diff --git a/Customer Churn Analysis.ipynb b/Customer Churn Analysis.ipynb
index 7650a1f..2d332bb 100644
--- a/Customer Churn Analysis.ipynb	
+++ b/Customer Churn Analysis.ipynb	
@@ -1,41737 +1 @@
-{
- "cells": [
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "id": "a9ee639c",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "#importing libraries to retrieve data and read csv and to perform EDa tasks\n",
-    "import pandas as pd\n",
-    "import numpy as np\n",
-    "#importing for visualisation\n",
-    "import seaborn as sns\n",
-    "#sklearn for converting catagorical values to Numeric data"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "902edb01",
-   "metadata": {},
-   "source": [
-    "# Real time use case\n",
-    "\n",
-    "Customer churn analysis helps businesses understand \n",
-    "why customers don't return for repeat business. Churn rate tells you\n",
-    "what portion of your customers leave over a period of time\n",
-    "\n",
-    "A company's churn rate, or employee churn rate, refers to both the attrition rate and the turnover rate. All of these terms refer to the number of employees who leave the organization during a specified period of time, generally a year. (Note that the term 'churn' used generically can also apply to customers.)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "id": "56002c49",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "\n",
-    "\n",
-    "#import dataset\n",
-    "data = pd.read_csv(\"C://Users//Lenovo//Downloads//Customer_Churn-1.csv\")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 3,
-   "id": "a48f5f33",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>customerID</th>\n",
-       "      <th>gender</th>\n",
-       "      <th>SeniorCitizen</th>\n",
-       "      <th>Partner</th>\n",
-       "      <th>Dependents</th>\n",
-       "      <th>tenure</th>\n",
-       "      <th>PhoneService</th>\n",
-       "      <th>MultipleLines</th>\n",
-       "      <th>InternetService</th>\n",
-       "      <th>OnlineSecurity</th>\n",
-       "      <th>...</th>\n",
-       "      <th>DeviceProtection</th>\n",
-       "      <th>TechSupport</th>\n",
-       "      <th>StreamingTV</th>\n",
-       "      <th>StreamingMovies</th>\n",
-       "      <th>Contract</th>\n",
-       "      <th>PaperlessBilling</th>\n",
-       "      <th>PaymentMethod</th>\n",
-       "      <th>MonthlyCharges</th>\n",
-       "      <th>TotalCharges</th>\n",
-       "      <th>Churn</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>7590-VHVEG</td>\n",
-       "      <td>Female</td>\n",
-       "      <td>0</td>\n",
-       "      <td>Yes</td>\n",
-       "      <td>No</td>\n",
-       "      <td>1</td>\n",
-       "      <td>No</td>\n",
-       "      <td>No phone service</td>\n",
-       "      <td>DSL</td>\n",
-       "      <td>No</td>\n",
-       "      <td>...</td>\n",
-       "      <td>No</td>\n",
-       "      <td>No</td>\n",
-       "      <td>No</td>\n",
-       "      <td>No</td>\n",
-       "      <td>Month-to-month</td>\n",
-       "      <td>Yes</td>\n",
-       "      <td>Electronic check</td>\n",
-       "      <td>29.85</td>\n",
-       "      <td>29.85</td>\n",
-       "      <td>No</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>5575-GNVDE</td>\n",
-       "      <td>Male</td>\n",
-       "      <td>0</td>\n",
-       "      <td>No</td>\n",
-       "      <td>No</td>\n",
-       "      <td>34</td>\n",
-       "      <td>Yes</td>\n",
-       "      <td>No</td>\n",
-       "      <td>DSL</td>\n",
-       "      <td>Yes</td>\n",
-       "      <td>...</td>\n",
-       "      <td>Yes</td>\n",
-       "      <td>No</td>\n",
-       "      <td>No</td>\n",
-       "      <td>No</td>\n",
-       "      <td>One year</td>\n",
-       "      <td>No</td>\n",
-       "      <td>Mailed check</td>\n",
-       "      <td>56.95</td>\n",
-       "      <td>1889.5</td>\n",
-       "      <td>No</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>3668-QPYBK</td>\n",
-       "      <td>Male</td>\n",
-       "      <td>0</td>\n",
-       "      <td>No</td>\n",
-       "      <td>No</td>\n",
-       "      <td>2</td>\n",
-       "      <td>Yes</td>\n",
-       "      <td>No</td>\n",
-       "      <td>DSL</td>\n",
-       "      <td>Yes</td>\n",
-       "      <td>...</td>\n",
-       "      <td>No</td>\n",
-       "      <td>No</td>\n",
-       "      <td>No</td>\n",
-       "      <td>No</td>\n",
-       "      <td>Month-to-month</td>\n",
-       "      <td>Yes</td>\n",
-       "      <td>Mailed check</td>\n",
-       "      <td>53.85</td>\n",
-       "      <td>108.15</td>\n",
-       "      <td>Yes</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>7795-CFOCW</td>\n",
-       "      <td>Male</td>\n",
-       "      <td>0</td>\n",
-       "      <td>No</td>\n",
-       "      <td>No</td>\n",
-       "      <td>45</td>\n",
-       "      <td>No</td>\n",
-       "      <td>No phone service</td>\n",
-       "      <td>DSL</td>\n",
-       "      <td>Yes</td>\n",
-       "      <td>...</td>\n",
-       "      <td>Yes</td>\n",
-       "      <td>Yes</td>\n",
-       "      <td>No</td>\n",
-       "      <td>No</td>\n",
-       "      <td>One year</td>\n",
-       "      <td>No</td>\n",
-       "      <td>Bank transfer (automatic)</td>\n",
-       "      <td>42.30</td>\n",
-       "      <td>1840.75</td>\n",
-       "      <td>No</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>9237-HQITU</td>\n",
-       "      <td>Female</td>\n",
-       "      <td>0</td>\n",
-       "      <td>No</td>\n",
-       "      <td>No</td>\n",
-       "      <td>2</td>\n",
-       "      <td>Yes</td>\n",
-       "      <td>No</td>\n",
-       "      <td>Fiber optic</td>\n",
-       "      <td>No</td>\n",
-       "      <td>...</td>\n",
-       "      <td>No</td>\n",
-       "      <td>No</td>\n",
-       "      <td>No</td>\n",
-       "      <td>No</td>\n",
-       "      <td>Month-to-month</td>\n",
-       "      <td>Yes</td>\n",
-       "      <td>Electronic check</td>\n",
-       "      <td>70.70</td>\n",
-       "      <td>151.65</td>\n",
-       "      <td>Yes</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>5</th>\n",
-       "      <td>9305-CDSKC</td>\n",
-       "      <td>Female</td>\n",
-       "      <td>0</td>\n",
-       "      <td>No</td>\n",
-       "      <td>No</td>\n",
-       "      <td>8</td>\n",
-       "      <td>Yes</td>\n",
-       "      <td>Yes</td>\n",
-       "      <td>Fiber optic</td>\n",
-       "      <td>No</td>\n",
-       "      <td>...</td>\n",
-       "      <td>Yes</td>\n",
-       "      <td>No</td>\n",
-       "      <td>Yes</td>\n",
-       "      <td>Yes</td>\n",
-       "      <td>Month-to-month</td>\n",
-       "      <td>Yes</td>\n",
-       "      <td>Electronic check</td>\n",
-       "      <td>99.65</td>\n",
-       "      <td>820.5</td>\n",
-       "      <td>Yes</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>6</th>\n",
-       "      <td>1452-KIOVK</td>\n",
-       "      <td>Male</td>\n",
-       "      <td>0</td>\n",
-       "      <td>No</td>\n",
-       "      <td>Yes</td>\n",
-       "      <td>22</td>\n",
-       "      <td>Yes</td>\n",
-       "      <td>Yes</td>\n",
-       "      <td>Fiber optic</td>\n",
-       "      <td>No</td>\n",
-       "      <td>...</td>\n",
-       "      <td>No</td>\n",
-       "      <td>No</td>\n",
-       "      <td>Yes</td>\n",
-       "      <td>No</td>\n",
-       "      <td>Month-to-month</td>\n",
-       "      <td>Yes</td>\n",
-       "      <td>Credit card (automatic)</td>\n",
-       "      <td>89.10</td>\n",
-       "      <td>1949.4</td>\n",
-       "      <td>No</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>7</th>\n",
-       "      <td>6713-OKOMC</td>\n",
-       "      <td>Female</td>\n",
-       "      <td>0</td>\n",
-       "      <td>No</td>\n",
-       "      <td>No</td>\n",
-       "      <td>10</td>\n",
-       "      <td>No</td>\n",
-       "      <td>No phone service</td>\n",
-       "      <td>DSL</td>\n",
-       "      <td>Yes</td>\n",
-       "      <td>...</td>\n",
-       "      <td>No</td>\n",
-       "      <td>No</td>\n",
-       "      <td>No</td>\n",
-       "      <td>No</td>\n",
-       "      <td>Month-to-month</td>\n",
-       "      <td>No</td>\n",
-       "      <td>Mailed check</td>\n",
-       "      <td>29.75</td>\n",
-       "      <td>301.9</td>\n",
-       "      <td>No</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>8</th>\n",
-       "      <td>7892-POOKP</td>\n",
-       "      <td>Female</td>\n",
-       "      <td>0</td>\n",
-       "      <td>Yes</td>\n",
-       "      <td>No</td>\n",
-       "      <td>28</td>\n",
-       "      <td>Yes</td>\n",
-       "      <td>Yes</td>\n",
-       "      <td>Fiber optic</td>\n",
-       "      <td>No</td>\n",
-       "      <td>...</td>\n",
-       "      <td>Yes</td>\n",
-       "      <td>Yes</td>\n",
-       "      <td>Yes</td>\n",
-       "      <td>Yes</td>\n",
-       "      <td>Month-to-month</td>\n",
-       "      <td>Yes</td>\n",
-       "      <td>Electronic check</td>\n",
-       "      <td>104.80</td>\n",
-       "      <td>3046.05</td>\n",
-       "      <td>Yes</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>9</th>\n",
-       "      <td>6388-TABGU</td>\n",
-       "      <td>Male</td>\n",
-       "      <td>0</td>\n",
-       "      <td>No</td>\n",
-       "      <td>Yes</td>\n",
-       "      <td>62</td>\n",
-       "      <td>Yes</td>\n",
-       "      <td>No</td>\n",
-       "      <td>DSL</td>\n",
-       "      <td>Yes</td>\n",
-       "      <td>...</td>\n",
-       "      <td>No</td>\n",
-       "      <td>No</td>\n",
-       "      <td>No</td>\n",
-       "      <td>No</td>\n",
-       "      <td>One year</td>\n",
-       "      <td>No</td>\n",
-       "      <td>Bank transfer (automatic)</td>\n",
-       "      <td>56.15</td>\n",
-       "      <td>3487.95</td>\n",
-       "      <td>No</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "<p>10 rows × 21 columns</p>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "   customerID  gender  SeniorCitizen Partner Dependents  tenure PhoneService  \\\n",
-       "0  7590-VHVEG  Female              0     Yes         No       1           No   \n",
-       "1  5575-GNVDE    Male              0      No         No      34          Yes   \n",
-       "2  3668-QPYBK    Male              0      No         No       2          Yes   \n",
-       "3  7795-CFOCW    Male              0      No         No      45           No   \n",
-       "4  9237-HQITU  Female              0      No         No       2          Yes   \n",
-       "5  9305-CDSKC  Female              0      No         No       8          Yes   \n",
-       "6  1452-KIOVK    Male              0      No        Yes      22          Yes   \n",
-       "7  6713-OKOMC  Female              0      No         No      10           No   \n",
-       "8  7892-POOKP  Female              0     Yes         No      28          Yes   \n",
-       "9  6388-TABGU    Male              0      No        Yes      62          Yes   \n",
-       "\n",
-       "      MultipleLines InternetService OnlineSecurity  ... DeviceProtection  \\\n",
-       "0  No phone service             DSL             No  ...               No   \n",
-       "1                No             DSL            Yes  ...              Yes   \n",
-       "2                No             DSL            Yes  ...               No   \n",
-       "3  No phone service             DSL            Yes  ...              Yes   \n",
-       "4                No     Fiber optic             No  ...               No   \n",
-       "5               Yes     Fiber optic             No  ...              Yes   \n",
-       "6               Yes     Fiber optic             No  ...               No   \n",
-       "7  No phone service             DSL            Yes  ...               No   \n",
-       "8               Yes     Fiber optic             No  ...              Yes   \n",
-       "9                No             DSL            Yes  ...               No   \n",
-       "\n",
-       "  TechSupport StreamingTV StreamingMovies        Contract PaperlessBilling  \\\n",
-       "0          No          No              No  Month-to-month              Yes   \n",
-       "1          No          No              No        One year               No   \n",
-       "2          No          No              No  Month-to-month              Yes   \n",
-       "3         Yes          No              No        One year               No   \n",
-       "4          No          No              No  Month-to-month              Yes   \n",
-       "5          No         Yes             Yes  Month-to-month              Yes   \n",
-       "6          No         Yes              No  Month-to-month              Yes   \n",
-       "7          No          No              No  Month-to-month               No   \n",
-       "8         Yes         Yes             Yes  Month-to-month              Yes   \n",
-       "9          No          No              No        One year               No   \n",
-       "\n",
-       "               PaymentMethod MonthlyCharges  TotalCharges Churn  \n",
-       "0           Electronic check          29.85         29.85    No  \n",
-       "1               Mailed check          56.95        1889.5    No  \n",
-       "2               Mailed check          53.85        108.15   Yes  \n",
-       "3  Bank transfer (automatic)          42.30       1840.75    No  \n",
-       "4           Electronic check          70.70        151.65   Yes  \n",
-       "5           Electronic check          99.65         820.5   Yes  \n",
-       "6    Credit card (automatic)          89.10        1949.4    No  \n",
-       "7               Mailed check          29.75         301.9    No  \n",
-       "8           Electronic check         104.80       3046.05   Yes  \n",
-       "9  Bank transfer (automatic)          56.15       3487.95    No  \n",
-       "\n",
-       "[10 rows x 21 columns]"
-      ]
-     },
-     "execution_count": 3,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# After importing : Immediate step is to get the friendship with the data.\n",
-    "\n",
-    "#Top 10 recordings\n",
-    "data.head(10)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 4,
-   "id": "12cdffa9",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>count</th>\n",
-       "      <th>mean</th>\n",
-       "      <th>std</th>\n",
-       "      <th>min</th>\n",
-       "      <th>25%</th>\n",
-       "      <th>50%</th>\n",
-       "      <th>75%</th>\n",
-       "      <th>max</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>SeniorCitizen</th>\n",
-       "      <td>7043.0</td>\n",
-       "      <td>0.162147</td>\n",
-       "      <td>0.368612</td>\n",
-       "      <td>0.00</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.00</td>\n",
-       "      <td>0.00</td>\n",
-       "      <td>1.00</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>tenure</th>\n",
-       "      <td>7043.0</td>\n",
-       "      <td>32.371149</td>\n",
-       "      <td>24.559481</td>\n",
-       "      <td>0.00</td>\n",
-       "      <td>9.0</td>\n",
-       "      <td>29.00</td>\n",
-       "      <td>55.00</td>\n",
-       "      <td>72.00</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>MonthlyCharges</th>\n",
-       "      <td>7043.0</td>\n",
-       "      <td>64.761692</td>\n",
-       "      <td>30.090047</td>\n",
-       "      <td>18.25</td>\n",
-       "      <td>35.5</td>\n",
-       "      <td>70.35</td>\n",
-       "      <td>89.85</td>\n",
-       "      <td>118.75</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "                 count       mean        std    min   25%    50%    75%  \\\n",
-       "SeniorCitizen   7043.0   0.162147   0.368612   0.00   0.0   0.00   0.00   \n",
-       "tenure          7043.0  32.371149  24.559481   0.00   9.0  29.00  55.00   \n",
-       "MonthlyCharges  7043.0  64.761692  30.090047  18.25  35.5  70.35  89.85   \n",
-       "\n",
-       "                   max  \n",
-       "SeniorCitizen     1.00  \n",
-       "tenure           72.00  \n",
-       "MonthlyCharges  118.75  "
-      ]
-     },
-     "execution_count": 4,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "#descriptive stats for numeric columns\n",
-    "data.describe().T"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 5,
-   "id": "512a42bb",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "customerID          0\n",
-       "gender              0\n",
-       "SeniorCitizen       0\n",
-       "Partner             0\n",
-       "Dependents          0\n",
-       "tenure              0\n",
-       "PhoneService        0\n",
-       "MultipleLines       0\n",
-       "InternetService     0\n",
-       "OnlineSecurity      0\n",
-       "OnlineBackup        0\n",
-       "DeviceProtection    0\n",
-       "TechSupport         0\n",
-       "StreamingTV         0\n",
-       "StreamingMovies     0\n",
-       "Contract            0\n",
-       "PaperlessBilling    0\n",
-       "PaymentMethod       0\n",
-       "MonthlyCharges      0\n",
-       "TotalCharges        0\n",
-       "Churn               0\n",
-       "dtype: int64"
-      ]
-     },
-     "execution_count": 5,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "#$checking null Values in the data\n",
-    "data.isnull().sum()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 6,
-   "id": "3182c4a4",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "<class 'pandas.core.frame.DataFrame'>\n",
-      "RangeIndex: 7043 entries, 0 to 7042\n",
-      "Data columns (total 21 columns):\n",
-      " #   Column            Non-Null Count  Dtype  \n",
-      "---  ------            --------------  -----  \n",
-      " 0   customerID        7043 non-null   object \n",
-      " 1   gender            7043 non-null   object \n",
-      " 2   SeniorCitizen     7043 non-null   int64  \n",
-      " 3   Partner           7043 non-null   object \n",
-      " 4   Dependents        7043 non-null   object \n",
-      " 5   tenure            7043 non-null   int64  \n",
-      " 6   PhoneService      7043 non-null   object \n",
-      " 7   MultipleLines     7043 non-null   object \n",
-      " 8   InternetService   7043 non-null   object \n",
-      " 9   OnlineSecurity    7043 non-null   object \n",
-      " 10  OnlineBackup      7043 non-null   object \n",
-      " 11  DeviceProtection  7043 non-null   object \n",
-      " 12  TechSupport       7043 non-null   object \n",
-      " 13  StreamingTV       7043 non-null   object \n",
-      " 14  StreamingMovies   7043 non-null   object \n",
-      " 15  Contract          7043 non-null   object \n",
-      " 16  PaperlessBilling  7043 non-null   object \n",
-      " 17  PaymentMethod     7043 non-null   object \n",
-      " 18  MonthlyCharges    7043 non-null   float64\n",
-      " 19  TotalCharges      7043 non-null   object \n",
-      " 20  Churn             7043 non-null   object \n",
-      "dtypes: float64(1), int64(2), object(18)\n",
-      "memory usage: 1.1+ MB\n"
-     ]
-    }
-   ],
-   "source": [
-    "data.info()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 7,
-   "id": "12040083",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "#changing total charges to numeric as it is continuos variable\n",
-    "data['TotalCharges'] = pd.to_numeric(data['TotalCharges'], errors = 'coerce')\n",
-    "\n",
-    "#errors = 'coerce' : It will ignore all non-numeric values.It will replace all non-numeric values with NaN."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 8,
-   "id": "f31e0524",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "#drop nan values\n",
-    "data = data.dropna(how='any', axis = 0)\n",
-    "\n",
-    "# axis=0  will be removing rows from dataset.\n",
-    "# axis=1 will be removing columns"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 9,
-   "id": "7a25184d",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "<class 'pandas.core.frame.DataFrame'>\n",
-      "Int64Index: 7032 entries, 0 to 7042\n",
-      "Data columns (total 21 columns):\n",
-      " #   Column            Non-Null Count  Dtype  \n",
-      "---  ------            --------------  -----  \n",
-      " 0   customerID        7032 non-null   object \n",
-      " 1   gender            7032 non-null   object \n",
-      " 2   SeniorCitizen     7032 non-null   int64  \n",
-      " 3   Partner           7032 non-null   object \n",
-      " 4   Dependents        7032 non-null   object \n",
-      " 5   tenure            7032 non-null   int64  \n",
-      " 6   PhoneService      7032 non-null   object \n",
-      " 7   MultipleLines     7032 non-null   object \n",
-      " 8   InternetService   7032 non-null   object \n",
-      " 9   OnlineSecurity    7032 non-null   object \n",
-      " 10  OnlineBackup      7032 non-null   object \n",
-      " 11  DeviceProtection  7032 non-null   object \n",
-      " 12  TechSupport       7032 non-null   object \n",
-      " 13  StreamingTV       7032 non-null   object \n",
-      " 14  StreamingMovies   7032 non-null   object \n",
-      " 15  Contract          7032 non-null   object \n",
-      " 16  PaperlessBilling  7032 non-null   object \n",
-      " 17  PaymentMethod     7032 non-null   object \n",
-      " 18  MonthlyCharges    7032 non-null   float64\n",
-      " 19  TotalCharges      7032 non-null   float64\n",
-      " 20  Churn             7032 non-null   object \n",
-      "dtypes: float64(2), int64(2), object(17)\n",
-      "memory usage: 1.2+ MB\n"
-     ]
-    }
-   ],
-   "source": [
-    "data.info()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 10,
-   "id": "7fbf471f",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>index</th>\n",
-       "      <th>customerID</th>\n",
-       "      <th>gender</th>\n",
-       "      <th>SeniorCitizen</th>\n",
-       "      <th>Partner</th>\n",
-       "      <th>Dependents</th>\n",
-       "      <th>tenure</th>\n",
-       "      <th>PhoneService</th>\n",
-       "      <th>MultipleLines</th>\n",
-       "      <th>InternetService</th>\n",
-       "      <th>...</th>\n",
-       "      <th>DeviceProtection</th>\n",
-       "      <th>TechSupport</th>\n",
-       "      <th>StreamingTV</th>\n",
-       "      <th>StreamingMovies</th>\n",
-       "      <th>Contract</th>\n",
-       "      <th>PaperlessBilling</th>\n",
-       "      <th>PaymentMethod</th>\n",
-       "      <th>MonthlyCharges</th>\n",
-       "      <th>TotalCharges</th>\n",
-       "      <th>Churn</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>0</td>\n",
-       "      <td>7590-VHVEG</td>\n",
-       "      <td>Female</td>\n",
-       "      <td>0</td>\n",
-       "      <td>Yes</td>\n",
-       "      <td>No</td>\n",
-       "      <td>1</td>\n",
-       "      <td>No</td>\n",
-       "      <td>No phone service</td>\n",
-       "      <td>DSL</td>\n",
-       "      <td>...</td>\n",
-       "      <td>No</td>\n",
-       "      <td>No</td>\n",
-       "      <td>No</td>\n",
-       "      <td>No</td>\n",
-       "      <td>Month-to-month</td>\n",
-       "      <td>Yes</td>\n",
-       "      <td>Electronic check</td>\n",
-       "      <td>29.85</td>\n",
-       "      <td>29.85</td>\n",
-       "      <td>No</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>1</td>\n",
-       "      <td>5575-GNVDE</td>\n",
-       "      <td>Male</td>\n",
-       "      <td>0</td>\n",
-       "      <td>No</td>\n",
-       "      <td>No</td>\n",
-       "      <td>34</td>\n",
-       "      <td>Yes</td>\n",
-       "      <td>No</td>\n",
-       "      <td>DSL</td>\n",
-       "      <td>...</td>\n",
-       "      <td>Yes</td>\n",
-       "      <td>No</td>\n",
-       "      <td>No</td>\n",
-       "      <td>No</td>\n",
-       "      <td>One year</td>\n",
-       "      <td>No</td>\n",
-       "      <td>Mailed check</td>\n",
-       "      <td>56.95</td>\n",
-       "      <td>1889.50</td>\n",
-       "      <td>No</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>2</td>\n",
-       "      <td>3668-QPYBK</td>\n",
-       "      <td>Male</td>\n",
-       "      <td>0</td>\n",
-       "      <td>No</td>\n",
-       "      <td>No</td>\n",
-       "      <td>2</td>\n",
-       "      <td>Yes</td>\n",
-       "      <td>No</td>\n",
-       "      <td>DSL</td>\n",
-       "      <td>...</td>\n",
-       "      <td>No</td>\n",
-       "      <td>No</td>\n",
-       "      <td>No</td>\n",
-       "      <td>No</td>\n",
-       "      <td>Month-to-month</td>\n",
-       "      <td>Yes</td>\n",
-       "      <td>Mailed check</td>\n",
-       "      <td>53.85</td>\n",
-       "      <td>108.15</td>\n",
-       "      <td>Yes</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>3</td>\n",
-       "      <td>7795-CFOCW</td>\n",
-       "      <td>Male</td>\n",
-       "      <td>0</td>\n",
-       "      <td>No</td>\n",
-       "      <td>No</td>\n",
-       "      <td>45</td>\n",
-       "      <td>No</td>\n",
-       "      <td>No phone service</td>\n",
-       "      <td>DSL</td>\n",
-       "      <td>...</td>\n",
-       "      <td>Yes</td>\n",
-       "      <td>Yes</td>\n",
-       "      <td>No</td>\n",
-       "      <td>No</td>\n",
-       "      <td>One year</td>\n",
-       "      <td>No</td>\n",
-       "      <td>Bank transfer (automatic)</td>\n",
-       "      <td>42.30</td>\n",
-       "      <td>1840.75</td>\n",
-       "      <td>No</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>4</td>\n",
-       "      <td>9237-HQITU</td>\n",
-       "      <td>Female</td>\n",
-       "      <td>0</td>\n",
-       "      <td>No</td>\n",
-       "      <td>No</td>\n",
-       "      <td>2</td>\n",
-       "      <td>Yes</td>\n",
-       "      <td>No</td>\n",
-       "      <td>Fiber optic</td>\n",
-       "      <td>...</td>\n",
-       "      <td>No</td>\n",
-       "      <td>No</td>\n",
-       "      <td>No</td>\n",
-       "      <td>No</td>\n",
-       "      <td>Month-to-month</td>\n",
-       "      <td>Yes</td>\n",
-       "      <td>Electronic check</td>\n",
-       "      <td>70.70</td>\n",
-       "      <td>151.65</td>\n",
-       "      <td>Yes</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>...</th>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>7027</th>\n",
-       "      <td>7038</td>\n",
-       "      <td>6840-RESVB</td>\n",
-       "      <td>Male</td>\n",
-       "      <td>0</td>\n",
-       "      <td>Yes</td>\n",
-       "      <td>Yes</td>\n",
-       "      <td>24</td>\n",
-       "      <td>Yes</td>\n",
-       "      <td>Yes</td>\n",
-       "      <td>DSL</td>\n",
-       "      <td>...</td>\n",
-       "      <td>Yes</td>\n",
-       "      <td>Yes</td>\n",
-       "      <td>Yes</td>\n",
-       "      <td>Yes</td>\n",
-       "      <td>One year</td>\n",
-       "      <td>Yes</td>\n",
-       "      <td>Mailed check</td>\n",
-       "      <td>84.80</td>\n",
-       "      <td>1990.50</td>\n",
-       "      <td>No</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>7028</th>\n",
-       "      <td>7039</td>\n",
-       "      <td>2234-XADUH</td>\n",
-       "      <td>Female</td>\n",
-       "      <td>0</td>\n",
-       "      <td>Yes</td>\n",
-       "      <td>Yes</td>\n",
-       "      <td>72</td>\n",
-       "      <td>Yes</td>\n",
-       "      <td>Yes</td>\n",
-       "      <td>Fiber optic</td>\n",
-       "      <td>...</td>\n",
-       "      <td>Yes</td>\n",
-       "      <td>No</td>\n",
-       "      <td>Yes</td>\n",
-       "      <td>Yes</td>\n",
-       "      <td>One year</td>\n",
-       "      <td>Yes</td>\n",
-       "      <td>Credit card (automatic)</td>\n",
-       "      <td>103.20</td>\n",
-       "      <td>7362.90</td>\n",
-       "      <td>No</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>7029</th>\n",
-       "      <td>7040</td>\n",
-       "      <td>4801-JZAZL</td>\n",
-       "      <td>Female</td>\n",
-       "      <td>0</td>\n",
-       "      <td>Yes</td>\n",
-       "      <td>Yes</td>\n",
-       "      <td>11</td>\n",
-       "      <td>No</td>\n",
-       "      <td>No phone service</td>\n",
-       "      <td>DSL</td>\n",
-       "      <td>...</td>\n",
-       "      <td>No</td>\n",
-       "      <td>No</td>\n",
-       "      <td>No</td>\n",
-       "      <td>No</td>\n",
-       "      <td>Month-to-month</td>\n",
-       "      <td>Yes</td>\n",
-       "      <td>Electronic check</td>\n",
-       "      <td>29.60</td>\n",
-       "      <td>346.45</td>\n",
-       "      <td>No</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>7030</th>\n",
-       "      <td>7041</td>\n",
-       "      <td>8361-LTMKD</td>\n",
-       "      <td>Male</td>\n",
-       "      <td>1</td>\n",
-       "      <td>Yes</td>\n",
-       "      <td>No</td>\n",
-       "      <td>4</td>\n",
-       "      <td>Yes</td>\n",
-       "      <td>Yes</td>\n",
-       "      <td>Fiber optic</td>\n",
-       "      <td>...</td>\n",
-       "      <td>No</td>\n",
-       "      <td>No</td>\n",
-       "      <td>No</td>\n",
-       "      <td>No</td>\n",
-       "      <td>Month-to-month</td>\n",
-       "      <td>Yes</td>\n",
-       "      <td>Mailed check</td>\n",
-       "      <td>74.40</td>\n",
-       "      <td>306.60</td>\n",
-       "      <td>Yes</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>7031</th>\n",
-       "      <td>7042</td>\n",
-       "      <td>3186-AJIEK</td>\n",
-       "      <td>Male</td>\n",
-       "      <td>0</td>\n",
-       "      <td>No</td>\n",
-       "      <td>No</td>\n",
-       "      <td>66</td>\n",
-       "      <td>Yes</td>\n",
-       "      <td>No</td>\n",
-       "      <td>Fiber optic</td>\n",
-       "      <td>...</td>\n",
-       "      <td>Yes</td>\n",
-       "      <td>Yes</td>\n",
-       "      <td>Yes</td>\n",
-       "      <td>Yes</td>\n",
-       "      <td>Two year</td>\n",
-       "      <td>Yes</td>\n",
-       "      <td>Bank transfer (automatic)</td>\n",
-       "      <td>105.65</td>\n",
-       "      <td>6844.50</td>\n",
-       "      <td>No</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "<p>7032 rows × 22 columns</p>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "      index  customerID  gender  SeniorCitizen Partner Dependents  tenure  \\\n",
-       "0         0  7590-VHVEG  Female              0     Yes         No       1   \n",
-       "1         1  5575-GNVDE    Male              0      No         No      34   \n",
-       "2         2  3668-QPYBK    Male              0      No         No       2   \n",
-       "3         3  7795-CFOCW    Male              0      No         No      45   \n",
-       "4         4  9237-HQITU  Female              0      No         No       2   \n",
-       "...     ...         ...     ...            ...     ...        ...     ...   \n",
-       "7027   7038  6840-RESVB    Male              0     Yes        Yes      24   \n",
-       "7028   7039  2234-XADUH  Female              0     Yes        Yes      72   \n",
-       "7029   7040  4801-JZAZL  Female              0     Yes        Yes      11   \n",
-       "7030   7041  8361-LTMKD    Male              1     Yes         No       4   \n",
-       "7031   7042  3186-AJIEK    Male              0      No         No      66   \n",
-       "\n",
-       "     PhoneService     MultipleLines InternetService  ... DeviceProtection  \\\n",
-       "0              No  No phone service             DSL  ...               No   \n",
-       "1             Yes                No             DSL  ...              Yes   \n",
-       "2             Yes                No             DSL  ...               No   \n",
-       "3              No  No phone service             DSL  ...              Yes   \n",
-       "4             Yes                No     Fiber optic  ...               No   \n",
-       "...           ...               ...             ...  ...              ...   \n",
-       "7027          Yes               Yes             DSL  ...              Yes   \n",
-       "7028          Yes               Yes     Fiber optic  ...              Yes   \n",
-       "7029           No  No phone service             DSL  ...               No   \n",
-       "7030          Yes               Yes     Fiber optic  ...               No   \n",
-       "7031          Yes                No     Fiber optic  ...              Yes   \n",
-       "\n",
-       "     TechSupport StreamingTV StreamingMovies        Contract PaperlessBilling  \\\n",
-       "0             No          No              No  Month-to-month              Yes   \n",
-       "1             No          No              No        One year               No   \n",
-       "2             No          No              No  Month-to-month              Yes   \n",
-       "3            Yes          No              No        One year               No   \n",
-       "4             No          No              No  Month-to-month              Yes   \n",
-       "...          ...         ...             ...             ...              ...   \n",
-       "7027         Yes         Yes             Yes        One year              Yes   \n",
-       "7028          No         Yes             Yes        One year              Yes   \n",
-       "7029          No          No              No  Month-to-month              Yes   \n",
-       "7030          No          No              No  Month-to-month              Yes   \n",
-       "7031         Yes         Yes             Yes        Two year              Yes   \n",
-       "\n",
-       "                  PaymentMethod MonthlyCharges TotalCharges  Churn  \n",
-       "0              Electronic check          29.85        29.85     No  \n",
-       "1                  Mailed check          56.95      1889.50     No  \n",
-       "2                  Mailed check          53.85       108.15    Yes  \n",
-       "3     Bank transfer (automatic)          42.30      1840.75     No  \n",
-       "4              Electronic check          70.70       151.65    Yes  \n",
-       "...                         ...            ...          ...    ...  \n",
-       "7027               Mailed check          84.80      1990.50     No  \n",
-       "7028    Credit card (automatic)         103.20      7362.90     No  \n",
-       "7029           Electronic check          29.60       346.45     No  \n",
-       "7030               Mailed check          74.40       306.60    Yes  \n",
-       "7031  Bank transfer (automatic)         105.65      6844.50     No  \n",
-       "\n",
-       "[7032 rows x 22 columns]"
-      ]
-     },
-     "execution_count": 10,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "data = data.reset_index()\n",
-    "data\n",
-    "\n",
-    "#Pandas reset_index() is a method to reset index of a Data Frame. \n",
-    "#reset_index() method sets a list of integer ranging from 0 to length of data as index."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 11,
-   "id": "8b145d67",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "Index(['customerID', 'gender', 'Partner', 'Dependents', 'PhoneService',\n",
-       "       'MultipleLines', 'InternetService', 'OnlineSecurity', 'OnlineBackup',\n",
-       "       'DeviceProtection', 'TechSupport', 'StreamingTV', 'StreamingMovies',\n",
-       "       'Contract', 'PaperlessBilling', 'PaymentMethod', 'Churn'],\n",
-       "      dtype='object')"
-      ]
-     },
-     "execution_count": 11,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "#extratcing columns names with \"object\" Datatype\n",
-    "cols = data.select_dtypes(include=['object']).columns\n",
-    "cols\n",
-    "# 17 object data types are present"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 12,
-   "id": "f0b567d6",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "#copying datset\n",
-    "data2 = data.copy()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 13,
-   "id": "b6e27dc6",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "<class 'pandas.core.frame.DataFrame'>\n",
-      "RangeIndex: 7032 entries, 0 to 7031\n",
-      "Data columns (total 22 columns):\n",
-      " #   Column            Non-Null Count  Dtype  \n",
-      "---  ------            --------------  -----  \n",
-      " 0   index             7032 non-null   int64  \n",
-      " 1   customerID        7032 non-null   int32  \n",
-      " 2   gender            7032 non-null   int32  \n",
-      " 3   SeniorCitizen     7032 non-null   int64  \n",
-      " 4   Partner           7032 non-null   int32  \n",
-      " 5   Dependents        7032 non-null   int32  \n",
-      " 6   tenure            7032 non-null   int64  \n",
-      " 7   PhoneService      7032 non-null   int32  \n",
-      " 8   MultipleLines     7032 non-null   int32  \n",
-      " 9   InternetService   7032 non-null   int32  \n",
-      " 10  OnlineSecurity    7032 non-null   int32  \n",
-      " 11  OnlineBackup      7032 non-null   int32  \n",
-      " 12  DeviceProtection  7032 non-null   int32  \n",
-      " 13  TechSupport       7032 non-null   int32  \n",
-      " 14  StreamingTV       7032 non-null   int32  \n",
-      " 15  StreamingMovies   7032 non-null   int32  \n",
-      " 16  Contract          7032 non-null   int32  \n",
-      " 17  PaperlessBilling  7032 non-null   int32  \n",
-      " 18  PaymentMethod     7032 non-null   int32  \n",
-      " 19  MonthlyCharges    7032 non-null   float64\n",
-      " 20  TotalCharges      7032 non-null   float64\n",
-      " 21  Churn             7032 non-null   int32  \n",
-      "dtypes: float64(2), int32(17), int64(3)\n",
-      "memory usage: 741.8 KB\n",
-      "None\n"
-     ]
-    }
-   ],
-   "source": [
-    "#import the LabelEncoder class from the sklearn library,\n",
-    "from sklearn.preprocessing import LabelEncoder\n",
-    "\n",
-    "#making instance of labelnecoder\n",
-    "le = LabelEncoder()\n",
-    "\n",
-    "\n",
-    "#Label Encoding is a popular encoding technique for handling categorical variables.\n",
-    "#In this technique, each label is assigned a unique integer based on alphabetical ordering\n",
-    "#It can also be used to transform non-numerical labels to numerical labels.\n",
-    "\n",
-    "\n",
-    "for i in cols:\n",
-    "    data2[i] = le.fit_transform(data2[i])\n",
-    "    \n",
-    "#fit and transform the object data, and then replace the existing text data with the new encoded data.\n",
-    "\n",
-    "# checking the datatypes chnges or not\n",
-    "print (data2.info())"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 14,
-   "id": "2051b0f0",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>index</th>\n",
-       "      <th>customerID</th>\n",
-       "      <th>gender</th>\n",
-       "      <th>SeniorCitizen</th>\n",
-       "      <th>Partner</th>\n",
-       "      <th>Dependents</th>\n",
-       "      <th>tenure</th>\n",
-       "      <th>PhoneService</th>\n",
-       "      <th>MultipleLines</th>\n",
-       "      <th>InternetService</th>\n",
-       "      <th>...</th>\n",
-       "      <th>DeviceProtection</th>\n",
-       "      <th>TechSupport</th>\n",
-       "      <th>StreamingTV</th>\n",
-       "      <th>StreamingMovies</th>\n",
-       "      <th>Contract</th>\n",
-       "      <th>PaperlessBilling</th>\n",
-       "      <th>PaymentMethod</th>\n",
-       "      <th>MonthlyCharges</th>\n",
-       "      <th>TotalCharges</th>\n",
-       "      <th>Churn</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>0</td>\n",
-       "      <td>5365</td>\n",
-       "      <td>0</td>\n",
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-       "      <td>0</td>\n",
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-       "      <td>0</td>\n",
-       "      <td>...</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>1</td>\n",
-       "      <td>2</td>\n",
-       "      <td>29.85</td>\n",
-       "      <td>29.85</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>1</td>\n",
-       "      <td>3953</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>34</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>...</td>\n",
-       "      <td>2</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "      <td>3</td>\n",
-       "      <td>56.95</td>\n",
-       "      <td>1889.50</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>2</td>\n",
-       "      <td>2558</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>2</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>...</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>1</td>\n",
-       "      <td>3</td>\n",
-       "      <td>53.85</td>\n",
-       "      <td>108.15</td>\n",
-       "      <td>1</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>3</td>\n",
-       "      <td>5524</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>45</td>\n",
-       "      <td>0</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "      <td>...</td>\n",
-       "      <td>2</td>\n",
-       "      <td>2</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>42.30</td>\n",
-       "      <td>1840.75</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>4</td>\n",
-       "      <td>6500</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>2</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "      <td>1</td>\n",
-       "      <td>...</td>\n",
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-       "      <td>0</td>\n",
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-       "      <td>0</td>\n",
-       "      <td>1</td>\n",
-       "      <td>2</td>\n",
-       "      <td>70.70</td>\n",
-       "      <td>151.65</td>\n",
-       "      <td>1</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "<p>5 rows × 22 columns</p>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "   index  customerID  gender  SeniorCitizen  Partner  Dependents  tenure  \\\n",
-       "0      0        5365       0              0        1           0       1   \n",
-       "1      1        3953       1              0        0           0      34   \n",
-       "2      2        2558       1              0        0           0       2   \n",
-       "3      3        5524       1              0        0           0      45   \n",
-       "4      4        6500       0              0        0           0       2   \n",
-       "\n",
-       "   PhoneService  MultipleLines  InternetService  ...  DeviceProtection  \\\n",
-       "0             0              1                0  ...                 0   \n",
-       "1             1              0                0  ...                 2   \n",
-       "2             1              0                0  ...                 0   \n",
-       "3             0              1                0  ...                 2   \n",
-       "4             1              0                1  ...                 0   \n",
-       "\n",
-       "   TechSupport  StreamingTV  StreamingMovies  Contract  PaperlessBilling  \\\n",
-       "0            0            0                0         0                 1   \n",
-       "1            0            0                0         1                 0   \n",
-       "2            0            0                0         0                 1   \n",
-       "3            2            0                0         1                 0   \n",
-       "4            0            0                0         0                 1   \n",
-       "\n",
-       "   PaymentMethod  MonthlyCharges  TotalCharges  Churn  \n",
-       "0              2           29.85         29.85      0  \n",
-       "1              3           56.95       1889.50      0  \n",
-       "2              3           53.85        108.15      1  \n",
-       "3              0           42.30       1840.75      0  \n",
-       "4              2           70.70        151.65      1  \n",
-       "\n",
-       "[5 rows x 22 columns]"
-      ]
-     },
-     "execution_count": 14,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "data2.head()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 15,
-   "id": "694b1ab5",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "#Pandas profiling is an open source Python module with which we can quickly do an\n",
-    "#exploratory data analysis with just a few lines of code.\n",
-    "\n",
-    "\n",
-    "import pandas_profiling\n",
-    "\n",
-    "# SweetViz\n",
-    "# Pandas-Profiling\n",
-    "# Sweetviz\n",
-    "# Autoviz\n",
-    "# D-Tale"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 16,
-   "id": "8f03c4a7",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
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-       "model_id": "ed2a3f58d6234b028179f208a2d34cae",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "Summarize dataset:   0%|          | 0/35 [00:00<?, ?it/s]"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
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-      "text/plain": [
-       "Generate report structure:   0%|          | 0/1 [00:00<?, ?it/s]"
-      ]
