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 que…

In this project, I made 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. I have written code to import the data and answer interesting questions about it by computing descriptive statistics. I have also written a script that takes in raw input to cre…

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.

Explored the US Bike Share data of three major cities, unified the format of the data, examined data patterns using descriptive statistics and visualization.

You will perform an exploratory analysis on data , You will compare the bike system usage between three large cities: New York City, Chicago, and Washington, DC. You will also see if there are any differences within each system for those users that are registered, regular users and those users that are short-term, casual users.

This project filters data for three cities, this project saves your time and extracts the data that you need.

This repository includes all projects that I have done during Data Analyst Term 1 Nano Degree

Explore data related to bike share systems for three major cities in the United States - Chicago, New York City, and Washington.