03-gdelt.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Gdelt Dataset: Events, Mentions, and Global Knowledge Graph\n",
    "\n",
    "http://data.gdeltproject.org/gdeltv2/masterfilelist.txt\n",
    "\n",
    "http://data.gdeltproject.org/documentation/GDELT-Event_Codebook-V2.0.pdf"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-11-12T06:05:33.734257Z",
     "start_time": "2021-11-12T06:05:33.614573Z"
    },
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "20190517211500.export.CSV.zip\r\n",
      "20190517211500.gkg.csv.zip\r\n",
      "20190517211500.mentions.CSV.zip\r\n",
      "20211105.export.CSV\r\n",
      "GDELT Wrangler - Clean.ipynb.txt\r\n",
      "GDELT_2.0_Events_Column_Labels_Header_Row_Sep2016.csv\r\n",
      "events-mentions-global-knowledge-graph.ipynb\r\n",
      "memoria.pdf\r\n"
     ]
    }
   ],
   "source": [
    "ls"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-11-12T06:08:36.853340Z",
     "start_time": "2021-11-12T06:08:36.277368Z"
    }
   },
   "outputs": [],
   "source": [
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Events"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-11-12T07:43:57.267873Z",
     "start_time": "2021-11-12T07:43:57.249851Z"
    }
   },
   "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>tableId</th>\n",
       "      <th>dataType</th>\n",
       "      <th>Empty</th>\n",
       "      <th>Description</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>GLOBALEVENTID</td>\n",
       "      <td>INTEGER</td>\n",
       "      <td>NULLABLE</td>\n",
       "      <td>Globally unique identifier assigned to each ev...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>SQLDATE</td>\n",
       "      <td>INTEGER</td>\n",
       "      <td>NULLABLE</td>\n",
       "      <td>Date the event took place in YYYYMMDD format. ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>MonthYear</td>\n",
       "      <td>INTEGER</td>\n",
       "      <td>NULLABLE</td>\n",
       "      <td>Alternative formatting of the event date, in Y...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Year</td>\n",
       "      <td>INTEGER</td>\n",
       "      <td>NULLABLE</td>\n",
       "      <td>Alternative formatting of the event date, in Y...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>FractionDate</td>\n",
       "      <td>FLOAT</td>\n",
       "      <td>NULLABLE</td>\n",
       "      <td>Alternative formatting of the event date, comp...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>56</th>\n",
       "      <td>ActionGeo_Lat</td>\n",
       "      <td>FLOAT</td>\n",
       "      <td>NULLABLE</td>\n",
       "      <td>This is the centroid latitude of the landmark ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57</th>\n",
       "      <td>ActionGeo_Long</td>\n",
       "      <td>FLOAT</td>\n",
       "      <td>NULLABLE</td>\n",
       "      <td>This is the centroid longitude of the landmark...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58</th>\n",
       "      <td>ActionGeo_FeatureID</td>\n",
       "      <td>STRING</td>\n",
       "      <td>NULLABLE</td>\n",
       "      <td>This is the GNS or GNIS FeatureID for this loc...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>59</th>\n",
       "      <td>DATEADDED</td>\n",
       "      <td>INTEGER</td>\n",
       "      <td>NULLABLE</td>\n",
       "      <td>This field stores the date the event was added...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>60</th>\n",
       "      <td>SOURCEURL</td>\n",
       "      <td>STRING</td>\n",
       "      <td>NULLABLE</td>\n",
       "      <td>This field records the URL or citation of the ...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>61 rows × 4 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                tableId dataType     Empty  \\\n",
       "0         GLOBALEVENTID  INTEGER  NULLABLE   \n",
       "1               SQLDATE  INTEGER  NULLABLE   \n",
       "2             MonthYear  INTEGER  NULLABLE   \n",
       "3                  Year  INTEGER  NULLABLE   \n",
       "4          FractionDate    FLOAT  NULLABLE   \n",
       "..                  ...      ...       ...   \n",
       "56        ActionGeo_Lat    FLOAT  NULLABLE   \n",
       "57       ActionGeo_Long    FLOAT  NULLABLE   \n",
       "58  ActionGeo_FeatureID   STRING  NULLABLE   \n",
       "59            DATEADDED  INTEGER  NULLABLE   \n",
       "60            SOURCEURL   STRING  NULLABLE   \n",
       "\n",
       "                                          Description  \n",
       "0   Globally unique identifier assigned to each ev...  \n",
       "1   Date the event took place in YYYYMMDD format. ...  \n",
       "2   Alternative formatting of the event date, in Y...  \n",
       "3   Alternative formatting of the event date, in Y...  \n",
       "4   Alternative formatting of the event date, comp...  \n",
       "..                                                ...  \n",
       "56  This is the centroid latitude of the landmark ...  \n",
       "57  This is the centroid longitude of the landmark...  \n",
       "58  This is the GNS or GNIS FeatureID for this loc...  \n",
       "59  This field stores the date the event was added...  \n",
       "60  This field records the URL or citation of the ...  \n",
       "\n",
       "[61 rows x 4 columns]"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "names = pd.read_csv('data/GDELT_2.0_Events_Column_Labels_Header_Row_Sep2016.csv')\n",
    "names"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-11-12T06:14:48.335864Z",
     "start_time": "2021-11-12T06:14:48.327431Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "GLOBALEVENTID SQLDATE MonthYear Year FractionDate Actor1Code Actor1Name Actor1CountryCode Actor1KnownGroupCode Actor1EthnicCode Actor1Religion1Code Actor1Religion2Code Actor1Type1Code Actor1Type2Code Actor1Type3Code Actor2Code Actor2Name Actor2CountryCode Actor2KnownGroupCode Actor2EthnicCode Actor2Religion1Code Actor2Religion2Code Actor2Type1Code Actor2Type2Code Actor2Type3Code IsRootEvent EventCode EventBaseCode EventRootCode QuadClass GoldsteinScale NumMentions NumSources NumArticles AvgTone Actor1Geo_Type Actor1Geo_FullName Actor1Geo_CountryCode Actor1Geo_ADM1Code Actor1Geo_ADM2Code Actor1Geo_Lat Actor1Geo_Long Actor1Geo_FeatureID Actor2Geo_Type Actor2Geo_FullName Actor2Geo_CountryCode Actor2Geo_ADM1Code Actor2Geo_ADM2Code Actor2Geo_Lat Actor2Geo_Long Actor2Geo_FeatureID ActionGeo_Type ActionGeo_FullName ActionGeo_CountryCode ActionGeo_ADM1Code ActionGeo_ADM2Code ActionGeo_Lat ActionGeo_Long ActionGeo_FeatureID DATEADDED SOURCEURL\n"
     ]
    }
   ],
   "source": [
    "print(*names['tableId'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-11-12T06:17:46.591033Z",
     "start_time": "2021-11-12T06:17:46.563767Z"
    }
   },
   "outputs": [],
   "source": [
    "# 读取15分钟的数据\n",
    "df = pd.read_csv(\"/Users/datalab/bigdata/gdelt_data/20190517211500.export.CSV.zip\",\n",
    "                 sep= '\\t', names = names['tableId'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-11-12T06:17:47.336732Z",
     "start_time": "2021-11-12T06:17:47.298152Z"
    }
   },
   "outputs": [
    {
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       "\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>GLOBALEVENTID</th>\n",
       "      <th>SQLDATE</th>\n",
       "      <th>MonthYear</th>\n",
       "      <th>Year</th>\n",
       "      <th>FractionDate</th>\n",
       "      <th>Actor1Code</th>\n",
       "      <th>Actor1Name</th>\n",
       "      <th>Actor1CountryCode</th>\n",
       "      <th>Actor1KnownGroupCode</th>\n",
       "      <th>Actor1EthnicCode</th>\n",
       "      <th>...</th>\n",
       "      <th>ActionGeo_Type</th>\n",
       "      <th>ActionGeo_FullName</th>\n",
       "      <th>ActionGeo_CountryCode</th>\n",
       "      <th>ActionGeo_ADM1Code</th>\n",
       "      <th>ActionGeo_ADM2Code</th>\n",
       "      <th>ActionGeo_Lat</th>\n",
       "      <th>ActionGeo_Long</th>\n",
       "      <th>ActionGeo_FeatureID</th>\n",
       "      <th>DATEADDED</th>\n",
       "      <th>SOURCEURL</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>846073409</td>\n",
       "      <td>20180517</td>\n",
       "      <td>201805</td>\n",
       "      <td>2018</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>4</td>\n",
       "      <td>Sunamganj, Sylhet, Bangladesh</td>\n",
       "      <td>BG</td>\n",
       "      <td>BG86</td>\n",
       "      <td>5823</td>\n",
       "      <td>25.0667</td>\n",
       "      <td>91.4000</td>\n",
       "      <td>-2737975</td>\n",
       "      <td>20190517211500</td>\n",
       "      <td>https://en.prothomalo.com/bangladesh/news/1957...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>846073410</td>\n",
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       "      <td>BGD</td>\n",
       "      <td>BANGLADESH</td>\n",
       "      <td>BGD</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>4</td>\n",
       "      <td>Hakaluki Haor, Bangladesh (general), Bangladesh</td>\n",
       "      <td>BG</td>\n",
       "      <td>BG00</td>\n",
       "      <td>5824</td>\n",
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       "      <td>92.0667</td>\n",
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       "      <td>20190517211500</td>\n",
       "      <td>https://en.prothomalo.com/bangladesh/news/1957...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
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       "      <td>846073411</td>\n",
       "      <td>20180517</td>\n",
       "      <td>201805</td>\n",
