From 861452e0c710f3bd6b5c1c4a773450e35f79f116 Mon Sep 17 00:00:00 2001
From: Mohan1503 <bvmr2003@gmail.com>
Date: Thu, 10 Jul 2025 10:27:00 +0530
Subject: [PATCH 1/3] Add files via upload

---
 notebooks/notebook-mohan.ipynb | 799 +++++++++++++++++++++++++++++++++
 1 file changed, 799 insertions(+)
 create mode 100644 notebooks/notebook-mohan.ipynb

diff --git a/notebooks/notebook-mohan.ipynb b/notebooks/notebook-mohan.ipynb
new file mode 100644
index 0000000..d71938c
--- /dev/null
+++ b/notebooks/notebook-mohan.ipynb
@@ -0,0 +1,799 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 31,
+   "id": "2990c8b4-2011-405c-98f5-b8b27c784257",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import pandas as pd\n",
+    "import pymysql\n",
+    "import matplotlib.pyplot as plt\n",
+    "import numpy as np\n",
+    "import warnings\n",
+    "import requests"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 32,
+   "id": "f6fff011-f175-4cf9-b6ad-13fad1e81ce6",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "warnings.filterwarnings('ignore')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 33,
+   "id": "b07b16ae-883f-411b-8b3b-0355193608aa",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# function to connect to wiki_dbs and query\n",
+    "def connect_and_query(wiki_name, query, cnf_path = \"/home/paws/.my.cnf\"):\n",
+    "    \n",
+    "    conn = pymysql.connect(host = wiki_name + '.analytics.db.svc.wikimedia.cloud',\n",
+    "                           read_default_file = cnf_path,\n",
+    "                           database = wiki_name + '_p')\n",
+    "    \n",
+    "    with conn.cursor() as cur:\n",
+    "        cur.execute(query)\n",
+    "        data = cur.fetchall()\n",
+    "    \n",
+    "    conn.close()\n",
+    "    return data"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 34,
+   "id": "751f83e6-9034-4058-a3fe-66065360084c",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "wikis = ['tewiki', 'hiwiki', 'mlwiki']\n",
+    "all_dfs = []"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "84da38ec-b913-4182-aa19-5f3e5eb7b339",
+   "metadata": {},
+   "source": [
+    "**Proportion of new users activated (last 30 days)**"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 31,
+   "id": "25aa7329-2424-4c54-848f-0f7d55191874",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "query_url = \"https://raw.githubusercontent.com/Mohan1503/community-insights-dashboard-tooling/main/Proportion of new users activated (last 30 days).sql\"\n",
+    "query1 = requests.get(query_url).text"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "6e7b405c-356a-4b16-9bbf-b18c7f9425f2",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "🔄 Querying tewiki...\n",
+      "🔄 Querying mlwiki...\n",
+      "📊 Activation Table:\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>wiki</th>\n",
+       "      <th>total_new_users</th>\n",
+       "      <th>new_users_with_1_edit</th>\n",
+       "      <th>new_users_with_5_edits</th>\n",
+       "      <th>activation_rate_1_edit_percent</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>tewiki</td>\n",
+       "      <td>396</td>\n",
+       "      <td>28</td>\n",
+       "      <td>4</td>\n",
+       "      <td>7.07</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>mlwiki</td>\n",
+       "      <td>588</td>\n",
+       "      <td>67</td>\n",
+       "      <td>9</td>\n",
+       "      <td>11.39</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "     wiki  total_new_users new_users_with_1_edit new_users_with_5_edits  \\\n",
+       "0  tewiki              396                    28                      4   \n",
+       "1  mlwiki              588                    67                      9   \n",
+       "\n",
+       "  activation_rate_1_edit_percent  \n",
+       "0                           7.07  \n",
+       "1                          11.39  "
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 800x500 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "import pandas as pd\n",
+    "import pymysql\n",
+    "import matplotlib.pyplot as plt\n",
+    "import warnings\n",
+    "warnings.filterwarnings(\"ignore\")\n",
+    "\n",
+    "# Function to connect and run SQL query\n",
+    "def connect_and_query(wiki_name, query, cnf_path=\"/home/paws/.my.cnf\"):\n",
+    "    try:\n",
+    "        conn = pymysql.connect(\n",
+    "            host=f\"{wiki_name}.analytics.db.svc.wikimedia.cloud\",\n",
+    "            read_default_file=cnf_path,\n",
+    "            database=f\"{wiki_name}_p\"\n",
+    "        )\n",
+    "        with conn.cursor() as cur:\n",
+    "            cur.execute(query)\n",
+    "            data = cur.fetchall()\n",
+    "        conn.close()\n",
+    "        return data\n",
+    "    except Exception as e:\n",
+    "        print(f\"❌ Error querying {wiki_name}: {e}\")\n",
+    "        return []\n",
+    "\n",
+    "# Your query: overall activation metrics for last 30 days\n",
+    "query = \"\"\"\n",
+    "WITH new_user_edit_counts AS (\n",
+    "    SELECT \n",
+    "        u.user_id,\n",
+    "        u.user_registration,\n",
+    "        COALESCE(COUNT(r.rev_id), 0) AS edit_count\n",
+    "    FROM user u\n",
+    "    LEFT JOIN actor a ON u.user_id = a.actor_user\n",
+    "    LEFT JOIN revision r ON a.actor_id = r.rev_actor\n",
+    "    WHERE u.user_registration >= NOW() - INTERVAL 30 DAY\n",
+    "    GROUP BY u.user_id, u.user_registration\n",
+    ")\n",
+    "SELECT \n",
+    "    COUNT(*) AS total_new_users,\n",
+    "    SUM(CASE WHEN edit_count >= 1 THEN 1 ELSE 0 END) AS new_users_with_1_edit,\n",
+    "    SUM(CASE WHEN edit_count >= 5 THEN 1 ELSE 0 END) AS new_users_with_5_edits,\n",
+    "    ROUND(\n",
+    "        (SUM(CASE WHEN edit_count >= 1 THEN 1 ELSE 0 END) * 100.0) / COUNT(*), \n",
+    "        2\n",
+    "    ) AS activation_rate_1_edit_percent\n",
+    "FROM new_user_edit_counts;\n",
+    "\"\"\"\n",
+    "\n",
+    "# Wikis to analyze\n",
+    "wikis = ['tewiki',  'mlwiki']\n",
+    "results = []\n",
+    "\n",
+    "# Run query for each wiki\n",
+    "for wiki in wikis:\n",
+    "    print(f\"🔄 Querying {wiki}...\")\n",
+    "    output = connect_and_query(wiki, query)\n",
+    "    if output:\n",
+    "        row = list(output[0])\n",
+    "        row.insert(0, wiki)  # add wiki name\n",
+    "        results.append(row)\n",
+    "    else:\n",
+    "        print(f\"⚠️ No data from {wiki}\")\n",
+    "\n",
+    "# Convert to DataFrame\n",
+    "if results:\n",
+    "    df = pd.DataFrame(results, columns=[\n",
+    "        'wiki',\n",
+    "        'total_new_users',\n",
+    "        'new_users_with_1_edit',\n",
+    "        'new_users_with_5_edits',\n",
+    "        'activation_rate_1_edit_percent'\n",
+    "    ])\n",
+    "    print(\"📊 Activation Table:\")\n",
+    "    display(df)\n",
+    "\n",
+    "    # Plot bar chart of activation rate\n",
+    "    plt.figure(figsize=(8, 5))\n",
+    "    plt.bar(df['wiki'], df['activation_rate_1_edit_percent'], color='mediumseagreen')\n",
+    "    plt.title('Activation Rate (1+ Edits) in Last 30 Days')\n",
+    "    plt.xlabel('Wiki')\n",
+    "    plt.ylabel('Activation Rate (%)')\n",
+    "    plt.ylim(0, 100)\n",
+    "    plt.grid(axis='y', linestyle='--', alpha=0.7)\n",
+    "    plt.tight_layout()\n",
+    "    plt.show()\n",
+    "else:\n",
+    "    print(\"❌ No data to show.\")\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "77e073a7-003c-4098-85ca-17fe1cdce5a0",
+   "metadata": {},
+   "source": [
+    "**top edited content pages for the selected time range**"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 37,
+   "id": "3268bcd5-7ab1-4bfa-a8c1-63994f7cc42c",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "query = \"\"\"\n",
+    "SELECT \n",
+    "    DATE(r.rev_timestamp) AS edit_date,\n",
+    "    p.page_id, \n",
+    "    p.page_title, \n",
+    "    COUNT(DISTINCT r.rev_id) AS edit_count\n",
+    "FROM revision r\n",
+    "JOIN page p ON r.rev_page = p.page_id\n",
+    "WHERE p.page_namespace = 0\n",
+    "GROUP BY DATE(r.rev_timestamp), p.page_id, p.page_title\n",
+    "ORDER BY edit_count DESC, edit_date DESC\n",
+    "LIMIT 10;\n",
+    "\"\"\""
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 38,
+   "id": "2f7f581f-e614-42d2-9268-2d89e56261e1",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def run_query_for_wikis(wikis, query):\n",
+    "    results = []\n",
+    "    for wiki in wikis:\n",
+    "        print(f\"Querying {wiki}...\")\n",
+    "        output = connect_and_query(wiki, query)\n",
+    "        df = pd.DataFrame(output, columns=['page_title', 'edit_count'])\n",
+    "        df['wiki'] = wiki\n",
+    "        # Add clickable link to article\n",
+    "        df['page_url'] = df.apply(\n",
+    "            lambda row: f\"https://{row['wiki'].replace('wiki','')}.wikipedia.org/wiki/{str(row['page_title']).replace(' ', '_')}\",\n",
+    "            axis=1\n",
+    "        )\n",
+    "        results.append(df)\n",
+    "    return pd.concat(results, ignore_index=True)\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 39,
+   "id": "d1fca6a7-86ca-41e6-83c6-bcb02d65d10b",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "🔄 Querying tewiki...\n",
+      "✅ Table for tewiki\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<h3>TEWIKI – Top 10 Edited Pages</h3>"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th>edit_date</th>\n",
+       "      <th>page_title</th>\n",
+       "      <th>edit_count</th>\n",
+       "      <th>article_link</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <td>2015-10-20</td>\n",
+       "      <td>b'\\xe0\\xb0\\xad\\xe0\\xb0\\xbe\\xe0\\xb0\\xb0\\xe0\\xb0\\xa4\\xe0\\xb0\\xa6\\xe0\\xb1\\x87\\xe0\\xb0\\xb6_\\xe0\\xb0\\xaa\\xe0\\xb1\\x8d\\xe0\\xb0\\xb0\\xe0\\xb0\\xaf\\xe0\\xb0\\xbe\\xe0\\xb0\\xa3\\xe0\\xb1\\x80\\xe0\\xb0\\x95\\xe0\\xb1\\x81\\xe0\\xb0\\xb2_\\xe0\\xb0\\xb0\\xe0\\xb1\\x88\\xe0\\xb0\\xb3\\xe0\\xb1\\x8d\\xe0\\xb0\\xb2\\xe0\\xb1\\x81_\\xe0\\xb0\\x9c\\xe0\\xb0\\xbe\\xe0\\xb0\\xac\\xe0\\xb0\\xbf\\xe0\\xb0\\xa4\\xe0\\xb0\\xbe'</td>\n",
+       "      <td>435</td>\n",
+       "      <td><a href='https://te.wikipedia.org/wiki/b'\\xe0\\xb0\\xad\\xe0\\xb0\\xbe\\xe0\\xb0\\xb0\\xe0\\xb0\\xa4\\xe0\\xb0\\xa6\\xe0\\xb1\\x87\\xe0\\xb0\\xb6_\\xe0\\xb0\\xaa\\xe0\\xb1\\x8d\\xe0\\xb0\\xb0\\xe0\\xb0\\xaf\\xe0\\xb0\\xbe\\xe0\\xb0\\xa3\\xe0\\xb1\\x80\\xe0\\xb0\\x95\\xe0\\xb1\\x81\\xe0\\xb0\\xb2_\\xe0\\xb0\\xb0\\xe0\\xb1\\x88\\xe0\\xb0\\xb3\\xe0\\xb1\\x8d\\xe0\\xb0\\xb2\\xe0\\xb1\\x81_\\xe0\\xb0\\x9c\\xe0\\xb0\\xbe\\xe0\\xb0\\xac\\xe0\\xb0\\xbf\\xe0\\xb0\\xa4\\xe0\\xb0\\xbe'' target='_blank'>View</a></td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <td>2019-01-04</td>\n",
+       "      <td>b'\\xe0\\xb0\\xad\\xe0\\xb0\\xbe\\xe0\\xb0\\xb0\\xe0\\xb0\\xa4\\xe0\\xb1\\x80\\xe0\\xb0\\xaf_\\xe0\\xb0\\xb0\\xe0\\xb1\\x88\\xe0\\xb0\\xb2\\xe0\\xb1\\x8d\\xe0\\xb0\\xb5\\xe0\\xb1\\x87_\\xe0\\xb0\\xb8\\xe0\\xb1\\x8d\\xe0\\xb0\\x9f\\xe0\\xb1\\x87\\xe0\\xb0\\xb7\\xe0\\xb0\\xa8\\xe0\\xb1\\x8d\\xe0\\xb0\\xb2_\\xe0\\xb0\\x9c\\xe0\\xb0\\xbe\\xe0\\xb0\\xac\\xe0\\xb0\\xbf\\xe0\\xb0\\xa4\\xe0\\xb0\\xbe'</td>\n",
+       "      <td>340</td>\n",
+       "      <td><a href='https://te.wikipedia.org/wiki/b'\\xe0\\xb0\\xad\\xe0\\xb0\\xbe\\xe0\\xb0\\xb0\\xe0\\xb0\\xa4\\xe0\\xb1\\x80\\xe0\\xb0\\xaf_\\xe0\\xb0\\xb0\\xe0\\xb1\\x88\\xe0\\xb0\\xb2\\xe0\\xb1\\x8d\\xe0\\xb0\\xb5\\xe0\\xb1\\x87_\\xe0\\xb0\\xb8\\xe0\\xb1\\x8d\\xe0\\xb0\\x9f\\xe0\\xb1\\x87\\xe0\\xb0\\xb7\\xe0\\xb0\\xa8\\xe0\\xb1\\x8d\\xe0\\xb0\\xb2_\\xe0\\xb0\\x9c\\xe0\\xb0\\xbe\\xe0\\xb0\\xac\\xe0\\xb0\\xbf\\xe0\\xb0\\xa4\\xe0\\xb0\\xbe'' target='_blank'>View</a></td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <td>2018-06-25</td>\n",
+       "      <td>b'\\xe0\\xb0\\xad\\xe0\\xb0\\xbe\\xe0\\xb0\\xb0\\xe0\\xb0\\xa4\\xe0\\xb1\\x80\\xe0\\xb0\\xaf_\\xe0\\xb0\\xb0\\xe0\\xb1\\x88\\xe0\\xb0\\xb2\\xe0\\xb1\\x8d\\xe0\\xb0\\xb5\\xe0\\xb1\\x87_\\xe0\\xb0\\xb8\\xe0\\xb1\\x8d\\xe0\\xb0\\x9f\\xe0\\xb1\\x87\\xe0\\xb0\\xb7\\xe0\\xb0\\xa8\\xe0\\xb1\\x8d\\xe0\\xb0\\xb2_\\xe0\\xb0\\x9c\\xe0\\xb0\\xbe\\xe0\\xb0\\xac\\xe0\\xb0\\xbf\\xe0\\xb0\\xa4\\xe0\\xb0\\xbe'</td>\n",
