Geographical Time Analysis.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "c61d0dc1-2245-4e76-b0dd-495c05422cf9",
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "import shutil\n",
    "import pandas as pd\n",
    "pd.set_option('display.max_colwidth', None)\n",
    "from pyspark.sql.functions import *\n",
    "from pyspark.sql.types import *\n",
    "import numpy as np\n",
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "913877d7-c600-43b9-85b5-d6f3d9f6db4b",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Requirement already satisfied: geopy in /opt/conda/miniconda3/lib/python3.8/site-packages (2.3.0)\n",
      "Requirement already satisfied: geographiclib<3,>=1.52 in /opt/conda/miniconda3/lib/python3.8/site-packages (from geopy) (2.0)\n",
      "\u001b[33mWARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv\u001b[0m\u001b[33m\n",
      "\u001b[0m"
     ]
    }
   ],
   "source": [
    "!pip install geopy\n",
    "from geopy.geocoders import Nominatim\n",
    "loc = Nominatim(user_agent=\"GetLoc\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "04efe6ce-d941-4a47-903f-16f164d65127",
   "metadata": {},
   "outputs": [],
   "source": [
    "from google.cloud import storage"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "43df640f-5664-441d-aa24-f988a4d1d743",
   "metadata": {},
   "outputs": [],
   "source": [
    "spark = SparkSession.builder.getOrCreate()\n",
    "spark.conf.set(\"spark.sql.repl.eagerEval.enabled\",True) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "69cc0cb2-d805-4873-b51c-3d804e3d7089",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "23/03/09 06:21:26 WARN org.apache.spark.sql.catalyst.util.package: Truncated the string representation of a plan since it was too large. This behavior can be adjusted by setting 'spark.sql.debug.maxToStringFields'.\n"
     ]
    }
   ],
   "source": [
    "#twt_df=spark.read.parquet('gs://msca-bdp-students-bucket/shared_data/kishorkumarreddy/filtered_files_for_analysis_1')\n",
    "twt_df=spark.read.parquet('gs://msca-bdp-students-bucket/shared_data/kishorkumarreddy/filtered_data_for_analysis_1')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "dd37ce47-0f98-45cc-a5bc-971f00cbbfee",
   "metadata": {},
   "outputs": [],
   "source": [
    "twt_df.createOrReplaceTempView(\"twt_df\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "498b13d6-1112-48a8-95bf-96c0703491f9",
   "metadata": {},
   "outputs": [],
   "source": [
    "query = '''\n",
    "select created_at, coordinates.coordinates as cr,\n",
    "user.screen_name as handle_name,\n",
    "user.description as desc,\n",
    "user.location as user_location,\n",
    "user.verified as is_verified\n",
    "from twt_df'''\n",
    "tw_geo = spark.sql(query)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "e986a12f-2330-4ab6-83f4-7dc013435438",
   "metadata": {},
   "outputs": [],
   "source": [
    "tw_geo.createOrReplaceTempView(\"tw_geo\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "3db563bc-5064-415f-b357-4dc64ac06bc4",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table border='1'>\n",
       "<tr><th>key</th><th>value</th></tr>\n",
       "<tr><td>spark.sql.legacy....</td><td>LEGACY</td></tr>\n",
       "</table>\n"
      ],
      "text/plain": [
       "+--------------------+------+\n",
       "|                 key| value|\n",
       "+--------------------+------+\n",
       "|spark.sql.legacy....|LEGACY|\n",
       "+--------------------+------+"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "spark.sql(\"set spark.sql.legacy.timeParserPolicy=LEGACY\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "feac0a95-1d2a-4915-8e89-c9684aac2a05",
   "metadata": {},
   "outputs": [],
   "source": [
    "tw_geo_a = tw_geo.select(col(\"user_location\"),col(\"created_at\"),to_date(col(\"created_at\"),'EEE MMM d HH:mm:ss z yyyy').alias(\"date\"))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "5e8f16c0-92dd-4b4e-8e4b-537b0d6aece9",
   "metadata": {},
   "outputs": [],
   "source": [
    "tw_geo_a.createOrReplaceTempView(\"tw_geo_a\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "68c28d87-3d5c-47a8-89ff-46012fc03a18",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "                                                                                \r"
     ]
    },
    {
     "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>date</th>\n",
       "      <th>user_location</th>\n",
       "      <th>count(1)</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2022-09-18</td>\n",
       "      <td>India</td>\n",
       "      <td>647</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2022-05-16</td>\n",
       "      <td>South Africa</td>\n",
       "      <td>305</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2022-11-03</td>\n",
       "      <td>United Sates</td>\n",
       "      <td>259</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2022-05-16</td>\n",
       "      <td>Johannesburg, South Africa</td>\n",
       "      <td>244</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2022-09-14</td>\n",
       "      <td>Patna, India</td>\n",
       "      <td>208</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>2022-09-18</td>\n",
       "      <td>New Delhi, India</td>\n",
       "      <td>202</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>2022-05-17</td>\n",
       "      <td>South Africa</td>\n",
       "      <td>200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>2022-09-14</td>\n",
       "      <td>Gaya, India</td>\n",
       "      <td>185</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>2022-09-10</td>\n",
       "      <td>Michigan, USA</td>\n",
       "      <td>184</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>2022-10-02</td>\n",
       "      <td>🗻</td>\n",
       "      <td>181</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         date               user_location  count(1)\n",
       "0  2022-09-18                       India       647\n",
       "1  2022-05-16                South Africa       305\n",
       "2  2022-11-03                United Sates       259\n",
       "3  2022-05-16  Johannesburg, South Africa       244\n",
       "4  2022-09-14                Patna, India       208\n",
       "5  2022-09-18            New Delhi, India       202\n",
