python/examples/basic/Notebook_Profile_Visualizer.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Drift Analysis with Profile Visualizer"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "[![Open in Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/whylabs/whylogs/blob/1.0.x/python/examples/basic/Notebook_Profile_Visualizer.ipynb)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "> This is a `whylogs v1` example. For the analog feature in `v0`, please refer to [this example](https://github.com/whylabs/whylogs/blob/mainline/examples/Notebook_Profile_Visualizer.ipynb)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In this notebook, we'll show how you can use whylog's Notebook Profile Visualizer to compare two different sets of the same data. This includes:\n",
    "- __Data Drift__: Detecting feature drift between two datasets' distributions\n",
    "- __Data Visualization__: Comparing feature's histograms and bar charts\n",
    "- __Summary Statistics__: Visualizing Summary Statistics of individual features"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Data Drift on Wine Quality"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "To demonstrate the Profile Visualizer, let's use [UCI's Wine Quality Dataset](https://archive.ics.uci.edu/ml/datasets/wine+quality), frequently used for learning purposes. Classification is one possible task, where we predict the wine's quality based on its features, like pH, density and percent alcohol content.\n",
    "\n",
    "In this example, we will split the available dataset in two groups: wines with alcohol content (`alcohol` feature) below and above 11. The first group is considered our baseline (or reference) dataset, while the second will be our target dataset. The goal here is to induce a case of __Sample Selection Bias__, where the training sample is not representative of the population.\n",
    "\n",
    "The example used here was inspired by the article [A Primer on Data Drift](https://medium.com/data-from-the-trenches/a-primer-on-data-drift-18789ef252a6). If you're interested in more information on this use case, or the theory behind Data Drift, it's a great read!"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Installing Dependencies"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "To use the Profile Visualizer, we'll install whylogs with the extra package `viz`:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "!pip install -q whylogs[viz] --pre"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Loading the data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>fixed acidity</th>\n",
       "      <th>volatile acidity</th>\n",
       "      <th>citric acid</th>\n",
       "      <th>residual sugar</th>\n",
       "      <th>chlorides</th>\n",
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       "      <th>total sulfur dioxide</th>\n",
       "      <th>density</th>\n",
       "      <th>pH</th>\n",
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       "      <th>quality</th>\n",
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       "      <th>0</th>\n",
       "      <td>7.4</td>\n",
       "      <td>0.70</td>\n",
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       "      <td>1.9</td>\n",
       "      <td>0.076</td>\n",
       "      <td>11.0</td>\n",
       "      <td>34.0</td>\n",
       "      <td>0.9978</td>\n",
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       "      <td>25.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>0.9968</td>\n",
       "      <td>3.20</td>\n",
       "      <td>0.68</td>\n",
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       "      <td>0.28</td>\n",
       "      <td>0.56</td>\n",
       "      <td>1.9</td>\n",
       "      <td>0.075</td>\n",
       "      <td>17.0</td>\n",
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       "      <td>3.16</td>\n",
       "      <td>0.58</td>\n",
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       "      <td>0.70</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.9</td>\n",
       "      <td>0.076</td>\n",
       "      <td>11.0</td>\n",
       "      <td>34.0</td>\n",
       "      <td>0.9978</td>\n",
       "      <td>3.51</td>\n",
       "      <td>0.56</td>\n",
       "      <td>9.4</td>\n",
       "      <td>5</td>\n",
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       "   fixed acidity  volatile acidity  citric acid  residual sugar  chlorides  \\\n",
       "0            7.4              0.70         0.00             1.9      0.076   \n",
       "1            7.8              0.88         0.00             2.6      0.098   \n",
       "2            7.8              0.76         0.04             2.3      0.092   \n",
       "3           11.2              0.28         0.56             1.9      0.075   \n",
       "4            7.4              0.70         0.00             1.9      0.076   \n",
       "\n",
       "   free sulfur dioxide  total sulfur dioxide  density    pH  sulphates  \\\n",
       "0                 11.0                  34.0   0.9978  3.51       0.56   \n",
       "1                 25.0                  67.0   0.9968  3.20       0.68   \n",
       "2                 15.0                  54.0   0.9970  3.26       0.65   \n",
       "3                 17.0                  60.0   0.9980  3.16       0.58   \n",
       "4                 11.0                  34.0   0.9978  3.51       0.56   \n",
       "\n",
       "   alcohol  quality  \n",
       "0      9.4        5  \n",
       "1      9.8        5  \n",
       "2      9.8        5  \n",
       "3      9.8        6  \n",
       "4      9.4        5  "
      ]
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     "execution_count": 2,
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   "source": [
    "import pandas as pd\n",
    "pd.options.mode.chained_assignment = None  # Disabling false positive warning\n",
    "\n",
    "url = \"http://archive.ics.uci.edu/ml/machine-learning-databases/wine-quality/winequality-red.csv\"\n",
    "wine = pd.read_csv(url,sep=\";\")\n",
    "wine.head()"
   ]
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   "execution_count": 3,
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     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 1599 entries, 0 to 1598\n",
      "Data columns (total 12 columns):\n",
      " #   Column                Non-Null Count  Dtype  \n",
      "---  ------                --------------  -----  \n",
      " 0   fixed acidity         1599 non-null   float64\n",
      " 1   volatile acidity      1599 non-null   float64\n",
      " 2   citric acid           1599 non-null   float64\n",
      " 3   residual sugar        1599 non-null   float64\n",
      " 4   chlorides             1599 non-null   float64\n",
      " 5   free sulfur dioxide   1599 non-null   float64\n",
      " 6   total sulfur dioxide  1599 non-null   float64\n",
      " 7   density               1599 non-null   float64\n",
      " 8   pH                    1599 non-null   float64\n",
      " 9   sulphates             1599 non-null   float64\n",
      " 10  alcohol               1599 non-null   float64\n",
      " 11  quality               1599 non-null   int64  \n",
      "dtypes: float64(11), int64(1)\n",
      "memory usage: 150.0 KB\n"
     ]
    }
   ],
   "source": [
    "wine.info()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We'll split the wines in two groups. The ones with `alcohol` below 11 will form our reference sample, and the ones above 11 will form our target dataset."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "cond_reference = (wine['alcohol']<=11)\n",
    "wine_reference = wine.loc[cond_reference]\n",
    "\n",
    "cond_target = (wine['alcohol']>11)\n",
    "wine_target = wine.loc[cond_target]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's also add some missing values to `citric acid`, to see how this is reflected in the Profile Visualizer later on."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "ixs = wine_target.iloc[100:110].index\n",
    "wine_target.loc[ixs,'citric acid'] = None"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The `quality` feature is a numerical one, representing the wine's quality. Let's tranform it to a categorical feature, where each wine is classified as Good or Bad. Anything above 6.5 is a good a wine. Otherwise, it's bad."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "\n",
    "bins = (2, 6.5, 8)\n",
    "group_names = ['bad', 'good']\n",
    "\n",
    "wine_reference['quality'] = pd.cut(wine_reference['quality'], bins = bins, labels = group_names)\n",
    "wine_target['quality'] = pd.cut(wine_target['quality'], bins = bins, labels = group_names)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now, we can profile our dataframes with `whylogs`.\n",
    "The `NotebookProfileVisualizer` accepts `profile_views` as arguments. Profile views are obtained from the profiles, and are used for visualization and merging purposes."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "import whylogs as why\n",
    "result = why.log(pandas=wine_target)\n",
    "prof_view = result.view()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "result_ref = why.log(pandas=wine_reference)\n",
    "prof_view_ref = result_ref.view()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's instantiate `NotebookProfileVisualizer` and set the reference and target profile views:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "from whylogs.viz import NotebookProfileVisualizer\n",
    "\n",
    "visualization = NotebookProfileVisualizer()\n",
    "visualization.set_profiles(target_profile_view=prof_view, reference_profile_view=prof_view_ref)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now, we're able to generate all sorts of plots and reports.\n",
    "Let's take a look at some of them."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Drift Summary"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "With `summary_drift_report`, we have overview statistics, such as number of observations and missing cells, as well as a comparison between both profile's features, with regards to each feature's distribution, and drift calculations for numerical or categorical features.\n",
    "\n",
    "The report also displays alerts related to each of the feature's drift severity.\n",
    "\n",
    "You can also search for a specific feature, or filter by inferred type."
   ]
  },
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   "execution_count": 10,
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       "\n",
       "      .wl-table-row .wl-table-cell:first-child{\n",
       "        position: sticky;\n",
       "        left: 0;\n",
       "        background-color: var(--white);\n",
       "        border-right-width: 2px;\n",
       "      }\n",
       "\n",
       "      /* Table custom style */\n",
       "\n",
       "      .wl-table-cell__title-wrap {\n",
       "        display: flex;\n",
       "        justify-content: space-between;\n",
       "      }\n",
       "\n",
       "      .wl-table-cell__title {\n",
       "        height: 25px;\n",
       "        margin: 0;\n",
       "        font-size: 14px;\n",
       "        font-weight: 700;\n",
       "        overflow: hidden;\n",
       "        white-space: nowrap;\n",
       "        text-overflow: ellipsis;\n",
       "      }\n",
       "\n",
       "      .wl-table-cell__bedge-wrap {\n",
       "        padding: 2px 0;\n",
       "        white-space: nowrap;\n",
       "        overflow: hidden;\n",
       "        font-style: italic;\n",
       "        text-align: center;\n",
       "        color: var(--brandSecondary400);\n",
       "      }\n",
       "      .wl-table-cell__bedge {\n",
       "        height: 24px;\n",
       "        margin: 1px;\n",
       "        padding: 2px 8px;\n",
       "        border: 1px solid var(--brandSecondary400);\n",
       "        font-style: normal;\n",
       "        color: var(--brandSecondary900);\n",
       "        border-radius: 20px;\n",
       "        white-space: nowrap;\n",
       "      }\n",
       "\n",
       "      /* Property side panel */\n",
       "\n",
       "      .wl-compare-profile {\n",
       "        position: relative;\n",
       "        left: 0;\n",
       "        padding: 18px;\n",
       "        background: var(--white);;\n",
       "        border-bottom: 1px solid var(--brandSecondary200);\n",
       "      }\n",
       "\n",
       "      /* Screen on smaller screens */\n",
       "      .no-responsive {\n",
       "        display: none;\n",
       "        position: fixed;\n",
       "        top: 0;\n",
       "        left: 0;\n",
       "        z-index: 1031;\n",
       "        width: 100vw;\n",
       "        height: 100vh;\n",
       "        background-color: var(--tealBackground);\n",
       "        display: flex;\n",
       "        align-items: center;\n",
       "        justify-content: center;\n",
       "      }\n",
       "\n",
       "      .no-responsive__content {\n",
       "        max-width: 600px;\n",
       "        width: 100%;\n",
       "        padding: 0 24px;\n",
       "      }\n",
       "\n",
       "      .no-responsive__title {\n",
       "        font-size: 96px;\n",
       "        font-weight: 300;\n",
       "        color: var(--brandSecondary900);\n",
       "        line-height: 1.167;\n",
       "      }\n",
       "\n",
       "      .no-responsive__text {\n",
       "        margin: 0;\n",
       "        font-size: 16px;\n",
       "        font-weight: 400;\n",
       "        color: var(--brandSecondary900);\n",
       "        line-height: 1.5;\n",
       "      }\n",
       "\n",
       "      .space-between {\n",
       "        display: flex;\n",
       "        justify-content: space-between;\n",
       "      }\n",
       "\n",
       "      .align-items {\n",
       "        display: flex;\n",
       "        align-items: center;\n",
       "      }\n",
       "\n",
       "      .display-flex{\n",
       "        display: flex;\n",
       "      }\n",
       "\n",
       "      .table-border-none {\n",
       "        padding: 0;\n",
       "        border: none;\n",
       "      }\n",
       "\n",
       "      .flex-direction-colum {\n",
       "        display: flex;\n",
       "        flex-direction: column;\n",
       "      }\n",
       "\n",
       "      .align-items {\n",
       "        align-items: center;\n",
       "      }\n",
       "\n",
       "      .search-input{\n",
       "        padding-top: 0 !important;\n",
       "        padding-bottom: 0 !important;\n",
       "      }\n",
       "\n",
       "      .search-input input{\n",
       "        border: none;\n",
       "        background: none;\n",
       "        outline: none;\n",
       "        height: 40px;\n",
       "        width: 100%;\n",
       "        font-size: 14px;\n",
       "      }\n",
       "\n",
       "      .search-input img{\n",
       "        height: 19px;\n",
       "        pointer-events: none;\n",
       "      }\n",
       "\n",
       "      input::placeholder {\n",
       "        color: var(--secondaryLight1000);\n",
       "      }\n",
       "\n",
       "      .text-align-center {\n",
       "        text-align: center;\n",
       "      }\n",
       "\n",
       "      .text-align-end {\n",
       "        text-align: end;\n",
       "      }\n",
       "\n",
       "      .drift-detection {\n",
       "        justify-content: space-between;\n",
       "        align-items: center;\n",
       "      }\n",
       "\n",
       "     .drift-detection-info-circle {\n",
       "       width: 15px;\n",
       "       height: 15px;\n",
       "       border-radius: 50px;\n",
       "       display: inline-block;\n",
       "       margin-right: 8px;\n",
       "     }\n",
       "\n",
       "     .severe-drift-circle-color {\n",
       "         background: #D40D00;\n",
       "     }\n",
       "\n",
       "     .moderate-drift-circle-color {\n",
       "         background: #F5843C;\n",
       "     }\n",
       "\n",
       "     .mild-drift-circle-color {\n",
       "         background: #F2C142;\n",
       "     }\n",
       "\n",
       "     .minimal-drift-circle-color {\n",
       "         background: #ABCA52;\n",
       "     }\n",
       "\n",
       "     .drift-detection-info-drifts-item {\n",
       "         padding-right: 20px;\n",
       "     }\n",
       "\n",
       "     .drift-detection-info-title {\n",
       "       font-family: Arial;\n",
       "       font-weight: bold;\n",
       "       font-size: 16px;\n",
       "       line-height: 130%;\n",
       "       color: #313B3D;\n",
       "     }\n",
       "\n",
       "     .drift-detection-info-drifts-item-count {\n",
       "       font-family: Arial;\n",
       "       font-weight: bold;\n",
       "       font-size: 14px;\n",
       "       line-height: 16px;\n",
       "       color: #000000;\n",
       "       padding-right: 8px;\n",
       "     }\n",
       "\n",
       "     .drift-detection-info-drifts-item-name {\n",
       "       font-family: Arial;\n",
       "       font-style: normal;\n",
       "       font-weight: normal;\n",
       "       font-size: 12px;\n",
       "       line-height: 14px;\n",
       "       color: #000000;\n",
       "     }\n",
       "\n",
       "     .drift-detection-info-drifts-item-range {\n",
       "       font-family: Arial;\n",
       "       font-style: normal;\n",
       "       font-weight: normal;\n",
       "       font-size: 11px;\n",
       "       line-height: 13px;\n",
       "       color: #6C757D;\n",
       "     }\n",
       "\n",
       "     .drift-detection-search-input {\n",
       "       display: flex;\n",
       "       align-items: center;\n",
       "       background: rgba(255, 255, 255, 0.7);\n",
       "       border: 1px solid #DBE5E7;\n",
       "       box-sizing: border-box;\n",
       "       border-radius: 4px;\n",
       "       width: 170px;\n",
       "       padding-left: 10px;\n",
       "     }\n",
       "\n",
       "     .drift-detection-search-input img{\n",
       "       margin-right: 5px;\n",
       "     }\n",
       "\n",
       "     .drift-detection-search-input input::placeholder {\n",
       "       font-family: Arial;\n",
       "       font-weight: normal;\n",
       "       font-size: 13px;\n",
       "       line-height: 16px;\n",
       "       color: #313B3D;\n",
       "     }\n",
       "\n",
       "     .close-filter-button {\n",
       "       display: flex;\n",
       "       justify-content: center;\n",
       "       align-items: center;\n",
       "       background: rgba(255, 255, 255, 0.7);\n",
       "       border: 1px solid #369BAC;\n",
       "       box-sizing: border-box;\n",
       "       border-radius: 4px;\n",
       "       width: 40px;\n",
       "       height: 40px;\n",
       "       cursor: pointer;\n",
       "       margin-left: 10px;\n",
       "     }\n",
       "\n",
       "     .filter-options-title {\n",
       "       width: 240px;\n",
       "     }\n",
       "\n",
       "     .filter-options-title p {\n",
       "       margin: 0;\n",
       "     }\n",
       "\n",
       "     .dropdown-container {\n",
       "       position: absolute;\n",
       "       right: 18px;\n",
       "       z-index: 999;\n",
       "       background: #FFFFFF;\n",
       "       border: 1px solid #DBE5E7;\n",
       "       box-sizing: border-box;\n",
       "       box-shadow: 0px 2px 8px rgba(0, 0, 0, 0.05);\n",
       "       border-radius: 4px;\n",
       "       padding: 10px !important;\n",
       "       border: none !important;\n",
       "     }\n",
       "\n",
       "     .form-check-input:checked {\n",
       "       background-color: #0E7384;\n",
       "       border-color: #0E7384;\n",
       "     }\n",
       "\n",
       "     .form-check-input[type=checkbox] {\n",
       "       border-radius: 2px;\n",
       "     }\n",
       "\n",
       "      .justify-content-center {\n",
       "        justify-content: center;\n",
       "      }\n",
       "\n",
       "      .wl-table-cell__graph-wrap {\n",
       "        width: 0;\n",
       "      }\n",
       "\n",
       "      .svg-container {\n",
       "        display: inline-block;\n",
       "        position: relative;\n",
       "        width: 85%;\n",
       "        padding-bottom: 17%;\n",
       "        vertical-align: top;\n",
       "        overflow: hidden;\n",
       "      }\n",
       "\n",
       "      .svg-content-responsive {\n",
       "        display: inline-block;\n",
       "        position: absolute;\n",
       "        left: 0;\n",
       "      }\n",
       "\n",
       "      .reference-table-head {\n",
       "        min-width: 250px;\n",
       "      }\n",
       "\n",
       "      .wl__dropdown_arrow-icon {\n",
       "        position: relative;\n",
       "      }\n",
       "\n",
       "      .notif-circle-container{\n",
       "        position: absolute;\n",
       "        top: -4px;\n",
       "        right: -4px;\n",
       "        padding: 5.3px;\n",
       "        border-radius: 50%;\n",
       "        background-color: white;\n",
       "        cursor: pointer;\n",
       "      }\n",
       "\n",
       "      .notif-circle {\n",