+       "      <td>311</td>\n",
+       "      <td><a href='https://te.wikipedia.org/wiki/b'\\xe0\\xb0\\xad\\xe0\\xb0\\xbe\\xe0\\xb0\\xb0\\xe0\\xb0\\xa4\\xe0\\xb1\\x80\\xe0\\xb0\\xaf_\\xe0\\xb0\\xb0\\xe0\\xb1\\x88\\xe0\\xb0\\xb2\\xe0\\xb1\\x8d\\xe0\\xb0\\xb5\\xe0\\xb1\\x87_\\xe0\\xb0\\xb8\\xe0\\xb1\\x8d\\xe0\\xb0\\x9f\\xe0\\xb1\\x87\\xe0\\xb0\\xb7\\xe0\\xb0\\xa8\\xe0\\xb1\\x8d\\xe0\\xb0\\xb2_\\xe0\\xb0\\x9c\\xe0\\xb0\\xbe\\xe0\\xb0\\xac\\xe0\\xb0\\xbf\\xe0\\xb0\\xa4\\xe0\\xb0\\xbe'' target='_blank'>View</a></td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <td>2017-06-08</td>\n",
+       "      <td>b'\\xe0\\xb0\\xad\\xe0\\xb0\\xbe\\xe0\\xb0\\xb0\\xe0\\xb0\\xa4\\xe0\\xb1\\x80\\xe0\\xb0\\xaf_\\xe0\\xb0\\x9a\\xe0\\xb0\\x95\\xe0\\xb1\\x8d\\xe0\\xb0\\xb0\\xe0\\xb0\\xb5\\xe0\\xb0\\xb0\\xe0\\xb1\\x8d\\xe0\\xb0\\xa4\\xe0\\xb1\\x81\\xe0\\xb0\\xb2_\\xe0\\xb0\\x9c\\xe0\\xb0\\xbe\\xe0\\xb0\\xac\\xe0\\xb0\\xbf\\xe0\\xb0\\xa4\\xe0\\xb0\\xbe'</td>\n",
+       "      <td>309</td>\n",
+       "      <td><a href='https://te.wikipedia.org/wiki/b'\\xe0\\xb0\\xad\\xe0\\xb0\\xbe\\xe0\\xb0\\xb0\\xe0\\xb0\\xa4\\xe0\\xb1\\x80\\xe0\\xb0\\xaf_\\xe0\\xb0\\x9a\\xe0\\xb0\\x95\\xe0\\xb1\\x8d\\xe0\\xb0\\xb0\\xe0\\xb0\\xb5\\xe0\\xb0\\xb0\\xe0\\xb1\\x8d\\xe0\\xb0\\xa4\\xe0\\xb1\\x81\\xe0\\xb0\\xb2_\\xe0\\xb0\\x9c\\xe0\\xb0\\xbe\\xe0\\xb0\\xac\\xe0\\xb0\\xbf\\xe0\\xb0\\xa4\\xe0\\xb0\\xbe'' target='_blank'>View</a></td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <td>2015-10-18</td>\n",
+       "      <td>b'\\xe0\\xb0\\xad\\xe0\\xb0\\xbe\\xe0\\xb0\\xb0\\xe0\\xb0\\xa4\\xe0\\xb0\\xa6\\xe0\\xb1\\x87\\xe0\\xb0\\xb6_\\xe0\\xb0\\xaa\\xe0\\xb1\\x8d\\xe0\\xb0\\xb0\\xe0\\xb0\\xaf\\xe0\\xb0\\xbe\\xe0\\xb0\\xa3\\xe0\\xb1\\x80\\xe0\\xb0\\x95\\xe0\\xb1\\x81\\xe0\\xb0\\xb2_\\xe0\\xb0\\xb0\\xe0\\xb1\\x88\\xe0\\xb0\\xb3\\xe0\\xb1\\x8d\\xe0\\xb0\\xb2\\xe0\\xb1\\x81_\\xe0\\xb0\\x9c\\xe0\\xb0\\xbe\\xe0\\xb0\\xac\\xe0\\xb0\\xbf\\xe0\\xb0\\xa4\\xe0\\xb0\\xbe'</td>\n",
+       "      <td>307</td>\n",
+       "      <td><a href='https://te.wikipedia.org/wiki/b'\\xe0\\xb0\\xad\\xe0\\xb0\\xbe\\xe0\\xb0\\xb0\\xe0\\xb0\\xa4\\xe0\\xb0\\xa6\\xe0\\xb1\\x87\\xe0\\xb0\\xb6_\\xe0\\xb0\\xaa\\xe0\\xb1\\x8d\\xe0\\xb0\\xb0\\xe0\\xb0\\xaf\\xe0\\xb0\\xbe\\xe0\\xb0\\xa3\\xe0\\xb1\\x80\\xe0\\xb0\\x95\\xe0\\xb1\\x81\\xe0\\xb0\\xb2_\\xe0\\xb0\\xb0\\xe0\\xb1\\x88\\xe0\\xb0\\xb3\\xe0\\xb1\\x8d\\xe0\\xb0\\xb2\\xe0\\xb1\\x81_\\xe0\\xb0\\x9c\\xe0\\xb0\\xbe\\xe0\\xb0\\xac\\xe0\\xb0\\xbf\\xe0\\xb0\\xa4\\xe0\\xb0\\xbe'' target='_blank'>View</a></td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <td>2015-10-21</td>\n",
+       "      <td>b'\\xe0\\xb0\\xad\\xe0\\xb0\\xbe\\xe0\\xb0\\xb0\\xe0\\xb0\\xa4\\xe0\\xb0\\xa6\\xe0\\xb1\\x87\\xe0\\xb0\\xb6_\\xe0\\xb0\\xaa\\xe0\\xb1\\x8d\\xe0\\xb0\\xb0\\xe0\\xb0\\xaf\\xe0\\xb0\\xbe\\xe0\\xb0\\xa3\\xe0\\xb1\\x80\\xe0\\xb0\\x95\\xe0\\xb1\\x81\\xe0\\xb0\\xb2_\\xe0\\xb0\\xb0\\xe0\\xb1\\x88\\xe0\\xb0\\xb3\\xe0\\xb1\\x8d\\xe0\\xb0\\xb2\\xe0\\xb1\\x81_\\xe0\\xb0\\x9c\\xe0\\xb0\\xbe\\xe0\\xb0\\xac\\xe0\\xb0\\xbf\\xe0\\xb0\\xa4\\xe0\\xb0\\xbe'</td>\n",
+       "      <td>297</td>\n",
+       "      <td><a href='https://te.wikipedia.org/wiki/b'\\xe0\\xb0\\xad\\xe0\\xb0\\xbe\\xe0\\xb0\\xb0\\xe0\\xb0\\xa4\\xe0\\xb0\\xa6\\xe0\\xb1\\x87\\xe0\\xb0\\xb6_\\xe0\\xb0\\xaa\\xe0\\xb1\\x8d\\xe0\\xb0\\xb0\\xe0\\xb0\\xaf\\xe0\\xb0\\xbe\\xe0\\xb0\\xa3\\xe0\\xb1\\x80\\xe0\\xb0\\x95\\xe0\\xb1\\x81\\xe0\\xb0\\xb2_\\xe0\\xb0\\xb0\\xe0\\xb1\\x88\\xe0\\xb0\\xb3\\xe0\\xb1\\x8d\\xe0\\xb0\\xb2\\xe0\\xb1\\x81_\\xe0\\xb0\\x9c\\xe0\\xb0\\xbe\\xe0\\xb0\\xac\\xe0\\xb0\\xbf\\xe0\\xb0\\xa4\\xe0\\xb0\\xbe'' target='_blank'>View</a></td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <td>2015-10-16</td>\n",
+       "      <td>b'\\xe0\\xb0\\xad\\xe0\\xb0\\xbe\\xe0\\xb0\\xb0\\xe0\\xb0\\xa4\\xe0\\xb0\\xa6\\xe0\\xb1\\x87\\xe0\\xb0\\xb6_\\xe0\\xb0\\xaa\\xe0\\xb1\\x8d\\xe0\\xb0\\xb0\\xe0\\xb0\\xaf\\xe0\\xb0\\xbe\\xe0\\xb0\\xa3\\xe0\\xb1\\x80\\xe0\\xb0\\x95\\xe0\\xb1\\x81\\xe0\\xb0\\xb2_\\xe0\\xb0\\xb0\\xe0\\xb1\\x88\\xe0\\xb0\\xb3\\xe0\\xb1\\x8d\\xe0\\xb0\\xb2\\xe0\\xb1\\x81_\\xe0\\xb0\\x9c\\xe0\\xb0\\xbe\\xe0\\xb0\\xac\\xe0\\xb0\\xbf\\xe0\\xb0\\xa4\\xe0\\xb0\\xbe'</td>\n",
+       "      <td>292</td>\n",
+       "      <td><a href='https://te.wikipedia.org/wiki/b'\\xe0\\xb0\\xad\\xe0\\xb0\\xbe\\xe0\\xb0\\xb0\\xe0\\xb0\\xa4\\xe0\\xb0\\xa6\\xe0\\xb1\\x87\\xe0\\xb0\\xb6_\\xe0\\xb0\\xaa\\xe0\\xb1\\x8d\\xe0\\xb0\\xb0\\xe0\\xb0\\xaf\\xe0\\xb0\\xbe\\xe0\\xb0\\xa3\\xe0\\xb1\\x80\\xe0\\xb0\\x95\\xe0\\xb1\\x81\\xe0\\xb0\\xb2_\\xe0\\xb0\\xb0\\xe0\\xb1\\x88\\xe0\\xb0\\xb3\\xe0\\xb1\\x8d\\xe0\\xb0\\xb2\\xe0\\xb1\\x81_\\xe0\\xb0\\x9c\\xe0\\xb0\\xbe\\xe0\\xb0\\xac\\xe0\\xb0\\xbf\\xe0\\xb0\\xa4\\xe0\\xb0\\xbe'' target='_blank'>View</a></td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <td>2019-01-19</td>\n",
+       "      <td>b'\\xe0\\xb0\\xad\\xe0\\xb0\\xbe\\xe0\\xb0\\xb0\\xe0\\xb0\\xa4\\xe0\\xb1\\x80\\xe0\\xb0\\xaf_\\xe0\\xb0\\xb0\\xe0\\xb1\\x88\\xe0\\xb0\\xb2\\xe0\\xb1\\x8d\\xe0\\xb0\\xb5\\xe0\\xb1\\x87_\\xe0\\xb0\\xb8\\xe0\\xb1\\x8d\\xe0\\xb0\\x9f\\xe0\\xb1\\x87\\xe0\\xb0\\xb7\\xe0\\xb0\\xa8\\xe0\\xb1\\x8d\\xe0\\xb0\\xb2_\\xe0\\xb0\\x9c\\xe0\\xb0\\xbe\\xe0\\xb0\\xac\\xe0\\xb0\\xbf\\xe0\\xb0\\xa4\\xe0\\xb0\\xbe'</td>\n",
+       "      <td>280</td>\n",
+       "      <td><a href='https://te.wikipedia.org/wiki/b'\\xe0\\xb0\\xad\\xe0\\xb0\\xbe\\xe0\\xb0\\xb0\\xe0\\xb0\\xa4\\xe0\\xb1\\x80\\xe0\\xb0\\xaf_\\xe0\\xb0\\xb0\\xe0\\xb1\\x88\\xe0\\xb0\\xb2\\xe0\\xb1\\x8d\\xe0\\xb0\\xb5\\xe0\\xb1\\x87_\\xe0\\xb0\\xb8\\xe0\\xb1\\x8d\\xe0\\xb0\\x9f\\xe0\\xb1\\x87\\xe0\\xb0\\xb7\\xe0\\xb0\\xa8\\xe0\\xb1\\x8d\\xe0\\xb0\\xb2_\\xe0\\xb0\\x9c\\xe0\\xb0\\xbe\\xe0\\xb0\\xac\\xe0\\xb0\\xbf\\xe0\\xb0\\xa4\\xe0\\xb0\\xbe'' target='_blank'>View</a></td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <td>2018-06-13</td>\n",
+       "      <td>b'\\xe0\\xb0\\xad\\xe0\\xb0\\xbe\\xe0\\xb0\\xb0\\xe0\\xb0\\xa4\\xe0\\xb1\\x80\\xe0\\xb0\\xaf_\\xe0\\xb0\\xb0\\xe0\\xb1\\x88\\xe0\\xb0\\xb2\\xe0\\xb1\\x8d\\xe0\\xb0\\xb5\\xe0\\xb1\\x87_\\xe0\\xb0\\xb8\\xe0\\xb1\\x8d\\xe0\\xb0\\x9f\\xe0\\xb1\\x87\\xe0\\xb0\\xb7\\xe0\\xb0\\xa8\\xe0\\xb1\\x8d\\xe0\\xb0\\xb2_\\xe0\\xb0\\x9c\\xe0\\xb0\\xbe\\xe0\\xb0\\xac\\xe0\\xb0\\xbf\\xe0\\xb0\\xa4\\xe0\\xb0\\xbe'</td>\n",
+       "      <td>276</td>\n",
+       "      <td><a href='https://te.wikipedia.org/wiki/b'\\xe0\\xb0\\xad\\xe0\\xb0\\xbe\\xe0\\xb0\\xb0\\xe0\\xb0\\xa4\\xe0\\xb1\\x80\\xe0\\xb0\\xaf_\\xe0\\xb0\\xb0\\xe0\\xb1\\x88\\xe0\\xb0\\xb2\\xe0\\xb1\\x8d\\xe0\\xb0\\xb5\\xe0\\xb1\\x87_\\xe0\\xb0\\xb8\\xe0\\xb1\\x8d\\xe0\\xb0\\x9f\\xe0\\xb1\\x87\\xe0\\xb0\\xb7\\xe0\\xb0\\xa8\\xe0\\xb1\\x8d\\xe0\\xb0\\xb2_\\xe0\\xb0\\x9c\\xe0\\xb0\\xbe\\xe0\\xb0\\xac\\xe0\\xb0\\xbf\\xe0\\xb0\\xa4\\xe0\\xb0\\xbe'' target='_blank'>View</a></td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <td>2024-12-03</td>\n",
+       "      <td>b'\\xe0\\xb0\\xad\\xe0\\xb0\\x95\\xe0\\xb1\\x8d\\xe0\\xb0\\xa4\\xe0\\xb1\\x8d_\\xe0\\xb0\\xac\\xe0\\xb1\\x81\\xe0\\xb0\\xb2\\xe0\\xb0\\x82\\xe0\\xb0\\xa6\\xe0\\xb1\\x8d_\\xe0\\xb0\\xb7\\xe0\\xb0\\xbe'</td>\n",
+       "      <td>261</td>\n",
+       "      <td><a href='https://te.wikipedia.org/wiki/b'\\xe0\\xb0\\xad\\xe0\\xb0\\x95\\xe0\\xb1\\x8d\\xe0\\xb0\\xa4\\xe0\\xb1\\x8d_\\xe0\\xb0\\xac\\xe0\\xb1\\x81\\xe0\\xb0\\xb2\\xe0\\xb0\\x82\\xe0\\xb0\\xa6\\xe0\\xb1\\x8d_\\xe0\\xb0\\xb7\\xe0\\xb0\\xbe'' target='_blank'>View</a></td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "🔄 Querying hiwiki...\n",
+      "✅ Table for hiwiki\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<h3>HIWIKI – Top 10 Edited Pages</h3>"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th>edit_date</th>\n",
+       "      <th>page_title</th>\n",
+       "      <th>edit_count</th>\n",
+       "      <th>article_link</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <td>2016-07-15</td>\n",
+       "      <td>b'2016_\\xe0\\xa4\\xa8\\xe0\\xa5\\x80\\xe0\\xa4\\xb8_\\xe0\\xa4\\xb9\\xe0\\xa4\\xae\\xe0\\xa4\\xb2\\xe0\\xa4\\xbe'</td>\n",
+       "      <td>377</td>\n",
+       "      <td><a href='https://hi.wikipedia.org/wiki/b'2016_\\xe0\\xa4\\xa8\\xe0\\xa5\\x80\\xe0\\xa4\\xb8_\\xe0\\xa4\\xb9\\xe0\\xa4\\xae\\xe0\\xa4\\xb2\\xe0\\xa4\\xbe'' target='_blank'>View</a></td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <td>2023-05-09</td>\n",
+       "      <td>b'\\xe0\\xa4\\xb8\\xe0\\xa5\\x81\\xe0\\xa4\\x82\\xe0\\xa4\\xa6\\xe0\\xa4\\xb0_\\xe0\\xa4\\xaa\\xe0\\xa4\\xbf\\xe0\\xa4\\x9a\\xe0\\xa4\\xbe\\xe0\\xa4\\x88'</td>\n",
+       "      <td>219</td>\n",
+       "      <td><a href='https://hi.wikipedia.org/wiki/b'\\xe0\\xa4\\xb8\\xe0\\xa5\\x81\\xe0\\xa4\\x82\\xe0\\xa4\\xa6\\xe0\\xa4\\xb0_\\xe0\\xa4\\xaa\\xe0\\xa4\\xbf\\xe0\\xa4\\x9a\\xe0\\xa4\\xbe\\xe0\\xa4\\x88'' target='_blank'>View</a></td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <td>2021-08-30</td>\n",
+       "      <td>b'\\xe0\\xa4\\x86\\xe0\\xa4\\xb2\\xe0\\xa5\\x8d\\xe0\\xa4\\xb9\\xe0\\xa4\\xbe'</td>\n",
+       "      <td>217</td>\n",
+       "      <td><a href='https://hi.wikipedia.org/wiki/b'\\xe0\\xa4\\x86\\xe0\\xa4\\xb2\\xe0\\xa5\\x8d\\xe0\\xa4\\xb9\\xe0\\xa4\\xbe'' target='_blank'>View</a></td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <td>2023-04-19</td>\n",
+       "      <td>b'\\xe0\\xa4\\xa1\\xe0\\xa5\\x80\\xe0\\xa4\\xa1\\xe0\\xa5\\x80_\\xe0\\xa4\\xa8\\xe0\\xa5\\x8d\\xe0\\xa4\\xaf\\xe0\\xa5\\x82\\xe0\\xa4\\x9c\\xe0\\xa4\\xbc'</td>\n",
+       "      <td>216</td>\n",
+       "      <td><a href='https://hi.wikipedia.org/wiki/b'\\xe0\\xa4\\xa1\\xe0\\xa5\\x80\\xe0\\xa4\\xa1\\xe0\\xa5\\x80_\\xe0\\xa4\\xa8\\xe0\\xa5\\x8d\\xe0\\xa4\\xaf\\xe0\\xa5\\x82\\xe0\\xa4\\x9c\\xe0\\xa4\\xbc'' target='_blank'>View</a></td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <td>2010-06-17</td>\n",
+       "      <td>b'\\xe0\\xa4\\xb0\\xe0\\xa4\\xbe\\xe0\\xa4\\xb6\\xe0\\xa4\\xbf_\\xe0\\xa4\\x94\\xe0\\xa4\\xb0_\\xe0\\xa4\\xb0\\xe0\\xa4\\xa4\\xe0\\xa5\\x8d\\xe0\\xa4\\xa8'</td>\n",
+       "      <td>204</td>\n",
+       "      <td><a href='https://hi.wikipedia.org/wiki/b'\\xe0\\xa4\\xb0\\xe0\\xa4\\xbe\\xe0\\xa4\\xb6\\xe0\\xa4\\xbf_\\xe0\\xa4\\x94\\xe0\\xa4\\xb0_\\xe0\\xa4\\xb0\\xe0\\xa4\\xa4\\xe0\\xa5\\x8d\\xe0\\xa4\\xa8'' target='_blank'>View</a></td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <td>2021-08-30</td>\n",
+       "      <td>b'\\xe0\\xa4\\x86\\xe0\\xa4\\xb2\\xe0\\xa5\\x8d\\xe0\\xa4\\xb9-\\xe0\\xa4\\x96\\xe0\\xa4\\xa3\\xe0\\xa5\\x8d\\xe0\\xa4\\xa1'</td>\n",
+       "      <td>198</td>\n",
+       "      <td><a href='https://hi.wikipedia.org/wiki/b'\\xe0\\xa4\\x86\\xe0\\xa4\\xb2\\xe0\\xa5\\x8d\\xe0\\xa4\\xb9-\\xe0\\xa4\\x96\\xe0\\xa4\\xa3\\xe0\\xa5\\x8d\\xe0\\xa4\\xa1'' target='_blank'>View</a></td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <td>2021-08-31</td>\n",
+       "      <td>b'\\xe0\\xa4\\x86\\xe0\\xa4\\xb2\\xe0\\xa5\\x8d\\xe0\\xa4\\xb9-\\xe0\\xa4\\x96\\xe0\\xa4\\xa3\\xe0\\xa5\\x8d\\xe0\\xa4\\xa1'</td>\n",
+       "      <td>195</td>\n",
+       "      <td><a href='https://hi.wikipedia.org/wiki/b'\\xe0\\xa4\\x86\\xe0\\xa4\\xb2\\xe0\\xa5\\x8d\\xe0\\xa4\\xb9-\\xe0\\xa4\\x96\\xe0\\xa4\\xa3\\xe0\\xa5\\x8d\\xe0\\xa4\\xa1'' target='_blank'>View</a></td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <td>2021-08-31</td>\n",
+       "      <td>b'\\xe0\\xa4\\x86\\xe0\\xa4\\xb2\\xe0\\xa5\\x8d\\xe0\\xa4\\xb9\\xe0\\xa4\\xbe'</td>\n",
+       "      <td>191</td>\n",
+       "      <td><a href='https://hi.wikipedia.org/wiki/b'\\xe0\\xa4\\x86\\xe0\\xa4\\xb2\\xe0\\xa5\\x8d\\xe0\\xa4\\xb9\\xe0\\xa4\\xbe'' target='_blank'>View</a></td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <td>2016-07-14</td>\n",
+       "      <td>b'2016_\\xe0\\xa4\\xa8\\xe0\\xa5\\x80\\xe0\\xa4\\xb8_\\xe0\\xa4\\xb9\\xe0\\xa4\\xae\\xe0\\xa4\\xb2\\xe0\\xa4\\xbe'</td>\n",
+       "      <td>189</td>\n",