       "6  2022-05-17                South Africa       200\n",
       "7  2022-09-14                 Gaya, India       185\n",
       "8  2022-09-10               Michigan, USA       184\n",
       "9  2022-10-02                           🗻       181"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "spark.sql(\"select date, user_location, count(*) from tw_geo_a where user_location is not null group by date, user_location order by count(*) desc limit 10\").toPandas()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "105526bc-7317-4cbe-b3dd-1219310bb336",
   "metadata": {},
   "outputs": [],
   "source": [
    "tw_geo.createOrReplaceTempView(\"tw_geo\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "30e8dfea-4240-4f0b-9c02-aadab4fafd74",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "                                                                                \r"
     ]
    }
   ],
   "source": [
    "td = spark.sql('select user_location,count(*) from tw_geo group by user_location order by count(*) desc limit 200').toPandas()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "5ff9994d-ffc6-4e94-b2b2-5e213242fb23",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/tmp/ipykernel_18805/3657135711.py:6: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  td['country'][i] = getLoc.address.split(',')[-1]\n"
     ]
    }
   ],
   "source": [
    "td['country'] = ''\n",
    "for i in range(len(td)):\n",
    "    if td['user_location'][i] != None:\n",
    "        getLoc = loc.geocode(td['user_location'][i])\n",
    "        if getLoc != None:\n",
    "            td['country'][i] = getLoc.address.split(',')[-1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "7dbe72ea-032a-4061-92e3-c64d09a04501",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/tmp/ipykernel_18805/1624457845.py:2: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  td['country'][i] = td['country'][i].lstrip()\n"
     ]
    }
   ],
   "source": [
    "for i in range(0,len(td)):\n",
    "    td['country'][i] = td['country'][i].lstrip()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "2164b86c-ed02-4f4c-bfb9-511261f16211",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_country = td.groupby(['country']).sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "2bcb52c2-a309-42f0-a15c-21aab919b9df",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_country.reset_index(inplace=True)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "7800029b-8c6e-4d64-a977-10c3594670ab",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_country.drop([0],inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "4a058d1f-7ce8-4fa9-a428-d6199689b094",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/tmp/ipykernel_18805/905291699.py:7: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  df_country['country_latitude'][i] = getLoc.latitude\n",
      "/tmp/ipykernel_18805/905291699.py:8: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  df_country['country_longitude'][i] = getLoc.longitude\n"
     ]
    }
   ],
   "source": [
    "df_country['country_latitude'] = 0.0\n",
    "df_country['country_longitude'] = 0.0\n",
    "for i in range(1,len(df_country)):\n",
    "    if df_country['country'][i] != None:\n",
    "        getLoc = loc.geocode(df_country['country'][i])\n",
    "        if getLoc != None:\n",
    "            df_country['country_latitude'][i] = getLoc.latitude\n",
    "            df_country['country_longitude'][i] = getLoc.longitude"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "a98f585d-06c4-45ea-b51d-8058dca5c708",
   "metadata": {},
   "outputs": [],
   "source": [
    "from shapely.geometry import Point\n",
    "import geopandas as gpd\n",
    "from geopandas import GeoDataFrame"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "11da920a-6974-415e-915d-6765708ee867",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "17779431-9bd2-4245-9106-eef3d9c125c4",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "ERROR 1: PROJ: proj_create_from_database: Open of /opt/conda/miniconda3/share/proj failed\n",
      "No handles with labels found to put in legend.\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 800x600 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import geopandas as gpd\n",
    "\n",
    "# initialize an axis\n",
    "fig, ax = plt.subplots(figsize=(8,6))\n",
    "\n",
    "# plot map on axis\n",
    "countries = gpd.read_file(gpd.datasets.get_path(\"naturalearth_lowres\"))\n",
    "countries.plot(color='lightblue', alpha=0.5, edgecolor='black', ax=ax)\n",
    "\n",
    "# plot points\n",
    "df_country.plot(x=\"country_longitude\", y=\"country_latitude\", kind=\"scatter\", \n",
    "         c=\"count(1)\", colormap=\"magma\", alpha=0.7,\n",
    "         ax=ax)\n",
    "\n",
    "# add grid\n",
    "ax.grid(b=True, alpha=0.5)\n",
    "\n",
    "# set title and legend\n",
    "plt.xlabel('latitude')\n",
    "plt.ylabel('longitude')\n",
    "plt.title('Count of Twitterers by Country')\n",
    "plt.legend(loc=2, prop={'size': 6})\n",
    "\n",
    "# show plot\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "31b56ef3-f3c5-4dba-91a4-96df36fad12b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>country</th>\n",
       "      <th>count(1)</th>\n",
       "      <th>country_latitude</th>\n",
       "      <th>country_longitude</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Africa</td>\n",
       "      <td>342</td>\n",
       "      <td>11.502434</td>\n",
       "      <td>17.757812</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Australia</td>\n",
       "      <td>2027</td>\n",
       "      <td>-24.776109</td>\n",
       "      <td>134.755000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Canada</td>\n",
       "      <td>7665</td>\n",
       "      <td>61.066692</td>\n",
       "      <td>-107.991707</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Deutschland</td>\n",
       "      <td>435</td>\n",
       "      <td>51.163818</td>\n",
       "      <td>10.447831</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>España</td>\n",
       "      <td>429</td>\n",
       "      <td>39.326068</td>\n",
       "      <td>-4.837979</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>France</td>\n",
       "      <td>2063</td>\n",
