77698982401796, \"precipitation\": 89.95647852559429, \"condition\": \"sun\"}, {\"temperature\": 1.8049661385207525, \"wind\": 91.29152261118769, \"precipitation\": 29.77145087552332, \"condition\": \"fog\"}, {\"temperature\": 14.327115187571408, \"wind\": 45.054261048821296, \"precipitation\": 17.654846400296798, \"condition\": \"drizzle\"}, {\"temperature\": 25.44797791508993, \"wind\": 22.265267642454656, \"precipitation\": 60.37929677885421, \"condition\": \"drizzle\"}, {\"temperature\": 11.19016835531465, \"wind\": 77.30294308487814, \"precipitation\": 71.65443847888368, \"condition\": \"snow\"}, {\"temperature\": 22.948827407585433, \"wind\": 27.03785915458824, \"precipitation\": 92.68901140573688, \"condition\": \"snow\"}, {\"temperature\": 33.16555388154543, \"wind\": 92.1292103045794, \"precipitation\": 39.10838647644195, \"condition\": \"snow\"}, {\"temperature\": 9.981393546660723, \"wind\": 66.73004528306666, \"precipitation\": 19.36957583451713, \"condition\": \"drizzle\"}, {\"temperature\": 2.837559858993796, \"wind\": 18.62443662393004, \"precipitation\": 57.42273968155751, \"condition\": \"sun\"}, {\"temperature\": 39.14290590745285, \"wind\": 32.52859013259527, \"precipitation\": 88.21897530715309, \"condition\": \"rain\"}, {\"temperature\": 39.2325438266719, \"wind\": 2.511353474345024, \"precipitation\": 78.95158173752907, \"condition\": \"fog\"}, {\"temperature\": 2.949456835649645, \"wind\": 1.9370157264502197, \"precipitation\": 3.5337114891518584, \"condition\": \"fog\"}, {\"temperature\": 28.422917308067277, \"wind\": 6.822434636914776, \"precipitation\": 84.5655158038795, \"condition\": \"fog\"}, {\"temperature\": 28.406344711783838, \"wind\": 95.25216996998444, \"precipitation\": 2.312429289727791, \"condition\": \"fog\"}, {\"temperature\": 23.929825809705775, \"wind\": 28.441727967722407, \"precipitation\": 94.94371547195382, \"condition\": \"drizzle\"}, {\"temperature\": 25.144603850494207, \"wind\": 5.7248518372133965, \"precipitation\": 72.55961327284773, \"condition\": \"drizzle\"}, {\"temperature\": -3.1069016270510676, \"wind\": 90.56068308052812, \"precipitation\": 8.208347981870512, \"condition\": \"rain\"}, {\"temperature\": 43.07443333444708, \"wind\": 63.33777651825151, \"precipitation\": 35.343598004733714, \"condition\": \"sun\"}, {\"temperature\": -8.715631484900875, \"wind\": 78.50049089036061, \"precipitation\": 16.726772866900042, \"condition\": \"fog\"}, {\"temperature\": 10.058625587365142, \"wind\": 82.55410159133031, \"precipitation\": 49.82193593499935, \"condition\": \"fog\"}, {\"temperature\": 27.912341883718938, \"wind\": 45.94389098129158, \"precipitation\": 87.71806691348185, \"condition\": \"sun\"}, {\"temperature\": 28.827008981675903, \"wind\": 14.352645600160752, \"precipitation\": 95.30777240838884, \"condition\": \"sun\"}, {\"temperature\": -5.245472855196331, \"wind\": 24.463633090927274, \"precipitation\": 63.1630488725617, \"condition\": \"fog\"}, {\"temperature\": -4.738627417736829, \"wind\": 87.61779675788263, \"precipitation\": 67.17488470646667, \"condition\": \"fog\"}, {\"temperature\": -1.6463371096382655, \"wind\": 34.15953757649686, \"precipitation\": 83.20021064524306, \"condition\": \"rain\"}, {\"temperature\": -8.671469939339552, \"wind\": 28.02148157701091, \"precipitation\": 8.858286414027772, \"condition\": \"snow\"}, {\"temperature\": 23.586980668182306, \"wind\": 32.61177727202879, \"precipitation\": 90.55384722692395, \"condition\": \"snow\"}, {\"temperature\": 42.93552301196303, \"wind\": 17.459007963452034, \"precipitation\": 76.26693620563219, \"condition\": \"sun\"}, {\"temperature\": 14.04271616398174, \"wind\": 31.44611970670743, \"precipitation\": 27.736449442339893, \"condition\": \"rain\"}, {\"temperature\": 33.93136729382773, \"wind\": 85.0980112392488, \"precipitation\": 48.72266227519502, \"condition\": \"fog\"}, {\"temperature\": 29.10713627050935, \"wind\": 25.401508775422734, \"precipitation\": 83.25120184383715, \"condition\": \"fog\"}, {\"temperature\": 23.33130010979005, \"wind\": 38.960479467358745, \"precipitation\": 84.8094568801428, \"condition\": \"rain\"}, {\"temperature\": 27.820447049966695, \"wind\": 97.47611794506456, \"precipitation\": 59.404606053602336, \"condition\": \"fog\"}, {\"temperature\": 24.704809156505995, \"wind\": 56.929461372432655, \"precipitation\": 16.583726619344496, \"condition\": \"drizzle\"}, {\"temperature\": 42.73839675123029, \"wind\": 19.024929246369528, \"precipitation\": 37.515692671204135, \"condition\": \"sun\"}, {\"temperature\": 39.73480992464111, \"wind\": 63.10268501376382, \"precipitation\": 15.20512544845365, \"condition\": \"fog\"}, {\"temperature\": 34.928857478491054, \"wind\": 44.34437827092474, \"precipitation\": 2.9919970218495684, \"condition\": \"sun\"}, {\"temperature\": 12.475457440238529, \"wind\": 45.63508245761745, \"precipitation\": 1.5684442569828705, \"condition\": \"fog\"}, {\"temperature\": 11.485742656702111, \"wind\": 35.43011450755876, \"precipitation\": 46.843314320146966, \"condition\": \"fog\"}, {\"temperature\": 16.58332024159822, \"wind\": 85.9387003246595, \"precipitation\": 67.67417859666371, \"condition\": \"sun\"}, {\"temperature\": 42.96961504747511, \"wind\": 61.02100908610409, \"precipitation\": 40.19537213295094, \"condition\": \"snow\"}, {\"temperature\": 43.01306682260888, \"wind\": 91.58796490357004, \"precipitation\": 10.242970289225461, \"condition\": \"sun\"}, {\"temperature\": 17.888206090116245, \"wind\": 29.82373325722851, \"precipitation\": 44.29455934969246, \"condition\": \"sun\"}, {\"temperature\": 13.700882757230424, \"wind\": 46.93705512034313, \"precipitation\": 76.07676796446637, \"condition\": \"rain\"}, {\"temperature\": 4.986331720563626, \"wind\": 81.90760931416689, \"precipitation\": 34.892239668746406, \"condition\": \"drizzle\"}, {\"temperature\": -1.4778346288931683, \"wind\": 3.9791854357363987, \"precipitation\": 7.535152538482148, \"condition\": \"drizzle\"}, {\"temperature\": 16.892161248783623, \"wind\": 31.993361074291926, \"precipitation\": 60.46401934620111, \"condition\": \"drizzle\"}, {\"temperature\": -7.17506030059671, \"wind\": 5.042336185555952, \"precipitation\": 88.35922403405787, \"condition\": \"drizzle\"}, {\"temperature\": 9.85908134441586, \"wind\": 48.491362316119236, \"precipitation\": 23.80248472573617, \"condition\": \"snow\"}, {\"temperature\": 28.54368725395195, \"wind\": 5.72748587709313, \"precipitation\": 25.974359374267742, \"condition\": \"drizzle\"}, {\"temperature\": 41.85044222939622, \"wind\": 3.311333417116047, \"precipitation\": 1.7918023488591839, \"condition\": \"snow\"}, {\"temperature\": 39.51847585775124, \"wind\": 89.64939452111453, \"precipitation\": 48.53950512768904, \"condition\": \"fog\"}, {\"temperature\": 4.1511791382858725, \"wind\": 58.14172937556887, \"precipitation\": 79.66452798481971, \"condition\": \"drizzle\"}, {\"temperature\": 7.316849144326355, \"wind\": 6.796864846855866, \"precipitation\": 33.619090549629306, \"condition\": \"snow\"}, {\"temperature\": -6.040726652488083, \"wind\": 24.37214720554359, \"precipitation\": 71.46568853073089, \"condition\": \"rain\"}, {\"temperature\": 28.05026452008928, \"wind\": 19.39989397387041, \"precipitation\": 71.68725771245654, \"condition\": \"drizzle\"}, {\"temperature\": 35.30623993317926, \"wind\": 66.54091843981752, \"precipitation\": 22.884049790672588, \"condition\": \"rain\"}, {\"temperature\": -9.078168118751755, \"wind\": 54.53321547753263, \"precipitation\": 66.43449936744369, \"condition\": \"sun\"}, {\"temperature\": 34.31111609068961, \"wind\": 92.79899053872957, \"precipitation\": 61.9431928594434, \"condition\": \"sun\"}, {\"temperature\": -0.5340863902706268, \"wind\": 89.18484464889846, \"precipitation\": 88.49655552922172, \"condition\": \"rain\"}, {\"temperature\": -7.331283732097262, \"wind\": 16.43300088620039, \"precipitation\": 92.15523633598885, \"condition\": \"drizzle\"}, {\"temperature\": 34.4512940591614, \"wind\": 16.982566694713043, \"precipitation\": 66.50391898652623, \"condition\": \"fog\"}, {\"temperature\": 2.292195972387347, \"wind\": 78.07758659490037, \"precipitation\": 85.08941323813521, \"condition\": \"snow\"}, {\"temperature\": 10.280188069701488, \"wind\": 64.37598506985243, \"precipitation\": 46.13428294966927, \"condition\": \"sun\"}, {\"temperature\": 14.385637791164196, \"wind\": 27.710246014732775, \"precipitation\": 82.18132103083111, \"condition\": \"rain\"}, {\"temperature\": 15.068929930658907, \"wind\": 90.37313777532859, \"precipitation\": 95.42688091272505, \"condition\": \"rain\"}, {\"temperature\": -5.931704200276687, \"wind\": 76.30697305192514, \"precipitation\": 48.17926018036856, \"condition\": \"drizzle\"}, {\"temperature\": -1.2238906425326128, \"wind\": 77.25655113115953, \"precipitation\": 12.189057445370022, \"condition\": \"sun\"}, {\"temperature\": 17.981273164150583, \"wind\": 99.8855194023956, \"precipitation\": 5.951490853046981, \"condition\": \"drizzle\"}, {\"temperature\": 8.333054222089164, \"wind\": 22.351144710727677, \"precipitation\": 1.9907985646430038, \"condition\": \"rain\"}, {\"temperature\": 40.99117292213711, \"wind\": 12.537186007473021, \"precipitation\": 3.0957134444521195, \"condition\": \"drizzle\"}, {\"temperature\": 36.29560583814439, \"wind\": 47.282861379528676, \"precipitation\": 50.72175472263106, \"condition\": \"fog\"}, {\"temperature\": 8.011942225789358, \"wind\": 80.64679426688298, \"precipitation\": 84.74031260132877, \"condition\": \"sun\"}, {\"temperature\": 32.64189921238727, \"wind\": 78.38867921926278, \"precipitation\": 94.27015659699374, \"condition\": \"fog\"}, {\"temperature\": -4.159829210634211, \"wind\": 53.39060475873939, \"precipitation\": 50.60795287404672, \"condition\": \"fog\"}, {\"temperature\": -6.602296737522483, \"wind\": 86.55899134629715, \"precipitation\": 62.64697378600636, \"condition\": \"fog\"}, {\"temperature\": 40.135239145180655, \"wind\": 16.633704419495032, \"precipitation\": 41.391087682479736, \"condition\": \"drizzle\"}, {\"temperature\": 26.95881305440288, \"wind\": 85.8809786017975, \"precipitation\": 71.9617762842435, \"condition\": \"drizzle\"}, {\"temperature\": 11.92991543604046, \"wind\": 76.39140196294017, \"precipitation\": 60.40612399492309, \"condition\": \"drizzle\"}, {\"temperature\": 19.566301202766702, \"wind\": 72.97802286558691, \"precipitation\": 29.681848692175006, \"condition\": \"drizzle\"}, {\"temperature\": 10.481864045771506, \"wind\": 10.269367839292642, \"precipitation\": 85.87287289024248, \"condition\": \"rain\"}, {\"temperature\": -9.620152753805623, \"wind\": 64.57630699894213, \"precipitation\": 29.06583641537993, \"condition\": \"drizzle\"}, {\"temperature\": 24.85823346816882, \"wind\": 64.44200648973889, \"precipitation\": 32.79358601401415, \"condition\": \"sun\"}, {\"temperature\": -9.71401231081625, \"wind\": 46.94482107365025, \"precipitation\": 71.95828763550503, \"condition\": \"rain\"}, {\"temperature\": 15.802582568794556, \"wind\": 5.568264782160037, \"precipitation\": 16.50277435360922, \"condition\": \"sun\"}, {\"temperature\": 29.44740698845427, \"wind\": 66.4224540835048, \"precipitation\": 96.91347272575433, \"condition\": \"snow\"}, {\"temperature\": 0.1789559651072139, \"wind\": 37.144396583281235, \"precipitation\": 7.3927878065009445, \"condition\": \"snow\"}, {\"temperature\": 37.90262114384076, \"wind\": 23.744567572534315, \"precipitation\": 85.44013318397162, \"condition\": \"fog\"}, {\"temperature\": 40.40503203411964, \"wind\": 71.68155336881077, \"precipitation\": 91.260802513042, \"condition\": \"snow\"}, {\"temperature\": 2.723433474361908, \"wind\": 5.85694236985378, \"precipitation\": 54.0295184169758, \"condition\": \"drizzle\"}, {\"temperature\": 9.452609321039336, \"wind\": 52.7843932253772, \"precipitation\": 90.04450333194686, \"condition\": \"fog\"}, {\"temperature\": 18.909153974667404, \"wind\": 13.725377509230263, \"precipitation\": 34.56974350594094, \"condition\": \"sun\"}]}}, {\"mode\": \"vega-lite\"});\n",
-       "</script>"
-      ],
-      "text/plain": [
-       "alt.HConcatChart(...)"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "base = alt.Chart(df)\n",
-    "\n",
-    "tick = base.mark_tick().encode(y=alt.Y(field=\"temperature\", type=\"quantitative\"))\n",
-    "view_1 = tick\n",
-    "\n",
-    "bar = base.mark_bar().encode(\n",
-    "    x=alt.X(field=\"condition\", type=\"nominal\"),\n",
-    "    y=alt.Y(field=\"temperature\", type=\"quantitative\", aggregate=\"mean\"),\n",
-    ")\n",
-    "view_2 = bar\n",
-    "chart = alt.hconcat(view_1, view_2).resolve_scale(y=\"shared\")\n",
-    "\n",
-    "display_chart(chart)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {
-    "collapsed": false,
-    "jupyter": {
-     "outputs_hidden": false
-    }
-   },
-   "outputs": [],
-   "source": []
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.10.0"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 4
-}
diff --git a/draco/renderer/altair_renderer.py b/draco/renderer/altair_renderer.py
new file mode 100644
index 00000000..e97f686c
--- /dev/null
+++ b/draco/renderer/altair_renderer.py
@@ -0,0 +1,173 @@
+from dataclasses import dataclass
+from typing import TypeVar
+
+import altair as alt
+from pandas import DataFrame
+
+from ..types import (
+    Encoding,
+    EncodingChannel,
+    Field,
+    FieldName,
+    Mark,
+    SpecificationDict,
+    View,
+)
+from .base_renderer import BaseRenderer
+
+VegaLiteChart = TypeVar("VegaLiteChart", alt.VConcatChart, alt.HConcatChart, alt.Chart)
+
+
+@dataclass(frozen=True)
+class VisitorContext:
+    spec: SpecificationDict
+    product: VegaLiteChart
+    views: list[View] | None = None
+    view: View | None = None
+    mark: Mark | None = None
+    encoding: Encoding | None = None
+
+
+class AltairRenderer(BaseRenderer[VegaLiteChart]):
+    def build(self, spec: SpecificationDict, data: DataFrame) -> VegaLiteChart:
+        chart = alt.Chart(data)
+        views = []
+        for v in spec.view:
+            for m in v.mark:
+                chart = self.__visit_mark(
+                    ctx=VisitorContext(
+                        spec=spec, product=chart, views=views, view=v, mark=m
+                    )
+                )
+                for e in m.encoding:
+                    chart = self.__visit_encoding(
+                        ctx=VisitorContext(
+                            spec=spec,
+                            product=chart,
+                            views=views,
+                            view=v,
+                            mark=m,
+                            encoding=e,
+                        )
+                    )
+            chart = self.__visit_view(
+                ctx=VisitorContext(spec=spec, product=chart, views=views, view=v)
+            )
+            views.append(chart)
+        return self.__visit_root(
+            ctx=VisitorContext(spec=spec, product=chart, views=views)
+        )
+
+    def display(self, product: VegaLiteChart) -> None:
+        pass
+
+    def __visit_root(self, ctx: VisitorContext) -> VegaLiteChart:
+        views = ctx.views
+        chart = len(views) > 1 and alt.vconcat(*views) or views[0]
+        has_shared_scale = ctx.spec.scale is not None
+        if has_shared_scale:
+            channels = [s.channel for s in ctx.spec.scale]
+            resolve_scale_args = {c: "shared" for c in channels}
+            chart = chart.resolve_scale(**resolve_scale_args)
+        return chart
+
+    def __visit_view(self, ctx: VisitorContext) -> VegaLiteChart:
+        view, chart = (ctx.view, ctx.product)
+        if view.facet is not None:
+            for f in view.facet:
+                channel = f.channel
+                facet_args = {
+                    "field": f.field,
+                    "type": self.__get_field_type(ctx.spec.field, f.field),
+                }
+                if f.binning is not None:
+                    facet_args["bin"] = alt.BinParams(maxbins=f.binning)
+                match channel:
+                    case "row":
+                        chart = chart.facet(row=alt.Row(**facet_args))
+                    case "col":
+                        chart = chart.facet(column=alt.Column(**facet_args))
+                    case _:
+                        raise ValueError(f"Unknown facet channel: {channel}")
+        return chart
+
+    def __visit_mark(self, ctx: VisitorContext) -> VegaLiteChart:
+        chart, mark_type = (ctx.product, ctx.mark.type)
+        match mark_type:
+            case "point":
+                return chart.mark_point()
+            case "bar":
+                return chart.mark_bar()
+            case "line":
+                return chart.mark_line()
+            case "area":
+                return chart.mark_area()
+            case "text":
+                return chart.mark_text()
+            case "tick":
+                return chart.mark_tick()
+            case "rect":
+                return chart.mark_rect()
+            case _:
+                raise ValueError(f"Unknown mark type: {mark_type}")
+
+    def __visit_encoding(self, ctx: VisitorContext) -> VegaLiteChart:
+        spec, chart, view, encoding = (ctx.spec, ctx.product, ctx.view, ctx.encoding)
+
+        custom_args = {}
+        if encoding.field is not None:
+            custom_args["field"] = encoding.field
+            custom_args["type"] = self.__get_field_type(spec.field, encoding.field)
+        if encoding.binning is not None:
+            custom_args["bin"] = alt.BinParams(maxbins=encoding.binning)
+
+        if view.scale is not None:
+            scale_or_none = self.__get_scale_for_encoding(encoding.channel, view)
+            if scale_or_none is not None:
+                custom_args["scale"] = scale_or_none
+
+        encoding_args = (
+            encoding.dict(exclude_none=True, exclude={"channel", "field", "binning"})
+            | custom_args
+        )
+
+        match encoding.channel:
+            case "x":
+                return chart.encode(x=alt.X(**encoding_args))
+            case "y":
+                return chart.encode(y=alt.Y(**encoding_args))
+            case "color":
+                return chart.encode(color=alt.Color(**encoding_args))
+            case "size":
+                return chart.encode(size=alt.Size(**encoding_args))
+            case "shape":
+                return chart.encode(shape=alt.Shape(**encoding_args))
+            case "text":
+                return chart.encode(text=alt.Text(**encoding_args))
+            case _:
+                raise ValueError(f"Unknown channel: {encoding.channel}")
+
+    def __get_field_type(self, fields: list[Field], field_name: FieldName) -> str:
+        renames = {
+            "number": "quantitative",
+            "string": "nominal",
+            "boolean": "nominal",
+            "datetime": "temporal",
+        }
+        field_by_name = [f for f in fields if f.name == field_name]
+        if len(field_by_name) == 0:
+            raise ValueError(f"Unknown field: {field_name}")
+        return renames[field_by_name[0].type]
+
+    def __get_scale_for_encoding(
+        self, channel: EncodingChannel, view: View
+    ) -> alt.Scale | None:
+        renames = {
+            "categorical": "ordinal",
+        }
+        for scale in view.scale:
+            if scale.channel == channel:
+                scale_args = scale.dict(exclude_none=True, exclude={"channel"})
+                scale_args["type"] = renames.get(scale.type, scale.type)
+                return alt.Scale(**scale_args)
+        return None
diff --git a/draco/renderer/base_renderer.py b/draco/renderer/base_renderer.py
index 6426514d..e6550b8b 100644
--- a/draco/renderer/base_renderer.py
+++ b/draco/renderer/base_renderer.py
@@ -1,150 +1,22 @@
 from abc import ABC, abstractmethod
-from dataclasses import dataclass, field
-from functools import cached_property
-from typing import Generic, Optional, TypeVar
+from typing import Generic, TypeVar
 
 from pandas import DataFrame
 
-from draco.utils import dict_value_by_path
+from ..types import SpecificationDict
 
 T = TypeVar("T")
-SpecProperty = str | int | float | bool | None | dict | list
-
-
-@dataclass(frozen=True)
-class _VisitedItemRaw(Generic[T]):
-    value: SpecProperty
-    path: tuple[int | str, ...]
-    acc: T = field(repr=False)
-
-
-@dataclass(frozen=True)
-class VisitedItem(Generic[T]):
-    item: _VisitedItemRaw[T]
-    spec: dict = field(repr=False)
-
-    @property
-    def value(self) -> SpecProperty:
-        return self.item.value
-
-    @property
-    def path(self) -> tuple[int | str, ...]:
-        return self.item.path
-
-    @property
-    def acc(self) -> T:
-        return self.item.acc
-
-    @property
-    def type(self) -> str:
-        is_list_element = isinstance(self.path[-1], int)
-        if is_list_element:
-            return self.path[-2]
-        return self.path[-1]
-
-    @cached_property
-    def parent(self) -> Optional["VisitedItem"]:
-        raw_parent = self.__parent()
-        if raw_parent is not None:
-            return VisitedItem(item=raw_parent, spec=self.spec)
-        return None
-
-    def __parent(self) -> _VisitedItemRaw | None:
-        has_parent = len(self.path) > 1
-        if has_parent:
-            parent_path = self.path[:-1]
-            parent_value = dict_value_by_path(self.spec, parent_path)
-            return _VisitedItemRaw(parent_value, parent_path, self.acc)
-        return None
 
 
 class BaseRenderer(ABC, Generic[T]):
-    """
-    Base class for all renderers.
-    """
-
-    def __init__(self, spec: dict, df: DataFrame):
-        """
-        Creates a new renderer for the specified specification and data frame.
-
-        :param spec: dictionary-based specification
-        :param df: data frame to be rendered
-        """
-        self.spec = spec
-        self.df = df
-
-    def build(self) -> T:
-        """
-        Builds a concrete rendering product of type `T` from `self.spec` and `self.df`.
-        The rendering object's actual type depends on the concrete renderer.
-        :return: product of the rendering
-        """
-
-        def traverse(dct: dict, path: tuple[str | int, ...], acc: T):
-            """
-            Recursively visit a dictionary-based specification.
-
-            :param dct: dictionary-based specification
-            :param path: path to the current node
-            :param acc: accumulated rendering product
-            :return: the most recent rendering product
-            """
-            has_complex_children = any(
-                isinstance(v, dict) or isinstance(v, list) for v in dct.values()
-            )
-            if not has_complex_children:
-                return self._visitor(
-                    VisitedItem(
-                        item=_VisitedItemRaw(value=dct, path=path, acc=acc),
-                        spec=self.spec,
-                    )
-                )
-
-            for key, value in dct.items():
-                if isinstance(value, dict):
-                    acc = traverse(value, path + (key,), acc)
-                elif isinstance(value, list):
-                    for i, item in enumerate(value):
-                        acc = traverse(item, path + (key, i), acc)
-                else:
-                    acc = self._visitor(
-                        VisitedItem(
-                            item=_VisitedItemRaw(
-                                value=value, path=path + (key,), acc=acc
-                            ),
-                            spec=self.spec,
-                        )
-                    )
-            return acc
-
-        product = traverse(dct=self.spec, path=(), acc=self._initial)
-        post_processed = self.post_build_hook(product)
-        return post_processed
-
-    @property
     @abstractmethod
-    def _initial(self) -> T:
-        """
-        :return: The initial rendering product to start with.
-        """
+    def build(self, spec: SpecificationDict, data: DataFrame) -> T:
         raise NotImplementedError
 
     @abstractmethod
-    def _visitor(self, item: VisitedItem[T]) -> T:
-        """
-        The callback to be invoked for each visited item of the specification.
-        Should be implemented by concrete renderers to produce the rendering product
-        step-by-step based on the contents of the supplied `payload`.
-
-        :param item: the visited item
-        :return: the updated rendering product
-        """
+    def display(self, product: T) -> None:
         raise NotImplementedError
 
-    def post_build_hook(self, product: T) -> T:
-        """
-        Called after the traversal of the specification is completed.
-        Acts as a hook for post-processing the rendering product.
-        :return: the updated rendering product
-        """
-        return product
+    def render(self, spec: SpecificationDict, data: DataFrame) -> None:
+        product = self.build(spec, data)
+        self.display(product)
diff --git a/draco/renderer/vega_lite.py b/draco/renderer/vega_lite.py
deleted file mode 100644
index e69de29b..00000000
diff --git a/draco/renderer/vega_lite_renderer.py b/draco/renderer/vega_lite_renderer.py
deleted file mode 100644
index b95873d0..00000000
--- a/draco/renderer/vega_lite_renderer.py
+++ /dev/null
@@ -1,75 +0,0 @@
-import json
-
-from pandas import DataFrame
-
-from .base_renderer import BaseRenderer, VisitedItem
-
-
-class VegaLiteRenderer(BaseRenderer[dict]):
-    def __init__(self, spec: dict, df: DataFrame):
-        super().__init__(spec, df)
-
-    @property
-    def _initial(self) -> dict:
-        return {
-            "$schema": "https://vega.github.io/schema/vega-lite/v5.2.0.json",
-        }
-
-    def _visitor(self, item: VisitedItem) -> dict:
-        match item.type:
-            case "mark":
-                pass
-            case "encoding":
-                pass
-            case "scale":
-                pass
-        return item.acc
-
-    def post_build_hook(self, product: dict) -> dict:
-        # add data to VL spec
-        data = self.df.to_dict(orient="records")
-        product["data"] = {"values": data}
-        return product
-
-    __DATA_TYPE_MAP__ = {
-        "number": "quantitative",
-        "string": "nominal",
-    }
-
-
-if __name__ == "__main__":
-    from pprint import pprint
-
-    from draco.fact_utils import answer_set_to_dict
-    from draco.run import run_clingo
-
-    def facts_to_dict(facts: list[str]):
-        result = run_clingo(facts)
-        return answer_set_to_dict(next(result).answer_set)
-
-    facts = [
-        "attribute(number_rows,root,100).",
-        "entity(field,root,temperature).",
-        "attribute((field,name),temperature,temperature).",
-        "attribute((field,type),temperature,number).",
-        "entity(view,root,0).",
-        "entity(mark,0,1).",
-        "attribute((mark,type),1,tick).",
-        "entity(encoding,1,2).",
-        "attribute((encoding,channel),2,x).",
-        "attribute((encoding,field),2,temperature).",
-        "entity(scale,0,3).",
-        "attribute((scale,channel),3,x).",
-        "attribute((scale,type),3,linear).",
-    ]
-    spec = facts_to_dict(facts)
-
-    pprint(spec)
-    print()
-
-    df = DataFrame.from_records(
-        data=[dict(a=i, b=25 * i, c=50 * i) for i in range(1, 11)]
-    )
-    vl = VegaLiteRenderer(dict(spec), df)
-    product = vl.build()
-    print(json.dumps(product, indent=2))
diff --git a/draco/types.py b/draco/types.py
index fc57be5a..9348fa7c 100644
--- a/draco/types.py
+++ b/draco/types.py
@@ -1,3 +1,230 @@
-from typing import Iterable, TypeAlias
+from typing import Iterable, Literal, TypeAlias
+
+import pydantic
 
 Specification: TypeAlias = Iterable[str] | str
+
+"""
+The number of rows in the dataset.
+"""
+DatasetNumberRows = pydantic.PositiveInt
+
+"""
+The name of a data field.
+Described as `(field,name)`
+"""
+FieldName = str
+
+"""
+The type of the data in the column for this field.
+One of number, string, boolean, or datetime.
+Described as `(field,type)`
+"""
+FieldType = Literal["number", "string", "boolean", "datetime"]
+
+"""
+The number of unique values.
+Described as `(field,unique)`
+"""
+FieldUnique = pydantic.PositiveInt
+
+"""
+The entropy of the field.
+Described as `(field,entropy)`
+"""
+FieldEntropy = pydantic.PositiveFloat
+
+"""
+The minimum value. Only used for numbers.
+Described as `(field,min)`
+"""
+FieldMin = float
+
+"""
+The maximum value. Only used for numbers.
+Described as `(field,max)`
+"""
+FieldMax = float
+
+"""
+The standard deviation. Only used for numbers.
+Described as `(field,std)`
+"""
+FieldStd = pydantic.confloat(ge=0)
+
+"""
+The frequency of the most common value. Only used for strings.
+Described as `(field,freq)`
+"""
+FieldFreq = pydantic.PositiveInt
+
+"""
+When the task regards specific fields, fields can be marked as relevant to the task.
+Described as `(field,interesting)`
+"""
+FieldInteresting = bool
+
+"""
+The coordinates system of the view. Can be one of cartesian, or polar.
+Described as `(view,coordinates)`.
+"""
+ViewCoordinate = Literal["cartesian", "polar"]
+
+"""
+The mark type. One of point, bar, line, area, text, tick, or rect.
+Described as `(mark,type)`.
+"""
+MarkType = Literal["point", "bar", "line", "area", "text", "tick", "rect"]
+
+"""
+The visual channel. One of x, y, color, size, shape, or text.
+Same as `ScaleChannel`.
+Described as `(encoding,channel)`.
+"""
+EncodingChannel = Literal["x", "y", "color", "size", "shape", "text"]
+
+"""
+The field that maps to the visual property of the mark. Arbitrary string.
+Described as `(encoding,field)`.
+"""
+EncodingField = FieldName
+
+"""
+How the data is aggregated. One of count, mean, median, min, max, stdev, or sum.
+Described as `(encoding,aggregate)`.
+"""
+EncodingAggregate = Literal["count", "mean", "median", "min", "max", "stdev", "sum"]
+
+"""
+How the data is binned into N bins. Positive integer.
+Described as `(encoding,binning)`
+"""
+EncodingBinning = pydantic.PositiveInt
+
+"""
+Stacking strategy. One of zero, center, or normalize.
+Described as `(encoding,stack)`.
+"""
+EncodingStack = Literal["zero", "center", "normalize"]
+
+"""
+The scale channel. One of x, y, color, size, shape, or text.
+Same as `EncodingChannel`.
+Described as `(scale,channel)`.
+"""
+ScaleChannel = EncodingChannel
+
+"""
+The scale type. One of linear, log, ordinal, or categorical.
+Described as `(scale,type)`.
+"""
+ScaleType = Literal["linear", "log", "ordinal", "categorical"]
+
+"""
+Whether to include zero in the scale domain.
+Described as `(scale,zero)`.
+"""
+ScaleZero = bool
+
+"""
+The facet channel. Can be one of col and row.
+Described as `(facet,channel)`.
+"""
+FacetChannel = Literal["col", "row"]
+
+"""
+The facet field. Arbitrary string.
+Described as `(facet,field)`.
+"""
+FacetField = FieldName
+
+"""
+Binning a numeric field for faceting. Positive integer.
+Described as `(facet,binning)`.
+"""
+FacetBinning = EncodingBinning
+
+
+class SchemaBase(pydantic.BaseModel):
+    class Config:
+        extra = pydantic.Extra.forbid
+
+
+class Encoding(SchemaBase):
+    channel: EncodingChannel
+    field: EncodingField | None = None
+    aggregate: EncodingAggregate | None = None
+    binning: EncodingBinning | None = None
+    stack: EncodingStack | None = None
+
+    @pydantic.root_validator(pre=True)
+    def check_field_is_present_unless_agg_count(cls, values: dict):
+        if values.get("aggregate", None) != "count" and "field" not in values:
+            raise ValueError("field must be present unless aggregate is count")
+        return values
+
+
+class Mark(SchemaBase):
+    type: MarkType
+    encoding: list[Encoding]
+
+
+class Scale(SchemaBase):
+    channel: ScaleChannel
+    type: ScaleType = pydantic.Field(default="linear")
+    zero: ScaleZero | None = None
+
+
+class Facet(SchemaBase):
+    channel: FacetChannel
+    field: FacetField
+    binning: FacetBinning | None = None
+
+
+class View(SchemaBase):
+    coordinates: ViewCoordinate = pydantic.Field(default="cartesian")
+    mark: list[Mark]
+    scale: list[Scale] | None = None
+    facet: list[Facet] | None = None
+
+
+class Field(SchemaBase):
+    name: FieldName
+    type: FieldType
+    unique: FieldUnique | None = None
+    entropy: FieldEntropy | None = None
+    min: FieldMin | None = None
+    max: FieldMax | None = None
+    std: FieldStd | None = None
+    freq: FieldFreq | None = None
+    interesting: FieldInteresting | None = None
+
+    __STRING_ONLY_FIELDS__ = {"freq"}
+    __NUMBER_ONLY_FIELDS__ = {"min", "max", "std"}
+
+    @pydantic.root_validator(pre=True)
+    def check_no_string_attributes_on_number_type(cls, values: dict):
+        if values["type"] == "number":
+            for field in cls.__STRING_ONLY_FIELDS__:
+                if field in values:
+                    raise ValueError(
+                        f"{field} is not a valid attribute for a number field"
+                    )
+        return values
+
+    @pydantic.root_validator(pre=True)
+    def check_no_number_attributes_on_string_type(cls, values: dict):
+        if values["type"] == "string":
+            for field in cls.__NUMBER_ONLY_FIELDS__:
+                if field in values:
+                    raise ValueError(
+                        f"{field} is not a valid attribute for a string field"
+                    )
+        return values
+
+
+class SpecificationDict(SchemaBase):
+    number_rows: DatasetNumberRows
+    field: list[Field]
+    view: list[View]
+    scale: list[Scale] | None = None

From 43644e6fbbe1a0807b6fad9d471d76628f0839ae Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?P=C3=A9ter=20Ferenc=20Gyarmati?= <dev.petergy@gmail.com>
Date: Thu, 10 Nov 2022 18:03:12 +0100
Subject: [PATCH 07/45] chore: update `mypy`

The previous version crashed for some cases including `Generic` types
---
 poetry.lock    | 2327 ++++++++----------------------------------------
 pyproject.toml |    2 +-
 2 files changed, 381 insertions(+), 1948 deletions(-)

diff --git a/poetry.lock b/poetry.lock
index 4a81e27d..b43cdcb7 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -23,7 +23,7 @@ pandas = ">=0.18"
 toolz = "*"
 
 [package.extras]
-dev = ["black", "docutils", "flake8", "ipython", "m2r", "mistune (<2.0.0)", "pytest", "recommonmark", "sphinx", "vega-datasets"]
+dev = ["black", "docutils", "ipython", "flake8", "pytest", "sphinx", "mistune (<2.0.0)", "m2r", "vega-datasets", "recommonmark"]
 
 [[package]]
 name = "anyio"
@@ -38,8 +38,8 @@ idna = ">=2.8"
 sniffio = ">=1.1"
 
 [package.extras]
-doc = ["packaging", "sphinx-autodoc-typehints (>=1.2.0)", "sphinx-rtd-theme"]
-test = ["contextlib2", "coverage[toml] (>=4.5)", "hypothesis (>=4.0)", "mock (>=4)", "pytest (>=7.0)", "pytest-mock (>=3.6.1)", "trustme", "uvloop (<0.15)", "uvloop (>=0.15)"]
+doc = ["packaging", "sphinx-rtd-theme", "sphinx-autodoc-typehints (>=1.2.0)"]
+test = ["coverage[toml] (>=4.5)", "hypothesis (>=4.0)", "pytest (>=7.0)", "pytest-mock (>=3.6.1)", "trustme", "contextlib2", "uvloop (<0.15)", "mock (>=4)", "uvloop (>=0.15)"]
 trio = ["trio (>=0.16,<0.22)"]
 
 [[package]]
@@ -62,8 +62,8 @@ python-versions = ">=3.6"
 argon2-cffi-bindings = "*"
 
 [package.extras]
-dev = ["cogapp", "coverage[toml] (>=5.0.2)", "furo", "hypothesis", "pre-commit", "pytest", "sphinx", "sphinx-notfound-page", "tomli"]
-docs = ["furo", "sphinx", "sphinx-notfound-page"]
+dev = ["pre-commit", "cogapp", "tomli", "coverage[toml] (>=5.0.2)", "hypothesis", "pytest", "sphinx", "sphinx-notfound-page", "furo"]
+docs = ["sphinx", "sphinx-notfound-page", "furo"]
 tests = ["coverage[toml] (>=5.0.2)", "hypothesis", "pytest"]
 
 [[package]]
@@ -78,12 +78,12 @@ python-versions = ">=3.6"
 cffi = ">=1.0.1"
 
 [package.extras]
-dev = ["cogapp", "pre-commit", "pytest", "wheel"]
+dev = ["pytest", "cogapp", "pre-commit", "wheel"]
 tests = ["pytest"]
 
 [[package]]
 name = "asttokens"
-version = "2.0.8"
+version = "2.1.0"
 description = "Annotate AST trees with source code positions"
 category = "dev"
 optional = false
@@ -104,14 +104,14 @@ optional = false
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
 
 [package.extras]
-dev = ["cloudpickle", "coverage[toml] (>=5.0.2)", "furo", "hypothesis", "mypy", "pre-commit", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins", "six", "sphinx", "sphinx-notfound-page", "zope.interface"]
-docs = ["furo", "sphinx", "sphinx-notfound-page", "zope.interface"]
-tests = ["cloudpickle", "coverage[toml] (>=5.0.2)", "hypothesis", "mypy", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins", "six", "zope.interface"]
-tests-no-zope = ["cloudpickle", "coverage[toml] (>=5.0.2)", "hypothesis", "mypy", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins", "six"]
+dev = ["coverage[toml] (>=5.0.2)", "hypothesis", "pympler", "pytest (>=4.3.0)", "six", "mypy", "pytest-mypy-plugins", "zope.interface", "furo", "sphinx", "sphinx-notfound-page", "pre-commit", "cloudpickle"]
+docs = ["furo", "sphinx", "zope.interface", "sphinx-notfound-page"]
+tests = ["coverage[toml] (>=5.0.2)", "hypothesis", "pympler", "pytest (>=4.3.0)", "six", "mypy", "pytest-mypy-plugins", "zope.interface", "cloudpickle"]
+tests_no_zope = ["coverage[toml] (>=5.0.2)", "hypothesis", "pympler", "pytest (>=4.3.0)", "six", "mypy", "pytest-mypy-plugins", "cloudpickle"]
 
 [[package]]
 name = "babel"
-version = "2.10.3"
+version = "2.11.0"
 description = "Internationalization utilities"
 category = "dev"
 optional = false
@@ -180,7 +180,7 @@ webencodings = "*"
 
