{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Adoption of the Replying Tool (Beta Features)\n",
"\n",
"[Task](https://phabricator.wikimedia.org/T249386)\n",
"\n",
"June 2020"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Contents\n",
"1. [How many people have used the Reply tool?](#How-many-people-have-used-the-Reply-tool?)\n",
"2. [How often are people using the Reply tool to make talk page edits?](#How-often-are-people-using-the-Reply-tool-to-make-talk-page-edits?)\n",
"3. [How many people have had access to the Reply tool? ](#How-many-people-have-had-access-to-the-Reply-tool?)\n",
"4. [How many people should we expect to try the Replying feature when it is turned on as an opt out user preference at our four partner wikis?](#How-many-people-should-we-expect-to-try-the-Replying-feature-when-it-is-turned-on-as-an-opt-out-user-preference-at-our-four-partner-wikis?)\n",
"5. [How many talk page edits are being made with the Reply Tool?](#How-many-talk-page-edits-are-being-made-with-the-Reply-Tool?) "
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Background\n",
"\n",
"In [T244872](https://phabricator.wikimedia.org/T244872) and [T245794](https://phabricator.wikimedia.org/T245794) the reply tool was released as an opt-in beta feature for the following partner wikis: Arabic, Dutch, French and Hungarian. Version 1.0 of the replying tool was deployed on to the partner wikis on March 31, 2020 and Version 2.0 was deployed on June 17, 2020.\n",
"\n",
"We would like to know how the tool is being used and adopted by the partner wikis as a Beta Feature prior to deploying the tool to all volunteers as an opt-out preference on the four partner wikis [T249394](https://phabricator.wikimedia.org/T249394)."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Data\n",
"\n",
"Data for this analysis comes from the [PrepUpdate](https://meta.wikimedia.org/wiki/Schema:PrefUpdate) table, the [user properties](https://www.mediawiki.org/wiki/Manual:User_properties_table/en) table, and [mediawiki_history](https://wikitech.wikimedia.org/wiki/Analytics/Data_Lake/Edits/MediaWiki_history) table. \n",
"\n",
"For metrics that were calculated using mediawiki_history, we reviewed data from the release of Version 1.0 on March 31 through the end of June 2020 (the most recent data available at the time of this analysis).\n"
]
},
{
"cell_type": "code",
"execution_count": 20,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"\n",
"
"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"library(IRdisplay)\n",
"\n",
"display_html(\n",
"'\n",
" '\n",
")"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {},
"outputs": [],
"source": [
"shhh <- function(expr) suppressPackageStartupMessages(suppressWarnings(suppressMessages(expr)))\n",
"shhh({\n",
" library(tidyverse); library(glue); library(lubridate); library(scales)\n",
"})"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# How many people have used the Reply tool? "
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Notes: \n",
"- We reviewed the number and percentage of people overall and by that made just 1 edit and that made edits within identified buckets (e.g. \" E.g. \"1-5 edits,\" \"6-10 edits,\" etc.\n",
"- Data comes from mediawiki_history using the new change tag implemented in [T242184](https://phabricator.wikimedia.org/T242184). \n",
"- We reviewed all edits made with the discussiontools tag. These include all users who were able to successfully make an edit using the reply tool. It does not include attempts with the tool that were not saved. \n",
"- Any self-identified bots were filtered out from the data; however, some un-identified bots might still be included."
]
},
{
"cell_type": "code",
"execution_count": 12,
"metadata": {},
"outputs": [],
"source": [
"# Collect users max reply edits over time period and remove bots\n",
"\n",
"query <- \"\n",
"\n",
"SELECT\n",
" wiki,\n",
" reply_user,\n",
" max(reply_edits) as reply_edit_count\n",
"FROM (\n",
" SELECT\n",
" wiki_db AS wiki,\n",
" event_user_id as reply_user,\n",
" max(size(event_user_is_bot_by) > 0 or size(event_user_is_bot_by_historical) > 0) as bot_by_group,\n",
" Count(*) as reply_edits\n",
"FROM wmf.mediawiki_history\n",
"WHERE \n",
" ARRAY_CONTAINS(revision_tags, 'discussiontools') AND\n",
" snapshot = '2020-06' AND\n",
" event_timestamp >= '2020-03-31' AND \n",
" event_timestamp <= '2020-04-30' AND\n",
" wiki_db IN ('arwiki','nlwiki', 'frwiki', 'huwiki') AND\n",
" event_entity = 'revision' AND\n",
" event_type = 'create'\n",
"GROUP BY\n",
" wiki_db,\n",
" event_user_id \n",
") edits\n",
"WHERE not bot_by_group\n",
"GROUP BY reply_user, wiki\"\n"
]
},
{
"cell_type": "code",
"execution_count": 13,
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"Don't forget to authenticate with Kerberos using kinit\n",
"\n"
]
}
],
"source": [
"test <- wmfdata::query_hive(query)"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"Warning message in readChar(con, 5L, useBytes = TRUE):\n",
"“cannot open compressed file 'Data/reply_edit_users.RData', probable reason 'No such file or directory'”\n"
]
},
{
"ename": "ERROR",
"evalue": "Error in readChar(con, 5L, useBytes = TRUE): cannot open the connection\n",
"output_type": "error",
"traceback": [
"Error in readChar(con, 5L, useBytes = TRUE): cannot open the connection\nTraceback:\n",
"1. load(\"Data/reply_edit_users.RData\")",
"2. readChar(con, 5L, useBytes = TRUE)"
]
}
],
"source": [
"load(\"Data/reply_edit_users.RData\")\n",
"reply_edit_users <- results"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### How many people have made just 1 edit with the Reply Tool?"
]
},
{
"cell_type": "code",
"execution_count": 14,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"\n",
"A data.frame: 1 × 1\n",
"\n",
"\tn_users |
\n",
"\t<int> |
\n",
"\n",
"\n",
"\t161 |
\n",
"\n",
"
\n"
],
"text/latex": [
"A data.frame: 1 × 1\n",
"\\begin{tabular}{l}\n",
" n\\_users\\\\\n",
" \\\\\n",
"\\hline\n",
"\t 161\\\\\n",
"\\end{tabular}\n"
],
"text/markdown": [
"\n",
"A data.frame: 1 × 1\n",
"\n",
"| n_users <int> |\n",
"|---|\n",
"| 161 |\n",
"\n"
],
"text/plain": [
" n_users\n",
"1 161 "
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"num_users <- test %>%\n",
" summarise(n_users = n())\n",
"\n",
"num_users"
]
},
{
"cell_type": "code",
"execution_count": 331,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"\n",
"A data.frame: 1 × 2\n",
"\n",
"\tn_users | percent_users |
\n",
"\t<int> | <dbl> |
\n",
"\n",
"\n",
"\t100 | 30.4878 |
\n",
"\n",
"
\n"
],
"text/latex": [
"A data.frame: 1 × 2\n",
"\\begin{tabular}{ll}\n",
" n\\_users & percent\\_users\\\\\n",
" & \\\\\n",
"\\hline\n",
"\t 100 & 30.4878\\\\\n",
"\\end{tabular}\n"
],
"text/markdown": [
"\n",
"A data.frame: 1 × 2\n",
"\n",
"| n_users <int> | percent_users <dbl> |\n",
"|---|---|\n",
"| 100 | 30.4878 |\n",
"\n"
],
"text/plain": [
" n_users percent_users\n",
"1 100 30.4878 "
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# Find overall number of users that made only 1 edit\n",
"reply_edits_overall_1edit <- reply_edit_users %>%\n",
" filter(reply_edit_count == 1) %>%\n",
" summarise(n_users = n(),\n",
" percent_users = n_users/328 *100) #divide by total number of reply tool users overall\n",
"\n",
"reply_edits_overall_1edit"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"A total of 328 users have successfully made at least one edit using the reply tool from 31 March 2020 through the end of June.\n",
"\n",
"100 of those users (30.49%) have made only 1 edit. The majority (69.5%) have made at least 2 edits using the tool. "
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### How many people have made edits with the Reply Tool by edit group count?"
]
},
{
"cell_type": "code",
"execution_count": 231,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"\n",
"A tibble: 11 × 3\n",
"\n",
"\tedit_count_group | n_users | percent_reply_users |
\n",
"\t<fct> | <int> | <dbl> |
\n",
"\n",
"\n",
"\t1-5 edits | 201 | 0.612804878 |
\n",
"\t6-10 edits | 22 | 0.067073171 |
\n",
"\t11-15 edits | 18 | 0.054878049 |
\n",
"\t16-20 edits | 7 | 0.021341463 |
\n",
"\t21-25 edits | 10 | 0.030487805 |
\n",
"\t26-30 edits | 8 | 0.024390244 |
\n",
"\t31-35 edits | 3 | 0.009146341 |
\n",
"\t36-40 edits | 7 | 0.021341463 |
\n",
"\t41-45 edits | 3 | 0.009146341 |
\n",
"\t46-50 edits | 2 | 0.006097561 |
\n",
"\tover 50 edits | 47 | 0.143292683 |
\n",
"\n",
"
\n"
],
"text/latex": [
"A tibble: 11 × 3\n",
"\\begin{tabular}{lll}\n",
" edit\\_count\\_group & n\\_users & percent\\_reply\\_users\\\\\n",
" & & \\\\\n",
"\\hline\n",
"\t 1-5 edits & 201 & 0.612804878\\\\\n",
"\t 6-10 edits & 22 & 0.067073171\\\\\n",
"\t 11-15 edits & 18 & 0.054878049\\\\\n",
"\t 16-20 edits & 7 & 0.021341463\\\\\n",
"\t 21-25 edits & 10 & 0.030487805\\\\\n",
"\t 26-30 edits & 8 & 0.024390244\\\\\n",
"\t 31-35 edits & 3 & 0.009146341\\\\\n",
"\t 36-40 edits & 7 & 0.021341463\\\\\n",
"\t 41-45 edits & 3 & 0.009146341\\\\\n",
"\t 46-50 edits & 2 & 0.006097561\\\\\n",
"\t over 50 edits & 47 & 0.143292683\\\\\n",
"\\end{tabular}\n"
],
"text/markdown": [
"\n",
"A tibble: 11 × 3\n",
"\n",
"| edit_count_group <fct> | n_users <int> | percent_reply_users <dbl> |\n",
"|---|---|---|\n",
"| 1-5 edits | 201 | 0.612804878 |\n",
"| 6-10 edits | 22 | 0.067073171 |\n",
"| 11-15 edits | 18 | 0.054878049 |\n",
"| 16-20 edits | 7 | 0.021341463 |\n",
"| 21-25 edits | 10 | 0.030487805 |\n",
"| 26-30 edits | 8 | 0.024390244 |\n",
"| 31-35 edits | 3 | 0.009146341 |\n",
"| 36-40 edits | 7 | 0.021341463 |\n",
"| 41-45 edits | 3 | 0.009146341 |\n",
"| 46-50 edits | 2 | 0.006097561 |\n",
"| over 50 edits | 47 | 0.143292683 |\n",
"\n"
],
"text/plain": [
" edit_count_group n_users percent_reply_users\n",
"1 1-5 edits 201 0.612804878 \n",
"2 6-10 edits 22 0.067073171 \n",
"3 11-15 edits 18 0.054878049 \n",
"4 16-20 edits 7 0.021341463 \n",
"5 21-25 edits 10 0.030487805 \n",
"6 26-30 edits 8 0.024390244 \n",
"7 31-35 edits 3 0.009146341 \n",
"8 36-40 edits 7 0.021341463 \n",
"9 41-45 edits 3 0.009146341 \n",
"10 46-50 edits 2 0.006097561 \n",
"11 over 50 edits 47 0.143292683 "
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"#Divide reply edits int0 edit count groups with bin width set to 5 edits\n",
"b <- c(0, 5, 10, 15, 20, 25, 30, 35, 40, 45, 50, Inf)\n",
"names <- c('1-5 edits', '6-10 edits', '11-15 edits', '16-20 edits', '21-25 edits', '26-30 edits', '31-35 edits',\n",
" '36-40 edits', '41-45 edits', '46-50 edits', 'over 50 edits')\n",
"\n",
"reply_edit_overall_bygroup <- reply_edit_users %>%\n",
" mutate(edit_count_group = cut(reply_edit_count, breaks = b, labels = names)) %>%\n",
" group_by(edit_count_group) %>%\n",
" summarise(n_users = n()) %>%\n",
" mutate(percent_reply_users = n_users/sum(n_users))\n",
"\n",
"reply_edit_overall_bygroup"
]
},
{
"cell_type": "code",
"execution_count": 563,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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AAAAAA8FAlhydLS0pYtWzZ+/PiWLVtWq1YtICAgICCgRo0aQ4cO3bhxY3FTXbhw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\nvFZx26WM7DVUr9cb3QE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UlJTg4TAAAA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tCwAAAAAAj9QKAmH37t3btGlTWlp65syZ+uPZ2fVh1FIAACAASURBVNlCiMTExDs9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\nUwAAAABJRU5ErkJggg==",
"text/plain": [
"plot without title"
]
},
"metadata": {
"image/png": {
"height": 420,
"width": 600
},
"text/plain": {
"height": 420,
"width": 600
}
},
"output_type": "display_data"
}
],
"source": [
"#chart overall users by edit group\n",
"\n",
"options(repr.plot.width = 10, repr.plot.height = 7)\n",
"\n",
"p <- reply_edit_overall_bygroup %>%\n",
" ggplot(aes(x=edit_count_group, y = percent_reply_users)) +\n",
" geom_bar(stat = 'identity', fill = 'darkblue') +\n",
" scale_y_continuous(labels = scales::percent) +\n",
" labs (y = \"Percent of reply tool ssers\",\n",
" x = \"Number of edits with the reply tool\",\n",
" title = \"Reply tool users overall by edit count group\",\n",
" subtitle = \"31 March through 30 June 2020\") +\n",
" theme_bw() +\n",
" theme(\n",
" plot.title = element_text(hjust = 0.5),\n",
" text = element_text(size=16),\n",
" axis.text.x = element_text(angle=45, hjust=1),\n",
" legend.position = \"none\") \n",
" \n",
" \n",
"p"
]
},
{
"cell_type": "code",
"execution_count": 564,
"metadata": {},
"outputs": [],
"source": [
"ggsave(\"Figures/reply_edit_users_overall.png\", p, width = 16, height = 8, units = \"in\", dpi = 300)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"While the majority of reply tool users make at least 1 edit, not much more make more the 5 edits. Over half (61.28%) of reply tool users made between 1 to 5 edits using the tool. About half of those users are users that made only 1 edit.\n",
"\n",
"32% of reply tool users made more than 10 edits using the tool. 12.2% made between 6 and 15 edits. \n",
"\n",
"About 14.3% of users made over 50 edits during this timeframe. Note: This might consist of some automated traffic not self-identifed as bots. "
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Number of users that made reply edits by partner wiki"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### How many people have made just 1 edit with the Reply Tool by wiki?"
]
},
{
"cell_type": "code",
"execution_count": 348,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"\n",
"A grouped_df: 4 × 4\n",
"\n",
"\twiki | total_users | one_edit_users | percent_users |
\n",
"\t<chr> | <int> | <int> | <dbl> |
\n",
"\n",
"\n",
"\tarwiki | 83 | 29 | 34.93976 |
\n",
"\tfrwiki | 153 | 48 | 31.37255 |
\n",
"\thuwiki | 43 | 12 | 27.90698 |
\n",
"\tnlwiki | 49 | 11 | 22.44898 |
\n",
"\n",
"
\n"
],
"text/latex": [
"A grouped\\_df: 4 × 4\n",
"\\begin{tabular}{llll}\n",
" wiki & total\\_users & one\\_edit\\_users & percent\\_users\\\\\n",
" & & & \\\\\n",
"\\hline\n",
"\t arwiki & 83 & 29 & 34.93976\\\\\n",
"\t frwiki & 153 & 48 & 31.37255\\\\\n",
"\t huwiki & 43 & 12 & 27.90698\\\\\n",
"\t nlwiki & 49 & 11 & 22.44898\\\\\n",
"\\end{tabular}\n"
],
"text/markdown": [
"\n",
"A grouped_df: 4 × 4\n",
"\n",
"| wiki <chr> | total_users <int> | one_edit_users <int> | percent_users <dbl> |\n",
"|---|---|---|---|\n",
"| arwiki | 83 | 29 | 34.93976 |\n",
"| frwiki | 153 | 48 | 31.37255 |\n",
"| huwiki | 43 | 12 | 27.90698 |\n",
"| nlwiki | 49 | 11 | 22.44898 |\n",
"\n"
],
"text/plain": [
" wiki total_users one_edit_users percent_users\n",
"1 arwiki 83 29 34.93976 \n",
"2 frwiki 153 48 31.37255 \n",
"3 huwiki 43 12 27.90698 \n",
"4 nlwiki 49 11 22.44898 "
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# Find overall number of users that made only 1 edit\n",
"reply_edits_overall_1edit_bywiki <- reply_edit_users %>%\n",
" group_by(wiki) %>%\n",
" mutate(total_users = n()) %>%\n",
" filter(reply_edit_count == 1) %>%\n",
" group_by(wiki, total_users) %>%\n",
" summarise(one_edit_users = n()) %>%\n",
" mutate(percent_users = one_edit_users/total_users*100)\n",
" \n",
"\n",
"reply_edits_overall_1edit_bywiki "
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"On a per wiki basis, the percent of reply users that made only 1 edit ranged from about 22% to 35%. Arabic Wikipedia had the highest number of one edit users while Dutch Wikipedia had the lowest."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### How many people have made edits with the Reply Tool by edit group count?"