       "      <td>46.603354</td>\n",
       "      <td>1.888334</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Ghana</td>\n",
       "      <td>1146</td>\n",
       "      <td>8.030028</td>\n",
       "      <td>-1.080027</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>India</td>\n",
       "      <td>32762</td>\n",
       "      <td>22.351115</td>\n",
       "      <td>78.667743</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Italia</td>\n",
       "      <td>534</td>\n",
       "      <td>42.638426</td>\n",
       "      <td>12.674297</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Kenya</td>\n",
       "      <td>1465</td>\n",
       "      <td>1.441968</td>\n",
       "      <td>38.431398</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Nigeria</td>\n",
       "      <td>3025</td>\n",
       "      <td>9.600036</td>\n",
       "      <td>7.999972</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Philippines</td>\n",
       "      <td>354</td>\n",
       "      <td>12.750349</td>\n",
       "      <td>122.731210</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Singapore</td>\n",
       "      <td>355</td>\n",
       "      <td>1.357107</td>\n",
       "      <td>103.819499</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>South Africa</td>\n",
       "      <td>3889</td>\n",
       "      <td>-28.816624</td>\n",
       "      <td>24.991639</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Uganda</td>\n",
       "      <td>1476</td>\n",
       "      <td>1.533355</td>\n",
       "      <td>32.216658</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>26270</td>\n",
       "      <td>54.702354</td>\n",
       "      <td>-3.276575</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>United States</td>\n",
       "      <td>104696</td>\n",
       "      <td>39.783730</td>\n",
       "      <td>-100.445882</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>Warszawa</td>\n",
       "      <td>743</td>\n",
       "      <td>52.231958</td>\n",
       "      <td>21.006725</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>Éire / Ireland</td>\n",
       "      <td>1296</td>\n",
       "      <td>52.865196</td>\n",
       "      <td>-7.979460</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>Ōu</td>\n",
       "      <td>363</td>\n",
       "      <td>51.000000</td>\n",
       "      <td>10.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>الإمارات العربية المتحدة</td>\n",
       "      <td>418</td>\n",
       "      <td>24.000249</td>\n",
       "      <td>53.999483</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>ایران</td>\n",
       "      <td>364</td>\n",
       "      <td>32.647531</td>\n",
       "      <td>54.564352</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>پاکستان</td>\n",
       "      <td>4243</td>\n",
       "      <td>30.330840</td>\n",
       "      <td>71.247499</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>বাংলাদেশ</td>\n",
       "      <td>486</td>\n",
       "      <td>24.476929</td>\n",
       "      <td>90.293441</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>ශ්‍රී ලංකාව இலங்கை</td>\n",
       "      <td>335</td>\n",
       "      <td>7.555494</td>\n",
       "      <td>80.713785</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>ประเทศไทย</td>\n",
       "      <td>2093</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                     country  count(1)  country_latitude  country_longitude\n",
       "1                     Africa       342         11.502434          17.757812\n",
       "2                  Australia      2027        -24.776109         134.755000\n",
       "3                     Canada      7665         61.066692        -107.991707\n",
       "4                Deutschland       435         51.163818          10.447831\n",
       "5                     España       429         39.326068          -4.837979\n",
       "6                     France      2063         46.603354           1.888334\n",
       "7                      Ghana      1146          8.030028          -1.080027\n",
       "8                      India     32762         22.351115          78.667743\n",
       "9                     Italia       534         42.638426          12.674297\n",
       "10                     Kenya      1465          1.441968          38.431398\n",
       "11                   Nigeria      3025          9.600036           7.999972\n",
       "12               Philippines       354         12.750349         122.731210\n",
       "13                 Singapore       355          1.357107         103.819499\n",
       "14              South Africa      3889        -28.816624          24.991639\n",
       "15                    Uganda      1476          1.533355          32.216658\n",
       "16            United Kingdom     26270         54.702354          -3.276575\n",
       "17             United States    104696         39.783730        -100.445882\n",
       "18                  Warszawa       743         52.231958          21.006725\n",
       "19            Éire / Ireland      1296         52.865196          -7.979460\n",
       "20                        Ōu       363         51.000000          10.000000\n",
       "21  الإمارات العربية المتحدة       418         24.000249          53.999483\n",
       "22                     ایران       364         32.647531          54.564352\n",
       "23                   پاکستان      4243         30.330840          71.247499\n",
       "24                  বাংলাদেশ       486         24.476929          90.293441\n",
       "25        ශ්‍රී ලංකාව இலங்கை       335          7.555494          80.713785\n",
       "26                 ประเทศไทย      2093          0.000000           0.000000"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_country"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "a7161b60-44eb-40d2-8262-05d2cdef7616",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "No handles with labels found to put in legend.\n",
      "/opt/conda/miniconda3/lib/python3.8/site-packages/matplotlib/backends/backend_agg.py:240: RuntimeWarning: Glyph 2476 missing from current font.\n",
      "  font.set_text(s, 0.0, flags=flags)\n",
      "/opt/conda/miniconda3/lib/python3.8/site-packages/matplotlib/backends/backend_agg.py:240: RuntimeWarning: Glyph 2494 missing from current font.\n",
