30_9_2020.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 30/9/2020 - Report data tracking invest.vcsc.com.vn "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "# ------------- data analysis and wrangling-------------------\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import random as rnd\n",
    "from pandas import DataFrame\n",
    "import warnings\n",
    "warnings.filterwarnings(\"ignore\")\n",
    "import shap\n",
    "# ------------------------------------------------------------\n",
    "\n",
    "# ------- import các tool visualization ----------------------\n",
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline\n",
    "# ------------------------------------------------------------"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "eda = pd.read_csv(r\"C:\\PYTHON LEARNING\\DATA\\eye tracking.csv\")\n",
    "eda = pd.DataFrame(eda)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "        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>Created</th>\n",
       "      <th>Recording URL</th>\n",
       "      <th>Publicly Shared</th>\n",
       "      <th>Already Watched</th>\n",
       "      <th>Favorited</th>\n",
       "      <th>Tags</th>\n",
       "      <th>Notes</th>\n",
       "      <th>Landing Page URL</th>\n",
       "      <th>Exit Page URL</th>\n",
       "      <th>Referrer URL</th>\n",
       "      <th>...</th>\n",
       "      <th>Duration (seconds)</th>\n",
       "      <th>Rage Clicked</th>\n",
       "      <th>U-Turned</th>\n",
       "      <th>Incoming Feedback</th>\n",
       "      <th>Net Promoter Score®</th>\n",
       "      <th>Hotjar User ID</th>\n",
       "      <th>Country</th>\n",
       "      <th>Device</th>\n",
       "      <th>Browser</th>\n",
       "      <th>Operating System</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2020-09-18T00:58:49</td>\n",
       "      <td>https://insights.hotjar.com/r?site=1982311&amp;rec...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://invest.vcsc.com.vn/mo-tai-khoan-online...</td>\n",
       "      <td>https://invest.vcsc.com.vn/mo-tai-khoan-online...</td>\n",
       "      <td>https://www.google.com/</td>\n",
       "      <td>...</td>\n",
       "      <td>14</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0234ea49</td>\n",
       "      <td>VN</td>\n",
       "      <td>Phone</td>\n",
       "      <td>Chrome</td>\n",
       "      <td>Android</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2020-09-21T03:32:02</td>\n",
       "      <td>https://insights.hotjar.com/r?site=1982311&amp;rec...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://invest.vcsc.com.vn/mo-tai-khoan-online...</td>\n",
       "      <td>https://invest.vcsc.com.vn/mo-tai-khoan-online...</td>\n",
       "      <td>https://www.google.com/</td>\n",
       "      <td>...</td>\n",
       "      <td>111</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>40a5b6b1</td>\n",
       "      <td>VN</td>\n",
       "      <td>Desktop</td>\n",
       "      <td>Chrome</td>\n",
       "      <td>Windows</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2020-09-24T03:29:11</td>\n",
       "      <td>https://insights.hotjar.com/r?site=1982311&amp;rec...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://invest.vcsc.com.vn/mo-tai-khoan-online...</td>\n",
       "      <td>https://invest.vcsc.com.vn/mo-tai-khoan-online...</td>\n",
       "      <td>https://www.google.com/</td>\n",
       "      <td>...</td>\n",
       "      <td>392</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>528d63c8</td>\n",
       "      <td>VN</td>\n",
       "      <td>Desktop</td>\n",
       "      <td>Firefox</td>\n",
       "      <td>Windows</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2020-09-15T05:22:17</td>\n",
       "      <td>https://insights.hotjar.com/r?site=1982311&amp;rec...</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://invest.vcsc.com.vn/mo-tai-khoan-online...</td>\n",
       "      <td>https://invest.vcsc.com.vn/mo-tai-khoan-online...</td>\n",
       "      <td>https://www.google.com/</td>\n",
       "      <td>...</td>\n",
       "      <td>35</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>f9c7a757</td>\n",
       "      <td>VN</td>\n",
       "      <td>Phone</td>\n",
       "      <td>Chrome</td>\n",
       "      <td>Android</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2020-09-24T04:35:46</td>\n",
       "      <td>https://insights.hotjar.com/r?site=1982311&amp;rec...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://invest.vcsc.com.vn/mo-tai-khoan-online...</td>\n",
       "      <td>https://invest.vcsc.com.vn/mo-tai-khoan-online...</td>\n",
       "      <td>https://www.google.com.vn</td>\n",
       "      <td>...</td>\n",
       "      <td>7</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6c388d26</td>\n",
       "      <td>VN</td>\n",
       "      <td>Phone</td>\n",
       "      <td>Safari</td>\n",
       "      <td>Ios</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>324</th>\n",