 [package.extras]
 css = ["tinycss2 (>=1.1.0,<1.2)"]
-dev = ["Sphinx (==4.3.2)", "black (==22.3.0)", "build (==0.8.0)", "flake8 (==4.0.1)", "hashin (==0.17.0)", "mypy (==0.961)", "pip-tools (==6.6.2)", "pytest (==7.1.2)", "tox (==3.25.0)", "twine (==4.0.1)", "wheel (==0.37.1)"]
+dev = ["build (==0.8.0)", "flake8 (==4.0.1)", "hashin (==0.17.0)", "pip-tools (==6.6.2)", "pytest (==7.1.2)", "Sphinx (==4.3.2)", "tox (==3.25.0)", "twine (==4.0.1)", "wheel (==0.37.1)", "black (==22.3.0)", "mypy (==0.961)"]
 
 [[package]]
 name = "certifi"
@@ -218,7 +218,7 @@ optional = false
 python-versions = ">=3.6.0"
 
 [package.extras]
-unicode-backport = ["unicodedata2"]
+unicode_backport = ["unicodedata2"]
 
 [[package]]
 name = "click"
@@ -233,7 +233,7 @@ colorama = {version = "*", markers = "platform_system == \"Windows\""}
 
 [[package]]
 name = "clingo"
-version = "5.6.1"
+version = "5.6.2"
 description = "CFFI-based bindings to the clingo solver."
 category = "main"
 optional = false
@@ -244,15 +244,15 @@ cffi = "*"
 
 [[package]]
 name = "colorama"
-version = "0.4.5"
+version = "0.4.6"
 description = "Cross-platform colored terminal text."
 category = "main"
 optional = false
-python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
+python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,>=2.7"
 
 [[package]]
 name = "contourpy"
-version = "1.0.5"
+version = "1.0.6"
 description = "Python library for calculating contours of 2D quadrilateral grids"
 category = "main"
 optional = false
@@ -263,10 +263,10 @@ numpy = ">=1.16"
 
 [package.extras]
 bokeh = ["bokeh", "selenium"]
-docs = ["docutils (<0.18)", "sphinx", "sphinx-rtd-theme"]
-test = ["Pillow", "flake8", "isort", "matplotlib", "pytest"]
+docs = ["docutils (<0.18)", "sphinx (<=5.2.0)", "sphinx-rtd-theme"]
+test = ["pytest", "matplotlib", "pillow", "flake8", "isort"]
 test-minimal = ["pytest"]
-test-no-codebase = ["Pillow", "matplotlib", "pytest"]
+test-no-codebase = ["pytest", "matplotlib", "pillow"]
 
 [[package]]
 name = "coverage"
@@ -340,7 +340,7 @@ python-versions = ">=3.6"
 
 [[package]]
 name = "exceptiongroup"
-version = "1.0.0"
+version = "1.0.1"
 description = "Backport of PEP 654 (exception groups)"
 category = "dev"
 optional = false
@@ -351,18 +351,18 @@ test = ["pytest (>=6)"]
 
 [[package]]
 name = "executing"
-version = "1.1.1"
+version = "1.2.0"
 description = "Get the currently executing AST node of a frame, and other information"
 category = "dev"
 optional = false
 python-versions = "*"
 
 [package.extras]
-tests = ["asttokens", "littleutils", "pytest", "rich"]
+tests = ["asttokens", "pytest", "littleutils", "rich"]
 
 [[package]]
 name = "fastapi"
-version = "0.85.1"
+version = "0.85.2"
 description = "FastAPI framework, high performance, easy to learn, fast to code, ready for production"
 category = "main"
 optional = false
@@ -375,8 +375,8 @@ starlette = "0.20.4"
 [package.extras]
 all = ["email-validator (>=1.1.1,<2.0.0)", "itsdangerous (>=1.1.0,<3.0.0)", "jinja2 (>=2.11.2,<4.0.0)", "orjson (>=3.2.1,<4.0.0)", "python-multipart (>=0.0.5,<0.0.6)", "pyyaml (>=5.3.1,<7.0.0)", "requests (>=2.24.0,<3.0.0)", "ujson (>=4.0.1,!=4.0.2,!=4.1.0,!=4.2.0,!=4.3.0,!=5.0.0,!=5.1.0,<6.0.0)", "uvicorn[standard] (>=0.12.0,<0.19.0)"]
 dev = ["autoflake (>=1.4.0,<2.0.0)", "flake8 (>=3.8.3,<6.0.0)", "pre-commit (>=2.17.0,<3.0.0)", "uvicorn[standard] (>=0.12.0,<0.19.0)"]
-doc = ["mdx-include (>=1.4.1,<2.0.0)", "mkdocs (>=1.1.2,<2.0.0)", "mkdocs-markdownextradata-plugin (>=0.1.7,<0.3.0)", "mkdocs-material (>=8.1.4,<9.0.0)", "pyyaml (>=5.3.1,<7.0.0)", "typer (>=0.4.1,<0.7.0)"]
-test = ["anyio[trio] (>=3.2.1,<4.0.0)", "black (==22.8.0)", "databases[sqlite] (>=0.3.2,<0.7.0)", "email-validator (>=1.1.1,<2.0.0)", "flake8 (>=3.8.3,<6.0.0)", "flask (>=1.1.2,<3.0.0)", "httpx (>=0.23.0,<0.24.0)", "isort (>=5.0.6,<6.0.0)", "mypy (==0.971)", "orjson (>=3.2.1,<4.0.0)", "passlib[bcrypt] (>=1.7.2,<2.0.0)", "peewee (>=3.13.3,<4.0.0)", "pytest (>=7.1.3,<8.0.0)", "pytest-cov (>=2.12.0,<4.0.0)", "python-jose[cryptography] (>=3.3.0,<4.0.0)", "python-multipart (>=0.0.5,<0.0.6)", "pyyaml (>=5.3.1,<7.0.0)", "requests (>=2.24.0,<3.0.0)", "sqlalchemy (>=1.3.18,<1.5.0)", "types-orjson (==3.6.2)", "types-ujson (==5.4.0)", "ujson (>=4.0.1,!=4.0.2,!=4.1.0,!=4.2.0,!=4.3.0,!=5.0.0,!=5.1.0,<6.0.0)"]
+doc = ["mdx-include (>=1.4.1,<2.0.0)", "mkdocs-markdownextradata-plugin (>=0.1.7,<0.3.0)", "mkdocs-material (>=8.1.4,<9.0.0)", "mkdocs (>=1.1.2,<2.0.0)", "pyyaml (>=5.3.1,<7.0.0)", "typer[all] (>=0.6.1,<0.7.0)"]
+test = ["anyio[trio] (>=3.2.1,<4.0.0)", "black (==22.8.0)", "databases[sqlite] (>=0.3.2,<0.7.0)", "email-validator (>=1.1.1,<2.0.0)", "flake8 (>=3.8.3,<6.0.0)", "flask (>=1.1.2,<3.0.0)", "httpx (>=0.23.0,<0.24.0)", "isort (>=5.0.6,<6.0.0)", "mypy (==0.982)", "orjson (>=3.2.1,<4.0.0)", "passlib[bcrypt] (>=1.7.2,<2.0.0)", "peewee (>=3.13.3,<4.0.0)", "pytest-cov (>=2.12.0,<5.0.0)", "pytest (>=7.1.3,<8.0.0)", "python-jose[cryptography] (>=3.3.0,<4.0.0)", "python-multipart (>=0.0.5,<0.0.6)", "pyyaml (>=5.3.1,<7.0.0)", "requests (>=2.24.0,<3.0.0)", "sqlalchemy (>=1.3.18,<=1.4.41)", "types-orjson (==3.6.2)", "types-ujson (==5.5.0)", "ujson (>=4.0.1,!=4.0.2,!=4.1.0,!=4.2.0,!=4.3.0,!=5.0.0,!=5.1.0,<6.0.0)"]
 
 [[package]]
 name = "fastjsonschema"
@@ -387,7 +387,7 @@ optional = false
 python-versions = "*"
 
 [package.extras]
-devel = ["colorama", "json-spec", "jsonschema", "pylint", "pytest", "pytest-benchmark", "pytest-cache", "validictory"]
+devel = ["colorama", "jsonschema", "json-spec", "pylint", "pytest", "pytest-benchmark", "pytest-cache", "validictory"]
 
 [[package]]
 name = "filelock"
@@ -429,16 +429,16 @@ tomli = "*"
 
 [[package]]
 name = "fonttools"
-version = "4.37.4"
+version = "4.38.0"
 description = "Tools to manipulate font files"
 category = "main"
 optional = false
 python-versions = ">=3.7"
 
 [package.extras]
-all = ["brotli (>=1.0.1)", "brotlicffi (>=0.8.0)", "fs (>=2.2.0,<3)", "lxml (>=4.0,<5)", "lz4 (>=1.7.4.2)", "matplotlib", "munkres", "scipy", "skia-pathops (>=0.5.0)", "sympy", "uharfbuzz (>=0.23.0)", "unicodedata2 (>=14.0.0)", "xattr", "zopfli (>=0.1.4)"]
+all = ["fs (>=2.2.0,<3)", "lxml (>=4.0,<5)", "zopfli (>=0.1.4)", "lz4 (>=1.7.4.2)", "matplotlib", "sympy", "skia-pathops (>=0.5.0)", "uharfbuzz (>=0.23.0)", "brotlicffi (>=0.8.0)", "scipy", "brotli (>=1.0.1)", "munkres", "unicodedata2 (>=14.0.0)", "xattr"]
 graphite = ["lz4 (>=1.7.4.2)"]
-interpolatable = ["munkres", "scipy"]
+interpolatable = ["scipy", "munkres"]
 lxml = ["lxml (>=4.0,<5)"]
 pathops = ["skia-pathops (>=0.5.0)"]
 plot = ["matplotlib"]
@@ -447,7 +447,7 @@ symfont = ["sympy"]
 type1 = ["xattr"]
 ufo = ["fs (>=2.2.0,<3)"]
 unicode = ["unicodedata2 (>=14.0.0)"]
-woff = ["brotli (>=1.0.1)", "brotlicffi (>=0.8.0)", "zopfli (>=0.1.4)"]
+woff = ["zopfli (>=0.1.4)", "brotlicffi (>=0.8.0)", "brotli (>=1.0.1)"]
 
 [[package]]
 name = "gitdb"
@@ -473,14 +473,15 @@ gitdb = ">=4.0.1,<5"
 
 [[package]]
 name = "greenlet"
-version = "1.1.3.post0"
+version = "2.0.1"
 description = "Lightweight in-process concurrent programming"
 category = "dev"
 optional = false
 python-versions = ">=2.7,!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*"
 
 [package.extras]
-docs = ["Sphinx"]
+docs = ["sphinx", "docutils (<0.18)"]
+test = ["objgraph", "psutil", "faulthandler"]
 
 [[package]]
 name = "h11"
@@ -492,7 +493,7 @@ python-versions = ">=3.7"
 
 [[package]]
 name = "identify"
-version = "2.5.6"
+version = "2.5.8"
 description = "File identification library for Python"
 category = "dev"
 optional = false
@@ -540,9 +541,9 @@ python-versions = ">=3.7"
 zipp = ">=0.5"
 
 [package.extras]
-docs = ["furo", "jaraco.packaging (>=9)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)"]
+docs = ["sphinx (>=3.5)", "jaraco.packaging (>=9)", "rst.linker (>=1.9)", "furo", "jaraco.tidelift (>=1.4)"]
 perf = ["ipython"]
-testing = ["flake8 (<5)", "flufl.flake8", "importlib-resources (>=1.3)", "packaging", "pyfakefs", "pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=1.3)", "pytest-flake8", "pytest-mypy (>=0.9.1)", "pytest-perf (>=0.9.2)"]
+testing = ["pytest (>=6)", "pytest-checkdocs (>=2.4)", "pytest-flake8", "flake8 (<5)", "pytest-cov", "pytest-enabler (>=1.3)", "packaging", "pyfakefs", "flufl.flake8", "pytest-perf (>=0.9.2)", "pytest-black (>=0.3.7)", "pytest-mypy (>=0.9.1)", "importlib-resources (>=1.3)"]
 
 [[package]]
 name = "iniconfig"
@@ -554,11 +555,11 @@ python-versions = "*"
 
 [[package]]
 name = "ipykernel"
-version = "6.16.1"
+version = "6.17.1"
 description = "IPython Kernel for Jupyter"
 category = "dev"
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 
 [package.dependencies]
 appnope = {version = "*", markers = "platform_system == \"Darwin\""}
@@ -575,11 +576,11 @@ traitlets = ">=5.1.0"
 
 [package.extras]
 docs = ["myst-parser", "pydata-sphinx-theme", "sphinx", "sphinxcontrib-github-alt"]
-test = ["flaky", "ipyparallel", "pre-commit", "pytest (>=7.0)", "pytest-cov", "pytest-timeout"]
+test = ["flaky", "ipyparallel", "pre-commit", "pytest-cov", "pytest-timeout", "pytest (>=7.0)"]
 
 [[package]]
 name = "ipython"
-version = "8.5.0"
+version = "8.6.0"
 description = "IPython: Productive Interactive Computing"
 category = "dev"
 optional = false
@@ -600,9 +601,9 @@ stack-data = "*"
 traitlets = ">=5"
 
 [package.extras]
-all = ["Sphinx (>=1.3)", "black", "curio", "ipykernel", "ipyparallel", "ipywidgets", "matplotlib (!=3.2.0)", "nbconvert", "nbformat", "notebook", "numpy (>=1.19)", "pandas", "pytest (<7.1)", "pytest-asyncio", "qtconsole", "testpath", "trio"]
+all = ["black", "ipykernel", "setuptools (>=18.5)", "sphinx (>=1.3)", "sphinx-rtd-theme", "docrepr", "matplotlib", "stack-data", "pytest (<7)", "typing-extensions", "pytest (<7.1)", "pytest-asyncio", "testpath", "nbconvert", "nbformat", "ipywidgets", "notebook", "ipyparallel", "qtconsole", "curio", "matplotlib (!=3.2.0)", "numpy (>=1.20)", "pandas", "trio"]
 black = ["black"]
-doc = ["Sphinx (>=1.3)"]
+doc = ["ipykernel", "setuptools (>=18.5)", "sphinx (>=1.3)", "sphinx-rtd-theme", "docrepr", "matplotlib", "stack-data", "pytest (<7)", "typing-extensions", "pytest (<7.1)", "pytest-asyncio", "testpath"]
 kernel = ["ipykernel"]
 nbconvert = ["nbconvert"]
 nbformat = ["nbformat"]
@@ -610,7 +611,7 @@ notebook = ["ipywidgets", "notebook"]
 parallel = ["ipyparallel"]
 qtconsole = ["qtconsole"]
 test = ["pytest (<7.1)", "pytest-asyncio", "testpath"]
-test-extra = ["curio", "matplotlib (!=3.2.0)", "nbformat", "numpy (>=1.19)", "pandas", "pytest (<7.1)", "pytest-asyncio", "testpath", "trio"]
+test_extra = ["pytest (<7.1)", "pytest-asyncio", "testpath", "curio", "matplotlib (!=3.2.0)", "nbformat", "numpy (>=1.20)", "pandas", "trio"]
 
 [[package]]
 name = "ipython-genutils"
@@ -637,7 +638,7 @@ traitlets = ">=4.3.1"
 widgetsnbextension = ">=3.6.0,<3.7.0"
 
 [package.extras]
-test = ["mock", "pytest (>=3.6.0)", "pytest-cov"]
+test = ["pytest (>=3.6.0)", "pytest-cov", "mock"]
 
 [[package]]
 name = "isort"
@@ -648,10 +649,10 @@ optional = false
 python-versions = ">=3.6.1,<4.0"
 
 [package.extras]
+pipfile_deprecated_finder = ["pipreqs", "requirementslib"]
+requirements_deprecated_finder = ["pipreqs", "pip-api"]
 colors = ["colorama (>=0.4.3,<0.5.0)"]
-pipfile-deprecated-finder = ["pipreqs", "requirementslib"]
 plugins = ["setuptools"]
-requirements-deprecated-finder = ["pip-api", "pipreqs"]
 
 [[package]]
 name = "jedi"
@@ -712,12 +713,11 @@ python-versions = "*"
 [package.dependencies]
 attrs = ">=17.4.0"
 pyrsistent = ">=0.14.0"
-setuptools = "*"
 six = ">=1.11.0"
 
 [package.extras]
 format = ["idna", "jsonpointer (>1.13)", "rfc3987", "strict-rfc3339", "webcolors"]
-format-nongpl = ["idna", "jsonpointer (>1.13)", "rfc3339-validator", "rfc3986-validator (>0.1.0)", "webcolors"]
+format_nongpl = ["idna", "jsonpointer (>1.13)", "webcolors", "rfc3986-validator (>0.1.0)", "rfc3339-validator"]
 
 [[package]]
 name = "jupyter-book"
@@ -748,10 +748,10 @@ sphinx_togglebutton = "*"
 sphinxcontrib-bibtex = ">=2.2.0,<=2.5.0"
 
 [package.extras]
-code-style = ["pre-commit (>=2.12,<3.0)"]
+code_style = ["pre-commit (>=2.12,<3.0)"]
 pdfhtml = ["pyppeteer"]
-sphinx = ["altair", "bokeh", "folium", "ipywidgets", "jupytext", "matplotlib", "nbclient", "numpy", "pandas", "plotly", "sphinx-click", "sphinx-examples", "sphinx-proof", "sphinx_inline_tabs", "sphinxext-rediraffe (>=0.2.3,<0.3.0)", "sympy"]
-testing = ["altair", "beautifulsoup4", "beautifulsoup4", "cookiecutter", "coverage", "jupytext", "matplotlib", "pyppeteer", "pytest (>=6.2.4)", "pytest-cov", "pytest-regressions", "pytest-timeout", "pytest-xdist", "sphinx_click", "sphinx_tabs", "texsoup"]
+sphinx = ["altair", "bokeh", "folium", "ipywidgets", "jupytext", "matplotlib", "nbclient", "numpy", "pandas", "plotly", "sphinx-click", "sphinx-examples", "sphinx-inline-tabs", "sphinx-proof", "sphinxext-rediraffe (>=0.2.3,<0.3.0)", "sympy"]
+testing = ["altair", "beautifulsoup4", "beautifulsoup4", "cookiecutter", "coverage", "jupytext", "matplotlib", "pyppeteer", "pytest (>=6.2.4)", "pytest-cov", "pytest-regressions", "pytest-timeout", "pytest-xdist", "sphinx-click", "sphinx-tabs", "texsoup"]
 
 [[package]]
 name = "jupyter-cache"
@@ -769,14 +769,14 @@ nbformat = "*"
 sqlalchemy = ">=1.3.12,<1.5"
 
 [package.extras]
-cli = ["click", "click-completion", "click-log", "pyyaml", "tabulate"]
-code-style = ["black", "flake8 (>=3.7.0,<3.8.0)", "pre-commit (==1.17.0)"]
-rtd = ["myst-nb (>=0.7,<1.0)", "pydata-sphinx-theme", "sphinx-copybutton"]
-testing = ["coverage", "ipykernel", "matplotlib", "nbformat (>=5.1)", "numpy", "pandas", "pytest (>=3.6,<4)", "pytest-cov", "pytest-regressions", "sympy"]
+testing = ["nbformat (>=5.1)", "pandas", "sympy", "numpy", "matplotlib", "pytest-regressions", "pytest-cov", "pytest (>=3.6,<4)", "coverage", "ipykernel"]
+rtd = ["pydata-sphinx-theme", "sphinx-copybutton", "myst-nb (>=0.7,<1.0)"]
+code_style = ["pre-commit (==1.17.0)", "black", "flake8 (>=3.7.0,<3.8.0)"]
+cli = ["pyyaml", "tabulate", "click-log", "click-completion", "click"]
 
 [[package]]
 name = "jupyter-client"
-version = "7.4.3"
+version = "7.4.5"
 description = "Jupyter protocol implementation and client libraries"
 category = "dev"
 optional = false
@@ -792,18 +792,19 @@ tornado = ">=6.2"
 traitlets = "*"
 
 [package.extras]
-doc = ["ipykernel", "myst-parser", "sphinx (>=1.3.6)", "sphinx-rtd-theme", "sphinxcontrib-github-alt"]
+doc = ["ipykernel", "myst-parser", "sphinx-rtd-theme", "sphinx (>=1.3.6)", "sphinxcontrib-github-alt"]
 test = ["codecov", "coverage", "ipykernel (>=6.12)", "ipython", "mypy", "pre-commit", "pytest", "pytest-asyncio (>=0.18)", "pytest-cov", "pytest-timeout"]
 
 [[package]]
 name = "jupyter-core"
-version = "4.11.2"
+version = "5.0.0"
 description = "Jupyter core package. A base package on which Jupyter projects rely."
 category = "dev"
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 
 [package.dependencies]
+platformdirs = "*"
 pywin32 = {version = ">=1.0", markers = "sys_platform == \"win32\" and platform_python_implementation != \"PyPy\""}
 traitlets = "*"
 
@@ -812,8 +813,8 @@ test = ["ipykernel", "pre-commit", "pytest", "pytest-cov", "pytest-timeout"]
 
 [[package]]
 name = "jupyter-server"
-version = "1.21.0"
-description = "The backend—i.e. core services, APIs, and REST endpoints—to Jupyter web applications."
+version = "1.23.1"
+description = "=?utf-8?q?The_backend=E2=80=94i=2Ee=2E_core_services=2C_APIs=2C_and_REST_endpoints=E2=80=94to_Jupyter_web_applications=2E?="
 category = "dev"
 optional = false
 python-versions = ">=3.7"
@@ -837,7 +838,7 @@ traitlets = ">=5.1"
 websocket-client = "*"
 
 [package.extras]
-test = ["coverage", "ipykernel", "pre-commit", "pytest (>=7.0)", "pytest-console-scripts", "pytest-cov", "pytest-mock", "pytest-timeout", "pytest-tornasync", "requests"]
+test = ["coverage", "ipykernel", "pre-commit", "pytest-console-scripts", "pytest-cov", "pytest-mock", "pytest-timeout", "pytest-tornasync", "pytest (>=7.0)", "requests"]
 
 [[package]]
 name = "jupyter-server-mathjax"
@@ -851,7 +852,7 @@ python-versions = ">=3.7"
 jupyter-server = ">=1.1"
 
 [package.extras]
-test = ["jupyter-server[test]", "pytest"]
+test = ["pytest", "jupyter-server"]
 
 [[package]]
 name = "jupyter-sphinx"
@@ -889,7 +890,7 @@ tomli = "*"
 tornado = ">=6.1.0"
 
 [package.extras]
-test = ["check-manifest", "coverage", "jupyterlab-server[test]", "pre-commit", "pytest (>=6.0)", "pytest-check-links (>=0.5)", "pytest-console-scripts", "pytest-cov", "requests", "requests-cache", "virtualenv"]
+test = ["check-manifest", "coverage", "jupyterlab-server", "pre-commit", "pytest (>=6.0)", "pytest-cov", "pytest-console-scripts", "pytest-check-links (>=0.5)", "requests", "requests-cache", "virtualenv"]
 ui-tests = ["build"]
 
 [[package]]
@@ -902,7 +903,7 @@ python-versions = ">=3.7"
 
 [[package]]
 name = "jupyterlab-server"
-version = "2.16.1"
+version = "2.16.2"
 description = "A set of server components for JupyterLab and JupyterLab like applications."
 category = "dev"
 optional = false
@@ -920,7 +921,7 @@ requests = "*"
 [package.extras]
 docs = ["autodoc-traits", "docutils (<0.19)", "jinja2 (<3.1.0)", "mistune (<1)", "myst-parser", "pydata-sphinx-theme", "sphinx", "sphinx-copybutton", "sphinxcontrib-openapi"]
 openapi = ["openapi-core (>=0.14.2)", "ruamel-yaml"]
-test = ["codecov", "ipykernel", "jupyter-server[test]", "openapi-core (>=0.14.2,<0.15.0)", "openapi-spec-validator (<0.5)", "pytest (>=7.0)", "pytest-console-scripts", "pytest-cov", "ruamel-yaml", "strict-rfc3339"]
+test = ["codecov", "ipykernel", "jupyter-server", "openapi-core (>=0.14.2,<0.15.0)", "openapi-spec-validator (<0.5)", "pytest-console-scripts", "pytest-cov", "pytest (>=7.0)", "ruamel-yaml", "strict-rfc3339"]
 
 [[package]]
 name = "jupyterlab-widgets"
@@ -951,7 +952,7 @@ six = ">=1.4.1"
 
 [[package]]
 name = "libcst"
-version = "0.4.7"
+version = "0.4.8"
 description = "A concrete syntax tree with AST-like properties for Python 3.5, 3.6, 3.7, 3.8, 3.9, and 3.10 programs."
 category = "dev"
 optional = false
@@ -963,7 +964,7 @@ typing-extensions = ">=3.7.4.2"
 typing-inspect = ">=0.4.0"
 
 [package.extras]
-dev = ["black (==22.3.0)", "coverage (>=4.5.4)", "fixit (==0.1.1)", "flake8 (>=3.7.8)", "hypothesis (>=4.36.0)", "hypothesmith (>=0.0.4)", "jinja2 (==3.0.3)", "jupyter (>=1.0.0)", "maturin (>=0.8.3,<0.9)", "nbsphinx (>=0.4.2)", "prompt-toolkit (>=2.0.9)", "pyre-check (==0.9.9)", "setuptools-rust (>=0.12.1)", "setuptools-scm (>=6.0.1)", "slotscheck (>=0.7.1)", "sphinx-rtd-theme (>=0.4.3)", "ufmt (==1.3)", "usort (==1.0.0rc1)"]
+dev = ["black (==22.10.0)", "coverage (>=4.5.4)", "fixit (==0.1.1)", "flake8 (>=3.7.8,<5)", "Sphinx (>=5.1.1)", "hypothesis (>=4.36.0)", "hypothesmith (>=0.0.4)", "jupyter (>=1.0.0)", "maturin (>=0.8.3,<0.14)", "nbsphinx (>=0.4.2)", "prompt-toolkit (>=2.0.9)", "setuptools-scm (>=6.0.1)", "sphinx-rtd-theme (>=0.4.3)", "ufmt (==2.0.1)", "usort (==1.0.5)", "setuptools-rust (>=0.12.1)", "slotscheck (>=0.7.1)", "jinja2 (==3.1.2)", "pyre-check (==0.9.9)"]
 
 [[package]]
 name = "linkify-it-py"
@@ -977,10 +978,10 @@ python-versions = ">=3.6"
 uc-micro-py = "*"
 
 [package.extras]
-benchmark = ["pytest", "pytest-benchmark"]
+test = ["pytest-cov", "pytest", "coverage"]
+doc = ["myst-parser", "sphinx-book-theme", "sphinx"]
 dev = ["black", "flake8", "isort", "pre-commit"]
-doc = ["myst-parser", "sphinx", "sphinx-book-theme"]
-test = ["coverage", "pytest", "pytest-cov"]
+benchmark = ["pytest-benchmark", "pytest"]
 
 [[package]]
 name = "lxml"
@@ -993,7 +994,7 @@ python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, != 3.4.*"
 [package.extras]
 cssselect = ["cssselect (>=0.7)"]
 html5 = ["html5lib"]
-htmlsoup = ["BeautifulSoup4"]
+htmlsoup = ["beautifulsoup4"]
 source = ["Cython (>=0.29.7)"]
 
 [[package]]
@@ -1008,12 +1009,12 @@ python-versions = "~=3.6"
 attrs = ">=19,<22"
 
 [package.extras]
-code-style = ["pre-commit (==2.6)"]
-compare = ["commonmark (>=0.9.1,<0.10.0)", "markdown (>=3.2.2,<3.3.0)", "mistletoe-ebp (>=0.10.0,<0.11.0)", "mistune (>=0.8.4,<0.9.0)", "panflute (>=1.12,<2.0)"]
-linkify = ["linkify-it-py (>=1.0,<2.0)"]
+testing = ["pytest-regressions", "pytest-cov", "pytest-benchmark (>=3.2,<4.0)", "pytest (>=3.6,<4)", "psutil", "coverage"]
+rtd = ["sphinx-book-theme", "sphinx-panels (>=0.4.0,<0.5.0)", "sphinx-copybutton", "sphinx (>=2,<4)", "pyyaml", "myst-nb (==0.13.0a1)"]
 plugins = ["mdit-py-plugins"]
-rtd = ["myst-nb (==0.13.0a1)", "pyyaml", "sphinx (>=2,<4)", "sphinx-book-theme", "sphinx-copybutton", "sphinx-panels (>=0.4.0,<0.5.0)"]
-testing = ["coverage", "psutil", "pytest (>=3.6,<4)", "pytest-benchmark (>=3.2,<4.0)", "pytest-cov", "pytest-regressions"]
+linkify = ["linkify-it-py (>=1.0,<2.0)"]
+compare = ["panflute (>=1.12,<2.0)", "mistune (>=0.8.4,<0.9.0)", "mistletoe-ebp (>=0.10.0,<0.11.0)", "markdown (>=3.2.2,<3.3.0)", "commonmark (>=0.9.1,<0.10.0)"]
+code_style = ["pre-commit (==2.6)"]
 
 [[package]]
 name = "markupsafe"
@@ -1025,7 +1026,7 @@ python-versions = ">=3.7"
 
 [[package]]
 name = "matplotlib"
-version = "3.6.1"
+version = "3.6.2"
 description = "Python plotting package"
 category = "main"
 optional = false
@@ -1074,9 +1075,9 @@ python-versions = "~=3.6"
 markdown-it-py = ">=1.0,<2.0"
 
 [package.extras]
-code-style = ["pre-commit (==2.6)"]
-rtd = ["myst-parser (==0.14.0a3)", "sphinx-book-theme (>=0.1.0,<0.2.0)"]
-testing = ["coverage", "pytest (>=3.6,<4)", "pytest-cov", "pytest-regressions"]
+testing = ["pytest-regressions", "pytest-cov", "pytest (>=3.6,<4)", "coverage"]
+rtd = ["sphinx-book-theme (>=0.1.0,<0.2.0)", "myst-parser (==0.14.0a3)"]
+code_style = ["pre-commit (==2.6)"]
 
 [[package]]
 name = "mistune"
@@ -1088,7 +1089,7 @@ python-versions = "*"
 
 [[package]]
 name = "mypy"
-version = "0.982"
+version = "0.990"
 description = "Optional static typing for Python"
 category = "dev"
 optional = false
@@ -1101,6 +1102,7 @@ typing-extensions = ">=3.10"
 
 [package.extras]
 dmypy = ["psutil (>=4.0)"]
+install-types = ["pip"]
 python2 = ["typed-ast (>=1.4.0,<2)"]
 reports = ["lxml"]
 
@@ -1135,7 +1137,7 @@ sphinx = ">=3.1,<5"
 sphinx-togglebutton = ">=0.3.0,<0.4.0"
 
 [package.extras]
-code-style = ["pre-commit (>=2.12,<3.0)"]
+code_style = ["pre-commit (>=2.12,<3.0)"]
 rtd = ["alabaster", "altair", "bokeh", "coconut (>=1.4.3,<1.5.0)", "ipykernel (>=5.5,<6.0)", "ipywidgets", "jupytext (>=1.11.2,<1.12.0)", "matplotlib", "numpy", "pandas", "plotly", "sphinx-book-theme (>=0.1.0,<0.2.0)", "sphinx-copybutton", "sphinx-panels (>=0.4.1,<0.5.0)", "sphinxcontrib-bibtex", "sympy"]
 testing = ["coverage (<5.0)", "ipykernel (>=5.5,<6.0)", "ipython (<8)", "jupytext (>=1.11.2,<1.12.0)", "matplotlib (>=3.3.0,<3.4.0)", "numpy", "pandas (<1.4)", "pytest (>=5.4,<6.0)", "pytest-cov (>=2.8,<3.0)", "pytest-regressions", "sympy"]
 
@@ -1156,14 +1158,14 @@ pyyaml = "*"
 sphinx = ">=3.1,<5"
 
 [package.extras]
-code-style = ["pre-commit (>=2.12,<3.0)"]
+code_style = ["pre-commit (>=2.12,<3.0)"]
 linkify = ["linkify-it-py (>=1.0,<2.0)"]
-rtd = ["ipython", "sphinx-book-theme (>=0.1.0,<0.2.0)", "sphinx-panels (>=0.5.2,<0.6.0)", "sphinxcontrib-bibtex (>=2.1,<3.0)", "sphinxcontrib.mermaid (>=0.6.3,<0.7.0)", "sphinxext-opengraph (>=0.4.2,<0.5.0)", "sphinxext-rediraffe (>=0.2,<1.0)"]
+rtd = ["ipython", "sphinx-book-theme (>=0.1.0,<0.2.0)", "sphinx-panels (>=0.5.2,<0.6.0)", "sphinxcontrib-bibtex (>=2.1,<3.0)", "sphinxext-rediraffe (>=0.2,<1.0)", "sphinxcontrib.mermaid (>=0.6.3,<0.7.0)", "sphinxext-opengraph (>=0.4.2,<0.5.0)"]
 testing = ["beautifulsoup4", "coverage", "docutils (>=0.17.0,<0.18.0)", "pytest (>=3.6,<4)", "pytest-cov", "pytest-regressions"]
 
 [[package]]
 name = "nbclassic"
-version = "0.4.7"
+version = "0.4.8"
 description = "A web-based notebook environment for interactive computing"
 category = "dev"
 optional = false
@@ -1189,9 +1191,9 @@ tornado = ">=6.1"
 traitlets = ">=4.2.1"
 
 [package.extras]
-docs = ["myst-parser", "nbsphinx", "sphinx", "sphinx-rtd-theme", "sphinxcontrib-github-alt"]
+docs = ["sphinx", "nbsphinx", "sphinxcontrib-github-alt", "sphinx-rtd-theme", "myst-parser"]
 json-logging = ["json-logging"]
-test = ["coverage", "nbval", "pytest", "pytest-cov", "pytest-tornasync", "requests", "requests-unixsocket", "selenium (==4.1.5)", "testpath"]
+test = ["pytest", "coverage", "requests", "testpath", "nbval", "pytest-playwright", "pytest-cov", "pytest-tornasync", "requests-unixsocket"]
 
 [[package]]
 name = "nbclient"
@@ -1208,8 +1210,8 @@ nest-asyncio = "*"
 traitlets = ">=5.0.0"
 
 [package.extras]
-sphinx = ["Sphinx (>=1.7)", "mock", "moto", "myst-parser", "sphinx-book-theme"]
-test = ["black", "check-manifest", "flake8", "ipykernel", "ipython (<8.0.0)", "ipywidgets (<8.0.0)", "mypy", "pip (>=18.1)", "pytest (>=4.1)", "pytest-asyncio", "pytest-cov (>=2.6.1)", "setuptools (>=38.6.0)", "twine (>=1.11.0)", "wheel (>=0.31.0)", "xmltodict"]
+sphinx = ["Sphinx (>=1.7)", "sphinx-book-theme", "mock", "moto", "myst-parser"]
+test = ["ipython (<8.0.0)", "ipykernel", "ipywidgets (<8.0.0)", "pytest (>=4.1)", "pytest-asyncio", "pytest-cov (>=2.6.1)", "check-manifest", "flake8", "mypy", "xmltodict", "black", "pip (>=18.1)", "wheel (>=0.31.0)", "setuptools (>=38.6.0)", "twine (>=1.11.0)"]
 
 [[package]]
 name = "nbconvert"
@@ -1239,10 +1241,10 @@ tinycss2 = "*"
 traitlets = ">=5.0"
 
 [package.extras]
-all = ["ipykernel", "ipython", "ipywidgets (>=7)", "nbsphinx (>=0.2.12)", "pre-commit", "pyppeteer (>=1,<1.1)", "pytest", "pytest-cov", "pytest-dependency", "sphinx (>=1.5.1)", "sphinx-rtd-theme", "tornado (>=6.1)"]
-docs = ["ipython", "nbsphinx (>=0.2.12)", "sphinx (>=1.5.1)", "sphinx-rtd-theme"]
+all = ["pytest", "pytest-cov", "pytest-dependency", "ipykernel", "ipywidgets (>=7)", "pre-commit", "pyppeteer (>=1,<1.1)", "tornado (>=6.1)", "sphinx (>=1.5.1)", "sphinx-rtd-theme", "nbsphinx (>=0.2.12)", "ipython"]
+docs = ["sphinx (>=1.5.1)", "sphinx-rtd-theme", "nbsphinx (>=0.2.12)", "ipython"]
 serve = ["tornado (>=6.1)"]
-test = ["ipykernel", "ipywidgets (>=7)", "pre-commit", "pyppeteer (>=1,<1.1)", "pytest", "pytest-cov", "pytest-dependency"]
+test = ["pytest", "pytest-cov", "pytest-dependency", "ipykernel", "ipywidgets (>=7)", "pre-commit", "pyppeteer (>=1,<1.1)"]
 webpdf = ["pyppeteer (>=1,<1.1)"]
 
 [[package]]
@@ -1265,8 +1267,8 @@ requests = "*"
 tornado = "*"
 
 [package.extras]
-docs = ["recommonmark", "sphinx", "sphinx-rtd-theme"]
-test = ["jsonschema", "jupyter-server[test]", "mock", "notebook", "pytest (>=3.6)", "pytest-cov", "pytest-timeout", "pytest-tornado", "requests", "tabulate"]
+docs = ["sphinx", "recommonmark", "sphinx-rtd-theme"]
+test = ["pytest (>=3.6)", "pytest-cov", "pytest-timeout", "pytest-tornado", "jupyter-server", "jsonschema", "mock", "notebook", "requests", "tabulate"]
 
 [[package]]
 name = "nbformat"
@@ -1302,15 +1304,15 @@ optional = false
 python-versions = ">=3.8"
 
 [package.extras]
-default = ["matplotlib (>=3.4)", "numpy (>=1.19)", "pandas (>=1.3)", "scipy (>=1.8)"]
-developer = ["mypy (>=0.960)", "pre-commit (>=2.19)"]
-doc = ["nb2plots (>=0.6)", "numpydoc (>=1.3)", "pillow (>=9.1)", "pydata-sphinx-theme (>=0.8.1)", "sphinx (>=4.5)", "sphinx-gallery (>=0.10)", "texext (>=0.6.6)"]
-extra = ["lxml (>=4.6)", "pydot (>=1.4.2)", "pygraphviz (>=1.9)", "sympy (>=1.10)"]
-test = ["codecov (>=2.1)", "pytest (>=7.1)", "pytest-cov (>=3.0)"]
+default = ["numpy (>=1.19)", "scipy (>=1.8)", "matplotlib (>=3.4)", "pandas (>=1.3)"]
+developer = ["pre-commit (>=2.19)", "mypy (>=0.960)"]
+doc = ["sphinx (>=4.5)", "pydata-sphinx-theme (>=0.8.1)", "sphinx-gallery (>=0.10)", "numpydoc (>=1.3)", "pillow (>=9.1)", "nb2plots (>=0.6)", "texext (>=0.6.6)"]
+extra = ["lxml (>=4.6)", "pygraphviz (>=1.9)", "pydot (>=1.4.2)", "sympy (>=1.10)"]
+test = ["pytest (>=7.1)", "pytest-cov (>=3.0)", "codecov (>=2.1)"]
 
 [[package]]
 name = "ninja"
-version = "1.10.2.4"
+version = "1.11.1"
 description = "Ninja is a small build system with a focus on speed"
 category = "dev"
 optional = false
@@ -1327,12 +1329,9 @@ category = "dev"
 optional = false
 python-versions = ">=2.7,!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*"
 
-[package.dependencies]
-setuptools = "*"
-
 [[package]]
 name = "notebook"
-version = "6.5.0"
+version = "6.5.2"
 description = "A web-based notebook environment for interactive computing"
 category = "dev"
 optional = false
@@ -1345,7 +1344,7 @@ ipython-genutils = "*"
 jinja2 = "*"
 jupyter-client = ">=5.3.4"
 jupyter-core = ">=4.6.1"
-nbclassic = ">=0.4.0"
+nbclassic = ">=0.4.7"
 nbconvert = ">=5"
 nbformat = "*"
 nest-asyncio = ">=1.5"
@@ -1357,13 +1356,13 @@ tornado = ">=6.1"
 traitlets = ">=4.2.1"
 