]
},
{
"cell_type": "code",
"execution_count": 276,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"\n",
"A grouped_df: 36 × 4\n",
"\n",
"\twiki | edit_count_group | n_users | percent_reply_users |
\n",
"\t<chr> | <fct> | <int> | <dbl> |
\n",
"\n",
"\n",
"\tarwiki | 1-5 edits | 45 | 0.542168675 |
\n",
"\tarwiki | 6-10 edits | 8 | 0.096385542 |
\n",
"\tarwiki | 11-15 edits | 5 | 0.060240964 |
\n",
"\tarwiki | 16-20 edits | 3 | 0.036144578 |
\n",
"\tarwiki | 21-25 edits | 2 | 0.024096386 |
\n",
"\tarwiki | 26-30 edits | 2 | 0.024096386 |
\n",
"\tarwiki | 31-35 edits | 1 | 0.012048193 |
\n",
"\tarwiki | over 50 edits | 17 | 0.204819277 |
\n",
"\tfrwiki | 1-5 edits | 102 | 0.666666667 |
\n",
"\tfrwiki | 6-10 edits | 11 | 0.071895425 |
\n",
"\tfrwiki | 11-15 edits | 6 | 0.039215686 |
\n",
"\tfrwiki | 16-20 edits | 2 | 0.013071895 |
\n",
"\tfrwiki | 21-25 edits | 4 | 0.026143791 |
\n",
"\tfrwiki | 26-30 edits | 3 | 0.019607843 |
\n",
"\tfrwiki | 31-35 edits | 1 | 0.006535948 |
\n",
"\tfrwiki | 36-40 edits | 5 | 0.032679739 |
\n",
"\tfrwiki | 41-45 edits | 3 | 0.019607843 |
\n",
"\tfrwiki | 46-50 edits | 1 | 0.006535948 |
\n",
"\tfrwiki | over 50 edits | 15 | 0.098039216 |
\n",
"\thuwiki | 1-5 edits | 25 | 0.581395349 |
\n",
"\thuwiki | 6-10 edits | 2 | 0.046511628 |
\n",
"\thuwiki | 11-15 edits | 1 | 0.023255814 |
\n",
"\thuwiki | 21-25 edits | 3 | 0.069767442 |
\n",
"\thuwiki | 26-30 edits | 2 | 0.046511628 |
\n",
"\thuwiki | 31-35 edits | 1 | 0.023255814 |
\n",
"\thuwiki | 36-40 edits | 1 | 0.023255814 |
\n",
"\thuwiki | over 50 edits | 8 | 0.186046512 |
\n",
"\tnlwiki | 1-5 edits | 29 | 0.591836735 |
\n",
"\tnlwiki | 6-10 edits | 1 | 0.020408163 |
\n",
"\tnlwiki | 11-15 edits | 6 | 0.122448980 |
\n",
"\tnlwiki | 16-20 edits | 2 | 0.040816327 |
\n",
"\tnlwiki | 21-25 edits | 1 | 0.020408163 |
\n",
"\tnlwiki | 26-30 edits | 1 | 0.020408163 |
\n",
"\tnlwiki | 36-40 edits | 1 | 0.020408163 |
\n",
"\tnlwiki | 46-50 edits | 1 | 0.020408163 |
\n",
"\tnlwiki | over 50 edits | 7 | 0.142857143 |
\n",
"\n",
"
\n"
],
"text/latex": [
"A grouped\\_df: 36 × 4\n",
"\\begin{tabular}{llll}\n",
" wiki & edit\\_count\\_group & n\\_users & percent\\_reply\\_users\\\\\n",
" & & & \\\\\n",
"\\hline\n",
"\t arwiki & 1-5 edits & 45 & 0.542168675\\\\\n",
"\t arwiki & 6-10 edits & 8 & 0.096385542\\\\\n",
"\t arwiki & 11-15 edits & 5 & 0.060240964\\\\\n",
"\t arwiki & 16-20 edits & 3 & 0.036144578\\\\\n",
"\t arwiki & 21-25 edits & 2 & 0.024096386\\\\\n",
"\t arwiki & 26-30 edits & 2 & 0.024096386\\\\\n",
"\t arwiki & 31-35 edits & 1 & 0.012048193\\\\\n",
"\t arwiki & over 50 edits & 17 & 0.204819277\\\\\n",
"\t frwiki & 1-5 edits & 102 & 0.666666667\\\\\n",
"\t frwiki & 6-10 edits & 11 & 0.071895425\\\\\n",
"\t frwiki & 11-15 edits & 6 & 0.039215686\\\\\n",
"\t frwiki & 16-20 edits & 2 & 0.013071895\\\\\n",
"\t frwiki & 21-25 edits & 4 & 0.026143791\\\\\n",
"\t frwiki & 26-30 edits & 3 & 0.019607843\\\\\n",
"\t frwiki & 31-35 edits & 1 & 0.006535948\\\\\n",
"\t frwiki & 36-40 edits & 5 & 0.032679739\\\\\n",
"\t frwiki & 41-45 edits & 3 & 0.019607843\\\\\n",
"\t frwiki & 46-50 edits & 1 & 0.006535948\\\\\n",
"\t frwiki & over 50 edits & 15 & 0.098039216\\\\\n",
"\t huwiki & 1-5 edits & 25 & 0.581395349\\\\\n",
"\t huwiki & 6-10 edits & 2 & 0.046511628\\\\\n",
"\t huwiki & 11-15 edits & 1 & 0.023255814\\\\\n",
"\t huwiki & 21-25 edits & 3 & 0.069767442\\\\\n",
"\t huwiki & 26-30 edits & 2 & 0.046511628\\\\\n",
"\t huwiki & 31-35 edits & 1 & 0.023255814\\\\\n",
"\t huwiki & 36-40 edits & 1 & 0.023255814\\\\\n",
"\t huwiki & over 50 edits & 8 & 0.186046512\\\\\n",
"\t nlwiki & 1-5 edits & 29 & 0.591836735\\\\\n",
"\t nlwiki & 6-10 edits & 1 & 0.020408163\\\\\n",
"\t nlwiki & 11-15 edits & 6 & 0.122448980\\\\\n",
"\t nlwiki & 16-20 edits & 2 & 0.040816327\\\\\n",
"\t nlwiki & 21-25 edits & 1 & 0.020408163\\\\\n",
"\t nlwiki & 26-30 edits & 1 & 0.020408163\\\\\n",
"\t nlwiki & 36-40 edits & 1 & 0.020408163\\\\\n",
"\t nlwiki & 46-50 edits & 1 & 0.020408163\\\\\n",
"\t nlwiki & over 50 edits & 7 & 0.142857143\\\\\n",
"\\end{tabular}\n"
],
"text/markdown": [
"\n",
"A grouped_df: 36 × 4\n",
"\n",
"| wiki <chr> | edit_count_group <fct> | n_users <int> | percent_reply_users <dbl> |\n",
"|---|---|---|---|\n",
"| arwiki | 1-5 edits | 45 | 0.542168675 |\n",
"| arwiki | 6-10 edits | 8 | 0.096385542 |\n",
"| arwiki | 11-15 edits | 5 | 0.060240964 |\n",
"| arwiki | 16-20 edits | 3 | 0.036144578 |\n",
"| arwiki | 21-25 edits | 2 | 0.024096386 |\n",
"| arwiki | 26-30 edits | 2 | 0.024096386 |\n",
"| arwiki | 31-35 edits | 1 | 0.012048193 |\n",
"| arwiki | over 50 edits | 17 | 0.204819277 |\n",
"| frwiki | 1-5 edits | 102 | 0.666666667 |\n",
"| frwiki | 6-10 edits | 11 | 0.071895425 |\n",
"| frwiki | 11-15 edits | 6 | 0.039215686 |\n",
"| frwiki | 16-20 edits | 2 | 0.013071895 |\n",
"| frwiki | 21-25 edits | 4 | 0.026143791 |\n",
"| frwiki | 26-30 edits | 3 | 0.019607843 |\n",
"| frwiki | 31-35 edits | 1 | 0.006535948 |\n",
"| frwiki | 36-40 edits | 5 | 0.032679739 |\n",
"| frwiki | 41-45 edits | 3 | 0.019607843 |\n",
"| frwiki | 46-50 edits | 1 | 0.006535948 |\n",
"| frwiki | over 50 edits | 15 | 0.098039216 |\n",
"| huwiki | 1-5 edits | 25 | 0.581395349 |\n",
"| huwiki | 6-10 edits | 2 | 0.046511628 |\n",
"| huwiki | 11-15 edits | 1 | 0.023255814 |\n",
"| huwiki | 21-25 edits | 3 | 0.069767442 |\n",
"| huwiki | 26-30 edits | 2 | 0.046511628 |\n",
"| huwiki | 31-35 edits | 1 | 0.023255814 |\n",
"| huwiki | 36-40 edits | 1 | 0.023255814 |\n",
"| huwiki | over 50 edits | 8 | 0.186046512 |\n",
"| nlwiki | 1-5 edits | 29 | 0.591836735 |\n",
"| nlwiki | 6-10 edits | 1 | 0.020408163 |\n",
"| nlwiki | 11-15 edits | 6 | 0.122448980 |\n",
"| nlwiki | 16-20 edits | 2 | 0.040816327 |\n",
"| nlwiki | 21-25 edits | 1 | 0.020408163 |\n",
"| nlwiki | 26-30 edits | 1 | 0.020408163 |\n",
"| nlwiki | 36-40 edits | 1 | 0.020408163 |\n",
"| nlwiki | 46-50 edits | 1 | 0.020408163 |\n",
"| nlwiki | over 50 edits | 7 | 0.142857143 |\n",
"\n"
],
"text/plain": [
" wiki edit_count_group n_users percent_reply_users\n",
"1 arwiki 1-5 edits 45 0.542168675 \n",
"2 arwiki 6-10 edits 8 0.096385542 \n",
"3 arwiki 11-15 edits 5 0.060240964 \n",
"4 arwiki 16-20 edits 3 0.036144578 \n",
"5 arwiki 21-25 edits 2 0.024096386 \n",
"6 arwiki 26-30 edits 2 0.024096386 \n",
"7 arwiki 31-35 edits 1 0.012048193 \n",
"8 arwiki over 50 edits 17 0.204819277 \n",
"9 frwiki 1-5 edits 102 0.666666667 \n",
"10 frwiki 6-10 edits 11 0.071895425 \n",
"11 frwiki 11-15 edits 6 0.039215686 \n",
"12 frwiki 16-20 edits 2 0.013071895 \n",
"13 frwiki 21-25 edits 4 0.026143791 \n",
"14 frwiki 26-30 edits 3 0.019607843 \n",
"15 frwiki 31-35 edits 1 0.006535948 \n",
"16 frwiki 36-40 edits 5 0.032679739 \n",
"17 frwiki 41-45 edits 3 0.019607843 \n",
"18 frwiki 46-50 edits 1 0.006535948 \n",
"19 frwiki over 50 edits 15 0.098039216 \n",
"20 huwiki 1-5 edits 25 0.581395349 \n",
"21 huwiki 6-10 edits 2 0.046511628 \n",
"22 huwiki 11-15 edits 1 0.023255814 \n",
"23 huwiki 21-25 edits 3 0.069767442 \n",
"24 huwiki 26-30 edits 2 0.046511628 \n",
"25 huwiki 31-35 edits 1 0.023255814 \n",
"26 huwiki 36-40 edits 1 0.023255814 \n",
"27 huwiki over 50 edits 8 0.186046512 \n",
"28 nlwiki 1-5 edits 29 0.591836735 \n",
"29 nlwiki 6-10 edits 1 0.020408163 \n",
"30 nlwiki 11-15 edits 6 0.122448980 \n",
"31 nlwiki 16-20 edits 2 0.040816327 \n",
"32 nlwiki 21-25 edits 1 0.020408163 \n",
"33 nlwiki 26-30 edits 1 0.020408163 \n",
"34 nlwiki 36-40 edits 1 0.020408163 \n",
"35 nlwiki 46-50 edits 1 0.020408163 \n",
"36 nlwiki over 50 edits 7 0.142857143 "
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"reply_edit_bywiki<- reply_edit_users %>%\n",
" mutate(edit_count_group = cut(reply_edit_count, breaks = b, labels = names)) %>%\n",
" group_by(wiki, edit_count_group) %>%\n",
" summarise(n_users = n()) %>%\n",
" mutate(percent_reply_users = n_users/sum(n_users))\n",
"\n",
"reply_edit_bywiki"
]
},
{
"cell_type": "code",
"execution_count": 565,
"metadata": {},
"outputs": [
{
"data": {
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SQ0NFTteEVUt27dtJejaWuyhIY1+q6B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\nq82bN9MPM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69eQogjR440PTIAAAAAQESpuIbw0KFDQogxY8aEqZOW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Uqamp8Xq9LVq0MBp1cZl0IBCoqKiIiYlJ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\nqhw9evT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+s2Hh6RI0nMsyN69913c3Jyrl27ZjabNRpN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\nAAAA2ihMCAEAAAAAANqo/wMNYVrnoB1ZlAAAAABJRU5ErkJggg==",
"text/plain": [
"plot without title"
]
},
"metadata": {
"image/png": {
"height": 420,
"width": 600
},
"text/plain": {
"height": 420,
"width": 600
}
},
"output_type": "display_data"
}
],
"source": [
"# chart by wiki\n",
"\n",
"p <- reply_edit_bywiki %>%\n",
" ggplot(aes(x=edit_count_group, y = percent_reply_users, fill = edit_count_group)) +\n",
" geom_bar(stat = 'identity', fill = 'darkblue') +\n",
" facet_wrap(~wiki) +\n",
" scale_y_continuous(labels = scales::percent) +\n",
" labs (y = \"Percent of reply tool users\",\n",
" x = \"Number of reply tool edits\",\n",
" title = \"Reply tool users by edit count group and wiki\",\n",
" subtitle = \"31 March through 30 June 2020\") +\n",
" theme_bw() +\n",
" theme(\n",
" plot.title = element_text(hjust = 0.5),\n",
" text = element_text(size=16),\n",
" axis.text.x = element_text(angle=45, hjust=1),\n",
" legend.position = \"none\") \n",
" \n",
" \n",
"p"
]
},
{
"cell_type": "code",
"execution_count": 566,
"metadata": {},
"outputs": [],
"source": [
"ggsave(\"Figures/reply_edit_users_bywiki.png\", p, width = 16, height = 8, units = \"in\", dpi = 300)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"A little over half of all reply users on each partner wiki made between 1-5 edits. After that, there is a general decrase in the numbers of users as the number of edits increase with a couple exceptions.\n",
"\n",
"Dutch Wikipedia has a higher number of users that made 11 to 15 edits compared to 6 to 10 edits.Hungarian Wikipedia had a higher number of users that made between 21 to 25 and 26 to 30 edits compared to 6 to 10 edits."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# How often are people using the Reply tool to make talk page edits?\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Notes: \n",
"- We reviewed the number and percentage of people overall that used the tool on just 1 day and that made edits within identified buckets of day (e.g. \" E.g. \"1-5 days,\" \"6-10 day,\" etc.)\n",
"- Similar to the calculations above, we reviewed data comes from mediawiki_history. We reviewed all edits made with the discussiontools change tag. \n",
"- A distinct day was defined as a distinct calendar day; therefore, some of these edits may have occurred 24 hours apart and some may have occured only a few hours apart depending on what time of day the edit was made; however, it provides a useful estimation of repeat usage of the tool or \"stickiness of the tool\". \n"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"query <- \"\n",
"-- obtain distinct day of edits by user\n",
"SELECT\n",
" wiki,\n",
" reply_user,\n",
" COUNT(DISTINCT(day_of_activity)) AS days_of_activity\n",
"FROM (\n",
" SELECT\n",
" wiki_db AS wiki,\n",
" event_user_id as reply_user,\n",
" to_date(event_timestamp) as day_of_activity\n",
" FROM wmf.mediawiki_history\n",
" WHERE \n",
" ARRAY_CONTAINS(revision_tags, 'discussiontools') AND\n",
" snapshot = '2020-06' AND\n",
" event_timestamp >= '2020-03-31' AND \n",
" event_timestamp <= '2020-06-30' AND\n",
" wiki_db IN ('arwiki','nlwiki', 'frwiki', 'huwiki') AND \n",
" event_entity = 'revision' AND\n",
" event_type = 'create'\n",
") edits\n",
"GROUP BY reply_user, wiki\n",
"\"\n",
"\n",
"results <- collect(sql(query))\n",
"save(results, file=\"Data/reply_days_activity.RData\")"
]
},
{
"cell_type": "code",
"execution_count": 279,
"metadata": {},
"outputs": [],
"source": [
"load(\"Data/reply_days_activity.RData\")\n",
"reply_days_activity <- results"
]
},
{
"cell_type": "code",
"execution_count": 159,
"metadata": {},
"outputs": [],
"source": [
"reply_days_activity$days_of_activity <- factor(reply_days_activity$days_of_activity,levels = \n",
" c(\"1-5 days\", '6-10 days', '11-15 days', \n",
" '16-20 days','21-25 days', '26-30 days',\n",
" '31-35 days','36-40 days', '41-45 days','46-50 days', 'over 50 days'))"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Reply users distinct days of activity overall"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### How many people edited with the tool on just 1 day?"
]
},
{
"cell_type": "code",
"execution_count": 349,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"\n",
"A data.frame: 1 × 2\n",
"\n",
"\tone_day_users | percent_users |
\n",
"\t<int> | <dbl> |
\n",
"\n",
"\n",
"\t127 | 38.71951 |
\n",
"\n",
"
\n"
],
"text/latex": [
"A data.frame: 1 × 2\n",
"\\begin{tabular}{ll}\n",
" one\\_day\\_users & percent\\_users\\\\\n",
" & \\\\\n",
"\\hline\n",
"\t 127 & 38.71951\\\\\n",
"\\end{tabular}\n"
],
"text/markdown": [
"\n",
"A data.frame: 1 × 2\n",
"\n",
"| one_day_users <int> | percent_users <dbl> |\n",
"|---|---|\n",
"| 127 | 38.71951 |\n",
"\n"
],
"text/plain": [
" one_day_users percent_users\n",
"1 127 38.71951 "
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# Find overall number of users that used the tool on just 1 day\n",
"reply_days_overall_1day <- reply_days_activity %>%\n",
" filter(days_of_activity == 1) %>%\n",
" summarise(one_day_users = n(),\n",
" percent_users = one_day_users/328 *100)\n",
"\n",
"reply_days_overall_1day"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"38.72% of all reply users used the tool on just one day; indicating that the majority of users (61.3%) used the tool on two or more days. "
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### How many people edited with the Reply Tool by days of activity count?"
]
},
{
"cell_type": "code",
"execution_count": 283,
"metadata": {},
"outputs": [],
"source": [
"#Divide days of activity into groups with bin width set to 5 days\n",
"b <- c(0, 5, 10, 15, 20, 25, 30, 35, 40, 45, 50, Inf)\n",
"names <- c('1-5 days', '6-10 days', '11-15 days', '16-20 days', '21-25 days', '26-30 days', '31-35 days',\n",
" '36-40 days', '41-45 days', '46-50 days', 'over 50 days')"
]
},
{
"cell_type": "code",
"execution_count": 286,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"\n",
"A tibble: 11 × 3\n",
"\n",
"\tdays_activity_group | n_users | percent_reply_users |
\n",
"\t<fct> | <int> | <dbl> |
\n",
"\n",
"\n",
"\t1-5 days | 224 | 0.68292683 |
\n",
"\t6-10 days | 29 | 0.08841463 |
\n",
"\t11-15 days | 11 | 0.03353659 |
\n",
"\t16-20 days | 12 | 0.03658537 |
\n",
"\t21-25 days | 9 | 0.02743902 |
\n",
"\t26-30 days | 5 | 0.01524390 |
\n",
"\t31-35 days | 11 | 0.03353659 |
\n",
"\t36-40 days | 5 | 0.01524390 |
\n",
"\t41-45 days | 5 | 0.01524390 |
\n",
"\t46-50 days | 6 | 0.01829268 |
\n",
"\tover 50 days | 11 | 0.03353659 |
\n",
"\n",
"
\n"
],
"text/latex": [
"A tibble: 11 × 3\n",
"\\begin{tabular}{lll}\n",
" days\\_activity\\_group & n\\_users & percent\\_reply\\_users\\\\\n",
" & & \\\\\n",
"\\hline\n",
"\t 1-5 days & 224 & 0.68292683\\\\\n",
"\t 6-10 days & 29 & 0.08841463\\\\\n",
"\t 11-15 days & 11 & 0.03353659\\\\\n",
"\t 16-20 days & 12 & 0.03658537\\\\\n",
"\t 21-25 days & 9 & 0.02743902\\\\\n",
"\t 26-30 days & 5 & 0.01524390\\\\\n",
"\t 31-35 days & 11 & 0.03353659\\\\\n",
"\t 36-40 days & 5 & 0.01524390\\\\\n",
"\t 41-45 days & 5 & 0.01524390\\\\\n",
"\t 46-50 days & 6 & 0.01829268\\\\\n",
"\t over 50 days & 11 & 0.03353659\\\\\n",
"\\end{tabular}\n"
],
"text/markdown": [
"\n",
"A tibble: 11 × 3\n",
"\n",
"| days_activity_group <fct> | n_users <int> | percent_reply_users <dbl> |\n",
"|---|---|---|\n",
"| 1-5 days | 224 | 0.68292683 |\n",
"| 6-10 days | 29 | 0.08841463 |\n",
"| 11-15 days | 11 | 0.03353659 |\n",
"| 16-20 days | 12 | 0.03658537 |\n",
"| 21-25 days | 9 | 0.02743902 |\n",
"| 26-30 days | 5 | 0.01524390 |\n",
"| 31-35 days | 11 | 0.03353659 |\n",
"| 36-40 days | 5 | 0.01524390 |\n",
"| 41-45 days | 5 | 0.01524390 |\n",
"| 46-50 days | 6 | 0.01829268 |\n",
"| over 50 days | 11 | 0.03353659 |\n",
"\n"
],
"text/plain": [
" days_activity_group n_users percent_reply_users\n",
"1 1-5 days 224 0.68292683 \n",
"2 6-10 days 29 0.08841463 \n",
"3 11-15 days 11 0.03353659 \n",
"4 16-20 days 12 0.03658537 \n",
"5 21-25 days 9 0.02743902 \n",
"6 26-30 days 5 0.01524390 \n",
"7 31-35 days 11 0.03353659 \n",
"8 36-40 days 5 0.01524390 \n",
"9 41-45 days 5 0.01524390 \n",
"10 46-50 days 6 0.01829268 \n",
"11 over 50 days 11 0.03353659 "
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"reply_days_overall_bygroup <- reply_days_activity %>%\n",
" mutate(days_activity_group = cut(days_of_activity, breaks = b, labels = names)) %>%\n",
" group_by(days_activity_group) %>%\n",
" summarise(n_users = n()) %>%\n",
" mutate(percent_reply_users = n_users/sum(n_users))\n",
"\n",
"reply_days_overall_bygroup"
]
},
{
"cell_type": "code",
"execution_count": 567,
"metadata": {},
"outputs": [
{
"data": {
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BBffPFFkyZNFi9efO/ePSPFrO9rMotl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\nOnXqJN8uO3/+/ODgYKX8oEGD5EvwoUOHLlu27MaNG5cvX/7+++9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8ebJ8YypM58w1VlRUlJeX5+fnx3tHjMjPzy8sLKxWrZr2EE3QkZOT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\nu3z58qJFi9q1ayeEyM/PX7BgQbt27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5cuSIVqsdN27cBx98UGNAWFjYxIkThRDb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\nAAAAAACAQP0vRjKi9FMG84YAAAAASUVORK5CYII=",
"text/plain": [
"plot without title"
]
},
"metadata": {
"image/png": {
"height": 420,
"width": 600
},
"text/plain": {
"height": 420,
"width": 600
}
},
"output_type": "display_data"
}
],
"source": [
"#chart overall users by days of activity group\n",
"\n",
"p <- reply_days_overall_bygroup %>%\n",
" ggplot(aes(x=days_activity_group, y = percent_reply_users)) +\n",
" geom_bar(stat = 'identity', fill = 'darkblue') +\n",
" scale_y_continuous(labels = scales::percent) +\n",
" labs (y = \"Percent of reply tool users\",\n",
" x = \"Distinct days of activity\",\n",
" title = \"Reply tool users overall by days of activity\",\n",
" subtitle = \"31 March through 30 June 2020\") +\n",
" theme_bw() +\n",
" theme(plot.title = element_text(hjust = 0.5),\n",
" text = element_text(size=16),\n",
" axis.text.x = element_text(angle=45, hjust=1),\n",
" legend.position = \"none\") \n",
" \n",
" \n",
"p"
]
},
{
"cell_type": "code",
"execution_count": 568,
"metadata": {},
"outputs": [],
"source": [
"ggsave(\"Figures/reply_days_activity_overall.png\", p, width = 16, height = 8, units = \"in\", dpi = 300)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"68.3% of all reply tool users made an edit between 1 to 5 distinct days. Only about 43.3% of those users made an edit on 1 distinct day so we're seeing the majority of users make an edit between 2 to 5 days. \n",
"\n",
"The number of users drops generally decreases as the number of distinct days increase with a couple slight fluctuations."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Reply user distinct days of activity by partner wiki"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### How many people edited with the tool on just 1 day by wiki?"
]
},
{
"cell_type": "code",
"execution_count": 351,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"\n",
"A grouped_df: 4 × 4\n",
"\n",
"\twiki | total_users | one_day_users | percent_users |
\n",
"\t<chr> | <int> | <int> | <dbl> |
\n",
"\n",
"\n",
"\tarwiki | 83 | 35 | 42.16867 |
\n",
"\tfrwiki | 153 | 62 | 40.52288 |
\n",
"\thuwiki | 43 | 14 | 32.55814 |
\n",
"\tnlwiki | 49 | 16 | 32.65306 |
\n",
"\n",
"
\n"
],
"text/latex": [
"A grouped\\_df: 4 × 4\n",
"\\begin{tabular}{llll}\n",
" wiki & total\\_users & one\\_day\\_users & percent\\_users\\\\\n",
" & & & \\\\\n",
"\\hline\n",
"\t arwiki & 83 & 35 & 42.16867\\\\\n",
"\t frwiki & 153 & 62 & 40.52288\\\\\n",
"\t huwiki & 43 & 14 & 32.55814\\\\\n",
"\t nlwiki & 49 & 16 & 32.65306\\\\\n",
"\\end{tabular}\n"
],
"text/markdown": [
"\n",
"A grouped_df: 4 × 4\n",
"\n",
"| wiki <chr> | total_users <int> | one_day_users <int> | percent_users <dbl> |\n",
"|---|---|---|---|\n",
"| arwiki | 83 | 35 | 42.16867 |\n",
"| frwiki | 153 | 62 | 40.52288 |\n",
"| huwiki | 43 | 14 | 32.55814 |\n",
"| nlwiki | 49 | 16 | 32.65306 |\n",
"\n"
],
"text/plain": [
" wiki total_users one_day_users percent_users\n",
"1 arwiki 83 35 42.16867 \n",
"2 frwiki 153 62 40.52288 \n",
"3 huwiki 43 14 32.55814 \n",
"4 nlwiki 49 16 32.65306 "
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# Find overall number of users that made only 1 edit\n",
"reply_days_1day_bywiki <- reply_days_activity %>%\n",
" group_by(wiki) %>%\n",
" mutate(total_users = n()) %>%\n",
" filter(days_of_activity == 1) %>%\n",
" group_by(wiki, total_users) %>% \n",
" summarise(one_day_users = n()) %>%\n",
" mutate(percent_users = one_day_users/total_users*100)\n",
" \n",
"\n",
"reply_days_1day_bywiki"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Across the partner wikis, the percent of one day users ranges from about 32.65% to 42.17%. Similar to the trends seen for the percent of users that made 1 edit, Arabic Wikipedia had the highed percentage of one days users while Dutch Wikipedia had the lowest."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### How many people edited with the Reply Tool by days of activity count and wiki?"
