10/15/2018

Analyzing bike-share use data in the US

Bike transportation is an efficient and agile alternative for users in big and crowded cities. Based on bike-user traffic data from three major US cities, a simple python script was written to read and process data, such that users can interact with a terminal and compute basic statistics and patterns of bike usage patterns.

bikeshare_final.py

Data files from three cities (Chicago, New York, Washington): chicago.csv, new_york_city.csv, washington.csv

Data retrieved from: https://www.motivateco.com/

Sources consulted for improving code readability: Python official documentation: https://docs.python.org/3/tutorial/datastructures.html

Using pandas for data manipulation: https://www.datacamp.com/community/data-science-cheatsheets?page=4

Chapter two ("A crash course in python") in Data Science from Scratch (...) by Joel Grus http://shop.oreilly.com/product/0636920033400.do