ACLED Data Correlation.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "3e10c978",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "plt.rcParams['figure.figsize'] = [10, 5]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "a1d77ada",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 752462 entries, 0 to 752461\n",
      "Data columns (total 31 columns):\n",
      " #   Column            Non-Null Count   Dtype  \n",
      "---  ------            --------------   -----  \n",
      " 0   data_id           752462 non-null  int64  \n",
      " 1   iso               752462 non-null  int64  \n",
      " 2   event_id_cnty     752462 non-null  object \n",
      " 3   event_id_no_cnty  752462 non-null  float64\n",
      " 4   event_date        752462 non-null  object \n",
      " 5   year              752462 non-null  int64  \n",
      " 6   time_precision    752462 non-null  int64  \n",
      " 7   event_type        752462 non-null  object \n",
      " 8   sub_event_type    752462 non-null  object \n",
      " 9   actor1            752462 non-null  object \n",
      " 10  assoc_actor_1     328197 non-null  object \n",
      " 11  inter1            752462 non-null  int64  \n",
      " 12  actor2            324188 non-null  object \n",
      " 13  assoc_actor_2     91902 non-null   object \n",
      " 14  inter2            752462 non-null  int64  \n",
      " 15  interaction       752462 non-null  int64  \n",
      " 16  region            752462 non-null  object \n",
      " 17  country           752462 non-null  object \n",
      " 18  admin1            752378 non-null  object \n",
      " 19  admin2            727092 non-null  object \n",
      " 20  admin3            326658 non-null  object \n",
      " 21  location          752462 non-null  object \n",
      " 22  latitude          752462 non-null  float64\n",
      " 23  longitude         752462 non-null  float64\n",
      " 24  geo_precision     752462 non-null  int64  \n",
      " 25  source            752462 non-null  object \n",
      " 26  source_scale      752462 non-null  object \n",
      " 27  notes             752462 non-null  object \n",
      " 28  fatalities        752462 non-null  int64  \n",
      " 29  timestamp         752462 non-null  int64  \n",
      " 30  iso3              752462 non-null  object \n",
      "dtypes: float64(3), int64(10), object(18)\n",
      "memory usage: 178.0+ MB\n"
     ]
    }
   ],
   "source": [
    "df = pd.read_csv(\"ACLED_export.csv\")\n",
    "df.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "bb137867",
   "metadata": {},
   "outputs": [],
   "source": [
    "df['event_date'] = pd.to_datetime(df.event_date)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "e5754fb7",
   "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>data_id</th>\n",
       "      <th>iso</th>\n",
       "      <th>event_id_cnty</th>\n",
       "      <th>event_id_no_cnty</th>\n",
       "      <th>event_date</th>\n",
       "      <th>year</th>\n",
       "      <th>time_precision</th>\n",
       "      <th>event_type</th>\n",
       "      <th>sub_event_type</th>\n",
       "      <th>actor1</th>\n",
       "      <th>...</th>\n",
       "      <th>location</th>\n",
       "      <th>latitude</th>\n",
       "      <th>longitude</th>\n",
       "      <th>geo_precision</th>\n",
       "      <th>source</th>\n",
       "      <th>source_scale</th>\n",
       "      <th>notes</th>\n",
       "      <th>fatalities</th>\n",
       "      <th>timestamp</th>\n",
       "      <th>iso3</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>8898974</td>\n",
       "      <td>368</td>\n",
       "      <td>IRQ36747</td>\n",
       "      <td>36747.0</td>\n",
       "      <td>2022-03-11</td>\n",
       "      <td>2022</td>\n",
       "      <td>1</td>\n",
       "      <td>Explosions/Remote violence</td>\n",
       "      <td>Air/drone strike</td>\n",
       "      <td>Military Forces of Iraq (2020-)</td>\n",
       "      <td>...</td>\n",
       "      <td>Mamah</td>\n",
       "      <td>35.5677</td>\n",
       "      <td>44.0168</td>\n",
       "      <td>2</td>\n",