       "      <td>2018</td>\n",
       "      <td>2018.3753</td>\n",
       "      <td>BGD</td>\n",
       "      <td>BANGLADESH</td>\n",
       "      <td>BGD</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>4</td>\n",
       "      <td>Sylhet, Sylhet, Bangladesh</td>\n",
       "      <td>BG</td>\n",
       "      <td>BG86</td>\n",
       "      <td>5824</td>\n",
       "      <td>24.8967</td>\n",
       "      <td>91.8717</td>\n",
       "      <td>-2737987</td>\n",
       "      <td>20190517211500</td>\n",
       "      <td>https://en.prothomalo.com/bangladesh/news/1957...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>846073412</td>\n",
       "      <td>20180517</td>\n",
       "      <td>201805</td>\n",
       "      <td>2018</td>\n",
       "      <td>2018.3753</td>\n",
       "      <td>BUS</td>\n",
       "      <td>PRODUCER</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>2</td>\n",
       "      <td>New York, United States</td>\n",
       "      <td>US</td>\n",
       "      <td>USNY</td>\n",
       "      <td>NaN</td>\n",
       "      <td>42.1497</td>\n",
       "      <td>-74.9384</td>\n",
       "      <td>NY</td>\n",
       "      <td>20190517211500</td>\n",
       "      <td>https://dailytimes.com.pk/396172/shahrukh-khan...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>846073413</td>\n",
       "      <td>20180517</td>\n",
       "      <td>201805</td>\n",
       "      <td>2018</td>\n",
       "      <td>2018.3753</td>\n",
       "      <td>EDU</td>\n",
       "      <td>SCHOOL</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>2</td>\n",
       "      <td>Florida, United States</td>\n",
       "      <td>US</td>\n",
       "      <td>USFL</td>\n",
       "      <td>NaN</td>\n",
       "      <td>27.8333</td>\n",
       "      <td>-81.7170</td>\n",
       "      <td>FL</td>\n",
       "      <td>20190517211500</td>\n",
       "      <td>https://wrex.com/category/2019/05/17/florida-s...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1617</th>\n",
       "      <td>846075026</td>\n",
       "      <td>20190517</td>\n",
       "      <td>201905</td>\n",
       "      <td>2019</td>\n",
       "      <td>2019.3753</td>\n",
       "      <td>sco</td>\n",
       "      <td>SCOTTISH</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>sco</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>Russia</td>\n",
       "      <td>RS</td>\n",
       "      <td>RS</td>\n",
       "      <td>NaN</td>\n",
       "      <td>60.0000</td>\n",
       "      <td>100.0000</td>\n",
       "      <td>RS</td>\n",
       "      <td>20190517211500</td>\n",
       "      <td>https://2paragraphs.com/2019/05/gene-simmons-e...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1618</th>\n",
       "      <td>846075027</td>\n",
       "      <td>20190517</td>\n",
       "      <td>201905</td>\n",
       "      <td>2019</td>\n",
       "      <td>2019.3753</td>\n",
       "      <td>sco</td>\n",
       "      <td>SCOTTISH</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>sco</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>Russia</td>\n",
       "      <td>RS</td>\n",
       "      <td>RS</td>\n",
       "      <td>NaN</td>\n",
       "      <td>60.0000</td>\n",
       "      <td>100.0000</td>\n",
       "      <td>RS</td>\n",
       "      <td>20190517211500</td>\n",
       "      <td>https://2paragraphs.com/2019/05/gene-simmons-e...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1619</th>\n",
       "      <td>846075028</td>\n",
       "      <td>20190517</td>\n",
       "      <td>201905</td>\n",
       "      <td>2019</td>\n",
       "      <td>2019.3753</td>\n",
       "      <td>tms</td>\n",
       "      <td>TAMA</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>tms</td>\n",
       "      <td>...</td>\n",
       "      <td>2</td>\n",
       "      <td>Iowa, United States</td>\n",
       "      <td>US</td>\n",
       "      <td>USIA</td>\n",
       "      <td>NaN</td>\n",
       "      <td>42.0046</td>\n",
       "      <td>-93.2140</td>\n",
       "      <td>IA</td>\n",
       "      <td>20190517211500</td>\n",
       "      <td>https://www.timesrepublican.com/news/todays-ne...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1620</th>\n",
       "      <td>846075029</td>\n",
       "      <td>20190517</td>\n",
       "      <td>201905</td>\n",
       "      <td>2019</td>\n",
       "      <td>2019.3753</td>\n",
       "      <td>tms</td>\n",
       "      <td>TAMA</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>tms</td>\n",
       "      <td>...</td>\n",
       "      <td>3</td>\n",
       "      <td>Marshall County, Iowa, United States</td>\n",
       "      <td>US</td>\n",
       "      <td>USIA</td>\n",
       "      <td>NaN</td>\n",
       "      <td>42.0333</td>\n",
       "      <td>-93.0008</td>\n",
       "      <td>465252</td>\n",
       "      <td>20190517211500</td>\n",
       "      <td>https://www.timesrepublican.com/news/todays-ne...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1621</th>\n",
       "      <td>846075030</td>\n",
       "      <td>20190517</td>\n",
       "      <td>201905</td>\n",
       "      <td>2019</td>\n",
       "      <td>2019.3753</td>\n",
       "      <td>tms</td>\n",
       "      <td>TAMA</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>tms</td>\n",
       "      <td>...</td>\n",
       "      <td>2</td>\n",
       "      <td>Iowa, United States</td>\n",
       "      <td>US</td>\n",
       "      <td>USIA</td>\n",
       "      <td>NaN</td>\n",
       "      <td>42.0046</td>\n",
       "      <td>-93.2140</td>\n",
       "      <td>IA</td>\n",
       "      <td>20190517211500</td>\n",
       "      <td>https://www.timesrepublican.com/news/todays-ne...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1622 rows × 61 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      GLOBALEVENTID   SQLDATE  MonthYear  Year  FractionDate Actor1Code  \\\n",
       "0         846073409  20180517     201805  2018     2018.3753        NaN   \n",
       "1         846073410  20180517     201805  2018     2018.3753        BGD   \n",
       "2         846073411  20180517     201805  2018     2018.3753        BGD   \n",
       "3         846073412  20180517     201805  2018     2018.3753        BUS   \n",
       "4         846073413  20180517     201805  2018     2018.3753        EDU   \n",
       "...             ...       ...        ...   ...           ...        ...   \n",
       "1617      846075026  20190517     201905  2019     2019.3753        sco   \n",
       "1618      846075027  20190517     201905  2019     2019.3753        sco   \n",
       "1619      846075028  20190517     201905  2019     2019.3753        tms   \n",
       "1620      846075029  20190517     201905  2019     2019.3753        tms   \n",
       "1621      846075030  20190517     201905  2019     2019.3753        tms   \n",
       "\n",
       "      Actor1Name Actor1CountryCode Actor1KnownGroupCode Actor1EthnicCode  ...  \\\n",
       "0            NaN               NaN                  NaN              NaN  ...   \n",
       "1     BANGLADESH               BGD                  NaN              NaN  ...   \n",
       "2     BANGLADESH               BGD                  NaN              NaN  ...   \n",
       "3       PRODUCER               NaN                  NaN              NaN  ...   \n",
       "4         SCHOOL               NaN                  NaN              NaN  ...   \n",
       "...          ...               ...                  ...              ...  ...   \n",
       "1617    SCOTTISH               NaN                  NaN              sco  ...   \n",
       "1618    SCOTTISH               NaN                  NaN              sco  ...   \n",
       "1619        TAMA               NaN                  NaN              tms  ...   \n",
       "1620        TAMA               NaN                  NaN              tms  ...   \n",
       "1621        TAMA               NaN                  NaN              tms  ...   \n",
       "\n",
       "     ActionGeo_Type                               ActionGeo_FullName  \\\n",
       "0                 4                    Sunamganj, Sylhet, Bangladesh   \n",
       "1                 4  Hakaluki Haor, Bangladesh (general), Bangladesh   \n",
       "2                 4                       Sylhet, Sylhet, Bangladesh   \n",
       "3                 2                          New York, United States   \n",
       "4                 2                           Florida, United States   \n",
       "...             ...                                              ...   \n",
       "1617              1                                           Russia   \n",
       "1618              1                                           Russia   \n",
       "1619              2                              Iowa, United States   \n",
       "1620              3             Marshall County, Iowa, United States   \n",
       "1621              2                              Iowa, United States   \n",
       "\n",
       "     ActionGeo_CountryCode ActionGeo_ADM1Code  ActionGeo_ADM2Code  \\\n",
       "0                       BG               BG86                5823   \n",
       "1                       BG               BG00                5824   \n",
       "2                       BG               BG86                5824   \n",
       "3                       US               USNY                 NaN   \n",
       "4                       US               USFL                 NaN   \n",
       "...                    ...                ...                 ...   \n",