       "        position: absolute;\n",
       "        top: 2px;\n",
       "        right: 2px;\n",
       "        padding: 3.3px;\n",
       "        border-radius: 50%;\n",
       "        background-color: #F2994A;\n",
       "      }\n",
       "\n",
       "\n",
       "      .header-title {\n",
       "        font-size: 26px;\n",
       "        font-weight: 700;\n",
       "        color: #444444;\n",
       "      }\n",
       "\n",
       "      .statistic-number-title {\n",
       "        font-family: Arial;\n",
       "        font-weight: normal;\n",
       "        font-size: 14px;\n",
       "        line-height: 20px;\n",
       "        color: #6C757D;\n",
       "      }\n",
       "\n",
       "      .statistic-number {\n",
       "        font-family: Arial;\n",
       "        font-weight: bold;\n",
       "        font-size: 20px;\n",
       "        line-height: 140%;\n",
       "        display: flex;\n",
       "        align-items: center;\n",
       "        color: #0E7384;\n",
       "      }\n",
       "\n",
       "      .statistic-measurement {\n",
       "        font-size: 15px !important;\n",
       "        margin-left: 3px;\n",
       "      }\n",
       "\n",
       "      .statistic-measurement-percent {\n",
       "        font-size: 15px !important;\n",
       "      }\n",
       "\n",
       "      .question-mark {\n",
       "        font-size: 10px;\n",
       "        font-weight: 900;\n",
       "        color: #0E7384;\n",
       "        border-radius: 50px;\n",
       "        border: 2px solid #0E7384;\n",
       "        padding: 0px 4px;\n",
       "        transition: 0.5s;\n",
       "        cursor: pointer;\n",
       "      }\n",
       "\n",
       "      .question-mark:hover {\n",
       "        color: white;\n",
       "        background: #0E7384;\n",
       "        border: 2px solid none;\n",
       "        transition: 0.5s;\n",
       "      }\n",
       "\n",
       "      .tooltip-full-number {\n",
       "        position: relative;\n",
       "        display: inline-block;\n",
       "      }\n",
       "\n",
       "      .tooltip-full-number .tooltiptext {\n",
       "        visibility: hidden;\n",
       "        background: black;\n",
       "        color: white;\n",
       "        border: 1px solid black;\n",
       "        text-align: start;\n",
       "        padding: 3px;\n",
       "        position: absolute;\n",
       "        z-index: 1;\n",
       "        top: 0;\n",
       "        left: 100%;\n",
       "        margin-left: 5px;\n",
       "        opacity: 0;\n",
       "        transition: opacity 0.5s;\n",
       "        font-size: 13px;\n",
       "        font-weight: normal;\n",
       "        line-height: 100%;\n",
       "      }\n",
       "\n",
       "      .tooltip-full-number:hover .tooltiptext {\n",
       "        visibility: visible;\n",
       "        opacity: 1;\n",
       "      }\n",
       "\n",
       "      .display-flex {\n",
       "        display: flex;\n",
       "      }\n",
       "\n",
       "      .flex-direction-column {\n",
       "        flex-direction: column;\n",
       "      }\n",
       "\n",
       "      .justify-content-space-between {\n",
       "        justify-content: space-between;\n",
       "      }\n",
       "\n",
       "      .justify-content-center {\n",
       "        justify-content: center;\n",
       "      }\n",
       "\n",
       "      .align-items-center {\n",
       "        align-items: center;\n",
       "      }\n",
       "\n",
       "      .padding-right-30 {\n",
       "        padding-right: 30px;\n",
       "      }\n",
       "\n",
       "      .padding-5 {\n",
       "        padding: 5px;\n",
       "      }\n",
       "\n",
       "      .text-color {\n",
       "        color: var(--secondaryLight1000);\n",
       "      }\n",
       "\n",
       "      .error-message {\n",
       "        display: flex;\n",
       "        justify-content: center;\n",
       "        align-items: center;\n",
       "        color: rgb(255, 114, 71);\n",
       "        font-size: 30px;\n",
       "        font-weight: 900;\n",
       "      }\n",
       "\n",
       "      @media screen and (min-width: 500px) {\n",
       "        .desktop-content {\n",
       "          display: block;\n",
       "        }\n",
       "        .no-responsive {\n",
       "          display: none;\n",
       "        }\n",
       "      }\n",
       "    &lt;/style&gt;\n",
       "  &lt;/head&gt;\n",
       "\n",
       "  &lt;body id=&quot;generated-html&quot;&gt;&lt;/body&gt;\n",
       "\n",
       "  &lt;script id=&quot;entry-template&quot; type=&quot;text/x-handlebars-template&quot;&gt;\n",
       "    \n",
       "      &lt;div class=&quot;desktop-content&quot;&gt;\n",
       "        &lt;div class=&quot;container-fluid&quot;&gt;\n",
       "          &lt;div class=&quot;feature-summary-statistics-wrap&quot;&gt;\n",
       "            &lt;div class=&quot;feature-summary-statistics&quot;&gt;\n",
       "              &lt;div class=&quot;mb-4&quot;&gt;\n",
       "                  &lt;strong class=&quot;header-title&quot;&gt;Profile Summary&lt;/strong&gt;\n",
       "              &lt;/div&gt;\n",
       "              &lt;div class=&quot;display-flex statistics&quot;&gt;\n",
       "                  &lt;div class=&quot;padding-right-30&quot;&gt;\n",
       "                    &lt;div class=&quot;statistic-number-title&quot;&gt;Observations&lt;/div&gt;\n",
       "                    &lt;div class=&quot;statistic-number&quot;&gt;{{{observations this}}}&lt;/div&gt;\n",
       "                  &lt;/div&gt;\n",
       "                  &lt;div class=&quot;padding-right-30&quot;&gt;\n",
       "                    &lt;div class=&quot;statistic-number-title&quot;&gt;Missing Cells&lt;/div&gt;\n",
       "                    &lt;div class=&quot;statistic-number&quot;&gt;\n",
       "                      {{{missingCells this}}}\n",
       "                      &lt;div&gt;{{{missingCellsPercentage this}}}&lt;/div&gt;\n",
       "                    &lt;/div&gt;\n",
       "                  &lt;/div&gt;\n",
       "              &lt;/div&gt;\n",
       "            &lt;/div&gt;\n",
       "          &lt;/div&gt;\n",
       "          &lt;div class=&quot;row&quot;&gt;\n",
       "            &lt;div class=&quot;main&quot;&gt;\n",
       "              &lt;div class=&quot;wl-compare-profile&quot; id=&quot;compare-profile&quot;&gt;\n",
       "               &lt;div class=&quot;drift-detection-wrap&quot;&gt;\n",
       "                 &lt;div class=&quot;drift-detection display-flex&quot;&gt;\n",
       "                   &lt;div class=&quot;drift-detection-info flex-direction-colum&quot;&gt;\n",
       "                     &lt;div class=&quot;drift-detection-info-title-wrap display-flex&quot;&gt;\n",
       "                       &lt;p class=&quot;drift-detection-info-title&quot;&gt;\n",
       "                         Drift detected in\n",
       "                         &lt;span class=&quot;drift-count&quot;&gt;&lt;/span&gt;\n",
       "                         of\n",
       "                         &lt;span class=&quot;all-features&quot;&gt;&lt;/span&gt;\n",
       "                         features\n",
       "                       &lt;/p&gt;\n",
       "                     &lt;/div&gt;\n",
       "                     &lt;div class=&quot;drift-detection-info-drifts display-flex&quot; id=&quot;drift-detection-info-drifts&quot;&gt;\n",
       "                     &lt;/div&gt;\n",
       "                   &lt;/div&gt;\n",
       "                   &lt;div class=&quot;drift-detection-search-input-wrap display-flex&quot;&gt;\n",
       "                     &lt;div class=&quot;drift-detection-search-input search-input&quot;&gt;\n",
       "                       &lt;input type=&quot;text&quot; id=&quot;wl__feature-search&quot; placeholder=&quot;Quick search...&quot;/&gt;\n",
       "                       &lt;img src=&quot;data:image/png;base64,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&quot;/&gt;\n",
       "                     &lt;/div&gt;\n",
       "                     &lt;div class=&quot;wl__dropdown_arrow-icon&quot;&gt;\n",
       "                       &lt;div onclick=&quot;openFilter()&quot; class=&quot;close-filter-button&quot;&gt;\n",
       "                         &lt;div class=&quot;display-flex close-filter-icon d-none&quot;&gt;\n",
       "                           &lt;img src=&quot;data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAAsAAAALCAYAAACprHcmAAAACXBIWXMAAAsTAAALEwEAmpwYAAAAAXNSR0IArs4c6QAAAARnQU1BAACxjwv8YQUAAADFSURBVHgBfY+xDcIwEEXvnLQBZQkYAEhDwwKpEEK0CCZgAEjJCEmgjYSAygxAHTZgFRSOsyUjY5mcZFnn/+78PwBXf3+MoKWUPuYjVBPFnTwpr9t/oNJfcTfXsAhRAlDqDhhQIPYgpAqNMDqcUqSAYZT1epr9gAHt6uXshvYme4DYHQJNDKh0dD0m5WXB10Y3Fqjtuh7fROn3oREDWxfeMLyRsMnc0OgDzdduaA0Pi3Plgr7Q2kaAePeBqh6rueSNBVt6fgCwBV1JLF3rlAAAAABJRU5ErkJggg==&quot;/&gt;\n",
       "                         &lt;/div&gt;\n",
       "                         &lt;div class=&quot;display-flex filter-icon&quot;&gt;\n",
       "                           &lt;img src=&quot;data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABAAAAAPCAYAAADtc08vAAAACXBIWXMAAAsTAAALEwEAmpwYAAAAAXNSR0IArs4c6QAAAARnQU1BAACxjwv8YQUAAACSSURBVHgBrZLBCYAwDEWTUjw7igcdwI1cxkNXUJzBEVzFAbSVKoKmaVrEB6GHJv/w+AACtRk7P9IONv1QOYUl96k0zv61m2tjARoLtSDI3EFsgIJ4uoXrMLazO72CRG2mzg/8BSdVlEjhpGZJjAWdAZJECpWalEhJSs1pHuUlMad5FFai1Lwg4Ckx1TxKIPFL8w55mEWd8VjPGAAAAABJRU5ErkJggg==&quot;/&gt;\n",
       "                         &lt;/div&gt;\n",
       "                       &lt;/div&gt;\n",
       "                       &lt;span class=&quot;notif-circle-container&quot;&gt;\n",
       "                         &lt;span class=&quot;notif-circle&quot;&gt;&lt;/span&gt;\n",
       "                       &lt;/span&gt;\n",
       "                     &lt;/div&gt;\n",
       "                   &lt;/div&gt;\n",
       "                 &lt;/div&gt;\n",
       "               &lt;/div&gt;\n",
       "               &lt;div class=&quot;dropdown-container flex-direction-colum mb-2 d-none&quot; id=&quot;dropdown-container&quot;&gt;\n",
       "                 &lt;div class=&quot;filter-options&quot;&gt;\n",
       "                   &lt;div class=&quot;filter-options-title space-between dropdown&quot;&gt;\n",
       "                     &lt;p&gt;Filter by type&lt;/p&gt;\n",
       "                   &lt;/div&gt;\n",
       "                   &lt;div class=&quot;form-check mb-1 mt-2&quot;&gt;\n",
       "                     &lt;input\n",
       "                       class=&quot;form-check-input wl__feature-filter-input&quot;\n",
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       "                     &lt;label class=&quot;form-check-label&quot; for=&quot;inferredDiscrete&quot;&gt;\n",
       "                       Inferred discrete (&lt;span class=&quot;wl__feature-count--discrete&quot;&gt;{{getDiscreteTypeCount}}&lt;/span&gt;)\n",
       "                     &lt;/label&gt;\n",
       "                   &lt;/div&gt;\n",
       "                   &lt;div class=&quot;form-check mb-1&quot;&gt;\n",
       "                     &lt;input\n",
       "                       class=&quot;form-check-input wl__feature-filter-input&quot;\n",
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       "                       checked\n",
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       "                     &lt;label class=&quot;form-check-label&quot; for=&quot;inferredNonDiscrete&quot;&gt;\n",
       "                       Inferred non-discrete (&lt;span\n",
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       "                       &gt;{{getNonDiscreteTypeCount}}&lt;/span&gt;)\n",
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       "                   &lt;/div&gt;\n",
       "                   &lt;div class=&quot;form-check mb-1&quot;&gt;\n",
       "                     &lt;input\n",
       "                       class=&quot;form-check-input wl__feature-filter-input&quot;\n",
       "                       type=&quot;checkbox&quot;\n",
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       "                       value=&quot;Unknown&quot;\n",
       "                       id=&quot;inferredUnknown&quot;\n",
       "                       onclick=&quot;changeUnknwonValue()&quot;\n",
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       "                     &lt;label class=&quot;form-check-label&quot; for=&quot;inferredUnknown&quot;&gt;\n",
       "                       Unknown (&lt;span class=&quot;wl__feature-count--unknown&quot;&gt;{{getUnknownTypeCount}}&lt;/span&gt;)\n",
       "                     &lt;/label&gt;\n",
       "                   &lt;/div&gt;\n",
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       "               &lt;/div&gt;\n",
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       "                        &lt;div class=&quot;wl-table-head table-border-none graph-table-head&quot;&gt;Target&lt;/div&gt;\n",
       "                        &lt;div class=&quot;wl-table-head table-border-none reference-table-head&quot;&gt;Reference&lt;/div&gt;\n",
       "                      &lt;/div&gt;\n",
       "                      &lt;div class=&quot;wl-table-head wl-sub-table-head text-align-center&quot; id=&quot;diff-from-ref&quot;&gt;\n",
       "                        Diff from ref.\n",
       "                        &lt;div class=&quot;tooltip-full-number&quot;&gt;\n",
       "                            &lt;span class=&quot;question-mark&quot;&gt;?&lt;/span&gt;\n",
       "                          &lt;span class=&quot;tooltiptext&quot;&gt;\n",
       "                           &lt;div class=&quot;mb-1&quot;&gt;Distance between the reference and target profiles&lt;/div&gt;\n",
       "                          &lt;/span&gt;\n",
       "                        &lt;/div&gt;\n",
       "                      &lt;/div&gt;\n",
       "                      &lt;div class=&quot;wl-table-head wl-sub-table-head text-align-center&quot;&gt;Total count&lt;/div&gt;\n",
       "                      &lt;div class=&quot;wl-table-head wl-sub-table-head text-align-center&quot;&gt;Mean&lt;/div&gt;\n",
       "                    &lt;/div&gt;\n",
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       "                        &lt;div class=&quot;wl-table-cell__title-wrap&quot;&gt;\n",
       "                          &lt;h4 class=&quot;wl-table-cell__title&quot;&gt;{{@key}}&lt;/h4&gt;\n",
       "                          &lt;div&gt;&lt;/div&gt;\n",
       "                        &lt;/div&gt;\n",
       "                          &lt;div class=&quot;display-flex&quot;&gt;\n",
       "                              {{{getGraphHtml this}}}\n",
       "                              {{{getReferenceGraphHtml this}}}\n",
       "                          &lt;/div&gt;\n",
       "                      &lt;/div&gt;\n",
       "                      &lt;div\n",
       "                        class=&quot;diff-from-ref-table-cell wl-table-cell wl-table-cell--top-spacing align-middle&quot;\n",
       "                        style=&quot;max-width: 270px; padding-right: 18px&quot;\n",
       "                      &gt;&lt;div class=&quot;wl-table-cell__bedge-wrap text-align-end&quot;&gt;\n",
       "                           {{{getDiffFromRef this}}}\n",
       "                        &lt;/div&gt;&lt;/div&gt;&lt;div\n",
       "                        class=&quot;wl-table-cell wl-table-cell--top-spacing align-middle&quot;\n",
       "                      &gt;&lt;div class=&quot;text-align-end&quot;&gt;{{totalCount this}}&lt;/div&gt;&lt;/div&gt;&lt;div\n",
       "                        class=&quot;wl-table-cell wl-table-cell--top-spacing align-middle&quot;\n",
       "                      &gt;&lt;div class=&quot;text-align-end&quot;&gt;{{mean this}}&lt;/div&gt;&lt;/div&gt;\n",
       "                    &lt;/li&gt;\n",
       "{{/each}}                  &lt;/ul&gt;\n",
       "                &lt;/div&gt;\n",
       "              &lt;/div&gt;\n",
       "            &lt;/div&gt;\n",
       "          &lt;/div&gt;\n",
       "        &lt;/div&gt;\n",
       "      &lt;/div&gt;\n",
       "      &lt;div class=&quot;no-responsive&quot;&gt;\n",
       "        &lt;div class=&quot;no-responsive__content&quot;&gt;\n",
       "          &lt;h1 class=&quot;no-responsive__title&quot;&gt;Hold on! :)&lt;/h1&gt;\n",
       "          &lt;p class=&quot;no-responsive__text&quot;&gt;\n",
       "            It looks like your current screen size or device is not yet supported by the WhyLabs Sandbox. The Sandbox is\n",
       "            best experienced on a desktop computer. Please try maximizing this window or switching to another device. We\n",
       "            are working on adding support for a larger variety of devices.\n",
       "          &lt;/p&gt;\n",
       "        &lt;/div&gt;\n",
       "      &lt;/div&gt;\n",
       "    \n",
       "  &lt;/script&gt;\n",
       "\n",
       "  &lt;script src=&quot;https://code.jquery.com/jquery-3.6.0.min.js&quot; integrity=&quot;sha256-/xUj+3OJU5yExlq6GSYGSHk7tPXikynS7ogEvDej/m4=&quot; crossorigin=&quot;anonymous&quot;&gt;&lt;/script&gt;\n",
       "\n",
       "  &lt;script src=&quot;https://cdnjs.cloudflare.com/ajax/libs/d3/6.7.0/d3.min.js&quot; integrity=&quot;sha512-cd6CHE+XWDQ33ElJqsi0MdNte3S+bQY819f7p3NUHgwQQLXSKjE4cPZTeGNI+vaxZynk1wVU3hoHmow3m089wA==&quot; crossorigin=&quot;anonymous&quot; referrerpolicy=&quot;no-referrer&quot;&gt;&lt;/script&gt;\n",
       "\n",
       "  &lt;script&gt;\n",
       "    const getReferenceProfile = () =&gt; { return {&quot;columns&quot;: {&quot;pH&quot;: {&quot;histogram&quot;: {&quot;start&quot;: 2.74, &quot;end&quot;: 3.750000375, &quot;width&quot;: 0, &quot;counts&quot;: [0, 0, 0, 2, 6, 8, 0, 8, 22, 26, 43, 44, 78, 99, 65, 89, 147, 91, 104, 127, 59, 60, 26, 39, 20, 12, 2, 8, 2, 4], &quot;max&quot;: 3.75, &quot;min&quot;: 2.74, &quot;bins&quot;: [2.74, 2.773666679166667, 2.8073333583333335, 2.8410000375, 2.874666716666667, 2.9083333958333335, 2.942000075, 2.975666754166667, 3.0093334333333335, 3.0430001125, 3.076666791666667, 3.1103334708333334, 3.14400015, 3.1776668291666668, 3.2113335083333334, 3.2450001875, 3.2786668666666667, 3.3123335458333334, 3.346000225, 3.3796669041666667, 3.4133335833333334, 3.4470002625, 3.4806669416666667, 3.5143336208333333, 3.5480003, 3.5816669791666667, 3.6153336583333333, 3.6490003375, 3.6826670166666666, 3.7163336958333333, 3.750000375], &quot;n&quot;: 1191}, &quot;frequentItems&quot;: null, 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0, 0, 0, 2, 0, 4, 0, 0, 0, 0, 2], &quot;max&quot;: 1.58, &quot;min&quot;: 0.18, &quot;bins&quot;: [0.18, 0.22666667193333334, 0.27333334386666663, 0.3200000158, 0.36666668773333333, 0.4133333596666667, 0.46000003159999997, 0.5066667035333333, 0.5533333754666667, 0.6000000474, 0.6466667193333333, 0.6933333912666666, 0.7400000631999999, 0.7866667351333334, 0.8333334070666667, 0.880000079, 0.9266667509333333, 0.9733334228666666, 1.0200000948, 1.0666667667333334, 1.1133334386666667, 1.1600001106, 1.2066667825333333, 1.2533334544666666, 1.3000001263999998, 1.3466667983333334, 1.3933334702666667, 1.4400001422, 1.4866668141333332, 1.5333334860666665, 1.580000158], &quot;n&quot;: 1191}, &quot;frequentItems&quot;: null, &quot;drift_from_ref&quot;: 5.179724002894165e-12, &quot;isDiscrete&quot;: false, &quot;featureStats&quot;: null}, &quot;density&quot;: {&quot;histogram&quot;: {&quot;start&quot;: 0.99236, &quot;end&quot;: 1.003690100369, &quot;width&quot;: 0, &quot;counts&quot;: [0, 2, 0, 4, 4, 12, 36, 38, 75, 98, 129, 138, 130, 125, 102, 80, 46, 38, 40, 34, 26, 12, 8, 4, 0, 0, 6, 2, 0, 2], &quot;max&quot;: 1.00369, &quot;min&quot;: 0.99236, &quot;bins&quot;: [0.99236, 0.9927376700123001, 0.9931153400246, 0.9934930100369, 0.9938706800492, 0.9942483500615, 0.9946260200738, 0.9950036900861, 0.9953813600984001, 0.9957590301107, 0.996136700123, 0.9965143701353, 0.9968920401476, 0.9972697101599, 0.9976473801722, 0.9980250501845, 0.9984027201968, 0.9987803902091, 0.9991580602214, 0.9995357302337, 0.999913400246, 1.0002910702582999, 1.0006687402706, 1.0010464102829, 1.0014240802952, 1.0018017503075, 1.0021794203198, 1.0025570903321, 1.0029347603443999, 1.0033124303567, 1.003690100369], &quot;n&quot;: 1191}, &quot;frequentItems&quot;: null, &quot;drift_from_ref&quot;: 4.1817176800313405e-70, &quot;isDiscrete&quot;: false, &quot;featureStats&quot;: null}, &quot;total sulfur dioxide&quot;: {&quot;histogram&quot;: {&quot;start&quot;: 6.0, &quot;end&quot;: 160.000016, &quot;width&quot;: 0, &quot;counts&quot;: [46, 96, 100, 101, 103, 68, 78, 99, 60, 54, 50, 52, 36, 26, 23, 34, 29, 21, 12, 21, 14, 5, 18, 10, 9, 6, 8, 10, 2, 0], &quot;max&quot;: 160.0, &quot;min&quot;: 6.0, &quot;bins&quot;: [6.0, 11.133333866666666, 16.266667733333332, 21.400001599999996, 26.533335466666664, 31.66666933333333, 36.80000319999999, 41.93333706666666, 47.06667093333333, 52.200004799999995, 57.33333866666666, 62.46667253333332, 67.60000639999998, 72.73334026666666, 77.86667413333332, 83.000008, 88.13334186666665, 93.26667573333332, 98.40000959999999, 103.53334346666665, 108.66667733333333, 113.80001119999999, 118.93334506666665, 124.06667893333332, 129.20001279999997, 134.33334666666664, 139.46668053333332, 144.6000144, 149.73334826666664, 154.8666821333333, 160.000016], &quot;n&quot;: 1191}, &quot;frequentItems&quot;: null, &quot;drift_from_ref&quot;: 1.6479837784132587e-10, &quot;isDiscrete&quot;: false, &quot;featureStats&quot;: null}}, &quot;properties&quot;: {&quot;observations&quot;: 4896, &quot;missing_cells&quot;: 10, &quot;missing_percentage&quot;: 0.20424836601307192}} }\n",
