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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%
| scraper | ||
| stanford-postagger-full-2014-10-26 | ||
| static | ||
| views | ||
| .editorconfig | ||
| .gitignore | ||
| analyze.py | ||
| german_nouns.txt | ||
| get_incidents.py | ||
| locator.py | ||
| models.py | ||
| README.md | ||
| requirements.txt | ||
| server.py | ||
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()
Interesting statistics
- How often did violence occur?
- Where did it occur the most?
- How do we categorize it?
- How many did occur close train stations?