       "1617                    RS                 RS                 NaN   \n",
       "1618                    RS                 RS                 NaN   \n",
       "1619                    US               USIA                 NaN   \n",
       "1620                    US               USIA                 NaN   \n",
       "1621                    US               USIA                 NaN   \n",
       "\n",
       "     ActionGeo_Lat ActionGeo_Long ActionGeo_FeatureID       DATEADDED  \\\n",
       "0          25.0667        91.4000            -2737975  20190517211500   \n",
       "1          24.6667        92.0667            -2721111  20190517211500   \n",
       "2          24.8967        91.8717            -2737987  20190517211500   \n",
       "3          42.1497       -74.9384                  NY  20190517211500   \n",
       "4          27.8333       -81.7170                  FL  20190517211500   \n",
       "...            ...            ...                 ...             ...   \n",
       "1617       60.0000       100.0000                  RS  20190517211500   \n",
       "1618       60.0000       100.0000                  RS  20190517211500   \n",
       "1619       42.0046       -93.2140                  IA  20190517211500   \n",
       "1620       42.0333       -93.0008              465252  20190517211500   \n",
       "1621       42.0046       -93.2140                  IA  20190517211500   \n",
       "\n",
       "                                              SOURCEURL  \n",
       "0     https://en.prothomalo.com/bangladesh/news/1957...  \n",
       "1     https://en.prothomalo.com/bangladesh/news/1957...  \n",
       "2     https://en.prothomalo.com/bangladesh/news/1957...  \n",
       "3     https://dailytimes.com.pk/396172/shahrukh-khan...  \n",
       "4     https://wrex.com/category/2019/05/17/florida-s...  \n",
       "...                                                 ...  \n",
       "1617  https://2paragraphs.com/2019/05/gene-simmons-e...  \n",
       "1618  https://2paragraphs.com/2019/05/gene-simmons-e...  \n",
       "1619  https://www.timesrepublican.com/news/todays-ne...  \n",
       "1620  https://www.timesrepublican.com/news/todays-ne...  \n",
       "1621  https://www.timesrepublican.com/news/todays-ne...  \n",
       "\n",
       "[1622 rows x 61 columns]"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import seaborn as sns\n",
    "import pylab as plt\n",
    "\n",
    "plt.rcParams['font.sans-serif'] = ['Microsoft YaHei']  # 用来正常显示中文标签\n",
    "plt.rcParams['axes.unicode_minus'] = False  # 用来正常显示负号, 注意['SimHei']对应这句不行."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "All GDELTAll GDELT Event Files http://data.gdeltproject.org/events/index.html\n",
    "\n",
    "Codebook http://data.gdeltproject.org/documentation/GDELT-Event_Codebook-V2.0.pdf"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 读取一天的数据\n",
    "df = pd.read_csv('/Users/datalab/bigdata/gdelt_data/20211105.export.CSV', \n",
    "                 sep= '\\t', names =  names['tableId'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.style.use('ggplot')\n",
    "plt.plot(df['NumMentions'], df['NumSources'], 'ro', alpha = 0.1)\n",
    "plt.xscale('log')\n",
    "plt.yscale('log');"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.style.use('ggplot')\n",
    "plt.plot(df['NumMentions'], df['NumArticles'], 'ro', alpha = 0.1)\n",
    "plt.xscale('log')\n",
    "plt.yscale('log');"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.style.use('ggplot')\n",
    "plt.plot(df['NumSources'], df['NumArticles'], 'ro', alpha = 0.1)\n",
    "plt.xscale('log')\n",
    "plt.yscale('log');"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 800x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize =(8, 8), dpi = 100)\n",
    "\n",
    "sns.lineplot(data = df, x = 'NumMentions', y = 'NumSources', \n",
    "             hue = 'QuadClass', style = 'QuadClass',\n",
    "            markers=True, dashes=False\n",
    "            )\n",
    "plt.xscale('log')\n",
    "plt.yscale('log')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Mentions\n",
    "\n",
    "The Mentions table is a new addition to GDELT 2.0 and records each mention of the events in the Event\n",
    "table, making it possible to track the trajectory and network structure of a story as it flows through the\n",
    "global media system. \n",
    "\n",
    "Each mention of an event receives its own entry in the Mentions table. \n",
    "\n",
    "- an event which is mentioned in 100 articles will be listed 100 times in the Mentions table. \n",
    "\n",
    "- Mentions are recorded irrespective of the date of the original event, meaning that a mention today of an event from a year ago will still be recorded, making it possible to trace discussion of “anniversary events” or historical events being recontextualized into present actions. \n",
    "\n",
    "- If a news report mentions multiple events, each mention is recorded separately in this table. \n",
    "\n",
    "\n",
    "As an event is mentioned across multiple news reports, each of those mentions is recorded in the Mentions table, along with several key indicators about that mention, including the location within the article where the mention appeared (in the lead paragraph versus being buried at the bottom) and the “confidence” of the algorithms in their identification of the event\n",
    "from that specific news report. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-11-12T07:53:35.830594Z",
     "start_time": "2021-11-12T07:53:35.819048Z"
    }
   },
   "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>name</th>\n",
       "      <th>type</th>\n",
       "      <th>description</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>GLOBALEVENTID</td>\n",
       "      <td>INTEGER</td>\n",
       "      <td>This is the ID of the event that was mentioned...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>EventTimeDate</td>\n",
       "      <td>INTEGER</td>\n",
       "      <td>This is the 15-minute timestamp (YYYYMMDDHHMMS...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>MentionTimeDate</td>\n",
       "      <td>INTEGER</td>\n",
       "      <td>This is the 15-minute timestamp (YYYYMMDDHHMMS...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>MentionType</td>\n",
       "      <td>INTEGER</td>\n",
       "      <td>This is a numeric identifier that refers to th...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>MentionSourceName</td>\n",
       "      <td>STRING</td>\n",
       "      <td>This is a human-friendly identifier of the sou...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>MentionIdentifier</td>\n",
       "      <td>STRING</td>\n",
       "      <td>This is the unique external identifier for the...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>SentenceID</td>\n",
       "      <td>INTEGER</td>\n",
       "      <td>The sentence within the article where the even...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Actor1CharOffset</td>\n",
       "      <td>INTEGER</td>\n",
       "      <td>The location within the article (in terms of E...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Actor2CharOffset</td>\n",
       "      <td>INTEGER</td>\n",
       "      <td>The location within the article (in terms of E...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>ActionCharOffset</td>\n",
       "      <td>INTEGER</td>\n",
       "      <td>The location within the article (in terms of E...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>InRawText</td>\n",
       "      <td>INTEGER</td>\n",
       "      <td>This records whether the event was found in th...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Confidence</td>\n",
       "      <td>INTEGER</td>\n",
       "      <td>Percent confidence in the extraction of this e...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>MentionDocLen</td>\n",
       "      <td>INTEGER</td>\n",
       "      <td>The length in English characters of the source...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>MentionDocTone</td>\n",
       "      <td>FLOAT</td>\n",
       "      <td>The same contents as the AvgTone field in the ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>MentionDocTranslationInfo</td>\n",
       "      <td>STRING</td>\n",
       "      <td>This field is internally delimited by semicolo...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Extras</td>\n",
       "      <td>STRING</td>\n",
       "      <td>This field is currently blank, but is reserved...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                         name     type  \\\n",
       "0               GLOBALEVENTID  INTEGER   \n",
       "1               EventTimeDate  INTEGER   \n",
       "2             MentionTimeDate  INTEGER   \n",
       "3                 MentionType  INTEGER   \n",
       "4           MentionSourceName   STRING   \n",
       "5           MentionIdentifier   STRING   \n",
       "6                  SentenceID  INTEGER   \n",
       "7            Actor1CharOffset  INTEGER   \n",
       "8            Actor2CharOffset  INTEGER   \n",
       "9            ActionCharOffset  INTEGER   \n",
       "10                  InRawText  INTEGER   \n",
       "11                 Confidence  INTEGER   \n",
       "12              MentionDocLen  INTEGER   \n",
       "13             MentionDocTone    FLOAT   \n",
       "14  MentionDocTranslationInfo   STRING   \n",
       "15                     Extras   STRING   \n",
       "\n",
       "                                          description  \n",
       "0   This is the ID of the event that was mentioned...  \n",
