A bike share provider in the United States wanted to uncover bike share usage patterns. Data (> 10 million rows) from Chicago, New York City, and Washington, DC were analyzed and appropriate descriptive statistics computed utilizing Python , ATOM (IDE), and JSON data formats. If you would like a copy of the .py file please contact me.
This project was done as part of my course work at Udacity (www.udacity.com) for the Data Analyst Nano Degree (DAND).