{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "750d4607",
   "metadata": {},
   "source": [
    "# AHT team IP info feature analysis\n",
    "__Jennifer Wang, Staff Data Scientist, Wikimedia Foundation__  \n",
    "\n",
    "\n",
    "September 2022"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "89e42f58",
   "metadata": {},
   "source": [
    "[Analysis ticket](https://phabricator.wikimedia.org/T313340) |  [Instrument spec]( \n",
    "https://docs.google.com/spreadsheets/d/16S5fqAEDz3A-Lu0rvtkiIgyeP_00ZX8qjz6GhH9fIlk/edit?usp=sharing)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fc17fa69",
   "metadata": {},
   "source": [
    "# Table of Contents\n",
    "1. [Introduction](#Introduction)  \n",
    "2. [Is the information surfaced in IP Info useful?](#Is-the-information-surfaced-in-IP-Info-useful?)\n",
    "3. [What is the usage of the popup on the different pages where it is exposed?](#What-is-the-usage-of-the-popup-on-the-different-pages-where-it-is-exposed?)\n",
    "4. [Do people understand the information being shown?](#Do-people-understand-the-information-being-shown?)\n",
    "5. [Who is the information shown most to?](#Who-is-the-information-shown-most-to?)\n",
    "6. [Opt-in / opt-out](#Opt-in-/-opt-out)\n",
    "7. [Other interesting findings](#Other-interesting-findings)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d2b106cc",
   "metadata": {},
   "source": [
    "# Introduction\n",
    "\n",
    "AHT team launched the IP info feature. This feature is to make it easier for admins, anti-vandal fighters and power users to access information about IP addresses. More details can be found on the [project page](https://meta.wikimedia.org/wiki/IP_Editing:_Privacy_Enhancement_and_Abuse_Mitigation/IP_Info_feature).  \n",
    "\n",
    "Analysis measured the enrollment and the usage of IP info on all wiki projects to answer the question listed in [T313340](https://phabricator.wikimedia.org/T313340)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 269,
   "id": "9eebe501",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "    <form action=\"javascript:code_toggle()\">\n",
       "        <input\n",
       "          id=\"code_toggle\"\n",
       "          type=\"submit\"\n",
       "          value=\"Hide code\"\n",
       "          style=\"font-size: 1.4em\"\n",
       "        >\n",
       "    </form>\n",
       "\n",
       "    <script>\n",
       "    code_shown = true;\n",
       "\n",
       "    function code_toggle() {\n",
       "        if (code_shown) {\n",
       "            $('div.input, div.output_prompt').hide();\n",
       "            $('#code_toggle').attr(\"value\", \"Show code\");\n",
       "\n",
       "        } else {\n",
       "            $('div.input, div.output_pr').show();\n",
       "            $('#code_toggle').attr(\"value\", \"Hide code\");\n",
       "        }\n",
       "\n",
       "        code_shown = !code_shown\n",
       "    }\n",
       "\n",
       "    $(document).ready(code_toggle);\n",
       "    </script>\n",
       "    "
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import wmfdata\n",
    "wmfdata.utils.insert_code_toggle()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 270,
   "id": "34e35dbe",
   "metadata": {},
   "outputs": [],
   "source": [
    "from wmfdata import hive\n",
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "aeb41f2a",
   "metadata": {},
   "outputs": [],
   "source": [
    "%matplotlib inline\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "74081802",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6484c42f",
   "metadata": {},
   "source": [
    "# Is the information surfaced in IP Info useful?\n",
    "\n",
    "Measurement is only for popups because we cannot measure accordion. Reason: Accordion is expanded or collapsed based on its previous status. Users can access IP info without clicking the accordion. Meanwhile, users visit the \"User contributions\" page for two possible purposes: to view the IP info, or to view the contributions. We cannot measure the accordion by the number of visits to the \"User contributions\" page.\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f6219b38",
   "metadata": {},
   "source": [
    "__IP info popup__  \n",
    "<img src=\"Figures/IP_info_popup_on_page.png\" width=\"400\" height=\"300\" align=\"center\"/>    \n",
    "__IP info accordion__  \n",
    "<img src=\"Figures/IP_info_accordion.png\" width=\"400\" height=\"300\" align=\"center\"/>"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "301d9e5e",
   "metadata": {},
   "source": [
    "## Is the tool being used/accessed for the popup? "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 96,
   "id": "bc49db20",
   "metadata": {},
   "outputs": [],
   "source": [
    "query =  '''\n",
    "SELECT TO_DATE(meta.dt) AS y_m_d , count(1) AS ipinfo_popup\n",
    "FROM event.mediawiki_ipinfo_interaction\n",
    "WHERE year=2022 \n",
    "AND event_action =\"open_popup\"\n",
    "AND event_context =\"page\"\n",
    "AND normalized_host.project NOT IN ('test', 'test2')\n",
    "GROUP BY TO_DATE(meta.dt)\n",
    "ORDER BY y_m_d\n",
    "LIMIT 100000\n",
    "'''"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 97,
   "id": "c15be3e7",
   "metadata": {},
   "outputs": [],
   "source": [
    "df = hive.run(query)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 98,
   "id": "50e1a647",
   "metadata": {},
   "outputs": [],
   "source": [
    "df.loc[:, 'y_m_d']=pd.to_datetime(df['y_m_d']).copy()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 100,
   "id": "34af6940",
   "metadata": {},
   "outputs": [],
   "source": [
    "df['rolling_avg'] = df['ipinfo_popup'].rolling(window=7).mean().round(0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "id": "c6fe9935",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "xlabel='Date'\n",
    "ylabel='Number of IP info window popups'\n",
    "title=\"Daily IP info window popups on page\"\n",
    "fig = plt.figure(facecolor='w', figsize=(16, 6))\n",
    "\n",
    "ax = fig.add_subplot(111)\n",
    "#fcst_t = df['y_m_d'].dt.to_pydatetime()\n",
    "ax.plot(df['y_m_d'].dt.to_pydatetime(), df['ipinfo_popup'], 'k-', label='Actual')\n",
    "ax.plot(df['y_m_d'].dt.to_pydatetime(), df['rolling_avg'],'r-', label='Rolling average')\n",
    "\n",
    "ax.grid(True, which='major', c='gray', ls='-', lw=1, alpha=0.2)\n",
    "ax.set_xlabel(xlabel, fontsize = 16, family='serif')\n",
    "ax.set_ylabel(ylabel, fontsize = 16, family='serif')\n",
    "ax.set_title(title,fontweight=\"bold\",fontsize = 20, family='serif', y=1.08)\n",
    "\n",
    "\n",
    "ax.legend(loc='upper right')\n",
    "fig.tight_layout()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "10a7d28c",
   "metadata": {},
   "outputs": [],
   "source": [
    "plt.savefig(\"Figures_out/1_popup.png\", facecolor='white', transparent=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "bf83baa6",
   "metadata": {},
   "source": [
    "__Average__ "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "id": "ff78582e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "104.86"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['ipinfo_popup'].mean().round(2)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2906d07c",
   "metadata": {},
   "source": [
    "__Median__. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "1d832b68",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "99.0"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.percentile(df['ipinfo_popup'], 50)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3f249560",
   "metadata": {},
   "source": [
    "__Note__   \n",
    "Between 2022-05-25 and 2022-08-22, IP info popup was used 105 daily in average cross all wikis"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d2f920e1",
   "metadata": {},
   "source": [
    "### Top 5 wikis"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 102,
   "id": "16255273",
   "metadata": {},
   "outputs": [],
   "source": [
    "query_popup_wiki ='''\n",
    "SELECT concat(normalized_host.project, '.', normalized_host.project_class), count(1) AS popups, \n",
    "min(meta.dt) AS start_date, max(meta.dt) AS end_date \n",
    "FROM event.mediawiki_ipinfo_interaction\n",
    "WHERE year=2022\n",
    "AND event_action ='open_popup'\n",
    "AND event_context ='page'\n",
    "AND normalized_host.project NOT IN ('test', 'test2')\n",
    "GROUP BY concat(normalized_host.project, '.', normalized_host.project_class)\n",
    "ORDER BY popups DESC\n",
    "LIMIT 100000\n",
    "'''"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 103,
   "id": "59e767f2",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_wiki = hive.run(query_popup_wiki )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 104,
   "id": "f7320698",
   "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>_c0</th>\n",
       "      <th>popups</th>\n",
       "      <th>start_date</th>\n",
       "      <th>end_date</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>en.wikipedia</td>\n",
       "      <td>2470</td>\n",
       "      <td>2022-05-27T00:14:43.407Z</td>\n",
       "      <td>2022-08-25T01:55:01.297Z</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>ru.wikipedia</td>\n",
