1343 lines
56 KiB
Text
1343 lines
56 KiB
Text
{
|
||
"cells": [
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||
{
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||
"cell_type": "markdown",
|
||
"id": "83885e86-1ccb-46ec-bee9-a33f3b541569",
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"metadata": {},
|
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"source": [
|
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"# Zusammenfassung der Analysen vom Hackathon für die Webside\n",
|
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"\n",
|
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"- womöglich zur Darstellung auf der Webside\n"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 1,
|
||
"id": "9bd1686f-9bbc-4c05-a5f5-e0c4ce653fb2",
|
||
"metadata": {
|
||
"tags": []
|
||
},
|
||
"outputs": [],
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"source": [
|
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"import numpy as np\n",
|
||
"import pandas as pd\n",
|
||
"import altair as alt"
|
||
]
|
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},
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "81780c9a-7721-438b-9726-ff5a70910ce8",
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||
"metadata": {},
|
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"source": [
|
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"## Daten aufbereitung\n",
|
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"\n",
|
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"Dump der Datenbank vom 25.03.2023. Die verschiedene Tabellen der Datenbank werden einzeln eingelesen. Zusätzlich werden alle direkt zu einem Tweet zugehörige Information in ein Datenobjekt gesammelt. Die Informationen zu den GIS-Daten zu den einzelnen Polizeistadtion (\"police_stations\") sind noch unvollständig und müssen gegebenfalls nocheinmal überprüft werden.\n",
|
||
"\n"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 45,
|
||
"id": "fcc48831-7999-4d79-b722-736715b1ced6",
|
||
"metadata": {
|
||
"tags": []
|
||
},
|
||
"outputs": [
|
||
{
|
||
"data": {
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"text/plain": [
|
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"((479991, 3), (151690, 8), (151690, 4), (13327, 3), (163, 7))"
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||
]
|
||
},
|
||
"execution_count": 45,
|
||
"metadata": {},
|
||
"output_type": "execute_result"
|
||
}
|
||
],
|
||
"source": [
|
||
"# Merging different table of old (~2021) and new (~2022) scraper\n",
|
||
"\n",
|
||
"## cols: hashtag, url, mention (same for both)\n",
|
||
"tweets_meta = pd.concat([pd.read_csv(\"data/entity_old.tsv\", sep = \"\\t\"), # data from old scraper\n",
|
||
" pd.read_csv(\"data/tweets.csv\")]) # data from new scraper\n",
|
||
"\n",
|
||
"## cols: id, tweet_text, created_at, user_id; only subset from old table (same tsv used in next step)\n",
|
||
"tweets_text = pd.concat([pd.read_csv(\"data/tweet_old.tsv\", sep = \"\\t\")[['id','tweet_text', 'created_at', 'user_id']].rename(columns = {\"id\":\"tweet_id\"}),\n",
|
||
" pd.read_csv(\"data/tweets-1679742698645.csv\")])\n",
|
||
"\n",
|
||
"## cols: id, like_count, retweet_count, reply_count, quote_count; only subset from old table\n",
|
||
"tweets_statistics = pd.concat([pd.read_csv(\"data/tweet_old.tsv\", sep = \"\\t\")[['id', 'like_count', 'retweet_count', 'reply_count', 'quote_count']].rename(columns = {\"id\":\"tweet_id\"}),\n",
|
||
" pd.read_csv(\"data/tweets-1679742620302.csv\")])\n",
|
||
"\n",
|
||
"## cols: user_id, handle, user_name; colnames do not match betweend old an new data. Even username and handle seem to be mixed up in new data set (inverse order)\n",
|
||
"## Info: Only a small amount of user_ids appear in both data sets, but if so username occasionaly have changed an therefore can not easily be merged\n",
|
||
"tweets_user = pd.read_csv(\"data/user_old.tsv\", \n",
|
||
" sep = \"\\t\").rename(columns = {\"id\":\"user_id\",\"name\": \"user_name\"} # uniform names\n",
|
||
" ).merge(pd.read_csv(\"data/tweets-1679742702794.csv\" # merge with renamed new data\n",
|
||
" ).rename(columns = {\"username\":\"handle\", \"handle\": \"user_name\"}), # reverse col names\n",
|
||
" on = \"user_id\", # user_id as matching column\n",
|
||
" how = \"outer\", # keep all unique uer_ids\n",
|
||
" suffixes = [\"_2021\", \"_2022\"]) # identify column where username and label came from\n",
|
||
"\n",
|
||
"## Some usernames corresponding to one user_id have changed overtime. For easier handling only the latest username and handle is kept.\n",
|
||
"tweets_user = tweets_user.assign(handle = tweets_user.apply(lambda row: row['handle_2021'] if pd.isna(row['handle_2022']) else row['handle_2022'], axis=1),\n",
|
||
" user_name = tweets_user.apply(lambda row: row['user_name_2021'] if pd.isna(row['user_name_2022']) else row['user_name_2022'], axis=1)\n",
|
||
" ).drop(['handle_2021', 'handle_2022', 'user_name_2021', 'user_name_2022'], axis =1) # no longer needed\n",
|
||
"\n",
|
||
"## addiditional information concerning the police stations\n",
|
||
"## cols: handle, name, typ, bundesland, stadt, lat, long\n",
|
||
"police_stations = pd.read_csv(\"data/polizei_accounts_geo.csv\", sep = \"\\t\" \n",
|
||
" ).rename(columns = {\"Polizei Account\": \"handle\"})\n",
|
||
"\n",
|
||
"tweets_meta.shape, tweets_statistics.shape, tweets_text.shape, tweets_user.shape, police_stations.shape"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "0f7b2b95-0a6c-42c6-a308-5f68d4ba94b9",
|
||
"metadata": {},
|
||
"source": [
|
||
"Jetzt können noch alle Tweet bezogenen informationen in einem Data Frame gespeichert werden:"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 24,
|
||
"id": "f30c2799-02c6-4e6a-ae36-9e039545b6b3",
|
||
"metadata": {
|
||
"tags": []
|
||
},
|
||
"outputs": [],
|
||
"source": [
|
||
"# Merge statistics, tweet text and user information in one data frame\n",
|
||
"tweets_combined = pd.merge(tweets_statistics, \n",
|
||
" tweets_text,\n",
|
||
" on = 'tweet_id').merge(tweets_user, on = 'user_id'\n",
|
||
" ).drop(['id'], axis = 1) # drop unascessary id column (redundant to index)\n",
|
||
" "
