docs/examples/jupyter-notebooks/tooltip_config.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Tooltip Customization"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "   <div id=\"AgZAts\"></div>\n",
       "   <script type=\"text/javascript\" data-lets-plot-script=\"library\">\n",
       "       if(!window.letsPlotCallQueue) {\n",
       "           window.letsPlotCallQueue = [];\n",
       "       }; \n",
       "       window.letsPlotCall = function(f) {\n",
       "           window.letsPlotCallQueue.push(f);\n",
       "       };\n",
       "       (function() {\n",
       "           var script = document.createElement(\"script\");\n",
       "           script.type = \"text/javascript\";\n",
       "           script.src = \"https://cdn.jsdelivr.net/gh/JetBrains/lets-plot@v4.0.0/js-package/distr/lets-plot.min.js\";\n",
       "           script.onload = function() {\n",
       "               window.letsPlotCall = function(f) {f();};\n",
       "               window.letsPlotCallQueue.forEach(function(f) {f();});\n",
       "               window.letsPlotCallQueue = [];\n",
       "               \n",
       "               \n",
       "           };\n",
       "           script.onerror = function(event) {\n",
       "               window.letsPlotCall = function(f) {};\n",
       "               window.letsPlotCallQueue = [];\n",
       "               var div = document.createElement(\"div\");\n",
       "               div.style.color = 'darkred';\n",
       "               div.textContent = 'Error loading Lets-Plot JS';\n",
       "               document.getElementById(\"AgZAts\").appendChild(div);\n",
       "           };\n",
       "           var e = document.getElementById(\"AgZAts\");\n",
       "           e.appendChild(script);\n",
       "       })();\n",
       "   </script>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "            <div id=\"kotlin_out_0\"/>\n",
       "            <script type=\"text/javascript\">\n",
       "                            if(!window.kotlinQueues) {\n",
       "                window.kotlinQueues = {};\n",
       "            }\n",
       "            if(!window.kotlinQueues[\"DataFrame\"]) {\n",
       "                var resQueue = [];\n",
       "                window.kotlinQueues[\"DataFrame\"] = resQueue;\n",
       "                window[\"call_DataFrame\"] = function(f) {\n",
       "                    resQueue.push(f);\n",
       "                }\n",
       "            }\n",
       "            (function (){\n",
       "                var modifiers = [(function(script) {\n",
       "    script.src = \"https://cdn.jsdelivr.net/gh/Kotlin/dataframe@3db46ccccaa1291c0627307d64133317f545e6ae/core/src/main/resources/init.js\"\n",
       "    script.type = \"text/javascript\";\n",
       "})];\n",
       "                var e = document.getElementById(\"kotlin_out_0\");\n",
       "                modifiers.forEach(function (gen) {\n",
       "                    var script = document.createElement(\"script\");\n",
       "                    gen(script)\n",
       "                    script.addEventListener(\"load\", function() {\n",
       "                        window[\"call_DataFrame\"] = function(f) {f();};\n",
       "                        window.kotlinQueues[\"DataFrame\"].forEach(function(f) {f();});\n",
       "                        window.kotlinQueues[\"DataFrame\"] = [];\n",
       "                    }, false);\n",
       "                    script.addEventListener(\"error\", function() {\n",
       "                        window[\"call_DataFrame\"] = function(f) {};\n",
       "                        window.kotlinQueues[\"DataFrame\"] = [];\n",
       "                        var div = document.createElement(\"div\");\n",
       "                        div.style.color = 'darkred';\n",
       "                        div.textContent = 'Error loading resource DataFrame';\n",
       "                        document.getElementById(\"kotlin_out_0\").appendChild(div);\n",
       "                    }, false);\n",
       "                    \n",
       "                    e.appendChild(script);\n",
       "                });\n",
       "            })();\n",
       "            </script>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "                <style>\n",
       "                :root {\n",
       "    --background: #fff;\n",
       "    --background-odd: #f5f5f5;\n",
       "    --background-hover: #d9edfd;\n",
       "    --header-text-color: #474747;\n",
       "    --text-color: #848484;\n",
       "    --text-color-dark: #000;\n",
       "    --text-color-medium: #737373;\n",
       "    --text-color-pale: #b3b3b3;\n",
       "    --inner-border-color: #aaa;\n",
       "    --bold-border-color: #000;\n",
       "    --link-color: #296eaa;\n",
       "    --link-color-pale: #296eaa;\n",
       "    --link-hover: #1a466c;\n",
       "}\n",
       "\n",
       ":root[theme=\"dark\"], :root [data-jp-theme-light=\"false\"], .dataframe_dark{\n",
       "    --background: #303030;\n",
       "    --background-odd: #3c3c3c;\n",
       "    --background-hover: #464646;\n",
       "    --header-text-color: #dddddd;\n",
       "    --text-color: #b3b3b3;\n",
       "    --text-color-dark: #dddddd;\n",
       "    --text-color-medium: #b2b2b2;\n",
       "    --text-color-pale: #737373;\n",
       "    --inner-border-color: #707070;\n",
       "    --bold-border-color: #777777;\n",
       "    --link-color: #008dc0;\n",
       "    --link-color-pale: #97e1fb;\n",
       "    --link-hover: #00688e;\n",
       "}\n",
       "\n",
       "p.dataframe_description {\n",
       "    color: var(--text-color-dark);\n",
       "}\n",
       "\n",
       "table.dataframe {\n",
       "    font-family: \"Helvetica Neue\", Helvetica, Arial, sans-serif;\n",
       "    font-size: 12px;\n",
       "    background-color: var(--background);\n",
       "    color: var(--text-color-dark);\n",
       "    border: none;\n",
       "    border-collapse: collapse;\n",
       "}\n",
       "\n",
       "table.dataframe th, td {\n",
       "    padding: 6px;\n",
       "    border: 1px solid transparent;\n",
       "    text-align: left;\n",
       "}\n",
       "\n",
       "table.dataframe th {\n",
       "    background-color: var(--background);\n",
       "    color: var(--header-text-color);\n",
       "}\n",
       "\n",
       "table.dataframe td {\n",
       "    vertical-align: top;\n",
       "}\n",
       "\n",
       "table.dataframe th.bottomBorder {\n",
       "    border-bottom-color: var(--bold-border-color);\n",
       "}\n",
       "\n",
       "table.dataframe tbody > tr:nth-child(odd) {\n",
       "    background: var(--background-odd);\n",
       "}\n",
       "\n",
       "table.dataframe tbody > tr:nth-child(even) {\n",
       "    background: var(--background);\n",
       "}\n",
       "\n",
       "table.dataframe tbody > tr:hover {\n",
       "    background: var(--background-hover);\n",
       "}\n",
       "\n",
       "table.dataframe a {\n",
       "    cursor: pointer;\n",
       "    color: var(--link-color);\n",
       "    text-decoration: none;\n",
       "}\n",
       "\n",
       "table.dataframe tr:hover > td a {\n",
       "    color: var(--link-color-pale);\n",
       "}\n",
       "\n",
       "table.dataframe a:hover {\n",
       "    color: var(--link-hover);\n",
       "    text-decoration: underline;\n",
       "}\n",
       "\n",
       "table.dataframe img {\n",
       "    max-width: fit-content;\n",
       "}\n",
       "\n",
       "table.dataframe th.complex {\n",
       "    background-color: var(--background);\n",
       "    border: 1px solid var(--background);\n",
       "}\n",
       "\n",
       "table.dataframe .leftBorder {\n",
       "    border-left-color: var(--inner-border-color);\n",
       "}\n",
       "\n",
       "table.dataframe .rightBorder {\n",
       "    border-right-color: var(--inner-border-color);\n",
       "}\n",
       "\n",
       "table.dataframe .rightAlign {\n",
       "    text-align: right;\n",
       "}\n",
       "\n",
       "table.dataframe .expanderSvg {\n",
       "    width: 8px;\n",
       "    height: 8px;\n",
       "    margin-right: 3px;\n",
       "}\n",
       "\n",
       "table.dataframe .expander {\n",
       "    display: flex;\n",
       "    align-items: center;\n",
       "}\n",
       "\n",
       "/* formatting */\n",
       "\n",
       "table.dataframe .null {\n",
       "    color: var(--text-color-pale);\n",
       "}\n",
       "\n",
       "table.dataframe .structural {\n",
       "    color: var(--text-color-medium);\n",
       "    font-weight: bold;\n",
       "}\n",
       "\n",
       "table.dataframe .dataFrameCaption {\n",
       "    font-weight: bold;\n",
       "}\n",
       "\n",
       "table.dataframe .numbers {\n",
       "    color: var(--text-color-dark);\n",
       "}\n",
       "\n",
       "table.dataframe td:hover .formatted .structural, .null {\n",
       "    color: var(--text-color-dark);\n",
       "}\n",
       "\n",
       "table.dataframe tr:hover .formatted .structural, .null {\n",
       "    color: var(--text-color-dark);\n",
       "}\n",
       "\n",
       "\n",
       "                </style>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "%useLatestDescriptors\n",
    "%use lets-plot\n",
    "%use dataframe"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Lets-Plot Kotlin API v.4.4.2. Frontend: Notebook with dynamically loaded JS. Lets-Plot JS v.4.0.0."