      "  font.set_text(s, 0.0, flags=flags)\n",
      "/opt/conda/miniconda3/lib/python3.8/site-packages/matplotlib/backends/backend_agg.py:240: RuntimeWarning: Glyph 2434 missing from current font.\n",
      "  font.set_text(s, 0.0, flags=flags)\n",
      "/opt/conda/miniconda3/lib/python3.8/site-packages/matplotlib/backends/backend_agg.py:240: RuntimeWarning: Glyph 2482 missing from current font.\n",
      "  font.set_text(s, 0.0, flags=flags)\n",
      "/opt/conda/miniconda3/lib/python3.8/site-packages/matplotlib/backends/backend_agg.py:240: RuntimeWarning: Glyph 2470 missing from current font.\n",
      "  font.set_text(s, 0.0, flags=flags)\n",
      "/opt/conda/miniconda3/lib/python3.8/site-packages/matplotlib/backends/backend_agg.py:240: RuntimeWarning: Glyph 2503 missing from current font.\n",
      "  font.set_text(s, 0.0, flags=flags)\n",
      "/opt/conda/miniconda3/lib/python3.8/site-packages/matplotlib/backends/backend_agg.py:240: RuntimeWarning: Glyph 2486 missing from current font.\n",
      "  font.set_text(s, 0.0, flags=flags)\n",
      "/opt/conda/miniconda3/lib/python3.8/site-packages/matplotlib/backends/backend_agg.py:240: RuntimeWarning: Glyph 3521 missing from current font.\n",
      "  font.set_text(s, 0.0, flags=flags)\n",
      "/opt/conda/miniconda3/lib/python3.8/site-packages/matplotlib/backends/backend_agg.py:240: RuntimeWarning: Glyph 3530 missing from current font.\n",
      "  font.set_text(s, 0.0, flags=flags)\n",
      "/opt/conda/miniconda3/lib/python3.8/site-packages/matplotlib/backends/backend_agg.py:240: RuntimeWarning: Glyph 3515 missing from current font.\n",
      "  font.set_text(s, 0.0, flags=flags)\n",
      "/opt/conda/miniconda3/lib/python3.8/site-packages/matplotlib/backends/backend_agg.py:240: RuntimeWarning: Glyph 3539 missing from current font.\n",
      "  font.set_text(s, 0.0, flags=flags)\n",
      "/opt/conda/miniconda3/lib/python3.8/site-packages/matplotlib/backends/backend_agg.py:240: RuntimeWarning: Glyph 3517 missing from current font.\n",
      "  font.set_text(s, 0.0, flags=flags)\n",
      "/opt/conda/miniconda3/lib/python3.8/site-packages/matplotlib/backends/backend_agg.py:240: RuntimeWarning: Glyph 3458 missing from current font.\n",
      "  font.set_text(s, 0.0, flags=flags)\n",
      "/opt/conda/miniconda3/lib/python3.8/site-packages/matplotlib/backends/backend_agg.py:240: RuntimeWarning: Glyph 3482 missing from current font.\n",
      "  font.set_text(s, 0.0, flags=flags)\n",
      "/opt/conda/miniconda3/lib/python3.8/site-packages/matplotlib/backends/backend_agg.py:240: RuntimeWarning: Glyph 3535 missing from current font.\n",
      "  font.set_text(s, 0.0, flags=flags)\n",
      "/opt/conda/miniconda3/lib/python3.8/site-packages/matplotlib/backends/backend_agg.py:240: RuntimeWarning: Glyph 3520 missing from current font.\n",
      "  font.set_text(s, 0.0, flags=flags)\n",
      "/opt/conda/miniconda3/lib/python3.8/site-packages/matplotlib/backends/backend_agg.py:240: RuntimeWarning: Glyph 2951 missing from current font.\n",
      "  font.set_text(s, 0.0, flags=flags)\n",
      "/opt/conda/miniconda3/lib/python3.8/site-packages/matplotlib/backends/backend_agg.py:240: RuntimeWarning: Glyph 2994 missing from current font.\n",
      "  font.set_text(s, 0.0, flags=flags)\n",
      "/opt/conda/miniconda3/lib/python3.8/site-packages/matplotlib/backends/backend_agg.py:240: RuntimeWarning: Glyph 2969 missing from current font.\n",
      "  font.set_text(s, 0.0, flags=flags)\n",
      "/opt/conda/miniconda3/lib/python3.8/site-packages/matplotlib/backends/backend_agg.py:240: RuntimeWarning: Glyph 3021 missing from current font.\n",
      "  font.set_text(s, 0.0, flags=flags)\n",
      "/opt/conda/miniconda3/lib/python3.8/site-packages/matplotlib/backends/backend_agg.py:240: RuntimeWarning: Glyph 2965 missing from current font.\n",
      "  font.set_text(s, 0.0, flags=flags)\n",
      "/opt/conda/miniconda3/lib/python3.8/site-packages/matplotlib/backends/backend_agg.py:240: RuntimeWarning: Glyph 3016 missing from current font.\n",
      "  font.set_text(s, 0.0, flags=flags)\n",
      "/opt/conda/miniconda3/lib/python3.8/site-packages/matplotlib/backends/backend_agg.py:240: RuntimeWarning: Glyph 3611 missing from current font.\n",
      "  font.set_text(s, 0.0, flags=flags)\n",
      "/opt/conda/miniconda3/lib/python3.8/site-packages/matplotlib/backends/backend_agg.py:240: RuntimeWarning: Glyph 3619 missing from current font.\n",
      "  font.set_text(s, 0.0, flags=flags)\n",
      "/opt/conda/miniconda3/lib/python3.8/site-packages/matplotlib/backends/backend_agg.py:240: RuntimeWarning: Glyph 3632 missing from current font.\n",
      "  font.set_text(s, 0.0, flags=flags)\n",
      "/opt/conda/miniconda3/lib/python3.8/site-packages/matplotlib/backends/backend_agg.py:240: RuntimeWarning: Glyph 3648 missing from current font.\n",
      "  font.set_text(s, 0.0, flags=flags)\n",
      "/opt/conda/miniconda3/lib/python3.8/site-packages/matplotlib/backends/backend_agg.py:240: RuntimeWarning: Glyph 3607 missing from current font.\n",
      "  font.set_text(s, 0.0, flags=flags)\n",
      "/opt/conda/miniconda3/lib/python3.8/site-packages/matplotlib/backends/backend_agg.py:240: RuntimeWarning: Glyph 3624 missing from current font.\n",
      "  font.set_text(s, 0.0, flags=flags)\n",
      "/opt/conda/miniconda3/lib/python3.8/site-packages/matplotlib/backends/backend_agg.py:240: RuntimeWarning: Glyph 3652 missing from current font.\n",
      "  font.set_text(s, 0.0, flags=flags)\n",
      "/opt/conda/miniconda3/lib/python3.8/site-packages/matplotlib/backends/backend_agg.py:240: RuntimeWarning: Glyph 3618 missing from current font.\n",
      "  font.set_text(s, 0.0, flags=flags)\n",
      "/opt/conda/miniconda3/lib/python3.8/site-packages/matplotlib/backends/backend_agg.py:203: RuntimeWarning: Glyph 2476 missing from current font.\n",
      "  font.set_text(s, 0, flags=flags)\n",
      "/opt/conda/miniconda3/lib/python3.8/site-packages/matplotlib/backends/backend_agg.py:203: RuntimeWarning: Glyph 2494 missing from current font.\n",
      "  font.set_text(s, 0, flags=flags)\n",
      "/opt/conda/miniconda3/lib/python3.8/site-packages/matplotlib/backends/backend_agg.py:203: RuntimeWarning: Glyph 2434 missing from current font.\n",