       "      <td>Al Mirbad; Al Sumaria TV</td>\n",
       "      <td>National</td>\n",
       "      <td>On 11 March 2022, Iraqi F-16 and armed Cessna ...</td>\n",
       "      <td>4</td>\n",
       "      <td>1647270867</td>\n",
       "      <td>IRQ</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>8898984</td>\n",
       "      <td>760</td>\n",
       "      <td>SYR99469</td>\n",
       "      <td>99469.0</td>\n",
       "      <td>2022-03-11</td>\n",
       "      <td>2022</td>\n",
       "      <td>1</td>\n",
       "      <td>Strategic developments</td>\n",
       "      <td>Change to group/activity</td>\n",
       "      <td>Global Coalition Against Daesh</td>\n",
       "      <td>...</td>\n",
       "      <td>Al-Hasakeh</td>\n",
       "      <td>36.5054</td>\n",
       "      <td>40.7429</td>\n",
       "      <td>3</td>\n",
       "      <td>Facebook; SOHR</td>\n",
       "      <td>Other-New media</td>\n",
       "      <td>Movement of forces: On 11 March 2022, a Global...</td>\n",
       "      <td>0</td>\n",
       "      <td>1647270867</td>\n",
       "      <td>SYR</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>8898990</td>\n",
       "      <td>760</td>\n",
       "      <td>SYR99481</td>\n",
       "      <td>99481.0</td>\n",
       "      <td>2022-03-11</td>\n",
       "      <td>2022</td>\n",
       "      <td>1</td>\n",
       "      <td>Strategic developments</td>\n",
       "      <td>Change to group/activity</td>\n",
       "      <td>Global Coalition Against Daesh</td>\n",
       "      <td>...</td>\n",
       "      <td>Rmelan</td>\n",
       "      <td>37.0072</td>\n",
       "      <td>41.9521</td>\n",
       "      <td>2</td>\n",
       "      <td>Facebook; SHAAM</td>\n",
       "      <td>New media-National</td>\n",
       "      <td>Movement of forces: On 11 March 2022, a US mil...</td>\n",
       "      <td>0</td>\n",
       "      <td>1647270867</td>\n",
       "      <td>SYR</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>8899004</td>\n",
       "      <td>760</td>\n",
       "      <td>SYR99535</td>\n",
       "      <td>99535.0</td>\n",
       "      <td>2022-03-11</td>\n",
       "      <td>2022</td>\n",
       "      <td>1</td>\n",
       "      <td>Battles</td>\n",
       "      <td>Armed clash</td>\n",
       "      <td>Unidentified Armed Group (Syria)</td>\n",
       "      <td>...</td>\n",
       "      <td>Ar-Raqqa</td>\n",
       "      <td>35.9428</td>\n",
       "      <td>39.0519</td>\n",
       "      <td>2</td>\n",
       "      <td>Facebook; SHAAM</td>\n",
       "      <td>New media-National</td>\n",
       "      <td>On 11 March 2022, an unknown armed group attac...</td>\n",
       "      <td>1</td>\n",
       "      <td>1647270867</td>\n",
       "      <td>SYR</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>8899034</td>\n",
       "      <td>368</td>\n",
       "      <td>IRQ36702</td>\n",
       "      <td>36702.0</td>\n",
       "      <td>2022-03-11</td>\n",
       "      <td>2022</td>\n",
       "      <td>1</td>\n",
       "      <td>Protests</td>\n",
       "      <td>Peaceful protest</td>\n",
       "      <td>Protesters (Iraq)</td>\n",
       "      <td>...</td>\n",
       "      <td>As Samawah</td>\n",
       "      <td>31.3059</td>\n",
       "      <td>45.2799</td>\n",
       "      <td>3</td>\n",
       "      <td>Al Mirbad</td>\n",
       "      <td>National</td>\n",
       "      <td>On 11 March 2022, unknown tribal protesters co...</td>\n",
       "      <td>0</td>\n",
       "      <td>1647270867</td>\n",
       "      <td>IRQ</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 31 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   data_id  iso event_id_cnty  event_id_no_cnty event_date  year  \\\n",
       "0  8898974  368      IRQ36747           36747.0 2022-03-11  2022   \n",
       "1  8898984  760      SYR99469           99469.0 2022-03-11  2022   \n",
       "2  8898990  760      SYR99481           99481.0 2022-03-11  2022   \n",
       "3  8899004  760      SYR99535           99535.0 2022-03-11  2022   \n",