       "    const referenceProfile = getReferenceProfile()\n",
       "\n",
       "    function fixNumberTo(number, decimals = 3) {\n",
       "      const fractionalDigits = String(number % 1).split(&#x27;&#x27;).slice(2, 2 + decimals).join(&#x27;&#x27;)\n",
       "      return `${Math.trunc(number)}.${fractionalDigits}`\n",
       "    }\n",
       "\n",
       "    function registerHandlebarHelperFunctions() {\n",
       "      //helper fun\n",
       "\n",
       "      class GenerateChartParams {\n",
       "        constructor(height, width, data, bottomMargin=20, topMargin=5) {\n",
       "          this.MARGIN = {\n",
       "            TOP: topMargin,\n",
       "            RIGHT: 5,\n",
       "            BOTTOM: bottomMargin,\n",
       "            LEFT: 55,\n",
       "          };\n",
       "          this.SVG_WIDTH = width;\n",
       "          this.SVG_HEIGHT = height;\n",
       "          this.CHART_WIDTH = this.SVG_WIDTH - this.MARGIN.LEFT - this.MARGIN.RIGHT;\n",
       "          this.CHART_HEIGHT = this.SVG_HEIGHT - this.MARGIN.TOP - this.MARGIN.BOTTOM;\n",
       "          this.svgEl = d3.create(&quot;svg&quot;)\n",
       "             .attr(&quot;preserveAspectRatio&quot;, &quot;xMinYMin meet&quot;)\n",
       "             .attr(&quot;viewBox&quot;, &quot;30 0 240 400&quot;)\n",
       "             .classed(&quot;svg-content-responsive&quot;, true)\n",
       "          this.maxYValue = d3.max(data, (d) =&gt; Math.abs(d.axisY));\n",
       "          this.xScale = d3\n",
       "            .scaleBand()\n",
       "            .domain(data.map((d) =&gt; d.axisX))\n",
       "            .range([this.MARGIN.LEFT, this.MARGIN.LEFT + this.CHART_WIDTH]);\n",
       "          this.yScale = d3\n",
       "            .scaleLinear()\n",
       "            .domain([0, this.maxYValue * 1.02])\n",
       "            .range([this.CHART_HEIGHT, 0]);\n",
       "        }\n",
       "      }\n",
       "\n",
       "      function generateChart(data, height = 70, width = 250, index = 0, referenceProfileExist = false) {\n",
       "        const sizes = new GenerateChartParams(height, width, data, 5)\n",
       "        const {\n",
       "          MARGIN,\n",
       "          SVG_WIDTH,\n",
       "          SVG_HEIGHT,\n",
       "          CHART_WIDTH,\n",
       "          CHART_HEIGHT,\n",
       "          svgEl,\n",
       "          maxYValue,\n",
       "          xScale,\n",
       "          yScale\n",
       "        } = sizes\n",
       "        const rectColors = [&quot;#44C0E7&quot;, &quot;#F5843C&quot;]\n",
       "\n",
       "        // Add the y Axis\n",
       "        if (!referenceProfileExist) {\n",
       "          svgEl\n",
       "            .append(&quot;g&quot;)\n",
       "            .attr(&quot;transform&quot;, &quot;translate(&quot; + MARGIN.LEFT + &quot;, &quot; + MARGIN.TOP + &quot;)&quot;)\n",
       "            .call(d3.axisLeft(yScale).tickValues([0, maxYValue/2, maxYValue]))\n",
       "            .selectAll(&quot;text&quot;)\n",
       "            .style(&quot;font-size&quot;, &quot;8&quot;)\n",
       "        }\n",
       "\n",
       "        const gChart = svgEl.append(&quot;g&quot;);\n",
       "        gChart\n",
       "          .attr(&quot;transform&quot;, &quot;translate(&quot; + 20 + &quot;, &quot; + 0 + &quot;)&quot;)\n",
       "          .selectAll(&quot;.bar&quot;)\n",
       "          .data(data)\n",
       "          .enter()\n",
       "          .append(&quot;rect&quot;)\n",
       "          .classed(&quot;bar&quot;, true)\n",
       "          .attr(&quot;width&quot;, xScale.bandwidth() - 1)\n",
       "          .attr(&quot;height&quot;, (d) =&gt; CHART_HEIGHT - yScale(d.axisY))\n",
       "          .attr(&quot;x&quot;, (d) =&gt; xScale(d.axisX))\n",
       "          .attr(&quot;y&quot;, (d) =&gt; yScale(d.axisY) + MARGIN.TOP)\n",
       "          .attr(&quot;fill&quot;, rectColors[index]);\n",
       "\n",
       "        return svgEl._groups[0][0].outerHTML;\n",
       "      }\n",
       "\n",
       "      function chartData(column) {\n",
       "        const data = [];\n",
       "        if (column.histogram) {\n",
       "          column.histogram.counts.slice(0, 30).forEach((count, index) =&gt; {\n",
       "            data.push({\n",
       "              axisY: count,\n",
       "              axisX: index,\n",
       "            });\n",
       "          });\n",
       "        } else if (column.frequentItems) {\n",
       "          Object.entries(column.frequentItems).forEach(([key, {value, estimate}], index) =&gt; {\n",
       "              data.push({\n",
       "                axisY: estimate,\n",
       "                axisX: value,\n",
       "              });\n",
       "            });\n",
       "        }\n",
       "\n",
       "        return data\n",
       "      }\n",
       "\n",
       "      function graph(column, key, referenceColumn) {\n",
       "        let data = [];\n",
       "        const columnKey = key.data.key\n",
       "        let chartValue = false\n",
       "        let chartColor = undefined\n",
       "        if(!!referenceColumn){\n",
       "          column = referenceColumn.columns[columnKey]\n",
       "          chartValue = true\n",
       "          chartColor = 1\n",
       "        } else if (referenceColumn === undefined) {\n",
       "          column = &quot;&quot;\n",
       "        }\n",
       "\n",
       "        if (column.histogram || column.frequentItems) {\n",
       "          data = chartData(column)\n",
       "        } else if (referenceColumn === null ) {\n",
       "            $(&quot;.svg-container&quot;).css(&quot;padding-bottom&quot;, &quot;0&quot;)\n",
       "            return &#x27;&lt;span class=&quot;wl-table-cell__bedge-wrap&quot;&gt;No data to show the chart&lt;/span&gt;&#x27;;\n",
       "        } else if (referenceColumn === undefined) {\n",
       "            $(document).ready(function() {\n",
       "              $(&quot;.reference-table-head&quot;).addClass(&quot;d-none&quot;)\n",
       "            });\n",
       "            return &#x27;&#x27;\n",
       "        } else if (referenceColumn.frequentItems === undefined){\n",
       "            return &#x27;&#x27;;\n",
       "        }\n",
       "        return `\n",
       "          &lt;div class=&quot;svg-container&quot;&gt;\n",
       "            ${generateChart(data, ...[,,], chartColor, chartValue)}\n",
       "          &lt;/div&gt;\n",
       "        `;\n",
       "      }\n",
       "\n",
       "      function formatLabelDate(timestamp) {\n",
       "        const date = new Date(timestamp);\n",
       "        const format = d3.timeFormat(&quot;%Y-%m-%d %I:%M:%S %p %Z&quot;);\n",
       "        return format(date);\n",
       "      }\n",
       "\n",
       "      const driftCountElement = (driftCount, driftColor, driftName, driftRange) =&gt; `\n",
       "      &lt;div class=&quot;display-flex flex-direction-column&quot;&gt;\n",
       "        &lt;div class=&quot;drift-detection-info-drifts-item display-flex align-items&quot;&gt;\n",
       "          &lt;div class=&quot;drift-detection-info-drifts-item-text display-flex align-items&quot;&gt;\n",
       "            &lt;p class=&quot;drift-detection-info-drifts-item-count mb-0&quot;&gt;${driftCount}&lt;/p&gt;\n",
       "            &lt;p class=&quot;drift-detection-info-drifts-item-range display-flex justify-content-center mb-0&quot;&gt;${driftRange}&lt;/p&gt;\n",
       "          &lt;/div&gt;\n",
       "        &lt;/div&gt;\n",
       "      &lt;/div&gt;\n",
       "      `\n",
       "\n",
       "      const drifts = {\n",
       "        severe: {\n",
       "          count: 0,\n",
       "          range: &quot;with severe drift (0.00 - 0.05)&quot;,\n",
       "        },\n",
       "        moderate: {\n",
       "          count: 0,\n",
       "          range: &quot;with moderate drift (0.05 - 0.3)&quot;,\n",
       "        },\n",
       "        mild: {\n",
       "          count: 0,\n",
       "          range: &quot;with mild drift (0.3 - 0.6)&quot;,\n",
       "        },\n",
       "        minimal: {\n",
       "          count: 0,\n",
       "          range: &quot;with minimal drift (0.6 - 1.0)&quot;,\n",
       "        }\n",
       "      };\n",
       "\n",
       "      const countOfDrifts = (driftNumber, dividedNumber) =&gt; {\n",
       "        const divide = 1 / dividedNumber;\n",
       "        for(let i = 1; i &lt;= dividedNumber; i++){\n",
       "          if(driftNumber &gt;= 0 &amp;&amp; driftNumber &lt;= 0.05) {\n",
       "            Object.values(drifts)[0].count++\n",
       "            return 0\n",
       "          } else if(driftNumber &lt;= divide*i) {\n",
       "            const {severe, ...otherValues} = drifts\n",
       "            Object.values(otherValues)[i-1].count++\n",
       "            return i\n",
       "          }\n",
       "        }\n",
       "      }\n",
       "\n",
       "    abbreviate_number = function(value, fixed = 0) {\n",
       "      value = +value\n",
       "      if (value === null) { return null; } // terminate early\n",
       "      if (value === 0) { return &#x27;0&#x27;; } // terminate early\n",
       "      fixed = (!fixed || fixed &lt; 0) ? 0 : fixed; // number of decimal places to show\n",
       "      var b = (value).toPrecision(2).split(&quot;e&quot;), // get power\n",
       "          k = b.length === 1 ? 0 : Math.floor(Math.min(b[1].slice(1), 14) / 3), // floor at decimals, ceiling at trillions\n",
       "          c = k &lt; 1 ? value.toFixed(0 + fixed) : (value / Math.pow(10, k * 3) ).toFixed(1 + fixed), // divide by power\n",
       "          d = c &lt; 0 ? c : Math.abs(c), // enforce -0 is 0\n",
       "          newValue = d,\n",
       "          suffixe = [&#x27;&#x27;, &#x27;K&#x27;, &#x27;M&#x27;, &#x27;B&#x27;, &#x27;T&#x27;][k]; // append power\n",
       "      return {value, newValue, suffixe};\n",
       "    }\n",
       "\n",
       "     function formatBytes(bytes, decimals = 2) {\n",
       "       let newValue,\n",
       "       suffixe = &quot;&quot;\n",
       "       if (bytes === 0) return &#x27;0 Bytes&#x27;;\n",
       "\n",
       "       const k = 1024;\n",
       "       const dm = decimals &lt; 0 ? 0 : decimals;\n",
       "       const sizes = [&#x27;Bytes&#x27;, &#x27;KiB&#x27;, &#x27;MB&#x27;, &#x27;GB&#x27;, &#x27;TB&#x27;, &#x27;PB&#x27;, &#x27;EB&#x27;, &#x27;ZB&#x27;, &#x27;YB&#x27;];\n",
       "\n",
       "       const i = Math.floor(Math.log(bytes) / Math.log(k));\n",
       "       newValue = parseFloat((bytes / Math.pow(k, i)).toFixed(dm));\n",
       "       suffixe = sizes[i]\n",
       "       return {bytes, newValue, suffixe};\n",
       "     }\n",
       "\n",
       "     const valueSuffixe = (newNumber) =&gt; `\n",
       "       &lt;div class=&quot;statistic-measurement&quot;&gt;\n",
       "        ${newNumber}\n",
       "       &lt;/div&gt;`\n",
       "     const valueNumber = (newNumber) =&gt; `\n",
       "       &lt;div class=&quot;statistic-number&quot;&gt;\n",
       "        ${newNumber}\n",
       "       &lt;/div&gt;`\n",
       "\n",
       "     const numberWithSuffixe = (number, newNumber, suffixe) =&gt;\n",
       "       `&lt;div class=&quot;tooltip-full-number&quot;&gt;\n",
       "          &lt;div class=&quot;statistic-number&quot;&gt;\n",
       "             ${newNumber}\n",
       "            &lt;div class=&quot;statistic-measurement&quot;&gt;${suffixe}&lt;/div&gt;\n",
       "          &lt;/div&gt;\n",
       "          &lt;span class=&quot;tooltiptext&quot;&gt;${number}&lt;/span&gt;\n",
       "        &lt;/div&gt;`\n",
       "\n",
       "     Handlebars.registerHelper(&quot;observations&quot;, function (properties) {\n",
       "       const {value, newValue, suffixe} = abbreviate_number(referenceProfile.properties.observations)\n",
       "       return numberWithSuffixe(value, valueNumber(newValue), valueNumber(suffixe));\n",
       "     });\n",
       "\n",
       "     Handlebars.registerHelper(&quot;missingCells&quot;, function (properties) {\n",
       "       const {value, newValue, suffixe} = abbreviate_number(referenceProfile.properties.missing_cells)\n",
       "       if (typeof value !== &#x27;undefined&#x27; &amp;&amp; typeof newValue !== &#x27;undefined&#x27;  &amp;&amp; typeof suffixe !== &#x27;undefined&#x27; ) {\n",
       "        return numberWithSuffixe(value, valueSuffixe(`${newValue}`), suffixe);\n",
       "       }\n",
       "       return numberWithSuffixe(0, valueNumber(0), valueNumber(&#x27;&#x27;));\n",
       "     });\n",
       "\n",
       "     Handlebars.registerHelper(&quot;missingCellsPercentage&quot;, function (properties) {\n",
       "       const {value, newValue, suffixe} = abbreviate_number(referenceProfile.properties.missing_percentage)\n",
       "       if (typeof value !== &#x27;undefined&#x27; &amp;&amp; typeof newValue !== &#x27;undefined&#x27;  &amp;&amp; typeof suffixe !== &#x27;undefined&#x27; ) {\n",
       "        return numberWithSuffixe(value, valueSuffixe(`(${newValue}%)`), suffixe);\n",
       "       }\n",
       "       return numberWithSuffixe(0, valueSuffixe(`(${0}%)`), &#x27;&#x27;);\n",
       "     });\n",
       "\n",
       "     Handlebars.registerHelper(&quot;getProfileTimeStamp&quot;, function (properties) {\n",
       "       return formatLabelDate(+properties.properties.dataTimestamp)\n",
       "     });\n",
       "\n",
       "     Handlebars.registerHelper(&quot;getProfileName&quot;, function (properties) {\n",
       "       return properties.properties.tags.name\n",
       "     });\n",
       "\n",
       "      let driftCount = 0;\n",
       "      const diffFromRefTableElement = (driftFromRefNumber, circleColor) =&gt; `\n",
       "         &lt;div class=&quot;text-color padding-5 text-align-end justify-content-center&quot;&gt;\n",
       "           ${driftFromRefNumber}\n",
       "         &lt;/div&gt;\n",
       "       `\n",
       "\n",
       "       const cheqValueTypeNumber = (profile, profileValue) =&gt; {\n",
       "         let validValue;\n",
       "         if (profile &amp;&amp; profileValue !== undefined &amp;&amp; typeof profileValue === &quot;number&quot;) {\n",
       "           return true\n",
       "         } else if (profileValue !== undefined &amp;&amp; typeof profileValue !== &quot;number&quot;) {\n",
       "           return false\n",
       "         }\n",
       "       }\n",
       "\n",
       "      Handlebars.registerHelper(&quot;getDiffFromRef&quot;, function (column, key) {\n",
       "        const columnKey = key.data.key\n",
       "        const {drift_from_ref} = referenceProfile.columns[columnKey]\n",
       "\n",
       "        if (cheqValueTypeNumber(referenceProfile, drift_from_ref)) {\n",
       "          driftCount++\n",
       "          const driftFromRefNumber = drift_from_ref.toPrecision(2)\n",
       "          const circleColor = Object.values(drifts)[countOfDrifts(driftFromRefNumber, 3)].colorClass\n",
       "\n",
       "          $(document).ready(() =&gt; {\n",
       "             $(&quot;.drift-count&quot;).html(driftCount)\n",
       "             $(&quot;.all-features&quot;).html(Object.keys(referenceProfile.columns).length)\n",
       "           })\n",
       "\n",
       "          return diffFromRefTableElement(driftFromRefNumber, circleColor)\n",
       "\n",
       "        } else if (cheqValueTypeNumber(referenceProfile, drift_from_ref) !== undefined) {\n",
       "          driftCount++\n",
       "          Object.values(drifts)[0].count++\n",
       "          return diffFromRefTableElement(&quot;undefined&quot;, &quot;severe-drift-circle-color&quot;)\n",
       "        }\n",
       "\n",
       "        return &#x27;&lt;p style=&quot;color: black&quot;&gt;-&lt;/p&gt;&#x27;;\n",
       "      });\n",
       "\n",
       "      $(document).ready(() =&gt;\n",
       "        Object.values(drifts).map(({count, name, colorClass, range}) =&gt;{\n",
       "          $(&quot;#drift-detection-info-drifts&quot;)\n",
       "          .append(driftCountElement(count, colorClass, name, range))\n",
       "        })\n",
       "      )\n",
       "\n",
       "      Handlebars.registerHelper(&quot;inferredType&quot;, function (column) {\n",
       "        let infferedType = &quot;&quot;;\n",
       "\n",
       "        if (column.isDiscrete) {\n",
       "          infferedType = &quot;Discrete&quot;;\n",
       "        } else {\n",
       "          infferedType = &quot;Non-discrete&quot;;\n",
       "        }\n",
       "        return infferedType;\n",
       "      });\n",
       "\n",
       "      Handlebars.registerHelper(&quot;frequentItems&quot;, function (column) {\n",
       "        frequentItemsElemString = &quot;&quot;;\n",
       "        if (column.isDiscrete) {\n",
       "          const slicedFrequentItems = column.frequentItems.items.slice(0, 5);\n",
       "          for (let fi = 0; fi &lt; slicedFrequentItems.length; fi++) {\n",
       "            frequentItemsElemString +=\n",
       "              &#x27;&lt;span class=&quot;wl-table-cell__bedge&quot;&gt;&#x27; + slicedFrequentItems[fi].jsonValue + &quot;&lt;/span&gt;&quot;;\n",
       "          }\n",
       "        } else {\n",
       "          frequentItemsElemString += &quot;No data to show&quot;;\n",
       "        }\n",
       "        return frequentItemsElemString;\n",
       "      });\n",
       "\n",
       "      Handlebars.registerHelper(&quot;totalCount&quot;, function (column) {\n",
       "        if (column.featureStats) {\n",
       "          return column.featureStats.total_count;\n",
       "        }\n",
       "\n",
       "        return &quot;-&quot;;\n",
       "      });\n",
       "\n",
       "      Handlebars.registerHelper(&quot;mean&quot;, function (column) {\n",
       "        if (column.featureStats?.descriptive_statistics) {\n",
       "          return fixNumberTo(column.featureStats.descriptive_statistics.mean);\n",
       "        }\n",
       "        return &quot;-&quot;;\n",
       "      });\n",
       "\n",
       "      Handlebars.registerHelper(&quot;getGraphHtml&quot;,(column,key) =&gt; graph(column, key, null));\n",
       "      Handlebars.registerHelper(&quot;getReferenceGraphHtml&quot;,(column,key) =&gt; graph(column, key, referenceProfile));\n",
       "\n",
       "      Handlebars.registerHelper(&quot;getDiscreteTypeCount&quot;, function () {\n",
       "        let count = 0;\n",
       "\n",
       "        Object.entries(this.columns).forEach((feature) =&gt; {\n",
       "          if (feature[1].isDiscrete === true) {\n",
       "            count++;\n",
       "          }\n",
       "        });\n",
       "        return count.toString();\n",
       "      });\n",
       "\n",
       "      Handlebars.registerHelper(&quot;getNonDiscreteTypeCount&quot;, function () {\n",
       "        let count = 0;\n",
       "\n",
       "        Object.entries(this.columns).forEach((feature) =&gt; {\n",
       "          if (feature[1].isDiscrete === false) {\n",
       "            count++;\n",
       "          }\n",
       "        });\n",
       "        return count;\n",
       "      });\n",
       "\n",
       "      Handlebars.registerHelper(&quot;getUnknownTypeCount&quot;, function () {\n",
       "        let count = 0;\n",
       "        return count;\n",
       "        Object.entries(this.columns).forEach((feature) =&gt; {\n",
       "          if (!feature[1].isDiscrete) {\n",
       "            count++;\n",
       "          }\n",
       "        });\n",
       "        return count;\n",
       "      });\n",
       "    }\n",
       "\n",
       "    function initHandlebarsTemplate() {\n",
       "      // Replace this context with JSON from .py file\n",
