Project overview

Over the next few days, we’ll be engaged in a research project investigating COVID-19 case rates over time and space. The goal is to learn about best practices for handling and using data throughout the data life-cycle, which includes: data acquisition and cleaning, data visualization and analysis, as well as data archiving and dissemination. We’ll learn how to programmatically extract COVID-19 data from online sources, wrangle those data into a clean state, visualize the data temporally and spatially, analyze the data using a variety of statistical models, and finally archive the project replication files (code and data) into an online data repository.