       "      <td>2020-09-23T08:25:08</td>\n",
       "      <td>https://insights.hotjar.com/r?site=1982311&amp;rec...</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://invest.vcsc.com.vn/mo-tai-khoan-online...</td>\n",
       "      <td>https://invest.vcsc.com.vn/mo-tai-khoan-online...</td>\n",
       "      <td>https://www.google.com/</td>\n",
       "      <td>...</td>\n",
       "      <td>17</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>418d0d42</td>\n",
       "      <td>VN</td>\n",
       "      <td>Phone</td>\n",
       "      <td>Chrome</td>\n",
       "      <td>Android</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>325</th>\n",
       "      <td>2020-09-23T07:52:11</td>\n",
       "      <td>https://insights.hotjar.com/r?site=1982311&amp;rec...</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://invest.vcsc.com.vn/mo-tai-khoan-online...</td>\n",
       "      <td>https://invest.vcsc.com.vn/mo-tai-khoan-online...</td>\n",
       "      <td>https://www.google.com.vn/</td>\n",
       "      <td>...</td>\n",
       "      <td>68</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>f17f0bb1</td>\n",
       "      <td>VN</td>\n",
       "      <td>Phone</td>\n",
       "      <td>Uc</td>\n",
       "      <td>Ios</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>326</th>\n",
       "      <td>2020-09-23T07:21:02</td>\n",
       "      <td>https://insights.hotjar.com/r?site=1982311&amp;rec...</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://invest.vcsc.com.vn/mo-tai-khoan-online...</td>\n",
       "      <td>https://invest.vcsc.com.vn/mo-tai-khoan-online...</td>\n",
       "      <td>https://www.google.com/</td>\n",
       "      <td>...</td>\n",
       "      <td>47</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>69d2853e</td>\n",
       "      <td>VN</td>\n",
       "      <td>Desktop</td>\n",
       "      <td>Chrome</td>\n",
       "      <td>Windows</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>327</th>\n",
       "      <td>2020-09-23T06:12:13</td>\n",
       "      <td>https://insights.hotjar.com/r?site=1982311&amp;rec...</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://invest.vcsc.com.vn/mo-tai-khoan-online...</td>\n",
       "      <td>https://invest.vcsc.com.vn/mo-tai-khoan-online...</td>\n",
       "      <td>https://www.google.com/</td>\n",
       "      <td>...</td>\n",
       "      <td>374</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>337fd7b4</td>\n",
       "      <td>VN</td>\n",
       "      <td>Desktop</td>\n",
       "      <td>Chrome</td>\n",
       "      <td>Windows</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>328</th>\n",
       "      <td>2020-09-23T06:00:42</td>\n",
       "      <td>https://insights.hotjar.com/r?site=1982311&amp;rec...</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://invest.vcsc.com.vn/mo-tai-khoan-online...</td>\n",
       "      <td>https://invest.vcsc.com.vn/mo-tai-khoan-online...</td>\n",
       "      <td>https://www.google.com/</td>\n",
       "      <td>...</td>\n",
       "      <td>62</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>a135bb3c</td>\n",
       "      <td>VN</td>\n",
       "      <td>Phone</td>\n",
       "      <td>Chrome</td>\n",
       "      <td>Android</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>329 rows × 22 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                 Created                                      Recording URL  \\\n",
       "0    2020-09-18T00:58:49  https://insights.hotjar.com/r?site=1982311&rec...   \n",
       "1    2020-09-21T03:32:02  https://insights.hotjar.com/r?site=1982311&rec...   \n",
       "2    2020-09-24T03:29:11  https://insights.hotjar.com/r?site=1982311&rec...   \n",
       "3    2020-09-15T05:22:17  https://insights.hotjar.com/r?site=1982311&rec...   \n",
       "4    2020-09-24T04:35:46  https://insights.hotjar.com/r?site=1982311&rec...   \n",
       "..                   ...                                                ...   \n",
       "324  2020-09-23T08:25:08  https://insights.hotjar.com/r?site=1982311&rec...   \n",
       "325  2020-09-23T07:52:11  https://insights.hotjar.com/r?site=1982311&rec...   \n",
       "326  2020-09-23T07:21:02  https://insights.hotjar.com/r?site=1982311&rec...   \n",
       "327  2020-09-23T06:12:13  https://insights.hotjar.com/r?site=1982311&rec...   \n",
       "328  2020-09-23T06:00:42  https://insights.hotjar.com/r?site=1982311&rec...   \n",
       "\n",
       "     Publicly Shared  Already Watched  Favorited  Tags  Notes  \\\n",
       "0              False            False      False   NaN    NaN   \n",
       "1              False            False      False   NaN    NaN   \n",
       "2              False            False      False   NaN    NaN   \n",
       "3              False             True      False   NaN    NaN   \n",
       "4              False            False      False   NaN    NaN   \n",