       "      const context = {&quot;columns&quot;: {&quot;pH&quot;: {&quot;histogram&quot;: {&quot;start&quot;: 2.89, &quot;end&quot;: 4.010000401, &quot;width&quot;: 0, &quot;counts&quot;: [6, 0, 4, 4, 6, 5, 17, 21, 37, 37, 44, 28, 35, 42, 30, 11, 18, 18, 14, 9, 3, 8, 4, 3, 0, 0, 0, 2, 0, 2], &quot;max&quot;: 4.01, &quot;min&quot;: 2.89, &quot;bins&quot;: [2.89, 2.9273333467000002, 2.9646666934000003, 3.0020000401, 3.0393333868, 3.0766667335, 3.1140000802000003, 3.1513334269, 3.1886667736, 3.2260001203, 3.2633334670000003, 3.3006668137, 3.3380001604, 3.3753335071, 3.4126668538000002, 3.4500002005, 3.4873335472, 3.5246668939, 3.5620002406, 3.5993335873000003, 3.636666934, 3.6740002807, 3.7113336274, 3.7486669741, 3.7860003208000004, 3.8233336675, 3.8606670142, 3.8980003609000002, 3.9353337076, 3.9726670543, 4.010000401], &quot;n&quot;: 408}, &quot;frequentItems&quot;: null, &quot;drift_from_ref&quot;: null, &quot;isDiscrete&quot;: false, &quot;featureStats&quot;: 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&quot;ninety_fifth_percentile&quot;: 11.9}, &quot;descriptive_statistics&quot;: {&quot;stddev&quot;: 2.013014441140909, &quot;coefficient_of_variation&quot;: 0.24676558362692394, &quot;sum&quot;: 3328.3, &quot;variance&quot;: 4.052227140241847, &quot;mean&quot;: 8.157598039215687}}}, &quot;quality&quot;: {&quot;histogram&quot;: null, &quot;frequentItems&quot;: [{&quot;value&quot;: &quot;bad&quot;, &quot;estimate&quot;: 267}, {&quot;value&quot;: &quot;good&quot;, &quot;estimate&quot;: 141}], &quot;drift_from_ref&quot;: null, &quot;isDiscrete&quot;: true, &quot;featureStats&quot;: {&quot;total_count&quot;: 408, &quot;missing&quot;: 0, &quot;distinct&quot;: 0.4901960796487877, &quot;min&quot;: null, &quot;max&quot;: null, &quot;range&quot;: null, &quot;quantile_statistics&quot;: null, &quot;descriptive_statistics&quot;: {&quot;stddev&quot;: null, &quot;coefficient_of_variation&quot;: null, &quot;sum&quot;: null, &quot;variance&quot;: null, &quot;mean&quot;: null}}}, &quot;free sulfur 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&quot;coefficient_of_variation&quot;: 0.18776807233831805, &quot;sum&quot;: 275.97999999999996, &quot;variance&quot;: 0.016131635111046875, &quot;mean&quot;: 0.6764215686274508}}}, &quot;residual sugar&quot;: {&quot;histogram&quot;: {&quot;start&quot;: 0.9, &quot;end&quot;: 12.90000129, &quot;width&quot;: 0, &quot;counts&quot;: [8, 39, 118, 125, 40, 16, 11, 8, 12, 8, 5, 2, 2, 4, 4, 0, 0, 1, 4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1], &quot;max&quot;: 12.9, &quot;min&quot;: 0.9, &quot;bins&quot;: [0.9, 1.300000043, 1.7000000860000002, 2.100000129, 2.500000172, 2.900000215, 3.3000002580000003, 3.700000301, 4.100000344000001, 4.500000387, 4.90000043, 5.300000473000001, 5.700000516000001, 6.100000559000001, 6.500000602000001, 6.900000645, 7.300000688000001, 7.700000731000001, 8.100000774, 8.500000817, 8.90000086, 9.300000903, 9.700000946000001, 10.100000989000002, 10.500001032000002, 10.900001075, 11.300001118, 11.700001161000001, 12.100001204000002, 12.500001247000002, 12.90000129], 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       "\" width=100% height=1000px\n",
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       "<IPython.core.display.HTML object>"
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     },
     "execution_count": 10,
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   ],
   "source": [
    "visualization.summary_drift_report()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "\n",
    "The drift values are calculated in different ways, depending on the inferred type. For fractional features, the drift detection uses the quantile values and the corresponding CDFs to calculate the approximate KS statistic.For categorical features, the drift detections uses the top frequent items summary, unique count estimate and total count estimate for each feature to calculate the estimated Chi-Squared statistic.\n",
    "\n",
    "For `alcohol`, there's an alert of severe drift, with calculated p-value of 0.00. That makes sense, since both distributions are mutually exclusive.\n",
    "\n",
    "We can also conclude some thing just by visually inspecting the distributions. We can clearly see that the \"good-to-bad\" ratio changes significantly between both profiles. That in itself is a good indicator that the alcohol content might be correlated to the wine's quality\n",
    "\n",
    "The drift value is also relevant for a number of other features. For example, the `density` also is flagged with significant drift. Let's look at this feature in particular."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Histograms and Bar charts"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now that we have a general idea of both profiles, let's take a look at some of the individual features.\n",
    "\n",
    "First, let's use the `double_histogram` to check on the `density` feature."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
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       "\n",
       "  &lt;script src=&quot;https://cdnjs.cloudflare.com/ajax/libs/d3/6.7.0/d3.min.js&quot; integrity=&quot;sha512-cd6CHE+XWDQ33ElJqsi0MdNte3S+bQY819f7p3NUHgwQQLXSKjE4cPZTeGNI+vaxZynk1wVU3hoHmow3m089wA==&quot; crossorigin=&quot;anonymous&quot; referrerpolicy=&quot;no-referrer&quot;&gt;&lt;/script&gt;\n",
       "\n",
       "  &lt;script&gt;\n",
       "    function registerHandlebarHelperFunctions() {\n",
       "      //helper fun\n",
       "\n",
       "      class GenerateChartParams {\n",
       "        constructor(height, width, targetData, referenceData, bottomMargin=30, topMargin=5) {\n",
       "          this.MARGIN = {\n",
       "            TOP: topMargin,\n",
       "            RIGHT: 5,\n",
       "            BOTTOM: bottomMargin,\n",
       "            LEFT: 55,\n",
       "          };\n",
       "          this.SVG_WIDTH = width;\n",
       "          this.SVG_HEIGHT = height;\n",
       "          this.CHART_WIDTH = this.SVG_WIDTH - this.MARGIN.LEFT - this.MARGIN.RIGHT;\n",
       "          this.CHART_HEIGHT = this.SVG_HEIGHT - this.MARGIN.TOP - this.MARGIN.BOTTOM;\n",
       "          this.svgEl = d3.create(&quot;svg&quot;)\n",
       "             .attr(&quot;preserveAspectRatio&quot;, &quot;xMinYMin meet&quot;)\n",
       "             .attr(&quot;viewBox&quot;, `0 0 ${$(window).width()+100} ${$(window).height()-30}`)\n",
       "             .classed(&quot;svg-content-responsive&quot;, true)\n",
       "          this.maxYValue = d3.max(targetData, (d) =&gt; Math.abs(d.axisY));\n",
       "          this.minYValue = d3.min(targetData, (d) =&gt; Math.abs(d.axisY));\n",
       "          const mergedReferenceData = referenceData.map(({axisX, axisY}) =&gt; {\n",
       "            return {axisX, axisY}\n",
       "          })\n",
       "          const mergedTargetedData = targetData.map(({axisX, axisY}) =&gt; {\n",
       "            return {axisX, axisY}\n",
       "          })\n",
       "\n",
       "          this.charts2 = mergedReferenceData.concat(mergedTargetedData)\n",
       "          this.charts2 = this.charts2.sort(function(a, b) { return a - b; });\n",
       "\n",
       "          this.targetBinWidth = targetData[1]?.axisX - targetData[0]?.axisX\n",
       "          this.referenceBinWidth = referenceData[1]?.axisX - referenceData[0]?.axisX\n",
       "          this.maxTargetXValue = d3.max(targetData, (d) =&gt; d.axisX);\n",
       "\n",
       "          this.maxReferenceXValue = d3.max(referenceData, (d) =&gt; d.axisX);\n",
       "\n",
       "          this.xScale = d3\n",
       "              .scaleLinear()\n",
       "         .domain([d3.min(this.charts2, function(d) { return parseFloat(d.axisX); }),(this.maxTargetXValue+this.targetBinWidth &gt;= this.maxReferenceXValue+this.referenceBinWidth) ? this.maxTargetXValue+this.targetBinWidth:this.maxReferenceXValue+this.referenceBinWidth])     // I was too lazy to do basic math of max(bin_start + width for each distribution)\n",
       "         .range([0, this.CHART_WIDTH ]);\n",
       "\n",
       "         this.svgEl.append(&quot;g&quot;)\n",
       "             .attr(&quot;transform&quot;, &quot;translate(&quot;+ this.MARGIN.LEFT +&quot;,&quot; + this.SVG_HEIGHT + &quot;)&quot;)\n",
       "             .call(d3.axisBottom(this.xScale));\n",
       "          this.yScale = d3.scaleLinear()\n",
       "              .range([this.CHART_HEIGHT , 0])\n",
       "              this.yScale.domain([d3.min(this.charts2, function(d) { return parseFloat(d.axisY); }), d3.max(this.charts2, function(d) { return parseFloat(d.axisY); })]);\n",
       "        }\n",
       "      }\n",
       "\n",
       "      function chartData(column) {\n",
       "        const data = [];\n",
       "        if (column?.histogram) {\n",
       "          for (let i = 0; i&lt;column.histogram.bins.length; i++) {\n",
       "            data.push({\n",
       "              axisY: column.histogram.counts[i] || 0,\n",
       "              axisX: column.histogram.bins[i] || 0,\n",
       "            });\n",
       "          }\n",
       "        } else {\n",
       "            $(document).ready(() =&gt;\n",
       "              $(&quot;.desktop-content&quot;).html(`\n",
       "                &lt;p style=&quot;height: ${$(window).height()}px&quot; class=&quot;error-message&quot;&gt;\n",
       "                  Something went wrong. Please try again.\n",
       "                &lt;/p&gt;\n",
       "              `)\n",
       "            )\n",
       "          }\n",
       "\n",
       "        return data\n",
       "      }\n",
       "\n",
       "      function generateDoubleHistogramChart(targetData, referenceData) {\n",
       "        let histogramData = [],\n",
       "            overlappedHistogramData = [];\n",
       "        let yFormat;\n",
       "\n",
       "        histogramData = chartData(targetData)\n",
       "        overlappedHistogramData = chartData(referenceData)\n",
       "\n",
       "        const sizes = new GenerateChartParams($(window).height()-80, $(window).width(), histogramData, overlappedHistogramData)\n",
       "        const {\n",
       "          MARGIN,\n",
       "          SVG_WIDTH,\n",
       "          SVG_HEIGHT,\n",
       "          CHART_WIDTH,\n",
       "          CHART_HEIGHT,\n",
       "          svgEl,\n",
       "          maxYValue,\n",
       "          minYValue,\n",
       "          xScale,\n",
       "          yScale\n",
       "        } = sizes\n",
       "\n",
       "        const rectColors = [&quot;#44C0E7&quot;, &quot;#F5843C&quot;]\n",
       "        const yAxis = d3.axisLeft(yScale).ticks(SVG_HEIGHT / 40, yFormat);\n",
       "        yFormat = yScale.tickFormat(100, yFormat);\n",
       "\n",
       "        svgEl.append(&quot;g&quot;)\n",
       "          .attr(&quot;transform&quot;, `translate(${MARGIN.LEFT}, ${MARGIN.BOTTOM})`)\n",
       "          .call(yAxis)\n",
       "          .call(g =&gt; g.select(&quot;.domain&quot;).remove())\n",
       "          .call(g =&gt; g.selectAll(&quot;.tick line&quot;)\n",
       "              .attr(&quot;x2&quot;, CHART_WIDTH)\n",
       "              .attr(&quot;stroke-opacity&quot;, 0.1))\n",
       "          .call(g =&gt; g.append(&quot;text&quot;)\n",
       "              .attr(&quot;x&quot;, -MARGIN.LEFT)\n",
       "              .attr(&quot;y&quot;, 10)\n",
       "              .attr(&quot;fill&quot;, &quot;currentColor&quot;)\n",
       "              .attr(&quot;text-anchor&quot;, &quot;start&quot;))\n",
       "\n",
       "        svgEl.append(&quot;text&quot;)\n",
       "          .attr(&quot;transform&quot;,\n",
       "                &quot;translate(&quot; + (CHART_WIDTH/2) + &quot; ,&quot; +\n",
       "                               (CHART_HEIGHT + MARGIN.TOP + 75) + &quot;)&quot;)\n",
       "          .style(&quot;text-anchor&quot;, &quot;middle&quot;)\n",
       "          .text(&quot;Values&quot;)\n",
       "          .style(&quot;font-size&quot;, &quot;15&quot;)\n",
       "          .style(&quot;opacity&quot;, &quot;0.6&quot;)\n",
       "\n",
       "        svgEl.append(&quot;text&quot;)\n",
       "          .attr(&quot;transform&quot;, &quot;rotate(-90)&quot;)\n",
       "          .attr(&quot;y&quot;, 0)\n",
       "          .attr(&quot;x&quot;, 0 - (SVG_HEIGHT / 2))\n",
       "          .attr(&quot;dy&quot;, &quot;1em&quot;)\n",
       "          .style(&quot;text-anchor&quot;, &quot;middle&quot;)\n",
       "          .text(&quot;Counts&quot;)\n",
       "          .style(&quot;font-size&quot;, &quot;15&quot;)\n",
       "          .style(&quot;opacity&quot;, &quot;0.6&quot;)\n",
       "\n",
       "          const gChart = svgEl.append(&quot;g&quot;);\n",
       "          gChart\n",
       "          .attr(&quot;transform&quot;, &quot;translate(&quot;+ MARGIN.LEFT +&quot;,0)&quot;)\n",
       "          .selectAll(&quot;.bar&quot;)\n",
       "          .data(histogramData)\n",
       "          .enter()\n",
       "          .append(&quot;rect&quot;)\n",
       "          .style(&quot;stroke&quot;, &quot;#021826&quot;)\n",
       "          .classed(&quot;bar&quot;, true)\n",
       "          .attr(&quot;width&quot;, function(d) { return xScale(histogramData[1]?.axisX)-xScale(histogramData[0]?.axisX); })\n",
       "          .attr(&quot;height&quot;, (d) =&gt; CHART_HEIGHT - yScale(d.axisY))\n",
       "          .attr(&quot;x&quot;, 1)\n",
       "          .attr(&quot;transform&quot;, function(d) { return &quot;translate(&quot; + xScale(d.axisX) + &quot;,&quot; + 0  +  &quot;)&quot;; })\n",
       "          .attr(&quot;y&quot;, (d) =&gt; yScale(d.axisY) + MARGIN.TOP + MARGIN.BOTTOM)\n",
       "          .attr(&quot;fill&quot;, rectColors[0])\n",
       "          .style(&quot;opacity&quot;,&quot;0.6&quot;)\n",
       "\n",
       "          const gChart1 = svgEl.append(&quot;g&quot;);\n",
       "          gChart1\n",
       "          .attr(&quot;transform&quot;, &quot;translate(&quot;+ MARGIN.LEFT +&quot;,0)&quot;)\n",
       "          .selectAll(&quot;.bar&quot;)\n",
       "          .data(overlappedHistogramData)\n",
       "          .enter()\n",
       "          .append(&quot;rect&quot;)\n",
       "          .style(&quot;stroke&quot;, &quot;#021826&quot;)\n",
       "          .classed(&quot;bar&quot;, true)\n",
       "          .attr(&quot;width&quot;, function(d) { return xScale(overlappedHistogramData[1]?.axisX)-xScale(overlappedHistogramData[0]?.axisX); })\n",
       "          .attr(&quot;height&quot;, (d) =&gt; CHART_HEIGHT - yScale(d.axisY))\n",
       "          .attr(&quot;x&quot;, 1)\n",
       "          .attr(&quot;transform&quot;, function(d) { return &quot;translate(&quot; + xScale(d.axisX) + &quot;,&quot; + 0  +  &quot;)&quot;; })\n",
       "          .attr(&quot;y&quot;, (d) =&gt; yScale(d.axisY) + MARGIN.TOP + MARGIN.BOTTOM)\n",
       "          .attr(&quot;fill&quot;, rectColors[1])\n",
       "          .style(&quot;opacity&quot;,&quot;0.6&quot;)\n",
       "\n",
       "        return svgEl._groups[0][0].outerHTML;\n",
       "      }\n",
       "\n",
       "      const profileFromCSVfile = {&quot;density&quot;: {&quot;histogram&quot;: {&quot;start&quot;: 0.99236, &quot;end&quot;: 1.003690100369, &quot;width&quot;: 0, &quot;counts&quot;: [0, 2, 0, 4, 4, 12, 36, 38, 75, 98, 129, 138, 130, 125, 102, 80, 46, 38, 40, 34, 26, 12, 8, 4, 0, 0, 6, 2, 0, 2], &quot;max&quot;: 1.00369, &quot;min&quot;: 0.99236, &quot;bins&quot;: [0.99236, 0.9927376700123001, 0.9931153400246, 0.9934930100369, 0.9938706800492, 0.9942483500615, 0.9946260200738, 0.9950036900861, 0.9953813600984001, 0.9957590301107, 0.996136700123, 0.9965143701353, 0.9968920401476, 0.9972697101599, 0.9976473801722, 0.9980250501845, 0.9984027201968, 0.9987803902091, 0.9991580602214, 0.9995357302337, 0.999913400246, 1.0002910702582999, 1.0006687402706, 1.0010464102829, 1.0014240802952, 1.0018017503075, 1.0021794203198, 1.0025570903321, 1.0029347603443999, 1.0033124303567, 1.003690100369], &quot;n&quot;: 1191}}}\n",
       "\n",
       "      Handlebars.registerHelper(&quot;getDoubleHistogramChart&quot;,(column,key) =&gt; {\n",
       "          const columnKey = key.data.key\n",
       "        try {\n",
       "          if (profileFromCSVfile) {\n",
       "          return  generateDoubleHistogramChart (\n",
       "              column,\n",
       "              profileFromCSVfile[columnKey]\n",
       "            )\n",
       "          }\n",
       "        } catch (err) {\n",
       "          $(document).ready(() =&gt;\n",
       "            $(&quot;.desktop-content&quot;).html(`\n",
       "              &lt;p style=&quot;height: ${$(window).height()}px&quot; class=&quot;error-message&quot;&gt;\n",
       "                Something went wrong. Please try again.\n",
       "              &lt;/p&gt;\n",
       "            `)\n",
       "          )\n",
       "        }\n",
       "      });\n",
       "    }\n",
       "\n",
       "    function initWebsiteScripts() {\n",
       "      $(&quot;.svg-container&quot;).css(&quot;height&quot;, $(window).height() - 32)\n",
       "    }\n",
       "\n",
       "    function initHandlebarsTemplate() {\n",
       "      // Replace this context with JSON from .py file\n",
       "      const context = {&quot;density&quot;: {&quot;histogram&quot;: {&quot;start&quot;: 0.99007, &quot;end&quot;: 1.0032001003200002, &quot;width&quot;: 0, &quot;counts&quot;: [4, 4, 0, 10, 4, 11, 8, 32, 32, 37, 38, 49, 46, 25, 25, 18, 15, 8, 4, 8, 6, 6, 2, 4, 4, 2, 0, 2, 0, 4], &quot;max&quot;: 1.0032, &quot;min&quot;: 0.99007, &quot;bins&quot;: [0.99007, 0.9905076700106666, 0.9909453400213334, 0.991383010032, 0.9918206800426667, 0.9922583500533334, 0.992696020064, 0.9931336900746667, 0.9935713600853334, 0.9940090300960001, 0.9944467001066667, 0.9948843701173334, 0.9953220401280001, 0.9957597101386667, 0.9961973801493335, 0.9966350501600001, 0.9970727201706667, 0.9975103901813335, 0.9979480601920001, 0.9983857302026667, 0.9988234002133335, 0.9992610702240001, 0.9996987402346668, 1.0001364102453334, 1.0005740802560001, 1.0010117502666669, 1.0014494202773334, 1.0018870902880002, 1.002324760298667, 1.0027624303093334, 1.0032001003200002], &quot;n&quot;: 408}}};\n",
       "      // Config handlebars and pass data to HBS template\n",
       "      const source = document.getElementById(&quot;entry-template&quot;).innerHTML;\n",
       "      const template = Handlebars.compile(source);\n",
       "      const html = template(context);\n",
       "      const target = document.getElementById(&quot;generated-html&quot;);\n",
       "      target.innerHTML = html;\n",
       "    }\n",
       "\n",
       "    // Invoke functions -- keep in mind invokation order\n",
       "    registerHandlebarHelperFunctions();\n",
       "    initHandlebarsTemplate();\n",
       "    initWebsiteScripts();\n",
       "  &lt;/script&gt;\n",
       "&lt;/html&gt;\n",
       "\" width=100% height=300px\n",
       "        frameBorder=0></iframe>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "visualization.double_histogram(feature_name=\"density\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can visually assess that there seems to be a drift between both distributions indeed. Maybe the alcohol content plays a significant role on the wine's density.\n",
    "\n",
    "As is the case with the alcohol content, our potential model would see density values in production never before seen in the training test. We can certainly expect performance degradation during production."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's check the `alcohol` feature. Obviously there's a clear separation between the distributions at the value of `11`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  &lt;head&gt;\n",
       "    &lt;meta charset=&quot;UTF-8&quot; /&gt;\n",
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       "    &lt;title&gt;Profile Visualizer | whylogs&lt;/title&gt;\n",
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       "        display: inline-block;\n",
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       "\n",
       "      .svg-content-responsive {\n",
       "        display: inline-block;\n",
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       "      display: flex;\n",
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       "\n",
       "  &lt;body id=&quot;generated-html&quot;&gt;&lt;/body&gt;\n",
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       "    \n",
       "      &lt;div class=&quot;desktop-content&quot;&gt;\n",
       "{{#each this}}              &lt;div class=&quot;chart-box&quot; id=&quot;chart-box&quot;&gt;\n",
       "                &lt;div class=&quot;chart-box-title display-flex&quot;&gt;\n",
       "                  &lt;p&gt;{{@key}}&lt;/p&gt;\n",
       "                  &lt;div class=&quot;display-flex&quot;&gt;\n",
       "                    &lt;div class=&quot;colors-for-distingushing-charts&quot;&gt;\n",
       "                      &lt;div class=&quot;circle-color&quot; style=&quot;background: #44C0E7;&quot;&gt;&lt;/div&gt;\n",
       "                      &lt;text alignment-baseline=&quot;middle&quot; style=&quot;font-size: 15px;&quot;&gt;Target&lt;/text&gt;\n",
       "                    &lt;/div&gt;\n",
       "                    &lt;div class=&quot;colors-for-distingushing-charts&quot;&gt;\n",
       "                      &lt;div class=&quot;circle-color&quot; style=&quot;background: #F5843C&quot;&gt;&lt;/div&gt;\n",
       "                      &lt;text alignment-baseline=&quot;middle&quot; style=&quot;font-size: 15px;&quot;&gt;Reference&lt;/text&gt;\n",
       "                    &lt;/div&gt;\n",
       "                  &lt;/div&gt;&lt;/div&gt;\n",
       "                &lt;div class=&quot;svg-container&quot;&gt;{{{getDoubleHistogramChart this}}}&lt;/div&gt;\n",
       "              &lt;/div&gt;\n",
       "{{/each}}      &lt;/div&gt;\n",
       "      &lt;div class=&quot;no-responsive&quot;&gt;\n",
       "        &lt;div class=&quot;no-responsive__content&quot;&gt;\n",
       "          &lt;h1 class=&quot;no-responsive__title&quot;&gt;Hold on! :)&lt;/h1&gt;\n",
       "          &lt;p class=&quot;no-responsive__text&quot;&gt;\n",