+       "      <td><a href='https://hi.wikipedia.org/wiki/b'2016_\\xe0\\xa4\\xa8\\xe0\\xa5\\x80\\xe0\\xa4\\xb8_\\xe0\\xa4\\xb9\\xe0\\xa4\\xae\\xe0\\xa4\\xb2\\xe0\\xa4\\xbe'' target='_blank'>View</a></td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <td>2021-08-31</td>\n",
+       "      <td>b'\\xe0\\xa4\\x8a\\xe0\\xa4\\xa6\\xe0\\xa4\\xb2'</td>\n",
+       "      <td>185</td>\n",
+       "      <td><a href='https://hi.wikipedia.org/wiki/b'\\xe0\\xa4\\x8a\\xe0\\xa4\\xa6\\xe0\\xa4\\xb2'' target='_blank'>View</a></td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "🔄 Querying mlwiki...\n",
+      "✅ Table for mlwiki\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<h3>MLWIKI – Top 10 Edited Pages</h3>"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th>edit_date</th>\n",
+       "      <th>page_title</th>\n",
+       "      <th>edit_count</th>\n",
+       "      <th>article_link</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <td>2016-05-19</td>\n",
+       "      <td>b'\\xe0\\xb4\\xaa\\xe0\\xb4\\xa4\\xe0\\xb4\\xbf\\xe0\\xb4\\xa8\\xe0\\xb4\\xbe\\xe0\\xb4\\xb2\\xe0\\xb4\\xbe\\xe0\\xb4\\x82_\\xe0\\xb4\\x95\\xe0\\xb5\\x87\\xe0\\xb4\\xb0\\xe0\\xb4\\xb3\\xe0\\xb4\\xa8\\xe0\\xb4\\xbf\\xe0\\xb4\\xaf\\xe0\\xb4\\xae\\xe0\\xb4\\xb8\\xe0\\xb4\\xad'</td>\n",
+       "      <td>179</td>\n",
+       "      <td><a href='https://ml.wikipedia.org/wiki/b'\\xe0\\xb4\\xaa\\xe0\\xb4\\xa4\\xe0\\xb4\\xbf\\xe0\\xb4\\xa8\\xe0\\xb4\\xbe\\xe0\\xb4\\xb2\\xe0\\xb4\\xbe\\xe0\\xb4\\x82_\\xe0\\xb4\\x95\\xe0\\xb5\\x87\\xe0\\xb4\\xb0\\xe0\\xb4\\xb3\\xe0\\xb4\\xa8\\xe0\\xb4\\xbf\\xe0\\xb4\\xaf\\xe0\\xb4\\xae\\xe0\\xb4\\xb8\\xe0\\xb4\\xad'' target='_blank'>View</a></td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <td>2014-06-06</td>\n",
+       "      <td>b'\\xe0\\xb4\\x9a\\xe0\\xb5\\x88\\xe0\\xb4\\xa8\\xe0\\xb4\\xaf\\xe0\\xb5\\x81\\xe0\\xb4\\x9f\\xe0\\xb5\\x86_\\xe0\\xb4\\x9a\\xe0\\xb4\\xb0\\xe0\\xb4\\xbf\\xe0\\xb4\\xa4\\xe0\\xb5\\x8d\\xe0\\xb4\\xb0\\xe0\\xb4\\x82'</td>\n",
+       "      <td>175</td>\n",
+       "      <td><a href='https://ml.wikipedia.org/wiki/b'\\xe0\\xb4\\x9a\\xe0\\xb5\\x88\\xe0\\xb4\\xa8\\xe0\\xb4\\xaf\\xe0\\xb5\\x81\\xe0\\xb4\\x9f\\xe0\\xb5\\x86_\\xe0\\xb4\\x9a\\xe0\\xb4\\xb0\\xe0\\xb4\\xbf\\xe0\\xb4\\xa4\\xe0\\xb5\\x8d\\xe0\\xb4\\xb0\\xe0\\xb4\\x82'' target='_blank'>View</a></td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <td>2016-09-02</td>\n",
+       "      <td>b'\\xe0\\xb4\\xac\\xe0\\xb5\\x8d\\xe0\\xb4\\xb2\\xe0\\xb4\\xbe\\xe0\\xb4\\x95\\xe0\\xb5\\x8d\\xe0\\xb4\\x95\\xe0\\xb5\\x8d_\\xe0\\xb4\\x9c\\xe0\\xb5\\x82\\xe0\\xb4\\xb2\\xe0\\xb5\\x88'</td>\n",
+       "      <td>151</td>\n",
+       "      <td><a href='https://ml.wikipedia.org/wiki/b'\\xe0\\xb4\\xac\\xe0\\xb5\\x8d\\xe0\\xb4\\xb2\\xe0\\xb4\\xbe\\xe0\\xb4\\x95\\xe0\\xb5\\x8d\\xe0\\xb4\\x95\\xe0\\xb5\\x8d_\\xe0\\xb4\\x9c\\xe0\\xb5\\x82\\xe0\\xb4\\xb2\\xe0\\xb5\\x88'' target='_blank'>View</a></td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <td>2011-08-06</td>\n",
+       "      <td>b'\\xe0\\xb4\\x8e\\xe0\\xb4\\xae\\xe0\\xb4\\xbf\\xe0\\xb4\\xb2\\xe0\\xb4\\xbf_\\xe0\\xb4\\xa1\\xe0\\xb4\\xbf\\xe0\\xb4\\x95\\xe0\\xb5\\x8d\\xe0\\xb4\\x95\\xe0\\xb4\\xbf\\xe0\\xb5\\xbb\\xe0\\xb4\\xb8\\xe0\\xb5\\xba'</td>\n",
+       "      <td>150</td>\n",
+       "      <td><a href='https://ml.wikipedia.org/wiki/b'\\xe0\\xb4\\x8e\\xe0\\xb4\\xae\\xe0\\xb4\\xbf\\xe0\\xb4\\xb2\\xe0\\xb4\\xbf_\\xe0\\xb4\\xa1\\xe0\\xb4\\xbf\\xe0\\xb4\\x95\\xe0\\xb5\\x8d\\xe0\\xb4\\x95\\xe0\\xb4\\xbf\\xe0\\xb5\\xbb\\xe0\\xb4\\xb8\\xe0\\xb5\\xba'' target='_blank'>View</a></td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <td>2017-01-25</td>\n",
+       "      <td>b'\\xe0\\xb4\\x95\\xe0\\xb5\\x87\\xe0\\xb4\\xb0\\xe0\\xb4\\xb3\\xe0\\xb4\\xa4\\xe0\\xb5\\x8d\\xe0\\xb4\\xa4\\xe0\\xb4\\xbf\\xe0\\xb4\\xb2\\xe0\\xb5\\x86_\\xe0\\xb4\\x9a\\xe0\\xb4\\xbf\\xe0\\xb4\\xa4\\xe0\\xb5\\x8d\\xe0\\xb4\\xb0\\xe0\\xb4\\xb6\\xe0\\xb4\\xb2\\xe0\\xb4\\xad\\xe0\\xb4\\x99\\xe0\\xb5\\x8d\\xe0\\xb4\\x99\\xe0\\xb5\\xbe'</td>\n",
+       "      <td>137</td>\n",
+       "      <td><a href='https://ml.wikipedia.org/wiki/b'\\xe0\\xb4\\x95\\xe0\\xb5\\x87\\xe0\\xb4\\xb0\\xe0\\xb4\\xb3\\xe0\\xb4\\xa4\\xe0\\xb5\\x8d\\xe0\\xb4\\xa4\\xe0\\xb4\\xbf\\xe0\\xb4\\xb2\\xe0\\xb5\\x86_\\xe0\\xb4\\x9a\\xe0\\xb4\\xbf\\xe0\\xb4\\xa4\\xe0\\xb5\\x8d\\xe0\\xb4\\xb0\\xe0\\xb4\\xb6\\xe0\\xb4\\xb2\\xe0\\xb4\\xad\\xe0\\xb4\\x99\\xe0\\xb5\\x8d\\xe0\\xb4\\x99\\xe0\\xb5\\xbe'' target='_blank'>View</a></td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <td>2015-09-24</td>\n",
+       "      <td>b'\\xe0\\xb4\\x85\\xe0\\xb4\\x99\\xe0\\xb5\\x8d\\xe0\\xb4\\x95\\xe0\\xb4\\xae\\xe0\\xb4\\xbe\\xe0\\xb4\\xb2\\xe0\\xb4\\xbf\\xe0\\xb4\\xaf\\xe0\\xb4\\xbf\\xe0\\xb4\\xb2\\xe0\\xb5\\x86_\\xe0\\xb4\\xae\\xe0\\xb4\\xbe\\xe0\\xb5\\xbc_\\xe0\\xb4\\x85\\xe0\\xb4\\xac\\xe0\\xb5\\x8d\\xe0\\xb4\\xb0\\xe0\\xb4\\xbe\\xe0\\xb4\\xb9\\xe0\\xb4\\x82'</td>\n",
+       "      <td>134</td>\n",
+       "      <td><a href='https://ml.wikipedia.org/wiki/b'\\xe0\\xb4\\x85\\xe0\\xb4\\x99\\xe0\\xb5\\x8d\\xe0\\xb4\\x95\\xe0\\xb4\\xae\\xe0\\xb4\\xbe\\xe0\\xb4\\xb2\\xe0\\xb4\\xbf\\xe0\\xb4\\xaf\\xe0\\xb4\\xbf\\xe0\\xb4\\xb2\\xe0\\xb5\\x86_\\xe0\\xb4\\xae\\xe0\\xb4\\xbe\\xe0\\xb5\\xbc_\\xe0\\xb4\\x85\\xe0\\xb4\\xac\\xe0\\xb5\\x8d\\xe0\\xb4\\xb0\\xe0\\xb4\\xbe\\xe0\\xb4\\xb9\\xe0\\xb4\\x82'' target='_blank'>View</a></td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <td>2012-12-26</td>\n",
+       "      <td>b'\\xe0\\xb4\\xb8\\xe0\\xb5\\x97\\xe0\\xb4\\xa6\\xe0\\xb4\\xbf_\\xe0\\xb4\\x85\\xe0\\xb4\\xb1\\xe0\\xb5\\x87\\xe0\\xb4\\xac\\xe0\\xb5\\x8d\\xe0\\xb4\\xaf'</td>\n",
+       "      <td>134</td>\n",
+       "      <td><a href='https://ml.wikipedia.org/wiki/b'\\xe0\\xb4\\xb8\\xe0\\xb5\\x97\\xe0\\xb4\\xa6\\xe0\\xb4\\xbf_\\xe0\\xb4\\x85\\xe0\\xb4\\xb1\\xe0\\xb5\\x87\\xe0\\xb4\\xac\\xe0\\xb5\\x8d\\xe0\\xb4\\xaf'' target='_blank'>View</a></td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <td>2016-12-20</td>\n",
+       "      <td>b'\\xe0\\xb4\\x95\\xe0\\xb5\\x87\\xe0\\xb4\\xb0\\xe0\\xb4\\xb3\\xe0\\xb4\\xa4\\xe0\\xb5\\x8d\\xe0\\xb4\\xa4\\xe0\\xb4\\xbf\\xe0\\xb4\\xb2\\xe0\\xb5\\x86_\\xe0\\xb4\\xa4\\xe0\\xb5\\x81\\xe0\\xb4\\xae\\xe0\\xb5\\x8d\\xe0\\xb4\\xaa\\xe0\\xb4\\xbf\\xe0\\xb4\\x95\\xe0\\xb5\\xbe'</td>\n",
+       "      <td>133</td>\n",
+       "      <td><a href='https://ml.wikipedia.org/wiki/b'\\xe0\\xb4\\x95\\xe0\\xb5\\x87\\xe0\\xb4\\xb0\\xe0\\xb4\\xb3\\xe0\\xb4\\xa4\\xe0\\xb5\\x8d\\xe0\\xb4\\xa4\\xe0\\xb4\\xbf\\xe0\\xb4\\xb2\\xe0\\xb5\\x86_\\xe0\\xb4\\xa4\\xe0\\xb5\\x81\\xe0\\xb4\\xae\\xe0\\xb5\\x8d\\xe0\\xb4\\xaa\\xe0\\xb4\\xbf\\xe0\\xb4\\x95\\xe0\\xb5\\xbe'' target='_blank'>View</a></td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <td>2012-10-03</td>\n",
+       "      <td>b'\\xe0\\xb4\\xb8\\xe0\\xb5\\x97\\xe0\\xb4\\xa6\\xe0\\xb4\\xbf_\\xe0\\xb4\\x85\\xe0\\xb4\\xb1\\xe0\\xb5\\x87\\xe0\\xb4\\xac\\xe0\\xb5\\x8d\\xe0\\xb4\\xaf'</td>\n",
+       "      <td>129</td>\n",
+       "      <td><a href='https://ml.wikipedia.org/wiki/b'\\xe0\\xb4\\xb8\\xe0\\xb5\\x97\\xe0\\xb4\\xa6\\xe0\\xb4\\xbf_\\xe0\\xb4\\x85\\xe0\\xb4\\xb1\\xe0\\xb5\\x87\\xe0\\xb4\\xac\\xe0\\xb5\\x8d\\xe0\\xb4\\xaf'' target='_blank'>View</a></td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <td>2012-12-25</td>\n",
+       "      <td>b'\\xe0\\xb4\\xb8\\xe0\\xb5\\x97\\xe0\\xb4\\xa6\\xe0\\xb4\\xbf_\\xe0\\xb4\\x85\\xe0\\xb4\\xb1\\xe0\\xb5\\x87\\xe0\\xb4\\xac\\xe0\\xb5\\x8d\\xe0\\xb4\\xaf'</td>\n",
+       "      <td>128</td>\n",
+       "      <td><a href='https://ml.wikipedia.org/wiki/b'\\xe0\\xb4\\xb8\\xe0\\xb5\\x97\\xe0\\xb4\\xa6\\xe0\\xb4\\xbf_\\xe0\\xb4\\x85\\xe0\\xb4\\xb1\\xe0\\xb5\\x87\\xe0\\xb4\\xac\\xe0\\xb5\\x8d\\xe0\\xb4\\xaf'' target='_blank'>View</a></td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "\n",
+    "# Step 4: Run and display tables for each wiki\n",
+    "for wiki in wikis:\n",
+    "    print(f\"🔄 Querying {wiki}...\")\n",
+    "    output = connect_and_query(wiki, query)\n",
+    "    if output:\n",
+    "        df = pd.DataFrame(output, columns=['edit_date', 'page_id', 'page_title', 'edit_count'])\n",
+    "        df['page_url'] = df.apply(\n",
+    "            lambda row: f\"https://{wiki.replace('wiki','')}.wikipedia.org/wiki/{str(row['page_title']).replace(' ', '_')}\",\n",
+    "            axis=1\n",
+    "        )\n",
+    "        df['article_link'] = df.apply(\n",
+    "            lambda row: f\"<a href='{row['page_url']}' target='_blank'>View</a>\",\n",
+    "            axis=1\n",
+    "        )\n",
+    "\n",
+    "        print(f\"✅ Table for {wiki}\")\n",
+    "        display(HTML(f\"<h3>{wiki.upper()} – Top 10 Edited Pages</h3>\"))\n",
+    "        display(HTML(df[['edit_date', 'page_title', 'edit_count', 'article_link']].to_html(escape=False, index=False)))\n",
+    "    else:\n",
+    "        print(f\"⚠️ No data from {wiki}\")\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "7979aa93-ac6e-4875-b796-0a615936f7df",
+   "metadata": {},
+   "source": [
+    "**\"- VE vs. wikitext:- Content Translation ,Section Translation\"**"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 45,
+   "id": "9c4811f1-b4f4-4021-9dba-454d002ec55b",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "\n",
+    "# SQL: Edit counts by tool\n",
+    "query = \"\"\"\n",
+    "SELECT \n",
+    "    ctd.ctd_name AS edit_tool,\n",
+    "    COUNT(*) AS edit_count\n",
+    "FROM change_tag ct\n",
+    "JOIN change_tag_def ctd \n",
+    "    ON ct.ct_tag_id = ctd.ctd_id  \n",
+    "JOIN revision r \n",
+    "    ON ct.ct_rev_id = r.rev_id\n",
+    "WHERE ctd.ctd_name IN ('visualeditor', 'wikitext', 'contenttranslation', 'sectiontranslation')\n",
+    "GROUP BY ctd.ctd_name\n",
+    "ORDER BY edit_count DESC;\n",
+    "\"\"\"\n",
+    "wikis = ['tewiki', 'hiwiki', 'mlwiki']\n",
+    "all_data = []\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 47,
+   "id": "307385df-6747-4bb4-b11e-d2e90ae2554c",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "🔄 Querying tewiki...\n",
+      "🔄 Querying hiwiki...\n",
+      "🔄 Querying mlwiki...\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 800x500 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 800x500 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 800x500 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "for wiki in wikis:\n",
+    "    print(f\"🔄 Querying {wiki}...\")\n",
+    "    output = connect_and_query(wiki, query)\n",
+    "    if output:\n",
+    "        df = pd.DataFrame(output, columns=['edit_tool', 'edit_count'])\n",
+    "        df['wiki'] = wiki\n",
+    "        all_data.append(df)\n",
+    "    else:\n",
+    "        print(f\"⚠️ No data from {wiki}\")\n",
+    "\n",
+    "# Combine all wiki data\n",
+    "if all_data:\n",
+    "    combined_df = pd.concat(all_data, ignore_index=True)\n",
+    "\n",
+    "    # Plot histogram for each wiki\n",
+    "    for wiki in wikis:\n",
+    "        temp = combined_df[combined_df['wiki'] == wiki]\n",
+    "        plt.figure(figsize=(8, 5))\n",
+    "        plt.bar(temp['edit_tool'], temp['edit_count'], color='skyblue')\n",
+    "        plt.title(f'Histogram: Edit Tool Usage - {wiki}')\n",
+    "        plt.xlabel('Edit Tool')\n",
+    "        plt.ylabel('Edit Count')\n",
+    "        plt.xticks(rotation=30)\n",
+    "        plt.grid(axis='y', linestyle='--', alpha=0.7)\n",
+    "        plt.tight_layout()\n",
+    "        plt.show()\n",
+    "else:\n",
+    "    print(\"❌ No data available to plot.\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "b340406a-117e-4700-b453-0985cff65349",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "748770b6-3a6e-4958-b3e8-80b6dfeb79be",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.12.3"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}

From f26d1406bfe853d5bd0094425d25bc719f7dec44 Mon Sep 17 00:00:00 2001
From: Mohan1503 <bvmr2003@gmail.com>
Date: Tue, 5 Aug 2025 09:34:42 +0530
Subject: [PATCH 2/3] Delete notebooks/notebook-mohan.ipynb

---
 notebooks/notebook-mohan.ipynb | 799 ---------------------------------