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "LetsPlot.getInfo()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/kotlindataframe+json": "{\"nrow\":5,\"ncol\":12,\"columns\":[\"untitled\",\"manufacturer\",\"model\",\"displ\",\"year\",\"cyl\",\"trans\",\"drv\",\"cty\",\"hwy\",\"fl\",\"class\"],\"kotlin_dataframe\":[{\"untitled\":1,\"manufacturer\":\"audi\",\"model\":\"a4\",\"displ\":1.8,\"year\":1999,\"cyl\":4,\"trans\":\"auto(l5)\",\"drv\":\"f\",\"cty\":18,\"hwy\":29,\"fl\":\"p\",\"class\":\"compact\"},{\"untitled\":2,\"manufacturer\":\"audi\",\"model\":\"a4\",\"displ\":1.8,\"year\":1999,\"cyl\":4,\"trans\":\"manual(m5)\",\"drv\":\"f\",\"cty\":21,\"hwy\":29,\"fl\":\"p\",\"class\":\"compact\"},{\"untitled\":3,\"manufacturer\":\"audi\",\"model\":\"a4\",\"displ\":2.0,\"year\":2008,\"cyl\":4,\"trans\":\"manual(m6)\",\"drv\":\"f\",\"cty\":20,\"hwy\":31,\"fl\":\"p\",\"class\":\"compact\"},{\"untitled\":4,\"manufacturer\":\"audi\",\"model\":\"a4\",\"displ\":2.0,\"year\":2008,\"cyl\":4,\"trans\":\"auto(av)\",\"drv\":\"f\",\"cty\":21,\"hwy\":30,\"fl\":\"p\",\"class\":\"compact\"},{\"untitled\":5,\"manufacturer\":\"audi\",\"model\":\"a4\",\"displ\":2.8,\"year\":1999,\"cyl\":6,\"trans\":\"auto(l5)\",\"drv\":\"f\",\"cty\":16,\"hwy\":26,\"fl\":\"p\",\"class\":\"compact\"}]}",
      "text/html": [
       "        <html>\n",
       "        <head>\n",
       "            <style type=\"text/css\">\n",
       "                :root {\n",
       "    --background: #fff;\n",
       "    --background-odd: #f5f5f5;\n",
       "    --background-hover: #d9edfd;\n",
       "    --header-text-color: #474747;\n",
       "    --text-color: #848484;\n",
       "    --text-color-dark: #000;\n",
       "    --text-color-medium: #737373;\n",
       "    --text-color-pale: #b3b3b3;\n",
       "    --inner-border-color: #aaa;\n",
       "    --bold-border-color: #000;\n",
       "    --link-color: #296eaa;\n",
       "    --link-color-pale: #296eaa;\n",
       "    --link-hover: #1a466c;\n",
       "}\n",
       "\n",
       ":root[theme=\"dark\"], :root [data-jp-theme-light=\"false\"], .dataframe_dark{\n",
       "    --background: #303030;\n",
       "    --background-odd: #3c3c3c;\n",
       "    --background-hover: #464646;\n",
       "    --header-text-color: #dddddd;\n",
       "    --text-color: #b3b3b3;\n",
       "    --text-color-dark: #dddddd;\n",
       "    --text-color-medium: #b2b2b2;\n",
       "    --text-color-pale: #737373;\n",
       "    --inner-border-color: #707070;\n",
       "    --bold-border-color: #777777;\n",
       "    --link-color: #008dc0;\n",
       "    --link-color-pale: #97e1fb;\n",
       "    --link-hover: #00688e;\n",
       "}\n",
       "\n",
       "p.dataframe_description {\n",
       "    color: var(--text-color-dark);\n",
       "}\n",
       "\n",
       "table.dataframe {\n",
       "    font-family: \"Helvetica Neue\", Helvetica, Arial, sans-serif;\n",
       "    font-size: 12px;\n",
       "    background-color: var(--background);\n",
       "    color: var(--text-color-dark);\n",
       "    border: none;\n",
       "    border-collapse: collapse;\n",
       "}\n",
       "\n",
       "table.dataframe th, td {\n",
       "    padding: 6px;\n",
       "    border: 1px solid transparent;\n",
       "    text-align: left;\n",
       "}\n",
       "\n",
       "table.dataframe th {\n",
       "    background-color: var(--background);\n",
       "    color: var(--header-text-color);\n",
       "}\n",
       "\n",
       "table.dataframe td {\n",
       "    vertical-align: top;\n",
       "}\n",
       "\n",
       "table.dataframe th.bottomBorder {\n",
       "    border-bottom-color: var(--bold-border-color);\n",
       "}\n",
       "\n",
       "table.dataframe tbody > tr:nth-child(odd) {\n",
       "    background: var(--background-odd);\n",
       "}\n",
       "\n",
       "table.dataframe tbody > tr:nth-child(even) {\n",
       "    background: var(--background);\n",
       "}\n",
       "\n",
       "table.dataframe tbody > tr:hover {\n",
       "    background: var(--background-hover);\n",
       "}\n",
       "\n",
       "table.dataframe a {\n",
       "    cursor: pointer;\n",
       "    color: var(--link-color);\n",
       "    text-decoration: none;\n",
       "}\n",
       "\n",
       "table.dataframe tr:hover > td a {\n",
       "    color: var(--link-color-pale);\n",
       "}\n",
       "\n",
       "table.dataframe a:hover {\n",
       "    color: var(--link-hover);\n",
       "    text-decoration: underline;\n",
       "}\n",
       "\n",
       "table.dataframe img {\n",
       "    max-width: fit-content;\n",
       "}\n",
       "\n",
       "table.dataframe th.complex {\n",
       "    background-color: var(--background);\n",
       "    border: 1px solid var(--background);\n",
       "}\n",
       "\n",
       "table.dataframe .leftBorder {\n",
       "    border-left-color: var(--inner-border-color);\n",
       "}\n",
       "\n",
       "table.dataframe .rightBorder {\n",
       "    border-right-color: var(--inner-border-color);\n",
       "}\n",
       "\n",
       "table.dataframe .rightAlign {\n",
       "    text-align: right;\n",
       "}\n",
       "\n",
       "table.dataframe .expanderSvg {\n",
       "    width: 8px;\n",
       "    height: 8px;\n",
       "    margin-right: 3px;\n",
       "}\n",
       "\n",
       "table.dataframe .expander {\n",
       "    display: flex;\n",
       "    align-items: center;\n",
       "}\n",
       "\n",
       "/* formatting */\n",
       "\n",
       "table.dataframe .null {\n",
       "    color: var(--text-color-pale);\n",
       "}\n",
       "\n",
       "table.dataframe .structural {\n",
       "    color: var(--text-color-medium);\n",
       "    font-weight: bold;\n",
       "}\n",
       "\n",
       "table.dataframe .dataFrameCaption {\n",
       "    font-weight: bold;\n",
       "}\n",
       "\n",
       "table.dataframe .numbers {\n",
       "    color: var(--text-color-dark);\n",
       "}\n",
       "\n",
       "table.dataframe td:hover .formatted .structural, .null {\n",
       "    color: var(--text-color-dark);\n",
       "}\n",
       "\n",
       "table.dataframe tr:hover .formatted .structural, .null {\n",
       "    color: var(--text-color-dark);\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "\n",
       "            </style>\n",
       "        </head>\n",
       "        <body>\n",
       "            \n",
       "<table class=\"dataframe\" id=\"df_1660944384\"></table>\n",
       "\n",
       "<p class=\"dataframe_description\">DataFrame: rowsCount = 5, columnsCount = 12</p>\n",
       "        </body>\n",
       "        <script>\n",
       "            \n",
       "/*<!--*/\n",
       "call_DataFrame(function() { DataFrame.addTable({ cols: [{ name: \"<span title=\\\"untitled: Int\\\">untitled</span>\", children: [], rightAlign: true, values: [\"<span class=\\\"formatted\\\" title=\\\"\\\"><span class=\\\"numbers\\\">1</span></span>\",\"<span class=\\\"formatted\\\" title=\\\"\\\"><span class=\\\"numbers\\\">2</span></span>\",\"<span class=\\\"formatted\\\" title=\\\"\\\"><span class=\\\"numbers\\\">3</span></span>\",\"<span class=\\\"formatted\\\" title=\\\"\\\"><span class=\\\"numbers\\\">4</span></span>\",\"<span class=\\\"formatted\\\" title=\\\"\\\"><span class=\\\"numbers\\\">5</span></span>\"] }, \n",
