This project was created in October, 2019 in partial fulfilment of the requirements for the completion of the Programming for Data Science Nanodegree on Udacity.
Motivate's Bikeshare Data Project
The project uses Python, numpy and pandas to import US bike share data and answer interesting questions by computing descriptive statistics. It also provides an interactive experience in the terminal by collecting user input to segment the data by city, month, and day. It also shows raw data if requested by the user.
The dataset was provided by Motivate and covers three cities in the US - Chicago, New York City and Washington.
The datasets were contained in three csv files: chicago.csv, new york.csv, and washington.csv.
- Python 3
- Numpy
- Pandas
- Text editor e.g Sublime Text or Atom
- Terminal application
The codebase was inspired by that provided by Udacity
All copyright and licensing rights exclusively belong to @pythondroid