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Welcome to Crime Crunchers! ======================== Time to Crunch Crime!
Crime Crunchers was started in the city of San Antonio by a group of concerned citizens who are dedicated to using data science to lower the property crime & theft rates in San Antonio. Crime Crunchers is an effort to develop methods and deliver data that predict areas and times in the city likely to experience increased negative activity. We focus not on profiling individuals but discovering signals of negative activity found in open data.
Crime Crunchers aims to be a place where anyone can be the super hero without the burden of looking good in matching tights or developing the next generation gadgetry. Anyone with the drive to code and crunch numbers or learn more about data science are invited to participate. Our goal is to be a positive force multiplier of good in our beautiful city of San Antonio through education and awarness of data methods to watch our neighborhoods.
Crime Crunchers is a grass roots effort, many of our members (though very geeky) are not versed in all facets of the data processing pipline. This documentation is a series of basic data science tutorials to help foster productivity within the community of concerned citizens. Most tutorials initially will be in the Python programming language. You are welcome to contribute new and parallel material in any language you choose.
Finding Data
Extracting Data
Exploring Data
Time Data
Geo Data
Streams of Data
Data of Networks
Big Data
Neighbohood Watch
Freedom of Information Act
Databases
Programming Languages
Spatio Temporal Statistics
Calls For Service
Geo Tagging
Maps
Interesting: ----------- Hotspot Policing: http://www.sacpd.org/newsroom/releases/liveview.aspx?release_id=20110213-029
- Seattle Crime Maps:
DOJ: Crime Mapping https://www.ncjrs.gov/html/nij/mapping/index.html
DOJ: Hot Spots https://www.ncjrs.gov/pdffiles1/nij/209393.pdf
Parse PDFs
Load Data into sql
Load Data into NoSQL