 1 file changed, 799 deletions(-)
 delete mode 100644 notebooks/notebook-mohan.ipynb

diff --git a/notebooks/notebook-mohan.ipynb b/notebooks/notebook-mohan.ipynb
deleted file mode 100644
index d71938c..0000000
--- a/notebooks/notebook-mohan.ipynb
+++ /dev/null
@@ -1,799 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "code",
-   "execution_count": 31,
-   "id": "2990c8b4-2011-405c-98f5-b8b27c784257",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "import pandas as pd\n",
-    "import pymysql\n",
-    "import matplotlib.pyplot as plt\n",
-    "import numpy as np\n",
-    "import warnings\n",
-    "import requests"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 32,
-   "id": "f6fff011-f175-4cf9-b6ad-13fad1e81ce6",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "warnings.filterwarnings('ignore')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 33,
-   "id": "b07b16ae-883f-411b-8b3b-0355193608aa",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# function to connect to wiki_dbs and query\n",
-    "def connect_and_query(wiki_name, query, cnf_path = \"/home/paws/.my.cnf\"):\n",
-    "    \n",
-    "    conn = pymysql.connect(host = wiki_name + '.analytics.db.svc.wikimedia.cloud',\n",
-    "                           read_default_file = cnf_path,\n",
-    "                           database = wiki_name + '_p')\n",
-    "    \n",
-    "    with conn.cursor() as cur:\n",
-    "        cur.execute(query)\n",
-    "        data = cur.fetchall()\n",
-    "    \n",
-    "    conn.close()\n",
-    "    return data"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 34,
-   "id": "751f83e6-9034-4058-a3fe-66065360084c",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "wikis = ['tewiki', 'hiwiki', 'mlwiki']\n",
-    "all_dfs = []"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "84da38ec-b913-4182-aa19-5f3e5eb7b339",
-   "metadata": {},
-   "source": [
-    "**Proportion of new users activated (last 30 days)**"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 31,
-   "id": "25aa7329-2424-4c54-848f-0f7d55191874",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "query_url = \"https://raw.githubusercontent.com/Mohan1503/community-insights-dashboard-tooling/main/Proportion of new users activated (last 30 days).sql\"\n",
-    "query1 = requests.get(query_url).text"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "id": "6e7b405c-356a-4b16-9bbf-b18c7f9425f2",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "🔄 Querying tewiki...\n",
-      "🔄 Querying mlwiki...\n",
-      "📊 Activation Table:\n"
-     ]
-    },
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>wiki</th>\n",
-       "      <th>total_new_users</th>\n",
-       "      <th>new_users_with_1_edit</th>\n",
-       "      <th>new_users_with_5_edits</th>\n",
-       "      <th>activation_rate_1_edit_percent</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>tewiki</td>\n",
-       "      <td>396</td>\n",
-       "      <td>28</td>\n",
-       "      <td>4</td>\n",
-       "      <td>7.07</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>mlwiki</td>\n",
-       "      <td>588</td>\n",
-       "      <td>67</td>\n",
-       "      <td>9</td>\n",
-       "      <td>11.39</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "     wiki  total_new_users new_users_with_1_edit new_users_with_5_edits  \\\n",
-       "0  tewiki              396                    28                      4   \n",
-       "1  mlwiki              588                    67                      9   \n",
-       "\n",
-       "  activation_rate_1_edit_percent  \n",
-       "0                           7.07  \n",
-       "1                          11.39  "
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 800x500 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "import pandas as pd\n",
-    "import pymysql\n",
-    "import matplotlib.pyplot as plt\n",
-    "import warnings\n",
-    "warnings.filterwarnings(\"ignore\")\n",
-    "\n",
-    "# Function to connect and run SQL query\n",
-    "def connect_and_query(wiki_name, query, cnf_path=\"/home/paws/.my.cnf\"):\n",
-    "    try:\n",
-    "        conn = pymysql.connect(\n",
-    "            host=f\"{wiki_name}.analytics.db.svc.wikimedia.cloud\",\n",
-    "            read_default_file=cnf_path,\n",
-    "            database=f\"{wiki_name}_p\"\n",
-    "        )\n",
-    "        with conn.cursor() as cur:\n",
-    "            cur.execute(query)\n",
-    "            data = cur.fetchall()\n",
-    "        conn.close()\n",
-    "        return data\n",
-    "    except Exception as e:\n",
-    "        print(f\"❌ Error querying {wiki_name}: {e}\")\n",
-    "        return []\n",
-    "\n",
-    "# Your query: overall activation metrics for last 30 days\n",
-    "query = \"\"\"\n",
-    "WITH new_user_edit_counts AS (\n",
-    "    SELECT \n",
-    "        u.user_id,\n",
-    "        u.user_registration,\n",
-    "        COALESCE(COUNT(r.rev_id), 0) AS edit_count\n",
-    "    FROM user u\n",
-    "    LEFT JOIN actor a ON u.user_id = a.actor_user\n",
-    "    LEFT JOIN revision r ON a.actor_id = r.rev_actor\n",
-    "    WHERE u.user_registration >= NOW() - INTERVAL 30 DAY\n",
-    "    GROUP BY u.user_id, u.user_registration\n",
-    ")\n",
-    "SELECT \n",
-    "    COUNT(*) AS total_new_users,\n",
-    "    SUM(CASE WHEN edit_count >= 1 THEN 1 ELSE 0 END) AS new_users_with_1_edit,\n",
-    "    SUM(CASE WHEN edit_count >= 5 THEN 1 ELSE 0 END) AS new_users_with_5_edits,\n",
-    "    ROUND(\n",
-    "        (SUM(CASE WHEN edit_count >= 1 THEN 1 ELSE 0 END) * 100.0) / COUNT(*), \n",
-    "        2\n",
-    "    ) AS activation_rate_1_edit_percent\n",
-    "FROM new_user_edit_counts;\n",
-    "\"\"\"\n",
-    "\n",
-    "# Wikis to analyze\n",
-    "wikis = ['tewiki',  'mlwiki']\n",
-    "results = []\n",
-    "\n",
-    "# Run query for each wiki\n",
-    "for wiki in wikis:\n",
-    "    print(f\"🔄 Querying {wiki}...\")\n",
-    "    output = connect_and_query(wiki, query)\n",
-    "    if output:\n",
-    "        row = list(output[0])\n",
-    "        row.insert(0, wiki)  # add wiki name\n",
-    "        results.append(row)\n",
-    "    else:\n",
-    "        print(f\"⚠️ No data from {wiki}\")\n",
-    "\n",
-    "# Convert to DataFrame\n",
-    "if results:\n",
-    "    df = pd.DataFrame(results, columns=[\n",
-    "        'wiki',\n",
-    "        'total_new_users',\n",
-    "        'new_users_with_1_edit',\n",
-    "        'new_users_with_5_edits',\n",
-    "        'activation_rate_1_edit_percent'\n",
-    "    ])\n",
-    "    print(\"📊 Activation Table:\")\n",
-    "    display(df)\n",
-    "\n",
-    "    # Plot bar chart of activation rate\n",
-    "    plt.figure(figsize=(8, 5))\n",
-    "    plt.bar(df['wiki'], df['activation_rate_1_edit_percent'], color='mediumseagreen')\n",
-    "    plt.title('Activation Rate (1+ Edits) in Last 30 Days')\n",
-    "    plt.xlabel('Wiki')\n",
-    "    plt.ylabel('Activation Rate (%)')\n",
-    "    plt.ylim(0, 100)\n",
-    "    plt.grid(axis='y', linestyle='--', alpha=0.7)\n",
-    "    plt.tight_layout()\n",
-    "    plt.show()\n",
-    "else:\n",
-    "    print(\"❌ No data to show.\")\n"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "77e073a7-003c-4098-85ca-17fe1cdce5a0",
-   "metadata": {},
-   "source": [
-    "**top edited content pages for the selected time range**"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 37,
-   "id": "3268bcd5-7ab1-4bfa-a8c1-63994f7cc42c",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "query = \"\"\"\n",
-    "SELECT \n",
-    "    DATE(r.rev_timestamp) AS edit_date,\n",
-    "    p.page_id, \n",
-    "    p.page_title, \n",
-    "    COUNT(DISTINCT r.rev_id) AS edit_count\n",
-    "FROM revision r\n",
-    "JOIN page p ON r.rev_page = p.page_id\n",
-    "WHERE p.page_namespace = 0\n",
-    "GROUP BY DATE(r.rev_timestamp), p.page_id, p.page_title\n",
-    "ORDER BY edit_count DESC, edit_date DESC\n",
-    "LIMIT 10;\n",
-    "\"\"\""
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 38,
-   "id": "2f7f581f-e614-42d2-9268-2d89e56261e1",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "def run_query_for_wikis(wikis, query):\n",
-    "    results = []\n",
-    "    for wiki in wikis:\n",
-    "        print(f\"Querying {wiki}...\")\n",
-    "        output = connect_and_query(wiki, query)\n",
-    "        df = pd.DataFrame(output, columns=['page_title', 'edit_count'])\n",
-    "        df['wiki'] = wiki\n",
-    "        # Add clickable link to article\n",
-    "        df['page_url'] = df.apply(\n",
-    "            lambda row: f\"https://{row['wiki'].replace('wiki','')}.wikipedia.org/wiki/{str(row['page_title']).replace(' ', '_')}\",\n",
-    "            axis=1\n",
-    "        )\n",
-    "        results.append(df)\n",
-    "    return pd.concat(results, ignore_index=True)\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 39,
-   "id": "d1fca6a7-86ca-41e6-83c6-bcb02d65d10b",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "🔄 Querying tewiki...\n",
-      "✅ Table for tewiki\n"
-     ]
-    },
-    {
-     "data": {
-      "text/html": [
-       "<h3>TEWIKI – Top 10 Edited Pages</h3>"
-      ],
-      "text/plain": [
-       "<IPython.core.display.HTML object>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th>edit_date</th>\n",
-       "      <th>page_title</th>\n",
-       "      <th>edit_count</th>\n",
-       "      <th>article_link</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <td>2015-10-20</td>\n",
-       "      <td>b'\\xe0\\xb0\\xad\\xe0\\xb0\\xbe\\xe0\\xb0\\xb0\\xe0\\xb0\\xa4\\xe0\\xb0\\xa6\\xe0\\xb1\\x87\\xe0\\xb0\\xb6_\\xe0\\xb0\\xaa\\xe0\\xb1\\x8d\\xe0\\xb0\\xb0\\xe0\\xb0\\xaf\\xe0\\xb0\\xbe\\xe0\\xb0\\xa3\\xe0\\xb1\\x80\\xe0\\xb0\\x95\\xe0\\xb1\\x81\\xe0\\xb0\\xb2_\\xe0\\xb0\\xb0\\xe0\\xb1\\x88\\xe0\\xb0\\xb3\\xe0\\xb1\\x8d\\xe0\\xb0\\xb2\\xe0\\xb1\\x81_\\xe0\\xb0\\x9c\\xe0\\xb0\\xbe\\xe0\\xb0\\xac\\xe0\\xb0\\xbf\\xe0\\xb0\\xa4\\xe0\\xb0\\xbe'</td>\n",
-       "      <td>435</td>\n",
-       "      <td><a href='https://te.wikipedia.org/wiki/b'\\xe0\\xb0\\xad\\xe0\\xb0\\xbe\\xe0\\xb0\\xb0\\xe0\\xb0\\xa4\\xe0\\xb0\\xa6\\xe0\\xb1\\x87\\xe0\\xb0\\xb6_\\xe0\\xb0\\xaa\\xe0\\xb1\\x8d\\xe0\\xb0\\xb0\\xe0\\xb0\\xaf\\xe0\\xb0\\xbe\\xe0\\xb0\\xa3\\xe0\\xb1\\x80\\xe0\\xb0\\x95\\xe0\\xb1\\x81\\xe0\\xb0\\xb2_\\xe0\\xb0\\xb0\\xe0\\xb1\\x88\\xe0\\xb0\\xb3\\xe0\\xb1\\x8d\\xe0\\xb0\\xb2\\xe0\\xb1\\x81_\\xe0\\xb0\\x9c\\xe0\\xb0\\xbe\\xe0\\xb0\\xac\\xe0\\xb0\\xbf\\xe0\\xb0\\xa4\\xe0\\xb0\\xbe'' target='_blank'>View</a></td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <td>2019-01-04</td>\n",
-       "      <td>b'\\xe0\\xb0\\xad\\xe0\\xb0\\xbe\\xe0\\xb0\\xb0\\xe0\\xb0\\xa4\\xe0\\xb1\\x80\\xe0\\xb0\\xaf_\\xe0\\xb0\\xb0\\xe0\\xb1\\x88\\xe0\\xb0\\xb2\\xe0\\xb1\\x8d\\xe0\\xb0\\xb5\\xe0\\xb1\\x87_\\xe0\\xb0\\xb8\\xe0\\xb1\\x8d\\xe0\\xb0\\x9f\\xe0\\xb1\\x87\\xe0\\xb0\\xb7\\xe0\\xb0\\xa8\\xe0\\xb1\\x8d\\xe0\\xb0\\xb2_\\xe0\\xb0\\x9c\\xe0\\xb0\\xbe\\xe0\\xb0\\xac\\xe0\\xb0\\xbf\\xe0\\xb0\\xa4\\xe0\\xb0\\xbe'</td>\n",
-       "      <td>340</td>\n",
-       "      <td><a href='https://te.wikipedia.org/wiki/b'\\xe0\\xb0\\xad\\xe0\\xb0\\xbe\\xe0\\xb0\\xb0\\xe0\\xb0\\xa4\\xe0\\xb1\\x80\\xe0\\xb0\\xaf_\\xe0\\xb0\\xb0\\xe0\\xb1\\x88\\xe0\\xb0\\xb2\\xe0\\xb1\\x8d\\xe0\\xb0\\xb5\\xe0\\xb1\\x87_\\xe0\\xb0\\xb8\\xe0\\xb1\\x8d\\xe0\\xb0\\x9f\\xe0\\xb1\\x87\\xe0\\xb0\\xb7\\xe0\\xb0\\xa8\\xe0\\xb1\\x8d\\xe0\\xb0\\xb2_\\xe0\\xb0\\x9c\\xe0\\xb0\\xbe\\xe0\\xb0\\xac\\xe0\\xb0\\xbf\\xe0\\xb0\\xa4\\xe0\\xb0\\xbe'' target='_blank'>View</a></td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <td>2018-06-25</td>\n",
-       "      <td>b'\\xe0\\xb0\\xad\\xe0\\xb0\\xbe\\xe0\\xb0\\xb0\\xe0\\xb0\\xa4\\xe0\\xb1\\x80\\xe0\\xb0\\xaf_\\xe0\\xb0\\xb0\\xe0\\xb1\\x88\\xe0\\xb0\\xb2\\xe0\\xb1\\x8d\\xe0\\xb0\\xb5\\xe0\\xb1\\x87_\\xe0\\xb0\\xb8\\xe0\\xb1\\x8d\\xe0\\xb0\\x9f\\xe0\\xb1\\x87\\xe0\\xb0\\xb7\\xe0\\xb0\\xa8\\xe0\\xb1\\x8d\\xe0\\xb0\\xb2_\\xe0\\xb0\\x9c\\xe0\\xb0\\xbe\\xe0\\xb0\\xac\\xe0\\xb0\\xbf\\xe0\\xb0\\xa4\\xe0\\xb0\\xbe'</td>\n",
