Calculate Listening Diversity

Measures how diverse your listening habits are using Shannon entropy. Prints a clean summary to the console and returns results invisibly.

Usage

calculate_listening_diversity(history_df)

Arguments

history_df

Data frame from get_recently_played()

Value

Invisibly returns a list containing:

• unique_artists - Number of unique artists

• unique_tracks - Number of unique tracks

• total_plays - Total number of plays

• top_artist - Most played artist

• top_artist_percentage - Percentage of plays by top artist

• diversity_score - Score from 0-100 (higher = more diverse)

• interpretation - Text description of diversity

Examples

if (FALSE) { # \dontrun{
history <- get_recently_played(n_total = 500)
calculate_listening_diversity(history)

playlist <- get_playlist_tracks("https://open.spotify.com/playlist/123abc")
calculate_listening_diversity(playlist)
} # }