daily_sitewide.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Voter Device Id : \n",
      "Integer format Start Date : 20200101\n",
      "Integer format End Date : 20200727\n",
      "df ready\n"
     ]
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import seaborn as sns\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import json\n",
    "from urllib.request import urlopen \n",
    "\n",
    "start = 'https://api.wevoteusa.org/apis/v1/sitewideDailyMetricsSyncOut/?voter_device_id='\n",
    "voter_device_id = input('Voter Device Id : ')\n",
    "post_vdid='&starting_date_as_integer='\n",
    "start_date = input('Integer format Start Date : ')\n",
    "middle = \"&ending_date_as_integer=\"\n",
    "end_date = input('Integer format End Date : ')\n",
    "end = \"&return_csv_format=false\"\n",
    "url= start + voter_device_id + post_vdid + start_date + middle +end_date + end\n",
    "\n",
    "\n",
    "#opening URL\n",
    "htmlfile = urlopen(url)\n",
    "htmltext = htmlfile.read()\n",
    "text = htmltext.decode(encoding=\"utf8\", errors='ignore')\n",
    "#print (text)\n",
    "\n",
    "\n",
    "#Making DF\n",
    "res = json.loads(text) \n",
    "df= pd.DataFrame(res)\n",
    "\n",
    "print(\"df ready\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>id</th>\n",
       "      <th>authenticated_visitors_today</th>\n",
       "      <th>authenticated_visitors_total</th>\n",
       "      <th>ballot_views_today</th>\n",
       "      <th>date_as_integer</th>\n",
       "      <th>entered_full_address</th>\n",
       "      <th>friend_entrants_today</th>\n",
       "      <th>friends_only_positions</th>\n",
       "      <th>individuals_with_friends_only_positions</th>\n",
       "      <th>individuals_with_positions</th>\n",
       "      <th>...</th>\n",
       "      <th>organizations_signed_in_total</th>\n",
       "      <th>organizations_with_linked_issues</th>\n",
       "      <th>organizations_with_new_positions_today</th>\n",
       "      <th>organizations_with_positions</th>\n",
       "      <th>visitors_today</th>\n",
       "      <th>visitors_total</th>\n",
       "      <th>voter_guide_entrants_today</th>\n",
       "      <th>voter_guides_viewed_today</th>\n",
       "      <th>voter_guides_viewed_total</th>\n",
       "      <th>welcome_page_entrants_today</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1050</td>\n",
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       "      <td>99</td>\n",
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       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>160</td>\n",
       "      <td>87189</td>\n",
       "      <td>None</td>\n",
       "      <td>54</td>\n",
       "      <td>2456</td>\n",
       "      <td>None</td>\n",
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       "      <th>1</th>\n",
       "      <td>1049</td>\n",
       "      <td>12</td>\n",
       "      <td>2257</td>\n",
       "      <td>63</td>\n",
       "      <td>20200726</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
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       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>104</td>\n",
       "      <td>87024</td>\n",
       "      <td>None</td>\n",
       "      <td>14</td>\n",
       "      <td>2421</td>\n",
       "      <td>None</td>\n",
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       "      <th>2</th>\n",
       "      <td>1048</td>\n",
       "      <td>6</td>\n",
       "      <td>2252</td>\n",
       "      <td>63</td>\n",
       "      <td>20200725</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>...</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>98</td>\n",
       "      <td>86920</td>\n",
       "      <td>None</td>\n",
       "      <td>22</td>\n",
       "      <td>2416</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1047</td>\n",
       "      <td>8</td>\n",
       "      <td>2243</td>\n",
       "      <td>71</td>\n",
       "      <td>20200724</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>...</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>150</td>\n",
       "      <td>86814</td>\n",
       "      <td>None</td>\n",
       "      <td>41</td>\n",
       "      <td>2410</td>\n",
       "      <td>None</td>\n",
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       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1046</td>\n",
       "      <td>17</td>\n",
       "      <td>2239</td>\n",
       "      <td>67</td>\n",
       "      <td>20200723</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>...</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>121</td>\n",
       "      <td>86654</td>\n",
       "      <td>None</td>\n",
       "      <td>13</td>\n",
       "      <td>2407</td>\n",
       "      <td>None</td>\n",
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       "    <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",
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       "    <tr>\n",
       "      <th>204</th>\n",
       "      <td>846</td>\n",
       "      <td>5</td>\n",
       "      <td>1049</td>\n",
       "      <td>12</td>\n",