 [package.extras]
-docs = ["myst-parser", "nbsphinx", "sphinx", "sphinx-rtd-theme", "sphinxcontrib-github-alt"]
+docs = ["sphinx", "nbsphinx", "sphinxcontrib-github-alt", "sphinx-rtd-theme", "myst-parser"]
 json-logging = ["json-logging"]
-test = ["coverage", "nbval", "pytest", "pytest-cov", "requests", "requests-unixsocket", "selenium (==4.1.5)", "testpath"]
+test = ["pytest", "coverage", "requests", "testpath", "nbval", "selenium (==4.1.5)", "pytest-cov", "requests-unixsocket"]
 
 [[package]]
 name = "notebook-shim"
-version = "0.2.0"
+version = "0.2.2"
 description = "A shim layer for notebook traits and config"
 category = "dev"
 optional = false
@@ -1408,7 +1407,7 @@ python-dateutil = ">=2.8.1"
 pytz = ">=2020.1"
 
 [package.extras]
-test = ["hypothesis (>=5.5.3)", "pytest (>=6.0)", "pytest-xdist (>=1.31)"]
+test = ["pytest-xdist (>=1.31)", "pytest (>=6.0)", "hypothesis (>=5.5.3)"]
 
 [[package]]
 name = "pandas-stubs"
@@ -1470,7 +1469,7 @@ python-versions = "*"
 
 [[package]]
 name = "pillow"
-version = "9.2.0"
+version = "9.3.0"
 description = "Python Imaging Library (Fork)"
 category = "main"
 optional = false
@@ -1482,15 +1481,15 @@ tests = ["check-manifest", "coverage", "defusedxml", "markdown2", "olefile", "pa
 
 [[package]]
 name = "platformdirs"
-version = "2.5.2"
-description = "A small Python module for determining appropriate platform-specific dirs, e.g. a \"user data dir\"."
+version = "2.5.3"
+description = "A small Python package for determining appropriate platform-specific dirs, e.g. a \"user data dir\"."
 category = "dev"
 optional = false
 python-versions = ">=3.7"
 
 [package.extras]
-docs = ["furo (>=2021.7.5b38)", "proselint (>=0.10.2)", "sphinx (>=4)", "sphinx-autodoc-typehints (>=1.12)"]
-test = ["appdirs (==1.4.4)", "pytest (>=6)", "pytest-cov (>=2.7)", "pytest-mock (>=3.6)"]
+docs = ["furo (>=2022.9.29)", "proselint (>=0.13)", "sphinx-autodoc-typehints (>=1.19.4)", "sphinx (>=5.3)"]
+test = ["appdirs (==1.4.4)", "pytest-cov (>=4)", "pytest-mock (>=3.10)", "pytest (>=7.2)"]
 
 [[package]]
 name = "pluggy"
@@ -1533,7 +1532,7 @@ twisted = ["twisted"]
 
 [[package]]
 name = "prompt-toolkit"
-version = "3.0.31"
+version = "3.0.32"
 description = "Library for building powerful interactive command lines in Python"
 category = "dev"
 optional = false
@@ -1544,14 +1543,14 @@ wcwidth = "*"
 
 [[package]]
 name = "psutil"
-version = "5.9.3"
+version = "5.9.4"
 description = "Cross-platform lib for process and system monitoring in Python."
 category = "dev"
 optional = false
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
 
 [package.extras]
-test = ["enum34", "ipaddress", "mock", "pywin32", "wmi"]
+test = ["ipaddress", "mock", "enum34", "pywin32", "wmi"]
 
 [[package]]
 name = "ptyprocess"
@@ -1654,10 +1653,10 @@ packaging = "*"
 sphinx = ">=3.5.4,<5"
 
 [package.extras]
-coverage = ["codecov", "pydata-sphinx-theme[test]", "pytest-cov"]
-dev = ["nox", "pre-commit", "pydata-sphinx-theme[coverage]", "pyyaml"]
-doc = ["jupyter_sphinx", "myst-parser", "numpy", "numpydoc", "pandas", "plotly", "pytest", "pytest-regressions", "sphinx-sitemap", "sphinxext-rediraffe", "xarray"]
-test = ["pydata-sphinx-theme[doc]", "pytest"]
+dev = ["pydata-sphinx-theme", "nox", "pre-commit", "pyyaml"]
+coverage = ["pydata-sphinx-theme", "codecov", "pytest-cov"]
+test = ["pydata-sphinx-theme", "pytest"]
+doc = ["xarray", "numpy", "plotly", "jupyter-sphinx", "sphinx-sitemap", "sphinxext-rediraffe", "pytest-regressions", "pytest", "pandas", "myst-parser", "numpydoc"]
 
 [[package]]
 name = "pydot"
@@ -1698,11 +1697,11 @@ optional = false
 python-versions = ">=3.6.8"
 
 [package.extras]
-diagrams = ["jinja2", "railroad-diagrams"]
+diagrams = ["railroad-diagrams", "jinja2"]
 
 [[package]]
 name = "pyrsistent"
-version = "0.18.1"
+version = "0.19.2"
 description = "Persistent/Functional/Immutable data structures"
 category = "dev"
 optional = false
@@ -1741,7 +1740,7 @@ coverage = {version = ">=5.2.1", extras = ["toml"]}
 pytest = ">=4.6"
 
 [package.extras]
-testing = ["fields", "hunter", "process-tests", "pytest-xdist", "six", "virtualenv"]
+testing = ["fields", "hunter", "process-tests", "six", "pytest-xdist", "virtualenv"]
 
 [[package]]
 name = "python-dateutil"
@@ -1775,7 +1774,7 @@ typing-extensions = ">=4.3.0"
 
 [[package]]
 name = "pytz"
-version = "2022.5"
+version = "2022.6"
 description = "World timezone definitions, modern and historical"
 category = "main"
 optional = false
@@ -1783,7 +1782,7 @@ python-versions = "*"
 
 [[package]]
 name = "pywin32"
-version = "304"
+version = "305"
 description = "Python for Window Extensions"
 category = "dev"
 optional = false
@@ -1791,7 +1790,7 @@ python-versions = "*"
 
 [[package]]
 name = "pywinpty"
-version = "2.0.8"
+version = "2.0.9"
 description = "Pseudo terminal support for Windows from Python."
 category = "dev"
 optional = false
@@ -1833,7 +1832,7 @@ urllib3 = ">=1.21.1,<1.27"
 
 [package.extras]
 socks = ["PySocks (>=1.5.6,!=1.5.7)"]
-use-chardet-on-py3 = ["chardet (>=3.0.2,<6)"]
+use_chardet_on_py3 = ["chardet (>=3.0.2,<6)"]
 
 [[package]]
 name = "scikit-learn"
@@ -1850,10 +1849,10 @@ scipy = ">=1.3.2"
 threadpoolctl = ">=2.0.0"
 
 [package.extras]
-benchmark = ["matplotlib (>=3.1.2)", "memory-profiler (>=0.57.0)", "pandas (>=1.0.5)"]
-docs = ["Pillow (>=7.1.2)", "matplotlib (>=3.1.2)", "memory-profiler (>=0.57.0)", "numpydoc (>=1.2.0)", "pandas (>=1.0.5)", "scikit-image (>=0.16.2)", "seaborn (>=0.9.0)", "sphinx (>=4.0.1)", "sphinx-gallery (>=0.7.0)", "sphinx-prompt (>=1.3.0)", "sphinxext-opengraph (>=0.4.2)"]
-examples = ["matplotlib (>=3.1.2)", "pandas (>=1.0.5)", "scikit-image (>=0.16.2)", "seaborn (>=0.9.0)"]
-tests = ["black (>=22.3.0)", "flake8 (>=3.8.2)", "matplotlib (>=3.1.2)", "mypy (>=0.961)", "numpydoc (>=1.2.0)", "pandas (>=1.0.5)", "pyamg (>=4.0.0)", "pytest (>=5.0.1)", "pytest-cov (>=2.9.0)", "scikit-image (>=0.16.2)"]
+benchmark = ["matplotlib (>=3.1.2)", "pandas (>=1.0.5)", "memory-profiler (>=0.57.0)"]
+docs = ["matplotlib (>=3.1.2)", "scikit-image (>=0.16.2)", "pandas (>=1.0.5)", "seaborn (>=0.9.0)", "memory-profiler (>=0.57.0)", "sphinx (>=4.0.1)", "sphinx-gallery (>=0.7.0)", "numpydoc (>=1.2.0)", "Pillow (>=7.1.2)", "sphinx-prompt (>=1.3.0)", "sphinxext-opengraph (>=0.4.2)"]
+examples = ["matplotlib (>=3.1.2)", "scikit-image (>=0.16.2)", "pandas (>=1.0.5)", "seaborn (>=0.9.0)"]
+tests = ["matplotlib (>=3.1.2)", "scikit-image (>=0.16.2)", "pandas (>=1.0.5)", "pytest (>=5.0.1)", "pytest-cov (>=2.9.0)", "flake8 (>=3.8.2)", "black (>=22.3.0)", "mypy (>=0.961)", "pyamg (>=4.0.0)", "numpydoc (>=1.2.0)"]
 
 [[package]]
 name = "scipy"
@@ -1867,9 +1866,9 @@ python-versions = ">=3.8"
 numpy = ">=1.18.5,<1.26.0"
 
 [package.extras]
-dev = ["flake8", "mypy", "pycodestyle", "typing_extensions"]
-doc = ["matplotlib (>2)", "numpydoc", "pydata-sphinx-theme (==0.9.0)", "sphinx (!=4.1.0)", "sphinx-panels (>=0.5.2)", "sphinx-tabs"]
-test = ["asv", "gmpy2", "mpmath", "pytest", "pytest-cov", "pytest-xdist", "scikit-umfpack", "threadpoolctl"]
+test = ["pytest", "pytest-cov", "pytest-xdist", "asv", "mpmath", "gmpy2", "threadpoolctl", "scikit-umfpack"]
+doc = ["sphinx (!=4.1.0)", "pydata-sphinx-theme (==0.9.0)", "sphinx-panels (>=0.5.2)", "matplotlib (>2)", "numpydoc", "sphinx-tabs"]
+dev = ["mypy", "typing-extensions", "pycodestyle", "flake8"]
 
 [[package]]
 name = "send2trash"
@@ -1880,23 +1879,10 @@ optional = false
 python-versions = "*"
 
 [package.extras]
-nativelib = ["pyobjc-framework-Cocoa", "pywin32"]
-objc = ["pyobjc-framework-Cocoa"]
+nativelib = ["pyobjc-framework-cocoa", "pywin32"]
+objc = ["pyobjc-framework-cocoa"]
 win32 = ["pywin32"]
 
-[[package]]
-name = "setuptools"
-version = "65.5.0"
-description = "Easily download, build, install, upgrade, and uninstall Python packages"
-category = "main"
-optional = false
-python-versions = ">=3.7"
-
-[package.extras]
-docs = ["furo", "jaraco.packaging (>=9)", "jaraco.tidelift (>=1.4)", "pygments-github-lexers (==0.0.5)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-favicon", "sphinx-hoverxref (<2)", "sphinx-inline-tabs", "sphinx-notfound-page (==0.8.3)", "sphinx-reredirects", "sphinxcontrib-towncrier"]
-testing = ["build[virtualenv]", "filelock (>=3.4.0)", "flake8 (<5)", "flake8-2020", "ini2toml[lite] (>=0.9)", "jaraco.envs (>=2.2)", "jaraco.path (>=3.2.0)", "mock", "pip (>=19.1)", "pip-run (>=8.8)", "pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=1.3)", "pytest-flake8", "pytest-mypy (>=0.9.1)", "pytest-perf", "pytest-xdist", "tomli-w (>=1.0.0)", "virtualenv (>=13.0.0)", "wheel"]
-testing-integration = ["build[virtualenv]", "filelock (>=3.4.0)", "jaraco.envs (>=2.2)", "jaraco.path (>=3.2.0)", "pytest", "pytest-enabler", "pytest-xdist", "tomli", "virtualenv (>=13.0.0)", "wheel"]
-
 [[package]]
 name = "setuptools-scm"
 version = "7.0.5"
@@ -1907,7 +1893,6 @@ python-versions = ">=3.7"
 
 [package.dependencies]
 packaging = ">=20.0"
-setuptools = "*"
 tomli = ">=1.0.0"
 typing-extensions = "*"
 
@@ -1983,8 +1968,8 @@ sphinxcontrib-serializinghtml = ">=1.1.5"
 
 [package.extras]
 docs = ["sphinxcontrib-websupport"]
-lint = ["docutils-stubs", "flake8 (>=3.5.0)", "isort", "mypy (>=0.931)", "types-requests", "types-typed-ast"]
-test = ["cython", "html5lib", "pytest", "pytest-cov", "typed-ast"]
+lint = ["flake8 (>=3.5.0)", "isort", "mypy (>=0.931)", "docutils-stubs", "types-typed-ast", "types-requests"]
+test = ["pytest", "pytest-cov", "html5lib", "cython", "typed-ast"]
 
 [[package]]
 name = "sphinx-autodoc-typehints"
@@ -1999,7 +1984,7 @@ Sphinx = ">=4.5"
 
 [package.extras]
 testing = ["covdefaults (>=2.2)", "coverage (>=6.3)", "diff-cover (>=6.4)", "nptyping (>=2.1.2)", "pytest (>=7.1)", "pytest-cov (>=3)", "sphobjinv (>=2)", "typing-extensions (>=4.1)"]
-type-comments = ["typed-ast (>=1.5.2)"]
+type_comments = ["typed-ast (>=1.5.2)"]
 
 [[package]]
 name = "sphinx-book-theme"
@@ -2015,9 +2000,9 @@ pyyaml = "*"
 sphinx = ">=3,<5"
 
 [package.extras]
-code-style = ["pre-commit (>=2.7.0,<2.8.0)"]
-doc = ["ablog (>=0.10.13,<0.11.0)", "folium", "ipywidgets", "matplotlib", "myst-nb (>=0.13.2,<0.14.0)", "nbclient", "numpy", "numpydoc", "pandas", "plotly", "sphinx (>=4.0,<5.0)", "sphinx-copybutton", "sphinx-design", "sphinx-examples", "sphinx-tabs", "sphinx-thebe (>=0.1.1)", "sphinx-togglebutton (>=0.2.1)", "sphinxcontrib-bibtex (>=2.2,<3.0)", "sphinxcontrib-youtube", "sphinxext-opengraph"]
-test = ["beautifulsoup4 (>=4.6.1,<5)", "coverage", "myst-nb (>=0.13.2,<0.14.0)", "pytest (>=6.0.1,<6.1.0)", "pytest-cov", "pytest-regressions (>=2.0.1,<2.1.0)", "sphinx_thebe"]
+test = ["sphinx-thebe", "pytest-regressions (>=2.0.1,<2.1.0)", "pytest-cov", "pytest (>=6.0.1,<6.1.0)", "myst-nb (>=0.13.2,<0.14.0)", "coverage", "beautifulsoup4 (>=4.6.1,<5)"]
+doc = ["sphinxext-opengraph", "sphinxcontrib-youtube", "sphinxcontrib-bibtex (>=2.2,<3.0)", "sphinx-thebe (>=0.1.1)", "sphinx-togglebutton (>=0.2.1)", "sphinx-tabs", "sphinx-copybutton", "sphinx-examples", "sphinx-design", "sphinx (>=4.0,<5.0)", "plotly", "pandas", "nbclient", "myst-nb (>=0.13.2,<0.14.0)", "numpydoc", "matplotlib", "numpy", "folium", "ipywidgets", "ablog (>=0.10.13,<0.11.0)"]
+code_style = ["pre-commit (>=2.7.0,<2.8.0)"]
 
 [[package]]
 name = "sphinx-comments"
@@ -2031,9 +2016,9 @@ python-versions = "*"
 sphinx = ">=1.8"
 
 [package.extras]
-code-style = ["black", "flake8 (>=3.7.0,<3.8.0)", "pre-commit (==1.17.0)"]
-sphinx = ["myst-parser", "sphinx (>=2)", "sphinx-book-theme"]
-testing = ["beautifulsoup4", "myst-parser", "pytest", "pytest-regressions", "sphinx (>=2)", "sphinx-book-theme"]
+testing = ["sphinx-book-theme", "sphinx (>=2)", "pytest-regressions", "pytest", "myst-parser", "beautifulsoup4"]
+sphinx = ["myst-parser", "sphinx-book-theme", "sphinx (>=2)"]
+code_style = ["pre-commit (==1.17.0)", "black", "flake8 (>=3.7.0,<3.8.0)"]
 
 [[package]]
 name = "sphinx-copybutton"
@@ -2047,8 +2032,8 @@ python-versions = ">=3.6"
 sphinx = ">=1.8"
 
 [package.extras]
-code-style = ["pre-commit (==2.12.1)"]
-rtd = ["ipython", "myst-nb", "sphinx", "sphinx-book-theme"]
+rtd = ["sphinx-book-theme", "myst-nb", "ipython", "sphinx"]
+code_style = ["pre-commit (==2.12.1)"]
 
 [[package]]
 name = "sphinx-design"
@@ -2062,13 +2047,13 @@ python-versions = ">=3.7"
 sphinx = ">=3,<5"
 
 [package.extras]
-code-style = ["pre-commit (>=2.12,<3.0)"]
+theme_sbt = ["sphinx-book-theme (>=0.3.0,<0.4.0)"]
+theme_rtd = ["sphinx-rtd-theme (>=1.0,<2.0)"]
+theme_pydata = ["pydata-sphinx-theme (>=0.8.1,<0.9.0)"]
+theme_furo = ["furo (==2022.04.07)"]
+testing = ["pytest-regressions", "pytest-cov", "pytest (>=6.2,<7.0)", "myst-parser (>=0.17.0,<0.18.0)"]
 rtd = ["myst-parser (>=0.17.0,<0.18.0)"]
-testing = ["myst-parser (>=0.17.0,<0.18.0)", "pytest (>=6.2,<7.0)", "pytest-cov", "pytest-regressions"]
-theme-furo = ["furo (==2022.04.07)"]
-theme-pydata = ["pydata-sphinx-theme (>=0.8.1,<0.9.0)"]
-theme-rtd = ["sphinx-rtd-theme (>=1.0,<2.0)"]
-theme-sbt = ["sphinx-book-theme (>=0.3.0,<0.4.0)"]
+code_style = ["pre-commit (>=2.12,<3.0)"]
 
 [[package]]
 name = "sphinx-external-toc"
@@ -2085,9 +2070,9 @@ pyyaml = "*"
 sphinx = ">=3,<5"
 
 [package.extras]
-code-style = ["pre-commit (>=2.12,<3.0)"]
-rtd = ["myst-parser (>=0.15.0,<0.16.0)", "sphinx-book-theme (>=0.0.36)"]
-testing = ["coverage", "pytest (>=3.6,<4)", "pytest-cov", "pytest-regressions"]
+testing = ["pytest-regressions", "pytest-cov", "pytest (>=3.6,<4)", "coverage"]
+rtd = ["sphinx-book-theme (>=0.0.36)", "myst-parser (>=0.15.0,<0.16.0)"]
+code_style = ["pre-commit (>=2.12,<3.0)"]
 
 [[package]]
 name = "sphinx-jupyterbook-latex"
@@ -2101,7 +2086,7 @@ python-versions = ">=3.6"
 sphinx = ">=3,<5"
 
 [package.extras]
-code-style = ["pre-commit (>=2.12,<3.0)"]
+code_style = ["pre-commit (>=2.12,<3.0)"]
 myst = ["myst-nb (>=0.13,<0.14)"]
 rtd = ["myst-parser", "sphinx-book-theme", "sphinx-design", "sphinx-jupyterbook-latex"]
 testing = ["coverage (<5.0)", "myst-nb (>=0.13,<0.14)", "pytest (>=3.6,<4)", "pytest-cov (>=2.8,<3.0)", "pytest-regressions", "sphinx-external-toc (>=0.1.0,<0.3.0)", "sphinxcontrib-bibtex (>=2.2.1,<2.3.0)", "texsoup"]
@@ -2118,9 +2103,9 @@ python-versions = "*"
 sphinx = ">=3"
 
 [package.extras]
-code-style = ["black", "flake8 (>=3.7.0,<3.8.0)", "pre-commit (==1.17.0)"]
-rtd = ["myst-parser", "sphinx (>=3.0)", "sphinx-book-theme"]
-testing = ["coverage (<5.0)", "jupyter-book", "pytest (>=5.4,<6.0)", "pytest-cov (>=2.8,<3.0)", "pytest-regressions"]
+testing = ["jupyter-book", "pytest-regressions", "coverage (<5.0)", "pytest-cov (>=2.8,<3.0)", "pytest (>=5.4,<6.0)"]
+rtd = ["myst-parser", "sphinx-book-theme", "sphinx (>=3.0)"]
+code_style = ["pre-commit (==1.17.0)", "black", "flake8 (>=3.7.0,<3.8.0)"]
 
 [[package]]
 name = "sphinx-thebe"
@@ -2134,8 +2119,8 @@ python-versions = "*"
 sphinx = ">=3.5,<5"
 
 [package.extras]
-sphinx = ["matplotlib", "myst-nb", "sphinx-book-theme", "sphinx-copybutton", "sphinx-panels"]
-testing = ["beautifulsoup4", "matplotlib", "pytest", "pytest-regressions"]
+testing = ["beautifulsoup4", "pytest-regressions", "pytest", "matplotlib"]
+sphinx = ["sphinx-panels", "sphinx-copybutton", "sphinx-book-theme", "myst-nb", "matplotlib"]
 
 [[package]]
 name = "sphinx-togglebutton"
@@ -2147,12 +2132,10 @@ python-versions = "*"
 
 [package.dependencies]
 docutils = "*"
-setuptools = "*"
 sphinx = "*"
-wheel = "*"
 
 [package.extras]
-sphinx = ["matplotlib", "myst-nb", "numpy", "sphinx-book-theme", "sphinx-design", "sphinx-examples"]
+sphinx = ["sphinx-examples", "sphinx-design", "sphinx-book-theme", "myst-nb", "numpy", "matplotlib"]
 
 [[package]]
 name = "sphinxcontrib-applehelp"
@@ -2163,8 +2146,8 @@ optional = false
 python-versions = ">=3.5"
 
 [package.extras]
-lint = ["docutils-stubs", "flake8", "mypy"]
 test = ["pytest"]
+lint = ["docutils-stubs", "mypy", "flake8"]
 
 [[package]]
 name = "sphinxcontrib-bibtex"
@@ -2189,8 +2172,8 @@ optional = false
 python-versions = ">=3.5"
 
 [package.extras]
-lint = ["docutils-stubs", "flake8", "mypy"]
 test = ["pytest"]
+lint = ["docutils-stubs", "mypy", "flake8"]
 
 [[package]]
 name = "sphinxcontrib-htmlhelp"
@@ -2201,8 +2184,8 @@ optional = false
 python-versions = ">=3.6"
 
 [package.extras]
-lint = ["docutils-stubs", "flake8", "mypy"]
 test = ["html5lib", "pytest"]
+lint = ["docutils-stubs", "mypy", "flake8"]
 
 [[package]]
 name = "sphinxcontrib-jsmath"
@@ -2213,7 +2196,7 @@ optional = false
 python-versions = ">=3.5"
 
 [package.extras]
-test = ["flake8", "mypy", "pytest"]
+test = ["mypy", "flake8", "pytest"]
 
 [[package]]
 name = "sphinxcontrib-qthelp"
@@ -2224,8 +2207,8 @@ optional = false
 python-versions = ">=3.5"
 
 [package.extras]
-lint = ["docutils-stubs", "flake8", "mypy"]
 test = ["pytest"]
+lint = ["docutils-stubs", "mypy", "flake8"]
 
 [[package]]
 name = "sphinxcontrib-serializinghtml"
@@ -2236,12 +2219,12 @@ optional = false
 python-versions = ">=3.5"
 
 [package.extras]
-lint = ["docutils-stubs", "flake8", "mypy"]
 test = ["pytest"]
+lint = ["docutils-stubs", "mypy", "flake8"]
 
 [[package]]
 name = "sqlalchemy"
-version = "1.4.42"
+version = "1.4.43"
 description = "Database Abstraction Library"
 category = "dev"
 optional = false
@@ -2251,41 +2234,41 @@ python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,>=2.7"
 greenlet = {version = "!=0.4.17", markers = "python_version >= \"3\" and (platform_machine == \"aarch64\" or platform_machine == \"ppc64le\" or platform_machine == \"x86_64\" or platform_machine == \"amd64\" or platform_machine == \"AMD64\" or platform_machine == \"win32\" or platform_machine == \"WIN32\")"}
 
 [package.extras]
-aiomysql = ["aiomysql", "greenlet (!=0.4.17)"]
-aiosqlite = ["aiosqlite", "greenlet (!=0.4.17)", "typing_extensions (!=3.10.0.1)"]
+aiomysql = ["greenlet (!=0.4.17)", "aiomysql"]
+aiosqlite = ["typing_extensions (!=3.10.0.1)", "greenlet (!=0.4.17)", "aiosqlite"]
 asyncio = ["greenlet (!=0.4.17)"]
-asyncmy = ["asyncmy (>=0.2.3,!=0.2.4)", "greenlet (!=0.4.17)"]
-mariadb-connector = ["mariadb (>=1.0.1,!=1.1.2)"]
+asyncmy = ["greenlet (!=0.4.17)", "asyncmy (>=0.2.3,!=0.2.4)"]
+mariadb_connector = ["mariadb (>=1.0.1,!=1.1.2)"]
 mssql = ["pyodbc"]
-mssql-pymssql = ["pymssql"]
-mssql-pyodbc = ["pyodbc"]
-mypy = ["mypy (>=0.910)", "sqlalchemy2-stubs"]
-mysql = ["mysqlclient (>=1.4.0)", "mysqlclient (>=1.4.0,<2)"]
-mysql-connector = ["mysql-connector-python"]
-oracle = ["cx_oracle (>=7)", "cx_oracle (>=7,<8)"]
+mssql_pymssql = ["pymssql"]
+mssql_pyodbc = ["pyodbc"]
+mypy = ["sqlalchemy2-stubs", "mypy (>=0.910)"]
+mysql = ["mysqlclient (>=1.4.0,<2)", "mysqlclient (>=1.4.0)"]
+mysql_connector = ["mysql-connector-python"]
+oracle = ["cx_oracle (>=7,<8)", "cx_oracle (>=7)"]
 postgresql = ["psycopg2 (>=2.7)"]
-postgresql-asyncpg = ["asyncpg", "greenlet (!=0.4.17)"]
-postgresql-pg8000 = ["pg8000 (>=1.16.6,!=1.29.0)"]
-postgresql-psycopg2binary = ["psycopg2-binary"]
-postgresql-psycopg2cffi = ["psycopg2cffi"]
-pymysql = ["pymysql", "pymysql (<1)"]
-sqlcipher = ["sqlcipher3_binary"]
+postgresql_asyncpg = ["greenlet (!=0.4.17)", "asyncpg"]
+postgresql_pg8000 = ["pg8000 (>=1.16.6,!=1.29.0)"]
+postgresql_psycopg2binary = ["psycopg2-binary"]
+postgresql_psycopg2cffi = ["psycopg2cffi"]
+pymysql = ["pymysql (<1)", "pymysql"]
+sqlcipher = ["sqlcipher3-binary"]
 
 [[package]]
 name = "stack-data"
-version = "0.5.1"
+version = "0.6.0"
 description = "Extract data from python stack frames and tracebacks for informative displays"
 category = "dev"
 optional = false
 python-versions = "*"
 
 [package.dependencies]
-asttokens = "*"
-executing = "*"
+asttokens = ">=2.1.0"
+executing = ">=1.2.0"
 pure-eval = "*"
 
 [package.extras]
-tests = ["cython", "littleutils", "pygments", "pytest", "typeguard"]
+tests = ["pytest", "typeguard", "pygments", "littleutils", "cython"]
 
 [[package]]
 name = "starlette"
@@ -2314,7 +2297,7 @@ widechars = ["wcwidth"]
 
 [[package]]
 name = "terminado"
-version = "0.16.0"
+version = "0.17.0"
 description = "Tornado websocket backend for the Xterm.js Javascript terminal emulator library."
 category = "dev"
 optional = false
@@ -2326,7 +2309,8 @@ pywinpty = {version = ">=1.1.0", markers = "os_name == \"nt\""}
 tornado = ">=6.1.0"
 
 [package.extras]
-test = ["pre-commit", "pytest (>=6.0)", "pytest-timeout"]
+docs = ["pydata-sphinx-theme", "sphinx"]
+test = ["pre-commit", "pytest-timeout", "pytest (>=7.0)"]
 
 [[package]]
 name = "threadpoolctl"
@@ -2348,8 +2332,8 @@ python-versions = ">=3.7"
 webencodings = ">=0.4"
 
 [package.extras]
-doc = ["sphinx", "sphinx_rtd_theme"]
 test = ["flake8", "isort", "pytest"]
+doc = ["sphinx-rtd-theme", "sphinx"]
 
 [[package]]
 name = "tokenize-rt"
@@ -2413,7 +2397,7 @@ python-versions = "*"
 
 [[package]]
 name = "types-pytz"
-version = "2022.5.0.0"
+version = "2022.6.0.1"
 description = "Typing stubs for pytz"
 category = "dev"
 optional = false
@@ -2448,7 +2432,7 @@ optional = false
 python-versions = ">=3.6"
 
 [package.extras]
-test = ["coverage", "pytest", "pytest-cov"]
+test = ["pytest-cov", "pytest", "coverage"]
 
 [[package]]
 name = "urllib3"
@@ -2459,8 +2443,8 @@ optional = false
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*, !=3.5.*, <4"
 
 [package.extras]
-brotli = ["brotli (>=1.0.9)", "brotlicffi (>=0.8.0)", "brotlipy (>=0.6.0)"]
-secure = ["certifi", "cryptography (>=1.3.4)", "idna (>=2.0.0)", "ipaddress", "pyOpenSSL (>=0.14)", "urllib3-secure-extra"]
+brotli = ["brotlicffi (>=0.8.0)", "brotli (>=1.0.9)", "brotlipy (>=0.6.0)"]
+secure = ["pyOpenSSL (>=0.14)", "cryptography (>=1.3.4)", "idna (>=2.0.0)", "certifi", "urllib3-secure-extra", "ipaddress"]
 socks = ["PySocks (>=1.5.6,!=1.5.7,<2.0)"]
 
 [[package]]
@@ -2491,19 +2475,19 @@ pandas = "*"
 
 [[package]]
 name = "virtualenv"
-version = "20.16.5"
+version = "20.16.6"
 description = "Virtual Python Environment builder"
 category = "dev"
 optional = false
 python-versions = ">=3.6"
 
 [package.dependencies]
-distlib = ">=0.3.5,<1"
+distlib = ">=0.3.6,<1"
 filelock = ">=3.4.1,<4"
 platformdirs = ">=2.4,<3"
 
 [package.extras]
-docs = ["proselint (>=0.13)", "sphinx (>=5.1.1)", "sphinx-argparse (>=0.3.1)", "sphinx-rtd-theme (>=1)", "towncrier (>=21.9)"]
+docs = ["proselint (>=0.13)", "sphinx (>=5.3)", "sphinx-argparse (>=0.3.2)", "sphinx-rtd-theme (>=1)", "towncrier (>=22.8)"]
 testing = ["coverage (>=6.2)", "coverage-enable-subprocess (>=1)", "flaky (>=3.7)", "packaging (>=21.3)", "pytest (>=7.0.1)", "pytest-env (>=0.6.2)", "pytest-freezegun (>=0.4.2)", "pytest-mock (>=3.6.1)", "pytest-randomly (>=3.10.3)", "pytest-timeout (>=2.1)"]
 
 [[package]]
@@ -2524,7 +2508,7 @@ python-versions = "*"
 
 [[package]]
 name = "websocket-client"
-version = "1.4.1"
+version = "1.4.2"
 description = "WebSocket client for Python with low level API options"
 category = "dev"
 optional = false
@@ -2535,17 +2519,6 @@ docs = ["Sphinx (>=3.4)", "sphinx-rtd-theme (>=0.5)"]
 optional = ["python-socks", "wsaccel"]
 test = ["websockets"]
 
-[[package]]
-name = "wheel"
-version = "0.37.1"
-description = "A built-package format for Python"
-category = "dev"
-optional = false
-python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,>=2.7"
-
-[package.extras]
-test = ["pytest (>=3.0.0)", "pytest-cov"]
-
 [[package]]
 name = "widgetsnbextension"
 version = "3.6.1"
@@ -2559,1401 +2532,190 @@ notebook = ">=4.4.1"
 
 [[package]]
 name = "zipp"
-version = "3.9.0"
+version = "3.10.0"
 description = "Backport of pathlib-compatible object wrapper for zip files"
 category = "dev"
 optional = false
 python-versions = ">=3.7"
 
 [package.extras]
-docs = ["furo", "jaraco.packaging (>=9)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)"]
-testing = ["flake8 (<5)", "func-timeout", "jaraco.functools", "jaraco.itertools", "more-itertools", "pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=1.3)", "pytest-flake8", "pytest-mypy (>=0.9.1)"]
+docs = ["sphinx (>=3.5)", "jaraco.packaging (>=9)", "rst.linker (>=1.9)", "furo", "jaraco.tidelift (>=1.4)"]
+testing = ["pytest (>=6)", "pytest-checkdocs (>=2.4)", "pytest-flake8", "flake8 (<5)", "pytest-cov", "pytest-enabler (>=1.3)", "jaraco.itertools", "func-timeout", "jaraco.functools", "more-itertools", "pytest-black (>=0.3.7)", "pytest-mypy (>=0.9.1)"]
 
 [metadata]
 lock-version = "1.1"
 python-versions = ">=3.10.0,<3.11"
-content-hash = "48f384ffa4501414b93f568a427830002a73fef6fed3ffe7c5cfdec0ad64c505"
+content-hash = "e10d169e08d420c3f4637683ad098e6e8f289ab4ec90f14e42dcde9bfe38ed84"
 
 [metadata.files]
-alabaster = [
-    {file = "alabaster-0.7.12-py2.py3-none-any.whl", hash = "sha256:446438bdcca0e05bd45ea2de1668c1d9b032e1a9154c2c259092d77031ddd359"},
-    {file = "alabaster-0.7.12.tar.gz", hash = "sha256:a661d72d58e6ea8a57f7a86e37d86716863ee5e92788398526d58b26a4e4dc02"},
-]
-altair = [
-    {file = "altair-4.2.0-py3-none-any.whl", hash = "sha256:0c724848ae53410c13fa28be2b3b9a9dcb7b5caa1a70f7f217bd663bb419935a"},
-    {file = "altair-4.2.0.tar.gz", hash = "sha256:d87d9372e63b48cd96b2a6415f0cf9457f50162ab79dc7a31cd7e024dd840026"},
-]
-anyio = [
-    {file = "anyio-3.6.2-py3-none-any.whl", hash = "sha256:fbbe32bd270d2a2ef3ed1c5d45041250284e31fc0a4df4a5a6071842051a51e3"},
-    {file = "anyio-3.6.2.tar.gz", hash = "sha256:25ea0d673ae30af41a0c442f81cf3b38c7e79fdc7b60335a4c14e05eb0947421"},
-]
-appnope = [
-    {file = "appnope-0.1.3-py2.py3-none-any.whl", hash = "sha256:265a455292d0bd8a72453494fa24df5a11eb18373a60c7c0430889f22548605e"},
-    {file = "appnope-0.1.3.tar.gz", hash = "sha256:02bd91c4de869fbb1e1c50aafc4098827a7a54ab2f39d9dcba6c9547ed920e24"},
-]
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+toolz = []
+tornado = []
+traitlets = []
+types-pkg-resources = []
+types-pytz = []
+typing-extensions = []
+typing-inspect = []
+uc-micro-py = []
+urllib3 = []
+uvicorn = []
+vega-datasets = []
+virtualenv = []
 wcwidth = [
     {file = "wcwidth-0.2.5-py2.py3-none-any.whl", hash = "sha256:beb4802a9cebb9144e99086eff703a642a13d6a0052920003a230f3294bbe784"},
     {file = "wcwidth-0.2.5.tar.gz", hash = "sha256:c4d647b99872929fdb7bdcaa4fbe7f01413ed3d98077df798530e5b04f116c83"},
 ]
-webencodings = [
-    {file = "webencodings-0.5.1-py2.py3-none-any.whl", hash = "sha256:a0af1213f3c2226497a97e2b3aa01a7e4bee4f403f95be16fc9acd2947514a78"},
-    {file = "webencodings-0.5.1.tar.gz", hash = "sha256:b36a1c245f2d304965eb4e0a82848379241dc04b865afcc4aab16748587e1923"},
-]
-websocket-client = [
-    {file = "websocket-client-1.4.1.tar.gz", hash = "sha256:f9611eb65c8241a67fb373bef040b3cf8ad377a9f6546a12b620b6511e8ea9ef"},
-    {file = "websocket_client-1.4.1-py3-none-any.whl", hash = "sha256:398909eb7e261f44b8f4bd474785b6ec5f5b499d4953342fe9755e01ef624090"},
-]
-wheel = [
-    {file = "wheel-0.37.1-py2.py3-none-any.whl", hash = "sha256:4bdcd7d840138086126cd09254dc6195fb4fc6f01c050a1d7236f2630db1d22a"},
-    {file = "wheel-0.37.1.tar.gz", hash = "sha256:e9a504e793efbca1b8e0e9cb979a249cf4a0a7b5b8c9e8b65a5e39d49529c1c4"},
-]
-widgetsnbextension = [
-    {file = "widgetsnbextension-3.6.1-py2.py3-none-any.whl", hash = "sha256:954e0faefdd414e4e013f17dbc7fd86f24cf1d243a3ac85d5f0fc2c2d2b50c66"},
-    {file = "widgetsnbextension-3.6.1.tar.gz", hash = "sha256:9c84ae64c2893c7cbe2eaafc7505221a795c27d68938454034ac487319a75b10"},
-]
-zipp = [
-    {file = "zipp-3.9.0-py3-none-any.whl", hash = "sha256:972cfa31bc2fedd3fa838a51e9bc7e64b7fb725a8c00e7431554311f180e9980"},
-    {file = "zipp-3.9.0.tar.gz", hash = "sha256:3a7af91c3db40ec72dd9d154ae18e008c69efe8ca88dde4f9a731bb82fe2f9eb"},
-]
+webencodings = []
+websocket-client = []
+widgetsnbextension = []
+zipp = []
diff --git a/pyproject.toml b/pyproject.toml
index d110b140..fdfd3579 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -45,7 +45,7 @@ ipywidgets = "^7.7.2"
 isort = "^5.10.1"
 jupyter-book = "^0.13.1"
 jupyterlab = "^3.5.0"
-mypy = "^0.982"
+mypy = "^0.990"
 pandas-stubs = "^1.5.1"
 pre-commit = "^2.20.0"
 pytest = "^7.2.0"

From 182c8d15472d19ace3a71226d3beb0480c786174 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?P=C3=A9ter=20Ferenc=20Gyarmati?= <dev.petergy@gmail.com>
Date: Thu, 10 Nov 2022 18:03:47 +0100
Subject: [PATCH 08/45] refactor: satisfy type analyzers

---
 draco/renderer/altair_renderer.py | 74 ++++++++++++++++++-------------
 draco/types.py                    | 33 ++++++++------
 2 files changed, 63 insertions(+), 44 deletions(-)

diff --git a/draco/renderer/altair_renderer.py b/draco/renderer/altair_renderer.py
index e97f686c..ab972f20 100644
--- a/draco/renderer/altair_renderer.py
+++ b/draco/renderer/altair_renderer.py
@@ -1,5 +1,5 @@
 from dataclasses import dataclass
-from typing import TypeVar
+from typing import Generic, TypeVar
 
 import altair as alt
 from pandas import DataFrame
@@ -10,69 +10,83 @@
     Field,
     FieldName,
     Mark,
+    Scale,
     SpecificationDict,
     View,
 )
 from .base_renderer import BaseRenderer
 
