The objective of the project was to create a command line workflow that uses Indego data, available at https://www.rideindego.com, to generate an animation. The animation aims to illustrate how the Covid-19 pandemic impacted the use of Indego bicycles in 2020.

To achieve this goal, I started by collecting and analyzing the Indego data for the year 2020. I looked at various variables such as the number of trips, trip duration, start and end stations, and user types. Then, I compared the data from the pre-pandemic period (January to March) with the data from the pandemic period (April to December).

Next, I designed a command line workflow that could automate the process of collecting, cleaning, and analyzing the data.

The animation I created shows the increase in bike usage as the pandemic and lockdowns started. This suggests that people were using the bikes as a way to stay active when being stuck at home.

Overall, this project demonstrates the potential of using data analysis and visualization to gain insights into the effects of global events such as the Covid-19 pandemic. It also showcases the power of command line workflows in automating data processing tasks, which can save time and increase efficiency.