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.navbar-brand,.navbar-inverse .navbar-nav&gt;li&gt;a{text-shadow:0 -1px 0 rgba(0,0,0,.25)}.navbar-fixed-bottom,.navbar-fixed-top,.navbar-static-top{border-radius:0}@media (max-width:767px){.navbar .navbar-nav .open .dropdown-menu&gt;.active&gt;a,.navbar .navbar-nav .open .dropdown-menu&gt;.active&gt;a:focus,.navbar .navbar-nav .open .dropdown-menu&gt;.active&gt;a:hover{color:#fff;background-image:-webkit-linear-gradient(top,#337ab7 0,#2e6da4 100%);background-image:-o-linear-gradient(top,#337ab7 0,#2e6da4 100%);background-image:-webkit-gradient(linear,left top,left bottom,from(#337ab7),to(#2e6da4));background-image:linear-gradient(to bottom,#337ab7 0,#2e6da4 100%);filter:progid:DXImageTransform.Microsoft.gradient(startColorstr=&#x27;#ff337ab7&#x27;, endColorstr=&#x27;#ff2e6da4&#x27;, GradientType=0);background-repeat:repeat-x}}.alert{text-shadow:0 1px 0 rgba(255,255,255,.2);-webkit-box-shadow:inset 0 1px 0 rgba(255,255,255,.25),0 1px 2px rgba(0,0,0,.05);box-shadow:inset 0 1px 0 rgba(255,255,255,.25),0 1px 2px rgba(0,0,0,.05)}.alert-success{background-image:-webkit-linear-gradient(top,#dff0d8 0,#c8e5bc 100%);background-image:-o-linear-gradient(top,#dff0d8 0,#c8e5bc 100%);background-image:-webkit-gradient(linear,left top,left bottom,from(#dff0d8),to(#c8e5bc));background-image:linear-gradient(to bottom,#dff0d8 0,#c8e5bc 100%);filter:progid:DXImageTransform.Microsoft.gradient(startColorstr=&#x27;#ffdff0d8&#x27;, endColorstr=&#x27;#ffc8e5bc&#x27;, GradientType=0);background-repeat:repeat-x;border-color:#b2dba1}.alert-info{background-image:-webkit-linear-gradient(top,#d9edf7 0,#b9def0 100%);background-image:-o-linear-gradient(top,#d9edf7 0,#b9def0 100%);background-image:-webkit-gradient(linear,left top,left bottom,from(#d9edf7),to(#b9def0));background-image:linear-gradient(to bottom,#d9edf7 0,#b9def0 100%);filter:progid:DXImageTransform.Microsoft.gradient(startColorstr=&#x27;#ffd9edf7&#x27;, endColorstr=&#x27;#ffb9def0&#x27;, 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100%);background-image:-webkit-gradient(linear,left top,left bottom,from(#337ab7),to(#2b669a));background-image:linear-gradient(to bottom,#337ab7 0,#2b669a 100%);filter:progid:DXImageTransform.Microsoft.gradient(startColorstr=&#x27;#ff337ab7&#x27;, endColorstr=&#x27;#ff2b669a&#x27;, GradientType=0);background-repeat:repeat-x;border-color:#2b669a}.list-group-item.active .badge,.list-group-item.active:focus .badge,.list-group-item.active:hover .badge{text-shadow:none}.panel{-webkit-box-shadow:0 1px 2px rgba(0,0,0,.05);box-shadow:0 1px 2px rgba(0,0,0,.05)}.panel-default&gt;.panel-heading{background-image:-webkit-linear-gradient(top,#f5f5f5 0,#e8e8e8 100%);background-image:-o-linear-gradient(top,#f5f5f5 0,#e8e8e8 100%);background-image:-webkit-gradient(linear,left top,left bottom,from(#f5f5f5),to(#e8e8e8));background-image:linear-gradient(to bottom,#f5f5f5 0,#e8e8e8 100%);filter:progid:DXImageTransform.Microsoft.gradient(startColorstr=&#x27;#fff5f5f5&#x27;, endColorstr=&#x27;#ffe8e8e8&#x27;, GradientType=0);background-repeat:repeat-x}.panel-primary&gt;.panel-heading{background-image:-webkit-linear-gradient(top,#337ab7 0,#2e6da4 100%);background-image:-o-linear-gradient(top,#337ab7 0,#2e6da4 100%);background-image:-webkit-gradient(linear,left top,left bottom,from(#337ab7),to(#2e6da4));background-image:linear-gradient(to bottom,#337ab7 0,#2e6da4 100%);filter:progid:DXImageTransform.Microsoft.gradient(startColorstr=&#x27;#ff337ab7&#x27;, endColorstr=&#x27;#ff2e6da4&#x27;, GradientType=0);background-repeat:repeat-x}.panel-success&gt;.panel-heading{background-image:-webkit-linear-gradient(top,#dff0d8 0,#d0e9c6 100%);background-image:-o-linear-gradient(top,#dff0d8 0,#d0e9c6 100%);background-image:-webkit-gradient(linear,left top,left bottom,from(#dff0d8),to(#d0e9c6));background-image:linear-gradient(to bottom,#dff0d8 0,#d0e9c6 100%);filter:progid:DXImageTransform.Microsoft.gradient(startColorstr=&#x27;#ffdff0d8&#x27;, endColorstr=&#x27;#ffd0e9c6&#x27;, GradientType=0);background-repeat:repeat-x}.panel-info&gt;.panel-heading{background-image:-webkit-linear-gradient(top,#d9edf7 0,#c4e3f3 100%);background-image:-o-linear-gradient(top,#d9edf7 0,#c4e3f3 100%);background-image:-webkit-gradient(linear,left top,left bottom,from(#d9edf7),to(#c4e3f3));background-image:linear-gradient(to bottom,#d9edf7 0,#c4e3f3 100%);filter:progid:DXImageTransform.Microsoft.gradient(startColorstr=&#x27;#ffd9edf7&#x27;, endColorstr=&#x27;#ffc4e3f3&#x27;, GradientType=0);background-repeat:repeat-x}.panel-warning&gt;.panel-heading{background-image:-webkit-linear-gradient(top,#fcf8e3 0,#faf2cc 100%);background-image:-o-linear-gradient(top,#fcf8e3 0,#faf2cc 100%);background-image:-webkit-gradient(linear,left top,left bottom,from(#fcf8e3),to(#faf2cc));background-image:linear-gradient(to bottom,#fcf8e3 0,#faf2cc 100%);filter:progid:DXImageTransform.Microsoft.gradient(startColorstr=&#x27;#fffcf8e3&#x27;, endColorstr=&#x27;#fffaf2cc&#x27;, GradientType=0);background-repeat:repeat-x}.panel-danger&gt;.panel-heading{background-image:-webkit-linear-gradient(top,#f2dede 0,#ebcccc 100%);background-image:-o-linear-gradient(top,#f2dede 0,#ebcccc 100%);background-image:-webkit-gradient(linear,left top,left bottom,from(#f2dede),to(#ebcccc));background-image:linear-gradient(to bottom,#f2dede 0,#ebcccc 100%);filter:progid:DXImageTransform.Microsoft.gradient(startColorstr=&#x27;#fff2dede&#x27;, endColorstr=&#x27;#ffebcccc&#x27;, GradientType=0);background-repeat:repeat-x}.well{background-image:-webkit-linear-gradient(top,#e8e8e8 0,#f5f5f5 100%);background-image:-o-linear-gradient(top,#e8e8e8 0,#f5f5f5 100%);background-image:-webkit-gradient(linear,left top,left bottom,from(#e8e8e8),to(#f5f5f5));background-image:linear-gradient(to bottom,#e8e8e8 0,#f5f5f5 100%);filter:progid:DXImageTransform.Microsoft.gradient(startColorstr=&#x27;#ffe8e8e8&#x27;, endColorstr=&#x27;#fff5f5f5&#x27;, GradientType=0);background-repeat:repeat-x;border-color:#dcdcdc;-webkit-box-shadow:inset 0 1px 3px rgba(0,0,0,.05),0 1px 0 rgba(255,255,255,.1);box-shadow:inset 0 1px 3px rgba(0,0,0,.05),0 1px 0 rgba(255,255,255,.1)}\n",
-       "/*# sourceMappingURL=bootstrap-theme.min.css.map */        &lt;/style&gt;&lt;style&gt;body {\n",
-       "  padding-top: 80px;\n",
-       "}\n",
-       ".content .container-fluid{\n",
-       "    margin-left: 20px !important;\n",
-       "    margin-right: 20px !important;\n",
-       "    margin-bottom: 20px;\n",
-       "}\n",
-       "\n",
-       ".page-header{\n",
-       "    border:0 !important;\n",
-       "}\n",
-       "\n",
-       ".row.variable, .section-items &gt; .row {\n",
-       "    border: 1px solid #e1e1e8;\n",
-       "    border-top: hidden;\n",
-       "}\n",
-       "\n",
-       ".row.spacing{\n",
-       "    padding: 2em 1em;\n",
-       "}\n",
-       "\n",
-       ".row.header {\n",
-       "    border-bottom: 1px solid #e1e1e8;\n",
-       "    /*background-color: #f5f5f5;*/\n",
-       "    padding-left: 2em;\n",
-       "}\n",
-       "\n",
-       "\n",
-       ".dl-horizontal dt {\n",
-       "    text-align: left;\n",
-       "    padding-right: 1em;\n",
-       "    white-space: normal;\n",
-       "}\n",
-       "\n",
-       ".dl-horizontal dd {\n",
-       "    margin-left: 0;\n",
-       "}\n",
-       "\n",
-       ".col-md-12 {\n",
-       "    padding-left: 2em;\n",
-       "}\n",
-       "\n",
-       ".indent {\n",
-       "    margin-left: 1em;\n",
-       "}\n",
-       "\n",
-       ".center-img {\n",
-       "    margin-left: auto !important;\n",
-       "    margin-right: auto !important;\n",
-       "    display: block;\n",
-       "}\n",
-       "\n",
-       "/* Table example_values */\n",
-       "table.example_values {\n",
-       "    border: 0;\n",
-       "}\n",
-       "\n",
-       ".example_values th {\n",
-       "    border: 0;\n",
-       "    padding: 0;\n",
-       "    color: #555;\n",
-       "    font-weight: 600;\n",
-       "}\n",
-       "\n",
-       ".example_values tr, .example_values td {\n",
-       "    border: 0;\n",
-       "    padding: 0;\n",
-       "    color: #555;\n",
-       "}\n",
-       "\n",
-       "/* STATS */\n",
-       "table.stats, table.sample, table.duplicate{\n",
-       "    border: 0;\n",
-       "}\n",
-       "\n",
-       ".stats tr, .sample tr, .duplicate tr {\n",
-       "    border: 0;\n",
-       "}\n",
-       "\n",
-       ".stats th, .stats td{\n",
-       "    color: #555;\n",
-       "    border: 0;\n",
-       "}\n",
-       "\n",
-       ".stats th {\n",
-       "    padding: 0 2em 0 0;\n",
-       "    font-weight: 600;\n",
-       "}\n",
-       "\n",
-       ".stats td {\n",
-       "    padding: 1px;\n",
-       "}\n",
-       "\n",
-       "\n",
-       "/* Sample table */\n",
-       "table.sample, table.duplicate{\n",
-       "    margin-bottom: 2em;\n",
-       "    margin-left: 1em;\n",
-       "}\n",
-       "\n",
-       ".sample td, .sample th, .duplicate td, .duplicate th {\n",
-       "    padding: 0.5em;\n",
-       "    white-space: nowrap;\n",
-       "    border: 0;\n",
-       "\n",
-       "}\n",
-       "\n",
-       ".sample thead, .duplicate thead {\n",
-       "    border-top: 0;\n",
-       "    border-bottom: 2px solid #ddd;\n",
-       "}\n",
-       "\n",
-       ".sample td, .duplicate td {\n",
-       "    width: 100%;\n",
-       "}\n",
-       "\n",
-       "\n",
-       "/* There is no good solution available to make the divs equal height and then center ... */\n",
-       ".histogram {\n",
-       "    margin-top: 3em;\n",
-       "}\n",
-       "\n",
-       "/* Freq table */\n",
-       "table.freq {\n",
-       "    margin-bottom: 2em;\n",
-       "    border: 0;\n",
-       "}\n",
-       "\n",
-       "table.freq th, table.freq tr, table.freq td {\n",
-       "    border: 0;\n",
-       "    padding: 0;\n",
-       "}\n",
-       "\n",
-       ".freq thead {\n",
-       "    font-weight: 600;\n",
-       "    white-space: nowrap;\n",
-       "    overflow: hidden;\n",
-       "    text-overflow: ellipsis;\n",
-       "\n",
-       "}\n",
-       "\n",
-       "/* Freq mini */\n",
-       ".freq.mini td {\n",
-       "    width: 50%;\n",
-       "    padding: 1px;\n",
-       "    font-size: 12px;\n",
-       "\n",
-       "}\n",
-       "\n",
-       "table.freq.mini {\n",
-       "    width: 100%;\n",
-       "}\n",
-       "\n",
-       ".freq.mini th {\n",
-       "    overflow: hidden;\n",
-       "    text-overflow: ellipsis;\n",
-       "    white-space: nowrap;\n",
-       "    max-width: 5em;\n",
-       "    font-weight: 400;\n",
-       "    text-align: right;\n",
-       "    padding-right: 0.5em;\n",
-       "}\n",
-       "\n",
-       "/* Message classes */\n",
-       ".missing {\n",
-       "    color: #a94442;\n",
-       "}\n",
-       "\n",
-       ".alert, .alert &gt; th, .alert &gt; td {\n",
-       "    color: #a94442;\n",
-       "}\n",
-       "\n",
-       ".ignore {\n",
-       "    opacity: 0.4;\n",
-       "}\n",
-       "\n",
-       "/* Bars in tables */\n",
-       ".freq.table{\n",
-       "    table-layout: fixed;\n",
-       "}\n",
-       "\n",
-       ".freq:not(.mini) tr td:nth-child(1), .freq:not(.mini) tr th:nth-child(1){\n",
-       "    width: auto;\n",
-       "    max-width: none;\n",
-       "\n",
-       "    white-space: nowrap;\n",
-       "    overflow: hidden;\n",
-       "    text-overflow: ellipsis;\n",
-       "}\n",
-       "\n",
-       ".freq:not(.mini) tr td:nth-child(2), .freq:not(.mini) tr td:nth-child(3), .freq:not(.mini) tr th:nth-child(2), .freq:not(.mini) tr th:nth-child(3){\n",
-       "    width: 100px;\n",
-       "    text-align: right;\n",
-       "}\n",
-       ".freq:not(.mini) tr td:nth-child(4), .freq:not(.mini) tr th:nth-child(4){\n",
-       "    width:200px;\n",
-       "}\n",
-       "\n",
-       ".freq .bar {\n",
-       "    float: left;\n",
-       "    width: 0;\n",
-       "    height: 100%;\n",
-       "    line-height: 20px;\n",
-       "    color: #fff;\n",
-       "    text-align: center;\n",
-       "    background-color: #337ab7;\n",
-       "    border-radius: 3px;\n",
-       "    margin-right: 4px;\n",
-       "}\n",
-       "\n",
-       ".other .bar {\n",
-       "    background-color: #999;\n",
-       "}\n",
-       "\n",
-       ".missing .bar {\n",
-       "    background-color: #a94442;\n",
-       "}\n",
-       "\n",
-       ".tooltip-inner {\n",
-       "    width: 100%;\n",
-       "    white-space: nowrap;\n",
-       "    text-align: left;\n",
-       "}\n",
-       "\n",
-       ".extrapadding {\n",
-       "    padding: 2em;\n",
-       "}\n",
-       "\n",
-       ".variable .h4 {\n",
-       "    text-overflow: ellipsis;\n",
-       "    display:inline-block;\n",
-       "    width: calc(90%); /* The trick is here! */\n",
-       "    overflow:hidden;\n",
-       "}\n",
-       "\n",
-       ".variable.ignore .h4{\n",
-       "    text-decoration: line-through;\n",
-       "}\n",
-       "\n",
-       ".table-responsive{\n",
-       "    overflow: scroll;\n",
-       "    width: 100%;\n",
-       "    overflow-y: hidden;\n",
-       "}\n",
-       ".img-responsive{\n",
-       "    max-width: 99%;\n",
-       "}\n",
-       ".footer-text{\n",
-       "    padding:20px;\n",
-       "}\n",
-       "\n",
-       "table.list-warnings td{\n",
-       "    padding-right:10px;\n",
-       "}\n",
-       "\n",
-       "a.anchor-pos {\n",
-       "    display: block;\n",
-       "    position: relative;\n",
-       "    top: -70px;\n",
-       "    visibility: hidden;\n",
-       "}\n",
-       "\n",
-       "a.anchor-pos-variable{\n",
-       "    /*top: -70px;*/\n",
-       "}\n",
-       "\n",
-       "#sample-container, #duplicate-container{\n",
-       "    overflow: auto;\n",
-       "    width: 100%;\n",
-       "    overflow-y: hidden;\n",
-       "}\n",
-       "\n",
-       "#overview-content td, #overview-content th{\n",
-       "    border-top: 0;\n",
-       "    line-height: 1;\n",
-       "}\n",
-       "\n",
-       ".variable-description{\n",
-       "    color: #777;\n",
-       "    font-size: 10pt;\n",
-       "    margin-top: 10px;\n",
-       "    font-style: italic;\n",
-       "}\n",
-       "\n",
-       "select.multiple{\n",
-       "    width: 180px;\n",
-       "    height: 500px;\n",
-       "    margin: 10px 0;\n",
-       "}\n",
-       "\n",
-       ".named-list-item{\n",
-       "    padding: 1em;\n",
-       "}\n",
-       "\n",
-       "/* not printing tabs */\n",
-       "@media print {\n",
-       "    .tab-content &gt; .tab-pane, .collapse {\n",
-       "        display: block !important;\n",
-       "        opacity: 1 !important;\n",
-       "        visibility: visible !important;\n",
-       "        /*page-break-after: always;*/\n",
-       "        page-break-after: right;\n",
-       "        page-break-before: avoid;\n",
-       "    }\n",
-       "\n",
-       "    .nav-pills, .nav-tabs, button[data-toggle=&quot;collapse&quot;], .mini, .col-sm-3 img {\n",
-       "        display:none !important;\n",
-       "    }\n",
-       "\n",
-       "    a[download=&quot;config.yml&quot;]:after {\n",
-       "        content: none !important;\n",
-       "    }\n",
-       "\n",
-       "    .row {\n",
-       "        border: 0 !important;\n",
-       "    }\n",
-       "}\n",
-       "\n",
-       ".text-placeholder {\n",
-       "    display: inline-block;\n",
-       "    background-color: #444;\n",
-       "    height: 12px;\n",
-       "    border-radius: 100px;\n",
-       "    margin: 5px 0;\n",
-       "    min-width: 200px;\n",
-       "    opacity: .1;\n",
-       "}&lt;/style&gt;&lt;/head&gt;&lt;body&gt;&lt;a class=anchor-pos id=top&gt;&lt;/a&gt;&lt;nav class=&quot;navbar navbar-default navbar-fixed-top&quot;&gt;&lt;div class=container-fluid&gt;&lt;div class=navbar-header&gt;&lt;button type=button class=&quot;navbar-toggle collapsed&quot; data-toggle=collapse data-target=#navbar aria-expanded=false aria-controls=navbar&gt;&lt;span class=sr-only&gt;Toggle navigation&lt;/span&gt;&lt;span class=icon-bar&gt;&lt;/span&gt;&lt;span class=icon-bar&gt;&lt;/span&gt;&lt;span class=icon-bar&gt;&lt;/span&gt;&lt;/button&gt;&lt;a class=&quot;navbar-brand anchor&quot; href=#top&gt;Pandas Profiling Report&lt;/a&gt;&lt;/div&gt;&lt;div id=navbar class=&quot;navbar-collapse collapse&quot;&gt;&lt;ul class=&quot;nav navbar-nav navbar-right&quot;&gt;&lt;li&gt;&lt;a class=anchor href=#overview&gt;Overview&lt;/a&gt;&lt;/li&gt;&lt;li&gt;&lt;a class=anchor href=#variables&gt;Variables&lt;/a&gt;&lt;/li&gt;&lt;li&gt;&lt;a class=anchor href=#interactions&gt;Interactions&lt;/a&gt;&lt;/li&gt;&lt;li&gt;&lt;a class=anchor href=#correlations&gt;Correlations&lt;/a&gt;&lt;/li&gt;&lt;li&gt;&lt;a class=anchor href=#missing&gt;Missing values&lt;/a&gt;&lt;/li&gt;&lt;li&gt;&lt;a class=anchor href=#sample&gt;Sample&lt;/a&gt;&lt;/li&gt;&lt;/ul&gt;&lt;/div&gt;&lt;/div&gt;&lt;/nav&gt;&lt;div class=content&gt;&lt;div class=container&gt;&lt;div class=&quot;row header&quot;&gt;&lt;a class=anchor-pos id=overview&gt;&lt;/a&gt;&lt;h1 class=page-header&gt;Overview&lt;/h1&gt;&lt;/div&gt;&lt;div class=section-items&gt;&lt;div class=&quot;row spacing&quot;&gt;&lt;ul class=&quot;nav nav-pills&quot; role=tablist&gt;&lt;li role=presentation class=active&gt;&lt;a href=#overview-dataset_overview aria-controls=overview-dataset_overview role=tab data-toggle=tab&gt;Overview&lt;/a&gt;&lt;/li&gt;&lt;li role=presentation&gt;&lt;a href=#overview-warnings aria-controls=overview-warnings role=tab data-toggle=tab&gt;Warnings &lt;span class=badge&gt;39&lt;/span&gt;&lt;/a&gt;&lt;/li&gt;&lt;li role=presentation&gt;&lt;a href=#overview-reproduction aria-controls=overview-reproduction role=tab data-toggle=tab&gt;Reproduction&lt;/a&gt;&lt;/li&gt;&lt;/ul&gt;&lt;div class=tab-content style=&quot;padding-top: 10px;&quot;&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12 active&quot; id=overview-dataset_overview&gt;&lt;div class=col-sm-6&gt;&lt;p class=h4&gt;Dataset statistics&lt;/p&gt;&lt;table class=&quot;table table-condensed stats&quot;&gt;&lt;tbody&gt;&lt;tr&gt;&lt;th&gt;Number of variables&lt;/th&gt;&lt;td&gt;22&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Number of observations&lt;/th&gt;&lt;td&gt;7032&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Missing cells&lt;/th&gt;&lt;td&gt;0&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Missing cells (%)&lt;/th&gt;&lt;td&gt;0.0%&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Duplicate rows&lt;/th&gt;&lt;td&gt;0&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Duplicate rows (%)&lt;/th&gt;&lt;td&gt;0.0%&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Total size in memory&lt;/th&gt;&lt;td&gt;741.8 KiB&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Average record size in memory&lt;/th&gt;&lt;td&gt;108.0 B&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div class=col-sm-6&gt;&lt;p class=h4&gt;Variable types&lt;/p&gt;&lt;table class=&quot;table table-condensed stats&quot;&gt;&lt;tbody&gt;&lt;tr&gt;&lt;th&gt;Numeric&lt;/th&gt;&lt;td&gt;5&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Categorical&lt;/th&gt;&lt;td&gt;17&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12&quot; id=overview-warnings&gt;&lt;table class=&quot;table table-condensed list-warnings&quot;&gt;&lt;p class=h4&gt;Warnings&lt;/p&gt;&lt;tr style=border-top:0&gt;&lt;td&gt;&lt;a class=anchor href=#pp_var_5441738425803879150&gt;&lt;code&gt;tenure&lt;/code&gt;&lt;/a&gt; is highly correlated with &lt;code&gt;Contract&lt;/code&gt; and &lt;abbr title=&quot;Contract, TotalCharges&quot;&gt;1 other fields&lt;/abbr&gt;&lt;/td&gt;&lt;td&gt;&lt;span class=&quot;label label-default&quot;&gt;High correlation&lt;/span&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;td&gt;&lt;a class=anchor href=#pp_var_-3765607110300847165&gt;&lt;code&gt;Contract&lt;/code&gt;&lt;/a&gt; is highly correlated with &lt;code&gt;tenure&lt;/code&gt;&lt;/td&gt;&lt;td&gt;&lt;span class=&quot;label label-default&quot;&gt;High correlation&lt;/span&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;td&gt;&lt;a class=anchor href=#pp_var_-392675130652366039&gt;&lt;code&gt;MonthlyCharges&lt;/code&gt;&lt;/a&gt; is highly correlated with &lt;code&gt;TotalCharges&lt;/code&gt;&lt;/td&gt;&lt;td&gt;&lt;span class=&quot;label label-default&quot;&gt;High correlation&lt;/span&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;td&gt;&lt;a class=anchor href=#pp_var_-2226482771532373306&gt;&lt;code&gt;TotalCharges&lt;/code&gt;&lt;/a&gt; is highly correlated with &lt;code&gt;tenure&lt;/code&gt; and &lt;abbr title=&quot;tenure, MonthlyCharges&quot;&gt;1 other fields&lt;/abbr&gt;&lt;/td&gt;&lt;td&gt;&lt;span class=&quot;label label-default&quot;&gt;High correlation&lt;/span&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;td&gt;&lt;a class=anchor href=#pp_var_5441738425803879150&gt;&lt;code&gt;tenure&lt;/code&gt;&lt;/a&gt; is highly correlated with &lt;code&gt;Contract&lt;/code&gt; and &lt;abbr title=&quot;Contract, TotalCharges&quot;&gt;1 other fields&lt;/abbr&gt;&lt;/td&gt;&lt;td&gt;&lt;span class=&quot;label label-default&quot;&gt;High correlation&lt;/span&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;td&gt;&lt;a class=anchor href=#pp_var_-3765607110300847165&gt;&lt;code&gt;Contract&lt;/code&gt;&lt;/a&gt; is highly correlated with &lt;code&gt;tenure&lt;/code&gt;&lt;/td&gt;&lt;td&gt;&lt;span class=&quot;label label-default&quot;&gt;High correlation&lt;/span&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;td&gt;&lt;a class=anchor href=#pp_var_-392675130652366039&gt;&lt;code&gt;MonthlyCharges&lt;/code&gt;&lt;/a&gt; is highly correlated with &lt;code&gt;TotalCharges&lt;/code&gt;&lt;/td&gt;&lt;td&gt;&lt;span class=&quot;label label-default&quot;&gt;High correlation&lt;/span&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;td&gt;&lt;a class=anchor href=#pp_var_-2226482771532373306&gt;&lt;code&gt;TotalCharges&lt;/code&gt;&lt;/a&gt; is highly correlated with &lt;code&gt;tenure&lt;/code&gt; and &lt;abbr title=&quot;tenure, MonthlyCharges&quot;&gt;1 other fields&lt;/abbr&gt;&lt;/td&gt;&lt;td&gt;&lt;span class=&quot;label label-default&quot;&gt;High correlation&lt;/span&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;td&gt;&lt;a class=anchor href=#pp_var_5441738425803879150&gt;&lt;code&gt;tenure&lt;/code&gt;&lt;/a&gt; is highly correlated with &lt;code&gt;Contract&lt;/code&gt; and &lt;abbr title=&quot;Contract, TotalCharges&quot;&gt;1 other fields&lt;/abbr&gt;&lt;/td&gt;&lt;td&gt;&lt;span class=&quot;label label-default&quot;&gt;High correlation&lt;/span&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;td&gt;&lt;a class=anchor href=#pp_var_-3765607110300847165&gt;&lt;code&gt;Contract&lt;/code&gt;&lt;/a&gt; is highly correlated with &lt;code&gt;tenure&lt;/code&gt;&lt;/td&gt;&lt;td&gt;&lt;span class=&quot;label label-default&quot;&gt;High correlation&lt;/span&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;td&gt;&lt;a class=anchor href=#pp_var_-2226482771532373306&gt;&lt;code&gt;TotalCharges&lt;/code&gt;&lt;/a&gt; is highly correlated with &lt;code&gt;tenure&lt;/code&gt;&lt;/td&gt;&lt;td&gt;&lt;span class=&quot;label label-default&quot;&gt;High correlation&lt;/span&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;td&gt;&lt;a class=anchor href=#pp_var_7383371575565904577&gt;&lt;code&gt;StreamingMovies&lt;/code&gt;&lt;/a&gt; is highly correlated with &lt;code&gt;Contract&lt;/code&gt; and &lt;abbr title=&quot;Contract, TotalCharges, OnlineSecurity, InternetService, OnlineBackup, StreamingTV, MonthlyCharges, DeviceProtection, TechSupport, MultipleLines&quot;&gt;9 other fields&lt;/abbr&gt;&lt;/td&gt;&lt;td&gt;&lt;span class=&quot;label label-default&quot;&gt;High correlation&lt;/span&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;td&gt;&lt;a class=anchor href=#pp_var_-3765607110300847165&gt;&lt;code&gt;Contract&lt;/code&gt;&lt;/a&gt; is highly correlated with &lt;code&gt;StreamingMovies&lt;/code&gt; and &lt;abbr title=&quot;StreamingMovies, TotalCharges, OnlineSecurity, InternetService, OnlineBackup, StreamingTV, DeviceProtection, tenure, TechSupport&quot;&gt;8 other fields&lt;/abbr&gt;&lt;/td&gt;&lt;td&gt;&lt;span class=&quot;label label-default&quot;&gt;High correlation&lt;/span&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;td&gt;&lt;a class=anchor href=#pp_var_-2226482771532373306&gt;&lt;code&gt;TotalCharges&lt;/code&gt;&lt;/a&gt; is highly correlated with &lt;code&gt;StreamingMovies&lt;/code&gt; and &lt;abbr title=&quot;StreamingMovies, Contract, OnlineSecurity, InternetService, OnlineBackup, StreamingTV, MonthlyCharges, DeviceProtection, tenure, TechSupport&quot;&gt;9 other fields&lt;/abbr&gt;&lt;/td&gt;&lt;td&gt;&lt;span class=&quot;label label-default&quot;&gt;High correlation&lt;/span&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;td&gt;&lt;a class=anchor href=#pp_var_-6626815579810389679&gt;&lt;code&gt;OnlineSecurity&lt;/code&gt;&lt;/a&gt; is highly correlated with &lt;code&gt;StreamingMovies&lt;/code&gt; and &lt;abbr title=&quot;StreamingMovies, Contract, TotalCharges, InternetService, OnlineBackup, StreamingTV, MonthlyCharges, DeviceProtection, TechSupport, MultipleLines&quot;&gt;9 other fields&lt;/abbr&gt;&lt;/td&gt;&lt;td&gt;&lt;span class=&quot;label label-default&quot;&gt;High correlation&lt;/span&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;td&gt;&lt;a class=anchor href=#pp_var_4476884260687955866&gt;&lt;code&gt;InternetService&lt;/code&gt;&lt;/a&gt; is highly correlated with &lt;code&gt;StreamingMovies&lt;/code&gt; and &lt;abbr title=&quot;StreamingMovies, Contract, TotalCharges, OnlineSecurity, OnlineBackup, StreamingTV, MonthlyCharges, DeviceProtection, TechSupport, MultipleLines&quot;&gt;9 other fields&lt;/abbr&gt;&lt;/td&gt;&lt;td&gt;&lt;span class=&quot;label label-default&quot;&gt;High correlation&lt;/span&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;td&gt;&lt;a class=anchor href=#pp_var_-8012696920752743076&gt;&lt;code&gt;OnlineBackup&lt;/code&gt;&lt;/a&gt; is highly correlated with &lt;code&gt;StreamingMovies&lt;/code&gt; and &lt;abbr title=&quot;StreamingMovies, Contract, TotalCharges, OnlineSecurity, InternetService, StreamingTV, MonthlyCharges, DeviceProtection, TechSupport, MultipleLines&quot;&gt;9 other fields&lt;/abbr&gt;&lt;/td&gt;&lt;td&gt;&lt;span class=&quot;label label-default&quot;&gt;High correlation&lt;/span&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;td&gt;&lt;a class=anchor href=#pp_var_-9044748594099572322&gt;&lt;code&gt;Dependents&lt;/code&gt;&lt;/a&gt; is highly correlated with &lt;code&gt;Partner&lt;/code&gt;&lt;/td&gt;&lt;td&gt;&lt;span class=&quot;label label-default&quot;&gt;High correlation&lt;/span&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;td&gt;&lt;a class=anchor href=#pp_var_-1010255133606759073&gt;&lt;code&gt;PhoneService&lt;/code&gt;&lt;/a&gt; is highly correlated with &lt;code&gt;MonthlyCharges&lt;/code&gt; and &lt;abbr title=&quot;MonthlyCharges, MultipleLines&quot;&gt;1 other fields&lt;/abbr&gt;&lt;/td&gt;&lt;td&gt;&lt;span class=&quot;label label-default&quot;&gt;High correlation&lt;/span&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;td&gt;&lt;a class=anchor href=#pp_var_-7110605292481775002&gt;&lt;code&gt;StreamingTV&lt;/code&gt;&lt;/a&gt; is highly correlated with &lt;code&gt;StreamingMovies&lt;/code&gt; and &lt;abbr title=&quot;StreamingMovies, Contract, TotalCharges, OnlineSecurity, InternetService, OnlineBackup, MonthlyCharges, DeviceProtection, TechSupport, MultipleLines&quot;&gt;9 other fields&lt;/abbr&gt;&lt;/td&gt;&lt;td&gt;&lt;span class=&quot;label label-default&quot;&gt;High correlation&lt;/span&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;td&gt;&lt;a class=anchor href=#pp_var_-392675130652366039&gt;&lt;code&gt;MonthlyCharges&lt;/code&gt;&lt;/a&gt; is highly correlated with &lt;code&gt;StreamingMovies&lt;/code&gt; and &lt;abbr title=&quot;StreamingMovies, TotalCharges, OnlineSecurity, InternetService, OnlineBackup, PhoneService, StreamingTV, DeviceProtection, TechSupport, MultipleLines&quot;&gt;9 other fields&lt;/abbr&gt;&lt;/td&gt;&lt;td&gt;&lt;span class=&quot;label label-default&quot;&gt;High correlation&lt;/span&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;td&gt;&lt;a class=anchor href=#pp_var_1498625929756160939&gt;&lt;code&gt;DeviceProtection&lt;/code&gt;&lt;/a&gt; is highly correlated with &lt;code&gt;StreamingMovies&lt;/code&gt; and &lt;abbr title=&quot;StreamingMovies, Contract, TotalCharges, OnlineSecurity, InternetService, OnlineBackup, StreamingTV, MonthlyCharges, TechSupport, MultipleLines&quot;&gt;9 other fields&lt;/abbr&gt;&lt;/td&gt;&lt;td&gt;&lt;span class=&quot;label label-default&quot;&gt;High correlation&lt;/span&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;td&gt;&lt;a class=anchor href=#pp_var_5441738425803879150&gt;&lt;code&gt;tenure&lt;/code&gt;&lt;/a&gt; is highly correlated with &lt;code&gt;Contract&lt;/code&gt; and &lt;abbr title=&quot;Contract, TotalCharges&quot;&gt;1 other fields&lt;/abbr&gt;&lt;/td&gt;&lt;td&gt;&lt;span class=&quot;label label-default&quot;&gt;High correlation&lt;/span&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;td&gt;&lt;a class=anchor href=#pp_var_-7370127512665051601&gt;&lt;code&gt;TechSupport&lt;/code&gt;&lt;/a&gt; is highly correlated with &lt;code&gt;StreamingMovies&lt;/code&gt; and &lt;abbr title=&quot;StreamingMovies, Contract, TotalCharges, OnlineSecurity, InternetService, OnlineBackup, StreamingTV, MonthlyCharges, DeviceProtection, MultipleLines&quot;&gt;9 other fields&lt;/abbr&gt;&lt;/td&gt;&lt;td&gt;&lt;span class=&quot;label label-default&quot;&gt;High correlation&lt;/span&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;td&gt;&lt;a class=anchor href=#pp_var_410989176366390708&gt;&lt;code&gt;MultipleLines&lt;/code&gt;&lt;/a&gt; is highly correlated with &lt;code&gt;StreamingMovies&lt;/code&gt; and &lt;abbr title=&quot;StreamingMovies, OnlineSecurity, InternetService, OnlineBackup, PhoneService, StreamingTV, MonthlyCharges, DeviceProtection, TechSupport&quot;&gt;8 other fields&lt;/abbr&gt;&lt;/td&gt;&lt;td&gt;&lt;span class=&quot;label label-default&quot;&gt;High correlation&lt;/span&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;td&gt;&lt;a class=anchor href=#pp_var_7232879844970823870&gt;&lt;code&gt;Partner&lt;/code&gt;&lt;/a&gt; is highly correlated with &lt;code&gt;Dependents&lt;/code&gt;&lt;/td&gt;&lt;td&gt;&lt;span class=&quot;label label-default&quot;&gt;High correlation&lt;/span&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;td&gt;&lt;a class=anchor href=#pp_var_7383371575565904577&gt;&lt;code&gt;StreamingMovies&lt;/code&gt;&lt;/a&gt; is highly correlated with &lt;code&gt;StreamingTV&lt;/code&gt; and &lt;abbr title=&quot;StreamingTV, DeviceProtection, TechSupport, OnlineSecurity, OnlineBackup, InternetService&quot;&gt;5 other fields&lt;/abbr&gt;&lt;/td&gt;&lt;td&gt;&lt;span class=&quot;label label-default&quot;&gt;High correlation&lt;/span&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;td&gt;&lt;a class=anchor href=#pp_var_-7110605292481775002&gt;&lt;code&gt;StreamingTV&lt;/code&gt;&lt;/a&gt; is highly correlated with &lt;code&gt;StreamingMovies&lt;/code&gt; and &lt;abbr title=&quot;StreamingMovies, DeviceProtection, TechSupport, OnlineSecurity, OnlineBackup, InternetService&quot;&gt;5 other fields&lt;/abbr&gt;&lt;/td&gt;&lt;td&gt;&lt;span class=&quot;label label-default&quot;&gt;High correlation&lt;/span&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;td&gt;&lt;a class=anchor href=#pp_var_1498625929756160939&gt;&lt;code&gt;DeviceProtection&lt;/code&gt;&lt;/a&gt; is highly correlated with &lt;code&gt;StreamingMovies&lt;/code&gt; and &lt;abbr title=&quot;StreamingMovies, StreamingTV, TechSupport, OnlineSecurity, OnlineBackup, InternetService&quot;&gt;5 other fields&lt;/abbr&gt;&lt;/td&gt;&lt;td&gt;&lt;span class=&quot;label label-default&quot;&gt;High correlation&lt;/span&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;td&gt;&lt;a class=anchor href=#pp_var_-7370127512665051601&gt;&lt;code&gt;TechSupport&lt;/code&gt;&lt;/a&gt; is highly correlated with &lt;code&gt;StreamingMovies&lt;/code&gt; and &lt;abbr title=&quot;StreamingMovies, StreamingTV, DeviceProtection, OnlineSecurity, OnlineBackup, InternetService&quot;&gt;5 other fields&lt;/abbr&gt;&lt;/td&gt;&lt;td&gt;&lt;span class=&quot;label label-default&quot;&gt;High correlation&lt;/span&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;td&gt;&lt;a class=anchor href=#pp_var_-6626815579810389679&gt;&lt;code&gt;OnlineSecurity&lt;/code&gt;&lt;/a&gt; is highly correlated with &lt;code&gt;StreamingMovies&lt;/code&gt; and &lt;abbr title=&quot;StreamingMovies, StreamingTV, DeviceProtection, TechSupport, OnlineBackup, InternetService&quot;&gt;5 other fields&lt;/abbr&gt;&lt;/td&gt;&lt;td&gt;&lt;span class=&quot;label label-default&quot;&gt;High correlation&lt;/span&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;td&gt;&lt;a class=anchor href=#pp_var_410989176366390708&gt;&lt;code&gt;MultipleLines&lt;/code&gt;&lt;/a&gt; is highly correlated with &lt;code&gt;PhoneService&lt;/code&gt;&lt;/td&gt;&lt;td&gt;&lt;span class=&quot;label label-default&quot;&gt;High correlation&lt;/span&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;td&gt;&lt;a class=anchor href=#pp_var_-8012696920752743076&gt;&lt;code&gt;OnlineBackup&lt;/code&gt;&lt;/a&gt; is highly correlated with &lt;code&gt;StreamingMovies&lt;/code&gt; and &lt;abbr title=&quot;StreamingMovies, StreamingTV, DeviceProtection, TechSupport, OnlineSecurity, InternetService&quot;&gt;5 other fields&lt;/abbr&gt;&lt;/td&gt;&lt;td&gt;&lt;span class=&quot;label label-default&quot;&gt;High correlation&lt;/span&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;td&gt;&lt;a class=anchor href=#pp_var_4476884260687955866&gt;&lt;code&gt;InternetService&lt;/code&gt;&lt;/a&gt; is highly correlated with &lt;code&gt;StreamingMovies&lt;/code&gt; and &lt;abbr title=&quot;StreamingMovies, StreamingTV, DeviceProtection, TechSupport, OnlineSecurity, OnlineBackup&quot;&gt;5 other fields&lt;/abbr&gt;&lt;/td&gt;&lt;td&gt;&lt;span class=&quot;label label-default&quot;&gt;High correlation&lt;/span&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;td&gt;&lt;a class=anchor href=#pp_var_-1010255133606759073&gt;&lt;code&gt;PhoneService&lt;/code&gt;&lt;/a&gt; is highly correlated with &lt;code&gt;MultipleLines&lt;/code&gt;&lt;/td&gt;&lt;td&gt;&lt;span class=&quot;label label-default&quot;&gt;High correlation&lt;/span&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;td&gt;&lt;a class=anchor href=#pp_var_-7327576299580197052&gt;&lt;code&gt;df_index&lt;/code&gt;&lt;/a&gt; is uniformly distributed &lt;/td&gt;&lt;td&gt;&lt;span class=&quot;label label-primary&quot;&gt;Uniform&lt;/span&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;td&gt;&lt;a class=anchor href=#pp_var_8714843578452991165&gt;&lt;code&gt;customerID&lt;/code&gt;&lt;/a&gt; is uniformly distributed &lt;/td&gt;&lt;td&gt;&lt;span class=&quot;label label-primary&quot;&gt;Uniform&lt;/span&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;td&gt;&lt;a class=anchor href=#pp_var_-7327576299580197052&gt;&lt;code&gt;df_index&lt;/code&gt;&lt;/a&gt; has unique values &lt;/td&gt;&lt;td&gt;&lt;span class=&quot;label label-primary&quot;&gt;Unique&lt;/span&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;td&gt;&lt;a class=anchor href=#pp_var_8714843578452991165&gt;&lt;code&gt;customerID&lt;/code&gt;&lt;/a&gt; has unique values &lt;/td&gt;&lt;td&gt;&lt;span class=&quot;label label-primary&quot;&gt;Unique&lt;/span&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;&lt;/div&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12&quot; id=overview-reproduction&gt;&lt;div class=col-sm-12&gt;&lt;p class=h4&gt;Reproduction&lt;/p&gt;&lt;table class=&quot;table table-condensed stats&quot;&gt;&lt;tbody&gt;&lt;tr&gt;&lt;th&gt;Analysis started&lt;/th&gt;&lt;td&gt;2021-12-04 15:27:38.122170&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Analysis finished&lt;/th&gt;&lt;td&gt;2021-12-04 15:27:58.612717&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Duration&lt;/th&gt;&lt;td&gt;20.49 seconds&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Software version&lt;/th&gt;&lt;td&gt;&lt;a href=https://github.com/pandas-profiling/pandas-profiling&gt;pandas-profiling v3.0.0&lt;/a&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Download configuration&lt;/th&gt;&lt;td&gt;&lt;a download=config.json 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-       "L 421.2 244.426136 \n",
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-       "L 421.2 10.8 \n",
-       "&quot;/&gt;&lt;/g&gt;&lt;/g&gt;&lt;/g&gt;&lt;defs&gt;&lt;clippath id=pbc1460a604&gt;&lt;rect height=233.626136 width=369.025 x=52.175 y=10.8 /&gt;&lt;/clippath&gt;&lt;/defs&gt;&lt;/svg&gt;&lt;div class=&quot;caption text-center text-muted&quot;&gt;&lt;strong&gt;Histogram with fixed size bins&lt;/strong&gt; (bins=50) &lt;/div&gt;&lt;/div&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12&quot; id=-7327576299580197052bottom--7327576299580197052common_values&gt;&lt;table class=&quot;freq table table-hover table-striped&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=0&gt;0&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.0%&gt; &amp;nbsp; &lt;/div&gt;&lt; 0.1% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=4679&gt;4679&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.0%&gt; &amp;nbsp; &lt;/div&gt;&lt; 0.1% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=6750&gt;6750&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.0%&gt; &amp;nbsp; &lt;/div&gt;&lt; 0.1% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=605&gt;605&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.0%&gt; &amp;nbsp; &lt;/div&gt;&lt; 0.1% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=2652&gt;2652&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.0%&gt; &amp;nbsp; &lt;/div&gt;&lt; 0.1% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=4695&gt;4695&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.0%&gt; &amp;nbsp; &lt;/div&gt;&lt; 0.1% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=6742&gt;6742&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.0%&gt; &amp;nbsp; &lt;/div&gt;&lt; 0.1% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=597&gt;597&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.0%&gt; &amp;nbsp; &lt;/div&gt;&lt; 0.1% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=2644&gt;2644&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.0%&gt; &amp;nbsp; &lt;/div&gt;&lt; 0.1% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=4687&gt;4687&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.0%&gt; &amp;nbsp; &lt;/div&gt;&lt; 0.1% &lt;/td&gt;&lt;/tr&gt;&lt;tr class=other&gt;&lt;td title=&quot;Other values (7022)&quot;&gt;Other values (7022)&lt;/td&gt;&lt;td&gt;7022&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 99.9% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12&quot; id=-7327576299580197052bottom--7327576299580197052extreme_values&gt;&lt;div class=&quot;row spacing&quot;&gt;&lt;ul class=&quot;nav nav-tabs&quot; role=tablist&gt;&lt;li role=presentation class=active&gt;&lt;a href=#-7327576299580197052extreme_values--7327576299580197052firstn aria-controls=-7327576299580197052extreme_values--7327576299580197052firstn role=tab data-toggle=tab&gt;Minimum 5 values&lt;/a&gt;&lt;/li&gt;&lt;li role=presentation&gt;&lt;a href=#-7327576299580197052extreme_values--7327576299580197052lastn aria-controls=-7327576299580197052extreme_values--7327576299580197052lastn role=tab data-toggle=tab&gt;Maximum 5 values&lt;/a&gt;&lt;/li&gt;&lt;/ul&gt;&lt;div class=tab-content&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12 active&quot; id=-7327576299580197052extreme_values--7327576299580197052firstn&gt;&lt;table class=&quot;freq table table-hover table-striped&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=0&gt;0&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&lt; 0.1% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=1&gt;1&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&lt; 0.1% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=2&gt;2&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&lt; 0.1% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=3&gt;3&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&lt; 0.1% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=4&gt;4&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&lt; 0.1% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=5&gt;5&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&lt; 0.1% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=6&gt;6&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&lt; 0.1% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=7&gt;7&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&lt; 0.1% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=8&gt;8&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&lt; 0.1% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=9&gt;9&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&lt; 0.1% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12&quot; id=-7327576299580197052extreme_values--7327576299580197052lastn&gt;&lt;table class=&quot;freq table table-hover table-striped&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=7042&gt;7042&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&lt; 0.1% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=7041&gt;7041&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&lt; 0.1% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=7040&gt;7040&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&lt; 0.1% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=7039&gt;7039&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&lt; 0.1% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=7038&gt;7038&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&lt; 0.1% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=7037&gt;7037&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&lt; 0.1% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=7036&gt;7036&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&lt; 0.1% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=7035&gt;7035&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&lt; 0.1% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=7034&gt;7034&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&lt; 0.1% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=7033&gt;7033&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&lt; 0.1% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;div class=&quot;row spacing&quot;&gt;&lt;a class=&quot;anchor-pos anchor-pos-variable&quot; id=pp_var_8714843578452991165&gt;&lt;/a&gt;&lt;div class=variable&gt;&lt;div class=col-sm-3&gt;&lt;p class=h4 title=customerID&gt;&lt;a href=#pp_var_8714843578452991165&gt;customerID&lt;/a&gt;&lt;br&gt;&lt;small&gt;Real number (&amp;Ropf;&lt;sub&gt;&amp;ge;0&lt;/sub&gt;)&lt;/small&gt;&lt;/p&gt;&lt;code&gt;UNIFORM&lt;/code&gt;&lt;br&gt;&lt;code&gt;UNIQUE&lt;/code&gt;&lt;br&gt;&lt;p class=variable-description&gt;&lt;/p&gt;&lt;/div&gt;&lt;div class=col-sm-3&gt;&lt;table class=&quot;table table-condensed stats&quot;&gt;&lt;tbody&gt;&lt;tr class=alert&gt;&lt;th&gt;Distinct&lt;/th&gt;&lt;td&gt;7032&lt;/td&gt;&lt;/tr&gt;&lt;tr class=alert&gt;&lt;th&gt;Distinct (%)&lt;/th&gt;&lt;td&gt;100.0%&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Missing&lt;/th&gt;&lt;td&gt;0&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Missing (%)&lt;/th&gt;&lt;td&gt;0.0%&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Infinite&lt;/th&gt;&lt;td&gt;0&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Infinite (%)&lt;/th&gt;&lt;td&gt;0.0%&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Mean&lt;/th&gt;&lt;td&gt;3515.5&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div class=col-sm-3&gt;&lt;table class=&quot;table table-condensed stats&quot;&gt;&lt;tbody&gt;&lt;tr&gt;&lt;th&gt;Minimum&lt;/th&gt;&lt;td&gt;0&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Maximum&lt;/th&gt;&lt;td&gt;7031&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Zeros&lt;/th&gt;&lt;td&gt;1&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Zeros (%)&lt;/th&gt;&lt;td&gt;&lt; 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-       "&quot;/&gt;&lt;/g&gt;&lt;/g&gt;&lt;/g&gt;&lt;defs&gt;&lt;clippath id=pc75d1801fe&gt;&lt;rect height=233.626136 width=369.025 x=52.175 y=10.8 /&gt;&lt;/clippath&gt;&lt;/defs&gt;&lt;/svg&gt;&lt;div class=&quot;caption text-center text-muted&quot;&gt;&lt;strong&gt;Histogram with fixed size bins&lt;/strong&gt; (bins=50) &lt;/div&gt;&lt;/div&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12&quot; id=8714843578452991165bottom-8714843578452991165common_values&gt;&lt;table class=&quot;freq table table-hover table-striped&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=0&gt;0&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.0%&gt; &amp;nbsp; &lt;/div&gt;&lt; 0.1% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=581&gt;581&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.0%&gt; &amp;nbsp; &lt;/div&gt;&lt; 0.1% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=2652&gt;2652&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.0%&gt; &amp;nbsp; &lt;/div&gt;&lt; 0.1% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=4695&gt;4695&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.0%&gt; &amp;nbsp; &lt;/div&gt;&lt; 0.1% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=6742&gt;6742&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.0%&gt; &amp;nbsp; &lt;/div&gt;&lt; 0.1% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=597&gt;597&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.0%&gt; &amp;nbsp; &lt;/div&gt;&lt; 0.1% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=2644&gt;2644&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.0%&gt; &amp;nbsp; &lt;/div&gt;&lt; 