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 49,
|
||
"id": "bd407aba-eec1-41ed-bff9-4c5fcdf6cb9d",
|
||
"metadata": {
|
||
"tags": []
|
||
},
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||
"outputs": [
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{
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"data": {
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"<div>\n",
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"<style scoped>\n",
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" .dataframe tbody tr th:only-of-type {\n",
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" vertical-align: middle;\n",
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" <thead>\n",
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" <tr style=\"text-align: right;\">\n",
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" <th></th>\n",
|
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" <th>tweet_id</th>\n",
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" <th>like_count</th>\n",
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" <th>retweet_count</th>\n",
|
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" <th>reply_count</th>\n",
|
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" <th>quote_count</th>\n",
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||
" <th>measured_at</th>\n",
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||
" <th>created_at</th>\n",
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" <th>user_id</th>\n",
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" <td>NaT</td>\n",
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" <td><NA></td>\n",
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" <td>@mahanna196 Da die Stadt keine Ausnahme für Radfahrer aufgeführt hat, gilt diese (Stand jetzt) a...</td>\n",
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" <td>2020-10-27 09:29:13</td>\n",
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" <td>778895426007203840</td>\n",
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" <td>polizei_ol</td>\n",
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" <td>Polizei Oldenburg-Stadt/Ammerland</td>\n",
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" <td><NA></td>\n",
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" <td>@mahanna196 Ja. *sr</td>\n",
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" <td>2020-10-27 10:35:38</td>\n",
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" <td>778895426007203840</td>\n",
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" <td>polizei_ol</td>\n",
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" <td>3</td>\n",
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" <td>0</td>\n",
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" <td>NaT</td>\n",
|
||
" <td><NA></td>\n",
|
||
" <td>#Aktuell Auf dem ehem. Bundeswehrkrankenhausgelände in #Rostrup wurde ein Sprengsatz gefunden. F...</td>\n",
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||
" <td>2020-10-27 12:36:26</td>\n",
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" <td>778895426007203840</td>\n",
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" <td>polizei_ol</td>\n",
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" <td>Polizei Oldenburg-Stadt/Ammerland</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>3</th>\n",
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" <td>1321073940199100416</td>\n",
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" <td>NaT</td>\n",
|
||
" <td><NA></td>\n",
|
||
" <td>@Emma36166433 Bitte lesen Sie unseren Tweet 2/2 *sr</td>\n",
|
||
" <td>2020-10-27 12:59:06</td>\n",
|
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" <td>778895426007203840</td>\n",
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" <td>polizei_ol</td>\n",
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" <td>Polizei Oldenburg-Stadt/Ammerland</td>\n",
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" <td><NA></td>\n",
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||
" <td>In der vergangenen Woche wurde die Wohnung des Tatverdächtigen durchsucht. Dabei stellten die Be...</td>\n",
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||
" <td>2020-10-27 13:57:32</td>\n",
|
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" <td>778895426007203840</td>\n",
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" <td>polizei_ol</td>\n",
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" <td>Polizei Oldenburg-Stadt/Ammerland</td>\n",
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" <td>...</td>\n",
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" <td>2023-02-19 13:40:36</td>\n",
|
||
" <td>False</td>\n",
|
||
" <td>#Sicherheit durch #Sichtbarkeit\\nUnsere #Dir3 hat zu diesem Thema wieder einmal die Puppen tanze...</td>\n",
|
||
" <td>2023-02-15 12:06:07</td>\n",
|
||
" <td>1168873095614160896</td>\n",
|
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" <td>polizeiberlin_p</td>\n",
|
||
" <td>Polizei Berlin Prävention</td>\n",
|
||
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|
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" <td>2023-02-25 13:14:49</td>\n",
|
||
" <td>False</td>\n",
|
||
" <td>Unser Präventionsteam vom #A44 berät heute und morgen tagsüber zum Thema Alkohol &amp; Drogen + ...</td>\n",
|
||
" <td>2023-02-21 12:10:00</td>\n",
|
||
" <td>1168873095614160896</td>\n",
|
||
" <td>polizeiberlin_p</td>\n",
|
||
" <td>Polizei Berlin Prävention</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
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" <th>151687</th>\n",
|
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" <td>1628004810183016448</td>\n",
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" <td>6</td>\n",
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||
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|
||
" <td>2023-02-25 13:14:49</td>\n",
|
||
" <td>False</td>\n",
|
||
" <td>Auch unser #A52 war heute aktiv und hat zum Thema Alkohol &amp; Drogen im Straßenverkehr beraten...</td>\n",
|
||
" <td>2023-02-21 12:12:48</td>\n",
|
||
" <td>1168873095614160896</td>\n",
|
||
" <td>polizeiberlin_p</td>\n",
|
||