-       "      <td>311</td>\n",
-       "      <td><a href='https://te.wikipedia.org/wiki/b'\\xe0\\xb0\\xad\\xe0\\xb0\\xbe\\xe0\\xb0\\xb0\\xe0\\xb0\\xa4\\xe0\\xb1\\x80\\xe0\\xb0\\xaf_\\xe0\\xb0\\xb0\\xe0\\xb1\\x88\\xe0\\xb0\\xb2\\xe0\\xb1\\x8d\\xe0\\xb0\\xb5\\xe0\\xb1\\x87_\\xe0\\xb0\\xb8\\xe0\\xb1\\x8d\\xe0\\xb0\\x9f\\xe0\\xb1\\x87\\xe0\\xb0\\xb7\\xe0\\xb0\\xa8\\xe0\\xb1\\x8d\\xe0\\xb0\\xb2_\\xe0\\xb0\\x9c\\xe0\\xb0\\xbe\\xe0\\xb0\\xac\\xe0\\xb0\\xbf\\xe0\\xb0\\xa4\\xe0\\xb0\\xbe'' target='_blank'>View</a></td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <td>2017-06-08</td>\n",
-       "      <td>b'\\xe0\\xb0\\xad\\xe0\\xb0\\xbe\\xe0\\xb0\\xb0\\xe0\\xb0\\xa4\\xe0\\xb1\\x80\\xe0\\xb0\\xaf_\\xe0\\xb0\\x9a\\xe0\\xb0\\x95\\xe0\\xb1\\x8d\\xe0\\xb0\\xb0\\xe0\\xb0\\xb5\\xe0\\xb0\\xb0\\xe0\\xb1\\x8d\\xe0\\xb0\\xa4\\xe0\\xb1\\x81\\xe0\\xb0\\xb2_\\xe0\\xb0\\x9c\\xe0\\xb0\\xbe\\xe0\\xb0\\xac\\xe0\\xb0\\xbf\\xe0\\xb0\\xa4\\xe0\\xb0\\xbe'</td>\n",
-       "      <td>309</td>\n",
-       "      <td><a href='https://te.wikipedia.org/wiki/b'\\xe0\\xb0\\xad\\xe0\\xb0\\xbe\\xe0\\xb0\\xb0\\xe0\\xb0\\xa4\\xe0\\xb1\\x80\\xe0\\xb0\\xaf_\\xe0\\xb0\\x9a\\xe0\\xb0\\x95\\xe0\\xb1\\x8d\\xe0\\xb0\\xb0\\xe0\\xb0\\xb5\\xe0\\xb0\\xb0\\xe0\\xb1\\x8d\\xe0\\xb0\\xa4\\xe0\\xb1\\x81\\xe0\\xb0\\xb2_\\xe0\\xb0\\x9c\\xe0\\xb0\\xbe\\xe0\\xb0\\xac\\xe0\\xb0\\xbf\\xe0\\xb0\\xa4\\xe0\\xb0\\xbe'' target='_blank'>View</a></td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <td>2015-10-18</td>\n",
-       "      <td>b'\\xe0\\xb0\\xad\\xe0\\xb0\\xbe\\xe0\\xb0\\xb0\\xe0\\xb0\\xa4\\xe0\\xb0\\xa6\\xe0\\xb1\\x87\\xe0\\xb0\\xb6_\\xe0\\xb0\\xaa\\xe0\\xb1\\x8d\\xe0\\xb0\\xb0\\xe0\\xb0\\xaf\\xe0\\xb0\\xbe\\xe0\\xb0\\xa3\\xe0\\xb1\\x80\\xe0\\xb0\\x95\\xe0\\xb1\\x81\\xe0\\xb0\\xb2_\\xe0\\xb0\\xb0\\xe0\\xb1\\x88\\xe0\\xb0\\xb3\\xe0\\xb1\\x8d\\xe0\\xb0\\xb2\\xe0\\xb1\\x81_\\xe0\\xb0\\x9c\\xe0\\xb0\\xbe\\xe0\\xb0\\xac\\xe0\\xb0\\xbf\\xe0\\xb0\\xa4\\xe0\\xb0\\xbe'</td>\n",
-       "      <td>307</td>\n",
-       "      <td><a href='https://te.wikipedia.org/wiki/b'\\xe0\\xb0\\xad\\xe0\\xb0\\xbe\\xe0\\xb0\\xb0\\xe0\\xb0\\xa4\\xe0\\xb0\\xa6\\xe0\\xb1\\x87\\xe0\\xb0\\xb6_\\xe0\\xb0\\xaa\\xe0\\xb1\\x8d\\xe0\\xb0\\xb0\\xe0\\xb0\\xaf\\xe0\\xb0\\xbe\\xe0\\xb0\\xa3\\xe0\\xb1\\x80\\xe0\\xb0\\x95\\xe0\\xb1\\x81\\xe0\\xb0\\xb2_\\xe0\\xb0\\xb0\\xe0\\xb1\\x88\\xe0\\xb0\\xb3\\xe0\\xb1\\x8d\\xe0\\xb0\\xb2\\xe0\\xb1\\x81_\\xe0\\xb0\\x9c\\xe0\\xb0\\xbe\\xe0\\xb0\\xac\\xe0\\xb0\\xbf\\xe0\\xb0\\xa4\\xe0\\xb0\\xbe'' target='_blank'>View</a></td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <td>2015-10-21</td>\n",
-       "      <td>b'\\xe0\\xb0\\xad\\xe0\\xb0\\xbe\\xe0\\xb0\\xb0\\xe0\\xb0\\xa4\\xe0\\xb0\\xa6\\xe0\\xb1\\x87\\xe0\\xb0\\xb6_\\xe0\\xb0\\xaa\\xe0\\xb1\\x8d\\xe0\\xb0\\xb0\\xe0\\xb0\\xaf\\xe0\\xb0\\xbe\\xe0\\xb0\\xa3\\xe0\\xb1\\x80\\xe0\\xb0\\x95\\xe0\\xb1\\x81\\xe0\\xb0\\xb2_\\xe0\\xb0\\xb0\\xe0\\xb1\\x88\\xe0\\xb0\\xb3\\xe0\\xb1\\x8d\\xe0\\xb0\\xb2\\xe0\\xb1\\x81_\\xe0\\xb0\\x9c\\xe0\\xb0\\xbe\\xe0\\xb0\\xac\\xe0\\xb0\\xbf\\xe0\\xb0\\xa4\\xe0\\xb0\\xbe'</td>\n",
-       "      <td>297</td>\n",
-       "      <td><a href='https://te.wikipedia.org/wiki/b'\\xe0\\xb0\\xad\\xe0\\xb0\\xbe\\xe0\\xb0\\xb0\\xe0\\xb0\\xa4\\xe0\\xb0\\xa6\\xe0\\xb1\\x87\\xe0\\xb0\\xb6_\\xe0\\xb0\\xaa\\xe0\\xb1\\x8d\\xe0\\xb0\\xb0\\xe0\\xb0\\xaf\\xe0\\xb0\\xbe\\xe0\\xb0\\xa3\\xe0\\xb1\\x80\\xe0\\xb0\\x95\\xe0\\xb1\\x81\\xe0\\xb0\\xb2_\\xe0\\xb0\\xb0\\xe0\\xb1\\x88\\xe0\\xb0\\xb3\\xe0\\xb1\\x8d\\xe0\\xb0\\xb2\\xe0\\xb1\\x81_\\xe0\\xb0\\x9c\\xe0\\xb0\\xbe\\xe0\\xb0\\xac\\xe0\\xb0\\xbf\\xe0\\xb0\\xa4\\xe0\\xb0\\xbe'' target='_blank'>View</a></td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <td>2015-10-16</td>\n",
-       "      <td>b'\\xe0\\xb0\\xad\\xe0\\xb0\\xbe\\xe0\\xb0\\xb0\\xe0\\xb0\\xa4\\xe0\\xb0\\xa6\\xe0\\xb1\\x87\\xe0\\xb0\\xb6_\\xe0\\xb0\\xaa\\xe0\\xb1\\x8d\\xe0\\xb0\\xb0\\xe0\\xb0\\xaf\\xe0\\xb0\\xbe\\xe0\\xb0\\xa3\\xe0\\xb1\\x80\\xe0\\xb0\\x95\\xe0\\xb1\\x81\\xe0\\xb0\\xb2_\\xe0\\xb0\\xb0\\xe0\\xb1\\x88\\xe0\\xb0\\xb3\\xe0\\xb1\\x8d\\xe0\\xb0\\xb2\\xe0\\xb1\\x81_\\xe0\\xb0\\x9c\\xe0\\xb0\\xbe\\xe0\\xb0\\xac\\xe0\\xb0\\xbf\\xe0\\xb0\\xa4\\xe0\\xb0\\xbe'</td>\n",
-       "      <td>292</td>\n",
-       "      <td><a href='https://te.wikipedia.org/wiki/b'\\xe0\\xb0\\xad\\xe0\\xb0\\xbe\\xe0\\xb0\\xb0\\xe0\\xb0\\xa4\\xe0\\xb0\\xa6\\xe0\\xb1\\x87\\xe0\\xb0\\xb6_\\xe0\\xb0\\xaa\\xe0\\xb1\\x8d\\xe0\\xb0\\xb0\\xe0\\xb0\\xaf\\xe0\\xb0\\xbe\\xe0\\xb0\\xa3\\xe0\\xb1\\x80\\xe0\\xb0\\x95\\xe0\\xb1\\x81\\xe0\\xb0\\xb2_\\xe0\\xb0\\xb0\\xe0\\xb1\\x88\\xe0\\xb0\\xb3\\xe0\\xb1\\x8d\\xe0\\xb0\\xb2\\xe0\\xb1\\x81_\\xe0\\xb0\\x9c\\xe0\\xb0\\xbe\\xe0\\xb0\\xac\\xe0\\xb0\\xbf\\xe0\\xb0\\xa4\\xe0\\xb0\\xbe'' target='_blank'>View</a></td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <td>2019-01-19</td>\n",
-       "      <td>b'\\xe0\\xb0\\xad\\xe0\\xb0\\xbe\\xe0\\xb0\\xb0\\xe0\\xb0\\xa4\\xe0\\xb1\\x80\\xe0\\xb0\\xaf_\\xe0\\xb0\\xb0\\xe0\\xb1\\x88\\xe0\\xb0\\xb2\\xe0\\xb1\\x8d\\xe0\\xb0\\xb5\\xe0\\xb1\\x87_\\xe0\\xb0\\xb8\\xe0\\xb1\\x8d\\xe0\\xb0\\x9f\\xe0\\xb1\\x87\\xe0\\xb0\\xb7\\xe0\\xb0\\xa8\\xe0\\xb1\\x8d\\xe0\\xb0\\xb2_\\xe0\\xb0\\x9c\\xe0\\xb0\\xbe\\xe0\\xb0\\xac\\xe0\\xb0\\xbf\\xe0\\xb0\\xa4\\xe0\\xb0\\xbe'</td>\n",
-       "      <td>280</td>\n",
-       "      <td><a href='https://te.wikipedia.org/wiki/b'\\xe0\\xb0\\xad\\xe0\\xb0\\xbe\\xe0\\xb0\\xb0\\xe0\\xb0\\xa4\\xe0\\xb1\\x80\\xe0\\xb0\\xaf_\\xe0\\xb0\\xb0\\xe0\\xb1\\x88\\xe0\\xb0\\xb2\\xe0\\xb1\\x8d\\xe0\\xb0\\xb5\\xe0\\xb1\\x87_\\xe0\\xb0\\xb8\\xe0\\xb1\\x8d\\xe0\\xb0\\x9f\\xe0\\xb1\\x87\\xe0\\xb0\\xb7\\xe0\\xb0\\xa8\\xe0\\xb1\\x8d\\xe0\\xb0\\xb2_\\xe0\\xb0\\x9c\\xe0\\xb0\\xbe\\xe0\\xb0\\xac\\xe0\\xb0\\xbf\\xe0\\xb0\\xa4\\xe0\\xb0\\xbe'' target='_blank'>View</a></td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <td>2018-06-13</td>\n",
-       "      <td>b'\\xe0\\xb0\\xad\\xe0\\xb0\\xbe\\xe0\\xb0\\xb0\\xe0\\xb0\\xa4\\xe0\\xb1\\x80\\xe0\\xb0\\xaf_\\xe0\\xb0\\xb0\\xe0\\xb1\\x88\\xe0\\xb0\\xb2\\xe0\\xb1\\x8d\\xe0\\xb0\\xb5\\xe0\\xb1\\x87_\\xe0\\xb0\\xb8\\xe0\\xb1\\x8d\\xe0\\xb0\\x9f\\xe0\\xb1\\x87\\xe0\\xb0\\xb7\\xe0\\xb0\\xa8\\xe0\\xb1\\x8d\\xe0\\xb0\\xb2_\\xe0\\xb0\\x9c\\xe0\\xb0\\xbe\\xe0\\xb0\\xac\\xe0\\xb0\\xbf\\xe0\\xb0\\xa4\\xe0\\xb0\\xbe'</td>\n",
-       "      <td>276</td>\n",
-       "      <td><a href='https://te.wikipedia.org/wiki/b'\\xe0\\xb0\\xad\\xe0\\xb0\\xbe\\xe0\\xb0\\xb0\\xe0\\xb0\\xa4\\xe0\\xb1\\x80\\xe0\\xb0\\xaf_\\xe0\\xb0\\xb0\\xe0\\xb1\\x88\\xe0\\xb0\\xb2\\xe0\\xb1\\x8d\\xe0\\xb0\\xb5\\xe0\\xb1\\x87_\\xe0\\xb0\\xb8\\xe0\\xb1\\x8d\\xe0\\xb0\\x9f\\xe0\\xb1\\x87\\xe0\\xb0\\xb7\\xe0\\xb0\\xa8\\xe0\\xb1\\x8d\\xe0\\xb0\\xb2_\\xe0\\xb0\\x9c\\xe0\\xb0\\xbe\\xe0\\xb0\\xac\\xe0\\xb0\\xbf\\xe0\\xb0\\xa4\\xe0\\xb0\\xbe'' target='_blank'>View</a></td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <td>2024-12-03</td>\n",
-       "      <td>b'\\xe0\\xb0\\xad\\xe0\\xb0\\x95\\xe0\\xb1\\x8d\\xe0\\xb0\\xa4\\xe0\\xb1\\x8d_\\xe0\\xb0\\xac\\xe0\\xb1\\x81\\xe0\\xb0\\xb2\\xe0\\xb0\\x82\\xe0\\xb0\\xa6\\xe0\\xb1\\x8d_\\xe0\\xb0\\xb7\\xe0\\xb0\\xbe'</td>\n",
-       "      <td>261</td>\n",
-       "      <td><a href='https://te.wikipedia.org/wiki/b'\\xe0\\xb0\\xad\\xe0\\xb0\\x95\\xe0\\xb1\\x8d\\xe0\\xb0\\xa4\\xe0\\xb1\\x8d_\\xe0\\xb0\\xac\\xe0\\xb1\\x81\\xe0\\xb0\\xb2\\xe0\\xb0\\x82\\xe0\\xb0\\xa6\\xe0\\xb1\\x8d_\\xe0\\xb0\\xb7\\xe0\\xb0\\xbe'' target='_blank'>View</a></td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>"
-      ],
-      "text/plain": [
-       "<IPython.core.display.HTML object>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "🔄 Querying hiwiki...\n",
-      "✅ Table for hiwiki\n"
-     ]
-    },
-    {
-     "data": {
-      "text/html": [
-       "<h3>HIWIKI – Top 10 Edited Pages</h3>"
-      ],
-      "text/plain": [
-       "<IPython.core.display.HTML object>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th>edit_date</th>\n",
-       "      <th>page_title</th>\n",
-       "      <th>edit_count</th>\n",
-       "      <th>article_link</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <td>2016-07-15</td>\n",
-       "      <td>b'2016_\\xe0\\xa4\\xa8\\xe0\\xa5\\x80\\xe0\\xa4\\xb8_\\xe0\\xa4\\xb9\\xe0\\xa4\\xae\\xe0\\xa4\\xb2\\xe0\\xa4\\xbe'</td>\n",
-       "      <td>377</td>\n",
-       "      <td><a href='https://hi.wikipedia.org/wiki/b'2016_\\xe0\\xa4\\xa8\\xe0\\xa5\\x80\\xe0\\xa4\\xb8_\\xe0\\xa4\\xb9\\xe0\\xa4\\xae\\xe0\\xa4\\xb2\\xe0\\xa4\\xbe'' target='_blank'>View</a></td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <td>2023-05-09</td>\n",
-       "      <td>b'\\xe0\\xa4\\xb8\\xe0\\xa5\\x81\\xe0\\xa4\\x82\\xe0\\xa4\\xa6\\xe0\\xa4\\xb0_\\xe0\\xa4\\xaa\\xe0\\xa4\\xbf\\xe0\\xa4\\x9a\\xe0\\xa4\\xbe\\xe0\\xa4\\x88'</td>\n",
-       "      <td>219</td>\n",
-       "      <td><a href='https://hi.wikipedia.org/wiki/b'\\xe0\\xa4\\xb8\\xe0\\xa5\\x81\\xe0\\xa4\\x82\\xe0\\xa4\\xa6\\xe0\\xa4\\xb0_\\xe0\\xa4\\xaa\\xe0\\xa4\\xbf\\xe0\\xa4\\x9a\\xe0\\xa4\\xbe\\xe0\\xa4\\x88'' target='_blank'>View</a></td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <td>2021-08-30</td>\n",
-       "      <td>b'\\xe0\\xa4\\x86\\xe0\\xa4\\xb2\\xe0\\xa5\\x8d\\xe0\\xa4\\xb9\\xe0\\xa4\\xbe'</td>\n",
-       "      <td>217</td>\n",
-       "      <td><a href='https://hi.wikipedia.org/wiki/b'\\xe0\\xa4\\x86\\xe0\\xa4\\xb2\\xe0\\xa5\\x8d\\xe0\\xa4\\xb9\\xe0\\xa4\\xbe'' target='_blank'>View</a></td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <td>2023-04-19</td>\n",
-       "      <td>b'\\xe0\\xa4\\xa1\\xe0\\xa5\\x80\\xe0\\xa4\\xa1\\xe0\\xa5\\x80_\\xe0\\xa4\\xa8\\xe0\\xa5\\x8d\\xe0\\xa4\\xaf\\xe0\\xa5\\x82\\xe0\\xa4\\x9c\\xe0\\xa4\\xbc'</td>\n",
-       "      <td>216</td>\n",
-       "      <td><a href='https://hi.wikipedia.org/wiki/b'\\xe0\\xa4\\xa1\\xe0\\xa5\\x80\\xe0\\xa4\\xa1\\xe0\\xa5\\x80_\\xe0\\xa4\\xa8\\xe0\\xa5\\x8d\\xe0\\xa4\\xaf\\xe0\\xa5\\x82\\xe0\\xa4\\x9c\\xe0\\xa4\\xbc'' target='_blank'>View</a></td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <td>2010-06-17</td>\n",
-       "      <td>b'\\xe0\\xa4\\xb0\\xe0\\xa4\\xbe\\xe0\\xa4\\xb6\\xe0\\xa4\\xbf_\\xe0\\xa4\\x94\\xe0\\xa4\\xb0_\\xe0\\xa4\\xb0\\xe0\\xa4\\xa4\\xe0\\xa5\\x8d\\xe0\\xa4\\xa8'</td>\n",
-       "      <td>204</td>\n",
-       "      <td><a href='https://hi.wikipedia.org/wiki/b'\\xe0\\xa4\\xb0\\xe0\\xa4\\xbe\\xe0\\xa4\\xb6\\xe0\\xa4\\xbf_\\xe0\\xa4\\x94\\xe0\\xa4\\xb0_\\xe0\\xa4\\xb0\\xe0\\xa4\\xa4\\xe0\\xa5\\x8d\\xe0\\xa4\\xa8'' target='_blank'>View</a></td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <td>2021-08-30</td>\n",
-       "      <td>b'\\xe0\\xa4\\x86\\xe0\\xa4\\xb2\\xe0\\xa5\\x8d\\xe0\\xa4\\xb9-\\xe0\\xa4\\x96\\xe0\\xa4\\xa3\\xe0\\xa5\\x8d\\xe0\\xa4\\xa1'</td>\n",
-       "      <td>198</td>\n",
-       "      <td><a href='https://hi.wikipedia.org/wiki/b'\\xe0\\xa4\\x86\\xe0\\xa4\\xb2\\xe0\\xa5\\x8d\\xe0\\xa4\\xb9-\\xe0\\xa4\\x96\\xe0\\xa4\\xa3\\xe0\\xa5\\x8d\\xe0\\xa4\\xa1'' target='_blank'>View</a></td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <td>2021-08-31</td>\n",
-       "      <td>b'\\xe0\\xa4\\x86\\xe0\\xa4\\xb2\\xe0\\xa5\\x8d\\xe0\\xa4\\xb9-\\xe0\\xa4\\x96\\xe0\\xa4\\xa3\\xe0\\xa5\\x8d\\xe0\\xa4\\xa1'</td>\n",
-       "      <td>195</td>\n",
-       "      <td><a href='https://hi.wikipedia.org/wiki/b'\\xe0\\xa4\\x86\\xe0\\xa4\\xb2\\xe0\\xa5\\x8d\\xe0\\xa4\\xb9-\\xe0\\xa4\\x96\\xe0\\xa4\\xa3\\xe0\\xa5\\x8d\\xe0\\xa4\\xa1'' target='_blank'>View</a></td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <td>2021-08-31</td>\n",
-       "      <td>b'\\xe0\\xa4\\x86\\xe0\\xa4\\xb2\\xe0\\xa5\\x8d\\xe0\\xa4\\xb9\\xe0\\xa4\\xbe'</td>\n",
-       "      <td>191</td>\n",
-       "      <td><a href='https://hi.wikipedia.org/wiki/b'\\xe0\\xa4\\x86\\xe0\\xa4\\xb2\\xe0\\xa5\\x8d\\xe0\\xa4\\xb9\\xe0\\xa4\\xbe'' target='_blank'>View</a></td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <td>2016-07-14</td>\n",