       "1   This is the 15-minute timestamp (YYYYMMDDHHMMS...  \n",
       "2   This is the 15-minute timestamp (YYYYMMDDHHMMS...  \n",
       "3   This is a numeric identifier that refers to th...  \n",
       "4   This is a human-friendly identifier of the sou...  \n",
       "5   This is the unique external identifier for the...  \n",
       "6   The sentence within the article where the even...  \n",
       "7   The location within the article (in terms of E...  \n",
       "8   The location within the article (in terms of E...  \n",
       "9   The location within the article (in terms of E...  \n",
       "10  This records whether the event was found in th...  \n",
       "11  Percent confidence in the extraction of this e...  \n",
       "12  The length in English characters of the source...  \n",
       "13  The same contents as the AvgTone field in the ...  \n",
       "14  This field is internally delimited by semicolo...  \n",
       "15  This field is currently blank, but is reserved...  "
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mnames = pd.read_csv('mentions.csv')\n",
    "mnames"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-11-12T07:53:53.600336Z",
     "start_time": "2021-11-12T07:53:53.569369Z"
    }
   },
   "outputs": [],
   "source": [
    "dm = pd.read_csv(\"20190517211500.mentions.CSV.zip\", sep= '\\t', names = mnames['name'])\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-11-12T07:53:54.244387Z",
     "start_time": "2021-11-12T07:53:54.226506Z"
    }
   },
   "outputs": [
    {
     "data": {
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       "    <tr style=\"text-align: right;\">\n",
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       "      <th>GLOBALEVENTID</th>\n",
       "      <th>EventTimeDate</th>\n",
       "      <th>MentionTimeDate</th>\n",
       "      <th>MentionType</th>\n",
       "      <th>MentionSourceName</th>\n",
       "      <th>MentionIdentifier</th>\n",
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       "      <th>InRawText</th>\n",
       "      <th>Confidence</th>\n",
       "      <th>MentionDocLen</th>\n",
       "      <th>MentionDocTone</th>\n",
       "      <th>MentionDocTranslationInfo</th>\n",
       "      <th>Extras</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>846073409</td>\n",
       "      <td>20190517211500</td>\n",
       "      <td>20190517211500</td>\n",
       "      <td>1</td>\n",
       "      <td>prothomalo.com</td>\n",
       "      <td>https://en.prothomalo.com/bangladesh/news/1957...</td>\n",
       "      <td>1</td>\n",
       "      <td>-1</td>\n",
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       "      <td>1</td>\n",
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       "      <td>2277</td>\n",
       "      <td>0.546448</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>846052753</td>\n",
       "      <td>20190517191500</td>\n",
       "      <td>20190517211500</td>\n",
       "      <td>1</td>\n",
       "      <td>calgarysun.com</td>\n",
       "      <td>https://calgarysun.com/news/crime/macs-killer-...</td>\n",
       "      <td>16</td>\n",
       "      <td>-1</td>\n",
       "      <td>3395</td>\n",
       "      <td>3422</td>\n",
       "      <td>1</td>\n",
       "      <td>100</td>\n",
       "      <td>4000</td>\n",
       "      <td>-3.863988</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>846041561</td>\n",
       "      <td>20190517181500</td>\n",
       "      <td>20190517211500</td>\n",
       "      <td>1</td>\n",
       "      <td>azcentral.com</td>\n",
       "      <td>https://www.azcentral.com/story/travel/news/20...</td>\n",
       "      <td>12</td>\n",
       "      <td>-1</td>\n",
       "      <td>3274</td>\n",
       "      <td>3176</td>\n",
       "      <td>0</td>\n",
       "      <td>10</td>\n",
       "      <td>6917</td>\n",
       "      <td>-2.144772</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "      <td>20190517181500</td>\n",
       "      <td>20190517211500</td>\n",
       "      <td>1</td>\n",
       "      <td>wtop.com</td>\n",
       "      <td>https://wtop.com/latin-america/2019/05/cuba-be...</td>\n",
       "      <td>7</td>\n",
       "      <td>-1</td>\n",
       "      <td>2621</td>\n",
       "      <td>2523</td>\n",
       "      <td>1</td>\n",
       "      <td>50</td>\n",
       "      <td>6332</td>\n",
       "      <td>-2.198853</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>846041562</td>\n",
       "      <td>20190517181500</td>\n",
       "      <td>20190517211500</td>\n",
       "      <td>1</td>\n",
       "      <td>azcentral.com</td>\n",
       "      <td>https://www.azcentral.com/story/travel/news/20...</td>\n",
       "      <td>12</td>\n",
       "      <td>-1</td>\n",
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       "      <td>-2.144772</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
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       "    <tr>\n",
       "      <th>8183</th>\n",
       "      <td>846075026</td>\n",
       "      <td>20190517211500</td>\n",
       "      <td>20190517211500</td>\n",
       "      <td>1</td>\n",
       "      <td>2paragraphs.com</td>\n",
       "      <td>https://2paragraphs.com/2019/05/gene-simmons-e...</td>\n",
       "      <td>1</td>\n",
       "      <td>398</td>\n",
       "      <td>664</td>\n",
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       "      <td>846075027</td>\n",
       "      <td>20190517211500</td>\n",
       "      <td>20190517211500</td>\n",
       "      <td>1</td>\n",
       "      <td>2paragraphs.com</td>\n",
       "      <td>https://2paragraphs.com/2019/05/gene-simmons-e...</td>\n",
       "      <td>1</td>\n",
       "      <td>398</td>\n",
       "      <td>606</td>\n",
       "      <td>595</td>\n",
       "      <td>1</td>\n",
       "      <td>60</td>\n",
       "      <td>1305</td>\n",
       "      <td>3.448276</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "    <tr>\n",
       "      <th>8185</th>\n",
       "      <td>846075028</td>\n",
       "      <td>20190517211500</td>\n",
       "      <td>20190517211500</td>\n",
       "      <td>1</td>\n",
       "      <td>timesrepublican.com</td>\n",
       "      <td>https://www.timesrepublican.com/news/todays-ne...</td>\n",
       "      <td>5</td>\n",
       "      <td>1087</td>\n",
       "      <td>-1</td>\n",
       "      <td>1150</td>\n",
       "      <td>1</td>\n",
       "      <td>10</td>\n",
       "      <td>2730</td>\n",
       "      <td>-7.226107</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "    <tr>\n",
       "      <th>8186</th>\n",
       "      <td>846075029</td>\n",
       "      <td>20190517211500</td>\n",
       "      <td>20190517211500</td>\n",
       "      <td>1</td>\n",
       "      <td>timesrepublican.com</td>\n",
       "      <td>https://www.timesrepublican.com/news/todays-ne...</td>\n",
       "      <td>5</td>\n",
       "      <td>1087</td>\n",
       "      <td>1200</td>\n",
       "      <td>1175</td>\n",
       "      <td>0</td>\n",
       "      <td>10</td>\n",
       "      <td>2730</td>\n",
       "      <td>-7.226107</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8187</th>\n",
       "      <td>846075030</td>\n",
       "      <td>20190517211500</td>\n",
       "      <td>20190517211500</td>\n",
       "      <td>1</td>\n",
       "      <td>timesrepublican.com</td>\n",
       "      <td>https://www.timesrepublican.com/news/todays-ne...</td>\n",
       "      <td>5</td>\n",
       "      <td>1087</td>\n",
       "      <td>1229</td>\n",
       "      <td>1175</td>\n",
       "      <td>0</td>\n",
       "      <td>10</td>\n",
       "      <td>2730</td>\n",
       "      <td>-7.226107</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>8188 rows × 16 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      GLOBALEVENTID   EventTimeDate  MentionTimeDate  MentionType  \\\n",
       "0         846073409  20190517211500   20190517211500            1   \n",
       "1         846052753  20190517191500   20190517211500            1   \n",
       "2         846041561  20190517181500   20190517211500            1   \n",
       "3         846041562  20190517181500   20190517211500            1   \n",
       "4         846041562  20190517181500   20190517211500            1   \n",
       "...             ...             ...              ...          ...   \n",
       "8183      846075026  20190517211500   20190517211500            1   \n",
       "8184      846075027  20190517211500   20190517211500            1   \n",
       "8185      846075028  20190517211500   20190517211500            1   \n",
       "8186      846075029  20190517211500   20190517211500            1   \n",
       "8187      846075030  20190517211500   20190517211500            1   \n",
       "\n",
       "        MentionSourceName                                  MentionIdentifier  \\\n",
       "0          prothomalo.com  https://en.prothomalo.com/bangladesh/news/1957...   \n",
       "1          calgarysun.com  https://calgarysun.com/news/crime/macs-killer-...   \n",
       "2           azcentral.com  https://www.azcentral.com/story/travel/news/20...   \n",
       "3                wtop.com  https://wtop.com/latin-america/2019/05/cuba-be...   \n",
       "4           azcentral.com  https://www.azcentral.com/story/travel/news/20...   \n",
       "...                   ...                                                ...   \n",
       "8183      2paragraphs.com  https://2paragraphs.com/2019/05/gene-simmons-e...   \n",
       "8184      2paragraphs.com  https://2paragraphs.com/2019/05/gene-simmons-e...   \n",