]
},
{
"cell_type": "code",
"execution_count": 294,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"\n",
"A grouped_df: 40 × 4\n",
"\n",
"\twiki | days_activity_group | n_users | percent_reply_users |
\n",
"\t<chr> | <fct> | <int> | <dbl> |
\n",
"\n",
"\n",
"\tarwiki | 1-5 days | 55 | 0.66265060 |
\n",
"\tarwiki | 6-10 days | 7 | 0.08433735 |
\n",
"\tarwiki | 11-15 days | 2 | 0.02409639 |
\n",
"\tarwiki | 16-20 days | 2 | 0.02409639 |
\n",
"\tarwiki | 21-25 days | 3 | 0.03614458 |
\n",
"\tarwiki | 26-30 days | 1 | 0.01204819 |
\n",
"\tarwiki | 31-35 days | 4 | 0.04819277 |
\n",
"\tarwiki | 36-40 days | 1 | 0.01204819 |
\n",
"\tarwiki | 41-45 days | 3 | 0.03614458 |
\n",
"\tarwiki | 46-50 days | 2 | 0.02409639 |
\n",
"\tarwiki | over 50 days | 3 | 0.03614458 |
\n",
"\tfrwiki | 1-5 days | 113 | 0.73856209 |
\n",
"\tfrwiki | 6-10 days | 11 | 0.07189542 |
\n",
"\tfrwiki | 11-15 days | 6 | 0.03921569 |
\n",
"\tfrwiki | 16-20 days | 4 | 0.02614379 |
\n",
"\tfrwiki | 21-25 days | 5 | 0.03267974 |
\n",
"\tfrwiki | 26-30 days | 2 | 0.01307190 |
\n",
"\tfrwiki | 31-35 days | 2 | 0.01307190 |
\n",
"\tfrwiki | 36-40 days | 3 | 0.01960784 |
\n",
"\tfrwiki | 46-50 days | 3 | 0.01960784 |
\n",
"\tfrwiki | over 50 days | 4 | 0.02614379 |
\n",
"\thuwiki | 1-5 days | 27 | 0.62790698 |
\n",
"\thuwiki | 6-10 days | 2 | 0.04651163 |
\n",
"\thuwiki | 11-15 days | 1 | 0.02325581 |
\n",
"\thuwiki | 16-20 days | 5 | 0.11627907 |
\n",
"\thuwiki | 21-25 days | 1 | 0.02325581 |
\n",
"\thuwiki | 26-30 days | 1 | 0.02325581 |
\n",
"\thuwiki | 31-35 days | 2 | 0.04651163 |
\n",
"\thuwiki | 36-40 days | 1 | 0.02325581 |
\n",
"\thuwiki | 41-45 days | 1 | 0.02325581 |
\n",
"\thuwiki | over 50 days | 2 | 0.04651163 |
\n",
"\tnlwiki | 1-5 days | 29 | 0.59183673 |
\n",
"\tnlwiki | 6-10 days | 9 | 0.18367347 |
\n",
"\tnlwiki | 11-15 days | 2 | 0.04081633 |
\n",
"\tnlwiki | 16-20 days | 1 | 0.02040816 |
\n",
"\tnlwiki | 26-30 days | 1 | 0.02040816 |
\n",
"\tnlwiki | 31-35 days | 3 | 0.06122449 |
\n",
"\tnlwiki | 41-45 days | 1 | 0.02040816 |
\n",
"\tnlwiki | 46-50 days | 1 | 0.02040816 |
\n",
"\tnlwiki | over 50 days | 2 | 0.04081633 |
\n",
"\n",
"
\n"
],
"text/latex": [
"A grouped\\_df: 40 × 4\n",
"\\begin{tabular}{llll}\n",
" wiki & days\\_activity\\_group & n\\_users & percent\\_reply\\_users\\\\\n",
" & & & \\\\\n",
"\\hline\n",
"\t arwiki & 1-5 days & 55 & 0.66265060\\\\\n",
"\t arwiki & 6-10 days & 7 & 0.08433735\\\\\n",
"\t arwiki & 11-15 days & 2 & 0.02409639\\\\\n",
"\t arwiki & 16-20 days & 2 & 0.02409639\\\\\n",
"\t arwiki & 21-25 days & 3 & 0.03614458\\\\\n",
"\t arwiki & 26-30 days & 1 & 0.01204819\\\\\n",
"\t arwiki & 31-35 days & 4 & 0.04819277\\\\\n",
"\t arwiki & 36-40 days & 1 & 0.01204819\\\\\n",
"\t arwiki & 41-45 days & 3 & 0.03614458\\\\\n",
"\t arwiki & 46-50 days & 2 & 0.02409639\\\\\n",
"\t arwiki & over 50 days & 3 & 0.03614458\\\\\n",
"\t frwiki & 1-5 days & 113 & 0.73856209\\\\\n",
"\t frwiki & 6-10 days & 11 & 0.07189542\\\\\n",
"\t frwiki & 11-15 days & 6 & 0.03921569\\\\\n",
"\t frwiki & 16-20 days & 4 & 0.02614379\\\\\n",
"\t frwiki & 21-25 days & 5 & 0.03267974\\\\\n",
"\t frwiki & 26-30 days & 2 & 0.01307190\\\\\n",
"\t frwiki & 31-35 days & 2 & 0.01307190\\\\\n",
"\t frwiki & 36-40 days & 3 & 0.01960784\\\\\n",
"\t frwiki & 46-50 days & 3 & 0.01960784\\\\\n",
"\t frwiki & over 50 days & 4 & 0.02614379\\\\\n",
"\t huwiki & 1-5 days & 27 & 0.62790698\\\\\n",
"\t huwiki & 6-10 days & 2 & 0.04651163\\\\\n",
"\t huwiki & 11-15 days & 1 & 0.02325581\\\\\n",
"\t huwiki & 16-20 days & 5 & 0.11627907\\\\\n",
"\t huwiki & 21-25 days & 1 & 0.02325581\\\\\n",
"\t huwiki & 26-30 days & 1 & 0.02325581\\\\\n",
"\t huwiki & 31-35 days & 2 & 0.04651163\\\\\n",
"\t huwiki & 36-40 days & 1 & 0.02325581\\\\\n",
"\t huwiki & 41-45 days & 1 & 0.02325581\\\\\n",
"\t huwiki & over 50 days & 2 & 0.04651163\\\\\n",
"\t nlwiki & 1-5 days & 29 & 0.59183673\\\\\n",
"\t nlwiki & 6-10 days & 9 & 0.18367347\\\\\n",
"\t nlwiki & 11-15 days & 2 & 0.04081633\\\\\n",
"\t nlwiki & 16-20 days & 1 & 0.02040816\\\\\n",
"\t nlwiki & 26-30 days & 1 & 0.02040816\\\\\n",
"\t nlwiki & 31-35 days & 3 & 0.06122449\\\\\n",
"\t nlwiki & 41-45 days & 1 & 0.02040816\\\\\n",
"\t nlwiki & 46-50 days & 1 & 0.02040816\\\\\n",
"\t nlwiki & over 50 days & 2 & 0.04081633\\\\\n",
"\\end{tabular}\n"
],
"text/markdown": [
"\n",
"A grouped_df: 40 × 4\n",
"\n",
"| wiki <chr> | days_activity_group <fct> | n_users <int> | percent_reply_users <dbl> |\n",
"|---|---|---|---|\n",
"| arwiki | 1-5 days | 55 | 0.66265060 |\n",
"| arwiki | 6-10 days | 7 | 0.08433735 |\n",
"| arwiki | 11-15 days | 2 | 0.02409639 |\n",
"| arwiki | 16-20 days | 2 | 0.02409639 |\n",
"| arwiki | 21-25 days | 3 | 0.03614458 |\n",
"| arwiki | 26-30 days | 1 | 0.01204819 |\n",
"| arwiki | 31-35 days | 4 | 0.04819277 |\n",
"| arwiki | 36-40 days | 1 | 0.01204819 |\n",
"| arwiki | 41-45 days | 3 | 0.03614458 |\n",
"| arwiki | 46-50 days | 2 | 0.02409639 |\n",
"| arwiki | over 50 days | 3 | 0.03614458 |\n",
"| frwiki | 1-5 days | 113 | 0.73856209 |\n",
"| frwiki | 6-10 days | 11 | 0.07189542 |\n",
"| frwiki | 11-15 days | 6 | 0.03921569 |\n",
"| frwiki | 16-20 days | 4 | 0.02614379 |\n",
"| frwiki | 21-25 days | 5 | 0.03267974 |\n",
"| frwiki | 26-30 days | 2 | 0.01307190 |\n",
"| frwiki | 31-35 days | 2 | 0.01307190 |\n",
"| frwiki | 36-40 days | 3 | 0.01960784 |\n",
"| frwiki | 46-50 days | 3 | 0.01960784 |\n",
"| frwiki | over 50 days | 4 | 0.02614379 |\n",
"| huwiki | 1-5 days | 27 | 0.62790698 |\n",
"| huwiki | 6-10 days | 2 | 0.04651163 |\n",
"| huwiki | 11-15 days | 1 | 0.02325581 |\n",
"| huwiki | 16-20 days | 5 | 0.11627907 |\n",
"| huwiki | 21-25 days | 1 | 0.02325581 |\n",
"| huwiki | 26-30 days | 1 | 0.02325581 |\n",
"| huwiki | 31-35 days | 2 | 0.04651163 |\n",
"| huwiki | 36-40 days | 1 | 0.02325581 |\n",
"| huwiki | 41-45 days | 1 | 0.02325581 |\n",
"| huwiki | over 50 days | 2 | 0.04651163 |\n",
"| nlwiki | 1-5 days | 29 | 0.59183673 |\n",
"| nlwiki | 6-10 days | 9 | 0.18367347 |\n",
"| nlwiki | 11-15 days | 2 | 0.04081633 |\n",
"| nlwiki | 16-20 days | 1 | 0.02040816 |\n",
"| nlwiki | 26-30 days | 1 | 0.02040816 |\n",
"| nlwiki | 31-35 days | 3 | 0.06122449 |\n",
"| nlwiki | 41-45 days | 1 | 0.02040816 |\n",
"| nlwiki | 46-50 days | 1 | 0.02040816 |\n",
"| nlwiki | over 50 days | 2 | 0.04081633 |\n",
"\n"
],
"text/plain": [
" wiki days_activity_group n_users percent_reply_users\n",
"1 arwiki 1-5 days 55 0.66265060 \n",
"2 arwiki 6-10 days 7 0.08433735 \n",
"3 arwiki 11-15 days 2 0.02409639 \n",
"4 arwiki 16-20 days 2 0.02409639 \n",
"5 arwiki 21-25 days 3 0.03614458 \n",
"6 arwiki 26-30 days 1 0.01204819 \n",
"7 arwiki 31-35 days 4 0.04819277 \n",
"8 arwiki 36-40 days 1 0.01204819 \n",
"9 arwiki 41-45 days 3 0.03614458 \n",
"10 arwiki 46-50 days 2 0.02409639 \n",
"11 arwiki over 50 days 3 0.03614458 \n",
"12 frwiki 1-5 days 113 0.73856209 \n",
"13 frwiki 6-10 days 11 0.07189542 \n",
"14 frwiki 11-15 days 6 0.03921569 \n",
"15 frwiki 16-20 days 4 0.02614379 \n",
"16 frwiki 21-25 days 5 0.03267974 \n",
"17 frwiki 26-30 days 2 0.01307190 \n",
"18 frwiki 31-35 days 2 0.01307190 \n",
"19 frwiki 36-40 days 3 0.01960784 \n",
"20 frwiki 46-50 days 3 0.01960784 \n",
"21 frwiki over 50 days 4 0.02614379 \n",
"22 huwiki 1-5 days 27 0.62790698 \n",
"23 huwiki 6-10 days 2 0.04651163 \n",
"24 huwiki 11-15 days 1 0.02325581 \n",
"25 huwiki 16-20 days 5 0.11627907 \n",
"26 huwiki 21-25 days 1 0.02325581 \n",
"27 huwiki 26-30 days 1 0.02325581 \n",
"28 huwiki 31-35 days 2 0.04651163 \n",
"29 huwiki 36-40 days 1 0.02325581 \n",
"30 huwiki 41-45 days 1 0.02325581 \n",
"31 huwiki over 50 days 2 0.04651163 \n",
"32 nlwiki 1-5 days 29 0.59183673 \n",
"33 nlwiki 6-10 days 9 0.18367347 \n",
"34 nlwiki 11-15 days 2 0.04081633 \n",
"35 nlwiki 16-20 days 1 0.02040816 \n",
"36 nlwiki 26-30 days 1 0.02040816 \n",
"37 nlwiki 31-35 days 3 0.06122449 \n",
"38 nlwiki 41-45 days 1 0.02040816 \n",
"39 nlwiki 46-50 days 1 0.02040816 \n",
"40 nlwiki over 50 days 2 0.04081633 "
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"reply_days_bywiki <- reply_days_activity %>%\n",
" mutate(days_activity_group = cut(days_of_activity, breaks = b, labels = names)) %>%\n",
" group_by(wiki, days_activity_group) %>%\n",
" summarise(n_users = n()) %>%\n",
" mutate(percent_reply_users = n_users/sum(n_users))\n",
"\n",
"reply_days_bywiki\n"
]
},
{
"cell_type": "code",
"execution_count": 569,
"metadata": {},
"outputs": [
{
"data": {
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zeX/kcbExOj/1iFSqUKCQkhhEil0vz8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\nchxXXl7O3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wMDDw6aefv8mdMwAACMBJREFUVi7s+Cgwp00S0fTp09UfnTBhQvfu3Yno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\n2HvMJKqKAAAAAElFTkSuQmCC",
"text/plain": [
"plot without title"
]
},
"metadata": {
"image/png": {
"height": 420,
"width": 600
},
"text/plain": {
"height": 420,
"width": 600
}
},
"output_type": "display_data"
}
],
"source": [
"# numbers of days by wiki\n",
"\n",
"p <- reply_days_bywiki %>%\n",
" ggplot(aes(x=days_activity_group, y = percent_reply_users)) +\n",
" geom_col(fill= 'darkblue') +\n",
" scale_y_continuous(labels = percent) +\n",
" facet_wrap(~wiki) +\n",
" labs (y = \"Percent of reply tool users\",\n",
" x = \"Distinct days of activity\",\n",
" title = \"Reply tool users by days of activity and wiki\",\n",
" subtitle = \"31 March through 30 June 2020\") +\n",
" theme_bw() +\n",
" theme(\n",
" plot.title = element_text(hjust = 0.5),\n",
" text = element_text(size=16),\n",
" axis.text.x = element_text(angle=45, hjust=1),\n",
" legend.position = \"none\") \n",
" \n",
" \n",
"p\n"
]
},
{
"cell_type": "code",
"execution_count": 570,
"metadata": {},
"outputs": [],
"source": [
"ggsave(\"Figures/reply_days_activity_bywiki.png\", p, width = 16, height = 8, units = \"in\", dpi = 300)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"On each partner wiki, the majority of reply tool users made their edits between 1 to 5 distinct days. The number of users generally decreases as the number of distinct days increase. A few notable exceptions:\n",
"- Hungarian Wikipedia has a higher percentage of users that edited between 16-20 distinct days compared to 6-10 or 11-16 days. \n",
"- Dutch Wikipedia has a larger percentage of users that edited between 6-10 days compared to the other partner wikis."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# How many people have had access to the Reply tool? "
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## How many distinct people have explicitly turned on or turned off the Beta Feature? "
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"\n",
"Notes: \n",
"- Data comes from the PrefUpdate table. We reviewed data available at the time of this analysis from 31 March until June 26th. \n",
"- \"Explicitly\" turned on indicates users did not have the Automatically enable all new beta features preference checked. Note explicilty turned off could include users that were auto enrolled and then turned off the feature.\n",
"- There are several data QA issues with the PrefUpdate that may impact the results. \n",
" - We are missing some prefupdate data starting on 2020-05-11 through 2020-06-05. https://phabricator.wikimedia.org/T253151. This is annotated on the figures below. \n",
" - The schema contains multiple identical events for the same preference update https://phabricator.wikimedia.org/T218835. I identified over 100 duplicate events for the discussiontool-betaenable prooerty. \n",
" - The isDefault filed is recording both preference change states as False. This may be due to an error in how the default state is being recorded in user properties. Further investigation is needed. https://phabricator.wikimedia.org/T258971"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Total number of distinct users that explicilty turned on or turned off the beta feature \n",
"\n",
"For the analysis below:\n",
"- \"Explicitly Turned On\": Includes only users that were not auto-enrolled in the beta feature.\n",
"- \"Explcitly Turned Off\": Includes both users that explicilty turned on the feature and that were auto enrolled."
]
},
{
"cell_type": "code",
"execution_count": 558,
"metadata": {},
"outputs": [],
"source": [
"query <- \"\n",
"SELECT\n",
" event.userid as user_id,\n",
" wiki,\n",
" event.value as beta_selection,\n",
" min(CONCAT(year, '-', LPAD(month, 2, '0'), '-', LPAD(day, 2, '0'))) as date,\n",
" Count(*) as n_opt\n",
"FROM event_sanitized.prefupdate \n",
"WHERE \n",
" event.property = 'discussiontools-betaenable' AND\n",
" wiki IN ('arwiki','nlwiki', 'frwiki', 'huwiki') AND\n",
" CONCAT(year, '-', LPAD(month, 2, '0'), '-', LPAD(day, 2, '0')) >= '2020-03-31' AND\n",
" CONCAT(year, '-', LPAD(month, 2, '0'), '-', LPAD(day, 2, '0')) <= '2020-06-30'\n",
"GROUP BY\n",
" event.userid,\n",
" wiki,\n",
" event.value\n",
"\""
]
},
{
"cell_type": "code",
"execution_count": 559,
"metadata": {},
"outputs": [],
"source": [
"beta_selection_rate <- wmf::query_hive(query)"
]
},
{
"cell_type": "code",
"execution_count": 572,
"metadata": {},
"outputs": [],
"source": [
"beta_selection_rate$date <- as.Date(beta_selection_rate$date, format = \"%Y-%m-%d\")"
]
},
{
"cell_type": "code",
"execution_count": 577,
"metadata": {},
"outputs": [],
"source": [
"beta_selection_rate$beta_selection <- ifelse(beta_selection_rate$beta_selection == '\\\"0\\\"', \"turned off\", \"turned on\")"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Number of distinct users overall"
]
},
{
"cell_type": "code",
"execution_count": 578,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"\n",
"A tibble: 2 × 2\n",
"\n",
"\tbeta_selection | n_users |
\n",
"\t<chr> | <int> |
\n",
"\n",
"\n",
"\tturned off | 4525 |
\n",
"\tturned on | 2132 |
\n",
"\n",
"
\n"
],
"text/latex": [
"A tibble: 2 × 2\n",
"\\begin{tabular}{ll}\n",
" beta\\_selection & n\\_users\\\\\n",
" & \\\\\n",
"\\hline\n",
"\t turned off & 4525\\\\\n",
"\t turned on & 2132\\\\\n",
"\\end{tabular}\n"
],
"text/markdown": [
"\n",
"A tibble: 2 × 2\n",
"\n",
"| beta_selection <chr> | n_users <int> |\n",
"|---|---|\n",
"| turned off | 4525 |\n",
"| turned on | 2132 |\n",
"\n"
],
"text/plain": [
" beta_selection n_users\n",
"1 turned off 4525 \n",
"2 turned on 2132 "
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"total_distinct_users <- beta_selection_rate %>%\n",
" group_by(beta_selection) %>%\n",
" summarise(n_users = n())\n",
"\n",
"total_distinct_users"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Number of distinct users by wiki"
]
},
{
"cell_type": "code",
"execution_count": 579,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"\n",
"A grouped_df: 8 × 3\n",
"\n",
"\twiki | beta_selection | n_users |
\n",
"\t<chr> | <chr> | <int> |
\n",
"\n",
"\n",
"\tarwiki | turned off | 1473 |
\n",
"\tarwiki | turned on | 581 |
\n",
"\tfrwiki | turned off | 2298 |
\n",
"\tfrwiki | turned on | 1192 |
\n",
"\thuwiki | turned off | 296 |
\n",
"\thuwiki | turned on | 140 |
\n",
"\tnlwiki | turned off | 458 |
\n",
"\tnlwiki | turned on | 219 |
\n",
"\n",
"
\n"
],
"text/latex": [
"A grouped\\_df: 8 × 3\n",
"\\begin{tabular}{lll}\n",
" wiki & beta\\_selection & n\\_users\\\\\n",
" & & \\\\\n",
"\\hline\n",
"\t arwiki & turned off & 1473\\\\\n",
"\t arwiki & turned on & 581\\\\\n",
"\t frwiki & turned off & 2298\\\\\n",
"\t frwiki & turned on & 1192\\\\\n",
"\t huwiki & turned off & 296\\\\\n",
"\t huwiki & turned on & 140\\\\\n",
"\t nlwiki & turned off & 458\\\\\n",
"\t nlwiki & turned on & 219\\\\\n",
"\\end{tabular}\n"
],
"text/markdown": [
"\n",
"A grouped_df: 8 × 3\n",
"\n",
"| wiki <chr> | beta_selection <chr> | n_users <int> |\n",
"|---|---|---|\n",
"| arwiki | turned off | 1473 |\n",
"| arwiki | turned on | 581 |\n",
"| frwiki | turned off | 2298 |\n",
"| frwiki | turned on | 1192 |\n",
"| huwiki | turned off | 296 |\n",
"| huwiki | turned on | 140 |\n",
"| nlwiki | turned off | 458 |\n",
"| nlwiki | turned on | 219 |\n",
"\n"
],
"text/plain": [
" wiki beta_selection n_users\n",
"1 arwiki turned off 1473 \n",
"2 arwiki turned on 581 \n",
"3 frwiki turned off 2298 \n",
"4 frwiki turned on 1192 \n",
"5 huwiki turned off 296 \n",
"6 huwiki turned on 140 \n",
"7 nlwiki turned off 458 \n",
"8 nlwiki turned on 219 "
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"total_distinct_users_bywiki <- beta_selection_rate %>%\n",
" group_by(wiki, beta_selection) %>%\n",
" summarise(n_users = n())\n",
"\n",
"total_distinct_users_bywiki"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Number of times the feature was turned on and off again overall"
]
},
{
"cell_type": "code",
"execution_count": 580,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"\n",
"A tibble: 2 × 2\n",
"\n",
"\tbeta_selection | n_opt |
\n",
"\t<chr> | <int> |
\n",
"\n",
"\n",
"\tturned off | 4651 |
\n",
"\tturned on | 2465 |
\n",
"\n",
"
\n"
],
"text/latex": [
"A tibble: 2 × 2\n",
"\\begin{tabular}{ll}\n",
" beta\\_selection & n\\_opt\\\\\n",
" & \\\\\n",
"\\hline\n",
"\t turned off & 4651\\\\\n",
"\t turned on & 2465\\\\\n",
"\\end{tabular}\n"
],
"text/markdown": [
"\n",
"A tibble: 2 × 2\n",
"\n",
"| beta_selection <chr> | n_opt <int> |\n",
"|---|---|\n",
"| turned off | 4651 |\n",
"| turned on | 2465 |\n",
"\n"
],
"text/plain": [
" beta_selection n_opt\n",
"1 turned off 4651 \n",
"2 turned on 2465 "
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"total_beta_selections <- beta_selection_rate %>%\n",
" group_by(beta_selection) %>%\n",
" summarise(n_opt = sum(n_opt))\n",
"\n",
"total_beta_selections"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Number of times the feature was turned on and off again by wiki"
]
},
{
"cell_type": "code",
"execution_count": 582,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"\n",
"A grouped_df: 8 × 3\n",
"\n",
"\twiki | beta_selection | n_opt |
\n",
"\t<chr> | <chr> | <int> |
\n",
"\n",
"\n",
"\tarwiki | turned off | 1542 |
\n",
"\tarwiki | turned on | 745 |
\n",
"\tfrwiki | turned off | 2340 |
\n",
"\tfrwiki | turned on | 1329 |
\n",
"\thuwiki | turned off | 302 |
\n",
"\thuwiki | turned on | 152 |
\n",
"\tnlwiki | turned off | 467 |
\n",
"\tnlwiki | turned on | 239 |
\n",
"\n",
"
\n"
],
"text/latex": [
"A grouped\\_df: 8 × 3\n",
"\\begin{tabular}{lll}\n",
" wiki & beta\\_selection & n\\_opt\\\\\n",
" & & \\\\\n",
"\\hline\n",
"\t arwiki & turned off & 1542\\\\\n",
"\t arwiki & turned on & 745\\\\\n",
"\t frwiki & turned off & 2340\\\\\n",
"\t frwiki & turned on & 1329\\\\\n",
"\t huwiki & turned off & 302\\\\\n",
"\t huwiki & turned on & 152\\\\\n",
"\t nlwiki & turned off & 467\\\\\n",
"\t nlwiki & turned on & 239\\\\\n",
"\\end{tabular}\n"
],
"text/markdown": [
"\n",
"A grouped_df: 8 × 3\n",
"\n",
"| wiki <chr> | beta_selection <chr> | n_opt <int> |\n",
"|---|---|---|\n",
"| arwiki | turned off | 1542 |\n",
"| arwiki | turned on | 745 |\n",
"| frwiki | turned off | 2340 |\n",
"| frwiki | turned on | 1329 |\n",
"| huwiki | turned off | 302 |\n",
"| huwiki | turned on | 152 |\n",
"| nlwiki | turned off | 467 |\n",
"| nlwiki | turned on | 239 |\n",
"\n"
],
"text/plain": [
" wiki beta_selection n_opt\n",
"1 arwiki turned off 1542 \n",
"2 arwiki turned on 745 \n",
"3 frwiki turned off 2340 \n",
"4 frwiki turned on 1329 \n",
"5 huwiki turned off 302 \n",
"6 huwiki turned on 152 \n",
"7 nlwiki turned off 467 \n",
"8 nlwiki turned on 239 "
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"total_beta_selections_bywiki <- beta_selection_rate %>%\n",
" group_by(wiki,beta_selection) %>%\n",
" summarise(n_opt = sum(n_opt))\n",
"\n",
"total_beta_selections_bywiki"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"The reply tool feature was turned off by 4,525 distinct users and turned on by 2,132 distinct users. Several of these users turned the feature on and off multiple times. The feature was turned off a total of 4,651 times and turned on a total 2,465 times. \n",
"\n",
"The number of users that turned the feature off is higher than those that turned it on because a large portion of those users were auto enrolled in the feature. \n",
"\n",
"Note we are missing data from 05 May 2020 through 2020 June 05 so this is an underestimate of the total number of users that enabled the feature."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Number distinct users that turned on or turned off the beta feature once \n",
"\n",
"The analysis below excludes any users that turned off or on the beta feature more than once."
