/bikeshare_analysis

Exploratory Data Analysis (EDA) on 2016 Bikeshare Data Using Python

Primary LanguageJupyter Notebook

Bike Share Analysis

In this project, we learned how to wrangle data, compute descriptive statistics, and to perform basic exploratory visualizations.

Skills demonstrated:

  • Code python functions to transform unstructured CSV files into structured lists;
  • Condense and further tidy by isolating common fields, also using python;
  • Compute descriptive statistics such as trip counts and average trip length in python;
  • Use python's matplotlib library to create visualizations such as histograms and bar charts illustrating trip distributions across time and geographical dimensions.