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Visualization and analysis of hate crime in Berlin, with data provided by ReachOut - Opferberatung und Bildung gegen Rechtsextremismus, Rassismus und Antisemitismus

JavaScript 86.8%
Python 7.2%
CSS 2.5%
Java 1.7%
Smarty 1.4%
Other 0.4%

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Arne Schlüter 41f2afcc12 Merge branch 'place_extraction' Conflicts: analyze.py		2015-01-17 17:38:41 +01:00
scraper	Clean up code, clarify and remove an unnecessary try-except-block	2014-12-11 00:29:08 +01:00
stanford-postagger-full-2014-10-26	Start messing around with part of speech tagging	2015-01-17 15:15:51 +01:00
www	Separate into different files	2014-11-17 14:37:41 +01:00
.editorconfig	Use peewee as model and rewrite the code	2014-12-10 23:56:27 +01:00
.gitignore	Crawl all pages and insert them into the database	2014-12-08 18:26:25 +01:00
analyze.py	Merge branch 'place_extraction'	2015-01-17 17:38:41 +01:00
get_incidents.py	swapped '…' with '...' and removed sqlite3 import.	2015-01-17 13:58:38 +01:00
models.py	Remove field 'addtional_place' because it can't be reliably parsed	2014-12-11 00:07:48 +01:00
README.md	Use peewee as model and rewrite the code	2014-12-10 23:56:27 +01:00
requirements.txt	Install nltk for named entity extraction of places later on	2015-01-17 11:43:59 +01:00
tagger.py	Start with improving the place results	2015-01-17 15:57:51 +01:00

README.md

What is this?

A visualization of hate crime in Berlin, starting 2005. The data is kindly provided by ReachOut - Opferberatung und Bildung gegen Rechtsextremismus, Rassismus und Antisemitismus. It is scraped regularly from their webpage and visualized and analyzed by software written by Joshua Widmann and Arne Schlüter.

How do I start?

In order to set up the tables you have to create them first. This is done quite easily using the python interpreter:

from models import *
create_tables()