{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Baseline revert rate for newcomers on desktop\n",
    "\n",
    "Task: [T259196](https://phabricator.wikimedia.org/T259196)\n",
    "\n",
    "We are curious to learn the percentage of edits that are reverted on desktop that meeting the following conditions:\n",
    "\n",
    "- Edits made on desktop web\n",
    "- Edits made using the visual editor or the wikitext editor\n",
    "- Edits made by people (read: not bots)\n",
    "- Edits made by people who are logged out or who have made 0 cumulative edits\n",
    "- Edits made to a Wikipedia content namespace\n",
    "- Edits that are reverted within 48 hours of being made\n",
    "\n",
    "Revert Rate: The proportion of non-bot edits made during a month which were reverted within 48 hours."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "shhh <- function(expr) suppressPackageStartupMessages(suppressWarnings(suppressMessages(expr)))\n",
    "shhh({\n",
    "    library(tidyverse);library(lubridate) \n",
    "})"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Notes: \n",
    "- Data comes from mediawiki_history table. I reviewed the past two years of data from 2018-07-01 to 2020-07-01.\n",
    "- The event_user_revision count is the number of revisions made by the event_user including the recorded event itself so there should never be a 0 recorded for this field. I filtered to event_user_revision count =1 to include all first time editors. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "query <- \"\n",
    "SELECT\n",
    "     to_date(event_timestamp) AS date,\n",
    "     sum(cast(\n",
    "            revision_is_identity_reverted AND \n",
    "            revision_seconds_to_identity_revert <= 172800 AND -- 48 hours\n",
    "            array_contains(revision_tags, 'visualeditor') AS int)) AS num_ve_reverts,\n",
    "     sum(cast(array_contains(revision_tags, 'visualeditor') AS int)) AS num_ve_edits,\n",
    "     sum(cast(\n",
    "            revision_is_identity_reverted AND \n",
    "            revision_seconds_to_identity_revert <= 172800 AND -- Edits that are reverted within 48 hours of being made\n",
    "            not array_contains(revision_tags, 'visualeditor') AS int)) AS num_wikitext_reverts,\n",
    "    sum(cast(not array_contains(revision_tags, 'visualeditor') AS int)) AS num_wikitext_edits\n",
    "FROM wmf.mediawiki_history mh \n",
    "LEFT JOIN canonical_data.wikis\n",
    "    ON\n",
    "        wiki_db = database_code and\n",
    "        database_group ==  'wikipedia'\n",
    "WHERE \n",
    "    snapshot = '2020-07'\n",
    "    AND event_entity = 'revision'\n",
    "    AND NOT array_contains(revision_tags, 'iOS')\n",
    "    AND NOT array_contains(revision_tags, 'Android')\n",
    "    AND NOT array_contains(revision_tags, 'Mobile Web')\n",
    "    AND page_namespace_is_content_historical = true\n",
    "    AND (event_user_is_anonymous = true OR event_user_revision_count = 1)  -- logged out user or first edit event\n",
    "    AND SIZE(event_user_is_bot_by_historical) = 0 -- hasn't been a bot\n",
    "    AND event_timestamp BETWEEN '2018-07-01' AND '2020-07-01'\n",
    "GROUP BY to_date(event_timestamp)\n",
    "\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "desktop_revert_rate <- wmf::query_hive(query)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table>\n",
       "<caption>A data.frame: 6 × 5</caption>\n",
       "<thead>\n",
       "\t<tr><th></th><th scope=col>date</th><th scope=col>num_ve_reverts</th><th scope=col>num_ve_edits</th><th scope=col>num_wikitext_reverts</th><th scope=col>num_wikitext_edits</th></tr>\n",
       "\t<tr><th></th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;int&gt;</th><th scope=col>&lt;int&gt;</th><th scope=col>&lt;int&gt;</th><th scope=col>&lt;int&gt;</th></tr>\n",
