Project has been created on 28/04/2019

This project is part of Udacity's Programming for Data Science Nanodegree.

This script is used to explore data related to bike share systems for Chicago, New York City, and Washington. It imports data from csv files and computes descriptive statistics from the data. It takes in users' raw input to create an interactive experience in the terminal to present these statistics.

• chicago.csv
• new-york-city.csv
• washington.csv

Copied seconds to days converter from following source:
https://stackoverflow.com/questions/4048651/python-function-to-convert-seconds-into-minutes-hours-and-days

Counting unique values with bands:
https://stackoverflow.com/questions/38309729/count-unique-values-with-pandas-per-groups/38309823

Get position in a list:
https://stackoverflow.com/questions/4081672/position-in-an-list

Select rows for a specific month in Pandas:
https://stackoverflow.com/questions/50265938/select-rows-for-a-specific-month-in-pandas

Obtain mode from column in groupby [duplicate] >> Removed from code:
https://stackoverflow.com/questions/48645354/obtain-mode-from-column-in-groupby

Pandas - Sort by most frequent value combinations:
https://www.reddit.com/r/learnpython/comments/7s99rk/pandas_sort_by_most_frequent_value_combinations/