       "..               ...              ...        ...   ...    ...   \n",
       "324            False             True      False   NaN    NaN   \n",
       "325            False             True      False   NaN    NaN   \n",
       "326            False             True      False   NaN    NaN   \n",
       "327            False             True       True   NaN    NaN   \n",
       "328            False             True      False   NaN    NaN   \n",
       "\n",
       "                                      Landing Page URL  \\\n",
       "0    https://invest.vcsc.com.vn/mo-tai-khoan-online...   \n",
       "1    https://invest.vcsc.com.vn/mo-tai-khoan-online...   \n",
       "2    https://invest.vcsc.com.vn/mo-tai-khoan-online...   \n",
       "3    https://invest.vcsc.com.vn/mo-tai-khoan-online...   \n",
       "4    https://invest.vcsc.com.vn/mo-tai-khoan-online...   \n",
       "..                                                 ...   \n",
       "324  https://invest.vcsc.com.vn/mo-tai-khoan-online...   \n",
       "325  https://invest.vcsc.com.vn/mo-tai-khoan-online...   \n",
       "326  https://invest.vcsc.com.vn/mo-tai-khoan-online...   \n",
       "327  https://invest.vcsc.com.vn/mo-tai-khoan-online...   \n",
       "328  https://invest.vcsc.com.vn/mo-tai-khoan-online...   \n",
       "\n",
       "                                         Exit Page URL  \\\n",
       "0    https://invest.vcsc.com.vn/mo-tai-khoan-online...   \n",
       "1    https://invest.vcsc.com.vn/mo-tai-khoan-online...   \n",
       "2    https://invest.vcsc.com.vn/mo-tai-khoan-online...   \n",
       "3    https://invest.vcsc.com.vn/mo-tai-khoan-online...   \n",
       "4    https://invest.vcsc.com.vn/mo-tai-khoan-online...   \n",
       "..                                                 ...   \n",
       "324  https://invest.vcsc.com.vn/mo-tai-khoan-online...   \n",
       "325  https://invest.vcsc.com.vn/mo-tai-khoan-online...   \n",
       "326  https://invest.vcsc.com.vn/mo-tai-khoan-online...   \n",
       "327  https://invest.vcsc.com.vn/mo-tai-khoan-online...   \n",
       "328  https://invest.vcsc.com.vn/mo-tai-khoan-online...   \n",
       "\n",
       "                   Referrer URL  ...  Duration (seconds)  Rage Clicked  \\\n",
       "0       https://www.google.com/  ...                  14         False   \n",
       "1       https://www.google.com/  ...                 111         False   \n",
       "2       https://www.google.com/  ...                 392         False   \n",
       "3       https://www.google.com/  ...                  35         False   \n",
       "4     https://www.google.com.vn  ...                   7         False   \n",
       "..                          ...  ...                 ...           ...   \n",
       "324     https://www.google.com/  ...                  17         False   \n",
       "325  https://www.google.com.vn/  ...                  68         False   \n",
       "326     https://www.google.com/  ...                  47         False   \n",
       "327     https://www.google.com/  ...                 374         False   \n",
       "328     https://www.google.com/  ...                  62         False   \n",
       "\n",
       "     U-Turned  Incoming Feedback  Net Promoter Score®  Hotjar User ID  \\\n",
       "0       False                NaN                  NaN        0234ea49   \n",
       "1       False                NaN                  NaN        40a5b6b1   \n",
       "2       False                NaN                  NaN        528d63c8   \n",
       "3       False                NaN                  NaN        f9c7a757   \n",
       "4       False                NaN                  NaN        6c388d26   \n",
       "..        ...                ...                  ...             ...   \n",
       "324     False                NaN                  NaN        418d0d42   \n",
       "325     False                NaN                  NaN        f17f0bb1   \n",
       "326     False                NaN                  NaN        69d2853e   \n",
       "327     False                NaN                  NaN        337fd7b4   \n",
       "328     False                NaN                  NaN        a135bb3c   \n",
       "\n",
       "     Country   Device  Browser Operating System  \n",
       "0         VN    Phone   Chrome          Android  \n",
       "1         VN  Desktop   Chrome          Windows  \n",
       "2         VN  Desktop  Firefox          Windows  \n",
       "3         VN    Phone   Chrome          Android  \n",
       "4         VN    Phone   Safari              Ios  \n",
       "..       ...      ...      ...              ...  \n",
       "324       VN    Phone   Chrome          Android  \n",
       "325       VN    Phone       Uc              Ios  \n",
       "326       VN  Desktop   Chrome          Windows  \n",
       "327       VN  Desktop   Chrome          Windows  \n",
       "328       VN    Phone   Chrome          Android  \n",
       "\n",