       "      <td>984</td>\n",
       "      <td>2022-05-27T12:57:33.379Z</td>\n",
       "      <td>2022-08-25T00:18:08.299Z</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>zh.wikipedia</td>\n",
       "      <td>675</td>\n",
       "      <td>2022-05-27T03:52:07.786Z</td>\n",
       "      <td>2022-08-25T01:26:03.277Z</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>fr.wikipedia</td>\n",
       "      <td>666</td>\n",
       "      <td>2022-05-31T00:22:49.244Z</td>\n",
       "      <td>2022-08-24T15:25:20.716Z</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>es.wikipedia</td>\n",
       "      <td>587</td>\n",
       "      <td>2022-05-29T13:09:26.563Z</td>\n",
       "      <td>2022-08-24T20:11:48.328Z</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>91</th>\n",
       "      <td>zh.wikivoyage</td>\n",
       "      <td>1</td>\n",
       "      <td>2022-07-17T13:31:26.748Z</td>\n",
       "      <td>2022-07-17T13:31:26.748Z</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>92</th>\n",
       "      <td>ja.wiktionary</td>\n",
       "      <td>1</td>\n",
       "      <td>2022-06-13T07:18:53.005Z</td>\n",
       "      <td>2022-06-13T07:18:53.005Z</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>93</th>\n",
       "      <td>lt.wikipedia</td>\n",
       "      <td>1</td>\n",
       "      <td>2022-07-13T20:56:21.755Z</td>\n",
       "      <td>2022-07-13T20:56:21.755Z</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>94</th>\n",
       "      <td>fr.wikiversity</td>\n",
       "      <td>1</td>\n",
       "      <td>2022-07-25T20:37:27.970Z</td>\n",
       "      <td>2022-07-25T20:37:27.970Z</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>95</th>\n",
       "      <td>outreach.wikimedia</td>\n",
       "      <td>1</td>\n",
       "      <td>2022-06-02T13:22:47.520Z</td>\n",
       "      <td>2022-06-02T13:22:47.520Z</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>96 rows × 4 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                   _c0  popups                start_date  \\\n",
       "0         en.wikipedia    2470  2022-05-27T00:14:43.407Z   \n",
       "1         ru.wikipedia     984  2022-05-27T12:57:33.379Z   \n",
       "2         zh.wikipedia     675  2022-05-27T03:52:07.786Z   \n",
       "3         fr.wikipedia     666  2022-05-31T00:22:49.244Z   \n",
       "4         es.wikipedia     587  2022-05-29T13:09:26.563Z   \n",
       "..                 ...     ...                       ...   \n",
       "91       zh.wikivoyage       1  2022-07-17T13:31:26.748Z   \n",
       "92       ja.wiktionary       1  2022-06-13T07:18:53.005Z   \n",
       "93        lt.wikipedia       1  2022-07-13T20:56:21.755Z   \n",
       "94      fr.wikiversity       1  2022-07-25T20:37:27.970Z   \n",
       "95  outreach.wikimedia       1  2022-06-02T13:22:47.520Z   \n",
       "\n",
       "                    end_date  \n",
       "0   2022-08-25T01:55:01.297Z  \n",
       "1   2022-08-25T00:18:08.299Z  \n",
       "2   2022-08-25T01:26:03.277Z  \n",
       "3   2022-08-24T15:25:20.716Z  \n",
       "4   2022-08-24T20:11:48.328Z  \n",
       "..                       ...  \n",
       "91  2022-07-17T13:31:26.748Z  \n",
       "92  2022-06-13T07:18:53.005Z  \n",
       "93  2022-07-13T20:56:21.755Z  \n",
       "94  2022-07-25T20:37:27.970Z  \n",
       "95  2022-06-02T13:22:47.520Z  \n",
       "\n",
       "[96 rows x 4 columns]"
      ]
     },
     "execution_count": 104,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_wiki"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "15bc6f4d",
   "metadata": {},
   "source": [
    "__Note__   \n",
    " - Between 2022-05-27 and 2022-08-25, IP info popup has been used on 95 wiki projects.\n",
    " - Top 5 wikis which mostly used IP info are: en.wikipedia, ru.wikipedia, zh.wikipedia, fr.wikipedia, es.wikipedia\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "3909d4e5",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "id": "9b1a6d36",
   "metadata": {},
   "source": [
    "## How often is the accordion expanded/collapsed?\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "11f11c4e",
   "metadata": {},
   "source": [
    "__IP info accordion collapsed__  \n",
    "<img src=\"Figures/IP_info_accordion.png\" width=\"400\" height=\"300\" align=\"center\"/>"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c8e7ee1a",
   "metadata": {},
   "source": [
    "__IP info accordion expanded__  \n",
    "<img src=\"Figures/IP_info_accordion_expanded.png\" width=\"400\" height=\"300\" align=\"center\"/>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 107,
   "id": "92e99811",
   "metadata": {},
   "outputs": [],
   "source": [
    "query_accordion ='''\n",
    "SELECT TO_DATE(meta.dt) AS y_m_d ,event_action ,  count(1) AS counts\n",
    "FROM event.mediawiki_ipinfo_interaction\n",
    "WHERE year=2022 \n",
    "AND event_context =\"infobox\"\n",
    "AND event_action IN ('collapse','expand')\n",
    "AND normalized_host.project NOT IN ('test', 'test2')\n",
    "GROUP BY TO_DATE(meta.dt), event_action\n",
    "ORDER BY y_m_d\n",
    "LIMIT 100000\n",
    "'''"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 108,
   "id": "d567764e",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_accordion =hive.run(query_accordion)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 109,
   "id": "49079a7e",
   "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>y_m_d</th>\n",
       "      <th>event_action</th>\n",
       "      <th>counts</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2022-05-27</td>\n",
       "      <td>expand</td>\n",
       "      <td>137</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2022-05-27</td>\n",
       "      <td>collapse</td>\n",
       "      <td>64</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2022-05-28</td>\n",
       "      <td>expand</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2022-05-28</td>\n",
       "      <td>collapse</td>\n",
       "      <td>80</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2022-05-29</td>\n",
       "      <td>expand</td>\n",
       "      <td>90</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>177</th>\n",
       "      <td>2022-08-23</td>\n",
       "      <td>collapse</td>\n",
       "      <td>57</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>178</th>\n",
       "      <td>2022-08-24</td>\n",
       "      <td>collapse</td>\n",
       "      <td>64</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>179</th>\n",
       "      <td>2022-08-24</td>\n",
       "      <td>expand</td>\n",
       "      <td>79</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>180</th>\n",
       "      <td>2022-08-25</td>\n",
       "      <td>collapse</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>181</th>\n",
       "      <td>2022-08-25</td>\n",
       "      <td>expand</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>182 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "          y_m_d event_action  counts\n",
       "0    2022-05-27       expand     137\n",
       "1    2022-05-27     collapse      64\n",
       "2    2022-05-28       expand     100\n",
       "3    2022-05-28     collapse      80\n",
       "4    2022-05-29       expand      90\n",
       "..          ...          ...     ...\n",
       "177  2022-08-23     collapse      57\n",
       "178  2022-08-24     collapse      64\n",
       "179  2022-08-24       expand      79\n",
       "180  2022-08-25     collapse       2\n",
       "181  2022-08-25       expand       3\n",
       "\n",
       "[182 rows x 3 columns]"
      ]
     },
     "execution_count": 109,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_accordion"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 110,
   "id": "efcae278",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_accordion.loc[:, 'y_m_d']=pd.to_datetime(df_accordion['y_m_d']).copy()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 125,
   "id": "7bb48818",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "xlabel='Date'\n",
    "ylabel='Number of IP info accordion expansions and collapses'\n",
    "title=\"Daily IP info accordion expansions and collapses\"\n",
    "df_e=df_accordion[df_accordion.event_action=='expand'][:-1]\n",
    "df_c=df_accordion[df_accordion.event_action=='collapse'][:-1]\n",
    "fig = plt.figure(facecolor='w', figsize=(16, 6))\n",
    "\n",
    "ax = fig.add_subplot(111)\n",
    "#fcst_t = df['y_m_d'].dt.to_pydatetime()\n",
    "ax.plot(df_e['y_m_d'].dt.to_pydatetime(), df_e['counts'], 'g-', label='Expansions')\n",
    "ax.plot(df_c['y_m_d'].dt.to_pydatetime(), df_c['counts'],'b-', label='Collapses')\n",
    "\n",
    "ax.grid(True, which='major', c='gray', ls='-', lw=1, alpha=0.2)\n",
    "ax.set_xlabel(xlabel, fontsize = 16, family='serif')\n",
    "ax.set_ylabel(ylabel, fontsize = 16, family='serif')\n",
    "ax.set_title(title,fontweight=\"bold\",fontsize = 20, family='serif', y=1.08)\n",
    "\n",
    "\n",
    "ax.legend(loc='upper right')\n",
    "fig.tight_layout()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "916caa49",
   "metadata": {},
   "source": [