      "  font.set_text(s, 0, flags=flags)\n",
      "/opt/conda/miniconda3/lib/python3.8/site-packages/matplotlib/backends/backend_agg.py:203: RuntimeWarning: Glyph 2482 missing from current font.\n",
      "  font.set_text(s, 0, flags=flags)\n",
      "/opt/conda/miniconda3/lib/python3.8/site-packages/matplotlib/backends/backend_agg.py:203: RuntimeWarning: Glyph 2470 missing from current font.\n",
      "  font.set_text(s, 0, flags=flags)\n",
      "/opt/conda/miniconda3/lib/python3.8/site-packages/matplotlib/backends/backend_agg.py:203: RuntimeWarning: Glyph 2503 missing from current font.\n",
      "  font.set_text(s, 0, flags=flags)\n",
      "/opt/conda/miniconda3/lib/python3.8/site-packages/matplotlib/backends/backend_agg.py:203: RuntimeWarning: Glyph 2486 missing from current font.\n",
      "  font.set_text(s, 0, flags=flags)\n",
      "/opt/conda/miniconda3/lib/python3.8/site-packages/matplotlib/backends/backend_agg.py:203: RuntimeWarning: Glyph 3521 missing from current font.\n",
      "  font.set_text(s, 0, flags=flags)\n",
      "/opt/conda/miniconda3/lib/python3.8/site-packages/matplotlib/backends/backend_agg.py:203: RuntimeWarning: Glyph 3530 missing from current font.\n",
      "  font.set_text(s, 0, flags=flags)\n",
      "/opt/conda/miniconda3/lib/python3.8/site-packages/matplotlib/backends/backend_agg.py:203: RuntimeWarning: Glyph 3515 missing from current font.\n",
      "  font.set_text(s, 0, flags=flags)\n",
      "/opt/conda/miniconda3/lib/python3.8/site-packages/matplotlib/backends/backend_agg.py:203: RuntimeWarning: Glyph 3539 missing from current font.\n",
      "  font.set_text(s, 0, flags=flags)\n",
      "/opt/conda/miniconda3/lib/python3.8/site-packages/matplotlib/backends/backend_agg.py:203: RuntimeWarning: Glyph 3517 missing from current font.\n",
      "  font.set_text(s, 0, flags=flags)\n",
      "/opt/conda/miniconda3/lib/python3.8/site-packages/matplotlib/backends/backend_agg.py:203: RuntimeWarning: Glyph 3458 missing from current font.\n",
      "  font.set_text(s, 0, flags=flags)\n",
      "/opt/conda/miniconda3/lib/python3.8/site-packages/matplotlib/backends/backend_agg.py:203: RuntimeWarning: Glyph 3482 missing from current font.\n",
      "  font.set_text(s, 0, flags=flags)\n",
      "/opt/conda/miniconda3/lib/python3.8/site-packages/matplotlib/backends/backend_agg.py:203: RuntimeWarning: Glyph 3535 missing from current font.\n",
      "  font.set_text(s, 0, flags=flags)\n",
      "/opt/conda/miniconda3/lib/python3.8/site-packages/matplotlib/backends/backend_agg.py:203: RuntimeWarning: Glyph 3520 missing from current font.\n",
      "  font.set_text(s, 0, flags=flags)\n",
      "/opt/conda/miniconda3/lib/python3.8/site-packages/matplotlib/backends/backend_agg.py:203: RuntimeWarning: Glyph 2951 missing from current font.\n",
      "  font.set_text(s, 0, flags=flags)\n",
      "/opt/conda/miniconda3/lib/python3.8/site-packages/matplotlib/backends/backend_agg.py:203: RuntimeWarning: Glyph 2994 missing from current font.\n",
      "  font.set_text(s, 0, flags=flags)\n",
      "/opt/conda/miniconda3/lib/python3.8/site-packages/matplotlib/backends/backend_agg.py:203: RuntimeWarning: Glyph 2969 missing from current font.\n",
      "  font.set_text(s, 0, flags=flags)\n",
      "/opt/conda/miniconda3/lib/python3.8/site-packages/matplotlib/backends/backend_agg.py:203: RuntimeWarning: Glyph 3021 missing from current font.\n",
      "  font.set_text(s, 0, flags=flags)\n",
      "/opt/conda/miniconda3/lib/python3.8/site-packages/matplotlib/backends/backend_agg.py:203: RuntimeWarning: Glyph 2965 missing from current font.\n",
      "  font.set_text(s, 0, flags=flags)\n",
      "/opt/conda/miniconda3/lib/python3.8/site-packages/matplotlib/backends/backend_agg.py:203: RuntimeWarning: Glyph 3016 missing from current font.\n",
      "  font.set_text(s, 0, flags=flags)\n",
      "/opt/conda/miniconda3/lib/python3.8/site-packages/matplotlib/backends/backend_agg.py:203: RuntimeWarning: Glyph 3611 missing from current font.\n",
      "  font.set_text(s, 0, flags=flags)\n",
      "/opt/conda/miniconda3/lib/python3.8/site-packages/matplotlib/backends/backend_agg.py:203: RuntimeWarning: Glyph 3619 missing from current font.\n",
      "  font.set_text(s, 0, flags=flags)\n",
      "/opt/conda/miniconda3/lib/python3.8/site-packages/matplotlib/backends/backend_agg.py:203: RuntimeWarning: Glyph 3632 missing from current font.\n",
      "  font.set_text(s, 0, flags=flags)\n",
      "/opt/conda/miniconda3/lib/python3.8/site-packages/matplotlib/backends/backend_agg.py:203: RuntimeWarning: Glyph 3648 missing from current font.\n",
      "  font.set_text(s, 0, flags=flags)\n",
      "/opt/conda/miniconda3/lib/python3.8/site-packages/matplotlib/backends/backend_agg.py:203: RuntimeWarning: Glyph 3607 missing from current font.\n",
      "  font.set_text(s, 0, flags=flags)\n",
      "/opt/conda/miniconda3/lib/python3.8/site-packages/matplotlib/backends/backend_agg.py:203: RuntimeWarning: Glyph 3624 missing from current font.\n",
      "  font.set_text(s, 0, flags=flags)\n",
      "/opt/conda/miniconda3/lib/python3.8/site-packages/matplotlib/backends/backend_agg.py:203: RuntimeWarning: Glyph 3652 missing from current font.\n",
      "  font.set_text(s, 0, flags=flags)\n",
      "/opt/conda/miniconda3/lib/python3.8/site-packages/matplotlib/backends/backend_agg.py:203: RuntimeWarning: Glyph 3618 missing from current font.\n",
      "  font.set_text(s, 0, flags=flags)\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 800x600 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#We can annotate the graph to give the labels to the countries\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "import geopandas as gpd\n",
    "\n",
    "# initialize an axis\n",
    "fig, ax = plt.subplots(figsize=(8,6))\n",
    "\n",
    "# plot map on axis\n",
    "countries = gpd.read_file(gpd.datasets.get_path(\"naturalearth_lowres\"))\n",
    "countries.plot(color='navy', alpha=0.5, edgecolor='black', ax=ax)\n",
    "\n",
    "# plot points\n",
    "df_country.plot(x=\"country_longitude\", y=\"country_latitude\", kind=\"scatter\", \n",
    "         c=\"count(1)\", colormap=\"magma\", alpha=0.7,\n",
    "         ax=ax)\n",
    "\n",
    "# add labels to points\n",