       "4  8899034  368      IRQ36702           36702.0 2022-03-11  2022   \n",
       "\n",
       "   time_precision                  event_type            sub_event_type  \\\n",
       "0               1  Explosions/Remote violence          Air/drone strike   \n",
       "1               1      Strategic developments  Change to group/activity   \n",
       "2               1      Strategic developments  Change to group/activity   \n",
       "3               1                     Battles               Armed clash   \n",
       "4               1                    Protests          Peaceful protest   \n",
       "\n",
       "                             actor1  ...    location  latitude longitude  \\\n",
       "0   Military Forces of Iraq (2020-)  ...       Mamah   35.5677   44.0168   \n",
       "1    Global Coalition Against Daesh  ...  Al-Hasakeh   36.5054   40.7429   \n",
       "2    Global Coalition Against Daesh  ...      Rmelan   37.0072   41.9521   \n",
       "3  Unidentified Armed Group (Syria)  ...    Ar-Raqqa   35.9428   39.0519   \n",
       "4                 Protesters (Iraq)  ...  As Samawah   31.3059   45.2799   \n",
       "\n",
       "  geo_precision                    source        source_scale  \\\n",
       "0             2  Al Mirbad; Al Sumaria TV            National   \n",
       "1             3            Facebook; SOHR     Other-New media   \n",
       "2             2           Facebook; SHAAM  New media-National   \n",
       "3             2           Facebook; SHAAM  New media-National   \n",
       "4             3                 Al Mirbad            National   \n",
       "\n",
       "                                               notes fatalities   timestamp  \\\n",
       "0  On 11 March 2022, Iraqi F-16 and armed Cessna ...          4  1647270867   \n",
       "1  Movement of forces: On 11 March 2022, a Global...          0  1647270867   \n",
       "2  Movement of forces: On 11 March 2022, a US mil...          0  1647270867   \n",
       "3  On 11 March 2022, an unknown armed group attac...          1  1647270867   \n",
       "4  On 11 March 2022, unknown tribal protesters co...          0  1647270867   \n",
       "\n",
       "  iso3  \n",
       "0  IRQ  \n",
       "1  SYR  \n",
       "2  SYR  \n",
       "3  SYR  \n",
       "4  IRQ  \n",
       "\n",
       "[5 rows x 31 columns]"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "ef4db288",
   "metadata": {},
   "outputs": [],
   "source": [
    "df = df.loc[(df['event_date'] >= '2022-02-27') & (df['event_date'] <= '2022-03-10')]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "86909007",
   "metadata": {},
   "outputs": [],
   "source": [
    "df = df.loc[df['country'].isin(['Ukraine', 'Russia'])]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "28978044",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:title={'center':'Number of events by day'}, xlabel='event_date'>"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df.groupby('event_date').event_id_cnty.nunique().plot(title='Number of events by day',kind='bar')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "2c9c3d2e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:title={'center':'Number of events by day and type'}, xlabel='event_date'>"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 720x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df_events = df.groupby('event_date').event_type.value_counts().to_frame('occurences').reset_index()\n",
    "df_events = df_events.pivot_table(values='occurences',index='event_date', columns='event_type').reset_index()\n",
    "df_events.index.name = None\n",
    "df_events.fillna(0, inplace=True)\n",
    "df_events.plot(x='event_date',kind='bar', title='Number of events by day and type', cmap='Set1')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "426eadd6",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 3735462 entries, 0 to 3735461\n",
      "Data columns (total 12 columns):\n",
      " #   Column    Dtype  \n",
      "---  ------    -----  \n",
      " 0   tweetid   int64  \n",
      " 1   text      object \n",