       "            It looks like your current screen size or device is not yet supported by the WhyLabs Sandbox. The Sandbox is\n",
       "            best experienced on a desktop computer. Please try maximizing this window or switching to another device. We\n",
       "            are working on adding support for a larger variety of devices.\n",
       "          &lt;/p&gt;\n",
       "        &lt;/div&gt;\n",
       "      &lt;/div&gt;\n",
       "    \n",
       "  &lt;/script&gt;\n",
       "\n",
       "  &lt;script src=&quot;https://code.jquery.com/jquery-3.6.0.min.js&quot; integrity=&quot;sha256-/xUj+3OJU5yExlq6GSYGSHk7tPXikynS7ogEvDej/m4=&quot; crossorigin=&quot;anonymous&quot;&gt;&lt;/script&gt;\n",
       "\n",
       "  &lt;script src=&quot;https://cdnjs.cloudflare.com/ajax/libs/d3/6.7.0/d3.min.js&quot; integrity=&quot;sha512-cd6CHE+XWDQ33ElJqsi0MdNte3S+bQY819f7p3NUHgwQQLXSKjE4cPZTeGNI+vaxZynk1wVU3hoHmow3m089wA==&quot; crossorigin=&quot;anonymous&quot; referrerpolicy=&quot;no-referrer&quot;&gt;&lt;/script&gt;\n",
       "\n",
       "  &lt;script&gt;\n",
       "    function registerHandlebarHelperFunctions() {\n",
       "      //helper fun\n",
       "\n",
       "      class GenerateChartParams {\n",
       "        constructor(height, width, targetData, referenceData, bottomMargin=30, topMargin=5) {\n",
       "          this.MARGIN = {\n",
       "            TOP: topMargin,\n",
       "            RIGHT: 5,\n",
       "            BOTTOM: bottomMargin,\n",
       "            LEFT: 55,\n",
       "          };\n",
       "          this.SVG_WIDTH = width;\n",
       "          this.SVG_HEIGHT = height;\n",
       "          this.CHART_WIDTH = this.SVG_WIDTH - this.MARGIN.LEFT - this.MARGIN.RIGHT;\n",
       "          this.CHART_HEIGHT = this.SVG_HEIGHT - this.MARGIN.TOP - this.MARGIN.BOTTOM;\n",
       "          this.svgEl = d3.create(&quot;svg&quot;)\n",
       "             .attr(&quot;preserveAspectRatio&quot;, &quot;xMinYMin meet&quot;)\n",
       "             .attr(&quot;viewBox&quot;, `0 0 ${$(window).width()+100} ${$(window).height()-30}`)\n",
       "             .classed(&quot;svg-content-responsive&quot;, true)\n",
       "          this.maxYValue = d3.max(targetData, (d) =&gt; Math.abs(d.axisY));\n",
       "          this.minYValue = d3.min(targetData, (d) =&gt; Math.abs(d.axisY));\n",
       "          const mergedReferenceData = referenceData.map(({axisX, axisY}) =&gt; {\n",
       "            return {axisX, axisY}\n",
       "          })\n",
       "          const mergedTargetedData = targetData.map(({axisX, axisY}) =&gt; {\n",
       "            return {axisX, axisY}\n",
       "          })\n",
       "\n",
       "          this.charts2 = mergedReferenceData.concat(mergedTargetedData)\n",
       "          this.charts2 = this.charts2.sort(function(a, b) { return a - b; });\n",
       "\n",
       "          this.targetBinWidth = targetData[1]?.axisX - targetData[0]?.axisX\n",
       "          this.referenceBinWidth = referenceData[1]?.axisX - referenceData[0]?.axisX\n",
       "          this.maxTargetXValue = d3.max(targetData, (d) =&gt; d.axisX);\n",
       "\n",
       "          this.maxReferenceXValue = d3.max(referenceData, (d) =&gt; d.axisX);\n",
       "\n",
       "          this.xScale = d3\n",
       "              .scaleLinear()\n",
       "         .domain([d3.min(this.charts2, function(d) { return parseFloat(d.axisX); }),(this.maxTargetXValue+this.targetBinWidth &gt;= this.maxReferenceXValue+this.referenceBinWidth) ? this.maxTargetXValue+this.targetBinWidth:this.maxReferenceXValue+this.referenceBinWidth])     // I was too lazy to do basic math of max(bin_start + width for each distribution)\n",
       "         .range([0, this.CHART_WIDTH ]);\n",
       "\n",
       "         this.svgEl.append(&quot;g&quot;)\n",
       "             .attr(&quot;transform&quot;, &quot;translate(&quot;+ this.MARGIN.LEFT +&quot;,&quot; + this.SVG_HEIGHT + &quot;)&quot;)\n",
       "             .call(d3.axisBottom(this.xScale));\n",
       "          this.yScale = d3.scaleLinear()\n",
       "              .range([this.CHART_HEIGHT , 0])\n",
       "              this.yScale.domain([d3.min(this.charts2, function(d) { return parseFloat(d.axisY); }), d3.max(this.charts2, function(d) { return parseFloat(d.axisY); })]);\n",
       "        }\n",
       "      }\n",
       "\n",
       "      function chartData(column) {\n",
       "        const data = [];\n",
       "        if (column?.histogram) {\n",
       "          for (let i = 0; i&lt;column.histogram.bins.length; i++) {\n",
       "            data.push({\n",
       "              axisY: column.histogram.counts[i] || 0,\n",
       "              axisX: column.histogram.bins[i] || 0,\n",
       "            });\n",
       "          }\n",
       "        } else {\n",
       "            $(document).ready(() =&gt;\n",
       "              $(&quot;.desktop-content&quot;).html(`\n",
       "                &lt;p style=&quot;height: ${$(window).height()}px&quot; class=&quot;error-message&quot;&gt;\n",
       "                  Something went wrong. Please try again.\n",
       "                &lt;/p&gt;\n",
       "              `)\n",
       "            )\n",
       "          }\n",
       "\n",
       "        return data\n",
       "      }\n",
       "\n",
       "      function generateDoubleHistogramChart(targetData, referenceData) {\n",
       "        let histogramData = [],\n",
       "            overlappedHistogramData = [];\n",
       "        let yFormat;\n",
       "\n",
       "        histogramData = chartData(targetData)\n",
       "        overlappedHistogramData = chartData(referenceData)\n",
       "\n",
       "        const sizes = new GenerateChartParams($(window).height()-80, $(window).width(), histogramData, overlappedHistogramData)\n",
       "        const {\n",
       "          MARGIN,\n",
       "          SVG_WIDTH,\n",
       "          SVG_HEIGHT,\n",
       "          CHART_WIDTH,\n",
       "          CHART_HEIGHT,\n",
       "          svgEl,\n",
       "          maxYValue,\n",
       "          minYValue,\n",
       "          xScale,\n",
       "          yScale\n",
       "        } = sizes\n",
       "\n",
       "        const rectColors = [&quot;#44C0E7&quot;, &quot;#F5843C&quot;]\n",
       "        const yAxis = d3.axisLeft(yScale).ticks(SVG_HEIGHT / 40, yFormat);\n",
       "        yFormat = yScale.tickFormat(100, yFormat);\n",
       "\n",
       "        svgEl.append(&quot;g&quot;)\n",
       "          .attr(&quot;transform&quot;, `translate(${MARGIN.LEFT}, ${MARGIN.BOTTOM})`)\n",
       "          .call(yAxis)\n",
       "          .call(g =&gt; g.select(&quot;.domain&quot;).remove())\n",
       "          .call(g =&gt; g.selectAll(&quot;.tick line&quot;)\n",
       "              .attr(&quot;x2&quot;, CHART_WIDTH)\n",
       "              .attr(&quot;stroke-opacity&quot;, 0.1))\n",
       "          .call(g =&gt; g.append(&quot;text&quot;)\n",
       "              .attr(&quot;x&quot;, -MARGIN.LEFT)\n",
       "              .attr(&quot;y&quot;, 10)\n",
       "              .attr(&quot;fill&quot;, &quot;currentColor&quot;)\n",
       "              .attr(&quot;text-anchor&quot;, &quot;start&quot;))\n",
       "\n",
       "        svgEl.append(&quot;text&quot;)\n",
       "          .attr(&quot;transform&quot;,\n",
       "                &quot;translate(&quot; + (CHART_WIDTH/2) + &quot; ,&quot; +\n",
       "                               (CHART_HEIGHT + MARGIN.TOP + 75) + &quot;)&quot;)\n",
       "          .style(&quot;text-anchor&quot;, &quot;middle&quot;)\n",
       "          .text(&quot;Values&quot;)\n",
       "          .style(&quot;font-size&quot;, &quot;15&quot;)\n",
       "          .style(&quot;opacity&quot;, &quot;0.6&quot;)\n",
       "\n",
       "        svgEl.append(&quot;text&quot;)\n",
       "          .attr(&quot;transform&quot;, &quot;rotate(-90)&quot;)\n",
       "          .attr(&quot;y&quot;, 0)\n",
       "          .attr(&quot;x&quot;, 0 - (SVG_HEIGHT / 2))\n",
       "          .attr(&quot;dy&quot;, &quot;1em&quot;)\n",
       "          .style(&quot;text-anchor&quot;, &quot;middle&quot;)\n",
       "          .text(&quot;Counts&quot;)\n",
       "          .style(&quot;font-size&quot;, &quot;15&quot;)\n",
       "          .style(&quot;opacity&quot;, &quot;0.6&quot;)\n",
       "\n",
       "          const gChart = svgEl.append(&quot;g&quot;);\n",
       "          gChart\n",
       "          .attr(&quot;transform&quot;, &quot;translate(&quot;+ MARGIN.LEFT +&quot;,0)&quot;)\n",
       "          .selectAll(&quot;.bar&quot;)\n",
       "          .data(histogramData)\n",
       "          .enter()\n",
       "          .append(&quot;rect&quot;)\n",
       "          .style(&quot;stroke&quot;, &quot;#021826&quot;)\n",
       "          .classed(&quot;bar&quot;, true)\n",
       "          .attr(&quot;width&quot;, function(d) { return xScale(histogramData[1]?.axisX)-xScale(histogramData[0]?.axisX); })\n",
       "          .attr(&quot;height&quot;, (d) =&gt; CHART_HEIGHT - yScale(d.axisY))\n",
       "          .attr(&quot;x&quot;, 1)\n",
       "          .attr(&quot;transform&quot;, function(d) { return &quot;translate(&quot; + xScale(d.axisX) + &quot;,&quot; + 0  +  &quot;)&quot;; })\n",
       "          .attr(&quot;y&quot;, (d) =&gt; yScale(d.axisY) + MARGIN.TOP + MARGIN.BOTTOM)\n",
       "          .attr(&quot;fill&quot;, rectColors[0])\n",
       "          .style(&quot;opacity&quot;,&quot;0.6&quot;)\n",
       "\n",
       "          const gChart1 = svgEl.append(&quot;g&quot;);\n",
       "          gChart1\n",
       "          .attr(&quot;transform&quot;, &quot;translate(&quot;+ MARGIN.LEFT +&quot;,0)&quot;)\n",
       "          .selectAll(&quot;.bar&quot;)\n",
       "          .data(overlappedHistogramData)\n",
       "          .enter()\n",
       "          .append(&quot;rect&quot;)\n",
       "          .style(&quot;stroke&quot;, &quot;#021826&quot;)\n",
       "          .classed(&quot;bar&quot;, true)\n",
       "          .attr(&quot;width&quot;, function(d) { return xScale(overlappedHistogramData[1]?.axisX)-xScale(overlappedHistogramData[0]?.axisX); })\n",
       "          .attr(&quot;height&quot;, (d) =&gt; CHART_HEIGHT - yScale(d.axisY))\n",
       "          .attr(&quot;x&quot;, 1)\n",
       "          .attr(&quot;transform&quot;, function(d) { return &quot;translate(&quot; + xScale(d.axisX) + &quot;,&quot; + 0  +  &quot;)&quot;; })\n",
       "          .attr(&quot;y&quot;, (d) =&gt; yScale(d.axisY) + MARGIN.TOP + MARGIN.BOTTOM)\n",
       "          .attr(&quot;fill&quot;, rectColors[1])\n",
       "          .style(&quot;opacity&quot;,&quot;0.6&quot;)\n",
       "\n",
       "        return svgEl._groups[0][0].outerHTML;\n",
       "      }\n",
       "\n",
       "      const profileFromCSVfile = {&quot;alcohol&quot;: {&quot;histogram&quot;: {&quot;start&quot;: 8.4, &quot;end&quot;: 11.0000011, &quot;width&quot;: 0, &quot;counts&quot;: [2, 0, 0, 4, 2, 0, 30, 0, 26, 74, 58, 104, 138, 62, 52, 0, 79, 50, 70, 47, 44, 32, 0, 46, 65, 28, 26, 46, 47, 59], &quot;max&quot;: 11.0, &quot;min&quot;: 8.4, &quot;bins&quot;: [8.4, 8.486666703333334, 8.573333406666666, 8.66000011, 8.746666813333334, 8.833333516666666, 8.92000022, 9.006666923333334, 9.093333626666666, 9.18000033, 9.266667033333334, 9.353333736666666, 9.44000044, 9.526667143333334, 9.613333846666666, 9.70000055, 9.786667253333334, 9.873333956666666, 9.96000066, 10.046667363333334, 10.133334066666666, 10.22000077, 10.306667473333334, 10.393334176666666, 10.48000088, 10.566667583333334, 10.653334286666666, 10.74000099, 10.826667693333334, 10.913334396666666, 11.0000011], &quot;n&quot;: 1191}}}\n",
       "\n",
       "      Handlebars.registerHelper(&quot;getDoubleHistogramChart&quot;,(column,key) =&gt; {\n",
       "          const columnKey = key.data.key\n",
       "        try {\n",
       "          if (profileFromCSVfile) {\n",
       "          return  generateDoubleHistogramChart (\n",
       "              column,\n",
       "              profileFromCSVfile[columnKey]\n",
       "            )\n",
       "          }\n",
       "        } catch (err) {\n",
       "          $(document).ready(() =&gt;\n",
       "            $(&quot;.desktop-content&quot;).html(`\n",
       "              &lt;p style=&quot;height: ${$(window).height()}px&quot; class=&quot;error-message&quot;&gt;\n",
       "                Something went wrong. Please try again.\n",
       "              &lt;/p&gt;\n",
       "            `)\n",
       "          )\n",
       "        }\n",
       "      });\n",
       "    }\n",
       "\n",
       "    function initWebsiteScripts() {\n",
       "      $(&quot;.svg-container&quot;).css(&quot;height&quot;, $(window).height() - 32)\n",
       "    }\n",
       "\n",
       "    function initHandlebarsTemplate() {\n",
       "      // Replace this context with JSON from .py file\n",
       "      const context = {&quot;alcohol&quot;: {&quot;histogram&quot;: {&quot;start&quot;: 11.0666666666667, &quot;end&quot;: 14.900001490000001, &quot;width&quot;: 0, &quot;counts&quot;: [28, 68, 32, 30, 39, 28, 21, 22, 24, 13, 13, 27, 9, 17, 8, 8, 2, 2, 4, 5, 0, 0, 8, 0, 0, 0, 0, 0, 0, 0], &quot;max&quot;: 14.9, &quot;min&quot;: 11.0666666666667, &quot;bins&quot;: [11.0666666666667, 11.194444494111144, 11.322222321555587, 11.45000014900003, 11.577777976444473, 11.705555803888917, 11.83333363133336, 11.961111458777804, 12.088889286222248, 12.216667113666691, 12.344444941111133, 12.472222768555577, 12.60000059600002, 12.727778423444464, 12.855556250888908, 12.98333407833335, 13.111111905777793, 13.238889733222237, 13.36666756066668, 13.494445388111124, 13.622223215555568, 13.750001043000012, 13.877778870444454, 14.005556697888897, 14.133334525333341, 14.261112352777785, 14.388890180222226, 14.51666800766667, 14.644445835111114, 14.772223662555557, 14.900001490000001], &quot;n&quot;: 408}}};\n",
       "      // Config handlebars and pass data to HBS template\n",
       "      const source = document.getElementById(&quot;entry-template&quot;).innerHTML;\n",
       "      const template = Handlebars.compile(source);\n",
       "      const html = template(context);\n",
       "      const target = document.getElementById(&quot;generated-html&quot;);\n",
       "      target.innerHTML = html;\n",
       "    }\n",
       "\n",
       "    // Invoke functions -- keep in mind invokation order\n",
       "    registerHandlebarHelperFunctions();\n",
       "    initHandlebarsTemplate();\n",
       "    initWebsiteScripts();\n",
       "  &lt;/script&gt;\n",
       "&lt;/html&gt;\n",
       "\" width=100% height=300px\n",
       "        frameBorder=0></iframe>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "visualization.double_histogram(feature_name=\"alcohol\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In addition to the histograms, we can also plot distribution charts for categorical variables, like the `quality` feature."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div></div><iframe srcdoc=\"&lt;!DOCTYPE html&gt;\n",
       "&lt;html lang=&quot;en&quot;&gt;\n",
       "  &lt;head&gt;\n",
       "    &lt;meta charset=&quot;UTF-8&quot; /&gt;\n",
       "    &lt;meta http-equiv=&quot;X-UA-Compatible&quot; content=&quot;IE=edge&quot; /&gt;\n",
       "    &lt;meta name=&quot;viewport&quot; content=&quot;width=device-width, initial-scale=1.0&quot; /&gt;\n",
       "    &lt;meta name=&quot;description&quot; content=&quot;&quot; /&gt;\n",
       "    &lt;meta name=&quot;author&quot; content=&quot;&quot; /&gt;\n",
       "\n",
       "    &lt;title&gt;Profile Visualizer | whylogs&lt;/title&gt;\n",
       "\n",
       "    &lt;link rel=&quot;icon&quot; href=&quot;images/whylabs-favicon.png&quot; type=&quot;image/png&quot; sizes=&quot;16x16&quot; /&gt;\n",
       "    &lt;link rel=&quot;preconnect&quot; href=&quot;https://fonts.googleapis.com&quot; /&gt;\n",
       "    &lt;link rel=&quot;preconnect&quot; href=&quot;https://fonts.gstatic.com&quot; crossorigin /&gt;\n",
       "    &lt;link href=&quot;https://fonts.googleapis.com/css2?family=Asap:wght@400;500;600;700&amp;display=swap&quot; rel=&quot;stylesheet&quot; /&gt;\n",
       "    &lt;link rel=&quot;preconnect&quot; href=&quot;https://fonts.gstatic.com&quot; /&gt;\n",
       "    &lt;link rel=&quot;stylesheet&quot; href=&quot;https://cdn.jsdelivr.net/npm/bootstrap@5.1.0/dist/css/bootstrap.min.css&quot; /&gt;\n",
       "\n",
       "    &lt;script\n",
       "      src=&quot;https://cdnjs.cloudflare.com/ajax/libs/handlebars.js/4.7.7/handlebars.min.js&quot;\n",
       "      integrity=&quot;sha512-RNLkV3d+aLtfcpEyFG8jRbnWHxUqVZozacROI4J2F1sTaDqo1dPQYs01OMi1t1w9Y2FdbSCDSQ2ZVdAC8bzgAg==&quot;\n",
       "      crossorigin=&quot;anonymous&quot;\n",
       "      referrerpolicy=&quot;no-referrer&quot;\n",
       "    &gt;&lt;/script&gt;\n",
       "\n",
       "    &lt;style type=&quot;text/css&quot;&gt;\n",
       "\n",
       "      :root {\n",
       "        /** Branded colors */\n",
       "        --brandSecondary900: #4f595b;\n",
       "        --secondaryLight1000: #313b3d;\n",
       "        /** Purpose colors */\n",
       "        --tealBackground: #eaf2f3;\n",
       "      }\n",
       "\n",
       "      /* RESET STYLE */\n",
       "      *,\n",
       "      *::after,\n",
       "      *::before {\n",
       "        margin: 0;\n",
       "        padding: 0;\n",
       "        box-sizing: border-box;\n",
       "        overflow-y: hidden;\n",
       "      }\n",
       "\n",
       "      /* Screen on smaller screens */\n",
       "      .no-responsive {\n",
       "        display: none;\n",
       "        position: fixed;\n",
       "        top: 0;\n",
       "        left: 0;\n",
       "        z-index: 1031;\n",
       "        width: 100vw;\n",
       "        height: 100vh;\n",
       "        background-color: var(--tealBackground);\n",
       "        display: flex;\n",
       "        align-items: center;\n",
       "        justify-content: center;\n",
       "      }\n",
       "\n",
       "      .desktop-content {\n",
       "        display: flex;\n",
       "        flex-direction: column;\n",
       "      }\n",
       "\n",
       "      .no-responsive__content {\n",
       "        max-width: 600px;\n",
       "        width: 100%;\n",
       "        padding: 0 24px;\n",
       "      }\n",
       "\n",
       "      .no-responsive__title {\n",
       "        font-size: 96px;\n",
       "        font-weight: 300;\n",
       "        color: var(--brandSecondary900);\n",
       "        line-height: 1.167;\n",
       "      }\n",
       "\n",
       "      .no-responsive__text {\n",
       "        margin: 0;\n",
       "        font-size: 16px;\n",
       "        font-weight: 400;\n",
       "        color: var(--brandSecondary900);\n",
       "        line-height: 1.5;\n",
       "      }\n",
       "\n",
       "      .svg-container {\n",
       "        display: inline-block;\n",
       "        position: relative;\n",
       "        width: 100%;\n",
       "        vertical-align: top;\n",
       "        overflow: hidden;\n",
       "      }\n",
       "\n",
       "      .svg-content-responsive {\n",
       "        display: inline-block;\n",
       "        position: absolute;\n",
       "        left: 0;\n",
       "      }\n",
       "\n",
       "      .circle-color {\n",
       "       display: inline-block;\n",
       "       padding: 5px;\n",
       "       border-radius: 50px;\n",
       "     }\n",
       "\n",
       "     .colors-for-distingushing-charts {\n",
       "       padding-right: 10px;\n",
       "     }\n",
       "\n",
       "     .display-flex{\n",
       "       display: flex;\n",
       "     }\n",
       "\n",
       "     .flex-direction-column {\n",
       "       flex-direction: column;\n",
       "     }\n",
       "\n",
       "     .align-items-flex-end {\n",
       "       align-items: flex-end;\n",
       "     }\n",
       "\n",
       "     .chart-box-title {\n",
       "       width: 98%;\n",
       "       justify-content: space-between;\n",
       "       margin: 10px;\n",
       "       margin-top: 15px;\n",
       "       bottom: 0;\n",
       "     }\n",
       "\n",
       "     .chart-box-title p{\n",
       "       margin-bottom: 0;\n",
       "       font-family: Asap;\n",
       "       font-weight: bold;\n",
       "       font-size: 18px;\n",
       "       line-height: 16px;\n",
       "       color: #4F595B;\n",
       "     }\n",
       "\n",
       "     .error-message {\n",
       "       display: flex;\n",
       "       justify-content: center;\n",
       "       align-items: center;\n",
       "       color: rgb(255, 114, 71);\n",
       "       font-size: 30px;\n",
       "       font-weight: 900;\n",
       "     }\n",
       "\n",
       "     @media screen and (min-width: 500px) {\n",
       "       .desktop-content {\n",
       "         display: block;\n",
       "       }\n",
       "       .no-responsive {\n",
       "         display: none;\n",
       "       }\n",
       "     }\n",
       "    &lt;/style&gt;\n",
       "  &lt;/head&gt;\n",
       "\n",
       "  &lt;body id=&quot;generated-html&quot;&gt;&lt;/body&gt;\n",
       "  &lt;script id=&quot;entry-template&quot; type=&quot;text/x-handlebars-template&quot;&gt;\n",