-VegaLiteChart = TypeVar("VegaLiteChart", alt.VConcatChart, alt.HConcatChart, alt.Chart)
+VegaLiteChart = TypeVar(
+    "VegaLiteChart", alt.VConcatChart, alt.HConcatChart, alt.FacetChart, alt.Chart
+)
 
 
 @dataclass(frozen=True)
-class VisitorContext:
+class RootContext(Generic[VegaLiteChart]):
     spec: SpecificationDict
-    product: VegaLiteChart
-    views: list[View] | None = None
-    view: View | None = None
-    mark: Mark | None = None
-    encoding: Encoding | None = None
+    chart: VegaLiteChart
+    chart_views: list[VegaLiteChart]
+
+
+@dataclass(frozen=True)
+class ViewContext(RootContext):
+    view: View
+
+
+@dataclass(frozen=True)
+class MarkContext(ViewContext):
+    mark: Mark
+
+
+@dataclass(frozen=True)
+class EncodingContext(MarkContext):
+    encoding: Encoding
 
 
 class AltairRenderer(BaseRenderer[VegaLiteChart]):
     def build(self, spec: SpecificationDict, data: DataFrame) -> VegaLiteChart:
         chart = alt.Chart(data)
-        views = []
+        chart_views: list[VegaLiteChart] = []
         for v in spec.view:
             for m in v.mark:
                 chart = self.__visit_mark(
-                    ctx=VisitorContext(
-                        spec=spec, product=chart, views=views, view=v, mark=m
+                    ctx=MarkContext(
+                        spec=spec, chart=chart, chart_views=chart_views, view=v, mark=m
                     )
                 )
                 for e in m.encoding:
                     chart = self.__visit_encoding(
-                        ctx=VisitorContext(
+                        ctx=EncodingContext(
                             spec=spec,
-                            product=chart,
-                            views=views,
+                            chart=chart,
+                            chart_views=chart_views,
                             view=v,
                             mark=m,
                             encoding=e,
                         )
                     )
             chart = self.__visit_view(
-                ctx=VisitorContext(spec=spec, product=chart, views=views, view=v)
+                ctx=ViewContext(spec=spec, chart=chart, chart_views=chart_views, view=v)
             )
-            views.append(chart)
+            chart_views.append(chart)
         return self.__visit_root(
-            ctx=VisitorContext(spec=spec, product=chart, views=views)
+            ctx=RootContext(spec=spec, chart=chart, chart_views=chart_views)
         )
 
     def display(self, product: VegaLiteChart) -> None:
         pass
 
-    def __visit_root(self, ctx: VisitorContext) -> VegaLiteChart:
-        views = ctx.views
+    def __visit_root(self, ctx: RootContext) -> VegaLiteChart:
+        views = ctx.chart_views
         chart = len(views) > 1 and alt.vconcat(*views) or views[0]
-        has_shared_scale = ctx.spec.scale is not None
-        if has_shared_scale:
+        if ctx.spec.scale is not None:
             channels = [s.channel for s in ctx.spec.scale]
             resolve_scale_args = {c: "shared" for c in channels}
             chart = chart.resolve_scale(**resolve_scale_args)
         return chart
 
-    def __visit_view(self, ctx: VisitorContext) -> VegaLiteChart:
-        view, chart = (ctx.view, ctx.product)
+    def __visit_view(self, ctx: ViewContext) -> VegaLiteChart:
+        view, chart = (ctx.view, ctx.chart)
         if view.facet is not None:
             for f in view.facet:
                 channel = f.channel
@@ -91,8 +105,8 @@ def __visit_view(self, ctx: VisitorContext) -> VegaLiteChart:
                         raise ValueError(f"Unknown facet channel: {channel}")
         return chart
 
-    def __visit_mark(self, ctx: VisitorContext) -> VegaLiteChart:
-        chart, mark_type = (ctx.product, ctx.mark.type)
+    def __visit_mark(self, ctx: MarkContext) -> VegaLiteChart:
+        chart, mark_type = (ctx.chart, ctx.mark.type)
         match mark_type:
             case "point":
                 return chart.mark_point()
@@ -111,8 +125,8 @@ def __visit_mark(self, ctx: VisitorContext) -> VegaLiteChart:
             case _:
                 raise ValueError(f"Unknown mark type: {mark_type}")
 
-    def __visit_encoding(self, ctx: VisitorContext) -> VegaLiteChart:
-        spec, chart, view, encoding = (ctx.spec, ctx.product, ctx.view, ctx.encoding)
+    def __visit_encoding(self, ctx: EncodingContext) -> VegaLiteChart:
+        spec, chart, view, encoding = (ctx.spec, ctx.chart, ctx.view, ctx.encoding)
 
         custom_args = {}
         if encoding.field is not None:
@@ -122,7 +136,7 @@ def __visit_encoding(self, ctx: VisitorContext) -> VegaLiteChart:
             custom_args["bin"] = alt.BinParams(maxbins=encoding.binning)
 
         if view.scale is not None:
-            scale_or_none = self.__get_scale_for_encoding(encoding.channel, view)
+            scale_or_none = self.__get_scale_for_encoding(encoding.channel, view.scale)
             if scale_or_none is not None:
                 custom_args["scale"] = scale_or_none
 
@@ -160,12 +174,12 @@ def __get_field_type(self, fields: list[Field], field_name: FieldName) -> str:
         return renames[field_by_name[0].type]
 
     def __get_scale_for_encoding(
-        self, channel: EncodingChannel, view: View
+        self, channel: EncodingChannel, scales: list[Scale]
     ) -> alt.Scale | None:
         renames = {
             "categorical": "ordinal",
         }
-        for scale in view.scale:
+        for scale in scales:
             if scale.channel == channel:
                 scale_args = scale.dict(exclude_none=True, exclude={"channel"})
                 scale_args["type"] = renames.get(scale.type, scale.type)
diff --git a/draco/types.py b/draco/types.py
index 9348fa7c..41794e8b 100644
--- a/draco/types.py
+++ b/draco/types.py
@@ -1,13 +1,18 @@
 from typing import Iterable, Literal, TypeAlias
 
-import pydantic
+# granular imports to satisfy `pyright`
+import pydantic.class_validators as pydantic_validators
+import pydantic.config as pydantic_config
+import pydantic.fields as pydantic_fields
+import pydantic.main as pydantic_main
+import pydantic.types as pydantic_types
 
 Specification: TypeAlias = Iterable[str] | str
 
 """
 The number of rows in the dataset.
 """
-DatasetNumberRows = pydantic.PositiveInt
+DatasetNumberRows = pydantic_types.PositiveInt
 
 """
 The name of a data field.
@@ -26,13 +31,13 @@
 The number of unique values.
 Described as `(field,unique)`
 """
-FieldUnique = pydantic.PositiveInt
+FieldUnique = pydantic_types.PositiveInt
 
 """
 The entropy of the field.
 Described as `(field,entropy)`
 """
-FieldEntropy = pydantic.PositiveFloat
+FieldEntropy = pydantic_types.PositiveFloat
 
 """
 The minimum value. Only used for numbers.
@@ -50,13 +55,13 @@
 The standard deviation. Only used for numbers.
 Described as `(field,std)`
 """
-FieldStd = pydantic.confloat(ge=0)
+FieldStd = float
 
 """
 The frequency of the most common value. Only used for strings.
 Described as `(field,freq)`
 """
-FieldFreq = pydantic.PositiveInt
+FieldFreq = pydantic_types.PositiveInt
 
 """
 When the task regards specific fields, fields can be marked as relevant to the task.
@@ -99,7 +104,7 @@
 How the data is binned into N bins. Positive integer.
 Described as `(encoding,binning)`
 """
-EncodingBinning = pydantic.PositiveInt
+EncodingBinning = pydantic_types.PositiveInt
 
 """
 Stacking strategy. One of zero, center, or normalize.
@@ -145,9 +150,9 @@
 FacetBinning = EncodingBinning
 
 
-class SchemaBase(pydantic.BaseModel):
+class SchemaBase(pydantic_main.BaseModel):
     class Config:
-        extra = pydantic.Extra.forbid
+        extra = pydantic_config.Extra.forbid
 
 
 class Encoding(SchemaBase):
@@ -157,7 +162,7 @@ class Encoding(SchemaBase):
     binning: EncodingBinning | None = None
     stack: EncodingStack | None = None
 
-    @pydantic.root_validator(pre=True)
+    @pydantic_validators.root_validator(pre=True)
     def check_field_is_present_unless_agg_count(cls, values: dict):
         if values.get("aggregate", None) != "count" and "field" not in values:
             raise ValueError("field must be present unless aggregate is count")
@@ -171,7 +176,7 @@ class Mark(SchemaBase):
 
 class Scale(SchemaBase):
     channel: ScaleChannel
-    type: ScaleType = pydantic.Field(default="linear")
+    type: ScaleType = pydantic_fields.Field(default="linear")
     zero: ScaleZero | None = None
 
 
@@ -182,7 +187,7 @@ class Facet(SchemaBase):
 
 
 class View(SchemaBase):
-    coordinates: ViewCoordinate = pydantic.Field(default="cartesian")
+    coordinates: ViewCoordinate = pydantic_fields.Field(default="cartesian")
     mark: list[Mark]
     scale: list[Scale] | None = None
     facet: list[Facet] | None = None
@@ -202,7 +207,7 @@ class Field(SchemaBase):
     __STRING_ONLY_FIELDS__ = {"freq"}
     __NUMBER_ONLY_FIELDS__ = {"min", "max", "std"}
 
-    @pydantic.root_validator(pre=True)
+    @pydantic_validators.root_validator(pre=True)
     def check_no_string_attributes_on_number_type(cls, values: dict):
         if values["type"] == "number":
             for field in cls.__STRING_ONLY_FIELDS__:
@@ -212,7 +217,7 @@ def check_no_string_attributes_on_number_type(cls, values: dict):
                     )
         return values
 
-    @pydantic.root_validator(pre=True)
+    @pydantic_validators.root_validator(pre=True)
     def check_no_number_attributes_on_string_type(cls, values: dict):
         if values["type"] == "string":
             for field in cls.__NUMBER_ONLY_FIELDS__:

From 68e65e8ffc4039238470231a7d4e3834c4a9c42e Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?P=C3=A9ter=20Ferenc=20Gyarmati?= <dev.petergy@gmail.com>
Date: Thu, 10 Nov 2022 18:52:37 +0100
Subject: [PATCH 09/45] chore: bump `wheel`

maybe fixes failing CI job https://github.com/cmudig/draco2/actions/runs/3439166059/jobs/5736131475
---
 poetry.lock    | 2 +-
 pyproject.toml | 2 +-
 2 files changed, 2 insertions(+), 2 deletions(-)

diff --git a/poetry.lock b/poetry.lock
index 5aa90792..7e847ef9 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -2545,7 +2545,7 @@ testing = ["pytest (>=6)", "pytest-checkdocs (>=2.4)", "pytest-flake8", "flake8
 [metadata]
 lock-version = "1.1"
 python-versions = ">=3.10.0,<3.11"
-content-hash = "6bd63a651208289e631eb60d29596c556e2eab7b8a0647d138245fecb6058bcd"
+content-hash = "cee6e279d5d87d8fa8f8c1cbe606276af48b74fbbb712e4a30f22eac6e0b7a99"
 
 [metadata.files]
 alabaster = []
diff --git a/pyproject.toml b/pyproject.toml
index fd76a36a..a3a6c0de 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -55,7 +55,7 @@ sphinx-autodoc-typehints = "^1.19.1"
 toml = "^0.10.2"
 types-pkg-resources = "^0.1.2"
 vega-datasets = "^0.9.0"
-wheel = "^0.38.2"
+wheel = "^0.38.4"
 
 [build-system]
 requires = ["poetry-core>=1.0.0"]

From f15dda8a9b32da7895907aefebc3969b06f58cd6 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?P=C3=A9ter=20Ferenc=20Gyarmati?= <dev.petergy@gmail.com>
Date: Thu, 10 Nov 2022 22:28:56 +0100
Subject: [PATCH 10/45] docs: document renderer

---
 draco/renderer/__init__.py        |  4 ++
 draco/renderer/altair_renderer.py | 84 +++++++++++++++++++++++++++++--
 draco/renderer/base_renderer.py   | 21 +++++---
 3 files changed, 97 insertions(+), 12 deletions(-)

diff --git a/draco/renderer/__init__.py b/draco/renderer/__init__.py
index e69de29b..1566a9fc 100644
--- a/draco/renderer/__init__.py
+++ b/draco/renderer/__init__.py
@@ -0,0 +1,4 @@
+from .altair_renderer import AltairRenderer
+from .base_renderer import BaseRenderer
+
+__all__ = ["BaseRenderer", "AltairRenderer"]
diff --git a/draco/renderer/altair_renderer.py b/draco/renderer/altair_renderer.py
index ab972f20..e757c198 100644
--- a/draco/renderer/altair_renderer.py
+++ b/draco/renderer/altair_renderer.py
@@ -16,6 +16,10 @@
 )
 from .base_renderer import BaseRenderer
 
+"""
+Generic parameter for the type of the produced visualization object.
+Used to abstract away the final type of the produced visualization object.
+"""
 VegaLiteChart = TypeVar(
     "VegaLiteChart", alt.VConcatChart, alt.HConcatChart, alt.FacetChart, alt.Chart
 )
@@ -23,6 +27,11 @@
 
 @dataclass(frozen=True)
 class RootContext(Generic[VegaLiteChart]):
+    """
+    Visitor callback context available when processing
+    the dictionary-based specification at the root level.
+    """
+
     spec: SpecificationDict
     chart: VegaLiteChart
     chart_views: list[VegaLiteChart]
@@ -30,23 +39,46 @@ class RootContext(Generic[VegaLiteChart]):
 
 @dataclass(frozen=True)
 class ViewContext(RootContext):
+    """
+    Visitor callback context available when processing
+    the dictionary-based specification at the `View` level.
+    """
+
     view: View
 
 
 @dataclass(frozen=True)
 class MarkContext(ViewContext):
+    """
+    Visitor callback context available when processing
+    the dictionary-based specification at the `Mark` level.
+    """
+
     mark: Mark
 
 
 @dataclass(frozen=True)
 class EncodingContext(MarkContext):
+    """
+    Visitor callback context available when processing
+    the dictionary-based specification at the `Encoding` level.
+    """
+
     encoding: Encoding
 
 
 class AltairRenderer(BaseRenderer[VegaLiteChart]):
-    def build(self, spec: SpecificationDict, data: DataFrame) -> VegaLiteChart:
+    """
+    Produces a `Vega-Lite <https://vega.github.io/vega-lite/>`_ visualization
+    represented as an `Altair <https://altair-viz.github.io/>`_ chart object.
+    """
+
+    def render(self, spec: SpecificationDict, data: DataFrame) -> VegaLiteChart:
+        # initial chart to be mutated by the visitor callbacks
         chart = alt.Chart(data)
         chart_views: list[VegaLiteChart] = []
+
+        # Traverse the specification dict and invoke the appropriate visitor
         for v in spec.view:
             for m in v.mark:
                 chart = self.__visit_mark(
@@ -73,10 +105,14 @@ def build(self, spec: SpecificationDict, data: DataFrame) -> VegaLiteChart:
             ctx=RootContext(spec=spec, chart=chart, chart_views=chart_views)
         )
 
-    def display(self, product: VegaLiteChart) -> None:
-        pass
-
     def __visit_root(self, ctx: RootContext) -> VegaLiteChart:
+        """
+        Handles root-level configuration.
+        Responsible for chart concatenation and resolution of shared axes.
+
+        :param ctx: The current visitor context.
+        :return: The chart with the root configuration applied.
+        """
         views = ctx.chart_views
         chart = len(views) > 1 and alt.vconcat(*views) or views[0]
         if ctx.spec.scale is not None:
@@ -86,6 +122,14 @@ def __visit_root(self, ctx: RootContext) -> VegaLiteChart:
         return chart
 
     def __visit_view(self, ctx: ViewContext) -> VegaLiteChart:
+        """
+        Handles view-specific configuration.
+        Responsible for faceting and concatenation.
+
+        :param ctx: The current visitor context.
+        :return: The chart with the view applied.
+        :raises ValueError: if the facet channel is not supported
+        """
         view, chart = (ctx.view, ctx.chart)
         if view.facet is not None:
             for f in view.facet:
@@ -106,6 +150,14 @@ def __visit_view(self, ctx: ViewContext) -> VegaLiteChart:
         return chart
 
     def __visit_mark(self, ctx: MarkContext) -> VegaLiteChart:
+        """
+        Handles mark-specific configuration.
+        Responsible for applying the mark type to the chart.
+
+        :param ctx: The current visitor context.
+        :return: The chart with the mark applied.
+        :raises ValueError: if the mark type is not supported
+        """
         chart, mark_type = (ctx.chart, ctx.mark.type)
         match mark_type:
             case "point":
@@ -126,6 +178,14 @@ def __visit_mark(self, ctx: MarkContext) -> VegaLiteChart:
                 raise ValueError(f"Unknown mark type: {mark_type}")
 
     def __visit_encoding(self, ctx: EncodingContext) -> VegaLiteChart:
+        """
+        Handles encoding-specific configuration.
+        Responsible for applying the encoding to the chart.
+
+        :param ctx: The current visitor context.
+        :return: The updated chart.
+        :raises ValueError: If an unknown encoding channel is encountered.
+        """
         spec, chart, view, encoding = (ctx.spec, ctx.chart, ctx.view, ctx.encoding)
 
         custom_args = {}
@@ -162,6 +222,15 @@ def __visit_encoding(self, ctx: EncodingContext) -> VegaLiteChart:
                 raise ValueError(f"Unknown channel: {encoding.channel}")
 
     def __get_field_type(self, fields: list[Field], field_name: FieldName) -> str:
+        """
+        Returns the type of the field with the given name.
+        Needed to map from Draco-spec data types to Vega-Lite data types.
+
+        :param fields: list of fields in the specification
+        :param field_name: name of the field to look up
+        :return: the type of the field
+        :raises ValueError: if the field is not found
+        """
         renames = {
             "number": "quantitative",
             "string": "nominal",
@@ -176,6 +245,13 @@ def __get_field_type(self, fields: list[Field], field_name: FieldName) -> str:
     def __get_scale_for_encoding(
         self, channel: EncodingChannel, scales: list[Scale]
     ) -> alt.Scale | None:
+        """
+        Returns the scale for the given encoding channel, if any.
+
+        :param channel: the channel for which to look up a scale
+        :param scales: the list of scales in the view
+        :return: the scale for the given channel, or None if no scale is found
+        """
         renames = {
             "categorical": "ordinal",
         }
diff --git a/draco/renderer/base_renderer.py b/draco/renderer/base_renderer.py
index e6550b8b..f9ed5345 100644
--- a/draco/renderer/base_renderer.py
+++ b/draco/renderer/base_renderer.py
@@ -9,14 +9,19 @@
 
 
 class BaseRenderer(ABC, Generic[T]):
-    @abstractmethod
-    def build(self, spec: SpecificationDict, data: DataFrame) -> T:
-        raise NotImplementedError
+    """
+    Base class for all renderers.
+    Should handle the creation of a visualization
+    represented as an object of type `T`.
+    """
 
     @abstractmethod
-    def display(self, product: T) -> None:
-        raise NotImplementedError
+    def render(self, spec: SpecificationDict, data: DataFrame) -> T:
+        """
+        Render a visualization from a dictionary-based specification and data.
 
-    def render(self, spec: SpecificationDict, data: DataFrame) -> None:
-        product = self.build(spec, data)
-        self.display(product)
+        :param spec: Specification of the visualization.
+        :param data: Data to render.
+        :return: Produced visualization object of type `T`.
+        """
+        raise NotImplementedError

From 2630f610f6d3f938d6b03ba46e5e6ad3d9c07a15 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?P=C3=A9ter=20Ferenc=20Gyarmati?= <dev.petergy@gmail.com>
Date: Thu, 10 Nov 2022 22:38:23 +0100
Subject: [PATCH 11/45] docs: document `types`

---
 draco/types.py | 57 ++++++++++++++++++++++++++++++++++++++++++++++++++
 1 file changed, 57 insertions(+)

diff --git a/draco/types.py b/draco/types.py
index 41794e8b..a02f1632 100644
--- a/draco/types.py
+++ b/draco/types.py
@@ -7,6 +7,9 @@
 import pydantic.main as pydantic_main
 import pydantic.types as pydantic_types
 
+"""
+ASP-based fact representation of a visualization specification.
+"""
 Specification: TypeAlias = Iterable[str] | str
 
 """
@@ -151,11 +154,21 @@
 
 
 class SchemaBase(pydantic_main.BaseModel):
+    """Base class for all schema classes."""
+
     class Config:
+        # Do not allow fields that are not defined in the schema explicitly.
         extra = pydantic_config.Extra.forbid
 
 
 class Encoding(SchemaBase):
+    """
+    Encoding schema.
+    Encodings define how data fields map to visual properties (channel) of the mark.
+
+    `Read More <https://dig.cmu.edu/draco2/facts/encoding.html>`_.
+    """
+
     channel: EncodingChannel
     field: EncodingField | None = None
     aggregate: EncodingAggregate | None = None
@@ -170,23 +183,54 @@ def check_field_is_present_unless_agg_count(cls, values: dict):
 
 
 class Mark(SchemaBase):
+    """
+    Mark schema.
+    A mark represents the graphical mark of the visualization.
+
+    `Read More <https://dig.cmu.edu/draco2/facts/mark.html>`_.
+    """
+
     type: MarkType
     encoding: list[Encoding]
 
 
 class Scale(SchemaBase):
+    """
+    Scale schema.
+    Scales map abstract values such as time or temperature to
+    a visual value such as x- or y-position or color.
+
+    `Read More <https://dig.cmu.edu/draco2/facts/scale.html>`_.
+    """
+
     channel: ScaleChannel
     type: ScaleType = pydantic_fields.Field(default="linear")
     zero: ScaleZero | None = None
 
 
 class Facet(SchemaBase):
+    """
+    Facet schema.
+    With the facet operator, we can partition a dataset by a field
+    and create a view for each field.
+    The resulting chart is often called a small multiples chart.
+
+    `Read More <https://dig.cmu.edu/draco2/facts/facet.html>`_.
+    """
+
     channel: FacetChannel
     field: FacetField
     binning: FacetBinning | None = None
 
 
 class View(SchemaBase):
+    """
+    View schema.
+    A view can group marks and scales together.
+
+    `Read More <https://dig.cmu.edu/draco2/facts/view.html>`_.
+    """
+
     coordinates: ViewCoordinate = pydantic_fields.Field(default="cartesian")
     mark: list[Mark]
     scale: list[Scale] | None = None
@@ -194,6 +238,14 @@ class View(SchemaBase):
 
 
 class Field(SchemaBase):
+    """
+    Field schema.
+    Represents a column in the dataset.
+    Draco can use information about the field type and field statistics.
+
+    `Read More <https://dig.cmu.edu/draco2/facts/schema.html#field-properties>`_.
+    """
+
     name: FieldName
     type: FieldType
     unique: FieldUnique | None = None
@@ -229,6 +281,11 @@ def check_no_number_attributes_on_string_type(cls, values: dict):
 
 
 class SpecificationDict(SchemaBase):
+    """
+    Specification schema.
+    Describes a visualization completely.
+    """
+
     number_rows: DatasetNumberRows
     field: list[Field]
     view: list[View]

From 9f8162d2556d3e6b5a23c6ba29d6bccbc69b0d2e Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?P=C3=A9ter=20Ferenc=20Gyarmati?= <dev.petergy@gmail.com>
Date: Thu, 10 Nov 2022 22:52:43 +0100
Subject: [PATCH 12/45] chore: update `poetry.lock`

---
 poetry.lock | 224 +++++++++++++++++-----------------------------------
 1 file changed, 71 insertions(+), 153 deletions(-)

diff --git a/poetry.lock b/poetry.lock
index 7e847ef9..70409ce9 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -180,7 +180,7 @@ webencodings = "*"
 
 [package.extras]
 css = ["tinycss2 (>=1.1.0,<1.2)"]
-dev = ["build (==0.8.0)", "flake8 (==4.0.1)", "hashin (==0.17.0)", "pip-tools (==6.6.2)", "pytest (==7.1.2)", "Sphinx (==4.3.2)", "tox (==3.25.0)", "twine (==4.0.1)", "wheel (==0.37.1)", "black (==22.3.0)", "mypy (==0.961)"]
+dev = ["build (==0.8.0)", "flake8 (==4.0.1)", "hashin (==0.17.0)", "pip-tools (==6.6.2)", "pytest (==7.1.2)", "Sphinx (==4.3.2)", "tox (==3.25.0)", "twine (==4.0.1)", "wheel (==0.38.4)", "black (==22.3.0)", "mypy (==0.961)"]
 
 [[package]]
 name = "certifi"
@@ -769,10 +769,10 @@ nbformat = "*"
 sqlalchemy = ">=1.3.12,<1.5"
 
 [package.extras]
-testing = ["nbformat (>=5.1)", "pandas", "sympy", "numpy", "matplotlib", "pytest-regressions", "pytest-cov", "pytest (>=3.6,<4)", "coverage", "ipykernel"]
-rtd = ["pydata-sphinx-theme", "sphinx-copybutton", "myst-nb (>=0.7,<1.0)"]
-code_style = ["pre-commit (==1.17.0)", "black", "flake8 (>=3.7.0,<3.8.0)"]
-cli = ["pyyaml", "tabulate", "click-log", "click-completion", "click"]
+cli = ["click", "click-completion", "click-log", "tabulate", "pyyaml"]
+code_style = ["flake8 (>=3.7.0,<3.8.0)", "black", "pre-commit (==1.17.0)"]
+rtd = ["myst-nb (>=0.7,<1.0)", "sphinx-copybutton", "pydata-sphinx-theme"]
+testing = ["ipykernel", "coverage", "pytest (>=3.6,<4)", "pytest-cov", "pytest-regressions", "matplotlib", "numpy", "sympy", "pandas", "nbformat (>=5.1)"]
 
 [[package]]
 name = "jupyter-client"
@@ -852,7 +852,7 @@ python-versions = ">=3.7"
 jupyter-server = ">=1.1"
 
 [package.extras]
-test = ["pytest", "jupyter-server"]
+test = ["jupyter-server", "pytest"]
 
 [[package]]
 name = "jupyter-sphinx"
@@ -952,7 +952,7 @@ six = ">=1.4.1"
 
 [[package]]
 name = "libcst"
-version = "0.4.8"
+version = "0.4.9"
 description = "A concrete syntax tree with AST-like properties for Python 3.5, 3.6, 3.7, 3.8, 3.9, and 3.10 programs."
 category = "dev"
 optional = false
@@ -964,7 +964,7 @@ typing-extensions = ">=3.7.4.2"
 typing-inspect = ">=0.4.0"
 
 [package.extras]
-dev = ["black (==22.10.0)", "coverage (>=4.5.4)", "fixit (==0.1.1)", "flake8 (>=3.7.8,<5)", "Sphinx (>=5.1.1)", "hypothesis (>=4.36.0)", "hypothesmith (>=0.0.4)", "jupyter (>=1.0.0)", "maturin (>=0.8.3,<0.14)", "nbsphinx (>=0.4.2)", "prompt-toolkit (>=2.0.9)", "setuptools-scm (>=6.0.1)", "sphinx-rtd-theme (>=0.4.3)", "ufmt (==2.0.1)", "usort (==1.0.5)", "setuptools-rust (>=0.12.1)", "slotscheck (>=0.7.1)", "jinja2 (==3.1.2)", "pyre-check (==0.9.9)"]
+dev = ["black (==22.10.0)", "coverage (>=4.5.4)", "fixit (==0.1.1)", "flake8 (>=3.7.8,<5)", "Sphinx (>=5.1.1)", "hypothesis (>=4.36.0)", "hypothesmith (>=0.0.4)", "jupyter (>=1.0.0)", "maturin (>=0.8.3,<0.14)", "nbsphinx (>=0.4.2)", "prompt-toolkit (>=2.0.9)", "setuptools-scm (>=6.0.1)", "sphinx-rtd-theme (>=0.4.3)", "ufmt (==2.0.1)", "usort (==1.0.5)", "setuptools-rust (>=1.5.2)", "slotscheck (>=0.7.1)", "jinja2 (==3.1.2)", "pyre-check (==0.9.9)"]
 
 [[package]]
 name = "linkify-it-py"
@@ -978,10 +978,10 @@ python-versions = ">=3.6"
 uc-micro-py = "*"
 
 [package.extras]
-test = ["pytest-cov", "pytest", "coverage"]
-doc = ["myst-parser", "sphinx-book-theme", "sphinx"]
-dev = ["black", "flake8", "isort", "pre-commit"]
-benchmark = ["pytest-benchmark", "pytest"]
+benchmark = ["pytest", "pytest-benchmark"]
+dev = ["pre-commit", "isort", "flake8", "black"]
+doc = ["sphinx", "sphinx-book-theme", "myst-parser"]
+test = ["coverage", "pytest", "pytest-cov"]
 
 [[package]]
 name = "lxml"
@@ -1009,12 +1009,12 @@ python-versions = "~=3.6"
 attrs = ">=19,<22"
 
 [package.extras]
-testing = ["pytest-regressions", "pytest-cov", "pytest-benchmark (>=3.2,<4.0)", "pytest (>=3.6,<4)", "psutil", "coverage"]
-rtd = ["sphinx-book-theme", "sphinx-panels (>=0.4.0,<0.5.0)", "sphinx-copybutton", "sphinx (>=2,<4)", "pyyaml", "myst-nb (==0.13.0a1)"]
-plugins = ["mdit-py-plugins"]
-linkify = ["linkify-it-py (>=1.0,<2.0)"]
-compare = ["panflute (>=1.12,<2.0)", "mistune (>=0.8.4,<0.9.0)", "mistletoe-ebp (>=0.10.0,<0.11.0)", "markdown (>=3.2.2,<3.3.0)", "commonmark (>=0.9.1,<0.10.0)"]
 code_style = ["pre-commit (==2.6)"]
+compare = ["commonmark (>=0.9.1,<0.10.0)", "markdown (>=3.2.2,<3.3.0)", "mistletoe-ebp (>=0.10.0,<0.11.0)", "mistune (>=0.8.4,<0.9.0)", "panflute (>=1.12,<2.0)"]
+linkify = ["linkify-it-py (>=1.0,<2.0)"]
+plugins = ["mdit-py-plugins"]
+rtd = ["myst-nb (==0.13.0a1)", "pyyaml", "sphinx (>=2,<4)", "sphinx-copybutton", "sphinx-panels (>=0.4.0,<0.5.0)", "sphinx-book-theme"]
+testing = ["coverage", "psutil", "pytest (>=3.6,<4)", "pytest-benchmark (>=3.2,<4.0)", "pytest-cov", "pytest-regressions"]
 
 [[package]]
 name = "markupsafe"
@@ -1075,9 +1075,9 @@ python-versions = "~=3.6"
 markdown-it-py = ">=1.0,<2.0"
 
 [package.extras]
-testing = ["pytest-regressions", "pytest-cov", "pytest (>=3.6,<4)", "coverage"]
-rtd = ["sphinx-book-theme (>=0.1.0,<0.2.0)", "myst-parser (==0.14.0a3)"]
 code_style = ["pre-commit (==2.6)"]
+rtd = ["myst-parser (==0.14.0a3)", "sphinx-book-theme (>=0.1.0,<0.2.0)"]
+testing = ["coverage", "pytest (>=3.6,<4)", "pytest-cov", "pytest-regressions"]
 
 [[package]]
 name = "mistune"
@@ -1407,7 +1407,7 @@ python-dateutil = ">=2.8.1"
 pytz = ">=2020.1"
 
 [package.extras]
-test = ["pytest-xdist (>=1.31)", "pytest (>=6.0)", "hypothesis (>=5.5.3)"]
+test = ["hypothesis (>=5.5.3)", "pytest (>=6.0)", "pytest-xdist (>=1.31)"]
 
 [[package]]
 name = "pandas-stubs"
@@ -1653,10 +1653,10 @@ packaging = "*"
 sphinx = ">=3.5.4,<5"
 
 [package.extras]
-dev = ["pydata-sphinx-theme", "nox", "pre-commit", "pyyaml"]
-coverage = ["pydata-sphinx-theme", "codecov", "pytest-cov"]
-test = ["pydata-sphinx-theme", "pytest"]
-doc = ["xarray", "numpy", "plotly", "jupyter-sphinx", "sphinx-sitemap", "sphinxext-rediraffe", "pytest-regressions", "pytest", "pandas", "myst-parser", "numpydoc"]
+doc = ["numpydoc", "myst-parser", "pandas", "pytest", "pytest-regressions", "sphinxext-rediraffe", "sphinx-sitemap", "jupyter-sphinx", "plotly", "numpy", "xarray"]
+test = ["pytest", "pydata-sphinx-theme"]
+coverage = ["pytest-cov", "codecov", "pydata-sphinx-theme"]
+dev = ["pyyaml", "pre-commit", "nox", "pydata-sphinx-theme"]
 
 [[package]]
 name = "pydot"
@@ -2000,9 +2000,9 @@ pyyaml = "*"
 sphinx = ">=3,<5"
 
 [package.extras]
-test = ["sphinx-thebe", "pytest-regressions (>=2.0.1,<2.1.0)", "pytest-cov", "pytest (>=6.0.1,<6.1.0)", "myst-nb (>=0.13.2,<0.14.0)", "coverage", "beautifulsoup4 (>=4.6.1,<5)"]
-doc = ["sphinxext-opengraph", "sphinxcontrib-youtube", "sphinxcontrib-bibtex (>=2.2,<3.0)", "sphinx-thebe (>=0.1.1)", "sphinx-togglebutton (>=0.2.1)", "sphinx-tabs", "sphinx-copybutton", "sphinx-examples", "sphinx-design", "sphinx (>=4.0,<5.0)", "plotly", "pandas", "nbclient", "myst-nb (>=0.13.2,<0.14.0)", "numpydoc", "matplotlib", "numpy", "folium", "ipywidgets", "ablog (>=0.10.13,<0.11.0)"]
 code_style = ["pre-commit (>=2.7.0,<2.8.0)"]
+doc = ["ablog (>=0.10.13,<0.11.0)", "ipywidgets", "folium", "numpy", "matplotlib", "numpydoc", "myst-nb (>=0.13.2,<0.14.0)", "nbclient", "pandas", "plotly", "sphinx (>=4.0,<5.0)", "sphinx-design", "sphinx-examples", "sphinx-copybutton", "sphinx-tabs", "sphinx-togglebutton (>=0.2.1)", "sphinx-thebe (>=0.1.1)", "sphinxcontrib-bibtex (>=2.2,<3.0)", "sphinxcontrib-youtube", "sphinxext-opengraph"]
+test = ["beautifulsoup4 (>=4.6.1,<5)", "coverage", "myst-nb (>=0.13.2,<0.14.0)", "pytest (>=6.0.1,<6.1.0)", "pytest-cov", "pytest-regressions (>=2.0.1,<2.1.0)", "sphinx-thebe"]
 
 [[package]]
 name = "sphinx-comments"
@@ -2016,9 +2016,9 @@ python-versions = "*"
 sphinx = ">=1.8"
 
 [package.extras]
-testing = ["sphinx-book-theme", "sphinx (>=2)", "pytest-regressions", "pytest", "myst-parser", "beautifulsoup4"]
-sphinx = ["myst-parser", "sphinx-book-theme", "sphinx (>=2)"]
-code_style = ["pre-commit (==1.17.0)", "black", "flake8 (>=3.7.0,<3.8.0)"]
+code_style = ["flake8 (>=3.7.0,<3.8.0)", "black", "pre-commit (==1.17.0)"]
+sphinx = ["sphinx (>=2)", "sphinx-book-theme", "myst-parser"]
+testing = ["beautifulsoup4", "myst-parser", "pytest", "pytest-regressions", "sphinx (>=2)", "sphinx-book-theme"]
 
 [[package]]
 name = "sphinx-copybutton"
@@ -2032,8 +2032,8 @@ python-versions = ">=3.6"
 sphinx = ">=1.8"
 
 [package.extras]
-rtd = ["sphinx-book-theme", "myst-nb", "ipython", "sphinx"]
 code_style = ["pre-commit (==2.12.1)"]
+rtd = ["sphinx", "ipython", "myst-nb", "sphinx-book-theme"]
 
 [[package]]
 name = "sphinx-design"
@@ -2047,13 +2047,13 @@ python-versions = ">=3.7"
 sphinx = ">=3,<5"
 
 [package.extras]
-theme_sbt = ["sphinx-book-theme (>=0.3.0,<0.4.0)"]
-theme_rtd = ["sphinx-rtd-theme (>=1.0,<2.0)"]
-theme_pydata = ["pydata-sphinx-theme (>=0.8.1,<0.9.0)"]
-theme_furo = ["furo (==2022.04.07)"]
-testing = ["pytest-regressions", "pytest-cov", "pytest (>=6.2,<7.0)", "myst-parser (>=0.17.0,<0.18.0)"]
-rtd = ["myst-parser (>=0.17.0,<0.18.0)"]
 code_style = ["pre-commit (>=2.12,<3.0)"]
+rtd = ["myst-parser (>=0.17.0,<0.18.0)"]
+testing = ["myst-parser (>=0.17.0,<0.18.0)", "pytest (>=6.2,<7.0)", "pytest-cov", "pytest-regressions"]
+theme_furo = ["furo (==2022.04.07)"]
+theme_pydata = ["pydata-sphinx-theme (>=0.8.1,<0.9.0)"]
+theme_rtd = ["sphinx-rtd-theme (>=1.0,<2.0)"]
+theme_sbt = ["sphinx-book-theme (>=0.3.0,<0.4.0)"]
 
 [[package]]
 name = "sphinx-external-toc"
@@ -2070,9 +2070,9 @@ pyyaml = "*"
 sphinx = ">=3,<5"
 
 [package.extras]
-testing = ["pytest-regressions", "pytest-cov", "pytest (>=3.6,<4)", "coverage"]
-rtd = ["sphinx-book-theme (>=0.0.36)", "myst-parser (>=0.15.0,<0.16.0)"]
 code_style = ["pre-commit (>=2.12,<3.0)"]
+rtd = ["myst-parser (>=0.15.0,<0.16.0)", "sphinx-book-theme (>=0.0.36)"]
+testing = ["coverage", "pytest (>=3.6,<4)", "pytest-cov", "pytest-regressions"]
 
 [[package]]
 name = "sphinx-jupyterbook-latex"
@@ -2103,9 +2103,9 @@ python-versions = "*"
 sphinx = ">=3"
 
 [package.extras]
-testing = ["jupyter-book", "pytest-regressions", "coverage (<5.0)", "pytest-cov (>=2.8,<3.0)", "pytest (>=5.4,<6.0)"]
-rtd = ["myst-parser", "sphinx-book-theme", "sphinx (>=3.0)"]
-code_style = ["pre-commit (==1.17.0)", "black", "flake8 (>=3.7.0,<3.8.0)"]
+code_style = ["flake8 (>=3.7.0,<3.8.0)", "black", "pre-commit (==1.17.0)"]
+rtd = ["sphinx (>=3.0)", "sphinx-book-theme", "myst-parser"]
+testing = ["pytest (>=5.4,<6.0)", "pytest-cov (>=2.8,<3.0)", "coverage (<5.0)", "pytest-regressions", "jupyter-book"]
 
 [[package]]
 name = "sphinx-thebe"
@@ -2119,8 +2119,8 @@ python-versions = "*"
 sphinx = ">=3.5,<5"
 
 [package.extras]
-testing = ["beautifulsoup4", "pytest-regressions", "pytest", "matplotlib"]
-sphinx = ["sphinx-panels", "sphinx-copybutton", "sphinx-book-theme", "myst-nb", "matplotlib"]
+sphinx = ["matplotlib", "myst-nb", "sphinx-book-theme", "sphinx-copybutton", "sphinx-panels"]
+testing = ["matplotlib", "pytest", "pytest-regressions", "beautifulsoup4"]
 