" <td>Polizei Berlin Prävention</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
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||
" <td>2023-02-26 13:15:05</td>\n",
|
||
" <td>False</td>\n",
|
||
" <td>Gestern führte unser #A13 in einer Wohnsiedlung einen Präventionseinsatz zum Thema „Wohnraumeinb...</td>\n",
|
||
" <td>2023-02-22 11:15:58</td>\n",
|
||
" <td>1168873095614160896</td>\n",
|
||
" <td>polizeiberlin_p</td>\n",
|
||
" <td>Polizei Berlin Prävention</td>\n",
|
||
" </tr>\n",
|
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|
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|
||
" <td>2023-02-27 12:17:33</td>\n",
|
||
" <td>False</td>\n",
|
||
" <td>Auf dem Gelände der @BUFAStudios (Oberlandstr. 26-35) findet heute die #Seniorenmesse vom Bezirk...</td>\n",
|
||
" <td>2023-02-23 10:53:07</td>\n",
|
||
" <td>1168873095614160896</td>\n",
|
||
" <td>polizeiberlin_p</td>\n",
|
||
" <td>Polizei Berlin Prävention</td>\n",
|
||
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|
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|
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"</table>\n",
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],
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"text/plain": [
|
||
" tweet_id like_count retweet_count reply_count \\\n",
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"0 1321021123463663616 2 1 2 \n",
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"1 1321037834246066181 2 0 0 \n",
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"2 1321068234955776000 19 3 3 \n",
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"3 1321073940199100416 0 0 0 \n",
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"4 1321088646506754049 2 0 0 \n",
|
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"... ... ... ... ... \n",
|
||
"151685 1625828803804004354 5 1 1 \n",
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||
"151686 1628004105623900167 2 0 0 \n",
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||
"151687 1628004810183016448 6 0 0 \n",
|
||
"151688 1628352896352878593 2 0 0 \n",
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||
"151689 1628709531998998529 10 1 0 \n",
|
||
"\n",
|
||
" quote_count measured_at is_deleted \\\n",
|
||
"0 0 NaT <NA> \n",
|
||
"1 0 NaT <NA> \n",
|
||
"2 0 NaT <NA> \n",
|
||
"3 0 NaT <NA> \n",
|
||
"4 0 NaT <NA> \n",
|
||
"... ... ... ... \n",
|
||
"151685 0 2023-02-19 13:40:36 False \n",
|
||
"151686 0 2023-02-25 13:14:49 False \n",
|
||
"151687 0 2023-02-25 13:14:49 False \n",
|
||
"151688 0 2023-02-26 13:15:05 False \n",
|
||
"151689 0 2023-02-27 12:17:33 False \n",
|
||
"\n",
|
||
" tweet_text \\\n",
|
||
"0 @mahanna196 Da die Stadt keine Ausnahme für Radfahrer aufgeführt hat, gilt diese (Stand jetzt) a... \n",
|
||
"1 @mahanna196 Ja. *sr \n",
|
||
"2 #Aktuell Auf dem ehem. Bundeswehrkrankenhausgelände in #Rostrup wurde ein Sprengsatz gefunden. F... \n",
|
||
"3 @Emma36166433 Bitte lesen Sie unseren Tweet 2/2 *sr \n",
|
||
"4 In der vergangenen Woche wurde die Wohnung des Tatverdächtigen durchsucht. Dabei stellten die Be... \n",
|
||
"... ... \n",
|
||
"151685 #Sicherheit durch #Sichtbarkeit\\nUnsere #Dir3 hat zu diesem Thema wieder einmal die Puppen tanze... \n",
|
||
"151686 Unser Präventionsteam vom #A44 berät heute und morgen tagsüber zum Thema Alkohol & Drogen + ... \n",
|
||
"151687 Auch unser #A52 war heute aktiv und hat zum Thema Alkohol & Drogen im Straßenverkehr beraten... \n",
|
||
"151688 Gestern führte unser #A13 in einer Wohnsiedlung einen Präventionseinsatz zum Thema „Wohnraumeinb... \n",
|
||
"151689 Auf dem Gelände der @BUFAStudios (Oberlandstr. 26-35) findet heute die #Seniorenmesse vom Bezirk... \n",
|
||
"\n",
|
||
" created_at user_id handle \\\n",
|
||
"0 2020-10-27 09:29:13 778895426007203840 polizei_ol \n",
|
||
"1 2020-10-27 10:35:38 778895426007203840 polizei_ol \n",
|
||
"2 2020-10-27 12:36:26 778895426007203840 polizei_ol \n",
|
||
"3 2020-10-27 12:59:06 778895426007203840 polizei_ol \n",
|
||
"4 2020-10-27 13:57:32 778895426007203840 polizei_ol \n",
|
||
"... ... ... ... \n",
|
||
"151685 2023-02-15 12:06:07 1168873095614160896 polizeiberlin_p \n",
|
||
"151686 2023-02-21 12:10:00 1168873095614160896 polizeiberlin_p \n",
|
||
"151687 2023-02-21 12:12:48 1168873095614160896 polizeiberlin_p \n",
|
||
"151688 2023-02-22 11:15:58 1168873095614160896 polizeiberlin_p \n",
|
||
"151689 2023-02-23 10:53:07 1168873095614160896 polizeiberlin_p \n",
|
||
"\n",
|
||
" user_name \n",
|
||
"0 Polizei Oldenburg-Stadt/Ammerland \n",
|
||
"1 Polizei Oldenburg-Stadt/Ammerland \n",
|
||
"2 Polizei Oldenburg-Stadt/Ammerland \n",
|
||
"3 Polizei Oldenburg-Stadt/Ammerland \n",
|
||
"4 Polizei Oldenburg-Stadt/Ammerland \n",
|
||
"... ... \n",
|
||
"151685 Polizei Berlin Prävention \n",
|
||
"151686 Polizei Berlin Prävention \n",
|
||
"151687 Polizei Berlin Prävention \n",
|
||
"151688 Polizei Berlin Prävention \n",
|
||
"151689 Polizei Berlin Prävention \n",
|
||
"\n",
|
||
"[151690 rows x 12 columns]"
|
||
]
|
||
},
|
||
"execution_count": 49,
|
||
"metadata": {},
|
||
"output_type": "execute_result"
|
||
}
|
||
],
|
||
"source": [
|
||
"# Convert datatypes to appropriate one\n",
|
||
"tweets_combined[['like_count', 'retweet_count', 'reply_count', 'quote_count']] = tweets_combined[['like_count', 'retweet_count', 'reply_count', 'quote_count']].fillna(np.NAN).astype(int)\n",
|
||
"tweets_combined = tweets_combined.assign(measured_at = pd.to_datetime(tweets_combined['measured_at']), # change date to date format\n",
|
||
" created_at = pd.to_datetime(tweets_combined['created_at']),\n",
|
||
" handle = tweets_combined['handle'].str.lower(), # handle to lower case\n",
|
||
" is_deleted = tweets_combined['is_deleted'].astype('boolean')) # is deleted column as boolean variable\n",
|
||
"tweets_combined#.to_csv(\"data/tweets_all_combined.csv\")"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "91dfb8bb-15dc-4b2c-9c5f-3eab18d78ef8",
|
||
"metadata": {
|
||
"tags": []
|
||
},
|
||
"source": [
|
||
"### Adjazenzmatrix mentions\n",
|
||
" \n",
|
||
"Information, welche nicht direkt enthalten ist: welche Accounts werden erwähnt. Ist nur im Tweet mit @handle gekennzeichnet."