       "{ name: \"<span title=\\\"manufacturer: String\\\">manufacturer</span>\", children: [], rightAlign: false, values: [\"audi\",\"audi\",\"audi\",\"audi\",\"audi\"] }, \n",
       "{ name: \"<span title=\\\"model: String\\\">model</span>\", children: [], rightAlign: false, values: [\"a4\",\"a4\",\"a4\",\"a4\",\"a4\"] }, \n",
       "{ name: \"<span title=\\\"displ: Double\\\">displ</span>\", children: [], rightAlign: true, values: [\"<span class=\\\"formatted\\\" title=\\\"\\\"><span class=\\\"numbers\\\">1.8</span></span>\",\"<span class=\\\"formatted\\\" title=\\\"\\\"><span class=\\\"numbers\\\">1.8</span></span>\",\"<span class=\\\"formatted\\\" title=\\\"\\\"><span class=\\\"numbers\\\">2.0</span></span>\",\"<span class=\\\"formatted\\\" title=\\\"\\\"><span class=\\\"numbers\\\">2.0</span></span>\",\"<span class=\\\"formatted\\\" title=\\\"\\\"><span class=\\\"numbers\\\">2.8</span></span>\"] }, \n",
       "{ name: \"<span title=\\\"year: Int\\\">year</span>\", children: [], rightAlign: true, values: [\"<span class=\\\"formatted\\\" title=\\\"\\\"><span class=\\\"numbers\\\">1999</span></span>\",\"<span class=\\\"formatted\\\" title=\\\"\\\"><span class=\\\"numbers\\\">1999</span></span>\",\"<span class=\\\"formatted\\\" title=\\\"\\\"><span class=\\\"numbers\\\">2008</span></span>\",\"<span class=\\\"formatted\\\" title=\\\"\\\"><span class=\\\"numbers\\\">2008</span></span>\",\"<span class=\\\"formatted\\\" title=\\\"\\\"><span class=\\\"numbers\\\">1999</span></span>\"] }, \n",
       "{ name: \"<span title=\\\"cyl: Int\\\">cyl</span>\", children: [], rightAlign: true, values: [\"<span class=\\\"formatted\\\" title=\\\"\\\"><span class=\\\"numbers\\\">4</span></span>\",\"<span class=\\\"formatted\\\" title=\\\"\\\"><span class=\\\"numbers\\\">4</span></span>\",\"<span class=\\\"formatted\\\" title=\\\"\\\"><span class=\\\"numbers\\\">4</span></span>\",\"<span class=\\\"formatted\\\" title=\\\"\\\"><span class=\\\"numbers\\\">4</span></span>\",\"<span class=\\\"formatted\\\" title=\\\"\\\"><span class=\\\"numbers\\\">6</span></span>\"] }, \n",
       "{ name: \"<span title=\\\"trans: String\\\">trans</span>\", children: [], rightAlign: false, values: [\"auto(l5)\",\"manual(m5)\",\"manual(m6)\",\"auto(av)\",\"auto(l5)\"] }, \n",
       "{ name: \"<span title=\\\"drv: String\\\">drv</span>\", children: [], rightAlign: false, values: [\"f\",\"f\",\"f\",\"f\",\"f\"] }, \n",
       "{ name: \"<span title=\\\"cty: Int\\\">cty</span>\", children: [], rightAlign: true, values: [\"<span class=\\\"formatted\\\" title=\\\"\\\"><span class=\\\"numbers\\\">18</span></span>\",\"<span class=\\\"formatted\\\" title=\\\"\\\"><span class=\\\"numbers\\\">21</span></span>\",\"<span class=\\\"formatted\\\" title=\\\"\\\"><span class=\\\"numbers\\\">20</span></span>\",\"<span class=\\\"formatted\\\" title=\\\"\\\"><span class=\\\"numbers\\\">21</span></span>\",\"<span class=\\\"formatted\\\" title=\\\"\\\"><span class=\\\"numbers\\\">16</span></span>\"] }, \n",
       "{ name: \"<span title=\\\"hwy: Int\\\">hwy</span>\", children: [], rightAlign: true, values: [\"<span class=\\\"formatted\\\" title=\\\"\\\"><span class=\\\"numbers\\\">29</span></span>\",\"<span class=\\\"formatted\\\" title=\\\"\\\"><span class=\\\"numbers\\\">29</span></span>\",\"<span class=\\\"formatted\\\" title=\\\"\\\"><span class=\\\"numbers\\\">31</span></span>\",\"<span class=\\\"formatted\\\" title=\\\"\\\"><span class=\\\"numbers\\\">30</span></span>\",\"<span class=\\\"formatted\\\" title=\\\"\\\"><span class=\\\"numbers\\\">26</span></span>\"] }, \n",
       "{ name: \"<span title=\\\"fl: String\\\">fl</span>\", children: [], rightAlign: false, values: [\"p\",\"p\",\"p\",\"p\",\"p\"] }, \n",
       "{ name: \"<span title=\\\"class: String\\\">class</span>\", children: [], rightAlign: false, values: [\"compact\",\"compact\",\"compact\",\"compact\",\"compact\"] }, \n",
       "], id: 1660944384, rootId: 1660944384, totalRows: 5 } ) });\n",
       "/*-->*/\n",
       "\n",
       "call_DataFrame(function() { DataFrame.renderTable(1660944384) });\n",
       "\n",
       "\n",
       "        </script>\n",
       "        </html>"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "var mpg_df = DataFrame.readCSV(\"https://raw.githubusercontent.com/JetBrains/lets-plot-kotlin/master/docs/examples/data/mpg.csv\")\n",
    "mpg_df.head()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "val mpg_dat = mpg_df.toMap()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "val p = letsPlot(mpg_dat) {x=\"displ\"; y=\"cty\"} + \n",
    "    scaleSize(range = 5 to 15, breaks = listOf(15, 40)) + ggsize(600, 350)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "   <div id=\"PjpEug\"></div>\n",
       "   <script type=\"text/javascript\" data-lets-plot-script=\"plot\">\n",
       "       (function() {\n",
       "           var plotSpec={\n",
       "\"mapping\":{\n",
       "\"x\":\"displ\",\n",
       "\"y\":\"cty\"\n",
       "},\n",
       "\"data\":{\n",
       "\"displ\":[1.8,1.8,2.0,2.0,2.8,2.8,3.1,1.8,1.8,2.0,2.0,2.8,2.8,3.1,3.1,2.8,3.1,4.2,5.3,5.3,5.3,5.7,6.0,5.7,5.7,6.2,6.2,7.0,5.3,5.3,5.7,6.5,2.4,2.4,3.1,3.5,3.6,2.4,3.0,3.3,3.3,3.3,3.3,3.3,3.8,3.8,3.8,4.0,3.7,3.7,3.9,3.9,4.7,4.7,4.7,5.2,5.2,3.9,4.7,4.7,4.7,5.2,5.7,5.9,4.7,4.7,4.7,4.7,4.7,4.7,5.2,5.2,5.7,5.9,4.6,5.4,5.4,4.0,4.0,4.0,4.0,4.6,5.0,4.2,4.2,4.6,4.6,4.6,5.4,5.4,3.8,3.8,4.0,4.0,4.6,4.6,4.6,4.6,5.4,1.6,1.6,1.6,1.6,1.6,1.8,1.8,1.8,2.0,2.4,2.4,2.4,2.4,2.5,2.5,3.3,2.0,2.0,2.0,2.0,2.7,2.7,2.7,3.0,3.7,4.0,4.7,4.7,4.7,5.7,6.1,4.0,4.2,4.4,4.6,5.4,5.4,5.4,4.0,4.0,4.6,5.0,2.4,2.4,2.5,2.5,3.5,3.5,3.0,3.0,3.5,3.3,3.3,4.0,5.6,3.1,3.8,3.8,3.8,5.3,2.5,2.5,2.5,2.5,2.5,2.5,2.2,2.2,2.5,2.5,2.5,2.5,2.5,2.5,2.7,2.7,3.4,3.4,4.0,4.7,2.2,2.2,2.4,2.4,3.0,3.0,3.5,2.2,2.2,2.4,2.4,3.0,3.0,3.3,1.8,1.8,1.8,1.8,1.8,4.7,5.7,2.7,2.7,2.7,3.4,3.4,4.0,4.0,2.0,2.0,2.0,2.0,2.8,1.9,2.0,2.0,2.0,2.0,2.5,2.5,2.8,2.8,1.9,1.9,2.0,2.0,2.5,2.5,1.8,1.8,2.0,2.0,2.8,2.8,3.6],\n",
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       "\"drv\":[\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"r\",\"r\",\"r\",\"r\",\"r\",\"r\",\"r\",\"r\",\"r\",\"r\",\"4\",\"4\",\"4\",\"4\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"r\",\"r\",\"r\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"r\",\"r\",\"r\",\"r\",\"r\",\"r\",\"r\",\"r\",\"r\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"r\",\"r\",\"r\",\"4\",\"4\",\"4\",\"4\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"4\",\"4\",\"4\",\"4\",\"f\",\"f\",\"f\",\"f\",\"f\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\"],\n",