    "__Note__. \n",
    "\n",
    "- The number of clicks to expand is relatively higher than the number of clicks to collapse. \n",
    "- The trends of expansions and collapses are correlated well. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "0c4f10de",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "id": "a6877b32",
   "metadata": {},
   "source": [
    "## How often is the accordion opened *after* the popup was opened?\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "171d9fa2",
   "metadata": {},
   "source": [
    "User flow: Click on any place of the popup leads to contribution page with the accordion \n",
    "<img src=\"Figures/IP_info_popup_on_page_click.png\" width=\"400\" height=\"300\" align=\"center\"/>  "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3e8b6b9f",
   "metadata": {},
   "source": [
    "Click rate of the link on popup to open the accordion(Special:Contribs page) = # of clicks on the link on popup to open the accordion/ # of clicks on \"i\" icon by the IP to popup \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 112,
   "id": "8925b919",
   "metadata": {},
   "outputs": [],
   "source": [
    "query_click_rate =  '''\n",
    "WITH t_i AS\n",
    "(SELECT \n",
    "concat(normalized_host.project, '.', normalized_host.project_class) AS wiki, \n",
    "count(1) AS ipinfo_popups\n",
    "FROM event.mediawiki_ipinfo_interaction\n",
    "WHERE year=2022 \n",
    "AND event_action =\"open_popup\"\n",
    "AND event_context =\"page\"\n",
    "AND normalized_host.project NOT IN ('test', 'test2')\n",
    "GROUP BY \n",
    "concat(normalized_host.project, '.', normalized_host.project_class)\n",
    "),\n",
    "t_c AS\n",
    "(\n",
    "SELECT \n",
    "concat(normalized_host.project, '.', normalized_host.project_class) AS wiki, \n",
    "count(1) AS clicks_on_popup\n",
    "FROM event.mediawiki_ipinfo_interaction\n",
    "WHERE year=2022 \n",
    "AND event_action =\"open_infobox\"\n",
    "AND event_context =\"popup\"\n",
    "AND normalized_host.project NOT IN ('test', 'test2')\n",
    "GROUP BY \n",
    "concat(normalized_host.project, '.', normalized_host.project_class)\n",
    ")\n",
    "SELECT t_i.wiki, t_i.ipinfo_popups, t_c.clicks_on_popup\n",
    "FROM t_i LEFT JOIN t_c ON t_i.wiki=t_c.wiki\n",
    "ORDER BY t_i.ipinfo_popups DESC\n",
    "LIMIT 100000\n",
    "'''\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 113,
   "id": "0344db02",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_click_rate=hive.run(query_click_rate)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 114,
   "id": "ebd4f7dd",
   "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>wiki</th>\n",
       "      <th>ipinfo_popups</th>\n",
       "      <th>clicks_on_popup</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>en.wikipedia</td>\n",
       "      <td>2470</td>\n",
       "      <td>32.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>ru.wikipedia</td>\n",
       "      <td>984</td>\n",
       "      <td>25.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>zh.wikipedia</td>\n",
       "      <td>675</td>\n",
       "      <td>22.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>fr.wikipedia</td>\n",
       "      <td>666</td>\n",
       "      <td>24.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>es.wikipedia</td>\n",
       "      <td>587</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>it.wikipedia</td>\n",
       "      <td>303</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>th.wikipedia</td>\n",
       "      <td>294</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>tr.wikipedia</td>\n",
       "      <td>250</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>commons.wikimedia</td>\n",
       "      <td>203</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>he.wikipedia</td>\n",
       "      <td>200</td>\n",
       "      <td>7.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                wiki  ipinfo_popups  clicks_on_popup\n",
       "0       en.wikipedia           2470             32.0\n",
       "1       ru.wikipedia            984             25.0\n",
       "2       zh.wikipedia            675             22.0\n",
       "3       fr.wikipedia            666             24.0\n",
       "4       es.wikipedia            587              1.0\n",
       "5       it.wikipedia            303              1.0\n",
       "6       th.wikipedia            294              1.0\n",
       "7       tr.wikipedia            250              3.0\n",
       "8  commons.wikimedia            203              1.0\n",
       "9       he.wikipedia            200              7.0"
      ]
     },
     "execution_count": 114,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_click_rate.head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "c661af0f",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_click_rate[np.isnan(df_click_rate.clicks_on_popup)] = 0"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9697bef1",
   "metadata": {},
   "source": [
    "Cilcks/Popups"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 117,
   "id": "a95c0ed4",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.02250466417910448"
      ]
     },
     "execution_count": 117,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_click_rate.clicks_on_popup.sum()/df_click_rate.ipinfo_popups.sum()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0d1b2e56",
   "metadata": {},
   "source": [
    "__Note__  \n",
    "\n",
    "2.3% of IP info popups lead to a click for the accordion. To check with PM.\n",
    "\n",
    "This feature is not obvious to a new user. "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b15c3e31",
   "metadata": {},
   "source": [
    "## How often is limited view shown? How often is full view shown?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 118,
   "id": "f2c65a33",
   "metadata": {},
   "outputs": [],
   "source": [
    "query_version =  '''\n",
    "SELECT TO_DATE(meta.dt) AS y_m_d , event_ipinfo_version, count(1) AS ipinfo_popup\n",
    "FROM event.mediawiki_ipinfo_interaction\n",
    "WHERE year=2022 \n",
    "AND event_action =\"open_popup\"\n",
    "AND event_context =\"page\"\n",
    "AND normalized_host.project NOT IN ('test', 'test2')\n",
    "GROUP BY TO_DATE(meta.dt), event_ipinfo_version\n",
    "ORDER BY y_m_d\n",
    "LIMIT 100000\n",
    "'''"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 119,
   "id": "97c8d33a",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_version=hive.run(query_version)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 120,
   "id": "52606dce",
   "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>y_m_d</th>\n",
       "      <th>event_ipinfo_version</th>\n",
       "      <th>ipinfo_popup</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2022-05-27</td>\n",
       "      <td>full</td>\n",
       "      <td>66</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2022-05-27</td>\n",
       "      <td>basic</td>\n",
       "      <td>139</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2022-05-28</td>\n",
       "      <td>full</td>\n",
       "      <td>52</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2022-05-28</td>\n",
       "      <td>basic</td>\n",
       "      <td>162</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2022-05-29</td>\n",
       "      <td>full</td>\n",
       "      <td>35</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>177</th>\n",
       "      <td>2022-08-23</td>\n",
       "      <td>basic</td>\n",
       "      <td>36</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>178</th>\n",
       "      <td>2022-08-24</td>\n",
       "      <td>basic</td>\n",
       "      <td>55</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>179</th>\n",
       "      <td>2022-08-24</td>\n",
       "      <td>full</td>\n",
       "      <td>51</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>180</th>\n",
       "      <td>2022-08-25</td>\n",
       "      <td>basic</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>181</th>\n",
       "      <td>2022-08-25</td>\n",
       "      <td>full</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>182 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "          y_m_d event_ipinfo_version  ipinfo_popup\n",
       "0    2022-05-27                 full            66\n",
       "1    2022-05-27                basic           139\n",
       "2    2022-05-28                 full            52\n",
       "3    2022-05-28                basic           162\n",
       "4    2022-05-29                 full            35\n",
       "..          ...                  ...           ...\n",
       "177  2022-08-23                basic            36\n",
       "178  2022-08-24                basic            55\n",
       "179  2022-08-24                 full            51\n",
       "180  2022-08-25                basic             1\n",
       "181  2022-08-25                 full             6\n",
       "\n",
       "[182 rows x 3 columns]"
      ]
     },
     "execution_count": 120,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_version"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4809c995",