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 53,
|
||
"id": "5d8bf730-3c8f-4143-b405-c95f1914f54b",
|
||
"metadata": {
|
||
"tags": []
|
||
},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"text/plain": [
|
||
"0 Auch wir schließen uns dem Apell an! \\n\\n#Ukra...\n",
|
||
"1 @BWeltenbummler Sehr schwer zu sagen. Die Evak...\n",
|
||
"2 Halten Sie durch – die Evakuierung ist fast ab...\n",
|
||
"3 Halten Sie durch – die Evakuierung ist fast ab...\n",
|
||
"4 RT @drkberlin_iuk: 🚨 In enger Abstimmung mit d...\n",
|
||
"Name: tweet_text, dtype: object"
|
||
]
|
||
},
|
||
"execution_count": 53,
|
||
"metadata": {},
|
||
"output_type": "execute_result"
|
||
}
|
||
],
|
||
"source": [
|
||
"# TODO"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "0c242090-0748-488c-b604-f521030f468f",
|
||
"metadata": {
|
||
"tags": []
|
||
},
|
||
"source": [
|
||
"## Metadaten \n",
|
||
"\n",
|
||
"Welche Daten bilden die Grundlage?\n"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 112,
|
||
"id": "0e5eb455-6b12-4572-8f5e-f328a94bd797",
|
||
"metadata": {
|
||
"tags": []
|
||
},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"text/plain": [
|
||
"hashtag 267255\n",
|
||
"url 141594\n",
|
||
"mention 71142\n",
|
||
"Name: entity_type, dtype: int64"
|
||
]
|
||
},
|
||
"execution_count": 112,
|
||
"metadata": {},
|
||
"output_type": "execute_result"
|
||
}
|
||
],
|
||
"source": [
|
||
"tweets_meta[\"entity_type\"].value_counts()\n",
|
||
"# tweets_meta[tweets_meta['entity_type'] == \"mention\"]"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "ef440301-cf89-4e80-8801-eb853d636190",
|
||
"metadata": {
|
||
"tags": []
|
||
},
|
||
"source": [
|
||
"Insgesamt haben wir 151690 einzigartige Tweets:"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 113,
|
||
"id": "5a438e7f-8735-40bb-b450-2ce168f0f67a",
|
||
"metadata": {
|
||
"tags": []
|
||
},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"text/plain": [
|
||
"151690"
|
||
]
|
||
},
|
||
"execution_count": 113,
|
||
"metadata": {},
|
||
"output_type": "execute_result"
|
||
}
|
||
],
|
||
"source": [
|
||
"tweets_combined[\"tweet_id\"].value_counts().shape[0] # Anzahl an Tweets"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 10,
|
||
"id": "4f1e8c6c-3610-436e-899e-4d0307259230",
|
||
"metadata": {
|
||
"tags": []
|
||
},
|
||
"outputs": [
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"Die Tweets wurden vom 2020-10-27 bis zum: 2023-03-16 gesammelt. Also genau insgesamt: 870 Tage. (Mit kleinen Unterbrechungen)\n"
|
||
]
|
||
}
|
||
],
|
||
"source": [
|
||
"print(\"Die Tweets wurden vom\", tweets_combined['created_at'].min().date(), \"bis zum:\", tweets_combined['created_at'].max().date(), \"gesammelt.\", \"Also genau insgesamt:\", (tweets_combined['created_at'].max() - tweets_combined['created_at'].min()).days, \"Tage. (Mit kleinen Unterbrechungen)\")\n",
|
||
"# tweets_combined[tweets_combined['created_at'] == tweets_combined['created_at'].max()] # Tweets vom letzten Tag"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "d8b47a60-1535-4d03-913a-73e897bc18df",
|
||
"metadata": {
|
||
"tags": []
|
||
},
|
||
"source": [
|
||
"Welche Polizei Accounts haben am meisten getweetet?"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 11,
|
||
"id": "9373552e-6baf-46df-ae16-c63603e20a83",
|
||
"metadata": {
|
||
"tags": []
|
||
},
|
||
"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>handle</th>\n",
|
||
" <th>count</th>\n",
|
||
" <th>Name</th>\n",
|
||
" <th>Typ</th>\n",
|
||
" <th>Bundesland</th>\n",
|
||
" <th>Stadt</th>\n",
|
||
" <th>LAT</th>\n",
|
||
" <th>LONG</th>\n",
|
||
" </tr>\n",
|
||
" </thead>\n",
|
||
" <tbody>\n",
|
||
" <tr>\n",
|
||
" <th>11</th>\n",
|
||
" <td>polizei_ffm</td>\n",
|
||
" <td>5512</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>0</th>\n",
|
||
" <td>polizeisachsen</td>\n",
|
||
" <td>5340</td>\n",
|
||
" <td>Polizei Sachsen</td>\n",
|
||
" <td>Polizei</td>\n",
|
||
" <td>Sachsen</td>\n",
|
||
" <td>Dresden</td>\n",
|
||
" <td>51.0493286</td>\n",
|
||
" <td>13.7381437</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>3</th>\n",
|
||
" <td>polizei_nrw_do</td>\n",