    "for i, row in df_country.iterrows():\n",
    "    ax.annotate(row[\"country\"], xy=(row[\"country_longitude\"], row[\"country_latitude\"]), \n",
    "                xytext=(5, 5), textcoords=\"offset points\", color=\"white\", fontsize=8)\n",
    "\n",
    "# add grid\n",
    "ax.grid(b=True, alpha=0.5)\n",
    "\n",
    "plt.xlabel('latitude')\n",
    "plt.ylabel('longitude')\n",
    "plt.title('Count of Twitterers by Country')\n",
    "plt.legend(loc=2, prop={'size': 6})\n",
    "\n",
    "# show plot\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "4002ce45-df5b-44ad-bb30-55e04b37fd1a",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_cont = df_country.sort_values(by=['count(1)'], ascending=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "96963b20-9cf5-4ce6-b399-62f5f7498e74",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>country</th>\n",
       "      <th>count(1)</th>\n",
       "      <th>country_latitude</th>\n",
       "      <th>country_longitude</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>United States</td>\n",
       "      <td>104696</td>\n",
       "      <td>39.783730</td>\n",
       "      <td>-100.445882</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>India</td>\n",
       "      <td>32762</td>\n",
       "      <td>22.351115</td>\n",
       "      <td>78.667743</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>26270</td>\n",
       "      <td>54.702354</td>\n",
       "      <td>-3.276575</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Canada</td>\n",
       "      <td>7665</td>\n",
       "      <td>61.066692</td>\n",
       "      <td>-107.991707</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>پاکستان</td>\n",
       "      <td>4243</td>\n",
       "      <td>30.330840</td>\n",
       "      <td>71.247499</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           country  count(1)  country_latitude  country_longitude\n",
       "17   United States    104696         39.783730        -100.445882\n",
       "8            India     32762         22.351115          78.667743\n",
       "16  United Kingdom     26270         54.702354          -3.276575\n",
       "3           Canada      7665         61.066692        -107.991707\n",
       "23         پاکستان      4243         30.330840          71.247499"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "c = df_cont.head(5)\n",
    "c"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "32700ff9-70c6-417a-bccb-617feeaf1667",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#sns.barplot(data=c, x=\"country\", y=\"count(1)\")\n",
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "# set the style and color palette\n",
    "sns.set(style=\"whitegrid\", palette=\"muted\")\n",
    "\n",
    "# create the barplot\n",
    "ax = sns.barplot(data=c,x='country', y='count(1)')\n",
    "\n",
    "# customize the plot\n",
    "plt.title(\"Country-wise Distribution of Tweets\")\n",
    "plt.xlabel(\"County\")\n",
    "plt.ylabel(\"Count of Tweets\")\n",
    "plt.ylim([0, 110000])\n",
    "plt.xticks(rotation=0)\n",
    "plt.tight_layout()\n",
    "\n",
    "# show the plot\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8c04c286-0b0a-4f6c-b12d-22cf6c7e9ff4",
   "metadata": {},
   "source": [
    "### What are the timelines of these tweets? Do you see significant peaks and valleys?"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "70211e45-721a-4712-ab5b-c5a39e4cebcf",
   "metadata": {},
   "source": [
    "#### Do you see any data collection gaps?\n",
    "#### Plot the timelines of these tweets"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "de79ff6f-fda6-42b2-9f47-c275961a61fe",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "/bin/sh: 1: break!: not found\n"
     ]
    }
   ],
   "source": [
    "!break!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "352f6ff9-29d4-486d-b8aa-cf4cbec678be",
   "metadata": {},
   "outputs": [],
   "source": [
    "#To address these questions, we perform a time analysis. Plot a timeline graph to see the spread of the tweets"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "df83feb4-d2b2-4a2a-b980-ec6228f5c24e",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "+-------------------+--------------------+\n",
      "|                 id|          created_at|\n",
      "+-------------------+--------------------+\n",
      "|1586426715760459778|Sat Oct 29 18:36:...|\n",
      "|1586426719090589696|Sat Oct 29 18:36:...|\n",
      "|1586426871524343814|Sat Oct 29 18:36:...|\n",
      "|1586427143302443008|Sat Oct 29 18:38:...|\n",
      "|1586427325264310273|Sat Oct 29 18:38:...|\n",
      "+-------------------+--------------------+\n",
      "only showing top 5 rows\n",
      "\n"
     ]
    }
   ],
   "source": [
    "timeline_df = twt_df.select('id','created_at')\n",
    "timeline_df.show(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "d8af595b-4ca0-4956-99b0-7f0cc7e02076",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[Stage 8:======================================================>(207 + 3) / 210]\r"
     ]
    }
   ],
   "source": [
    "df_timelines_pd = timeline_df.groupby('created_at').agg(count('id').alias(\"count_id\")).toPandas()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "8bbe2c78-cd4b-4a19-8268-d8884a9db0c8",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_timelines_pd.head(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "de8e8b97-ea24-4362-a074-1b4164d823d4",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_timelines_pd['created_at'] = pd.to_datetime(df_timelines_pd['created_at'])\n",
    "df_timelines_pd['year'] = df_timelines_pd['created_at'].dt.year\n",
    "df_timelines_pd['month'] = df_timelines_pd['created_at'].dt.month\n",
    "df_timelines_pd['dayCode'] = df_timelines_pd['created_at'].dt.dayofweek"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "79c04455-966b-43ca-9d9a-38b13c104158",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>created_at</th>\n",
       "      <th>count_id</th>\n",
       "      <th>year</th>\n",
       "      <th>month</th>\n",
       "      <th>dayCode</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2022-08-03 07:31:30+00:00</td>\n",
       "      <td>1</td>\n",
       "      <td>2022</td>\n",