 [[package]]
 name = "sphinx-togglebutton"
@@ -2135,7 +2135,7 @@ docutils = "*"
 sphinx = "*"
 
 [package.extras]
-sphinx = ["sphinx-examples", "sphinx-design", "sphinx-book-theme", "myst-nb", "numpy", "matplotlib"]
+sphinx = ["matplotlib", "numpy", "myst-nb", "sphinx-book-theme", "sphinx-design", "sphinx-examples"]
 
 [[package]]
 name = "sphinxcontrib-applehelp"
@@ -2146,8 +2146,8 @@ optional = false
 python-versions = ">=3.5"
 
 [package.extras]
+lint = ["flake8", "mypy", "docutils-stubs"]
 test = ["pytest"]
-lint = ["docutils-stubs", "mypy", "flake8"]
 
 [[package]]
 name = "sphinxcontrib-bibtex"
@@ -2172,8 +2172,8 @@ optional = false
 python-versions = ">=3.5"
 
 [package.extras]
+lint = ["flake8", "mypy", "docutils-stubs"]
 test = ["pytest"]
-lint = ["docutils-stubs", "mypy", "flake8"]
 
 [[package]]
 name = "sphinxcontrib-htmlhelp"
@@ -2184,8 +2184,8 @@ optional = false
 python-versions = ">=3.6"
 
 [package.extras]
-test = ["html5lib", "pytest"]
-lint = ["docutils-stubs", "mypy", "flake8"]
+lint = ["flake8", "mypy", "docutils-stubs"]
+test = ["pytest", "html5lib"]
 
 [[package]]
 name = "sphinxcontrib-jsmath"
@@ -2196,7 +2196,7 @@ optional = false
 python-versions = ">=3.5"
 
 [package.extras]
-test = ["mypy", "flake8", "pytest"]
+test = ["pytest", "flake8", "mypy"]
 
 [[package]]
 name = "sphinxcontrib-qthelp"
@@ -2207,8 +2207,8 @@ optional = false
 python-versions = ">=3.5"
 
 [package.extras]
+lint = ["flake8", "mypy", "docutils-stubs"]
 test = ["pytest"]
-lint = ["docutils-stubs", "mypy", "flake8"]
 
 [[package]]
 name = "sphinxcontrib-serializinghtml"
@@ -2219,8 +2219,8 @@ optional = false
 python-versions = ">=3.5"
 
 [package.extras]
+lint = ["flake8", "mypy", "docutils-stubs"]
 test = ["pytest"]
-lint = ["docutils-stubs", "mypy", "flake8"]
 
 [[package]]
 name = "sqlalchemy"
@@ -2332,8 +2332,8 @@ python-versions = ">=3.7"
 webencodings = ">=0.4"
 
 [package.extras]
-test = ["flake8", "isort", "pytest"]
-doc = ["sphinx-rtd-theme", "sphinx"]
+doc = ["sphinx", "sphinx-rtd-theme"]
+test = ["pytest", "isort", "flake8"]
 
 [[package]]
 name = "tokenize-rt"
@@ -2432,7 +2432,7 @@ optional = false
 python-versions = ">=3.6"
 
 [package.extras]
-test = ["pytest-cov", "pytest", "coverage"]
+test = ["coverage", "pytest", "pytest-cov"]
 
 [[package]]
 name = "urllib3"
@@ -2555,10 +2555,7 @@ appnope = []
 argon2-cffi = []
 argon2-cffi-bindings = []
 asttokens = []
-attrs = [
-    {file = "attrs-21.4.0-py2.py3-none-any.whl", hash = "sha256:2d27e3784d7a565d36ab851fe94887c5eccd6a463168875832a1be79c82828b4"},
-    {file = "attrs-21.4.0.tar.gz", hash = "sha256:626ba8234211db98e869df76230a137c4c40a12d72445c45d5f5b716f076e2fd"},
-]
+attrs = []
 babel = []
 backcall = []
 beautifulsoup4 = []
@@ -2566,15 +2563,9 @@ black = []
 bleach = []
 certifi = []
 cffi = []
-cfgv = [
-    {file = "cfgv-3.3.1-py2.py3-none-any.whl", hash = "sha256:c6a0883f3917a037485059700b9e75da2464e6c27051014ad85ba6aaa5884426"},
-    {file = "cfgv-3.3.1.tar.gz", hash = "sha256:f5a830efb9ce7a445376bb66ec94c638a9787422f96264c98edc6bdeed8ab736"},
-]
+cfgv = []
 charset-normalizer = []
-click = [
-    {file = "click-8.1.3-py3-none-any.whl", hash = "sha256:bb4d8133cb15a609f44e8213d9b391b0809795062913b383c62be0ee95b1db48"},
-    {file = "click-8.1.3.tar.gz", hash = "sha256:7682dc8afb30297001674575ea00d1814d808d6a36af415a82bd481d37ba7b8e"},
-]
+click = []
 clingo = []
 colorama = []
 contourpy = []
@@ -2603,18 +2594,12 @@ idna = []
 imagesize = []
 importlab = []
 importlib-metadata = []
-iniconfig = [
-    {file = "iniconfig-1.1.1-py2.py3-none-any.whl", hash = "sha256:011e24c64b7f47f6ebd835bb12a743f2fbe9a26d4cecaa7f53bc4f35ee9da8b3"},
-    {file = "iniconfig-1.1.1.tar.gz", hash = "sha256:bc3af051d7d14b2ee5ef9969666def0cd1a000e121eaea580d4a313df4b37f32"},
-]
+iniconfig = []
 ipykernel = []
 ipython = []
 ipython-genutils = []
 ipywidgets = []
-isort = [
-    {file = "isort-5.10.1-py3-none-any.whl", hash = "sha256:6f62d78e2f89b4500b080fe3a81690850cd254227f27f75c3a0c491a1f351ba7"},
-    {file = "isort-5.10.1.tar.gz", hash = "sha256:e8443a5e7a020e9d7f97f1d7d9cd17c88bcb3bc7e218bf9cf5095fe550be2951"},
-]
+isort = []
 jedi = []
 jinja2 = []
 joblib = []
@@ -2640,17 +2625,11 @@ markdown-it-py = []
 markupsafe = []
 matplotlib = []
 matplotlib-inline = []
-mccabe = [
-    {file = "mccabe-0.7.0-py2.py3-none-any.whl", hash = "sha256:6c2d30ab6be0e4a46919781807b4f0d834ebdd6c6e3dca0bda5a15f863427b6e"},
-    {file = "mccabe-0.7.0.tar.gz", hash = "sha256:348e0240c33b60bbdf4e523192ef919f28cb2c3d7d5c7794f74009290f236325"},
-]
+mccabe = []
 mdit-py-plugins = []
 mistune = []
 mypy = []
-mypy-extensions = [
-    {file = "mypy_extensions-0.4.3-py2.py3-none-any.whl", hash = "sha256:090fedd75945a69ae91ce1303b5824f428daf5a028d2f6ab8a299250a846f15d"},
-    {file = "mypy_extensions-0.4.3.tar.gz", hash = "sha256:2d82818f5bb3e369420cb3c4060a7970edba416647068eb4c5343488a6c604a8"},
-]
+mypy-extensions = []
 myst-nb = []
 myst-parser = []
 nbclassic = []
@@ -2665,10 +2644,7 @@ nodeenv = []
 notebook = []
 notebook-shim = []
 numpy = []
-packaging = [
-    {file = "packaging-21.3-py3-none-any.whl", hash = "sha256:ef103e05f519cdc783ae24ea4e2e0f508a9c99b2d4969652eed6a2e1ea5bd522"},
-    {file = "packaging-21.3.tar.gz", hash = "sha256:dd47c42927d89ab911e606518907cc2d3a1f38bbd026385970643f9c5b8ecfeb"},
-]
+packaging = []
 pandas = []
 pandas-stubs = []
 pandocfilters = []
@@ -2678,36 +2654,24 @@ pexpect = []
 pickleshare = []
 pillow = []
 platformdirs = []
-pluggy = [
-    {file = "pluggy-1.0.0-py2.py3-none-any.whl", hash = "sha256:74134bbf457f031a36d68416e1509f34bd5ccc019f0bcc952c7b909d06b37bd3"},
-    {file = "pluggy-1.0.0.tar.gz", hash = "sha256:4224373bacce55f955a878bf9cfa763c1e360858e330072059e10bad68531159"},
-]
+pluggy = []
 pre-commit = []
 prometheus-client = []
 prompt-toolkit = []
 psutil = []
 ptyprocess = []
 pure-eval = []
-py = [
-    {file = "py-1.11.0-py2.py3-none-any.whl", hash = "sha256:607c53218732647dff4acdfcd50cb62615cedf612e72d1724fb1a0cc6405b378"},
-    {file = "py-1.11.0.tar.gz", hash = "sha256:51c75c4126074b472f746a24399ad32f6053d1b34b68d2fa41e558e6f4a98719"},
-]
+py = []
 pybtex = []
 pybtex-docutils = []
 pycodestyle = []
-pycparser = [
-    {file = "pycparser-2.21-py2.py3-none-any.whl", hash = "sha256:8ee45429555515e1f6b185e78100aea234072576aa43ab53aefcae078162fca9"},
-    {file = "pycparser-2.21.tar.gz", hash = "sha256:e644fdec12f7872f86c58ff790da456218b10f863970249516d60a5eaca77206"},
-]
+pycparser = []
 pydantic = []
 pydata-sphinx-theme = []
 pydot = []
 pyflakes = []
 pygments = []
-pyparsing = [
-    {file = "pyparsing-3.0.9-py3-none-any.whl", hash = "sha256:5026bae9a10eeaefb61dab2f09052b9f4307d44aee4eda64b309723d8d206bbc"},
-    {file = "pyparsing-3.0.9.tar.gz", hash = "sha256:2b020ecf7d21b687f219b71ecad3631f644a47f01403fa1d1036b0c6416d70fb"},
-]
+pyparsing = []
 pyrsistent = []
 pytest = []
 pytest-cov = []
@@ -2716,51 +2680,14 @@ pytype = []
 pytz = []
 pywin32 = []
 pywinpty = []
-pyyaml = [
-    {file = "PyYAML-6.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:d4db7c7aef085872ef65a8fd7d6d09a14ae91f691dec3e87ee5ee0539d516f53"},
-    {file = "PyYAML-6.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:9df7ed3b3d2e0ecfe09e14741b857df43adb5a3ddadc919a2d94fbdf78fea53c"},
-    {file = "PyYAML-6.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:77f396e6ef4c73fdc33a9157446466f1cff553d979bd00ecb64385760c6babdc"},
-    {file = "PyYAML-6.0-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:a80a78046a72361de73f8f395f1f1e49f956c6be882eed58505a15f3e430962b"},
-    {file = "PyYAML-6.0-cp310-cp310-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:f84fbc98b019fef2ee9a1cb3ce93e3187a6df0b2538a651bfb890254ba9f90b5"},
-    {file = "PyYAML-6.0-cp310-cp310-win32.whl", hash = "sha256:2cd5df3de48857ed0544b34e2d40e9fac445930039f3cfe4bcc592a1f836d513"},
-    {file = "PyYAML-6.0-cp310-cp310-win_amd64.whl", hash = "sha256:daf496c58a8c52083df09b80c860005194014c3698698d1a57cbcfa182142a3a"},
-    {file = "PyYAML-6.0-cp36-cp36m-macosx_10_9_x86_64.whl", hash = "sha256:897b80890765f037df3403d22bab41627ca8811ae55e9a722fd0392850ec4d86"},
-    {file = "PyYAML-6.0-cp36-cp36m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:50602afada6d6cbfad699b0c7bb50d5ccffa7e46a3d738092afddc1f9758427f"},
-    {file = "PyYAML-6.0-cp36-cp36m-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:48c346915c114f5fdb3ead70312bd042a953a8ce5c7106d5bfb1a5254e47da92"},
-    {file = "PyYAML-6.0-cp36-cp36m-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:98c4d36e99714e55cfbaaee6dd5badbc9a1ec339ebfc3b1f52e293aee6bb71a4"},
-    {file = "PyYAML-6.0-cp36-cp36m-win32.whl", hash = "sha256:0283c35a6a9fbf047493e3a0ce8d79ef5030852c51e9d911a27badfde0605293"},
-    {file = "PyYAML-6.0-cp36-cp36m-win_amd64.whl", hash = "sha256:07751360502caac1c067a8132d150cf3d61339af5691fe9e87803040dbc5db57"},
-    {file = "PyYAML-6.0-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:819b3830a1543db06c4d4b865e70ded25be52a2e0631ccd2f6a47a2822f2fd7c"},
-    {file = "PyYAML-6.0-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:473f9edb243cb1935ab5a084eb238d842fb8f404ed2193a915d1784b5a6b5fc0"},
-    {file = "PyYAML-6.0-cp37-cp37m-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:0ce82d761c532fe4ec3f87fc45688bdd3a4c1dc5e0b4a19814b9009a29baefd4"},
-    {file = "PyYAML-6.0-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:231710d57adfd809ef5d34183b8ed1eeae3f76459c18fb4a0b373ad56bedcdd9"},
-    {file = "PyYAML-6.0-cp37-cp37m-win32.whl", hash = "sha256:c5687b8d43cf58545ade1fe3e055f70eac7a5a1a0bf42824308d868289a95737"},
-    {file = "PyYAML-6.0-cp37-cp37m-win_amd64.whl", hash = "sha256:d15a181d1ecd0d4270dc32edb46f7cb7733c7c508857278d3d378d14d606db2d"},
-    {file = "PyYAML-6.0-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:0b4624f379dab24d3725ffde76559cff63d9ec94e1736b556dacdfebe5ab6d4b"},
-    {file = "PyYAML-6.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:213c60cd50106436cc818accf5baa1aba61c0189ff610f64f4a3e8c6726218ba"},
-    {file = "PyYAML-6.0-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:9fa600030013c4de8165339db93d182b9431076eb98eb40ee068700c9c813e34"},
-    {file = "PyYAML-6.0-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:277a0ef2981ca40581a47093e9e2d13b3f1fbbeffae064c1d21bfceba2030287"},
-    {file = "PyYAML-6.0-cp38-cp38-win32.whl", hash = "sha256:d4eccecf9adf6fbcc6861a38015c2a64f38b9d94838ac1810a9023a0609e1b78"},
-    {file = "PyYAML-6.0-cp38-cp38-win_amd64.whl", hash = "sha256:1e4747bc279b4f613a09eb64bba2ba602d8a6664c6ce6396a4d0cd413a50ce07"},
-    {file = "PyYAML-6.0-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:055d937d65826939cb044fc8c9b08889e8c743fdc6a32b33e2390f66013e449b"},
-    {file = "PyYAML-6.0-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:e61ceaab6f49fb8bdfaa0f92c4b57bcfbea54c09277b1b4f7ac376bfb7a7c174"},
-    {file = "PyYAML-6.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d67d839ede4ed1b28a4e8909735fc992a923cdb84e618544973d7dfc71540803"},
-    {file = "PyYAML-6.0-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:cba8c411ef271aa037d7357a2bc8f9ee8b58b9965831d9e51baf703280dc73d3"},
-    {file = "PyYAML-6.0-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:40527857252b61eacd1d9af500c3337ba8deb8fc298940291486c465c8b46ec0"},
-    {file = "PyYAML-6.0-cp39-cp39-win32.whl", hash = "sha256:b5b9eccad747aabaaffbc6064800670f0c297e52c12754eb1d976c57e4f74dcb"},
-    {file = "PyYAML-6.0-cp39-cp39-win_amd64.whl", hash = "sha256:b3d267842bf12586ba6c734f89d1f5b871df0273157918b0ccefa29deb05c21c"},
-    {file = "PyYAML-6.0.tar.gz", hash = "sha256:68fb519c14306fec9720a2a5b45bc9f0c8d1b9c72adf45c37baedfcd949c35a2"},
-]
+pyyaml = []
 pyzmq = []
 requests = []
 scikit-learn = []
 scipy = []
 send2trash = []
 setuptools-scm = []
-six = [
-    {file = "six-1.16.0-py2.py3-none-any.whl", hash = "sha256:8abb2f1d86890a2dfb989f9a77cfcfd3e47c2a354b01111771326f8aa26e0254"},
-    {file = "six-1.16.0.tar.gz", hash = "sha256:1e61c37477a1626458e36f7b1d82aa5c9b094fa4802892072e49de9c60c4c926"},
-]
+six = []
 smmap = []
 sniffio = []
 snowballstemmer = []
@@ -2791,14 +2718,8 @@ terminado = []
 threadpoolctl = []
 tinycss2 = []
 tokenize-rt = []
-toml = [
-    {file = "toml-0.10.2-py2.py3-none-any.whl", hash = "sha256:806143ae5bfb6a3c6e736a764057db0e6a0e05e338b5630894a5f779cabb4f9b"},
-    {file = "toml-0.10.2.tar.gz", hash = "sha256:b3bda1d108d5dd99f4a20d24d9c348e91c4db7ab1b749200bded2f839ccbe68f"},
-]
-tomli = [
-    {file = "tomli-2.0.1-py3-none-any.whl", hash = "sha256:939de3e7a6161af0c887ef91b7d41a53e7c5a1ca976325f429cb46ea9bc30ecc"},
-    {file = "tomli-2.0.1.tar.gz", hash = "sha256:de526c12914f0c550d15924c62d72abc48d6fe7364aa87328337a31007fe8a4f"},
-]
+toml = []
+tomli = []
 toolz = []
 tornado = []
 traitlets = []
@@ -2811,10 +2732,7 @@ urllib3 = []
 uvicorn = []
 vega-datasets = []
 virtualenv = []
-wcwidth = [
-    {file = "wcwidth-0.2.5-py2.py3-none-any.whl", hash = "sha256:beb4802a9cebb9144e99086eff703a642a13d6a0052920003a230f3294bbe784"},
-    {file = "wcwidth-0.2.5.tar.gz", hash = "sha256:c4d647b99872929fdb7bdcaa4fbe7f01413ed3d98077df798530e5b04f116c83"},
-]
+wcwidth = []
 webencodings = []
 websocket-client = []
 widgetsnbextension = []

From fc686091fa85e4326e4373c32e112ce6d80376c1 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?P=C3=A9ter=20Ferenc=20Gyarmati?= <dev.petergy@gmail.com>
Date: Thu, 10 Nov 2022 23:20:36 +0100
Subject: [PATCH 13/45] chore: downgrade `wheel`

---
 poetry.lock    | 4 ++--
 pyproject.toml | 2 +-
 2 files changed, 3 insertions(+), 3 deletions(-)

diff --git a/poetry.lock b/poetry.lock
index 70409ce9..6e33d305 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -180,7 +180,7 @@ webencodings = "*"
 
 [package.extras]
 css = ["tinycss2 (>=1.1.0,<1.2)"]
-dev = ["build (==0.8.0)", "flake8 (==4.0.1)", "hashin (==0.17.0)", "pip-tools (==6.6.2)", "pytest (==7.1.2)", "Sphinx (==4.3.2)", "tox (==3.25.0)", "twine (==4.0.1)", "wheel (==0.38.4)", "black (==22.3.0)", "mypy (==0.961)"]
+dev = ["build (==0.8.0)", "flake8 (==4.0.1)", "hashin (==0.17.0)", "pip-tools (==6.6.2)", "pytest (==7.1.2)", "Sphinx (==4.3.2)", "tox (==3.25.0)", "twine (==4.0.1)", "wheel (==0.37.1)", "black (==22.3.0)", "mypy (==0.961)"]
 
 [[package]]
 name = "certifi"
@@ -2545,7 +2545,7 @@ testing = ["pytest (>=6)", "pytest-checkdocs (>=2.4)", "pytest-flake8", "flake8
 [metadata]
 lock-version = "1.1"
 python-versions = ">=3.10.0,<3.11"
-content-hash = "cee6e279d5d87d8fa8f8c1cbe606276af48b74fbbb712e4a30f22eac6e0b7a99"
+content-hash = "3c160a6de624434570bc5bd9c05a7a20546f998880cb4e718428651712ec52ee"
 
 [metadata.files]
 alabaster = []
diff --git a/pyproject.toml b/pyproject.toml
index a3a6c0de..1a262c82 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -55,7 +55,7 @@ sphinx-autodoc-typehints = "^1.19.1"
 toml = "^0.10.2"
 types-pkg-resources = "^0.1.2"
 vega-datasets = "^0.9.0"
-wheel = "^0.38.4"
+wheel = "^0.37.1"
 
 [build-system]
 requires = ["poetry-core>=1.0.0"]

From 2c9cac736478893f0f8a1b99cb93f0b75a39521f Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?P=C3=A9ter=20Ferenc=20Gyarmati?= <dev.petergy@gmail.com>
Date: Thu, 10 Nov 2022 23:49:05 +0100
Subject: [PATCH 14/45] test: test `types`

cover validators
---
 draco/tests/test_types.py | 38 ++++++++++++++++++++++++++++++++++++++
 1 file changed, 38 insertions(+)
 create mode 100644 draco/tests/test_types.py

diff --git a/draco/tests/test_types.py b/draco/tests/test_types.py
new file mode 100644
index 00000000..e34b1783
--- /dev/null
+++ b/draco/tests/test_types.py
@@ -0,0 +1,38 @@
+import pytest
+
+import draco.types as draco_types
+
+
+@pytest.mark.parametrize(
+    "data, is_valid",
+    [
+        (dict(channel="x", field="temp"), True),
+        (dict(channel="x", field="temp", aggregate="mean"), True),
+        (dict(channel="x", field="temp", aggregate="count"), True),
+        (dict(channel="x", aggregate="count"), True),
+        (dict(channel="x", aggregate="mean"), False),
+    ],
+)
+def test_encoding_validator(data: dict, is_valid: bool):
+    if is_valid:
+        draco_types.Encoding(**data)
+    else:
+        with pytest.raises(ValueError):
+            draco_types.Encoding(**data)
+
+
+@pytest.mark.parametrize(
+    "data, is_valid",
+    [
+        (dict(name="temp", type="number"), True),
+        (dict(name="temp", type="number", min=-20, max=50, std=0), True),
+        (dict(name="temp", type="number", min=-20, max=50, std=0, freq=100), False),
+        (dict(name="temp", type="string", min=-20, max=50, std=0), False),
+    ],
+)
+def test_field_validator(data: dict, is_valid: bool):
+    if is_valid:
+        draco_types.Field(**data)
+    else:
+        with pytest.raises(ValueError):
+            draco_types.Field(**data)

From 1da11b66606c01be208cf684071115056185c9ef Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?P=C3=A9ter=20Ferenc=20Gyarmati?= <dev.petergy@gmail.com>
Date: Fri, 11 Nov 2022 00:16:55 +0100
Subject: [PATCH 15/45] refactor: remove unused utility method

---
 draco/utils.py | 6 ------
 1 file changed, 6 deletions(-)

diff --git a/draco/utils.py b/draco/utils.py
index 3c4b400b..b3b79c9b 100644
--- a/draco/utils.py
+++ b/draco/utils.py
@@ -3,9 +3,3 @@
 
 def dict_union(*args: dict):
     return dict(chain.from_iterable(d.items() for d in args))
-
-
-def dict_value_by_path(d: dict, path: tuple):
-    for key in path:
-        d = d[key]
-    return d

From d7a789ea18f363a1c4493fdee9e713d82578d2b8 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?P=C3=A9ter=20Ferenc=20Gyarmati?= <dev.petergy@gmail.com>
Date: Fri, 11 Nov 2022 00:33:29 +0100
Subject: [PATCH 16/45] test: increase renderer coverage

---
 draco/renderer/base_renderer.py              |   2 +-
 draco/tests/renderer/__init__.py             |   0
 draco/tests/renderer/test_altair_renderer.py | 209 +++++++++++++++++++
 3 files changed, 210 insertions(+), 1 deletion(-)
 create mode 100644 draco/tests/renderer/__init__.py
 create mode 100644 draco/tests/renderer/test_altair_renderer.py

diff --git a/draco/renderer/base_renderer.py b/draco/renderer/base_renderer.py
index f9ed5345..58109418 100644
--- a/draco/renderer/base_renderer.py
+++ b/draco/renderer/base_renderer.py
@@ -24,4 +24,4 @@ def render(self, spec: SpecificationDict, data: DataFrame) -> T:
         :param data: Data to render.
         :return: Produced visualization object of type `T`.
         """
-        raise NotImplementedError
+        raise NotImplementedError  # pragma: no cover
diff --git a/draco/tests/renderer/__init__.py b/draco/tests/renderer/__init__.py
new file mode 100644
index 00000000..e69de29b
diff --git a/draco/tests/renderer/test_altair_renderer.py b/draco/tests/renderer/test_altair_renderer.py
new file mode 100644
index 00000000..9e466a13
--- /dev/null
+++ b/draco/tests/renderer/test_altair_renderer.py
@@ -0,0 +1,209 @@
+import random
+
+import pandas as pd
+import pytest
+
+from draco.renderer import AltairRenderer
+from draco.types import SpecificationDict
+
+NUM_ROWS = 100
+df = pd.DataFrame(
+    {
+        "temperature": [random.uniform(1, 44) for _ in range(NUM_ROWS)],
+        "wind": [random.uniform(0, 100) for _ in range(NUM_ROWS)],
+        "precipitation": [random.uniform(0, 100) for _ in range(NUM_ROWS)],
+        "condition": random.choices(
+            ["drizzle", "fog", "rain", "sun", "snow"], k=NUM_ROWS
+        ),
+    }
+)
+
+
+def data(fields):
+    return {
+        "number_rows": 100,
+        "field": [
+            x
+            for x in [
+                {"name": "temperature", "type": "number"},
+                {"name": "wind", "type": "number"},
+                {"name": "precipitation", "type": "number"},
+                {"name": "condition", "type": "string"},
+            ]
+            if x["name"] in fields
+        ],
+    }
+
+
+@pytest.fixture
+def renderer():
+    return AltairRenderer()
+
+
+def vl_specs_equal(a: dict, b: dict) -> bool:
+    keys_to_remove = {"config", "datasets", "data", "$schema"}
+    for key in keys_to_remove:
+        a.pop(key, None)
+        b.pop(key, None)
+    return a == b
+
+
+def build_spec(*args):
+    dct = {}
+    for arg in args:
+        dct.update(arg)
+    return SpecificationDict.parse_obj(dct)
+
+
+# https://dig.cmu.edu/draco2/facts/examples.html#tick-plot
+tick_spec_d = build_spec(
+    data(["temperature"]),
+    {
+        "view": [
+            {
+                "mark": [
+                    {
+                        "type": "tick",
+                        "encoding": [{"channel": "x", "field": "temperature"}],
+                    }
+                ],
+                "scale": [{"channel": "x", "type": "linear"}],
+            }
+        ]
+    },
+)
+tick_spec_vl = {
+    "$schema": "https://vega.github.io/schema/vega-lite/v4.17.0.json",
+    "config": {"view": {"continuousHeight": 300, "continuousWidth": 400}},
+    "encoding": {
+        "x": {
+            "field": "temperature",
+            "scale": {"type": "linear"},
+            "type": "quantitative",
+        }
+    },
+    "mark": "tick",
+}
+
+# https://dig.cmu.edu/draco2/facts/examples.html#tick-plot-with-a-log-scale
+tick_log_spec_d = build_spec(
+    data(["temperature"]),
+    {
+        "view": [
+            {
+                "mark": [
+                    {
+                        "type": "tick",
+                        "encoding": [{"channel": "x", "field": "temperature"}],
+                    }
+                ],
+                "scale": [{"channel": "x", "type": "log"}],
+            }
+        ]
+    },
+)
+tick_log_spec_vl = {
+    "$schema": "https://vega.github.io/schema/vega-lite/v4.17.0.json",
+    "config": {"view": {"continuousHeight": 300, "continuousWidth": 400}},
+    "encoding": {
+        "x": {"field": "temperature", "scale": {"type": "log"}, "type": "quantitative"}
+    },
+    "mark": "tick",
+}
+
+# https://dig.cmu.edu/draco2/facts/examples.html#bar-chart
+bar_spec_d = build_spec(
+    data(["condition", "temperature"]),
+    {
+        "view": [
+            {
+                "coordinates": "cartesian",
+                "mark": [
+                    {
+                        "type": "bar",
+                        "encoding": [
+                            {"channel": "x", "field": "condition"},
+                            {
+                                "channel": "y",
+                                "field": "temperature",
+                                "aggregate": "mean",
+                            },
+                        ],
+                    }
+                ],
+                "scale": [
+                    {"channel": "x", "type": "ordinal"},
+                    {"channel": "y", "type": "linear", "zero": "true"},
+                ],
+            }
+        ]
+    },
+)
+bar_spec_vl = {
+    "$schema": "https://vega.github.io/schema/vega-lite/v4.17.0.json",
+    "config": {"view": {"continuousHeight": 300, "continuousWidth": 400}},
+    "encoding": {
+        "x": {"field": "condition", "scale": {"type": "ordinal"}, "type": "nominal"},
+        "y": {
+            "aggregate": "mean",
+            "field": "temperature",
+            "scale": {"type": "linear", "zero": True},
+            "type": "quantitative",
+        },
+    },
+    "mark": "bar",
+}
+
+histogram_spec_d = build_spec(
+    data(["condition"]),
+    {
+        "view": [
+            {
+                "mark": [
+                    {
+                        "type": "bar",
+                        "encoding": [
+                            {"channel": "x", "field": "condition"},
+                            {"channel": "y", "aggregate": "count"},
+                        ],
+                    }
+                ],
+                "scale": [
+                    {"channel": "x", "type": "ordinal"},
+                    {"channel": "y", "type": "linear", "zero": "true"},
+                ],
+            }
+        ]
+    },
+)
+histogram_spec_vl = {
+    "$schema": "https://vega.github.io/schema/vega-lite/v4.17.0.json",
+    "config": {"view": {"continuousHeight": 300, "continuousWidth": 400}},
+    "encoding": {
+        "x": {"field": "condition", "scale": {"type": "ordinal"}, "type": "nominal"},
+        "y": {
+            "aggregate": "count",
+            "field": "condition",
+            "scale": {"type": "linear", "zero": True},
+            "type": "nominal",
+        },
+    },
+    "mark": "bar",
+}
+
+
+@pytest.mark.parametrize(
+    "spec, expected_vl",
+    [
+        (tick_spec_d, tick_spec_vl),
+        (tick_log_spec_d, tick_log_spec_vl),
+        (bar_spec_d, bar_spec_vl),
+        # (histogram_spec_d, histogram_spec_vl),
+    ],
+)
+def test_single_view_single_mark(
+    spec: SpecificationDict, expected_vl: dict, renderer: AltairRenderer
+):
+    chart = renderer.render(spec, df)
+    vl = chart.to_dict()
+    assert vl_specs_equal(vl, expected_vl)

From 2831d86fa56123a82fe6af3bbb261b6af10a7561 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?P=C3=A9ter=20Ferenc=20Gyarmati?= <dev.petergy@gmail.com>
Date: Sat, 12 Nov 2022 13:36:01 +0100
Subject: [PATCH 17/45] chore: add `deepdiff` as dev dep

Aids VL-renderer debugging
---
 poetry.lock    | 29 ++++++++++++++++++++++++++++-
 pyproject.toml |  1 +
 2 files changed, 29 insertions(+), 1 deletion(-)

diff --git a/poetry.lock b/poetry.lock
index 6e33d305..d571ecf9 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -306,6 +306,20 @@ category = "dev"
 optional = false
 python-versions = ">=3.5"
 
+[[package]]
+name = "deepdiff"
+version = "6.2.1"
+description = "Deep Difference and Search of any Python object/data. Recreate objects by adding adding deltas to each other."
+category = "dev"
+optional = false
+python-versions = ">=3.7"
+
+[package.dependencies]
+ordered-set = ">=4.0.2,<4.2.0"
+
+[package.extras]
+cli = ["click (==8.1.3)", "pyyaml (==6.0)", "toml (==0.10.2)", "clevercsv (==0.7.4)"]
+
 [[package]]
 name = "defusedxml"
 version = "0.7.1"
@@ -1382,6 +1396,17 @@ category = "main"
 optional = false
 python-versions = ">=3.8"
 
+[[package]]
+name = "ordered-set"
+version = "4.1.0"
+description = "An OrderedSet is a custom MutableSet that remembers its order, so that every"
+category = "dev"
+optional = false
+python-versions = ">=3.7"
+
+[package.extras]
+dev = ["pytest", "black", "mypy"]
+
 [[package]]
 name = "packaging"
 version = "21.3"
@@ -2545,7 +2570,7 @@ testing = ["pytest (>=6)", "pytest-checkdocs (>=2.4)", "pytest-flake8", "flake8
 [metadata]
 lock-version = "1.1"
 python-versions = ">=3.10.0,<3.11"
-content-hash = "3c160a6de624434570bc5bd9c05a7a20546f998880cb4e718428651712ec52ee"
+content-hash = "5182e9f632f70d0dd754ea95fde40cd44d0c692b1d2eef3543f4d6e8ebd3060f"
 
 [metadata.files]
 alabaster = []
@@ -2573,6 +2598,7 @@ coverage = []
 cycler = []
 debugpy = []
 decorator = []
+deepdiff = []
 defusedxml = []
 distlib = []
 docutils = []
@@ -2644,6 +2670,7 @@ nodeenv = []
 notebook = []
 notebook-shim = []
 numpy = []
+ordered-set = []
 packaging = []
 pandas = []
 pandas-stubs = []
diff --git a/pyproject.toml b/pyproject.toml
index 1a262c82..053887c0 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -56,6 +56,7 @@ toml = "^0.10.2"
 types-pkg-resources = "^0.1.2"
 vega-datasets = "^0.9.0"
 wheel = "^0.37.1"
+deepdiff = "^6.2.1"
 
 [build-system]
 requires = ["poetry-core>=1.0.0"]

From 56926dca5c26c61b406634538a77491c8fb38f77 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?P=C3=A9ter=20Ferenc=20Gyarmati?= <dev.petergy@gmail.com>
Date: Sat, 12 Nov 2022 13:52:17 +0100
Subject: [PATCH 18/45] test: use `DeepDiff` in `vl_specs_equal`

---
 draco/tests/renderer/test_altair_renderer.py | 18 ++++++++++--------
 1 file changed, 10 insertions(+), 8 deletions(-)

diff --git a/draco/tests/renderer/test_altair_renderer.py b/draco/tests/renderer/test_altair_renderer.py
index 9e466a13..7fcd9f3f 100644
--- a/draco/tests/renderer/test_altair_renderer.py
+++ b/draco/tests/renderer/test_altair_renderer.py
@@ -2,6 +2,7 @@
 
 import pandas as pd
 import pytest
+from deepdiff import DeepDiff
 
 from draco.renderer import AltairRenderer
 from draco.types import SpecificationDict
@@ -41,11 +42,14 @@ def renderer():
 
 
 def vl_specs_equal(a: dict, b: dict) -> bool:
-    keys_to_remove = {"config", "datasets", "data", "$schema"}
-    for key in keys_to_remove:
-        a.pop(key, None)
-        b.pop(key, None)
-    return a == b
+    exclude_from_comparison = {"config", "datasets", "data", "$schema"}
+    diff = DeepDiff(
+        a,
+        b,
+        exclude_paths=exclude_from_comparison,
+        ignore_order=True,
+    )
+    return not diff
 
 
 def build_spec(*args):
@@ -183,9 +187,7 @@ def build_spec(*args):
         "x": {"field": "condition", "scale": {"type": "ordinal"}, "type": "nominal"},
         "y": {
             "aggregate": "count",
-            "field": "condition",
             "scale": {"type": "linear", "zero": True},
-            "type": "nominal",
         },
     },
     "mark": "bar",
@@ -198,7 +200,7 @@ def build_spec(*args):
         (tick_spec_d, tick_spec_vl),
         (tick_log_spec_d, tick_log_spec_vl),
         (bar_spec_d, bar_spec_vl),
-        # (histogram_spec_d, histogram_spec_vl),
+        (histogram_spec_d, histogram_spec_vl),
     ],
 )
 def test_single_view_single_mark(

From 1f1de2c7efbb1603e7e0a4d6aef7115e859eb3a4 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?P=C3=A9ter=20Ferenc=20Gyarmati?= <dev.petergy@gmail.com>
Date: Tue, 15 Nov 2022 10:55:41 +0100
Subject: [PATCH 19/45] test: single view - single mark

---
 draco/tests/renderer/test_altair_renderer.py | 170 +++++++++++++++++++
 1 file changed, 170 insertions(+)

diff --git a/draco/tests/renderer/test_altair_renderer.py b/draco/tests/renderer/test_altair_renderer.py
index 7fcd9f3f..e782a7c8 100644
--- a/draco/tests/renderer/test_altair_renderer.py
+++ b/draco/tests/renderer/test_altair_renderer.py
@@ -193,6 +193,172 @@ def build_spec(*args):
     "mark": "bar",
 }
 
+binned_histogram_spec_d = build_spec(
+    data(["temperature"]),
+    {
+        "view": [
+            {
+                "mark": [
+                    {
+                        "type": "bar",
+                        "encoding": [
+                            {"channel": "x", "field": "temperature", "binning": 10},
+                            {"channel": "y", "aggregate": "count"},
+                        ],
+                    }
+                ],
+                "scale": [
+                    {
+                        "channel": "x",
+                        "type": "linear",
+                    },
+                    {"channel": "y", "type": "linear", "zero": "true"},
+                ],
+            }
+        ]
+    },
+)
+
+binned_histogram_spec_vl = {
+    "$schema": "https://vega.github.io/schema/vega-lite/v4.17.0.json",
+    "config": {"view": {"continuousHeight": 300, "continuousWidth": 400}},
+    "encoding": {
+        "x": {
+            "bin": {"maxbins": 10},
+            "field": "temperature",
+            "scale": {"type": "linear"},
+            "type": "quantitative",
+        },
+        "y": {"aggregate": "count", "scale": {"type": "linear", "zero": True}},
+    },
+    "mark": "bar",
+}
+
+scatter_spec_d = build_spec(
+    data(["temperature", "wind"]),
+    {
+        "view": [
+            {
+                "mark": [
+                    {
+                        "type": "point",
+                        "encoding": [
+                            {"channel": "x", "field": "temperature"},
+                            {"channel": "y", "field": "wind"},
+                        ],
+                    }
+                ],
+                "scale": [
+                    {"channel": "x", "type": "linear"},
+                    {"channel": "y", "type": "linear"},
+                ],
+            }
+        ]
+    },
+)
+
+scatter_spec_vl = {
+    "$schema": "https://vega.github.io/schema/vega-lite/v4.17.0.json",
+    "config": {"view": {"continuousHeight": 300, "continuousWidth": 400}},
+    "encoding": {
+        "x": {
+            "field": "temperature",
+            "scale": {"type": "linear"},
+            "type": "quantitative",
+        },
+        "y": {"field": "wind", "scale": {"type": "linear"}, "type": "quantitative"},
+    },
+    "mark": "point",
+}
+
+scatter_with_color_spec_d = build_spec(
+    data(["temperature", "wind", "condition"]),
+    {
+        "view": [
+            {
+                "mark": [
+                    {
+                        "type": "point",
+                        "encoding": [
+                            {"channel": "x", "field": "temperature"},
+                            {"channel": "y", "field": "wind"},
+                            {"channel": "color", "field": "condition"},
+                        ],
+                    }
+                ],
+                "scale": [
+                    {"channel": "x", "type": "linear"},
+                    {"channel": "y", "type": "linear"},
+                    {"channel": "color", "type": "categorical"},
+                ],
+            }
+        ]
+    },
+)
+
+scatter_with_color_spec_vl = {
+    "$schema": "https://vega.github.io/schema/vega-lite/v4.17.0.json",
+    "config": {"view": {"continuousHeight": 300, "continuousWidth": 400}},
+    "encoding": {
+        "color": {
+            "field": "condition",
+            "scale": {"type": "ordinal"},
+            "type": "nominal",
+        },
+        "x": {
+            "field": "temperature",
+            "scale": {"type": "linear"},
+            "type": "quantitative",
+        },
+        "y": {"field": "wind", "scale": {"type": "linear"}, "type": "quantitative"},
+    },
+    "mark": "point",
+}
+
+bubble_spec_d = build_spec(
+    data(["temperature", "wind", "precipitation"]),
+    {
+        "view": [
+            {
+                "mark": [
+                    {
+                        "type": "point",
+                        "encoding": [
+                            {"channel": "x", "field": "temperature"},
+                            {"channel": "y", "field": "wind"},
+                            {"channel": "size", "field": "precipitation"},
+                        ],
+                    }
+                ],
+                "scale": [
+                    {"channel": "x", "type": "linear"},
+                    {"channel": "y", "type": "linear"},
+                    {"channel": "size", "type": "linear"},
+                ],
+            }
+        ]
+    },
+)
+
+bubble_spec_vl = {
+    "$schema": "https://vega.github.io/schema/vega-lite/v4.17.0.json",
+    "config": {"view": {"continuousHeight": 300, "continuousWidth": 400}},
+    "encoding": {
+        "size": {
+            "field": "precipitation",
+            "scale": {"type": "linear"},
+            "type": "quantitative",
+        },
+        "x": {
+            "field": "temperature",
+            "scale": {"type": "linear"},
+            "type": "quantitative",
+        },
+        "y": {"field": "wind", "scale": {"type": "linear"}, "type": "quantitative"},
+    },
+    "mark": "point",
+}
+
 
