README.md

Exploratory Data Analysis performed to understand attributes of the accident 🐍

Author

• Sreejith Sreekumar

Folder Organization

• htmls : Since the map outputs do not render on github, html output documents of previous successful runs
  have been placed here as a demo.
• scrap-code : Intermediate scrap code used in the eda for testing
• address_list_x : These files are address from geo-tags in json format. Since most service providers restrict decoding geo to address api limits to ~ 2000 calls per day, the points have been extracted, grouped into 6 batches for decoding, and the decoded addresses have been cached as files and kept in these files.
• co-ordinates : Collection of points, which are analysed later in 6 batches

Dependencies

1. pandas==0.21.0
2. matplotlib==2.0.2
3. folium==0.5.0
4. json==1.35
5. scikit-learn==0.19.1

• A requirements.txt file has been added in the folder. Please use pip install -r requirements.txt for installing the requirements

Notebook

1. Accidents - EDA