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

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US Bike Share Data

Overview

Over the past decade, bicycle-sharing systems have been growing in number and popularity in cities across the world. Bicycle-sharing systems allow users to rent bicycles for short trips, typically 30 minutes or less. Thanks to the rise in information technologies, it is easy for a user of the system to access a dock within the system to unlock or return bicycles. These technologies also provide a wealth of data that can be used to explore how these bike-sharing systems are used.

Introduction

Exploring US Bike Share data of the three cities : New York, Chicago and Washington using Python (3.6) on Jupyter notebook

Commit message style

  • Docs: For document change/update
  • Gather: For Wrangling process - Reading/Gathering
  • Assess: For Wrangling process - Assess
  • Viz: For visualization
  • Clean: For wrangling process - Cleaning quality and - tidiness issues, may include test codes too
  • Refactor: Refactoring existing code
  • Chore: Package manager

License

This project is a public domain work, feel free to use it.

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

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