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figures
2016-fal-arjunlam-poster.pdf
2016-fal-arjunlam-report.pdf
README.md
analysis1.py
analysis2.py
collectData.py
crimeCoordinates.json
dataTransform1.py
dataTransform2.py
dataTransform3.py
scatterPlot.json
visualizeData1.html
visualizeData2.html

README.md

Project:

I chose to work with the crime, 311 request, mayor 24hr hotline, potholes and Department of Neighborhood Development properties datasets. The idea is to the Broken Windows Theory which states that maintaning and monitoring urban environments to prevent small crimes will prevent more serious crimes from happening.

collectData.py: To run type: python 3 collectData.py. This scripts collects the data from the City of Boston data portal.

dataTransform1.py: Take the location information for all data sets and puts it in GeoJson format

dataTransform2.py: Counts up the number of crimes and 311 requests according to zipcode

dataTransform3.py: Counts up the number of crimes and potholes according to zipcode

analysis1/analysis2.py: They perform basic statistics on the crimePotholes and crime311 data that was generated by dataTransform2.py and dataTransform3.py