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Date created

28/11/2018

Bikeshare Python Project

Programming for Data Science

Project sections

  1. Description
  2. Files used
  3. Credits
    1. Articles/Content
    2. Video
    3. Example code
    4. Course Trello board

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:

  1. New York City data
  2. Washington Data
  3. Chicago data

Files used in the project include:

  1. Bikeshare python program files
  2. CSV data files
    1. New York City data
    2. Washington Data
    3. Chicago Data
  3. README.md file for documentation
  4. readme.txt file with references

The following references are noted:

https://stackoverflow.com/questions/21082671/find-and-select-the-most-frequent-data-of-column-in-pandas-dataframe

https://stackoverflow.com/questions/40084887/python-using-modulo-to-get-the-remainder-from-changing-secs-to-hrs-and-minute

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://codereview.stackexchange.com/questions/167274/sum-array-values-based-on-conditions-in-other-arrays

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

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