       "      <td>20200105</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
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       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>33</td>\n",
       "      <td>56857</td>\n",
       "      <td>None</td>\n",
       "      <td>24</td>\n",
       "      <td>2072</td>\n",
       "      <td>None</td>\n",
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       "    <tr>\n",
       "      <th>205</th>\n",
       "      <td>845</td>\n",
       "      <td>3</td>\n",
       "      <td>1047</td>\n",
       "      <td>8</td>\n",
       "      <td>20200104</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>...</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>30</td>\n",
       "      <td>56839</td>\n",
       "      <td>None</td>\n",
       "      <td>8</td>\n",
       "      <td>2071</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>206</th>\n",
       "      <td>844</td>\n",
       "      <td>5</td>\n",
       "      <td>1047</td>\n",
       "      <td>13</td>\n",
       "      <td>20200103</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>...</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>33</td>\n",
       "      <td>56818</td>\n",
       "      <td>None</td>\n",
       "      <td>17</td>\n",
       "      <td>2071</td>\n",
       "      <td>None</td>\n",
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       "    <tr>\n",
       "      <th>207</th>\n",
       "      <td>843</td>\n",
       "      <td>2</td>\n",
       "      <td>1046</td>\n",
       "      <td>12</td>\n",
       "      <td>20200102</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>...</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>25</td>\n",
       "      <td>56799</td>\n",
       "      <td>None</td>\n",
       "      <td>2</td>\n",
       "      <td>2070</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>208</th>\n",
       "      <td>842</td>\n",
       "      <td>11</td>\n",
       "      <td>1046</td>\n",
       "      <td>19</td>\n",
       "      <td>20200101</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>...</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>42</td>\n",
       "      <td>56781</td>\n",
       "      <td>None</td>\n",
       "      <td>39</td>\n",
       "      <td>2070</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>209 rows × 33 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       id  authenticated_visitors_today  authenticated_visitors_total  \\\n",
       "0    1050                            12                          2262   \n",
       "1    1049                            12                          2257   \n",
       "2    1048                             6                          2252   \n",
       "3    1047                             8                          2243   \n",
       "4    1046                            17                          2239   \n",
       "..    ...                           ...                           ...   \n",
       "204   846                             5                          1049   \n",
       "205   845                             3                          1047   \n",
       "206   844                             5                          1047   \n",
       "207   843                             2                          1046   \n",
       "208   842                            11                          1046   \n",
       "\n",
       "     ballot_views_today  date_as_integer entered_full_address  \\\n",
       "0                    99         20200727                 None   \n",
       "1                    63         20200726                 None   \n",
       "2                    63         20200725                 None   \n",
       "3                    71         20200724                 None   \n",
       "4                    67         20200723                 None   \n",
       "..                  ...              ...                  ...   \n",
       "204                  12         20200105                 None   \n",
       "205                   8         20200104                 None   \n",
       "206                  13         20200103                 None   \n",
       "207                  12         20200102                 None   \n",
       "208                  19         20200101                 None   \n",
       "\n",
       "    friend_entrants_today friends_only_positions  \\\n",
       "0                    None                   None   \n",
       "1                    None                   None   \n",
       "2                    None                   None   \n",
       "3                    None                   None   \n",
       "4                    None                   None   \n",
       "..                    ...                    ...   \n",
       "204                  None                   None   \n",
       "205                  None                   None   \n",
       "206                  None                   None   \n",
       "207                  None                   None   \n",
       "208                  None                   None   \n",
       "\n",