       "\"hwy\":[29.0,29.0,31.0,30.0,26.0,26.0,27.0,26.0,25.0,28.0,27.0,25.0,25.0,25.0,25.0,24.0,25.0,23.0,20.0,15.0,20.0,17.0,17.0,26.0,23.0,26.0,25.0,24.0,19.0,14.0,15.0,17.0,27.0,30.0,26.0,29.0,26.0,24.0,24.0,22.0,22.0,24.0,24.0,17.0,22.0,21.0,23.0,23.0,19.0,18.0,17.0,17.0,19.0,19.0,12.0,17.0,15.0,17.0,17.0,12.0,17.0,16.0,18.0,15.0,16.0,12.0,17.0,17.0,16.0,12.0,15.0,16.0,17.0,15.0,17.0,17.0,18.0,17.0,19.0,17.0,19.0,19.0,17.0,17.0,17.0,16.0,16.0,17.0,15.0,17.0,26.0,25.0,26.0,24.0,21.0,22.0,23.0,22.0,20.0,33.0,32.0,32.0,29.0,32.0,34.0,36.0,36.0,29.0,26.0,27.0,30.0,31.0,26.0,26.0,28.0,26.0,29.0,28.0,27.0,24.0,24.0,24.0,22.0,19.0,20.0,17.0,12.0,19.0,18.0,14.0,15.0,18.0,18.0,15.0,17.0,16.0,18.0,17.0,19.0,19.0,17.0,29.0,27.0,31.0,32.0,27.0,26.0,26.0,25.0,25.0,17.0,17.0,20.0,18.0,26.0,26.0,27.0,28.0,25.0,25.0,24.0,27.0,25.0,26.0,23.0,26.0,26.0,26.0,26.0,25.0,27.0,25.0,27.0,20.0,20.0,19.0,17.0,20.0,17.0,29.0,27.0,31.0,31.0,26.0,26.0,28.0,27.0,29.0,31.0,31.0,26.0,26.0,27.0,30.0,33.0,35.0,37.0,35.0,15.0,18.0,20.0,20.0,22.0,17.0,19.0,18.0,20.0,29.0,26.0,29.0,29.0,24.0,44.0,29.0,26.0,29.0,29.0,29.0,29.0,23.0,24.0,44.0,41.0,29.0,26.0,28.0,29.0,29.0,29.0,28.0,29.0,26.0,26.0,26.0]\n",
       "},\n",
       "\"ggsize\":{\n",
       "\"width\":600.0,\n",
       "\"height\":350.0\n",
       "},\n",
       "\"kind\":\"plot\",\n",
       "\"scales\":[{\n",
       "\"aesthetic\":\"size\",\n",
       "\"breaks\":[15.0,40.0],\n",
       "\"range\":[5.0,15.0]\n",
       "}],\n",
       "\"layers\":[{\n",
       "\"mapping\":{\n",
       "\"fill\":\"drv\",\n",
       "\"size\":\"hwy\"\n",
       "},\n",
       "\"stat\":\"identity\",\n",
       "\"color\":\"white\",\n",
       "\"shape\":21.0,\n",
       "\"position\":\"identity\",\n",
       "\"geom\":\"point\",\n",
       "\"data\":{\n",
       "}\n",
       "}]\n",
       "};\n",
       "           var plotContainer = document.getElementById(\"PjpEug\");\n",
       "           window.letsPlotCall(function() {{\n",
       "               LetsPlot.buildPlotFromProcessedSpecs(plotSpec, -1, -1, plotContainer);\n",
       "           }});\n",
       "       })();    \n",
       "   </script>"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "// Default tooltips.\n",
    "p + geomPoint(shape=21, color=\"white\") {fill=\"drv\"; size=\"hwy\"}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "   <div id=\"Vqh6L2\"></div>\n",
       "   <script type=\"text/javascript\" data-lets-plot-script=\"plot\">\n",
       "       (function() {\n",
       "           var plotSpec={\n",
       "\"mapping\":{\n",
       "\"x\":\"displ\",\n",
       "\"y\":\"cty\"\n",
       "},\n",
       "\"data\":{\n",
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       "\"ggsize\":{\n",
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       "\"height\":350.0\n",
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       "\"kind\":\"plot\",\n",
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       "\"aesthetic\":\"size\",\n",
       "\"breaks\":[15.0,40.0],\n",
       "\"range\":[5.0,15.0]\n",
       "}],\n",
       "\"layers\":[{\n",
       "\"mapping\":{\n",
       "\"fill\":\"drv\",\n",
       "\"size\":\"hwy\"\n",
       "},\n",
       "\"stat\":\"identity\",\n",
       "\"color\":\"white\",\n",
       "\"shape\":21.0,\n",
       "\"position\":\"identity\",\n",
       "\"geom\":\"point\",\n",
       "\"tooltips\":\"none\",\n",
       "\"data\":{\n",
       "}\n",
       "}]\n",
       "};\n",
       "           var plotContainer = document.getElementById(\"Vqh6L2\");\n",
       "           window.letsPlotCall(function() {{\n",
       "               LetsPlot.buildPlotFromProcessedSpecs(plotSpec, -1, -1, plotContainer);\n",
       "           }});\n",
       "       })();    \n",
       "   </script>"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
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   ],
   "source": [
    "// No tooltips.\n",
    "p + geomPoint(shape=21, color=\"white\", tooltips=tooltipsNone) {fill=\"drv\"; size=\"hwy\"}"
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  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "   <div id=\"NmwCft\"></div>\n",
       "   <script type=\"text/javascript\" data-lets-plot-script=\"plot\">\n",
       "       (function() {\n",
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       "\"mapping\":{\n",
       "\"x\":\"displ\",\n",
       "\"y\":\"cty\"\n",
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       "\"ggsize\":{\n",
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       "\"height\":350.0\n",
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       "\"kind\":\"plot\",\n",
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       "\"layers\":[{\n",
       "\"mapping\":{\n",
       "\"fill\":\"drv\",\n",
       "\"size\":\"hwy\"\n",
       "},\n",
       "\"stat\":\"identity\",\n",
       "\"color\":\"white\",\n",
       "\"shape\":21.0,\n",
       "\"position\":\"identity\",\n",
       "\"geom\":\"point\",\n",
       "\"tooltips\":{\n",
       "\"formats\":[{\n",
       "\"field\":\"^size\",\n",
       "\"format\":\"{.0f} mpg\"\n",
       "}]\n",
       "},\n",
       "\"data\":{\n",
       "}\n",
       "}]\n",
       "};\n",
       "           var plotContainer = document.getElementById(\"NmwCft\");\n",
       "           window.letsPlotCall(function() {{\n",
       "               LetsPlot.buildPlotFromProcessedSpecs(plotSpec, -1, -1, plotContainer);\n",
       "           }});\n",
       "       })();    \n",
       "   </script>"
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     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
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   "source": [
    "// Change format for the \"size\" aesthetic which is already shown in the tooltip by default.\n",
    "p + geomPoint(shape=21,\n",
    "              color=\"white\",\n",
    "              tooltips=layerTooltips().format(\"^size\", \"{.0f} mpg\")) {fill=\"drv\"; size=\"hwy\"}"
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  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "   <div id=\"9gA37w\"></div>\n",
       "   <script type=\"text/javascript\" data-lets-plot-script=\"plot\">\n",
       "       (function() {\n",
       "           var plotSpec={\n",
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       "\"x\":\"displ\",\n",
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       "\"ggsize\":{\n",
       "\"width\":600.0,\n",
       "\"height\":350.0\n",
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       "\"kind\":\"plot\",\n",
       "\"scales\":[{\n",
       "\"aesthetic\":\"size\",\n",
       "\"breaks\":[15.0,40.0],\n",
       "\"range\":[5.0,15.0]\n",
       "}],\n",
       "\"layers\":[{\n",
       "\"mapping\":{\n",
       "\"fill\":\"drv\",\n",
       "\"size\":\"hwy\"\n",
       "},\n",
       "\"stat\":\"identity\",\n",
       "\"color\":\"white\",\n",
       "\"shape\":21.0,\n",
       "\"position\":\"identity\",\n",
       "\"geom\":\"point\",\n",
       "\"tooltips\":{\n",
       "\"lines\":[\"@class\"]\n",
       "},\n",
       "\"data\":{\n",
       "}\n",
       "}]\n",
       "};\n",
       "           var plotContainer = document.getElementById(\"9gA37w\");\n",
       "           window.letsPlotCall(function() {{\n",
