This includes the raw data files for both Hot 100 and Pazz & Jop listing singles and albums and genre assignments and all R code used in our analysis along with an explanatory README.txt file. Other items include: Full tables of genre counts for years 1974-2018; Tables of estimated multinomial logit model coefficients; Scatterplot matrix of candidate predictors; Various residual plots; Diagnostic plots for association analysis; Boxplots of 2019 Hot 100 forecasts from the model with the cubic time trend; and the cross-correlation function graph.
Popular music genre preferences can be measured by consumer sales, listening habits, and critics’ opinions. We analyze trends in genre preferences from 1974 through 2018 presented in annual