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"# Find all users that turned on the beta feature or turned the feature off only once \n",
"# Do not count users again if they re-turned it on or off again.\n",
"\n",
"# In terminal\n",
"# spark2R --master yarn --executor-memory 2G --executor-cores 1 --driver-memory 4G\n",
"query <- \"\n",
"-- find number of opt in or opt outs by beta users\n",
"SELECT\n",
" wiki,\n",
" date,\n",
" sum(cast(beta_selection = '\\\"1\\\"' as int)) as opt_in_users,\n",
" sum(cast(beta_selection = '\\\"0\\\"' as int)) as opt_out_users\n",
"FROM\n",
"(\n",
"SELECT\n",
" event.userid as user_id,\n",
" wiki,\n",
" event.value as beta_selection,\n",
" min(CONCAT(year, '-', LPAD(month, 2, '0'), '-', LPAD(day, 2, '0'))) as date,\n",
" Count(*) as n_opt\n",
"FROM event_sanitized.prefupdate \n",
"WHERE \n",
" event.property = 'discussiontools-betaenable' AND\n",
" wiki IN ('arwiki','nlwiki', 'frwiki', 'huwiki') AND\n",
" CONCAT(year, '-', LPAD(month, 2, '0'), '-', LPAD(day, 2, '0')) >= '2020-03-31' AND\n",
" CONCAT(year, '-', LPAD(month, 2, '0'), '-', LPAD(day, 2, '0')) <= '2020-06-30'\n",
"GROUP BY\n",
" event.userid,\n",
" wiki,\n",
" event.value\n",
") as events\n",
"WHERE n_opt = 1\n",
"GROUP BY \n",
" wiki,\n",
" date\n",
"\n",
"\"\n",
"results <- collect(sql(query))\n",
"save(results, file=\"Data/opt_in_once.RData\")\n",
"\n"
]
},
{
"cell_type": "code",
"execution_count": 541,
"metadata": {},
"outputs": [],
"source": [
"load(\"Data/opt_in_once.RData\")\n",
"opt_rate_once <- results"
]
},
{
"cell_type": "code",
"execution_count": 542,
"metadata": {},
"outputs": [],
"source": [
"opt_rate_once$date <- as.Date(opt_rate_once$date, format = \"%Y-%m-%d\")"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"opt_rate_once_clean <- opt_rate_once %>%\n",
" gather(\"beta_selection\", \"n_users\", 3:4)"
]
},
{
"cell_type": "code",
"execution_count": 548,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"\n",
"A tibble: 2 × 2\n",
"\n",
"\tbeta_selection | n_users |
\n",
"\t<chr> | <dbl> |
\n",
"\n",
"\n",
"\topt_in_users | 1895 |
\n",
"\topt_out_users | 4427 |
\n",
"\n",
"
\n"
],
"text/latex": [
"A tibble: 2 × 2\n",
"\\begin{tabular}{ll}\n",
" beta\\_selection & n\\_users\\\\\n",
" & \\\\\n",
"\\hline\n",
"\t opt\\_in\\_users & 1895\\\\\n",
"\t opt\\_out\\_users & 4427\\\\\n",
"\\end{tabular}\n"
],
"text/markdown": [
"\n",
"A tibble: 2 × 2\n",
"\n",
"| beta_selection <chr> | n_users <dbl> |\n",
"|---|---|\n",
"| opt_in_users | 1895 |\n",
"| opt_out_users | 4427 |\n",
"\n"
],
"text/plain": [
" beta_selection n_users\n",
"1 opt_in_users 1895 \n",
"2 opt_out_users 4427 "
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"#Note. We are missing data at end of july so the numbers are likely lower than reported here.\n",
"opt_rate_once_overall <- opt_rate_once_clean %>%\n",
" group_by(beta_selection) %>%\n",
" summarise(n_users = sum(n_users))\n",
"\n",
"opt_rate_overall"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"We recorded a total of 1,895 users that explicitly turned on the beta feature just once since deployed on March 31 through June 30, 2019. 4,427 users turned the feature off once (This includes both users that had turned it on as well as anyone that had the feature automatically turned on for them).\n",
"\n",
"As mentioned above, we are missing data from 05 May 2020 through 2020 June 05 so this is an underestimate of the total number of users that enabled or disabled the feature. \n",
"\n"
]
},
{
"cell_type": "code",
"execution_count": 584,
"metadata": {},
"outputs": [
{
"data": {
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KREv06XLl283rV169bu3bt79bXz0q1bN/3T1q1b2+32ioqKjIyM4PbE2KZ8g9y5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FB1B4klFzs9khkeBEZbuOg8Q5iRZdswGBid\nFlOqHA9DIBAIH3E6f/VuUhtTzFPGH6qddfWJU3XQBOvZcz0tRuO7FaWOGRIEwg1azwv54Azh\nCGltNhgrnAUJjZDnRLlCIQmKlfu9WRmv9PRxF5ENLtKDgF8yygDQZTK7CXXgelEAQLo4ejKE\nMPEEcWdm+p2Z6Y0T+tf7Bt4dGBrjz12F14uyzImP/3pssivV9zbC/41peiFby6DVi7IsUMYn\niUVcovircc0FKUkAgDrdxBt9A+8NDsFZwTf6Bu7OynD+QmGMy8hkxYoVjjv//Oc/w5ujo6PX\nXnut17dwpVL5xBNPcJtZWZPRSEtLy5NPPvmTn/zk17/+dXt7+8svv0zT9Jo1a7z7K+EAXDKq\nIHA/XhmxrGy8oJA+O2kqSu3/gbjgIuAseKYhS3ogEvFivynwdN43mBnoRwEhAoEIEARBKJWT\n2YbVq1d/8MEHAGUOBZAtleyeXX1r8+kPh0a4nZ8Mjy4+evzTqoo8vuk2AuEGLzKEtfHxchzn\nykH3abTOA8IJSGI08PWiLDPjFD/LSHu7fxAAcGliwjUpya6OzJNJMQC4yWun2X1AaFOUEWFY\nSpQGhBw18XF/Lyn8c1HBB0PDb/QN/DCuZQCQ4fgDOU7mjW6oVcbZAkKfM4RwvWiWVPIjD6NT\nHyEw7NLEhK2Dw+zm5+OazN7+N/oGnP5fdbqJoxP6OQHum/U7LgPC7du3B/pvEwRRWOjEVvuj\njz7Kzs5mi1Hz8/P7+vp27tx53XXXSaWRep/zuys9DLHoQi4gZEaG6ZZTePlMx8MYqF4Uz8oB\nTochV2AqNaOdVJRiBvpAcal/R4tAIBAKhcJgMNA0rdFoAAA0TXN3nMTERLenIgAAQEHg2yvL\nHzvT+VRnNzepbZzQL6hv2FFVsZBvU4FAuMKLHkIJjs1Xxe+ecmPbq9HekZnueBicIQy0ogzM\nm2Ulq9NSzDR9RXKSm7UlGY6nSyT9U6k/922EsMRoilgclGRn6JHj+C3pabekp7Uajfs0uqUJ\n6gIPF5vgNsImg8FM01JcUJ+aI3qK2jFsW/+6KS3VUTk20FyelMgFhHUT+rrT7U4PUxD4dakp\ncd7+pyHEZXCyatWqQP9tnU536623Wq3WnJycq6++evHixez+U6dOLV26lDustrZ269atHR0d\nFRUV3Ind3d3cARRFURTlkfeO77B5UavVKmQ9exSqN1AThJ+HWl6JqdWMZjKKs+77HncWxVFd\nZ7nHTHauyzGkZYCpgJDq62GmDvPU3ShCYZsxaJqOhX+Wpmngocp/5ML9YEM9kIDDfqxh/oPV\naDTJyck6nc6uwEStVg8MDAgfuUQiSUhIEIlE4fzP+gvHm86G3OxSqfSutjNcB9SAhfzRsROb\nimfcFBR7roAS5t9hf+HLTcfuFMdXcP+aeoqy2TOIxMqEBKlUKmQYC+NtAeEejdbxlDGrtQsK\nsSplMvaY4Nx0LmUXRCjK/X+SJ7UFhGcNRjf/eJ/J5u+SLhZ6tYmam84MsXhGShJw/b+4uunU\nyG1mjxaaadDqar1dGvhgcHgC+trclJIU/Df2x6p4OKvsyOw4xR0ZaTemprCWnuH20U87npBZ\nAOfm5q5bty4/P99isXz//ffPPPPMnXfeuXz5coZhxsfH4UVi9vHo6Ci358iRIw899BC3WVRU\npNVqp/XPCQQajWb6gwDohzRa4wHj96FKq2ZL9n7PPmZON2vPtNOJ/EoJiorv6+EiV0NSstXF\nGKTqBK5d2trTbZg6jKKokLzDIcFkMplMsWLwpdO5lImLPmLnO2yxWCz8vpdwo719cnn1H//4\nx5EjR95++21206PP6Kabbrrppps8PSuisbvp/FQi+qgg52ddPZxXsommbzvdfmxs7JH01IjO\nZKCbjnsYhpFIJGAq8OA2uWfBdL+LAXiCeN75nx0/USGTCnnPZ0FSt21GU9vwSApfO30/X1Iy\nnyLhlw2Tm04GtJrfNjHh5h/vgsoCkzDPrjax8x12vOkkM0BJ4Dpqcrlq79BwoZV0dur0bIe0\nlGfKpLmkZXw82Dc4OQCVMukJh2SyksBXqlVrEtWz5TIAADOhC8+PnCSnefM9CAiHhoba29tH\nRkbs1nSvvPJKL0ZWU1NTU1PDPq6urtbr9R9++OHy5cuFnJudnb1y5Upus7m5WSqVymQyN6f4\nHZIkKYoS+EcNmO3qmSiW+H+oCxaBA3sAu3zCMPITDdSlP4Wfx3u7MWhxRVxQKHIxBjwz2/Z4\nZFgmlQIMM5lMGIZFbsmucGiatlgsIpFI5O/K3jCE/Q5LJBI8AmsbPIW1QY+F7zDDMGazmSAI\ncRg3uqhUKoIgxsbGAAC/+c1vuP0JCQk0TWu1Qr31rFar1WoVi8VEDIipuLrpLJHJvo+LW91+\n9oTByO5hAHhhaLTDSr1WkAfbVEQQsXPToSiKJEnvbjp2kzFHQQf3kw0zf2qbqpDLhOlnXiAS\nY1O1ygwAx6zWK/mZn9NaWwSVKhblTZUOsj/YMLnpzFDIwZTDXo/V3XRuFHpfM2UygVM4dNMB\nANQo5Ht1k8XDJy2kd7NfkmF2QxXIq1OSgjzh51iZnHSix6bAPz9O8fPU5GuTEhRh8H2elmnv\nkoIuQGNjY/fee+/WrVtpZ8q8ftGFq6io2Lt3r9VqFYlECQkJ7ESB++sAgKQkm99IaWnp73//\ne27zrrvuUigU8fEupXIDgVarpSgqLi5OSMmoHjomWSr1/1Dj48nq2fSxOnYLb6iTX3ENgK7s\n1PCgbSVQLo/LzXcqPAMAoPPyuTUEzGyKoylMnWAymQiCCPI7HBLYJS6JRKIIvEZ2yJmYmKAo\nSqFQxEj0yzBMLHyHKYoym80ikSic/1mGYSiKchwhTdMefUxGo9FqtcpksliYdbm56VTEg/0J\n6ptPnf5k2FZKs3NM0209s7OqIlsaeSr5MXXTIUnS05uOQO0l928gyfcqyVSp44WZJMcDUBGn\naJpKA9aZyRv4f6ilp597PCs+nhuGXq+3Wq1hctMpVsaDqbxTN0m6ea9GGNvUN1suF/i1RDcd\nAMB8tZoLCI+bzd69G9+Pa7g0IwDg6oz0+BDptTxaFDdOU3s02kVq9V05WVXBUkvyC/7JEK5b\nt27r1q0rVqy46KKL4MDMj5w6dYptBQEAVFRU1NfX33HHHexT9fX1MpnMqfxMpABL9yaKA3Id\nJBYu4QJCYDRSRw8T5y3mnmXO2SRG8dwCV9EgAABPzwQYBqaCfGagD1MnuDoYgUAgEOFAPEF8\nXFWx8WzXxrPnuJ11uon5dQ07qyvmK6N/VhpTOF2d9xRYUQYHwKkvuSsWq5RcQLhXY5/Sb4A8\nBmaHq9Yi7E3fY7ZQDONKp6QPcjvIiDoTwoACK202ThhIhhF7Lgbz5aitBjNDIgmmRpEdEhx7\nOi9Hr9crlcroW4UUFJx89tlna9as2bx5sx//8EsvvVRRUZGZmWmxWHbv3r13796f//zn7FMr\nV6783e9+t2nTpssvv7yjo2PHjh3XXHNNRL/1Gp7KaEBKm/CCQiwnj5MSpfbuJhYs4gI/GgoI\nnVrS25DJMHUCMz6ZoWUG+kFpRSAGjEAgYg2xWAxPZO0qWBiGQT6EvoABsKEgr0whv725jZOZ\n6bNYLjx6/I2y4puDa9uFCH80kOqKUrWOUJoAACAASURBVER4JJ65WK16vW+AfVw/oTfRtGyq\nao5imJMGyHMiPkyzKHnQrJJkmF6LJdfFPBNWGU2XhG8pfhhSCy1FmWi62WCs9jyr9uWorWbw\nJ0kJEd0aHc4ICggJgpg3b55//7BEItm6devIyIhEIsnOzn7ooYeWLFnCPlVWVvboo49u2bJl\n165darV6xYoVrGxA5AL7EPrRld4O4vwLrB+8xz5mBvroM214YQkAAJiMzLDNvwXPzXP/Olh6\nJhQQ9rk/GIFAIAQCq5y5Cv+QD6GP3JiWmi+VrTh5anDKPM1E07ecOn1cb/hTYT56cxEcsJW2\n2sMaTtie3kzTR3QTF0ztaTWaDFCBX01cBGQIAQBdJrPTgJBkmDHSduFCAaFHVCjkCgLnvg/1\nuglPA8J+iwVOOC9LQr5EgULQJeCiiy6qr6/37x/+xS9+8Ytf/MLVs/Pnz58/f75//2IIgQPC\nAGUIAQDE7LnU5zsZw+Qvh9r3AxsQ0uc6ATTxwnKmDQgzQEsT+xgFhAgEwl/gOM4pIgJnsR9B\nENP2OSCmZZFauX9OzfITp05OFfUxADzT1X3GZHq7vEQeCfoHiCAA1y6pPJRlKpbLMiAfv70a\nLRcQNkLTdzGGVYRrQ36CSKQWEdyb0GkyL3ZmdT5gIeGFq3RUMuoJBIbVxMUdmBLvOTqh/5mH\nr/DF6Dj3/hMYdkkiamIKFIJuDM8999yuXbteffVVv5StxyABNaa3IRbj8xdyW/TJRkYzDgBg\nztks6bHEJEypcnIuBJaeaXuR/n6AirgQCIQ/oCiKpmn2PkIQBO2Ap9Hgm2++WVJSsmPHjsCM\nN4IplMv219Zclczr+d82OHzxsRP94e1HgggacMkoffBAUlLSiy++KPz0hazdHwAAgL0am5ME\nbElfrpBLwtjHHa4a7TQ796Yf4P9eMlCG0EPgqtF6yMBDILugetEFyvjkwMhwIIDAgLC4uPil\nl16655571Gp1VVXVbD6BHmKkwwCgo7wvzPAIYuEFgFv9pWnqwB7gUQMhAAAAPMMWEAKLmSsf\nRSAQCL/gL89xk8k0Pj4e5o6LoUJJEDuqyh/IyYR3HtTqFtQ1wiVYiJgFLhmV09TY2JjRaBR+\n+mK1LSDcr9VxK8eNE3ADYZjWi7IUQO4FZx385VgGoVUqAsOSwkAfNbKAdWWOTehpT1IMFMP8\nd8ymKHM5qhcNJIICwm3btq1evZphGLlcbrVaTXwCPcRIR2elKCjJFriSUQAAlpiEl1dym/TB\nfcBKckozAAB8unpRwJaMQqVcqGoUgUAECIlEInIg1IOKHggM+2tx4aulRbCy3zmz+YKjx3dC\nBhWI2EQLLVUrcI9nJnAb4TBJtkzZYMIZwrBtIGSB2wi7XASEAxZbQJgqFrtSIkW4ohYKCHUU\ntVewzSwA4JBuYhRq4FyWhOpFA4igW+/69etzc3M/++yzysrK6Y9G8BnnL4QHNEMIACAWLaGb\njrOPGf0EtftbRqvhnsXyps8QArEES0xiRkcmX2SgD6SkB2CkCAQiduH6CRGB5q6sjBK5fNXJ\nZs4AaYKiVp449VRh/u/yckI7NkQI0UCTEwXhcWdpbXy8HMeNU51EezXacoV83GqFI6uwlRhl\ngQPCThfpDbhkFCnKeEFNfFyqWDw0lWjd3D+4RD1N4xIHXC+aIhbPVyrdHIzwEUGXgDNnztx9\n990oGvSOMX5AmBjggBAvLsNSbfGb9Ztd0HM4np0r5EXgNkKmH2UIEQiEP+GiQUddGaQyGgh+\nlKg+NHdWhULO7aEBeLij88amFhOSBogKvEi2j/sWEEpwbB7UHsa6ETZOGOBlnhBaxglBSA9h\nP5QhRA2EXiDCsOvTUrjNbUPDRsHXnC+ggPCypIQwbkeNBgRdAvLy8lCThtfYZQgDWjIKAAAY\nRixcYtuEyt+x9AwgEWTnyNOVGej33+AQCARiUmW0urpapVKBqfgQFYsGlGK5bG9tzY8TeUKK\n/x4c/nHDCbgoDhFx4DiOYRhJkpQD7k+EewjjPC8ZBfyq0b1aHQCgAaoXTRWLM8NbkxPOEBoo\netiZqFU/L0MY1v9O2LIGMkHVWKnPRwQpUwyT5BGtTYRmGdIXDTCCAsL777//nXfemZjwWB0I\nAfgSo3IclwZe8puYdx6AWqU5cAGKMixYRgb3mBkcQEKjCATCv2AY1tjYCHvTkySJYRiqIw0c\niSLRlzWV92fzZGb2aXTz6o4dRTIzkYkvyXYNr4fQm5kJrCvTajAOWsjj0BcpzNODwMGKsNNZ\nGyG8XJIuRhlCbzhPpSyDyhM2DwwKOeur0XEuk4gBcClqIAwwglZkc3Nz09PTq6ur77777qKi\nIrt13GuuuSYwY4sSeK70wVkCl0qJ2gXUvt12u7EcoQEhDmUIAWnBNeMgJdX14QgEAuENIyMj\nvgSBq1evnjNnzsyZM/07qihGhGF/KymsilPc19pBTr3t3WbLhUePvzez1M6mAhH+cMn2rq4u\njUaD4zhFUWKxWIiKL9xDWHvB4iNHjmRnZ3v01xerVTgA7KydAWC/VgdnCMO8gRAAkC6RyHCc\nq5ruNJnnQkWwLANQ2hD1EHrNzempj5+ZFDj8fGRsmCRTpouud0H6orXK+DDPNkcBguKTFStW\nsA8efvhhx2fRgq57guNKbwexeCm1/we7zJ4HGcK0dIDjYOoqiQ8PooAQgUD4EfjGwT329G6S\nmpqqUCiUSGnAQ9ZmZRTIZNc3tYxDMjMrTjT/cUYekpmJONhke3JyMreHJEkhok2wMX1mUvLc\n0hJP/3SiSFQep2jST/pM/KDRntTbjCvCXGIUAIABkCuVtk6ZbThtIxxAJaP+4Nb0tPVnuthv\nJMkw2waH7+GXKtjBAPDfUdhwAqUHA46ggHD79u2BHkcUow2WCSEMlpKKF5fSrS22XWIJluHu\n58dDJMaSkpnhIXaLGB6aphcBgUAgPGT16tXbtm1jM4RISybIXJaUsHdO9VUnTnUYJ8UVKYZ5\nuKOz3Wh6iW9TgYgIPE22W2gG1hNSebtavVil5ALC9waG9NCEJ8xNCFnyZVBA6FAySjLMGGR7\nkIZKRr0lXyZdrFbt0Ux6TmwZGHIfEB7VTfRBofgy5EAYeATFJ6tWrQr0OKIYOEMYaIlRGGLR\nhXBAiGfnAE+aBLCMTC4gxKYeIBAIhO+wJW27du0CAKxatQpec1Sr1a7PQ/iTmXGKw7WzVp1s\n/nbcZk30et/AKYPxo6ryVDT3jRC8S7ZrKTu5Oy8nJ4vVqtf7BtjH8AxehGGwqm3YwneesA8I\nBy0kLIiZKUUZQu9Zk57KBYT7tbrTBmOp62/IF1B6UCUizlehMpCAE3CBEwQsKhO0klEAAF5e\niSXaGkIwwfWik8dDbYT4sKAOYAQCgRCCxWKhaVqj0QAAtm3bxkCMj49PezrCXySJRV/NqlyX\nlQHv3KPRLqxvPGUwujoLEW6sXr0aTKnIYBgmJN8O14sCAFSEtxlCF55y5Qq5LPASer7D86Z3\nKBkd4AvsI1EZX1idlgKrKr436C7TADsQXpqYgGoWgkAE/FwjHX4PYRB11XGc+NFlk48Jgpg9\n17Oz4YBwdBggryoEAoGIOkQY9nJp0YvFMwhoytVuNJ1X1/CZMHV4RAgRi8UYhnHJdvgp98l2\nDV91xut+lmK5LMNZZ11E1IsCOytCB296WFGGwLBkMbLG8Z5EkeiKZFvl55aBIVdZbK2VOqDV\ncZuXo3rRoCDoyx0fby+7BIPsKNwTsoAQAGLBIiwunu7uImZWYzl5Hp2LpdvWjDGKwsdHQRIS\noEMgEF4ivEsQCZUFn1/mZJUp5Dc0tXCJIx1FXX3i1PNFMx7IEdx8jgg6sEf0tm3bhJ+o4bsU\net1DCABYqFLuGB6x21kTF+4SoyxwhnCEtOooSgklS2HPiRSxiEB5Kt9Yk5760dDkV6XdaDqg\n1S10Vgv637FxEroLXIYcCIOCoAzhJXwuuuiinJwcvV5fWFh4ySWXBHqIkQ5cMqoOYskoC15Z\nI1p2paf1ogAALDUd7jnEhlDVKAKBCC927dp1xx137N+/P9QDiQYuT0r8YU5NATQ/phjml20d\nd51uJ1GIHq7gOC52VscoEolwtxWbsCu9gsAb6upWr1798ccfezEG2I2QI1IyhHZWhOf4bYSw\nK73TRCjCI65ISoKzrJv7nU8s4XrRqjhFHv8zQgQIQQkrp9eIjz76aO3ate+//76/hxRthMCH\n0C8QBJaSygxONovjKCBEIBA+ABew6fV61icNx3HWm95qtbKJQZEnF8m2trZPPvnk2muv9fdg\nY5TqOMXhubOuPdm8e1zL7Xytt/+M0bStsizIFS4IITAMQ1FOVMBpmnafaYdLRtWEqKenZ/v2\n7XPmzPHCWdppG+GssPecYMmRSgkMo6beq06zeSaU2+S50iMTQp+R4Nh1qSmv9vazm1uHhl8o\nniF1WLmAHQhRvWjQ8L6HcOXKlVdfffVvfvMbP44mKtGEwofQL8C6MhjSlUEgED4wDsFGg+vX\nr6coymKxsBoz69evBwAIMdRGBI4UsfirmspbM9Lgnf8dG19Q19iCZGaiCLhk1Jd6UQDAXGW8\nguBNJpPFoqwIEeQUY1gmFOnZCY3yAkJxZPxHYc4t6bZryyhp/WLUvlH5hN7QBX0Ky5ADYbDw\nSVSmpqZmz549/hpKVMLwtbwia4WVFxCiDCECgfAfGIZt2LAB3rNhwwbkRhgOSHH8X+UlLxbP\ngOcHrUbjoqONsEEFIoSIxWKCIIipbjeCjzBXerh2yaeAUIxhc/lKE7MipF6UJV8m4x7bB4Qk\n7EqPMoR+YJFaCbtNbBmw1xr9EgoR4whiiQsZW4Tf8SkgbGxsRPdv90xQlBW6LkdWQIhDRvb4\n2AhwVpcCSJKqO0S++TL5yov0icbgDQ6BQEQyTiesSE4mfPhlTta2yvI4SGBjlLRe1nDy5Z6+\nEI4KwWK1WmmapmkaAMAwDM2H/R25n57BPYRqwteZiV3VaKTUi7K4sSJEJaOB4Ma0FO7xpyOj\nIySvKmQX5EB4cYLasaAUESAEXQWOHDlit2d0dPSLL7546623vCg3jynsrH7U3lr9hAQ4Qwgo\nihkehPcwA/1U/SH60H7GoGf30F1nxbfeiVdUBXmcCAQiEsFxnIb8bNxrYCCCz7WpyTNk0uUn\nTvWYJ/MkVoa5t7Wjw2R+pjAfKS6GEC4H6Cr2IwiChCwTHNFS/pS7s9OVqY6oDCEspNRp5