BikeShare Data Analysis

INTRODUCTION

This project is about the US bike share datas analysis of three different cities and have made the analysis to produce a desire result to improve the bike share business, by analysing from different asepcts of the data.

CONTENTS OF THIS FOLDER

• This Folder containes the US Bikeshare Data Analysis Files.
  • Bike_Share_Analysis.ipynb file contains the entire code in the python notebook formate.
  • Bike_Share_Analysis.html this is the html formate of the Jupyter notebook file where the Program have been run and executed.
  • Added all the data's which have been used in this in analysis for answering the questions, wrangling data, data exploration and to produce the desire result.

TOOLS & PACKAGES USED

• Tools:
  • Python
  • Jupyter Notebook
• Packages:
  • Pandas
  • Matplotlob
  • Numpy

INSTALLTION REQUIRED

• Python 2.7 or 3.6
• Conda (Recommended)
• Jupyter Notebook
• After installing python and jupyter notebook install the required packages through Termianl
  • Matplotlib
  • Pandas

Contributing

Please read CONTRIBUTION.md for details on our code of conduct, and the process for submitting pull requests to us.

LICENSE

This project is licensed under the MIT License - see the LICENSE.md file for details