0.1% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=4687&gt;4687&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.0%&gt; &amp;nbsp; &lt;/div&gt;&lt; 0.1% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=6734&gt;6734&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.0%&gt; &amp;nbsp; &lt;/div&gt;&lt; 0.1% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=589&gt;589&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.0%&gt; &amp;nbsp; &lt;/div&gt;&lt; 0.1% &lt;/td&gt;&lt;/tr&gt;&lt;tr class=other&gt;&lt;td title=&quot;Other values (7022)&quot;&gt;Other values (7022)&lt;/td&gt;&lt;td&gt;7022&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 99.9% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12&quot; id=8714843578452991165bottom-8714843578452991165extreme_values&gt;&lt;div class=&quot;row spacing&quot;&gt;&lt;ul class=&quot;nav nav-tabs&quot; role=tablist&gt;&lt;li role=presentation class=active&gt;&lt;a href=#8714843578452991165extreme_values-8714843578452991165firstn aria-controls=8714843578452991165extreme_values-8714843578452991165firstn role=tab data-toggle=tab&gt;Minimum 5 values&lt;/a&gt;&lt;/li&gt;&lt;li role=presentation&gt;&lt;a href=#8714843578452991165extreme_values-8714843578452991165lastn aria-controls=8714843578452991165extreme_values-8714843578452991165lastn role=tab data-toggle=tab&gt;Maximum 5 values&lt;/a&gt;&lt;/li&gt;&lt;/ul&gt;&lt;div class=tab-content&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12 active&quot; id=8714843578452991165extreme_values-8714843578452991165firstn&gt;&lt;table class=&quot;freq table table-hover table-striped&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=0&gt;0&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&lt; 0.1% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=1&gt;1&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&lt; 0.1% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=2&gt;2&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&lt; 0.1% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=3&gt;3&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&lt; 0.1% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=4&gt;4&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&lt; 0.1% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=5&gt;5&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&lt; 0.1% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=6&gt;6&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&lt; 0.1% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=7&gt;7&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&lt; 0.1% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=8&gt;8&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&lt; 0.1% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=9&gt;9&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&lt; 0.1% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12&quot; id=8714843578452991165extreme_values-8714843578452991165lastn&gt;&lt;table class=&quot;freq table table-hover table-striped&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=7031&gt;7031&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&lt; 0.1% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=7030&gt;7030&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&lt; 0.1% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=7029&gt;7029&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&lt; 0.1% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=7028&gt;7028&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&lt; 0.1% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=7027&gt;7027&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&lt; 0.1% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=7026&gt;7026&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&lt; 0.1% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=7025&gt;7025&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&lt; 0.1% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=7024&gt;7024&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&lt; 0.1% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=7023&gt;7023&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&lt; 0.1% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=7022&gt;7022&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&lt; 0.1% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;div class=&quot;row spacing&quot;&gt;&lt;a class=&quot;anchor-pos anchor-pos-variable&quot; id=pp_var_3336258427989950136&gt;&lt;/a&gt;&lt;div class=variable&gt;&lt;div class=col-sm-3&gt;&lt;p class=h4 title=gender&gt;&lt;a href=#pp_var_3336258427989950136&gt;gender&lt;/a&gt;&lt;br&gt;&lt;small&gt;Categorical&lt;/small&gt;&lt;/p&gt;&lt;p class=variable-description&gt;&lt;/p&gt;&lt;/div&gt;&lt;div class=col-sm-3&gt;&lt;table class=&quot;table table-condensed stats&quot;&gt;&lt;tbody&gt;&lt;tr&gt;&lt;th&gt;Distinct&lt;/th&gt;&lt;td&gt;2&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Distinct (%)&lt;/th&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Missing&lt;/th&gt;&lt;td&gt;0&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Missing (%)&lt;/th&gt;&lt;td&gt;0.0%&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Memory size&lt;/th&gt;&lt;td&gt;55.1 KiB&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div class=col-sm-6&gt;&lt;div class=&quot;col-sm- collapse in&quot; id=minifreqtable&gt;&lt;table class=&quot;mini freq&quot;&gt;&lt;tr class&gt;&lt;th width=50%&gt; 1 &lt;/th&gt;&lt;td width=50%&gt;&lt;div class=bar style=width:100.0% data-toggle=tooltip data-placement=right data-html=true data-delay=500&gt; 3549&amp;nbsp; &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;th width=50%&gt; 0 &lt;/th&gt;&lt;td width=50%&gt;&lt;div class=bar style=width:98.1% data-toggle=tooltip data-placement=right data-html=true data-delay=500&gt; 3483&amp;nbsp; &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;div class=&quot;col-sm-12 text-right&quot;&gt;&lt;button class=&quot;btn btn-default btn-sm&quot; data-toggle=collapse data-target=&quot;#bottom-3336258427989950136, #minifreqtable3336258427989950136&quot; aria-expanded=true aria-controls=collapseExample&gt;Toggle details&lt;/button&gt;&lt;/div&gt;&lt;div id=bottom-3336258427989950136 class=collapse&gt;&lt;div class=&quot;row spacing&quot;&gt;&lt;ul class=&quot;nav nav-tabs&quot; role=tablist&gt;&lt;li role=presentation class=active&gt;&lt;a href=#3336258427989950136bottom-3336258427989950136overview aria-controls=3336258427989950136bottom-3336258427989950136overview role=tab data-toggle=tab&gt;Overview&lt;/a&gt;&lt;/li&gt;&lt;li role=presentation&gt;&lt;a href=#3336258427989950136bottom-3336258427989950136string aria-controls=3336258427989950136bottom-3336258427989950136string role=tab data-toggle=tab&gt;Categories&lt;/a&gt;&lt;/li&gt;&lt;li role=presentation&gt;&lt;a href=#3336258427989950136bottom-3336258427989950136word aria-controls=3336258427989950136bottom-3336258427989950136word role=tab data-toggle=tab&gt;Words&lt;/a&gt;&lt;/li&gt;&lt;li role=presentation&gt;&lt;a href=#3336258427989950136bottom-3336258427989950136characters aria-controls=3336258427989950136bottom-3336258427989950136characters role=tab data-toggle=tab&gt;Characters&lt;/a&gt;&lt;/li&gt;&lt;/ul&gt;&lt;div class=tab-content&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12 active&quot; id=3336258427989950136bottom-3336258427989950136overview&gt;&lt;div class=row&gt;&lt;div class=col-sm-3&gt;&lt;p class=h4&gt;Length&lt;/p&gt;&lt;table class=&quot;table table-condensed stats&quot;&gt;&lt;tbody&gt;&lt;tr&gt;&lt;th&gt;Max length&lt;/th&gt;&lt;td&gt;1&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Median length&lt;/th&gt;&lt;td&gt;1&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Mean length&lt;/th&gt;&lt;td&gt;1&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Min length&lt;/th&gt;&lt;td&gt;1&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div class=col-sm-3&gt;&lt;p class=h4&gt;Characters and Unicode&lt;/p&gt;&lt;table class=&quot;table table-condensed stats&quot;&gt;&lt;tbody&gt;&lt;tr&gt;&lt;th&gt;Total characters&lt;/th&gt;&lt;td&gt;7032&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Distinct characters&lt;/th&gt;&lt;td&gt;2&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Distinct categories&lt;/th&gt;&lt;td&gt;1 &lt;a title=&quot;Unicode categories (click for more information)&quot; href=https://en.wikipedia.org/wiki/Unicode_character_property#General_Category target=_blank&gt;&lt;span class=&quot;badge pull-right&quot; style=color:#fff;background-color:#337ab7; title=&quot;Unicode categories (click for more information)&quot;&gt;?&lt;/span&gt;&lt;/a&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Distinct scripts&lt;/th&gt;&lt;td&gt;1 &lt;a title=&quot;Unicode scripts (click for more information)&quot; href=https://en.wikipedia.org/wiki/Script_(Unicode)#List_of_scripts_in_Unicode target=_blank&gt;&lt;span class=&quot;badge pull-right&quot; style=color:#fff;background-color:#337ab7; title=&quot;Unicode scripts (click for more information)&quot;&gt;?&lt;/span&gt;&lt;/a&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Distinct blocks&lt;/th&gt;&lt;td&gt;1 &lt;a title=&quot;Unicode blocks (click for more information)&quot; href=https://en.wikipedia.org/wiki/Unicode_block target=_blank&gt;&lt;span class=&quot;badge pull-right&quot; style=color:#fff;background-color:#337ab7; title=&quot;Unicode blocks (click for more information)&quot;&gt;?&lt;/span&gt;&lt;/a&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;div class=&quot;caption text-center text-muted&quot;&gt; The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables. &lt;/div&gt;&lt;/div&gt;&lt;div class=col-sm-3&gt;&lt;p class=h4&gt;Unique&lt;/p&gt;&lt;table class=&quot;table table-condensed stats&quot;&gt;&lt;tbody&gt;&lt;tr&gt;&lt;th&gt;Unique&lt;/th&gt;&lt;td&gt;0 &lt;span class=&quot;badge pull-right&quot; style=color:#fff;background-color:#337ab7; title=&quot;The number of unique values (all values that occur exactly once in the dataset).&quot;&gt;?&lt;/span&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Unique (%)&lt;/th&gt;&lt;td&gt;0.0%&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div class=col-sm-3&gt;&lt;p class=h4&gt;Sample&lt;/p&gt;&lt;table class=&quot;table table-condensed stats&quot;&gt;&lt;tbody&gt;&lt;tr&gt;&lt;th&gt;1st row&lt;/th&gt;&lt;td&gt;0&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;2nd row&lt;/th&gt;&lt;td&gt;1&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;3rd row&lt;/th&gt;&lt;td&gt;1&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;4th row&lt;/th&gt;&lt;td&gt;1&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;5th row&lt;/th&gt;&lt;td&gt;0&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12&quot; 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100.0% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most frequent character per category&lt;/h4&gt;&lt;div class=row&gt;&lt;div class=col-sm-6&gt;&lt;h5&gt;&lt;em&gt;Decimal Number&lt;/em&gt;&lt;/h5&gt;&lt;table class=&quot;freq table table-hover table-striped&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=1&gt;1&lt;/td&gt;&lt;td&gt;3549&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 50.5% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=0&gt;0&lt;/td&gt;&lt;td&gt;3483&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:98.1%&gt; 49.5% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12&quot; id=3336258427989950136unicode-3336258427989950136scripts&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most occurring scripts&lt;/h4&gt;&lt;table class=&quot;freq table table-hover table-striped&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=Common&gt;Common&lt;/td&gt;&lt;td&gt;7032&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 100.0% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most frequent character per script&lt;/h4&gt;&lt;div class=row&gt;&lt;div class=col-sm-6&gt;&lt;h5&gt;&lt;em&gt;Common&lt;/em&gt;&lt;/h5&gt;&lt;table class=&quot;freq table table-hover table-striped&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=1&gt;1&lt;/td&gt;&lt;td&gt;3549&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 50.5% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=0&gt;0&lt;/td&gt;&lt;td&gt;3483&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:98.1%&gt; 49.5% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12&quot; id=3336258427989950136unicode-3336258427989950136blocks&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most occurring blocks&lt;/h4&gt;&lt;table class=&quot;freq table table-hover table-striped&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=ASCII&gt;ASCII&lt;/td&gt;&lt;td&gt;7032&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 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title=&quot;Unicode blocks (click for more information)&quot;&gt;?&lt;/span&gt;&lt;/a&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;div class=&quot;caption text-center text-muted&quot;&gt; The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables. &lt;/div&gt;&lt;/div&gt;&lt;div class=col-sm-3&gt;&lt;p class=h4&gt;Unique&lt;/p&gt;&lt;table class=&quot;table table-condensed stats&quot;&gt;&lt;tbody&gt;&lt;tr&gt;&lt;th&gt;Unique&lt;/th&gt;&lt;td&gt;0 &lt;span class=&quot;badge pull-right&quot; style=color:#fff;background-color:#337ab7; title=&quot;The number of unique values (all values that occur exactly once in the dataset).&quot;&gt;?&lt;/span&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Unique (%)&lt;/th&gt;&lt;td&gt;0.0%&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div class=col-sm-3&gt;&lt;p class=h4&gt;Sample&lt;/p&gt;&lt;table class=&quot;table table-condensed stats&quot;&gt;&lt;tbody&gt;&lt;tr&gt;&lt;th&gt;1st row&lt;/th&gt;&lt;td&gt;0&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;2nd row&lt;/th&gt;&lt;td&gt;0&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;3rd row&lt;/th&gt;&lt;td&gt;0&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;4th row&lt;/th&gt;&lt;td&gt;0&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;5th row&lt;/th&gt;&lt;td&gt;0&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12&quot; 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id=-1099768548303661473bottom--1099768548303661473characters&gt;&lt;div class=col-sm-12&gt;&lt;div class=&quot;row spacing&quot;&gt;&lt;ul class=&quot;nav nav-tabs&quot; role=tablist&gt;&lt;li role=presentation class=active&gt;&lt;a href=#-1099768548303661473unicode--1099768548303661473characters aria-controls=-1099768548303661473unicode--1099768548303661473characters role=tab data-toggle=tab&gt;Characters&lt;/a&gt;&lt;/li&gt;&lt;li role=presentation&gt;&lt;a href=#-1099768548303661473unicode--1099768548303661473categories aria-controls=-1099768548303661473unicode--1099768548303661473categories role=tab data-toggle=tab&gt;Categories&lt;/a&gt;&lt;/li&gt;&lt;li role=presentation&gt;&lt;a href=#-1099768548303661473unicode--1099768548303661473scripts aria-controls=-1099768548303661473unicode--1099768548303661473scripts role=tab data-toggle=tab&gt;Scripts&lt;/a&gt;&lt;/li&gt;&lt;li role=presentation&gt;&lt;a href=#-1099768548303661473unicode--1099768548303661473blocks aria-controls=-1099768548303661473unicode--1099768548303661473blocks role=tab data-toggle=tab&gt;Blocks&lt;/a&gt;&lt;/li&gt;&lt;/ul&gt;&lt;div class=tab-content&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12 active&quot; id=-1099768548303661473unicode--1099768548303661473characters&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most occurring characters&lt;/h4&gt;&lt;table class=&quot;freq table table-hover table-striped&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=0&gt;0&lt;/td&gt;&lt;td&gt;5890&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 83.8% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=1&gt;1&lt;/td&gt;&lt;td&gt;1142&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:19.4%&gt; &amp;nbsp; &lt;/div&gt; 16.2% &lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12&quot; id=-1099768548303661473unicode--1099768548303661473categories&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most occurring categories&lt;/h4&gt;&lt;table class=&quot;freq table table-hover table-striped&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=&quot;Decimal Number&quot;&gt;Decimal Number&lt;/td&gt;&lt;td&gt;7032&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 100.0% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most frequent character per category&lt;/h4&gt;&lt;div class=row&gt;&lt;div class=col-sm-6&gt;&lt;h5&gt;&lt;em&gt;Decimal Number&lt;/em&gt;&lt;/h5&gt;&lt;table class=&quot;freq table table-hover table-striped&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=0&gt;0&lt;/td&gt;&lt;td&gt;5890&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 83.8% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=1&gt;1&lt;/td&gt;&lt;td&gt;1142&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:19.4%&gt; &amp;nbsp; &lt;/div&gt; 16.2% &lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12&quot; id=-1099768548303661473unicode--1099768548303661473scripts&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most occurring scripts&lt;/h4&gt;&lt;table class=&quot;freq table table-hover table-striped&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=Common&gt;Common&lt;/td&gt;&lt;td&gt;7032&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 100.0% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most frequent character per script&lt;/h4&gt;&lt;div class=row&gt;&lt;div class=col-sm-6&gt;&lt;h5&gt;&lt;em&gt;Common&lt;/em&gt;&lt;/h5&gt;&lt;table class=&quot;freq table table-hover table-striped&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=0&gt;0&lt;/td&gt;&lt;td&gt;5890&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 83.8% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=1&gt;1&lt;/td&gt;&lt;td&gt;1142&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:19.4%&gt; &amp;nbsp; &lt;/div&gt; 16.2% &lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12&quot; id=-1099768548303661473unicode--1099768548303661473blocks&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most occurring blocks&lt;/h4&gt;&lt;table class=&quot;freq table table-hover table-striped&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=ASCII&gt;ASCII&lt;/td&gt;&lt;td&gt;7032&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 100.0% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most frequent character per block&lt;/h4&gt;&lt;div class=row&gt;&lt;div class=col-sm-6&gt;&lt;h5&gt;&lt;em&gt;ASCII&lt;/em&gt;&lt;/h5&gt;&lt;table class=&quot;freq table table-hover table-striped&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=0&gt;0&lt;/td&gt;&lt;td&gt;5890&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 83.8% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=1&gt;1&lt;/td&gt;&lt;td&gt;1142&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:19.4%&gt; &amp;nbsp; &lt;/div&gt; 16.2% &lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;div class=&quot;row spacing&quot;&gt;&lt;a class=&quot;anchor-pos anchor-pos-variable&quot; id=pp_var_7232879844970823870&gt;&lt;/a&gt;&lt;div class=variable&gt;&lt;div class=col-sm-3&gt;&lt;p class=h4 title=Partner&gt;&lt;a href=#pp_var_7232879844970823870&gt;Partner&lt;/a&gt;&lt;br&gt;&lt;small&gt;Categorical&lt;/small&gt;&lt;/p&gt;&lt;code&gt;&lt;abbr title=&quot;This variable has a high correlation with 1 fields: Dependents&quot;&gt;HIGH CORRELATION&lt;/abbr&gt;&lt;/code&gt;&lt;br&gt;&lt;p class=variable-description&gt;&lt;/p&gt;&lt;/div&gt;&lt;div class=col-sm-3&gt;&lt;table class=&quot;table table-condensed stats&quot;&gt;&lt;tbody&gt;&lt;tr&gt;&lt;th&gt;Distinct&lt;/th&gt;&lt;td&gt;2&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Distinct (%)&lt;/th&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Missing&lt;/th&gt;&lt;td&gt;0&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Missing (%)&lt;/th&gt;&lt;td&gt;0.0%&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Memory size&lt;/th&gt;&lt;td&gt;55.1 KiB&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div class=col-sm-6&gt;&lt;div class=&quot;col-sm- collapse in&quot; id=minifreqtable&gt;&lt;table class=&quot;mini freq&quot;&gt;&lt;tr class&gt;&lt;th width=50%&gt; 0 &lt;/th&gt;&lt;td width=50%&gt;&lt;div class=bar style=width:100.0% data-toggle=tooltip data-placement=right data-html=true data-delay=500&gt; 3639&amp;nbsp; &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;th width=50%&gt; 1 &lt;/th&gt;&lt;td width=50%&gt;&lt;div class=bar style=width:93.2% data-toggle=tooltip data-placement=right data-html=true data-delay=500&gt; 3393&amp;nbsp; &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;div class=&quot;col-sm-12 text-right&quot;&gt;&lt;button class=&quot;btn btn-default btn-sm&quot; data-toggle=collapse data-target=&quot;#bottom-7232879844970823870, #minifreqtable7232879844970823870&quot; aria-expanded=true aria-controls=collapseExample&gt;Toggle details&lt;/button&gt;&lt;/div&gt;&lt;div id=bottom-7232879844970823870 class=collapse&gt;&lt;div class=&quot;row spacing&quot;&gt;&lt;ul class=&quot;nav nav-tabs&quot; role=tablist&gt;&lt;li role=presentation class=active&gt;&lt;a href=#7232879844970823870bottom-7232879844970823870overview aria-controls=7232879844970823870bottom-7232879844970823870overview role=tab data-toggle=tab&gt;Overview&lt;/a&gt;&lt;/li&gt;&lt;li role=presentation&gt;&lt;a href=#7232879844970823870bottom-7232879844970823870string aria-controls=7232879844970823870bottom-7232879844970823870string role=tab data-toggle=tab&gt;Categories&lt;/a&gt;&lt;/li&gt;&lt;li role=presentation&gt;&lt;a href=#7232879844970823870bottom-7232879844970823870word aria-controls=7232879844970823870bottom-7232879844970823870word role=tab data-toggle=tab&gt;Words&lt;/a&gt;&lt;/li&gt;&lt;li role=presentation&gt;&lt;a href=#7232879844970823870bottom-7232879844970823870characters aria-controls=7232879844970823870bottom-7232879844970823870characters role=tab data-toggle=tab&gt;Characters&lt;/a&gt;&lt;/li&gt;&lt;/ul&gt;&lt;div class=tab-content&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12 active&quot; id=7232879844970823870bottom-7232879844970823870overview&gt;&lt;div class=row&gt;&lt;div class=col-sm-3&gt;&lt;p class=h4&gt;Length&lt;/p&gt;&lt;table class=&quot;table table-condensed stats&quot;&gt;&lt;tbody&gt;&lt;tr&gt;&lt;th&gt;Max length&lt;/th&gt;&lt;td&gt;1&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Median length&lt;/th&gt;&lt;td&gt;1&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Mean length&lt;/th&gt;&lt;td&gt;1&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Min length&lt;/th&gt;&lt;td&gt;1&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div class=col-sm-3&gt;&lt;p class=h4&gt;Characters and Unicode&lt;/p&gt;&lt;table class=&quot;table table-condensed stats&quot;&gt;&lt;tbody&gt;&lt;tr&gt;&lt;th&gt;Total characters&lt;/th&gt;&lt;td&gt;7032&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Distinct characters&lt;/th&gt;&lt;td&gt;2&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Distinct categories&lt;/th&gt;&lt;td&gt;1 &lt;a title=&quot;Unicode categories (click for more information)&quot; href=https://en.wikipedia.org/wiki/Unicode_character_property#General_Category target=_blank&gt;&lt;span class=&quot;badge pull-right&quot; style=color:#fff;background-color:#337ab7; title=&quot;Unicode categories (click for more information)&quot;&gt;?&lt;/span&gt;&lt;/a&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Distinct scripts&lt;/th&gt;&lt;td&gt;1 &lt;a title=&quot;Unicode scripts (click for more information)&quot; href=https://en.wikipedia.org/wiki/Script_(Unicode)#List_of_scripts_in_Unicode target=_blank&gt;&lt;span class=&quot;badge pull-right&quot; style=color:#fff;background-color:#337ab7; title=&quot;Unicode scripts (click for more information)&quot;&gt;?&lt;/span&gt;&lt;/a&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Distinct blocks&lt;/th&gt;&lt;td&gt;1 &lt;a title=&quot;Unicode blocks (click for more information)&quot; href=https://en.wikipedia.org/wiki/Unicode_block target=_blank&gt;&lt;span class=&quot;badge pull-right&quot; style=color:#fff;background-color:#337ab7; title=&quot;Unicode blocks (click for more information)&quot;&gt;?&lt;/span&gt;&lt;/a&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;div class=&quot;caption text-center text-muted&quot;&gt; The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables. &lt;/div&gt;&lt;/div&gt;&lt;div class=col-sm-3&gt;&lt;p class=h4&gt;Unique&lt;/p&gt;&lt;table class=&quot;table table-condensed stats&quot;&gt;&lt;tbody&gt;&lt;tr&gt;&lt;th&gt;Unique&lt;/th&gt;&lt;td&gt;0 &lt;span class=&quot;badge pull-right&quot; style=color:#fff;background-color:#337ab7; title=&quot;The number of unique values (all values that occur exactly once in the dataset).&quot;&gt;?&lt;/span&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Unique (%)&lt;/th&gt;&lt;td&gt;0.0%&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div class=col-sm-3&gt;&lt;p class=h4&gt;Sample&lt;/p&gt;&lt;table class=&quot;table table-condensed stats&quot;&gt;&lt;tbody&gt;&lt;tr&gt;&lt;th&gt;1st row&lt;/th&gt;&lt;td&gt;1&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;2nd row&lt;/th&gt;&lt;td&gt;0&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;3rd row&lt;/th&gt;&lt;td&gt;0&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;4th row&lt;/th&gt;&lt;td&gt;0&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;5th row&lt;/th&gt;&lt;td&gt;0&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12&quot; 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id=7232879844970823870unicode-7232879844970823870characters&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most occurring characters&lt;/h4&gt;&lt;table class=&quot;freq table table-hover table-striped&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=0&gt;0&lt;/td&gt;&lt;td&gt;3639&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 51.7% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=1&gt;1&lt;/td&gt;&lt;td&gt;3393&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:93.2%&gt; 48.3% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12&quot; id=7232879844970823870unicode-7232879844970823870categories&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most occurring categories&lt;/h4&gt;&lt;table class=&quot;freq table table-hover table-striped&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=&quot;Decimal Number&quot;&gt;Decimal Number&lt;/td&gt;&lt;td&gt;7032&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 100.0% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most frequent character per category&lt;/h4&gt;&lt;div class=row&gt;&lt;div class=col-sm-6&gt;&lt;h5&gt;&lt;em&gt;Decimal Number&lt;/em&gt;&lt;/h5&gt;&lt;table class=&quot;freq table table-hover table-striped&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=0&gt;0&lt;/td&gt;&lt;td&gt;3639&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 51.7% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=1&gt;1&lt;/td&gt;&lt;td&gt;3393&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:93.2%&gt; 48.3% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12&quot; id=7232879844970823870unicode-7232879844970823870scripts&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most occurring scripts&lt;/h4&gt;&lt;table class=&quot;freq table table-hover table-striped&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=Common&gt;Common&lt;/td&gt;&lt;td&gt;7032&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 100.0% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most frequent character per script&lt;/h4&gt;&lt;div class=row&gt;&lt;div class=col-sm-6&gt;&lt;h5&gt;&lt;em&gt;Common&lt;/em&gt;&lt;/h5&gt;&lt;table class=&quot;freq table table-hover table-striped&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=0&gt;0&lt;/td&gt;&lt;td&gt;3639&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 51.7% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=1&gt;1&lt;/td&gt;&lt;td&gt;3393&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:93.2%&gt; 48.3% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12&quot; id=7232879844970823870unicode-7232879844970823870blocks&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most occurring blocks&lt;/h4&gt;&lt;table class=&quot;freq table table-hover table-striped&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=ASCII&gt;ASCII&lt;/td&gt;&lt;td&gt;7032&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 100.0% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most frequent character per block&lt;/h4&gt;&lt;div class=row&gt;&lt;div class=col-sm-6&gt;&lt;h5&gt;&lt;em&gt;ASCII&lt;/em&gt;&lt;/h5&gt;&lt;table class=&quot;freq table table-hover table-striped&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=0&gt;0&lt;/td&gt;&lt;td&gt;3639&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 51.7% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=1&gt;1&lt;/td&gt;&lt;td&gt;3393&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:93.2%&gt; 48.3% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;div class=&quot;row spacing&quot;&gt;&lt;a class=&quot;anchor-pos anchor-pos-variable&quot; 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id=minifreqtable&gt;&lt;table class=&quot;mini freq&quot;&gt;&lt;tr class&gt;&lt;th width=50%&gt; 0 &lt;/th&gt;&lt;td width=50%&gt;&lt;div class=bar style=width:100.0% data-toggle=tooltip data-placement=right data-html=true data-delay=500&gt; 4933&amp;nbsp; &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;th width=50%&gt; 1 &lt;/th&gt;&lt;td width=50%&gt;&lt;div class=bar style=width:42.6% data-toggle=tooltip data-placement=right data-html=true data-delay=500&gt; 2099&amp;nbsp; &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;div class=&quot;col-sm-12 text-right&quot;&gt;&lt;button class=&quot;btn btn-default btn-sm&quot; data-toggle=collapse data-target=&quot;#bottom--9044748594099572322, #minifreqtable-9044748594099572322&quot; aria-expanded=true aria-controls=collapseExample&gt;Toggle details&lt;/button&gt;&lt;/div&gt;&lt;div id=bottom--9044748594099572322 class=collapse&gt;&lt;div class=&quot;row spacing&quot;&gt;&lt;ul class=&quot;nav nav-tabs&quot; 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title=&quot;Unicode blocks (click for more information)&quot;&gt;?&lt;/span&gt;&lt;/a&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;div class=&quot;caption text-center text-muted&quot;&gt; The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables. &lt;/div&gt;&lt;/div&gt;&lt;div class=col-sm-3&gt;&lt;p class=h4&gt;Unique&lt;/p&gt;&lt;table class=&quot;table table-condensed stats&quot;&gt;&lt;tbody&gt;&lt;tr&gt;&lt;th&gt;Unique&lt;/th&gt;&lt;td&gt;0 &lt;span class=&quot;badge pull-right&quot; style=color:#fff;background-color:#337ab7; title=&quot;The number of unique values (all values that occur exactly once in the dataset).&quot;&gt;?&lt;/span&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Unique (%)&lt;/th&gt;&lt;td&gt;0.0%&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div class=col-sm-3&gt;&lt;p class=h4&gt;Sample&lt;/p&gt;&lt;table class=&quot;table table-condensed stats&quot;&gt;&lt;tbody&gt;&lt;tr&gt;&lt;th&gt;1st row&lt;/th&gt;&lt;td&gt;0&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;2nd row&lt;/th&gt;&lt;td&gt;0&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;3rd row&lt;/th&gt;&lt;td&gt;0&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;4th row&lt;/th&gt;&lt;td&gt;0&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;5th row&lt;/th&gt;&lt;td&gt;0&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12&quot; 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100.0% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most frequent character per category&lt;/h4&gt;&lt;div class=row&gt;&lt;div class=col-sm-6&gt;&lt;h5&gt;&lt;em&gt;Decimal Number&lt;/em&gt;&lt;/h5&gt;&lt;table class=&quot;freq table table-hover table-striped&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=0&gt;0&lt;/td&gt;&lt;td&gt;4933&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 70.2% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=1&gt;1&lt;/td&gt;&lt;td&gt;2099&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:42.6%&gt; 29.8% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12&quot; id=-9044748594099572322unicode--9044748594099572322scripts&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most occurring scripts&lt;/h4&gt;&lt;table class=&quot;freq table table-hover table-striped&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=Common&gt;Common&lt;/td&gt;&lt;td&gt;7032&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 100.0% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most frequent character per script&lt;/h4&gt;&lt;div class=row&gt;&lt;div class=col-sm-6&gt;&lt;h5&gt;&lt;em&gt;Common&lt;/em&gt;&lt;/h5&gt;&lt;table class=&quot;freq table table-hover table-striped&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=0&gt;0&lt;/td&gt;&lt;td&gt;4933&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 70.2% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=1&gt;1&lt;/td&gt;&lt;td&gt;2099&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:42.6%&gt; 29.8% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12&quot; id=-9044748594099572322unicode--9044748594099572322blocks&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most occurring blocks&lt;/h4&gt;&lt;table class=&quot;freq table table-hover table-striped&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=ASCII&gt;ASCII&lt;/td&gt;&lt;td&gt;7032&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 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-       "L 421.2 10.8 \n",
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-       "L 421.2 252.381088 \n",
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-       "L 421.2 10.8 \n",
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5.1% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=2&gt;2&lt;/td&gt;&lt;td&gt;238&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:5.0%&gt; &amp;nbsp; &lt;/div&gt; 3.4% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=3&gt;3&lt;/td&gt;&lt;td&gt;200&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:4.2%&gt; &amp;nbsp; &lt;/div&gt; 2.8% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=4&gt;4&lt;/td&gt;&lt;td&gt;176&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:3.7%&gt; &amp;nbsp; &lt;/div&gt; 2.5% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=71&gt;71&lt;/td&gt;&lt;td&gt;170&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:3.6%&gt; &amp;nbsp; &lt;/div&gt; 2.4% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=5&gt;5&lt;/td&gt;&lt;td&gt;133&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:2.8%&gt; &amp;nbsp; &lt;/div&gt; 1.9% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=7&gt;7&lt;/td&gt;&lt;td&gt;131&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:2.7%&gt; &amp;nbsp; &lt;/div&gt; 1.9% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=8&gt;8&lt;/td&gt;&lt;td&gt;123&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:2.6%&gt; &amp;nbsp; &lt;/div&gt; 1.7% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=70&gt;70&lt;/td&gt;&lt;td&gt;119&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:2.5%&gt; &amp;nbsp; &lt;/div&gt; 1.7% &lt;/td&gt;&lt;/tr&gt;&lt;tr class=other&gt;&lt;td title=&quot;Other values (62)&quot;&gt;Other values (62)&lt;/td&gt;&lt;td&gt;4767&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 67.8% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12&quot; id=5441738425803879150bottom-5441738425803879150extreme_values&gt;&lt;div class=&quot;row spacing&quot;&gt;&lt;ul class=&quot;nav nav-tabs&quot; role=tablist&gt;&lt;li role=presentation class=active&gt;&lt;a href=#5441738425803879150extreme_values-5441738425803879150firstn aria-controls=5441738425803879150extreme_values-5441738425803879150firstn role=tab data-toggle=tab&gt;Minimum 5 values&lt;/a&gt;&lt;/li&gt;&lt;li role=presentation&gt;&lt;a href=#5441738425803879150extreme_values-5441738425803879150lastn aria-controls=5441738425803879150extreme_values-5441738425803879150lastn role=tab data-toggle=tab&gt;Maximum 5 values&lt;/a&gt;&lt;/li&gt;&lt;/ul&gt;&lt;div class=tab-content&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12 active&quot; id=5441738425803879150extreme_values-5441738425803879150firstn&gt;&lt;table class=&quot;freq table table-hover table-striped&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=1&gt;1&lt;/td&gt;&lt;td&gt;613&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 8.7% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=2&gt;2&lt;/td&gt;&lt;td&gt;238&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:38.8%&gt; &amp;nbsp; &lt;/div&gt; 3.4% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=3&gt;3&lt;/td&gt;&lt;td&gt;200&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:32.6%&gt; &amp;nbsp; &lt;/div&gt; 2.8% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=4&gt;4&lt;/td&gt;&lt;td&gt;176&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:28.7%&gt; &amp;nbsp; &lt;/div&gt; 2.5% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=5&gt;5&lt;/td&gt;&lt;td&gt;133&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:21.7%&gt; &amp;nbsp; &lt;/div&gt; 1.9% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=6&gt;6&lt;/td&gt;&lt;td&gt;110&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:17.9%&gt; &amp;nbsp; &lt;/div&gt; 1.6% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=7&gt;7&lt;/td&gt;&lt;td&gt;131&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:21.4%&gt; &amp;nbsp; &lt;/div&gt; 1.9% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=8&gt;8&lt;/td&gt;&lt;td&gt;123&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:20.1%&gt; &amp;nbsp; &lt;/div&gt; 1.7% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=9&gt;9&lt;/td&gt;&lt;td&gt;119&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:19.4%&gt; &amp;nbsp; &lt;/div&gt; 1.7% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=10&gt;10&lt;/td&gt;&lt;td&gt;116&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:18.9%&gt; &amp;nbsp; &lt;/div&gt; 1.6% &lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12&quot; id=5441738425803879150extreme_values-5441738425803879150lastn&gt;&lt;table class=&quot;freq table table-hover table-striped&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=72&gt;72&lt;/td&gt;&lt;td&gt;362&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 5.1% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=71&gt;71&lt;/td&gt;&lt;td&gt;170&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:47.0%&gt; 2.4% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=70&gt;70&lt;/td&gt;&lt;td&gt;119&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:32.9%&gt; &amp;nbsp; &lt;/div&gt; 1.7% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=69&gt;69&lt;/td&gt;&lt;td&gt;95&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:26.2%&gt; &amp;nbsp; &lt;/div&gt; 1.4% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=68&gt;68&lt;/td&gt;&lt;td&gt;100&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:27.6%&gt; &amp;nbsp; &lt;/div&gt; 1.4% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=67&gt;67&lt;/td&gt;&lt;td&gt;98&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:27.1%&gt; &amp;nbsp; &lt;/div&gt; 1.4% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=66&gt;66&lt;/td&gt;&lt;td&gt;89&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:24.6%&gt; &amp;nbsp; &lt;/div&gt; 1.3% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=65&gt;65&lt;/td&gt;&lt;td&gt;76&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:21.0%&gt; &amp;nbsp; &lt;/div&gt; 1.1% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=64&gt;64&lt;/td&gt;&lt;td&gt;80&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:22.1%&gt; &amp;nbsp; &lt;/div&gt; 1.1% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=63&gt;63&lt;/td&gt;&lt;td&gt;72&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:19.9%&gt; &amp;nbsp; &lt;/div&gt; 1.0% &lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;div class=&quot;row spacing&quot;&gt;&lt;a class=&quot;anchor-pos anchor-pos-variable&quot; id=pp_var_-1010255133606759073&gt;&lt;/a&gt;&lt;div class=variable&gt;&lt;div class=col-sm-3&gt;&lt;p class=h4 title=PhoneService&gt;&lt;a href=#pp_var_-1010255133606759073&gt;PhoneService&lt;/a&gt;&lt;br&gt;&lt;small&gt;Categorical&lt;/small&gt;&lt;/p&gt;&lt;code&gt;&lt;abbr title=&quot;This variable has a high correlation with 2 fields: MonthlyCharges, MultipleLines&quot;&gt;HIGH CORRELATION&lt;/abbr&gt;&lt;/code&gt;&lt;br&gt;&lt;code&gt;&lt;abbr title=&quot;This variable has a high correlation with 1 fields: MultipleLines&quot;&gt;HIGH CORRELATION&lt;/abbr&gt;&lt;/code&gt;&lt;br&gt;&lt;p class=variable-description&gt;&lt;/p&gt;&lt;/div&gt;&lt;div class=col-sm-3&gt;&lt;table class=&quot;table table-condensed stats&quot;&gt;&lt;tbody&gt;&lt;tr&gt;&lt;th&gt;Distinct&lt;/th&gt;&lt;td&gt;2&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Distinct (%)&lt;/th&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Missing&lt;/th&gt;&lt;td&gt;0&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Missing (%)&lt;/th&gt;&lt;td&gt;0.0%&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Memory size&lt;/th&gt;&lt;td&gt;55.1 KiB&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div class=col-sm-6&gt;&lt;div class=&quot;col-sm- collapse in&quot; id=minifreqtable&gt;&lt;table class=&quot;mini freq&quot;&gt;&lt;tr class&gt;&lt;th width=50%&gt; 1 &lt;/th&gt;&lt;td width=50%&gt;&lt;div class=bar style=width:100.0% data-toggle=tooltip data-placement=right data-html=true data-delay=500&gt; 6352&amp;nbsp; &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;th width=50%&gt; 0 &lt;/th&gt;&lt;td width=50%&gt;&lt;div class=bar style=width:10.7% data-toggle=tooltip data-placement=right data-html=true data-delay=500&gt; 680&amp;nbsp; &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;div class=&quot;col-sm-12 text-right&quot;&gt;&lt;button class=&quot;btn btn-default btn-sm&quot; data-toggle=collapse data-target=&quot;#bottom--1010255133606759073, #minifreqtable-1010255133606759073&quot; aria-expanded=true aria-controls=collapseExample&gt;Toggle details&lt;/button&gt;&lt;/div&gt;&lt;div id=bottom--1010255133606759073 class=collapse&gt;&lt;div class=&quot;row spacing&quot;&gt;&lt;ul class=&quot;nav nav-tabs&quot; role=tablist&gt;&lt;li role=presentation class=active&gt;&lt;a href=#-1010255133606759073bottom--1010255133606759073overview aria-controls=-1010255133606759073bottom--1010255133606759073overview role=tab data-toggle=tab&gt;Overview&lt;/a&gt;&lt;/li&gt;&lt;li role=presentation&gt;&lt;a href=#-1010255133606759073bottom--1010255133606759073string aria-controls=-1010255133606759073bottom--1010255133606759073string role=tab data-toggle=tab&gt;Categories&lt;/a&gt;&lt;/li&gt;&lt;li role=presentation&gt;&lt;a href=#-1010255133606759073bottom--1010255133606759073word aria-controls=-1010255133606759073bottom--1010255133606759073word role=tab data-toggle=tab&gt;Words&lt;/a&gt;&lt;/li&gt;&lt;li role=presentation&gt;&lt;a href=#-1010255133606759073bottom--1010255133606759073characters aria-controls=-1010255133606759073bottom--1010255133606759073characters role=tab data-toggle=tab&gt;Characters&lt;/a&gt;&lt;/li&gt;&lt;/ul&gt;&lt;div class=tab-content&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12 active&quot; id=-1010255133606759073bottom--1010255133606759073overview&gt;&lt;div class=row&gt;&lt;div class=col-sm-3&gt;&lt;p class=h4&gt;Length&lt;/p&gt;&lt;table class=&quot;table table-condensed stats&quot;&gt;&lt;tbody&gt;&lt;tr&gt;&lt;th&gt;Max length&lt;/th&gt;&lt;td&gt;1&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Median length&lt;/th&gt;&lt;td&gt;1&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Mean length&lt;/th&gt;&lt;td&gt;1&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Min length&lt;/th&gt;&lt;td&gt;1&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div class=col-sm-3&gt;&lt;p class=h4&gt;Characters and Unicode&lt;/p&gt;&lt;table class=&quot;table table-condensed stats&quot;&gt;&lt;tbody&gt;&lt;tr&gt;&lt;th&gt;Total characters&lt;/th&gt;&lt;td&gt;7032&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Distinct characters&lt;/th&gt;&lt;td&gt;2&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Distinct categories&lt;/th&gt;&lt;td&gt;1 &lt;a title=&quot;Unicode categories (click for more information)&quot; href=https://en.wikipedia.org/wiki/Unicode_character_property#General_Category target=_blank&gt;&lt;span class=&quot;badge pull-right&quot; style=color:#fff;background-color:#337ab7; title=&quot;Unicode categories (click for more information)&quot;&gt;?&lt;/span&gt;&lt;/a&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Distinct scripts&lt;/th&gt;&lt;td&gt;1 &lt;a title=&quot;Unicode scripts (click for more information)&quot; href=https://en.wikipedia.org/wiki/Script_(Unicode)#List_of_scripts_in_Unicode target=_blank&gt;&lt;span class=&quot;badge pull-right&quot; style=color:#fff;background-color:#337ab7; title=&quot;Unicode scripts (click for more information)&quot;&gt;?