       "8185  timesrepublican.com  https://www.timesrepublican.com/news/todays-ne...   \n",
       "8186  timesrepublican.com  https://www.timesrepublican.com/news/todays-ne...   \n",
       "8187  timesrepublican.com  https://www.timesrepublican.com/news/todays-ne...   \n",
       "\n",
       "      SentenceID  Actor1CharOffset  Actor2CharOffset  ActionCharOffset  \\\n",
       "0              1                -1               124               139   \n",
       "1             16                -1              3395              3422   \n",
       "2             12                -1              3274              3176   \n",
       "3              7                -1              2621              2523   \n",
       "4             12                -1              3274              3176   \n",
       "...          ...               ...               ...               ...   \n",
       "8183           1               398               664               651   \n",
       "8184           1               398               606               595   \n",
       "8185           5              1087                -1              1150   \n",
       "8186           5              1087              1200              1175   \n",
       "8187           5              1087              1229              1175   \n",
       "\n",
       "      InRawText  Confidence  MentionDocLen  MentionDocTone  \\\n",
       "0             1         100           2277        0.546448   \n",
       "1             1         100           4000       -3.863988   \n",
       "2             0          10           6917       -2.144772   \n",
       "3             1          50           6332       -2.198853   \n",
       "4             1          40           6917       -2.144772   \n",
       "...         ...         ...            ...             ...   \n",
       "8183          0          20           1305        3.448276   \n",
       "8184          1          60           1305        3.448276   \n",
       "8185          1          10           2730       -7.226107   \n",
       "8186          0          10           2730       -7.226107   \n",
       "8187          0          10           2730       -7.226107   \n",
       "\n",
       "      MentionDocTranslationInfo  Extras  \n",
       "0                           NaN     NaN  \n",
       "1                           NaN     NaN  \n",
       "2                           NaN     NaN  \n",
       "3                           NaN     NaN  \n",
       "4                           NaN     NaN  \n",
       "...                         ...     ...  \n",
       "8183                        NaN     NaN  \n",
       "8184                        NaN     NaN  \n",
       "8185                        NaN     NaN  \n",
       "8186                        NaN     NaN  \n",
       "8187                        NaN     NaN  \n",
       "\n",
       "[8188 rows x 16 columns]"
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dm"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "\n",
    "## Knowledge Graph\n",
    "\n",
    "https://github.com/linwoodc3/gdeltPyR/blob/master/data/gkg2.csv\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-11-12T07:42:56.715301Z",
     "start_time": "2021-11-12T07:42:56.700912Z"
    }
   },
   "outputs": [
    {
     "data": {
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       "      <th>0</th>\n",
       "      <td>GKGRECORDID</td>\n",
       "      <td>STRING</td>\n",
       "      <td>Each GKG record is assigned a globally unique ...</td>\n",
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       "    <tr>\n",
       "      <th>1</th>\n",
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       "      <td>This is the date in YYYYMMDDHHMMSS format on w...</td>\n",
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       "      <td>STRING</td>\n",
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       "      <th>4</th>\n",
       "      <td>DocumentIdentifier</td>\n",
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       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Counts</td>\n",
       "      <td>STRING</td>\n",
       "      <td>This is the list of Counts found in this docum...</td>\n",
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       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>V2Counts</td>\n",
       "      <td>STRING</td>\n",
       "      <td>This field is identical to the V1COUNTS field ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Themes</td>\n",
       "      <td>STRING</td>\n",
       "      <td>This is the list of all Themes found in the do...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>V2Themes</td>\n",
       "      <td>STRING</td>\n",
       "      <td>This contains a list of all GKG themes referen...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Locations</td>\n",
       "      <td>STRING</td>\n",
       "      <td>This is a list of all locations found in the t...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>V2Locations</td>\n",
       "      <td>STRING</td>\n",
       "      <td>This field is identical to the V1LOCATIONS fie...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Persons</td>\n",
       "      <td>STRING</td>\n",
       "      <td>This is the list of all person names found in ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>V2Persons</td>\n",
       "      <td>STRING</td>\n",
       "      <td>This contains a list of all person names refer...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Organizations</td>\n",
       "      <td>STRING</td>\n",
       "      <td>This is the list of all company and organizati...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>V2Organizations</td>\n",
       "      <td>STRING</td>\n",
       "      <td>This contains a list of all organizations/comp...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>V2Tone</td>\n",
       "      <td>STRING</td>\n",
       "      <td>This field contains a comma-delimited\\nlist of...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>Dates</td>\n",
       "      <td>STRING</td>\n",
       "      <td>This contains a list of all date references in...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>GCAM</td>\n",
       "      <td>STRING</td>\n",
       "      <td>The Global Content Analysis Measures (GCAM) sy...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>SharingImage</td>\n",
       "      <td>STRING</td>\n",
       "      <td>Many news websites specify a so-called “sharin...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>RelatedImages</td>\n",
       "      <td>STRING</td>\n",
       "      <td>News articles frequently include photographs, ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>SocialImageEmbeds</td>\n",
       "      <td>STRING</td>\n",
       "      <td>News websites are increasingly embedding image...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>SocialVideoEmbeds</td>\n",
       "      <td>STRING</td>\n",
       "      <td>News websites are increasingly\\nembedding vide...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>Quotations</td>\n",
       "      <td>STRING</td>\n",
       "      <td>News coverage frequently features excerpted st...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>AllNames</td>\n",
       "      <td>STRING</td>\n",
       "      <td>This field contains a list of all proper names...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>Amounts</td>\n",
       "      <td>STRING</td>\n",
       "      <td>This field contains a list of all precise nume...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>TranslationInfo</td>\n",
       "      <td>STRING</td>\n",
       "      <td>This field is used to record provenance inform...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>Extras</td>\n",
       "      <td>STRING</td>\n",
       "      <td>This field is reserved to hold special non-sta...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                          name     type  \\\n",
       "0                  GKGRECORDID   STRING   \n",
       "1                         DATE  INTEGER   \n",
       "2   SourceCollectionIdentifier  INTEGER   \n",
       "3             SourceCommonName   STRING   \n",
       "4           DocumentIdentifier   STRING   \n",
       "5                       Counts   STRING   \n",
       "6                     V2Counts   STRING   \n",
       "7                       Themes   STRING   \n",
       "8                     V2Themes   STRING   \n",
       "9                    Locations   STRING   \n",
       "10                 V2Locations   STRING   \n",
       "11                     Persons   STRING   \n",
       "12                   V2Persons   STRING   \n",
       "13               Organizations   STRING   \n",
       "14             V2Organizations   STRING   \n",
       "15                      V2Tone   STRING   \n",
       "16                       Dates   STRING   \n",
       "17                        GCAM   STRING   \n",
       "18                SharingImage   STRING   \n",
       "19               RelatedImages   STRING   \n",
       "20           SocialImageEmbeds   STRING   \n",
       "21           SocialVideoEmbeds   STRING   \n",
       "22                  Quotations   STRING   \n",
       "23                    AllNames   STRING   \n",
       "24                     Amounts   STRING   \n",
       "25             TranslationInfo   STRING   \n",
       "26                      Extras   STRING   \n",
       "\n",
       "                                          description  \n",