       "    individuals_with_friends_only_positions individuals_with_positions  ...  \\\n",
       "0                                      None                       None  ...   \n",
       "1                                      None                       None  ...   \n",
       "2                                      None                       None  ...   \n",
       "3                                      None                       None  ...   \n",
       "4                                      None                       None  ...   \n",
       "..                                      ...                        ...  ...   \n",
       "204                                    None                       None  ...   \n",
       "205                                    None                       None  ...   \n",
       "206                                    None                       None  ...   \n",
       "207                                    None                       None  ...   \n",
       "208                                    None                       None  ...   \n",
       "\n",
       "    organizations_signed_in_total organizations_with_linked_issues  \\\n",
       "0                            None                             None   \n",
       "1                            None                             None   \n",
       "2                            None                             None   \n",
       "3                            None                             None   \n",
       "4                            None                             None   \n",
       "..                            ...                              ...   \n",
       "204                          None                             None   \n",
       "205                          None                             None   \n",
       "206                          None                             None   \n",
       "207                          None                             None   \n",
       "208                          None                             None   \n",
       "\n",
       "    organizations_with_new_positions_today  organizations_with_positions  \\\n",
       "0                                     None                          None   \n",
       "1                                     None                          None   \n",
       "2                                     None                          None   \n",
       "3                                     None                          None   \n",
       "4                                     None                          None   \n",
       "..                                     ...                           ...   \n",
       "204                                   None                          None   \n",
       "205                                   None                          None   \n",
       "206                                   None                          None   \n",
       "207                                   None                          None   \n",
       "208                                   None                          None   \n",
       "\n",
       "     visitors_today visitors_total voter_guide_entrants_today  \\\n",
       "0               160          87189                       None   \n",
       "1               104          87024                       None   \n",
       "2                98          86920                       None   \n",
       "3               150          86814                       None   \n",
       "4               121          86654                       None   \n",
       "..              ...            ...                        ...   \n",
       "204              33          56857                       None   \n",
       "205              30          56839                       None   \n",
       "206              33          56818                       None   \n",
       "207              25          56799                       None   \n",
       "208              42          56781                       None   \n",
       "\n",
       "    voter_guides_viewed_today voter_guides_viewed_total  \\\n",
       "0                          54                      2456   \n",
       "1                          14                      2421   \n",
       "2                          22                      2416   \n",
       "3                          41                      2410   \n",
       "4                          13                      2407   \n",
       "..                        ...                       ...   \n",
       "204                        24                      2072   \n",
       "205                         8                      2071   \n",
       "206                        17                      2071   \n",
       "207                         2                      2070   \n",
       "208                        39                      2070   \n",
       "\n",
       "    welcome_page_entrants_today  \n",
       "0                          None  \n",
       "1                          None  \n",
       "2                          None  \n",
       "3                          None  \n",
       "4                          None  \n",