-       "      <td>b'2016_\\xe0\\xa4\\xa8\\xe0\\xa5\\x80\\xe0\\xa4\\xb8_\\xe0\\xa4\\xb9\\xe0\\xa4\\xae\\xe0\\xa4\\xb2\\xe0\\xa4\\xbe'</td>\n",
-       "      <td>189</td>\n",
-       "      <td><a href='https://hi.wikipedia.org/wiki/b'2016_\\xe0\\xa4\\xa8\\xe0\\xa5\\x80\\xe0\\xa4\\xb8_\\xe0\\xa4\\xb9\\xe0\\xa4\\xae\\xe0\\xa4\\xb2\\xe0\\xa4\\xbe'' target='_blank'>View</a></td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <td>2021-08-31</td>\n",
-       "      <td>b'\\xe0\\xa4\\x8a\\xe0\\xa4\\xa6\\xe0\\xa4\\xb2'</td>\n",
-       "      <td>185</td>\n",
-       "      <td><a href='https://hi.wikipedia.org/wiki/b'\\xe0\\xa4\\x8a\\xe0\\xa4\\xa6\\xe0\\xa4\\xb2'' target='_blank'>View</a></td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>"
-      ],
-      "text/plain": [
-       "<IPython.core.display.HTML object>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "🔄 Querying mlwiki...\n",
-      "✅ Table for mlwiki\n"
-     ]
-    },
-    {
-     "data": {
-      "text/html": [
-       "<h3>MLWIKI – Top 10 Edited Pages</h3>"
-      ],
-      "text/plain": [
-       "<IPython.core.display.HTML object>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th>edit_date</th>\n",
-       "      <th>page_title</th>\n",
-       "      <th>edit_count</th>\n",
-       "      <th>article_link</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <td>2016-05-19</td>\n",
-       "      <td>b'\\xe0\\xb4\\xaa\\xe0\\xb4\\xa4\\xe0\\xb4\\xbf\\xe0\\xb4\\xa8\\xe0\\xb4\\xbe\\xe0\\xb4\\xb2\\xe0\\xb4\\xbe\\xe0\\xb4\\x82_\\xe0\\xb4\\x95\\xe0\\xb5\\x87\\xe0\\xb4\\xb0\\xe0\\xb4\\xb3\\xe0\\xb4\\xa8\\xe0\\xb4\\xbf\\xe0\\xb4\\xaf\\xe0\\xb4\\xae\\xe0\\xb4\\xb8\\xe0\\xb4\\xad'</td>\n",
-       "      <td>179</td>\n",
-       "      <td><a href='https://ml.wikipedia.org/wiki/b'\\xe0\\xb4\\xaa\\xe0\\xb4\\xa4\\xe0\\xb4\\xbf\\xe0\\xb4\\xa8\\xe0\\xb4\\xbe\\xe0\\xb4\\xb2\\xe0\\xb4\\xbe\\xe0\\xb4\\x82_\\xe0\\xb4\\x95\\xe0\\xb5\\x87\\xe0\\xb4\\xb0\\xe0\\xb4\\xb3\\xe0\\xb4\\xa8\\xe0\\xb4\\xbf\\xe0\\xb4\\xaf\\xe0\\xb4\\xae\\xe0\\xb4\\xb8\\xe0\\xb4\\xad'' target='_blank'>View</a></td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <td>2014-06-06</td>\n",
-       "      <td>b'\\xe0\\xb4\\x9a\\xe0\\xb5\\x88\\xe0\\xb4\\xa8\\xe0\\xb4\\xaf\\xe0\\xb5\\x81\\xe0\\xb4\\x9f\\xe0\\xb5\\x86_\\xe0\\xb4\\x9a\\xe0\\xb4\\xb0\\xe0\\xb4\\xbf\\xe0\\xb4\\xa4\\xe0\\xb5\\x8d\\xe0\\xb4\\xb0\\xe0\\xb4\\x82'</td>\n",
-       "      <td>175</td>\n",
-       "      <td><a href='https://ml.wikipedia.org/wiki/b'\\xe0\\xb4\\x9a\\xe0\\xb5\\x88\\xe0\\xb4\\xa8\\xe0\\xb4\\xaf\\xe0\\xb5\\x81\\xe0\\xb4\\x9f\\xe0\\xb5\\x86_\\xe0\\xb4\\x9a\\xe0\\xb4\\xb0\\xe0\\xb4\\xbf\\xe0\\xb4\\xa4\\xe0\\xb5\\x8d\\xe0\\xb4\\xb0\\xe0\\xb4\\x82'' target='_blank'>View</a></td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <td>2016-09-02</td>\n",
-       "      <td>b'\\xe0\\xb4\\xac\\xe0\\xb5\\x8d\\xe0\\xb4\\xb2\\xe0\\xb4\\xbe\\xe0\\xb4\\x95\\xe0\\xb5\\x8d\\xe0\\xb4\\x95\\xe0\\xb5\\x8d_\\xe0\\xb4\\x9c\\xe0\\xb5\\x82\\xe0\\xb4\\xb2\\xe0\\xb5\\x88'</td>\n",
-       "      <td>151</td>\n",
-       "      <td><a href='https://ml.wikipedia.org/wiki/b'\\xe0\\xb4\\xac\\xe0\\xb5\\x8d\\xe0\\xb4\\xb2\\xe0\\xb4\\xbe\\xe0\\xb4\\x95\\xe0\\xb5\\x8d\\xe0\\xb4\\x95\\xe0\\xb5\\x8d_\\xe0\\xb4\\x9c\\xe0\\xb5\\x82\\xe0\\xb4\\xb2\\xe0\\xb5\\x88'' target='_blank'>View</a></td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <td>2011-08-06</td>\n",
-       "      <td>b'\\xe0\\xb4\\x8e\\xe0\\xb4\\xae\\xe0\\xb4\\xbf\\xe0\\xb4\\xb2\\xe0\\xb4\\xbf_\\xe0\\xb4\\xa1\\xe0\\xb4\\xbf\\xe0\\xb4\\x95\\xe0\\xb5\\x8d\\xe0\\xb4\\x95\\xe0\\xb4\\xbf\\xe0\\xb5\\xbb\\xe0\\xb4\\xb8\\xe0\\xb5\\xba'</td>\n",
-       "      <td>150</td>\n",
-       "      <td><a href='https://ml.wikipedia.org/wiki/b'\\xe0\\xb4\\x8e\\xe0\\xb4\\xae\\xe0\\xb4\\xbf\\xe0\\xb4\\xb2\\xe0\\xb4\\xbf_\\xe0\\xb4\\xa1\\xe0\\xb4\\xbf\\xe0\\xb4\\x95\\xe0\\xb5\\x8d\\xe0\\xb4\\x95\\xe0\\xb4\\xbf\\xe0\\xb5\\xbb\\xe0\\xb4\\xb8\\xe0\\xb5\\xba'' target='_blank'>View</a></td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <td>2017-01-25</td>\n",
-       "      <td>b'\\xe0\\xb4\\x95\\xe0\\xb5\\x87\\xe0\\xb4\\xb0\\xe0\\xb4\\xb3\\xe0\\xb4\\xa4\\xe0\\xb5\\x8d\\xe0\\xb4\\xa4\\xe0\\xb4\\xbf\\xe0\\xb4\\xb2\\xe0\\xb5\\x86_\\xe0\\xb4\\x9a\\xe0\\xb4\\xbf\\xe0\\xb4\\xa4\\xe0\\xb5\\x8d\\xe0\\xb4\\xb0\\xe0\\xb4\\xb6\\xe0\\xb4\\xb2\\xe0\\xb4\\xad\\xe0\\xb4\\x99\\xe0\\xb5\\x8d\\xe0\\xb4\\x99\\xe0\\xb5\\xbe'</td>\n",
-       "      <td>137</td>\n",
-       "      <td><a href='https://ml.wikipedia.org/wiki/b'\\xe0\\xb4\\x95\\xe0\\xb5\\x87\\xe0\\xb4\\xb0\\xe0\\xb4\\xb3\\xe0\\xb4\\xa4\\xe0\\xb5\\x8d\\xe0\\xb4\\xa4\\xe0\\xb4\\xbf\\xe0\\xb4\\xb2\\xe0\\xb5\\x86_\\xe0\\xb4\\x9a\\xe0\\xb4\\xbf\\xe0\\xb4\\xa4\\xe0\\xb5\\x8d\\xe0\\xb4\\xb0\\xe0\\xb4\\xb6\\xe0\\xb4\\xb2\\xe0\\xb4\\xad\\xe0\\xb4\\x99\\xe0\\xb5\\x8d\\xe0\\xb4\\x99\\xe0\\xb5\\xbe'' target='_blank'>View</a></td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <td>2015-09-24</td>\n",
-       "      <td>b'\\xe0\\xb4\\x85\\xe0\\xb4\\x99\\xe0\\xb5\\x8d\\xe0\\xb4\\x95\\xe0\\xb4\\xae\\xe0\\xb4\\xbe\\xe0\\xb4\\xb2\\xe0\\xb4\\xbf\\xe0\\xb4\\xaf\\xe0\\xb4\\xbf\\xe0\\xb4\\xb2\\xe0\\xb5\\x86_\\xe0\\xb4\\xae\\xe0\\xb4\\xbe\\xe0\\xb5\\xbc_\\xe0\\xb4\\x85\\xe0\\xb4\\xac\\xe0\\xb5\\x8d\\xe0\\xb4\\xb0\\xe0\\xb4\\xbe\\xe0\\xb4\\xb9\\xe0\\xb4\\x82'</td>\n",
-       "      <td>134</td>\n",
-       "      <td><a href='https://ml.wikipedia.org/wiki/b'\\xe0\\xb4\\x85\\xe0\\xb4\\x99\\xe0\\xb5\\x8d\\xe0\\xb4\\x95\\xe0\\xb4\\xae\\xe0\\xb4\\xbe\\xe0\\xb4\\xb2\\xe0\\xb4\\xbf\\xe0\\xb4\\xaf\\xe0\\xb4\\xbf\\xe0\\xb4\\xb2\\xe0\\xb5\\x86_\\xe0\\xb4\\xae\\xe0\\xb4\\xbe\\xe0\\xb5\\xbc_\\xe0\\xb4\\x85\\xe0\\xb4\\xac\\xe0\\xb5\\x8d\\xe0\\xb4\\xb0\\xe0\\xb4\\xbe\\xe0\\xb4\\xb9\\xe0\\xb4\\x82'' target='_blank'>View</a></td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <td>2012-12-26</td>\n",
-       "      <td>b'\\xe0\\xb4\\xb8\\xe0\\xb5\\x97\\xe0\\xb4\\xa6\\xe0\\xb4\\xbf_\\xe0\\xb4\\x85\\xe0\\xb4\\xb1\\xe0\\xb5\\x87\\xe0\\xb4\\xac\\xe0\\xb5\\x8d\\xe0\\xb4\\xaf'</td>\n",
-       "      <td>134</td>\n",
-       "      <td><a href='https://ml.wikipedia.org/wiki/b'\\xe0\\xb4\\xb8\\xe0\\xb5\\x97\\xe0\\xb4\\xa6\\xe0\\xb4\\xbf_\\xe0\\xb4\\x85\\xe0\\xb4\\xb1\\xe0\\xb5\\x87\\xe0\\xb4\\xac\\xe0\\xb5\\x8d\\xe0\\xb4\\xaf'' target='_blank'>View</a></td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <td>2016-12-20</td>\n",
-       "      <td>b'\\xe0\\xb4\\x95\\xe0\\xb5\\x87\\xe0\\xb4\\xb0\\xe0\\xb4\\xb3\\xe0\\xb4\\xa4\\xe0\\xb5\\x8d\\xe0\\xb4\\xa4\\xe0\\xb4\\xbf\\xe0\\xb4\\xb2\\xe0\\xb5\\x86_\\xe0\\xb4\\xa4\\xe0\\xb5\\x81\\xe0\\xb4\\xae\\xe0\\xb5\\x8d\\xe0\\xb4\\xaa\\xe0\\xb4\\xbf\\xe0\\xb4\\x95\\xe0\\xb5\\xbe'</td>\n",
-       "      <td>133</td>\n",
-       "      <td><a href='https://ml.wikipedia.org/wiki/b'\\xe0\\xb4\\x95\\xe0\\xb5\\x87\\xe0\\xb4\\xb0\\xe0\\xb4\\xb3\\xe0\\xb4\\xa4\\xe0\\xb5\\x8d\\xe0\\xb4\\xa4\\xe0\\xb4\\xbf\\xe0\\xb4\\xb2\\xe0\\xb5\\x86_\\xe0\\xb4\\xa4\\xe0\\xb5\\x81\\xe0\\xb4\\xae\\xe0\\xb5\\x8d\\xe0\\xb4\\xaa\\xe0\\xb4\\xbf\\xe0\\xb4\\x95\\xe0\\xb5\\xbe'' target='_blank'>View</a></td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <td>2012-10-03</td>\n",
-       "      <td>b'\\xe0\\xb4\\xb8\\xe0\\xb5\\x97\\xe0\\xb4\\xa6\\xe0\\xb4\\xbf_\\xe0\\xb4\\x85\\xe0\\xb4\\xb1\\xe0\\xb5\\x87\\xe0\\xb4\\xac\\xe0\\xb5\\x8d\\xe0\\xb4\\xaf'</td>\n",
-       "      <td>129</td>\n",
-       "      <td><a href='https://ml.wikipedia.org/wiki/b'\\xe0\\xb4\\xb8\\xe0\\xb5\\x97\\xe0\\xb4\\xa6\\xe0\\xb4\\xbf_\\xe0\\xb4\\x85\\xe0\\xb4\\xb1\\xe0\\xb5\\x87\\xe0\\xb4\\xac\\xe0\\xb5\\x8d\\xe0\\xb4\\xaf'' target='_blank'>View</a></td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <td>2012-12-25</td>\n",
-       "      <td>b'\\xe0\\xb4\\xb8\\xe0\\xb5\\x97\\xe0\\xb4\\xa6\\xe0\\xb4\\xbf_\\xe0\\xb4\\x85\\xe0\\xb4\\xb1\\xe0\\xb5\\x87\\xe0\\xb4\\xac\\xe0\\xb5\\x8d\\xe0\\xb4\\xaf'</td>\n",
-       "      <td>128</td>\n",
-       "      <td><a href='https://ml.wikipedia.org/wiki/b'\\xe0\\xb4\\xb8\\xe0\\xb5\\x97\\xe0\\xb4\\xa6\\xe0\\xb4\\xbf_\\xe0\\xb4\\x85\\xe0\\xb4\\xb1\\xe0\\xb5\\x87\\xe0\\xb4\\xac\\xe0\\xb5\\x8d\\xe0\\xb4\\xaf'' target='_blank'>View</a></td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>"
-      ],
-      "text/plain": [
-       "<IPython.core.display.HTML object>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "\n",
-    "# Step 4: Run and display tables for each wiki\n",
-    "for wiki in wikis:\n",
-    "    print(f\"🔄 Querying {wiki}...\")\n",
-    "    output = connect_and_query(wiki, query)\n",
-    "    if output:\n",
-    "        df = pd.DataFrame(output, columns=['edit_date', 'page_id', 'page_title', 'edit_count'])\n",
-    "        df['page_url'] = df.apply(\n",
-    "            lambda row: f\"https://{wiki.replace('wiki','')}.wikipedia.org/wiki/{str(row['page_title']).replace(' ', '_')}\",\n",
-    "            axis=1\n",
-    "        )\n",
-    "        df['article_link'] = df.apply(\n",
-    "            lambda row: f\"<a href='{row['page_url']}' target='_blank'>View</a>\",\n",
-    "            axis=1\n",
-    "        )\n",
-    "\n",
-    "        print(f\"✅ Table for {wiki}\")\n",
-    "        display(HTML(f\"<h3>{wiki.upper()} – Top 10 Edited Pages</h3>\"))\n",
-    "        display(HTML(df[['edit_date', 'page_title', 'edit_count', 'article_link']].to_html(escape=False, index=False)))\n",
-    "    else:\n",
-    "        print(f\"⚠️ No data from {wiki}\")\n"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "7979aa93-ac6e-4875-b796-0a615936f7df",
-   "metadata": {},
-   "source": [
-    "**\"- VE vs. wikitext:- Content Translation ,Section Translation\"**"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 45,
-   "id": "9c4811f1-b4f4-4021-9dba-454d002ec55b",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "\n",
-    "# SQL: Edit counts by tool\n",
-    "query = \"\"\"\n",
-    "SELECT \n",
-    "    ctd.ctd_name AS edit_tool,\n",
-    "    COUNT(*) AS edit_count\n",
-    "FROM change_tag ct\n",
-    "JOIN change_tag_def ctd \n",
-    "    ON ct.ct_tag_id = ctd.ctd_id  \n",
-    "JOIN revision r \n",
-    "    ON ct.ct_rev_id = r.rev_id\n",
-    "WHERE ctd.ctd_name IN ('visualeditor', 'wikitext', 'contenttranslation', 'sectiontranslation')\n",
-    "GROUP BY ctd.ctd_name\n",
-    "ORDER BY edit_count DESC;\n",
-    "\"\"\"\n",
-    "wikis = ['tewiki', 'hiwiki', 'mlwiki']\n",
-    "all_data = []\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 47,
-   "id": "307385df-6747-4bb4-b11e-d2e90ae2554c",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "🔄 Querying tewiki...\n",
-      "🔄 Querying hiwiki...\n",
-      "🔄 Querying mlwiki...\n"
-     ]
-    },
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 800x500 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 800x500 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 800x500 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "for wiki in wikis:\n",
-    "    print(f\"🔄 Querying {wiki}...\")\n",
-    "    output = connect_and_query(wiki, query)\n",
-    "    if output:\n",
-    "        df = pd.DataFrame(output, columns=['edit_tool', 'edit_count'])\n",
-    "        df['wiki'] = wiki\n",
-    "        all_data.append(df)\n",
-    "    else:\n",
-    "        print(f\"⚠️ No data from {wiki}\")\n",
-    "\n",
-    "# Combine all wiki data\n",
-    "if all_data:\n",
-    "    combined_df = pd.concat(all_data, ignore_index=True)\n",
-    "\n",
-    "    # Plot histogram for each wiki\n",
-    "    for wiki in wikis:\n",
-    "        temp = combined_df[combined_df['wiki'] == wiki]\n",
-    "        plt.figure(figsize=(8, 5))\n",
-    "        plt.bar(temp['edit_tool'], temp['edit_count'], color='skyblue')\n",
-    "        plt.title(f'Histogram: Edit Tool Usage - {wiki}')\n",
-    "        plt.xlabel('Edit Tool')\n",
-    "        plt.ylabel('Edit Count')\n",
-    "        plt.xticks(rotation=30)\n",
-    "        plt.grid(axis='y', linestyle='--', alpha=0.7)\n",
-    "        plt.tight_layout()\n",
-    "        plt.show()\n",
-    "else:\n",
