DataMiningProject

Dataset can be found here: https://data.cityofnewyork.us/Public-Safety/Motor-Vehicle-Collisions-Crashes/h9gi-nx95

Requirements

• Python 3
  • .7 .8

Installation

Windows

• pip install -r requirements.txt
• Download pyproj from https://www.lfd.uci.edu/~gohlke/pythonlibs/#basemap. Make sure to install the corresponding Python version. Then run pip install PYPROJ_FILE.whl
• Download basemap from https://www.lfd.uci.edu/~gohlke/pythonlibs/#basemap. Make sure to install the corresponding Python version. Then run pip install BASEMAP_FILE.whl
• Basemap has been tested with version 3.7, 3.8 of Python

Mac

• pip install -r requirements.txt
• Download latest basemap release from https://github.com/matplotlib/basemap/releases/. Unzip the X.Y.Z source tar.gz file and cd to the basemap-X.Y.Z directory. Then run python setup.py install.

Usage

Data Cleaning

• Some visualizations require external cleaning to do this run python data_cleaner.py
• Before running ensure you have the downloaded the Dataset described above and named it Motor_Vehicle_Collisions_-_Crashes.csv.
• A file called Clean_Motor_Vehicle_Collisions_-_Crashes.csv should be generated after running the data cleaning script.

Generating Visualizations

• Visualizations can be generated via running python analytics.py
• Before running ensure you have the downloaded the Dataset described above and named it Motor_Vehicle_Collisions_-_Crashes.csv.
• Before running ensure you have performed the steps described under Data Cleaning