This file was created on 8/29/2019

Bikeshare Data Analysis Using Python

This project analyzes bike data from 3 cities. Using the data, it prints descriptive statistics so that a hypothesis can be made.

The program also provides error handling to avoid corrupt/incomplete data

Note that the project does not source from any database. This will be demonstrated in a later project.

Include bikeshare_2.py for the data analysis and chicago.csv, new_york_city.csv, washington.csv for data analysis

Motivated by Udacity's Nanodegree Programming for Data Science. This course teaches SQL, Python, and Git Version Control pertaining to data science.