   "metadata": {},
   "source": [
    "__Total popups__"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 121,
   "id": "77742a44",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "9466"
      ]
     },
     "execution_count": 121,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_version.ipinfo_popup.sum()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "77941c69",
   "metadata": {},
   "source": [
    "__Popups in full verion/total popups__"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 122,
   "id": "97a9790b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.44243768483312207"
      ]
     },
     "execution_count": 122,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_version[df_version.event_ipinfo_version=='full'].ipinfo_popup.sum()/9468"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "368187f7",
   "metadata": {},
   "source": [
    "__Popups in basic version/total popups__"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 123,
   "id": "da80a782",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.5573510773130546"
      ]
     },
     "execution_count": 123,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_version[df_version.event_ipinfo_version=='basic'].ipinfo_popup.sum()/9468"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b297bd34",
   "metadata": {},
   "source": [
    "__Note__  \n",
    "\n",
    "Between 2022-05-27 and 2022-08-25, 44% popups show full version, 56% popups show basic version\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7f75d79a",
   "metadata": {},
   "source": [
    "# What is the usage of the popup on the different pages where it is exposed?\n",
    "IP info feature was enabled on following four types of pages:   \n",
    "__1.revision action history page__  \n",
    "<img src=\"Figures/IP_info_popup_on_page.png\" width=\"400\" height=\"300\" align=\"center\"/>  \n",
    "<br /> \n",
    "__2.Special:Log page__  \n",
    "<img src=\"Figures/special_log.png\" width=\"400\" height=\"300\" align=\"center\"/>  \n",
    "<br /> \n",
    "__3.Special:RecentChanges page__  \n",
    "<img src=\"Figures/special_recentchanges.png\" width=\"400\" height=\"300\" align=\"center\"/>  \n",
    "<br /> \n",
    "__4.Special:watchlist page__  \n",
    "<img src=\"Figures/special_watchlist.png\" width=\"400\" height=\"300\" align=\"center\"/>  \n",
    "<br /> \n",
    "Note: Special:Contributions : do not have show popups. It's expected.    \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 126,
   "id": "a9d7914f",
   "metadata": {},
   "outputs": [],
   "source": [
    "query_source =  '''\n",
    "SELECT TO_DATE(meta.dt) AS y_m_d ,event_source, count(1) AS ipinfo_popup\n",
    "FROM event.mediawiki_ipinfo_interaction\n",
    "WHERE year=2022 \n",
    "AND event_action =\"open_popup\"\n",
    "AND event_context =\"page\"\n",
    "AND normalized_host.project NOT IN ('test', 'test2')\n",
    "GROUP BY TO_DATE(meta.dt),event_source\n",
    "ORDER BY y_m_d\n",
    "LIMIT 100000\n",
    "'''"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 127,
   "id": "4de6a547",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_source =hive.run(query_source)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 132,
   "id": "38d5062a",
   "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>y_m_d</th>\n",
       "      <th>event_source</th>\n",
       "      <th>ipinfo_popup</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2022-05-27</td>\n",
       "      <td>special_recentchanges</td>\n",
       "      <td>52</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2022-05-27</td>\n",
       "      <td>action_history</td>\n",
       "      <td>96</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2022-05-27</td>\n",
       "      <td>special_watchlist</td>\n",
       "      <td>51</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2022-05-27</td>\n",
       "      <td>special_log</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2022-05-28</td>\n",
       "      <td>action_history</td>\n",
       "      <td>137</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>342</th>\n",
       "      <td>2022-08-24</td>\n",
       "      <td>action_history</td>\n",
       "      <td>48</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>343</th>\n",
       "      <td>2022-08-25</td>\n",
       "      <td>action_history</td>\n",
       "      <td>54</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>344</th>\n",
       "      <td>2022-08-25</td>\n",
       "      <td>special_log</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>345</th>\n",
       "      <td>2022-08-25</td>\n",
       "      <td>special_recentchanges</td>\n",
       "      <td>26</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>346</th>\n",
       "      <td>2022-08-25</td>\n",
       "      <td>special_watchlist</td>\n",
       "      <td>36</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>347 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "         y_m_d           event_source  ipinfo_popup\n",
       "0   2022-05-27  special_recentchanges            52\n",
       "1   2022-05-27         action_history            96\n",
       "2   2022-05-27      special_watchlist            51\n",
       "3   2022-05-27            special_log             6\n",
       "4   2022-05-28         action_history           137\n",
       "..         ...                    ...           ...\n",
       "342 2022-08-24         action_history            48\n",
       "343 2022-08-25         action_history            54\n",
       "344 2022-08-25            special_log             3\n",
       "345 2022-08-25  special_recentchanges            26\n",
       "346 2022-08-25      special_watchlist            36\n",
       "\n",
       "[347 rows x 3 columns]"
      ]
     },
     "execution_count": 132,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_source.loc[:, 'y_m_d']=pd.to_datetime(df_source['y_m_d']).copy()\n",
    "df_source"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 144,
   "id": "71e4d3ad",
   "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>y_m_d</th>\n",
       "      <th>event_source</th>\n",
       "      <th>ipinfo_popup</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Empty DataFrame\n",
       "Columns: [y_m_d, event_source, ipinfo_popup]\n",
       "Index: []"
      ]
     },
     "execution_count": 144,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_source[df_source.event_source=='special_contributions'][:-1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 134,
   "id": "9b6ae730",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "xlabel='Date'\n",
    "ylabel='Number of IP info popups'\n",
    "title=\"Daily IP info popups by page types\"\n",
    "df_l=df_source[df_source.event_source=='special_log'][:-1]\n",
    "df_r=df_source[df_source.event_source=='special_recentchanges'][:-1]\n",
    "df_h=df_source[df_source.event_source=='action_history'][:-1]\n",
    "df_w=df_source[df_source.event_source=='special_watchlist'][:-1]\n",
    "\n",
    "fig = plt.figure(facecolor='w', figsize=(16, 6))\n",
    "\n",
    "ax = fig.add_subplot(111)\n",
    "#fcst_t = df['y_m_d'].dt.to_pydatetime()\n",
    "ax.plot(df_l['y_m_d'].dt.to_pydatetime(), df_l['ipinfo_popup'], 'g-', label='special:log')\n",
    "ax.plot(df_r['y_m_d'].dt.to_pydatetime(), df_r['ipinfo_popup'],'b-', label='special:recent changes')\n",
    "ax.plot(df_h['y_m_d'].dt.to_pydatetime(), df_h['ipinfo_popup'], 'y-', label='action history')\n",
    "ax.plot(df_w['y_m_d'].dt.to_pydatetime(), df_w['ipinfo_popup'],'r-', label='special:watchlist')\n",
    "\n",
    "ax.grid(True, which='major', c='gray', ls='-', lw=1, alpha=0.2)\n",
    "ax.set_xlabel(xlabel, fontsize = 16, family='serif')\n",
    "ax.set_ylabel(ylabel, fontsize = 16, family='serif')\n",
    "ax.set_title(title,fontweight=\"bold\",fontsize = 20, family='serif', y=1.08)\n",
    "\n",
    "\n",
    "ax.legend(loc='upper right')\n",
    "fig.tight_layout()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 139,
   "id": "25d8f8f7",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_sum=df_source.groupby('event_source').sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 140,
   "id": "5db3ef87",
   "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>ipinfo_popup</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>event_source</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>action_history</th>\n",
       "      <td>4939</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>special_log</th>\n",
       "      <td>260</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>special_recentchanges</th>\n",
       "      <td>2371</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>special_watchlist</th>\n",
       "      <td>2008</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                       ipinfo_popup\n",
       "event_source                       \n",
       "action_history                 4939\n",
       "special_log                     260\n",
       "special_recentchanges          2371\n",
       "special_watchlist              2008"
      ]
     },