       "</thead>\n",
       "<tbody>\n",
       "\t<tr><th scope=row>1</th><td>2020-01-01</td><td>2428</td><td> 8950</td><td>10444</td><td>49085</td></tr>\n",
       "\t<tr><th scope=row>2</th><td>2020-01-02</td><td>3394</td><td>11763</td><td>12779</td><td>58376</td></tr>\n",
       "\t<tr><th scope=row>3</th><td>2020-01-03</td><td>3174</td><td>11695</td><td>13798</td><td>60352</td></tr>\n",
       "\t<tr><th scope=row>4</th><td>2020-01-04</td><td>3067</td><td>10993</td><td>12546</td><td>57461</td></tr>\n",
       "\t<tr><th scope=row>5</th><td>2020-01-05</td><td>3214</td><td>11345</td><td>13200</td><td>59839</td></tr>\n",
       "\t<tr><th scope=row>6</th><td>2020-01-06</td><td>3876</td><td>12627</td><td>13744</td><td>60262</td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "A data.frame: 6 × 5\n",
       "\\begin{tabular}{r|lllll}\n",
       "  & date & num\\_ve\\_reverts & num\\_ve\\_edits & num\\_wikitext\\_reverts & num\\_wikitext\\_edits\\\\\n",
       "  & <chr> & <int> & <int> & <int> & <int>\\\\\n",
       "\\hline\n",
       "\t1 & 2020-01-01 & 2428 &  8950 & 10444 & 49085\\\\\n",
       "\t2 & 2020-01-02 & 3394 & 11763 & 12779 & 58376\\\\\n",
       "\t3 & 2020-01-03 & 3174 & 11695 & 13798 & 60352\\\\\n",
       "\t4 & 2020-01-04 & 3067 & 10993 & 12546 & 57461\\\\\n",
       "\t5 & 2020-01-05 & 3214 & 11345 & 13200 & 59839\\\\\n",
       "\t6 & 2020-01-06 & 3876 & 12627 & 13744 & 60262\\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "\n",
       "A data.frame: 6 × 5\n",
       "\n",
       "| <!--/--> | date &lt;chr&gt; | num_ve_reverts &lt;int&gt; | num_ve_edits &lt;int&gt; | num_wikitext_reverts &lt;int&gt; | num_wikitext_edits &lt;int&gt; |\n",
       "|---|---|---|---|---|---|\n",
       "| 1 | 2020-01-01 | 2428 |  8950 | 10444 | 49085 |\n",
       "| 2 | 2020-01-02 | 3394 | 11763 | 12779 | 58376 |\n",
       "| 3 | 2020-01-03 | 3174 | 11695 | 13798 | 60352 |\n",
       "| 4 | 2020-01-04 | 3067 | 10993 | 12546 | 57461 |\n",
       "| 5 | 2020-01-05 | 3214 | 11345 | 13200 | 59839 |\n",
       "| 6 | 2020-01-06 | 3876 | 12627 | 13744 | 60262 |\n",
       "\n"
      ],
      "text/plain": [
       "  date       num_ve_reverts num_ve_edits num_wikitext_reverts\n",
       "1 2020-01-01 2428            8950        10444               \n",
       "2 2020-01-02 3394           11763        12779               \n",
       "3 2020-01-03 3174           11695        13798               \n",
       "4 2020-01-04 3067           10993        12546               \n",
       "5 2020-01-05 3214           11345        13200               \n",
       "6 2020-01-06 3876           12627        13744               \n",
       "  num_wikitext_edits\n",
       "1 49085             \n",
       "2 58376             \n",
       "3 60352             \n",
       "4 57461             \n",
       "5 59839             \n",
       "6 60262             "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "head(desktop_revert_rate)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "desktop_revert_rate$date <- as.Date(desktop_revert_rate$date, format = \"%Y-%m-%d\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Overall revert rates for last year"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table>\n",
       "<caption>A data.frame: 1 × 2</caption>\n",
       "<thead>\n",
       "\t<tr><th scope=col>ve_monthly_revert_rate</th><th scope=col>wikitext_monthly_revert_rate</th></tr>\n",
       "\t<tr><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th></tr>\n",
       "</thead>\n",
       "<tbody>\n",
       "\t<tr><td>0.3098156</td><td>0.2385581</td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "A data.frame: 1 × 2\n",
       "\\begin{tabular}{ll}\n",
       " ve\\_monthly\\_revert\\_rate & wikitext\\_monthly\\_revert\\_rate\\\\\n",
       " <dbl> & <dbl>\\\\\n",