&lt;/span&gt;&lt;/a&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Distinct blocks&lt;/th&gt;&lt;td&gt;1 &lt;a title=&quot;Unicode blocks (click for more information)&quot; href=https://en.wikipedia.org/wiki/Unicode_block target=_blank&gt;&lt;span class=&quot;badge pull-right&quot; style=color:#fff;background-color:#337ab7; title=&quot;Unicode blocks (click for more information)&quot;&gt;?&lt;/span&gt;&lt;/a&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;div class=&quot;caption text-center text-muted&quot;&gt; The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables. &lt;/div&gt;&lt;/div&gt;&lt;div class=col-sm-3&gt;&lt;p class=h4&gt;Unique&lt;/p&gt;&lt;table class=&quot;table table-condensed stats&quot;&gt;&lt;tbody&gt;&lt;tr&gt;&lt;th&gt;Unique&lt;/th&gt;&lt;td&gt;0 &lt;span class=&quot;badge pull-right&quot; style=color:#fff;background-color:#337ab7; title=&quot;The number of unique values (all values that occur exactly once in the dataset).&quot;&gt;?&lt;/span&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Unique (%)&lt;/th&gt;&lt;td&gt;0.0%&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div class=col-sm-3&gt;&lt;p class=h4&gt;Sample&lt;/p&gt;&lt;table class=&quot;table table-condensed stats&quot;&gt;&lt;tbody&gt;&lt;tr&gt;&lt;th&gt;1st row&lt;/th&gt;&lt;td&gt;0&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;2nd row&lt;/th&gt;&lt;td&gt;1&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;3rd row&lt;/th&gt;&lt;td&gt;1&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;4th row&lt;/th&gt;&lt;td&gt;0&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;5th row&lt;/th&gt;&lt;td&gt;1&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12&quot; 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id=-1010255133606759073bottom--1010255133606759073characters&gt;&lt;div class=col-sm-12&gt;&lt;div class=&quot;row spacing&quot;&gt;&lt;ul class=&quot;nav nav-tabs&quot; role=tablist&gt;&lt;li role=presentation class=active&gt;&lt;a href=#-1010255133606759073unicode--1010255133606759073characters aria-controls=-1010255133606759073unicode--1010255133606759073characters role=tab data-toggle=tab&gt;Characters&lt;/a&gt;&lt;/li&gt;&lt;li role=presentation&gt;&lt;a href=#-1010255133606759073unicode--1010255133606759073categories aria-controls=-1010255133606759073unicode--1010255133606759073categories role=tab data-toggle=tab&gt;Categories&lt;/a&gt;&lt;/li&gt;&lt;li role=presentation&gt;&lt;a href=#-1010255133606759073unicode--1010255133606759073scripts aria-controls=-1010255133606759073unicode--1010255133606759073scripts role=tab data-toggle=tab&gt;Scripts&lt;/a&gt;&lt;/li&gt;&lt;li role=presentation&gt;&lt;a href=#-1010255133606759073unicode--1010255133606759073blocks aria-controls=-1010255133606759073unicode--1010255133606759073blocks role=tab data-toggle=tab&gt;Blocks&lt;/a&gt;&lt;/li&gt;&lt;/ul&gt;&lt;div class=tab-content&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12 active&quot; id=-1010255133606759073unicode--1010255133606759073characters&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most occurring characters&lt;/h4&gt;&lt;table class=&quot;freq table table-hover table-striped&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=1&gt;1&lt;/td&gt;&lt;td&gt;6352&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 90.3% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=0&gt;0&lt;/td&gt;&lt;td&gt;680&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:10.7%&gt; &amp;nbsp; &lt;/div&gt; 9.7% &lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12&quot; id=-1010255133606759073unicode--1010255133606759073categories&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most occurring categories&lt;/h4&gt;&lt;table class=&quot;freq table table-hover table-striped&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=&quot;Decimal Number&quot;&gt;Decimal Number&lt;/td&gt;&lt;td&gt;7032&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 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100.0% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most frequent character per script&lt;/h4&gt;&lt;div class=row&gt;&lt;div class=col-sm-6&gt;&lt;h5&gt;&lt;em&gt;Common&lt;/em&gt;&lt;/h5&gt;&lt;table class=&quot;freq table table-hover table-striped&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=1&gt;1&lt;/td&gt;&lt;td&gt;6352&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 90.3% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=0&gt;0&lt;/td&gt;&lt;td&gt;680&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:10.7%&gt; &amp;nbsp; &lt;/div&gt; 9.7% &lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12&quot; id=-1010255133606759073unicode--1010255133606759073blocks&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most occurring blocks&lt;/h4&gt;&lt;table class=&quot;freq table table-hover table-striped&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=ASCII&gt;ASCII&lt;/td&gt;&lt;td&gt;7032&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 100.0% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most frequent character per block&lt;/h4&gt;&lt;div class=row&gt;&lt;div class=col-sm-6&gt;&lt;h5&gt;&lt;em&gt;ASCII&lt;/em&gt;&lt;/h5&gt;&lt;table class=&quot;freq table table-hover table-striped&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=1&gt;1&lt;/td&gt;&lt;td&gt;6352&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 90.3% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=0&gt;0&lt;/td&gt;&lt;td&gt;680&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:10.7%&gt; &amp;nbsp; &lt;/div&gt; 9.7% &lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;div class=&quot;row spacing&quot;&gt;&lt;a class=&quot;anchor-pos anchor-pos-variable&quot; 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id=minifreqtable&gt;&lt;table class=&quot;mini freq&quot;&gt;&lt;tr class&gt;&lt;th width=50%&gt; 0 &lt;/th&gt;&lt;td width=50%&gt;&lt;div class=bar style=width:100.0% data-toggle=tooltip data-placement=right data-html=true data-delay=500&gt; 3385&amp;nbsp; &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;th width=50%&gt; 2 &lt;/th&gt;&lt;td width=50%&gt;&lt;div class=bar style=width:87.7% data-toggle=tooltip data-placement=right data-html=true data-delay=500&gt; 2967&amp;nbsp; &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;th width=50%&gt; 1 &lt;/th&gt;&lt;td width=50%&gt;&lt;div class=bar style=width:20.1% data-toggle=tooltip data-placement=right data-html=true data-delay=500&gt; 680&amp;nbsp; &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;div class=&quot;col-sm-12 text-right&quot;&gt;&lt;button class=&quot;btn btn-default btn-sm&quot; data-toggle=collapse data-target=&quot;#bottom-410989176366390708, #minifreqtable410989176366390708&quot; aria-expanded=true aria-controls=collapseExample&gt;Toggle details&lt;/button&gt;&lt;/div&gt;&lt;div id=bottom-410989176366390708 class=collapse&gt;&lt;div class=&quot;row spacing&quot;&gt;&lt;ul class=&quot;nav nav-tabs&quot; role=tablist&gt;&lt;li role=presentation class=active&gt;&lt;a href=#410989176366390708bottom-410989176366390708overview aria-controls=410989176366390708bottom-410989176366390708overview role=tab data-toggle=tab&gt;Overview&lt;/a&gt;&lt;/li&gt;&lt;li role=presentation&gt;&lt;a href=#410989176366390708bottom-410989176366390708string aria-controls=410989176366390708bottom-410989176366390708string role=tab data-toggle=tab&gt;Categories&lt;/a&gt;&lt;/li&gt;&lt;li role=presentation&gt;&lt;a href=#410989176366390708bottom-410989176366390708word aria-controls=410989176366390708bottom-410989176366390708word role=tab data-toggle=tab&gt;Words&lt;/a&gt;&lt;/li&gt;&lt;li role=presentation&gt;&lt;a href=#410989176366390708bottom-410989176366390708characters aria-controls=410989176366390708bottom-410989176366390708characters role=tab data-toggle=tab&gt;Characters&lt;/a&gt;&lt;/li&gt;&lt;/ul&gt;&lt;div class=tab-content&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12 active&quot; id=410989176366390708bottom-410989176366390708overview&gt;&lt;div class=row&gt;&lt;div class=col-sm-3&gt;&lt;p class=h4&gt;Length&lt;/p&gt;&lt;table class=&quot;table table-condensed stats&quot;&gt;&lt;tbody&gt;&lt;tr&gt;&lt;th&gt;Max length&lt;/th&gt;&lt;td&gt;1&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Median length&lt;/th&gt;&lt;td&gt;1&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Mean length&lt;/th&gt;&lt;td&gt;1&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Min length&lt;/th&gt;&lt;td&gt;1&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div class=col-sm-3&gt;&lt;p class=h4&gt;Characters and Unicode&lt;/p&gt;&lt;table class=&quot;table table-condensed stats&quot;&gt;&lt;tbody&gt;&lt;tr&gt;&lt;th&gt;Total characters&lt;/th&gt;&lt;td&gt;7032&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Distinct characters&lt;/th&gt;&lt;td&gt;3&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Distinct categories&lt;/th&gt;&lt;td&gt;1 &lt;a title=&quot;Unicode categories (click for more information)&quot; 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title=&quot;Unicode blocks (click for more information)&quot;&gt;?&lt;/span&gt;&lt;/a&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;div class=&quot;caption text-center text-muted&quot;&gt; The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables. &lt;/div&gt;&lt;/div&gt;&lt;div class=col-sm-3&gt;&lt;p class=h4&gt;Unique&lt;/p&gt;&lt;table class=&quot;table table-condensed stats&quot;&gt;&lt;tbody&gt;&lt;tr&gt;&lt;th&gt;Unique&lt;/th&gt;&lt;td&gt;0 &lt;span class=&quot;badge pull-right&quot; style=color:#fff;background-color:#337ab7; title=&quot;The number of unique values (all values that occur exactly once in the dataset).&quot;&gt;?&lt;/span&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Unique (%)&lt;/th&gt;&lt;td&gt;0.0%&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div class=col-sm-3&gt;&lt;p class=h4&gt;Sample&lt;/p&gt;&lt;table class=&quot;table table-condensed stats&quot;&gt;&lt;tbody&gt;&lt;tr&gt;&lt;th&gt;1st row&lt;/th&gt;&lt;td&gt;1&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;2nd row&lt;/th&gt;&lt;td&gt;0&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;3rd row&lt;/th&gt;&lt;td&gt;0&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;4th row&lt;/th&gt;&lt;td&gt;1&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;5th row&lt;/th&gt;&lt;td&gt;0&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12&quot; 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id=410989176366390708unicode-410989176366390708characters&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most occurring characters&lt;/h4&gt;&lt;table class=&quot;freq table table-hover table-striped&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=0&gt;0&lt;/td&gt;&lt;td&gt;3385&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 48.1% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=2&gt;2&lt;/td&gt;&lt;td&gt;2967&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:87.7%&gt; 42.2% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=1&gt;1&lt;/td&gt;&lt;td&gt;680&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:20.1%&gt; &amp;nbsp; &lt;/div&gt; 9.7% &lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12&quot; id=410989176366390708unicode-410989176366390708categories&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most occurring categories&lt;/h4&gt;&lt;table class=&quot;freq table table-hover table-striped&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=&quot;Decimal Number&quot;&gt;Decimal Number&lt;/td&gt;&lt;td&gt;7032&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 100.0% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most frequent character per category&lt;/h4&gt;&lt;div class=row&gt;&lt;div class=col-sm-6&gt;&lt;h5&gt;&lt;em&gt;Decimal Number&lt;/em&gt;&lt;/h5&gt;&lt;table class=&quot;freq table table-hover table-striped&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=0&gt;0&lt;/td&gt;&lt;td&gt;3385&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 48.1% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=2&gt;2&lt;/td&gt;&lt;td&gt;2967&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:87.7%&gt; 42.2% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=1&gt;1&lt;/td&gt;&lt;td&gt;680&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:20.1%&gt; &amp;nbsp; &lt;/div&gt; 9.7% &lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12&quot; id=410989176366390708unicode-410989176366390708scripts&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most occurring scripts&lt;/h4&gt;&lt;table class=&quot;freq table table-hover table-striped&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=Common&gt;Common&lt;/td&gt;&lt;td&gt;7032&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 100.0% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most frequent character per script&lt;/h4&gt;&lt;div class=row&gt;&lt;div class=col-sm-6&gt;&lt;h5&gt;&lt;em&gt;Common&lt;/em&gt;&lt;/h5&gt;&lt;table class=&quot;freq table table-hover table-striped&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=0&gt;0&lt;/td&gt;&lt;td&gt;3385&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 48.1% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=2&gt;2&lt;/td&gt;&lt;td&gt;2967&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:87.7%&gt; 42.2% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=1&gt;1&lt;/td&gt;&lt;td&gt;680&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:20.1%&gt; &amp;nbsp; &lt;/div&gt; 9.7% &lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12&quot; id=410989176366390708unicode-410989176366390708blocks&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most occurring blocks&lt;/h4&gt;&lt;table class=&quot;freq table table-hover table-striped&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=ASCII&gt;ASCII&lt;/td&gt;&lt;td&gt;7032&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 100.0% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most frequent character per block&lt;/h4&gt;&lt;div class=row&gt;&lt;div class=col-sm-6&gt;&lt;h5&gt;&lt;em&gt;ASCII&lt;/em&gt;&lt;/h5&gt;&lt;table class=&quot;freq table table-hover table-striped&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=0&gt;0&lt;/td&gt;&lt;td&gt;3385&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 48.1% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=2&gt;2&lt;/td&gt;&lt;td&gt;2967&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:87.7%&gt; 42.2% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=1&gt;1&lt;/td&gt;&lt;td&gt;680&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:20.1%&gt; &amp;nbsp; &lt;/div&gt; 9.7% &lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;div class=&quot;row spacing&quot;&gt;&lt;a class=&quot;anchor-pos anchor-pos-variable&quot; id=pp_var_4476884260687955866&gt;&lt;/a&gt;&lt;div class=variable&gt;&lt;div class=col-sm-3&gt;&lt;p class=h4 title=InternetService&gt;&lt;a href=#pp_var_4476884260687955866&gt;InternetService&lt;/a&gt;&lt;br&gt;&lt;small&gt;Categorical&lt;/small&gt;&lt;/p&gt;&lt;code&gt;&lt;abbr title=&quot;This variable has a high correlation with 10 fields: StreamingMovies, Contract, TotalCharges, OnlineSecurity, OnlineBackup, StreamingTV, MonthlyCharges, DeviceProtection, TechSupport, MultipleLines&quot;&gt;HIGH CORRELATION&lt;/abbr&gt;&lt;/code&gt;&lt;br&gt;&lt;code&gt;&lt;abbr title=&quot;This variable has a high correlation with 6 fields: StreamingMovies, StreamingTV, DeviceProtection, TechSupport, OnlineSecurity, OnlineBackup&quot;&gt;HIGH CORRELATION&lt;/abbr&gt;&lt;/code&gt;&lt;br&gt;&lt;p class=variable-description&gt;&lt;/p&gt;&lt;/div&gt;&lt;div class=col-sm-3&gt;&lt;table class=&quot;table table-condensed stats&quot;&gt;&lt;tbody&gt;&lt;tr&gt;&lt;th&gt;Distinct&lt;/th&gt;&lt;td&gt;3&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Distinct (%)&lt;/th&gt;&lt;td&gt;&lt; 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title=&quot;Unicode blocks (click for more information)&quot;&gt;?&lt;/span&gt;&lt;/a&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;div class=&quot;caption text-center text-muted&quot;&gt; The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables. &lt;/div&gt;&lt;/div&gt;&lt;div class=col-sm-3&gt;&lt;p class=h4&gt;Unique&lt;/p&gt;&lt;table class=&quot;table table-condensed stats&quot;&gt;&lt;tbody&gt;&lt;tr&gt;&lt;th&gt;Unique&lt;/th&gt;&lt;td&gt;0 &lt;span class=&quot;badge pull-right&quot; style=color:#fff;background-color:#337ab7; title=&quot;The number of unique values (all values that occur exactly once in the dataset).&quot;&gt;?&lt;/span&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Unique (%)&lt;/th&gt;&lt;td&gt;0.0%&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div class=col-sm-3&gt;&lt;p class=h4&gt;Sample&lt;/p&gt;&lt;table class=&quot;table table-condensed stats&quot;&gt;&lt;tbody&gt;&lt;tr&gt;&lt;th&gt;1st row&lt;/th&gt;&lt;td&gt;0&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;2nd row&lt;/th&gt;&lt;td&gt;0&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;3rd row&lt;/th&gt;&lt;td&gt;0&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;4th row&lt;/th&gt;&lt;td&gt;0&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;5th row&lt;/th&gt;&lt;td&gt;1&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12&quot; 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21.6% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12&quot; id=4476884260687955866bottom-4476884260687955866characters&gt;&lt;div class=col-sm-12&gt;&lt;div class=&quot;row spacing&quot;&gt;&lt;ul class=&quot;nav nav-tabs&quot; role=tablist&gt;&lt;li role=presentation class=active&gt;&lt;a href=#4476884260687955866unicode-4476884260687955866characters aria-controls=4476884260687955866unicode-4476884260687955866characters role=tab data-toggle=tab&gt;Characters&lt;/a&gt;&lt;/li&gt;&lt;li role=presentation&gt;&lt;a href=#4476884260687955866unicode-4476884260687955866categories aria-controls=4476884260687955866unicode-4476884260687955866categories role=tab data-toggle=tab&gt;Categories&lt;/a&gt;&lt;/li&gt;&lt;li role=presentation&gt;&lt;a href=#4476884260687955866unicode-4476884260687955866scripts aria-controls=4476884260687955866unicode-4476884260687955866scripts role=tab data-toggle=tab&gt;Scripts&lt;/a&gt;&lt;/li&gt;&lt;li role=presentation&gt;&lt;a href=#4476884260687955866unicode-4476884260687955866blocks aria-controls=4476884260687955866unicode-4476884260687955866blocks role=tab data-toggle=tab&gt;Blocks&lt;/a&gt;&lt;/li&gt;&lt;/ul&gt;&lt;div class=tab-content&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12 active&quot; id=4476884260687955866unicode-4476884260687955866characters&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most occurring characters&lt;/h4&gt;&lt;table class=&quot;freq table table-hover table-striped&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=1&gt;1&lt;/td&gt;&lt;td&gt;3096&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 44.0% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=0&gt;0&lt;/td&gt;&lt;td&gt;2416&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:78.0%&gt; 34.4% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=2&gt;2&lt;/td&gt;&lt;td&gt;1520&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:49.1%&gt; 21.6% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12&quot; id=4476884260687955866unicode-4476884260687955866categories&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most occurring categories&lt;/h4&gt;&lt;table class=&quot;freq table table-hover table-striped&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=&quot;Decimal Number&quot;&gt;Decimal Number&lt;/td&gt;&lt;td&gt;7032&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 100.0% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most frequent character per category&lt;/h4&gt;&lt;div class=row&gt;&lt;div class=col-sm-6&gt;&lt;h5&gt;&lt;em&gt;Decimal Number&lt;/em&gt;&lt;/h5&gt;&lt;table class=&quot;freq table table-hover table-striped&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=1&gt;1&lt;/td&gt;&lt;td&gt;3096&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 44.0% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=0&gt;0&lt;/td&gt;&lt;td&gt;2416&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:78.0%&gt; 34.4% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=2&gt;2&lt;/td&gt;&lt;td&gt;1520&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:49.1%&gt; 21.6% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12&quot; id=4476884260687955866unicode-4476884260687955866scripts&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most occurring scripts&lt;/h4&gt;&lt;table class=&quot;freq table table-hover table-striped&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=Common&gt;Common&lt;/td&gt;&lt;td&gt;7032&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 100.0% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most frequent character per script&lt;/h4&gt;&lt;div class=row&gt;&lt;div class=col-sm-6&gt;&lt;h5&gt;&lt;em&gt;Common&lt;/em&gt;&lt;/h5&gt;&lt;table class=&quot;freq table table-hover table-striped&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=1&gt;1&lt;/td&gt;&lt;td&gt;3096&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 44.0% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=0&gt;0&lt;/td&gt;&lt;td&gt;2416&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:78.0%&gt; 34.4% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=2&gt;2&lt;/td&gt;&lt;td&gt;1520&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:49.1%&gt; 21.6% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12&quot; id=4476884260687955866unicode-4476884260687955866blocks&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most occurring blocks&lt;/h4&gt;&lt;table class=&quot;freq table table-hover table-striped&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=ASCII&gt;ASCII&lt;/td&gt;&lt;td&gt;7032&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 100.0% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most frequent character per block&lt;/h4&gt;&lt;div class=row&gt;&lt;div class=col-sm-6&gt;&lt;h5&gt;&lt;em&gt;ASCII&lt;/em&gt;&lt;/h5&gt;&lt;table class=&quot;freq table table-hover table-striped&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=1&gt;1&lt;/td&gt;&lt;td&gt;3096&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 44.0% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=0&gt;0&lt;/td&gt;&lt;td&gt;2416&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:78.0%&gt; 34.4% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=2&gt;2&lt;/td&gt;&lt;td&gt;1520&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:49.1%&gt; 21.6% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;div class=&quot;row spacing&quot;&gt;&lt;a class=&quot;anchor-pos anchor-pos-variable&quot; id=pp_var_-6626815579810389679&gt;&lt;/a&gt;&lt;div class=variable&gt;&lt;div class=col-sm-3&gt;&lt;p class=h4 title=OnlineSecurity&gt;&lt;a href=#pp_var_-6626815579810389679&gt;OnlineSecurity&lt;/a&gt;&lt;br&gt;&lt;small&gt;Categorical&lt;/small&gt;&lt;/p&gt;&lt;code&gt;&lt;abbr title=&quot;This variable has a high correlation with 10 fields: StreamingMovies, Contract, TotalCharges, InternetService, OnlineBackup, StreamingTV, MonthlyCharges, DeviceProtection, TechSupport, MultipleLines&quot;&gt;HIGH CORRELATION&lt;/abbr&gt;&lt;/code&gt;&lt;br&gt;&lt;code&gt;&lt;abbr title=&quot;This variable has a high correlation with 6 fields: StreamingMovies, StreamingTV, DeviceProtection, TechSupport, OnlineBackup, InternetService&quot;&gt;HIGH CORRELATION&lt;/abbr&gt;&lt;/code&gt;&lt;br&gt;&lt;p class=variable-description&gt;&lt;/p&gt;&lt;/div&gt;&lt;div class=col-sm-3&gt;&lt;table class=&quot;table table-condensed stats&quot;&gt;&lt;tbody&gt;&lt;tr&gt;&lt;th&gt;Distinct&lt;/th&gt;&lt;td&gt;3&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Distinct (%)&lt;/th&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Missing&lt;/th&gt;&lt;td&gt;0&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Missing (%)&lt;/th&gt;&lt;td&gt;0.0%&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Memory size&lt;/th&gt;&lt;td&gt;55.1 KiB&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div class=col-sm-6&gt;&lt;div class=&quot;col-sm- collapse in&quot; id=minifreqtable&gt;&lt;table class=&quot;mini freq&quot;&gt;&lt;tr class&gt;&lt;th width=50%&gt; 0 &lt;/th&gt;&lt;td width=50%&gt;&lt;div class=bar style=width:100.0% data-toggle=tooltip data-placement=right data-html=true data-delay=500&gt; 3497&amp;nbsp; &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;th width=50%&gt; 2 &lt;/th&gt;&lt;td width=50%&gt;&lt;div class=bar style=width:57.6% data-toggle=tooltip data-placement=right data-html=true data-delay=500&gt; 2015&amp;nbsp; &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;th width=50%&gt; 1 &lt;/th&gt;&lt;td width=50%&gt;&lt;div class=bar style=width:43.5% data-toggle=tooltip data-placement=right data-html=true data-delay=500&gt; 1520&amp;nbsp; &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;div class=&quot;col-sm-12 text-right&quot;&gt;&lt;button class=&quot;btn btn-default btn-sm&quot; data-toggle=collapse data-target=&quot;#bottom--6626815579810389679, #minifreqtable-6626815579810389679&quot; aria-expanded=true aria-controls=collapseExample&gt;Toggle details&lt;/button&gt;&lt;/div&gt;&lt;div id=bottom--6626815579810389679 class=collapse&gt;&lt;div class=&quot;row spacing&quot;&gt;&lt;ul class=&quot;nav nav-tabs&quot; role=tablist&gt;&lt;li role=presentation class=active&gt;&lt;a href=#-6626815579810389679bottom--6626815579810389679overview aria-controls=-6626815579810389679bottom--6626815579810389679overview role=tab data-toggle=tab&gt;Overview&lt;/a&gt;&lt;/li&gt;&lt;li role=presentation&gt;&lt;a href=#-6626815579810389679bottom--6626815579810389679string aria-controls=-6626815579810389679bottom--6626815579810389679string role=tab data-toggle=tab&gt;Categories&lt;/a&gt;&lt;/li&gt;&lt;li role=presentation&gt;&lt;a href=#-6626815579810389679bottom--6626815579810389679word aria-controls=-6626815579810389679bottom--6626815579810389679word role=tab data-toggle=tab&gt;Words&lt;/a&gt;&lt;/li&gt;&lt;li role=presentation&gt;&lt;a href=#-6626815579810389679bottom--6626815579810389679characters aria-controls=-6626815579810389679bottom--6626815579810389679characters role=tab data-toggle=tab&gt;Characters&lt;/a&gt;&lt;/li&gt;&lt;/ul&gt;&lt;div class=tab-content&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12 active&quot; id=-6626815579810389679bottom--6626815579810389679overview&gt;&lt;div class=row&gt;&lt;div class=col-sm-3&gt;&lt;p class=h4&gt;Length&lt;/p&gt;&lt;table class=&quot;table table-condensed stats&quot;&gt;&lt;tbody&gt;&lt;tr&gt;&lt;th&gt;Max length&lt;/th&gt;&lt;td&gt;1&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Median length&lt;/th&gt;&lt;td&gt;1&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Mean length&lt;/th&gt;&lt;td&gt;1&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Min length&lt;/th&gt;&lt;td&gt;1&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div class=col-sm-3&gt;&lt;p class=h4&gt;Characters and Unicode&lt;/p&gt;&lt;table class=&quot;table table-condensed stats&quot;&gt;&lt;tbody&gt;&lt;tr&gt;&lt;th&gt;Total characters&lt;/th&gt;&lt;td&gt;7032&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Distinct characters&lt;/th&gt;&lt;td&gt;3&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Distinct categories&lt;/th&gt;&lt;td&gt;1 &lt;a title=&quot;Unicode categories (click for more information)&quot; href=https://en.wikipedia.org/wiki/Unicode_character_property#General_Category target=_blank&gt;&lt;span class=&quot;badge pull-right&quot; style=color:#fff;background-color:#337ab7; title=&quot;Unicode categories (click for more information)&quot;&gt;?&lt;/span&gt;&lt;/a&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Distinct scripts&lt;/th&gt;&lt;td&gt;1 &lt;a title=&quot;Unicode scripts (click for more information)&quot; href=https://en.wikipedia.org/wiki/Script_(Unicode)#List_of_scripts_in_Unicode target=_blank&gt;&lt;span class=&quot;badge pull-right&quot; style=color:#fff;background-color:#337ab7; title=&quot;Unicode scripts (click for more information)&quot;&gt;?&lt;/span&gt;&lt;/a&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Distinct blocks&lt;/th&gt;&lt;td&gt;1 &lt;a title=&quot;Unicode blocks (click for more information)&quot; href=https://en.wikipedia.org/wiki/Unicode_block target=_blank&gt;&lt;span class=&quot;badge pull-right&quot; style=color:#fff;background-color:#337ab7; title=&quot;Unicode blocks (click for more information)&quot;&gt;?&lt;/span&gt;&lt;/a&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;div class=&quot;caption text-center text-muted&quot;&gt; The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables. &lt;/div&gt;&lt;/div&gt;&lt;div class=col-sm-3&gt;&lt;p class=h4&gt;Unique&lt;/p&gt;&lt;table class=&quot;table table-condensed stats&quot;&gt;&lt;tbody&gt;&lt;tr&gt;&lt;th&gt;Unique&lt;/th&gt;&lt;td&gt;0 &lt;span class=&quot;badge pull-right&quot; style=color:#fff;background-color:#337ab7; title=&quot;The number of unique values (all values that occur exactly once in the dataset).&quot;&gt;?&lt;/span&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Unique (%)&lt;/th&gt;&lt;td&gt;0.0%&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div class=col-sm-3&gt;&lt;p class=h4&gt;Sample&lt;/p&gt;&lt;table class=&quot;table table-condensed stats&quot;&gt;&lt;tbody&gt;&lt;tr&gt;&lt;th&gt;1st row&lt;/th&gt;&lt;td&gt;0&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;2nd row&lt;/th&gt;&lt;td&gt;2&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;3rd row&lt;/th&gt;&lt;td&gt;2&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;4th row&lt;/th&gt;&lt;td&gt;2&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;5th row&lt;/th&gt;&lt;td&gt;0&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12&quot; id=-6626815579810389679bottom--6626815579810389679string&gt;&lt;div class=row&gt;&lt;div class=col-sm-4&gt;&lt;h4&gt;Common Values&lt;/h4&gt;&lt;table class=&quot;freq table table-hover table-striped&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=0&gt;0&lt;/td&gt;&lt;td&gt;3497&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 49.7% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=2&gt;2&lt;/td&gt;&lt;td&gt;2015&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:57.6%&gt; 28.7% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=1&gt;1&lt;/td&gt;&lt;td&gt;1520&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:43.5%&gt; 21.6% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div class=col-sm-4&gt;&lt;h4&gt;Length&lt;/h4&gt;&lt;?xml version=&quot;1.0&quot; encoding=&quot;utf-8&quot; standalone=&quot;no&quot;?&gt;&lt;!DOCTYPE svg class=&quot;img-responsive center-img&quot;PUBLIC &quot;-//W3C//DTD SVG 1.1//EN&quot;\n",
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-       "&quot;/&gt;&lt;/g&gt;&lt;g id=text_6&gt;&lt;g style=fill:#262626; transform=&quot;translate(430.129062 91.968437)scale(0.1 -0.1)&quot;&gt;&lt;use xlink:href=#ArialMT-49 /&gt;&lt;/g&gt;&lt;/g&gt;&lt;/g&gt;&lt;/g&gt;&lt;/g&gt;&lt;/svg&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12&quot; id=-6626815579810389679bottom--6626815579810389679word&gt;&lt;div class=col-sm-12&gt;&lt;table class=&quot;freq table table-hover table-striped&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=0&gt;0&lt;/td&gt;&lt;td&gt;3497&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 49.7% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=2&gt;2&lt;/td&gt;&lt;td&gt;2015&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:57.6%&gt; 28.7% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=1&gt;1&lt;/td&gt;&lt;td&gt;1520&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:43.5%&gt; 21.6% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12&quot; id=-6626815579810389679bottom--6626815579810389679characters&gt;&lt;div class=col-sm-12&gt;&lt;div class=&quot;row spacing&quot;&gt;&lt;ul class=&quot;nav nav-tabs&quot; role=tablist&gt;&lt;li role=presentation class=active&gt;&lt;a href=#-6626815579810389679unicode--6626815579810389679characters aria-controls=-6626815579810389679unicode--6626815579810389679characters role=tab data-toggle=tab&gt;Characters&lt;/a&gt;&lt;/li&gt;&lt;li role=presentation&gt;&lt;a href=#-6626815579810389679unicode--6626815579810389679categories aria-controls=-6626815579810389679unicode--6626815579810389679categories role=tab data-toggle=tab&gt;Categories&lt;/a&gt;&lt;/li&gt;&lt;li role=presentation&gt;&lt;a href=#-6626815579810389679unicode--6626815579810389679scripts aria-controls=-6626815579810389679unicode--6626815579810389679scripts role=tab data-toggle=tab&gt;Scripts&lt;/a&gt;&lt;/li&gt;&lt;li role=presentation&gt;&lt;a href=#-6626815579810389679unicode--6626815579810389679blocks aria-controls=-6626815579810389679unicode--6626815579810389679blocks role=tab data-toggle=tab&gt;Blocks&lt;/a&gt;&lt;/li&gt;&lt;/ul&gt;&lt;div class=tab-content&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12 active&quot; id=-6626815579810389679unicode--6626815579810389679characters&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most occurring characters&lt;/h4&gt;&lt;table class=&quot;freq table table-hover table-striped&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=0&gt;0&lt;/td&gt;&lt;td&gt;3497&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 49.7% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=2&gt;2&lt;/td&gt;&lt;td&gt;2015&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:57.6%&gt; 28.7% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=1&gt;1&lt;/td&gt;&lt;td&gt;1520&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:43.5%&gt; 21.6% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12&quot; id=-6626815579810389679unicode--6626815579810389679categories&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most occurring categories&lt;/h4&gt;&lt;table class=&quot;freq table table-hover table-striped&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=&quot;Decimal Number&quot;&gt;Decimal Number&lt;/td&gt;&lt;td&gt;7032&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 100.0% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most frequent character per category&lt;/h4&gt;&lt;div class=row&gt;&lt;div class=col-sm-6&gt;&lt;h5&gt;&lt;em&gt;Decimal Number&lt;/em&gt;&lt;/h5&gt;&lt;table class=&quot;freq table table-hover table-striped&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=0&gt;0&lt;/td&gt;&lt;td&gt;3497&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 49.7% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=2&gt;2&lt;/td&gt;&lt;td&gt;2015&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:57.6%&gt; 28.7% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=1&gt;1&lt;/td&gt;&lt;td&gt;1520&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:43.5%&gt; 21.6% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12&quot; id=-6626815579810389679unicode--6626815579810389679scripts&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most occurring scripts&lt;/h4&gt;&lt;table class=&quot;freq table table-hover table-striped&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=Common&gt;Common&lt;/td&gt;&lt;td&gt;7032&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 100.0% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most frequent character per script&lt;/h4&gt;&lt;div class=row&gt;&lt;div class=col-sm-6&gt;&lt;h5&gt;&lt;em&gt;Common&lt;/em&gt;&lt;/h5&gt;&lt;table class=&quot;freq table table-hover table-striped&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=0&gt;0&lt;/td&gt;&lt;td&gt;3497&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 49.7% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=2&gt;2&lt;/td&gt;&lt;td&gt;2015&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:57.6%&gt; 28.7% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=1&gt;1&lt;/td&gt;&lt;td&gt;1520&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:43.5%&gt; 21.6% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12&quot; id=-6626815579810389679unicode--6626815579810389679blocks&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most occurring blocks&lt;/h4&gt;&lt;table class=&quot;freq table table-hover table-striped&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=ASCII&gt;ASCII&lt;/td&gt;&lt;td&gt;7032&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 100.0% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most frequent character per block&lt;/h4&gt;&lt;div class=row&gt;&lt;div class=col-sm-6&gt;&lt;h5&gt;&lt;em&gt;ASCII&lt;/em&gt;&lt;/h5&gt;&lt;table class=&quot;freq table table-hover table-striped&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=0&gt;0&lt;/td&gt;&lt;td&gt;3497&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 49.7% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=2&gt;2&lt;/td&gt;&lt;td&gt;2015&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:57.6%&gt; 28.7% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=1&gt;1&lt;/td&gt;&lt;td&gt;1520&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:43.5%&gt; 21.6% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;div class=&quot;row spacing&quot;&gt;&lt;a class=&quot;anchor-pos anchor-pos-variable&quot; id=pp_var_-8012696920752743076&gt;&lt;/a&gt;&lt;div class=variable&gt;&lt;div class=col-sm-3&gt;&lt;p class=h4 title=OnlineBackup&gt;&lt;a href=#pp_var_-8012696920752743076&gt;OnlineBackup&lt;/a&gt;&lt;br&gt;&lt;small&gt;Categorical&lt;/small&gt;&lt;/p&gt;&lt;code&gt;&lt;abbr title=&quot;This variable has a high correlation with 10 fields: StreamingMovies, Contract, TotalCharges, OnlineSecurity, InternetService, StreamingTV, MonthlyCharges, DeviceProtection, TechSupport, MultipleLines&quot;&gt;HIGH CORRELATION&lt;/abbr&gt;&lt;/code&gt;&lt;br&gt;&lt;code&gt;&lt;abbr title=&quot;This variable has a high correlation with 6 fields: StreamingMovies, StreamingTV, DeviceProtection, TechSupport, OnlineSecurity, InternetService&quot;&gt;HIGH CORRELATION&lt;/abbr&gt;&lt;/code&gt;&lt;br&gt;&lt;p class=variable-description&gt;&lt;/p&gt;&lt;/div&gt;&lt;div class=col-sm-3&gt;&lt;table class=&quot;table table-condensed stats&quot;&gt;&lt;tbody&gt;&lt;tr&gt;&lt;th&gt;Distinct&lt;/th&gt;&lt;td&gt;3&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Distinct (%)&lt;/th&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Missing&lt;/th&gt;&lt;td&gt;0&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Missing (%)&lt;/th&gt;&lt;td&gt;0.0%&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Memory size&lt;/th&gt;&lt;td&gt;55.1 KiB&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div class=col-sm-6&gt;&lt;div class=&quot;col-sm- collapse in&quot; id=minifreqtable&gt;&lt;table class=&quot;mini freq&quot;&gt;&lt;tr class&gt;&lt;th width=50%&gt; 0 &lt;/th&gt;&lt;td width=50%&gt;&lt;div class=bar style=width:100.0% data-toggle=tooltip data-placement=right data-html=true data-delay=500&gt; 3087&amp;nbsp; &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;th width=50%&gt; 2 &lt;/th&gt;&lt;td width=50%&gt;&lt;div class=bar style=width:78.6% data-toggle=tooltip data-placement=right data-html=true data-delay=500&gt; 2425&amp;nbsp; &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;th width=50%&gt; 1 &lt;/th&gt;&lt;td width=50%&gt;&lt;div class=bar style=width:49.2% data-toggle=tooltip data-placement=right data-html=true data-delay=500&gt; 1520&amp;nbsp; &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;div class=&quot;col-sm-12 text-right&quot;&gt;&lt;button class=&quot;btn btn-default btn-sm&quot; data-toggle=collapse data-target=&quot;#bottom--8012696920752743076, #minifreqtable-8012696920752743076&quot; aria-expanded=true aria-controls=collapseExample&gt;Toggle details&lt;/button&gt;&lt;/div&gt;&lt;div id=bottom--8012696920752743076 class=collapse&gt;&lt;div class=&quot;row spacing&quot;&gt;&lt;ul class=&quot;nav nav-tabs&quot; role=tablist&gt;&lt;li role=presentation class=active&gt;&lt;a href=#-8012696920752743076bottom--8012696920752743076overview aria-controls=-8012696920752743076bottom--8012696920752743076overview role=tab data-toggle=tab&gt;Overview&lt;/a&gt;&lt;/li&gt;&lt;li role=presentation&gt;&lt;a href=#-8012696920752743076bottom--8012696920752743076string aria-controls=-8012696920752743076bottom--8012696920752743076string role=tab data-toggle=tab&gt;Categories&lt;/a&gt;&lt;/li&gt;&lt;li role=presentation&gt;&lt;a href=#-8012696920752743076bottom--8012696920752743076word aria-controls=-8012696920752743076bottom--8012696920752743076word role=tab data-toggle=tab&gt;Words&lt;/a&gt;&lt;/li&gt;&lt;li role=presentation&gt;&lt;a href=#-8012696920752743076bottom--8012696920752743076characters aria-controls=-8012696920752743076bottom--8012696920752743076characters role=tab data-toggle=tab&gt;Characters&lt;/a&gt;&lt;/li&gt;&lt;/ul&gt;&lt;div class=tab-content&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12 active&quot; id=-8012696920752743076bottom--8012696920752743076overview&gt;&lt;div class=row&gt;&lt;div class=col-sm-3&gt;&lt;p class=h4&gt;Length&lt;/p&gt;&lt;table class=&quot;table table-condensed stats&quot;&gt;&lt;tbody&gt;&lt;tr&gt;&lt;th&gt;Max length&lt;/th&gt;&lt;td&gt;1&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Median length&lt;/th&gt;&lt;td&gt;1&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Mean length&lt;/th&gt;&lt;td&gt;1&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Min length&lt;/th&gt;&lt;td&gt;1&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div class=col-sm-3&gt;&lt;p class=h4&gt;Characters and Unicode&lt;/p&gt;&lt;table class=&quot;table table-condensed stats&quot;&gt;&lt;tbody&gt;&lt;tr&gt;&lt;th&gt;Total characters&lt;/th&gt;&lt;td&gt;7032&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Distinct characters&lt;/th&gt;&lt;td&gt;3&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Distinct categories&lt;/th&gt;&lt;td&gt;1 &lt;a title=&quot;Unicode categories (click for more information)&quot; href=https://en.wikipedia.org/wiki/Unicode_character_property#General_Category target=_blank&gt;&lt;span class=&quot;badge pull-right&quot; style=color:#fff;background-color:#337ab7; title=&quot;Unicode categories (click for more information)&quot;&gt;?&lt;/span&gt;&lt;/a&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Distinct scripts&lt;/th&gt;&lt;td&gt;1 &lt;a title=&quot;Unicode scripts (click for more information)&quot; href=https://en.wikipedia.org/wiki/Script_(Unicode)#List_of_scripts_in_Unicode target=_blank&gt;&lt;span class=&quot;badge pull-right&quot; style=color:#fff;background-color:#337ab7; title=&quot;Unicode scripts (click for more information)&quot;&gt;?&lt;/span&gt;&lt;/a&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Distinct blocks&lt;/th&gt;&lt;td&gt;1 &lt;a title=&quot;Unicode blocks (click for more information)&quot; href=https://en.wikipedia.org/wiki/Unicode_block target=_blank&gt;&lt;span class=&quot;badge pull-right&quot; style=color:#fff;background-color:#337ab7; title=&quot;Unicode blocks (click for more information)&quot;&gt;?&lt;/span&gt;&lt;/a&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;div class=&quot;caption text-center text-muted&quot;&gt; The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables. &lt;/div&gt;&lt;/div&gt;&lt;div class=col-sm-3&gt;&lt;p class=h4&gt;Unique&lt;/p&gt;&lt;table class=&quot;table table-condensed stats&quot;&gt;&lt;tbody&gt;&lt;tr&gt;&lt;th&gt;Unique&lt;/th&gt;&lt;td&gt;0 &lt;span class=&quot;badge pull-right&quot; style=color:#fff;background-color:#337ab7; title=&quot;The number of unique values (all values that occur exactly once in the dataset).&quot;&gt;?