       "0   Each GKG record is assigned a globally unique ...  \n",
       "1   This is the date in YYYYMMDDHHMMSS format on w...  \n",
       "2   This is a numeric identifier that refers to th...  \n",
       "3   This is a human-friendly identifier of the sou...  \n",
       "4   This is the unique external identifier for the...  \n",
       "5   This is the list of Counts found in this docum...  \n",
       "6   This field is identical to the V1COUNTS field ...  \n",
       "7   This is the list of all Themes found in the do...  \n",
       "8   This contains a list of all GKG themes referen...  \n",
       "9   This is a list of all locations found in the t...  \n",
       "10  This field is identical to the V1LOCATIONS fie...  \n",
       "11  This is the list of all person names found in ...  \n",
       "12  This contains a list of all person names refer...  \n",
       "13  This is the list of all company and organizati...  \n",
       "14  This contains a list of all organizations/comp...  \n",
       "15  This field contains a comma-delimited\\nlist of...  \n",
       "16  This contains a list of all date references in...  \n",
       "17  The Global Content Analysis Measures (GCAM) sy...  \n",
       "18  Many news websites specify a so-called “sharin...  \n",
       "19  News articles frequently include photographs, ...  \n",
       "20  News websites are increasingly embedding image...  \n",
       "21  News websites are increasingly\\nembedding vide...  \n",
       "22  News coverage frequently features excerpted st...  \n",
       "23  This field contains a list of all proper names...  \n",
       "24  This field contains a list of all precise nume...  \n",
       "25  This field is used to record provenance inform...  \n",
       "26  This field is reserved to hold special non-sta...  "
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "gnames = pd.read_csv('gkg2.csv')\n",
    "gnames"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-11-12T07:43:23.122210Z",
     "start_time": "2021-11-12T07:43:22.731398Z"
    }
   },
   "outputs": [],
   "source": [
    "dg = pd.read_csv('20190517211500.gkg.csv.zip', sep = '\\t', names = gnames['name'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-11-12T07:43:23.592957Z",
     "start_time": "2021-11-12T07:43:23.556565Z"
    }
   },
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>GKGRECORDID</th>\n",
       "      <th>DATE</th>\n",
       "      <th>SourceCollectionIdentifier</th>\n",
       "      <th>SourceCommonName</th>\n",
       "      <th>DocumentIdentifier</th>\n",
       "      <th>Counts</th>\n",
       "      <th>V2Counts</th>\n",
       "      <th>Themes</th>\n",
       "      <th>V2Themes</th>\n",
       "      <th>Locations</th>\n",
       "      <th>...</th>\n",
       "      <th>GCAM</th>\n",
       "      <th>SharingImage</th>\n",
       "      <th>RelatedImages</th>\n",
       "      <th>SocialImageEmbeds</th>\n",
       "      <th>SocialVideoEmbeds</th>\n",
       "      <th>Quotations</th>\n",
       "      <th>AllNames</th>\n",
       "      <th>Amounts</th>\n",
       "      <th>TranslationInfo</th>\n",
       "      <th>Extras</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>20190517211500-0</td>\n",
       "      <td>20190517211500</td>\n",
       "      <td>1</td>\n",
       "      <td>wicc600.com</td>\n",
       "      <td>http://www.wicc600.com/winners/</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>ECON_TAXATION;USPEC_POLICY1;EPU_POLICY;EPU_POL...</td>\n",
       "      <td>ECON_TAXATION,124;USPEC_POLICY1,124;EPU_POLICY...</td>\n",
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       "      <td>...</td>\n",
       "      <td>wc:126,c12.1:15,c12.10:6,c12.12:4,c12.13:4,c12...</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>600,dollars ,203;</td>\n",
       "      <td>NaN</td>\n",
       "      <td>&lt;PAGE_AUTHORS&gt;mboyd&lt;/PAGE_AUTHORS&gt;</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>20190517211500-1</td>\n",
       "      <td>20190517211500</td>\n",
       "      <td>1</td>\n",
       "      <td>hot1073jamz.com</td>\n",
       "      <td>https://hot1073jamz.com/report-whataburger-is-...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2#Arkansas, United States#US#USAR#34.9513#-92....</td>\n",
       "      <td>...</td>\n",
       "      <td>wc:204,c12.1:8,c12.10:10,c12.12:2,c12.13:7,c12...</td>\n",
       "      <td>https://townsquare.media/site/156/files/2017/0...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://youtube.com/watch?v=9zCZ8WRnG4U;https:...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>New Mexico,427;Morgan Stanley,821;Corpus Chris...</td>\n",
       "      <td>820,locations,189;670,of which,202;7,nationall...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>&lt;PAGE_LINKS&gt;https://www.mysanantonio.com/busin...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>20190517211500-2</td>\n",
       "      <td>20190517211500</td>\n",
       "      <td>1</td>\n",
       "      <td>thewesterlysun.com</td>\n",
       "      <td>https://www.thewesterlysun.com/news/state/seri...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>TAX_WORLDLANGUAGES;TAX_WORLDLANGUAGES_MASSACHU...</td>\n",
       "      <td>GENERAL_GOVERNMENT,639;EPU_POLICY_GOVERNMENT,6...</td>\n",
       "      <td>3#Pittsfield, Vermont, United States#US#USVT#4...</td>\n",
       "      <td>...</td>\n",
       "      <td>wc:134,c12.1:9,c12.10:9,c12.12:4,c12.13:4,c12....</td>\n",
       "      <td>https://bloximages.newyork1.vip.townnews.com/t...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://youtube.com/user/sunpublishingco/videos;</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Berkshire Eagle,254;Phillip Jordan,295</td>\n",
       "      <td>6,months,183;23,at the Canadian border,344;</td>\n",
       "      <td>NaN</td>\n",
       "      <td>&lt;PAGE_LINKS&gt;http://www.berkshireeagle.com;http...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>20190517211500-3</td>\n",
       "      <td>20190517211500</td>\n",
       "      <td>1</td>\n",
       "      <td>zerohedge.com</td>\n",
       "      <td>https://www.zerohedge.com/news/2019-05-17/here...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>EPU_ECONOMY;EPU_ECONOMY_HISTORIC;WB_698_TRADE;...</td>\n",
       "      <td>SANITATION,4617;ARMEDCONFLICT,90;ARMEDCONFLICT...</td>\n",
       "      <td>1#China#CH#CH#35#105#CH;1#United States#US#US#...</td>\n",
       "      <td>...</td>\n",
       "      <td>wc:1034,c1.2:12,c1.4:1,c12.1:112,c12.10:109,c1...</td>\n",
       "      <td>https://zh-prod-1cc738ca-7d3b-4a72-b792-20bd8d...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2735|72||sometimes struggle to afford housing ...</td>\n",
       "      <td>Atlanta Fed,2517;Urban Institute,2706;Marc Cha...</td>\n",
       "      <td>2,largest economies on the,495;15,numbers,1001...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>&lt;PAGE_LINKS&gt;http://theeconomiccollapseblog.com...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>20190517211500-4</td>\n",
       "      <td>20190517211500</td>\n",
       "      <td>1</td>\n",
       "      <td>politicususa.com</td>\n",
       "      <td>https://www.politicususa.com/2019/05/17/when-c...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>MEDIA_MSM;LEADER;TAX_FNCACT;TAX_FNCACT_PRESIDE...</td>\n",
       "      <td>TAX_POLITICAL_PARTY_REPUBLICANS,544;TAX_POLITI...</td>\n",
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       "      <td>...</td>\n",
       "      <td>wc:1479,c1.1:1,c1.4:1,c12.1:166,c12.10:192,c12...</td>\n",
       "      <td>https://www.politicususa.com/wp-content/upload...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Editor-In-Chief Sarah,65;Donald Trump,412;Sena...</td>\n",
       "      <td>2,Telly Awards,7466;</td>\n",
       "      <td>NaN</td>\n",
       "      <td>&lt;PAGE_PRECISEPUBTIMESTAMP&gt;20190517155200&lt;/PAGE...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
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       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
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       "    <tr>\n",
       "      <th>2756</th>\n",
       "      <td>20190517211500-2756</td>\n",
       "      <td>20190517211500</td>\n",
       "      <td>1</td>\n",
       "      <td>sfgate.com</td>\n",
       "      <td>https://www.sfgate.com/nation/article/House-pa...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>LEADER;USPEC_POLITICS_GENERAL1;SELF_IDENTIFIED...</td>\n",
       "      <td>LEADER,68;LEADER,2080;USPEC_POLITICS_GENERAL1,...</td>\n",
       "      <td>1#United States#US#US#39.828175#-98.5795#US;3#...</td>\n",
       "      <td>...</td>\n",
       "      <td>wc:397,c1.1:1,c1.4:1,c12.1:36,c12.10:46,c12.12...</td>\n",
       "      <td>https://s.hdnux.com/photos/01/02/52/37/1747553...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Mark Takano,17;Chad Griffin,70;Human Rights Ca...</td>\n",
       "      <td>8,Republicans,1106;</td>\n",
       "      <td>NaN</td>\n",
       "      <td>&lt;PAGE_AUTHORS&gt;Matthew Daly&lt;/PAGE_AUTHORS&gt;&lt;PAGE...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2757</th>\n",
       "      <td>20190517211500-2757</td>\n",
       "      <td>20190517211500</td>\n",
       "      <td>1</td>\n",
       "      <td>joker.com</td>\n",
       "      <td>https://joker.com/?mode=order&amp;do_next=landingp...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>EPU_ECONOMY_HISTORIC;TAX_FNCACT;TAX_FNCACT_REG...</td>\n",
