Spice Up Your Life!

The data in this repo comes from Spotify and Genius. Thank you to the authors of the spotifyr and geniusr packages for making it easy to access data from these platforms!

There are 3 data sets about or related to the Spice Girls:

• studio_album_tracks: Audio features of each song from the three studio albums by the Spice Girls. From Spotify.
• related artists: Artists deemed to be similar to the Spice Girls, with info about each artist including their musical genres and follower numbers. Includes a row with details for the Spice Girls, for comparison purposes. From Spotify.
• lyrics: Lyrics of each song from the three studio albums by the Spice Girls. From Genius.

Credit: Jacquie Tran

Data dictionaries

A data dictionary for each data set is provided here.

Example use

The R code below uses the studio_album_tracks data set to produce summary statistics for selected audio features.

# Load libraries
library(dplyr)

# Read data into R
studio_album_tracks <- readr::read_csv("https://github.com/jacquietran/spice_girls_data/raw/main/data/studio_album_tracks.csv")

# For each album, calculate mean values for danceability, energy, and valence
studio_album_tracks %>%
  group_by(album_name) %>%
  summarise(
    danceability_mean = mean(danceability),
    energy_mean = mean(energy),
    valence_mean = mean(valence)) %>%
  ungroup() %>%
  # Set factor levels of album_name
  mutate(
    album_name = factor(
      album_name, levels = c("Spice", "Spiceworld", "Forever"))) %>%
  arrange(album_name)
#> # A tibble: 3 x 4
#>   album_name danceability_mean energy_mean valence_mean
#>   <fct>                  <dbl>       <dbl>        <dbl>
#> 1 Spice                  0.694       0.731        0.756
#> 2 Spiceworld             0.570       0.776        0.642
#> 3 Forever                0.695       0.722        0.583

Useful packages

• spotifyr: https://www.rcharlie.com/spotifyr/index.html
• geniusr: https://ewenme.github.io/geniusr/