-    "    print(\"❌ No data available to plot.\")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "b340406a-117e-4700-b453-0985cff65349",
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "748770b6-3a6e-4958-b3e8-80b6dfeb79be",
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.12.3"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 5
-}

From 2c9d4f210a6c430c4c7a67a23e0cceb1281760cd Mon Sep 17 00:00:00 2001
From: Mohan1503 <bvmr2003@gmail.com>
Date: Tue, 5 Aug 2025 09:35:33 +0530
Subject: [PATCH 3/3] Add files via upload

---
 notebooks/notebook-mohan (1).ipynb | 833 +++++++++++++++++++++++++++++
 1 file changed, 833 insertions(+)
 create mode 100644 notebooks/notebook-mohan (1).ipynb

diff --git a/notebooks/notebook-mohan (1).ipynb b/notebooks/notebook-mohan (1).ipynb
new file mode 100644
index 0000000..51c62ca
--- /dev/null
+++ b/notebooks/notebook-mohan (1).ipynb	
@@ -0,0 +1,833 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "2990c8b4-2011-405c-98f5-b8b27c784257",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import pandas as pd\n",
+    "import pymysql\n",
+    "import matplotlib.pyplot as plt\n",
+    "import numpy as np\n",
+    "import warnings\n",
+    "import requests"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "id": "f6fff011-f175-4cf9-b6ad-13fad1e81ce6",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "warnings.filterwarnings('ignore')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "id": "b07b16ae-883f-411b-8b3b-0355193608aa",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# function to connect to wiki_dbs and query\n",
+    "def connect_and_query(wiki_name, query, cnf_path = \"/home/paws/.my.cnf\"):\n",
+    "    \n",
+    "    conn = pymysql.connect(host = wiki_name + '.analytics.db.svc.wikimedia.cloud',\n",
+    "                           read_default_file = cnf_path,\n",
+    "                           database = wiki_name + '_p')\n",
+    "    \n",
+    "    with conn.cursor() as cur:\n",
+    "        cur.execute(query)\n",
+    "        data = cur.fetchall()\n",
+    "    \n",
+    "    conn.close()\n",
+    "    return data"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "id": "751f83e6-9034-4058-a3fe-66065360084c",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "wikis = ['tewiki', 'hiwiki', 'mlwiki']\n",
+    "all_dfs = []"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "84da38ec-b913-4182-aa19-5f3e5eb7b339",
+   "metadata": {},
+   "source": [
+    "**Proportion of new users activated (last 30 days)**"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "90eed4da-eebd-4d21-99d6-4f8e76f36622",
+   "metadata": {},
+   "source": [
+    "**count of the users who edit in last 30 days \n",
+    "at least 1 edit \n",
+    "at least 5 edits**"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 30,
+   "id": "6e7b405c-356a-4b16-9bbf-b18c7f9425f2",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Querying tewiki...\n",
+      "Querying hiwiki...\n",
+      "Querying mlwiki...\n",
+      "Activation metrics by wiki:\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>wiki</th>\n",
+       "      <th>total_new_users</th>\n",
+       "      <th>new_users_with_1_edit</th>\n",
+       "      <th>new_users_with_5_edits</th>\n",
+       "      <th>activation_rate_1_edit_percent</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>tewiki</td>\n",
+       "      <td>497</td>\n",
+       "      <td>45</td>\n",
+       "      <td>7</td>\n",
+       "      <td>9.05</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>hiwiki</td>\n",
+       "      <td>4306</td>\n",
+       "      <td>1261</td>\n",
+       "      <td>92</td>\n",
+       "      <td>29.28</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>mlwiki</td>\n",
+       "      <td>553</td>\n",
+       "      <td>49</td>\n",
+       "      <td>3</td>\n",
+       "      <td>8.86</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "     wiki  total_new_users new_users_with_1_edit new_users_with_5_edits  \\\n",
+       "0  tewiki              497                    45                      7   \n",
+       "1  hiwiki             4306                  1261                     92   \n",
+       "2  mlwiki              553                    49                      3   \n",
+       "\n",
+       "  activation_rate_1_edit_percent  \n",
+       "0                           9.05  \n",
+       "1                          29.28  \n",
+       "2                           8.86  "
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 800x500 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "import pandas as pd\n",
+    "import pymysql\n",
+    "import matplotlib.pyplot as plt\n",
+    "import warnings\n",
+    "\n",
+    "# Suppress warnings\n",
+    "warnings.filterwarnings(\"ignore\")\n",
+    "\n",
+    "# SQL query for new user activation metrics\n",
+    "query = \"\"\"\n",
+    "WITH new_user_edit_counts AS (\n",
+    "    SELECT \n",
+    "        u.user_id,\n",
+    "        u.user_registration,\n",
+    "        COALESCE(COUNT(r.rev_id), 0) AS edit_count\n",
+    "    FROM user u\n",
+    "    LEFT JOIN actor a ON u.user_id = a.actor_user\n",
+    "    LEFT JOIN revision r ON a.actor_id = r.rev_actor\n",
+    "    WHERE u.user_registration >= NOW() - INTERVAL 30 DAY\n",
+    "    GROUP BY u.user_id, u.user_registration\n",
+    ")\n",
+    "SELECT \n",
+    "    COUNT(*) AS total_new_users,\n",
+    "    SUM(CASE WHEN edit_count >= 1 THEN 1 ELSE 0 END) AS new_users_with_1_edit,\n",
+    "    SUM(CASE WHEN edit_count >= 5 THEN 1 ELSE 0 END) AS new_users_with_5_edits,\n",
+    "    ROUND(\n",
+    "        (SUM(CASE WHEN edit_count >= 1 THEN 1 ELSE 0 END) * 100.0) / COUNT(*), \n",
+    "        2\n",
+    "    ) AS activation_rate_1_edit_percent\n",
+    "FROM new_user_edit_counts;\n",
+    "\"\"\"\n",
+    "\n",
+    "# Wikis to query\n",
+    "wikis = ['tewiki','hiwiki', 'mlwiki']\n",
+    "results = []\n",
+    "\n",
+    "for wiki in wikis:\n",
+    "    print(f\"Querying {wiki}...\")\n",
+    "    output = connect_and_query(wiki, query)\n",
+    "    \n",
+    "    if output:\n",
+    "        row = list(output[0])\n",
+    "        row.insert(0, wiki)\n",
+    "        results.append(row)\n",
+    "    else:\n",
+    "        print(f\"No data returned from {wiki}\")\n",
+    "\n",
+    "# Plot if data is available\n",
+    "if results:\n",
+    "    df = pd.DataFrame(results, columns=[\n",
+    "        'wiki',\n",
+    "        'total_new_users',\n",
+    "        'new_users_with_1_edit',\n",
+    "        'new_users_with_5_edits',\n",
+    "        'activation_rate_1_edit_percent'\n",
+    "    ])\n",
+    "\n",
+    "    print(\"Activation metrics by wiki:\")\n",
+    "    display(df)  # or use print(df) outside notebooks\n",
+    "\n",
+    "    # Plot activation rate bar chart\n",
+    "    plt.figure(figsize=(8, 5))\n",
+    "    bars = plt.bar(df['wiki'], df['activation_rate_1_edit_percent'],\n",
+    "                   color='mediumseagreen', edgecolor='black', width=0.5)\n",
+    "\n",
+    "    # Add value labels above bars\n",
+    "    for bar in bars:\n",
+    "        height = bar.get_height()\n",
+    "        plt.text(bar.get_x() + bar.get_width()/2, height + 1,\n",
+    "                 f'{height:.2f}%', ha='center', va='bottom', fontsize=11, fontweight='bold')\n",
+    "\n",
+    "    plt.title('Activation Rate (1+ Edits) in Last 30 Days', fontsize=14, weight='bold')\n",
+    "    plt.xlabel('Wiki', fontsize=12)\n",
+    "    plt.ylabel('Activation Rate (%)', fontsize=12)\n",
+    "    plt.ylim(0, 100)\n",
+    "    plt.grid(axis='y', linestyle='--', alpha=0.6)\n",
+    "    plt.tight_layout()\n",
+    "    plt.show()\n",
+    "else:\n",
+    "    print(\"No activation data to display.\")\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "77e073a7-003c-4098-85ca-17fe1cdce5a0",
+   "metadata": {},
+   "source": [
+    "**top edited content pages for the selected time range**"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "id": "3268bcd5-7ab1-4bfa-a8c1-63994f7cc42c",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Define SQL query to get the top 10 most edited pages in main namespace (namespace 0)\n",
+    "# Grouped by edit date and page, ordered by most edits\n",
+    "query = \"\"\"\n",
+    "SELECT \n",
+    "    DATE(r.rev_timestamp) AS edit_date,\n",
+    "    p.page_id, \n",
+    "    p.page_title, \n",
+    "    COUNT(DISTINCT r.rev_id) AS edit_count\n",
+    "FROM revision r\n",
+    "JOIN page p ON r.rev_page = p.page_id\n",
+    "WHERE p.page_namespace = 0\n",
+    "GROUP BY DATE(r.rev_timestamp), p.page_id, p.page_title\n",
+    "ORDER BY edit_count DESC\n",
+    "LIMIT 10;\n",
+    "\"\"\"\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "id": "2f7f581f-e614-42d2-9268-2d89e56261e1",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Import necessary Python libraries\n",
+    "import pandas as pd\n",
+    "from IPython.display import display, HTML\n",
+    "\n",
+    "# Note: Ensure you have a function like `connect_and_query(wiki, query)` defined\n",
+    "# which handles database connection and returns results as a list of tuples\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "id": "d1fca6a7-86ca-41e6-83c6-bcb02d65d10b",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Querying data for tewiki...\n",
+      "Showing top edited pages for tewiki\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<h3>TEWIKI – Top 10 Edited Pages</h3>"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th>edit_date</th>\n",
+       "      <th>page_title</th>\n",
+       "      <th>edit_count</th>\n",
+       "      <th>article_link</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <td>2015-10-20</td>\n",
+       "      <td>భారతదేశ_ప్రయాణీకుల_రైళ్లు_జాబితా</td>\n",
+       "      <td>435</td>\n",
+       "      <td><a href='https://te.wikipedia.org/wiki/భారతదేశ_ప్రయాణీకుల_రైళ్లు_జాబితా' target='_blank'>View</a></td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <td>2019-01-04</td>\n",
+       "      <td>భారతీయ_రైల్వే_స్టేషన్ల_జాబితా</td>\n",
+       "      <td>340</td>\n",
+       "      <td><a href='https://te.wikipedia.org/wiki/భారతీయ_రైల్వే_స్టేషన్ల_జాబితా' target='_blank'>View</a></td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <td>2018-06-25</td>\n",
+       "      <td>భారతీయ_రైల్వే_స్టేషన్ల_జాబితా</td>\n",
+       "      <td>311</td>\n",
+       "      <td><a href='https://te.wikipedia.org/wiki/భారతీయ_రైల్వే_స్టేషన్ల_జాబితా' target='_blank'>View</a></td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <td>2017-06-08</td>\n",
+       "      <td>భారతీయ_చక్రవర్తుల_జాబితా</td>\n",
+       "      <td>309</td>\n",
+       "      <td><a href='https://te.wikipedia.org/wiki/భారతీయ_చక్రవర్తుల_జాబితా' target='_blank'>View</a></td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <td>2015-10-18</td>\n",
+       "      <td>భారతదేశ_ప్రయాణీకుల_రైళ్లు_జాబితా</td>\n",
+       "      <td>307</td>\n",
+       "      <td><a href='https://te.wikipedia.org/wiki/భారతదేశ_ప్రయాణీకుల_రైళ్లు_జాబితా' target='_blank'>View</a></td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <td>2015-10-21</td>\n",
+       "      <td>భారతదేశ_ప్రయాణీకుల_రైళ్లు_జాబితా</td>\n",
+       "      <td>297</td>\n",
+       "      <td><a href='https://te.wikipedia.org/wiki/భారతదేశ_ప్రయాణీకుల_రైళ్లు_జాబితా' target='_blank'>View</a></td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <td>2015-10-16</td>\n",
+       "      <td>భారతదేశ_ప్రయాణీకుల_రైళ్లు_జాబితా</td>\n",
+       "      <td>292</td>\n",
+       "      <td><a href='https://te.wikipedia.org/wiki/భారతదేశ_ప్రయాణీకుల_రైళ్లు_జాబితా' target='_blank'>View</a></td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <td>2019-01-19</td>\n",
+       "      <td>భారతీయ_రైల్వే_స్టేషన్ల_జాబితా</td>\n",
+       "      <td>280</td>\n",
+       "      <td><a href='https://te.wikipedia.org/wiki/భారతీయ_రైల్వే_స్టేషన్ల_జాబితా' target='_blank'>View</a></td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <td>2018-06-13</td>\n",
+       "      <td>భారతీయ_రైల్వే_స్టేషన్ల_జాబితా</td>\n",