       "[329 rows x 22 columns]"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "eda"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1800x720 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "def timnan(eda):\n",
    "    import missingno as msno\n",
    "    import numpy as np\n",
    "    collisions = eda.replace(\"nan\", np.nan)\n",
    "    msno.matrix(collisions.sample(100))\n",
    "    plt.show()\n",
    "timnan(eda)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "target = 'Favorited'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Target looks like classification\n",
      "Linear Discriminant Analysis training set score: 0.852\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x432 with 6 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x720 with 6 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "target = 'Favorited'\n",
    "import cafechungkhoan\n",
    "from cafechungkhoan import plot\n",
    "from cafechungkhoan.datasets import load_ames\n",
    "plot(eda, target)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Fast EDA nhận thấy feature Page Count có giá trị với khách hàng"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Các phần Browser, Operating system, Device không rõ ràng để đánh giá"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Dựa vào data record nhận thấy lượng khách fill gần hết form là count(True) so với thực tế"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Cần loại bỏ các bước không cần thiết, cho khách tự fill và chuyển mail cho broker cả các khách không fill hết form"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "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>Created</th>\n",
       "      <th>Recording URL</th>\n",
       "      <th>Publicly Shared</th>\n",
       "      <th>Already Watched</th>\n",
       "      <th>Tags</th>\n",
       "      <th>Notes</th>\n",
       "      <th>Landing Page URL</th>\n",
       "      <th>Exit Page URL</th>\n",
       "      <th>Referrer URL</th>\n",
       "      <th>Action Count</th>\n",
       "      <th>...</th>\n",
       "      <th>Duration (seconds)</th>\n",
       "      <th>Rage Clicked</th>\n",
       "      <th>U-Turned</th>\n",
       "      <th>Incoming Feedback</th>\n",
       "      <th>Net Promoter Score®</th>\n",
       "      <th>Hotjar User ID</th>\n",
       "      <th>Country</th>\n",
       "      <th>Device</th>\n",
       "      <th>Browser</th>\n",
       "      <th>Operating System</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Favorited</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>False</th>\n",
       "      <td>285</td>\n",
       "      <td>285</td>\n",
       "      <td>285</td>\n",
       "      <td>285</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>285</td>\n",
       "      <td>285</td>\n",
       "      <td>260</td>\n",
       "      <td>285</td>\n",
       "      <td>...</td>\n",
       "      <td>285</td>\n",
       "      <td>285</td>\n",
       "      <td>285</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>285</td>\n",
       "      <td>285</td>\n",
       "      <td>285</td>\n",
       "      <td>285</td>\n",
       "      <td>285</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>True</th>\n",
       "      <td>44</td>\n",
       "      <td>44</td>\n",
       "      <td>44</td>\n",
       "      <td>44</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>44</td>\n",
       "      <td>44</td>\n",
       "      <td>41</td>\n",
       "      <td>44</td>\n",
       "      <td>...</td>\n",
       "      <td>44</td>\n",
       "      <td>44</td>\n",
       "      <td>44</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>44</td>\n",
       "      <td>44</td>\n",
       "      <td>44</td>\n",
       "      <td>44</td>\n",
       "      <td>44</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2 rows × 21 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "           Created  Recording URL  Publicly Shared  Already Watched  Tags  \\\n",
       "Favorited                                                                   \n",
       "False          285            285              285              285     0   \n",
       "True            44             44               44               44     0   \n",
       "\n",
       "           Notes  Landing Page URL  Exit Page URL  Referrer URL  Action Count  \\\n",
       "Favorited                                                                       \n",
       "False          0               285            285           260           285   \n",
       "True           0                44             44            41            44   \n",
       "\n",
       "           ...  Duration (seconds)  Rage Clicked  U-Turned  Incoming Feedback  \\\n",
       "Favorited  ...                                                                  \n",
       "False      ...                 285           285       285                  0   \n",
       "True       ...                  44            44        44                  0   \n",