 @pytest.mark.parametrize(
     "spec, expected_vl",
@@ -201,6 +367,10 @@ def build_spec(*args):
         (tick_log_spec_d, tick_log_spec_vl),
         (bar_spec_d, bar_spec_vl),
         (histogram_spec_d, histogram_spec_vl),
+        (binned_histogram_spec_d, binned_histogram_spec_vl),
+        (scatter_spec_d, scatter_spec_vl),
+        (scatter_with_color_spec_d, scatter_with_color_spec_vl),
+        (bubble_spec_d, bubble_spec_vl),
     ],
 )
 def test_single_view_single_mark(

From d8a708987ad77cc3da361aa3c8fe371c21f7698c Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?P=C3=A9ter=20Ferenc=20Gyarmati?= <dev.petergy@gmail.com>
Date: Tue, 15 Nov 2022 11:03:37 +0100
Subject: [PATCH 20/45] test: stacked

---
 draco/tests/renderer/test_altair_renderer.py | 119 +++++++++++++++++++
 1 file changed, 119 insertions(+)

diff --git a/draco/tests/renderer/test_altair_renderer.py b/draco/tests/renderer/test_altair_renderer.py
index e782a7c8..99615deb 100644
--- a/draco/tests/renderer/test_altair_renderer.py
+++ b/draco/tests/renderer/test_altair_renderer.py
@@ -379,3 +379,122 @@ def test_single_view_single_mark(
     chart = renderer.render(spec, df)
     vl = chart.to_dict()
     assert vl_specs_equal(vl, expected_vl)
+
+
+stacked_bar_spec_d = build_spec(
+    data(["temperature", "condition"]),
+    {
+        "view": [
+            {
+                "mark": [
+                    {
+                        "type": "bar",
+                        "encoding": [
+                            {"channel": "x", "field": "temperature", "binning": 10},
+                            {"channel": "y", "aggregate": "count", "stack": "zero"},
+                            {"channel": "color", "field": "condition"},
+                        ],
+                    }
+                ],
+                "scale": [
+                    {
+                        "channel": "x",
+                        "type": "linear",
+                    },
+                    {"channel": "y", "type": "linear", "zero": "true"},
+                    {"channel": "color", "type": "categorical"},
+                ],
+            }
+        ]
+    },
+)
+
+stacked_bar_spec_vl = {
+    "$schema": "https://vega.github.io/schema/vega-lite/v4.17.0.json",
+    "config": {"view": {"continuousHeight": 300, "continuousWidth": 400}},
+    "encoding": {
+        "color": {
+            "field": "condition",
+            "type": "nominal",
+            "scale": {"type": "ordinal"},
+        },
+        "x": {
+            "bin": {"maxbins": 10},
+            "field": "temperature",
+            "scale": {"type": "linear"},
+            "type": "quantitative",
+        },
+        "y": {
+            "aggregate": "count",
+            "scale": {"type": "linear", "zero": True},
+            "stack": "zero",
+        },
+    },
+    "mark": "bar",
+}
+
+normalized_stacked_bar_spec_d = build_spec(
+    data(["temperature", "condition"]),
+    {
+        "view": [
+            {
+                "mark": [
+                    {
+                        "type": "bar",
+                        "encoding": [
+                            {
+                                "channel": "x",
+                                "aggregate": "count",
+                                "stack": "normalize",
+                            },
+                            {"channel": "y", "field": "temperature", "binning": 10},
+                            {"channel": "color", "field": "condition"},
+                        ],
+                    }
+                ],
+                "scale": [
+                    {"channel": "x", "type": "linear", "zero": "true"},
+                    {"channel": "y", "type": "linear"},
+                    {"channel": "color", "type": "categorical"},
+                ],
+            }
+        ]
+    },
+)
+
+normalized_stacked_bar_spec_vl = {
+    "$schema": "https://vega.github.io/schema/vega-lite/v4.17.0.json",
+    "config": {"view": {"continuousHeight": 300, "continuousWidth": 400}},
+    "encoding": {
+        "color": {
+            "field": "condition",
+            "type": "nominal",
+            "scale": {"type": "ordinal"},
+        },
+        "x": {
+            "aggregate": "count",
+            "scale": {"type": "linear", "zero": True},
+            "stack": "normalize",
+        },
+        "y": {
+            "bin": {"maxbins": 10},
+            "field": "temperature",
+            "scale": {"type": "linear"},
+            "type": "quantitative",
+        },
+    },
+    "mark": "bar",
+}
+
+
+@pytest.mark.parametrize(
+    "spec, expected_vl",
+    [
+        (stacked_bar_spec_d, stacked_bar_spec_vl),
+        (normalized_stacked_bar_spec_d, normalized_stacked_bar_spec_vl),
+    ],
+)
+def test_stacked(spec: SpecificationDict, expected_vl: dict, renderer: AltairRenderer):
+    chart = renderer.render(spec, df)
+    vl = chart.to_dict()
+    assert vl_specs_equal(vl, expected_vl)

From e098422ff354c7f71456f3a0534c781a3e0fcb0b Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?P=C3=A9ter=20Ferenc=20Gyarmati?= <dev.petergy@gmail.com>
Date: Tue, 15 Nov 2022 13:11:20 +0100
Subject: [PATCH 21/45] fix: handle layering properly

---
 draco/renderer/altair_renderer.py | 31 ++++++++++++++++++++++++++-----
 1 file changed, 26 insertions(+), 5 deletions(-)

diff --git a/draco/renderer/altair_renderer.py b/draco/renderer/altair_renderer.py
index e757c198..d0ed0491 100644
--- a/draco/renderer/altair_renderer.py
+++ b/draco/renderer/altair_renderer.py
@@ -21,7 +21,12 @@
 Used to abstract away the final type of the produced visualization object.
 """
 VegaLiteChart = TypeVar(
-    "VegaLiteChart", alt.VConcatChart, alt.HConcatChart, alt.FacetChart, alt.Chart
+    "VegaLiteChart",
+    alt.VConcatChart,
+    alt.HConcatChart,
+    alt.FacetChart,
+    alt.Chart,
+    alt.LayerChart,
 )
 
 
@@ -44,6 +49,7 @@ class ViewContext(RootContext):
     the dictionary-based specification at the `View` level.
     """
 
+    layers: list[VegaLiteChart]
     view: View
 
 
@@ -80,10 +86,16 @@ def render(self, spec: SpecificationDict, data: DataFrame) -> VegaLiteChart:
 
         # Traverse the specification dict and invoke the appropriate visitor
         for v in spec.view:
+            layers: list[VegaLiteChart] = []
             for m in v.mark:
                 chart = self.__visit_mark(
                     ctx=MarkContext(
-                        spec=spec, chart=chart, chart_views=chart_views, view=v, mark=m
+                        spec=spec,
+                        chart=chart,
+                        chart_views=chart_views,
+                        layers=layers,
+                        view=v,
+                        mark=m,
                     )
                 )
                 for e in m.encoding:
@@ -92,13 +104,21 @@ def render(self, spec: SpecificationDict, data: DataFrame) -> VegaLiteChart:
                             spec=spec,
                             chart=chart,
                             chart_views=chart_views,
+                            layers=layers,
                             view=v,
                             mark=m,
                             encoding=e,
                         )
                     )
+                layers.append(chart)
             chart = self.__visit_view(
-                ctx=ViewContext(spec=spec, chart=chart, chart_views=chart_views, view=v)
+                ctx=ViewContext(
+                    spec=spec,
+                    chart=chart,
+                    chart_views=chart_views,
+                    layers=layers,
+                    view=v,
+                )
             )
             chart_views.append(chart)
         return self.__visit_root(
@@ -130,7 +150,7 @@ def __visit_view(self, ctx: ViewContext) -> VegaLiteChart:
         :return: The chart with the view applied.
         :raises ValueError: if the facet channel is not supported
         """
-        view, chart = (ctx.view, ctx.chart)
+        view, chart, layers = (ctx.view, ctx.chart, ctx.layers)
         if view.facet is not None:
             for f in view.facet:
                 channel = f.channel
@@ -147,7 +167,8 @@ def __visit_view(self, ctx: ViewContext) -> VegaLiteChart:
                         chart = chart.facet(column=alt.Column(**facet_args))
                     case _:
                         raise ValueError(f"Unknown facet channel: {channel}")
-        return chart
+            return chart
+        return alt.layer(*layers) if len(layers) > 1 else layers[0]
 
     def __visit_mark(self, ctx: MarkContext) -> VegaLiteChart:
         """

From 53d47cef791448a66516af2f43ca912093c99255 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?P=C3=A9ter=20Ferenc=20Gyarmati?= <dev.petergy@gmail.com>
Date: Tue, 15 Nov 2022 13:11:45 +0100
Subject: [PATCH 22/45] test: Multi Mark (Layered)

---
 draco/tests/renderer/test_altair_renderer.py | 70 ++++++++++++++++++++
 1 file changed, 70 insertions(+)

diff --git a/draco/tests/renderer/test_altair_renderer.py b/draco/tests/renderer/test_altair_renderer.py
index 99615deb..98bebc1f 100644
--- a/draco/tests/renderer/test_altair_renderer.py
+++ b/draco/tests/renderer/test_altair_renderer.py
@@ -498,3 +498,73 @@ def test_stacked(spec: SpecificationDict, expected_vl: dict, renderer: AltairRen
     chart = renderer.render(spec, df)
     vl = chart.to_dict()
     assert vl_specs_equal(vl, expected_vl)
+
+
+bar_with_tick_spec_d = build_spec(
+    data(["temperature"]),
+    {
+        "view": [
+            {
+                "mark": [
+                    {
+                        "type": "bar",
+                        "encoding": [
+                            {
+                                "channel": "x",
+                                "aggregate": "mean",
+                                "field": "temperature",
+                            }
+                        ],
+                    },
+                    {
+                        "type": "tick",
+                        "encoding": [{"channel": "x", "field": "temperature"}],
+                    },
+                ],
+                "scale": [{"channel": "x", "type": "linear", "zero": "true"}],
+            }
+        ]
+    },
+)
+
+bar_with_tick_spec_vl = {
+    "$schema": "https://vega.github.io/schema/vega-lite/v4.17.0.json",
+    "config": {"view": {"continuousHeight": 300, "continuousWidth": 400}},
+    "layer": [
+        {
+            "encoding": {
+                "x": {
+                    "aggregate": "mean",
+                    "field": "temperature",
+                    "scale": {"type": "linear", "zero": True},
+                    "type": "quantitative",
+                }
+            },
+            "mark": "bar",
+        },
+        {
+            "encoding": {
+                "x": {
+                    "field": "temperature",
+                    "scale": {"type": "linear", "zero": True},
+                    "type": "quantitative",
+                }
+            },
+            "mark": "tick",
+        },
+    ],
+}
+
+
+@pytest.mark.parametrize(
+    "spec, expected_vl",
+    [
+        (bar_with_tick_spec_d, bar_with_tick_spec_vl),
+    ],
+)
+def test_multi_mark(
+    spec: SpecificationDict, expected_vl: dict, renderer: AltairRenderer
+):
+    chart = renderer.render(spec, df)
+    vl = chart.to_dict()
+    assert vl_specs_equal(vl, expected_vl)

From 88ef8ef00ca37e5af00ac6bf16e1a62e2c825c45 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?P=C3=A9ter=20Ferenc=20Gyarmati?= <dev.petergy@gmail.com>
Date: Tue, 15 Nov 2022 13:24:12 +0100
Subject: [PATCH 23/45] fix: type checker error thrown by unbounded generic

---
 draco/renderer/altair_renderer.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/draco/renderer/altair_renderer.py b/draco/renderer/altair_renderer.py
index d0ed0491..d92f6ea6 100644
--- a/draco/renderer/altair_renderer.py
+++ b/draco/renderer/altair_renderer.py
@@ -43,7 +43,7 @@ class RootContext(Generic[VegaLiteChart]):
 
 
 @dataclass(frozen=True)
-class ViewContext(RootContext):
+class ViewContext(RootContext[VegaLiteChart]):
     """
     Visitor callback context available when processing
     the dictionary-based specification at the `View` level.

From 7727e2547c412e3bcf18b3f6f1ee5507c9cd8ad6 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?P=C3=A9ter=20Ferenc=20Gyarmati?= <dev.petergy@gmail.com>
Date: Tue, 15 Nov 2022 13:24:20 +0100
Subject: [PATCH 24/45] test: facets

---
 draco/tests/renderer/test_altair_renderer.py | 106 +++++++++++++++++++
 1 file changed, 106 insertions(+)

diff --git a/draco/tests/renderer/test_altair_renderer.py b/draco/tests/renderer/test_altair_renderer.py
index 98bebc1f..101c0072 100644
--- a/draco/tests/renderer/test_altair_renderer.py
+++ b/draco/tests/renderer/test_altair_renderer.py
@@ -568,3 +568,109 @@ def test_multi_mark(
     chart = renderer.render(spec, df)
     vl = chart.to_dict()
     assert vl_specs_equal(vl, expected_vl)
+
+
+scatterplot_columns_spec_d = build_spec(
+    data(["temperature", "wind", "condition"]),
+    {
+        "view": [
+            {
+                "mark": [
+                    {
+                        "type": "point",
+                        "encoding": [
+                            {"channel": "x", "field": "temperature"},
+                            {"channel": "y", "field": "wind"},
+                        ],
+                    }
+                ],
+                "scale": [
+                    {"channel": "x", "type": "linear"},
+                    {"channel": "y", "type": "linear"},
+                ],
+                "facet": [
+                    {"channel": "col", "field": "condition"},
+                ],
+            }
+        ]
+    },
+)
+
+scatterplot_columns_spec_vl = {
+    "$schema": "https://vega.github.io/schema/vega-lite/v4.17.0.json",
+    "config": {"view": {"continuousHeight": 300, "continuousWidth": 400}},
+    "facet": {"column": {"field": "condition", "type": "nominal"}},
+    "spec": {
+        "encoding": {
+            "x": {
+                "field": "temperature",
+                "scale": {"type": "linear"},
+                "type": "quantitative",
+            },
+            "y": {"field": "wind", "scale": {"type": "linear"}, "type": "quantitative"},
+        },
+        "mark": "point",
+    },
+}
+
+scatterplot_columns_binned_spec_d = build_spec(
+    data(["temperature", "wind", "condition"]),
+    {
+        "view": [
+            {
+                "mark": [
+                    {
+                        "type": "point",
+                        "encoding": [
+                            {"channel": "x", "field": "condition"},
+                            {"channel": "y", "field": "wind"},
+                        ],
+                    }
+                ],
+                "scale": [
+                    {"channel": "x", "type": "ordinal"},
+                    {"channel": "y", "type": "linear"},
+                ],
+                "facet": [
+                    {"channel": "col", "field": "temperature", "binning": 10},
+                ],
+            }
+        ]
+    },
+)
+
+scatterplot_columns_binned_spec_vl = {
+    "$schema": "https://vega.github.io/schema/vega-lite/v4.17.0.json",
+    "config": {"view": {"continuousHeight": 300, "continuousWidth": 400}},
+    "facet": {
+        "column": {
+            "bin": {"maxbins": 10},
+            "field": "temperature",
+            "type": "quantitative",
+        }
+    },
+    "spec": {
+        "encoding": {
+            "x": {
+                "field": "condition",
+                "scale": {"type": "ordinal"},
+                "type": "nominal",
+            },
+            "y": {"field": "wind", "scale": {"type": "linear"}, "type": "quantitative"},
+        },
+        "mark": "point",
+    },
+}
+
+
+@pytest.mark.parametrize(
+    "spec, expected_vl",
+    [
+        (scatterplot_columns_spec_d, scatterplot_columns_spec_vl),
+        (scatterplot_columns_binned_spec_d, scatterplot_columns_binned_spec_vl),
+    ],
+)
+def test_facets(spec: SpecificationDict, expected_vl: dict, renderer: AltairRenderer):
+    chart = renderer.render(spec, df)
+    vl = chart.to_dict()
+    assert vl_specs_equal(vl, expected_vl)

From e59d9a84b4ff0a72df3a30b24c28027ddd051b12 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?P=C3=A9ter=20Ferenc=20Gyarmati?= <dev.petergy@gmail.com>
Date: Tue, 15 Nov 2022 13:36:50 +0100
Subject: [PATCH 25/45] test: multi view

---
 draco/tests/renderer/test_altair_renderer.py | 140 +++++++++++++++++++
 1 file changed, 140 insertions(+)

diff --git a/draco/tests/renderer/test_altair_renderer.py b/draco/tests/renderer/test_altair_renderer.py
index 101c0072..a47f597e 100644
--- a/draco/tests/renderer/test_altair_renderer.py
+++ b/draco/tests/renderer/test_altair_renderer.py
@@ -674,3 +674,143 @@ def test_facets(spec: SpecificationDict, expected_vl: dict, renderer: AltairRend
     chart = renderer.render(spec, df)
     vl = chart.to_dict()
     assert vl_specs_equal(vl, expected_vl)
+
+
+tick_plot_and_histogram_spec_d = build_spec(
+    data(["temperature", "condition"]),
+    {
+        "view": [
+            {
+                "mark": [
+                    {
+                        "type": "tick",
+                        "encoding": [{"channel": "y", "field": "temperature"}],
+                    }
+                ],
+                "scale": [{"channel": "y", "type": "linear", "zero": "true"}],
+            },
+            {
+                "mark": [
+                    {
+                        "type": "bar",
+                        "encoding": [
+                            {"channel": "x", "field": "condition"},
+                            {"channel": "y", "aggregate": "count"},
+                        ],
+                    }
+                ],
+                "scale": [
+                    {"channel": "x", "type": "ordinal"},
+                    {"channel": "y", "type": "linear", "zero": "true"},
+                ],
+            },
+        ]
+    },
+)
+tick_plot_and_histogram_spec_vl = {
+    "$schema": "https://vega.github.io/schema/vega-lite/v4.17.0.json",
+    "config": {"view": {"continuousHeight": 300, "continuousWidth": 400}},
+    # TODO adjust `hconcat` / `vconcat` after handling it properly in the renderer
+    "vconcat": [
+        {
+            "encoding": {
+                "y": {
+                    "field": "temperature",
+                    "scale": {"type": "linear", "zero": True},
+                    "type": "quantitative",
+                }
+            },
+            "mark": "tick",
+        },
+        {
+            "encoding": {
+                "x": {
+                    "field": "condition",
+                    "scale": {"type": "ordinal"},
+                    "type": "nominal",
+                },
+                "y": {"aggregate": "count", "scale": {"type": "linear", "zero": True}},
+            },
+            "mark": "bar",
+        },
+    ],
+}
+
+tick_plot_and_histogram_shared_scale_spec_d = build_spec(
+    data(["temperature", "condition"]),
+    {
+        "view": [
+            {
+                "mark": [
+                    {
+                        "type": "tick",
+                        "encoding": [{"channel": "y", "field": "temperature"}],
+                    }
+                ],
+            },
+            {
+                "mark": [
+                    {
+                        "type": "bar",
+                        "encoding": [
+                            {
+                                "channel": "y",
+                                "field": "temperature",
+                                "aggregate": "mean",
+                            },
+                            {"channel": "x", "field": "condition"},
+                        ],
+                    }
+                ],
+                "scale": [{"channel": "x", "type": "ordinal"}],
+            },
+        ],
+        "scale": [{"channel": "y", "type": "linear", "zero": "true"}],
+    },
+)
+
+tick_plot_and_histogram_shared_scale_spec_vl = {
+    "$schema": "https://vega.github.io/schema/vega-lite/v4.17.0.json",
+    "config": {"view": {"continuousHeight": 300, "continuousWidth": 400}},
+    # TODO adjust `hconcat` / `vconcat` after handling it properly in the renderer
+    "vconcat": [
+        {
+            "encoding": {"y": {"field": "temperature", "type": "quantitative"}},
+            "mark": "tick",
+        },
+        {
+            "encoding": {
+                "x": {
+                    "field": "condition",
+                    "type": "nominal",
+                    "scale": {"type": "ordinal"},
+                },
+                "y": {
+                    "aggregate": "mean",
+                    "field": "temperature",
+                    "type": "quantitative",
+                },
+            },
+            "mark": "bar",
+        },
+    ],
+    "resolve": {"scale": {"y": "shared"}},
+}
+
+
+@pytest.mark.parametrize(
+    "spec, expected_vl",
+    [
+        (tick_plot_and_histogram_spec_d, tick_plot_and_histogram_spec_vl),
+        (
+            tick_plot_and_histogram_shared_scale_spec_d,
+            tick_plot_and_histogram_shared_scale_spec_vl,
+        ),
+    ],
+)
+def test_multiple_views(
+    spec: SpecificationDict, expected_vl: dict, renderer: AltairRenderer
+):
+    chart = renderer.render(spec, df)
+    vl = chart.to_dict()
+    assert vl_specs_equal(vl, expected_vl)

From ebe3d78d6a889352a02cc6e84a5409f56ad2af0a Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?P=C3=A9ter=20Ferenc=20Gyarmati?= <dev.petergy@gmail.com>
Date: Tue, 15 Nov 2022 13:54:31 +0100
Subject: [PATCH 26/45] chore: do not cover unreachable code

---
 draco/renderer/altair_renderer.py | 19 +++++++++++++------
 1 file changed, 13 insertions(+), 6 deletions(-)

diff --git a/draco/renderer/altair_renderer.py b/draco/renderer/altair_renderer.py
index d92f6ea6..c6be896c 100644
--- a/draco/renderer/altair_renderer.py
+++ b/draco/renderer/altair_renderer.py
@@ -165,8 +165,11 @@ def __visit_view(self, ctx: ViewContext) -> VegaLiteChart:
                         chart = chart.facet(row=alt.Row(**facet_args))
                     case "col":
                         chart = chart.facet(column=alt.Column(**facet_args))
-                    case _:
-                        raise ValueError(f"Unknown facet channel: {channel}")
+                    # Should never happen, a pydantic error would be raised sooner
+                    case _:  # pragma: no cover
+                        raise ValueError(
+                            f"Unknown facet channel: {channel}"
+                        )  # pragma: no cover
             return chart
         return alt.layer(*layers) if len(layers) > 1 else layers[0]
 
@@ -195,8 +198,9 @@ def __visit_mark(self, ctx: MarkContext) -> VegaLiteChart:
                 return chart.mark_tick()
             case "rect":
                 return chart.mark_rect()
-            case _:
-                raise ValueError(f"Unknown mark type: {mark_type}")
+                # Should never happen, a pydantic error would be raised sooner
+            case _:  # pragma: no cover
+                raise ValueError(f"Unknown mark type: {mark_type}")  # pragma: no cover
 
     def __visit_encoding(self, ctx: EncodingContext) -> VegaLiteChart:
         """
@@ -239,8 +243,11 @@ def __visit_encoding(self, ctx: EncodingContext) -> VegaLiteChart:
                 return chart.encode(shape=alt.Shape(**encoding_args))
             case "text":
                 return chart.encode(text=alt.Text(**encoding_args))
-            case _:
-                raise ValueError(f"Unknown channel: {encoding.channel}")
+                # Should never happen, a pydantic error would be raised sooner
+            case _:  # pragma: no cover
+                raise ValueError(
+                    f"Unknown channel: {encoding.channel}"
+                )  # pragma: no cover
 
     def __get_field_type(self, fields: list[Field], field_name: FieldName) -> str:
         """

From ea26fe76683be817dc3037da5ce6e013864aee51 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?P=C3=A9ter=20Ferenc=20Gyarmati?= <dev.petergy@gmail.com>
Date: Tue, 15 Nov 2022 13:54:54 +0100
Subject: [PATCH 27/45] test: unknown field in spec raises

---
 draco/tests/renderer/test_altair_renderer.py | 21 ++++++++++++++++++++
 1 file changed, 21 insertions(+)

diff --git a/draco/tests/renderer/test_altair_renderer.py b/draco/tests/renderer/test_altair_renderer.py
index a47f597e..c68b3cea 100644
--- a/draco/tests/renderer/test_altair_renderer.py
+++ b/draco/tests/renderer/test_altair_renderer.py
@@ -814,3 +814,24 @@ def test_multiple_views(
     chart = renderer.render(spec, df)
     vl = chart.to_dict()
     assert vl_specs_equal(vl, expected_vl)
+
+
+def test_unknown_field_raises_value_error(renderer: AltairRenderer):
+    spec = build_spec(
+        data(["temperature"]),
+        {
+            "view": [
+                {
+                    "mark": [
+                        {
+                            "type": "tick",
+                            "encoding": [{"channel": "x", "field": "not-temperature"}],
+                        }
+                    ],
+                    "scale": [{"channel": "x", "type": "linear"}],
+                }
+            ]
+        },
+    )
+    with pytest.raises(ValueError):
+        renderer.render(spec, df)

From cc802f6a6bf7872713ecb101f137fc154ab5b8ea Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?P=C3=A9ter=20Ferenc=20Gyarmati?= <dev.petergy@gmail.com>
Date: Tue, 15 Nov 2022 20:45:46 +0100
Subject: [PATCH 28/45] test: cover all marks and encodings

---
 draco/tests/renderer/test_altair_renderer.py | 107 +++++++++++++++++--
 1 file changed, 96 insertions(+), 11 deletions(-)

diff --git a/draco/tests/renderer/test_altair_renderer.py b/draco/tests/renderer/test_altair_renderer.py
index c68b3cea..574235b2 100644
--- a/draco/tests/renderer/test_altair_renderer.py
+++ b/draco/tests/renderer/test_altair_renderer.py
@@ -5,7 +5,7 @@
 from deepdiff import DeepDiff
 
 from draco.renderer import AltairRenderer
-from draco.types import SpecificationDict
+from draco.types import MarkType, SpecificationDict
 
 NUM_ROWS = 100
 df = pd.DataFrame(
@@ -59,6 +59,44 @@ def build_spec(*args):
     return SpecificationDict.parse_obj(dct)
 
 
+def specs_with_mark(mark: MarkType):
+    spec_d = build_spec(
+        data(["temperature", "wind", "condition"]),
+        {
+            "view": [
+                {
+                    "mark": [
+                        {
+                            "type": mark,
+                            "encoding": [
+                                {"channel": "x", "field": "temperature"},
+                                {"channel": "shape", "field": "condition"},
+                                {"channel": "text", "field": "wind"},
+                            ],
+                        }
+                    ],
+                    "scale": [{"channel": "x", "type": "linear"}],
+                }
+            ]
+        },
+    )
+    spec_vl = {
+        "$schema": "https://vega.github.io/schema/vega-lite/v4.17.0.json",
+        "config": {"view": {"continuousHeight": 300, "continuousWidth": 400}},
+        "encoding": {
+            "x": {
+                "field": "temperature",
+                "scale": {"type": "linear"},
+                "type": "quantitative",
+            },
+            "shape": {"field": "condition", "type": "nominal"},
+            "text": {"field": "wind", "type": "quantitative"},
+        },
+        "mark": mark,
+    }
+    return spec_d, spec_vl
+
+
 # https://dig.cmu.edu/draco2/facts/examples.html#tick-plot
 tick_spec_d = build_spec(
     data(["temperature"]),
@@ -158,6 +196,7 @@ def build_spec(*args):
     "mark": "bar",
 }
 
+# https://dig.cmu.edu/draco2/facts/examples.html#histogram
 histogram_spec_d = build_spec(
     data(["condition"]),
     {
@@ -193,6 +232,7 @@ def build_spec(*args):
     "mark": "bar",
 }
 
+# https://dig.cmu.edu/draco2/facts/examples.html#binned-histogram
 binned_histogram_spec_d = build_spec(
     data(["temperature"]),
     {
@@ -218,7 +258,6 @@ def build_spec(*args):
         ]
     },
 )
-
 binned_histogram_spec_vl = {
     "$schema": "https://vega.github.io/schema/vega-lite/v4.17.0.json",
     "config": {"view": {"continuousHeight": 300, "continuousWidth": 400}},
@@ -234,6 +273,7 @@ def build_spec(*args):
     "mark": "bar",
 }
 
+# https://dig.cmu.edu/draco2/facts/examples.html#scatterplot
 scatter_spec_d = build_spec(
     data(["temperature", "wind"]),
     {
@@ -256,7 +296,6 @@ def build_spec(*args):
         ]
     },
 )
-
 scatter_spec_vl = {
     "$schema": "https://vega.github.io/schema/vega-lite/v4.17.0.json",
     "config": {"view": {"continuousHeight": 300, "continuousWidth": 400}},
@@ -271,6 +310,7 @@ def build_spec(*args):
     "mark": "point",
 }
 
+# https://dig.cmu.edu/draco2/facts/examples.html#scatterplot-with-color
 scatter_with_color_spec_d = build_spec(
     data(["temperature", "wind", "condition"]),
     {
@@ -295,7 +335,6 @@ def build_spec(*args):
         ]
     },
 )
-
 scatter_with_color_spec_vl = {
     "$schema": "https://vega.github.io/schema/vega-lite/v4.17.0.json",
     "config": {"view": {"continuousHeight": 300, "continuousWidth": 400}},
@@ -315,6 +354,7 @@ def build_spec(*args):
     "mark": "point",
 }
 
+# https://dig.cmu.edu/draco2/facts/examples.html#bubble-chart
 bubble_spec_d = build_spec(
     data(["temperature", "wind", "precipitation"]),
     {
@@ -339,7 +379,6 @@ def build_spec(*args):
         ]
     },
 )
-
 bubble_spec_vl = {
     "$schema": "https://vega.github.io/schema/vega-lite/v4.17.0.json",
     "config": {"view": {"continuousHeight": 300, "continuousWidth": 400}},
@@ -371,6 +410,8 @@ def build_spec(*args):
         (scatter_spec_d, scatter_spec_vl),
         (scatter_with_color_spec_d, scatter_with_color_spec_vl),
         (bubble_spec_d, bubble_spec_vl),
+        # Dummy specs for coverage
+        *list(map(specs_with_mark, ["line", "area", "text", "tick", "rect"])),
     ],
 )
 def test_single_view_single_mark(
@@ -381,6 +422,7 @@ def test_single_view_single_mark(
     assert vl_specs_equal(vl, expected_vl)
 
 
+# https://dig.cmu.edu/draco2/facts/examples.html#stacked-bar-chart
 stacked_bar_spec_d = build_spec(
     data(["temperature", "condition"]),
     {
@@ -408,7 +450,6 @@ def test_single_view_single_mark(
         ]
     },
 )
-
 stacked_bar_spec_vl = {
     "$schema": "https://vega.github.io/schema/vega-lite/v4.17.0.json",
     "config": {"view": {"continuousHeight": 300, "continuousWidth": 400}},
@@ -433,6 +474,7 @@ def test_single_view_single_mark(
     "mark": "bar",
 }
 
+# https://dig.cmu.edu/draco2/facts/examples.html#normalized-percentage-stacked-bar-chart
 normalized_stacked_bar_spec_d = build_spec(
     data(["temperature", "condition"]),
     {
@@ -461,7 +503,6 @@ def test_single_view_single_mark(
         ]
     },
 )
-
 normalized_stacked_bar_spec_vl = {
     "$schema": "https://vega.github.io/schema/vega-lite/v4.17.0.json",
     "config": {"view": {"continuousHeight": 300, "continuousWidth": 400}},
@@ -500,6 +541,7 @@ def test_stacked(spec: SpecificationDict, expected_vl: dict, renderer: AltairRen
     assert vl_specs_equal(vl, expected_vl)
 
 
+# https://dig.cmu.edu/draco2/facts/examples.html#bar-with-a-tick
 bar_with_tick_spec_d = build_spec(
     data(["temperature"]),
     {
@@ -526,7 +568,6 @@ def test_stacked(spec: SpecificationDict, expected_vl: dict, renderer: AltairRen
         ]
     },
 )
-
 bar_with_tick_spec_vl = {
     "$schema": "https://vega.github.io/schema/vega-lite/v4.17.0.json",
     "config": {"view": {"continuousHeight": 300, "continuousWidth": 400}},
@@ -570,6 +611,7 @@ def test_multi_mark(
     assert vl_specs_equal(vl, expected_vl)
 
 
+# https://dig.cmu.edu/draco2/facts/examples.html#facet-scatterplot-into-columns
 scatterplot_columns_spec_d = build_spec(
     data(["temperature", "wind", "condition"]),
     {
@@ -595,7 +637,6 @@ def test_multi_mark(
         ]
     },
 )
-
 scatterplot_columns_spec_vl = {
     "$schema": "https://vega.github.io/schema/vega-lite/v4.17.0.json",
     "config": {"view": {"continuousHeight": 300, "continuousWidth": 400}},
@@ -613,6 +654,49 @@ def test_multi_mark(
     },
 }
 
+scatterplot_rows_spec_d = build_spec(
+    data(["temperature", "wind", "condition"]),
+    {
+        "view": [
+            {
+                "mark": [
+                    {
+                        "type": "point",
+                        "encoding": [
+                            {"channel": "x", "field": "temperature"},
+                            {"channel": "y", "field": "wind"},
+                        ],
+                    }
+                ],
+                "scale": [
+                    {"channel": "x", "type": "linear"},
+                    {"channel": "y", "type": "linear"},
+                ],
+                "facet": [
+                    {"channel": "row", "field": "condition"},
+                ],
+            }
+        ]
+    },
+)
+scatterplot_rows_spec_vl = {
+    "$schema": "https://vega.github.io/schema/vega-lite/v4.17.0.json",
+    "config": {"view": {"continuousHeight": 300, "continuousWidth": 400}},
+    "facet": {"row": {"field": "condition", "type": "nominal"}},
+    "spec": {
+        "encoding": {
+            "x": {
+                "field": "temperature",
+                "scale": {"type": "linear"},
+                "type": "quantitative",
+            },
+            "y": {"field": "wind", "scale": {"type": "linear"}, "type": "quantitative"},
+        },
+        "mark": "point",
+    },
+}
+
+# https://dig.cmu.edu/draco2/facts/examples.html#facet-scatterplot-by-binned-data-into-columns
 scatterplot_columns_binned_spec_d = build_spec(
     data(["temperature", "wind", "condition"]),
     {
@@ -638,7 +722,6 @@ def test_multi_mark(
         ]
     },
 )
-
 scatterplot_columns_binned_spec_vl = {
     "$schema": "https://vega.github.io/schema/vega-lite/v4.17.0.json",
     "config": {"view": {"continuousHeight": 300, "continuousWidth": 400}},
@@ -667,6 +750,7 @@ def test_multi_mark(
     "spec, expected_vl",
     [
         (scatterplot_columns_spec_d, scatterplot_columns_spec_vl),
+        (scatterplot_rows_spec_d, scatterplot_rows_spec_vl),
         (scatterplot_columns_binned_spec_d, scatterplot_columns_binned_spec_vl),
     ],
 )
@@ -676,6 +760,7 @@ def test_facets(spec: SpecificationDict, expected_vl: dict, renderer: AltairRend
     assert vl_specs_equal(vl, expected_vl)
 
 
+# https://dig.cmu.edu/draco2/facts/examples.html#tick-plot-and-histogram
 tick_plot_and_histogram_spec_d = build_spec(
     data(["temperature", "condition"]),
     {
@@ -736,6 +821,7 @@ def test_facets(spec: SpecificationDict, expected_vl: dict, renderer: AltairRend
     ],
 }
 
+# https://dig.cmu.edu/draco2/facts/examples.html#tick-plot-and-histogram-with-shared-y-scale
 tick_plot_and_histogram_shared_scale_spec_d = build_spec(
     data(["temperature", "condition"]),
     {
@@ -768,7 +854,6 @@ def test_facets(spec: SpecificationDict, expected_vl: dict, renderer: AltairRend
         "scale": [{"channel": "y", "type": "linear", "zero": "true"}],
     },
 )
-
 tick_plot_and_histogram_shared_scale_spec_vl = {
     "$schema": "https://vega.github.io/schema/vega-lite/v4.17.0.json",
     "config": {"view": {"continuousHeight": 300, "continuousWidth": 400}},

From bcaa8fec045c4b052f90d4b63974d2e1ee38a2a2 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?P=C3=A9ter=20Ferenc=20Gyarmati?= <dev.petergy@gmail.com>
Date: Fri, 18 Nov 2022 16:26:51 +0100
Subject: [PATCH 29/45] feat: validate polar marks in schema

---
 draco/types.py | 13 +++++++++++++
 1 file changed, 13 insertions(+)

diff --git a/draco/types.py b/draco/types.py
index a02f1632..c85c9720 100644
--- a/draco/types.py
+++ b/draco/types.py
@@ -236,6 +236,19 @@ class View(SchemaBase):
     scale: list[Scale] | None = None
     facet: list[Facet] | None = None
 
+    __SUPPORTED_POLAR_MARKS__ = {"bar"}
+
+    @pydantic_validators.root_validator(pre=True)
+    def check_polar_mark(cls, values: dict):
+        if values.get("coordinates", "cartesian") == "polar":
+            for mark in values.get("mark", []):
+                if mark.get("type", None) not in cls.__SUPPORTED_POLAR_MARKS__:
+                    raise ValueError(
+                        f"polar coordinates only support "
+                        f"{cls.__SUPPORTED_POLAR_MARKS__} marks"
+                    )
+        return values
+
 
 class Field(SchemaBase):
     """

From 092505500792231d276ee99252d5c053b8b56bb4 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?P=C3=A9ter=20Ferenc=20Gyarmati?= <dev.petergy@gmail.com>
Date: Fri, 18 Nov 2022 16:27:21 +0100
Subject: [PATCH 30/45] test: polar mark validator

---
 draco/tests/test_types.py | 43 +++++++++++++++++++++++++++++++++++++++
 1 file changed, 43 insertions(+)

diff --git a/draco/tests/test_types.py b/draco/tests/test_types.py
index e34b1783..a12645f7 100644
--- a/draco/tests/test_types.py
+++ b/draco/tests/test_types.py
@@ -36,3 +36,46 @@ def test_field_validator(data: dict, is_valid: bool):
     else:
         with pytest.raises(ValueError):
             draco_types.Field(**data)
+
+
+@pytest.mark.parametrize(
+    "data, is_valid",
+    [
+        *[
+            (
+                dict(
+                    coordinates="cartesian",
+                    mark=[dict(type=t, encoding=[dict(channel="x", field="temp")])],
+                ),
+                True,
+            )
+            for t in ["point", "bar", "line", "area", "text", "tick", "rect"]
+        ],
+        *[
+            (
+                dict(
+                    coordinates="polar",
+                    mark=[dict(type=t, encoding=[dict(channel="x", field="temp")])],
+                ),
+                False,
+            )
+            for t in ["point", "line", "area", "text", "tick", "rect"]
+        ],
+        *[
+            (
+                dict(
+                    coordinates="polar",
+                    mark=[dict(type=t, encoding=[dict(channel="x", field="temp")])],
+                ),
+                True,
+            )
+            for t in ["bar"]
+        ],
+    ],
+)
+def test_view_validator(data: dict, is_valid: bool):
+    if is_valid:
+        draco_types.View(**data)
+    else:
+        with pytest.raises(ValueError):
+            draco_types.View(**data)

From 1d972e0267da053216495f845e50254f9abbafb0 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?P=C3=A9ter=20Ferenc=20Gyarmati?= <dev.petergy@gmail.com>
Date: Fri, 18 Nov 2022 16:56:24 +0100
Subject: [PATCH 31/45] feat: validate polar encodings in schema

---
 draco/types.py | 12 +++++++++++-
 1 file changed, 11 insertions(+), 1 deletion(-)

diff --git a/draco/types.py b/draco/types.py
index c85c9720..c30ff3a2 100644
--- a/draco/types.py
+++ b/draco/types.py
@@ -237,9 +237,10 @@ class View(SchemaBase):
     facet: list[Facet] | None = None
 
     __SUPPORTED_POLAR_MARKS__ = {"bar"}
+    __SUPPORTED_POLAR_ENCODINGS__ = {"x", "y", "color"}
 
     @pydantic_validators.root_validator(pre=True)
-    def check_polar_mark(cls, values: dict):
+    def check_polar_mark_and_encoding(cls, values: dict):
         if values.get("coordinates", "cartesian") == "polar":
             for mark in values.get("mark", []):
                 if mark.get("type", None) not in cls.__SUPPORTED_POLAR_MARKS__:
@@ -247,6 +248,15 @@ def check_polar_mark(cls, values: dict):
                         f"polar coordinates only support "
                         f"{cls.__SUPPORTED_POLAR_MARKS__} marks"
                     )
+                for encoding in mark.get("encoding", []):
+                    if (
+                        encoding.get("channel", None)
+                        not in cls.__SUPPORTED_POLAR_ENCODINGS__
+                    ):
+                        raise ValueError(
+                            f"polar coordinates only support "
+                            f"{cls.__SUPPORTED_POLAR_ENCODINGS__} encodings"
+                        )
         return values
 
 

From 8910c7a5e76917112fe34702a473429c950d5678 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?P=C3=A9ter=20Ferenc=20Gyarmati?= <dev.petergy@gmail.com>
Date: Fri, 18 Nov 2022 16:56:36 +0100
Subject: [PATCH 32/45] test: polar encoding validator

---
 draco/tests/test_types.py | 25 +++++++++++++++++++++++++
 1 file changed, 25 insertions(+)

diff --git a/draco/tests/test_types.py b/draco/tests/test_types.py
index a12645f7..d4af2062 100644
--- a/draco/tests/test_types.py
+++ b/draco/tests/test_types.py
@@ -41,6 +41,7 @@ def test_field_validator(data: dict, is_valid: bool):
 @pytest.mark.parametrize(
     "data, is_valid",
     [
+        # Cartesian - valid
         *[
             (
                 dict(
@@ -51,6 +52,7 @@ def test_field_validator(data: dict, is_valid: bool):
             )
             for t in ["point", "bar", "line", "area", "text", "tick", "rect"]
         ],
+        # Polar - invalid mark, valid encoding
         *[
             (
                 dict(
@@ -61,6 +63,7 @@ def test_field_validator(data: dict, is_valid: bool):
             )
             for t in ["point", "line", "area", "text", "tick", "rect"]
         ],
+        # Polar - valid mark, valid encoding
         *[
             (
                 dict(
@@ -71,6 +74,28 @@ def test_field_validator(data: dict, is_valid: bool):
             )
             for t in ["bar"]
         ],
+        # Polar - valid mark, invalid encoding
+        *[
+            (
+                dict(
+                    coordinates="polar",
+                    mark=[dict(type="bar", encoding=[dict(channel=c, field="temp")])],
+                ),
+                False,
+            )
+            for c in ["size", "shape", "text"]
+        ],
+        # Polar - valid mark, valid encoding
+        *[
+            (
+                dict(
+                    coordinates="polar",
+                    mark=[dict(type="bar", encoding=[dict(channel=c, field="temp")])],
+                ),
+                True,
+            )
+            for c in ["x", "y", "color"]
+        ],
     ],
 )
 def test_view_validator(data: dict, is_valid: bool):

From 94dc9e9cb896c6aa29acb67fd1344ca7083c034d Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?P=C3=A9ter=20Ferenc=20Gyarmati?= <dev.petergy@gmail.com>
Date: Fri, 18 Nov 2022 18:29:43 +0100
Subject: [PATCH 33/45] feat: support rendering polar charts

---
 draco/renderer/altair_renderer.py | 121 ++++++++++++++++++++++++++++++
 1 file changed, 121 insertions(+)

diff --git a/draco/renderer/altair_renderer.py b/draco/renderer/altair_renderer.py
index c6be896c..9a3bbced 100644
--- a/draco/renderer/altair_renderer.py
+++ b/draco/renderer/altair_renderer.py
@@ -178,6 +178,27 @@ def __visit_mark(self, ctx: MarkContext) -> VegaLiteChart:
         Handles mark-specific configuration.
         Responsible for applying the mark type to the chart.
 