|
||
" <td>4895</td>\n",
|
||
" <td>Polizei NRW DO</td>\n",
|
||
" <td>Polizei</td>\n",
|
||
" <td>Nordrhein-Westfalen</td>\n",
|
||
" <td>Dortmund</td>\n",
|
||
" <td>51.5142273</td>\n",
|
||
" <td>7.4652789</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>92</th>\n",
|
||
" <td>polizeibb</td>\n",
|
||
" <td>4323</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>61</th>\n",
|
||
" <td>polizeihamburg</td>\n",
|
||
" <td>4042</td>\n",
|
||
" <td>Polizei Hamburg</td>\n",
|
||
" <td>Polizei</td>\n",
|
||
" <td>Hamburg</td>\n",
|
||
" <td>Hamburg</td>\n",
|
||
" <td>53.550341</td>\n",
|
||
" <td>10.000654</td>\n",
|
||
" </tr>\n",
|
||
" </tbody>\n",
|
||
"</table>\n",
|
||
"</div>"
|
||
],
|
||
"text/plain": [
|
||
" handle count Name Typ Bundesland \\\n",
|
||
"11 polizei_ffm 5512 NaN NaN NaN \n",
|
||
"0 polizeisachsen 5340 Polizei Sachsen Polizei Sachsen \n",
|
||
"3 polizei_nrw_do 4895 Polizei NRW DO Polizei Nordrhein-Westfalen \n",
|
||
"92 polizeibb 4323 NaN NaN NaN \n",
|
||
"61 polizeihamburg 4042 Polizei Hamburg Polizei Hamburg \n",
|
||
"\n",
|
||
" Stadt LAT LONG \n",
|
||
"11 NaN NaN NaN \n",
|
||
"0 Dresden 51.0493286 13.7381437 \n",
|
||
"3 Dortmund 51.5142273 7.4652789 \n",
|
||
"92 NaN NaN NaN \n",
|
||
"61 Hamburg 53.550341 10.000654 "
|
||
]
|
||
},
|
||
"execution_count": 11,
|
||
"metadata": {},
|
||
"output_type": "execute_result"
|
||
}
|
||
],
|
||
"source": [
|
||
"tweets_agg = tweets_combined.groupby(by = [\"user_id\", \"user_name\", \"handle\"]\n",
|
||
" )[\"user_id\"].aggregate(['count']\n",
|
||
" ).merge(police_stations,\n",
|
||
" on = \"handle\",\n",
|
||
" how = \"left\"\n",
|
||
" ).sort_values(['count'], ascending=False)\n",
|
||
"tweets_agg.shape\n",
|
||
"activy_police_vis = tweets_agg[0:50]\n",
|
||
"activy_police_vis.head()"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "9cf5f544-706b-41af-b785-7023f04e3ecb",
|
||
"metadata": {
|
||
"tags": []
|
||
},
|
||
"source": [
|
||
"Visualisierung aktivste Polizeistadtionen:"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 13,
|
||
"id": "b1c39196-d1cc-4f82-8e01-7529e7b3046f",
|
||
"metadata": {
|
||
"tags": []
|
||
},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"text/html": [
|
||
"\n",
|
||
"<div id=\"altair-viz-7b78525a62b243eca7b1f4044a328f47\"></div>\n",
|
||
"<script type=\"text/javascript\">\n",
|
||
" var VEGA_DEBUG = (typeof VEGA_DEBUG == \"undefined\") ? {} : VEGA_DEBUG;\n",
|
||
" (function(spec, embedOpt){\n",
|
||
" let outputDiv = document.currentScript.previousElementSibling;\n",
|
||
" if (outputDiv.id !== \"altair-viz-7b78525a62b243eca7b1f4044a328f47\") {\n",
|
||
" outputDiv = document.getElementById(\"altair-viz-7b78525a62b243eca7b1f4044a328f47\");\n",
|
||
" }\n",
|
||
" const paths = {\n",
|
||
" \"vega\": \"https://cdn.jsdelivr.net/npm//vega@5?noext\",\n",
|
||
" \"vega-lib\": \"https://cdn.jsdelivr.net/npm//vega-lib?noext\",\n",
|
||
" \"vega-lite\": \"https://cdn.jsdelivr.net/npm//vega-lite@4.17.0?noext\",\n",
|
||
" \"vega-embed\": \"https://cdn.jsdelivr.net/npm//vega-embed@6?noext\",\n",
|
||
" };\n",
|
||
"\n",
|
||
" function maybeLoadScript(lib, version) {\n",
|
||
" var key = `${lib.replace(\"-\", \"\")}_version`;\n",
|
||
" return (VEGA_DEBUG[key] == version) ?\n",
|
||
" Promise.resolve(paths[lib]) :\n",
|
||
" new Promise(function(resolve, reject) {\n",
|
||
" var s = document.createElement('script');\n",
|
||
" document.getElementsByTagName(\"head\")[0].appendChild(s);\n",
|
||
" s.async = true;\n",
|
||
" s.onload = () => {\n",
|
||
" VEGA_DEBUG[key] = version;\n",
|
||
" return resolve(paths[lib]);\n",
|
||
" };\n",
|
||
" s.onerror = () => reject(`Error loading script: ${paths[lib]}`);\n",
|
||
" s.src = paths[lib];\n",
|
||
" });\n",
|
||
" }\n",
|
||
"\n",
|
||
" function showError(err) {\n",
|
||
" outputDiv.innerHTML = `<div class=\"error\" style=\"color:red;\">${err}</div>`;\n",
|
||
" throw err;\n",
|
||
" }\n",
|
||
"\n",
|
||
" function displayChart(vegaEmbed) {\n",
|
||
" vegaEmbed(outputDiv, spec, embedOpt)\n",
|
||
" .catch(err => showError(`Javascript Error: ${err.message}<br>This usually means there's a typo in your chart specification. See the javascript console for the full traceback.`));\n",