      " 2   hashtags  object \n",
      " 3   language  object \n",
      " 4   date      object \n",
      " 5   negative  float64\n",
      " 6   neutral   float64\n",
      " 7   positive  float64\n",
      " 8   anger     float64\n",
      " 9   joy       float64\n",
      " 10  optimism  float64\n",
      " 11  sadness   float64\n",
      "dtypes: float64(7), int64(1), object(4)\n",
      "memory usage: 342.0+ MB\n"
     ]
    }
   ],
   "source": [
    "sentiment_df = pd.read_csv('Tweets - Sentiment Analysis (RoBERTa).csv', lineterminator='\\n')\n",
    "sentiment_df.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "9e5834ab",
   "metadata": {},
   "outputs": [],
   "source": [
    "sentiment_df[\"date\"] = sentiment_df[\"date\"] + \"2022\"\n",
    "sentiment_df[\"date\"] = pd.to_datetime(sentiment_df.date, format=\"%b%d%Y\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "a12bddda",
   "metadata": {},
   "outputs": [],
   "source": [
    "sentiment_df.drop(columns='tweetid', inplace=True)\n",
    "sentiment_df = sentiment_df.groupby(\"date\").mean().reset_index()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "633cc7d4",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:title={'center':'Sentiment by day'}, xlabel='date'>"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sentiment_df.plot(x='date', linestyle='dashed', title='Sentiment by day', cmap='Set2')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "5bc365b8",
   "metadata": {},
   "outputs": [],
   "source": [
    "merged_df = pd.merge(df_events, sentiment_df, how='inner', left_on='event_date', right_on='date')\n",
    "merged_df.drop(columns='event_date', inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "d6a61e65",
   "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>Battles</th>\n",
       "      <th>Explosions/Remote violence</th>\n",
       "      <th>Protests</th>\n",
       "      <th>Riots</th>\n",
       "      <th>Strategic developments</th>\n",
       "      <th>Violence against civilians</th>\n",
       "      <th>date</th>\n",
       "      <th>negative</th>\n",
       "      <th>neutral</th>\n",
       "      <th>positive</th>\n",
       "      <th>anger</th>\n",
       "      <th>joy</th>\n",
       "      <th>optimism</th>\n",
       "      <th>sadness</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>18.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>38.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>2022-02-27</td>\n",
       "      <td>0.443752</td>\n",
       "      <td>0.405573</td>\n",
       "      <td>0.150675</td>\n",
       "      <td>0.536336</td>\n",
       "      <td>0.135499</td>\n",
       "      <td>0.174419</td>\n",
       "      <td>0.153746</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>13.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>2022-02-28</td>\n",
       "      <td>0.439319</td>\n",
       "      <td>0.421409</td>\n",
       "      <td>0.139272</td>\n",
       "      <td>0.533962</td>\n",
       "      <td>0.139348</td>\n",
       "      <td>0.170520</td>\n",
       "      <td>0.156170</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>16.0</td>\n",
       "      <td>53.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>2022-03-01</td>\n",
       "      <td>0.478469</td>\n",
       "      <td>0.394266</td>\n",
       "      <td>0.127265</td>\n",
       "      <td>0.538898</td>\n",
       "      <td>0.122757</td>\n",
       "      <td>0.159623</td>\n",
       "      <td>0.178722</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>29.0</td>\n",
       "      <td>48.0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2022-03-02</td>\n",
       "      <td>0.460052</td>\n",
       "      <td>0.399270</td>\n",
       "      <td>0.140677</td>\n",
       "      <td>0.515387</td>\n",
       "      <td>0.121702</td>\n",
       "      <td>0.177871</td>\n",
       "      <td>0.185040</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>36.0</td>\n",
       "      <td>33.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>2022-03-03</td>\n",
       "      <td>0.470333</td>\n",
