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Udacity Bikeshare project

Udacity data analyst Bikeshare data

This project explores Bike share data from 3 different cities, it uses data from csv files to compute statistics from those 3 cities, also takes user inputs to create an interactive experience.

Needed Software

You can run the bikeshare_2.py file using either the python integrated environment or a text editor of your choice (atom). so you will need to install anaconda and python 3.x to run the file.

  • You should have python 3.x, Numpy, and pandas installed with anaconda
  • A text editor like atom
  • A terminal (terminal on mac and linux or cygwin/gitbash for windows).

Built With

  • Anaconda
  • Python
  • Pandas
  • Numpy
  • Pycharm (IDE)

Files used

  • chicago.csv
  • new_york_city.csv
  • washington.csv
  • bikeshare.py

References

  • Python docs
  • Pandas docs
  • Datetime docs
  • Stack overflow
  • Udacity student forums

Books

  • Data Science Projects with python <<<<<<< HEAD
  • Python for data science, the ultimate guide
  • python data analytic.

Authors

  • Justin Johnson (Student)

License

  • MIT =======
  • Python for data science, the ultimate guide.

911c8c33f41536b986041ab6d8dc6ed9c9f2a100

pdsnd_github's People

Contributors

justin62913 avatar rbudacprojects avatar

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