In this repo, I performed data cleaning, visualization, and statistical testing in R on Spotify’s Global Top 50 songs. I also implemented multiple regression to identify multivariate predictors of song popularity. Altogether, the following data science techniques were applied to extract insights on Spotify's top songs in 2019:
I) Data Cleaning
II) Exploratory Data Analysis
III) Statistical Testing and Regression Analysis
IV) Modeling
For a visual companion to the code in this repository check out the following link to my notebook in Kaggle.