       "\\hline\n",
       "\t 0.3098156 & 0.2385581\\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "\n",
       "A data.frame: 1 × 2\n",
       "\n",
       "| ve_monthly_revert_rate &lt;dbl&gt; | wikitext_monthly_revert_rate &lt;dbl&gt; |\n",
       "|---|---|\n",
       "| 0.3098156 | 0.2385581 |\n",
       "\n"
      ],
      "text/plain": [
       "  ve_monthly_revert_rate wikitext_monthly_revert_rate\n",
       "1 0.3098156              0.2385581                   "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "##Calculate overall revert rate for the most recent year\n",
    "desktop_revert_rate_overall <- desktop_revert_rate %>%\n",
    "mutate(date = floor_date(date, \"month\")) %>%\n",
    " filter(date >= '2019-07-01' & date <= '2020-07-01')  %>%\n",
    "  summarise(ve_monthly_revert_rate = sum(num_ve_reverts)/sum(num_ve_edits),\n",
    "           wikitext_monthly_revert_rate = sum(num_wikitext_reverts)/sum(num_wikitext_edits))\n",
    "  \n",
    "\n",
    "desktop_revert_rate_overall\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Visual editor has an average revert rate of 31% and wikitext has an average revert rate of 23.9%. This is similar to the revert rates found "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Monthly revert rate changes by editing interface"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table>\n",
       "<caption>A tibble: 24 × 6</caption>\n",
       "<thead>\n",
       "\t<tr><th scope=col>date</th><th scope=col>ve_monthly_revert_rate</th><th scope=col>wikitext_monthly_revert_rate</th><th scope=col>ve_revert_rate_yoy</th><th scope=col>wikitext_revert_rate_yoy</th><th scope=col>revert_rate_diff</th></tr>\n",
       "\t<tr><th scope=col>&lt;date&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th></tr>\n",
       "</thead>\n",
       "<tbody>\n",
       "\t<tr><td>2018-07-01</td><td>0.2425703</td><td>0.2175273</td><td>          NA</td><td>          NA</td><td>0.02504295</td></tr>\n",
       "\t<tr><td>2018-08-01</td><td>0.2467989</td><td>0.2190919</td><td>          NA</td><td>          NA</td><td>0.02770705</td></tr>\n",
       "\t<tr><td>2018-09-01</td><td>0.3036774</td><td>0.2455003</td><td>          NA</td><td>          NA</td><td>0.05817709</td></tr>\n",
       "\t<tr><td>2018-10-01</td><td>0.3237705</td><td>0.2610159</td><td>          NA</td><td>          NA</td><td>0.06275454</td></tr>\n",
       "\t<tr><td>2018-11-01</td><td>0.3263428</td><td>0.2627746</td><td>          NA</td><td>          NA</td><td>0.06356825</td></tr>\n",
       "\t<tr><td>2018-12-01</td><td>0.3028943</td><td>0.2439331</td><td>          NA</td><td>          NA</td><td>0.05896113</td></tr>\n",
       "\t<tr><td>2019-01-01</td><td>0.3168558</td><td>0.2576286</td><td>          NA</td><td>          NA</td><td>0.05922724</td></tr>\n",
       "\t<tr><td>2019-02-01</td><td>0.3197054</td><td>0.2627341</td><td>          NA</td><td>          NA</td><td>0.05697123</td></tr>\n",
       "\t<tr><td>2019-03-01</td><td>0.3223602</td><td>0.2571270</td><td>          NA</td><td>          NA</td><td>0.06523311</td></tr>\n",
       "\t<tr><td>2019-04-01</td><td>0.3121703</td><td>0.2537011</td><td>          NA</td><td>          NA</td><td>0.05846913</td></tr>\n",
       "\t<tr><td>2019-05-01</td><td>0.3256495</td><td>0.2548386</td><td>          NA</td><td>          NA</td><td>0.07081095</td></tr>\n",
       "\t<tr><td>2019-06-01</td><td>0.2789436</td><td>0.2375514</td><td>          NA</td><td>          NA</td><td>0.04139223</td></tr>\n",
       "\t<tr><td>2019-07-01</td><td>0.2513241</td><td>0.2126919</td><td> 0.036087649</td><td>-0.022228858</td><td>0.03863212</td></tr>\n",
       "\t<tr><td>2019-08-01</td><td>0.2715924</td><td>0.2228552</td><td> 0.100460370</td><td> 0.017176959</td><td>0.04873723</td></tr>\n",