|
||
" }\n",
|
||
"\n",
|
||
" if(typeof define === \"function\" && define.amd) {\n",
|
||
" requirejs.config({paths});\n",
|
||
" require([\"vega-embed\"], displayChart, err => showError(`Error loading script: ${err.message}`));\n",
|
||
" } else {\n",
|
||
" maybeLoadScript(\"vega\", \"5\")\n",
|
||
" .then(() => maybeLoadScript(\"vega-lite\", \"4.17.0\"))\n",
|
||
" .then(() => maybeLoadScript(\"vega-embed\", \"6\"))\n",
|
||
" .catch(showError)\n",
|
||
" .then(() => displayChart(vegaEmbed));\n",
|
||
" }\n",
|
||
" })({\"config\": {\"view\": {\"continuousWidth\": 400, \"continuousHeight\": 300}}, \"data\": {\"name\": \"data-59538db49feb940cb722f8834432bfab\"}, \"mark\": \"bar\", \"encoding\": {\"x\": {\"field\": \"count\", \"type\": \"quantitative\"}, \"y\": {\"field\": \"handle\", \"sort\": \"-x\", \"type\": \"ordinal\"}}, \"$schema\": \"https://vega.github.io/schema/vega-lite/v4.17.0.json\", \"datasets\": {\"data-59538db49feb940cb722f8834432bfab\": [{\"handle\": \"polizei_ffm\", \"count\": 5512, \"Name\": null, \"Typ\": null, \"Bundesland\": null, \"Stadt\": null, \"LAT\": null, \"LONG\": null}, {\"handle\": \"polizeisachsen\", \"count\": 5340, \"Name\": \"Polizei Sachsen\", \"Typ\": \"Polizei\", \"Bundesland\": \"Sachsen\", \"Stadt\": \"Dresden\", \"LAT\": \"51.0493286\", \"LONG\": \"13.7381437\"}, {\"handle\": \"polizei_nrw_do\", \"count\": 4895, \"Name\": \"Polizei NRW DO\", \"Typ\": \"Polizei\", \"Bundesland\": \"Nordrhein-Westfalen\", \"Stadt\": \"Dortmund\", \"LAT\": \"51.5142273\", \"LONG\": \"7.4652789\"}, {\"handle\": \"polizeibb\", \"count\": 4323, \"Name\": null, \"Typ\": null, \"Bundesland\": null, \"Stadt\": null, \"LAT\": null, \"LONG\": null}, {\"handle\": \"polizeihamburg\", \"count\": 4042, \"Name\": \"Polizei Hamburg\", \"Typ\": \"Polizei\", \"Bundesland\": \"Hamburg\", \"Stadt\": \"Hamburg\", \"LAT\": \"53.550341\", \"LONG\": \"10.000654\"}, {\"handle\": \"polizeimuenchen\", \"count\": 3951, \"Name\": \"Polizei M\\u00fcnchen\", \"Typ\": \"Polizei\", \"Bundesland\": \"Bayern\", \"Stadt\": \"M\\u00fcnchen\", \"LAT\": \"48.135125\", \"LONG\": \"11.581981\"}, {\"handle\": \"polizeimfr\", \"count\": 3317, \"Name\": \"Polizei Mittelfranken\", \"Typ\": \"Polizei\", \"Bundesland\": \"Bayern\", \"Stadt\": \"N\\u00fcrnberg\", \"LAT\": \"49.453872\", \"LONG\": \"11.077298\"}, {\"handle\": \"polizeimannheim\", \"count\": 3300, \"Name\": \"Polizei Mannheim\", \"Typ\": \"Polizei\", \"Bundesland\": \"Baden-W\\u00fcrttemberg\", \"Stadt\": \"Mannheim\", \"LAT\": \"49.4892913\", \"LONG\": \"8.4673098\"}, {\"handle\": \"bremenpolizei\", \"count\": 2664, \"Name\": null, \"Typ\": null, \"Bundesland\": null, \"Stadt\": null, \"LAT\": null, \"LONG\": null}, {\"handle\": \"polizei_ka\", \"count\": 2568, \"Name\": \"Polizei Karlsruhe\", \"Typ\": \"Polizei\", \"Bundesland\": \"Baden-W\\u00fcrttemberg\", \"Stadt\": \"Karlsruhe\", \"LAT\": \"49.0068705\", \"LONG\": \"8.4034195\"}, {\"handle\": \"polizei_nrw_k\", \"count\": 2544, \"Name\": \"Polizei NRW K\", \"Typ\": \"Polizei\", \"Bundesland\": \"Nordrhein-Westfalen\", \"Stadt\": \"K\\u00f6ln\", \"LAT\": \"50.938361\", \"LONG\": \"6.959974\"}, {\"handle\": \"polizei_nrw_bo\", \"count\": 2367, \"Name\": \"Polizei NRW BO\", \"Typ\": \"Polizei\", \"Bundesland\": \"Nordrhein-Westfalen\", \"Stadt\": \"Bochum\", \"LAT\": \"51.4818111\", \"LONG\": \"7.2196635\"}, {\"handle\": \"polizei_md\", \"count\": 2319, \"Name\": \"Polizei Magdeburg\", \"Typ\": \"Polizei\", \"Bundesland\": \"Sachsen-Anhalt\", \"Stadt\": \"Magdeburg\", \"LAT\": \"52.1315889\", \"LONG\": \"11.6399609\"}, {\"handle\": \"polizei_h\", \"count\": 2302, \"Name\": \"Polizei Hannover\", \"Typ\": \"Polizei\", \"Bundesland\": \"Niedersachsen\", \"Stadt\": \"Hannover\", \"LAT\": \"52.3744779\", \"LONG\": \"9.7385532\"}, {\"handle\": \"polizei_nrw_bi\", \"count\": 2299, \"Name\": \"Polizei NRW BI\", \"Typ\": \"Polizei\", \"Bundesland\": \"Nordrhein-Westfalen\", \"Stadt\": \"Bielefeld\", \"LAT\": \"52.0191005\", \"LONG\": \"8.531007\"}]}}, {\"mode\": \"vega-lite\"});\n",
|
||
"</script>"
|
||
],
|
||
"text/plain": [
|
||
"alt.Chart(...)"