jlP\nDEIBYRoyIfQTa9LT/nD2HLv4Z6GZD4aG75qyQtVT1A8aWwPz5aheNIgICgjnz5/vdP/555//\nt7/9za/jiTbG+f0wkZUhxFJSgUgEpv4Fpr8PS88EZjPVUEcd3Md0d9mfQNPkvzdL7vkVL5JE\nIBAIPgRBUBTFMIzTiWxIhoRwSq0y/lDtrKtPnDqis/lL/eVcT4vB+N7MUiX6sEIEJySDYRhB\nEF503sIloyqfZyYLVSocAG51Z1aEeE6w8K0IbRlCK8OMQEE1Uhn1F8Vy2fkq5f4pp8EtA0Nc\nQPjtuMYMrRIiRZlgIugq8MILL8CbGIYlJSWVlZUtWLAgMKOKHhy8XyPq9onjWEoa09/LblFN\nx+m2FupYPbCYXZ5iMpJvvya+70Eszp13JQKBiGWsVqtEInHMYEgkErPZ9eXFgYsvvvgvf/mL\nqyVLhF/Ikkp2z6m+rbl12+Awt/M/I6OL6xs/qZ5ZgBThQ4rXVdYaXskoMXv27E2bNnk9qUsW\ni27JSPtX/yAA4AK1ao4ykiYAcMlon9lioRkJjgEAhkiShg5DJaN+ZE16KhcQ7tVoO4ymQrkM\n8OtFi+WyIrnM+fmIACAoIPzVr34V6HFEK7AJoRjD4iJtPRVLz+ACQvpYncvjpFIwNY1jRkes\n/3pdvPY+IEJXTwQC4RzOUHv16tUzZ860E5gRyMyZM/Pz85VKJzZoCD8ix/F/zywrV8ifmCr0\nAgAc1xvOq2/YUVmxyJkNHSLISCQSuACbxU3mUEPBGUIiPz9v7dq1vgzgn2UlK1OSTTS9PCUp\nsoqJYVEZGoBzZjMbh8ANhAAFhH7l+rTU/9d+xkIzAAAGgHcHhx7LzwV8RRmUHgwyqGcjsIxB\nl+NEcSTVi7Lg7os/RWK8Zo74znslD2/AklO53XTnGXLrFoD0IRAIhFsSEhI++uijJ598Mjk5\nOdRjQbgDA2BjQd7WyjLYYGDQQv6o4cS/XLhLI4IDjuMYhpEkSTng5iy/65/jGFiekrQ6LUUW\nac3A+VJelrtranUbdqUnMCwV9RD6j2Sx6CdQvLe5f4gBoNVobDPaejhRQBhkIi9EiSzGeSaE\nkfduYxnOA0IsJ49YsIiYPRdMXUnFt621vPw8ME4aVdGNR6n0TOKSy4M0UAQCEVEQBAEnNEZH\nRzEMw3Hc/SwWEVquS03Jk0qvOdHMzZXNNH1bc2v9xMQLRYV4ZCWGogJOXQbDMLvyUfcqo7we\nwkirXfIvCgJPEYuHpyrYuTbCfihDmCIWIRUl/7ImPW3n8Cj7uNVoPKydOKjTcc9KcXxpAjKc\nCCruQpSMjAwhL9Hf3++nwUQh4xHrSs+C5c+AdWWAXE7MnkcsWIRlZdsfmZYuvvnn5D9fBVOT\nPOvXX2Cpafis2mAOGIFAhD9wNAhPZGmaZvVmQjc0xDScp1IemTvr6hOn6iCZmb9197UZTe9X\nlPlocY7wFPa3U11d3dXVpdFo2CUVsVg8rcwMr4cwAler/Uu+TOoYEA5YYBNCpCjjZ65MTkwQ\nibhJ8uaBwTMmW3pwaYIqPrbXKYKPu6tAQoI7vVeDwXDu3Dl/jyfagK1+VD5b/QQfLF4pXnO7\n6b9fYFKpZN75RM1sIHZ5WcRLykVXr7Lu2Da5zTDk9nfFicl4Xn6QhotAICIBNhqUy+UGg4Hb\nKRKJKIpy7INChBvZUsl3s6tuOdX68fAIt/PzkbGLjh3/pHpmjhRNnYMKhmGNjY1w0TVJku69\n6WkGTEDLLiiMz5dJuQWOzqmwZJBEnhMBRIbj16Umv943wG7+e3DYCF38lyWietFg4y5EaW5u\ndrrfarW+8cYbGzduBAAgoVH38HoII3MRDq+oMqRmiEQiudsFAhbi/AuYoUFqz3eT2yRp/ddr\n4vsexBKTAjpIRNRCWsitW+im43hxqfjGnwF5JKmZI9yAYRgcDQIArFar+1ksInyIJ4iPqso3\nnu3aeNa2Lnx0Qr+gruHjqooFqkgSmYwORkZGHKtGXaGjKPi4SOxn8S+w8wTUQwh7TqCA0P+s\nSU/jAsJhvug0ciAMPh73/u7YsaOqqmrdunXx8fFbt249ePBgIIYVNUR6yagXiK64BvamZyZ0\n5NuvAU+k5BEIDmrfbvr4MUBRdMsp6+5vQj0chN9w3+AkkPr6+r/97W+u1i4RAQUDYENB3vsz\ny2ARkT6L5cJjx7cMDIVwYLEGHARyj91HhnaGWCqCaG1tfeaZZw4cOBCIEYY/sPMEKhkNGksS\nVDNkTowlcqSSmRFlZRkdeBAQ7t27d/HixStXrhwZGfnrX//a1NS0evXqwI0sOvC7kFcEgOPi\nG3+GZWZxO5j+XvK9twCqBEN4Dt3Xyz1mzp4J4UgQ/sWxNDQtLc3T9OD+/fufeOKJhoYG/40L\n4Rk3pKV8M7sKVuQ30/Stp04/3NFJo1xvsGAnY+wiC4Zh0662aPhtumoR0dTU9PDDD3/77beB\nG2Q4AweEXWYz+9WFbSeQ50QgwAC4KT3Fcf9Pk1FNWQgQFBC2tLSsWLHiggsuOHbs2O9///v2\n9vYHHnhAjCqqBQBnCGOob1sqFf98HaZWczvo5ibrZx+HcESISEWj4R4yI0jdPkrgZq44jhME\nQRAEjuNDQ0MAAG4PS6hHipiehSrlkbmz58THcXsYAJ7p6r6hqcVAoXXAwCIWizEM27VrFwBg\n1apV8FNq6BZsh12GMIYmJy6AnScsNDNAWgAqGQ0KP8tIc9yJ6kVDwjQBYX9//913311VVfXp\np5/efvvtra2tf/zjH1UqJAUrlHFehjCGJjeYWi2+5U4ArRpQe76jDuwJ4ZDCBYahG+qtu/7D\n9PaEeigRAKODAkKtFtUeRwdwYRtN0zRNw0KjMKEbI8IDcqSS3XOql6fw1vW3Dw0vPtp4Dv1m\nA4nFYqFpWqPRAAC2bdvGQIyPj7s6C5a7E2OYPNKcA/1OPr9wsdNktjLMKNTVlu5aTg/hCyVy\n+Xwlr+VYhGE/EqBYgfA77q4C69evLy4u3rRp07JlyxoaGt58882srCw3xyMc0VAxmSEEAACA\n5eaLV68BUO2KdecHdGesV/1Ru/9Hvvc29c1XlpeeZwaQZcs0MFoNtMEwwyhJGA1gggn1SBFC\niSeIjyrL/18Ob5JwbEK/qL7x6IQ+VKNCOAWemSCJUQBAslgEmxycNZmHSRJejkpDGcKAcQs/\nSbhIrVSj72QocBei/OEPfwAAzJ8/v7y8/K233nJ12HPPPef/cUULMSgqA4PXzBENDVq/+mxy\nm6atH/5b8svfgpitBKNpas/3k4+tJHXkgOiKa0I6oPDGbLZLCTLDQ1h2bqiGg/AXKPUXlRAY\n9nzxjIo4xb2n28mplG+32bLk6PHNFSUrUpLdn47wArVarYPsvAEAKpXKTW6QBZkQOpIvk57U\nT+oed5pM/RY5/CzqIQwcN6SlPNh2hrtiXJ6EDCdCw/QXgsOHDx8+fNjNASggdIWRpi1QW32s\niMrwIX50GTM0SB2d/AoxA33Ud18TP14W2lGFCrr9NJzyok80ABQQuoaXHmT3DKEMIQIR1vwi\nM71YLlt1snmUnFwP1VPUqhPNTxbmP5KXE9qxRRMbNmz4wx/+4KjDxNrTu19zgUtG1TG7PssH\nDgi7zBZYUQYHIBWpZgSMVLF4VWrK+4NDAAAJjl2X6kRmBhEE3IUo7uNAxLSMo75tAACGiVas\nps+0MeNj7A7rN1/hNXOwVCedxFEPXX8E3mRGR5i+HiwzO0SjoTH9BAjjYn24gZCFHh5Ek5fI\nBXfdqoTjuJV/wRRCcXHx8uXL8/LyfBsXws9cnKA+WDvrquNNzQYju4cG4Pcdnaf0xtfLiqQx\n37HmF1gvaBauuJqNDxmGce9JqHVoZsnOzr7uuusqKioCNdywB9aV6TSZYM+JZLFYhMrXA8mr\npUU5UkmPxXJ7Rlqx3IkRBSIIuAtR5s2bF7RxRCVjJG9+E6HG9H5AKhVdcx359muTm1bS+tG/\nxWvvB7F2hbVYqBP2+vjUiUZRKAJCprtL/NYm8YSOLq0At/Lkf8IIlCGMLtzMUCmKYpsGPaom\nXbZs2QUXXKBUKv0xOoQ/KZbLDs2ddWNTy2cjY9zOzQODbUbjjqoKVIDnI5wAr1QqNZlM8FMy\nmcxsNrPHUHx7CY5xXskoAQCYN2/etm3bAjXcSCCPb0WIJEaDiUpE/LmoINSjiHXQQl0Aga+5\nICZ7CDnwiiq8Zg63SXe0UUdizgCXOtkILPaCe/TJ0FioWT/fCSZ0AADm9Cly62bgof9bcGC0\nWvs9w8jwOoKZVjyGYRhkNRE1KAliZ1XFAzmZ8M79Wt28umNIZsZH2HUTsVhsFw0CAEwmE+sK\n5mZtBbadUBGxulTNx86bnnWeYEGu9IhYAAWEAQQuGRVhWFxsT3REy68FcgW3af1sJzOhc3N8\n9EEfdVKDzfT1MiPDwR6KyUifaee26OPHbMI/4YRjDyEwGWPtaxNN0K7hQkGkNxNNEBj21+LC\nTaVFYqgepNtsufDo8Z3DoyEcWHRggcoahezn0DhkCBH5Ululoo6iuGpngBRlELEBCggDiBaq\n1lCJiBirj7QHU6pEP11u2zYarJ98GLrhBBtGp6VbW5w+RZ9sDPJg6NYWwJ92U998RdUdCvIw\npsVJQIiqRqMXL3oIERHB2qyM/1TPhGXVJijq2pPNz5/rDeGoYhkdhQJCe+AMIQDgsHaCe4wC\nQkQsgALCADIGzW9it4EQgpi/EJ9RxG3SDfV080mB5zLdXdbt71o//YjRR2StEX2szhaDYRjs\nnRCCgPD0Kced1o/+DacNBb3O2Q7r1i3Wz3cCk3H6o70ABYQxBjIejFYuS0o4NLemTGGT8qcY\n5sH2M3e0tMFa3AjhuP+xuH92HJWMOpApkUhw25s2RMI9hKhkFBH9oIAwgPBNCNE1FwAME117\nA4DeCuvH2x3b6hyhDuyxvPwCdeQgtec765Z/BnKIgYKqt9WL4kUlxPkXcJt05xlGZ98sF1Do\n081O9lqt1s1vCK1fZRjq+/+Rm/5G1R+ivv8f+cH7/h3h5B9xGhAib/roxY3qDCLSKZHL982p\nuThBDe/8Z9/AjxpODEICHogggEpGHcExkCOVOn0qPTxF1xAIv4ICwgACX3NjWVEGBktNF118\nGbfJjI1ad7ntXrOS1u3vWndsA1MlLnRHK9PdFdBB+h1moI/p7eY28doF+MwqwGmvMwzddDyo\ngxm36f6BtHTbU3o9+fYmYJwu3Wcxk++9bf18J5fzpJuOg+m6VrwZqoOoDEAZwuhF6mI25obu\n7u7vv/9+YGAgEONB+J0kseirWZX3ZvNkZvZqtAuPNjZNWcAhBMIwDO4a92srGgfbiaGhoa+/\n/vrs2bOBHnY4k+cqIEQZQkQMgALCAIIyhE4hLr4US8/gNql9u10FeMzYqOXlF6kjB+32U/t2\nB3B8AQBODwKxhKiahcUr8fwZ3D76RPCqRukWW70oIxYTa++H61eZwQHy3X8C18IezPCg5R9/\noRuP8vZSFH22w88DNRoB6STIRBnCyMXN/BXHcVYJw6Oq0Z07d65ateq7774L1IgR/kaEYf8o\nKdxUWgQbu3UYTefXN/5nBMnMeAbjGvcn6hwyhPv27bv00kvffz8gtR6Rgl0bIQfqIUTEAigg\nDCAoIHQOQYhW3mAzIaRp8sP3HSMQurWZ/PuzTM85xxegGo4y+gnH/WEKw9DH6rgtvLIGSKUA\nALxqFreTbj89fV7OT8ANhFTe0h6CjQAAIABJREFUDCBXiG9bi6ltdVx0a4v14+3Oz206bvn7\nc8xAv5On2lv9O06n9aIAAGZk2E28ighn3Mxf2Smspz6EiAiFlZmBixV1FHXNieZnurrdnIXg\ncOPg4ujmYoeBokkoYlSjHsIpUECIiGVQQBhA4IAQlenD4AWFxHmLuU2mt4f64Rvb0wxDffc1\n+c9XefoxOG6LIa0kfWh/cIbqO3RHG1yiSdTOYx/glTW2gyiKEqyv4xMWC6wcY51RBADAVGrx\nbXcBqCqGOriX2vMd70SGsX71GfnOG8DB9mry+Y7T/h2pq4AQUBQzhjIJEYn7yatcLkfRYOyw\nLClhz5yaGTKb1j/FMA93dN51up1EraTT4cbBBcbpuXC9KABAhSYnU+Q7KxnFAUhFPYSIGAAF\nhAEENqZHi3B2iH5yFaayZaWs//1yUs7EbCbffcv6xSdwFgiLV4p/cS9eVMLtoQ7siZQ0EQ3V\ni2LxSrykfPJxYhKWlWM7LChao3T7aQCtU1AziicHk5UjvuFWAK0oWz/7mD51YnLDYCDfepX6\n3y7Yvx5TJxAXXGR75e5zrmJF7+AFhFIpPDZUNRqJsFEfO08ViUQpKSl2k1eDAXWRxRZVcYrD\nc2ct5cvMvNbb/9PGpnHIFwHhX2B1A4BWqyGcZgiTxWIRUj9GxAAoIAwgqGTUHTK5aPm1tk3S\nYv3wfWZ40PLS8/TxY/CBWHau+L4H8cISYtGF3E5mfCyYQizeYyWpEw3cFj57rk1LBgCiypYk\npJubnLbM+RdeA2FSMp2QaBtbZY3oJ5BRJE2T7/2L6eth+nosf38WPhEAgM8oEt//G2LJxfDx\ndKdf2wihgBBLSsb+P3tnHh5HdaX9u1S39n2zJEu2ZWvfLMmbjBdWm82AATtAQoCEJZOQMJlM\nPpKZL2MzyTMhmS8ZJgmTQEIgkGGxwQazGGMDxoAXvMnaF1teZdnWvkvdVfd+f7RUdau7utWS\nulst6fweHp6+1beqbrfV3XXqnPO+wlJBV2aKorY2Wa3W1lb39GyBaU2MSdpVkPPArHhx456O\nzjWnzjYMef37cGbSpTf8hLvVKnOEfLUK1IsCMwQICL0IqIy6huQvFMsm2akGy389zS83i3Po\n0uXm7/4QR0UjhEh2nu2BDWX/5z5b6rhhVRWiRx8tXiw+S3K1NkJktThzrvfkeoQGQr4gw+5Z\nuvo6urhUG1uGrC/80fLsb3l7m27aymtMj34fh4XjyCgcE6sd/KQnq0Z5jxAQhkXgWO2Skbe2\nePBEAABMIgGEvJSV/syCeeLlyGmLdW1D4ycdTurGgQnQLWRfCUKhFC5OhkkNCHC8JoaAEJgh\nQEDoRSBDOCrS7RuQeE9OvHMpmaS775XuFHwLCdHZ9zU22EWPE4VztO+T4L+/QN5/21NO66K+\nKE6YJep5IoTwrEQcG6cOvV01yttaRJtBPt8+IEQISes3iqW5vKcbCf68yGw23fegdOt6Nc8p\nTvasrozoOYHDI8Q3CkpGpyicc1XrQn3sphKGIeHh4XPmzAkNDfXakgEf8cTspHfzc8R+tg5Z\nWVte9WyTR7/kAf2t6jCJ2szYQ0JC0tLSoqKinO42AzAT7OgwAa70wAwBAkJvMcTYoNDkBgGh\nITgiQrpxncH2yCjzPzyhy1YhhBAii0uRNHK7jnPPJgmVQ1/y3R/Q5iZ85KDl97+ZeLTJe3vE\njBwtWuw4R0wSsupKrzZG6so+JRMTfC80KDV949tiOk4Fx8aZv/cjUlgsbtRFj81NntRKFXsI\nw8NxnJAhhJLRKYjkhe/A+++//8iRI7fccovHjwz4nptjoj5fmC/2ccmcP97Q+Fj9KRlkZjyH\nWDIaPlIvev311586deo73/nOJC3KX3BsI4QMITBDgIDQW3Toy/ShZNQZdNkKoo9MyPwM0w9+\njGenOk7GISF0oRaQKMcOeyqVx7u65J07tGHrFcsffmvvtjdG2IljWoCHMSla5DiHCG2EvL+P\nnT45kTOOsh4hICTz5iOTkxufwcGmhx5DwcHiNpKdZ378n/GsRLu5OE0LCBFjHly/KCqDw/Ul\no12dPui3BDyL1WrlnOfn55tMJoQQxtjkhMleKTBpFISGHCguWBKuS/k+f/HSrRXVdlIowLjp\ncjAhBFQMAkJnP5QAML2AgNBbdOp/vSBD6BSMpbvutVnzIYzpqmtND38XhzitAROlZZBlyNG2\nfnzI72y1F8m0DFlffUl+/+1xZ+3EelEyb4Eoi6JtT5kjqq160aFetrJGraSTZGa7mItj40z3\nPzycjMVYuuFm0wOPoKAgg5nhEWLujjV6KCDknPfoS0aFsyDOOUiSTE3Ky8ttBvQ2J3pDJnuN\nwGSSaDbvW5i/ITJc3LirvXPF8fLTHtUxnrF0K6IhFlyZ6IAMITBjgYDQW9gLecHXrnNwwizz\nD38q3XWv6bv/JN1yh6jDaTA5OUXMKCoHvkATriZileXG/XucK/s+sf7lf3hf71iPyVsu8wvn\n1CEpNkgPIoQQxiQnX1tJdcXEX44h7PQpJFxqkwxXASFCiKQtMP/wJ9Jd95h/8H/o9Tci551d\nROhFZKc8oyvD+/t1DaVhETgyCgkfImgjnNJwzmX9NyQAqAQQ8uzsxE2J8eIvQWVf/+KjJz7r\nBJkZewIDA9X+W0opQshsNmOMnRVpQ4bQBY5WhBAQAjMECAi9hZghJAiFgZCXS3BUNF1SSlLn\nuDOZLl+pPuatV1hD7YTOPTgg79iqHVCS+Nw08Xl2qt76u/8Uozt3ENODyGSi+QudzdRVjXZ2\n8KbzYzqRm4j1ojgyCifMGnUXHBtHlyzHScmup5G0Bepj3nyR9/eNe5Eaeld6HB6OCBEVTaGN\ncKoz1qtYYEaBEfrHhLg3crOCqXaV0maV15RXvXQJPvsaJpNpaGjIbuMdd9yBEFKceDnqewjh\nykSHo/OEo8wMAExLICD0FqLEaIQkEfA19Rwkv0gss5ygtIy8813epYUfluWr2TcfkW66TeeE\n3tlh+eMzyqH97h6Uc1Z2VFtwTj4KNKi3HH42LV1s2BN9Cz2IKG/jul50rOD56dp7xTlvPDXx\nY/LuTuEE2PbPrXeegIvCKcw4rmKBGcjdcTFfFhWkCEkbC+MP1TY8cbKRgcoMQgghW6adEBIR\nof0mbtmyxcUuou0E1C7ZkepQMjoLMoTAzAACQm8BnhNehFKyRBMgZbVV4zamY+fOKoe+1Maz\nEi2LliGM6dXX23fNybK87XX5jVd0NgzODnvmlOjdR43kZDQopVm52r4Vng8IeVcnv3xJHZKM\nHA8eHIeG4fgEdcgaPVA1qlOUCQ2zVRGDFeG0YRxXscDMZGFoyMHigkVhuq7y311ovrWiuhtk\nZkZwvI3iwr4FSkZdYFcyihGKBZkrYGYAAaG30AeE8J3rYeiyFUitdeFcF9S5j6LIb76q9exh\njNbdpR7WUFdTOXbY8sdneEe76wMz0X4wJHT0hj3BfIK3XuFXLrv9GtyC1VYLJyNkQbrzueOB\npHnajVDnOTEcM+A4wbOxxcNvEeB7xnQVa8izzz4bFxf3xhtveG5RgN+RFGDeuzBvfWyMuHFn\ne8fKsoqzg/Z55hnIWD81hrYT77zzDsb4l7/8pSdXNgUJl6h4Bz/GZDKN8e0FgCkKBITeQn8T\nDjKEHgaHhZNcrfVOOXxwHD4Eyt7dotkgvWo1Tp2rO0tsnPm7/0T07X+86bz1D79R9u4RZTB1\nyFalokwdkYXFaLQ+DZKZJZpAME9XjerqRefMc1G/Oj50boSXL/HengkeUOdKHzasN4jjtDwk\n6u/nfZ5oVpx2sI93hT77G9OLf/TzNsuxXsUCM5kQSt/Ky9o0N0X8oynv7Vt09MTnXU6+h2cM\n3EiHzHCjjS4FMoSuEIVGQVEGmDlAQOgt4DvX2+j8Jwb6leNHnc81gLdckT/5SB3iyChprZG9\ndUCA6esPSTfdJmqf8t4eeecOyy83WV95gdVV2+mCspoq0Z/d0I/eHpOZZGSpI8VQ8nTcKAo7\nqZVxkkxP1ovawGl2bYQTNZ+wMyEcfhAbp5sDbYQOsJpK9vGHuL8PN12Q331rspfjirFexQIz\nHIzQ5rmpf8tODxC+ilut1jUnql67MtMLyKlwz3Hjxo3EVmPv5J6LWGoLojKOzIWAEJiRQEDo\nLaCH0NuQefNxoiaAqezfN4adOZe3vS4aG0jrNyKzfTf5MLaWwm/9Aw4J0W1XFFZ5wvrXP1me\n3qzs2ck7O4Y3i/WicfE4xS3pVDHhyZvOq0ebOOzcaTSoBaieVZSxgUNCxNraiVeN6rKvakAY\nGiZ2dfp5BmwS4Fz+6H11xM6ensS1uMOYrmIBACF0f0L8J4V58cJl+iBjX6+u/7fT52bmvYTg\n4GCEEGOsq6vL9mDr1q22GytRUQbOtwh8CEcjXfiVcXShAIDpCgSE3qILAkLvIyYJeXMTO+2u\nvqVy+KBooU4Ki4kg62IISc80ff/HeHaq41O8s0PevdPyq6esLz6nHD/M6rSGPbfSg7aZ2Xli\nVySrqnBzx1HRGU6EhYtRtAfRuxFOuI1QlyHULKpBaNQFrPIEv9ikjQcHnVY1TzbjuIoFABvL\nI8IOFRfmh2jKzByhn589/7Wqun6FTeLCJoW+vr7w8HDH2ygRERFtbW2O862ci+8SlC858mhS\ngk1IJozS7yUnjjofAKYHEBB6i04Q8vI+tKgEBQmGDe4lCXlPt/zBO9o4KFhad6c7O+KoaPP3\n/sn0jW+RjGwDo3bGWG2V/PorSK0Wxpi41hcVCQ4WDf1YlcfaCMWAkGRkubCYnwi6NsLWKxMK\nRTgXdxctRggIjTqDc3nPh/bb/DWJOtarWAAQmRsY8GVxwa0x0eLGrS2tq8sqLg6NuZl8qtPV\n1cUY45xv2rRpw4YNnHPOeWdnp/Fk4VY1gpJRI9KDguqXFu8pzD21rKREL28LANMYCAi9RYfw\ntRsFGUIvYTLTxcvUEasq53pDc0Pkd7ehgX51KN18uypbMjqEkPyFpm//g/nJTfS6G7Egmm8w\nd24ajo5xMcF+vlA1yk6f8ohoCu/p5s1a1sgbDYTDR543X9dGOIEkIe/tQUy7hy0GhKLQqN9G\nO5MCqyjjly7abfTPJGp8fDyldGBgwP2rWACwI4zSHfnZm+amiBuP9PQuPnbicE/vZK3K9xBC\nTCO+CJs3b1a9WyRJIsTgAq9L79UB5UuGREnSdVGRcWA4AcwkICD0FtBD6Bto6UotDlEU5eAo\n/hOstoqdOKYOSdoCMaR0HxwVLa252fyTp0wPPkpy8pHRTy9xu150eH5OgfZaGGM1HqgaZfW1\nmuYNITg9c+LHNCYoGCfN1s47kapRu6heDAjFDGFbCwINEhucy3t2Gmz2y5hZkiTGmDzyDSle\nxY6Vhx9+uKGhYf369Z5bHTBlsMnMvJC5wEy0VPPFIcuq4xWvXp4p5QOcc0f7FoSQ7W6L43a7\nDKHaQ3jzzTe3t7f/8Ic/9MYiAQDwfyAg9BZiQAglo94DR8eI7X/sq/3I6NdxGMuQvF249JQk\n6c57JlRCSQjJzjM98Ij5p09Ja2/V5QODgmlh0ZgOhiMiiKBAwyo9oDWqM5yYnYKDQ1xMniBi\n1ShrnECGUAwICcEhWtEOjtMCQmS1elB6Z0rDThzlly85bvfPqtqLF+0zmeMmICAgMjLSbDaP\nPhWYpnwrMcFRZuYbNfWbz8xQmRnXdOt/H8NHLk5MJlNUVFRgYOBkLAoAgMkHAkKvYNe3DRlC\nr0KXr1Qf855u5dhhNNBv+J/84btiCCFdu0YXYEwAHB5Br11j/j//Znr4u7RkCclfaH74u+Ow\n+9NVjTbUIcvEbJcZ4/W12iIzvFUvakPsgeStLbxrnOV/ehPCMDH7imPjxADeP0sifQ1jjt2D\nNvwzQ2gDHCYAT3FVRPiBooIcvczMU2fO31tdN8Cmp8yMyWSilKo6vVQPIcTZ50ssGQ2mBFzX\nAQCwAYGKV+jUV2VAQOhVSHoWjo1XYwP5zVflN18ddS+ckEivvsHDS8GYpGeR9KzRZzqB5BWg\nnTuGB7KV1dWQ/IXjPhq7cJ73a42I3jCcECHzFiBC1PY/dqqBFo+taNaGLkMYpu/SNAfg8HDe\nNTyBt7agCbzb0wPl+BEx8MMLMviI7SRvb0WMGdYzTy6EEMYYHsHuWcMSOABwQVpQ4MHigvuq\n699ra1c3vnGl9ezg0Pa8rFnTLocsC9cYtv5bxzmGDi5iyWg4hSsTAACG8bsLhemBQ0AIJaPe\nBGNaumKsu0h33YP8T2ANx8bjBE3nWjn61USOxus1AwwcHEKMPDM8SWAgTtY0Hvi4q0Z7DFzp\ntS1iG6EfZ8B8BGPKx7vUEY6Mojeu055VFN7hj6KdbOSuAeecOTC5awOmKGGUvp2X9WTqbHHj\nwe6eRUdPHJt2MjOEEPFmCnbA1qnruGOXAvrnAAAYAAGhV+gEIS/fQhctRWNpfqBLryJz5nlv\nPROB5Beqj1ltFb9wbtyH0jkQpmf6IFOkayMcr66MrmTUdUA440tGlaNf8TatUZBeuxbFJ+iq\nalv8sY3Q8fpVZLJXB0xVKMZPp815LmO+WAnZNGRZXVb5dqs/3hkZN4qiqHdPKKWOd1WsVqvh\njt1giAUAgBEQEHoFMUOIwerHBwQGSbeudzPjR1LnSDff7u0VjRu69CokjQgkcC5/9ME4D9Tf\nz4Rg0nuGEyIkTXAjbG/jHe0uJjuDO3GlH94SBxnCERRF+URID0bH0EVLkWRigo2Kf8bMjtev\nkCEEPMWjSbM+KMgR3Z56FeXOytrNZ8Z/c81v4ZzL+ook14gloxFQMgoAwAjwdeAVxIAwTKIU\n7nl7H7q4lOYt5B1to1gRBATimFgvmbN7BBweQZddpXyx1zZkddXs7Olx5DNZQ63m5ocxyfBF\nrx2Zl4YoVYVe2akGumjpmI8i9hAaZAgFK8LODiTLaKZm4JWjh3i7lveg166xvfk8JlZ9D6d3\nzLx169bf/va3v/jFL2699dbJXgvgR1wfFflVSeG6iura/gHbFpvMTH3/4F+zFgT6X1ftxDGb\nzY43UxxjRbFkNFzIEH722Wc/+tGPHn/88QcffNBrawQAwH+Zhl+L/oAo5AX1or4jKAgnzcbJ\nKa7+08tU+if06uuRSVNBUIws5kaF1QkNhInJOMw+1eYVzAFip+J47OkZ47096giHR9o9rxOG\nZYy3tY75FNMDRVE+3a2OcEwsLRmOvVmUZn/ibxlCtffJRkxMzOj7OOfKlSsnTpxobx9PIhqY\n3iwICvyyqODaKN0dpdeutFx3ovKKxbiccopi+0xZrVbFAcfJ3TpDLO3ipLOz8+jRo83Nzb5Y\nMQAA/gcEhF4BXOmBiYDDwkWZHFZfy06fHNshOGeC4YS39UVF8MTcCHl3l5jjNeghjI4Va4P9\nLeDxGcpX+3XpwetuVHtE9QGhH/UQOqrhQywHeI9ok7SrIPfx5ERx4/6untLj5VV9/ZO1Ks+i\nfqYcm2+dqIwKPYTQzAIAwAgQEHoFfYYQvnOBMUOvvgEFBKhDZbex0ZwzeHMT79GkWUiG7wJC\nXRthZ8dYM3iiogxCBiWjiBDsxxkwHyHLuvRgbBwtWqQOWXS0+ph3dSKLxadrc47tytV2Cata\nYAcIf+cA4FkkjH+fnvZcxnxJiI4aBwZLj5W/2zYdbkbYPlP5+fnh4eFo5MMlOb8N3aUIthNw\ncQIAwAgQEHoFyBACEwSHhNDSleqQnaofU7aN1Wv6oigw0JeSqmTuPLGpb8xao4LnBKIUBwc7\nTpnGujK8t4c3X0SjCasoh/bzrk51SK+/SZSQZdGxwhH5OJKEvLeHX2oepR13vNgq2QYGBmwZ\nDGdyiADgKR5NmvVefo4oqtmjKOsra3917sIkrspTYIzLy8upkO6zWq0YY0NzQl2GEC5OAAAY\nAQJCrwABITBx6KrrdEnCsciNslqtgZAsyPCp46LJTFLmaCsZY0ColxiNMGz4nK4BIas8Yfnl\nZsszT1ue3izv3sk7O4znWa3Kpx+pIxyfQAuLdccJC9eEaseeRGUVZZZfbrL81y+tz/8eedoj\nXixjI9NR2wPwT9ZGR35VXJgRHKRuUTj/SePZR+tOWr1z48PHtLW1oZGEoQv0KqOQIQQAYBj4\nPfYK8WZTZnBQgtkUSAh4TgDjA4eE0KtWq0N2+hRrqHNnR+XwQXb6lDokGb4wnBAR2wjHak8v\nVro6NhAOb9dZEfpRj9xE4L091rdeQ7IVIcS7OpU9Oy1Pb7b+9U+s8oRdVKYc/EJ8lyR9ehAh\nhDDmYtXoGGNmefcHSJYRQqzxJKuuGPtLAQB/JCM46Iui/BUROnmtPzdfvqm8qmMszg3+hhgE\nqo+dRYY9OpVRuFsNAMAwEBB6hd/Mn1e7pPjS8iUDq0p/n5422csBpirSymtRoHBLe/foSULW\n2CBvf0MbE0KyfB0Qivb0vLtrbAGJ6DnhRBkVxwnOE709aGBgrCv0Q+R3t6F+vdAF56yu2vrK\nC5ZfbpJ37hg2oLdalL171Cl4ViIpKHI8GheqRseWIRwc4FcuqyMx1ewROOdkBFvtqLjFhvtH\nW7t27QsvvLB8+XLPLhKYrsSZTHsKcx+cFS9u/Lija9mx8vr+Kfw1snHjRjSSfrfp9xpOYxz1\nODGmX7x48ZYtW9avX+/llQIA4KdAQAgAfkxwMF1xtTpiZ0/rmgMd4K1XrK+8ICaU6DVrcIS9\nc4O3IalzxZJFdqre/X3tS0aNEDOEaFroyrC6alZ21NmzvKdb2bvH8p+/sD7/e/mtN0RbDun6\nmwyrascdELKLF8TWQVZf4/FOQj6C4xa77aOyYMGC2267LSUlxbMrBKYxAYS8mJX+zIJ54tVP\nff/AsmPlH3d0Ot3NXzGZTBjjXbt2IYTuvvtu8amICPvvzx5FEbuTRWP6pKSkDRs2ZGX5wq4W\nAAA/BAJCAPBrpBVXoyBNWMVVkrC/3/ri82KWiRQUSTfc5NXlGSOZyJy56og1jsEzw62AMCxc\n7K5kPggIOVf2fGh99rfyR+97vK0OWSzy9i3aUJJIdp59FShCiHN2qkE5fljdgBOTSV6h8XoF\nfz/WMoaqWt6kk9ng3V380kX3d3cNdg9PnQ4AnPHE7KT3CnJEmc0OWb6xvPr3TVPMiM9isTDG\nurq6EEJbtmwRb6x0dtrHt136ytgIUBkFAGAECAgBwL8JCpJWXq2O2LmzrLbKYJqiWP/+gpgL\nwilzTBu/YZg+8gE684lTDWPIMoklo04CQoSxro1wLAHP+FD2fy7v/oCdO6N8vEt+e8voO4wF\n+aP3eYemgC9dc4PpwUfN//Lv0o3rcEysix2lG4zTg0ifIUQD/byv183FsKbz9lvqXCWlxwRz\nD0+dDgBccFN01BdFBXMCtVtLMuc/aGh8rP6UPC1kZhzp0t/MgoAQAAAVCAgBwN+hV12Ng0PU\nofzRB47xlbx9i6jniSOjTA88gkwmNEnodGV6e/iVS27tJstcyHDicOMeQoQQjhXaCL2dIeRc\n+fIzdaR8dUDZ94nHjn3hnHhwHJ9Ar74BIYTDwuk1N5h//DPTI4+TwmLkIP+Ak1NITr7Tw+oj\nSffbOPlFeyF+DwaEAOBX5IcEHykpXKmXmXn+4qVbKqo7/Vhmxs1Mu2Oyvds+QwiiMgAADAMB\nIQD4PYGBdNW16og3nWc1leLzymcfK4cPaOOAANODj2Eniiy+gaTORSazOnTTfIL3dIuxrrOS\nUeRb5wlWVzMs6DKC/ME7npHfZMz61uua6yDG0l336mI/jMmCDNN9D5r/5efSretxfMLwdkKk\nW253lf4NDhErjd2NmS0WxzeTnW1EQ0Nu7Q4AU41Yk2l3Ye79Cbq25I/aO5ccndoyM4aIJoQS\nxkHg+wIAwAjwdQAAUwB61SocEqoO5d1akpBVlcs7d2hTCTHd+wBOTPLxCu2hlMzV9HXdbCMU\nGwiR64DQznnCdYkX5+RMIz19alTDd0OU/fscD2h97WV+sWkcR9Md+fNPxYwcXbJcfNNEcEgI\nXXmN+Uf/avruD6Vb15u//2MyP8P1wYmoxepeVS1rbjJ4ixRlTLJAwwwOsqpy3jzRtwgAvE0A\nIX/LTn86bY54PdQwMLD8ePnezi6nu00eEQLSyP0jQojJZLJpzNi2SA4JwC5FMCGEelEAAAQg\nIASAqYA5gK6+Th3xi02s8gRCiDedt77+shgOSbfcQbLzJmGFDpC0Bepj3uheG6EYEJpMYo7L\n/uBChhBZhnh3t7OZCCHrG68Evv63wC2vWP/3r6OvQQ9vazFWdrUMWV96zi6CHduR29vk3TvV\nIQ4Ll266bdS9yJx5dOU1OCl51Jn6mNmtDCF3aCC0Meaq0f5+y3//yvryXyz//WvlqwOjzx8v\ne/fu/dGPfnTkyBHvnQKYCWCEnkydvSU3K5hqF0VtVnltedWLl/xOxLhTQJZlhNCmTZsURbFY\nLDaNmU2bNiGEZIeq1y6d54QuXDxx4sRjjz324Ycfen/5AAD4IxAQAsDUgJauxKFh6lDe8yHv\n6rT+7XlksWhzlq0QbSomF10bYV+fO22EYlznuuRV7CFELgMeVlHGjg8HDKyynNWNzVhPOfCF\nFsrq0568q9P6tz8jq8V4z9GQt78h7ivdfjcKCnIxf6yMJyB0aCC0MeY37chB3t6GEEKcK97Q\nZR2hqqrq5ZdfPnXqlJeOD8wo7oqL+bKoIFWQmbEw/q3ahidONjI/VpnBGG/evFncsnnzZkO1\n3m4xIKS6DOGZM2eef/7548ePe2eNAAD4OxAQAsAUwWymV1+vjvili9bf/Sfv0jJUJD1Luv1u\noz0nBzI7VddGeP7sqLu44zkxTGCQGB47DXgGBuR33hQ3iEm50bFYlCMH1RHJX2h68FEcl6Bu\n4RfOWd/4+zic+pTjh1l9rXbknHySv3CsB3GNrs2ytdWdRYoSo2ISkne085bLRnsYoxzTvDF4\nTzerKHN/XwCYRBaGhhyyEDHmAAAgAElEQVQoKlgcFipu/N2F5lsrqsVoyq8wtO403KgvGQVF\nGQAANCAgBIApAy1dgQWvYdGgHMclmL7+oIF53SRCKUmerY74+XOj79ItGGdFRLqe646ujLzz\nHd6jqybl58/aSfK4QDn2FRrQhCXo8lUoKNj0re+I/Zysokz+6H03Dzi8hv4+5b23tXFAgDci\neTFDiGQr7+wYZQdZ5pe1LC5dcY0unne7apRfbrZrHTRowgQAfyUpwLyvKP++BF0Nws72jhXH\ny88M+qm6EtF/8xMnPwRiyWg49BACACDgT5ePAAC4RjLR1dc7bsYhIaaHHnPRcTdZ4JQ56mO3\nMoQ97paMIvsMmIFoCjt9yrCBTd69082cnnLgC+10SbPJnHkIIRwdI93/LSQUXCmffKQc/cqd\nAw7Pf2+7GMxLN67DkVHu7+4mODZOlCEdVYuVX7oo1naSOfPELlD3A0LHt4KdPW3XnehaK58Q\n4qiHAQA+I5CQv2dnbJqbIpZdVvT1Lz56Yl+nq3Zl30MpRQhxzsVPkC09SKl9yKcvGYWPGAAA\nGhAQAsBUgi5dju1SZ5Ik3f+wawfzyYIIASG/dBFZra7nj6Fk1K5HzrGgUZblba8bBn686bw7\nphGssYFfuqgO6fJV6mMyb4F01726s731GjvtlpIqa6gTKypJ6lxautKdHceM2Sz+qYzaRsia\nhAbCwEAcE0sys7VnT58c9Z8PIYQ4Z2UGEi/K/s9H31c7BlcUBWO8ceNG9/cCAA+CEdo8N/X1\nnEzRm6HVal1TXvWyP8nMyLJsMvKbNZvNBqIyoDIKAIATICAEgCmFZKLX3KANMZbuvIfMmz95\nC3KFmCFEisKcaJao6EQ7Rw0IxQxhR7udcon86W5+RYsS5YWLUHCINnQjSSjGMDg4hC4sEZ+l\nJUt0/xCKIr/yAm9rdX1MZLXK298QVWqku+5xZSc4MUTpnVEDQlFRhiTNRhiTDC0gRFYraxzd\nTJKdahD7WlWUE0d5f586dNTKV4vcKKXq4zfffBMBwOSxMT72k4V5s8xa7fQQYw/4mcyMxWLh\nnHPON2zYsGnTJtvjISPvUL3KKASEAABoQEAIAFMMumS5GmhJN9xES5ZM7npcgKNjxHY77rpq\n1GoRG/bGlCFEijIsa2k70ZXLyt7d2syoaOt1N1qWXqVNaB727XAG7+pkVeXqkCwuRQ634aW1\nt4pKMLyvz/ric+JLcETes1MMGunq6/AsLzpG6pOoo2YIBUWZ5BSEEI6Lx9Ex2gRBBcfpQY4J\n9aKBgmiq1coOa+W7jlr5iqLYtPIVRVEfGwpjiBQXF//gBz/Izs52PQ0Axs2y8LAjJYUlDjIz\nG6tr+5Xx+Jp6icjIyG3btv3iF7+IiYlxNqdLyBmG60tG09PTn3zyydLSUi8uEQAAPwaKyAFg\nqkGp+R/+kZ2sx2Hh7vjRTS44JZXXDpsWsPNnXdyUdt+VfnhCdAwiRDVS561XhnOGnMtvvYaE\nSx9p/UZuMsnFiwOOHFTbFOU9O815hc6yc8rBLzSLdkJo6QqjFWDT175h6WjnF4b1cnjLZetL\nzzn1gZRl5fNPtb1j46Tr1rp+jRPEHd2dYRjjzVp9LE4aVgMiGdnKweFGSlZXjdbd6eogVosi\nhNl08TJ+8QI7NZxXVA58QVdeq+oeGWrl//u//7stCBQfu6C0tLSgoCAsLMz1NACYCMkB5r0L\n8+6vaXi7Vbvr9FZL28mB8h152aJNxaRAKWVMC03b29ttjbiKg91Lt+I0Q5iTk/P00097dZ0A\nAPgzEBACwBSEUrG/y58hKXPYSEDoOkNoZy4/akCIJAlHRasJN95yBWUjhJDy1X52plFbwMIS\nkpmDOjq4ZKJXXy+/u214/qVmVn6cFBYbHFmWmaBGQ7JycVS08RpMZtMDj1j/8BveNayPys40\nimd3CsbSnfcgyaD5x4PoMoSdHUi2Ojsjv3IJyVqLoCoPSzK1gJC3XOHtbWLO0A5WVY6EQjVa\nvJjPTVMDQt7RzmqrSE7+8NBtrXwAmHRCKd2Wl/XUmXNPndES6Sd6+5YdK38nP9vOpsKXiNGg\nKieDEGKMUUrtYkIxQwi2EwAAiEDJKAAAXkRsI+TtbWIjmT1ihtAcgAJGv+/u6L3Oe7rlnTu0\nGcHBkpDUokuvEuNMec9OxAyKvpTy46IKKF3uSvQFh0eYHnwUmceWJaAlS8n89DHtMg5wnCCd\nzzlvddriqFOUMZlVr0WyIEPUU2X1rrRGlWOanAyelYiTZpOcfFFA1c5/wk4F0W4IwSHgV9hk\nZl7NyQgUZGaaLZZVxyv+97KByrFvsEWDQUFBnHPGmK2B0PZRYg5fbqLKaLiDBikAADMZCAgB\nAPAiePYcrSyTcxdJwjFJjA5P05VEtiCE5HfeFLv4pFvuEP3rkclEr9aUYPiVy8qJY46HFeMW\nHJdAFmSOsoyk2aZ7v+m+CSQOC5duucPNyRMBR8WI4ZwLXRnRFoIkJmmvxRxA5mqSRS7MJ3hv\nD2vQmgxp0WKEECKECq2b7GS9TelHvWAVtfJt16+2pyIjR3GhBIBJ4d74uI8L8+LNWqZ9kLH7\na+p/0nh2sm5gYIz7+/vFLbIsY4di+H6FWYWbLCAqAwCACASEAAB4ERwSIhYZejgg1KtosuoK\nVlGmbiHz02nJUrtd7Hw7lD0f2iUJ+YVz4iLp8pXuqICSnHzT/d8mWTkkPXOU//IXmr79XRTs\nE9NIQnC05kfiZkBoU5TRjiGaT5ysRw6NScNPlR3V3kmMSdGi4d2XLkdqcRrntmBblmVDp0GT\nyWTTm+ns7LTlOpy/NgCYHJZHhB0oKsgN0T7CHKFfnbvwtaq6AaOKA2/jGPsZInpOICgZBQBA\nD3wjAADgXXDKHLXTj50/5+y+tK6H0N2AUMgQ9nTL27doz0km6U4jRwdJoteuUWfy1ivK8SOi\nUqvypVDWGBDgGFI6g+Tkqw1y/gOOi1dNGm1JVAM4ZxebtF1GGghtkMxs9ME7wwPLEDtziszP\ncDyGzlwxLV2NunFIKC0oVkbUR5VjX0k3rkOBgdYRV0Ob2eCWLVsQAEwR0oICDxQXfL26/t22\ndnXj1pbWc0NDb+dliTYVPsCxNDQ+Pt7xZoroOYEgQwgAgB7IEAIA4F3I7FT1sStdme5O9SGO\nGHPJKOJczDFK160V84cidHGpmLRUPv5QzXrxvl6l/Lg2c9FSd1oZ/Rl3rAh5yxVk0cRgSHKq\n+CyelST2ARqaT/Arl3VFp8WLxWfpitXaYGhIOfqV+OyWLVvGHQ2ePHlyx44d58+fH30qAHiU\nMEq352U9maq7e3Kou2fR0RNHe3p9tgxbetAmK0optdl4trS0IITULTa69QGhne3ExYsXt27d\nWls7urUMAADTEggIAQDwLjh1rvqY9/WKhoEiupLRsHC3jhwRiUwGN+PxrES6+jqnu1Gq6yRs\na1XzV+zQfk1sE2Na6kpOZkrgjhWh6ECIKMUJs+wmkHSti5LVVTseQRfjmUw0r0C3huQUkqpp\nCyn7P0OcBwYGEkKwEW68rGF27dr17W9/e//+/e7vAgCegmL8dNqcP2cuMAl/tE1DltVllaJB\nhVdRM4E2URmbroxtC9MjloxihML0ojKHDx/euHHj9u3bfbNsAAD8DQgIAQDwLiR5tk7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AwKfodGUuNqGOdt3T0EPoHXBEJBIuNHnLZe2p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\nOWQqfEcrkz9Y4eNXJn+wuOhIUju56AgVWmuHgYuOJMnqoiOUVab4Oyz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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": [
"# Chart opt in and opt out rate over time\n",
"# Note: There was a drop in pref-update data starting on 2020-05-11 through 2020-06-05\t\n",
"# https://phabricator.wikimedia.org/T253151\n",
"p <- opt_rate_once_clean %>%\n",
" group_by(date, beta_selection) %>%\n",
" summarise(n_users = sum(n_users)) %>%\n",
" ggplot(aes(x= date, y = n_users, color = beta_selection)) +\n",
" geom_line(size = 1.2) +\n",
" geom_vline(xintercept = as.Date(c('2020-05-11', '2020-06-05')),\n",
" linetype = \"dashed\", color = \"black\") +\n",
" geom_text(aes(x=as.Date('2020-05-11'), y=55, label=\"Missing PrefUpdate Data (Bug: T253151)\"), size=3.7, vjust = -1.2, angle = 90, color = \"black\") +\n",
" geom_text(aes(x=as.Date('2020-06-05'), y=55, label=\"PrefUpdate Data Events Recorded Again\"), size=3.7, vjust = -1.2, angle = 90, color = \"black\") +\n",
" scale_x_date(date_labels = \"%d-%b\", date_breaks = \"1 week\", minor_breaks = NULL) +\n",
" labs (y = \"Number of distinct users\",\n",
" x = \"Date\",\n",
" title = \"Distinct reply tool users that explicitly turned on the feature \",\n",
" subtitle = \"31 March through 30 June 2020\") +\n",
" theme_bw() +\n",
" theme(legend.position = \"bottom\",\n",
" axis.text.x=element_text(angle = 45, hjust = 1),\n",
" plot.title = element_text(hjust = 0.5)) \n",
" \n",
" \n",
"p\n"
]
},
{
"cell_type": "code",
"execution_count": 586,
"metadata": {},
"outputs": [],
"source": [
"ggsave(\"Figures/reply_opt_rate_overall.png\", p, width = 16, height = 8, units = \"in\", dpi = 300)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Number distinct users that turned on or turned off the beta feature over time by wiki"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"# review opt-ins by wiki\n",
"opt_rate_bywiki <- opt_rate_once_clean %>%\n",
" group_by(wiki, beta_selection) %>%\n",
" summarise(n_users = sum(n_users))\n",
"\n",
"opt_rate_bywiki"
]
},
{
"cell_type": "code",
"execution_count": 587,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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ujRo0WLFitWrJgxY4ZCcfnXnJKSkvXr1/fr169u3bpBsxE2f0WReemll06cODFy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Y4gUAiIDm8eO9NxA4WeROZ7P9dgN+ZU7m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\nPyO//bqwfrNPoCWXH2d9vcLGLWx8jJ6tlF5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RwXQWv7hGO1KW4XKUq84wAAAIgSu4MUBTvkAQBAo46FQ8Phef5nP/vZz372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NAH5BYNOTpKUV1VfNy0xWHOGvHTshFlZTHP3ueUFo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\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GQB6M9ka+/h0akZnbEHws2Nf1C7KDZJ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L3dzcnJycOuIRHePHj09MTCwrK+vTp09BQUF6erq0/vTp0xkZGZMnT/b19b18+fLR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\nYII=",
"text/plain": [
"plot without title"
]
},
"metadata": {
"image/png": {
"height": 420,
"width": 600
},
"text/plain": {
"height": 420,
"width": 600
}
},
"output_type": "display_data"
}
],
"source": [
"# Chart opt in rate by wiki\n",
"\n",
"p <- opt_rate_once_clean %>%\n",
" group_by(date, wiki, beta_selection) %>%\n",
" summarise(n_users = sum(n_users)) %>%\n",
" ggplot(aes(x= date, y = n_users, color = beta_selection)) +\n",
" geom_line() +\n",
" facet_wrap(~wiki, scales = \"free_y\") +\n",
" scale_x_date(date_labels = \"%b\", date_breaks = \"1 month\", minor_breaks = NULL) +\n",
" labs (y = \"Number of distinct users\",\n",
" x = \"Date\",\n",
" title = \"Distinct reply tool users that explicitly turned on the feature by wiki \",\n",
" subtitle = \"Note: Data Missing from May 11th through June 5th, 2020\") +\n",
" theme_bw() +\n",
" theme(legend.position = \"bottom\",\n",
" axis.text.x=element_text(angle = 45, hjust = 1),\n",
" plot.title = element_text(hjust = 0.5)) \n",
" \n",
"\n",
" \n",
"p"
]
},
{
"cell_type": "code",
"execution_count": 588,
"metadata": {},
"outputs": [],
"source": [
"ggsave(\"Figures/reply_opt_rate_bywiki.png\", p, width = 16, height = 8, units = \"in\", dpi = 300)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## How many distinct people turned off the feature after making at least one edit with the Reply tool?\n",
"\n",
"We reviewed how many reply tool users explicitly turned off the feature after making at least one edit. I excluded users that turned it off and on multiple times from this analysis.\n",
"\n",
"Reply tool users were broken down by those that were auto enrolled (turned on for them by enabling the Automatically enable most beta features) and those that explicitly turned on the feature in Beta Features."