       "\t<tr><td>2019-09-01</td><td>0.3149579</td><td>0.2400464</td><td> 0.037146250</td><td>-0.022215551</td><td>0.07491149</td></tr>\n",
       "\t<tr><td>2019-10-01</td><td>0.3372257</td><td>0.2588937</td><td> 0.041558112</td><td>-0.008130766</td><td>0.07833208</td></tr>\n",
       "\t<tr><td>2019-11-01</td><td>0.3445858</td><td>0.2578600</td><td> 0.055901365</td><td>-0.018702484</td><td>0.08672579</td></tr>\n",
       "\t<tr><td>2019-12-01</td><td>0.3141278</td><td>0.2352455</td><td> 0.037087432</td><td>-0.035614869</td><td>0.07888234</td></tr>\n",
       "\t<tr><td>2020-01-01</td><td>0.3239903</td><td>0.2438539</td><td> 0.022516543</td><td>-0.053467443</td><td>0.08013648</td></tr>\n",
       "\t<tr><td>2020-02-01</td><td>0.3281954</td><td>0.2436604</td><td> 0.026555726</td><td>-0.072597045</td><td>0.08453496</td></tr>\n",
       "\t<tr><td>2020-03-01</td><td>0.3213688</td><td>0.2373398</td><td>-0.003075365</td><td>-0.076955175</td><td>0.08402899</td></tr>\n",
       "\t<tr><td>2020-04-01</td><td>0.3025345</td><td>0.2323393</td><td>-0.030867008</td><td>-0.084200838</td><td>0.07019522</td></tr>\n",
       "\t<tr><td>2020-05-01</td><td>0.3048107</td><td>0.2452891</td><td>-0.063991499</td><td>-0.037472686</td><td>0.05952163</td></tr>\n",
       "\t<tr><td>2020-06-01</td><td>0.2890285</td><td>0.2299526</td><td> 0.036154048</td><td>-0.031988148</td><td>0.05907600</td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "A tibble: 24 × 6\n",
       "\\begin{tabular}{llllll}\n",
       " date & ve\\_monthly\\_revert\\_rate & wikitext\\_monthly\\_revert\\_rate & ve\\_revert\\_rate\\_yoy & wikitext\\_revert\\_rate\\_yoy & revert\\_rate\\_diff\\\\\n",
       " <date> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl>\\\\\n",
       "\\hline\n",
       "\t 2018-07-01 & 0.2425703 & 0.2175273 &           NA &           NA & 0.02504295\\\\\n",
       "\t 2018-08-01 & 0.2467989 & 0.2190919 &           NA &           NA & 0.02770705\\\\\n",
       "\t 2018-09-01 & 0.3036774 & 0.2455003 &           NA &           NA & 0.05817709\\\\\n",
       "\t 2018-10-01 & 0.3237705 & 0.2610159 &           NA &           NA & 0.06275454\\\\\n",
       "\t 2018-11-01 & 0.3263428 & 0.2627746 &           NA &           NA & 0.06356825\\\\\n",
       "\t 2018-12-01 & 0.3028943 & 0.2439331 &           NA &           NA & 0.05896113\\\\\n",
       "\t 2019-01-01 & 0.3168558 & 0.2576286 &           NA &           NA & 0.05922724\\\\\n",
       "\t 2019-02-01 & 0.3197054 & 0.2627341 &           NA &           NA & 0.05697123\\\\\n",
       "\t 2019-03-01 & 0.3223602 & 0.2571270 &           NA &           NA & 0.06523311\\\\\n",
       "\t 2019-04-01 & 0.3121703 & 0.2537011 &           NA &           NA & 0.05846913\\\\\n",
       "\t 2019-05-01 & 0.3256495 & 0.2548386 &           NA &           NA & 0.07081095\\\\\n",
       "\t 2019-06-01 & 0.2789436 & 0.2375514 &           NA &           NA & 0.04139223\\\\\n",
       "\t 2019-07-01 & 0.2513241 & 0.2126919 &  0.036087649 & -0.022228858 & 0.03863212\\\\\n",
       "\t 2019-08-01 & 0.2715924 & 0.2228552 &  0.100460370 &  0.017176959 & 0.04873723\\\\\n",
       "\t 2019-09-01 & 0.3149579 & 0.2400464 &  0.037146250 & -0.022215551 & 0.07491149\\\\\n",
       "\t 2019-10-01 & 0.3372257 & 0.2588937 &  0.041558112 & -0.008130766 & 0.07833208\\\\\n",
       "\t 2019-11-01 & 0.3445858 & 0.2578600 &  0.055901365 & -0.018702484 & 0.08672579\\\\\n",
       "\t 2019-12-01 & 0.3141278 & 0.2352455 &  0.037087432 & -0.035614869 & 0.07888234\\\\\n",
       "\t 2020-01-01 & 0.3239903 & 0.2438539 &  0.022516543 & -0.053467443 & 0.08013648\\\\\n",
       "\t 2020-02-01 & 0.3281954 & 0.2436604 &  0.026555726 & -0.072597045 & 0.08453496\\\\\n",
       "\t 2020-03-01 & 0.3213688 & 0.2373398 & -0.003075365 & -0.076955175 & 0.08402899\\\\\n",
       "\t 2020-04-01 & 0.3025345 & 0.2323393 & -0.030867008 & -0.084200838 & 0.07019522\\\\\n",