       "..                          ...  \n",
       "204                        None  \n",
       "205                        None  \n",
       "206                        None  \n",
       "207                        None  \n",
       "208                        None  \n",
       "\n",
       "[209 rows x 33 columns]"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 205 entries, 0 to 204\n",
      "Data columns (total 33 columns):\n",
      " #   Column                                   Non-Null Count  Dtype \n",
      "---  ------                                   --------------  ----- \n",
      " 0   id                                       205 non-null    int64 \n",
      " 1   authenticated_visitors_today             205 non-null    int64 \n",
      " 2   authenticated_visitors_total             205 non-null    int64 \n",
      " 3   ballot_views_today                       205 non-null    int64 \n",
      " 4   date_as_integer                          205 non-null    int64 \n",
      " 5   entered_full_address                     0 non-null      object\n",
      " 6   friend_entrants_today                    0 non-null      object\n",
      " 7   friends_only_positions                   0 non-null      object\n",
      " 8   individuals_with_friends_only_positions  0 non-null      object\n",
      " 9   individuals_with_positions               0 non-null      object\n",
      " 10  individuals_with_public_positions        0 non-null      object\n",
      " 11  issue_follows_today                      0 non-null      object\n",
      " 12  issue_follows_total                      0 non-null      object\n",
      " 13  issues_followed_today                    205 non-null    int64 \n",
      " 14  issues_followed_total                    205 non-null    int64 \n",
      " 15  issues_linked_today                      0 non-null      object\n",
      " 16  issues_linked_total                      0 non-null      object\n",
      " 17  new_visitors_today                       0 non-null      object\n",
      " 18  organization_public_positions            0 non-null      object\n",
      " 19  organizations_auto_followed_today        0 non-null      object\n",
      " 20  organizations_auto_followed_total        0 non-null      object\n",
      " 21  organizations_followed_today             0 non-null      object\n",
      " 22  organizations_followed_total             0 non-null      object\n",
      " 23  organizations_signed_in_total            0 non-null      object\n",
      " 24  organizations_with_linked_issues         0 non-null      object\n",
      " 25  organizations_with_new_positions_today   0 non-null      object\n",
      " 26  organizations_with_positions             0 non-null      object\n",
      " 27  visitors_today                           205 non-null    int64 \n",
      " 28  visitors_total                           205 non-null    int64 \n",
      " 29  voter_guide_entrants_today               0 non-null      object\n",
      " 30  voter_guides_viewed_today                205 non-null    int64 \n",
      " 31  voter_guides_viewed_total                205 non-null    int64 \n",
      " 32  welcome_page_entrants_today              0 non-null      object\n",
      "dtypes: int64(11), object(22)\n",
      "memory usage: 53.0+ KB\n"
     ]
    }
   ],
   "source": [
    "df.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.plotly.v1+json": {
       "config": {
        "plotlyServerURL": "https://plot.ly"
       },
       "data": [
        {
         "hovertemplate": "Date=%{x}<br>Authenticated Visitors=%{y}<extra></extra>",
         "legendgroup": "",
         "line": {
          "color": "#636efa",
          "dash": "solid"
         },
         "mode": "lines",
         "name": "",
         "orientation": "v",
         "showlegend": false,
         "type": "scatter",
         "x": [
          "2020-07-27T00:00:00",
          "2020-07-26T00:00:00",
          "2020-07-25T00:00:00",
          "2020-07-24T00:00:00",
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     "metadata": {},
     "output_type": "display_data"
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   ],
   "source": [
    "#Authenticated Visitors today\n",
    "import plotly.express as px\n",
    "df['date_as_integer']=pd.to_datetime(df['date_as_integer'].astype(str), format='%Y/%m/%d ')\n",
    "\n",
    "authenticated_visitors_today_data=df[['date_as_integer','authenticated_visitors_today']]\n",
    "\n",
    "fig=px.line(authenticated_visitors_today_data, x='date_as_integer', y='authenticated_visitors_today',labels={\n",
    "                     \"date_as_integer\": \"Date\",\n",
    "                     \"authenticated_visitors_today\": \"Authenticated Visitors\"\n",
    "                 })\n",
    "fig.update_xaxes(rangeslider_visible=True)\n",
    "fig.update_layout(\n",
    "    title=\"Authenticated Visitors\"\n",
    ") \n",
    "\n",
    "fig.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
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     "metadata": {},
     "output_type": "display_data"
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   ],
   "source": [