|
||
]
|
||
},
|
||
"execution_count": 13,
|
||
"metadata": {},
|
||
"output_type": "execute_result"
|
||
}
|
||
],
|
||
"source": [
|
||
"barchart = alt.Chart(activy_police_vis[0:15]).mark_bar().encode(\n",
|
||
" x = 'count:Q',\n",
|
||
" y = alt.Y('handle:O', sort = '-x'),\n",
|
||
")\n",
|
||
"barchart "
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "90f686ff-93c6-44d9-9761-feb35dfe9d1d",
|
||
"metadata": {
|
||
"tags": []
|
||
},
|
||
"source": [
|
||
"Welche Tweets ziehen besonders viel Aufmerksamkeit auf sich?"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 14,
|
||
"id": "d0549250-b11f-4762-8500-1134c53303b4",
|
||
"metadata": {
|
||
"tags": []
|
||
},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
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|
||
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||
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||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
" <thead>\n",
|
||
" <tr style=\"text-align: right;\">\n",
|
||
" <th></th>\n",
|
||
" <th>index</th>\n",
|
||
" <th>tweet_id</th>\n",
|
||
" <th>like_count</th>\n",
|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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||
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||
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|
||
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|
||
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|
||
" <td>2023-01-05 14:44:34</td>\n",
|
||
" <td>False</td>\n",
|
||
" <td>Die Gewalt, die unsere Kolleginnen &amp; Kollegen in der Silvesternacht erleben mussten, ist une...</td>\n",
|
||
" <td>2023-01-01 13:17:13</td>\n",
|
||
" <td>2397974054</td>\n",
|
||
" <td>polizeiberlin</td>\n",
|
||
" <td>Polizei Berlin</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
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|
||
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|
||
" <td>NaN</td>\n",
|
||
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|
||
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|
||
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|
||
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|
||
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||
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||
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||
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||
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|
||
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|
||
" <td>NaN</td>\n",
|
||
" <td>An diejenigen, die vergangene Nacht in eine Schule in #Gesundbrunnen eingebrochen sind und 242 T...</td>\n",
|
||
" <td>2021-01-29 15:41:20</td>\n",
|
||
" <td>2397974054</td>\n",
|
||
" <td>polizeiberlin</td>\n",
|
||
" <td>Polizei Berlin</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",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
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|
||
" <td>91693</td>\n",
|
||
" <td>1505620459148173316</td>\n",
|
||
" <td>15708</td>\n",
|
||
" <td>7098</td>\n",
|
||
" <td>186</td>\n",
|
||
" <td>540</td>\n",
|
||
" <td>2022-03-24 20:15:08</td>\n",
|
||
" <td>False</td>\n",
|
||
" <td>WICHTIGE Info:\\nÜber das Internet wird derzeit ein Video verbreitet, in dem von einem Überfall a...</td>\n",
|
||
" <td>2022-03-20 19:01:05</td>\n",
|
||
" <td>2389161066</td>\n",
|
||
" <td>polizei_nrw_bn</td>\n",
|
||
" <td>Polizei NRW BN</td>\n",
|
||
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|
||
" <td>Polizei</td>\n",
|
||
" <td>Nordrhein-Westfalen</td>\n",
|
||
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|
||
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|
||
" <td>7.10066</td>\n",
|
||
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|
||
" <tr>\n",
|
||
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|
||
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|
||
" <td>1505620666476896259</td>\n",
|
||
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|
||
" <td>1539</td>\n",
|
||
" <td>59</td>\n",
|
||
" <td>35</td>\n",
|
||
" <td>2022-03-24 20:15:08</td>\n",
|
||
" <td>False</td>\n",
|
||
" <td>Die Experten gehen derzeit davon aus, dass es sich um ein absichtliches \"Fake-Video\" handelt, da...</td>\n",
|
||
" <td>2022-03-20 19:01:54</td>\n",
|
||
" <td>2389161066</td>\n",
|
||
" <td>polizei_nrw_bn</td>\n",
|
||
" <td>Polizei NRW BN</td>\n",
|
||
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|
||
" <td>Polizei</td>\n",
|
||
" <td>Nordrhein-Westfalen</td>\n",
|
||
" <td>Bonn</td>\n",
|
||
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|
||
" <td>7.10066</td>\n",
|
||
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|
||
" <tr>\n",
|
||
" <th>4</th>\n",
|
||
" <td>122631</td>\n",
|
||
" <td>1359098196434292739</td>\n",
|
||
" <td>9471</td>\n",
|
||
" <td>642</td>\n",
|
||
" <td>128</td>\n",
|
||
" <td>102</td>\n",
|
||
" <td>NaT</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>Weil wir dich schieben! @BVG_Kampagne 😉 https://t.co/N8kdlCxhz2</td>\n",
|
||
" <td>2021-02-09 11:13:55</td>\n",
|
||
" <td>4876039738</td>\n",
|
||
" <td>bpol_b</td>\n",
|
||
" <td>Bundespolizei Berlin</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</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",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>151685</th>\n",
|
||
" <td>7569</td>\n",
|
||
" <td>1332625325654757377</td>\n",
|
||
" <td>-99</td>\n",
|
||
" <td>-99</td>\n",
|
||
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|
||
" <td>-99</td>\n",
|
||
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|
||
" <td>NaN</td>\n",
|
||
" <td>Sinken die Temperaturen ❄, steigt zeitgleich das Risiko für Verkehrsteilnehmer. Höchste Zeit zu ...</td>\n",
|
||
" <td>2020-11-28 10:00:11</td>\n",
|
||
" <td>223758384</td>\n",
|
||
" <td>polizeisachsen</td>\n",
|
||
" <td>Polizei Sachsen</td>\n",
|
||
" <td>Polizei Sachsen</td>\n",
|
||
" <td>Polizei</td>\n",
|
||
" <td>Sachsen</td>\n",
|
||
" <td>Dresden</td>\n",