       "\t 2020-05-01 & 0.3048107 & 0.2452891 & -0.063991499 & -0.037472686 & 0.05952163\\\\\n",
       "\t 2020-06-01 & 0.2890285 & 0.2299526 &  0.036154048 & -0.031988148 & 0.05907600\\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "\n",
       "A tibble: 24 × 6\n",
       "\n",
       "| date &lt;date&gt; | ve_monthly_revert_rate &lt;dbl&gt; | wikitext_monthly_revert_rate &lt;dbl&gt; | ve_revert_rate_yoy &lt;dbl&gt; | wikitext_revert_rate_yoy &lt;dbl&gt; | revert_rate_diff &lt;dbl&gt; |\n",
       "|---|---|---|---|---|---|\n",
       "| 2018-07-01 | 0.2425703 | 0.2175273 |           NA |           NA | 0.02504295 |\n",
       "| 2018-08-01 | 0.2467989 | 0.2190919 |           NA |           NA | 0.02770705 |\n",
       "| 2018-09-01 | 0.3036774 | 0.2455003 |           NA |           NA | 0.05817709 |\n",
       "| 2018-10-01 | 0.3237705 | 0.2610159 |           NA |           NA | 0.06275454 |\n",
       "| 2018-11-01 | 0.3263428 | 0.2627746 |           NA |           NA | 0.06356825 |\n",
       "| 2018-12-01 | 0.3028943 | 0.2439331 |           NA |           NA | 0.05896113 |\n",
       "| 2019-01-01 | 0.3168558 | 0.2576286 |           NA |           NA | 0.05922724 |\n",
       "| 2019-02-01 | 0.3197054 | 0.2627341 |           NA |           NA | 0.05697123 |\n",
       "| 2019-03-01 | 0.3223602 | 0.2571270 |           NA |           NA | 0.06523311 |\n",
       "| 2019-04-01 | 0.3121703 | 0.2537011 |           NA |           NA | 0.05846913 |\n",
       "| 2019-05-01 | 0.3256495 | 0.2548386 |           NA |           NA | 0.07081095 |\n",
       "| 2019-06-01 | 0.2789436 | 0.2375514 |           NA |           NA | 0.04139223 |\n",
       "| 2019-07-01 | 0.2513241 | 0.2126919 |  0.036087649 | -0.022228858 | 0.03863212 |\n",
       "| 2019-08-01 | 0.2715924 | 0.2228552 |  0.100460370 |  0.017176959 | 0.04873723 |\n",
       "| 2019-09-01 | 0.3149579 | 0.2400464 |  0.037146250 | -0.022215551 | 0.07491149 |\n",
       "| 2019-10-01 | 0.3372257 | 0.2588937 |  0.041558112 | -0.008130766 | 0.07833208 |\n",
       "| 2019-11-01 | 0.3445858 | 0.2578600 |  0.055901365 | -0.018702484 | 0.08672579 |\n",
       "| 2019-12-01 | 0.3141278 | 0.2352455 |  0.037087432 | -0.035614869 | 0.07888234 |\n",
       "| 2020-01-01 | 0.3239903 | 0.2438539 |  0.022516543 | -0.053467443 | 0.08013648 |\n",
       "| 2020-02-01 | 0.3281954 | 0.2436604 |  0.026555726 | -0.072597045 | 0.08453496 |\n",
       "| 2020-03-01 | 0.3213688 | 0.2373398 | -0.003075365 | -0.076955175 | 0.08402899 |\n",
       "| 2020-04-01 | 0.3025345 | 0.2323393 | -0.030867008 | -0.084200838 | 0.07019522 |\n",
       "| 2020-05-01 | 0.3048107 | 0.2452891 | -0.063991499 | -0.037472686 | 0.05952163 |\n",
       "| 2020-06-01 | 0.2890285 | 0.2299526 |  0.036154048 | -0.031988148 | 0.05907600 |\n",
       "\n"
      ],
      "text/plain": [
       "   date       ve_monthly_revert_rate wikitext_monthly_revert_rate\n",
       "1  2018-07-01 0.2425703              0.2175273                   \n",
       "2  2018-08-01 0.2467989              0.2190919                   \n",
       "3  2018-09-01 0.3036774              0.2455003                   \n",
       "4  2018-10-01 0.3237705              0.2610159                   \n",
       "5  2018-11-01 0.3263428              0.2627746                   \n",
       "6  2018-12-01 0.3028943              0.2439331                   \n",
       "7  2019-01-01 0.3168558              0.2576286                   \n",
       "8  2019-02-01 0.3197054              0.2627341                   \n",
       "9  2019-03-01 0.3223602              0.2571270                   \n",
       "10 2019-04-01 0.3121703              0.2537011                   \n",
       "11 2019-05-01 0.3256495              0.2548386                   \n",
       "12 2019-06-01 0.2789436              0.2375514                   \n",