    "#Authenticated Visitors total\n",
    "import plotly.express as px\n",
    "df['date_as_integer']=pd.to_datetime(df['date_as_integer'].astype(str), format='%Y/%m/%d ')\n",
    "\n",
    "authenticated_visitors_total_data=df[['date_as_integer','authenticated_visitors_total']]\n",
    "\n",
    "fig=px.line(authenticated_visitors_total_data, x='date_as_integer', y='authenticated_visitors_total',labels={\n",
    "                     \"date_as_integer\": \"Date\",\n",
    "                     \"authenticated_visitors_total\": \"Authenticated Visitors\"\n",
    "                 })\n",
    "fig.update_xaxes(rangeslider_visible=True)\n",
    "fig.update_layout(\n",
    "    title=\"Authenticated Visitors Total\"\n",
    ") \n",
    "\n",
    "fig.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
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     "output_type": "display_data"
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   ],
   "source": [
    "#Ballot views today\n",
    "import plotly.express as px\n",
    "df['date_as_integer']=pd.to_datetime(df['date_as_integer'].astype(str), format='%Y/%m/%d ')\n",
    "\n",
    "ballot_views_data=df[['date_as_integer','ballot_views_today']]\n",
    "\n",
    "fig=px.line(ballot_views_data, x='date_as_integer', y='ballot_views_today',labels={\n",
    "                     \"date_as_integer\": \"Date\",\n",
    "                     \"ballot_views_today\": \"Ballot Views\"\n",
    "                 })\n",
    "fig.update_xaxes(rangeslider_visible=True)\n",
    "fig.update_layout(\n",
    "    title=\"Ballot Views\"\n",
    ")\n",
    "\n",
    "fig.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
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       "                        {\"responsive\": true}\n",
       "                    ).then(function(){\n",
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       "            console.log([gd, 'removed!']);\n",
       "            Plotly.purge(gd);\n",
       "            observer.disconnect();\n",
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       "\n",
       "// Listen for the removal of the full notebook cells\n",
       "var notebookContainer = gd.closest('#notebook-container');\n",
       "if (notebookContainer) {{\n",
       "    x.observe(notebookContainer, {childList: true});\n",
       "}}\n",
       "\n",
       "// Listen for the clearing of the current output cell\n",
       "var outputEl = gd.closest('.output');\n",
       "if (outputEl) {{\n",
       "    x.observe(outputEl, {childList: true});\n",
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       "\n",
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       "                };\n",
       "                });\n",
       "            </script>\n",
       "        </div>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Issue followed Total\n",
    "import plotly.express as px\n",
    "df['date_as_integer']=pd.to_datetime(df['date_as_integer'].astype(str), format='%Y/%m/%d ')\n",
    "\n",
    "issues_followed_total_data=df[['date_as_integer','issues_followed_total']]\n",
    "\n",
    "fig=px.line(issues_followed_total_data, x='date_as_integer', y='issues_followed_total',labels={\n",
    "                     \"date_as_integer\": \"Date\",\n",
    "                     \"issues_followed_total\": \"Issues followed Total\"\n",
    "                 })\n",
    "fig.update_xaxes(rangeslider_visible=True)\n",
    "fig.update_layout(\n",
    "    title=\"Issues followed total\"\n",
    ")\n",
    "\n",
    "fig.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
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       "                        {\"responsive\": true}\n",
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      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#visitors_today\n",
    "import plotly.express as px\n",
    "df['date_as_integer']=pd.to_datetime(df['date_as_integer'].astype(str), format='%Y/%m/%d ')\n",
    "\n",
    "visitors_today_data=df[['date_as_integer','visitors_today']]\n",
    "\n",
    "fig=px.line(visitors_today_data, x='date_as_integer', y='visitors_today',labels={\n",
    "                     \"date_as_integer\": \"Date\",\n",
    "                     \"visitors_today\": \"Visitors Today\"\n",
    "                 })\n",
    "fig.update_xaxes(rangeslider_visible=True)\n",
    "fig.update_layout(\n",
    "    title=\"Visitors Today\"\n",
    ")\n",
    "\n",
    "fig.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.plotly.v1+json": {
       "config": {
        "plotlyServerURL": "https://plot.ly"
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       "data": [
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         "line": {
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         "mode": "lines",
         "name": "",
         "orientation": "v",
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       "            observer.disconnect();\n",
       "        }}\n",
       "}});\n",
       "\n",
       "// Listen for the removal of the full notebook cells\n",
       "var notebookContainer = gd.closest('#notebook-container');\n",
       "if (notebookContainer) {{\n",