       "      <td>0.399250</td>\n",
       "      <td>0.130417</td>\n",
       "      <td>0.526077</td>\n",
       "      <td>0.119452</td>\n",
       "      <td>0.172837</td>\n",
       "      <td>0.181634</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>33.0</td>\n",
       "      <td>18.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2022-03-04</td>\n",
       "      <td>0.513187</td>\n",
       "      <td>0.367686</td>\n",
       "      <td>0.119127</td>\n",
       "      <td>0.541005</td>\n",
       "      <td>0.095475</td>\n",
       "      <td>0.166575</td>\n",
       "      <td>0.196945</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>17.0</td>\n",
       "      <td>36.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>2022-03-05</td>\n",
       "      <td>0.462307</td>\n",
       "      <td>0.390269</td>\n",
       "      <td>0.147424</td>\n",
       "      <td>0.511617</td>\n",
       "      <td>0.115166</td>\n",
       "      <td>0.192200</td>\n",
       "      <td>0.181017</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>19.0</td>\n",
       "      <td>28.0</td>\n",
       "      <td>64.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>2022-03-06</td>\n",
       "      <td>0.479728</td>\n",
       "      <td>0.371810</td>\n",
       "      <td>0.148462</td>\n",
       "      <td>0.525449</td>\n",
       "      <td>0.135963</td>\n",
       "      <td>0.166256</td>\n",
       "      <td>0.172332</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>40.0</td>\n",
       "      <td>26.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>2022-03-07</td>\n",
       "      <td>0.452198</td>\n",
       "      <td>0.376117</td>\n",
       "      <td>0.171685</td>\n",
       "      <td>0.482216</td>\n",
       "      <td>0.161560</td>\n",
       "      <td>0.165447</td>\n",
       "      <td>0.190776</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>21.0</td>\n",
       "      <td>59.0</td>\n",
       "      <td>23.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>2022-03-08</td>\n",
       "      <td>0.423213</td>\n",
       "      <td>0.388523</td>\n",
       "      <td>0.188264</td>\n",
       "      <td>0.447725</td>\n",
       "      <td>0.174570</td>\n",
       "      <td>0.186687</td>\n",
       "      <td>0.191017</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>22.0</td>\n",
       "      <td>34.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>2022-03-09</td>\n",
       "      <td>0.486103</td>\n",
       "      <td>0.383141</td>\n",
       "      <td>0.130756</td>\n",
       "      <td>0.496438</td>\n",
       "      <td>0.121341</td>\n",
       "      <td>0.171799</td>\n",
       "      <td>0.210422</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>16.0</td>\n",
       "      <td>37.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>2022-03-10</td>\n",
       "      <td>0.489031</td>\n",
       "      <td>0.383331</td>\n",
       "      <td>0.127639</td>\n",
       "      <td>0.495082</td>\n",
       "      <td>0.122259</td>\n",
       "      <td>0.182194</td>\n",
       "      <td>0.200466</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    Battles  Explosions/Remote violence  Protests  Riots  \\\n",
       "0      18.0                        12.0      38.0    1.0   \n",
       "1      13.0                        45.0      10.0    0.0   \n",
       "2      16.0                        53.0      13.0    1.0   \n",
       "3      29.0                        48.0      20.0    0.0   \n",
       "4      36.0                        33.0      12.0    0.0   \n",
       "5      33.0                        18.0      10.0    0.0   \n",
       "6      17.0                        36.0      12.0    0.0   \n",
       "7      19.0                        28.0      64.0    0.0   \n",
       "8      40.0                        26.0       9.0    0.0   \n",
       "9      21.0                        59.0      23.0    0.0   \n",
       "10     22.0                        34.0       5.0    0.0   \n",
       "11     16.0                        37.0       5.0    0.0   \n",
       "\n",