     "execution_count": 140,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_sum"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 141,
   "id": "fa292ce1",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "9578"
      ]
     },
     "execution_count": 141,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_source.ipinfo_popup.sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 142,
   "id": "bc83dd59",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_sum['share_in_pct']=round(df_sum['ipinfo_popup']/df_source.ipinfo_popup.sum(),4) *100"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 143,
   "id": "78ad542e",
   "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>ipinfo_popup</th>\n",
       "      <th>share_in_pct</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>event_source</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>action_history</th>\n",
       "      <td>4939</td>\n",
       "      <td>51.57</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>special_log</th>\n",
       "      <td>260</td>\n",
       "      <td>2.71</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>special_recentchanges</th>\n",
       "      <td>2371</td>\n",
       "      <td>24.75</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>special_watchlist</th>\n",
       "      <td>2008</td>\n",
       "      <td>20.96</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                       ipinfo_popup  share_in_pct\n",
       "event_source                                     \n",
       "action_history                 4939         51.57\n",
       "special_log                     260          2.71\n",
       "special_recentchanges          2371         24.75\n",
       "special_watchlist              2008         20.96"
      ]
     },
     "execution_count": 143,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_sum"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "49e8061e",
   "metadata": {},
   "source": [
    "__Note__ \n",
    "\n",
    "Between 2022-05-27 and 2022-08-25,   \n",
    "- 51.57% popups are from action_history page.\n",
    "- 24.75% popups are from special:recentchanges pages.\n",
    "- 20.96% popups are from special:watchlist pages. \n",
    "- Only 2.71% popups are from special:log pages."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "358e1147",
   "metadata": {},
   "source": [
    "# Do people understand the information being shown?\n",
    "Is the \"help\" for the information accessed by users?\n",
    "<img src=\"Figures/IP_info_accordion_expanded.png\" width=\"400\" height=\"300\" align=\"center\"/>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 148,
   "id": "d2f2afcb",
   "metadata": {},
   "outputs": [],
   "source": [
    "query_help =  '''\n",
    "SELECT TO_DATE(meta.dt) AS y_m_d , event_action, count(1) AS clicks\n",
    "FROM event.mediawiki_ipinfo_interaction\n",
    "WHERE year=2022 \n",
    "AND event_action LIKE 'click_help%'\n",
    "AND event_context = 'infobox'\n",
    "AND normalized_host.project NOT IN ('test', 'test2')\n",
    "GROUP BY TO_DATE(meta.dt), event_action\n",
    "ORDER BY y_m_d\n",
    "LIMIT 100000\n",
    "'''"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 149,
   "id": "a6793e11",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_help = hive.run(query_help)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 152,
   "id": "e253547c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "    }\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>y_m_d</th>\n",
       "      <th>event_action</th>\n",
       "      <th>clicks</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2022-05-28</td>\n",
       "      <td>click_help_proxy</td>\n",
       "      <td>13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2022-05-28</td>\n",
       "      <td>click_help_connection_method</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2022-05-28</td>\n",
       "      <td>click_help_connection_owner</td>\n",
       "      <td>16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2022-05-29</td>\n",
       "      <td>click_help_connection_method</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2022-05-29</td>\n",
       "      <td>click_help_connection_owner</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>250</th>\n",
       "      <td>2022-08-25</td>\n",
       "      <td>click_help_connection_owner</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>251</th>\n",
       "      <td>2022-08-25</td>\n",
       "      <td>click_help_connection_method</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>252</th>\n",
       "      <td>2022-08-26</td>\n",
       "      <td>click_help_connection_method</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>253</th>\n",
       "      <td>2022-08-26</td>\n",
       "      <td>click_help_connection_owner</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>254</th>\n",
       "      <td>2022-08-26</td>\n",
       "      <td>click_help_proxy</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>255 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "         y_m_d                  event_action  clicks\n",
       "0   2022-05-28              click_help_proxy      13\n",
       "1   2022-05-28  click_help_connection_method       8\n",
       "2   2022-05-28   click_help_connection_owner      16\n",
       "3   2022-05-29  click_help_connection_method       9\n",
       "4   2022-05-29   click_help_connection_owner      14\n",
       "..         ...                           ...     ...\n",
       "250 2022-08-25   click_help_connection_owner       4\n",
       "251 2022-08-25  click_help_connection_method       5\n",
       "252 2022-08-26  click_help_connection_method       1\n",
       "253 2022-08-26   click_help_connection_owner       2\n",
       "254 2022-08-26              click_help_proxy       1\n",
       "\n",
       "[255 rows x 3 columns]"
      ]
     },
     "execution_count": 152,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_help.loc[:, 'y_m_d']=pd.to_datetime(df_help['y_m_d']).copy()\n",
    "df_help"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 153,
   "id": "e246554e",
   "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>y_m_d</th>\n",
       "      <th>event_action</th>\n",
       "      <th>clicks</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2022-05-28</td>\n",
       "      <td>click_help_proxy</td>\n",
       "      <td>13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2022-05-28</td>\n",
       "      <td>click_help_connection_method</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2022-05-28</td>\n",
       "      <td>click_help_connection_owner</td>\n",
       "      <td>16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2022-05-29</td>\n",
       "      <td>click_help_connection_method</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2022-05-29</td>\n",
       "      <td>click_help_connection_owner</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>250</th>\n",
       "      <td>2022-08-25</td>\n",
       "      <td>click_help_connection_owner</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>251</th>\n",
       "      <td>2022-08-25</td>\n",
       "      <td>click_help_connection_method</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>252</th>\n",
       "      <td>2022-08-26</td>\n",
       "      <td>click_help_connection_method</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>253</th>\n",
       "      <td>2022-08-26</td>\n",
       "      <td>click_help_connection_owner</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>254</th>\n",
       "      <td>2022-08-26</td>\n",
       "      <td>click_help_proxy</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>255 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "         y_m_d                  event_action  clicks\n",
       "0   2022-05-28              click_help_proxy      13\n",
       "1   2022-05-28  click_help_connection_method       8\n",
       "2   2022-05-28   click_help_connection_owner      16\n",
       "3   2022-05-29  click_help_connection_method       9\n",
       "4   2022-05-29   click_help_connection_owner      14\n",
       "..         ...                           ...     ...\n",
       "250 2022-08-25   click_help_connection_owner       4\n",
       "251 2022-08-25  click_help_connection_method       5\n",
       "252 2022-08-26  click_help_connection_method       1\n",
       "253 2022-08-26   click_help_connection_owner       2\n",
       "254 2022-08-26              click_help_proxy       1\n",
       "\n",
       "[255 rows x 3 columns]"
      ]
     },
     "execution_count": 153,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_help"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 155,
   "id": "b89e9302",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "xlabel='Date'\n",
    "ylabel='Number of help clicks'\n",
    "title=\"Daily help clicks by types of informatin\"\n",
    "df_p=df_help[df_help.event_action=='click_help_proxy'][:-1]\n",
    "df_m=df_help[df_help.event_action=='click_help_connection_method'][:-1]\n",
    "df_o=df_help[df_help.event_action=='click_help_connection_owner'][:-1]\n",
    "\n",
    "\n",
    "fig = plt.figure(facecolor='w', figsize=(16, 6))\n",
