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charts
web
2016-fal-schiao_uvarovis-poster.pdf
README.md
accident_clusters.py
analyze_car_accidents.py
analyze_mbta_stops.py
combine_data_by_districts.py
get_car_accidents.py
get_mbta_stops.py
get_street_lights.py
get_traffic_signals.py
get_transportation_districts.py
kmeans.py
lights_accidents_correlation.py
pval.py

README.md

Introduction

Project description can be found on the webpage that is generated when you launch the web app.

Screenshots of the charts created can be found in "charts" folder.

Instructions

Get Required Datasets

Execute the following files to download all datasets:

  1. get_car_accidents.py
  2. get_street_lights.py
  3. get_traffic_signals.py
  4. get_mbta_stops.py
  5. get_transportation_districts.py

Perform Transformations

Execute the following files:

  1. analyze_car_accidents.py
  2. analyze_mbta_stops.py
  3. combine_data_by_districts.py
  4. lights_accidents_correlation.py
  5. accident_clusters.py

Launch Web App

  1. Open "web" directory
  2. Make sure you have Flask installed
  3. Make sure you have Mongo running
  4. Execute "python run.py" using python 3