+       "      <td>276</td>\n",
+       "      <td><a href='https://te.wikipedia.org/wiki/భారతీయ_రైల్వే_స్టేషన్ల_జాబితా' target='_blank'>View</a></td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <td>2024-12-03</td>\n",
+       "      <td>భక్త్_బులంద్_షా</td>\n",
+       "      <td>261</td>\n",
+       "      <td><a href='https://te.wikipedia.org/wiki/భక్త్_బులంద్_షా' target='_blank'>View</a></td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Querying data for hiwiki...\n",
+      "Showing top edited pages for hiwiki\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<h3>HIWIKI – Top 10 Edited Pages</h3>"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th>edit_date</th>\n",
+       "      <th>page_title</th>\n",
+       "      <th>edit_count</th>\n",
+       "      <th>article_link</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <td>2016-07-15</td>\n",
+       "      <td>2016_नीस_हमला</td>\n",
+       "      <td>377</td>\n",
+       "      <td><a href='https://hi.wikipedia.org/wiki/2016_नीस_हमला' target='_blank'>View</a></td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <td>2023-05-09</td>\n",
+       "      <td>सुंदर_पिचाई</td>\n",
+       "      <td>219</td>\n",
+       "      <td><a href='https://hi.wikipedia.org/wiki/सुंदर_पिचाई' target='_blank'>View</a></td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <td>2021-08-30</td>\n",
+       "      <td>आल्हा</td>\n",
+       "      <td>217</td>\n",
+       "      <td><a href='https://hi.wikipedia.org/wiki/आल्हा' target='_blank'>View</a></td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <td>2023-04-19</td>\n",
+       "      <td>डीडी_न्यूज़</td>\n",
+       "      <td>216</td>\n",
+       "      <td><a href='https://hi.wikipedia.org/wiki/डीडी_न्यूज़' target='_blank'>View</a></td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <td>2010-06-17</td>\n",
+       "      <td>राशि_और_रत्न</td>\n",
+       "      <td>204</td>\n",
+       "      <td><a href='https://hi.wikipedia.org/wiki/राशि_और_रत्न' target='_blank'>View</a></td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <td>2021-08-30</td>\n",
+       "      <td>आल्ह-खण्ड</td>\n",
+       "      <td>198</td>\n",
+       "      <td><a href='https://hi.wikipedia.org/wiki/आल्ह-खण्ड' target='_blank'>View</a></td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <td>2021-08-31</td>\n",
+       "      <td>आल्ह-खण्ड</td>\n",
+       "      <td>195</td>\n",
+       "      <td><a href='https://hi.wikipedia.org/wiki/आल्ह-खण्ड' target='_blank'>View</a></td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <td>2021-08-31</td>\n",
+       "      <td>आल्हा</td>\n",
+       "      <td>191</td>\n",
+       "      <td><a href='https://hi.wikipedia.org/wiki/आल्हा' target='_blank'>View</a></td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <td>2016-07-14</td>\n",
+       "      <td>2016_नीस_हमला</td>\n",
+       "      <td>189</td>\n",
+       "      <td><a href='https://hi.wikipedia.org/wiki/2016_नीस_हमला' target='_blank'>View</a></td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <td>2021-08-31</td>\n",
+       "      <td>ऊदल</td>\n",
+       "      <td>185</td>\n",
+       "      <td><a href='https://hi.wikipedia.org/wiki/ऊदल' target='_blank'>View</a></td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Querying data for mlwiki...\n",
+      "Showing top edited pages for mlwiki\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<h3>MLWIKI – Top 10 Edited Pages</h3>"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th>edit_date</th>\n",
+       "      <th>page_title</th>\n",
+       "      <th>edit_count</th>\n",
+       "      <th>article_link</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <td>2016-05-19</td>\n",
+       "      <td>പതിനാലാം_കേരളനിയമസഭ</td>\n",
+       "      <td>179</td>\n",
+       "      <td><a href='https://ml.wikipedia.org/wiki/പതിനാലാം_കേരളനിയമസഭ' target='_blank'>View</a></td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <td>2014-06-06</td>\n",
+       "      <td>ചൈനയുടെ_ചരിത്രം</td>\n",
+       "      <td>175</td>\n",
+       "      <td><a href='https://ml.wikipedia.org/wiki/ചൈനയുടെ_ചരിത്രം' target='_blank'>View</a></td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <td>2016-09-02</td>\n",
+       "      <td>ബ്ലാക്ക്_ജൂലൈ</td>\n",
+       "      <td>151</td>\n",
+       "      <td><a href='https://ml.wikipedia.org/wiki/ബ്ലാക്ക്_ജൂലൈ' target='_blank'>View</a></td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <td>2011-08-06</td>\n",
+       "      <td>എമിലി_ഡിക്കിൻസൺ</td>\n",
+       "      <td>150</td>\n",
+       "      <td><a href='https://ml.wikipedia.org/wiki/എമിലി_ഡിക്കിൻസൺ' target='_blank'>View</a></td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <td>2017-01-25</td>\n",
+       "      <td>കേരളത്തിലെ_ചിത്രശലഭങ്ങൾ</td>\n",
+       "      <td>137</td>\n",
+       "      <td><a href='https://ml.wikipedia.org/wiki/കേരളത്തിലെ_ചിത്രശലഭങ്ങൾ' target='_blank'>View</a></td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <td>2012-12-26</td>\n",
+       "      <td>സൗദി_അറേബ്യ</td>\n",
+       "      <td>134</td>\n",
+       "      <td><a href='https://ml.wikipedia.org/wiki/സൗദി_അറേബ്യ' target='_blank'>View</a></td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <td>2015-09-24</td>\n",
+       "      <td>അങ്കമാലിയിലെ_മാർ_അബ്രാഹം</td>\n",
+       "      <td>134</td>\n",
+       "      <td><a href='https://ml.wikipedia.org/wiki/അങ്കമാലിയിലെ_മാർ_അബ്രാഹം' target='_blank'>View</a></td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <td>2016-12-20</td>\n",
+       "      <td>കേരളത്തിലെ_തുമ്പികൾ</td>\n",
+       "      <td>133</td>\n",
+       "      <td><a href='https://ml.wikipedia.org/wiki/കേരളത്തിലെ_തുമ്പികൾ' target='_blank'>View</a></td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <td>2012-10-03</td>\n",
+       "      <td>സൗദി_അറേബ്യ</td>\n",
+       "      <td>129</td>\n",
+       "      <td><a href='https://ml.wikipedia.org/wiki/സൗദി_അറേബ്യ' target='_blank'>View</a></td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <td>2012-12-25</td>\n",
+       "      <td>സൗദി_അറേബ്യ</td>\n",
+       "      <td>128</td>\n",
+       "      <td><a href='https://ml.wikipedia.org/wiki/സൗദി_അറേബ്യ' target='_blank'>View</a></td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Loop through each wiki in the list and run the query\n",
+    "for wiki in wikis:\n",
+    "    print(f\"Querying data for {wiki}...\")\n",
+    "    \n",
+    "    # Execute query and get results\n",
+    "    output = connect_and_query(wiki, query)\n",
+    "    \n",
+    "    if output:\n",
+    "        # Convert raw query results to DataFrame\n",
+    "        df = pd.DataFrame(output, columns=['edit_date', 'page_id', 'page_title', 'edit_count'])\n",
+    "        \n",
+    "        # Decode byte strings (common with multilingual wikis) into readable text\n",
+    "        df['page_title'] = df['page_title'].apply(lambda x: x.decode('utf-8') if isinstance(x, bytes) else x)\n",
+    "\n",
+    "        # Create full Wikipedia page URLs\n",
+    "        df['page_url'] = df.apply(\n",
+    "            lambda row: f\"https://{wiki.replace('wiki','')}.wikipedia.org/wiki/{str(row['page_title']).replace(' ', '_')}\",\n",
+    "            axis=1\n",
+    "        )\n",
+    "\n",
+    "        # Generate clickable HTML links to the articles\n",
+    "        df['article_link'] = df.apply(\n",
+    "            lambda row: f\"<a href='{row['page_url']}' target='_blank'>View</a>\",\n",
+    "            axis=1\n",
+    "        )\n",
+    "\n",
+    "        # Display a heading and the table in notebook or app\n",
+    "        print(f\"Showing top edited pages for {wiki}\")\n",
+    "        display(HTML(f\"<h3>{wiki.upper()} – Top 10 Edited Pages</h3>\"))\n",
+    "        display(HTML(df[['edit_date', 'page_title', 'edit_count', 'article_link']].to_html(escape=False, index=False)))\n",
+    "\n",
+    "    else:\n",
+    "        print(f\"No data retrieved for {wiki}\")\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "7979aa93-ac6e-4875-b796-0a615936f7df",
+   "metadata": {},
+   "source": [
+    "**\"- VE vs. wikitext:- Content Translation ,Section Translation\"**"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "id": "9c4811f1-b4f4-4021-9dba-454d002ec55b",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "\n",
+    "# SQL query for  Edit counts by tool \n",
+    "query = \"\"\"\n",
+    "SELECT \n",
+    "    ctd.ctd_name AS edit_tool,\n",
+    "    COUNT(*) AS edit_count\n",
+    "FROM change_tag ct\n",
+    "JOIN change_tag_def ctd \n",
+    "    ON ct.ct_tag_id = ctd.ctd_id  \n",
+    "JOIN revision r \n",
+    "    ON ct.ct_rev_id = r.rev_id\n",
+    "WHERE ctd.ctd_name IN ('visualeditor', 'wikitext', 'contenttranslation', 'sectiontranslation')\n",
+    "GROUP BY ctd.ctd_name\n",
+    "ORDER BY edit_count DESC;\n",
+    "\"\"\"\n",
+    "wikis = ['tewiki', 'hiwiki', 'mlwiki']\n",
+    "all_data = []\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 26,
+   "id": "307385df-6747-4bb4-b11e-d2e90ae2554c",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Querying tewiki...\n",
+      "Querying hiwiki...\n",
+      "Querying mlwiki...\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1200x700 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1200x700 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1200x700 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "i\n",
+    "# Fetch and combine data\n",
+    "for wiki in wikis:\n",
+    "    print(f\"Querying {wiki}...\")\n",
+    "    output = connect_and_query(wiki, query)\n",
+    "\n",
+    "    if output:\n",
+    "        df = pd.DataFrame(output, columns=['edit_tool', 'edit_count'])\n",
+    "        df['wiki'] = wiki\n",
+    "        all_data.append(df)\n",
+    "    else:\n",
+    "        print(f\"No data from {wiki}\")\n",
+    "\n",
+    "# Plot each wiki\n",
+    "if all_data:\n",
+    "    combined_df = pd.concat(all_data, ignore_index=True)\n",
+    "    max_count = combined_df['edit_count'].max()\n",
+    "\n",
+    "    for wiki in wikis:\n",
+    "        temp = combined_df[combined_df['wiki'] == wiki]\n",
+    "\n",
+    "        # 🔸 Larger figure size\n",
+    "        fig, ax = plt.subplots(figsize=(12, 7))\n",
+    "\n",
+    "        # 🔸 Bar chart with thinner bars\n",
+    "        bars = ax.bar(temp['edit_tool'], temp['edit_count'], \n",
+    "                      color='#4da6ff', edgecolor='black', width=0.4)\n",
+    "\n",
+    "        # 🔸 Annotate each bar with comma-separated labels\n",
+    "        for bar in bars:\n",
+    "            height = bar.get_height()\n",
+    "            ax.annotate(f'{height:,}', \n",
+    "                        xy=(bar.get_x() + bar.get_width() / 2, height),\n",
+    "                        xytext=(0, 5),\n",
+    "                        textcoords='offset points',\n",
+    "                        ha='center', va='bottom',\n",
+    "                        fontsize=11, fontweight='bold')\n",
+    "\n",
+    "        # Axis labels, title, and styling\n",
+    "        ax.set_title(f\"Edit Tool Usage on {wiki.upper()}\", fontsize=16, weight='bold')\n",
+    "        ax.set_xlabel(\"Edit Tool\", fontsize=13)\n",
+    "        ax.set_ylabel(\"Edit Count\", fontsize=13)\n",
+    "        ax.set_ylim(0, max_count + max_count * 0.05)\n",
+    "        ax.grid(axis='y', linestyle='--', alpha=0.6)\n",
+    "        ax.set_facecolor('#f9f9f9')\n",
+    "\n",
+    "        plt.xticks(rotation=30, fontsize=11)\n",
+    "        plt.yticks(fontsize=11)\n",
+    "        plt.tight_layout()\n",
+    "        plt.show()\n",
+    "else:\n",
+    "    print(\"No data available to plot.\")\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "b340406a-117e-4700-b453-0985cff65349",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "748770b6-3a6e-4958-b3e8-80b6dfeb79be",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.12.3"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}