28/11/2018
The Python Bikeshare project is made for the interrogation of Bikeshare data for the purpose of statistical analysis.
The program reviews data from 3 data files formatted as CSV. These are:
- New York City data
- Washington Data
- Chicago data
Files used in the project include:
- Bikeshare python program files
- CSV data files
- New York City data
- Washington Data
- Chicago Data
- README.md file for documentation
- readme.txt file with references
The following references are noted:
https://leportella.com/cheatlist/2017/11/22/pandas-cheat-list.html#unique-ocurrences
https://coderbyte.com/solution/Time%20Convert
https://www.geeksforgeeks.org/python-pandas-split-strings-into-two-list-columns-using-str-split/
https://pandas.pydata.org/pandas-docs/stable/generated/pandas.to_datetime.html
https://towardsdatascience.com/understanding-numpy-sum-1587eec69527
https://gist.github.com/garrettdreyfus/8153571
https://jeffdelaney.me/blog/useful-snippets-in-pandas/
https://www.youtube.com/watch?v=6TEGxJXLAWQ
https://www.youtube.com/watch?v=qelrVA3zeMc
https://www.youtube.com/watch?v=NIWwJbo-9_8
https://www.youtube.com/watch?v=eirjjyP2qcQ
https://www.kaggle.com/datasets https://www.kaggle.com/samratp/bike-share-analysis
Troll board of extensive referenced sources from the entire Programming for data science course https://trello.com/b/mErgsV7h/pythonresources