&lt;/span&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Unique (%)&lt;/th&gt;&lt;td&gt;0.0%&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div class=col-sm-3&gt;&lt;p class=h4&gt;Sample&lt;/p&gt;&lt;table class=&quot;table table-condensed stats&quot;&gt;&lt;tbody&gt;&lt;tr&gt;&lt;th&gt;1st row&lt;/th&gt;&lt;td&gt;2&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;2nd row&lt;/th&gt;&lt;td&gt;0&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;3rd row&lt;/th&gt;&lt;td&gt;2&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;4th row&lt;/th&gt;&lt;td&gt;0&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;5th row&lt;/th&gt;&lt;td&gt;0&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12&quot; 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21.6% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12&quot; id=-8012696920752743076bottom--8012696920752743076characters&gt;&lt;div class=col-sm-12&gt;&lt;div class=&quot;row spacing&quot;&gt;&lt;ul class=&quot;nav nav-tabs&quot; role=tablist&gt;&lt;li role=presentation class=active&gt;&lt;a href=#-8012696920752743076unicode--8012696920752743076characters aria-controls=-8012696920752743076unicode--8012696920752743076characters role=tab data-toggle=tab&gt;Characters&lt;/a&gt;&lt;/li&gt;&lt;li role=presentation&gt;&lt;a href=#-8012696920752743076unicode--8012696920752743076categories aria-controls=-8012696920752743076unicode--8012696920752743076categories role=tab data-toggle=tab&gt;Categories&lt;/a&gt;&lt;/li&gt;&lt;li role=presentation&gt;&lt;a href=#-8012696920752743076unicode--8012696920752743076scripts aria-controls=-8012696920752743076unicode--8012696920752743076scripts role=tab data-toggle=tab&gt;Scripts&lt;/a&gt;&lt;/li&gt;&lt;li role=presentation&gt;&lt;a href=#-8012696920752743076unicode--8012696920752743076blocks aria-controls=-8012696920752743076unicode--8012696920752743076blocks role=tab data-toggle=tab&gt;Blocks&lt;/a&gt;&lt;/li&gt;&lt;/ul&gt;&lt;div class=tab-content&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12 active&quot; id=-8012696920752743076unicode--8012696920752743076characters&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most occurring characters&lt;/h4&gt;&lt;table class=&quot;freq table table-hover table-striped&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=0&gt;0&lt;/td&gt;&lt;td&gt;3087&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 43.9% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=2&gt;2&lt;/td&gt;&lt;td&gt;2425&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:78.6%&gt; 34.5% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=1&gt;1&lt;/td&gt;&lt;td&gt;1520&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:49.2%&gt; 21.6% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12&quot; id=-8012696920752743076unicode--8012696920752743076categories&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most occurring categories&lt;/h4&gt;&lt;table class=&quot;freq table table-hover table-striped&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=&quot;Decimal Number&quot;&gt;Decimal Number&lt;/td&gt;&lt;td&gt;7032&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 100.0% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most frequent character per category&lt;/h4&gt;&lt;div class=row&gt;&lt;div class=col-sm-6&gt;&lt;h5&gt;&lt;em&gt;Decimal Number&lt;/em&gt;&lt;/h5&gt;&lt;table class=&quot;freq table table-hover table-striped&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=0&gt;0&lt;/td&gt;&lt;td&gt;3087&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 43.9% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=2&gt;2&lt;/td&gt;&lt;td&gt;2425&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:78.6%&gt; 34.5% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=1&gt;1&lt;/td&gt;&lt;td&gt;1520&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:49.2%&gt; 21.6% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12&quot; id=-8012696920752743076unicode--8012696920752743076scripts&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most occurring scripts&lt;/h4&gt;&lt;table class=&quot;freq table table-hover table-striped&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=Common&gt;Common&lt;/td&gt;&lt;td&gt;7032&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 100.0% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most frequent character per script&lt;/h4&gt;&lt;div class=row&gt;&lt;div class=col-sm-6&gt;&lt;h5&gt;&lt;em&gt;Common&lt;/em&gt;&lt;/h5&gt;&lt;table class=&quot;freq table table-hover table-striped&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=0&gt;0&lt;/td&gt;&lt;td&gt;3087&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 43.9% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=2&gt;2&lt;/td&gt;&lt;td&gt;2425&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:78.6%&gt; 34.5% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=1&gt;1&lt;/td&gt;&lt;td&gt;1520&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:49.2%&gt; 21.6% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12&quot; id=-8012696920752743076unicode--8012696920752743076blocks&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most occurring blocks&lt;/h4&gt;&lt;table class=&quot;freq table table-hover table-striped&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=ASCII&gt;ASCII&lt;/td&gt;&lt;td&gt;7032&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 100.0% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most frequent character per block&lt;/h4&gt;&lt;div class=row&gt;&lt;div class=col-sm-6&gt;&lt;h5&gt;&lt;em&gt;ASCII&lt;/em&gt;&lt;/h5&gt;&lt;table class=&quot;freq table table-hover table-striped&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=0&gt;0&lt;/td&gt;&lt;td&gt;3087&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 43.9% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=2&gt;2&lt;/td&gt;&lt;td&gt;2425&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:78.6%&gt; 34.5% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=1&gt;1&lt;/td&gt;&lt;td&gt;1520&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:49.2%&gt; 21.6% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;div class=&quot;row spacing&quot;&gt;&lt;a class=&quot;anchor-pos anchor-pos-variable&quot; id=pp_var_1498625929756160939&gt;&lt;/a&gt;&lt;div class=variable&gt;&lt;div class=col-sm-3&gt;&lt;p class=h4 title=DeviceProtection&gt;&lt;a href=#pp_var_1498625929756160939&gt;DeviceProtection&lt;/a&gt;&lt;br&gt;&lt;small&gt;Categorical&lt;/small&gt;&lt;/p&gt;&lt;code&gt;&lt;abbr title=&quot;This variable has a high correlation with 10 fields: StreamingMovies, Contract, TotalCharges, OnlineSecurity, InternetService, OnlineBackup, StreamingTV, MonthlyCharges, TechSupport, MultipleLines&quot;&gt;HIGH CORRELATION&lt;/abbr&gt;&lt;/code&gt;&lt;br&gt;&lt;code&gt;&lt;abbr title=&quot;This variable has a high correlation with 6 fields: StreamingMovies, StreamingTV, TechSupport, OnlineSecurity, OnlineBackup, InternetService&quot;&gt;HIGH CORRELATION&lt;/abbr&gt;&lt;/code&gt;&lt;br&gt;&lt;p class=variable-description&gt;&lt;/p&gt;&lt;/div&gt;&lt;div class=col-sm-3&gt;&lt;table class=&quot;table table-condensed stats&quot;&gt;&lt;tbody&gt;&lt;tr&gt;&lt;th&gt;Distinct&lt;/th&gt;&lt;td&gt;3&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Distinct (%)&lt;/th&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Missing&lt;/th&gt;&lt;td&gt;0&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Missing (%)&lt;/th&gt;&lt;td&gt;0.0%&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Memory size&lt;/th&gt;&lt;td&gt;55.1 KiB&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div class=col-sm-6&gt;&lt;div class=&quot;col-sm- collapse in&quot; id=minifreqtable&gt;&lt;table class=&quot;mini freq&quot;&gt;&lt;tr class&gt;&lt;th width=50%&gt; 0 &lt;/th&gt;&lt;td width=50%&gt;&lt;div class=bar style=width:100.0% data-toggle=tooltip data-placement=right data-html=true data-delay=500&gt; 3094&amp;nbsp; &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;th width=50%&gt; 2 &lt;/th&gt;&lt;td width=50%&gt;&lt;div class=bar style=width:78.2% data-toggle=tooltip data-placement=right data-html=true data-delay=500&gt; 2418&amp;nbsp; &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;th width=50%&gt; 1 &lt;/th&gt;&lt;td width=50%&gt;&lt;div class=bar style=width:49.1% data-toggle=tooltip data-placement=right data-html=true data-delay=500&gt; 1520&amp;nbsp; &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;div class=&quot;col-sm-12 text-right&quot;&gt;&lt;button class=&quot;btn btn-default btn-sm&quot; data-toggle=collapse data-target=&quot;#bottom-1498625929756160939, #minifreqtable1498625929756160939&quot; aria-expanded=true aria-controls=collapseExample&gt;Toggle details&lt;/button&gt;&lt;/div&gt;&lt;div id=bottom-1498625929756160939 class=collapse&gt;&lt;div class=&quot;row spacing&quot;&gt;&lt;ul class=&quot;nav nav-tabs&quot; role=tablist&gt;&lt;li role=presentation class=active&gt;&lt;a href=#1498625929756160939bottom-1498625929756160939overview aria-controls=1498625929756160939bottom-1498625929756160939overview role=tab data-toggle=tab&gt;Overview&lt;/a&gt;&lt;/li&gt;&lt;li role=presentation&gt;&lt;a href=#1498625929756160939bottom-1498625929756160939string aria-controls=1498625929756160939bottom-1498625929756160939string role=tab data-toggle=tab&gt;Categories&lt;/a&gt;&lt;/li&gt;&lt;li role=presentation&gt;&lt;a href=#1498625929756160939bottom-1498625929756160939word aria-controls=1498625929756160939bottom-1498625929756160939word role=tab data-toggle=tab&gt;Words&lt;/a&gt;&lt;/li&gt;&lt;li role=presentation&gt;&lt;a href=#1498625929756160939bottom-1498625929756160939characters aria-controls=1498625929756160939bottom-1498625929756160939characters role=tab data-toggle=tab&gt;Characters&lt;/a&gt;&lt;/li&gt;&lt;/ul&gt;&lt;div class=tab-content&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12 active&quot; id=1498625929756160939bottom-1498625929756160939overview&gt;&lt;div class=row&gt;&lt;div class=col-sm-3&gt;&lt;p class=h4&gt;Length&lt;/p&gt;&lt;table class=&quot;table table-condensed stats&quot;&gt;&lt;tbody&gt;&lt;tr&gt;&lt;th&gt;Max length&lt;/th&gt;&lt;td&gt;1&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Median length&lt;/th&gt;&lt;td&gt;1&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Mean length&lt;/th&gt;&lt;td&gt;1&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Min length&lt;/th&gt;&lt;td&gt;1&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div class=col-sm-3&gt;&lt;p class=h4&gt;Characters and Unicode&lt;/p&gt;&lt;table class=&quot;table table-condensed stats&quot;&gt;&lt;tbody&gt;&lt;tr&gt;&lt;th&gt;Total characters&lt;/th&gt;&lt;td&gt;7032&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Distinct characters&lt;/th&gt;&lt;td&gt;3&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Distinct categories&lt;/th&gt;&lt;td&gt;1 &lt;a title=&quot;Unicode categories (click for more information)&quot; href=https://en.wikipedia.org/wiki/Unicode_character_property#General_Category target=_blank&gt;&lt;span class=&quot;badge pull-right&quot; style=color:#fff;background-color:#337ab7; title=&quot;Unicode categories (click for more information)&quot;&gt;?&lt;/span&gt;&lt;/a&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Distinct scripts&lt;/th&gt;&lt;td&gt;1 &lt;a title=&quot;Unicode scripts (click for more information)&quot; href=https://en.wikipedia.org/wiki/Script_(Unicode)#List_of_scripts_in_Unicode target=_blank&gt;&lt;span class=&quot;badge pull-right&quot; style=color:#fff;background-color:#337ab7; title=&quot;Unicode scripts (click for more information)&quot;&gt;?&lt;/span&gt;&lt;/a&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Distinct blocks&lt;/th&gt;&lt;td&gt;1 &lt;a title=&quot;Unicode blocks (click for more information)&quot; href=https://en.wikipedia.org/wiki/Unicode_block target=_blank&gt;&lt;span class=&quot;badge pull-right&quot; style=color:#fff;background-color:#337ab7; title=&quot;Unicode blocks (click for more information)&quot;&gt;?&lt;/span&gt;&lt;/a&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;div class=&quot;caption text-center text-muted&quot;&gt; The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables. &lt;/div&gt;&lt;/div&gt;&lt;div class=col-sm-3&gt;&lt;p class=h4&gt;Unique&lt;/p&gt;&lt;table class=&quot;table table-condensed stats&quot;&gt;&lt;tbody&gt;&lt;tr&gt;&lt;th&gt;Unique&lt;/th&gt;&lt;td&gt;0 &lt;span class=&quot;badge pull-right&quot; style=color:#fff;background-color:#337ab7; title=&quot;The number of unique values (all values that occur exactly once in the dataset).&quot;&gt;?&lt;/span&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Unique (%)&lt;/th&gt;&lt;td&gt;0.0%&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div class=col-sm-3&gt;&lt;p class=h4&gt;Sample&lt;/p&gt;&lt;table class=&quot;table table-condensed stats&quot;&gt;&lt;tbody&gt;&lt;tr&gt;&lt;th&gt;1st row&lt;/th&gt;&lt;td&gt;0&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;2nd row&lt;/th&gt;&lt;td&gt;2&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;3rd row&lt;/th&gt;&lt;td&gt;0&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;4th row&lt;/th&gt;&lt;td&gt;2&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;5th row&lt;/th&gt;&lt;td&gt;0&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12&quot; 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id=1498625929756160939unicode-1498625929756160939characters&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most occurring characters&lt;/h4&gt;&lt;table class=&quot;freq table table-hover table-striped&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=0&gt;0&lt;/td&gt;&lt;td&gt;3094&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 44.0% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=2&gt;2&lt;/td&gt;&lt;td&gt;2418&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:78.2%&gt; 34.4% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=1&gt;1&lt;/td&gt;&lt;td&gt;1520&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:49.1%&gt; 21.6% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12&quot; id=1498625929756160939unicode-1498625929756160939categories&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most occurring categories&lt;/h4&gt;&lt;table class=&quot;freq table table-hover table-striped&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=&quot;Decimal Number&quot;&gt;Decimal Number&lt;/td&gt;&lt;td&gt;7032&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 100.0% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most frequent character per category&lt;/h4&gt;&lt;div class=row&gt;&lt;div class=col-sm-6&gt;&lt;h5&gt;&lt;em&gt;Decimal Number&lt;/em&gt;&lt;/h5&gt;&lt;table class=&quot;freq table table-hover table-striped&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=0&gt;0&lt;/td&gt;&lt;td&gt;3094&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 44.0% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=2&gt;2&lt;/td&gt;&lt;td&gt;2418&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:78.2%&gt; 34.4% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=1&gt;1&lt;/td&gt;&lt;td&gt;1520&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:49.1%&gt; 21.6% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12&quot; id=1498625929756160939unicode-1498625929756160939scripts&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most occurring scripts&lt;/h4&gt;&lt;table class=&quot;freq table table-hover table-striped&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=Common&gt;Common&lt;/td&gt;&lt;td&gt;7032&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 100.0% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most frequent character per script&lt;/h4&gt;&lt;div class=row&gt;&lt;div class=col-sm-6&gt;&lt;h5&gt;&lt;em&gt;Common&lt;/em&gt;&lt;/h5&gt;&lt;table class=&quot;freq table table-hover table-striped&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=0&gt;0&lt;/td&gt;&lt;td&gt;3094&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 44.0% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=2&gt;2&lt;/td&gt;&lt;td&gt;2418&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:78.2%&gt; 34.4% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=1&gt;1&lt;/td&gt;&lt;td&gt;1520&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:49.1%&gt; 21.6% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12&quot; id=1498625929756160939unicode-1498625929756160939blocks&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most occurring blocks&lt;/h4&gt;&lt;table class=&quot;freq table table-hover table-striped&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=ASCII&gt;ASCII&lt;/td&gt;&lt;td&gt;7032&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 100.0% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most frequent character per block&lt;/h4&gt;&lt;div class=row&gt;&lt;div class=col-sm-6&gt;&lt;h5&gt;&lt;em&gt;ASCII&lt;/em&gt;&lt;/h5&gt;&lt;table class=&quot;freq table table-hover table-striped&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=0&gt;0&lt;/td&gt;&lt;td&gt;3094&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 44.0% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=2&gt;2&lt;/td&gt;&lt;td&gt;2418&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:78.2%&gt; 34.4% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=1&gt;1&lt;/td&gt;&lt;td&gt;1520&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:49.1%&gt; 21.6% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;div class=&quot;row spacing&quot;&gt;&lt;a class=&quot;anchor-pos anchor-pos-variable&quot; id=pp_var_-7370127512665051601&gt;&lt;/a&gt;&lt;div class=variable&gt;&lt;div class=col-sm-3&gt;&lt;p class=h4 title=TechSupport&gt;&lt;a href=#pp_var_-7370127512665051601&gt;TechSupport&lt;/a&gt;&lt;br&gt;&lt;small&gt;Categorical&lt;/small&gt;&lt;/p&gt;&lt;code&gt;&lt;abbr title=&quot;This variable has a high correlation with 10 fields: StreamingMovies, Contract, TotalCharges, OnlineSecurity, InternetService, OnlineBackup, StreamingTV, MonthlyCharges, DeviceProtection, MultipleLines&quot;&gt;HIGH CORRELATION&lt;/abbr&gt;&lt;/code&gt;&lt;br&gt;&lt;code&gt;&lt;abbr title=&quot;This variable has a high correlation with 6 fields: StreamingMovies, StreamingTV, DeviceProtection, OnlineSecurity, OnlineBackup, InternetService&quot;&gt;HIGH CORRELATION&lt;/abbr&gt;&lt;/code&gt;&lt;br&gt;&lt;p class=variable-description&gt;&lt;/p&gt;&lt;/div&gt;&lt;div class=col-sm-3&gt;&lt;table class=&quot;table table-condensed stats&quot;&gt;&lt;tbody&gt;&lt;tr&gt;&lt;th&gt;Distinct&lt;/th&gt;&lt;td&gt;3&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Distinct (%)&lt;/th&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Missing&lt;/th&gt;&lt;td&gt;0&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Missing (%)&lt;/th&gt;&lt;td&gt;0.0%&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Memory size&lt;/th&gt;&lt;td&gt;55.1 KiB&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div class=col-sm-6&gt;&lt;div class=&quot;col-sm- collapse in&quot; id=minifreqtable&gt;&lt;table class=&quot;mini freq&quot;&gt;&lt;tr class&gt;&lt;th width=50%&gt; 0 &lt;/th&gt;&lt;td width=50%&gt;&lt;div class=bar style=width:100.0% data-toggle=tooltip data-placement=right data-html=true data-delay=500&gt; 3472&amp;nbsp; &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;th width=50%&gt; 2 &lt;/th&gt;&lt;td width=50%&gt;&lt;div class=bar style=width:58.8% data-toggle=tooltip data-placement=right data-html=true data-delay=500&gt; 2040&amp;nbsp; &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;th width=50%&gt; 1 &lt;/th&gt;&lt;td width=50%&gt;&lt;div class=bar style=width:43.8% data-toggle=tooltip data-placement=right data-html=true data-delay=500&gt; 1520&amp;nbsp; &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;div class=&quot;col-sm-12 text-right&quot;&gt;&lt;button class=&quot;btn btn-default btn-sm&quot; data-toggle=collapse data-target=&quot;#bottom--7370127512665051601, #minifreqtable-7370127512665051601&quot; aria-expanded=true aria-controls=collapseExample&gt;Toggle details&lt;/button&gt;&lt;/div&gt;&lt;div id=bottom--7370127512665051601 class=collapse&gt;&lt;div class=&quot;row spacing&quot;&gt;&lt;ul class=&quot;nav nav-tabs&quot; role=tablist&gt;&lt;li role=presentation class=active&gt;&lt;a href=#-7370127512665051601bottom--7370127512665051601overview aria-controls=-7370127512665051601bottom--7370127512665051601overview role=tab data-toggle=tab&gt;Overview&lt;/a&gt;&lt;/li&gt;&lt;li role=presentation&gt;&lt;a href=#-7370127512665051601bottom--7370127512665051601string aria-controls=-7370127512665051601bottom--7370127512665051601string role=tab data-toggle=tab&gt;Categories&lt;/a&gt;&lt;/li&gt;&lt;li role=presentation&gt;&lt;a href=#-7370127512665051601bottom--7370127512665051601word aria-controls=-7370127512665051601bottom--7370127512665051601word role=tab data-toggle=tab&gt;Words&lt;/a&gt;&lt;/li&gt;&lt;li role=presentation&gt;&lt;a href=#-7370127512665051601bottom--7370127512665051601characters aria-controls=-7370127512665051601bottom--7370127512665051601characters role=tab data-toggle=tab&gt;Characters&lt;/a&gt;&lt;/li&gt;&lt;/ul&gt;&lt;div class=tab-content&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12 active&quot; id=-7370127512665051601bottom--7370127512665051601overview&gt;&lt;div class=row&gt;&lt;div class=col-sm-3&gt;&lt;p class=h4&gt;Length&lt;/p&gt;&lt;table class=&quot;table table-condensed stats&quot;&gt;&lt;tbody&gt;&lt;tr&gt;&lt;th&gt;Max length&lt;/th&gt;&lt;td&gt;1&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Median length&lt;/th&gt;&lt;td&gt;1&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Mean length&lt;/th&gt;&lt;td&gt;1&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Min length&lt;/th&gt;&lt;td&gt;1&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div class=col-sm-3&gt;&lt;p class=h4&gt;Characters and Unicode&lt;/p&gt;&lt;table class=&quot;table table-condensed stats&quot;&gt;&lt;tbody&gt;&lt;tr&gt;&lt;th&gt;Total characters&lt;/th&gt;&lt;td&gt;7032&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Distinct characters&lt;/th&gt;&lt;td&gt;3&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Distinct categories&lt;/th&gt;&lt;td&gt;1 &lt;a title=&quot;Unicode categories (click for more information)&quot; href=https://en.wikipedia.org/wiki/Unicode_character_property#General_Category target=_blank&gt;&lt;span class=&quot;badge pull-right&quot; style=color:#fff;background-color:#337ab7; title=&quot;Unicode categories (click for more information)&quot;&gt;?&lt;/span&gt;&lt;/a&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Distinct scripts&lt;/th&gt;&lt;td&gt;1 &lt;a title=&quot;Unicode scripts (click for more information)&quot; href=https://en.wikipedia.org/wiki/Script_(Unicode)#List_of_scripts_in_Unicode target=_blank&gt;&lt;span class=&quot;badge pull-right&quot; style=color:#fff;background-color:#337ab7; title=&quot;Unicode scripts (click for more information)&quot;&gt;?&lt;/span&gt;&lt;/a&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Distinct blocks&lt;/th&gt;&lt;td&gt;1 &lt;a title=&quot;Unicode blocks (click for more information)&quot; href=https://en.wikipedia.org/wiki/Unicode_block target=_blank&gt;&lt;span class=&quot;badge pull-right&quot; style=color:#fff;background-color:#337ab7; title=&quot;Unicode blocks (click for more information)&quot;&gt;?&lt;/span&gt;&lt;/a&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;div class=&quot;caption text-center text-muted&quot;&gt; The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables. &lt;/div&gt;&lt;/div&gt;&lt;div class=col-sm-3&gt;&lt;p class=h4&gt;Unique&lt;/p&gt;&lt;table class=&quot;table table-condensed stats&quot;&gt;&lt;tbody&gt;&lt;tr&gt;&lt;th&gt;Unique&lt;/th&gt;&lt;td&gt;0 &lt;span class=&quot;badge pull-right&quot; style=color:#fff;background-color:#337ab7; title=&quot;The number of unique values (all values that occur exactly once in the dataset).&quot;&gt;?&lt;/span&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Unique (%)&lt;/th&gt;&lt;td&gt;0.0%&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div class=col-sm-3&gt;&lt;p class=h4&gt;Sample&lt;/p&gt;&lt;table class=&quot;table table-condensed stats&quot;&gt;&lt;tbody&gt;&lt;tr&gt;&lt;th&gt;1st row&lt;/th&gt;&lt;td&gt;0&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;2nd row&lt;/th&gt;&lt;td&gt;0&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;3rd row&lt;/th&gt;&lt;td&gt;0&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;4th row&lt;/th&gt;&lt;td&gt;2&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;5th row&lt;/th&gt;&lt;td&gt;0&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12&quot; 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id=-7370127512665051601unicode--7370127512665051601characters&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most occurring characters&lt;/h4&gt;&lt;table class=&quot;freq table table-hover table-striped&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=0&gt;0&lt;/td&gt;&lt;td&gt;3472&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 49.4% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=2&gt;2&lt;/td&gt;&lt;td&gt;2040&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:58.8%&gt; 29.0% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=1&gt;1&lt;/td&gt;&lt;td&gt;1520&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:43.8%&gt; 21.6% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12&quot; id=-7370127512665051601unicode--7370127512665051601categories&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most occurring categories&lt;/h4&gt;&lt;table class=&quot;freq table table-hover table-striped&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=&quot;Decimal Number&quot;&gt;Decimal Number&lt;/td&gt;&lt;td&gt;7032&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 100.0% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most frequent character per category&lt;/h4&gt;&lt;div class=row&gt;&lt;div class=col-sm-6&gt;&lt;h5&gt;&lt;em&gt;Decimal Number&lt;/em&gt;&lt;/h5&gt;&lt;table class=&quot;freq table table-hover table-striped&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=0&gt;0&lt;/td&gt;&lt;td&gt;3472&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 49.4% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=2&gt;2&lt;/td&gt;&lt;td&gt;2040&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:58.8%&gt; 29.0% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=1&gt;1&lt;/td&gt;&lt;td&gt;1520&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:43.8%&gt; 21.6% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12&quot; id=-7370127512665051601unicode--7370127512665051601scripts&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most occurring scripts&lt;/h4&gt;&lt;table class=&quot;freq table table-hover table-striped&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=Common&gt;Common&lt;/td&gt;&lt;td&gt;7032&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 100.0% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most frequent character per script&lt;/h4&gt;&lt;div class=row&gt;&lt;div class=col-sm-6&gt;&lt;h5&gt;&lt;em&gt;Common&lt;/em&gt;&lt;/h5&gt;&lt;table class=&quot;freq table table-hover table-striped&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=0&gt;0&lt;/td&gt;&lt;td&gt;3472&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 49.4% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=2&gt;2&lt;/td&gt;&lt;td&gt;2040&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:58.8%&gt; 29.0% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=1&gt;1&lt;/td&gt;&lt;td&gt;1520&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:43.8%&gt; 21.6% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12&quot; id=-7370127512665051601unicode--7370127512665051601blocks&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most occurring blocks&lt;/h4&gt;&lt;table class=&quot;freq table table-hover table-striped&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=ASCII&gt;ASCII&lt;/td&gt;&lt;td&gt;7032&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 100.0% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most frequent character per block&lt;/h4&gt;&lt;div class=row&gt;&lt;div class=col-sm-6&gt;&lt;h5&gt;&lt;em&gt;ASCII&lt;/em&gt;&lt;/h5&gt;&lt;table class=&quot;freq table table-hover table-striped&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=0&gt;0&lt;/td&gt;&lt;td&gt;3472&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 49.4% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=2&gt;2&lt;/td&gt;&lt;td&gt;2040&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:58.8%&gt; 29.0% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=1&gt;1&lt;/td&gt;&lt;td&gt;1520&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:43.8%&gt; 21.6% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;div class=&quot;row spacing&quot;&gt;&lt;a class=&quot;anchor-pos anchor-pos-variable&quot; id=pp_var_-7110605292481775002&gt;&lt;/a&gt;&lt;div class=variable&gt;&lt;div class=col-sm-3&gt;&lt;p class=h4 title=StreamingTV&gt;&lt;a href=#pp_var_-7110605292481775002&gt;StreamingTV&lt;/a&gt;&lt;br&gt;&lt;small&gt;Categorical&lt;/small&gt;&lt;/p&gt;&lt;code&gt;&lt;abbr title=&quot;This variable has a high correlation with 10 fields: StreamingMovies, Contract, TotalCharges, OnlineSecurity, InternetService, OnlineBackup, MonthlyCharges, DeviceProtection, TechSupport, MultipleLines&quot;&gt;HIGH CORRELATION&lt;/abbr&gt;&lt;/code&gt;&lt;br&gt;&lt;code&gt;&lt;abbr title=&quot;This variable has a high correlation with 6 fields: StreamingMovies, DeviceProtection, TechSupport, OnlineSecurity, OnlineBackup, InternetService&quot;&gt;HIGH CORRELATION&lt;/abbr&gt;&lt;/code&gt;&lt;br&gt;&lt;p class=variable-description&gt;&lt;/p&gt;&lt;/div&gt;&lt;div class=col-sm-3&gt;&lt;table class=&quot;table table-condensed stats&quot;&gt;&lt;tbody&gt;&lt;tr&gt;&lt;th&gt;Distinct&lt;/th&gt;&lt;td&gt;3&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Distinct (%)&lt;/th&gt;&lt;td&gt;&lt; 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1520&amp;nbsp; &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;div class=&quot;col-sm-12 text-right&quot;&gt;&lt;button class=&quot;btn btn-default btn-sm&quot; data-toggle=collapse data-target=&quot;#bottom--7110605292481775002, #minifreqtable-7110605292481775002&quot; aria-expanded=true aria-controls=collapseExample&gt;Toggle details&lt;/button&gt;&lt;/div&gt;&lt;div id=bottom--7110605292481775002 class=collapse&gt;&lt;div class=&quot;row spacing&quot;&gt;&lt;ul class=&quot;nav nav-tabs&quot; role=tablist&gt;&lt;li role=presentation class=active&gt;&lt;a href=#-7110605292481775002bottom--7110605292481775002overview aria-controls=-7110605292481775002bottom--7110605292481775002overview role=tab data-toggle=tab&gt;Overview&lt;/a&gt;&lt;/li&gt;&lt;li role=presentation&gt;&lt;a href=#-7110605292481775002bottom--7110605292481775002string aria-controls=-7110605292481775002bottom--7110605292481775002string role=tab data-toggle=tab&gt;Categories&lt;/a&gt;&lt;/li&gt;&lt;li role=presentation&gt;&lt;a href=#-7110605292481775002bottom--7110605292481775002word aria-controls=-7110605292481775002bottom--7110605292481775002word role=tab data-toggle=tab&gt;Words&lt;/a&gt;&lt;/li&gt;&lt;li role=presentation&gt;&lt;a href=#-7110605292481775002bottom--7110605292481775002characters aria-controls=-7110605292481775002bottom--7110605292481775002characters role=tab data-toggle=tab&gt;Characters&lt;/a&gt;&lt;/li&gt;&lt;/ul&gt;&lt;div class=tab-content&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12 active&quot; 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title=&quot;Unicode blocks (click for more information)&quot;&gt;?&lt;/span&gt;&lt;/a&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;div class=&quot;caption text-center text-muted&quot;&gt; The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables. &lt;/div&gt;&lt;/div&gt;&lt;div class=col-sm-3&gt;&lt;p class=h4&gt;Unique&lt;/p&gt;&lt;table class=&quot;table table-condensed stats&quot;&gt;&lt;tbody&gt;&lt;tr&gt;&lt;th&gt;Unique&lt;/th&gt;&lt;td&gt;0 &lt;span class=&quot;badge pull-right&quot; style=color:#fff;background-color:#337ab7; title=&quot;The number of unique values (all values that occur exactly once in the dataset).&quot;&gt;?&lt;/span&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Unique (%)&lt;/th&gt;&lt;td&gt;0.0%&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div class=col-sm-3&gt;&lt;p class=h4&gt;Sample&lt;/p&gt;&lt;table class=&quot;table table-condensed stats&quot;&gt;&lt;tbody&gt;&lt;tr&gt;&lt;th&gt;1st row&lt;/th&gt;&lt;td&gt;0&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;2nd row&lt;/th&gt;&lt;td&gt;0&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;3rd row&lt;/th&gt;&lt;td&gt;0&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;4th row&lt;/th&gt;&lt;td&gt;0&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;5th row&lt;/th&gt;&lt;td&gt;0&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12&quot; 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id=-7110605292481775002unicode--7110605292481775002characters&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most occurring characters&lt;/h4&gt;&lt;table class=&quot;freq table table-hover table-striped&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=0&gt;0&lt;/td&gt;&lt;td&gt;2809&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 39.9% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=2&gt;2&lt;/td&gt;&lt;td&gt;2703&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:96.2%&gt; 38.4% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=1&gt;1&lt;/td&gt;&lt;td&gt;1520&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:54.1%&gt; 21.6% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12&quot; id=-7110605292481775002unicode--7110605292481775002categories&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most occurring categories&lt;/h4&gt;&lt;table class=&quot;freq table table-hover table-striped&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=&quot;Decimal Number&quot;&gt;Decimal Number&lt;/td&gt;&lt;td&gt;7032&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 100.0% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most frequent character per category&lt;/h4&gt;&lt;div class=row&gt;&lt;div class=col-sm-6&gt;&lt;h5&gt;&lt;em&gt;Decimal Number&lt;/em&gt;&lt;/h5&gt;&lt;table class=&quot;freq table table-hover table-striped&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=0&gt;0&lt;/td&gt;&lt;td&gt;2809&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 39.9% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=2&gt;2&lt;/td&gt;&lt;td&gt;2703&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:96.2%&gt; 38.4% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=1&gt;1&lt;/td&gt;&lt;td&gt;1520&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:54.1%&gt; 21.6% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12&quot; id=-7110605292481775002unicode--7110605292481775002scripts&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most occurring scripts&lt;/h4&gt;&lt;table class=&quot;freq table table-hover table-striped&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=Common&gt;Common&lt;/td&gt;&lt;td&gt;7032&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 100.0% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most frequent character per script&lt;/h4&gt;&lt;div class=row&gt;&lt;div class=col-sm-6&gt;&lt;h5&gt;&lt;em&gt;Common&lt;/em&gt;&lt;/h5&gt;&lt;table class=&quot;freq table table-hover table-striped&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=0&gt;0&lt;/td&gt;&lt;td&gt;2809&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 39.9% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=2&gt;2&lt;/td&gt;&lt;td&gt;2703&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:96.2%&gt; 38.4% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=1&gt;1&lt;/td&gt;&lt;td&gt;1520&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:54.1%&gt; 21.6% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12&quot; id=-7110605292481775002unicode--7110605292481775002blocks&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most occurring blocks&lt;/h4&gt;&lt;table class=&quot;freq table table-hover table-striped&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=ASCII&gt;ASCII&lt;/td&gt;&lt;td&gt;7032&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 100.0% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most frequent character per block&lt;/h4&gt;&lt;div class=row&gt;&lt;div class=col-sm-6&gt;&lt;h5&gt;&lt;em&gt;ASCII&lt;/em&gt;&lt;/h5&gt;&lt;table class=&quot;freq table table-hover table-striped&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=0&gt;0&lt;/td&gt;&lt;td&gt;2809&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 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1520&amp;nbsp; &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;div class=&quot;col-sm-12 text-right&quot;&gt;&lt;button class=&quot;btn btn-default btn-sm&quot; data-toggle=collapse data-target=&quot;#bottom-7383371575565904577, #minifreqtable7383371575565904577&quot; aria-expanded=true aria-controls=collapseExample&gt;Toggle details&lt;/button&gt;&lt;/div&gt;&lt;div id=bottom-7383371575565904577 class=collapse&gt;&lt;div class=&quot;row spacing&quot;&gt;&lt;ul class=&quot;nav nav-tabs&quot; role=tablist&gt;&lt;li role=presentation class=active&gt;&lt;a href=#7383371575565904577bottom-7383371575565904577overview aria-controls=7383371575565904577bottom-7383371575565904577overview role=tab data-toggle=tab&gt;Overview&lt;/a&gt;&lt;/li&gt;&lt;li role=presentation&gt;&lt;a href=#7383371575565904577bottom-7383371575565904577string aria-controls=7383371575565904577bottom-7383371575565904577string role=tab data-toggle=tab&gt;Categories&lt;/a&gt;&lt;/li&gt;&lt;li role=presentation&gt;&lt;a href=#7383371575565904577bottom-7383371575565904577word aria-controls=7383371575565904577bottom-7383371575565904577word role=tab data-toggle=tab&gt;Words&lt;/a&gt;&lt;/li&gt;&lt;li role=presentation&gt;&lt;a href=#7383371575565904577bottom-7383371575565904577characters aria-controls=7383371575565904577bottom-7383371575565904577characters role=tab data-toggle=tab&gt;Characters&lt;/a&gt;&lt;/li&gt;&lt;/ul&gt;&lt;div class=tab-content&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12 active&quot; id=7383371575565904577bottom-7383371575565904577overview&gt;&lt;div class=row&gt;&lt;div class=col-sm-3&gt;&lt;p class=h4&gt;Length&lt;/p&gt;&lt;table class=&quot;table table-condensed stats&quot;&gt;&lt;tbody&gt;&lt;tr&gt;&lt;th&gt;Max length&lt;/th&gt;&lt;td&gt;1&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Median length&lt;/th&gt;&lt;td&gt;1&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Mean length&lt;/th&gt;&lt;td&gt;1&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Min length&lt;/th&gt;&lt;td&gt;1&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div class=col-sm-3&gt;&lt;p class=h4&gt;Characters and Unicode&lt;/p&gt;&lt;table class=&quot;table table-condensed stats&quot;&gt;&lt;tbody&gt;&lt;tr&gt;&lt;th&gt;Total characters&lt;/th&gt;&lt;td&gt;7032&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Distinct characters&lt;/th&gt;&lt;td&gt;3&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Distinct categories&lt;/th&gt;&lt;td&gt;1 &lt;a title=&quot;Unicode categories (click for more information)&quot; 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title=&quot;Unicode blocks (click for more information)&quot;&gt;?&lt;/span&gt;&lt;/a&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;div class=&quot;caption text-center text-muted&quot;&gt; The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables. &lt;/div&gt;&lt;/div&gt;&lt;div class=col-sm-3&gt;&lt;p class=h4&gt;Unique&lt;/p&gt;&lt;table class=&quot;table table-condensed stats&quot;&gt;&lt;tbody&gt;&lt;tr&gt;&lt;th&gt;Unique&lt;/th&gt;&lt;td&gt;0 &lt;span class=&quot;badge pull-right&quot; style=color:#fff;background-color:#337ab7; title=&quot;The number of unique values (all values that occur exactly once in the dataset).&quot;&gt;?&lt;/span&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Unique (%)&lt;/th&gt;&lt;td&gt;0.0%&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div class=col-sm-3&gt;&lt;p class=h4&gt;Sample&lt;/p&gt;&lt;table class=&quot;table table-condensed stats&quot;&gt;&lt;tbody&gt;&lt;tr&gt;&lt;th&gt;1st row&lt;/th&gt;&lt;td&gt;0&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;2nd row&lt;/th&gt;&lt;td&gt;0&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;3rd row&lt;/th&gt;&lt;td&gt;0&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;4th row&lt;/th&gt;&lt;td&gt;0&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;5th row&lt;/th&gt;&lt;td&gt;0&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12&quot; 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id=7383371575565904577unicode-7383371575565904577characters&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most occurring characters&lt;/h4&gt;&lt;table class=&quot;freq table table-hover table-striped&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=0&gt;0&lt;/td&gt;&lt;td&gt;2781&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 39.5% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=2&gt;2&lt;/td&gt;&lt;td&gt;2731&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:98.2%&gt; 38.8% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=1&gt;1&lt;/td&gt;&lt;td&gt;1520&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:54.7%&gt; 21.6% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12&quot; id=7383371575565904577unicode-7383371575565904577categories&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most occurring categories&lt;/h4&gt;&lt;table class=&quot;freq table table-hover table-striped&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=&quot;Decimal Number&quot;&gt;Decimal Number&lt;/td&gt;&lt;td&gt;7032&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 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id=7383371575565904577unicode-7383371575565904577scripts&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most occurring scripts&lt;/h4&gt;&lt;table class=&quot;freq table table-hover table-striped&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=Common&gt;Common&lt;/td&gt;&lt;td&gt;7032&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 100.0% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most frequent character per script&lt;/h4&gt;&lt;div class=row&gt;&lt;div class=col-sm-6&gt;&lt;h5&gt;&lt;em&gt;Common&lt;/em&gt;&lt;/h5&gt;&lt;table class=&quot;freq table table-hover table-striped&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=0&gt;0&lt;/td&gt;&lt;td&gt;2781&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 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39.5% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=2&gt;2&lt;/td&gt;&lt;td&gt;2731&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:98.2%&gt; 38.8% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=1&gt;1&lt;/td&gt;&lt;td&gt;1520&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:54.7%&gt; 21.6% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;div class=&quot;row spacing&quot;&gt;&lt;a class=&quot;anchor-pos anchor-pos-variable&quot; id=pp_var_-3765607110300847165&gt;&lt;/a&gt;&lt;div class=variable&gt;&lt;div class=col-sm-3&gt;&lt;p class=h4 title=Contract&gt;&lt;a href=#pp_var_-3765607110300847165&gt;Contract&lt;/a&gt;&lt;br&gt;&lt;small&gt;Categorical&lt;/small&gt;&lt;/p&gt;&lt;code&gt;&lt;abbr title=&quot;This variable has a high correlation with 1 fields: tenure&quot;&gt;HIGH CORRELATION&lt;/abbr&gt;&lt;/code&gt;&lt;br&gt;&lt;code&gt;&lt;abbr title=&quot;This variable has a high correlation with 1 fields: tenure&quot;&gt;HIGH CORRELATION&lt;/abbr&gt;&lt;/code&gt;&lt;br&gt;&lt;code&gt;&lt;abbr title=&quot;This variable has a high correlation with 1 fields: tenure&quot;&gt;HIGH CORRELATION&lt;/abbr&gt;&lt;/code&gt;&lt;br&gt;&lt;code&gt;&lt;abbr title=&quot;This variable has a high correlation with 9 fields: StreamingMovies, TotalCharges, OnlineSecurity, InternetService, OnlineBackup, StreamingTV, DeviceProtection, tenure, TechSupport&quot;&gt;HIGH CORRELATION&lt;/abbr&gt;&lt;/code&gt;&lt;br&gt;&lt;p class=variable-description&gt;&lt;/p&gt;&lt;/div&gt;&lt;div class=col-sm-3&gt;&lt;table class=&quot;table table-condensed stats&quot;&gt;&lt;tbody&gt;&lt;tr&gt;&lt;th&gt;Distinct&lt;/th&gt;&lt;td&gt;3&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Distinct (%)&lt;/th&gt;&lt;td&gt;&lt; 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1472&amp;nbsp; &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;div class=&quot;col-sm-12 text-right&quot;&gt;&lt;button class=&quot;btn btn-default btn-sm&quot; data-toggle=collapse data-target=&quot;#bottom--3765607110300847165, #minifreqtable-3765607110300847165&quot; aria-expanded=true aria-controls=collapseExample&gt;Toggle details&lt;/button&gt;&lt;/div&gt;&lt;div id=bottom--3765607110300847165 class=collapse&gt;&lt;div class=&quot;row spacing&quot;&gt;&lt;ul class=&quot;nav nav-tabs&quot; role=tablist&gt;&lt;li role=presentation class=active&gt;&lt;a href=#-3765607110300847165bottom--3765607110300847165overview aria-controls=-3765607110300847165bottom--3765607110300847165overview role=tab data-toggle=tab&gt;Overview&lt;/a&gt;&lt;/li&gt;&lt;li role=presentation&gt;&lt;a href=#-3765607110300847165bottom--3765607110300847165string aria-controls=-3765607110300847165bottom--3765607110300847165string role=tab data-toggle=tab&gt;Categories&lt;/a&gt;&lt;/li&gt;&lt;li role=presentation&gt;&lt;a href=#-3765607110300847165bottom--3765607110300847165word aria-controls=-3765607110300847165bottom--3765607110300847165word role=tab data-toggle=tab&gt;Words&lt;/a&gt;&lt;/li&gt;&lt;li role=presentation&gt;&lt;a href=#-3765607110300847165bottom--3765607110300847165characters aria-controls=-3765607110300847165bottom--3765607110300847165characters role=tab data-toggle=tab&gt;Characters&lt;/a&gt;&lt;/li&gt;&lt;/ul&gt;&lt;div class=tab-content&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12 active&quot; 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title=&quot;Unicode blocks (click for more information)&quot;&gt;?&lt;/span&gt;&lt;/a&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;div class=&quot;caption text-center text-muted&quot;&gt; The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables. &lt;/div&gt;&lt;/div&gt;&lt;div class=col-sm-3&gt;&lt;p class=h4&gt;Unique&lt;/p&gt;&lt;table class=&quot;table table-condensed stats&quot;&gt;&lt;tbody&gt;&lt;tr&gt;&lt;th&gt;Unique&lt;/th&gt;&lt;td&gt;0 &lt;span class=&quot;badge pull-right&quot; style=color:#fff;background-color:#337ab7; title=&quot;The number of unique values (all values that occur exactly once in the dataset).&quot;&gt;?