       "13 2019-07-01 0.2513241              0.2126919                   \n",
       "14 2019-08-01 0.2715924              0.2228552                   \n",
       "15 2019-09-01 0.3149579              0.2400464                   \n",
       "16 2019-10-01 0.3372257              0.2588937                   \n",
       "17 2019-11-01 0.3445858              0.2578600                   \n",
       "18 2019-12-01 0.3141278              0.2352455                   \n",
       "19 2020-01-01 0.3239903              0.2438539                   \n",
       "20 2020-02-01 0.3281954              0.2436604                   \n",
       "21 2020-03-01 0.3213688              0.2373398                   \n",
       "22 2020-04-01 0.3025345              0.2323393                   \n",
       "23 2020-05-01 0.3048107              0.2452891                   \n",
       "24 2020-06-01 0.2890285              0.2299526                   \n",
       "   ve_revert_rate_yoy wikitext_revert_rate_yoy revert_rate_diff\n",
       "1            NA                 NA             0.02504295      \n",
       "2            NA                 NA             0.02770705      \n",
       "3            NA                 NA             0.05817709      \n",
       "4            NA                 NA             0.06275454      \n",
       "5            NA                 NA             0.06356825      \n",
       "6            NA                 NA             0.05896113      \n",
       "7            NA                 NA             0.05922724      \n",
       "8            NA                 NA             0.05697123      \n",
       "9            NA                 NA             0.06523311      \n",
       "10           NA                 NA             0.05846913      \n",
       "11           NA                 NA             0.07081095      \n",
       "12           NA                 NA             0.04139223      \n",
       "13  0.036087649       -0.022228858             0.03863212      \n",
       "14  0.100460370        0.017176959             0.04873723      \n",
       "15  0.037146250       -0.022215551             0.07491149      \n",
       "16  0.041558112       -0.008130766             0.07833208      \n",
       "17  0.055901365       -0.018702484             0.08672579      \n",
       "18  0.037087432       -0.035614869             0.07888234      \n",
       "19  0.022516543       -0.053467443             0.08013648      \n",
       "20  0.026555726       -0.072597045             0.08453496      \n",
       "21 -0.003075365       -0.076955175             0.08402899      \n",
       "22 -0.030867008       -0.084200838             0.07019522      \n",
       "23 -0.063991499       -0.037472686             0.05952163      \n",
       "24  0.036154048       -0.031988148             0.05907600      "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "##Calculate monthly revert rate and yoy change\n",
    "desktop_revert_rate_monthly_yoy <- desktop_revert_rate %>%\n",
    "mutate(date = floor_date(date, \"month\")) %>%\n",
    "  group_by(date) %>%\n",
    "  summarise(ve_monthly_revert_rate = sum(num_ve_reverts)/sum(num_ve_edits),\n",
    "           wikitext_monthly_revert_rate = sum(num_wikitext_reverts)/sum(num_wikitext_edits)) %>%\n",
    "  arrange(date) %>%\n",
    "  mutate(ve_revert_rate_yoy = (ve_monthly_revert_rate/lag(ve_monthly_revert_rate,12) -1),\n",
    "        wikitext_revert_rate_yoy = (wikitext_monthly_revert_rate/lag(wikitext_monthly_revert_rate,12) -1),\n",
    "        revert_rate_diff = ve_monthly_revert_rate - wikitext_monthly_revert_rate)\n",
    "\n",
    "desktop_revert_rate_monthly_yoy\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table>\n",
       "<caption>A tibble: 1 × 1</caption>\n",
       "<thead>\n",
       "\t<tr><th scope=col>avg</th></tr>\n",
