COVID Running Analysis
A statistical analysis using Python and R that visualizes running trends before, during, and after COVID to answer the question: was COVID the start of the running trend?
This analysis was conducted using a running dataset from Kaggle spanning the COVID time period. We used datasets from both 2019 and 2020 to investigate whether COVID truly catalyzed the modern running trend.
The analysis pipeline included thorough data cleaning, feature engineering, and the evaluation of multiple linear regression models. We analyzed specific predictors to understand what factors most influenced running behavior during this period.
Visualizations were created in R to clearly show how running patterns shifted before, during, and after COVID lockdowns. The combination of Python for data processing and R for statistical visualization provided a robust analytical framework for answering our central research question.