       "\n",
       "           Net Promoter Score®  Hotjar User ID  Country  Device  Browser  \\\n",
       "Favorited                                                                  \n",
       "False                        0             285      285     285      285   \n",
       "True                         0              44       44      44       44   \n",
       "\n",
       "           Operating System  \n",
       "Favorited                    \n",
       "False                   285  \n",
       "True                     44  \n",
       "\n",
       "[2 rows x 21 columns]"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "eda.groupby('Favorited').count()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Filter nhóm action count < 15 không remarketing"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1f7b243a188>"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x144 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize = (10,2))\n",
    "sns.scatterplot(data=eda, x=\"Action Count\", y=1, hue=\"Favorited\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Lượng click của khách đăng kí trên Phone nhiều hơn trên Destop"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1f7b23dd708>"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x504 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize = (10,7))\n",
    "sns.pointplot(y=\"Action Count\",x=\"Device\", hue=\"Favorited\",data=eda,join=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Dữ liệu Page Scroll bị drop mạnh tại vị trí 30% độ dài page"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "page_scroll = pd.read_csv(r\"C:\\PYTHON LEARNING\\DATA\\invest vcsc page scroll.csv\")\n",
    "page_scroll = pd.DataFrame(page_scroll)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "page_scroll['ofpagescrolled'] = page_scroll['% of page scrolled']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1f7b06c7808>"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize = (10,5))\n",
    "sns.barplot(data=page_scroll, x=\"% of page scrolled\", y='# of visitors',order=page_scroll['% of page scrolled'],color=\"salmon\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Lượng khách giảm 50% từ button mở tk ngay đến reCAPCHA"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "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>Element CSS selector</th>\n",
       "      <th>Total # of clicks</th>\n",
       "      <th>Visible</th>\n",
       "      <th>% of total</th>\n",
       "      <th>Unnamed: 4</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>div#_form&gt;div.content&gt;div.form&gt;div.row&gt;div.col...</td>\n",
       "      <td>76</td>\n",
       "      <td>No</td>\n",
       "      <td>5.87%</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>*[name=\"name\"]</td>\n",
       "      <td>45</td>\n",
       "      <td>Yes</td>\n",
       "      <td>3.48%</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>div#_form&gt;div.content&gt;div.form&gt;div.row&gt;div.col...</td>\n",
       "      <td>40</td>\n",
       "      <td>Yes</td>\n",
       "      <td>3.09%</td>\n",
       "      <td>Button [M? TÀI KHO?N NGAY]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>*[name=\"address\"]</td>\n",
       "      <td>38</td>\n",
       "      <td>Yes</td>\n",
       "      <td>2.94%</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>div#_form&gt;div.content&gt;div.form&gt;div.row&gt;div.col...</td>\n",
       "      <td>35</td>\n",
       "      <td>No</td>\n",
       "      <td>2.70%</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>*[name=\"email\"]</td>\n",
       "      <td>32</td>\n",
       "      <td>Yes</td>\n",
       "      <td>2.47%</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>*[name=\"id_number\"]</td>\n",
       "      <td>28</td>\n",
       "      <td>No</td>\n",
       "      <td>2.16%</td>\n",
       "      <td>click form \"s? CMND\"</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>*[name=\"phone\"]</td>\n",
       "      <td>26</td>\n",
       "      <td>Yes</td>\n",
       "      <td>2.01%</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>*[name=\"brand\"]</td>\n",
       "      <td>23</td>\n",
       "      <td>Yes</td>\n",
       "      <td>1.78%</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>div#myTopnav&gt;nav&gt;a.nav-item (1)</td>\n",
       "      <td>22</td>\n",
       "      <td>Yes</td>\n",
       "      <td>1.70%</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>*[name=\"bank_brand\"]</td>\n",
       "      <td>22</td>\n",
       "      <td>No</td>\n",
       "      <td>1.70%</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>div#_form&gt;div.content&gt;div.form&gt;div.row&gt;div.col...</td>\n",
       "      <td>21</td>\n",
       "      <td>No</td>\n",
       "      <td>1.62%</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>div#_form&gt;div.content&gt;div.form&gt;div.row&gt;div.col...</td>\n",
