incidents

Data source: Verschiedene Organisationen und Projekte

2 rows where chronicler_name = "response." and "date" is on date 2019-05-21

View and edit SQL

date (date)

  • 2019-05-21 · 2

chronicler_name

  • response. · 2
id ▼ description date url rg_id city county chronicler_name title factums motives postal_code state latitude longitude address age official tags contexts orig_county orig_city country orig_address district street house_number point_geom
16801   2019-05-21 00:00:00.000000 https://response-hessen.de/chronik?page=3 response-node-1800 Kassel Kassel (Stadt) response. Gewaltvoller Angriff auf bettelnden Mann   Sozialdarwinismus (gegen Wohnungslose) 34125 Hessen 51.31853 9.51183           Kassel Kassel Deutschland         <Binary data: 60 bytes>
16802   2019-05-21 00:00:00.000000 https://response-hessen.de/chronik?page=3 response-node-1805 Frankfurt am Main Frankfurt am Main response. Erneute Brandstiftung bei Wohnprojekt   gegen politische Gegner*innen 60311 Hessen 50.11208 8.68341           Frankfurt am Main Frankfurt am Main Deutschland         <Binary data: 60 bytes>

Advanced export

JSON shape: default, array, newline-delimited, object

CSV options:

CREATE TABLE incidents (
	id INTEGER NOT NULL, 
	description TEXT, 
	date DATETIME, 
	url TEXT, 
	rg_id TEXT, 
	city TEXT, 
	county TEXT, 
	chronicler_name TEXT, 
	title TEXT, 
	factums TEXT, 
	motives TEXT, 
	postal_code TEXT, 
	state TEXT, 
	latitude TEXT, 
	longitude TEXT, 
	address TEXT, 
	age TEXT, 
	official BOOLEAN, 
	tags TEXT, 
	contexts TEXT, orig_county TEXT, orig_city TEXT, country TEXT, orig_address TEXT, district TEXT, street TEXT, house_number TEXT, "point_geom" POINT, 
	PRIMARY KEY (id), 
	CHECK (official IN (0, 1))
);
CREATE INDEX ix_incidents_8bf74999a70a0675 ON incidents (rg_id);
Powered by Datasette · Query took 1206.63ms · Data source: Verschiedene Organisationen und Projekte