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [],
"source": [
"\n",
"query <- \"\n",
"--find users that opt out of the reply tool preference \n",
"WITH opt_out_users AS (\n",
"SELECT\n",
" event.userid as opt_out_user,\n",
" wiki as opt_out_wiki,\n",
" min(event.saveTimestamp) as opt_out_time,\n",
" sum(cast(event.value = '\\\"0\\\"' as int)) as opt_outs\n",
"FROM \n",
" event_sanitized.prefupdate\n",
"WHERE\n",
" event.property = 'discussiontools-betaenable' AND\n",
" wiki IN ('arwiki','nlwiki', 'frwiki', 'huwiki') AND\n",
" event.value = '\\\"0\\\"' AND\n",
" CONCAT(year, '-', LPAD(month, 2, '0'), '-', LPAD(day, 2, '0')) >= '2020-03-31' AND\n",
" CONCAT(year, '-', LPAD(month, 2, '0'), '-', LPAD(day, 2, '0')) <= '2020-06-30'\n",
"GROUP BY \n",
" event.userid, \n",
" wiki\n",
"),\n",
"--find users that opt in to the reply tool preference \n",
"opt_in_users AS (\n",
"SELECT\n",
" event.userid as opt_in_user,\n",
" wiki as opt_in_wiki,\n",
" min(event.saveTimestamp) as opt_in_time,\n",
" sum(cast(event.value = '\\\"1\\\"' as int)) as opt_ins\n",
"FROM \n",
" event_sanitized.prefupdate\n",
"WHERE\n",
" event.property = 'discussiontools-betaenable' AND\n",
" wiki IN ('arwiki','nlwiki', 'frwiki', 'huwiki') AND\n",
" event.value = '\\\"1\\\"' AND\n",
" CONCAT(year, '-', LPAD(month, 2, '0'), '-', LPAD(day, 2, '0')) >= '2020-03-31' AND\n",
" CONCAT(year, '-', LPAD(month, 2, '0'), '-', LPAD(day, 2, '0')) <= '2020-06-30'\n",
"GROUP BY \n",
" event.userid, \n",
" wiki\n",
"),\n",
"\n",
"-- find users that made at least one edit with the reply tool\n",
"reply_users AS (\n",
"SELECT\n",
" event_user_id as reply_user,\n",
" wiki_db as reply_wiki,\n",
" min(mh.event_timestamp) as first_reply_time\n",
"FROM wmf.mediawiki_history AS mh\n",
"WHERE \n",
" ARRAY_CONTAINS(revision_tags, 'discussiontools') AND\n",
" snapshot = '2020-06' AND\n",
" event_timestamp >= '2020-03-31' AND \n",
" event_timestamp <= '2020-06-30' AND\n",
" wiki_db IN ('arwiki','nlwiki', 'frwiki', 'huwiki') AND NOT\n",
" ARRAY_CONTAINS(event_user_groups_historical, 'bCONCot') AND\n",
" event_entity = 'revision' AND \n",
" event_type = 'create'\n",
"GROUP BY\n",
" event_user_id,\n",
" wiki_db\n",
")\n",
"\n",
"-- Main Query --\n",
"SELECT\n",
" opt_out_wiki AS wiki,\n",
" SUM(CAST(opt_out_user IS NOT NULL and first_reply_time < opt_out_time and opt_in_user IS NULL AS int)) AS opt_out_users_autoenrolled,\n",
" SUM(CAST(opt_out_user IS NOT NULL and first_reply_time < opt_out_time and opt_ins = 1 AS int)) AS opt_out_users_explicitly_enrolled\n",
"\n",
"FROM (\n",
"SELECT\n",
" reply_users.first_reply_time,\n",
" opt_out_users.opt_out_time,\n",
" opt_out_users.opt_out_wiki,\n",
" opt_in_users.opt_in_user,\n",
" opt_in_users.opt_ins,\n",
" opt_out_users.opt_out_user\n",
"FROM reply_users\n",
"LEFT JOIN opt_out_users ON \n",
" reply_users.reply_user = opt_out_users.opt_out_user AND\n",
" reply_users.reply_wiki = opt_out_users.opt_out_wiki \n",
"LEFT JOIN opt_in_users ON \n",
" reply_users.reply_user = opt_in_users.opt_in_user AND\n",
" reply_users.reply_wiki = opt_in_users.opt_in_wiki \n",
"WHERE \n",
" opt_out_users.opt_outs = 1 \n",
") sessions\n",
"GROUP BY\n",
" sessions.opt_out_wiki\n",
"\""
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [],
"source": [
"opt_out_after_reply <- wmf::query_hive(query)"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [],
"source": [
"## add column of all reply tool users that made at least 1 edit.\n",
"\n",
"opt_out_after_reply$all_reply_users <- c(83,153,43,49)"
]
},
{
"cell_type": "code",
"execution_count": 17,
"metadata": {},
"outputs": [],
"source": [
"opt_out_after_reply_overall <- opt_out_after_reply %>%\n",
" summarise(percent_opt_out_autoenrolled = sum(opt_out_users_autoenrolled)/sum(all_reply_users) *100,\n",
" percent_opt_out_explicitly_enrolled\t= sum(opt_out_users_explicitly_enrolled/sum(all_reply_users) *100))"
]
},
{
"cell_type": "code",
"execution_count": 18,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"\n",
"A data.frame: 1 × 2\n",
"\n",
"\tpercent_opt_out_autoenrolled | percent_opt_out_explicitly_enrolled |
\n",
"\t<dbl> | <dbl> |
\n",
"\n",
"\n",
"\t3.658537 | 13.71951 |
\n",
"\n",
"
\n"
],
"text/latex": [
"A data.frame: 1 × 2\n",
"\\begin{tabular}{ll}\n",
" percent\\_opt\\_out\\_autoenrolled & percent\\_opt\\_out\\_explicitly\\_enrolled\\\\\n",
" & \\\\\n",
"\\hline\n",
"\t 3.658537 & 13.71951\\\\\n",
"\\end{tabular}\n"
],
"text/markdown": [
"\n",
"A data.frame: 1 × 2\n",
"\n",
"| percent_opt_out_autoenrolled <dbl> | percent_opt_out_explicitly_enrolled <dbl> |\n",
"|---|---|\n",
"| 3.658537 | 13.71951 |\n",
"\n"
],
"text/plain": [
" percent_opt_out_autoenrolled percent_opt_out_explicitly_enrolled\n",
"1 3.658537 13.71951 "
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"opt_out_after_reply_overall"
]
},
{
"cell_type": "code",
"execution_count": 19,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"\n",
"A data.frame: 4 × 6\n",
"\n",
"\t | wiki | opt_out_users_autoenrolled | opt_out_users_explicitly_enrolled | all_reply_users | percent_opt_out_autoenrolled | percent_opt_out_explicitly_enrolled |
\n",
"\t | <chr> | <int> | <int> | <dbl> | <dbl> | <dbl> |
\n",
"\n",
"\n",
"\t1 | arwiki | 3 | 15 | 83 | 3.614458 | 18.072289 |
\n",
"\t2 | frwiki | 7 | 18 | 153 | 4.575163 | 11.764706 |
\n",
"\t3 | huwiki | 1 | 3 | 43 | 2.325581 | 6.976744 |
\n",
"\t4 | nlwiki | 1 | 9 | 49 | 2.040816 | 18.367347 |
\n",
"\n",
"
\n"
],
"text/latex": [
"A data.frame: 4 × 6\n",
"\\begin{tabular}{r|llllll}\n",
" & wiki & opt\\_out\\_users\\_autoenrolled & opt\\_out\\_users\\_explicitly\\_enrolled & all\\_reply\\_users & percent\\_opt\\_out\\_autoenrolled & percent\\_opt\\_out\\_explicitly\\_enrolled\\\\\n",
" & & & & & & \\\\\n",
"\\hline\n",
"\t1 & arwiki & 3 & 15 & 83 & 3.614458 & 18.072289\\\\\n",
"\t2 & frwiki & 7 & 18 & 153 & 4.575163 & 11.764706\\\\\n",
"\t3 & huwiki & 1 & 3 & 43 & 2.325581 & 6.976744\\\\\n",
"\t4 & nlwiki & 1 & 9 & 49 & 2.040816 & 18.367347\\\\\n",
"\\end{tabular}\n"
],
"text/markdown": [
"\n",
"A data.frame: 4 × 6\n",
"\n",
"| | wiki <chr> | opt_out_users_autoenrolled <int> | opt_out_users_explicitly_enrolled <int> | all_reply_users <dbl> | percent_opt_out_autoenrolled <dbl> | percent_opt_out_explicitly_enrolled <dbl> |\n",
"|---|---|---|---|---|---|---|\n",
"| 1 | arwiki | 3 | 15 | 83 | 3.614458 | 18.072289 |\n",
"| 2 | frwiki | 7 | 18 | 153 | 4.575163 | 11.764706 |\n",
"| 3 | huwiki | 1 | 3 | 43 | 2.325581 | 6.976744 |\n",
"| 4 | nlwiki | 1 | 9 | 49 | 2.040816 | 18.367347 |\n",
"\n"
],
"text/plain": [
" wiki opt_out_users_autoenrolled opt_out_users_explicitly_enrolled\n",
"1 arwiki 3 15 \n",
"2 frwiki 7 18 \n",
"3 huwiki 1 3 \n",
"4 nlwiki 1 9 \n",
" all_reply_users percent_opt_out_autoenrolled\n",
"1 83 3.614458 \n",
"2 153 4.575163 \n",
"3 43 2.325581 \n",
"4 49 2.040816 \n",
" percent_opt_out_explicitly_enrolled\n",
"1 18.072289 \n",
"2 11.764706 \n",
"3 6.976744 \n",
"4 18.367347 "
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"opt_out_after_reply_bywiki <- opt_out_after_reply %>%\n",
" mutate(percent_opt_out_autoenrolled = opt_out_users_autoenrolled/all_reply_users * 100,\n",
" percent_opt_out_explicitly_enrolled = opt_out_users_explicitly_enrolled/all_reply_users * 100)\n",
"\n",
"head(opt_out_after_reply_bywiki)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"A total of 57 or 17.38% of all reply tool users explicitly turned off the feature after making at least 1 edit with the reply tool and did not turn it back on again. The majority of these users were users that explicility turned on the feature in beta features. \n",
"\n",
"On a per wiki basis, the highest percent of users that turned the feature off after turning it on was on Arabic Wikipedia (21.69%) and the lowest on Hungarian Wikipedia (9.3%)."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Duplicate Events in PrefUpdate"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"It looks like there are several duplicate events in PrefUpdate. I checked the number of duplicates to confirm the impact. There are 100 events that have been copies for discussiontools-betaenable. I updated the open phab task [T218835](https://phabricator.wikimedia.org/T218835) to document the identified bug. "
]
},
{
"cell_type": "code",
"execution_count": 334,
"metadata": {},
"outputs": [],
"source": [
"query <-\"SELECT event.property AS property, COUNT(*) AS duplicated_events\n",
"FROM (\n",
" SELECT event, COUNT(*) AS copies\n",
" FROM event.prefupdate \n",
" WHERE \n",
" event.property = 'discussiontools-betaenable' AND\n",
" wiki IN ('arwiki','nlwiki', 'frwiki', 'huwiki') AND\n",
" CONCAT(year, '-', LPAD(month, 2, '0'), '-', LPAD(day, 2, '0')) >= '2020-03-31' AND\n",
" CONCAT(year, '-', LPAD(month, 2, '0'), '-', LPAD(day, 2, '0')) <= '2020-06-26'\n",
" GROUP BY event\n",
" HAVING copies > 1) AS events\n",
"GROUP BY event.property\n",
"ORDER BY property LIMIT 10000;\""
]
},
{
"cell_type": "code",
"execution_count": 335,
"metadata": {},
"outputs": [],
"source": [
"reply_beta_duplicate_events <- wmf::query_hive(query)"
]
},
{
"cell_type": "code",
"execution_count": 336,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"\n",
"A data.frame: 1 × 2\n",
"\n",
"\t | property | duplicated_events |
\n",
"\t | <chr> | <int> |
\n",
"\n",
"\n",
"\t1 | discussiontools-betaenable | 100 |
\n",
"\n",
"
\n"
],
"text/latex": [
"A data.frame: 1 × 2\n",
"\\begin{tabular}{r|ll}\n",
" & property & duplicated\\_events\\\\\n",
" & & \\\\\n",
"\\hline\n",
"\t1 & discussiontools-betaenable & 100\\\\\n",
"\\end{tabular}\n"
],
"text/markdown": [
"\n",
"A data.frame: 1 × 2\n",
"\n",
"| | property <chr> | duplicated_events <int> |\n",
"|---|---|---|\n",
"| 1 | discussiontools-betaenable | 100 |\n",
"\n"
],
"text/plain": [
" property duplicated_events\n",
"1 discussiontools-betaenable 100 "
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"head(reply_beta_duplicate_events)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"This is a relatively large number of duplicates but it appears that most of the duplicate values but shouldn't signficantly impact the overall trends indicated by the data which indicate that the the opt-in and opt-out rate for the discussion tool has stablized after an initial overall decrease. "
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## How many people had the DiscussionTools Beta Feature turned on for them?\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
" Notes: \n",
" - \"Turned on for them\": Indicates users had the following preference checked: Automatically enable all new beta features.\n",
" - Data comes from the mediawiki [user properties](https://www.mediawiki.org/wiki/Manual:User_properties_table/en) table, where property is equal to 'betafeatures-auto-enroll'.\n",
" - Data represents total numbers of users that have set this preference as of 30 June 2020. \n",
" - Analysis in separate python notebook (auto_beta_users_collect.ipynb)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"| | Number of Auto Enrolled Beta Users | \n",
"|--------|--------------|\n",
"| arwiki | 9927 | \n",
"| nlwiki | 1274 | \n",
"| frwiki | 8170 | \n",
"| huwiki | 558 | "
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# How many people should we expect to try the Replying feature when it is turned on as an opt out user preference at our four partner wikis?\n",
"\n",
" Notes:\n",
" - Data from mediawiki_history.\n",
" - We reviewed the latest 30 days available at the time of analysis: 1-31 March 2020."
]
},
{
"cell_type": "code",
"execution_count": 594,
"metadata": {},
"outputs": [],
"source": [
"## Upper bound: number of people who have made at least 1 edit, \n",
"## in any namespace, in the previous 30 day period\n",
"query <- \"\n",
" SELECT\n",
" wiki,\n",
" count(*) AS n_editors\n",
"FROM (\n",
" SELECT\n",
" event_user_id as user_id,\n",
" wiki_db AS wiki,\n",
" max(size(event_user_is_bot_by) > 0 or size(event_user_is_bot_by_historical) > 0) as bot_by_group,\n",
" COUNT(*) as edits\n",
" FROM wmf.mediawiki_history\n",
" WHERE\n",
" event_timestamp >= '2020-06-01' AND \n",
" event_timestamp <= '2020-06-30' AND\n",
" event_entity = 'revision' AND\n",
" event_type = 'create' AND\n",
" wiki_db IN ('arwiki','nlwiki', 'frwiki', 'huwiki') AND\n",
" snapshot = '2020-06' AND\n",
" event_user_id != 0\n",
" GROUP BY \n",
" event_user_id,\n",
" wiki_db\n",
") edits\n",
"WHERE\n",
" not bot_by_group \n",
"GROUP BY \n",
" wiki\""
]
},
{
"cell_type": "code",
"execution_count": 595,
"metadata": {},
"outputs": [],
"source": [
"upper_bound_editors <- wmf::query_hive(query)"
]
},
{
"cell_type": "code",
"execution_count": 596,
"metadata": {},
"outputs": [],
"source": [
"## Lower bound: number of people who have made at least 1 edit \n",
"##in a talk namespace in the previous 30 day period\n",
"query <- \"\n",
" SELECT\n",
" wiki,\n",
" count(*) AS n_editors\n",
"FROM (\n",
" SELECT\n",
" event_user_id as user_id,\n",
" wiki_db AS wiki,\n",
" max(size(event_user_is_bot_by) > 0 or size(event_user_is_bot_by_historical) > 0) as bot_by_group,\n",
" COUNT(*) as edits\n",
" FROM wmf.mediawiki_history\n",
" WHERE\n",
" event_timestamp >= '2020-06-01' AND \n",
" event_timestamp <= '2020-06-30' AND\n",
" event_entity = 'revision' AND\n",
" event_type = 'create' AND\n",
" page_namespace_historical % 2 == 1 AND\n",
" wiki_db IN ('arwiki','nlwiki', 'frwiki', 'huwiki') AND\n",
" snapshot = '2020-06' AND\n",
" event_user_id != 0\n",
" GROUP BY \n",
" event_user_id,\n",
" wiki_db\n",
") edits\n",
"WHERE\n",
" not bot_by_group \n",
"GROUP BY \n",
" wiki\""
]
},
{
"cell_type": "code",
"execution_count": 597,
"metadata": {},
"outputs": [],
"source": [
"lower_bound_editors <- wmf::query_hive(query)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Expected Users Per Wiki: Upper and Lower Bounds (Based on numbers from 1-30 June 2020)\n",
"\n",
"| | upper bound | lower bound |\n",
"|--------|-------------|-------------|\n",
"| arwiki | 6,455 | 1,685 |\n",
"| nlwiki | 4,323 | 687 |\n",
"| frwiki | 20,049 | 3,539 |\n",
"| huwiki | 2,015 | 404 |"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# How many talk page edits are being made with the Reply Tool?\n",
"\n",
"Of the people who have made at least one edit with the Reply tool, how many of these people have made >5%, >10%, >25% and >50% - of their total talk page edits during the identified time period using the tool?\n",
"\n",
"Notes:\n",
"- Data comes from mediawiki_history. \n",
"- Reply tool edits: Any edit marked by discussiontool change tag. \n",
"- Talk Page edits: Any edit made in any of the talk pages.\n",
"- This metric has some slight noise as there could be cases where the following people end up looking the same in the data. In this case, both Person A and Person B would end up in the >50% bucket: Person A: made a total two edits to talk pages, one of which was with the Reply tool; Person B: made a total of 150 talk page edits, 75 of which were with the Reply tool.\n",
"- There are a couple cases where there are reply edits were recorded but no talk page edits marked for the user. I removed these for this analysis but further investigation is needed. "
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"# Obtain reply edits and total talk edits \n",
"# In terminal\n",
"# spark2R --master yarn --executor-memory 2G --executor-cores 1 --driver-memory 4G\n",
"\n",
"query <- \"\n",
"-- obtain all users who have made at least 1 edit with the reply tool\n",
"\n",
"with reply_users AS(\n",
"SELECT\n",
" event_user_id AS reply_user,\n",
" wiki_db AS reply_wiki\n",
"FROM wmf.mediawiki_history\n",
"WHERE \n",
" ARRAY_CONTAINS(revision_tags, 'discussiontools') AND\n",
" snapshot = '2020-06' AND\n",
" event_timestamp >= '2020-03-31' AND \n",
" event_timestamp <= '2020-06-31' AND\n",
" wiki_db IN ('arwiki','nlwiki', 'frwiki', 'huwiki') AND NOT\n",
" ARRAY_CONTAINS(event_user_groups_historical, 'bot') AND\n",
" event_entity = 'revision' AND \n",
" event_type = 'create' \n",
")\n",
"-- obtain user talk and reply counts\n",
"SELECT\n",
" user,\n",
" wiki,\n",
" SUM(CAST(reply_edit as int)) as reply_edits,\n",
" SUM(CAST(talk_edit as int)) as talk_edits\n",
"FROM (\n",
" SELECT\n",
" event_user_id as user,\n",
" wiki_db AS wiki,\n",
" array_contains(revision_tags, 'discussiontools') as reply_edit,\n",
" page_namespace_historical % 2 == 1 as talk_edit\n",
" FROM\n",
" wmf.mediawiki_history\n",
" WHERE\n",
" event_timestamp >= '2020-03-31' AND \n",
" event_timestamp <= '2020-06-30' AND\n",
" event_entity = 'revision' AND\n",
" event_type = 'create' AND\n",
" wiki_db IN ('arwiki','nlwiki', 'frwiki', 'huwiki') AND\n",
" snapshot = '2020-06' AND NOT\n",
" ARRAY_CONTAINS(event_user_groups_historical, 'bot') \n",
") edits\n",
"RIGHT JOIN \n",
" reply_users ON edits.user = reply_users.reply_user AND\n",
" edits.wiki = reply_users.reply_wiki\n",
"GROUP BY user, wiki\n",
"\"\n",
"\n",
"\n",
"results <- collect(sql(query))\n",
"save(results, file=\"Data/prop_reply_edits.RData\")"
]
},
{
"cell_type": "code",
"execution_count": 310,
"metadata": {},
"outputs": [],
"source": [
"load(\"Data/prop_reply_edits.RData\")\n",
"prop_reply_edits <- results"
]
},
{
"cell_type": "code",
"execution_count": 312,
"metadata": {},
"outputs": [],
"source": [
"prop_reply_edits_clean <- prop_reply_edits %>%\n",
" group_by(user, wiki) %>%\n",
" mutate(pct_reply = reply_edits/talk_edits * 100)"
]
},
{
"cell_type": "code",
"execution_count": 314,
"metadata": {},
"outputs": [],
"source": [
"\n",
"#Divide reply edits int0 edit count groups with bin width set to 5 edits\n",
"b <- c(0, 10, 20, 30, 40, 50, 60, 70, 80, 90, 100)\n",
"names <- c('1-10 percent', '11-20 percent', '21-30 percent', '31-40 percent', '41-50 percent', \n",
" '51-60 percent', '61-70 percent', '71-80 perent', '81-90 percent', '90-100 percent')\n",
"\n",
"prop_reply_edits_clean <- prop_reply_edits %>%\n",
" group_by(user, wiki) %>%\n",
" mutate(pct_reply = reply_edits/talk_edits * 100,\n",
" reply_prop_group = cut(pct_reply, breaks = b, labels = names)) "
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Overall proportion of user talk page edits made with reply tool "
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Proportion of user talk page edits made with reply tool that are under 5 percent"
]
},
{
"cell_type": "code",
"execution_count": 354,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"\n",
"A tibble: 1 × 3\n",
"\n",
"\tunder_5_percent | n_users | percent_users |
\n",
"\t<chr> | <int> | <dbl> |
\n",
"\n",
"\n",
"\tTrue | 59 | 17.9878 |
\n",
"\n",
"
\n"
],
"text/latex": [
"A tibble: 1 × 3\n",
"\\begin{tabular}{lll}\n",
" under\\_5\\_percent & n\\_users & percent\\_users\\\\\n",
" & & \\\\\n",
"\\hline\n",
"\t True & 59 & 17.9878\\\\\n",
"\\end{tabular}\n"
],
"text/markdown": [
"\n",
"A tibble: 1 × 3\n",
"\n",
"| under_5_percent <chr> | n_users <int> | percent_users <dbl> |\n",
"|---|---|---|\n",
"| True | 59 | 17.9878 |\n",
"\n"
],
"text/plain": [
" under_5_percent n_users percent_users\n",
"1 True 59 17.9878 "