       "\t<tr><th scope=col>&lt;dbl&gt;</th></tr>\n",
       "</thead>\n",
       "<tbody>\n",
       "\t<tr><td>0.06216788</td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "A tibble: 1 × 1\n",
       "\\begin{tabular}{l}\n",
       " avg\\\\\n",
       " <dbl>\\\\\n",
       "\\hline\n",
       "\t 0.06216788\\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "\n",
       "A tibble: 1 × 1\n",
       "\n",
       "| avg &lt;dbl&gt; |\n",
       "|---|\n",
       "| 0.06216788 |\n",
       "\n"
      ],
      "text/plain": [
       "  avg       \n",
       "1 0.06216788"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "avg_diff = desktop_revert_rate_monthly_yoy %>%\n",
    "    summarise(avg = mean(diff))\n",
    "avg_diff"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "options(repr.plot.width = 10, repr.plot.height = 7)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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QwM5Dju6aefbqgAubm5CoWC47ilS5eazUij0axevXrgwIH+/v7BwcFjxow5fvy4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\nfPhw6XNPS0vLzs4OCgo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4TKCrfHxrWs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LCBMTExMTE7uy5/Dhw4cPH97BDtu3b+/B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\nInYWjkYrff5Kn39jp2uJIsUghBAtPXe/7FCiS5yflXmdJTMGXUMHJEer+X1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YY0j7ock4LyPdyE0EAIBv44cBAIDR7ZIM0ykpKT/df2jT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5hw4dev78eUhICE8bwKiLUvKK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\nUIOrV6+uWrVq5cqVgiVycnJy/Vd2c3Pjb0s4KpUqIiLi/Pnzjx494m677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      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 420,
       "width": 600
      },
      "text/plain": {
       "height": 420,
       "width": 600
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "desktop_revert_rate_monthly_ts_plot <- desktop_revert_rate_monthly_yoy %>%\n",
    "    select(-c(4,5)) %>%  #remove yoy columns\n",
    "    gather(editing_interface, revert_rate, 2:3) %>%\n",
    "    ggplot(aes(x= date, y= revert_rate, color = editing_interface)) +\n",
    "    geom_line(size = 1.5) +\n",
    "    scale_x_date(date_labels = \"%b-%Y\", date_breaks = \"1 month\", minor_breaks = NULL) +\n",
    "    scale_y_continuous(\"Revert Rate\", labels = scales::percent, limits = c(0, 0.40))  +\n",
    "  labs( title = \"Monthly desktop revert rate by editing interface \\n on Wikipedia for anonymous users or first time editors\"\n",
    "  )+\n",
    "    scale_color_discrete(name = \"Editing Interface\", labels = c(\"visual editor\", \"wikitext\")) +\n",
    "    ggthemes::theme_tufte(base_size = 14, base_family = \"Gill Sans\") +\n",
    "   theme(plot.title = element_text(hjust = 0.5),\n",
    "        axis.text.x = element_text(angle = 90),\n",
    "        legend.title = element_blank(),\n",
    "        legend.position = \"bottom\",\n",
    "        panel.grid = element_line(\"gray70\"),\n",
    "        legend.key.width=unit(0.5,\"cm\"))\n",
    "            \n",
    "    \n",
    "desktop_revert_rate_monthly_ts_plot\n",
    "ggsave(\"Figures/desktop_revert_rate_monthly_ts_plot.png\", desktop_revert_rate_monthly_ts_plot, width = 16, height = 8, units = \"in\", dpi = 300)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "There is a fairly consistent difference in revert rates between the two editing interfaces for the past two years, with the maximum difference around 8%. The average difference in monthly revert rates between the two editing interfaces for the past two years is 6.2%.  Visual Editor has a higher revert rate ranging from 24% to 32% while wikitext's revert rate ranges from about 21% to 26%."