&lt;/span&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Unique (%)&lt;/th&gt;&lt;td&gt;0.0%&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div class=col-sm-3&gt;&lt;p class=h4&gt;Sample&lt;/p&gt;&lt;table class=&quot;table table-condensed stats&quot;&gt;&lt;tbody&gt;&lt;tr&gt;&lt;th&gt;1st row&lt;/th&gt;&lt;td&gt;0&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;2nd row&lt;/th&gt;&lt;td&gt;1&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;3rd row&lt;/th&gt;&lt;td&gt;0&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;4th row&lt;/th&gt;&lt;td&gt;1&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;5th row&lt;/th&gt;&lt;td&gt;0&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12&quot; 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id=-3765607110300847165unicode--3765607110300847165characters&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most occurring characters&lt;/h4&gt;&lt;table class=&quot;freq table table-hover table-striped&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=0&gt;0&lt;/td&gt;&lt;td&gt;3875&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 55.1% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=2&gt;2&lt;/td&gt;&lt;td&gt;1685&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:43.5%&gt; 24.0% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=1&gt;1&lt;/td&gt;&lt;td&gt;1472&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:38.0%&gt; &amp;nbsp; &lt;/div&gt; 20.9% &lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12&quot; id=-3765607110300847165unicode--3765607110300847165categories&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most occurring categories&lt;/h4&gt;&lt;table class=&quot;freq table table-hover table-striped&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=&quot;Decimal Number&quot;&gt;Decimal Number&lt;/td&gt;&lt;td&gt;7032&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 100.0% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most frequent character per category&lt;/h4&gt;&lt;div class=row&gt;&lt;div class=col-sm-6&gt;&lt;h5&gt;&lt;em&gt;Decimal Number&lt;/em&gt;&lt;/h5&gt;&lt;table class=&quot;freq table table-hover table-striped&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=0&gt;0&lt;/td&gt;&lt;td&gt;3875&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 55.1% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=2&gt;2&lt;/td&gt;&lt;td&gt;1685&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:43.5%&gt; 24.0% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=1&gt;1&lt;/td&gt;&lt;td&gt;1472&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:38.0%&gt; &amp;nbsp; &lt;/div&gt; 20.9% &lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12&quot; id=-3765607110300847165unicode--3765607110300847165scripts&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most occurring scripts&lt;/h4&gt;&lt;table class=&quot;freq table table-hover table-striped&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=Common&gt;Common&lt;/td&gt;&lt;td&gt;7032&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 100.0% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most frequent character per script&lt;/h4&gt;&lt;div class=row&gt;&lt;div class=col-sm-6&gt;&lt;h5&gt;&lt;em&gt;Common&lt;/em&gt;&lt;/h5&gt;&lt;table class=&quot;freq table table-hover table-striped&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=0&gt;0&lt;/td&gt;&lt;td&gt;3875&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 55.1% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=2&gt;2&lt;/td&gt;&lt;td&gt;1685&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:43.5%&gt; 24.0% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=1&gt;1&lt;/td&gt;&lt;td&gt;1472&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:38.0%&gt; &amp;nbsp; &lt;/div&gt; 20.9% &lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12&quot; id=-3765607110300847165unicode--3765607110300847165blocks&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most occurring blocks&lt;/h4&gt;&lt;table class=&quot;freq table table-hover table-striped&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=ASCII&gt;ASCII&lt;/td&gt;&lt;td&gt;7032&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 100.0% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most frequent character per block&lt;/h4&gt;&lt;div class=row&gt;&lt;div class=col-sm-6&gt;&lt;h5&gt;&lt;em&gt;ASCII&lt;/em&gt;&lt;/h5&gt;&lt;table class=&quot;freq table table-hover table-striped&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=0&gt;0&lt;/td&gt;&lt;td&gt;3875&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 55.1% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=2&gt;2&lt;/td&gt;&lt;td&gt;1685&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:43.5%&gt; 24.0% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=1&gt;1&lt;/td&gt;&lt;td&gt;1472&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:38.0%&gt; &amp;nbsp; &lt;/div&gt; 20.9% &lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;div class=&quot;row spacing&quot;&gt;&lt;a class=&quot;anchor-pos anchor-pos-variable&quot; 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1 &lt;/th&gt;&lt;td width=50%&gt;&lt;div class=bar style=width:100.0% data-toggle=tooltip data-placement=right data-html=true data-delay=500&gt; 4168&amp;nbsp; &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;th width=50%&gt; 0 &lt;/th&gt;&lt;td width=50%&gt;&lt;div class=bar style=width:68.7% data-toggle=tooltip data-placement=right data-html=true data-delay=500&gt; 2864&amp;nbsp; &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;div class=&quot;col-sm-12 text-right&quot;&gt;&lt;button class=&quot;btn btn-default btn-sm&quot; data-toggle=collapse data-target=&quot;#bottom--971936150676554859, #minifreqtable-971936150676554859&quot; aria-expanded=true aria-controls=collapseExample&gt;Toggle details&lt;/button&gt;&lt;/div&gt;&lt;div id=bottom--971936150676554859 class=collapse&gt;&lt;div class=&quot;row spacing&quot;&gt;&lt;ul class=&quot;nav nav-tabs&quot; role=tablist&gt;&lt;li role=presentation class=active&gt;&lt;a href=#-971936150676554859bottom--971936150676554859overview aria-controls=-971936150676554859bottom--971936150676554859overview role=tab data-toggle=tab&gt;Overview&lt;/a&gt;&lt;/li&gt;&lt;li role=presentation&gt;&lt;a href=#-971936150676554859bottom--971936150676554859string aria-controls=-971936150676554859bottom--971936150676554859string role=tab data-toggle=tab&gt;Categories&lt;/a&gt;&lt;/li&gt;&lt;li role=presentation&gt;&lt;a href=#-971936150676554859bottom--971936150676554859word aria-controls=-971936150676554859bottom--971936150676554859word role=tab data-toggle=tab&gt;Words&lt;/a&gt;&lt;/li&gt;&lt;li role=presentation&gt;&lt;a href=#-971936150676554859bottom--971936150676554859characters aria-controls=-971936150676554859bottom--971936150676554859characters role=tab data-toggle=tab&gt;Characters&lt;/a&gt;&lt;/li&gt;&lt;/ul&gt;&lt;div class=tab-content&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12 active&quot; 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title=&quot;Unicode blocks (click for more information)&quot;&gt;?&lt;/span&gt;&lt;/a&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;div class=&quot;caption text-center text-muted&quot;&gt; The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables. &lt;/div&gt;&lt;/div&gt;&lt;div class=col-sm-3&gt;&lt;p class=h4&gt;Unique&lt;/p&gt;&lt;table class=&quot;table table-condensed stats&quot;&gt;&lt;tbody&gt;&lt;tr&gt;&lt;th&gt;Unique&lt;/th&gt;&lt;td&gt;0 &lt;span class=&quot;badge pull-right&quot; style=color:#fff;background-color:#337ab7; title=&quot;The number of unique values (all values that occur exactly once in the dataset).&quot;&gt;?&lt;/span&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Unique (%)&lt;/th&gt;&lt;td&gt;0.0%&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div class=col-sm-3&gt;&lt;p class=h4&gt;Sample&lt;/p&gt;&lt;table class=&quot;table table-condensed stats&quot;&gt;&lt;tbody&gt;&lt;tr&gt;&lt;th&gt;1st row&lt;/th&gt;&lt;td&gt;1&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;2nd row&lt;/th&gt;&lt;td&gt;0&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;3rd row&lt;/th&gt;&lt;td&gt;1&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;4th row&lt;/th&gt;&lt;td&gt;0&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;5th row&lt;/th&gt;&lt;td&gt;1&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12&quot; 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id=-971936150676554859unicode--971936150676554859characters&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most occurring characters&lt;/h4&gt;&lt;table class=&quot;freq table table-hover table-striped&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=1&gt;1&lt;/td&gt;&lt;td&gt;4168&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 59.3% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=0&gt;0&lt;/td&gt;&lt;td&gt;2864&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:68.7%&gt; 40.7% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12&quot; id=-971936150676554859unicode--971936150676554859categories&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most occurring categories&lt;/h4&gt;&lt;table class=&quot;freq table table-hover table-striped&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=&quot;Decimal Number&quot;&gt;Decimal Number&lt;/td&gt;&lt;td&gt;7032&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 100.0% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most frequent character per category&lt;/h4&gt;&lt;div class=row&gt;&lt;div class=col-sm-6&gt;&lt;h5&gt;&lt;em&gt;Decimal Number&lt;/em&gt;&lt;/h5&gt;&lt;table class=&quot;freq table table-hover table-striped&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=1&gt;1&lt;/td&gt;&lt;td&gt;4168&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 59.3% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=0&gt;0&lt;/td&gt;&lt;td&gt;2864&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:68.7%&gt; 40.7% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12&quot; id=-971936150676554859unicode--971936150676554859scripts&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most occurring scripts&lt;/h4&gt;&lt;table class=&quot;freq table table-hover table-striped&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=Common&gt;Common&lt;/td&gt;&lt;td&gt;7032&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 100.0% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most frequent character per script&lt;/h4&gt;&lt;div class=row&gt;&lt;div class=col-sm-6&gt;&lt;h5&gt;&lt;em&gt;Common&lt;/em&gt;&lt;/h5&gt;&lt;table class=&quot;freq table table-hover table-striped&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=1&gt;1&lt;/td&gt;&lt;td&gt;4168&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 59.3% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=0&gt;0&lt;/td&gt;&lt;td&gt;2864&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:68.7%&gt; 40.7% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12&quot; id=-971936150676554859unicode--971936150676554859blocks&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most occurring blocks&lt;/h4&gt;&lt;table class=&quot;freq table table-hover table-striped&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=ASCII&gt;ASCII&lt;/td&gt;&lt;td&gt;7032&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 100.0% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most frequent character per block&lt;/h4&gt;&lt;div class=row&gt;&lt;div class=col-sm-6&gt;&lt;h5&gt;&lt;em&gt;ASCII&lt;/em&gt;&lt;/h5&gt;&lt;table class=&quot;freq table table-hover table-striped&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=1&gt;1&lt;/td&gt;&lt;td&gt;4168&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 59.3% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=0&gt;0&lt;/td&gt;&lt;td&gt;2864&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:68.7%&gt; 40.7% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;div class=&quot;row spacing&quot;&gt;&lt;a class=&quot;anchor-pos anchor-pos-variable&quot; id=pp_var_-7869679314225356676&gt;&lt;/a&gt;&lt;div class=variable&gt;&lt;div class=col-sm-3&gt;&lt;p class=h4 title=PaymentMethod&gt;&lt;a href=#pp_var_-7869679314225356676&gt;PaymentMethod&lt;/a&gt;&lt;br&gt;&lt;small&gt;Categorical&lt;/small&gt;&lt;/p&gt;&lt;p class=variable-description&gt;&lt;/p&gt;&lt;/div&gt;&lt;div class=col-sm-3&gt;&lt;table class=&quot;table table-condensed stats&quot;&gt;&lt;tbody&gt;&lt;tr&gt;&lt;th&gt;Distinct&lt;/th&gt;&lt;td&gt;4&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Distinct (%)&lt;/th&gt;&lt;td&gt;0.1%&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Missing&lt;/th&gt;&lt;td&gt;0&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Missing (%)&lt;/th&gt;&lt;td&gt;0.0%&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Memory size&lt;/th&gt;&lt;td&gt;55.1 KiB&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div class=col-sm-6&gt;&lt;div class=&quot;col-sm- collapse in&quot; id=minifreqtable&gt;&lt;table class=&quot;mini freq&quot;&gt;&lt;tr class&gt;&lt;th width=50%&gt; 2 &lt;/th&gt;&lt;td width=50%&gt;&lt;div class=bar style=width:100.0% data-toggle=tooltip data-placement=right data-html=true data-delay=500&gt; 2365&amp;nbsp; &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;th width=50%&gt; 3 &lt;/th&gt;&lt;td width=50%&gt;&lt;div class=bar style=width:67.8% data-toggle=tooltip data-placement=right data-html=true data-delay=500&gt; 1604&amp;nbsp; &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;th width=50%&gt; 0 &lt;/th&gt;&lt;td width=50%&gt;&lt;div class=bar style=width:65.2% data-toggle=tooltip data-placement=right data-html=true data-delay=500&gt; 1542&amp;nbsp; &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;th width=50%&gt; 1 &lt;/th&gt;&lt;td width=50%&gt;&lt;div class=bar style=width:64.3% data-toggle=tooltip data-placement=right data-html=true data-delay=500&gt; 1521&amp;nbsp; &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;div class=&quot;col-sm-12 text-right&quot;&gt;&lt;button class=&quot;btn btn-default btn-sm&quot; data-toggle=collapse data-target=&quot;#bottom--7869679314225356676, #minifreqtable-7869679314225356676&quot; aria-expanded=true aria-controls=collapseExample&gt;Toggle details&lt;/button&gt;&lt;/div&gt;&lt;div id=bottom--7869679314225356676 class=collapse&gt;&lt;div class=&quot;row spacing&quot;&gt;&lt;ul class=&quot;nav nav-tabs&quot; role=tablist&gt;&lt;li role=presentation class=active&gt;&lt;a href=#-7869679314225356676bottom--7869679314225356676overview aria-controls=-7869679314225356676bottom--7869679314225356676overview role=tab data-toggle=tab&gt;Overview&lt;/a&gt;&lt;/li&gt;&lt;li role=presentation&gt;&lt;a href=#-7869679314225356676bottom--7869679314225356676string aria-controls=-7869679314225356676bottom--7869679314225356676string role=tab data-toggle=tab&gt;Categories&lt;/a&gt;&lt;/li&gt;&lt;li role=presentation&gt;&lt;a href=#-7869679314225356676bottom--7869679314225356676word aria-controls=-7869679314225356676bottom--7869679314225356676word role=tab data-toggle=tab&gt;Words&lt;/a&gt;&lt;/li&gt;&lt;li role=presentation&gt;&lt;a href=#-7869679314225356676bottom--7869679314225356676characters aria-controls=-7869679314225356676bottom--7869679314225356676characters role=tab data-toggle=tab&gt;Characters&lt;/a&gt;&lt;/li&gt;&lt;/ul&gt;&lt;div class=tab-content&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12 active&quot; id=-7869679314225356676bottom--7869679314225356676overview&gt;&lt;div class=row&gt;&lt;div class=col-sm-3&gt;&lt;p class=h4&gt;Length&lt;/p&gt;&lt;table class=&quot;table table-condensed stats&quot;&gt;&lt;tbody&gt;&lt;tr&gt;&lt;th&gt;Max length&lt;/th&gt;&lt;td&gt;1&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Median length&lt;/th&gt;&lt;td&gt;1&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Mean length&lt;/th&gt;&lt;td&gt;1&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Min length&lt;/th&gt;&lt;td&gt;1&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div class=col-sm-3&gt;&lt;p class=h4&gt;Characters and Unicode&lt;/p&gt;&lt;table class=&quot;table table-condensed stats&quot;&gt;&lt;tbody&gt;&lt;tr&gt;&lt;th&gt;Total characters&lt;/th&gt;&lt;td&gt;7032&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Distinct characters&lt;/th&gt;&lt;td&gt;4&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Distinct categories&lt;/th&gt;&lt;td&gt;1 &lt;a title=&quot;Unicode categories (click for more information)&quot; href=https://en.wikipedia.org/wiki/Unicode_character_property#General_Category target=_blank&gt;&lt;span class=&quot;badge pull-right&quot; style=color:#fff;background-color:#337ab7; title=&quot;Unicode categories (click for more information)&quot;&gt;?&lt;/span&gt;&lt;/a&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Distinct scripts&lt;/th&gt;&lt;td&gt;1 &lt;a title=&quot;Unicode scripts (click for more information)&quot; href=https://en.wikipedia.org/wiki/Script_(Unicode)#List_of_scripts_in_Unicode target=_blank&gt;&lt;span class=&quot;badge pull-right&quot; style=color:#fff;background-color:#337ab7; title=&quot;Unicode scripts (click for more information)&quot;&gt;?&lt;/span&gt;&lt;/a&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Distinct blocks&lt;/th&gt;&lt;td&gt;1 &lt;a title=&quot;Unicode blocks (click for more information)&quot; href=https://en.wikipedia.org/wiki/Unicode_block target=_blank&gt;&lt;span class=&quot;badge pull-right&quot; style=color:#fff;background-color:#337ab7; title=&quot;Unicode blocks (click for more information)&quot;&gt;?&lt;/span&gt;&lt;/a&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;div class=&quot;caption text-center text-muted&quot;&gt; The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables. &lt;/div&gt;&lt;/div&gt;&lt;div class=col-sm-3&gt;&lt;p class=h4&gt;Unique&lt;/p&gt;&lt;table class=&quot;table table-condensed stats&quot;&gt;&lt;tbody&gt;&lt;tr&gt;&lt;th&gt;Unique&lt;/th&gt;&lt;td&gt;0 &lt;span class=&quot;badge pull-right&quot; style=color:#fff;background-color:#337ab7; title=&quot;The number of unique values (all values that occur exactly once in the dataset).&quot;&gt;?&lt;/span&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Unique (%)&lt;/th&gt;&lt;td&gt;0.0%&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div class=col-sm-3&gt;&lt;p class=h4&gt;Sample&lt;/p&gt;&lt;table class=&quot;table table-condensed stats&quot;&gt;&lt;tbody&gt;&lt;tr&gt;&lt;th&gt;1st row&lt;/th&gt;&lt;td&gt;2&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;2nd row&lt;/th&gt;&lt;td&gt;3&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;3rd row&lt;/th&gt;&lt;td&gt;3&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;4th row&lt;/th&gt;&lt;td&gt;0&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;5th row&lt;/th&gt;&lt;td&gt;2&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12&quot; id=-7869679314225356676bottom--7869679314225356676string&gt;&lt;div class=row&gt;&lt;div class=col-sm-4&gt;&lt;h4&gt;Common Values&lt;/h4&gt;&lt;table class=&quot;freq table table-hover table-striped&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=2&gt;2&lt;/td&gt;&lt;td&gt;2365&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 33.6% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=3&gt;3&lt;/td&gt;&lt;td&gt;1604&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:67.8%&gt; 22.8% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=0&gt;0&lt;/td&gt;&lt;td&gt;1542&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:65.2%&gt; 21.9% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=1&gt;1&lt;/td&gt;&lt;td&gt;1521&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:64.3%&gt; 21.6% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div class=col-sm-4&gt;&lt;h4&gt;Length&lt;/h4&gt;&lt;?xml version=&quot;1.0&quot; 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id=-7869679314225356676unicode--7869679314225356676characters&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most occurring characters&lt;/h4&gt;&lt;table class=&quot;freq table table-hover table-striped&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=2&gt;2&lt;/td&gt;&lt;td&gt;2365&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 33.6% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=3&gt;3&lt;/td&gt;&lt;td&gt;1604&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:67.8%&gt; 22.8% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=0&gt;0&lt;/td&gt;&lt;td&gt;1542&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:65.2%&gt; 21.9% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=1&gt;1&lt;/td&gt;&lt;td&gt;1521&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:64.3%&gt; 21.6% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12&quot; id=-7869679314225356676unicode--7869679314225356676categories&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most occurring categories&lt;/h4&gt;&lt;table class=&quot;freq table table-hover table-striped&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=&quot;Decimal Number&quot;&gt;Decimal Number&lt;/td&gt;&lt;td&gt;7032&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 100.0% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most frequent character per category&lt;/h4&gt;&lt;div class=row&gt;&lt;div class=col-sm-6&gt;&lt;h5&gt;&lt;em&gt;Decimal Number&lt;/em&gt;&lt;/h5&gt;&lt;table class=&quot;freq table table-hover table-striped&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=2&gt;2&lt;/td&gt;&lt;td&gt;2365&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 33.6% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=3&gt;3&lt;/td&gt;&lt;td&gt;1604&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:67.8%&gt; 22.8% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=0&gt;0&lt;/td&gt;&lt;td&gt;1542&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:65.2%&gt; 21.9% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=1&gt;1&lt;/td&gt;&lt;td&gt;1521&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:64.3%&gt; 21.6% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12&quot; id=-7869679314225356676unicode--7869679314225356676scripts&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most occurring scripts&lt;/h4&gt;&lt;table class=&quot;freq table table-hover table-striped&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=Common&gt;Common&lt;/td&gt;&lt;td&gt;7032&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 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-       "L 421.2 10.8 \n",
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-       "L 421.2 248.403612 \n",
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-       "L 421.2 10.8 \n",
-       "&quot;/&gt;&lt;/g&gt;&lt;/g&gt;&lt;/g&gt;&lt;defs&gt;&lt;clippath id=p08d8275424&gt;&lt;rect height=237.603612 width=369.025 x=52.175 y=10.8 /&gt;&lt;/clippath&gt;&lt;/defs&gt;&lt;/svg&gt;&lt;div class=&quot;caption text-center text-muted&quot;&gt;&lt;strong&gt;Histogram with fixed size bins&lt;/strong&gt; (bins=50) &lt;/div&gt;&lt;/div&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12&quot; id=-392675130652366039bottom--392675130652366039common_values&gt;&lt;table class=&quot;freq table table-hover table-striped&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=20.05&gt;20.05&lt;/td&gt;&lt;td&gt;61&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.9%&gt; &amp;nbsp; &lt;/div&gt; 0.9% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=19.9&gt;19.9&lt;/td&gt;&lt;td&gt;44&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.7%&gt; &amp;nbsp; &lt;/div&gt; 0.6% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=19.95&gt;19.95&lt;/td&gt;&lt;td&gt;44&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.7%&gt; &amp;nbsp; &lt;/div&gt; 0.6% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=19.85&gt;19.85&lt;/td&gt;&lt;td&gt;44&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.7%&gt; &amp;nbsp; &lt;/div&gt; 0.6% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=19.65&gt;19.65&lt;/td&gt;&lt;td&gt;43&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.7%&gt; &amp;nbsp; &lt;/div&gt; 0.6% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=19.7&gt;19.7&lt;/td&gt;&lt;td&gt;42&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.6%&gt; &amp;nbsp; &lt;/div&gt; 0.6% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=20&gt;20&lt;/td&gt;&lt;td&gt;42&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.6%&gt; &amp;nbsp; &lt;/div&gt; 0.6% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=19.55&gt;19.55&lt;/td&gt;&lt;td&gt;40&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.6%&gt; &amp;nbsp; &lt;/div&gt; 0.6% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=20.15&gt;20.15&lt;/td&gt;&lt;td&gt;40&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.6%&gt; &amp;nbsp; &lt;/div&gt; 0.6% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=19.75&gt;19.75&lt;/td&gt;&lt;td&gt;39&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.6%&gt; &amp;nbsp; &lt;/div&gt; 0.6% &lt;/td&gt;&lt;/tr&gt;&lt;tr class=other&gt;&lt;td title=&quot;Other values (1574)&quot;&gt;Other values (1574)&lt;/td&gt;&lt;td&gt;6593&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 93.8% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12&quot; id=-392675130652366039bottom--392675130652366039extreme_values&gt;&lt;div class=&quot;row spacing&quot;&gt;&lt;ul class=&quot;nav nav-tabs&quot; role=tablist&gt;&lt;li role=presentation class=active&gt;&lt;a href=#-392675130652366039extreme_values--392675130652366039firstn aria-controls=-392675130652366039extreme_values--392675130652366039firstn role=tab data-toggle=tab&gt;Minimum 5 values&lt;/a&gt;&lt;/li&gt;&lt;li role=presentation&gt;&lt;a href=#-392675130652366039extreme_values--392675130652366039lastn aria-controls=-392675130652366039extreme_values--392675130652366039lastn role=tab data-toggle=tab&gt;Maximum 5 values&lt;/a&gt;&lt;/li&gt;&lt;/ul&gt;&lt;div class=tab-content&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12 active&quot; id=-392675130652366039extreme_values--392675130652366039firstn&gt;&lt;table class=&quot;freq table table-hover table-striped&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=18.25&gt;18.25&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:14.3%&gt; &amp;nbsp; &lt;/div&gt;&lt; 0.1% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=18.4&gt;18.4&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:14.3%&gt; &amp;nbsp; &lt;/div&gt;&lt; 0.1% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=18.55&gt;18.55&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:14.3%&gt; &amp;nbsp; &lt;/div&gt;&lt; 0.1% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=18.7&gt;18.7&lt;/td&gt;&lt;td&gt;2&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:28.6%&gt; &amp;nbsp; &lt;/div&gt;&lt; 0.1% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=18.75&gt;18.75&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:14.3%&gt; &amp;nbsp; &lt;/div&gt;&lt; 0.1% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=18.8&gt;18.8&lt;/td&gt;&lt;td&gt;7&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 0.1% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=18.85&gt;18.85&lt;/td&gt;&lt;td&gt;5&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:71.4%&gt; 0.1% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=18.9&gt;18.9&lt;/td&gt;&lt;td&gt;2&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:28.6%&gt; &amp;nbsp; &lt;/div&gt;&lt; 0.1% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=18.95&gt;18.95&lt;/td&gt;&lt;td&gt;6&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:85.7%&gt; 0.1% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=19&gt;19&lt;/td&gt;&lt;td&gt;7&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 0.1% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12&quot; id=-392675130652366039extreme_values--392675130652366039lastn&gt;&lt;table class=&quot;freq table table-hover table-striped&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=118.75&gt;118.75&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:50.0%&gt;&lt; 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-       "L 421.2 12.387196 \n",
-       "&quot;/&gt;&lt;/g&gt;&lt;/g&gt;&lt;/g&gt;&lt;defs&gt;&lt;clippath id=p7e5099cb0a&gt;&lt;rect height=232.03894 width=363.4 x=57.8 y=12.387196 /&gt;&lt;/clippath&gt;&lt;/defs&gt;&lt;/svg&gt;&lt;div class=&quot;caption text-center text-muted&quot;&gt;&lt;strong&gt;Histogram with fixed size bins&lt;/strong&gt; (bins=50) &lt;/div&gt;&lt;/div&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12&quot; id=-2226482771532373306bottom--2226482771532373306common_values&gt;&lt;table class=&quot;freq table table-hover table-striped&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=20.2&gt;20.2&lt;/td&gt;&lt;td&gt;11&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.2%&gt; &amp;nbsp; &lt;/div&gt; 0.2% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=19.75&gt;19.75&lt;/td&gt;&lt;td&gt;9&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.1%&gt; &amp;nbsp; &lt;/div&gt; 0.1% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=20.05&gt;20.05&lt;/td&gt;&lt;td&gt;8&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.1%&gt; &amp;nbsp; &lt;/div&gt; 0.1% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=19.65&gt;19.65&lt;/td&gt;&lt;td&gt;8&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.1%&gt; &amp;nbsp; &lt;/div&gt; 0.1% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=19.9&gt;19.9&lt;/td&gt;&lt;td&gt;8&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.1%&gt; &amp;nbsp; &lt;/div&gt; 0.1% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=19.55&gt;19.55&lt;/td&gt;&lt;td&gt;7&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.1%&gt; &amp;nbsp; &lt;/div&gt; 0.1% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=45.3&gt;45.3&lt;/td&gt;&lt;td&gt;7&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.1%&gt; &amp;nbsp; &lt;/div&gt; 0.1% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=19.45&gt;19.45&lt;/td&gt;&lt;td&gt;6&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.1%&gt; &amp;nbsp; &lt;/div&gt; 0.1% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=20.25&gt;20.25&lt;/td&gt;&lt;td&gt;6&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.1%&gt; &amp;nbsp; &lt;/div&gt; 0.1% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=20.15&gt;20.15&lt;/td&gt;&lt;td&gt;6&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.1%&gt; &amp;nbsp; &lt;/div&gt; 0.1% &lt;/td&gt;&lt;/tr&gt;&lt;tr class=other&gt;&lt;td title=&quot;Other values (6520)&quot;&gt;Other values (6520)&lt;/td&gt;&lt;td&gt;6956&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 98.9% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12&quot; id=-2226482771532373306bottom--2226482771532373306extreme_values&gt;&lt;div class=&quot;row spacing&quot;&gt;&lt;ul class=&quot;nav nav-tabs&quot; role=tablist&gt;&lt;li role=presentation class=active&gt;&lt;a href=#-2226482771532373306extreme_values--2226482771532373306firstn aria-controls=-2226482771532373306extreme_values--2226482771532373306firstn role=tab data-toggle=tab&gt;Minimum 5 values&lt;/a&gt;&lt;/li&gt;&lt;li role=presentation&gt;&lt;a href=#-2226482771532373306extreme_values--2226482771532373306lastn aria-controls=-2226482771532373306extreme_values--2226482771532373306lastn role=tab data-toggle=tab&gt;Maximum 5 values&lt;/a&gt;&lt;/li&gt;&lt;/ul&gt;&lt;div class=tab-content&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12 active&quot; id=-2226482771532373306extreme_values--2226482771532373306firstn&gt;&lt;table class=&quot;freq table table-hover table-striped&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=18.8&gt;18.8&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:25.0%&gt; &amp;nbsp; &lt;/div&gt;&lt; 0.1% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=18.85&gt;18.85&lt;/td&gt;&lt;td&gt;2&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:50.0%&gt;&lt; 0.1% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=18.9&gt;18.9&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:25.0%&gt; &amp;nbsp; &lt;/div&gt;&lt; 0.1% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=19&gt;19&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:25.0%&gt; &amp;nbsp; &lt;/div&gt;&lt; 0.1% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=19.05&gt;19.05&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:25.0%&gt; &amp;nbsp; &lt;/div&gt;&lt; 0.1% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=19.1&gt;19.1&lt;/td&gt;&lt;td&gt;3&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:75.0%&gt;&lt; 0.1% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=19.15&gt;19.15&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:25.0%&gt; &amp;nbsp; &lt;/div&gt;&lt; 0.1% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=19.2&gt;19.2&lt;/td&gt;&lt;td&gt;4&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 0.1% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=19.25&gt;19.25&lt;/td&gt;&lt;td&gt;3&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:75.0%&gt;&lt; 0.1% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=19.3&gt;19.3&lt;/td&gt;&lt;td&gt;4&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 0.1% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12&quot; id=-2226482771532373306extreme_values--2226482771532373306lastn&gt;&lt;table class=&quot;freq table table-hover table-striped&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=8684.8&gt;8684.8&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&lt; 0.1% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=8672.45&gt;8672.45&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&lt; 0.1% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=8670.1&gt;8670.1&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&lt; 0.1% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=8594.4&gt;8594.4&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&lt; 0.1% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=8564.75&gt;8564.75&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&lt; 0.1% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=8547.15&gt;8547.15&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&lt; 0.1% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=8543.25&gt;8543.25&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&lt; 0.1% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=8529.5&gt;8529.5&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&lt; 0.1% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=8496.7&gt;8496.7&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&lt; 0.1% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=8477.7&gt;8477.7&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&lt; 0.1% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;div class=&quot;row spacing&quot;&gt;&lt;a class=&quot;anchor-pos anchor-pos-variable&quot; id=pp_var_7224857233514851466&gt;&lt;/a&gt;&lt;div class=variable&gt;&lt;div class=col-sm-3&gt;&lt;p class=h4 title=Churn&gt;&lt;a href=#pp_var_7224857233514851466&gt;Churn&lt;/a&gt;&lt;br&gt;&lt;small&gt;Categorical&lt;/small&gt;&lt;/p&gt;&lt;p class=variable-description&gt;&lt;/p&gt;&lt;/div&gt;&lt;div class=col-sm-3&gt;&lt;table class=&quot;table table-condensed stats&quot;&gt;&lt;tbody&gt;&lt;tr&gt;&lt;th&gt;Distinct&lt;/th&gt;&lt;td&gt;2&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Distinct (%)&lt;/th&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Missing&lt;/th&gt;&lt;td&gt;0&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Missing (%)&lt;/th&gt;&lt;td&gt;0.0%&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Memory size&lt;/th&gt;&lt;td&gt;55.1 KiB&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div class=col-sm-6&gt;&lt;div class=&quot;col-sm- collapse in&quot; id=minifreqtable&gt;&lt;table class=&quot;mini freq&quot;&gt;&lt;tr class&gt;&lt;th width=50%&gt; 0 &lt;/th&gt;&lt;td width=50%&gt;&lt;div class=bar style=width:100.0% data-toggle=tooltip data-placement=right data-html=true data-delay=500&gt; 5163&amp;nbsp; &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;th width=50%&gt; 1 &lt;/th&gt;&lt;td width=50%&gt;&lt;div class=bar style=width:36.2% data-toggle=tooltip data-placement=right data-html=true data-delay=500&gt; 1869&amp;nbsp; &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;div class=&quot;col-sm-12 text-right&quot;&gt;&lt;button class=&quot;btn btn-default btn-sm&quot; data-toggle=collapse data-target=&quot;#bottom-7224857233514851466, #minifreqtable7224857233514851466&quot; aria-expanded=true aria-controls=collapseExample&gt;Toggle details&lt;/button&gt;&lt;/div&gt;&lt;div id=bottom-7224857233514851466 class=collapse&gt;&lt;div class=&quot;row spacing&quot;&gt;&lt;ul class=&quot;nav nav-tabs&quot; role=tablist&gt;&lt;li role=presentation class=active&gt;&lt;a href=#7224857233514851466bottom-7224857233514851466overview aria-controls=7224857233514851466bottom-7224857233514851466overview role=tab data-toggle=tab&gt;Overview&lt;/a&gt;&lt;/li&gt;&lt;li role=presentation&gt;&lt;a href=#7224857233514851466bottom-7224857233514851466string aria-controls=7224857233514851466bottom-7224857233514851466string role=tab data-toggle=tab&gt;Categories&lt;/a&gt;&lt;/li&gt;&lt;li role=presentation&gt;&lt;a href=#7224857233514851466bottom-7224857233514851466word aria-controls=7224857233514851466bottom-7224857233514851466word role=tab data-toggle=tab&gt;Words&lt;/a&gt;&lt;/li&gt;&lt;li role=presentation&gt;&lt;a href=#7224857233514851466bottom-7224857233514851466characters aria-controls=7224857233514851466bottom-7224857233514851466characters role=tab data-toggle=tab&gt;Characters&lt;/a&gt;&lt;/li&gt;&lt;/ul&gt;&lt;div class=tab-content&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12 active&quot; 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title=&quot;Unicode blocks (click for more information)&quot;&gt;?&lt;/span&gt;&lt;/a&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;div class=&quot;caption text-center text-muted&quot;&gt; The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables. &lt;/div&gt;&lt;/div&gt;&lt;div class=col-sm-3&gt;&lt;p class=h4&gt;Unique&lt;/p&gt;&lt;table class=&quot;table table-condensed stats&quot;&gt;&lt;tbody&gt;&lt;tr&gt;&lt;th&gt;Unique&lt;/th&gt;&lt;td&gt;0 &lt;span class=&quot;badge pull-right&quot; style=color:#fff;background-color:#337ab7; title=&quot;The number of unique values (all values that occur exactly once in the dataset).&quot;&gt;?&lt;/span&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Unique (%)&lt;/th&gt;&lt;td&gt;0.0%&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div class=col-sm-3&gt;&lt;p class=h4&gt;Sample&lt;/p&gt;&lt;table class=&quot;table table-condensed stats&quot;&gt;&lt;tbody&gt;&lt;tr&gt;&lt;th&gt;1st row&lt;/th&gt;&lt;td&gt;0&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;2nd row&lt;/th&gt;&lt;td&gt;0&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;3rd row&lt;/th&gt;&lt;td&gt;1&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;4th row&lt;/th&gt;&lt;td&gt;0&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;5th row&lt;/th&gt;&lt;td&gt;1&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12&quot; 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-       "&quot;/&gt;&lt;/g&gt;&lt;g id=line2d_21&gt;&lt;path clip-path=url(#p6d9c4c9df2) style=fill:none;stroke:#ffffff;stroke-linecap:round;stroke-width:1.75; d=&quot;M 621.818182 230.4 \n",
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-       "&quot;/&gt;&lt;/g&gt;&lt;/g&gt;&lt;/g&gt;&lt;defs&gt;&lt;clippath id=p6d9c4c9df2&gt;&lt;rect height=144 width=576 x=72 y=86.4 /&gt;&lt;/clippath&gt;&lt;/defs&gt;&lt;/svg&gt;&lt;div class=&quot;caption text-center text-muted&quot;&gt; Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion. &lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;div class=&quot;row header&quot;&gt;&lt;a class=anchor-pos id=sample&gt;&lt;/a&gt;&lt;h1 class=page-header&gt;Sample&lt;/h1&gt;&lt;/div&gt;&lt;div class=section-items&gt;&lt;div class=&quot;row spacing&quot;&gt;&lt;h2 class=indent&gt;First rows&lt;/h2&gt;&lt;div id=sample-container class=col-sm-12&gt;&lt;table border=1 class=&quot;dataframe sample table table-striped&quot;&gt;&lt;thead&gt;&lt;tr style=&quot;text-align: right;&quot;&gt;&lt;th&gt;&lt;/th&gt;&lt;th&gt;df_index&lt;/th&gt;&lt;th&gt;customerID&lt;/th&gt;&lt;th&gt;gender&lt;/th&gt;&lt;th&gt;SeniorCitizen&lt;/th&gt;&lt;th&gt;Partner&lt;/th&gt;&lt;th&gt;Dependents&lt;/th&gt;&lt;th&gt;tenure&lt;/th&gt;&lt;th&gt;PhoneService&lt;/th&gt;&lt;th&gt;MultipleLines&lt;/th&gt;&lt;th&gt;InternetService&lt;/th&gt;&lt;th&gt;OnlineSecurity&lt;/th&gt;&lt;th&gt;OnlineBackup&lt;/th&gt;&lt;th&gt;DeviceProtection&lt;/th&gt;&lt;th&gt;TechSupport&lt;/th&gt;&lt;th&gt;StreamingTV&lt;/th&gt;&lt;th&gt;StreamingMovies&lt;/th&gt;&lt;th&gt;Contract&lt;/th&gt;&lt;th&gt;PaperlessBilling&lt;/th&gt;&lt;th&gt;PaymentMethod&lt;/th&gt;&lt;th&gt;MonthlyCharges&lt;/th&gt;&lt;th&gt;TotalCharges&lt;/th&gt;&lt;th&gt;Churn&lt;/th&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr&gt;&lt;th&gt;0&lt;/th&gt;&lt;td&gt;0&lt;/td&gt;&lt;td&gt;5365&lt;/td&gt;&lt;td&gt;0&lt;/td&gt;&lt;td&gt;0&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;0&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;0&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;0&lt;/td&gt;&lt;td&gt;0&lt;/td&gt;&lt;td&gt;2&lt;/td&gt;&lt;td&gt;0&lt;/td&gt;&lt;td&gt;0&lt;/td&gt;&lt;td&gt;0&lt;/td&gt;&lt;td&gt;0&lt;/td&gt;&lt;td&gt;0&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;2&lt;/td&gt;&lt;td&gt;29.85&lt;/td&gt;&lt;td&gt;29.85&lt;/td&gt;&lt;td&gt;0&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;1&lt;/th&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;3953&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;0&lt;/td&gt;&lt;td&gt;0&lt;/td&gt;&lt;td&gt;0&lt;/td&gt;&lt;td&gt;34&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;0&lt;/td&gt;&lt;td&gt;0&lt;/td&gt;&lt;td&gt;2&lt;/td&gt;&lt;td&gt;0&lt;/td&gt;&lt;td&gt;2&lt;/td&gt;&lt;td&gt;0&lt;/td&gt;&lt;td&gt;0&lt;/td&gt;&lt;td&gt;0&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;0&lt;/td&gt;&lt;td&gt;3&lt;/td&gt;&lt;td&gt;56.95&lt;/td&gt;&lt;td&gt;1889.50&lt;/td&gt;&lt;td&gt;0&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;2&lt;/th&gt;&lt;td&gt;2&lt;/td&gt;&lt;td&gt;2558&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;0&lt;/td&gt;&lt;td&gt;0&lt;/td&gt;&lt;td&gt;0&lt;/td&gt;&lt;td&gt;2&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;0&lt;/td&gt;&lt;td&gt;0&lt;/td&gt;&lt;td&gt;2&lt;/td&gt;&lt;td&gt;2&lt;/td&gt;&lt;td&gt;0&lt;/td&gt;&lt;td&gt;0&lt;/td&gt;&lt;td&gt;0&lt;/td&gt;&lt;td&gt;0&lt;/td&gt;&lt;td&gt;0&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;3&lt;/td&gt;&lt;td&gt;53.85&lt;/td&gt;&lt;td&gt;108.15&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;3&lt;/th&gt;&lt;td&gt;3&lt;/td&gt;&lt;td&gt;5524&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;0&lt;/td&gt;&lt;td&gt;0&lt;/td&gt;&lt;td&gt;0&lt;/td&gt;&lt;td&gt;45&lt;/td&gt;&lt;td&gt;0&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;0&lt;/td&gt;&lt;td&gt;2&lt;/td&gt;&lt;td&gt;0&lt;/td&gt;&lt;td&gt;2&lt;/td&gt;&lt;td&gt;2&lt;/td&gt;&lt;td&gt;0&lt;/td&gt;&lt;td&gt;0&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;0&lt;/td&gt;&lt;td&gt;0&lt;/td&gt;&lt;td&gt;42.30&lt;/td&gt;&lt;td&gt;1840.75&lt;/td&gt;&lt;td&gt;0&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;4&lt;/th&gt;&lt;td&gt;4&lt;/td&gt;&lt;td&gt;6500&lt;/td&gt;&lt;td&gt;0&lt;/td&gt;&lt;td&gt;0&lt;/td&gt;&lt;td&gt;0&lt;/td&gt;&lt;td&gt;0&lt;/td&gt;&lt;td&gt;2&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;0&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;0&lt;/td&gt;&lt;td&gt;0&lt;/td&gt;&lt;td&gt;0&lt;/td&gt;&lt;td&gt;0&lt;/td&gt;&lt;td&gt;0&lt;/td&gt;&lt;td&gt;0&lt;/td&gt;&lt;td&gt;0&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;2&lt;/td&gt;&lt;td&gt;70.70&lt;/td&gt;&lt;td&gt;151.65&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;5&lt;/th&gt;&lt;td&gt;5&lt;/td&gt;&lt;td&gt;6540&lt;/td&gt;&lt;td&gt;0&lt;/td&gt;&lt;td&gt;0&lt;/td&gt;&lt;td&gt;0&lt;/td&gt;&lt;td&gt;0&lt;/td&gt;&lt;td&gt;8&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;2&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;0&lt;/td&gt;&lt;td&gt;0&lt;/td&gt;&lt;td&gt;2&lt;/td&gt;&lt;td&gt;0&lt;/td&gt;&lt;td&gt;2&lt;/td&gt;&lt;td&gt;2&lt;/td&gt;&lt;td&gt;0&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;2&lt;/td&gt;&lt;td&gt;99.65&lt;/td&gt;&lt;td&gt;820.50&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;6&lt;/th&gt;&lt;td&gt;6&lt;/td&gt;&lt;td&gt;1001&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;0&lt;/td&gt;&lt;td&gt;0&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;22&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;2&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;0&lt;/td&gt;&lt;td&gt;2&lt;/td&gt;&lt;td&gt;0&lt;/td&gt;&lt;td&gt;0&lt;/td&gt;&lt;td&gt;2&lt;/td&gt;&lt;td&gt;0&lt;/td&gt;&lt;td&gt;0&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;89.10&lt;/td&gt;&lt;td&gt;1949.40&lt;/td&gt;&lt;td&gt;0&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;7&lt;/th&gt;&lt;td&gt;7&lt;/td&gt;&lt;td&gt;4760&lt;/td&gt;&lt;td&gt;0&lt;/td&gt;&lt;td&gt;0&lt;/td&gt;&lt;td&gt;0&lt;/td&gt;&lt;td&gt;0&lt;/td&gt;&lt;td&gt;10&lt;/td&gt;&lt;td&gt;0&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;0&lt;/td&gt;&lt;td&gt;2&lt;/td&gt;&lt;td&gt;0&lt;/td&gt;&lt;td&gt;0&lt;/td&gt;&lt;td&gt;0&lt;/td&gt;&lt;td&gt;0&lt;/td&gt;&lt;td&gt;0&lt;/td&gt;&lt;td&gt;0&lt;/td&gt;&lt;td&gt;0&lt;/td&gt;&lt;td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-    "pandas_profiling.ProfileReport(data2)\n",
-    "\n",
-    "#The main disadvantage of pandas profiling is its use with large datasets.\n",
-    "#With the increase in the size of the data the time to generate the report also increases a lot."