       "    x.observe(notebookContainer, {childList: true});\n",
       "}}\n",
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       "// Listen for the clearing of the current output cell\n",
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       "    x.observe(outputEl, {childList: true});\n",
       "}}\n",
       "\n",
       "                        })\n",
       "                };\n",
       "                });\n",
       "            </script>\n",
       "        </div>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#visitors_total\n",
    "import plotly.express as px\n",
    "df['date_as_integer']=pd.to_datetime(df['date_as_integer'].astype(str), format='%Y/%m/%d ')\n",
    "\n",
    "visitors_total_data=df[['date_as_integer','visitors_total']]\n",
    "\n",
    "fig=px.line(visitors_total_data, x='date_as_integer', y='visitors_total',labels={\n",
    "                     \"date_as_integer\": \"Date\",\n",
    "                     \"visitors_total\": \"Visitors Total\"\n",
    "                 })\n",
    "fig.update_xaxes(rangeslider_visible=True)\n",
    "fig.update_layout(\n",
    "    title=\"Visitors Total\"\n",
    ")\n",
    "\n",
    "fig.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
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       "config": {
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     "metadata": {},
     "output_type": "display_data"
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   ],
   "source": [
    "#voter guides viewed today\n",
    "import plotly.express as px\n",
    "df['date_as_integer']=pd.to_datetime(df['date_as_integer'].astype(str), format='%Y/%m/%d ')\n",
    "\n",
    "voter_guides_viewed_today_data=df[['date_as_integer','voter_guides_viewed_today']]\n",
    "\n",
    "fig=px.line(voter_guides_viewed_today_data, x='date_as_integer', y='voter_guides_viewed_today',labels={\n",
    "                     \"date_as_integer\": \"Date\",\n",
    "                     \"voter_guides_viewed_today\": \"voter guides viewed today\"\n",
    "                 })\n",
    "fig.update_xaxes(rangeslider_visible=True)\n",
    "fig.update_layout(\n",
    "    title=\"voter guides viewed today\"\n",
    ")\n",
    "\n",
    "fig.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
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   ],
   "source": [
    "#voter guides viewed total\n",
    "import plotly.express as px\n",
    "df['date_as_integer']=pd.to_datetime(df['date_as_integer'].astype(str), format='%Y/%m/%d ')\n",
    "\n",
    "voter_guides_viewed_total_data=df[['date_as_integer','voter_guides_viewed_total']]\n",
    "\n",
    "fig=px.line(voter_guides_viewed_total_data, x='date_as_integer', y='voter_guides_viewed_total',labels={\n",
    "                     \"date_as_integer\": \"Date\",\n",
    "                     \"voter_guides_viewed_total\": \"voter guides viewed total\"\n",
    "                 })\n",
    "fig.update_xaxes(rangeslider_visible=True)\n",
    "fig.update_layout(\n",
    "    title=\"voter guides viewed total\"\n",
    ")\n",
    "\n",
    "fig.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
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   "source": [
    "#Visitors Graph\n",
    "df_long=pd.melt(df, id_vars=['date_as_integer'], value_vars=['authenticated_visitors_today','ballot_views_today', 'visitors_today', 'voter_guides_viewed_today'])\n",
    "fig = px.line(df_long, x='date_as_integer', y='value', color='variable')\n",
    "fig.update_xaxes(rangeslider_visible=True)\n",
    "\n",
    "fig.update_layout(\n",
    "    title=\"Number of visitors every month\",\n",
    "    xaxis_title=\"Date\",\n",
    "    yaxis_title=\"Count of visitors\"\n",
    ")\n",
    "fig.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
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     "metadata": {},
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   ],
   "source": [
    "#Line graph for Issue followed vs. Visitors total\n",
    "df_long=pd.melt(df, id_vars=['date_as_integer'], value_vars=['issues_followed_total', 'visitors_total'])\n",
    "fig = px.line(df_long, x='date_as_integer', y='value', color='variable')\n",
    "fig.update_xaxes(rangeslider_visible=True)\n",
    "\n",
    "fig.update_layout(\n",
    "    title=\"Total visitors every month\",\n",
    "    xaxis_title=\"Date\",\n",
    "    yaxis_title=\"Count of visitors\"\n",
    ")\n",
    "fig.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 81,
   "metadata": {},
   "outputs": [
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   "source": [
    "#Authenticated Visitors Total vs. Voter guides viwed total\n",
    "df_long=pd.melt(df, id_vars=['date_as_integer'], value_vars=['authenticated_visitors_total', 'voter_guides_viewed_total'])\n",
    "fig = px.line(df_long, x='date_as_integer', y='value', color='variable')\n",
    "fig.update_xaxes(rangeslider_visible=True)\n",
    "\n",
    "fig.update_layout(\n",
    "    title=\"Total visitors every month\",\n",
    "    xaxis_title=\"Date\",\n",
    "    yaxis_title=\"Count of visitors\"\n",
    ")\n",
    "fig.show()"
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