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Review YOY changes by editing interface"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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AAAAGii0KkMAAAAAABAE4WAEKBJO3z4MIvFYrFYtL84xqZNm+j0goICVdKpJ6Ki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\nTxf87Z29JjNj0750fsy7L6bguKO3Wpoo9tPzevPto4+3mPeXS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GhhBi+vTpR48e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\nqeXu3bvSw4sXLzZv3rxNmzaWR/X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Dp0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\n672arpnmmQu9uBnJQRkpQZnJwSIB3Ni1jMl4UNLwFy9k37nfdvVW442Cp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      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 420,
       "width": 600
      },
      "text/plain": {
       "height": 420,
       "width": 600
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot chart of yoy changes\n",
    "\n",
    "desktop_revert_rate_monthly_yoy_plot <- desktop_revert_rate_monthly_yoy %>%\n",
    "    select(-c(4,5)) %>%  #remove yoy columns\n",
    "    gather(editing_interface, revert_rate, 2:3) %>%\n",
    "    mutate(year = case_when(date >= '2018-07-01' & date < '2019-07-01' ~ '2018/2019',\n",
    "                         date >= '2019-07-01' & date < '2020-08-01' ~ '2019/2020'),\n",
    "         MonthN =as.factor(format(as.Date(date),\"%m\")),\n",
    "         CalMonth = months(as.Date(date), abbreviate=TRUE))\n",
    "\n",
    "\n",
    "desktop_revert_rate_monthly_yoy_plot$MonthN = factor(desktop_revert_rate_monthly_yoy_plot$MonthN, levels=c(\"07\", \"08\", \"09\", \"10\", \"11\", \"12\", \"01\", \"02\", \"03\", \n",
    "                                                                           \"04\", \"05\", \"06\"))\n",
    "\n",
    "desktop_revert_rate_monthly_yoy_plot$year = factor(desktop_revert_rate_monthly_yoy_plot$year, levels = c('2018/2019', '2019/2020'))\n",
    "\n",
    "\n",
    "p <- ggplot(desktop_revert_rate_monthly_yoy_plot, aes(x=MonthN, y = revert_rate, group = year, color = year, linetype = year)) +    \n",
    "  geom_line(size = 1.5\n",
    "           ) +\n",
    "  scale_y_continuous(\"Revert Rate\", labels = scales::percent) +\n",
    "  scale_x_discrete(breaks = desktop_revert_rate_monthly_yoy_plot$MonthN, labels = desktop_revert_rate_monthly_yoy_plot$CalMonth)+\n",
    "  labs(title = \"Monthly desktop revert rate YOY by editing interface \\n on Wikipedia for anonymous users or first time editors\") +\n",
    "        xlab(\"Date\") +\n",
    "  facet_wrap(~editing_interface, nrow = 2) +\n",
    "  ggthemes::theme_tufte(base_size = 14, base_family = \"Gill Sans\") +\n",
    "    scale_linetype_manual(breaks=c('2018/2019', '2019/2020'), values=c(2,1)) + \n",
    "    scale_color_manual(values = c( \"steelblue2\",\"royalblue4\")) +\n",
    "  theme(plot.title = element_text(hjust = 0.5),\n",
    "        legend.title = element_blank(),\n",
    "        legend.position = \"bottom\",\n",
    "        panel.grid = element_line(\"gray70\"),\n",
    "        legend.key.width=unit(0.5,\"cm\"))\n",
    "\n",
    "\n",
    "p\n",
    "ggsave(\"Figures/desktop_revert_rate_monthly_yoy_plot.png\", p, width = 16, height = 8, units = \"in\", dpi = 300)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The VE revert rate has been showing a YoY decline since March 2020. Wikitext has pretty consistently been showing a YoY decleine in revert rate this past year. YoY changes range from about -8% (April 2020 on wikitext) to +10% (August 2019 on Visual Editor)."
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "R",
   "language": "R",
   "name": "ir"
  },
  "language_info": {
   "codemirror_mode": "r",
   "file_extension": ".r",
   "mimetype": "text/x-r-source",
   "name": "R",
   "pygments_lexer": "r",
   "version": "3.5.2"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}