    "\n",
    "ax = fig.add_subplot(111)\n",
    "#fcst_t = df['y_m_d'].dt.to_pydatetime()\n",
    "ax.plot(df_p['y_m_d'].dt.to_pydatetime(), df_p['clicks'], 'g-', label='help of proxy')\n",
    "ax.plot(df_m['y_m_d'].dt.to_pydatetime(), df_m['clicks'],'b-', label='help of connection method')\n",
    "ax.plot(df_o['y_m_d'].dt.to_pydatetime(), df_o['clicks'], 'r-', label='help of connection owner')\n",
    "\n",
    "\n",
    "ax.grid(True, which='major', c='gray', ls='-', lw=1, alpha=0.2)\n",
    "ax.set_xlabel(xlabel, fontsize = 16, family='serif')\n",
    "ax.set_ylabel(ylabel, fontsize = 16, family='serif')\n",
    "ax.set_title(title,fontweight=\"bold\",fontsize = 20, family='serif', y=1.08)\n",
    "\n",
    "\n",
    "ax.legend(loc='upper right')\n",
    "fig.tight_layout()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 156,
   "id": "faa58266",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_help_sum=df_help.groupby('event_action').sum()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6803d857",
   "metadata": {},
   "source": [
    "__Total clicks on help 'i'__"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "42694347",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_help_sum['share_in_pct']=round(df_help_sum['clicks']/df_help.clicks.sum(),4) *100"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 159,
   "id": "558c4937",
   "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>clicks</th>\n",
       "      <th>share_in_pct</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>event_action</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>click_help_connection_method</th>\n",
       "      <td>315</td>\n",
       "      <td>29.72</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>click_help_connection_owner</th>\n",
       "      <td>406</td>\n",
       "      <td>38.30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>click_help_proxy</th>\n",
       "      <td>339</td>\n",
       "      <td>31.98</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                              clicks  share_in_pct\n",
       "event_action                                      \n",
       "click_help_connection_method     315         29.72\n",
       "click_help_connection_owner      406         38.30\n",
       "click_help_proxy                 339         31.98"
      ]
     },
     "execution_count": 159,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_help_sum"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "39549cbc",
   "metadata": {},
   "source": [
    "__Note__.   \n",
    "Between 2022-5-28 and 2022-8-26, \n",
    "- Help of connection_owner is mostly clicked. 38.3% of chicks on help are for the info pf connection owner\n",
    "- Connection method and proxy are equally popular. \n",
    "- Help of ASN was not tracked in current instrumentation. To check with AHT team\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "28c508d3",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "id": "d0fe8382",
   "metadata": {},
   "source": [
    "# Who is the information shown most to?\n",
    "This can help us assess if we can limit the exposure of the tool. We can measure the edit count bucket for users who are using this tool (while anonymizing their ID). The account age was not captured in data instrumentation. "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "18e75c50",
   "metadata": {},
   "source": [
    "## IP info popup"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 179,
   "id": "1c455eeb",
   "metadata": {},
   "outputs": [],
   "source": [
    "query_popup_edit_bucket =  '''\n",
    "SELECT user_edit_bucket, count(1) AS ipinfo_popup\n",
    "FROM event.mediawiki_ipinfo_interaction\n",
    "WHERE year=2022 \n",
    "AND event_action =\"open_popup\"\n",
    "AND event_context =\"page\"\n",
    "AND normalized_host.project NOT IN ('test', 'test2')\n",
    "GROUP BY user_edit_bucket\n",
    "ORDER BY ipinfo_popup DESC\n",
    "LIMIT 100000\n",
    "'''"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 180,
   "id": "d0842029",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_popup_edit_bucket =hive.run(query_popup_edit_bucket)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 181,
   "id": "314c22a2",
   "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>user_edit_bucket</th>\n",
       "      <th>ipinfo_popup</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1000+ edits</td>\n",
       "      <td>8915</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>100-999 edits</td>\n",
       "      <td>619</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>5-99 edits</td>\n",
       "      <td>118</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0 edits</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1-4 edits</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  user_edit_bucket  ipinfo_popup\n",
       "0      1000+ edits          8915\n",
       "1    100-999 edits           619\n",
       "2       5-99 edits           118\n",
       "3          0 edits             3\n",
       "4        1-4 edits             3"
      ]
     },
     "execution_count": 181,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_popup_edit_bucket"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4c754747",
   "metadata": {},
   "source": [
    "## IP info accordion"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 165,
   "id": "cc3684ff",
   "metadata": {},
   "outputs": [],
   "source": [
    "query_accordion_edit_bucket ='''\n",
    "SELECT user_edit_bucket,   count(1) AS counts\n",
    "FROM event.mediawiki_ipinfo_interaction\n",
    "WHERE year=2022 \n",
    "AND event_context =\"infobox\"\n",
    "AND event_action IN ('collapse','expand')\n",
    "AND normalized_host.project NOT IN ('test', 'test2')\n",
    "GROUP BY  user_edit_bucket\n",
    "ORDER BY counts DESC\n",
    "LIMIT 100000\n",
    "'''"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 166,
   "id": "babce02f",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_accordion_edit_bucket =hive.run(query_accordion_edit_bucket)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 167,
   "id": "a6f89fb7",
   "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>user_edit_bucket</th>\n",
       "      <th>counts</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1000+ edits</td>\n",
       "      <td>9475</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>100-999 edits</td>\n",
       "      <td>773</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>5-99 edits</td>\n",
       "      <td>204</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1-4 edits</td>\n",
       "      <td>37</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0 edits</td>\n",
       "      <td>31</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  user_edit_bucket  counts\n",
       "0      1000+ edits    9475\n",
       "1    100-999 edits     773\n",
       "2       5-99 edits     204\n",
       "3        1-4 edits      37\n",
       "4          0 edits      31"
      ]
     },
     "execution_count": 167,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_accordion_edit_bucket"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "525fcc3d",
   "metadata": {},
   "source": [
    "__Note:__  \n",
    "    \n",
    "IP info is mostly used by experienced editors who had more than 1000 edits."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "80c80854",
   "metadata": {},
   "source": [
    "# Opt-in / opt-out\n",
    "__Opt-in on user contributions page__  \n",
    "<img src=\"Figures/enable_contributions_page.png\" width=\"400\" height=\"300\" align=\"center\"/>  \n",
    "<br />\n",
    "__Opt-in or opt-out on preference page__  \n",
    "<img src=\"Figures/enable_pref_page.png\" width=\"400\" height=\"300\" align=\"center\"/>  \n",
    "<br />\n",
    "## Activation/Deactivation rate for the feature\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2e118188",
   "metadata": {},
   "source": [
    "### Activation rate for the feature"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 257,
   "id": "d2179644",
   "metadata": {},
   "outputs": [],
   "source": [
    "query_enable = '''\n",
    "SELECT  event_source,event_action , count(1) AS events,\n",
    "min(meta.dt) AS start_date, max(meta.dt) AS end_date\n",
    "FROM event.mediawiki_ipinfo_interaction\n",
    "WHERE year=2022 \n",
    "AND event_action IN (\"init_disclaimer\" ,\"accept_disclaimer\",\"close_disclaimer\", \"uncheck_iagree\", \n",
    "                       \"enable_ipinfo\" ,\"disable_ipinfo\"  )\n",
    "AND normalized_host.project NOT IN ('test', 'test2')\n",
    "GROUP BY event_source,event_action \n",
    "\n",
    "'''"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 258,
   "id": "89d8b3e8",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_enable=hive.run(query_enable)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 259,
   "id": "c72cf2af",
   "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>event_source</th>\n",
       "      <th>event_action</th>\n",
       "      <th>events</th>\n",
       "      <th>start_date</th>\n",
       "      <th>end_date</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>special_contributions</td>\n",
