This repository contains project code that takes in a public transit sample data that was collected from the Toronto Transportation Commission and summarizes the data of two randomly selected routes along with two directions with four boxplots, containing the medium, outliers, as well as the 25th and 75th percentiles (Q1 and Q3).
This project was created using Jupyter Notebook, and coded in Python with the Pandas Python Library which enables CSV/Excel reading, data cleaning, filtering & slicing, and plotting the boxplots.