       "      <td>8</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2022-12-20 22:00:06+00:00</td>\n",
       "      <td>1</td>\n",
       "      <td>2022</td>\n",
       "      <td>12</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2022-08-30 16:30:24+00:00</td>\n",
       "      <td>2</td>\n",
       "      <td>2022</td>\n",
       "      <td>8</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2022-11-24 07:13:50+00:00</td>\n",
       "      <td>1</td>\n",
       "      <td>2022</td>\n",
       "      <td>11</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2022-12-16 14:06:12+00:00</td>\n",
       "      <td>1</td>\n",
       "      <td>2022</td>\n",
       "      <td>12</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                 created_at  count_id  year  month  dayCode\n",
       "0 2022-08-03 07:31:30+00:00         1  2022      8        2\n",
       "1 2022-12-20 22:00:06+00:00         1  2022     12        1\n",
       "2 2022-08-30 16:30:24+00:00         2  2022      8        1\n",
       "3 2022-11-24 07:13:50+00:00         1  2022     11        3\n",
       "4 2022-12-16 14:06:12+00:00         1  2022     12        4"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_timelines_pd.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "b8ab3eb6-ba97-43f5-99ee-37bb566f8cc1",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "month\n",
       "1     98188\n",
       "2     22052\n",
       "4     76453\n",
       "5    100171\n",
       "6     83300\n",
       "Name: count_id, dtype: int64"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# group by the 'fruit' column and sum the 'quantity' column\n",
    "result_m = df_timelines_pd.groupby('month')['count_id'].count()\n",
    "\n",
    "# print the result\n",
    "result_m.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "da215e8e-4289-48ee-8b23-e0506743deb7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "\"\\nimport pandas as pd\\nimport matplotlib.pyplot as plt\\n\\n#result_m.plot(x='month', y='count_id', kind='bar')\\nresult_m.plot(x='month', y='count_id', kind='line')\\nplt.show()\\n\""
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "\"\"\"\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "#result_m.plot(x='month', y='count_id', kind='bar')\n",
    "result_m.plot(x='month', y='count_id', kind='line')\n",
    "plt.show()\n",
    "\"\"\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "169943a1-0684-4347-9294-1a484b8b5dd1",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "\n",
    "# group by the 'month' column and sum the 'count_id' column\n",
    "result_m = df_timelines_pd.groupby('month')['count_id'].sum()\n",
    "\n",
    "# set seaborn style and plot the counts by month\n",
    "sns.set(style='whitegrid', font_scale=1.2, rc={'figure.figsize':(10,6)})\n",
    "sns.lineplot(x=result_m.index, y=result_m.values, color='blue', linewidth=2, marker='o', markersize=8)\n",
    "\n",
    "# add labels and formatting\n",
    "plt.title('Timeline Analysis over the Months', fontsize=24, fontweight='bold', pad=20)\n",
    "plt.xlabel('Month', fontsize=18, labelpad=10)\n",
    "plt.ylabel('Count', fontsize=18, labelpad=10)\n",
    "plt.xticks(fontsize=16)\n",
    "plt.yticks(fontsize=16)\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "8358e374-3654-4736-bdfc-6e616083f25c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "year\n",
       "2022    851826\n",
       "2023    120240\n",
       "Name: count_id, dtype: int64"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# group by the 'fruit' column and sum the 'quantity' column\n",
    "result = df_timelines_pd.groupby('year')['count_id'].count()\n",
    "\n",
    "# print the result\n",
    "result.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "517d353d-72ec-4deb-a4f5-212b82452a32",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "result.plot(x='month', y='count_id', kind='bar')\n",
    "\n",
    "plt.title('Year-wise distribution of the tweets')\n",
    "plt.xlabel('Year')\n",
    "plt.ylabel('Tweet Count')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "6edde1a5-de44-46bf-b762-8927e66fadde",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0    2\n",
       "1    1\n",
       "2    1\n",
       "3    3\n",
       "4    4\n",
       "5    5\n",
       "6    0\n",
       "7    0\n",
       "8    1\n",
       "9    0\n",
       "Name: dayCode, dtype: int64"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_timelines_pd['dayCode'].head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "ecb8f23c-e1b2-41ae-a094-49a4bb94c72b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "dayCode\n",
       "0    156197\n",
       "1    145568\n",
       "2    154594\n",
       "3    146521\n",
       "4    137721\n",
       "Name: count_id, dtype: int64"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# group by the 'fruit' column and sum the 'quantity' column\n",
    "result_c = df_timelines_pd.groupby('dayCode')['count_id'].count()\n",
    "\n",
    "# print the result\n",
    "result_c.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "f8dd8cae-fc4d-40b8-aaf5-1e503c3bae8f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "\"\\nimport pandas as pd\\nimport matplotlib.pyplot as plt\\n\\n#result_m.plot(x='month', y='count_id', kind='bar')\\nresult_c.plot(x='dayCode', y='count_id', kind='line')\\nplt.show()\\n\""
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "\"\"\"\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "#result_m.plot(x='month', y='count_id', kind='bar')\n",
    "result_c.plot(x='dayCode', y='count_id', kind='line')\n",
    "plt.show()\n",
    "\"\"\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "0db6ee8d-ec66-4585-ba3e-f57bf22cd68b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "# group by the 'dayCode' column and count the IDs for each dayCode\n",
    "result_c = df_timelines_pd.groupby('dayCode')['count_id'].count().reset_index()\n",
    "\n",
    "# plot the counts by dayCode\n",
    "plt.plot(result_c['dayCode'], result_c['count_id'], color='purple', linewidth=2, linestyle='-', marker='o', markersize=8)\n",
    "plt.title('Timeline Analysis over the Days of the Week', fontsize=18, fontweight='bold', pad=20)\n",
    "plt.xlabel('Day of the Week', fontsize=14, labelpad=10)\n",
    "plt.ylabel('Count', fontsize=14, labelpad=10)\n",