       "    Strategic developments  Violence against civilians       date  negative  \\\n",
       "0                      1.0                         9.0 2022-02-27  0.443752   \n",
       "1                      2.0                         7.0 2022-02-28  0.439319   \n",
       "2                      3.0                         5.0 2022-03-01  0.478469   \n",
       "3                      4.0                         1.0 2022-03-02  0.460052   \n",
       "4                      6.0                         4.0 2022-03-03  0.470333   \n",
       "5                      1.0                         3.0 2022-03-04  0.513187   \n",
       "6                      3.0                         7.0 2022-03-05  0.462307   \n",
       "7                      1.0                         6.0 2022-03-06  0.479728   \n",
       "8                      0.0                         5.0 2022-03-07  0.452198   \n",
       "9                      9.0                         5.0 2022-03-08  0.423213   \n",
       "10                     9.0                         6.0 2022-03-09  0.486103   \n",
       "11                     5.0                         5.0 2022-03-10  0.489031   \n",
       "\n",
       "     neutral  positive     anger       joy  optimism   sadness  \n",
       "0   0.405573  0.150675  0.536336  0.135499  0.174419  0.153746  \n",
       "1   0.421409  0.139272  0.533962  0.139348  0.170520  0.156170  \n",
       "2   0.394266  0.127265  0.538898  0.122757  0.159623  0.178722  \n",
       "3   0.399270  0.140677  0.515387  0.121702  0.177871  0.185040  \n",
       "4   0.399250  0.130417  0.526077  0.119452  0.172837  0.181634  \n",
       "5   0.367686  0.119127  0.541005  0.095475  0.166575  0.196945  \n",
       "6   0.390269  0.147424  0.511617  0.115166  0.192200  0.181017  \n",
       "7   0.371810  0.148462  0.525449  0.135963  0.166256  0.172332  \n",
       "8   0.376117  0.171685  0.482216  0.161560  0.165447  0.190776  \n",
       "9   0.388523  0.188264  0.447725  0.174570  0.186687  0.191017  \n",
       "10  0.383141  0.130756  0.496438  0.121341  0.171799  0.210422  \n",
       "11  0.383331  0.127639  0.495082  0.122259  0.182194  0.200466  "
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "merged_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "ede17f89",
   "metadata": {},
   "outputs": [],
   "source": [
    "event_cols = ['Battles', 'Explosions/Remote violence', 'Protests','Riots', 'Strategic developments', 'Violence against civilians']\n",
    "sentiment_cols = ['negative', 'neutral', 'positive', 'anger', 'joy', 'optimism','sadness']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "id": "327f02dc",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/tmp/ipykernel_16791/3083135227.py:12: UserWarning: Matplotlib is currently using module://matplotlib_inline.backend_inline, which is a non-GUI backend, so cannot show the figure.\n",
      "  fig.show()\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x720 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax1 = plt.subplots(figsize=(15, 10))\n",
    "ax2 = ax1.twinx()\n",
    "merged_df[event_cols].plot(kind='bar', ax=ax1, cmap='Set1')\n",
    "merged_df[sentiment_cols].plot(kind='line', linestyle='dashed', ax=ax2, cmap='Set2')\n",
    "ax1.legend(title='Events', loc='center left', bbox_to_anchor=(1.02, 0.2))\n",
    "ax2.legend(title='Sentiments', loc='upper left', bbox_to_anchor=(1.02, 0.55))\n",
    "ax1.yaxis.tick_right()\n",
    "ax2.yaxis.tick_left()\n",
    "ax1.set_title(\"Events and Sentiments by day\")\n",
    "ax1.set_xticklabels(merged_df.date.dt.strftime('%b%d').unique())\n",
    "\n",
    "fig.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "5a0158a0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x360 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "corr = merged_df.corr()\n",
    "corr = corr.loc[event_cols, sentiment_cols]\n",
    "\n",
    "sns.heatmap(corr, xticklabels=sentiment_cols, yticklabels=event_cols, linewidths=.5)"
   ]
  }
 ],
 "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": "3.8.8"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}