       "               LetsPlot.buildPlotFromProcessedSpecs(plotSpec, -1, -1, plotContainer);\n",
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       "       })();    \n",
       "   </script>"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "// Show the vehicle \"class\" value in the tooltip (instead of the value of the \"size\" aesthetic).\n",
    "p + geomPoint(shape=21, \n",
    "              color=\"white\", \n",
    "              tooltips=layerTooltips().line(\"@class\")) {fill=\"drv\"; size=\"hwy\"}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "\"stat\":\"identity\",\n",
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       "           var plotContainer = document.getElementById(\"1C7Nw0\");\n",
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     "execution_count": 10,
     "metadata": {},
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    "              color=\"white\",\n",
    "              tooltips=layerTooltips()\n",
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    "                          .format(\"hwy\", \".0f\")\n",
    "                          .format(\"drv\", \"{}wd\")\n",
    "                          .line(\"@manufacturer @model\")\n",
    "                          .line(\"cty/hwy [mpg]|@cty/@hwy\")\n",
    "                          .line(\"@|@class\")\n",
    "                          .line(\"drive train|@drv\")\n",
    "                          .line(\"@|@year\")) {fill=\"drv\"; size=\"hwy\"}"
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  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
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   "execution_count": 12,
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       "},{\n",
       "\"field\":\"hwy\",\n",
       "\"format\":\".0f\"\n",
       "},{\n",
       "\"field\":\"drv\",\n",
       "\"format\":\"{}wd\"\n",
       "}],\n",
       "\"lines\":[\"@manufacturer @model\",\"cty/hwy [mpg]|@cty/@hwy\",\"@|@class\",\"drive train|@drv\",\"@|@year\"]\n",
       "},\n",
       "\"data\":{\n",
       "}\n",
       "}]\n",
       "};\n",
       "           var plotContainer = document.getElementById(\"mFOHZW\");\n",
       "           window.letsPlotCall(function() {{\n",
       "               LetsPlot.buildPlotFromProcessedSpecs(plotSpec, -1, -1, plotContainer);\n",
       "           }});\n",
       "       })();    \n",
       "   </script>"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "// Anchor the tooltip in the top-right corner of the plot.\n",
    "p + geomPoint(shape=21,\n",
    "              color=\"white\",\n",
    "              tooltips=layerTooltips()\n",
    "                          .anchor(\"top_right\")\n",
    "                          .minWidth(180)\n",
    "                          .format(\"cty\", \".0f\")\n",
    "                          .format(\"hwy\", \".0f\")\n",
    "                          .format(\"drv\", \"{}wd\")\n",
    "                          .line(\"@manufacturer @model\")\n",
    "                          .line(\"cty/hwy [mpg]|@cty/@hwy\")\n",
    "                          .line(\"@|@class\")\n",
    "                          .line(\"drive train|@drv\")\n",
    "                          .line(\"@|@year\")) {fill=\"drv\"; size=\"hwy\"}"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### \"Side\" tooltips."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "   <div id=\"7xFVb3\"></div>\n",
       "   <script type=\"text/javascript\" data-lets-plot-script=\"plot\">\n",
       "       (function() {\n",
       "           var plotSpec={\n",
       "\"mapping\":{\n",
       "\"x\":\"class\",\n",
       "\"y\":\"hwy\"\n",
       "},\n",
       "\"data\":{\n",
       "},\n",
       "\"ggsize\":{\n",
       "\"width\":600.0,\n",
       "\"height\":350.0\n",
       "},\n",
       "\"kind\":\"plot\",\n",
       "\"scales\":[],\n",
       "\"layers\":[{\n",
       "\"mapping\":{\n",
       "},\n",
       "\"stat\":\"boxplot\",\n",
       "\"position\":\"dodge\",\n",
       "\"geom\":\"boxplot\",\n",
       "\"data\":{\n",
       "\"..middle..\":[27.0,27.0,17.5,23.0,17.0,25.0,26.0],\n",
       "\"..upper..\":[29.0,29.0,19.0,24.0,18.0,26.0,30.5],\n",
       "\"..ymax..\":[33.0,32.0,22.0,24.0,20.0,26.0,36.0],\n",
       "\"..lower..\":[26.0,26.0,17.0,22.0,16.0,24.0,24.5],\n",
       "\"..ymin..\":[23.0,23.0,14.0,21.0,15.0,23.0,20.0],\n",
       "\"class\":[\"compact\",\"midsize\",\"suv\",\"minivan\",\"pickup\",\"2seater\",\"subcompact\"]\n",
       "}\n",
       "},{\n",
       "\"mapping\":{\n",
       "},\n",
       "\"stat\":\"boxplot_outlier\",\n",
       "\"show_legend\":false,\n",
       "\"position\":\"dodge\",\n",
       "\"geom\":\"point\",\n",
       "\"data\":{\n",
       "\"..middle..\":[27.0,27.0,27.0,27.0,27.0,17.5,17.5,17.5,17.5,17.5,17.5,17.5,17.5,23.0,17.0,17.0,17.0,17.0,25.0,26.0,26.0],\n",
       "\"..upper..\":[29.0,29.0,29.0,29.0,29.0,19.0,19.0,19.0,19.0,19.0,19.0,19.0,19.0,24.0,18.0,18.0,18.0,18.0,26.0,30.5,30.5],\n",
       "\"..ymax..\":[33.0,33.0,33.0,33.0,32.0,22.0,22.0,22.0,22.0,22.0,22.0,22.0,22.0,24.0,20.0,20.0,20.0,20.0,26.0,36.0,36.0],\n",
       "\"..lower..\":[26.0,26.0,26.0,26.0,26.0,17.0,17.0,17.0,17.0,17.0,17.0,17.0,17.0,22.0,16.0,16.0,16.0,16.0,24.0,24.5,24.5],\n",
       "\"..ymin..\":[23.0,23.0,23.0,23.0,23.0,14.0,14.0,14.0,14.0,14.0,14.0,14.0,14.0,21.0,15.0,15.0,15.0,15.0,23.0,20.0,20.0],\n",
       "\"hwy\":[35.0,37.0,35.0,44.0,NaN,12.0,12.0,25.0,24.0,27.0,25.0,26.0,23.0,17.0,12.0,12.0,12.0,22.0,NaN,44.0,41.0],\n",
       "\"class\":[\"compact\",\"compact\",\"compact\",\"compact\",\"midsize\",\"suv\",\"suv\",\"suv\",\"suv\",\"suv\",\"suv\",\"suv\",\"suv\",\"minivan\",\"pickup\",\"pickup\",\"pickup\",\"pickup\",\"2seater\",\"subcompact\",\"subcompact\"]\n",
       "}\n",
       "}],\n",
       "\"theme\":{\n",
       "\"legend_position\":\"none\"\n",
       "}\n",
       "};\n",
       "           var plotContainer = document.getElementById(\"7xFVb3\");\n",
       "           window.letsPlotCall(function() {{\n",
       "               LetsPlot.buildPlotFromProcessedSpecs(plotSpec, -1, -1, plotContainer);\n",
       "           }});\n",
       "       })();    \n",
       "   </script>"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "val p2 = letsPlot(mpg_dat) {x=\"class\"; y=\"hwy\"} + theme().legendPositionNone() + ggsize(600, 350)\n",
    "\n",
    "// Default tooltips\n",
    "p2 + geomBoxplot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "   <div id=\"p3WOce\"></div>\n",
       "   <script type=\"text/javascript\" data-lets-plot-script=\"plot\">\n",
       "       (function() {\n",
       "           var plotSpec={\n",
       "\"mapping\":{\n",
       "\"x\":\"class\",\n",
       "\"y\":\"hwy\"\n",
       "},\n",
       "\"data\":{\n",
       "},\n",
       "\"ggsize\":{\n",
       "\"width\":600.0,\n",
       "\"height\":350.0\n",
       "},\n",
       "\"kind\":\"plot\",\n",
       "\"scales\":[],\n",
       "\"layers\":[{\n",
       "\"mapping\":{\n",
       "},\n",
       "\"stat\":\"boxplot\",\n",