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-   "execution_count": 17,
-   "id": "c12ed8cf",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "def var_summary(x):\n",
-    "    uc = x.mean()+(2*x.std())\n",
-    "    lc = x.mean()-(2*x.std())\n",
-    "    \n",
-    "    for i in x:\n",
-    "        if i<lc or i>uc:\n",
-    "            count = 1\n",
-    "        else:\n",
-    "            count = 0\n",
-    "    outlier_flag = count\n",
-    "    return pd.Series([x.count(), x.isnull().sum(), x.sum(), x.mean(), x.median(),  x.std(), x.var(), x.min(), x.quantile(0.01), x.quantile(0.05),x.quantile(0.10),x.quantile(0.25),x.quantile(0.50),x.quantile(0.75), x.quantile(0.90),x.quantile(0.95), x.quantile(0.99),x.max() , lc , uc,outlier_flag],\n",
-    "                  index=['N', 'NMISS', 'SUM', 'MEAN','MEDIAN', 'STD', 'VAR', 'MIN', 'P1' , 'P5' ,'P10' ,'P25' ,'P50' ,'P75' ,'P90' ,'P95' ,'P99' ,'MAX','LC','UC','outlier_flag'])\n",
-    "\n",
-    "\n",
-    "\n"
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-   "id": "eb5ff419",
-   "metadata": {},
-   "outputs": [
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-       "      <td>1.000</td>\n",
-       "      <td>1.0000</td>\n",
-       "      <td>1.0000</td>\n",
-       "      <td>1.00</td>\n",
-       "      <td>0.312157</td>\n",
-       "      <td>1.494441</td>\n",
-       "      <td>0.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>MultipleLines</th>\n",
-       "      <td>7032.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>6614.0</td>\n",
-       "      <td>0.940557</td>\n",
-       "      <td>1.000</td>\n",
-       "      <td>0.948627</td>\n",
-       "      <td>8.998938e-01</td>\n",
-       "      <td>0.00</td>\n",
-       "      <td>0.00</td>\n",
-       "      <td>0.000</td>\n",
-       "      <td>...</td>\n",
-       "      <td>0.0000</td>\n",
-       "      <td>1.000</td>\n",
-       "      <td>2.0000</td>\n",
-       "      <td>2.000</td>\n",
-       "      <td>2.0000</td>\n",
-       "      <td>2.0000</td>\n",
-       "      <td>2.00</td>\n",
-       "      <td>-0.956697</td>\n",
-       "      <td>2.837812</td>\n",
-       "      <td>0.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>InternetService</th>\n",
-       "      <td>7032.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>6136.0</td>\n",
-       "      <td>0.872582</td>\n",
-       "      <td>1.000</td>\n",
-       "      <td>0.737271</td>\n",
-       "      <td>5.435690e-01</td>\n",
-       "      <td>0.00</td>\n",
-       "      <td>0.00</td>\n",
-       "      <td>0.000</td>\n",
-       "      <td>...</td>\n",
-       "      <td>0.0000</td>\n",
-       "      <td>1.000</td>\n",
-       "      <td>1.0000</td>\n",
-       "      <td>2.000</td>\n",
-       "      <td>2.0000</td>\n",
-       "      <td>2.0000</td>\n",
-       "      <td>2.00</td>\n",
-       "      <td>-0.601960</td>\n",
-       "      <td>2.347125</td>\n",
-       "      <td>0.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>OnlineSecurity</th>\n",
-       "      <td>7032.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>5550.0</td>\n",
-       "      <td>0.789249</td>\n",
-       "      <td>1.000</td>\n",
-       "      <td>0.859962</td>\n",
-       "      <td>7.395345e-01</td>\n",
-       "      <td>0.00</td>\n",
-       "      <td>0.00</td>\n",
-       "      <td>0.000</td>\n",
-       "      <td>...</td>\n",
-       "      <td>0.0000</td>\n",
-       "      <td>1.000</td>\n",
-       "      <td>2.0000</td>\n",
-       "      <td>2.000</td>\n",
-       "      <td>2.0000</td>\n",
-       "      <td>2.0000</td>\n",
-       "      <td>2.00</td>\n",
-       "      <td>-0.930675</td>\n",
-       "      <td>2.509173</td>\n",
-       "      <td>0.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>OnlineBackup</th>\n",
-       "      <td>7032.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>6370.0</td>\n",
-       "      <td>0.905859</td>\n",
-       "      <td>1.000</td>\n",
-       "      <td>0.880394</td>\n",
-       "      <td>7.750930e-01</td>\n",
-       "      <td>0.00</td>\n",
-       "      <td>0.00</td>\n",
-       "      <td>0.000</td>\n",
-       "      <td>...</td>\n",
-       "      <td>0.0000</td>\n",
-       "      <td>1.000</td>\n",
-       "      <td>2.0000</td>\n",
-       "      <td>2.000</td>\n",
-       "      <td>2.0000</td>\n",
-       "      <td>2.0000</td>\n",
-       "      <td>2.00</td>\n",
-       "      <td>-0.854928</td>\n",
-       "      <td>2.666646</td>\n",
-       "      <td>0.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>DeviceProtection</th>\n",
-       "      <td>7032.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>6356.0</td>\n",
-       "      <td>0.903868</td>\n",
-       "      <td>1.000</td>\n",
-       "      <td>0.880178</td>\n",
-       "      <td>7.747141e-01</td>\n",
-       "      <td>0.00</td>\n",
-       "      <td>0.00</td>\n",
-       "      <td>0.000</td>\n",
-       "      <td>...</td>\n",
-       "      <td>0.0000</td>\n",
-       "      <td>1.000</td>\n",
-       "      <td>2.0000</td>\n",
-       "      <td>2.000</td>\n",
-       "      <td>2.0000</td>\n",
-       "      <td>2.0000</td>\n",
-       "      <td>2.00</td>\n",
-       "      <td>-0.856489</td>\n",
-       "      <td>2.664225</td>\n",
-       "      <td>0.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>TechSupport</th>\n",
-       "      <td>7032.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>5600.0</td>\n",
-       "      <td>0.796359</td>\n",
-       "      <td>1.000</td>\n",
-       "      <td>0.861674</td>\n",
-       "      <td>7.424814e-01</td>\n",
-       "      <td>0.00</td>\n",
-       "      <td>0.00</td>\n",
-       "      <td>0.000</td>\n",
-       "      <td>...</td>\n",
-       "      <td>0.0000</td>\n",
-       "      <td>1.000</td>\n",
-       "      <td>2.0000</td>\n",
-       "      <td>2.000</td>\n",
-       "      <td>2.0000</td>\n",
-       "      <td>2.0000</td>\n",
-       "      <td>2.00</td>\n",
-       "      <td>-0.926988</td>\n",
-       "      <td>2.519707</td>\n",
-       "      <td>0.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>StreamingTV</th>\n",
-       "      <td>7032.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>6926.0</td>\n",
-       "      <td>0.984926</td>\n",
-       "      <td>1.000</td>\n",
-       "      <td>0.885285</td>\n",
-       "      <td>7.837295e-01</td>\n",
-       "      <td>0.00</td>\n",
-       "      <td>0.00</td>\n",
-       "      <td>0.000</td>\n",
-       "      <td>...</td>\n",
-       "      <td>0.0000</td>\n",
-       "      <td>1.000</td>\n",
-       "      <td>2.0000</td>\n",
-       "      <td>2.000</td>\n",
-       "      <td>2.0000</td>\n",
-       "      <td>2.0000</td>\n",
-       "      <td>2.00</td>\n",
-       "      <td>-0.785644</td>\n",
-       "      <td>2.755496</td>\n",
-       "      <td>0.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>StreamingMovies</th>\n",
-       "      <td>7032.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>6982.0</td>\n",
-       "      <td>0.992890</td>\n",
-       "      <td>1.000</td>\n",
-       "      <td>0.885385</td>\n",
-       "      <td>7.839062e-01</td>\n",
-       "      <td>0.00</td>\n",
-       "      <td>0.00</td>\n",
-       "      <td>0.000</td>\n",
-       "      <td>...</td>\n",
-       "      <td>0.0000</td>\n",
-       "      <td>1.000</td>\n",
-       "      <td>2.0000</td>\n",
-       "      <td>2.000</td>\n",
-       "      <td>2.0000</td>\n",
-       "      <td>2.0000</td>\n",
-       "      <td>2.00</td>\n",
-       "      <td>-0.777880</td>\n",
-       "      <td>2.763659</td>\n",
-       "      <td>0.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>Contract</th>\n",
-       "      <td>7032.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>4842.0</td>\n",
-       "      <td>0.688567</td>\n",
-       "      <td>0.000</td>\n",
-       "      <td>0.832934</td>\n",
-       "      <td>6.937791e-01</td>\n",
-       "      <td>0.00</td>\n",
-       "      <td>0.00</td>\n",
-       "      <td>0.000</td>\n",
-       "      <td>...</td>\n",
-       "      <td>0.0000</td>\n",
-       "      <td>0.000</td>\n",
-       "      <td>1.0000</td>\n",
-       "      <td>2.000</td>\n",
-       "      <td>2.0000</td>\n",
-       "      <td>2.0000</td>\n",
-       "      <td>2.00</td>\n",
-       "      <td>-0.977301</td>\n",
-       "      <td>2.354435</td>\n",
-       "      <td>0.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>PaperlessBilling</th>\n",
-       "      <td>7032.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>4168.0</td>\n",
-       "      <td>0.592719</td>\n",
-       "      <td>1.000</td>\n",
-       "      <td>0.491363</td>\n",
-       "      <td>2.414375e-01</td>\n",
-       "      <td>0.00</td>\n",
-       "      <td>0.00</td>\n",
-       "      <td>0.000</td>\n",
-       "      <td>...</td>\n",
-       "      <td>0.0000</td>\n",
-       "      <td>1.000</td>\n",
-       "      <td>1.0000</td>\n",
-       "      <td>1.000</td>\n",
-       "      <td>1.0000</td>\n",
-       "      <td>1.0000</td>\n",
-       "      <td>1.00</td>\n",
-       "      <td>-0.390007</td>\n",
-       "      <td>1.575445</td>\n",
-       "      <td>0.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>PaymentMethod</th>\n",
-       "      <td>7032.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>11063.0</td>\n",
-       "      <td>1.573237</td>\n",
-       "      <td>2.000</td>\n",
-       "      <td>1.067504</td>\n",
-       "      <td>1.139565e+00</td>\n",
-       "      <td>0.00</td>\n",
-       "      <td>0.00</td>\n",
-       "      <td>0.000</td>\n",
-       "      <td>...</td>\n",
-       "      <td>1.0000</td>\n",
-       "      <td>2.000</td>\n",
-       "      <td>2.0000</td>\n",
-       "      <td>3.000</td>\n",
-       "      <td>3.0000</td>\n",
-       "      <td>3.0000</td>\n",
-       "      <td>3.00</td>\n",
-       "      <td>-0.561772</td>\n",
-       "      <td>3.708245</td>\n",
-       "      <td>0.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>MonthlyCharges</th>\n",
-       "      <td>7032.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>455661.0</td>\n",
-       "      <td>64.798208</td>\n",
-       "      <td>70.350</td>\n",
-       "      <td>30.085974</td>\n",
-       "      <td>9.051658e+02</td>\n",
-       "      <td>18.25</td>\n",
-       "      <td>19.20</td>\n",
-       "      <td>19.650</td>\n",
-       "      <td>...</td>\n",
-       "      <td>35.5875</td>\n",
-       "      <td>70.350</td>\n",
-       "      <td>89.8625</td>\n",
-       "      <td>102.645</td>\n",
-       "      <td>107.4225</td>\n",
-       "      <td>114.7345</td>\n",
-       "      <td>118.75</td>\n",
-       "      <td>4.626260</td>\n",
-       "      <td>124.970156</td>\n",
-       "      <td>0.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>TotalCharges</th>\n",
-       "      <td>7032.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>16056168.7</td>\n",
-       "      <td>2283.300441</td>\n",
-       "      <td>1397.475</td>\n",
-       "      <td>2266.771362</td>\n",
-       "      <td>5.138252e+06</td>\n",
-       "      <td>18.80</td>\n",
-       "      <td>19.90</td>\n",
-       "      <td>49.605</td>\n",
-       "      <td>...</td>\n",
-       "      <td>401.4500</td>\n",
-       "      <td>1397.475</td>\n",
-       "      <td>3794.7375</td>\n",
-       "      <td>5976.640</td>\n",
-       "      <td>6923.5900</td>\n",
-       "      <td>8039.8830</td>\n",
-       "      <td>8684.80</td>\n",
-       "      <td>-2250.242283</td>\n",
-       "      <td>6816.843165</td>\n",
-       "      <td>1.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>Churn</th>\n",
-       "      <td>7032.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>1869.0</td>\n",
-       "      <td>0.265785</td>\n",
-       "      <td>0.000</td>\n",
-       "      <td>0.441782</td>\n",
-       "      <td>1.951711e-01</td>\n",
-       "      <td>0.00</td>\n",
-       "      <td>0.00</td>\n",
-       "      <td>0.000</td>\n",
-       "      <td>...</td>\n",
-       "      <td>0.0000</td>\n",
-       "      <td>0.000</td>\n",
-       "      <td>1.0000</td>\n",
-       "      <td>1.000</td>\n",
-       "      <td>1.0000</td>\n",
-       "      <td>1.0000</td>\n",
-       "      <td>1.00</td>\n",
-       "      <td>-0.617778</td>\n",
-       "      <td>1.149348</td>\n",
-       "      <td>0.0</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "<p>22 rows × 21 columns</p>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "                       N  NMISS         SUM         MEAN    MEDIAN  \\\n",
-       "df_index          7032.0    0.0  24763625.0  3521.562144  3521.500   \n",
-       "customerID        7032.0    0.0  24720996.0  3515.500000  3515.500   \n",
-       "gender            7032.0    0.0      3549.0     0.504693     1.000   \n",
-       "SeniorCitizen     7032.0    0.0      1142.0     0.162400     0.000   \n",
-       "Partner           7032.0    0.0      3393.0     0.482509     0.000   \n",
-       "Dependents        7032.0    0.0      2099.0     0.298493     0.000   \n",
-       "tenure            7032.0    0.0    227990.0    32.421786    29.000   \n",
-       "PhoneService      7032.0    0.0      6352.0     0.903299     1.000   \n",
-       "MultipleLines     7032.0    0.0      6614.0     0.940557     1.000   \n",
-       "InternetService   7032.0    0.0      6136.0     0.872582     1.000   \n",
-       "OnlineSecurity    7032.0    0.0      5550.0     0.789249     1.000   \n",
-       "OnlineBackup      7032.0    0.0      6370.0     0.905859     1.000   \n",
-       "DeviceProtection  7032.0    0.0      6356.0     0.903868     1.000   \n",
-       "TechSupport       7032.0    0.0      5600.0     0.796359     1.000   \n",
-       "StreamingTV       7032.0    0.0      6926.0     0.984926     1.000   \n",
-       "StreamingMovies   7032.0    0.0      6982.0     0.992890     1.000   \n",
-       "Contract          7032.0    0.0      4842.0     0.688567     0.000   \n",
-       "PaperlessBilling  7032.0    0.0      4168.0     0.592719     1.000   \n",
-       "PaymentMethod     7032.0    0.0     11063.0     1.573237     2.000   \n",
-       "MonthlyCharges    7032.0    0.0    455661.0    64.798208    70.350   \n",
-       "TotalCharges      7032.0    0.0  16056168.7  2283.300441  1397.475   \n",
-       "Churn             7032.0    0.0      1869.0     0.265785     0.000   \n",
-       "\n",
-       "                          STD           VAR    MIN     P1       P5  ...  \\\n",
-       "df_index          2032.832448  4.132408e+06   0.00  70.31  351.550  ...   \n",
-       "customerID        2030.107879  4.121338e+06   0.00  70.31  351.550  ...   \n",
-       "gender               0.500014  2.500135e-01   0.00   0.00    0.000  ...   \n",
-       "SeniorCitizen        0.368844  1.360459e-01   0.00   0.00    0.000  ...   \n",
-       "Partner              0.499729  2.497296e-01   0.00   0.00    0.000  ...   \n",
-       "Dependents           0.457629  2.094246e-01   0.00   0.00    0.000  ...   \n",
-       "tenure              24.545260  6.024698e+02   1.00   1.00    1.000  ...   \n",
-       "PhoneService         0.295571  8.736218e-02   0.00   0.00    0.000  ...   \n",
-       "MultipleLines        0.948627  8.998938e-01   0.00   0.00    0.000  ...   \n",
-       "InternetService      0.737271  5.435690e-01   0.00   0.00    0.000  ...   \n",
-       "OnlineSecurity       0.859962  7.395345e-01   0.00   0.00    0.000  ...   \n",
-       "OnlineBackup         0.880394  7.750930e-01   0.00   0.00    0.000  ...   \n",
-       "DeviceProtection     0.880178  7.747141e-01   0.00   0.00    0.000  ...   \n",
-       "TechSupport          0.861674  7.424814e-01   0.00   0.00    0.000  ...   \n",
-       "StreamingTV          0.885285  7.837295e-01   0.00   0.00    0.000  ...   \n",
-       "StreamingMovies      0.885385  7.839062e-01   0.00   0.00    0.000  ...   \n",
-       "Contract             0.832934  6.937791e-01   0.00   0.00    0.000  ...   \n",
-       "PaperlessBilling     0.491363  2.414375e-01   0.00   0.00    0.000  ...   \n",
-       "PaymentMethod        1.067504  1.139565e+00   0.00   0.00    0.000  ...   \n",
-       "MonthlyCharges      30.085974  9.051658e+02  18.25  19.20   19.650  ...   \n",
-       "TotalCharges      2266.771362  5.138252e+06  18.80  19.90   49.605  ...   \n",
-       "Churn                0.441782  1.951711e-01   0.00   0.00    0.000  ...   \n",
-       "\n",
-       "                        P25       P50        P75       P90        P95  \\\n",
-       "df_index          1762.7500  3521.500  5282.2500  6336.900  6689.4500   \n",
-       "customerID        1757.7500  3515.500  5273.2500  6327.900  6679.4500   \n",
-       "gender               0.0000     1.000     1.0000     1.000     1.0000   \n",
-       "SeniorCitizen        0.0000     0.000     0.0000     1.000     1.0000   \n",
-       "Partner              0.0000     0.000     1.0000     1.000     1.0000   \n",
-       "Dependents           0.0000     0.000     1.0000     1.000     1.0000   \n",
-       "tenure               9.0000    29.000    55.0000    69.000    72.0000   \n",
-       "PhoneService         1.0000     1.000     1.0000     1.000     1.0000   \n",
-       "MultipleLines        0.0000     1.000     2.0000     2.000     2.0000   \n",
-       "InternetService      0.0000     1.000     1.0000     2.000     2.0000   \n",
-       "OnlineSecurity       0.0000     1.000     2.0000     2.000     2.0000   \n",
-       "OnlineBackup         0.0000     1.000     2.0000     2.000     2.0000   \n",
-       "DeviceProtection     0.0000     1.000     2.0000     2.000     2.0000   \n",
-       "TechSupport          0.0000     1.000     2.0000     2.000     2.0000   \n",
-       "StreamingTV          0.0000     1.000     2.0000     2.000     2.0000   \n",
-       "StreamingMovies      0.0000     1.000     2.0000     2.000     2.0000   \n",
-       "Contract             0.0000     0.000     1.0000     2.000     2.0000   \n",
-       "PaperlessBilling     0.0000     1.000     1.0000     1.000     1.0000   \n",
-       "PaymentMethod        1.0000     2.000     2.0000     3.000     3.0000   \n",
-       "MonthlyCharges      35.5875    70.350    89.8625   102.645   107.4225   \n",
-       "TotalCharges       401.4500  1397.475  3794.7375  5976.640  6923.5900   \n",
-       "Churn                0.0000     0.000     1.0000     1.000     1.0000   \n",
-       "\n",
-       "                        P99      MAX           LC           UC  outlier_flag  \n",
-       "df_index          6971.6900  7042.00  -544.102752  7587.227041           0.0  \n",
-       "customerID        6960.6900  7031.00  -544.715758  7575.715758           0.0  \n",
-       "gender               1.0000     1.00    -0.495334     1.504720           0.0  \n",
-       "SeniorCitizen        1.0000     1.00    -0.575288     0.900088           0.0  \n",
-       "Partner              1.0000     1.00    -0.516950     1.481968           0.0  \n",
-       "Dependents           1.0000     1.00    -0.616766     1.213751           0.0  \n",
-       "tenure              72.0000    72.00   -16.668733    81.512306           0.0  \n",
-       "PhoneService         1.0000     1.00     0.312157     1.494441           0.0  \n",
-       "MultipleLines        2.0000     2.00    -0.956697     2.837812           0.0  \n",
-       "InternetService      2.0000     2.00    -0.601960     2.347125           0.0  \n",
-       "OnlineSecurity       2.0000     2.00    -0.930675     2.509173           0.0  \n",
-       "OnlineBackup         2.0000     2.00    -0.854928     2.666646           0.0  \n",
-       "DeviceProtection     2.0000     2.00    -0.856489     2.664225           0.0  \n",
-       "TechSupport          2.0000     2.00    -0.926988     2.519707           0.0  \n",
-       "StreamingTV          2.0000     2.00    -0.785644     2.755496           0.0  \n",
-       "StreamingMovies      2.0000     2.00    -0.777880     2.763659           0.0  \n",
-       "Contract             2.0000     2.00    -0.977301     2.354435           0.0  \n",
-       "PaperlessBilling     1.0000     1.00    -0.390007     1.575445           0.0  \n",
-       "PaymentMethod        3.0000     3.00    -0.561772     3.708245           0.0  \n",
-       "MonthlyCharges     114.7345   118.75     4.626260   124.970156           0.0  \n",
-       "TotalCharges      8039.8830  8684.80 -2250.242283  6816.843165           1.0  \n",
-       "Churn                1.0000     1.00    -0.617778     1.149348           0.0  \n",
-       "\n",
-       "[22 rows x 21 columns]"
-      ]
-     },
-     "execution_count": 18,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "data2.apply(lambda x: var_summary(x)).T"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "ac7d7dec",
-   "metadata": {},
-   "source": [
-    "# Linear Regression"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "21f26774",
-   "metadata": {},
-   "source": [
-    "\n",
-    "> Linear regression is an approach for modeling the relationship between a scalar dependent variable y and one or more explanatory variables (or independent variables) denoted X. The case of one explanatory variable is called simple linear regression. For more than one explanatory variable, the process is called multiple linear regression <br>\n",
-    "> A simple linear regression model is given by Y=mX+b <br>\n",
-    "> where m is the slope and b is the y-intercept. Y is the dependent variable and X is the explanatory variable. <br>\n",
-    "> Very briefly and simplistically, Linear Regression is a class of techniques for fitting a straight line to a set of data points.\n",
-    "Linear Regression has dependent variables that have continuous values"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "a6f253da",
-   "metadata": {},
-   "source": [
-    "A linear regression line has an equation of the form Y = a + bX, where X is the explanatory variable and Y is the dependent variable. The slope of the line is b, and a is the intercept (the value of y when x = 0)."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "7a0c5ae7",
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 19,
-   "id": "96840e52",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "X_1 = data2.drop('TotalCharges', axis = 1)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 20,
-   "id": "519b7e27",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "y_1 = data2['TotalCharges']"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 21,
-   "id": "5d6fde32",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
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-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>df_index</th>\n",
-       "      <th>customerID</th>\n",
-       "      <th>gender</th>\n",
-       "      <th>SeniorCitizen</th>\n",
-       "      <th>Partner</th>\n",
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-       "      <th>tenure</th>\n",
-       "      <th>PhoneService</th>\n",
-       "      <th>MultipleLines</th>\n",
-       "      <th>InternetService</th>\n",
-       "      <th>...</th>\n",
-       "      <th>DeviceProtection</th>\n",
-       "      <th>TechSupport</th>\n",
-       "      <th>StreamingTV</th>\n",
-       "      <th>StreamingMovies</th>\n",
-       "      <th>Contract</th>\n",
-       "      <th>PaperlessBilling</th>\n",
-       "      <th>PaymentMethod</th>\n",
-       "      <th>MonthlyCharges</th>\n",
-       "      <th>TotalCharges</th>\n",
-       "      <th>Churn</th>\n",
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-       "      <th>df_index</th>\n",
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-       "      <td>0.000162</td>\n",
-       "      <td>-0.004762</td>\n",
-       "      <td>0.006801</td>\n",
-       "      <td>-0.028257</td>\n",
-       "      <td>-0.006518</td>\n",
-       "      <td>-0.007689</td>\n",
-       "      <td>...</td>\n",
-       "      <td>-0.006353</td>\n",
-       "      <td>0.008621</td>\n",
-       "      <td>-0.000675</td>\n",
-       "      <td>-0.017201</td>\n",
-       "      <td>0.003949</td>\n",
-       "      <td>0.002143</td>\n",
-       "      <td>0.021046</td>\n",
-       "      <td>-0.012938</td>\n",
-       "      <td>0.001820</td>\n",
-       "      <td>0.010133</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>customerID</th>\n",
-       "      <td>-0.006309</td>\n",
-       "      <td>1.000000</td>\n",
-       "      <td>0.006235</td>\n",
-       "      <td>-0.002368</td>\n",
-       "      <td>-0.026509</td>\n",
-       "      <td>-0.011871</td>\n",
-       "      <td>0.007209</td>\n",
-       "      <td>-0.006987</td>\n",
-       "      <td>0.004497</td>\n",
-       "      <td>-0.012335</td>\n",
-       "      <td>...</td>\n",
-       "      <td>-0.006726</td>\n",
-       "      <td>0.001763</td>\n",
-       "      <td>-0.007650</td>\n",
-       "      <td>-0.017207</td>\n",
-       "      <td>0.015949</td>\n",
-       "      <td>-0.002225</td>\n",
-       "      <td>0.011754</td>\n",
-       "      <td>-0.004445</td>\n",
-       "      <td>-0.000263</td>\n",
-       "      <td>-0.017858</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>gender</th>\n",
-       "      <td>-0.008463</td>\n",
-       "      <td>0.006235</td>\n",
-       "      <td>1.000000</td>\n",
-       "      <td>-0.001819</td>\n",
-       "      <td>-0.001379</td>\n",
-       "      <td>0.010349</td>\n",
-       "      <td>0.005285</td>\n",
-       "      <td>-0.007515</td>\n",
-       "      <td>-0.006908</td>\n",
-       "      <td>-0.002236</td>\n",
-       "      <td>...</td>\n",
-       "      <td>0.001348</td>\n",
-       "      <td>-0.006695</td>\n",
-       "      <td>-0.005624</td>\n",
-       "      <td>-0.008920</td>\n",
-       "      <td>0.000095</td>\n",
-       "      <td>-0.011902</td>\n",
-       "      <td>0.016942</td>\n",
-       "      <td>-0.013779</td>\n",
-       "      <td>0.000048</td>\n",
-       "      <td>-0.008545</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>SeniorCitizen</th>\n",
-       "      <td>0.008057</td>\n",
-       "      <td>-0.002368</td>\n",
-       "      <td>-0.001819</td>\n",
-       "      <td>1.000000</td>\n",
-       "      <td>0.016957</td>\n",
-       "      <td>-0.210550</td>\n",
-       "      <td>0.015683</td>\n",
-       "      <td>0.008392</td>\n",
-       "      <td>0.146287</td>\n",
-       "      <td>-0.032160</td>\n",
-       "      <td>...</td>\n",
-       "      <td>-0.021124</td>\n",
-       "      <td>-0.151007</td>\n",
-       "      <td>0.031019</td>\n",
-       "      <td>0.047088</td>\n",
-       "      <td>-0.141820</td>\n",
-       "      <td>0.156258</td>\n",
-       "      <td>-0.038158</td>\n",
-       "      <td>0.219874</td>\n",
-       "      <td>0.102411</td>\n",
-       "      <td>0.150541</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>Partner</th>\n",
-       "      <td>0.000162</td>\n",
-       "      <td>-0.026509</td>\n",
-       "      <td>-0.001379</td>\n",
-       "      <td>0.016957</td>\n",
-       "      <td>1.000000</td>\n",
-       "      <td>0.452269</td>\n",
-       "      <td>0.381912</td>\n",
-       "      <td>0.018397</td>\n",
-       "      <td>0.142717</td>\n",
-       "      <td>0.000513</td>\n",
-       "      <td>...</td>\n",
-       "      <td>0.165614</td>\n",
-       "      <td>0.126488</td>\n",
-       "      <td>0.136679</td>\n",
-       "      <td>0.129907</td>\n",
-       "      <td>0.294094</td>\n",
-       "      <td>-0.013957</td>\n",
-       "      <td>-0.156232</td>\n",
-       "      <td>0.097825</td>\n",
-       "      <td>0.319072</td>\n",
-       "      <td>-0.149982</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>Dependents</th>\n",
-       "      <td>-0.004762</td>\n",
-       "      <td>-0.011871</td>\n",
-       "      <td>0.010349</td>\n",
-       "      <td>-0.210550</td>\n",
-       "      <td>0.452269</td>\n",
-       "      <td>1.000000</td>\n",
-       "      <td>0.163386</td>\n",
-       "      <td>-0.001078</td>\n",
-       "      <td>-0.024975</td>\n",
-       "      <td>0.044030</td>\n",
-       "      <td>...</td>\n",
-       "      <td>0.079723</td>\n",
-       "      <td>0.132530</td>\n",
-       "      <td>0.046214</td>\n",
-       "      <td>0.022088</td>\n",
-       "      <td>0.240556</td>\n",
-       "      <td>-0.110131</td>\n",
-       "      <td>-0.041989</td>\n",
-       "      <td>-0.112343</td>\n",
-       "      <td>0.064653</td>\n",
-       "      <td>-0.163128</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>tenure</th>\n",
-       "      <td>0.006801</td>\n",
-       "      <td>0.007209</td>\n",
-       "      <td>0.005285</td>\n",
-       "      <td>0.015683</td>\n",
-       "      <td>0.381912</td>\n",
-       "      <td>0.163386</td>\n",
-       "      <td>1.000000</td>\n",
-       "      <td>0.007877</td>\n",
-       "      <td>0.343673</td>\n",
-       "      <td>-0.029835</td>\n",
-       "      <td>...</td>\n",
-       "      <td>0.372669</td>\n",
-       "      <td>0.324729</td>\n",
-       "      <td>0.290572</td>\n",
-       "      <td>0.296785</td>\n",
-       "      <td>0.676734</td>\n",
-       "      <td>0.004823</td>\n",
-       "      <td>-0.370087</td>\n",
-       "      <td>0.246862</td>\n",
-       "      <td>0.825880</td>\n",
-       "      <td>-0.354049</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>PhoneService</th>\n",
-       "      <td>-0.028257</td>\n",
-       "      <td>-0.006987</td>\n",
-       "      <td>-0.007515</td>\n",
-       "      <td>0.008392</td>\n",
-       "      <td>0.018397</td>\n",
-       "      <td>-0.001078</td>\n",
-       "      <td>0.007877</td>\n",
-       "      <td>1.000000</td>\n",
-       "      <td>-0.020504</td>\n",
-       "      <td>0.387266</td>\n",
-       "      <td>...</td>\n",
-       "      <td>0.004718</td>\n",
-       "      <td>-0.018136</td>\n",
-       "      <td>0.056393</td>\n",
-       "      <td>0.043025</td>\n",
-       "      <td>0.003019</td>\n",
-       "      <td>0.016696</td>\n",
-       "      <td>-0.005499</td>\n",
-       "      <td>0.248033</td>\n",
-       "      <td>0.113008</td>\n",
-       "      <td>0.011691</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>MultipleLines</th>\n",
-       "      <td>-0.006518</td>\n",
-       "      <td>0.004497</td>\n",
-       "      <td>-0.006908</td>\n",
-       "      <td>0.146287</td>\n",
-       "      <td>0.142717</td>\n",
-       "      <td>-0.024975</td>\n",
-       "      <td>0.343673</td>\n",
-       "      <td>-0.020504</td>\n",
-       "      <td>1.000000</td>\n",
-       "      <td>-0.108849</td>\n",
-       "      <td>...</td>\n",
-       "      <td>0.122614</td>\n",
-       "      <td>0.010941</td>\n",
-       "      <td>0.175403</td>\n",
-       "      <td>0.181705</td>\n",
-       "      <td>0.111029</td>\n",
-       "      <td>0.165306</td>\n",
-       "      <td>-0.176598</td>\n",
-       "      <td>0.433905</td>\n",
-       "      <td>0.453202</td>\n",
-       "      <td>0.038043</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>InternetService</th>\n",
-       "      <td>-0.007689</td>\n",
-       "      <td>-0.012335</td>\n",
-       "      <td>-0.002236</td>\n",
-       "      <td>-0.032160</td>\n",
-       "      <td>0.000513</td>\n",
-       "      <td>0.044030</td>\n",
-       "      <td>-0.029835</td>\n",
-       "      <td>0.387266</td>\n",
-       "      <td>-0.108849</td>\n",
-       "      <td>1.000000</td>\n",
-       "      <td>...</td>\n",
-       "      <td>0.045558</td>\n",
-       "      <td>-0.025626</td>\n",
-       "      <td>0.108190</td>\n",
-       "      <td>0.097967</td>\n",
-       "      <td>0.099579</td>\n",
-       "      <td>-0.138166</td>\n",
-       "      <td>0.084504</td>\n",
-       "      <td>-0.322173</td>\n",
-       "      <td>-0.175691</td>\n",
-       "      <td>-0.047097</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>OnlineSecurity</th>\n",
-       "      <td>-0.001053</td>\n",
-       "      <td>0.013740</td>\n",
-       "      <td>-0.014899</td>\n",
-       "      <td>-0.127937</td>\n",
-       "      <td>0.150610</td>\n",
-       "      <td>0.151198</td>\n",
-       "      <td>0.327283</td>\n",
-       "      <td>-0.014163</td>\n",
-       "      <td>0.007306</td>\n",
-       "      <td>-0.028003</td>\n",
-       "      <td>...</td>\n",
-       "      <td>0.175789</td>\n",
-       "      <td>0.284875</td>\n",
-       "      <td>0.044399</td>\n",
-       "      <td>0.056313</td>\n",
-       "      <td>0.373980</td>\n",
-       "      <td>-0.157723</td>\n",
-       "      <td>-0.096593</td>\n",
-       "      <td>-0.053576</td>\n",
-       "      <td>0.254473</td>\n",
-       "      <td>-0.289050</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>OnlineBackup</th>\n",
-       "      <td>0.004099</td>\n",
-       "      <td>-0.002960</td>\n",
-       "      <td>-0.011920</td>\n",
-       "      <td>-0.013355</td>\n",
-       "      <td>0.153045</td>\n",
-       "      <td>0.090231</td>\n",
-       "      <td>0.372434</td>\n",
-       "      <td>0.024040</td>\n",
-       "      <td>0.117276</td>\n",
-       "      <td>0.036735</td>\n",
-       "      <td>...</td>\n",
-       "      <td>0.187646</td>\n",
-       "      <td>0.195581</td>\n",
-       "      <td>0.147085</td>\n",
-       "      <td>0.137083</td>\n",
-       "      <td>0.280617</td>\n",
-       "      <td>-0.012697</td>\n",
-       "      <td>-0.125534</td>\n",
-       "      <td>0.119943</td>\n",
-       "      <td>0.375556</td>\n",
-       "      <td>-0.195290</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>DeviceProtection</th>\n",
-       "      <td>-0.006353</td>\n",
-       "      <td>-0.006726</td>\n",
-       "      <td>0.001348</td>\n",
-       "      <td>-0.021124</td>\n",
-       "      <td>0.165614</td>\n",
-       "      <td>0.079723</td>\n",
-       "      <td>0.372669</td>\n",
-       "      <td>0.004718</td>\n",
-       "      <td>0.122614</td>\n",
-       "      <td>0.045558</td>\n",
-       "      <td>...</td>\n",
-       "      <td>1.000000</td>\n",
-       "      <td>0.240476</td>\n",
-       "      <td>0.275947</td>\n",
-       "      <td>0.289309</td>\n",
-       "      <td>0.350067</td>\n",
-       "      <td>-0.037596</td>\n",
-       "      <td>-0.136460</td>\n",
-       "      <td>0.163984</td>\n",
-       "      <td>0.389066</td>\n",
-       "      <td>-0.177883</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>TechSupport</th>\n",
-       "      <td>0.008621</td>\n",
-       "      <td>0.001763</td>\n",
-       "      <td>-0.006695</td>\n",
-       "      <td>-0.151007</td>\n",
-       "      <td>0.126488</td>\n",
-       "      <td>0.132530</td>\n",
-       "      <td>0.324729</td>\n",
-       "      <td>-0.018136</td>\n",
-       "      <td>0.010941</td>\n",
-       "      <td>-0.025626</td>\n",
-       "      <td>...</td>\n",
-       "      <td>0.240476</td>\n",
-       "      <td>1.000000</td>\n",
-       "      <td>0.161168</td>\n",
-       "      <td>0.162530</td>\n",
-       "      <td>0.425072</td>\n",
-       "      <td>-0.113617</td>\n",
-       "      <td>-0.104544</td>\n",
-       "      <td>-0.008237</td>\n",
-       "      <td>0.276890</td>\n",
-       "      <td>-0.282232</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>StreamingTV</th>\n",
-       "      <td>-0.000675</td>\n",
-       "      <td>-0.007650</td>\n",
-       "      <td>-0.005624</td>\n",
-       "      <td>0.031019</td>\n",
-       "      <td>0.136679</td>\n",
-       "      <td>0.046214</td>\n",
-       "      <td>0.290572</td>\n",
-       "      <td>0.056393</td>\n",
-       "      <td>0.175403</td>\n",
-       "      <td>0.108190</td>\n",
-       "      <td>...</td>\n",
-       "      <td>0.275947</td>\n",
-       "      <td>0.161168</td>\n",
-       "      <td>1.000000</td>\n",
-       "      <td>0.435354</td>\n",
-       "      <td>0.226826</td>\n",
-       "      <td>0.097379</td>\n",
-       "      <td>-0.104782</td>\n",
-       "      <td>0.337156</td>\n",
-       "      <td>0.392472</td>\n",
-       "      <td>-0.036303</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>StreamingMovies</th>\n",
-       "      <td>-0.017201</td>\n",
-       "      <td>-0.017207</td>\n",
-       "      <td>-0.008920</td>\n",
-       "      <td>0.047088</td>\n",
-       "      <td>0.129907</td>\n",
-       "      <td>0.022088</td>\n",
-       "      <td>0.296785</td>\n",
-       "      <td>0.043025</td>\n",
-       "      <td>0.181705</td>\n",
-       "      <td>0.097967</td>\n",
-       "      <td>...</td>\n",
-       "      <td>0.289309</td>\n",
-       "      <td>0.162530</td>\n",
-       "      <td>0.435354</td>\n",
-       "      <td>1.000000</td>\n",
-       "      <td>0.232478</td>\n",
-       "      <td>0.083901</td>\n",
-       "      <td>-0.112009</td>\n",
-       "      <td>0.335761</td>\n",
-       "      <td>0.398088</td>\n",
-       "      <td>-0.038802</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>Contract</th>\n",
-       "      <td>0.003949</td>\n",
-       "      <td>0.015949</td>\n",
-       "      <td>0.000095</td>\n",
-       "      <td>-0.141820</td>\n",
-       "      <td>0.294094</td>\n",
-       "      <td>0.240556</td>\n",
-       "      <td>0.676734</td>\n",
-       "      <td>0.003019</td>\n",
-       "      <td>0.111029</td>\n",
-       "      <td>0.099579</td>\n",
-       "      <td>...</td>\n",
-       "      <td>0.350067</td>\n",
-       "      <td>0.425072</td>\n",
-       "      <td>0.226826</td>\n",
-       "      <td>0.232478</td>\n",
-       "      <td>1.000000</td>\n",
-       "      <td>-0.175475</td>\n",
-       "      <td>-0.229636</td>\n",
-       "      <td>-0.072739</td>\n",
-       "      <td>0.450306</td>\n",
-       "      <td>-0.396150</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>PaperlessBilling</th>\n",
-       "      <td>0.002143</td>\n",
-       "      <td>-0.002225</td>\n",
-       "      <td>-0.011902</td>\n",
-       "      <td>0.156258</td>\n",
-       "      <td>-0.013957</td>\n",
-       "      <td>-0.110131</td>\n",
-       "      <td>0.004823</td>\n",
-       "      <td>0.016696</td>\n",
-       "      <td>0.165306</td>\n",
-       "      <td>-0.138166</td>\n",
-       "      <td>...</td>\n",
-       "      <td>-0.037596</td>\n",
-       "      <td>-0.113617</td>\n",
-       "      <td>0.097379</td>\n",
-       "      <td>0.083901</td>\n",
-       "      <td>-0.175475</td>\n",
-       "      <td>1.000000</td>\n",
-       "      <td>-0.061348</td>\n",
-       "      <td>0.351930</td>\n",
-       "      <td>0.157830</td>\n",
-       "      <td>0.191454</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>PaymentMethod</th>\n",
-       "      <td>0.021046</td>\n",
-       "      <td>0.011754</td>\n",
-       "      <td>0.016942</td>\n",
-       "      <td>-0.038158</td>\n",
-       "      <td>-0.156232</td>\n",
-       "      <td>-0.041989</td>\n",
-       "      <td>-0.370087</td>\n",
-       "      <td>-0.005499</td>\n",
-       "      <td>-0.176598</td>\n",
-       "      <td>0.084504</td>\n",
-       "      <td>...</td>\n",
-       "      <td>-0.136460</td>\n",
-       "      <td>-0.104544</td>\n",
-       "      <td>-0.104782</td>\n",
-       "      <td>-0.112009</td>\n",
-       "      <td>-0.229636</td>\n",
-       "      <td>-0.061348</td>\n",
-       "      <td>1.000000</td>\n",
-       "      <td>-0.192500</td>\n",
-       "      <td>-0.330594</td>\n",
-       "      <td>0.107852</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>MonthlyCharges</th>\n",
-       "      <td>-0.012938</td>\n",
-       "      <td>-0.004445</td>\n",
-       "      <td>-0.013779</td>\n",
-       "      <td>0.219874</td>\n",
-       "      <td>0.097825</td>\n",
-       "      <td>-0.112343</td>\n",
-       "      <td>0.246862</td>\n",
-       "      <td>0.248033</td>\n",
-       "      <td>0.433905</td>\n",
-       "      <td>-0.322173</td>\n",
-       "      <td>...</td>\n",
-       "      <td>0.163984</td>\n",
-       "      <td>-0.008237</td>\n",
-       "      <td>0.337156</td>\n",
-       "      <td>0.335761</td>\n",
-       "      <td>-0.072739</td>\n",
-       "      <td>0.351930</td>\n",
-       "      <td>-0.192500</td>\n",
-       "      <td>1.000000</td>\n",
-       "      <td>0.651065</td>\n",
-       "      <td>0.192858</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>TotalCharges</th>\n",
-       "      <td>0.001820</td>\n",
-       "      <td>-0.000263</td>\n",
-       "      <td>0.000048</td>\n",
-       "      <td>0.102411</td>\n",
-       "      <td>0.319072</td>\n",
-       "      <td>0.064653</td>\n",
-       "      <td>0.825880</td>\n",
-       "      <td>0.113008</td>\n",
-       "      <td>0.453202</td>\n",
-       "      <td>-0.175691</td>\n",
-       "      <td>...</td>\n",
-       "      <td>0.389066</td>\n",
-       "      <td>0.276890</td>\n",
-       "      <td>0.392472</td>\n",
-       "      <td>0.398088</td>\n",
-       "      <td>0.450306</td>\n",
-       "      <td>0.157830</td>\n",
-       "      <td>-0.330594</td>\n",
-       "      <td>0.651065</td>\n",
-       "      <td>1.000000</td>\n",
-       "      <td>-0.199484</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>Churn</th>\n",
-       "      <td>0.010133</td>\n",
-       "      <td>-0.017858</td>\n",
-       "      <td>-0.008545</td>\n",
-       "      <td>0.150541</td>\n",
-       "      <td>-0.149982</td>\n",
-       "      <td>-0.163128</td>\n",
-       "      <td>-0.354049</td>\n",
-       "      <td>0.011691</td>\n",
-       "      <td>0.038043</td>\n",
-       "      <td>-0.047097</td>\n",
-       "      <td>...</td>\n",
-       "      <td>-0.177883</td>\n",
-       "      <td>-0.282232</td>\n",
-       "      <td>-0.036303</td>\n",
-       "      <td>-0.038802</td>\n",
-       "      <td>-0.396150</td>\n",
-       "      <td>0.191454</td>\n",
-       "      <td>0.107852</td>\n",
-       "      <td>0.192858</td>\n",
-       "      <td>-0.199484</td>\n",
-       "      <td>1.000000</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "<p>22 rows × 22 columns</p>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "                  df_index  customerID    gender  SeniorCitizen   Partner  \\\n",
-       "df_index          1.000000   -0.006309 -0.008463       0.008057  0.000162   \n",
-       "customerID       -0.006309    1.000000  0.006235      -0.002368 -0.026509   \n",
-       "gender           -0.008463    0.006235  1.000000      -0.001819 -0.001379   \n",
-       "SeniorCitizen     0.008057   -0.002368 -0.001819       1.000000  0.016957   \n",
-       "Partner           0.000162   -0.026509 -0.001379       0.016957  1.000000   \n",
-       "Dependents       -0.004762   -0.011871  0.010349      -0.210550  0.452269   \n",
-       "tenure            0.006801    0.007209  0.005285       0.015683  0.381912   \n",
-       "PhoneService     -0.028257   -0.006987 -0.007515       0.008392  0.018397   \n",
-       "MultipleLines    -0.006518    0.004497 -0.006908       0.146287  0.142717   \n",
-       "InternetService  -0.007689   -0.012335 -0.002236      -0.032160  0.000513   \n",
-       "OnlineSecurity   -0.001053    0.013740 -0.014899      -0.127937  0.150610   \n",
-       "OnlineBackup      0.004099   -0.002960 -0.011920      -0.013355  0.153045   \n",
-       "DeviceProtection -0.006353   -0.006726  0.001348      -0.021124  0.165614   \n",
-       "TechSupport       0.008621    0.001763 -0.006695      -0.151007  0.126488   \n",
-       "StreamingTV      -0.000675   -0.007650 -0.005624       0.031019  0.136679   \n",
-       "StreamingMovies  -0.017201   -0.017207 -0.008920       0.047088  0.129907   \n",
-       "Contract          0.003949    0.015949  0.000095      -0.141820  0.294094   \n",
-       "PaperlessBilling  0.002143   -0.002225 -0.011902       0.156258 -0.013957   \n",
-       "PaymentMethod     0.021046    0.011754  0.016942      -0.038158 -0.156232   \n",
-       "MonthlyCharges   -0.012938   -0.004445 -0.013779       0.219874  0.097825   \n",
-       "TotalCharges      0.001820   -0.000263  0.000048       0.102411  0.319072   \n",
-       "Churn             0.010133   -0.017858 -0.008545       0.150541 -0.149982   \n",
-       "\n",
-       "                  Dependents    tenure  PhoneService  MultipleLines  \\\n",
-       "df_index           -0.004762  0.006801     -0.028257      -0.006518   \n",
-       "customerID         -0.011871  0.007209     -0.006987       0.004497   \n",
-       "gender              0.010349  0.005285     -0.007515      -0.006908   \n",
-       "SeniorCitizen      -0.210550  0.015683      0.008392       0.146287   \n",
-       "Partner             0.452269  0.381912      0.018397       0.142717   \n",
-       "Dependents          1.000000  0.163386     -0.001078      -0.024975   \n",
-       "tenure              0.163386  1.000000      0.007877       0.343673   \n",
-       "PhoneService       -0.001078  0.007877      1.000000      -0.020504   \n",
-       "MultipleLines      -0.024975  0.343673     -0.020504       1.000000   \n",
-       "InternetService     0.044030 -0.029835      0.387266      -0.108849   \n",
-       "OnlineSecurity      0.151198  0.327283     -0.014163       0.007306   \n",
-       "OnlineBackup        0.090231  0.372434      0.024040       0.117276   \n",
-       "DeviceProtection    0.079723  0.372669      0.004718       0.122614   \n",
-       "TechSupport         0.132530  0.324729     -0.018136       0.010941   \n",
-       "StreamingTV         0.046214  0.290572      0.056393       0.175403   \n",
-       "StreamingMovies     0.022088  0.296785      0.043025       0.181705   \n",
-       "Contract            0.240556  0.676734      0.003019       0.111029   \n",
-       "PaperlessBilling   -0.110131  0.004823      0.016696       0.165306   \n",
-       "PaymentMethod      -0.041989 -0.370087     -0.005499      -0.176598   \n",
-       "MonthlyCharges     -0.112343  0.246862      0.248033       0.433905   \n",
-       "TotalCharges        0.064653  0.825880      0.113008       0.453202   \n",
-       "Churn              -0.163128 -0.354049      0.011691       0.038043   \n",
-       "\n",
-       "                  InternetService  ...  DeviceProtection  TechSupport  \\\n",
-       "df_index                -0.007689  ...         -0.006353     0.008621   \n",
-       "customerID              -0.012335  ...         -0.006726     0.001763   \n",
-       "gender                  -0.002236  ...          0.001348    -0.006695   \n",
-       "SeniorCitizen           -0.032160  ...         -0.021124    -0.151007   \n",
-       "Partner                  0.000513  ...          0.165614     0.126488   \n",
-       "Dependents               0.044030  ...          0.079723     0.132530   \n",
-       "tenure                  -0.029835  ...          0.372669     0.324729   \n",
-       "PhoneService             0.387266  ...          0.004718    -0.018136   \n",
-       "MultipleLines           -0.108849  ...          0.122614     0.010941   \n",
-       "InternetService          1.000000  ...          0.045558    -0.025626   \n",
-       "OnlineSecurity          -0.028003  ...          0.175789     0.284875   \n",
-       "OnlineBackup             0.036735  ...          0.187646     0.195581   \n",
-       "DeviceProtection         0.045558  ...          1.000000     0.240476   \n",
-       "TechSupport             -0.025626  ...          0.240476     1.000000   \n",
-       "StreamingTV              0.108190  ...          0.275947     0.161168   \n",
-       "StreamingMovies          0.097967  ...          0.289309     0.162530   \n",
-       "Contract                 0.099579  ...          0.350067     0.425072   \n",
-       "PaperlessBilling        -0.138166  ...         -0.037596    -0.113617   \n",
-       "PaymentMethod            0.084504  ...         -0.136460    -0.104544   \n",
-       "MonthlyCharges          -0.322173  ...          0.163984    -0.008237   \n",
-       "TotalCharges            -0.175691  ...          0.389066     0.276890   \n",
-       "Churn                   -0.047097  ...         -0.177883    -0.282232   \n",
-       "\n",
-       "                  StreamingTV  StreamingMovies  Contract  PaperlessBilling  \\\n",
-       "df_index            -0.000675        -0.017201  0.003949          0.002143   \n",
-       "customerID          -0.007650        -0.017207  0.015949         -0.002225   \n",
-       "gender              -0.005624        -0.008920  0.000095         -0.011902   \n",
-       "SeniorCitizen        0.031019         0.047088 -0.141820          0.156258   \n",
-       "Partner              0.136679         0.129907  0.294094         -0.013957   \n",
-       "Dependents           0.046214         0.022088  0.240556         -0.110131   \n",
-       "tenure               0.290572         0.296785  0.676734          0.004823   \n",
-       "PhoneService         0.056393         0.043025  0.003019          0.016696   \n",
-       "MultipleLines        0.175403         0.181705  0.111029          0.165306   \n",
-       "InternetService      0.108190         0.097967  0.099579         -0.138166   \n",
-       "OnlineSecurity       0.044399         0.056313  0.373980         -0.157723   \n",
-       "OnlineBackup         0.147085         0.137083  0.280617         -0.012697   \n",
-       "DeviceProtection     0.275947         0.289309  0.350067         -0.037596   \n",
-       "TechSupport          0.161168         0.162530  0.425072         -0.113617   \n",
-       "StreamingTV          1.000000         0.435354  0.226826          0.097379   \n",
-       "StreamingMovies      0.435354         1.000000  0.232478          0.083901   \n",
-       "Contract             0.226826         0.232478  1.000000         -0.175475   \n",
-       "PaperlessBilling     0.097379         0.083901 -0.175475          1.000000   \n",
-       "PaymentMethod       -0.104782        -0.112009 -0.229636         -0.061348   \n",
-       "MonthlyCharges       0.337156         0.335761 -0.072739          0.351930   \n",
-       "TotalCharges         0.392472         0.398088  0.450306          0.157830   \n",
-       "Churn               -0.036303        -0.038802 -0.396150          0.191454   \n",
-       "\n",
-       "                  PaymentMethod  MonthlyCharges  TotalCharges     Churn  \n",
-       "df_index               0.021046       -0.012938      0.001820  0.010133  \n",
-       "customerID             0.011754       -0.004445     -0.000263 -0.017858  \n",
-       "gender                 0.016942       -0.013779      0.000048 -0.008545  \n",
-       "SeniorCitizen         -0.038158        0.219874      0.102411  0.150541  \n",
-       "Partner               -0.156232        0.097825      0.319072 -0.149982  \n",
-       "Dependents            -0.041989       -0.112343      0.064653 -0.163128  \n",
-       "tenure                -0.370087        0.246862      0.825880 -0.354049  \n",
-       "PhoneService          -0.005499        0.248033      0.113008  0.011691  \n",
-       "MultipleLines         -0.176598        0.433905      0.453202  0.038043  \n",
-       "InternetService        0.084504       -0.322173     -0.175691 -0.047097  \n",
-       "OnlineSecurity        -0.096593       -0.053576      0.254473 -0.289050  \n",
-       "OnlineBackup          -0.125534        0.119943      0.375556 -0.195290  \n",
-       "DeviceProtection      -0.136460        0.163984      0.389066 -0.177883  \n",
-       "TechSupport           -0.104544       -0.008237      0.276890 -0.282232  \n",
-       "StreamingTV           -0.104782        0.337156      0.392472 -0.036303  \n",
-       "StreamingMovies       -0.112009        0.335761      0.398088 -0.038802  \n",
-       "Contract              -0.229636       -0.072739      0.450306 -0.396150  \n",
-       "PaperlessBilling      -0.061348        0.351930      0.157830  0.191454  \n",
-       "PaymentMethod          1.000000       -0.192500     -0.330594  0.107852  \n",
-       "MonthlyCharges        -0.192500        1.000000      0.651065  0.192858  \n",
-       "TotalCharges          -0.330594        0.651065      1.000000 -0.199484  \n",
-       "Churn                  0.107852        0.192858     -0.199484  1.000000  \n",
-       "\n",
-       "[22 rows x 22 columns]"
-      ]
-     },
-     "execution_count": 21,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "data2.corr()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 22,
-   "id": "0cc6ad35",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# improting library for splitting the data for training and testing\n",
-    "from sklearn.model_selection import train_test_split\n",
-    "X_train_1, X_test_1, y_train_1, y_test_1 = train_test_split(X_1, y_1, test_size = 0.25, random_state = 1111)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 23,
-   "id": "5605adb1",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "(5274, 21)\n",
-      "(1758, 21)\n",
-      "(5274,)\n",
-      "(1758,)\n"
-     ]
-    }
-   ],
-   "source": [
-    "#checking the shape of training and testing data\n",
-    "print(X_train_1.shape)\n",
-    "print(X_test_1.shape)\n",
-    "print(y_train_1.shape)\n",
-    "print(y_test_1.shape)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 24,
-   "id": "bdd8c777",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# * Feature Scaling | Scaling the variables | standardizign the variable | Z - score | Mean = 0 and STD = 1\n",
-    "# To get all the variables on same scale [towards ZERO]\n",