+        :param ctx: The current visitor context.
+        :return: The chart with the mark applied.
+        :raises ValueError: if the coordinate type is not supported
+        """
+        coord = ctx.view.coordinates
+        match coord:
+            case "cartesian":
+                return self.__visit_mark_cartesian(ctx)
+            case "polar":
+                return self.__visit_mark_polar(ctx)
+            # Should never happen, a pydantic error would be raised sooner
+            case _:  # pragma: no cover
+                raise ValueError(
+                    f"Unknown coordinate type: {coord}"
+                )  # pragma: no cover
+
+    def __visit_mark_cartesian(self, ctx: MarkContext) -> VegaLiteChart:
+        """
+        Handles mark-specific configuration.
+        Responsible for applying the mark type to a chart in cartesian coordinates.
+
         :param ctx: The current visitor context.
         :return: The chart with the mark applied.
         :raises ValueError: if the mark type is not supported
@@ -202,11 +223,55 @@ def __visit_mark(self, ctx: MarkContext) -> VegaLiteChart:
             case _:  # pragma: no cover
                 raise ValueError(f"Unknown mark type: {mark_type}")  # pragma: no cover
 
+    def __visit_mark_polar(self, ctx: MarkContext) -> VegaLiteChart:
+        """
+        Handles mark-specific configuration.
+        Responsible for applying the mark type to a chart in polar coordinates.
+
+        :param ctx: The current visitor context.
+        :return: The chart with the mark applied.
+        :raises ValueError: if the mark type is not supported
+        """
+        chart, encodings, mark_type = (ctx.chart, ctx.mark.encoding, ctx.mark.type)
+        match mark_type:
+            case "bar":
+                encodes_x_and_y = all([e.channel in ["x", "y"] for e in encodings])
+                if encodes_x_and_y:
+                    return chart.mark_arc(stroke="#ffffff") + chart.mark_text(
+                        radiusOffset=15
+                    )
+                else:
+                    return chart.mark_arc()
+                # Should never happen, a pydantic error would be raised sooner
+            case _:  # pragma: no cover
+                raise ValueError(f"Unknown mark type: {mark_type}")  # pragma: no cover
+
     def __visit_encoding(self, ctx: EncodingContext) -> VegaLiteChart:
         """
         Handles encoding-specific configuration.
         Responsible for applying the encoding to the chart.
 
+        :param ctx: The current visitor context.
+        :return: The updated chart.
+        :raises ValueError: If an unknown encoding channel is encountered.
+        """
+        coord = ctx.view.coordinates
+        match coord:
+            case "cartesian":
+                return self.__visit_encoding_cartesian(ctx)
+            case "polar":
+                return self.__visit_encoding_polar(ctx)
+                # Should never happen, a pydantic error would be raised sooner
+            case _:  # pragma: no cover
+                raise ValueError(
+                    f"Unknown coordinate type: {coord}"
+                )  # pragma: no cover
+
+    def __visit_encoding_cartesian(self, ctx: EncodingContext) -> VegaLiteChart:
+        """
+        Handles encoding-specific configuration.
+        Responsible for applying the encoding to a chart in cartesian coordinates.
+
         :param ctx: The current visitor context.
         :return: The updated chart.
         :raises ValueError: If an unknown encoding channel is encountered.
@@ -249,6 +314,62 @@ def __visit_encoding(self, ctx: EncodingContext) -> VegaLiteChart:
                     f"Unknown channel: {encoding.channel}"
                 )  # pragma: no cover
 
+    def __visit_encoding_polar(self, ctx: EncodingContext) -> VegaLiteChart:
+        """
+        Handles encoding-specific configuration.
+        Responsible for applying the encoding to a chart in polar coordinates.
+
+        :param ctx: The current visitor context.
+        :return: The updated chart.
+        :raises ValueError: If an unknown encoding channel is encountered.
+        """
+        spec, chart, view, encoding, encodings = (
+            ctx.spec,
+            ctx.chart,
+            ctx.view,
+            ctx.encoding,
+            ctx.mark.encoding,
+        )
+        encodes_x_and_y = all([e.channel in ["x", "y"] for e in encodings])
+
+        custom_args = {}
+        if encoding.field is not None:
+            custom_args["field"] = encoding.field
+            custom_args["type"] = self.__get_field_type(spec.field, encoding.field)
+
+        if view.scale is not None:
+            scale_or_none = self.__get_scale_for_encoding(encoding.channel, view.scale)
+            if scale_or_none is not None:
+                custom_args["scale"] = scale_or_none
+
+        encoding_args = (
+            encoding.dict(
+                exclude_none=True, exclude={"channel", "field", "binning", "scale"}
+            )
+            | custom_args
+        )
+
+        match encoding.channel:
+            case "x":
+                return chart.encode(
+                    theta=alt.Theta(**encoding_args),
+                    text=alt.Text(
+                        field=encoding_args["field"], type=encoding_args["type"]
+                    ),
+                )
+            case "y":
+                if encodes_x_and_y:
+                    return chart.encode(radius=alt.Radius(**encoding_args))
+                else:
+                    return chart.encode(theta=alt.Theta(**encoding_args))
+            case "color":
+                return chart.encode(color=alt.Color(**encoding_args))
+                # Should never happen, a pydantic error would be raised sooner
+            case _:  # pragma: no cover
+                raise ValueError(
+                    f"Unknown channel: {encoding.channel}"
+                )  # pragma: no cover
+
     def __get_field_type(self, fields: list[Field], field_name: FieldName) -> str:
         """
         Returns the type of the field with the given name.

From ea7e7a753d628a59e730413730cc6029afcb46c1 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?P=C3=A9ter=20Ferenc=20Gyarmati?= <dev.petergy@gmail.com>
Date: Fri, 18 Nov 2022 18:29:50 +0100
Subject: [PATCH 34/45] test: polar charts

---
 draco/tests/renderer/test_altair_renderer.py | 113 +++++++++++++++++++
 1 file changed, 113 insertions(+)

diff --git a/draco/tests/renderer/test_altair_renderer.py b/draco/tests/renderer/test_altair_renderer.py
index 574235b2..d47bc65d 100644
--- a/draco/tests/renderer/test_altair_renderer.py
+++ b/draco/tests/renderer/test_altair_renderer.py
@@ -920,3 +920,116 @@ def test_unknown_field_raises_value_error(renderer: AltairRenderer):
     )
     with pytest.raises(ValueError):
         renderer.render(spec, df)
+
+
+# https://dig.cmu.edu/draco2/facts/examples.html#pie-chart
+polar_pie_chart_spec_d = build_spec(
+    data(["condition", "temperature"]),
+    {
+        "view": [
+            {
+                "coordinates": "polar",
+                "mark": [
+                    {
+                        "type": "bar",
+                        "encoding": [
+                            {
+                                "channel": "y",
+                                "aggregate": "count",
+                                "stack": "zero",
+                            },
+                            {"channel": "color", "field": "condition"},
+                        ],
+                    }
+                ],
+                "scale": [
+                    {"channel": "y", "type": "linear", "zero": "true"},
+                    {"channel": "color", "type": "categorical"},
+                ],
+            }
+        ]
+    },
+)
+polar_pie_chart_spec_vl = {
+    "$schema": "https://vega.github.io/schema/vega-lite/v4.17.0.json",
+    "config": {"view": {"continuousHeight": 300, "continuousWidth": 400}},
+    "encoding": {
+        "color": {
+            "field": "condition",
+            "scale": {"type": "ordinal"},
+            "type": "nominal",
+        },
+        "theta": {
+            "aggregate": "count",
+            "scale": {"type": "linear", "zero": True},
+            "stack": "zero",
+        },
+    },
+    "mark": "arc",
+}
+
+# https://dig.cmu.edu/draco2/facts/examples.html#radial-chart
+polar_radial_chart_spec_d = build_spec(
+    data(["condition", "temperature"]),
+    {
+        "view": [
+            {
+                "coordinates": "polar",
+                "mark": [
+                    {
+                        "type": "bar",
+                        "encoding": [
+                            {"channel": "x", "field": "condition"},
+                            {
+                                "channel": "y",
+                                "field": "temperature",
+                                "aggregate": "mean",
+                            },
+                        ],
+                    }
+                ],
+                "scale": [
+                    {"channel": "x", "type": "ordinal"},
+                    {"channel": "y", "type": "linear", "zero": "true"},
+                ],
+            }
+        ]
+    },
+)
+polar_radial_chart_spec_vl = {
+    "$schema": "https://vega.github.io/schema/vega-lite/v4.17.0.json",
+    "config": {
+        "view": {"continuousHeight": 300, "continuousWidth": 400},
+    },
+    "encoding": {
+        "radius": {
+            "aggregate": "mean",
+            "field": "temperature",
+            "type": "quantitative",
+            "scale": {"type": "linear", "zero": True},
+        },
+        "text": {"field": "condition", "type": "nominal"},
+        "theta": {
+            "field": "condition",
+            "type": "nominal",
+            "scale": {"type": "ordinal"},
+        },
+    },
+    "layer": [
+        {"mark": {"type": "arc", "stroke": "#ffffff"}},
+        {"mark": {"radiusOffset": 15, "type": "text"}},
+    ],
+}
+
+
+@pytest.mark.parametrize(
+    "spec, expected_vl",
+    [
+        (polar_pie_chart_spec_d, polar_pie_chart_spec_vl),
+        (polar_radial_chart_spec_d, polar_radial_chart_spec_vl),
+    ],
+)
+def test_polar(spec: SpecificationDict, expected_vl: dict, renderer: AltairRenderer):
+    chart = renderer.render(spec, df)
+    vl = chart.to_dict()
+    assert vl_specs_equal(vl, expected_vl)

From bb7547a7adfa384ad6bf9d71baf66afbb20cd6bc Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?P=C3=A9ter=20Ferenc=20Gyarmati?= <dev.petergy@gmail.com>
Date: Fri, 18 Nov 2022 18:51:30 +0100
Subject: [PATCH 35/45] feat: handle multi views

Support on-demand concats
---
 draco/renderer/altair_renderer.py | 26 ++++++++++++++++++++++++--
 1 file changed, 24 insertions(+), 2 deletions(-)

diff --git a/draco/renderer/altair_renderer.py b/draco/renderer/altair_renderer.py
index 9a3bbced..3fe1ef4e 100644
--- a/draco/renderer/altair_renderer.py
+++ b/draco/renderer/altair_renderer.py
@@ -1,5 +1,6 @@
+import logging
 from dataclasses import dataclass
-from typing import Generic, TypeVar
+from typing import Generic, Literal, TypeVar
 
 import altair as alt
 from pandas import DataFrame
@@ -16,6 +17,8 @@
 )
 from .base_renderer import BaseRenderer
 
+logger = logging.getLogger(__name__)
+
 """
 Generic parameter for the type of the produced visualization object.
 Used to abstract away the final type of the produced visualization object.
@@ -79,6 +82,16 @@ class AltairRenderer(BaseRenderer[VegaLiteChart]):
     represented as an `Altair <https://altair-viz.github.io/>`_ chart object.
     """
 
+    def __init__(self, concat_mode: Literal["hconcat", "vconcat"] | None = None):
+        """
+        Instantiates a new `Altair <https://altair-viz.github.io/>`-based renderer.
+
+        :param concat_mode: The concatenation mode to use
+                            when concatenating multiple views.
+                            Only the first view is returned if `None`.
+        """
+        self.concat_mode = concat_mode
+
     def render(self, spec: SpecificationDict, data: DataFrame) -> VegaLiteChart:
         # initial chart to be mutated by the visitor callbacks
         chart = alt.Chart(data)
@@ -134,7 +147,16 @@ def __visit_root(self, ctx: RootContext) -> VegaLiteChart:
         :return: The chart with the root configuration applied.
         """
         views = ctx.chart_views
-        chart = len(views) > 1 and alt.vconcat(*views) or views[0]
+        chart = views[0]
+        if len(views) > 1 and self.concat_mode is not None:
+            chart = getattr(alt, self.concat_mode)(*views)
+        else:
+            logger.log(
+                level=logging.WARNING,
+                msg="No concatenation performed on multiple views. "
+                "Returning the first view.",
+            )
+
         if ctx.spec.scale is not None:
             channels = [s.channel for s in ctx.spec.scale]
             resolve_scale_args = {c: "shared" for c in channels}

From dfada105e388611c69c65183f624e99ae2b34c28 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?P=C3=A9ter=20Ferenc=20Gyarmati?= <dev.petergy@gmail.com>
Date: Fri, 18 Nov 2022 18:51:38 +0100
Subject: [PATCH 36/45] test: multi views

---
 draco/tests/renderer/test_altair_renderer.py | 87 ++++++++++++++++++--
 1 file changed, 78 insertions(+), 9 deletions(-)

diff --git a/draco/tests/renderer/test_altair_renderer.py b/draco/tests/renderer/test_altair_renderer.py
index d47bc65d..6be8fc3d 100644
--- a/draco/tests/renderer/test_altair_renderer.py
+++ b/draco/tests/renderer/test_altair_renderer.py
@@ -1,4 +1,5 @@
 import random
+from typing import Literal
 
 import pandas as pd
 import pytest
@@ -41,6 +42,16 @@ def renderer():
     return AltairRenderer()
 
 
+@pytest.fixture
+def renderer_with_vconcat():
+    return AltairRenderer(concat_mode="vconcat")
+
+
+@pytest.fixture
+def renderer_with_hconcat():
+    return AltairRenderer(concat_mode="hconcat")
+
+
 def vl_specs_equal(a: dict, b: dict) -> bool:
     exclude_from_comparison = {"config", "datasets", "data", "$schema"}
     diff = DeepDiff(
@@ -792,11 +803,10 @@ def test_facets(spec: SpecificationDict, expected_vl: dict, renderer: AltairRend
         ]
     },
 )
-tick_plot_and_histogram_spec_vl = {
+tick_plot_and_histogram_spec_base_vl = {
     "$schema": "https://vega.github.io/schema/vega-lite/v4.17.0.json",
     "config": {"view": {"continuousHeight": 300, "continuousWidth": 400}},
-    # TODO adjust `hconcat` / `vconcat` after handling it properly in the renderer
-    "vconcat": [
+    "CONCAT_MODE": [
         {
             "encoding": {
                 "y": {
@@ -854,11 +864,10 @@ def test_facets(spec: SpecificationDict, expected_vl: dict, renderer: AltairRend
         "scale": [{"channel": "y", "type": "linear", "zero": "true"}],
     },
 )
-tick_plot_and_histogram_shared_scale_spec_vl = {
+tick_plot_and_histogram_shared_scale_spec_base_vl = {
     "$schema": "https://vega.github.io/schema/vega-lite/v4.17.0.json",
     "config": {"view": {"continuousHeight": 300, "continuousWidth": 400}},
-    # TODO adjust `hconcat` / `vconcat` after handling it properly in the renderer
-    "vconcat": [
+    "CONCAT_MODE": [
         {
             "encoding": {"y": {"field": "temperature", "type": "quantitative"}},
             "mark": "tick",
@@ -883,17 +892,31 @@ def test_facets(spec: SpecificationDict, expected_vl: dict, renderer: AltairRend
 }
 
 
+def prepare_multi_view(
+    vl_spec: dict, concat_mode: Literal["vconcat", "hconcat"] | None = None
+) -> dict:
+    result = vl_spec.copy()
+    if concat_mode is not None:
+        result[concat_mode] = result.pop("CONCAT_MODE")
+    else:
+        result = result | result.pop("CONCAT_MODE")[0]
+    return result
+
+
 @pytest.mark.parametrize(
     "spec, expected_vl",
     [
-        (tick_plot_and_histogram_spec_d, tick_plot_and_histogram_spec_vl),
+        (
+            tick_plot_and_histogram_spec_d,
+            prepare_multi_view(tick_plot_and_histogram_spec_base_vl),
+        ),
         (
             tick_plot_and_histogram_shared_scale_spec_d,
-            tick_plot_and_histogram_shared_scale_spec_vl,
+            prepare_multi_view(tick_plot_and_histogram_shared_scale_spec_base_vl),
         ),
     ],
 )
-def test_multiple_views(
+def test_multiple_views_no_concat(
     spec: SpecificationDict, expected_vl: dict, renderer: AltairRenderer
 ):
     chart = renderer.render(spec, df)
@@ -901,6 +924,52 @@ def test_multiple_views(
     assert vl_specs_equal(vl, expected_vl)
 
 
+@pytest.mark.parametrize(
+    "spec, expected_vl",
+    [
+        (
+            tick_plot_and_histogram_spec_d,
+            prepare_multi_view(tick_plot_and_histogram_spec_base_vl, "hconcat"),
+        ),
+        (
+            tick_plot_and_histogram_shared_scale_spec_d,
+            prepare_multi_view(
+                tick_plot_and_histogram_shared_scale_spec_base_vl, "hconcat"
+            ),
+        ),
+    ],
+)
+def test_multiple_views_hconcat(
+    spec: SpecificationDict, expected_vl: dict, renderer_with_hconcat: AltairRenderer
+):
+    chart = renderer_with_hconcat.render(spec, df)
+    vl = chart.to_dict()
+    assert vl_specs_equal(vl, expected_vl)
+
+
+@pytest.mark.parametrize(
+    "spec, expected_vl",
+    [
+        (
+            tick_plot_and_histogram_spec_d,
+            prepare_multi_view(tick_plot_and_histogram_spec_base_vl, "vconcat"),
+        ),
+        (
+            tick_plot_and_histogram_shared_scale_spec_d,
+            prepare_multi_view(
+                tick_plot_and_histogram_shared_scale_spec_base_vl, "vconcat"
+            ),
+        ),
+    ],
+)
+def test_multiple_views_vconcat(
+    spec: SpecificationDict, expected_vl: dict, renderer_with_vconcat: AltairRenderer
+):
+    chart = renderer_with_vconcat.render(spec, df)
+    vl = chart.to_dict()
+    assert vl_specs_equal(vl, expected_vl)
+
+
 def test_unknown_field_raises_value_error(renderer: AltairRenderer):
     spec = build_spec(
         data(["temperature"]),

From 76795ec909d9cd2937deebefd77ec1e5a6927e10 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?P=C3=A9ter=20Ferenc=20Gyarmati?= <dev.petergy@gmail.com>
Date: Wed, 7 Dec 2022 15:11:22 +0100
Subject: [PATCH 37/45] fix: satisfy CodeQL

Attempts to fix "Explicit returns mixed with implicit (fall through) returns"
---
 draco/renderer/altair_renderer.py | 44 +++++++++++++------------------
 1 file changed, 18 insertions(+), 26 deletions(-)

diff --git a/draco/renderer/altair_renderer.py b/draco/renderer/altair_renderer.py
index 3fe1ef4e..e28a787d 100644
--- a/draco/renderer/altair_renderer.py
+++ b/draco/renderer/altair_renderer.py
@@ -210,11 +210,9 @@ def __visit_mark(self, ctx: MarkContext) -> VegaLiteChart:
                 return self.__visit_mark_cartesian(ctx)
             case "polar":
                 return self.__visit_mark_polar(ctx)
-            # Should never happen, a pydantic error would be raised sooner
-            case _:  # pragma: no cover
-                raise ValueError(
-                    f"Unknown coordinate type: {coord}"
-                )  # pragma: no cover
+
+        # Should never happen, a pydantic error would be raised sooner
+        raise ValueError(f"Unknown coordinate type: {coord}")  # pragma: no cover
 
     def __visit_mark_cartesian(self, ctx: MarkContext) -> VegaLiteChart:
         """
@@ -241,9 +239,9 @@ def __visit_mark_cartesian(self, ctx: MarkContext) -> VegaLiteChart:
                 return chart.mark_tick()
             case "rect":
                 return chart.mark_rect()
-                # Should never happen, a pydantic error would be raised sooner
-            case _:  # pragma: no cover
-                raise ValueError(f"Unknown mark type: {mark_type}")  # pragma: no cover
+
+        # Should never happen, a pydantic error would be raised sooner
+        raise ValueError(f"Unknown mark type: {mark_type}")  # pragma: no cover
 
     def __visit_mark_polar(self, ctx: MarkContext) -> VegaLiteChart:
         """
@@ -264,9 +262,9 @@ def __visit_mark_polar(self, ctx: MarkContext) -> VegaLiteChart:
                     )
                 else:
                     return chart.mark_arc()
-                # Should never happen, a pydantic error would be raised sooner
-            case _:  # pragma: no cover
-                raise ValueError(f"Unknown mark type: {mark_type}")  # pragma: no cover
+
+        # Should never happen, a pydantic error would be raised sooner
+        raise ValueError(f"Unknown mark type: {mark_type}")  # pragma: no cover
 
     def __visit_encoding(self, ctx: EncodingContext) -> VegaLiteChart:
         """
@@ -283,11 +281,9 @@ def __visit_encoding(self, ctx: EncodingContext) -> VegaLiteChart:
                 return self.__visit_encoding_cartesian(ctx)
             case "polar":
                 return self.__visit_encoding_polar(ctx)
-                # Should never happen, a pydantic error would be raised sooner
-            case _:  # pragma: no cover
-                raise ValueError(
-                    f"Unknown coordinate type: {coord}"
-                )  # pragma: no cover
+
+        # Should never happen, a pydantic error would be raised sooner
+        raise ValueError(f"Unknown coordinate type: {coord}")  # pragma: no cover
 
     def __visit_encoding_cartesian(self, ctx: EncodingContext) -> VegaLiteChart:
         """
@@ -330,11 +326,9 @@ def __visit_encoding_cartesian(self, ctx: EncodingContext) -> VegaLiteChart:
                 return chart.encode(shape=alt.Shape(**encoding_args))
             case "text":
                 return chart.encode(text=alt.Text(**encoding_args))
-                # Should never happen, a pydantic error would be raised sooner
-            case _:  # pragma: no cover
-                raise ValueError(
-                    f"Unknown channel: {encoding.channel}"
-                )  # pragma: no cover
+
+        # Should never happen, a pydantic error would be raised sooner
+        raise ValueError(f"Unknown channel: {encoding.channel}")  # pragma: no cover
 
     def __visit_encoding_polar(self, ctx: EncodingContext) -> VegaLiteChart:
         """
@@ -386,11 +380,9 @@ def __visit_encoding_polar(self, ctx: EncodingContext) -> VegaLiteChart:
                     return chart.encode(theta=alt.Theta(**encoding_args))
             case "color":
                 return chart.encode(color=alt.Color(**encoding_args))
-                # Should never happen, a pydantic error would be raised sooner
-            case _:  # pragma: no cover
-                raise ValueError(
-                    f"Unknown channel: {encoding.channel}"
-                )  # pragma: no cover
+
+        # Should never happen, a pydantic error would be raised sooner
+        raise ValueError(f"Unknown channel: {encoding.channel}")  # pragma: no cover
 
     def __get_field_type(self, fields: list[Field], field_name: FieldName) -> str:
         """

From d6f06a8dc8da9a2386c1ae69129c0a6b19753efd Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?P=C3=A9ter=20Ferenc=20Gyarmati?= <dev.petergy@gmail.com>
Date: Wed, 7 Dec 2022 17:01:29 +0100
Subject: [PATCH 38/45] refactor: move vega-specific spec to `altair` package

---
 draco/renderer/__init__.py                    |   3 +-
 draco/renderer/altair/__init__.py             |   0
 .../renderer/{ => altair}/altair_renderer.py  |  18 +-
 draco/renderer/altair/types.py                | 310 +++++++++++++++++
 draco/renderer/base_renderer.py               |   4 +-
 draco/tests/renderer/altair/__init__.py       |   0
 .../{ => altair}/test_altair_renderer.py      |  22 +-
 .../tests/{ => renderer/altair}/test_types.py |   2 +-
 draco/types.py                                | 314 +-----------------
 9 files changed, 335 insertions(+), 338 deletions(-)
 create mode 100644 draco/renderer/altair/__init__.py
 rename draco/renderer/{ => altair}/altair_renderer.py (97%)
 create mode 100644 draco/renderer/altair/types.py
 create mode 100644 draco/tests/renderer/altair/__init__.py
 rename draco/tests/renderer/{ => altair}/test_altair_renderer.py (97%)
 rename draco/tests/{ => renderer/altair}/test_types.py (98%)

diff --git a/draco/renderer/__init__.py b/draco/renderer/__init__.py
index 1566a9fc..af87af99 100644
--- a/draco/renderer/__init__.py
+++ b/draco/renderer/__init__.py
@@ -1,4 +1,5 @@
-from .altair_renderer import AltairRenderer
+from draco.renderer.altair.altair_renderer import AltairRenderer
+
 from .base_renderer import BaseRenderer
 
 __all__ = ["BaseRenderer", "AltairRenderer"]
diff --git a/draco/renderer/altair/__init__.py b/draco/renderer/altair/__init__.py
new file mode 100644
index 00000000..e69de29b
diff --git a/draco/renderer/altair_renderer.py b/draco/renderer/altair/altair_renderer.py
similarity index 97%
rename from draco/renderer/altair_renderer.py
rename to draco/renderer/altair/altair_renderer.py
index e28a787d..6e11d3dc 100644
--- a/draco/renderer/altair_renderer.py
+++ b/draco/renderer/altair/altair_renderer.py
@@ -5,7 +5,9 @@
 import altair as alt
 from pandas import DataFrame
 
-from ..types import (
+from draco.renderer.base_renderer import BaseRenderer
+
+from .types import (
     Encoding,
     EncodingChannel,
     Field,
@@ -15,7 +17,6 @@
     SpecificationDict,
     View,
 )
-from .base_renderer import BaseRenderer
 
 logger = logging.getLogger(__name__)
 
@@ -92,18 +93,19 @@ def __init__(self, concat_mode: Literal["hconcat", "vconcat"] | None = None):
         """
         self.concat_mode = concat_mode
 
-    def render(self, spec: SpecificationDict, data: DataFrame) -> VegaLiteChart:
+    def render(self, spec: dict, data: DataFrame) -> VegaLiteChart:
+        typed_spec = SpecificationDict.parse_obj(spec)
         # initial chart to be mutated by the visitor callbacks
         chart = alt.Chart(data)
         chart_views: list[VegaLiteChart] = []
 
         # Traverse the specification dict and invoke the appropriate visitor
-        for v in spec.view:
+        for v in typed_spec.view:
             layers: list[VegaLiteChart] = []
             for m in v.mark:
                 chart = self.__visit_mark(
                     ctx=MarkContext(
-                        spec=spec,
+                        spec=typed_spec,
                         chart=chart,
                         chart_views=chart_views,
                         layers=layers,
@@ -114,7 +116,7 @@ def render(self, spec: SpecificationDict, data: DataFrame) -> VegaLiteChart:
                 for e in m.encoding:
                     chart = self.__visit_encoding(
                         ctx=EncodingContext(
-                            spec=spec,
+                            spec=typed_spec,
                             chart=chart,
                             chart_views=chart_views,
                             layers=layers,
@@ -126,7 +128,7 @@ def render(self, spec: SpecificationDict, data: DataFrame) -> VegaLiteChart:
                 layers.append(chart)
             chart = self.__visit_view(
                 ctx=ViewContext(
-                    spec=spec,
+                    spec=typed_spec,
                     chart=chart,
                     chart_views=chart_views,
                     layers=layers,
@@ -135,7 +137,7 @@ def render(self, spec: SpecificationDict, data: DataFrame) -> VegaLiteChart:
             )
             chart_views.append(chart)
         return self.__visit_root(
-            ctx=RootContext(spec=spec, chart=chart, chart_views=chart_views)
+            ctx=RootContext(spec=typed_spec, chart=chart, chart_views=chart_views)
         )
 
     def __visit_root(self, ctx: RootContext) -> VegaLiteChart:
diff --git a/draco/renderer/altair/types.py b/draco/renderer/altair/types.py
new file mode 100644
index 00000000..bc7d99ac
--- /dev/null
+++ b/draco/renderer/altair/types.py
@@ -0,0 +1,310 @@
+from typing import Literal
+
+# granular imports to satisfy `pyright`
+import pydantic.class_validators as pydantic_validators
+import pydantic.config as pydantic_config
+import pydantic.fields as pydantic_fields
+import pydantic.main as pydantic_main
+import pydantic.types as pydantic_types
+
+"""
+The number of rows in the dataset.
+"""
+DatasetNumberRows = pydantic_types.PositiveInt
+
+"""
+The name of a data field.
+Described as `(field,name)`
+"""
+FieldName = str
+
+"""
+The type of the data in the column for this field.
+One of number, string, boolean, or datetime.
+Described as `(field,type)`
+"""
+FieldType = Literal["number", "string", "boolean", "datetime"]
+
+"""
+The number of unique values.
+Described as `(field,unique)`
+"""
+FieldUnique = pydantic_types.PositiveInt
+
+"""
+The entropy of the field.
+Described as `(field,entropy)`
+"""
+FieldEntropy = pydantic_types.PositiveFloat
+
+"""
+The minimum value. Only used for numbers.
+Described as `(field,min)`
+"""
+FieldMin = float
+
+"""
+The maximum value. Only used for numbers.
+Described as `(field,max)`
+"""
+FieldMax = float
+
+"""
+The standard deviation. Only used for numbers.
+Described as `(field,std)`
+"""
+FieldStd = float
+
+"""
+The frequency of the most common value. Only used for strings.
+Described as `(field,freq)`
+"""
+FieldFreq = pydantic_types.PositiveInt
+
+"""
+When the task regards specific fields, fields can be marked as relevant to the task.
+Described as `(field,interesting)`
+"""
+FieldInteresting = bool
+
+"""
+The coordinates system of the view. Can be one of cartesian, or polar.
+Described as `(view,coordinates)`.
+"""
+ViewCoordinate = Literal["cartesian", "polar"]
+
+"""
+The mark type. One of point, bar, line, area, text, tick, or rect.
+Described as `(mark,type)`.
+"""
+MarkType = Literal["point", "bar", "line", "area", "text", "tick", "rect"]
+
+"""
+The visual channel. One of x, y, color, size, shape, or text.
+Same as `ScaleChannel`.
+Described as `(encoding,channel)`.
+"""
+EncodingChannel = Literal["x", "y", "color", "size", "shape", "text"]
+
+"""
+The field that maps to the visual property of the mark. Arbitrary string.
+Described as `(encoding,field)`.
+"""
+EncodingField = FieldName
+
+"""
+How the data is aggregated. One of count, mean, median, min, max, stdev, or sum.
+Described as `(encoding,aggregate)`.
+"""
+EncodingAggregate = Literal["count", "mean", "median", "min", "max", "stdev", "sum"]
+
+"""
+How the data is binned into N bins. Positive integer.
+Described as `(encoding,binning)`
+"""
+EncodingBinning = pydantic_types.PositiveInt
+
+"""
+Stacking strategy. One of zero, center, or normalize.
+Described as `(encoding,stack)`.
+"""
+EncodingStack = Literal["zero", "center", "normalize"]
+
+"""
+The scale channel. One of x, y, color, size, shape, or text.
+Same as `EncodingChannel`.
+Described as `(scale,channel)`.
+"""
+ScaleChannel = EncodingChannel
+
+"""
+The scale type. One of linear, log, ordinal, or categorical.
+Described as `(scale,type)`.
+"""
+ScaleType = Literal["linear", "log", "ordinal", "categorical"]
+
+"""
+Whether to include zero in the scale domain.
+Described as `(scale,zero)`.
+"""
+ScaleZero = bool
+
+"""
+The facet channel. Can be one of col and row.
+Described as `(facet,channel)`.
+"""
+FacetChannel = Literal["col", "row"]
+
+"""
+The facet field. Arbitrary string.
+Described as `(facet,field)`.
+"""
+FacetField = FieldName
+
+"""
+Binning a numeric field for faceting. Positive integer.
+Described as `(facet,binning)`.
+"""
+FacetBinning = EncodingBinning
+
+
+class SchemaBase(pydantic_main.BaseModel):
+    """Base class for all schema classes."""
+
+    class Config:
+        # Do not allow fields that are not defined in the schema explicitly.
+        extra = pydantic_config.Extra.forbid
+
+
+class Encoding(SchemaBase):
+    """
+    Encoding schema.
+    Encodings define how data fields map to visual properties (channel) of the mark.
+
+    `Read More <https://dig.cmu.edu/draco2/facts/encoding.html>`_.
+    """
+
+    channel: EncodingChannel
+    field: EncodingField | None = None
+    aggregate: EncodingAggregate | None = None
+    binning: EncodingBinning | None = None
+    stack: EncodingStack | None = None
+
+    @pydantic_validators.root_validator(pre=True)
+    def check_field_is_present_unless_agg_count(cls, values: dict):
+        if values.get("aggregate", None) != "count" and "field" not in values:
+            raise ValueError("field must be present unless aggregate is count")
+        return values
+
+
+class Mark(SchemaBase):
+    """
+    Mark schema.
+    A mark represents the graphical mark of the visualization.
+
+    `Read More <https://dig.cmu.edu/draco2/facts/mark.html>`_.
+    """
+
+    type: MarkType
+    encoding: list[Encoding]
+
+
+class Scale(SchemaBase):
+    """
+    Scale schema.
+    Scales map abstract values such as time or temperature to
+    a visual value such as x- or y-position or color.
+
+    `Read More <https://dig.cmu.edu/draco2/facts/scale.html>`_.
+    """
+
+    channel: ScaleChannel
+    type: ScaleType = pydantic_fields.Field(default="linear")
+    zero: ScaleZero | None = None
+
+
+class Facet(SchemaBase):
+    """
+    Facet schema.
+    With the facet operator, we can partition a dataset by a field
+    and create a view for each field.
+    The resulting chart is often called a small multiples chart.
+
+    `Read More <https://dig.cmu.edu/draco2/facts/facet.html>`_.
+    """
+
+    channel: FacetChannel
+    field: FacetField
+    binning: FacetBinning | None = None
+
+
+class View(SchemaBase):
+    """
+    View schema.
+    A view can group marks and scales together.
+
+    `Read More <https://dig.cmu.edu/draco2/facts/view.html>`_.
+    """
+
+    coordinates: ViewCoordinate = pydantic_fields.Field(default="cartesian")
+    mark: list[Mark]
+    scale: list[Scale] | None = None
+    facet: list[Facet] | None = None
+
+    __SUPPORTED_POLAR_MARKS__ = {"bar"}
+    __SUPPORTED_POLAR_ENCODINGS__ = {"x", "y", "color"}
+
+    @pydantic_validators.root_validator(pre=True)
+    def check_polar_mark_and_encoding(cls, values: dict):
+        if values.get("coordinates", "cartesian") == "polar":
+            for mark in values.get("mark", []):
+                if mark.get("type", None) not in cls.__SUPPORTED_POLAR_MARKS__:
+                    raise ValueError(
+                        f"polar coordinates only support "
+                        f"{cls.__SUPPORTED_POLAR_MARKS__} marks"
+                    )
+                for encoding in mark.get("encoding", []):
+                    if (
+                        encoding.get("channel", None)
+                        not in cls.__SUPPORTED_POLAR_ENCODINGS__
+                    ):
+                        raise ValueError(
+                            f"polar coordinates only support "
+                            f"{cls.__SUPPORTED_POLAR_ENCODINGS__} encodings"
+                        )
+        return values
+
+
+class Field(SchemaBase):
+    """
+    Field schema.
+    Represents a column in the dataset.
+    Draco can use information about the field type and field statistics.
+
+    `Read More <https://dig.cmu.edu/draco2/facts/schema.html#field-properties>`_.
+    """
+
+    name: FieldName
+    type: FieldType
+    unique: FieldUnique | None = None
+    entropy: FieldEntropy | None = None
+    min: FieldMin | None = None
+    max: FieldMax | None = None
+    std: FieldStd | None = None
+    freq: FieldFreq | None = None
+    interesting: FieldInteresting | None = None
+
+    __STRING_ONLY_FIELDS__ = {"freq"}
+    __NUMBER_ONLY_FIELDS__ = {"min", "max", "std"}
+
+    @pydantic_validators.root_validator(pre=True)
+    def check_no_string_attributes_on_number_type(cls, values: dict):
+        if values["type"] == "number":
+            for field in cls.__STRING_ONLY_FIELDS__:
+                if field in values:
+                    raise ValueError(
+                        f"{field} is not a valid attribute for a number field"
+                    )
+        return values
+
+    @pydantic_validators.root_validator(pre=True)
+    def check_no_number_attributes_on_string_type(cls, values: dict):
+        if values["type"] == "string":
+            for field in cls.__NUMBER_ONLY_FIELDS__:
+                if field in values:
+                    raise ValueError(
+                        f"{field} is not a valid attribute for a string field"
+                    )
+        return values
+
+
+class SpecificationDict(SchemaBase):
+    """
+    Specification schema.
+    Describes a visualization completely.
+    """
+
+    number_rows: DatasetNumberRows
+    field: list[Field]
+    view: list[View]
+    scale: list[Scale] | None = None
diff --git a/draco/renderer/base_renderer.py b/draco/renderer/base_renderer.py
index 58109418..c3565f21 100644
--- a/draco/renderer/base_renderer.py
+++ b/draco/renderer/base_renderer.py
@@ -3,8 +3,6 @@
 
 from pandas import DataFrame
 
-from ..types import SpecificationDict
-
 T = TypeVar("T")
 