|
||
" <td>51.0493286</td>\n",
|
||
" <td>13.7381437</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>151686</th>\n",
|
||
" <td>7572</td>\n",
|
||
" <td>1332738525507186692</td>\n",
|
||
" <td>-99</td>\n",
|
||
" <td>-99</td>\n",
|
||
" <td>-99</td>\n",
|
||
" <td>-99</td>\n",
|
||
" <td>NaT</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>📺Am Sonntag, um 19:50 Uhr, geht es bei #KripoLive im \\n@mdrde\\n auch um die Fahndung nach einem ...</td>\n",
|
||
" <td>2020-11-28 17:30:00</td>\n",
|
||
" <td>223758384</td>\n",
|
||
" <td>polizeisachsen</td>\n",
|
||
" <td>Polizei Sachsen</td>\n",
|
||
" <td>Polizei Sachsen</td>\n",
|
||
" <td>Polizei</td>\n",
|
||
" <td>Sachsen</td>\n",
|
||
" <td>Dresden</td>\n",
|
||
" <td>51.0493286</td>\n",
|
||
" <td>13.7381437</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>151687</th>\n",
|
||
" <td>144702</td>\n",
|
||
" <td>1465679768494526467</td>\n",
|
||
" <td>-99</td>\n",
|
||
" <td>-99</td>\n",
|
||
" <td>-99</td>\n",
|
||
" <td>-99</td>\n",
|
||
" <td>NaT</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>Musik verbindet!\\nUnser #Adventskalender der #Bundespolizei startet morgen ➡ https://t.co/V6CaTV...</td>\n",
|
||
" <td>2021-11-30 13:51:02</td>\n",
|
||
" <td>4876085224</td>\n",
|
||
" <td>bpol_nord</td>\n",
|
||
" <td>Bundespolizei Nord</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>151688</th>\n",
|
||
" <td>144701</td>\n",
|
||
" <td>1464124290605977600</td>\n",
|
||
" <td>-99</td>\n",
|
||
" <td>-99</td>\n",
|
||
" <td>-99</td>\n",
|
||
" <td>-99</td>\n",
|
||
" <td>NaT</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>@gretchen_hann Hallo, diese Frage kann die Bundespolizei Spezialkräfte besser beantworten. Richt...</td>\n",
|
||
" <td>2021-11-26 06:50:07</td>\n",
|
||
" <td>4876085224</td>\n",
|
||
" <td>bpol_nord</td>\n",
|
||
" <td>Bundespolizei Nord</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>151689</th>\n",
|
||
" <td>66854</td>\n",
|
||
" <td>1376453040283209728</td>\n",
|
||
" <td>-99</td>\n",
|
||
" <td>-99</td>\n",
|
||
" <td>-99</td>\n",
|
||
" <td>-99</td>\n",
|
||
" <td>NaT</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>#Bönen #Holzwickede - Verstöße gegen Coronaschutzverordnung: Polizei löst Gaststättenabend und F...</td>\n",
|
||
" <td>2021-03-29 08:35:52</td>\n",
|
||
" <td>2389263558</td>\n",
|
||
" <td>polizei_nrw_un</td>\n",
|
||
" <td>Polizei NRW UN</td>\n",
|
||
" <td>Polizei NRW UN</td>\n",
|
||
" <td>Polizei</td>\n",
|
||
" <td>Nordrhein-Westfalen</td>\n",
|
||
" <td>Unna</td>\n",
|
||
" <td>51.5348835</td>\n",
|
||
" <td>7.689014</td>\n",
|
||
" </tr>\n",
|
||
" </tbody>\n",
|
||
"</table>\n",
|
||
"<p>151690 rows × 19 columns</p>\n",
|
||
"</div>"
|
||
],
|
||
"text/plain": [
|
||
" index tweet_id like_count retweet_count reply_count \\\n",
|
||
"0 3053 1609539240458878979 21455 1845 3643 \n",
|
||
"1 1331 1355179228396879872 19186 3386 1203 \n",
|
||
"2 91693 1505620459148173316 15708 7098 186 \n",
|
||
"3 91695 1505620666476896259 10337 1539 59 \n",
|
||
"4 122631 1359098196434292739 9471 642 128 \n",
|
||
"... ... ... ... ... ... \n",
|
||
"151685 7569 1332625325654757377 -99 -99 -99 \n",
|
||
"151686 7572 1332738525507186692 -99 -99 -99 \n",
|
||
"151687 144702 1465679768494526467 -99 -99 -99 \n",
|
||
"151688 144701 1464124290605977600 -99 -99 -99 \n",
|
||
"151689 66854 1376453040283209728 -99 -99 -99 \n",
|
||
"\n",
|
||
" quote_count measured_at is_deleted \\\n",
|
||
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||
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||
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||
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|
||
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||
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||
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||
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||
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||
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||
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|
||
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||
"0 Die Gewalt, die unsere Kolleginnen & Kollegen in der Silvesternacht erleben mussten, ist une... \n",
|
||
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|
||
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|
||
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|
||
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|
||
"... ... \n",
|
||
"151685 Sinken die Temperaturen ❄, steigt zeitgleich das Risiko für Verkehrsteilnehmer. Höchste Zeit zu ... \n",
|
||
"151686 📺Am Sonntag, um 19:50 Uhr, geht es bei #KripoLive im \\n@mdrde\\n auch um die Fahndung nach einem ... \n",
|
||
"151687 Musik verbindet!\\nUnser #Adventskalender der #Bundespolizei startet morgen ➡ https://t.co/V6CaTV... \n",
|
||
"151688 @gretchen_hann Hallo, diese Frage kann die Bundespolizei Spezialkräfte besser beantworten. Richt... \n",
|
||
"151689 #Bönen #Holzwickede - Verstöße gegen Coronaschutzverordnung: Polizei löst Gaststättenabend und F... \n",
|
||
"\n",
|
||
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||
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||
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||
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||
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|
||
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|
||
"... ... ... ... ... \n",
|
||
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|
||
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||
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||
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||
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||
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||
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||
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||
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||
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