-    "from sklearn.preprocessing import StandardScaler\n",
-    "sc = StandardScaler()\n",
-    "\n",
-    "\n",
-    "\n",
-    "#The fit method is calculating the mean and variance of each of the features present in our train data.\n",
-    "#The transform method is transforming all the features using the respective mean and variance. \n",
-    "\n",
-    "X_train_1 = sc.fit_transform(X_train_1)# you are finding the MEan and STD{with the fit()\n",
-    "#                                    }on training data and aslo transforming that\n",
-    "\n",
-    "X_test_1= sc.transform(X_test_1)  # Only tranforming now\n",
-    "\n",
-    "\n",
-    "#transform method we can use the same mean and variance as it is calculated from our training data to transform our test data."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 25,
-   "id": "76616edb",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "LinearRegression()"
-      ]
-     },
-     "execution_count": 25,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "from sklearn.linear_model import LinearRegression\n",
-    "lm = LinearRegression()  \n",
-    "lm.fit(X_train_1, y_train_1)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 26,
-   "id": "3aca06f9",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "2277.7827645051198\n"
-     ]
-    }
-   ],
-   "source": [
-    "print(lm.intercept_)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 27,
-   "id": "6ffbfadc",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Coefficients [ 1.67435056e+00 -1.21592576e+00  9.36384978e+00  7.47791487e-01\n",
-      "  8.75532709e+00 -1.64395198e+01  1.49795207e+03 -1.32435809e+01\n",
-      "  3.52073262e+01 -1.32013722e+01  9.14191335e+01  1.14980710e+02\n",
-      "  8.41858741e+01  8.09522416e+01  4.15371148e+01  4.78567718e+01\n",
-      " -8.67741524e+01 -8.33581430e+00  5.43558008e+01  1.04663509e+03\n",
-      " -8.03192908e+01]\n"
-     ]
-    }
-   ],
-   "source": [
-    "# The coefficients\n",
-    "print('Coefficients', lm.coef_)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 28,
-   "id": "0e5f32ff",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "#Testing\n",
-    "y_pred = lm.predict(X_test_1)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 29,
-   "id": "feb5edc3",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "y_pred = pd.DataFrame(y_pred, columns=['Predicted'])"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 30,
-   "id": "b0bd8cad",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
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-       "\n",
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-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>Predicted</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>3305.856021</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>-1200.141076</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>2628.853682</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>3062.706854</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>2994.841653</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>...</th>\n",
-       "      <td>...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1753</th>\n",
-       "      <td>2052.786703</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1754</th>\n",
-       "      <td>5089.259245</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1755</th>\n",
-       "      <td>1658.150121</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1756</th>\n",
-       "      <td>3140.118481</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1757</th>\n",
-       "      <td>3199.745140</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "<p>1758 rows × 1 columns</p>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "        Predicted\n",
-       "0     3305.856021\n",
-       "1    -1200.141076\n",
-       "2     2628.853682\n",
-       "3     3062.706854\n",
-       "4     2994.841653\n",
-       "...           ...\n",
-       "1753  2052.786703\n",
-       "1754  5089.259245\n",
-       "1755  1658.150121\n",
-       "1756  3140.118481\n",
-       "1757  3199.745140\n",
-       "\n",
-       "[1758 rows x 1 columns]"
-      ]
-     },
-     "execution_count": 30,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "y_pred"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 31,
-   "id": "6403ce1b",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "3906    1874.30\n",
-       "5978      20.35\n",
-       "5738    2333.05\n",
-       "5743    1796.55\n",
-       "5271    2531.40\n",
-       "         ...   \n",
-       "1826    1381.80\n",
-       "2785    5551.15\n",
-       "1766    1201.15\n",
-       "5872    2727.30\n",
-       "1382    1643.25\n",
-       "Name: TotalCharges, Length: 1758, dtype: float64"
-      ]
-     },
-     "execution_count": 31,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "y_test_1"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "2431f6e6",
-   "metadata": {},
-   "source": [
-    "### Calculating mean square error ... RMSE\n",
-    "> RMSE calculate the difference between the actual value and predicted value of the response(dependant) variable <br>\n",
-    "> The square root of the mean/average of the square of all of the error. <br> \n",
-    "> Compared to the similar Mean Absolute Error, RMSE amplifies and severely punishes large errors. <br>\n",
-    "> The lesser the RMSE value, the better is the model."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 32,
-   "id": "1fee6c37",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Mean Absolute Error: 555.1405460192393\n",
-      "Mean Squared Error: 478817.97456224787\n",
-      "Root Mean Squared Error: 691.9667438267882\n"
-     ]
-    }
-   ],
-   "source": [
-    "from sklearn import metrics \n",
-    "import numpy as np\n",
-    "\n",
-    "#Absolute Error is the amount of error in your measurements.\n",
-    "print('Mean Absolute Error:', metrics.mean_absolute_error(y_test_1, y_pred))  \n",
-    "print('Mean Squared Error:', metrics.mean_squared_error(y_test_1, y_pred))  \n",
-    "print('Root Mean Squared Error:', np.sqrt(metrics.mean_squared_error(y_test_1, y_pred)))"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "bf2dfe8d",
-   "metadata": {},
-   "source": [
-    "### Evaluating Model Accuracy\n",
-    "> R-squared is a statistical measure of how close the data are to the fitted regression line. <br>\n",
-    "> R-square signifies percentage of variations in the reponse variable that can be explained by the model. <br>\n",
-    "> R-squared = Explained variation / Total variation <br>\n",
-    "> Total variation is variation of response variable around it's mean. <br>\n",
-    "> R-squared value varies between 0 and 100%. 0% signifies that the model explains none of the variability, <br>\n",
-    "> while 100% signifies that the model explains all the variability of the response. <br>\n",
-    "> The closer the r-square to 100%, the better is the model. <br>"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 33,
-   "id": "c87d1815",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "#finding R-squared value\n",
-    "from sklearn.metrics import r2_score\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 34,
-   "id": "33f16e28",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "0.9067679081449613\n"
-     ]
-    }
-   ],
-   "source": [
-    "print(r2_score(y_test_1, y_pred))"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "68e0476f",
-   "metadata": {},
-   "source": [
-    "# Logistic Regression\n"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "5ea47ebf",
-   "metadata": {},
-   "source": [
-    "Logistic Regression is used when the dependent variable(target) is categorical. logistic regression is a predictive analysis.\n",
-    "Logistic regression is used to describe data and to explain the relationship between one dependent binary variable and one or more independent variables."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 35,
-   "id": "e2cad95c",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "#dividing independent and dependent variables\n",
-    "X = data2.iloc[:,:21]\n",
-    "y = data2.iloc[:,21:]"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 36,
-   "id": "ed78c027",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
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-       "\n",
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-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>df_index</th>\n",
-       "      <th>customerID</th>\n",
-       "      <th>gender</th>\n",
-       "      <th>SeniorCitizen</th>\n",
-       "      <th>Partner</th>\n",
-       "      <th>Dependents</th>\n",
-       "      <th>tenure</th>\n",
-       "      <th>PhoneService</th>\n",
-       "      <th>MultipleLines</th>\n",
-       "      <th>InternetService</th>\n",
-       "      <th>...</th>\n",
-       "      <th>OnlineBackup</th>\n",
-       "      <th>DeviceProtection</th>\n",
-       "      <th>TechSupport</th>\n",
-       "      <th>StreamingTV</th>\n",
-       "      <th>StreamingMovies</th>\n",
-       "      <th>Contract</th>\n",
-       "      <th>PaperlessBilling</th>\n",
-       "      <th>PaymentMethod</th>\n",
-       "      <th>MonthlyCharges</th>\n",
-       "      <th>TotalCharges</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>0</td>\n",
-       "      <td>5365</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "      <td>...</td>\n",
-       "      <td>2</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>1</td>\n",
-       "      <td>2</td>\n",
-       "      <td>29.85</td>\n",
-       "      <td>29.85</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>1</td>\n",
-       "      <td>3953</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>34</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>...</td>\n",
-       "      <td>0</td>\n",
-       "      <td>2</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "      <td>3</td>\n",
-       "      <td>56.95</td>\n",
-       "      <td>1889.50</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>2</td>\n",
-       "      <td>2558</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>2</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>...</td>\n",
-       "      <td>2</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>1</td>\n",
-       "      <td>3</td>\n",
-       "      <td>53.85</td>\n",
-       "      <td>108.15</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>3</td>\n",
-       "      <td>5524</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>45</td>\n",
-       "      <td>0</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "      <td>...</td>\n",
-       "      <td>0</td>\n",
-       "      <td>2</td>\n",
-       "      <td>2</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>42.30</td>\n",
-       "      <td>1840.75</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>4</td>\n",
-       "      <td>6500</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>2</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "      <td>1</td>\n",
-       "      <td>...</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>1</td>\n",
-       "      <td>2</td>\n",
-       "      <td>70.70</td>\n",
-       "      <td>151.65</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "<p>5 rows × 21 columns</p>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "   df_index  customerID  gender  SeniorCitizen  Partner  Dependents  tenure  \\\n",
-       "0         0        5365       0              0        1           0       1   \n",
-       "1         1        3953       1              0        0           0      34   \n",
-       "2         2        2558       1              0        0           0       2   \n",
-       "3         3        5524       1              0        0           0      45   \n",
-       "4         4        6500       0              0        0           0       2   \n",
-       "\n",
-       "   PhoneService  MultipleLines  InternetService  ...  OnlineBackup  \\\n",
-       "0             0              1                0  ...             2   \n",
-       "1             1              0                0  ...             0   \n",
-       "2             1              0                0  ...             2   \n",
-       "3             0              1                0  ...             0   \n",
-       "4             1              0                1  ...             0   \n",
-       "\n",
-       "   DeviceProtection  TechSupport  StreamingTV  StreamingMovies  Contract  \\\n",
-       "0                 0            0            0                0         0   \n",
-       "1                 2            0            0                0         1   \n",
-       "2                 0            0            0                0         0   \n",
-       "3                 2            2            0                0         1   \n",
-       "4                 0            0            0                0         0   \n",
-       "\n",
-       "   PaperlessBilling  PaymentMethod  MonthlyCharges  TotalCharges  \n",
-       "0                 1              2           29.85         29.85  \n",
-       "1                 0              3           56.95       1889.50  \n",
-       "2                 1              3           53.85        108.15  \n",
-       "3                 0              0           42.30       1840.75  \n",
-       "4                 1              2           70.70        151.65  \n",
-       "\n",
-       "[5 rows x 21 columns]"
-      ]
-     },
-     "execution_count": 36,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "X.head()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 37,
-   "id": "a65e377e",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
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-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>Churn</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>1</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>1</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "   Churn\n",
-       "0      0\n",
-       "1      0\n",
-       "2      1\n",
-       "3      0\n",
-       "4      1"
-      ]
-     },
-     "execution_count": 37,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "y.head()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 38,
-   "id": "233ff9e9",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# improting library for splitting the data for training and testing\n",
-    "from sklearn.model_selection import train_test_split\n",
-    "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size = 0.25, random_state = 1111)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 39,
-   "id": "a850482e",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "#importing lib for data to be align in standard scaling manner\n",
-    "from sklearn.preprocessing import StandardScaler\n",
-    "sc = StandardScaler()\n",
-    "\n",
-    "X_train = sc.fit_transform(X_train)\n",
-    "X_test = sc.transform(X_test)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 40,
-   "id": "806e70da",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "#importing library for logistic regression\n",
-    "from sklearn.linear_model import LogisticRegression "
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 41,
-   "id": "e95406b8",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Lenovo\\anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
-      "  return f(*args, **kwargs)\n"
-     ]
-    },
-    {
-     "data": {
-      "text/plain": [
-       "LogisticRegression()"
-      ]
-     },
-     "execution_count": 41,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "#Creating intsnce of logistic regression and then fitting the data\n",
-    "logistic_reg= LogisticRegression()\n",
-    "logistic_reg.fit(X_train,y_train)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 42,
-   "id": "c58ac14e",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "#predicting the test data.....\n",
-    "y_pred=logistic_reg.predict(X_test)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 43,
-   "id": "271ab74f",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "array([0, 0, 0, ..., 1, 0, 0])"
-      ]
-     },
-     "execution_count": 43,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "y_pred"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 44,
-   "id": "7ae64f67",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "#predcition on train data\n",
-    "y_pred_train = logistic_reg.predict(X_train)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "afb9a422",
-   "metadata": {},
-   "source": [
-    "# Confusion matrix\n",
-    "A Confusion matrix is an N x N matrix used for evaluating the performance of a classification model, where N is the number of target classes. The matrix compares the actual target values with those predicted by the machine learning model. This gives us a holistic view of how well our classification model is performing and what kinds of errors it is making."
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "ffc7557b",
-   "metadata": {},
-   "source": [
-    "Sklearn has two great functions: confusion_matrix() and classification_report().\n",
-    "\n",
-    "Sklearn confusion_matrix() returns the values of the Confusion matrix.\n",
-    "The output is, however, slightly different from what we have studied so far.\n",
-    "It takes the rows as Actual values and the columns as Predicted values. \n",
-    "The rest of the concept remains the same.\n",
-    "Sklearn classification_report() outputs precision, recall and f1-score for each target class. \n",
-    "In addition to this, it also has some extra values: micro avg, macro avg, and weighted avg"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 45,
-   "id": "f95277b8",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "array([[1165,  138],\n",
-       "       [ 206,  249]], dtype=int64)"
-      ]
-     },
-     "execution_count": 45,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "#importing library for confusion matrix\n",
-    "from sklearn import metrics\n",
-    "cnf_matrix = metrics.confusion_matrix(y_test, y_pred)\n",
-    "cnf_matrix"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 46,
-   "id": "aca39196",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Accuracy:  0.8043230944254836\n"
-     ]
-    }
-   ],
-   "source": [
-    "#finding accuracy of model\n",
-    "log_acc = metrics.accuracy_score(y_test, y_pred)\n",
-    "print('Accuracy: ',log_acc)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 47,
-   "id": "734ff962",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "<AxesSubplot:>"
-      ]
-     },
-     "execution_count": 47,
-     "metadata": {},
-     "output_type": "execute_result"
-    },
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 432x288 with 2 Axes>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "sns.heatmap(cnf_matrix, annot=True)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 48,
-   "id": "4831e0e1",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "              precision    recall  f1-score   support\n",
-      "\n",
-      "           0       0.85      0.89      0.87      1303\n",
-      "           1       0.64      0.55      0.59       455\n",
-      "\n",
-      "    accuracy                           0.80      1758\n",
-      "   macro avg       0.75      0.72      0.73      1758\n",
-      "weighted avg       0.80      0.80      0.80      1758\n",
-      "\n"
-     ]
-    }
-   ],
-   "source": [
-    "#importing library for classification_report and finding report\n",
-    "from sklearn.metrics import classification_report\n",
-    "print(classification_report(y_test,y_pred))"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "8f60be40",
-   "metadata": {},
-   "source": [
-    "# Desicion Tree"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "2b6101db",
-   "metadata": {},
-   "source": [
-    "A decision tree is a tree-like graph with nodes representing the place where we pick an attribute and ask a question; edges represent the answers the to the question; and the leaves represent the actual output or class label. They are used in non-linear decision making with simple linear decision surface."
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "adac44fc",
-   "metadata": {},
-   "source": [
-    "**Advantages of decision trees:**\n",
-    "\n",
-    "- Can be used for regression or classification\n",
-    "- Can be displayed graphically\n",
-    "- Highly interpretable\n",
-    "- Can be specified as a series of rules, and more closely approximate human decision-making than other models\n",
-    "- Prediction is fast\n",
-    "- Features don't need scaling\n",
-    "- Automatically learns feature interactions\n",
-    "- Tends to ignore irrelevant features\n",
-    "- Non-parametric (will outperform linear models if relationship between features and response is highly non-linear)\n",
-    "- Robust to the outliers\n",
-    "- Impact of Missing values is Minimal"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 49,
-   "id": "4aa06922",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Decision Tree Classification\n",
-    "\n",
-    "# Importing the libraries\n",
-    "import numpy as np\n",
-    "import matplotlib.pyplot as plt\n",
-    "import pandas as pd"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 50,
-   "id": "a4136018",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Spliting the overall data into X and Y [this is what required in ML]\n",
-    "\n",
-    "X = data2.iloc[:, :21]\n",
-    "\n",
-    "y = data2.iloc[:, 21:]"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 51,
-   "id": "c2b22324",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>df_index</th>\n",
-       "      <th>customerID</th>\n",
-       "      <th>gender</th>\n",
-       "      <th>SeniorCitizen</th>\n",
-       "      <th>Partner</th>\n",
-       "      <th>Dependents</th>\n",
-       "      <th>tenure</th>\n",
-       "      <th>PhoneService</th>\n",
-       "      <th>MultipleLines</th>\n",
-       "      <th>InternetService</th>\n",
-       "      <th>...</th>\n",
-       "      <th>OnlineBackup</th>\n",
-       "      <th>DeviceProtection</th>\n",
-       "      <th>TechSupport</th>\n",
-       "      <th>StreamingTV</th>\n",
-       "      <th>StreamingMovies</th>\n",
-       "      <th>Contract</th>\n",
-       "      <th>PaperlessBilling</th>\n",
-       "      <th>PaymentMethod</th>\n",
-       "      <th>MonthlyCharges</th>\n",
-       "      <th>TotalCharges</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>0</td>\n",
-       "      <td>5365</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "      <td>...</td>\n",
-       "      <td>2</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>1</td>\n",
-       "      <td>2</td>\n",
-       "      <td>29.85</td>\n",
-       "      <td>29.85</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>1</td>\n",
-       "      <td>3953</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>34</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>...</td>\n",
-       "      <td>0</td>\n",
-       "      <td>2</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "      <td>3</td>\n",
-       "      <td>56.95</td>\n",
-       "      <td>1889.50</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>2</td>\n",
-       "      <td>2558</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>2</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>...</td>\n",
-       "      <td>2</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>1</td>\n",
-       "      <td>3</td>\n",
-       "      <td>53.85</td>\n",
-       "      <td>108.15</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>3</td>\n",
-       "      <td>5524</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>45</td>\n",
-       "      <td>0</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "      <td>...</td>\n",
-       "      <td>0</td>\n",
-       "      <td>2</td>\n",
-       "      <td>2</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>42.30</td>\n",
-       "      <td>1840.75</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>4</td>\n",
-       "      <td>6500</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>2</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "      <td>1</td>\n",
-       "      <td>...</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>1</td>\n",
-       "      <td>2</td>\n",
-       "      <td>70.70</td>\n",
-       "      <td>151.65</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>...</th>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>7027</th>\n",
-       "      <td>7038</td>\n",
-       "      <td>4843</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "      <td>1</td>\n",
-       "      <td>1</td>\n",
-       "      <td>24</td>\n",
-       "      <td>1</td>\n",
-       "      <td>2</td>\n",
-       "      <td>0</td>\n",
-       "      <td>...</td>\n",
-       "      <td>0</td>\n",
-       "      <td>2</td>\n",
-       "      <td>2</td>\n",
-       "      <td>2</td>\n",
-       "      <td>2</td>\n",
-       "      <td>1</td>\n",
-       "      <td>1</td>\n",
-       "      <td>3</td>\n",
-       "      <td>84.80</td>\n",
-       "      <td>1990.50</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>7028</th>\n",
-       "      <td>7039</td>\n",
-       "      <td>1524</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>1</td>\n",
-       "      <td>1</td>\n",
-       "      <td>72</td>\n",
-       "      <td>1</td>\n",
-       "      <td>2</td>\n",
-       "      <td>1</td>\n",
-       "      <td>...</td>\n",
-       "      <td>2</td>\n",
-       "      <td>2</td>\n",
-       "      <td>0</td>\n",
-       "      <td>2</td>\n",
-       "      <td>2</td>\n",
-       "      <td>1</td>\n",
-       "      <td>1</td>\n",
-       "      <td>1</td>\n",
-       "      <td>103.20</td>\n",
-       "      <td>7362.90</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>7029</th>\n",
-       "      <td>7040</td>\n",
-       "      <td>3358</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>1</td>\n",
-       "      <td>1</td>\n",
-       "      <td>11</td>\n",
-       "      <td>0</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "      <td>...</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>1</td>\n",
-       "      <td>2</td>\n",
-       "      <td>29.60</td>\n",
-       "      <td>346.45</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>7030</th>\n",
-       "      <td>7041</td>\n",
-       "      <td>5923</td>\n",
-       "      <td>1</td>\n",
-       "      <td>1</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "      <td>4</td>\n",
-       "      <td>1</td>\n",
-       "      <td>2</td>\n",
-       "      <td>1</td>\n",
-       "      <td>...</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>1</td>\n",
-       "      <td>3</td>\n",
-       "      <td>74.40</td>\n",
-       "      <td>306.60</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>7031</th>\n",
-       "      <td>7042</td>\n",
-       "      <td>2221</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>66</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "      <td>1</td>\n",
-       "      <td>...</td>\n",
-       "      <td>0</td>\n",
-       "      <td>2</td>\n",
-       "      <td>2</td>\n",
-       "      <td>2</td>\n",
-       "      <td>2</td>\n",
-       "      <td>2</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "      <td>105.65</td>\n",
-       "      <td>6844.50</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "<p>7032 rows × 21 columns</p>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "      df_index  customerID  gender  SeniorCitizen  Partner  Dependents  \\\n",
-       "0            0        5365       0              0        1           0   \n",
-       "1            1        3953       1              0        0           0   \n",
-       "2            2        2558       1              0        0           0   \n",
-       "3            3        5524       1              0        0           0   \n",
-       "4            4        6500       0              0        0           0   \n",
-       "...        ...         ...     ...            ...      ...         ...   \n",
-       "7027      7038        4843       1              0        1           1   \n",
-       "7028      7039        1524       0              0        1           1   \n",
-       "7029      7040        3358       0              0        1           1   \n",
-       "7030      7041        5923       1              1        1           0   \n",
-       "7031      7042        2221       1              0        0           0   \n",
-       "\n",
-       "      tenure  PhoneService  MultipleLines  InternetService  ...  OnlineBackup  \\\n",
-       "0          1             0              1                0  ...             2   \n",
-       "1         34             1              0                0  ...             0   \n",
-       "2          2             1              0                0  ...             2   \n",
-       "3         45             0              1                0  ...             0   \n",
-       "4          2             1              0                1  ...             0   \n",
-       "...      ...           ...            ...              ...  ...           ...   \n",
-       "7027      24             1              2                0  ...             0   \n",
-       "7028      72             1              2                1  ...             2   \n",
-       "7029      11             0              1                0  ...             0   \n",
-       "7030       4             1              2                1  ...             0   \n",
-       "7031      66             1              0                1  ...             0   \n",
-       "\n",
-       "      DeviceProtection  TechSupport  StreamingTV  StreamingMovies  Contract  \\\n",
-       "0                    0            0            0                0         0   \n",
-       "1                    2            0            0                0         1   \n",
-       "2                    0            0            0                0         0   \n",
-       "3                    2            2            0                0         1   \n",
-       "4                    0            0            0                0         0   \n",
-       "...                ...          ...          ...              ...       ...   \n",
-       "7027                 2            2            2                2         1   \n",
-       "7028                 2            0            2                2         1   \n",
-       "7029                 0            0            0                0         0   \n",
-       "7030                 0            0            0                0         0   \n",
-       "7031                 2            2            2                2         2   \n",
-       "\n",
-       "      PaperlessBilling  PaymentMethod  MonthlyCharges  TotalCharges  \n",
-       "0                    1              2           29.85         29.85  \n",
-       "1                    0              3           56.95       1889.50  \n",
-       "2                    1              3           53.85        108.15  \n",
-       "3                    0              0           42.30       1840.75  \n",
-       "4                    1              2           70.70        151.65  \n",
-       "...                ...            ...             ...           ...  \n",
-       "7027                 1              3           84.80       1990.50  \n",
-       "7028                 1              1          103.20       7362.90  \n",
-       "7029                 1              2           29.60        346.45  \n",
-       "7030                 1              3           74.40        306.60  \n",
-       "7031                 1              0          105.65       6844.50  \n",
-       "\n",
-       "[7032 rows x 21 columns]"
-      ]
-     },
-     "execution_count": 51,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "X"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 52,
-   "id": "b75e77b9",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
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-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>Churn</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>0</td>\n",
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-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>1</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>1</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>...</th>\n",
-       "      <td>...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>7027</th>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>7028</th>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>7029</th>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>7030</th>\n",
-       "      <td>1</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>7031</th>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "<p>7032 rows × 1 columns</p>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "      Churn\n",
-       "0         0\n",
-       "1         0\n",
-       "2         1\n",
-       "3         0\n",
-       "4         1\n",
-       "...     ...\n",
-       "7027      0\n",
-       "7028      0\n",
-       "7029      0\n",
-       "7030      1\n",
-       "7031      0\n",
-       "\n",
-       "[7032 rows x 1 columns]"
-      ]
-     },
-     "execution_count": 52,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "y"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 53,
-   "id": "801d9d1f",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Splitting the dataset into the Training set and Test set\n",
-    "from sklearn.model_selection import train_test_split\n",
-    "\n",
-    "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size = 0.25, random_state = 1111)\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 54,
-   "id": "335e2530",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "from sklearn.tree import DecisionTreeClassifier\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 55,
-   "id": "94c8f8ba",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "DecisionTreeClassifier(max_depth=2, min_samples_leaf=10, min_samples_split=20,\n",
-       "                       random_state=0)"
-      ]
-     },
-     "execution_count": 55,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "#importing library for Descision Tree and we have two criterion for DT 'gini' and 'Entropy'\n",
-    "# you can use gini when there is binary classification otherwise use entropy\n",
-    "\n",
-    "from sklearn.tree import DecisionTreeClassifier\n",
-    "\n",
-    "#max_depth -  the maximum height upto which the trees inside the forest can grow(to avoid overfitting)\n",
-    "#min_samples_split- minimum amount of samples an internal node must hold in order to split into further nodes(default value -2.)\n",
-    "#min_samples_leaf -  minimum amount of samples that a node must hold after getting split(default value -1.)\n",
-    "\n",
-    "#making instance of DT\n",
-    "classifier = DecisionTreeClassifier(criterion = 'gini', random_state = 0,\n",
-    "                                    max_depth = 2, min_samples_leaf = 10, min_samples_split = 20\n",
-    "                                   )\n",
-    "#fitting the training data\n",
-    "classifier.fit(X_train, y_train)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 56,
-   "id": "6189a89b",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "#prediction using 'testing' data\n",
-    "y_pred = classifier.predict(X_test)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 57,
-   "id": "9af2cc14",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "array([0, 0, 0, ..., 1, 0, 0])"
-      ]
-     },
-     "execution_count": 57,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "y_pred"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 58,
-   "id": "419ee81f",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "0.7468714448236633"
-      ]
-     },
-     "execution_count": 58,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "#checking score via importing library\n",
-    "from sklearn.metrics import accuracy_score\n",
-    "DT_acc = accuracy_score(y_pred,y_test)\n",
-    "DT_acc"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 59,
-   "id": "4a5dad9a",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "array([[985, 318],\n",
-       "       [127, 328]], dtype=int64)"
-      ]
-     },
-     "execution_count": 59,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "\n",
-    "from sklearn.metrics import confusion_matrix\n",
-    "\n",
-    "cm = confusion_matrix(y_test, y_pred)\n",
-    "cm"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 60,
-   "id": "de8d0b01",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "#checking Auc_Roc_Score via importing library\n",
-    "from sklearn.metrics import roc_auc_score"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 61,
-   "id": "c1ee3c9e",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "0.7384134668094761"
-      ]
-     },
-     "execution_count": 61,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "roc_auc_score(y_test,y_pred)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "fd76fbed",
-   "metadata": {},
-   "source": [
-    "# Hypertuning\n",
-    "    \n"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "710cfaff",
-   "metadata": {},
-   "source": [
-    "it is used to increases the performance of a model via providing best parameters"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 62,
-   "id": "aeadf4e2",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "#importing library for hypertuning\n",
-    "from sklearn.model_selection import GridSearchCV"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 63,
-   "id": "f42a1258",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "pGrid = {'max_depth': range(2, 10), # 8\n",
-    "        'min_samples_leaf': range(10, 51, 10),  # 5\n",
-    "        'min_samples_split': range(20, 81, 20)}   # 4\n",
-    "#intance of GScv\n",
-    "gscv = GridSearchCV(estimator = DecisionTreeClassifier(), param_grid = pGrid, cv = 5,\n",
-    "                       scoring = 'recall', n_jobs = -1, verbose = True)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 64,
-   "id": "92c9ddce",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Fitting 5 folds for each of 160 candidates, totalling 800 fits\n"
-     ]
-    },
-    {
-     "data": {
-      "text/plain": [
-       "GridSearchCV(cv=5, estimator=DecisionTreeClassifier(), n_jobs=-1,\n",
-       "             param_grid={'max_depth': range(2, 10),\n",
-       "                         'min_samples_leaf': range(10, 51, 10),\n",
-       "                         'min_samples_split': range(20, 81, 20)},\n",
-       "             scoring='recall', verbose=True)"
-      ]
-     },
-     "execution_count": 64,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "#fitiing the data\n",
-    "gscv.fit(X,y)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 65,
-   "id": "da422896",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "{'max_depth': 2, 'min_samples_leaf': 10, 'min_samples_split': 20}"
-      ]
-     },
-     "execution_count": 65,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "#finding best params for model\n",
-    "gscv.best_params_"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "7d584d80",
-   "metadata": {},
-   "source": [
-    "**Disadvantages of decision trees:**\n",
-    "    \n",
-    "- Performance is (generally) not competitive with the best supervised learning methods\n",
-    "    - Use Ensembles \n",
-    "- Can easily overfit the training data (tuning is required / PRUNING standard concept )\n",
-    "\n",
-    "- Small variations in the data can result in a completely different tree (high variance)\n",
-    "    - Use Ensembles to reduce the variance\n",
-    "    \n",
-    "- Recursive binary splitting makes \"locally optimal\" decisions that may not result in a globally optimal tree\n",
-    "- Doesn't tend to work well if the classes are highly unbalanced\n",
-    "- Doesn't tend to work well with very small datasets"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "0fc68484",
-   "metadata": {},
-   "source": [
-    "# RANDOM FOREST"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "008226d8",
-   "metadata": {},
-   "source": [
-    "Random forests or random decision forests are an ensemble learning method for classification, regression and other tasks that operate by constructing a multitude of decision trees at training time and outputting the class that is the mode of the classes or mean/average prediction of the individual trees. "
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 66,
-   "id": "cd472afa",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "<ipython-input-66-f87858d2a048>:4: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
-      "  classifier2.fit(X_train, y_train)\n"
-     ]
-    },
-    {
-     "data": {
-      "text/plain": [
-       "RandomForestClassifier(n_estimators=70, random_state=0)"
-      ]
-     },
-     "execution_count": 66,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "from sklearn.ensemble import RandomForestClassifier\n",
-    "\n",
-    "classifier2 = RandomForestClassifier(n_estimators = 70, criterion = 'gini', random_state = 0)\n",
-    "classifier2.fit(X_train, y_train)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 67,
-   "id": "576a4b1d",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "y_pred = classifier2.predict(X_test)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 68,
-   "id": "74301722",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "0.8037542662116041"
-      ]
-     },
-     "execution_count": 68,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "from sklearn.metrics import accuracy_score\n",
-    "RF_acc = accuracy_score(y_test,y_pred)\n",
-    "RF_acc"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 69,
-   "id": "c4942c23",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "0.7052693277558972"
-      ]
-     },
-     "execution_count": 69,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "from sklearn.metrics import roc_auc_score\n",
-    "roc_auc_score(y_test,y_pred)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 70,
-   "id": "b314ec0b",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "array([[1185,  118],\n",
-       "       [ 227,  228]], dtype=int64)"
-      ]
-     },
-     "execution_count": 70,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "from sklearn.metrics import confusion_matrix\n",
-    "cm = confusion_matrix(y_test, y_pred)\n",
-    "cm"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 71,
-   "id": "9db435c7",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Fitting 5 folds for each of 25 candidates, totalling 125 fits\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Lenovo\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_search.py:918: UserWarning: One or more of the test scores are non-finite: [0.79209177 0.79337159 0.79237576 0.7928022  0.78995826 0.79066919\n",
-      " 0.78313331 0.78711502 0.78967457 0.78981591 0.7807154  0.78099858\n",
-      " 0.78555    0.78554929 0.78839465 0.78199432 0.78270576 0.78412904\n",
-      " 0.78597694 0.7825627         nan        nan        nan        nan\n",
-      "        nan]\n",
-      "  warnings.warn(\n",
-      "C:\\Users\\Lenovo\\anaconda3\\lib\\site-packages\\sklearn\\model_selection\\_search.py:880: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
-      "  self.best_estimator_.fit(X, y, **fit_params)\n"
-     ]
-    },
-    {
-     "data": {
-      "text/plain": [
-       "GridSearchCV(cv=5, estimator=RandomForestClassifier(), n_jobs=-1,\n",
-       "             param_grid={'max_features': [5, 10, 15, 20, 25],\n",
-       "                         'n_estimators': [70, 80, 90, 100, 120]},\n",
-       "             verbose=True)"
-      ]
-     },
-     "execution_count": 71,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "#n_estimators :- int, default=100\n",
-    "#The number of trees in the forest- the n_estimator parameter controls the number of trees inside the classifier.\n",
-    "#max_features helps to find the number of features to take into account in order to make the best split\n",
-    "\n",
-    "\n",
-    "pargrid_rf = {'n_estimators': [70, 80, 90, 100, 120],\n",
-    "                  'max_features': [5,10,15,20,25]}\n",
-    "\n",
-    "gscv_rf = GridSearchCV(estimator = RandomForestClassifier(), \n",
-    "                        param_grid = pargrid_rf, \n",
-    "                        cv = 5,\n",
-    "                        verbose = True, \n",
-    "                        n_jobs = -1)\n",
-    "\n",
-    "gscv_rf.fit(X, y)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 72,
-   "id": "6e4b32fb",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "{'max_features': 5, 'n_estimators': 80}"
-      ]
-     },
-     "execution_count": 72,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "gscv_rf.best_params_"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "dd76d339",
-   "metadata": {},
-   "source": [
-    "Importing libraries to draw tree structre"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 73,
-   "id": "ebd9cc40",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "from matplotlib import pyplot as plt\n",
-    "from sklearn import tree"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 74,
-   "id": "cf12c14e",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "[Text(418.5, 453.0, 'X[16] <= 0.5\\ngini = 0.392\\nsamples = 5274\\nvalue = [3860, 1414]'),\n",
-       " Text(209.25, 271.8, 'X[10] <= 0.5\\ngini = 0.49\\nsamples = 2931\\nvalue = [1669, 1262]'),\n",
-       " Text(104.625, 90.59999999999997, 'gini = 0.5\\nsamples = 1985\\nvalue = [970, 1015]'),\n",
-       " Text(313.875, 90.59999999999997, 'gini = 0.386\\nsamples = 946\\nvalue = [699, 247]'),\n",
-       " Text(627.75, 271.8, 'X[19] <= 99.85\\ngini = 0.121\\nsamples = 2343\\nvalue = [2191, 152]'),\n",
-       " Text(523.125, 90.59999999999997, 'gini = 0.077\\nsamples = 1912\\nvalue = [1835, 77]'),\n",
-       " Text(732.375, 90.59999999999997, 'gini = 0.287\\nsamples = 431\\nvalue = [356, 75]')]"
-      ]
-     },
-     "execution_count": 74,
-     "metadata": {},
-     "output_type": "execute_result"
-    },
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 1080x720 with 1 Axes>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "plt.figure(figsize = (15,10))\n",
-    "tree.plot_tree(classifier, filled = True)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "d9452db6",
-   "metadata": {},
-   "source": [
-    "# KNN"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "f16bc237",
-   "metadata": {},
-   "source": [
-    "1.Supervised Learning technique.\n",
-    "2.K-NN algorithm can be used for Regression & Classification -  mostly Classification problems.\n",
-    "3.K-NN is a non-parametric algoritham- which means it does not make any assumption on underlying data.\n",
-    "4.It is also called a lazy learner algorithm because it does not learn from the training set immediately instead it stores the dataset.\n",
-    "5.At the time of classification, it performs an action on the dataset.\n",
-    "6.Example: Suppose, we have an image of a creature that looks similar to cat and dog, but we want to know either it is a cat or dog. So for this identification, we can use the KNN algorithm,"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "a6f49184",
-   "metadata": {},
-   "source": [
-    "Step-1: Select the number K of the neighbors\n",
-    "Step-2: Calculate the Euclidean distance of K number of neighbors\n",
-    "Step-3: Take the K nearest neighbors as per the calculated Euclidean distance.\n",
-    "Step-4: Among these k neighbors, count the number of the data points in each category.\n",
-    "Step-5: Assign the new data points to that category for which the number of the neighbor is maximum.\n",
-    "Step-6: Our model is ready."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 75,
-   "id": "240ea111",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Lenovo\\anaconda3\\lib\\site-packages\\sklearn\\neighbors\\_classification.py:179: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
-      "  return self._fit(X, y)\n"
-     ]
-    },
-    {
-     "data": {
-      "text/plain": [
-       "KNeighborsClassifier(n_neighbors=11)"
-      ]
-     },
-     "execution_count": 75,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# Fitting K-NN to the Training set\n",
-    "from sklearn.neighbors import KNeighborsClassifier\n",
-    "classifier = KNeighborsClassifier(n_neighbors = 11, metric = 'minkowski', p = 2)\n",
-    "classifier.fit(X_train, y_train)\n",
-    "\n",
-    "\n",
-    "\n",
-    "\n",
-    "#p : integer, optional (default = 2)\n",
-    "#Power parameter for the Minkowski metric. \n",
-    "#When p = 1, this is equivalent to using manhattan_distance (l1), \n",
-    "# and euclidean_distance (l2) for p = 2.\n",
-    "\n",
-    "#metric : string or callable, default ‘minkowski’\n",
-    "\n",
-    "#The Minkowski distance is a metric in a normed vector space which can be considered as a \n",
-    "# generalization of both the Euclidean distance and the Manhattan distance.\n",
-    "\n",
-    "#the distance metric to use for the tree. The default metric is minkowski, \n",
-    "#and with p=2 is equivalent to the standard Euclidean metric."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 76,
-   "id": "669eae48",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Predicting the Test set results\n",
-    "y_pred = classifier.predict(X_test)\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 77,
-   "id": "5122b9e8",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "array([[1215,   88],\n",
-       "       [ 392,   63]], dtype=int64)"
-      ]
-     },
-     "execution_count": 77,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "\n",
-    "# Making the Confusion Matrix\n",
-    "from sklearn.metrics import confusion_matrix\n",
-    "cm = confusion_matrix(y_test, y_pred)\n",
-    "cm"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 78,
-   "id": "4c6f892a",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "0.726962457337884"
-      ]
-     },
-     "execution_count": 78,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "from sklearn.metrics import accuracy_score\n",
-    "KNN_acc = accuracy_score(y_pred,y_test)\n",
-    "KNN_acc"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 79,
-   "id": "d0df133e",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "0.5866428745101111"
-      ]
-     },
-     "execution_count": 79,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "from sklearn.metrics import roc_auc_score\n",
-    "roc_auc_score(y_pred,y_test)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 80,
-   "id": "9dd24d51",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "<AxesSubplot:>"
-      ]
-     },
-     "execution_count": 80,
-     "metadata": {},
-     "output_type": "execute_result"
-    },
-    {
-     "data": {
-      "image/png": "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\n",
-      "text/plain": [
-       "<Figure size 432x288 with 2 Axes>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "import seaborn as sns\n",
-    "sns.heatmap(cm, annot = True)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 81,
-   "id": "ebece630",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "from sklearn.model_selection import GridSearchCV"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 82,
-   "id": "61072235",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "pGrid = {'n_neighbors': range(10,200),\n",
-    "        'leaf_size': range(10, 51, 10), }\n",
-    "\n",
-    "\n",
-    "gscv = GridSearchCV(estimator = KNeighborsClassifier(), param_grid = pGrid, cv = 5,\n",
-    "                       scoring = 'recall', n_jobs = -1, verbose = True)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 83,
-   "id": "509a2400",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Fitting 5 folds for each of 950 candidates, totalling 4750 fits\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Lenovo\\anaconda3\\lib\\site-packages\\sklearn\\neighbors\\_classification.py:179: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
-      "  return self._fit(X, y)\n"
-     ]
-    },
-    {
-     "data": {
-      "text/plain": [
-       "GridSearchCV(cv=5, estimator=KNeighborsClassifier(), n_jobs=-1,\n",
-       "             param_grid={'leaf_size': range(10, 51, 10),\n",
-       "                         'n_neighbors': range(10, 200)},\n",
-       "             scoring='recall', verbose=True)"
-      ]
-     },
-     "execution_count": 83,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "gscv.fit(X,y)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 84,
-   "id": "599febe0",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "{'leaf_size': 10, 'n_neighbors': 11}"
-      ]
-     },
-     "execution_count": 84,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "gscv.best_params_"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "c4066319",
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.8.8"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 5
-}
+ML Model