       "\"position\":\"dodge\",\n",
       "\"geom\":\"boxplot\",\n",
       "\"tooltips\":{\n",
       "\"formats\":[{\n",
       "\"field\":\"^Y\",\n",
       "\"format\":\"{.0f}\"\n",
       "},{\n",
       "\"field\":\"^middle\",\n",
       "\"format\":\".2f\"\n",
       "},{\n",
       "\"field\":\"^ymin\",\n",
       "\"format\":\"min: {}\"\n",
       "},{\n",
       "\"field\":\"^ymax\",\n",
       "\"format\":\"max: {}\"\n",
       "}]\n",
       "},\n",
       "\"data\":{\n",
       "\"..middle..\":[27.0,27.0,17.5,23.0,17.0,25.0,26.0],\n",
       "\"..upper..\":[29.0,29.0,19.0,24.0,18.0,26.0,30.5],\n",
       "\"..ymax..\":[33.0,32.0,22.0,24.0,20.0,26.0,36.0],\n",
       "\"..lower..\":[26.0,26.0,17.0,22.0,16.0,24.0,24.5],\n",
       "\"..ymin..\":[23.0,23.0,14.0,21.0,15.0,23.0,20.0],\n",
       "\"class\":[\"compact\",\"midsize\",\"suv\",\"minivan\",\"pickup\",\"2seater\",\"subcompact\"]\n",
       "}\n",
       "},{\n",
       "\"mapping\":{\n",
       "},\n",
       "\"stat\":\"boxplot_outlier\",\n",
       "\"show_legend\":false,\n",
       "\"position\":\"dodge\",\n",
       "\"geom\":\"point\",\n",
       "\"data\":{\n",
       "\"..middle..\":[27.0,27.0,27.0,27.0,27.0,17.5,17.5,17.5,17.5,17.5,17.5,17.5,17.5,23.0,17.0,17.0,17.0,17.0,25.0,26.0,26.0],\n",
       "\"..upper..\":[29.0,29.0,29.0,29.0,29.0,19.0,19.0,19.0,19.0,19.0,19.0,19.0,19.0,24.0,18.0,18.0,18.0,18.0,26.0,30.5,30.5],\n",
       "\"..ymax..\":[33.0,33.0,33.0,33.0,32.0,22.0,22.0,22.0,22.0,22.0,22.0,22.0,22.0,24.0,20.0,20.0,20.0,20.0,26.0,36.0,36.0],\n",
       "\"..lower..\":[26.0,26.0,26.0,26.0,26.0,17.0,17.0,17.0,17.0,17.0,17.0,17.0,17.0,22.0,16.0,16.0,16.0,16.0,24.0,24.5,24.5],\n",
       "\"..ymin..\":[23.0,23.0,23.0,23.0,23.0,14.0,14.0,14.0,14.0,14.0,14.0,14.0,14.0,21.0,15.0,15.0,15.0,15.0,23.0,20.0,20.0],\n",
       "\"hwy\":[35.0,37.0,35.0,44.0,NaN,12.0,12.0,25.0,24.0,27.0,25.0,26.0,23.0,17.0,12.0,12.0,12.0,22.0,NaN,44.0,41.0],\n",
       "\"class\":[\"compact\",\"compact\",\"compact\",\"compact\",\"midsize\",\"suv\",\"suv\",\"suv\",\"suv\",\"suv\",\"suv\",\"suv\",\"suv\",\"minivan\",\"pickup\",\"pickup\",\"pickup\",\"pickup\",\"2seater\",\"subcompact\",\"subcompact\"]\n",
       "}\n",
       "}],\n",
       "\"theme\":{\n",
       "\"legend_position\":\"none\"\n",
       "}\n",
       "};\n",
       "           var plotContainer = document.getElementById(\"p3WOce\");\n",
       "           window.letsPlotCall(function() {{\n",
       "               LetsPlot.buildPlotFromProcessedSpecs(plotSpec, -1, -1, plotContainer);\n",
       "           }});\n",
       "       })();    \n",
       "   </script>"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "// Configure text in outlier tootips using the 'format()' function.\n",
    "p2 + geomBoxplot(tooltips=layerTooltips()\n",
    "                    .format(\"^Y\", \"{.0f}\")       // all Y-positionals (note: no 'labels')\n",
    "                    .format(\"^middle\", \".2f\")    // different precision for 'middle' (note: default 'label')\n",
    "                    .format(\"^ymin\", \"min: {}\")  // ymin/ymax aesthetics:\n",
    "                    .format(\"^ymax\", \"max: {}\")) //  - add custom 'label'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "   <div id=\"srcR2b\"></div>\n",
       "   <script type=\"text/javascript\" data-lets-plot-script=\"plot\">\n",
       "       (function() {\n",
       "           var plotSpec={\n",
       "\"mapping\":{\n",
       "\"x\":\"class\",\n",
       "\"y\":\"hwy\"\n",
       "},\n",
       "\"data\":{\n",
       "},\n",
       "\"ggsize\":{\n",
       "\"width\":600.0,\n",
       "\"height\":350.0\n",
       "},\n",
       "\"kind\":\"plot\",\n",
       "\"scales\":[],\n",
       "\"layers\":[{\n",
       "\"mapping\":{\n",
       "},\n",
       "\"stat\":\"boxplot\",\n",
       "\"position\":\"dodge\",\n",
       "\"geom\":\"boxplot\",\n",
       "\"tooltips\":{\n",
       "\"tooltip_anchor\":\"top_center\",\n",
       "\"formats\":[{\n",
       "\"field\":\"^Y\",\n",
       "\"format\":\".0f\"\n",
       "},{\n",
       "\"field\":\"^middle\",\n",
       "\"format\":\".2f\"\n",
       "}],\n",
       "\"lines\":[\"min/max|^ymin/^ymax\",\"lower/upper|^lower/^upper\",\"@|^middle\"]\n",
       "},\n",
       "\"data\":{\n",
       "\"..middle..\":[27.0,27.0,17.5,23.0,17.0,25.0,26.0],\n",
       "\"..upper..\":[29.0,29.0,19.0,24.0,18.0,26.0,30.5],\n",
       "\"..ymax..\":[33.0,32.0,22.0,24.0,20.0,26.0,36.0],\n",
       "\"..lower..\":[26.0,26.0,17.0,22.0,16.0,24.0,24.5],\n",
       "\"..ymin..\":[23.0,23.0,14.0,21.0,15.0,23.0,20.0],\n",
       "\"class\":[\"compact\",\"midsize\",\"suv\",\"minivan\",\"pickup\",\"2seater\",\"subcompact\"]\n",
       "}\n",
       "},{\n",
       "\"mapping\":{\n",
       "},\n",
       "\"stat\":\"boxplot_outlier\",\n",
       "\"show_legend\":false,\n",
       "\"position\":\"dodge\",\n",
       "\"geom\":\"point\",\n",
       "\"data\":{\n",
       "\"..middle..\":[27.0,27.0,27.0,27.0,27.0,17.5,17.5,17.5,17.5,17.5,17.5,17.5,17.5,23.0,17.0,17.0,17.0,17.0,25.0,26.0,26.0],\n",
       "\"..upper..\":[29.0,29.0,29.0,29.0,29.0,19.0,19.0,19.0,19.0,19.0,19.0,19.0,19.0,24.0,18.0,18.0,18.0,18.0,26.0,30.5,30.5],\n",
       "\"..ymax..\":[33.0,33.0,33.0,33.0,32.0,22.0,22.0,22.0,22.0,22.0,22.0,22.0,22.0,24.0,20.0,20.0,20.0,20.0,26.0,36.0,36.0],\n",
       "\"..lower..\":[26.0,26.0,26.0,26.0,26.0,17.0,17.0,17.0,17.0,17.0,17.0,17.0,17.0,22.0,16.0,16.0,16.0,16.0,24.0,24.5,24.5],\n",
       "\"..ymin..\":[23.0,23.0,23.0,23.0,23.0,14.0,14.0,14.0,14.0,14.0,14.0,14.0,14.0,21.0,15.0,15.0,15.0,15.0,23.0,20.0,20.0],\n",
       "\"hwy\":[35.0,37.0,35.0,44.0,NaN,12.0,12.0,25.0,24.0,27.0,25.0,26.0,23.0,17.0,12.0,12.0,12.0,22.0,NaN,44.0,41.0],\n",
       "\"class\":[\"compact\",\"compact\",\"compact\",\"compact\",\"midsize\",\"suv\",\"suv\",\"suv\",\"suv\",\"suv\",\"suv\",\"suv\",\"suv\",\"minivan\",\"pickup\",\"pickup\",\"pickup\",\"pickup\",\"2seater\",\"subcompact\",\"subcompact\"]\n",
       "}\n",
       "}],\n",
       "\"theme\":{\n",
       "\"legend_position\":\"none\"\n",
       "}\n",
       "};\n",
       "           var plotContainer = document.getElementById(\"srcR2b\");\n",
       "           window.letsPlotCall(function() {{\n",
       "               LetsPlot.buildPlotFromProcessedSpecs(plotSpec, -1, -1, plotContainer);\n",
       "           }});\n",
       "       })();    \n",
       "   </script>"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "// Replace \"side\" tooltips with anchored (top_center) \"general\" tooltip.\n",
    "// The 'line()' function assigns aesthetic or 'variable' to a general multiline tooltip.\n",
    "p2 + geomBoxplot(tooltips=layerTooltips()\n",
    "                    .anchor(\"top_center\")\n",
    "                    .format(\"^Y\", \".0f\")\n",
    "                    .format(\"^middle\", \".2f\")\n",
    "                    .line(\"min/max|^ymin/^ymax\")\n",
    "                    .line(\"lower/upper|^lower/^upper\")\n",