       "      <td>TAX_FNCACT_REGISTRAR,66;EPU_ECONOMY_HISTORIC,4...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>wc:36,c12.1:6,c12.10:1,c12.14:1,c12.3:3,c12.4:...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>About Joker,13</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2758</th>\n",
       "      <td>20190517211500-2758</td>\n",
       "      <td>20190517211500</td>\n",
       "      <td>1</td>\n",
       "      <td>thesun.co.uk</td>\n",
       "      <td>https://www.thesun.co.uk/fabulous/9096246/worl...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>TAX_FNCACT;TAX_FNCACT_DESIGNER;MEDIA_SOCIAL;TA...</td>\n",
       "      <td>TAX_WORLDFISH_SUCKER,2436;TAX_WORLDFISH_SUCKER...</td>\n",
       "      <td>1#Jamaica#JM#JM#18.25#-77.5#JM;1#United Kingdo...</td>\n",
       "      <td>...</td>\n",
       "      <td>wc:515,c1.1:3,c12.1:64,c12.10:35,c12.12:9,c12....</td>\n",
       "      <td>https://www.thesun.co.uk/wp-content/uploads/20...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Oxford Street,397;Thursday June,461;Paq Offici...</td>\n",
       "      <td>10000,of thousands of discount,105;50,denim cr...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>&lt;PAGE_LINKS&gt;https://www.thesun.co.uk/fabulous/...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2759</th>\n",
       "      <td>20190517211500-2759</td>\n",
       "      <td>20190517211500</td>\n",
       "      <td>1</td>\n",
       "      <td>929nin.com</td>\n",
       "      <td>https://929nin.com/watch-booksmart-online/</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>EDUCATION;SOC_POINTSOFINTEREST;SOC_POINTSOFINT...</td>\n",
       "      <td>TAX_FNCACT_PRINCIPAL,532;SOC_POINTSOFINTEREST_...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>wc:142,c12.1:11,c12.10:18,c12.12:5,c12.13:5,c1...</td>\n",
       "      <td>https://townsquare.media/site/442/files/2019/0...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://youtube.com/oembed?url=https%3A%2F%2Fw...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>South By Southwest,42;Olivia Wilde,225;Kaitlyn...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>&lt;PAGE_LINKS&gt;https://screencrush.com/tags/books...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2760</th>\n",
       "      <td>20190517211500-2760</td>\n",
       "      <td>20190517211500</td>\n",
       "      <td>1</td>\n",
       "      <td>stalbansreview.co.uk</td>\n",
       "      <td>https://www.stalbansreview.co.uk/news/national...</td>\n",
       "      <td>ARREST#449##4#Glasgow, Glasgow City, United Ki...</td>\n",
       "      <td>ARREST#449##4#Glasgow, Glasgow City, United Ki...</td>\n",
       "      <td>SOC_POINTSOFINTEREST;SOC_POINTSOFINTEREST_PRIS...</td>\n",
       "      <td>GENERAL_GOVERNMENT,157;GENERAL_GOVERNMENT,686;...</td>\n",
       "      <td>4#Glasgow, Glasgow City, United Kingdom#UK#UKV...</td>\n",
       "      <td>...</td>\n",
       "      <td>wc:401,c1.3:1,c12.1:17,c12.10:39,c12.12:20,c12...</td>\n",
       "      <td>https://www.stalbansreview.co.uk/resources/ima...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Barlinnie Prison,17;Scottish Government,163;Sc...</td>\n",
       "      <td>449,prisoners,442;12,months,1334;</td>\n",
       "      <td>NaN</td>\n",
       "      <td>&lt;PAGE_PRECISEPUBTIMESTAMP&gt;20190517192400&lt;/PAGE...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2761 rows × 27 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "              GKGRECORDID            DATE  SourceCollectionIdentifier  \\\n",
       "0        20190517211500-0  20190517211500                           1   \n",
       "1        20190517211500-1  20190517211500                           1   \n",
       "2        20190517211500-2  20190517211500                           1   \n",
       "3        20190517211500-3  20190517211500                           1   \n",
       "4        20190517211500-4  20190517211500                           1   \n",
       "...                   ...             ...                         ...   \n",
       "2756  20190517211500-2756  20190517211500                           1   \n",
       "2757  20190517211500-2757  20190517211500                           1   \n",
       "2758  20190517211500-2758  20190517211500                           1   \n",
       "2759  20190517211500-2759  20190517211500                           1   \n",
       "2760  20190517211500-2760  20190517211500                           1   \n",
       "\n",
       "          SourceCommonName                                 DocumentIdentifier  \\\n",
       "0              wicc600.com                    http://www.wicc600.com/winners/   \n",
       "1          hot1073jamz.com  https://hot1073jamz.com/report-whataburger-is-...   \n",
       "2       thewesterlysun.com  https://www.thewesterlysun.com/news/state/seri...   \n",
       "3            zerohedge.com  https://www.zerohedge.com/news/2019-05-17/here...   \n",
       "4         politicususa.com  https://www.politicususa.com/2019/05/17/when-c...   \n",
       "...                    ...                                                ...   \n",
       "2756            sfgate.com  https://www.sfgate.com/nation/article/House-pa...   \n",
       "2757             joker.com  https://joker.com/?mode=order&do_next=landingp...   \n",
       "2758          thesun.co.uk  https://www.thesun.co.uk/fabulous/9096246/worl...   \n",
       "2759            929nin.com         https://929nin.com/watch-booksmart-online/   \n",
       "2760  stalbansreview.co.uk  https://www.stalbansreview.co.uk/news/national...   \n",
       "\n",
       "                                                 Counts  \\\n",
       "0                                                   NaN   \n",
       "1                                                   NaN   \n",
       "2                                                   NaN   \n",
       "3                                                   NaN   \n",
       "4                                                   NaN   \n",
       "...                                                 ...   \n",
       "2756                                                NaN   \n",
       "2757                                                NaN   \n",
       "2758                                                NaN   \n",
       "2759                                                NaN   \n",
       "2760  ARREST#449##4#Glasgow, Glasgow City, United Ki...   \n",
       "\n",
       "                                               V2Counts  \\\n",
       "0                                                   NaN   \n",
       "1                                                   NaN   \n",
       "2                                                   NaN   \n",
       "3                                                   NaN   \n",
       "4                                                   NaN   \n",
       "...                                                 ...   \n",
       "2756                                                NaN   \n",
       "2757                                                NaN   \n",
       "2758                                                NaN   \n",
       "2759                                                NaN   \n",
       "2760  ARREST#449##4#Glasgow, Glasgow City, United Ki...   \n",
       "\n",
       "                                                 Themes  \\\n",
       "0     ECON_TAXATION;USPEC_POLICY1;EPU_POLICY;EPU_POL...   \n",
       "1                                                   NaN   \n",
       "2     TAX_WORLDLANGUAGES;TAX_WORLDLANGUAGES_MASSACHU...   \n",
       "3     EPU_ECONOMY;EPU_ECONOMY_HISTORIC;WB_698_TRADE;...   \n",
       "4     MEDIA_MSM;LEADER;TAX_FNCACT;TAX_FNCACT_PRESIDE...   \n",
       "...                                                 ...   \n",
       "2756  LEADER;USPEC_POLITICS_GENERAL1;SELF_IDENTIFIED...   \n",
       "2757  EPU_ECONOMY_HISTORIC;TAX_FNCACT;TAX_FNCACT_REG...   \n",
       "2758  TAX_FNCACT;TAX_FNCACT_DESIGNER;MEDIA_SOCIAL;TA...   \n",
       "2759  EDUCATION;SOC_POINTSOFINTEREST;SOC_POINTSOFINT...   \n",
       "2760  SOC_POINTSOFINTEREST;SOC_POINTSOFINTEREST_PRIS...   \n",
       "\n",
       "                                               V2Themes  \\\n",
       "0     ECON_TAXATION,124;USPEC_POLICY1,124;EPU_POLICY...   \n",
       "1                                                   NaN   \n",
       "2     GENERAL_GOVERNMENT,639;EPU_POLICY_GOVERNMENT,6...   \n",
       "3     SANITATION,4617;ARMEDCONFLICT,90;ARMEDCONFLICT...   \n",
       "4     TAX_POLITICAL_PARTY_REPUBLICANS,544;TAX_POLITI...   \n",
       "...                                                 ...   \n",
       "2756  LEADER,68;LEADER,2080;USPEC_POLITICS_GENERAL1,...   \n",
       "2757  TAX_FNCACT_REGISTRAR,66;EPU_ECONOMY_HISTORIC,4...   \n",
       "2758  TAX_WORLDFISH_SUCKER,2436;TAX_WORLDFISH_SUCKER...   \n",
       "2759  TAX_FNCACT_PRINCIPAL,532;SOC_POINTSOFINTEREST_...   \n",
       "2760  GENERAL_GOVERNMENT,157;GENERAL_GOVERNMENT,686;...   \n",
       "\n",
       "                                              Locations  ...  \\\n",
       "0                                                   NaN  ...   \n",
       "1     2#Arkansas, United States#US#USAR#34.9513#-92....  ...   \n",
       "2     3#Pittsfield, Vermont, United States#US#USVT#4...  ...   \n",
       "3     1#China#CH#CH#35#105#CH;1#United States#US#US#...  ...   \n",
       "4     2#New York, United States#US#USNY#42.1497#-74....  ...   \n",
       "...                                                 ...  ...   \n",
       "2756  1#United States#US#US#39.828175#-98.5795#US;3#...  ...   \n",
       "2757                                                NaN  ...   \n",
