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United States Bikeshare data analysis is a capstone project for a Data Science Internship program at Wejapa. This is a project that make use of Python to explore data related to bike share systems for three major cities in the United States—Chicago, New York City, and Washington. It contains code that imports the data and answers interesting questions about it by computing descriptive statistics. Also, there's a script that takes in raw input to create an interactive experience in the terminal to present these statistics.
Analyzing the bike-share data of US from Motivate, for three popular cities Washington, New York, and Chicago and showing statistics for different users, stations, and times of travel. Also filters the data sets according to the user's choice and shows statistics on the filtered data.
Explore data related to bike share systems for three major cities in the United States - Chicago, New York City, and Washington.
This is a project for my Udacity Python Foundations nanodegree. The nanodegree focused on using Python for data and got me introduced to libraries like numpy and pandas.