    "                    .line(\"@|^middle\"))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Showing constants in tooltip."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "   <div id=\"1gRLwd\"></div>\n",
       "   <script type=\"text/javascript\" data-lets-plot-script=\"plot\">\n",
       "       (function() {\n",
       "           var plotSpec={\n",
       "\"mapping\":{\n",
       "\"x\":\"x\",\n",
       "\"y\":\"y\"\n",
       "},\n",
       "\"data\":{\n",
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       "\"y\":[-0.875605540198812,0.20032680632659097,-1.2063703805409225,-1.3882340792024144,0.7466078980633272,-1.4415259665934002,0.18835123223196107,-0.15263241332767286,1.975090835936539,0.8230534707262406,0.13383228754647664,-0.1283834782257575,-1.027237860170295,-0.4260272075725884,-0.14770911188473002,-0.14169296088773947,1.4242616678091935,-0.24503884659920772,-0.093305317764293,0.689692796417331,2.5243070005159995,-1.2370611869777488,0.47114132035080913,-0.0912757490013482,-0.27859443730919076,-1.8581082011225065,0.4233569870479028,-1.7691729038186452,1.7483043386040844,0.15637167415338005,2.0507284359740225,-2.1202955931033243,0.13623110118053267,1.6662149227163958,-0.3165109849308914,-0.08485720569640352,1.804780440930521,0.733334643950856,-0.608355371402676,-0.7603564441676471,-0.5397644764250127,0.19681586481534605,-0.8398112079078931,0.6797539168179353,-0.5430247225328848,-1.6152783591931976,-1.0025654156735342,0.5176082640718792,1.8585357991279006,0.2585443783101968,0.8124487725106506,1.2265574123526237,1.3204884471835616,-0.2985916971604757,0.7948899469947351,-0.7675086744470717,-0.01757201935812377,-1.9437260615948642,1.2296536327829894,2.965736579829032,0.4984767909093078,-2.8320043447043415,-0.23187090954252998,1.289856207135516,-0.9383673363411967,-1.4636385578484137,1.801109158117144,0.3010299318281833,-0.17471965180866156,1.5373201561003091,-1.6131639398428324,1.083423945737698,0.9736336444803473,-0.14269610666881738,0.7257492099858298,-1.2031281669937421,-0.5311238622227418,1.1786116557997328,-0.6152172057922601,1.76618959424935,0.4624134377242184,0.1688653215943022,1.894867000747633,0.22522207391146717,-1.0118665407873977,0.7965661908184624,-0.9309965760923522,-1.9586243803279588,0.052711745435534134,0.34653345067843727,1.399983976890539,-1.7375363463224887,1.0697041889290826,2.21818536434045,-1.2285602285505832,-1.1448358988108798,-0.3653212046643496,-2.169121219196608,-0.29133561862114826,-1.1292527536434984]\n",
       "},\n",
       "\"kind\":\"plot\",\n",
       "\"scales\":[],\n",
       "\"layers\":[{\n",
       "\"mapping\":{\n",
       "},\n",
       "\"stat\":\"identity\",\n",
       "\"position\":\"identity\",\n",
       "\"geom\":\"point\",\n",
       "\"data\":{\n",
       "}\n",
       "},{\n",
       "\"mapping\":{\n",
       "},\n",
       "\"stat\":\"identity\",\n",
       "\"color\":\"red\",\n",
       "\"size\":1.0,\n",
       "\"linetype\":\"dashed\",\n",
       "\"position\":\"identity\",\n",
       "\"xintercept\":-0.010359737075876611,\n",
       "\"geom\":\"vline\",\n",
       "\"tooltips\":{\n",
       "\"lines\":[\"mean = ^xintercept\"],\n",
       "\"formats\":[{\n",
       "\"field\":\"^xintercept\",\n",
       "\"format\":\".4f\"\n",
       "}]\n",
       "},\n",
       "\"data\":{\n",
       "}\n",
       "}]\n",
       "};\n",
       "           var plotContainer = document.getElementById(\"1gRLwd\");\n",
       "           window.letsPlotCall(function() {{\n",
       "               LetsPlot.buildPlotFromProcessedSpecs(plotSpec, -1, -1, plotContainer);\n",
       "           }});\n",
       "       })();    \n",
       "   </script>"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "// By default tooltip never shows values defined via layer parameters (constants).\n",
    "// Still, these values can be added to a layer tooltip using the 'layer_tooltips()' function.\n",
    "val rand = java.util.Random()\n",
    "val n = 100\n",
    "val dat = mapOf<String, Any>(\n",
    "    \"x\" to List(n) { rand.nextGaussian() },\n",
    "    \"y\" to List(n) { rand.nextGaussian() }\n",
    ")\n",
    "\n",
    "letsPlot(dat) {x=\"x\"; y=\"y\"} + \n",
    "    geomPoint() +\n",
    "    geomVLine(xintercept=(dat[\"x\"] as List<Double>).average(), color=\"red\", linetype=\"dashed\", size=1,\n",
    "              tooltips=layerTooltips().format(\"^xintercept\", \".4f\").line(\"mean = ^xintercept\"))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Some other examples."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/kotlindataframe+json": "{\"nrow\":5,\"ncol\":5,\"columns\":[\"sepal_length\",\"sepal_width\",\"petal_length\",\"petal_width\",\"species\"],\"kotlin_dataframe\":[{\"sepal_length\":5.1,\"sepal_width\":3.5,\"petal_length\":1.4,\"petal_width\":0.2,\"species\":\"setosa\"},{\"sepal_length\":4.9,\"sepal_width\":3.0,\"petal_length\":1.4,\"petal_width\":0.2,\"species\":\"setosa\"},{\"sepal_length\":4.7,\"sepal_width\":3.2,\"petal_length\":1.3,\"petal_width\":0.2,\"species\":\"setosa\"},{\"sepal_length\":4.6,\"sepal_width\":3.1,\"petal_length\":1.5,\"petal_width\":0.2,\"species\":\"setosa\"},{\"sepal_length\":5.0,\"sepal_width\":3.6,\"petal_length\":1.4,\"petal_width\":0.2,\"species\":\"setosa\"}]}",
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       "    --link-color-pale: #296eaa;\n",
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       "\n",
       ":root[theme=\"dark\"], :root [data-jp-theme-light=\"false\"], .dataframe_dark{\n",
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       "\n",
       "table.dataframe th.complex {\n",
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       "    color: var(--text-color-pale);\n",
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       "        <body>\n",
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       "<table class=\"dataframe\" id=\"df_1660944385\"></table>\n",
       "\n",
       "<p class=\"dataframe_description\">DataFrame: rowsCount = 5, columnsCount = 5</p>\n",
       "        </body>\n",
       "        <script>\n",
       "            \n",
       "/*<!--*/\n",
       "call_DataFrame(function() { DataFrame.addTable({ cols: [{ name: \"<span title=\\\"sepal_length: Double\\\">sepal_length</span>\", children: [], rightAlign: true, values: [\"<span class=\\\"formatted\\\" title=\\\"\\\"><span class=\\\"numbers\\\">5.1</span></span>\",\"<span class=\\\"formatted\\\" title=\\\"\\\"><span class=\\\"numbers\\\">4.9</span></span>\",\"<span class=\\\"formatted\\\" title=\\\"\\\"><span class=\\\"numbers\\\">4.7</span></span>\",\"<span class=\\\"formatted\\\" title=\\\"\\\"><span class=\\\"numbers\\\">4.6</span></span>\",\"<span class=\\\"formatted\\\" title=\\\"\\\"><span class=\\\"numbers\\\">5.0</span></span>\"] }, \n",
       "{ name: \"<span title=\\\"sepal_width: Double\\\">sepal_width</span>\", children: [], rightAlign: true, values: [\"<span class=\\\"formatted\\\" title=\\\"\\\"><span class=\\\"numbers\\\">3.5</span></span>\",\"<span class=\\\"formatted\\\" title=\\\"\\\"><span class=\\\"numbers\\\">3.0</span></span>\",\"<span class=\\\"formatted\\\" title=\\\"\\\"><span class=\\\"numbers\\\">3.2</span></span>\",\"<span class=\\\"formatted\\\" title=\\\"\\\"><span class=\\\"numbers\\\">3.1</span></span>\",\"<span class=\\\"formatted\\\" title=\\\"\\\"><span class=\\\"numbers\\\">3.6</span></span>\"] }, \n",