       "      <td>accept_disclaimer</td>\n",
       "      <td>523</td>\n",
       "      <td>2022-06-03T15:49:17.154Z</td>\n",
       "      <td>2022-09-01T11:43:21.823Z</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>special_contributions</td>\n",
       "      <td>close_disclaimer</td>\n",
       "      <td>2137</td>\n",
       "      <td>2022-06-03T13:31:01.985Z</td>\n",
       "      <td>2022-09-01T12:39:26.928Z</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>special_contributions</td>\n",
       "      <td>init_disclaimer</td>\n",
       "      <td>2620</td>\n",
       "      <td>2022-06-03T13:04:35.303Z</td>\n",
       "      <td>2022-09-01T12:59:26.527Z</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>special_preferences</td>\n",
       "      <td>accept_disclaimer</td>\n",
       "      <td>2221</td>\n",
       "      <td>2022-06-03T13:22:58.879Z</td>\n",
       "      <td>2022-09-01T12:55:24.256Z</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>special_preferences</td>\n",
       "      <td>disable_ipinfo</td>\n",
       "      <td>369</td>\n",
       "      <td>2022-06-03T18:40:44.722Z</td>\n",
       "      <td>2022-09-01T00:19:45.544Z</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>special_preferences</td>\n",
       "      <td>enable_ipinfo</td>\n",
       "      <td>2225</td>\n",
       "      <td>2022-06-03T13:22:58.884Z</td>\n",
       "      <td>2022-09-01T12:55:24.268Z</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>special_preferences</td>\n",
       "      <td>uncheck_iagree</td>\n",
       "      <td>363</td>\n",
       "      <td>2022-06-03T18:40:44.717Z</td>\n",
       "      <td>2022-09-01T00:19:45.540Z</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            event_source       event_action  events                start_date  \\\n",
       "0  special_contributions  accept_disclaimer     523  2022-06-03T15:49:17.154Z   \n",
       "1  special_contributions   close_disclaimer    2137  2022-06-03T13:31:01.985Z   \n",
       "2  special_contributions    init_disclaimer    2620  2022-06-03T13:04:35.303Z   \n",
       "3    special_preferences  accept_disclaimer    2221  2022-06-03T13:22:58.879Z   \n",
       "4    special_preferences     disable_ipinfo     369  2022-06-03T18:40:44.722Z   \n",
       "5    special_preferences      enable_ipinfo    2225  2022-06-03T13:22:58.884Z   \n",
       "6    special_preferences     uncheck_iagree     363  2022-06-03T18:40:44.717Z   \n",
       "\n",
       "                   end_date  \n",
       "0  2022-09-01T11:43:21.823Z  \n",
       "1  2022-09-01T12:39:26.928Z  \n",
       "2  2022-09-01T12:59:26.527Z  \n",
       "3  2022-09-01T12:55:24.256Z  \n",
       "4  2022-09-01T00:19:45.544Z  \n",
       "5  2022-09-01T12:55:24.268Z  \n",
       "6  2022-09-01T00:19:45.540Z  "
      ]
     },
     "execution_count": 259,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_enable"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3bf1de1f",
   "metadata": {},
   "source": [
    "### Activate rate\n",
    "#### Definition1:  number of times users clicked \"enable IP info tool\"/ number of times users see the disclaimer"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 261,
   "id": "4470d951",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.8492366412213741"
      ]
     },
     "execution_count": 261,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "2225/2620"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4165adde",
   "metadata": {},
   "source": [
    "__Note__.   \n",
    "Activation rate is 84.9%\n",
    "\n",
    "Need to check with PM and engineer about what kind of events are recorded with key  `event_source=special_preferences & event_action=enable_ipinfo`  , from contribution page or from the preference page (above picture), or from both. If it's `both`, the activation rate using definition1 is over-counted and not accurate."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a8b554c5",
   "metadata": {},
   "source": [
    "#### Definition2: number of times users accept disclaimer / number of times the disclaimer shown"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 262,
   "id": "1c50145b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.19961832061068702"
      ]
     },
     "execution_count": 262,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "523/2620"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "106e4f85",
   "metadata": {},
   "source": [
    "__Note__   \n",
    "Activation rate is 20% under definition2"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b6b66573",
   "metadata": {},
   "source": [
    "### Deactivate rate\n",
    "Definition: number of times users disabled \"IP info tool\" / number of times users enabled \"IP info tool\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 235,
   "id": "4e3befce",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.15851108322877458"
      ]
     },
     "execution_count": 235,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "379/2391"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "da4e55ed",
   "metadata": {},
   "source": [
    "__Note__. \n",
    "\n",
    "Deactivate rate is 15.6% "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1fb9ce98",
   "metadata": {},
   "source": [
    "## How many times do people see the disclaimer? How many times do people accept the terms of the disclaimer? How many times do people churn away?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 245,
   "id": "2c6a00a4",
   "metadata": {},
   "outputs": [],
   "source": [
    "query_disclaimer = '''\n",
    "SELECT  event_source,event_action , count(1) AS events, min(meta.dt) AS start_date, max(meta.dt) AS end_date \n",
    "FROM event.mediawiki_ipinfo_interaction\n",
    "WHERE year=2022 \n",
    "AND event_action IN (\"init_disclaimer\" ,\"accept_disclaimer\",\"close_disclaimer\"  )\n",
    "AND normalized_host.project NOT IN ('test', 'test2')\n",
    "GROUP BY event_source,event_action \n",
    "'''"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 211,
   "id": "e1470bed",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_disclaimer =hive.run(query_disclaimer)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 213,
   "id": "de510b15",
   "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>event_source</th>\n",
       "      <th>event_action</th>\n",
       "      <th>events</th>\n",
       "      <th>start_date</th>\n",
       "      <th>end_date</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>special_contributions</td>\n",
       "      <td>accept_disclaimer</td>\n",
       "      <td>607</td>\n",
       "      <td>2022-05-31T00:29:32.625Z</td>\n",
       "      <td>2022-09-01T00:19:39.740Z</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>special_contributions</td>\n",
       "      <td>close_disclaimer</td>\n",
       "      <td>2194</td>\n",
       "      <td>2022-05-31T00:41:44.487Z</td>\n",
       "      <td>2022-09-01T01:36:21.863Z</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>special_contributions</td>\n",
       "      <td>init_disclaimer</td>\n",
       "      <td>2756</td>\n",
       "      <td>2022-05-31T00:27:18.137Z</td>\n",
       "      <td>2022-09-01T01:36:21.841Z</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>special_preferences</td>\n",
       "      <td>accept_disclaimer</td>\n",
       "      <td>2387</td>\n",
       "      <td>2022-05-31T00:01:10.979Z</td>\n",
       "      <td>2022-09-01T00:19:22.511Z</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            event_source       event_action  events                start_date  \\\n",
       "0  special_contributions  accept_disclaimer     607  2022-05-31T00:29:32.625Z   \n",
       "1  special_contributions   close_disclaimer    2194  2022-05-31T00:41:44.487Z   \n",
       "2  special_contributions    init_disclaimer    2756  2022-05-31T00:27:18.137Z   \n",
       "3    special_preferences  accept_disclaimer    2387  2022-05-31T00:01:10.979Z   \n",
       "\n",
       "                   end_date  \n",
       "0  2022-09-01T00:19:39.740Z  \n",
       "1  2022-09-01T01:36:21.863Z  \n",
       "2  2022-09-01T01:36:21.841Z  \n",
       "3  2022-09-01T00:19:22.511Z  "
      ]
     },
     "execution_count": 213,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_disclaimer "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "23cf080e",
   "metadata": {},
   "source": [
    "__Acceptance rate__"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 233,
   "id": "329c12b5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.2202467343976778"
      ]
     },
     "execution_count": 233,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Accept rate\n",
    "607/2756\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "20524b78",
   "metadata": {},
   "source": [
    "__Churn rate__ "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 234,
   "id": "d64be411",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.7960812772133526"
      ]
     },
     "execution_count": 234,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#churn rate\n",
    "2194/2756"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f0fe2f86",