       "      <td>20</td>\n",
       "      <td>No</td>\n",
       "      <td>1.55%</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>div#_form&gt;div.content&gt;div.form&gt;div.colspan.css...</td>\n",
       "      <td>20</td>\n",
       "      <td>No</td>\n",
       "      <td>1.55%</td>\n",
       "      <td>reCAPCHA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>section#section-form&gt;div.container&gt;div.content...</td>\n",
       "      <td>20</td>\n",
       "      <td>Yes</td>\n",
       "      <td>1.55%</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>*[name=\"sex\"]</td>\n",
       "      <td>19</td>\n",
       "      <td>Yes</td>\n",
       "      <td>1.47%</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>*[name=\"id_issue_place\"]</td>\n",
       "      <td>18</td>\n",
       "      <td>No</td>\n",
       "      <td>1.39%</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>*[name=\"bank_brand_region\"]</td>\n",
       "      <td>18</td>\n",
       "      <td>No</td>\n",
       "      <td>1.39%</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>div#myTopnav&gt;nav&gt;a.nav-item</td>\n",
       "      <td>17</td>\n",
       "      <td>Yes</td>\n",
       "      <td>1.31%</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>*[name=\"bank_account\"]</td>\n",
       "      <td>17</td>\n",
       "      <td>No</td>\n",
       "      <td>1.31%</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                 Element CSS selector  Total # of clicks  \\\n",
       "0   div#_form>div.content>div.form>div.row>div.col...                 76   \n",
       "1                                      *[name=\"name\"]                 45   \n",
       "2   div#_form>div.content>div.form>div.row>div.col...                 40   \n",
       "3                                   *[name=\"address\"]                 38   \n",
       "4   div#_form>div.content>div.form>div.row>div.col...                 35   \n",
       "5                                     *[name=\"email\"]                 32   \n",
       "6                                 *[name=\"id_number\"]                 28   \n",
       "7                                     *[name=\"phone\"]                 26   \n",
       "8                                     *[name=\"brand\"]                 23   \n",
       "9                     div#myTopnav>nav>a.nav-item (1)                 22   \n",
       "10                               *[name=\"bank_brand\"]                 22   \n",
       "11  div#_form>div.content>div.form>div.row>div.col...                 21   \n",
       "12  div#_form>div.content>div.form>div.row>div.col...                 20   \n",
       "13  div#_form>div.content>div.form>div.colspan.css...                 20   \n",
       "14  section#section-form>div.container>div.content...                 20   \n",
       "15                                      *[name=\"sex\"]                 19   \n",
       "16                           *[name=\"id_issue_place\"]                 18   \n",
       "17                        *[name=\"bank_brand_region\"]                 18   \n",
       "18                        div#myTopnav>nav>a.nav-item                 17   \n",
       "19                             *[name=\"bank_account\"]                 17   \n",
       "\n",
       "   Visible % of total                  Unnamed: 4  \n",
       "0       No      5.87%                         NaN  \n",
       "1      Yes      3.48%                         NaN  \n",
       "2      Yes      3.09%  Button [M? TÀI KHO?N NGAY]  \n",
       "3      Yes      2.94%                         NaN  \n",
       "4       No      2.70%                         NaN  \n",
       "5      Yes      2.47%                         NaN  \n",
       "6       No      2.16%        click form \"s? CMND\"  \n",
       "7      Yes      2.01%                         NaN  \n",
       "8      Yes      1.78%                         NaN  \n",
       "9      Yes      1.70%                         NaN  \n",
       "10      No      1.70%                         NaN  \n",
       "11      No      1.62%                         NaN  \n",
       "12      No      1.55%                         NaN  \n",
       "13      No      1.55%                    reCAPCHA  \n",
       "14     Yes      1.55%                         NaN  \n",
       "15     Yes      1.47%                         NaN  \n",
       "16      No      1.39%                         NaN  \n",
       "17      No      1.39%                         NaN  \n",
       "18     Yes      1.31%                         NaN  \n",
       "19      No      1.31%                         NaN  "
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "click_position = pd.read_csv(r\"C:\\PYTHON LEARNING\\DATA\\invest vcsc click position.csv\",encoding= 'unicode_escape')\n",
    "click_position = pd.DataFrame(click_position)\n",
    "click_position.head(20)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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