A Berlin map of the bike thefts areas

Juypter nbviewer renders the maps and shows the code along. So if the notebook is too heavy for rendering or you get the message
Make this Notebook Trusted to load map: File -> Trust Notebook
Please click here: Rendered project with Jupyter nbviewer

The goal is to identify areas in Berlin with the highest theft amounts

Data Sources
The data is on bicycle theft crimes at the granular level of Berlin city planning areas, so-called "LOR" - "Lebensweltlich orientierte Räume". This data is provided by Berlin Open Data and collected by the police of Berlin.

Learning Objectives

• Work combining DataFrames with Pandas
• Practice different joining methods
• Use pivot tables with Pandas
• Use the GeoPandas package

Website to datatset - daten.berlin.de

• Licence:
  • Creative Commons Namensnennung CC-BY License
• Geographical Granularity:
  • Berlin
• Publisher:
  • Polizei Berlin LKA St 14
• E Mail:
  • [email protected]