   "metadata": {},
   "source": [
    "accept_disclaimer + close_disclaimer"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 230,
   "id": "e5145235",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "2801"
      ]
     },
     "execution_count": 230,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "607+2194"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b754862c",
   "metadata": {},
   "source": [
    "? On special contribution page\n",
    "\n",
    "accept_disclaimer + close_disclaimer > init_disclaimer"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "475e9894",
   "metadata": {},
   "source": [
    "__Note__ \n",
    "\n",
    "Between 2022-05-31 and 2022-09-01   \n",
    "__On Special contribution page:__   \n",
    "The disclaimer showed 2753 times.  \n",
    "The disclaimer was accepted 607 times, acceptance rate 22%.   \n",
    "2194 times, people churn away by closing the disclaimer without any clicks, churn rate 80%.  \n",
    "\n",
    "On special contribution page, accept_disclaimer + close_disclaimer > init_disclaimer.   Possible reason:1)User might click accept disclaimer multiple times after one initialization ; 2) Current calculation is an estimation. For the users who accept disclaimer, if their initial events are beyond 90 days, the initial events are not available in schema any more. Same for accepting events. For the users who have seen the disclaimer and have not accepted yet, only initial_disclaimer events are available in the schema. We don't track user ID or session ID, therefore, we cannot connect the user's journey by any identity. (see below exploration) \n",
    "\n",
    "__On preference page:__   \n",
    "The disclaimer was accepted 2387 times.\n",
    "\n",
    "To check with the PM and engineer about no initial events on the preference page.\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "85021d9a",
   "metadata": {},
   "source": [
    "__Exploration__   \n",
    "Below query doesn't return any events because meta.id is not session id. We don't record user ID or session id in schema. Therefore, we don’t have any identity to connect the user's journey."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 254,
   "id": "7fbce3c8",
   "metadata": {},
   "outputs": [],
   "source": [
    "query_disclaimer_2 = '''\n",
    "SELECT   t1.meta.id, t1.meta.dt AS init_ds, t2.event_action,  t2.meta.dt AS action_ds\n",
    "FROM event.mediawiki_ipinfo_interaction AS t1\n",
    "LEFT JOIN event.mediawiki_ipinfo_interaction AS t2 \n",
    "ON t1.meta.id=t2.meta.id \n",
    "AND t1.normalized_host.project=t2.normalized_host.project \n",
    "AND t1.normalized_host.project_class=t2.normalized_host.project_class\n",
    "--AND t1.meta.dt < t2.meta.dt\n",
    "AND t1.year=t2.year\n",
    "WHERE t1.year=2022 \n",
    "AND t1.event_action=\"init_disclaimer\" AND t2.event_action IN (\"accept_disclaimer\",\"close_disclaimer\")\n",
    "AND t1.normalized_host.project NOT IN ('test', 'test2')\n",
    "'''"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 255,
   "id": "8e46c397",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_disclaimer_2=hive.run(query_disclaimer_2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 256,
   "id": "33ee2403",
   "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>id</th>\n",
       "      <th>init_ds</th>\n",
       "      <th>event_action</th>\n",
       "      <th>action_ds</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Empty DataFrame\n",
       "Columns: [id, init_ds, event_action, action_ds]\n",
       "Index: []"
      ]
     },
     "execution_count": 256,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_disclaimer_2"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "cc37a135",
   "metadata": {},
   "source": [
    "# Other interesting findings"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "934d9170",
   "metadata": {},
   "source": [
    "## How often the IP address was copied?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 240,
   "id": "e5e9f2d6",
   "metadata": {},
   "outputs": [],
   "source": [
    "query_copy= '''\n",
    "SELECT event_action, event_context, event_source, count(1) AS events\n",
    "FROM event.mediawiki_ipinfo_interaction\n",
    "WHERE year=2022 AND normalized_host.project NOT IN ('test', 'test2')\n",
    "AND event_action='copy'\n",
    "AND event_context='ip_address'\n",
    "GROUP BY event_action, event_context, event_source\n",
    "'''"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 241,
   "id": "2aa10453",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_copy = hive.run(query_copy)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 242,
   "id": "4e408585",
   "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>event_action</th>\n",
       "      <th>event_context</th>\n",
       "      <th>event_source</th>\n",
       "      <th>events</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>copy</td>\n",
       "      <td>ip_address</td>\n",
       "      <td>action_history</td>\n",
       "      <td>431</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>copy</td>\n",
       "      <td>ip_address</td>\n",
       "      <td>special_contributions</td>\n",
       "      <td>4139</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>copy</td>\n",
       "      <td>ip_address</td>\n",
       "      <td>special_log</td>\n",
       "      <td>37</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>copy</td>\n",
       "      <td>ip_address</td>\n",
       "      <td>special_recentchanges</td>\n",
       "      <td>258</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>copy</td>\n",
       "      <td>ip_address</td>\n",
       "      <td>special_watchlist</td>\n",
       "      <td>65</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  event_action event_context           event_source  events\n",
       "0         copy    ip_address         action_history     431\n",
       "1         copy    ip_address  special_contributions    4139\n",
       "2         copy    ip_address            special_log      37\n",
       "3         copy    ip_address  special_recentchanges     258\n",
       "4         copy    ip_address      special_watchlist      65"
      ]
     },
     "execution_count": 242,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_copy"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 249,
   "id": "9cc4ee9a",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_copy['share_in_pct']=round(df_copy['events']/df_copy.events.sum(),4) *100"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 250,
   "id": "d921b812",
   "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>event_action</th>\n",
       "      <th>event_context</th>\n",
       "      <th>event_source</th>\n",
       "      <th>events</th>\n",
       "      <th>share_in_pct</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>copy</td>\n",
       "      <td>ip_address</td>\n",
       "      <td>action_history</td>\n",
       "      <td>431</td>\n",
       "      <td>8.74</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>copy</td>\n",
       "      <td>ip_address</td>\n",
       "      <td>special_contributions</td>\n",
       "      <td>4139</td>\n",
       "      <td>83.96</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>copy</td>\n",
       "      <td>ip_address</td>\n",
       "      <td>special_log</td>\n",
       "      <td>37</td>\n",
       "      <td>0.75</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>copy</td>\n",
       "      <td>ip_address</td>\n",
       "      <td>special_recentchanges</td>\n",
       "      <td>258</td>\n",
       "      <td>5.23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>copy</td>\n",
       "      <td>ip_address</td>\n",
       "      <td>special_watchlist</td>\n",
       "      <td>65</td>\n",
       "      <td>1.32</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  event_action event_context           event_source  events  share_in_pct\n",
       "0         copy    ip_address         action_history     431          8.74\n",
       "1         copy    ip_address  special_contributions    4139         83.96\n",
       "2         copy    ip_address            special_log      37          0.75\n",
       "3         copy    ip_address  special_recentchanges     258          5.23\n",
       "4         copy    ip_address      special_watchlist      65          1.32"
      ]
     },
     "execution_count": 250,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_copy"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c6cfd135",
   "metadata": {},
   "source": [
    "__Note__. \n",
    "\n",
    "Bewteen 2022-05-31 and 2022-09-01\n",
    "\n",
    "84% of IP copy events are from special contributions pages.  \n",
    "8.74% of IP copy events are from revision action history pages.  \n",
    "5.23% of IP copy events are from special recentchanges pages.  \n",
    "1.32% of IP copy events are from special watchlist pages.  \n",
    "Only 0.75% of IP copy events are from specal log pages.  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "7d80cd4e",
   "metadata": {},
   "outputs": [],
   "source": []
  }
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