       "2758  1#Jamaica#JM#JM#18.25#-77.5#JM;1#United Kingdo...  ...   \n",
       "2759                                                NaN  ...   \n",
       "2760  4#Glasgow, Glasgow City, United Kingdom#UK#UKV...  ...   \n",
       "\n",
       "                                                   GCAM  \\\n",
       "0     wc:126,c12.1:15,c12.10:6,c12.12:4,c12.13:4,c12...   \n",
       "1     wc:204,c12.1:8,c12.10:10,c12.12:2,c12.13:7,c12...   \n",
       "2     wc:134,c12.1:9,c12.10:9,c12.12:4,c12.13:4,c12....   \n",
       "3     wc:1034,c1.2:12,c1.4:1,c12.1:112,c12.10:109,c1...   \n",
       "4     wc:1479,c1.1:1,c1.4:1,c12.1:166,c12.10:192,c12...   \n",
       "...                                                 ...   \n",
       "2756  wc:397,c1.1:1,c1.4:1,c12.1:36,c12.10:46,c12.12...   \n",
       "2757  wc:36,c12.1:6,c12.10:1,c12.14:1,c12.3:3,c12.4:...   \n",
       "2758  wc:515,c1.1:3,c12.1:64,c12.10:35,c12.12:9,c12....   \n",
       "2759  wc:142,c12.1:11,c12.10:18,c12.12:5,c12.13:5,c1...   \n",
       "2760  wc:401,c1.3:1,c12.1:17,c12.10:39,c12.12:20,c12...   \n",
       "\n",
       "                                           SharingImage RelatedImages  \\\n",
       "0                                                   NaN           NaN   \n",
       "1     https://townsquare.media/site/156/files/2017/0...           NaN   \n",
       "2     https://bloximages.newyork1.vip.townnews.com/t...           NaN   \n",
       "3     https://zh-prod-1cc738ca-7d3b-4a72-b792-20bd8d...           NaN   \n",
       "4     https://www.politicususa.com/wp-content/upload...           NaN   \n",
       "...                                                 ...           ...   \n",
       "2756  https://s.hdnux.com/photos/01/02/52/37/1747553...           NaN   \n",
       "2757                                                NaN           NaN   \n",
       "2758  https://www.thesun.co.uk/wp-content/uploads/20...           NaN   \n",
       "2759  https://townsquare.media/site/442/files/2019/0...           NaN   \n",
       "2760  https://www.stalbansreview.co.uk/resources/ima...           NaN   \n",
       "\n",
       "     SocialImageEmbeds                                  SocialVideoEmbeds  \\\n",
       "0                  NaN                                                NaN   \n",
       "1                  NaN  https://youtube.com/watch?v=9zCZ8WRnG4U;https:...   \n",
       "2                  NaN   https://youtube.com/user/sunpublishingco/videos;   \n",
       "3                  NaN                                                NaN   \n",
       "4                  NaN                                                NaN   \n",
       "...                ...                                                ...   \n",
       "2756               NaN                                                NaN   \n",
       "2757               NaN                                                NaN   \n",
       "2758               NaN                                                NaN   \n",
       "2759               NaN  https://youtube.com/oembed?url=https%3A%2F%2Fw...   \n",
       "2760               NaN                                                NaN   \n",
       "\n",
       "                                             Quotations  \\\n",
       "0                                                   NaN   \n",
       "1                                                   NaN   \n",
       "2                                                   NaN   \n",
       "3     2735|72||sometimes struggle to afford housing ...   \n",
       "4                                                   NaN   \n",
       "...                                                 ...   \n",
       "2756                                                NaN   \n",
       "2757                                                NaN   \n",
       "2758                                                NaN   \n",
       "2759                                                NaN   \n",
       "2760                                                NaN   \n",
       "\n",
       "                                               AllNames  \\\n",
       "0                                                   NaN   \n",
       "1     New Mexico,427;Morgan Stanley,821;Corpus Chris...   \n",
       "2                Berkshire Eagle,254;Phillip Jordan,295   \n",
       "3     Atlanta Fed,2517;Urban Institute,2706;Marc Cha...   \n",
       "4     Editor-In-Chief Sarah,65;Donald Trump,412;Sena...   \n",
       "...                                                 ...   \n",
       "2756  Mark Takano,17;Chad Griffin,70;Human Rights Ca...   \n",
       "2757                                     About Joker,13   \n",
       "2758  Oxford Street,397;Thursday June,461;Paq Offici...   \n",
       "2759  South By Southwest,42;Olivia Wilde,225;Kaitlyn...   \n",
       "2760  Barlinnie Prison,17;Scottish Government,163;Sc...   \n",
       "\n",
       "                                                Amounts TranslationInfo  \\\n",
       "0                                     600,dollars ,203;             NaN   \n",
       "1     820,locations,189;670,of which,202;7,nationall...             NaN   \n",
       "2           6,months,183;23,at the Canadian border,344;             NaN   \n",
       "3     2,largest economies on the,495;15,numbers,1001...             NaN   \n",
       "4                                  2,Telly Awards,7466;             NaN   \n",
       "...                                                 ...             ...   \n",
       "2756                                8,Republicans,1106;             NaN   \n",
       "2757                                                NaN             NaN   \n",
       "2758  10000,of thousands of discount,105;50,denim cr...             NaN   \n",
       "2759                                                NaN             NaN   \n",
       "2760                  449,prisoners,442;12,months,1334;             NaN   \n",
       "\n",
       "                                                 Extras  \n",
       "0                    <PAGE_AUTHORS>mboyd</PAGE_AUTHORS>  \n",
       "1     <PAGE_LINKS>https://www.mysanantonio.com/busin...  \n",
       "2     <PAGE_LINKS>http://www.berkshireeagle.com;http...  \n",
       "3     <PAGE_LINKS>http://theeconomiccollapseblog.com...  \n",
       "4     <PAGE_PRECISEPUBTIMESTAMP>20190517155200</PAGE...  \n",
       "...                                                 ...  \n",
       "2756  <PAGE_AUTHORS>Matthew Daly</PAGE_AUTHORS><PAGE...  \n",
       "2757                                                NaN  \n",
       "2758  <PAGE_LINKS>https://www.thesun.co.uk/fabulous/...  \n",
       "2759  <PAGE_LINKS>https://screencrush.com/tags/books...  \n",
       "2760  <PAGE_PRECISEPUBTIMESTAMP>20190517192400</PAGE...  \n",
       "\n",
       "[2761 rows x 27 columns]"
      ]
     },
     "execution_count": 38,
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       "GKGRECORDID                                                    20190517211500-2\n",
       "DATE                                                             20190517211500\n",
       "SourceCollectionIdentifier                                                    1\n",
       "SourceCommonName                                             thewesterlysun.com\n",
       "DocumentIdentifier            https://www.thewesterlysun.com/news/state/seri...\n",
       "Counts                                                                      NaN\n",
       "V2Counts                                                                    NaN\n",
       "Themes                        TAX_WORLDLANGUAGES;TAX_WORLDLANGUAGES_MASSACHU...\n",
       "V2Themes                      GENERAL_GOVERNMENT,639;EPU_POLICY_GOVERNMENT,6...\n",
       "Locations                     3#Pittsfield, Vermont, United States#US#USVT#4...\n",
       "V2Locations                   2#Vermont, United States#US#USVT##44.0407#-72....\n",
       "Persons                                                                     NaN\n",
       "V2Persons                                                                   NaN\n",
       "Organizations                                                               NaN\n",
       "V2Organizations                                                             NaN\n",
       "V2Tone                        -6.84931506849315,1.36986301369863,8.219178082...\n",
       "Dates                                                                       NaN\n",
       "GCAM                          wc:134,c12.1:9,c12.10:9,c12.12:4,c12.13:4,c12....\n",
       "SharingImage                  https://bloximages.newyork1.vip.townnews.com/t...\n",
       "RelatedImages                                                               NaN\n",
       "SocialImageEmbeds                                                           NaN\n",
       "SocialVideoEmbeds              https://youtube.com/user/sunpublishingco/videos;\n",
       "Quotations                                                                  NaN\n",
       "AllNames                                 Berkshire Eagle,254;Phillip Jordan,295\n",
       "Amounts                             6,months,183;23,at the Canadian border,344;\n",
       "TranslationInfo                                                             NaN\n",
       "Extras                        <PAGE_LINKS>http://www.berkshireeagle.com;http...\n",
       "Name: 2, dtype: object"
      ]
     },
     "execution_count": 47,
     "metadata": {},
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    }
   ],
   "source": [
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