       "{ name: \"<span title=\\\"petal_length: Double\\\">petal_length</span>\", children: [], rightAlign: true, values: [\"<span class=\\\"formatted\\\" title=\\\"\\\"><span class=\\\"numbers\\\">1.4</span></span>\",\"<span class=\\\"formatted\\\" title=\\\"\\\"><span class=\\\"numbers\\\">1.4</span></span>\",\"<span class=\\\"formatted\\\" title=\\\"\\\"><span class=\\\"numbers\\\">1.3</span></span>\",\"<span class=\\\"formatted\\\" title=\\\"\\\"><span class=\\\"numbers\\\">1.5</span></span>\",\"<span class=\\\"formatted\\\" title=\\\"\\\"><span class=\\\"numbers\\\">1.4</span></span>\"] }, \n",
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       "{ name: \"<span title=\\\"species: String\\\">species</span>\", children: [], rightAlign: false, values: [\"setosa\",\"setosa\",\"setosa\",\"setosa\",\"setosa\"] }, \n",
       "], id: 1660944385, rootId: 1660944385, totalRows: 5 } ) });\n",
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       "call_DataFrame(function() { DataFrame.renderTable(1660944385) });\n",
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       "\n",
       "        </script>\n",
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      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "val iris_df = DataFrame.readCSV(\"https://raw.githubusercontent.com/JetBrains/lets-plot-kotlin/master/docs/examples/data/iris.csv\")\n",
    "iris_df.head()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "val iris_dat = iris_df.toMap()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "   <div id=\"Nso71a\"></div>\n",
       "   <script type=\"text/javascript\" data-lets-plot-script=\"plot\">\n",
       "       (function() {\n",
       "           var plotSpec={\n",
       "\"mapping\":{\n",
       "},\n",
       "\"data\":{\n",
       "},\n",
       "\"ggsize\":{\n",
       "\"width\":650.0,\n",
       "\"height\":300.0\n",
       "},\n",
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       "\"scales\":[],\n",
       "\"layers\":[{\n",
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       "\"fill\":\"species\"\n",
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       "\"position\":\"stack\",\n",
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       "}\n",
       "}]\n",
       "};\n",
       "           var plotContainer = document.getElementById(\"Nso71a\");\n",
       "           window.letsPlotCall(function() {{\n",
       "               LetsPlot.buildPlotFromProcessedSpecs(plotSpec, -1, -1, plotContainer);\n",
       "           }});\n",
       "       })();    \n",
       "   </script>"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "// Default density plot.\n",
    "letsPlot(iris_dat) + ggsize(650, 300) + \n",
    "    geomArea(stat=Stat.density(), color=\"white\") {x=\"sepal_length\"; fill=\"species\"}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "   <div id=\"ZU4kVh\"></div>\n",
       "   <script type=\"text/javascript\" data-lets-plot-script=\"plot\">\n",
       "       (function() {\n",
       "           var plotSpec={\n",
       "\"mapping\":{\n",
       "},\n",
       "\"data\":{\n",
       "},\n",
       "\"ggsize\":{\n",
       "\"width\":650.0,\n",
       "\"height\":300.0\n",
       "},\n",
       "\"kind\":\"plot\",\n",
       "\"scales\":[],\n",
       "\"layers\":[{\n",
       "\"mapping\":{\n",
       "\"x\":\"sepal_length\",\n",
       "\"fill\":\"species\"\n",
       "},\n",
       "\"stat\":\"density\",\n",
       "\"color\":\"white\",\n",
       "\"position\":\"stack\",\n",
       "\"geom\":\"area\",\n",
       "\"tooltips\":{\n",
       "\"lines\":[\"^fill\",\"length|^x\",\"density|^y\"],\n",
       "\"tooltip_anchor\":\"top_right\"\n",
       "},\n",
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       "}\n",
       "}]\n",
       "};\n",
       "           var plotContainer = document.getElementById(\"ZU4kVh\");\n",
       "           window.letsPlotCall(function() {{\n",
       "               LetsPlot.buildPlotFromProcessedSpecs(plotSpec, -1, -1, plotContainer);\n",
       "           }});\n",
       "       })();    \n",
       "   </script>"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "// Change the tooltip content.\n",
    "letsPlot(iris_dat) + ggsize(650, 300) +\n",
    "    geomArea(stat=Stat.density(),\n",
    "             color=\"white\",\n",
    "             tooltips=layerTooltips()\n",
    "                .anchor(\"top_right\")\n",
    "                .line(\"^fill\")\n",
    "                .line(\"length|^x\")\n",
    "                .line(\"density|^y\")) {x=\"sepal_length\"; fill=\"species\"}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "   <div id=\"0qdi4O\"></div>\n",
       "   <script type=\"text/javascript\" data-lets-plot-script=\"plot\">\n",
       "       (function() {\n",
       "           var plotSpec={\n",
       "\"mapping\":{\n",
       "},\n",
       "\"data\":{\n",
       "},\n",
       "\"ggsize\":{\n",
       "\"width\":650.0,\n",
       "\"height\":300.0\n",
       "},\n",
       "\"kind\":\"plot\",\n",
       "\"scales\":[],\n",
       "\"layers\":[{\n",
       "\"mapping\":{\n",
       "\"x\":\"sepal_length\",\n",
       "\"fill\":\"species\"\n",
       "},\n",
       "\"stat\":\"density\",\n",
       "\"color\":\"white\",\n",
       "\"position\":\"stack\",\n",
       "\"geom\":\"area\",\n",
       "\"tooltips\":{\n",
       "\"lines\":[\"density|@..density..\"],\n",
       "\"tooltip_anchor\":\"top_right\",\n",
       "\"formats\":[{\n",
       "\"field\":\"..density..\",\n",
       "\"format\":\".4f\"\n",
       "}]\n",
       "},\n",
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       "}\n",
       "}]\n",
       "};\n",
       "           var plotContainer = document.getElementById(\"0qdi4O\");\n",
       "           window.letsPlotCall(function() {{\n",
       "               LetsPlot.buildPlotFromProcessedSpecs(plotSpec, -1, -1, plotContainer);\n",
       "           }});\n",
       "       })();    \n",
       "   </script>"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "// Use '..density..' variable in the tooltip\n",
    "letsPlot(iris_dat) + ggsize(650, 300) +\n",
    "    geomArea(stat=Stat.density(), \n",
    "             color=\"white\",\n",
    "             tooltips=layerTooltips()\n",
    "                .anchor(\"top_right\")\n",
    "                .format(\"..density..\", \".4f\")\n",
    "                .line(\"density|@..density..\")) {x=\"sepal_length\"; fill=\"species\"}"
   ]
  }
 ],
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   "display_name": "Kotlin",
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   "file_extension": ".kt",
   "mimetype": "text/x-kotlin",
   "name": "kotlin",
   "nbconvert_exporter": "",
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   "version": "1.8.20"
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