 
@@ -16,7 +14,7 @@ class BaseRenderer(ABC, Generic[T]):
     """
 
     @abstractmethod
-    def render(self, spec: SpecificationDict, data: DataFrame) -> T:
+    def render(self, spec: dict, data: DataFrame) -> T:
         """
         Render a visualization from a dictionary-based specification and data.
 
diff --git a/draco/tests/renderer/altair/__init__.py b/draco/tests/renderer/altair/__init__.py
new file mode 100644
index 00000000..e69de29b
diff --git a/draco/tests/renderer/test_altair_renderer.py b/draco/tests/renderer/altair/test_altair_renderer.py
similarity index 97%
rename from draco/tests/renderer/test_altair_renderer.py
rename to draco/tests/renderer/altair/test_altair_renderer.py
index 6be8fc3d..740ca64c 100644
--- a/draco/tests/renderer/test_altair_renderer.py
+++ b/draco/tests/renderer/altair/test_altair_renderer.py
@@ -6,7 +6,7 @@
 from deepdiff import DeepDiff
 
 from draco.renderer import AltairRenderer
-from draco.types import MarkType, SpecificationDict
+from draco.renderer.altair.types import MarkType
 
 NUM_ROWS = 100
 df = pd.DataFrame(
@@ -67,7 +67,7 @@ def build_spec(*args):
     dct = {}
     for arg in args:
         dct.update(arg)
-    return SpecificationDict.parse_obj(dct)
+    return dct
 
 
 def specs_with_mark(mark: MarkType):
@@ -426,7 +426,7 @@ def specs_with_mark(mark: MarkType):
     ],
 )
 def test_single_view_single_mark(
-    spec: SpecificationDict, expected_vl: dict, renderer: AltairRenderer
+    spec: dict, expected_vl: dict, renderer: AltairRenderer
 ):
     chart = renderer.render(spec, df)
     vl = chart.to_dict()
@@ -546,7 +546,7 @@ def test_single_view_single_mark(
         (normalized_stacked_bar_spec_d, normalized_stacked_bar_spec_vl),
     ],
 )
-def test_stacked(spec: SpecificationDict, expected_vl: dict, renderer: AltairRenderer):
+def test_stacked(spec: dict, expected_vl: dict, renderer: AltairRenderer):
     chart = renderer.render(spec, df)
     vl = chart.to_dict()
     assert vl_specs_equal(vl, expected_vl)
@@ -614,9 +614,7 @@ def test_stacked(spec: SpecificationDict, expected_vl: dict, renderer: AltairRen
         (bar_with_tick_spec_d, bar_with_tick_spec_vl),
     ],
 )
-def test_multi_mark(
-    spec: SpecificationDict, expected_vl: dict, renderer: AltairRenderer
-):
+def test_multi_mark(spec: dict, expected_vl: dict, renderer: AltairRenderer):
     chart = renderer.render(spec, df)
     vl = chart.to_dict()
     assert vl_specs_equal(vl, expected_vl)
@@ -765,7 +763,7 @@ def test_multi_mark(
         (scatterplot_columns_binned_spec_d, scatterplot_columns_binned_spec_vl),
     ],
 )
-def test_facets(spec: SpecificationDict, expected_vl: dict, renderer: AltairRenderer):
+def test_facets(spec: dict, expected_vl: dict, renderer: AltairRenderer):
     chart = renderer.render(spec, df)
     vl = chart.to_dict()
     assert vl_specs_equal(vl, expected_vl)
@@ -917,7 +915,7 @@ def prepare_multi_view(
     ],
 )
 def test_multiple_views_no_concat(
-    spec: SpecificationDict, expected_vl: dict, renderer: AltairRenderer
+    spec: dict, expected_vl: dict, renderer: AltairRenderer
 ):
     chart = renderer.render(spec, df)
     vl = chart.to_dict()
@@ -940,7 +938,7 @@ def test_multiple_views_no_concat(
     ],
 )
 def test_multiple_views_hconcat(
-    spec: SpecificationDict, expected_vl: dict, renderer_with_hconcat: AltairRenderer
+    spec: dict, expected_vl: dict, renderer_with_hconcat: AltairRenderer
 ):
     chart = renderer_with_hconcat.render(spec, df)
     vl = chart.to_dict()
@@ -963,7 +961,7 @@ def test_multiple_views_hconcat(
     ],
 )
 def test_multiple_views_vconcat(
-    spec: SpecificationDict, expected_vl: dict, renderer_with_vconcat: AltairRenderer
+    spec: dict, expected_vl: dict, renderer_with_vconcat: AltairRenderer
 ):
     chart = renderer_with_vconcat.render(spec, df)
     vl = chart.to_dict()
@@ -1098,7 +1096,7 @@ def test_unknown_field_raises_value_error(renderer: AltairRenderer):
         (polar_radial_chart_spec_d, polar_radial_chart_spec_vl),
     ],
 )
-def test_polar(spec: SpecificationDict, expected_vl: dict, renderer: AltairRenderer):
+def test_polar(spec: dict, expected_vl: dict, renderer: AltairRenderer):
     chart = renderer.render(spec, df)
     vl = chart.to_dict()
     assert vl_specs_equal(vl, expected_vl)
diff --git a/draco/tests/test_types.py b/draco/tests/renderer/altair/test_types.py
similarity index 98%
rename from draco/tests/test_types.py
rename to draco/tests/renderer/altair/test_types.py
index d4af2062..57c5874f 100644
--- a/draco/tests/test_types.py
+++ b/draco/tests/renderer/altair/test_types.py
@@ -1,6 +1,6 @@
 import pytest
 
-import draco.types as draco_types
+import draco.renderer.altair.types as draco_types
 
 
 @pytest.mark.parametrize(
diff --git a/draco/types.py b/draco/types.py
index c30ff3a2..fc57be5a 100644
--- a/draco/types.py
+++ b/draco/types.py
@@ -1,315 +1,3 @@
-from typing import Iterable, Literal, TypeAlias
+from typing import Iterable, TypeAlias
 
-# granular imports to satisfy `pyright`
-import pydantic.class_validators as pydantic_validators
-import pydantic.config as pydantic_config
-import pydantic.fields as pydantic_fields
-import pydantic.main as pydantic_main
-import pydantic.types as pydantic_types
-
-"""
-ASP-based fact representation of a visualization specification.
-"""
 Specification: TypeAlias = Iterable[str] | str
-
-"""
-The number of rows in the dataset.
-"""
-DatasetNumberRows = pydantic_types.PositiveInt
-
-"""
-The name of a data field.
-Described as `(field,name)`
-"""
-FieldName = str
-
-"""
-The type of the data in the column for this field.
-One of number, string, boolean, or datetime.
-Described as `(field,type)`
-"""
-FieldType = Literal["number", "string", "boolean", "datetime"]
-
-"""
-The number of unique values.
-Described as `(field,unique)`
-"""
-FieldUnique = pydantic_types.PositiveInt
-
-"""
-The entropy of the field.
-Described as `(field,entropy)`
-"""
-FieldEntropy = pydantic_types.PositiveFloat
-
-"""
-The minimum value. Only used for numbers.
-Described as `(field,min)`
-"""
-FieldMin = float
-
-"""
-The maximum value. Only used for numbers.
-Described as `(field,max)`
-"""
-FieldMax = float
-
-"""
-The standard deviation. Only used for numbers.
-Described as `(field,std)`
-"""
-FieldStd = float
-
-"""
-The frequency of the most common value. Only used for strings.
-Described as `(field,freq)`
-"""
-FieldFreq = pydantic_types.PositiveInt
-
-"""
-When the task regards specific fields, fields can be marked as relevant to the task.
-Described as `(field,interesting)`
-"""
-FieldInteresting = bool
-
-"""
-The coordinates system of the view. Can be one of cartesian, or polar.
-Described as `(view,coordinates)`.
-"""
-ViewCoordinate = Literal["cartesian", "polar"]
-
-"""
-The mark type. One of point, bar, line, area, text, tick, or rect.
-Described as `(mark,type)`.
-"""
-MarkType = Literal["point", "bar", "line", "area", "text", "tick", "rect"]
-
-"""
-The visual channel. One of x, y, color, size, shape, or text.
-Same as `ScaleChannel`.
-Described as `(encoding,channel)`.
-"""
-EncodingChannel = Literal["x", "y", "color", "size", "shape", "text"]
-
-"""
-The field that maps to the visual property of the mark. Arbitrary string.
-Described as `(encoding,field)`.
-"""
-EncodingField = FieldName
-
-"""
-How the data is aggregated. One of count, mean, median, min, max, stdev, or sum.
-Described as `(encoding,aggregate)`.
-"""
-EncodingAggregate = Literal["count", "mean", "median", "min", "max", "stdev", "sum"]
-
-"""
-How the data is binned into N bins. Positive integer.
-Described as `(encoding,binning)`
-"""
-EncodingBinning = pydantic_types.PositiveInt
-
-"""
-Stacking strategy. One of zero, center, or normalize.
-Described as `(encoding,stack)`.
-"""
-EncodingStack = Literal["zero", "center", "normalize"]
-
-"""
-The scale channel. One of x, y, color, size, shape, or text.
-Same as `EncodingChannel`.
-Described as `(scale,channel)`.
-"""
-ScaleChannel = EncodingChannel
-
-"""
-The scale type. One of linear, log, ordinal, or categorical.
-Described as `(scale,type)`.
-"""
-ScaleType = Literal["linear", "log", "ordinal", "categorical"]
-
-"""
-Whether to include zero in the scale domain.
-Described as `(scale,zero)`.
-"""
-ScaleZero = bool
-
-"""
-The facet channel. Can be one of col and row.
-Described as `(facet,channel)`.
-"""
-FacetChannel = Literal["col", "row"]
-
-"""
-The facet field. Arbitrary string.
-Described as `(facet,field)`.
-"""
-FacetField = FieldName
-
-"""
-Binning a numeric field for faceting. Positive integer.
-Described as `(facet,binning)`.
-"""
-FacetBinning = EncodingBinning
-
-
-class SchemaBase(pydantic_main.BaseModel):
-    """Base class for all schema classes."""
-
-    class Config:
-        # Do not allow fields that are not defined in the schema explicitly.
-        extra = pydantic_config.Extra.forbid
-
-
-class Encoding(SchemaBase):
-    """
-    Encoding schema.
-    Encodings define how data fields map to visual properties (channel) of the mark.
-
-    `Read More <https://dig.cmu.edu/draco2/facts/encoding.html>`_.
-    """
-
-    channel: EncodingChannel
-    field: EncodingField | None = None
-    aggregate: EncodingAggregate | None = None
-    binning: EncodingBinning | None = None
-    stack: EncodingStack | None = None
-
-    @pydantic_validators.root_validator(pre=True)
-    def check_field_is_present_unless_agg_count(cls, values: dict):
-        if values.get("aggregate", None) != "count" and "field" not in values:
-            raise ValueError("field must be present unless aggregate is count")
-        return values
-
-
-class Mark(SchemaBase):
-    """
-    Mark schema.
-    A mark represents the graphical mark of the visualization.
-
-    `Read More <https://dig.cmu.edu/draco2/facts/mark.html>`_.
-    """
-
-    type: MarkType
-    encoding: list[Encoding]
-
-
-class Scale(SchemaBase):
-    """
-    Scale schema.
-    Scales map abstract values such as time or temperature to
-    a visual value such as x- or y-position or color.
-
-    `Read More <https://dig.cmu.edu/draco2/facts/scale.html>`_.
-    """
-
-    channel: ScaleChannel
-    type: ScaleType = pydantic_fields.Field(default="linear")
-    zero: ScaleZero | None = None
-
-
-class Facet(SchemaBase):
-    """
-    Facet schema.
-    With the facet operator, we can partition a dataset by a field
-    and create a view for each field.
-    The resulting chart is often called a small multiples chart.
-
-    `Read More <https://dig.cmu.edu/draco2/facts/facet.html>`_.
-    """
-
-    channel: FacetChannel
-    field: FacetField
-    binning: FacetBinning | None = None
-
-
-class View(SchemaBase):
-    """
-    View schema.
-    A view can group marks and scales together.
-
-    `Read More <https://dig.cmu.edu/draco2/facts/view.html>`_.
-    """
-
-    coordinates: ViewCoordinate = pydantic_fields.Field(default="cartesian")
-    mark: list[Mark]
-    scale: list[Scale] | None = None
-    facet: list[Facet] | None = None
-
-    __SUPPORTED_POLAR_MARKS__ = {"bar"}
-    __SUPPORTED_POLAR_ENCODINGS__ = {"x", "y", "color"}
-
-    @pydantic_validators.root_validator(pre=True)
-    def check_polar_mark_and_encoding(cls, values: dict):
-        if values.get("coordinates", "cartesian") == "polar":
-            for mark in values.get("mark", []):
-                if mark.get("type", None) not in cls.__SUPPORTED_POLAR_MARKS__:
-                    raise ValueError(
-                        f"polar coordinates only support "
-                        f"{cls.__SUPPORTED_POLAR_MARKS__} marks"
-                    )
-                for encoding in mark.get("encoding", []):
-                    if (
-                        encoding.get("channel", None)
-                        not in cls.__SUPPORTED_POLAR_ENCODINGS__
-                    ):
-                        raise ValueError(
-                            f"polar coordinates only support "
-                            f"{cls.__SUPPORTED_POLAR_ENCODINGS__} encodings"
-                        )
-        return values
-
-
-class Field(SchemaBase):
-    """
-    Field schema.
-    Represents a column in the dataset.
-    Draco can use information about the field type and field statistics.
-
-    `Read More <https://dig.cmu.edu/draco2/facts/schema.html#field-properties>`_.
-    """
-
-    name: FieldName
-    type: FieldType
-    unique: FieldUnique | None = None
-    entropy: FieldEntropy | None = None
-    min: FieldMin | None = None
-    max: FieldMax | None = None
-    std: FieldStd | None = None
-    freq: FieldFreq | None = None
-    interesting: FieldInteresting | None = None
-
-    __STRING_ONLY_FIELDS__ = {"freq"}
-    __NUMBER_ONLY_FIELDS__ = {"min", "max", "std"}
-
-    @pydantic_validators.root_validator(pre=True)
-    def check_no_string_attributes_on_number_type(cls, values: dict):
-        if values["type"] == "number":
-            for field in cls.__STRING_ONLY_FIELDS__:
-                if field in values:
-                    raise ValueError(
-                        f"{field} is not a valid attribute for a number field"
-                    )
-        return values
-
-    @pydantic_validators.root_validator(pre=True)
-    def check_no_number_attributes_on_string_type(cls, values: dict):
-        if values["type"] == "string":
-            for field in cls.__NUMBER_ONLY_FIELDS__:
-                if field in values:
-                    raise ValueError(
-                        f"{field} is not a valid attribute for a string field"
-                    )
-        return values
-
-
-class SpecificationDict(SchemaBase):
-    """
-    Specification schema.
-    Describes a visualization completely.
-    """
-
-    number_rows: DatasetNumberRows
-    field: list[Field]
-    view: list[View]
-    scale: list[Scale] | None = None

From 8b96f5508d79d32670916e51824d56c70e766edb Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?P=C3=A9ter=20Ferenc=20Gyarmati?= <dev.petergy@gmail.com>
Date: Wed, 7 Dec 2022 17:32:20 +0100
Subject: [PATCH 39/45] ci: pin runners to `ubuntu-20.04`

Fixes actions/setup-python#162
---
 .github/workflows/book.yml   | 4 +++-
 .github/workflows/codeql.yml | 4 +++-
 .github/workflows/test.yml   | 8 ++++++--
 3 files changed, 12 insertions(+), 4 deletions(-)

diff --git a/.github/workflows/book.yml b/.github/workflows/book.yml
index f7c42465..d8a323b2 100644
--- a/.github/workflows/book.yml
+++ b/.github/workflows/book.yml
@@ -7,7 +7,9 @@ on:
 
 jobs:
   book:
-    runs-on: ubuntu-latest
+    # https://github.com/actions/setup-python/issues/162#issuecomment-1325307787
+    # FIXME: temp change to ubuntu-20.04 from ubuntu-latest to fix python can not found error
+    runs-on: ubuntu-20.04
 
     steps:
       - uses: actions/checkout@v3
diff --git a/.github/workflows/codeql.yml b/.github/workflows/codeql.yml
index 716fed52..b86c8dab 100644
--- a/.github/workflows/codeql.yml
+++ b/.github/workflows/codeql.yml
@@ -11,7 +11,9 @@ on:
 jobs:
   analyze:
     name: Analyze
-    runs-on: ubuntu-latest
+    # https://github.com/actions/setup-python/issues/162#issuecomment-1325307787
+    # FIXME: temp change to ubuntu-20.04 from ubuntu-latest to fix python can not found error
+    runs-on: ubuntu-20.04
     permissions:
       actions: read
       contents: read
diff --git a/.github/workflows/test.yml b/.github/workflows/test.yml
index a6bb12a0..a18aecc7 100644
--- a/.github/workflows/test.yml
+++ b/.github/workflows/test.yml
@@ -8,7 +8,9 @@ on:
 
 jobs:
   test:
-    runs-on: ubuntu-latest
+    # https://github.com/actions/setup-python/issues/162#issuecomment-1325307787
+    # FIXME: temp change to ubuntu-20.04 from ubuntu-latest to fix python can not found error
+    runs-on: ubuntu-20.04
 
     steps:
       - uses: actions/checkout@v3
@@ -37,7 +39,9 @@ jobs:
           fail_ci_if_error: true
 
   lint:
-    runs-on: ubuntu-latest
+    # https://github.com/actions/setup-python/issues/162#issuecomment-1325307787
+    # FIXME: temp change to ubuntu-20.04 from ubuntu-latest to fix python can not found error
+    runs-on: ubuntu-20.04
 
     steps:
       - uses: actions/checkout@v3

From 320cf546a5ed1395c000d327ec61052c41557128 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?P=C3=A9ter=20Ferenc=20Gyarmati?= <dev.petergy@gmail.com>
Date: Wed, 7 Dec 2022 23:24:02 +0100
Subject: [PATCH 40/45] docs: explain the purpose of the stroke in
 `__visit_mark_polar`

---
 draco/renderer/altair/altair_renderer.py | 3 +++
 1 file changed, 3 insertions(+)

diff --git a/draco/renderer/altair/altair_renderer.py b/draco/renderer/altair/altair_renderer.py
index 6e11d3dc..6e8e7312 100644
--- a/draco/renderer/altair/altair_renderer.py
+++ b/draco/renderer/altair/altair_renderer.py
@@ -259,6 +259,9 @@ def __visit_mark_polar(self, ctx: MarkContext) -> VegaLiteChart:
             case "bar":
                 encodes_x_and_y = all([e.channel in ["x", "y"] for e in encodings])
                 if encodes_x_and_y:
+                    # We are setting a white stroke here so that the radial
+                    # slices are visually separated from each other.
+                    # See https://github.com/cmudig/draco2/pull/438#discussion_r1042469389  # noqa: E501
                     return chart.mark_arc(stroke="#ffffff") + chart.mark_text(
                         radiusOffset=15
                     )

From aac04b968382527d97f670190fc9af6d35e0a89b Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?P=C3=A9ter=20Ferenc=20Gyarmati?= <dev.petergy@gmail.com>
Date: Tue, 13 Dec 2022 09:59:47 +0100
Subject: [PATCH 41/45] refactor: declare methods as `static` where applicable

---
 draco/renderer/altair/altair_renderer.py | 12 ++++++++----
 1 file changed, 8 insertions(+), 4 deletions(-)

diff --git a/draco/renderer/altair/altair_renderer.py b/draco/renderer/altair/altair_renderer.py
index 6e8e7312..149c8ef4 100644
--- a/draco/renderer/altair/altair_renderer.py
+++ b/draco/renderer/altair/altair_renderer.py
@@ -216,7 +216,8 @@ def __visit_mark(self, ctx: MarkContext) -> VegaLiteChart:
         # Should never happen, a pydantic error would be raised sooner
         raise ValueError(f"Unknown coordinate type: {coord}")  # pragma: no cover
 
-    def __visit_mark_cartesian(self, ctx: MarkContext) -> VegaLiteChart:
+    @staticmethod
+    def __visit_mark_cartesian(ctx: MarkContext) -> VegaLiteChart:
         """
         Handles mark-specific configuration.
         Responsible for applying the mark type to a chart in cartesian coordinates.
@@ -245,7 +246,8 @@ def __visit_mark_cartesian(self, ctx: MarkContext) -> VegaLiteChart:
         # Should never happen, a pydantic error would be raised sooner
         raise ValueError(f"Unknown mark type: {mark_type}")  # pragma: no cover
 
-    def __visit_mark_polar(self, ctx: MarkContext) -> VegaLiteChart:
+    @staticmethod
+    def __visit_mark_polar(ctx: MarkContext) -> VegaLiteChart:
         """
         Handles mark-specific configuration.
         Responsible for applying the mark type to a chart in polar coordinates.
@@ -389,7 +391,8 @@ def __visit_encoding_polar(self, ctx: EncodingContext) -> VegaLiteChart:
         # Should never happen, a pydantic error would be raised sooner
         raise ValueError(f"Unknown channel: {encoding.channel}")  # pragma: no cover
 
-    def __get_field_type(self, fields: list[Field], field_name: FieldName) -> str:
+    @staticmethod
+    def __get_field_type(fields: list[Field], field_name: FieldName) -> str:
         """
         Returns the type of the field with the given name.
         Needed to map from Draco-spec data types to Vega-Lite data types.
@@ -410,8 +413,9 @@ def __get_field_type(self, fields: list[Field], field_name: FieldName) -> str:
             raise ValueError(f"Unknown field: {field_name}")
         return renames[field_by_name[0].type]
 
+    @staticmethod
     def __get_scale_for_encoding(
-        self, channel: EncodingChannel, scales: list[Scale]
+        channel: EncodingChannel, scales: list[Scale]
     ) -> alt.Scale | None:
         """
         Returns the scale for the given encoding channel, if any.

From 39e400a42265e8c778b44a67dadee854c00f90de Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?P=C3=A9ter=20Ferenc=20Gyarmati?= <dev.petergy@gmail.com>
Date: Tue, 13 Dec 2022 10:16:00 +0100
Subject: [PATCH 42/45] docs: document scale options of `SpecificationDict`

A spec has either top-level- or view-level scales or both.
---
 draco/renderer/altair/types.py | 12 +++++++++++-
 1 file changed, 11 insertions(+), 1 deletion(-)

diff --git a/draco/renderer/altair/types.py b/draco/renderer/altair/types.py
index bc7d99ac..9e345b75 100644
--- a/draco/renderer/altair/types.py
+++ b/draco/renderer/altair/types.py
@@ -228,9 +228,14 @@ class View(SchemaBase):
 
     coordinates: ViewCoordinate = pydantic_fields.Field(default="cartesian")
     mark: list[Mark]
-    scale: list[Scale] | None = None
     facet: list[Facet] | None = None
 
+    """
+    View-specific scales define scales on a per-channel basis in the view.
+    `None` means that a top-level scale (shared scale) is present.
+    """
+    scale: list[Scale] | None = None
+
     __SUPPORTED_POLAR_MARKS__ = {"bar"}
     __SUPPORTED_POLAR_ENCODINGS__ = {"x", "y", "color"}
 
@@ -307,4 +312,9 @@ class SpecificationDict(SchemaBase):
     number_rows: DatasetNumberRows
     field: list[Field]
     view: list[View]
+
+    """
+    Top-level scales define shared scales across views.
+    `None` means no shared scales are used.
+    """
     scale: list[Scale] | None = None

From 4e380ec630940ec804e83f02e5c8b17602c877b4 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?P=C3=A9ter=20Ferenc=20Gyarmati?= <dev.petergy@gmail.com>
Date: Tue, 13 Dec 2022 13:42:06 +0100
Subject: [PATCH 43/45] feat: consider scale type in `__get_field_type`

Adds support for determining Vega-Lite field type
based on a combination of the scale type and the field's
raw data type
---
 draco/renderer/altair/altair_renderer.py | 128 ++++++++++++++++++++---
 1 file changed, 114 insertions(+), 14 deletions(-)

diff --git a/draco/renderer/altair/altair_renderer.py b/draco/renderer/altair/altair_renderer.py
index 149c8ef4..3d37c6f7 100644
--- a/draco/renderer/altair/altair_renderer.py
+++ b/draco/renderer/altair/altair_renderer.py
@@ -20,6 +20,7 @@
 
 logger = logging.getLogger(__name__)
 
+
 """
 Generic parameter for the type of the produced visualization object.
 Used to abstract away the final type of the produced visualization object.
@@ -180,7 +181,7 @@ def __visit_view(self, ctx: ViewContext) -> VegaLiteChart:
                 channel = f.channel
                 facet_args = {
                     "field": f.field,
-                    "type": self.__get_field_type(ctx.spec.field, f.field),
+                    "type": self.__get_field_type(ctx.spec, f.field),
                 }
                 if f.binning is not None:
                     facet_args["bin"] = alt.BinParams(maxbins=f.binning)
@@ -306,7 +307,7 @@ def __visit_encoding_cartesian(self, ctx: EncodingContext) -> VegaLiteChart:
         custom_args = {}
         if encoding.field is not None:
             custom_args["field"] = encoding.field
-            custom_args["type"] = self.__get_field_type(spec.field, encoding.field)
+            custom_args["type"] = self.__get_field_type(spec, encoding.field)
         if encoding.binning is not None:
             custom_args["bin"] = alt.BinParams(maxbins=encoding.binning)
 
@@ -358,7 +359,7 @@ def __visit_encoding_polar(self, ctx: EncodingContext) -> VegaLiteChart:
         custom_args = {}
         if encoding.field is not None:
             custom_args["field"] = encoding.field
-            custom_args["type"] = self.__get_field_type(spec.field, encoding.field)
+            custom_args["type"] = self.__get_field_type(spec, encoding.field)
 
         if view.scale is not None:
             scale_or_none = self.__get_scale_for_encoding(encoding.channel, view.scale)
@@ -392,26 +393,125 @@ def __visit_encoding_polar(self, ctx: EncodingContext) -> VegaLiteChart:
         raise ValueError(f"Unknown channel: {encoding.channel}")  # pragma: no cover
 
     @staticmethod
-    def __get_field_type(fields: list[Field], field_name: FieldName) -> str:
+    def __get_encoding_channel_of_field(
+        views: list[View], field_name: FieldName
+    ) -> EncodingChannel | None:
+        """
+        Returns the mark encoding channel for the field with the given name.
+
+        :param views: All the views in the spec to search for.
+        :param field_name: The name of the field to search for.
+        :return: The encoding channel of the field, or `None` if
+                 the field is not found.
+        """
+        for v in views:
+            for m in v.mark:
+                for e in m.encoding:
+                    if e.field == field_name:
+                        return e.channel
+
+        return None
+
+    @staticmethod
+    def __get_scales_of_spec(spec: SpecificationDict) -> list[Scale]:
+        """
+        Returns all the scales in the spec including the top-level
+        shared scale and the view-specific scales.
+
+        :param spec: The spec to search through for scales.
+        :return: A list of all the scales in the spec.
+        """
+        scales: list[Scale] = []
+
+        # Shared scales
+        for s in spec.scale or []:
+            scales.append(s)
+
+        # View-specific scales
+        for v in spec.view:
+            for s in v.scale or []:
+                scales.append(s)
+
+        return scales
+
+    @staticmethod
+    def __get_field_by_name(fields: list[Field], field_name: FieldName) -> Field:
+        """
+        Returns the field with the given name.
+
+        :param fields: The list of fields to search through.
+        :param field_name: The name of the field to search for.
+        :return: The field with the given name.
+        :raises ValueError: If the field is not found.
+        """
+        for f in fields:
+            if f.name == field_name:
+                return f
+
+        raise ValueError(f"Field {field_name} not found")
+
+    @staticmethod
+    def __get_field_type(spec: SpecificationDict, field_name: FieldName) -> str:
         """
         Returns the type of the field with the given name.
         Needed to map from Draco-spec data types to Vega-Lite data types.
+        Also takes the scale's type into account which is associated with the field.
 
-        :param fields: list of fields in the specification
+        :param spec: the whole specification
         :param field_name: name of the field to look up
         :return: the type of the field
-        :raises ValueError: if the field is not found
         """
+        cls = AltairRenderer
+        __DEFAULT_KEY__ = "default"
+        # Multi-criteria lookup to determine the type of the field
+        # based on the scale type (if any) AND the raw data type.
         renames = {
-            "number": "quantitative",
-            "string": "nominal",
-            "boolean": "nominal",
-            "datetime": "temporal",
+            "linear": {
+                "number": "quantitative",
+                "string": "nominal",
+                "boolean": "nominal",
+                "datetime": "temporal",
+            },
+            "log": {
+                "number": "quantitative",
+                "string": "nominal",
+                "boolean": "nominal",
+                "datetime": "temporal",
+            },
+            "ordinal": {
+                "number": "quantitative",
+                "string": "nominal",
+                "boolean": "nominal",
+                "datetime": "temporal",
+            },
+            "categorical": {
+                "number": "nominal",
+                "string": "nominal",
+                "boolean": "nominal",
+                "datetime": "nominal",
+            },
+            __DEFAULT_KEY__: {
+                "number": "quantitative",
+                "string": "nominal",
+                "boolean": "nominal",
+                "datetime": "temporal",
+            },
         }
-        field_by_name = [f for f in fields if f.name == field_name]
-        if len(field_by_name) == 0:
-            raise ValueError(f"Unknown field: {field_name}")
-        return renames[field_by_name[0].type]
+
+        field = cls.__get_field_by_name(spec.field, field_name)
+        # Look for the encoding channel of the field, so we can match it to a scale
+        channel = cls.__get_encoding_channel_of_field(spec.view, field_name)
+        # We might have no channel in case of a faceted field
+        # --> we map based on the raw data type
+        if channel is None:
+            return renames[__DEFAULT_KEY__][field.type]
+
+        # Look for the scale associated with `channel`
+        scale = cls.__get_scale_for_encoding(channel, cls.__get_scales_of_spec(spec))
+        # We might have no scale present for the channel
+        # --> we map based on the raw data type
+        key = scale.type if scale is not None else __DEFAULT_KEY__
+        return renames[key][field.type]
 
     @staticmethod
     def __get_scale_for_encoding(

From bd7ca3baac790d5365aeec987674cb96fca9aba4 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?P=C3=A9ter=20Ferenc=20Gyarmati?= <dev.petergy@gmail.com>
Date: Tue, 13 Dec 2022 23:57:12 +0100
Subject: [PATCH 44/45] refactor: adjust dict in `__get_field_type`

---
 draco/renderer/altair/altair_renderer.py | 13 +++++--------
 1 file changed, 5 insertions(+), 8 deletions(-)

diff --git a/draco/renderer/altair/altair_renderer.py b/draco/renderer/altair/altair_renderer.py
index 3d37c6f7..484a522f 100644
--- a/draco/renderer/altair/altair_renderer.py
+++ b/draco/renderer/altair/altair_renderer.py
@@ -468,21 +468,18 @@ def __get_field_type(spec: SpecificationDict, field_name: FieldName) -> str:
         renames = {
             "linear": {
                 "number": "quantitative",
-                "string": "nominal",
-                "boolean": "nominal",
                 "datetime": "temporal",
             },
             "log": {
                 "number": "quantitative",
-                "string": "nominal",
-                "boolean": "nominal",
-                "datetime": "temporal",
+                "datetime": "quantitative",
             },
             "ordinal": {
-                "number": "quantitative",
+                "number": "ordinal",
+                # Accounting for colors
                 "string": "nominal",
-                "boolean": "nominal",
-                "datetime": "temporal",
+                "boolean": "ordinal",
+                "datetime": "ordinal",
             },
             "categorical": {
                 "number": "nominal",

From 25659fe767f487ace762728bff39cb9f17e2e243 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?P=C3=A9ter=20Ferenc=20Gyarmati?= <dev.petergy@gmail.com>
Date: Wed, 14 Dec 2022 10:36:55 +0100
Subject: [PATCH 45/45] fix: distinguish `__get_scale_for_encoding` and
 `__get_alt_scale_for_encoding`

---
 draco/renderer/altair/altair_renderer.py      | 41 ++++++++++++++-----
 .../renderer/altair/test_altair_renderer.py   | 14 +++----
 2 files changed, 37 insertions(+), 18 deletions(-)

diff --git a/draco/renderer/altair/altair_renderer.py b/draco/renderer/altair/altair_renderer.py
index 484a522f..457b1b69 100644
--- a/draco/renderer/altair/altair_renderer.py
+++ b/draco/renderer/altair/altair_renderer.py
@@ -312,7 +312,9 @@ def __visit_encoding_cartesian(self, ctx: EncodingContext) -> VegaLiteChart:
             custom_args["bin"] = alt.BinParams(maxbins=encoding.binning)
 
         if view.scale is not None:
-            scale_or_none = self.__get_scale_for_encoding(encoding.channel, view.scale)
+            scale_or_none = self.__get_alt_scale_for_encoding(
+                encoding.channel, view.scale
+            )
             if scale_or_none is not None:
                 custom_args["scale"] = scale_or_none
 
@@ -362,7 +364,9 @@ def __visit_encoding_polar(self, ctx: EncodingContext) -> VegaLiteChart:
             custom_args["type"] = self.__get_field_type(spec, encoding.field)
 
         if view.scale is not None:
-            scale_or_none = self.__get_scale_for_encoding(encoding.channel, view.scale)
+            scale_or_none = self.__get_alt_scale_for_encoding(
+                encoding.channel, view.scale
+            )
             if scale_or_none is not None:
                 custom_args["scale"] = scale_or_none
 
@@ -476,8 +480,7 @@ def __get_field_type(spec: SpecificationDict, field_name: FieldName) -> str:
             },
             "ordinal": {
                 "number": "ordinal",
-                # Accounting for colors
-                "string": "nominal",
+                "string": "ordinal",
                 "boolean": "ordinal",
                 "datetime": "ordinal",
             },
@@ -513,9 +516,25 @@ def __get_field_type(spec: SpecificationDict, field_name: FieldName) -> str:
     @staticmethod
     def __get_scale_for_encoding(
         channel: EncodingChannel, scales: list[Scale]
+    ) -> Scale | None:
+        """
+        Returns the `Scale` for the given encoding channel, if any.
+
+        :param channel: the channel for which to look up a scale
+        :param scales: the list of scales in the view
+        :return: the scale for the given channel, or None if no scale is found
+        """
+        for scale in scales:
+            if scale.channel == channel:
+                return scale
+        return None
+
+    @staticmethod
+    def __get_alt_scale_for_encoding(
+        channel: EncodingChannel, scales: list[Scale]
     ) -> alt.Scale | None:
         """
-        Returns the scale for the given encoding channel, if any.
+        Returns an `alt.Scale` for the given encoding channel, if any.
 
         :param channel: the channel for which to look up a scale
         :param scales: the list of scales in the view
@@ -524,9 +543,9 @@ def __get_scale_for_encoding(
         renames = {
             "categorical": "ordinal",
         }
-        for scale in scales:
-            if scale.channel == channel:
-                scale_args = scale.dict(exclude_none=True, exclude={"channel"})
-                scale_args["type"] = renames.get(scale.type, scale.type)
-                return alt.Scale(**scale_args)
-        return None
+        scale = AltairRenderer.__get_scale_for_encoding(channel, scales)
+        if scale is None:
+            return None
+        scale_args = scale.dict(exclude_none=True, exclude={"channel"})
+        scale_args["type"] = renames.get(scale.type, scale.type)
+        return alt.Scale(**scale_args)
diff --git a/draco/tests/renderer/altair/test_altair_renderer.py b/draco/tests/renderer/altair/test_altair_renderer.py
index 740ca64c..c21b056d 100644
--- a/draco/tests/renderer/altair/test_altair_renderer.py
+++ b/draco/tests/renderer/altair/test_altair_renderer.py
@@ -196,7 +196,7 @@ def specs_with_mark(mark: MarkType):
     "$schema": "https://vega.github.io/schema/vega-lite/v4.17.0.json",
     "config": {"view": {"continuousHeight": 300, "continuousWidth": 400}},
     "encoding": {
-        "x": {"field": "condition", "scale": {"type": "ordinal"}, "type": "nominal"},
+        "x": {"field": "condition", "scale": {"type": "ordinal"}, "type": "ordinal"},
         "y": {
             "aggregate": "mean",
             "field": "temperature",
@@ -234,7 +234,7 @@ def specs_with_mark(mark: MarkType):
     "$schema": "https://vega.github.io/schema/vega-lite/v4.17.0.json",
     "config": {"view": {"continuousHeight": 300, "continuousWidth": 400}},
     "encoding": {
-        "x": {"field": "condition", "scale": {"type": "ordinal"}, "type": "nominal"},
+        "x": {"field": "condition", "scale": {"type": "ordinal"}, "type": "ordinal"},
         "y": {
             "aggregate": "count",
             "scale": {"type": "linear", "zero": True},
@@ -746,7 +746,7 @@ def test_multi_mark(spec: dict, expected_vl: dict, renderer: AltairRenderer):
             "x": {
                 "field": "condition",
                 "scale": {"type": "ordinal"},
-                "type": "nominal",
+                "type": "ordinal",
             },
             "y": {"field": "wind", "scale": {"type": "linear"}, "type": "quantitative"},
         },
@@ -820,7 +820,7 @@ def test_facets(spec: dict, expected_vl: dict, renderer: AltairRenderer):
                 "x": {
                     "field": "condition",
                     "scale": {"type": "ordinal"},
-                    "type": "nominal",
+                    "type": "ordinal",
                 },
                 "y": {"aggregate": "count", "scale": {"type": "linear", "zero": True}},
             },
@@ -874,7 +874,7 @@ def test_facets(spec: dict, expected_vl: dict, renderer: AltairRenderer):
             "encoding": {
                 "x": {
                     "field": "condition",
-                    "type": "nominal",
+                    "type": "ordinal",
                     "scale": {"type": "ordinal"},
                 },
                 "y": {
@@ -1075,10 +1075,10 @@ def test_unknown_field_raises_value_error(renderer: AltairRenderer):
             "type": "quantitative",
             "scale": {"type": "linear", "zero": True},
         },
-        "text": {"field": "condition", "type": "nominal"},
+        "text": {"field": "condition", "type": "ordinal"},
         "theta": {
             "field": "condition",
-            "type": "nominal",
+            "type": "ordinal",
             "scale": {"type": "ordinal"},
         },
     },