    "plt.xticks(result_c['dayCode'], ['Mon', 'Tue', 'Wed', 'Thu', 'Fri', 'Sat', 'Sun'], fontsize=12)\n",
    "plt.yticks(fontsize=12)\n",
    "plt.grid(axis='y', linestyle='--', alpha=0.7)\n",
    "plt.tight_layout()\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "5f258db9-d30a-43d6-8bb5-ec4d79c85302",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 972066 entries, 0 to 972065\n",
      "Data columns (total 5 columns):\n",
      " #   Column      Non-Null Count   Dtype              \n",
      "---  ------      --------------   -----              \n",
      " 0   created_at  972066 non-null  datetime64[ns, UTC]\n",
      " 1   count_id    972066 non-null  int64              \n",
      " 2   year        972066 non-null  int64              \n",
      " 3   month       972066 non-null  int64              \n",
      " 4   dayCode     972066 non-null  int64              \n",
      "dtypes: datetime64[ns, UTC](1), int64(4)\n",
      "memory usage: 37.1 MB\n"
     ]
    }
   ],
   "source": [
    "df_timelines_pd.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "b3b2a155-15ed-4156-9ee7-b5a97f052e73",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_timelines_pd['day'] = df_timelines_pd['created_at'].dt.day"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "a4df2fc7-7dcf-4f2a-af7b-cdb42237f5e3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "\"\\nimport pandas as pd\\nimport matplotlib.pyplot as plt\\n\\n# group by the 'fruit' column and sum the 'quantity' column\\nresult_d = df_timelines_pd.groupby('day')['count_id'].count()\\n\\n#result_m.plot(x='month', y='count_id', kind='bar')\\nresult_d.plot(x='day', y='count_id', kind='line')\\nplt.title('Timeline Analysis over the day of the month')\\nplt.show()\\n\""
      ]
     },
     "execution_count": 46,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "\n",
    "\"\"\"\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "# group by the 'fruit' column and sum the 'quantity' column\n",
    "result_d = df_timelines_pd.groupby('day')['count_id'].count()\n",
    "\n",
    "#result_m.plot(x='month', y='count_id', kind='bar')\n",
    "result_d.plot(x='day', y='count_id', kind='line')\n",
    "plt.title('Timeline Analysis over the day of the month')\n",
    "plt.show()\n",
    "\"\"\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "505b690d-4bdb-4e15-a78f-f013e2046a71",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "# group by the 'day' column and count the IDs for each day\n",
    "result_d = df_timelines_pd.groupby(df_timelines_pd['created_at'].dt.day)['count_id'].count().reset_index()\n",
    "\n",
    "# plot the counts by day\n",
    "plt.plot(result_d['created_at'], result_d['count_id'], color='teal', linewidth=2, linestyle='--', marker='o', markersize=8)\n",
    "plt.title('Timeline Analysis over the Day of the Month', fontsize=18, fontweight='bold', pad=20)\n",
    "plt.xlabel('Day', fontsize=14, labelpad=10)\n",
    "plt.ylabel('Count', fontsize=14, labelpad=10)\n",
    "plt.xticks(result_d['created_at'], result_d['created_at'], fontsize=12, rotation=45)\n",
    "plt.yticks(fontsize=12)\n",
    "plt.grid(axis='y', linestyle='--', alpha=0.7)\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "2fc62798-c752-4b12-9242-0c47bc12bea2",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "5d67dfad-c007-4fd3-9539-c541e94a0132",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "\"\\nimport pandas as pd\\nimport matplotlib.pyplot as plt\\n\\n# group by the 'day' column and count the IDs for each day\\nresult_d = df_timelines_pd.groupby(df_timelines_pd['created_at'])['count_id'].count().reset_index()\\n\\n# plot the counts by day\\nplt.plot(result_d['created_at'], result_d['count_id'], color='teal', linewidth=2, linestyle='--', marker='o', markersize=8)\\nplt.title('Timeline Analysis over the Day of the Month', fontsize=18, fontweight='bold', pad=20)\\nplt.xlabel('Day', fontsize=14, labelpad=10)\\nplt.ylabel('Count', fontsize=14, labelpad=10)\\nplt.xticks(result_d['created_at'], result_d['created_at'], fontsize=12, rotation=45)\\nplt.yticks(fontsize=12)\\nplt.grid(axis='y', linestyle='--', alpha=0.7)\\nplt.tight_layout()\\nplt.show()\\n\""
      ]
     },
     "execution_count": 48,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "\"\"\"\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "# group by the 'day' column and count the IDs for each day\n",
    "result_d = df_timelines_pd.groupby(df_timelines_pd['created_at'])['count_id'].count().reset_index()\n",
    "\n",
    "# plot the counts by day\n",
    "plt.plot(result_d['created_at'], result_d['count_id'], color='teal', linewidth=2, linestyle='--', marker='o', markersize=8)\n",
    "plt.title('Timeline Analysis over the Day of the Month', fontsize=18, fontweight='bold', pad=20)\n",
    "plt.xlabel('Day', fontsize=14, labelpad=10)\n",
    "plt.ylabel('Count', fontsize=14, labelpad=10)\n",
    "plt.xticks(result_d['created_at'], result_d['created_at'], fontsize=12, rotation=45)\n",
    "plt.yticks(fontsize=12)\n",
    "plt.grid(axis='y', linestyle='--', alpha=0.7)\n",
    "plt.tight_layout()\n",
    "plt.show()\n",
    "\"\"\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "576c2103-dcff-40ab-a2d7-f0e765b0a6e3",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "+-------------------+--------------------+\n",
      "|                 id|          created_at|\n",
      "+-------------------+--------------------+\n",
      "|1586426715760459778|Sat Oct 29 18:36:...|\n",
      "|1586426719090589696|Sat Oct 29 18:36:...|\n",
      "|1586426871524343814|Sat Oct 29 18:36:...|\n",
      "|1586427143302443008|Sat Oct 29 18:38:...|\n",
      "|1586427325264310273|Sat Oct 29 18:38:...|\n",
      "+-------------------+--------------------+\n",
      "only showing top 5 rows\n",
      "\n"
     ]
    }
   ],
   "source": [
    "timeline_df = twt_df.select('id','created_at')\n",
    "timeline_df.show(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "7ff306d0-1e7d-408c-a396-89c35ba346d7",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "f9d719d8-9313-45e1-8a73-ed07363fc8d6",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "25e431f1-d45f-43b9-9b70-e7dd91d01649",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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