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# Find overall number of users that made under 5 percent of talk page edits with the reply tool\n",
"prop_reply_overall_5percent <- prop_reply_edits_clean %>%\n",
" mutate(under_5_percent = ifelse(pct_reply < 5.0, 'True', 'False')) %>% \n",
" group_by(under_5_percent) %>% \n",
" filter(under_5_percent == 'True') %>% \n",
" summarise(n_users = n(),\n",
" percent_users = n_users/328 *100) \n",
"\n",
"prop_reply_overall_5percent"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Only about 18% of the reply tool users made under 5 percent of their talk page edits during the time period using the reply tool.\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Proportion of user talk page edits made with reply tool by percent group"
]
},
{
"cell_type": "code",
"execution_count": 320,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"\n",
"A tibble: 10 × 3\n",
"\n",
"\treply_prop_group | n_users | percent_reply_users |
\n",
"\t<fct> | <int> | <dbl> |
\n",
"\n",
"\n",
"\t1-10 percent | 98 | 0.31210191 |
\n",
"\t11-20 percent | 44 | 0.14012739 |
\n",
"\t21-30 percent | 31 | 0.09872611 |
\n",
"\t31-40 percent | 37 | 0.11783439 |
\n",
"\t41-50 percent | 30 | 0.09554140 |
\n",
"\t51-60 percent | 10 | 0.03184713 |
\n",
"\t61-70 percent | 10 | 0.03184713 |
\n",
"\t71-80 perent | 9 | 0.02866242 |
\n",
"\t81-90 percent | 8 | 0.02547771 |
\n",
"\t90-100 percent | 37 | 0.11783439 |
\n",
"\n",
"
\n"
],
"text/latex": [
"A tibble: 10 × 3\n",
"\\begin{tabular}{lll}\n",
" reply\\_prop\\_group & n\\_users & percent\\_reply\\_users\\\\\n",
" & & \\\\\n",
"\\hline\n",
"\t 1-10 percent & 98 & 0.31210191\\\\\n",
"\t 11-20 percent & 44 & 0.14012739\\\\\n",
"\t 21-30 percent & 31 & 0.09872611\\\\\n",
"\t 31-40 percent & 37 & 0.11783439\\\\\n",
"\t 41-50 percent & 30 & 0.09554140\\\\\n",
"\t 51-60 percent & 10 & 0.03184713\\\\\n",
"\t 61-70 percent & 10 & 0.03184713\\\\\n",
"\t 71-80 perent & 9 & 0.02866242\\\\\n",
"\t 81-90 percent & 8 & 0.02547771\\\\\n",
"\t 90-100 percent & 37 & 0.11783439\\\\\n",
"\\end{tabular}\n"
],
"text/markdown": [
"\n",
"A tibble: 10 × 3\n",
"\n",
"| reply_prop_group <fct> | n_users <int> | percent_reply_users <dbl> |\n",
"|---|---|---|\n",
"| 1-10 percent | 98 | 0.31210191 |\n",
"| 11-20 percent | 44 | 0.14012739 |\n",
"| 21-30 percent | 31 | 0.09872611 |\n",
"| 31-40 percent | 37 | 0.11783439 |\n",
"| 41-50 percent | 30 | 0.09554140 |\n",
"| 51-60 percent | 10 | 0.03184713 |\n",
"| 61-70 percent | 10 | 0.03184713 |\n",
"| 71-80 perent | 9 | 0.02866242 |\n",
"| 81-90 percent | 8 | 0.02547771 |\n",
"| 90-100 percent | 37 | 0.11783439 |\n",
"\n"
],
"text/plain": [
" reply_prop_group n_users percent_reply_users\n",
"1 1-10 percent 98 0.31210191 \n",
"2 11-20 percent 44 0.14012739 \n",
"3 21-30 percent 31 0.09872611 \n",
"4 31-40 percent 37 0.11783439 \n",
"5 41-50 percent 30 0.09554140 \n",
"6 51-60 percent 10 0.03184713 \n",
"7 61-70 percent 10 0.03184713 \n",
"8 71-80 perent 9 0.02866242 \n",
"9 81-90 percent 8 0.02547771 \n",
"10 90-100 percent 37 0.11783439 "
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# table of totals\n",
"\n",
"prop_reply_overall_bygroup <- prop_reply_edits_clean %>%\n",
" filter(!is.na(reply_prop_group)) %>% # a couple cases where there is a reply edit but not talk edit\n",
" group_by(reply_prop_group) %>%\n",
" summarise(n_users = n()) %>%\n",
" mutate(percent_reply_users = n_users/sum(n_users))\n",
"\n",
"prop_reply_overall_bygroup"
]
},
{
"cell_type": "code",
"execution_count": 602,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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4/KnTcvL4+eGInMbb02FVg5bZbM1cw///xT7ow5OTkWFhZyt4jVLgCgffAQQvr0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\n9sFC/VVgjZdsa2u7Z8+ewYMHCwSCgwcPXrlyZdy4cS1btiwoKDh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VK8eOHduiRQv9eoLbMhjeaewWmjq7/cXG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\n4cmTJ0U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RhJRQhJRQhJQQ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bpb2sTEhF3h4cOH9b0aIYS9vk6pcT/633//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\n/Q8F8PIXqSz2OAAAAABJRU5ErkJggg==",
"text/plain": [
"plot without title"
]
},
"metadata": {
"image/png": {
"height": 420,
"width": 600
},
"text/plain": {
"height": 420,
"width": 600
}
},
"output_type": "display_data"
}
],
"source": [
"#chart overall users by group\n",
"\n",
"p <- prop_reply_overall_bygroup %>%\n",
" ggplot(aes(x=reply_prop_group, y = percent_reply_users)) +\n",
" geom_bar(stat = 'identity', fill = 'darkblue') +\n",
" scale_y_continuous(labels = scales::percent) +\n",
" labs (y = \"Percent of reply tool users\",\n",
" x = \"Percent of talk edits that were made with reply tool\",\n",
" title = \"Reply Tool Users \\n overall by percent of talk page edits made with the reply tool\",\n",
" subtitle = \"31 March through 30 June 2020\") +\n",
" theme_bw() +\n",
" theme(\n",
" plot.title = element_text(hjust = 0.5),\n",
" text = element_text(size=16),\n",
" axis.text.x = element_text(angle=45, hjust=1),\n",
" legend.position = \"none\")\n",
" \n",
" \n",
"p"
]
},
{
"cell_type": "code",
"execution_count": 603,
"metadata": {},
"outputs": [],
"source": [
"ggsave(\"Figures/prop_reply_edits_overall.png\", p, width = 16, height = 8, units = \"in\", dpi = 300)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"The numbers of users is much more evenly distributed acorss the identified bins compared to the number of edits and number of days metrics.\n",
"\n",
"31% of reply tool users made between 1 to 10 percent of their talk page edits using the reply tool.\n",
"23.6% of reply tool users made over half of their talk page edits using the reply tool (76.4% made under 50% of their talk page edits using the reply tool)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Proportion of talk page edits made with reply tool by wiki"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Proportion of user talk page edits made with reply tool that are under 5 percent by wiki"
]
},
{
"cell_type": "code",
"execution_count": 359,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"\n",
"A grouped_df: 4 × 4\n",
"\n",
"\twiki | total_users | under_5percent_users | percent_users |
\n",
"\t<chr> | <int> | <int> | <dbl> |
\n",
"\n",
"\n",
"\tarwiki | 83 | 11 | 13.25301 |
\n",
"\tfrwiki | 155 | 32 | 20.64516 |
\n",
"\thuwiki | 44 | 7 | 15.90909 |
\n",
"\tnlwiki | 49 | 9 | 18.36735 |
\n",
"\n",
"
\n"
],
"text/latex": [
"A grouped\\_df: 4 × 4\n",
"\\begin{tabular}{llll}\n",
" wiki & total\\_users & under\\_5percent\\_users & percent\\_users\\\\\n",
" & & & \\\\\n",
"\\hline\n",
"\t arwiki & 83 & 11 & 13.25301\\\\\n",
"\t frwiki & 155 & 32 & 20.64516\\\\\n",
"\t huwiki & 44 & 7 & 15.90909\\\\\n",
"\t nlwiki & 49 & 9 & 18.36735\\\\\n",
"\\end{tabular}\n"
],
"text/markdown": [
"\n",
"A grouped_df: 4 × 4\n",
"\n",
"| wiki <chr> | total_users <int> | under_5percent_users <int> | percent_users <dbl> |\n",
"|---|---|---|---|\n",
"| arwiki | 83 | 11 | 13.25301 |\n",
"| frwiki | 155 | 32 | 20.64516 |\n",
"| huwiki | 44 | 7 | 15.90909 |\n",
"| nlwiki | 49 | 9 | 18.36735 |\n",
"\n"
],
"text/plain": [
" wiki total_users under_5percent_users percent_users\n",
"1 arwiki 83 11 13.25301 \n",
"2 frwiki 155 32 20.64516 \n",
"3 huwiki 44 7 15.90909 \n",
"4 nlwiki 49 9 18.36735 "
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# Find number of users that made under 5 percent of talk page edits with the reply tool by wiki\n",
"prop_reply_bywiki_5percent <- prop_reply_edits_clean %>%\n",
" group_by(wiki) %>%\n",
" mutate(total_users = n()) %>%\n",
" filter(pct_reply < 5.0) %>% \n",
" group_by(wiki, total_users) %>%\n",
" summarise(under_5percent_users = n()) %>%\n",
" mutate(percent_users = under_5percent_users/total_users*100) \n",
" \n",
"prop_reply_bywiki_5percent\n",
"\n",
"\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"The proportion of reply users that made under 5 percent of their talk page edits with the reply tool ranged from 13.25% on Arabic Wikipedia to 20.65% on French Wikipedia. "
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Proportion of user talk page edits made with reply tool by percent group and wiki"
]
},
{
"cell_type": "code",
"execution_count": 328,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"\n",
"A grouped_df: 38 × 4\n",
"\n",
"\twiki | reply_prop_group | n_users | percent_reply_users |
\n",
"\t<chr> | <fct> | <int> | <dbl> |
\n",
"\n",
"\n",
"\tarwiki | 1-10 percent | 21 | 0.26250000 |
\n",
"\tarwiki | 11-20 percent | 15 | 0.18750000 |
\n",
"\tarwiki | 21-30 percent | 8 | 0.10000000 |
\n",
"\tarwiki | 31-40 percent | 11 | 0.13750000 |
\n",
"\tarwiki | 41-50 percent | 8 | 0.10000000 |
\n",
"\tarwiki | 51-60 percent | 3 | 0.03750000 |
\n",
"\tarwiki | 61-70 percent | 2 | 0.02500000 |
\n",
"\tarwiki | 71-80 perent | 2 | 0.02500000 |
\n",
"\tarwiki | 90-100 percent | 10 | 0.12500000 |
\n",
"\tfrwiki | 1-10 percent | 50 | 0.33333333 |
\n",
"\tfrwiki | 11-20 percent | 22 | 0.14666667 |
\n",
"\tfrwiki | 21-30 percent | 13 | 0.08666667 |
\n",
"\tfrwiki | 31-40 percent | 20 | 0.13333333 |
\n",
"\tfrwiki | 41-50 percent | 13 | 0.08666667 |
\n",
"\tfrwiki | 51-60 percent | 3 | 0.02000000 |
\n",
"\tfrwiki | 61-70 percent | 6 | 0.04000000 |
\n",
"\tfrwiki | 71-80 perent | 3 | 0.02000000 |
\n",
"\tfrwiki | 81-90 percent | 3 | 0.02000000 |
\n",
"\tfrwiki | 90-100 percent | 17 | 0.11333333 |
\n",
"\thuwiki | 1-10 percent | 12 | 0.30769231 |
\n",
"\thuwiki | 11-20 percent | 3 | 0.07692308 |
\n",
"\thuwiki | 21-30 percent | 5 | 0.12820513 |
\n",
"\thuwiki | 31-40 percent | 3 | 0.07692308 |
\n",
"\thuwiki | 41-50 percent | 5 | 0.12820513 |
\n",
"\thuwiki | 51-60 percent | 2 | 0.05128205 |
\n",
"\thuwiki | 71-80 perent | 2 | 0.05128205 |
\n",
"\thuwiki | 81-90 percent | 2 | 0.05128205 |
\n",
"\thuwiki | 90-100 percent | 5 | 0.12820513 |
\n",
"\tnlwiki | 1-10 percent | 15 | 0.33333333 |
\n",
"\tnlwiki | 11-20 percent | 4 | 0.08888889 |
\n",
"\tnlwiki | 21-30 percent | 5 | 0.11111111 |
\n",
"\tnlwiki | 31-40 percent | 3 | 0.06666667 |
\n",
"\tnlwiki | 41-50 percent | 4 | 0.08888889 |
\n",
"\tnlwiki | 51-60 percent | 2 | 0.04444444 |
\n",
"\tnlwiki | 61-70 percent | 2 | 0.04444444 |
\n",
"\tnlwiki | 71-80 perent | 2 | 0.04444444 |
\n",
"\tnlwiki | 81-90 percent | 3 | 0.06666667 |
\n",
"\tnlwiki | 90-100 percent | 5 | 0.11111111 |
\n",
"\n",
"
\n"
],
"text/latex": [
"A grouped\\_df: 38 × 4\n",
"\\begin{tabular}{llll}\n",
" wiki & reply\\_prop\\_group & n\\_users & percent\\_reply\\_users\\\\\n",
" & & & \\\\\n",
"\\hline\n",
"\t arwiki & 1-10 percent & 21 & 0.26250000\\\\\n",
"\t arwiki & 11-20 percent & 15 & 0.18750000\\\\\n",
"\t arwiki & 21-30 percent & 8 & 0.10000000\\\\\n",
"\t arwiki & 31-40 percent & 11 & 0.13750000\\\\\n",
"\t arwiki & 41-50 percent & 8 & 0.10000000\\\\\n",
"\t arwiki & 51-60 percent & 3 & 0.03750000\\\\\n",
"\t arwiki & 61-70 percent & 2 & 0.02500000\\\\\n",
"\t arwiki & 71-80 perent & 2 & 0.02500000\\\\\n",
"\t arwiki & 90-100 percent & 10 & 0.12500000\\\\\n",
"\t frwiki & 1-10 percent & 50 & 0.33333333\\\\\n",
"\t frwiki & 11-20 percent & 22 & 0.14666667\\\\\n",
"\t frwiki & 21-30 percent & 13 & 0.08666667\\\\\n",
"\t frwiki & 31-40 percent & 20 & 0.13333333\\\\\n",
"\t frwiki & 41-50 percent & 13 & 0.08666667\\\\\n",
"\t frwiki & 51-60 percent & 3 & 0.02000000\\\\\n",
"\t frwiki & 61-70 percent & 6 & 0.04000000\\\\\n",
"\t frwiki & 71-80 perent & 3 & 0.02000000\\\\\n",
"\t frwiki & 81-90 percent & 3 & 0.02000000\\\\\n",
"\t frwiki & 90-100 percent & 17 & 0.11333333\\\\\n",
"\t huwiki & 1-10 percent & 12 & 0.30769231\\\\\n",
"\t huwiki & 11-20 percent & 3 & 0.07692308\\\\\n",
"\t huwiki & 21-30 percent & 5 & 0.12820513\\\\\n",
"\t huwiki & 31-40 percent & 3 & 0.07692308\\\\\n",
"\t huwiki & 41-50 percent & 5 & 0.12820513\\\\\n",
"\t huwiki & 51-60 percent & 2 & 0.05128205\\\\\n",
"\t huwiki & 71-80 perent & 2 & 0.05128205\\\\\n",
"\t huwiki & 81-90 percent & 2 & 0.05128205\\\\\n",
"\t huwiki & 90-100 percent & 5 & 0.12820513\\\\\n",
"\t nlwiki & 1-10 percent & 15 & 0.33333333\\\\\n",
"\t nlwiki & 11-20 percent & 4 & 0.08888889\\\\\n",
"\t nlwiki & 21-30 percent & 5 & 0.11111111\\\\\n",
"\t nlwiki & 31-40 percent & 3 & 0.06666667\\\\\n",
"\t nlwiki & 41-50 percent & 4 & 0.08888889\\\\\n",
"\t nlwiki & 51-60 percent & 2 & 0.04444444\\\\\n",
"\t nlwiki & 61-70 percent & 2 & 0.04444444\\\\\n",
"\t nlwiki & 71-80 perent & 2 & 0.04444444\\\\\n",
"\t nlwiki & 81-90 percent & 3 & 0.06666667\\\\\n",
"\t nlwiki & 90-100 percent & 5 & 0.11111111\\\\\n",
"\\end{tabular}\n"
],
"text/markdown": [
"\n",
"A grouped_df: 38 × 4\n",
"\n",
"| wiki <chr> | reply_prop_group <fct> | n_users <int> | percent_reply_users <dbl> |\n",
"|---|---|---|---|\n",
"| arwiki | 1-10 percent | 21 | 0.26250000 |\n",
"| arwiki | 11-20 percent | 15 | 0.18750000 |\n",
"| arwiki | 21-30 percent | 8 | 0.10000000 |\n",
"| arwiki | 31-40 percent | 11 | 0.13750000 |\n",
"| arwiki | 41-50 percent | 8 | 0.10000000 |\n",
"| arwiki | 51-60 percent | 3 | 0.03750000 |\n",
"| arwiki | 61-70 percent | 2 | 0.02500000 |\n",
"| arwiki | 71-80 perent | 2 | 0.02500000 |\n",
"| arwiki | 90-100 percent | 10 | 0.12500000 |\n",
"| frwiki | 1-10 percent | 50 | 0.33333333 |\n",
"| frwiki | 11-20 percent | 22 | 0.14666667 |\n",
"| frwiki | 21-30 percent | 13 | 0.08666667 |\n",
"| frwiki | 31-40 percent | 20 | 0.13333333 |\n",
"| frwiki | 41-50 percent | 13 | 0.08666667 |\n",
"| frwiki | 51-60 percent | 3 | 0.02000000 |\n",
"| frwiki | 61-70 percent | 6 | 0.04000000 |\n",
"| frwiki | 71-80 perent | 3 | 0.02000000 |\n",
"| frwiki | 81-90 percent | 3 | 0.02000000 |\n",
"| frwiki | 90-100 percent | 17 | 0.11333333 |\n",
"| huwiki | 1-10 percent | 12 | 0.30769231 |\n",
"| huwiki | 11-20 percent | 3 | 0.07692308 |\n",
"| huwiki | 21-30 percent | 5 | 0.12820513 |\n",
"| huwiki | 31-40 percent | 3 | 0.07692308 |\n",
"| huwiki | 41-50 percent | 5 | 0.12820513 |\n",
"| huwiki | 51-60 percent | 2 | 0.05128205 |\n",
"| huwiki | 71-80 perent | 2 | 0.05128205 |\n",
"| huwiki | 81-90 percent | 2 | 0.05128205 |\n",
"| huwiki | 90-100 percent | 5 | 0.12820513 |\n",
"| nlwiki | 1-10 percent | 15 | 0.33333333 |\n",
"| nlwiki | 11-20 percent | 4 | 0.08888889 |\n",
"| nlwiki | 21-30 percent | 5 | 0.11111111 |\n",
"| nlwiki | 31-40 percent | 3 | 0.06666667 |\n",
"| nlwiki | 41-50 percent | 4 | 0.08888889 |\n",
"| nlwiki | 51-60 percent | 2 | 0.04444444 |\n",
"| nlwiki | 61-70 percent | 2 | 0.04444444 |\n",
"| nlwiki | 71-80 perent | 2 | 0.04444444 |\n",
"| nlwiki | 81-90 percent | 3 | 0.06666667 |\n",
"| nlwiki | 90-100 percent | 5 | 0.11111111 |\n",
"\n"
],
"text/plain": [
" wiki reply_prop_group n_users percent_reply_users\n",
"1 arwiki 1-10 percent 21 0.26250000 \n",
"2 arwiki 11-20 percent 15 0.18750000 \n",
"3 arwiki 21-30 percent 8 0.10000000 \n",
"4 arwiki 31-40 percent 11 0.13750000 \n",
"5 arwiki 41-50 percent 8 0.10000000 \n",
"6 arwiki 51-60 percent 3 0.03750000 \n",
"7 arwiki 61-70 percent 2 0.02500000 \n",
"8 arwiki 71-80 perent 2 0.02500000 \n",
"9 arwiki 90-100 percent 10 0.12500000 \n",
"10 frwiki 1-10 percent 50 0.33333333 \n",
"11 frwiki 11-20 percent 22 0.14666667 \n",
"12 frwiki 21-30 percent 13 0.08666667 \n",
"13 frwiki 31-40 percent 20 0.13333333 \n",
"14 frwiki 41-50 percent 13 0.08666667 \n",
"15 frwiki 51-60 percent 3 0.02000000 \n",
"16 frwiki 61-70 percent 6 0.04000000 \n",
"17 frwiki 71-80 perent 3 0.02000000 \n",
"18 frwiki 81-90 percent 3 0.02000000 \n",
"19 frwiki 90-100 percent 17 0.11333333 \n",
"20 huwiki 1-10 percent 12 0.30769231 \n",
"21 huwiki 11-20 percent 3 0.07692308 \n",
"22 huwiki 21-30 percent 5 0.12820513 \n",
"23 huwiki 31-40 percent 3 0.07692308 \n",
"24 huwiki 41-50 percent 5 0.12820513 \n",
"25 huwiki 51-60 percent 2 0.05128205 \n",
"26 huwiki 71-80 perent 2 0.05128205 \n",
"27 huwiki 81-90 percent 2 0.05128205 \n",
"28 huwiki 90-100 percent 5 0.12820513 \n",
"29 nlwiki 1-10 percent 15 0.33333333 \n",
"30 nlwiki 11-20 percent 4 0.08888889 \n",
"31 nlwiki 21-30 percent 5 0.11111111 \n",
"32 nlwiki 31-40 percent 3 0.06666667 \n",
"33 nlwiki 41-50 percent 4 0.08888889 \n",
"34 nlwiki 51-60 percent 2 0.04444444 \n",
"35 nlwiki 61-70 percent 2 0.04444444 \n",
"36 nlwiki 71-80 perent 2 0.04444444 \n",
"37 nlwiki 81-90 percent 3 0.06666667 \n",
"38 nlwiki 90-100 percent 5 0.11111111 "
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# table per wiki\n",
"\n",
"prop_reply_edits_bywiki <- prop_reply_edits_clean %>%\n",
" filter(!is.na(reply_prop_group)) %>% # a couple cases where there is a reply edit but not talk edit\n",
" group_by(wiki, reply_prop_group) %>%\n",
" summarise(n_users = n()) %>%\n",
" mutate(percent_reply_users = n_users/sum(n_users))\n",
" \n",
"\n",
"prop_reply_edits_bywiki"
]
},
{
"cell_type": "code",
"execution_count": 604,
"metadata": {},
"outputs": [
{
"data": {
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kKIg4PDmTNnZBaqef2RtzuaRAUAYLAw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\nd+/e/fDhA/uu6n/+85+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AAAAAvuZBQdilSxchxJYtW+rpo07t2rVr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\nMhoXAwA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ldXf/fdd2zz+BciT04e/0Lk1bdhw4b4+Ph5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\nnj17Ni1W9+bNm3v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"text/plain": [
"plot without title"
]
},
"metadata": {
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"height": 420,
"width": 600
},
"text/plain": {
"height": 420,
"width": 600
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"output_type": "display_data"
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],
"source": [
"# graph of per wiki numbers\n",
"\n",
"p <- prop_reply_edits_bywiki %>%\n",
" ggplot(aes(x=reply_prop_group, y = percent_reply_users)) +\n",
" geom_col(fill = 'darkblue') +\n",
" facet_wrap(~wiki) +\n",
" scale_y_continuous(labels = scales::percent) +\n",
" labs (y = \"Percent of reply tool users\",\n",
" x = \"Percent of talk edits that were made with reply tool\",\n",
" title = \"Reply Tool Users \\n by percent of talk page edits made with the reply tool\",\n",
" subtitle = \"31 March through 30 June 2020\") +\n",
" theme_bw() +\n",
" theme(\n",
" plot.title = element_text(hjust = 0.5),\n",
" text = element_text(size=16),\n",
" axis.text.x = element_text(angle=45, hjust=1),\n",
" legend.position = \"none\")\n",
" \n",
" \n",
"p"
]
},
{
"cell_type": "code",
"execution_count": 605,
"metadata": {},
"outputs": [],
"source": [
"ggsave(\"Figures/prop_reply_edits_bywiki.png\", p, width = 16, height = 8, units = \"in\", dpi = 300)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"French and Dutch Wikipedia had the highest percentage of reply users that made between 1 to 10 percent of their edits using the reply tool.\n",
"\n",
"Arabic Wikipedia had the highest percentage of reply users that made between 11 to 20 percent of thier edits using the reply tool."
]
}
],
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"display_name": "R",
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