       "    \n",
       "      &lt;div class=&quot;desktop-content&quot;&gt;\n",
       "{{#each this}}              &lt;div class=&quot;chart-box&quot; id=&quot;chart-box&quot;&gt;\n",
       "                &lt;div class=&quot;chart-box-title display-flex&quot;&gt;\n",
       "                  &lt;p&gt;{{@key}}&lt;/p&gt;\n",
       "                  &lt;div class=&quot;display-flex&quot;&gt;\n",
       "                    &lt;div class=&quot;colors-for-distingushing-charts&quot;&gt;\n",
       "                      &lt;div class=&quot;circle-color&quot; style=&quot;background: #44C0E7;&quot;&gt;&lt;/div&gt;\n",
       "                      &lt;text alignment-baseline=&quot;middle&quot; style=&quot;font-size: 15px;&quot;&gt;Target&lt;/text&gt;\n",
       "                    &lt;/div&gt;\n",
       "                    &lt;div class=&quot;colors-for-distingushing-charts&quot;&gt;\n",
       "                      &lt;div class=&quot;circle-color&quot; style=&quot;background: #F5843C&quot;&gt;&lt;/div&gt;\n",
       "                      &lt;text alignment-baseline=&quot;middle&quot; style=&quot;font-size: 15px;&quot;&gt;Reference&lt;/text&gt;\n",
       "                    &lt;/div&gt;\n",
       "                  &lt;/div&gt;&lt;/div&gt;\n",
       "                &lt;div class=&quot;svg-container&quot;&gt;\n",
       "                  {{{getDoubleHistogramChart this}}}\n",
       "                &lt;/div&gt;\n",
       "              &lt;/div&gt;\n",
       "{{/each}}      &lt;/div&gt;\n",
       "      &lt;div class=&quot;no-responsive&quot;&gt;\n",
       "        &lt;div class=&quot;no-responsive__content&quot;&gt;\n",
       "          &lt;h1 class=&quot;no-responsive__title&quot;&gt;Hold on! :)&lt;/h1&gt;\n",
       "          &lt;p class=&quot;no-responsive__text&quot;&gt;\n",
       "            It looks like your current screen size or device is not yet supported by the WhyLabs Sandbox. The Sandbox is\n",
       "            best experienced on a desktop computer. Please try maximizing this window or switching to another device. We\n",
       "            are working on adding support for a larger variety of devices.\n",
       "          &lt;/p&gt;\n",
       "        &lt;/div&gt;\n",
       "      &lt;/div&gt;\n",
       "    \n",
       "  &lt;/script&gt;\n",
       "\n",
       "  &lt;script src=&quot;https://code.jquery.com/jquery-3.6.0.min.js&quot; integrity=&quot;sha256-/xUj+3OJU5yExlq6GSYGSHk7tPXikynS7ogEvDej/m4=&quot; crossorigin=&quot;anonymous&quot;&gt;&lt;/script&gt;\n",
       "\n",
       "  &lt;script src=&quot;https://cdnjs.cloudflare.com/ajax/libs/d3/6.7.0/d3.min.js&quot; integrity=&quot;sha512-cd6CHE+XWDQ33ElJqsi0MdNte3S+bQY819f7p3NUHgwQQLXSKjE4cPZTeGNI+vaxZynk1wVU3hoHmow3m089wA==&quot; crossorigin=&quot;anonymous&quot; referrerpolicy=&quot;no-referrer&quot;&gt;&lt;/script&gt;\n",
       "\n",
       "  &lt;script&gt;\n",
       "   function registerHandlebarHelperFunctions() {\n",
       "\n",
       "    const findAndDeleteUndefined = (axisData) =&gt; {\n",
       "      const undefinedAxisIndex = axisData.findIndex((axis) =&gt; axis === undefined)\n",
       "      if (undefinedAxisIndex == -1) {\n",
       "        return axisData;\n",
       "      }\n",
       "\n",
       "      const result = [...axisData.slice(0, undefinedAxisIndex), ...axisData.slice(undefinedAxisIndex + 1)]\n",
       "      return result\n",
       "    }\n",
       "\n",
       "    const filterAndSortChartData = (overlappedHistogramData, histogramData) =&gt; {\n",
       "        const filteredData = overlappedHistogramData\n",
       "          .map((d) =&gt;\n",
       "            histogramData\n",
       "            .filter((ref) =&gt; d.axisX === ref.axisX )[0])\n",
       "            .sort((a, b) =&gt; {\n",
       "              if (+a.axisY &lt; +b.axisY) {\n",
       "                return 1;\n",
       "              }\n",
       "              if (+a.axisY &gt; +b.axisY) {\n",
       "                return -1;\n",
       "              }\n",
       "\n",
       "              return 0;\n",
       "            })\n",
       "            .slice(0, 20)\n",
       "\n",
       "        return findAndDeleteUndefined(filteredData)\n",
       "      }\n",
       "\n",
       "      class GenerateChartParams {\n",
       "        constructor(height, width, data, referenceData, bottomMargin=30, topMargin=5) {\n",
       "          this.MARGIN = {\n",
       "            TOP: topMargin,\n",
       "            RIGHT: 5,\n",
       "            BOTTOM: bottomMargin,\n",
       "            LEFT: 55,\n",
       "          };\n",
       "          this.SVG_WIDTH = width;\n",
       "          this.SVG_HEIGHT = height;\n",
       "          this.CHART_WIDTH = this.SVG_WIDTH - this.MARGIN.LEFT - this.MARGIN.RIGHT;\n",
       "          this.CHART_HEIGHT = this.SVG_HEIGHT - this.MARGIN.TOP - this.MARGIN.BOTTOM;\n",
       "          this.svgEl = d3.create(&quot;svg&quot;)\n",
       "             .attr(&quot;preserveAspectRatio&quot;, &quot;xMinYMin meet&quot;)\n",
       "             .attr(&quot;viewBox&quot;, `0 0 ${$(window).width()} ${$(window).height()-30}`)\n",
       "             .classed(&quot;svg-content-responsive&quot;, true)\n",
       "          this.maxYValue = d3.max([...data, ...referenceData], (d) =&gt; Math.abs(d.axisY));\n",
       "          this.xScale = d3\n",
       "            .scaleBand()\n",
       "            .domain(filterAndSortChartData(data, referenceData).map((sortedCounts) =&gt; sortedCounts?.axisX))\n",
       "            .range([this.MARGIN.LEFT, this.MARGIN.LEFT + this.CHART_WIDTH]);\n",
       "          this.yScale = d3\n",
       "            .scaleLinear()\n",
       "            .domain([0, this.maxYValue * 1.2])\n",
       "            .range([this.CHART_HEIGHT, 0]);\n",
       "        }\n",
       "      }\n",
       "\n",
       "      function chartData(column) {\n",
       "        const data = [];\n",
       "          if (column.frequentItems) {\n",
       "            Object.entries(column.frequentItems).forEach(([key, {value, estimate}], index) =&gt; {\n",
       "              data.push({\n",
       "                axisY: estimate,\n",
       "                axisX: value,\n",
       "              });\n",
       "            });\n",
       "          } else {\n",
       "            $(document).ready(() =&gt;\n",
       "              $(&quot;.desktop-content&quot;).html(`\n",
       "                &lt;p style=&quot;height: ${$(window).height()}px&quot; class=&quot;error-message&quot;&gt;\n",
       "                  Something went wrong. Please try again.\n",
       "                &lt;/p&gt;\n",
       "              `)\n",
       "            )\n",
       "          }\n",
       "\n",
       "        return data\n",
       "      }\n",
       "\n",
       "      function generateBarChart(histogramData, overlappedHistogramData) {\n",
       "        let yFormat,\n",
       "            xFormat;\n",
       "        const data = filterAndSortChartData(chartData(histogramData), chartData(overlappedHistogramData)).map((axis, index) =&gt; {\n",
       "          if (axis) {\n",
       "            const findIndex = chartData(histogramData).findIndex((value) =&gt; value.axisX === axis.axisX)\n",
       "            return {\n",
       "              group: axis.axisX,\n",
       "              profile: axis.axisY,\n",
       "              reference_profile: chartData(histogramData)[findIndex].axisY\n",
       "            }\n",
       "          }\n",
       "          return 0;\n",
       "        })\n",
       "\n",
       "        const sizes = new GenerateChartParams($(window).height()-60, $(window).width(), chartData(histogramData), chartData(overlappedHistogramData))\n",
       "        let {\n",
       "          MARGIN,\n",
       "          SVG_WIDTH,\n",
       "          SVG_HEIGHT,\n",
       "          CHART_WIDTH,\n",
       "          CHART_HEIGHT,\n",
       "          svgEl,\n",
       "          xScale,\n",
       "          yScale\n",
       "        } = sizes\n",
       "\n",
       "        const rectColors = [&quot;#44C0E7&quot;, &quot;#F5843C&quot;]\n",
       "        const subgroups = [&#x27;reference_profile&#x27;, &#x27;profile&#x27;]\n",
       "\n",
       "        xScale.padding([0.3])\n",
       "\n",
       "        const xAxis = d3.axisBottom(xScale).ticks(SVG_WIDTH / 80, xFormat).tickSizeOuter(0);\n",
       "        const yAxis = d3.axisLeft(yScale).ticks(SVG_HEIGHT / 40, yFormat);\n",
       "        yFormat = yScale.tickFormat(100, yFormat);\n",
       "\n",
       "        svgEl.append(&quot;g&quot;)\n",
       "          .attr(&quot;transform&quot;, `translate(${MARGIN.LEFT}, 0)`)\n",
       "          .attr(&quot;id&quot;, &quot;g1&quot;)\n",
       "          .call(yAxis)\n",
       "          .call(g =&gt; g.select(&quot;.domain&quot;).remove())\n",
       "          .call(g =&gt; g.selectAll(&quot;.tick line&quot;)\n",
       "              .attr(&quot;x2&quot;, CHART_WIDTH)\n",
       "              .attr(&quot;stroke-opacity&quot;, 0.1))\n",
       "          .call(g =&gt; g.append(&quot;text&quot;)\n",
       "              .attr(&quot;x&quot;, -MARGIN.LEFT)\n",
       "              .attr(&quot;y&quot;, 10)\n",
       "              .attr(&quot;fill&quot;, &quot;currentColor&quot;)\n",
       "              .attr(&quot;text-anchor&quot;, &quot;start&quot;));\n",
       "\n",
       "        svgEl.append(&quot;text&quot;)\n",
       "          .attr(&quot;transform&quot;,\n",
       "                &quot;translate(&quot; + (CHART_WIDTH/2) + &quot; ,&quot; +\n",
       "                               (CHART_HEIGHT + MARGIN.TOP + 40) + &quot;)&quot;)\n",
       "          .style(&quot;text-anchor&quot;, &quot;middle&quot;)\n",
       "          .text(&quot;Values&quot;)\n",
       "          .style(&quot;font-size&quot;, &quot;15&quot;)\n",
       "          .style(&quot;opacity&quot;, &quot;0.6&quot;)\n",
       "\n",
       "        svgEl.append(&quot;text&quot;)\n",
       "          .attr(&quot;transform&quot;, &quot;rotate(-90)&quot;)\n",
       "          .attr(&quot;y&quot;, 0)\n",
       "          .attr(&quot;x&quot;, 0 - (SVG_HEIGHT / 2))\n",
       "          .attr(&quot;dy&quot;, &quot;1em&quot;)\n",
       "          .style(&quot;text-anchor&quot;, &quot;middle&quot;)\n",
       "          .text(&quot;Counts&quot;)\n",
       "          .style(&quot;font-size&quot;, &quot;15&quot;)\n",
       "          .style(&quot;opacity&quot;, &quot;0.6&quot;)\n",
       "\n",
       "        svgEl.append(&quot;g&quot;)\n",
       "            .attr(&quot;transform&quot;, `translate(0,${SVG_HEIGHT - MARGIN.BOTTOM})`)\n",
       "            .attr(&quot;id&quot;, &quot;g2&quot;)\n",
       "            .call(xAxis)\n",
       "            .call(g =&gt; g.select(&quot;.domain&quot;).remove())\n",
       "            .call(g =&gt; g.selectAll(&quot;.tick line&quot;).remove())\n",
       "            .call(g =&gt; g.append(&quot;text&quot;)\n",
       "                .attr(&quot;x&quot;, SVG_WIDTH - MARGIN.RIGHT)\n",
       "                .attr(&quot;y&quot;, 27)\n",
       "                .attr(&quot;fill&quot;, &quot;currentColor&quot;)\n",
       "                .attr(&quot;text-anchor&quot;, &quot;end&quot;));\n",
       "\n",
       "        const xSubgroup = d3.scaleBand()\n",
       "          .domain(subgroups)\n",
       "          .range([0, xScale.bandwidth()])\n",
       "\n",
       "        const color = d3.scaleOrdinal()\n",
       "          .domain(subgroups)\n",
       "          .range(rectColors)\n",
       "\n",
       "        svgEl.append(&quot;g&quot;)\n",
       "           .attr(&quot;id&quot;, &quot;g3&quot;)\n",
       "           .selectAll(&quot;g&quot;)\n",
       "           .data(data)\n",
       "           .enter()\n",
       "           .append(&quot;g&quot;)\n",
       "             .attr(&quot;transform&quot;, function(d) { return &quot;translate(&quot; + xScale(d?.group) + &quot;,0)&quot;; })\n",
       "             .attr(&quot;id&quot;, &quot;g4&quot;)\n",
       "           .selectAll(&quot;rect&quot;)\n",
       "           .data(function(d) { return subgroups.map(function(key) { return {key: key, value: d &amp;&amp; d[key]}; }); })\n",
       "           .enter().append(&quot;rect&quot;)\n",
       "             .attr(&quot;x&quot;, function(d) { return xSubgroup(d.key); })\n",
       "             .attr(&quot;y&quot;, function(d) { return yScale(d.value); })\n",
       "             .attr(&quot;width&quot;, xSubgroup.bandwidth())\n",
       "             .attr(&quot;height&quot;, function(d) { return (CHART_HEIGHT - yScale(d.value)); })\n",
       "             .attr(&quot;fill&quot;, function(d) { return color(d.key); })\n",
       "             .style(&quot;opacity&quot;, &quot;0.8&quot;);\n",
       "\n",
       "\n",
       "         return svgEl._groups[0][0].outerHTML;\n",
       "      }\n",
       "\n",
       "\n",
       "      const profileFromCSVfile = {&quot;quality&quot;: {&quot;frequentItems&quot;: [{&quot;value&quot;: &quot;bad&quot;, &quot;estimate&quot;: 1115}, {&quot;value&quot;: &quot;good&quot;, &quot;estimate&quot;: 76}]}}\n",
       "\n",
       "      Handlebars.registerHelper(&quot;getDoubleHistogramChart&quot;,(column,key) =&gt; {\n",
       "        const columnKey = key.data.key\n",
       "        try {\n",
       "          if (profileFromCSVfile) {\n",
       "            return generateBarChart(\n",
       "                     column,\n",
       "                     profileFromCSVfile[columnKey]\n",
       "                   )\n",
       "          }\n",
       "        } catch (err) {\n",
       "          $(document).ready(() =&gt;\n",
       "            $(&quot;.desktop-content&quot;).html(`\n",
       "              &lt;p style=&quot;height: ${$(window).height()}px&quot; class=&quot;error-message&quot;&gt;\n",
       "                Something went wrong. Please try again.\n",
       "              &lt;/p&gt;\n",
       "            `)\n",
       "          )\n",
       "        }\n",
       "      });\n",
       "    }\n",
       "\n",
       "    function initWebsiteScripts() {\n",
       "      $(&quot;.svg-container&quot;).css(&quot;height&quot;, $(window).height() - 32)\n",
       "    }\n",
       "\n",
       "    function initHandlebarsTemplate() {\n",
       "      // Replace this context with JSON from .py file\n",
       "      const context = {&quot;quality&quot;: {&quot;frequentItems&quot;: [{&quot;value&quot;: &quot;bad&quot;, &quot;estimate&quot;: 267}, {&quot;value&quot;: &quot;good&quot;, &quot;estimate&quot;: 141}]}};\n",
       "      // Config handlebars and pass data to HBS template\n",
       "      const source = document.getElementById(&quot;entry-template&quot;).innerHTML;\n",
       "      const template = Handlebars.compile(source);\n",
       "      const html = template(context);\n",
       "      const target = document.getElementById(&quot;generated-html&quot;);\n",
       "      target.innerHTML = html;\n",
       "    }\n",
       "\n",
       "    // Invoke functions -- keep in mind invokation order\n",
       "    registerHandlebarHelperFunctions();\n",
       "    initHandlebarsTemplate();\n",
       "    initWebsiteScripts();\n",
       "  &lt;/script&gt;\n",
       "&lt;/html&gt;\n",
       "\" width=100% height=277px\n",
       "        frameBorder=0></iframe>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "visualization.distribution_chart(feature_name=\"quality\")\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can also look at the difference between distributions:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div></div><iframe srcdoc=\"&lt;!DOCTYPE html&gt;\n",
       "&lt;html lang=&quot;en&quot;&gt;\n",
       "  &lt;head&gt;\n",
       "    &lt;meta charset=&quot;UTF-8&quot; /&gt;\n",
       "    &lt;meta http-equiv=&quot;X-UA-Compatible&quot; content=&quot;IE=edge&quot; /&gt;\n",
       "    &lt;meta name=&quot;viewport&quot; content=&quot;width=device-width, initial-scale=1.0&quot; /&gt;\n",
       "    &lt;meta name=&quot;description&quot; content=&quot;&quot; /&gt;\n",
       "    &lt;meta name=&quot;author&quot; content=&quot;&quot; /&gt;\n",
       "\n",
       "    &lt;title&gt;Profile Visualizer | whylogs&lt;/title&gt;\n",
       "\n",
       "    &lt;link rel=&quot;icon&quot; href=&quot;images/whylabs-favicon.png&quot; type=&quot;image/png&quot; sizes=&quot;16x16&quot; /&gt;\n",
       "    &lt;link rel=&quot;preconnect&quot; href=&quot;https://fonts.googleapis.com&quot; /&gt;\n",
       "    &lt;link rel=&quot;preconnect&quot; href=&quot;https://fonts.gstatic.com&quot; crossorigin /&gt;\n",
       "    &lt;link href=&quot;https://fonts.googleapis.com/css2?family=Asap:wght@400;500;600;700&amp;display=swap&quot; rel=&quot;stylesheet&quot; /&gt;\n",
       "    &lt;link rel=&quot;preconnect&quot; href=&quot;https://fonts.gstatic.com&quot; /&gt;\n",
       "    &lt;link rel=&quot;stylesheet&quot; href=&quot;https://cdn.jsdelivr.net/npm/bootstrap@5.1.0/dist/css/bootstrap.min.css&quot; /&gt;\n",
       "\n",
       "    &lt;script\n",
       "      src=&quot;https://cdnjs.cloudflare.com/ajax/libs/handlebars.js/4.7.7/handlebars.min.js&quot;\n",
       "      integrity=&quot;sha512-RNLkV3d+aLtfcpEyFG8jRbnWHxUqVZozacROI4J2F1sTaDqo1dPQYs01OMi1t1w9Y2FdbSCDSQ2ZVdAC8bzgAg==&quot;\n",
       "      crossorigin=&quot;anonymous&quot;\n",
       "      referrerpolicy=&quot;no-referrer&quot;\n",
       "    &gt;&lt;/script&gt;\n",
       "\n",
       "    &lt;style type=&quot;text/css&quot;&gt;\n",
       "\n",
       "      :root {\n",
       "        /** Branded colors */\n",
       "        --brandSecondary900: #4f595b;\n",
       "        --secondaryLight1000: #313b3d;\n",
       "        /** Purpose colors */\n",
       "        --tealBackground: #eaf2f3;\n",
       "      }\n",
       "\n",
       "      /* RESET STYLE */\n",
       "      *,\n",
       "      *::after,\n",
       "      *::before {\n",
       "        margin: 0;\n",
       "        padding: 0;\n",
       "        box-sizing: border-box;\n",
       "        overflow-y: hidden;\n",
       "      }\n",
       "\n",
       "      /* Screen on smaller screens */\n",
       "      .no-responsive {\n",
       "        display: none;\n",
       "        position: fixed;\n",
       "        top: 0;\n",
       "        left: 0;\n",
       "        z-index: 1031;\n",
       "        width: 100vw;\n",
       "        height: 100vh;\n",
       "        background-color: var(--tealBackground);\n",
       "        display: flex;\n",
       "        align-items: center;\n",
       "        justify-content: center;\n",
       "      }\n",
       "\n",
       "      .desktop-content {\n",
       "        display: flex;\n",
       "        flex-direction: column;\n",
       "      }\n",
       "\n",
       "      .no-responsive__content {\n",
       "        max-width: 600px;\n",
       "        width: 100%;\n",
       "        padding: 0 24px;\n",
       "      }\n",
       "\n",
       "      .no-responsive__title {\n",
       "        font-size: 96px;\n",
       "        font-weight: 300;\n",
       "        color: var(--brandSecondary900);\n",
       "        line-height: 1.167;\n",
       "      }\n",
       "\n",
       "      .no-responsive__text {\n",
       "        margin: 0;\n",
       "        font-size: 16px;\n",
       "        font-weight: 400;\n",
       "        color: var(--brandSecondary900);\n",
       "        line-height: 1.5;\n",
       "      }\n",
       "\n",
       "      .svg-container {\n",
       "        display: inline-block;\n",
       "        position: relative;\n",
       "        width: 100%;\n",
       "        vertical-align: top;\n",
       "        overflow: hidden;\n",
       "      }\n",
       "\n",
       "      .svg-content-responsive {\n",
       "        display: inline-block;\n",
       "        position: absolute;\n",
       "        left: 0;\n",
       "      }\n",
       "\n",
       "      .circle-color {\n",
       "       display: inline-block;\n",
       "       padding: 5px;\n",
       "       border-radius: 50px;\n",
       "     }\n",
       "\n",
       "     .colors-for-distingushing-charts {\n",
       "       padding-right: 10px;\n",
       "     }\n",
       "\n",
       "     .display-flex{\n",
       "       display: flex;\n",
       "     }\n",
       "\n",
       "     .flex-direction-column {\n",
       "       flex-direction: column;\n",
       "     }\n",
       "\n",
       "     .align-items-flex-end {\n",
       "       align-items: flex-end;\n",
       "     }\n",
       "\n",
       "     .chart-box-title {\n",
       "       width: 98%;\n",
       "       justify-content: space-between;\n",
       "       margin: 10px;\n",
       "       margin-top: 15px;\n",
       "       bottom: 0;\n",
       "     }\n",
       "\n",
       "     .chart-box-title p{\n",
       "       margin-bottom: 0;\n",
       "       font-family: Asap;\n",
       "       font-weight: bold;\n",
       "       font-size: 18px;\n",
       "       line-height: 16px;\n",
       "       color: #4F595B;\n",
       "     }\n",
       "\n",
       "     .bar.positive {\n",
       "       fill: #44C0E7;\n",
       "     }\n",
       "\n",
       "     .bar.negative {\n",
       "       fill: #F5843C;\n",
       "     }\n",
       "\n",
       "     .error-message {\n",
       "       display: flex;\n",
       "       justify-content: center;\n",
       "       align-items: center;\n",
       "       color: rgb(255, 114, 71);\n",
       "       font-size: 30px;\n",
       "       font-weight: 900;\n",
       "     }\n",
       "\n",
       "     @media screen and (min-width: 500px) {\n",
       "       .desktop-content {\n",
       "         display: block;\n",
       "       }\n",
       "       .no-responsive {\n",
       "         display: none;\n",
       "       }\n",
       "     }\n",
       "    &lt;/style&gt;\n",
       "  &lt;/head&gt;\n",
       "\n",
       "  &lt;body id=&quot;generated-html&quot;&gt;&lt;/body&gt;\n",
       "  &lt;script id=&quot;entry-template&quot; type=&quot;text/x-handlebars-template&quot;&gt;\n",
       "    \n",
       "      &lt;div class=&quot;desktop-content&quot;&gt;\n",
       "{{#each this}}              &lt;div class=&quot;chart-box&quot; id=&quot;chart-box&quot;&gt;\n",
       "                &lt;div class=&quot;chart-box-title display-flex&quot;&gt;\n",
       "                  &lt;p&gt;{{@key}}&lt;/p&gt;\n",
       "                  &lt;div class=&quot;display-flex&quot;&gt;\n",
       "                    &lt;div class=&quot;colors-for-distingushing-charts&quot;&gt;\n",
       "                      &lt;div class=&quot;circle-color&quot; style=&quot;background: #44C0E7;&quot;&gt;&lt;/div&gt;\n",
       "                      &lt;text alignment-baseline=&quot;middle&quot; style=&quot;font-size: 15px;&quot;&gt;Target&lt;/text&gt;\n",
       "                    &lt;/div&gt;\n",
       "                    &lt;div class=&quot;colors-for-distingushing-charts&quot;&gt;\n",
       "                      &lt;div class=&quot;circle-color&quot; style=&quot;background: #F5843C&quot;&gt;&lt;/div&gt;\n",
       "                      &lt;text alignment-baseline=&quot;middle&quot; style=&quot;font-size: 15px;&quot;&gt;Reference&lt;/text&gt;\n",
       "                    &lt;/div&gt;\n",
       "                  &lt;/div&gt;&lt;/div&gt;\n",
       "                &lt;div class=&quot;svg-container&quot;&gt;\n",
       "                  {{{getDoubleHistogramChart this}}}\n",
       "                &lt;/div&gt;\n",
       "              &lt;/div&gt;\n",
       "{{/each}}      &lt;/div&gt;\n",
       "      &lt;div class=&quot;no-responsive&quot;&gt;\n",
       "        &lt;div class=&quot;no-responsive__content&quot;&gt;\n",
       "          &lt;h1 class=&quot;no-responsive__title&quot;&gt;Hold on! :)&lt;/h1&gt;\n",
       "          &lt;p class=&quot;no-responsive__text&quot;&gt;\n",
       "            It looks like your current screen size or device is not yet supported by the WhyLabs Sandbox. The Sandbox is\n",
       "            best experienced on a desktop computer. Please try maximizing this window or switching to another device. We\n",
       "            are working on adding support for a larger variety of devices.\n",
       "          &lt;/p&gt;\n",
       "        &lt;/div&gt;\n",
       "      &lt;/div&gt;\n",
       "    \n",
       "  &lt;/script&gt;\n",
       "\n",
       "  &lt;script src=&quot;https://code.jquery.com/jquery-3.6.0.min.js&quot; integrity=&quot;sha256-/xUj+3OJU5yExlq6GSYGSHk7tPXikynS7ogEvDej/m4=&quot; crossorigin=&quot;anonymous&quot;&gt;&lt;/script&gt;\n",
       "\n",
       "  &lt;script src=&quot;https://cdnjs.cloudflare.com/ajax/libs/d3/6.7.0/d3.min.js&quot; integrity=&quot;sha512-cd6CHE+XWDQ33ElJqsi0MdNte3S+bQY819f7p3NUHgwQQLXSKjE4cPZTeGNI+vaxZynk1wVU3hoHmow3m089wA==&quot; crossorigin=&quot;anonymous&quot; referrerpolicy=&quot;no-referrer&quot;&gt;&lt;/script&gt;\n",
       "\n",
       "  &lt;script&gt;\n",
       "    function registerHandlebarHelperFunctions() {\n",
       "      //helper fun\n",
       "\n",
       "      const findAndDeleteUndefined = (axisData) =&gt; {\n",
       "        const undefinedAxisIndex = axisData.findIndex((axis) =&gt; axis === undefined)\n",
       "        if (undefinedAxisIndex &gt; 0) {\n",
       "          return [...axisData.slice(0, undefinedAxisIndex), ...axisData.slice(undefinedAxisIndex + 1)]\n",
       "        }\n",
       "        return axisData\n",
       "      }\n",
       "\n",
       "      const filterAndSortChartData = (overlappedHistogramData, histogramData) =&gt; {\n",
       "        const filteredData = overlappedHistogramData\n",
       "          .map((d) =&gt;\n",
       "            histogramData\n",
       "            .filter((ref) =&gt; d.axisX === ref.axisX )[0])\n",
       "            .sort((a, b) =&gt; {\n",
       "              if (+a.axisY &lt; +b.axisY) {\n",
       "                return 1;\n",
       "              }\n",
       "              if (+a.axisY &gt; +b.axisY) {\n",
       "                return -1;\n",
       "              }\n",
       "\n",
       "              return 0;\n",
       "            })\n",
       "            .slice(0, 20)\n",
       "\n",
       "        return findAndDeleteUndefined(filteredData)\n",
       "      }\n",
       "\n",
       "      class GenerateChartParams {\n",
       "        constructor(height, width, data, referenceData, bottomMargin=30, topMargin=5) {\n",
       "          this.MARGIN = {\n",
       "            TOP: topMargin,\n",
       "            RIGHT: 5,\n",
       "            BOTTOM: bottomMargin,\n",
       "            LEFT: 55,\n",
       "          };\n",
       "          this.SVG_WIDTH = width;\n",
       "          this.SVG_HEIGHT = height;\n",
       "          this.CHART_WIDTH = this.SVG_WIDTH - this.MARGIN.LEFT - this.MARGIN.RIGHT;\n",
       "          this.CHART_HEIGHT = this.SVG_HEIGHT - this.MARGIN.TOP - this.MARGIN.BOTTOM;\n",
       "          this.svgEl = d3.create(&quot;svg&quot;)\n",
       "             .attr(&quot;preserveAspectRatio&quot;, &quot;xMinYMin meet&quot;)\n",
       "             .attr(&quot;viewBox&quot;, `0 -10 ${$(window).width()} ${$(window).height()-30}`)\n",
       "             .classed(&quot;svg-content-responsive&quot;, true)\n",
       "          this.maxYValue = d3.max(data, (d) =&gt; Math.abs(d.axisY));\n",
       "          this.xScale = d3\n",
       "            .scaleBand()\n",
       "            .domain(filterAndSortChartData(data, referenceData).map((sortedCounts) =&gt; sortedCounts &amp;&amp; sortedCounts.axisX))\n",
       "            .rangeRound([this.MARGIN.LEFT, this.SVG_WIDTH])\n",
       "            .padding([0.1]);\n",
       "          this.yScale = d3\n",
       "            .scaleLinear()\n",
       "            .domain([0, this.maxYValue])\n",
       "            .range([this.CHART_HEIGHT, 0]);\n",
       "        }\n",
       "      }\n",
       "\n",
       "      function chartData(column) {\n",
       "        const data = [];\n",
       "          if (column.frequentItems) {\n",
       "            Object.entries(column.frequentItems).forEach(([key, {value, estimate}], index) =&gt; {\n",
       "              data.push({\n",
       "                axisY: estimate,\n",
       "                axisX: value,\n",
       "              });\n",
       "            });\n",
       "          } else {\n",
       "            $(document).ready(() =&gt;\n",
       "              $(&quot;.desktop-content&quot;).html(`\n",
       "                &lt;p style=&quot;height: ${$(window).height()}px&quot; class=&quot;error-message&quot;&gt;\n",
       "                  Something went wrong. Please try again.\n",
       "                &lt;/p&gt;\n",
       "              `)\n",
       "            )\n",
       "          }\n",
       "\n",
       "        return data\n",
       "      }\n",
       "\n",
       "      function generatePositiveNegativeChart(histogramData, overlappedHistogramData) {\n",
       "          const data = filterAndSortChartData(chartData(histogramData), chartData(overlappedHistogramData)).map((axis, index) =&gt; {\n",
       "            if (axis) {\n",
       "              const findIndex = chartData(histogramData).findIndex((value) =&gt; value.axisX === axis.axisX)\n",
       "              const difference = axis.axisY - chartData(histogramData)[findIndex].axisY\n",
       "              return [difference]\n",
       "            }\n",
       "            return 0;\n",
       "          }).flat()\n",
       "\n",
       "        let yFormat,\n",
       "            xFormat;\n",
       "\n",
       "        const sizes = new GenerateChartParams($(window).height()-60, $(window).width(), chartData(histogramData), chartData(overlappedHistogramData))\n",
       "        let {\n",
       "         MARGIN,\n",
       "         SVG_WIDTH,\n",
       "         SVG_HEIGHT,\n",
       "         CHART_WIDTH,\n",
       "         CHART_HEIGHT,\n",
       "         xScale,\n",
       "         svgEl\n",
       "        } = sizes\n",
       "\n",
       "        const rectColors = [&quot;bar positive&quot;, &quot;bar negative&quot;]\n",
       "        const maxY = Math.abs(d3.max(data));\n",
       "        const minY = Math.abs(d3.min(data));\n",
       "        let positiveY = Math.ceil(maxY) % 1 ? maxY + 2*(maxY/(maxY*10)) : maxY + 2*(maxY/(maxY/10)),\n",
       "            negativeY = Math.ceil(minY) % 1 ? minY + 2*(minY/(minY*10)) : minY + 2*(minY/(minY/10));\n",
       "\n",
       "        const yScale = d3.scaleLinear()\n",
       "            .domain([-negativeY, positiveY || 0])\n",
       "            .range([CHART_HEIGHT,0])\n",
       "\n",
       "        const xAxis = d3.axisBottom(xScale).ticks(SVG_WIDTH / 80, xFormat).tickSizeOuter(0);\n",
       "        const yAxis = d3.axisLeft(yScale).ticks(CHART_HEIGHT / 30, yFormat);\n",
       "        yFormat = yScale.tickFormat(100, yFormat);\n",
       "\n",
       "          svgEl.append(&quot;g&quot;)\n",
       "          .attr(&quot;transform&quot;, `translate(${MARGIN.LEFT}, 0)`)\n",
       "          .call(yAxis)\n",
       "          .call(g =&gt; g.select(&quot;.domain&quot;).remove())\n",
       "          .call(g =&gt; g.selectAll(&quot;.tick line&quot;)\n",
       "          .attr(&quot;x2&quot;, CHART_WIDTH )\n",
       "          .attr(&quot;stroke-opacity&quot;, 0.1))\n",
       "          .call(g =&gt; g.append(&quot;text&quot;)\n",
       "          .attr(&quot;x&quot;, - MARGIN.LEFT)\n",
       "          .attr(&quot;y&quot;, 10)\n",
       "          .attr(&quot;fill&quot;, &quot;currentColor&quot;)\n",
       "          .attr(&quot;text-anchor&quot;, &quot;start&quot;));\n",
       "\n",
       "          svgEl.append(&quot;text&quot;)\n",
       "          .attr(&quot;transform&quot;,\n",
       "                &quot;translate(&quot; + (CHART_WIDTH/2) + &quot; ,&quot; +\n",
       "                               (CHART_HEIGHT + MARGIN.TOP + 30) + &quot;)&quot;)\n",
       "          .style(&quot;text-anchor&quot;, &quot;middle&quot;)\n",
       "          .text(&quot;Values&quot;)\n",
       "          .style(&quot;font-size&quot;, &quot;15&quot;)\n",
       "          .style(&quot;opacity&quot;, &quot;0.6&quot;)\n",
       "\n",
       "        svgEl.append(&quot;text&quot;)\n",
       "          .attr(&quot;transform&quot;, &quot;rotate(-90)&quot;)\n",
       "          .attr(&quot;y&quot;, 0)\n",
       "          .attr(&quot;x&quot;, 0 - (SVG_HEIGHT / 2))\n",
       "          .attr(&quot;dy&quot;, &quot;1em&quot;)\n",
       "          .style(&quot;text-anchor&quot;, &quot;middle&quot;)\n",
       "          .text(&quot;Counts&quot;)\n",
       "          .style(&quot;font-size&quot;, &quot;15&quot;)\n",
       "          .style(&quot;opacity&quot;, &quot;0.6&quot;)\n",
       "\n",
       "          svgEl\n",
       "          .append(&quot;g&quot;)\n",
       "          .attr(&quot;transform&quot;, `translate(0,${SVG_HEIGHT - MARGIN.BOTTOM - 7})`)\n",
       "          .call(xAxis)\n",
       "          .call(g =&gt; g.select(&quot;.domain&quot;).remove())\n",
       "          .call(g =&gt; g.selectAll(&quot;.tick&gt;line&quot;).remove())\n",
       "          .call(g =&gt; g.append(&quot;text&quot;)\n",
       "              .attr(&quot;x&quot;, SVG_WIDTH - MARGIN.RIGHT)\n",
       "              .attr(&quot;y&quot;, 27)\n",
       "              .attr(&quot;fill&quot;, &quot;currentColor&quot;)\n",
       "              .attr(&quot;text-anchor&quot;, &quot;end&quot;));\n",
       "\n",
       "        svgEl.selectAll(&quot;.bar&quot;)\n",
       "            .data(data)\n",
       "          .enter()\n",
       "          .append(&quot;rect&quot;)\n",
       "            .attr(&quot;class&quot;, function(d) { return d &lt; 0 ? rectColors[0] : rectColors[1]; })\n",
       "            .attr(&quot;y&quot;, function(d) { return yScale(Math.max(0, d)); })\n",
       "            .attr(&quot;x&quot;, function(d, i) { return xScale(filterAndSortChartData(chartData(histogramData), chartData(overlappedHistogramData))[i]?.axisX) })\n",
       "            .attr(&quot;height&quot;, function(d) { return Math.abs(yScale(d) - yScale(0)); })\n",
       "            .attr(&quot;width&quot;, xScale.bandwidth())\n",
       "            .style(&quot;opacity&quot;, &quot;0.8&quot;)\n",
       "\n",
       "\n",
       "            return svgEl._groups[0][0].outerHTML;\n",
       "      }\n",
       "\n",
       "      const profileFromCSVfile = {&quot;quality&quot;: {&quot;frequentItems&quot;: [{&quot;value&quot;: &quot;bad&quot;, &quot;estimate&quot;: 1115}, {&quot;value&quot;: &quot;good&quot;, &quot;estimate&quot;: 76}]}}\n",
       "\n",
       "      Handlebars.registerHelper(&quot;getDoubleHistogramChart&quot;,(column,key) =&gt; {\n",
       "        const columnKey = key.data.key\n",
       "        try {\n",
       "          if (profileFromCSVfile) {\n",
       "            return generatePositiveNegativeChart(\n",
       "                     column,\n",
       "                     profileFromCSVfile[columnKey]\n",
       "                   )\n",
       "          }\n",
       "        } catch (err) {\n",
       "          $(document).ready(() =&gt;\n",
       "            $(&quot;.desktop-content&quot;).html(`\n",
       "              &lt;p style=&quot;height: ${$(window).height()}px&quot; class=&quot;error-message&quot;&gt;\n",
       "                Something went wrong. Please try again.\n",
       "              &lt;/p&gt;\n",
       "            `)\n",
       "          )\n",
       "        }\n",
       "      });\n",
       "    }\n",
       "\n",
       "    function initWebsiteScripts() {\n",
       "      $(&quot;.svg-container&quot;).css(&quot;height&quot;, $(window).height() - 32)\n",
       "    }\n",
       "\n",
       "    function initHandlebarsTemplate() {\n",
       "      // Replace this context with JSON from .py file\n",
       "      const context = {&quot;quality&quot;: {&quot;frequentItems&quot;: [{&quot;value&quot;: &quot;bad&quot;, &quot;estimate&quot;: 267}, {&quot;value&quot;: &quot;good&quot;, &quot;estimate&quot;: 141}]}};\n",
       "      // Config handlebars and pass data to HBS template\n",
       "      const source = document.getElementById(&quot;entry-template&quot;).innerHTML;\n",
       "      const template = Handlebars.compile(source);\n",
       "      const html = template(context);\n",
       "      const target = document.getElementById(&quot;generated-html&quot;);\n",
       "      target.innerHTML = html;\n",
       "    }\n",
       "\n",
       "    // Invoke functions -- keep in mind invokation order\n",
       "    registerHandlebarHelperFunctions();\n",
       "    initHandlebarsTemplate();\n",
       "    initWebsiteScripts();\n",
       "  &lt;/script&gt;\n",
       "&lt;/html&gt;\n",
       "\" width=100% height=277px\n",
       "        frameBorder=0></iframe>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "visualization.difference_distribution_chart(feature_name=\"quality\")\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can see that there is 800 or so more \"bads\" in the Reference profile, and 50 or so more \"goods\" on the target profile."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Feature Statistics"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "With `feature_statistics`, we have access to very useful statistics by passing the feature and profile name:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div></div><iframe srcdoc=\"&lt;!DOCTYPE html&gt;\n",
       "&lt;html lang=&quot;en&quot;&gt;\n",
       "  &lt;head&gt;\n",
       "    &lt;meta charset=&quot;UTF-8&quot; /&gt;\n",
       "    &lt;meta http-equiv=&quot;X-UA-Compatible&quot; content=&quot;IE=edge&quot; /&gt;\n",
       "    &lt;meta name=&quot;viewport&quot; content=&quot;width=device-width, initial-scale=1.0&quot; /&gt;\n",
       "    &lt;meta name=&quot;description&quot; content=&quot;&quot; /&gt;\n",
       "    &lt;meta name=&quot;author&quot; content=&quot;&quot; /&gt;\n",
       "\n",
       "    &lt;title&gt;Profile Visualizer | whylogs&lt;/title&gt;\n",
       "\n",
       "    &lt;link rel=&quot;icon&quot; href=&quot;images/whylabs-favicon.png&quot; type=&quot;image/png&quot; sizes=&quot;16x16&quot; /&gt;\n",
       "    &lt;link rel=&quot;preconnect&quot; href=&quot;https://fonts.googleapis.com&quot; /&gt;\n",
       "    &lt;link rel=&quot;preconnect&quot; href=&quot;https://fonts.gstatic.com&quot; crossorigin /&gt;\n",
       "    &lt;link href=&quot;https://fonts.googleapis.com/css2?family=Asap:wght@400;500;600;700&amp;display=swap&quot; rel=&quot;stylesheet&quot; /&gt;\n",
       "    &lt;link rel=&quot;preconnect&quot; href=&quot;https://fonts.gstatic.com&quot; /&gt;\n",
       "    &lt;link rel=&quot;stylesheet&quot; href=&quot;https://cdn.jsdelivr.net/npm/bootstrap@5.1.0/dist/css/bootstrap.min.css&quot; /&gt;\n",
       "\n",
       "    &lt;script\n",
       "      src=&quot;https://cdnjs.cloudflare.com/ajax/libs/handlebars.js/4.7.7/handlebars.min.js&quot;\n",
       "      integrity=&quot;sha512-RNLkV3d+aLtfcpEyFG8jRbnWHxUqVZozacROI4J2F1sTaDqo1dPQYs01OMi1t1w9Y2FdbSCDSQ2ZVdAC8bzgAg==&quot;\n",
       "      crossorigin=&quot;anonymous&quot;\n",
       "      referrerpolicy=&quot;no-referrer&quot;\n",
       "    &gt;&lt;/script&gt;\n",
       "\n",
       "    &lt;style type=&quot;text/css&quot;&gt;\n",
       "\n",
       "      /* Screen on smaller screens */\n",
       "      .no-responsive {\n",
       "        display: none;\n",
       "        position: fixed;\n",
       "        top: 0;\n",
       "        left: 0;\n",
       "        z-index: 1031;\n",
       "        width: 100vw;\n",
       "        height: 100vh;\n",
       "        background-color: var(--tealBackground);\n",
       "        display: flex;\n",
       "        align-items: center;\n",
       "        justify-content: center;\n",
       "      }\n",
       "\n",
       "      @media screen and (min-width: 1000px) {\n",
       "        .desktop-content {\n",
       "          display: block;\n",
       "        }\n",
       "        .no-responsive {\n",
       "          display: none;\n",
       "        }\n",
       "      }\n",
       "\n",
       "      .no-responsive__content {\n",
       "        max-width: 600px;\n",
       "        width: 100%;\n",
       "        padding: 0 24px;\n",
       "      }\n",
       "\n",
       "      .no-responsive__title {\n",
       "        font-size: 96px;\n",
       "        font-weight: 300;\n",
       "        color: var(--brandSecondary900);\n",
       "        line-height: 1.167;\n",
       "      }\n",
       "\n",
       "      .no-responsive__text {\n",
       "        margin: 0;\n",
       "        font-size: 16px;\n",
       "        font-weight: 400;\n",
       "        color: var(--brandSecondary900);\n",
       "        line-height: 1.5;\n",
       "      }\n",
       "\n",
       "      .header-title {\n",
       "        font-size: 26px;\n",
       "        font-weight: 700;\n",
       "        color: #444444;\n",
       "      }\n",
       "\n",
       "      .statistics-header-title {\n",
       "        font-size: 20px;\n",
       "        font-weight: 700;\n",
       "        color: #444444;\n",
       "      }\n",
       "\n",
       "      .statistic-number-title {\n",
       "        font-family: Arial;\n",
       "        font-weight: normal;\n",
       "        font-size: 14px;\n",
       "        line-height: 20px;\n",
       "        color: #6C757D;\n",
       "      }\n",
       "\n",
       "      .statistic-number {\n",
       "        font-family: Arial;\n",
       "        font-weight: bold;\n",
       "        font-size: 20px;\n",
       "        line-height: 140%;\n",
       "        display: flex;\n",
       "        align-items: center;\n",
       "        color: #4F595B;\n",
       "      }\n",
       "\n",
       "      .full-summary-statistics-wrap {\n",
       "        padding: 20px;\n",
       "      }\n",
       "\n",
       "      .statistics {\n",
       "        width: 100%;\n",
       "      }\n",
       "\n",
       "      .statistics-list {\n",
       "        width: 49% ;\n",
       "      }\n",
       "\n",
       "      .notif-circle-container{\n",
       "        position: absolute;\n",
       "        top: -8px;\n",
       "        right: -8px;\n",
       "        padding: 5.3px;\n",
       "        border-radius: 50%;\n",
       "        background-color: var(--brandSecondary100);\n",
       "        cursor: pointer;\n",
       "      }\n",
       "\n",
       "      .notif-circle {\n",
       "        position: absolute;\n",
       "        top: 2px;\n",
       "        right: 2px;\n",
       "        height: 16px;\n",
       "        width: 16px;\n",
       "        border-radius: 50%;\n",
       "        font-size: 10px;\n",
       "        color: #fff;\n",
       "        background-color: #ECB100;\n",
       "      }\n",
       "\n",
       "      .border-solid-gray {\n",
       "        border: 1px solid #CED4DA;\n",
       "        border-radius: 4px;\n",
       "        padding: 10px;\n",
       "      }\n",
       "\n",
       "      .display-flex {\n",
       "        display: flex;\n",
       "      }\n",
       "\n",
       "      .justify-content-space-between {\n",
       "        justify-content: space-between;\n",
       "      }\n",
       "\n",
       "      .justify-content-center {\n",
       "        justify-content: center;\n",
       "      }\n",
       "\n",
       "      .align-items-center {\n",
       "        align-items: center;\n",
       "      }\n",
       "\n",
       "      .padding-right-30 {\n",
       "        padding-right: 30px;\n",
       "      }\n",
       "\n",
       "      @media screen and (min-width: 500px) {\n",
       "        .desktop-content {\n",
       "          display: block;\n",
       "        }\n",
       "        .no-responsive {\n",
       "          display: none;\n",
       "        }\n",
       "      }\n",
       "    &lt;/style&gt;\n",
       "  &lt;/head&gt;\n",
       "\n",
       "  &lt;body id=&quot;generated-html&quot;&gt;&lt;/body&gt;\n",
       "\n",
       "  &lt;script id=&quot;entry-template&quot; type=&quot;text/x-handlebars-template&quot;&gt;\n",
       "    \n",
       "      &lt;div class=&quot;desktop-content&quot;&gt;\n",
       "        &lt;div class=&quot;full-summary-statistics-wrap&quot;&gt;\n",
       "          &lt;div class=&quot;full-summary-statistics&quot;&gt;\n",
       "            &lt;div class=&quot;mb-4&quot;&gt;\n",
       "                &lt;strong class=&quot;header-title&quot;&gt;{{featureName this}}: Summary Statistics&lt;/strong&gt;\n",
       "            &lt;/div&gt;\n",
       "            &lt;div class=&quot;statistics-wrap border-solid-gray display-flex justify-content-center mb-5&quot;&gt;\n",
       "              &lt;div class=&quot;statistics display-flex justify-content-space-between&quot;&gt;\n",
       "                  &lt;div class=&quot;statistic-item padding-right-30&quot;&gt;\n",
       "                    &lt;div class=&quot;statistic-number-title&quot;&gt;Distinct (%)&lt;/div&gt;\n",
       "                    &lt;div class=&quot;statistic-number&quot;&gt;{{distinct this}}&lt;/div&gt;\n",
       "                  &lt;/div&gt;\n",
       "                  &lt;div class=&quot;statistic-item padding-right-30&quot;&gt;\n",
       "                    &lt;div class=&quot;statistic-number-title&quot;&gt;Missing&lt;/div&gt;\n",
       "                    &lt;div class=&quot;statistic-number&quot;&gt;{{missing this}}&lt;/div&gt;\n",
       "                  &lt;/div&gt;\n",
       "                  &lt;div class=&quot;statistic-item padding-right-30&quot;&gt;\n",
       "                    &lt;div class=&quot;statistic-number-title&quot;&gt;Mean&lt;/div&gt;\n",
       "                    &lt;div class=&quot;statistic-number&quot;&gt;{{mean this}}&lt;/div&gt;\n",
       "                  &lt;/div&gt;\n",
       "                  &lt;div class=&quot;statistic-item padding-right-30&quot;&gt;\n",
       "                    &lt;div class=&quot;statistic-number-title&quot;&gt;Minimum&lt;/div&gt;\n",
       "                    &lt;div class=&quot;statistic-number&quot;&gt;{{minimum this}}&lt;/div&gt;\n",
       "                  &lt;/div&gt;\n",
       "                  &lt;div class=&quot;statistic-item padding-right-30&quot;&gt;\n",
       "                    &lt;div class=&quot;statistic-number-title&quot;&gt;Maximum&lt;/div&gt;\n",
       "                    &lt;div class=&quot;statistic-number&quot;&gt;{{maximum this}}&lt;/div&gt;\n",
       "                  &lt;/div&gt;\n",
       "              &lt;/div&gt;\n",
       "            &lt;/div&gt;\n",
       "            &lt;div&gt;\n",
       "              &lt;div class=&quot;display-flex justify-content-space-between&quot;&gt;\n",
       "                &lt;div class=&quot;statistics-list border-solid-gray&quot;&gt;\n",
       "                  &lt;div&gt;\n",
       "                    &lt;div class=&quot;mb-3&quot;&gt;\n",
       "                      &lt;strong class=&quot;statistics-header-title&quot;&gt;Quantile statistics&lt;/strong&gt;\n",
       "                    &lt;/div&gt;\n",
       "                    &lt;div&gt;\n",
       "                      &lt;div class=&quot;display-flex justify-content-space-between mb-2&quot;&gt;\n",
       "                        &lt;div&gt;5-th percentile&lt;/div&gt;\n",
       "                        &lt;div&gt;{{fifthPercentile this}}&lt;/div&gt;\n",
       "                      &lt;/div&gt;\n",
       "                      &lt;div class=&quot;display-flex justify-content-space-between mb-2&quot;&gt;\n",
       "                        &lt;div&gt;Q1&lt;/div&gt;\n",
       "                        &lt;div&gt;{{q1 this}}&lt;/div&gt;\n",
       "                      &lt;/div&gt;\n",
       "                      &lt;div class=&quot;display-flex justify-content-space-between mb-2&quot;&gt;\n",
       "                        &lt;div&gt;median&lt;/div&gt;\n",
       "                        &lt;div&gt;{{median this}}&lt;/div&gt;\n",
       "                      &lt;/div&gt;\n",
       "                      &lt;div class=&quot;display-flex justify-content-space-between mb-2&quot;&gt;\n",
       "                        &lt;div&gt;Q3&lt;/div&gt;\n",
       "                        &lt;div&gt;{{q3 this}}&lt;/div&gt;\n",
       "                      &lt;/div&gt;\n",
       "                      &lt;div class=&quot;display-flex justify-content-space-between mb-2&quot;&gt;\n",
       "                        &lt;div&gt;95-th percentile&lt;/div&gt;\n",
       "                        &lt;div&gt;{{ninetyFifthPercentile this}}&lt;/div&gt;\n",
       "                      &lt;/div&gt;\n",
       "                      &lt;div class=&quot;display-flex justify-content-space-between mb-2&quot;&gt;\n",
       "                        &lt;div&gt;Range&lt;/div&gt;\n",
       "                        &lt;div&gt;{{range this}}&lt;/div&gt;\n",
       "                      &lt;/div&gt;\n",
       "                      &lt;div class=&quot;display-flex justify-content-space-between mb-2&quot;&gt;\n",
       "                        &lt;div&gt;Interquartile range (IQR)&lt;/div&gt;\n",
       "                        &lt;div&gt;{{iqr this}}&lt;/div&gt;\n",
       "                      &lt;/div&gt;\n",
       "                    &lt;/div&gt;\n",
       "                  &lt;/div&gt;\n",
       "                &lt;/div&gt;\n",
       "                &lt;div class=&quot;statistics-list border-solid-gray&quot;&gt;\n",
       "                  &lt;div&gt;\n",
       "                    &lt;div class=&quot;mb-3&quot;&gt;\n",
       "                      &lt;strong class=&quot;statistics-header-title&quot;&gt;Descriptive statistics&lt;/strong&gt;\n",
       "                    &lt;/div&gt;\n",
       "                    &lt;div&gt;\n",
       "                      &lt;div class=&quot;display-flex justify-content-space-between mb-2&quot;&gt;\n",
       "                        &lt;div&gt;Standard deviation&lt;/div&gt;\n",
       "                        &lt;div&gt;{{stddev this}}&lt;/div&gt;\n",
       "                      &lt;/div&gt;\n",
       "                      &lt;div class=&quot;display-flex justify-content-space-between mb-2&quot;&gt;\n",
       "                        &lt;div&gt;Coefficient of variation (CV)&lt;/div&gt;\n",
       "                        &lt;div&gt;{{coefficientOfVariation this}}&lt;/div&gt;\n",
       "                      &lt;/div&gt;\n",
       "                      &lt;div class=&quot;display-flex justify-content-space-between mb-2&quot;&gt;\n",
       "                        &lt;div&gt;Sum&lt;/div&gt;\n",
       "                        &lt;div&gt;{{getSum this}}&lt;/div&gt;\n",
       "                      &lt;/div&gt;\n",
       "                      &lt;div class=&quot;display-flex justify-content-space-between mb-2&quot;&gt;\n",
       "                        &lt;div&gt;Variance&lt;/div&gt;\n",
       "                        &lt;div&gt;{{variance this}}&lt;/div&gt;\n",
       "                      &lt;/div&gt;\n",
       "                    &lt;/div&gt;\n",
       "                  &lt;/div&gt;\n",
       "                &lt;/div&gt;\n",
       "              &lt;/div&gt;\n",
       "            &lt;/div&gt;\n",
       "          &lt;/div&gt;\n",
       "        &lt;/div&gt;\n",
       "      &lt;/div&gt;\n",
       "      &lt;div class=&quot;no-responsive&quot;&gt;\n",
       "        &lt;div class=&quot;no-responsive__content&quot;&gt;\n",
       "          &lt;h1 class=&quot;no-responsive__title&quot;&gt;Hold on! :)&lt;/h1&gt;\n",
       "          &lt;p class=&quot;no-responsive__text&quot;&gt;\n",
       "            It looks like your current screen size or device is not yet supported by the WhyLabs Sandbox. The Sandbox is\n",
       "            best experienced on a desktop computer. Please try maximizing this window or switching to another device. We\n",
       "            are working on adding support for a larger variety of devices.\n",
       "          &lt;/p&gt;\n",
       "        &lt;/div&gt;\n",
       "      &lt;/div&gt;\n",
       "    \n",
       "  &lt;/script&gt;\n",
       "\n",
       "  &lt;script src=&quot;https://code.jquery.com/jquery-3.6.0.min.js&quot; integrity=&quot;sha256-/xUj+3OJU5yExlq6GSYGSHk7tPXikynS7ogEvDej/m4=&quot; crossorigin=&quot;anonymous&quot;&gt;&lt;/script&gt;\n",
       "\n",
       "  &lt;script src=&quot;https://cdnjs.cloudflare.com/ajax/libs/d3/6.7.0/d3.min.js&quot; integrity=&quot;sha512-cd6CHE+XWDQ33ElJqsi0MdNte3S+bQY819f7p3NUHgwQQLXSKjE4cPZTeGNI+vaxZynk1wVU3hoHmow3m089wA==&quot; crossorigin=&quot;anonymous&quot; referrerpolicy=&quot;no-referrer&quot;&gt;&lt;/script&gt;\n",
       "\n",
       "  &lt;script&gt;\n",
       "    function registerHandlebarHelperFunctions() {\n",
       "      //helper fun\n",
       "      // function formatLabelDate(timestamp) {\n",
       "      //   const date = new Date(timestamp);\n",
       "      //   const format = d3.timeFormat(&quot;%Y-%m-%d %I:%M:%S %p %Z&quot;);\n",
       "      //   return format(date);\n",
       "      // }\n",
       "\n",
       "      function fixNumberTo(number, decimals = 3) {\n",
       "        return parseFloat(number).toFixed(decimals);\n",
       "      }\n",
       "\n",
       "      Handlebars.registerHelper(&quot;variance&quot;, function (column) {\n",
       "        const feature = Object.values(column)[0]\n",
       "\n",
       "        if (feature.descriptive_statistics &amp;&amp; feature.descriptive_statistics.variance) {\n",
       "          return fixNumberTo(feature.descriptive_statistics.variance,2);\n",
       "        }\n",
       "        return &quot;0&quot;;\n",
       "      });\n",
       "\n",
       "      Handlebars.registerHelper(&quot;coefficientOfVariation&quot;, function (column) {\n",
       "        const feature = Object.values(column)[0]\n",
       "\n",
       "        if (feature.descriptive_statistics &amp;&amp; feature.descriptive_statistics.coefficient_of_variation) {\n",
       "          return fixNumberTo(feature.descriptive_statistics.coefficient_of_variation,2);\n",
       "        }\n",
       "        return &quot;0&quot;;\n",
       "      });\n",
       "\n",
       "      Handlebars.registerHelper(&quot;median&quot;, function (column) {\n",
       "        const feature = Object.values(column)[0]\n",
       "\n",
       "        if (feature.quantile_statistics &amp;&amp; feature.quantile_statistics.median) {\n",
       "          return fixNumberTo(feature.quantile_statistics.median);\n",
       "        }\n",
       "        return &quot;0&quot;;\n",
       "      });\n",
       "\n",
       "      Handlebars.registerHelper(&quot;fifthPercentile&quot;, function (column) {\n",
       "        const feature = Object.values(column)[0]\n",
       "\n",
       "        if (feature.quantile_statistics &amp;&amp; feature.quantile_statistics.fifth_percentile) {\n",
       "          return fixNumberTo(feature.quantile_statistics.fifth_percentile);\n",
       "        }\n",
       "        return &quot;0&quot;;\n",
       "      });\n",
       "\n",
       "      Handlebars.registerHelper(&quot;ninetyFifthPercentile&quot;, function (column) {\n",
       "        const feature = Object.values(column)[0]\n",
       "\n",
       "        if (feature.quantile_statistics &amp;&amp; feature.quantile_statistics.ninety_fifth_percentile) {\n",
       "          return fixNumberTo(feature.quantile_statistics.ninety_fifth_percentile);\n",
       "        }\n",
       "        return &quot;0&quot;;\n",
       "      });\n",
       "\n",
       "      Handlebars.registerHelper(&quot;range&quot;, function (column) {\n",
       "        const feature = Object.values(column)[0]\n",
       "\n",
       "        if (feature.range) {\n",
       "          return fixNumberTo(feature.range);\n",
       "        }\n",
       "        return &quot;0&quot;;\n",
       "      });\n",
       "\n",
       "      Handlebars.registerHelper(&quot;q3&quot;, function (column) {\n",
       "        const feature = Object.values(column)[0]\n",
       "\n",
       "        if (feature.quantile_statistics &amp;&amp; feature.quantile_statistics.q3) {\n",
       "          return fixNumberTo(feature.quantile_statistics.q3);\n",
       "        }\n",
       "        return &quot;0&quot;;\n",
       "      });\n",
       "\n",
       "      Handlebars.registerHelper(&quot;q1&quot;, function (column) {\n",
       "        const feature = Object.values(column)[0]\n",
       "\n",
       "        if (feature.quantile_statistics &amp;&amp; feature.quantile_statistics.q1) {\n",
       "          return fixNumberTo(feature.quantile_statistics.q1);\n",
       "        }\n",
       "        return &quot;0&quot;;\n",
       "      });\n",
       "\n",
       "      Handlebars.registerHelper(&quot;getSum&quot;, function (column) {\n",
       "        const feature = Object.values(column)[0]\n",
       "\n",
       "        if (feature.descriptive_statistics &amp;&amp; feature.descriptive_statistics.sum) {\n",
       "          return fixNumberTo(feature.descriptive_statistics.sum,2);\n",
       "        }\n",
       "        return &quot;0&quot;;\n",
       "      });\n",
       "\n",
       "      Handlebars.registerHelper(&quot;iqr&quot;, function (column) {\n",
       "        const feature = Object.values(column)[0]\n",
       "\n",
       "        if (feature.quantile_statistics &amp;&amp; feature.quantile_statistics.iqr) {\n",
       "          return fixNumberTo(feature.quantile_statistics.iqr);\n",
       "        }\n",
       "        return &quot;0&quot;;\n",
       "      });\n",
       "\n",
       "\n",
       "      Handlebars.registerHelper(&quot;distinct&quot;, function (column) {\n",
       "        const feature = Object.values(column)[0]\n",
       "        const distinct_pct = feature.distinct\n",
       "\n",
       "        return fixNumberTo(distinct_pct,2);\n",
       "      });\n",
       "\n",
       "      Handlebars.registerHelper(&quot;missing&quot;, function (column) {\n",
       "        const feature = Object.values(column)[0]\n",
       "        if (feature.missing) {\n",
       "          return feature.missing;\n",
       "        }\n",
       "        return &quot;0&quot;;\n",
       "      });\n",
       "\n",
       "      Handlebars.registerHelper(&quot;mean&quot;, function (column) {\n",
       "        const feature = Object.values(column)[0]\n",
       "\n",
       "        if (feature.descriptive_statistics &amp;&amp; feature.descriptive_statistics.mean) {\n",
       "          return fixNumberTo(feature.descriptive_statistics.mean);\n",
       "        }\n",
       "        return &quot;0&quot;;\n",
       "      });\n",
       "\n",
       "      Handlebars.registerHelper(&quot;stddev&quot;, function (column) {\n",
       "        const feature = Object.values(column)[0]\n",
       "\n",
       "        if (feature.descriptive_statistics &amp;&amp; feature.descriptive_statistics.stddev) {\n",
       "          return fixNumberTo(feature.descriptive_statistics.stddev);\n",
       "        }\n",
       "        return &quot;0&quot;;\n",
       "      });\n",
       "\n",
       "      Handlebars.registerHelper(&quot;minimum&quot;, function (column) {\n",
       "        const feature = Object.values(column)[0]\n",
       "\n",
       "        if (feature.min) {\n",
       "          return fixNumberTo(feature.min);\n",
       "        }\n",
       "        return &quot;0&quot;;\n",
       "      });\n",
       "\n",
       "      Handlebars.registerHelper(&quot;maximum&quot;, function (column) {\n",
       "        const feature = Object.values(column)[0]\n",
       "\n",
       "        if (feature.max) {\n",
       "          return fixNumberTo(feature.max);\n",
       "        }\n",
       "        return &quot;0&quot;;\n",
       "      });\n",
       "\n",
       "      // Handlebars.registerHelper(&quot;getProfileTimeStamp&quot;, function (column) {\n",
       "      //   return formatLabelDate(+column.properties.dataTimestamp)\n",
       "      // });\n",
       "\n",
       "      // Handlebars.registerHelper(&quot;getProfileName&quot;, function (column) {\n",
       "      //   return column.properties.tags.name\n",
       "      // });\n",
       "\n",
       "      Handlebars.registerHelper(&quot;featureName&quot;, function (column) {\n",
       "        const featureName = Object.keys(column)[0]\n",
       "        return featureName\n",
       "      });\n",
       "    }\n",
       "\n",
       "    function initHandlebarsTemplate() {\n",
       "      // Replace this context with JSON from .py file\n",
       "      const context = {&quot;citric acid&quot;: {&quot;total_count&quot;: 398, &quot;missing&quot;: 10, &quot;distinct&quot;: 18.090455451204008, &quot;min&quot;: 0.0, &quot;max&quot;: 0.79, &quot;range&quot;: 0.79, &quot;quantile_statistics&quot;: {&quot;fifth_percentile&quot;: 0.0, &quot;iqr&quot;: 0.37, &quot;q1&quot;: 0.1, &quot;median&quot;: 0.35, &quot;q3&quot;: 0.47, &quot;ninety_fifth_percentile&quot;: 0.66}, &quot;descriptive_statistics&quot;: {&quot;stddev&quot;: 0.20859943016152155, &quot;coefficient_of_variation&quot;: 0.6620619872750046, &quot;sum&quot;: 125.4, &quot;variance&quot;: 0.04351372226371151, &quot;mean&quot;: 0.3150753768844221}}};\n",
       "      // Config handlebars and pass data to HBS template\n",
       "      const source = document.getElementById(&quot;entry-template&quot;).innerHTML;\n",
       "      const template = Handlebars.compile(source);\n",
       "      const html = template(context);\n",
       "      const target = document.getElementById(&quot;generated-html&quot;);\n",
       "      target.innerHTML = html;\n",
       "    }\n",
       "\n",
       "    // Invoke functions -- keep in mind invokation order\n",
       "    registerHandlebarHelperFunctions();\n",
       "    initHandlebarsTemplate();\n",
       "  &lt;/script&gt;\n",
       "&lt;/html&gt;\n",
       "\" width=100% height=650px\n",
       "        frameBorder=0></iframe>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "visualization.feature_statistics(feature_name=\"citric acid\", profile=\"target\")\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Looks like we have 72 distinct values for `citric acid`, ranging from 0 to 0.79. We can also see the 10 missing values injected earlier."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Downloading the Visualization Output"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "All of the previous visualizations can be downloaded in `HTML` format for further inspection. Just run:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "os.getcwd()\n",
    "visualization.write(\n",
    "    rendered_html=visualization.feature_statistics(\n",
    "        feature_name=\"density\", profile=\"target\"\n",
    "    ),\n",
    "    html_file_name=os.getcwd() + \"/example\",\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We're downloading the constraints report here, but you can simply replace it for your preferred visualization. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## References"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- https://www.kaggle.com/uciml/red-wine-quality-cortez-et-al-2009\n",
    "\n",
    "- https://www.kaggle.com/vishalyo990/prediction-of-quality-of-wine\n",
    "\n",
    "- https://medium.com/data-from-the-trenches/a-primer-on-data-drift-18789ef252a6"
   ]
  }
 ],
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