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top50Playlist.R
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# load libraries
library(jsonlite)
library(lubridate)
library(gghighlight)
library(spotifyr)
library(tidyverse)
library(knitr)
library(ggplot2)
library(plotly)
library(tm)
library(genius)
library(tidytext)
library(kableExtra)
# user information
Sys.setenv(SPOTIFY_CLIENT_ID = '4cf3afdca2d74dc48af9999b1b7c9c61')
Sys.setenv(SPOTIFY_CLIENT_SECRET = 'a083ff9e65144e6e85fd98ad7f46cda6')
access_token <- get_spotify_access_token()
#get_spotify_authorization_code()
#get_playlist_audio_features()
plTracks <- get_playlist_tracks('37i9dQZEVXbLRQDuF5jeBp')
# get each track name, number, and id
plTracksName <- plTracks$track.name # track name
totalTracks <- length(plTracksName) # total number
plTracksID <- plTracks$track.id # track id
# get each track artist
myArtists <- plTracks$track.artists
myArtistsName <- c()
myArtistsID <- c()
for(n in 1:totalTracks){
if(length(myArtists[[n]][[3]])){
myArtistsName <- append(
myArtistsName,
myArtists[[n]][[3]][[1]])
myArtistsID <- append(
myArtistsID,
myArtists[[n]][[2]][[1]])
}
else{
myArtistsName <- append(
myArtistsName,
myArtists[[n]][[3]])
myArtistsID <- append(
myArtistsID,
myArtists[[n]][[2]])
}
}
# get each track album name, ID, release date
plTracksAlbum <- plTracks$track.album.name
plTracksAlbumID <- plTracks$track.album.id
plTracksAlbumRelease <- plTracks$track.album.release_date
# get each track popularity and color
plTracksPopularity <- plTracks$track.popularity
plTracksColor <- plTracks$primary_color
# get each track duration
plTrackDuration <- plTracks$track.duration_ms
# get each track info
plTracksInfo1 <- get_track_audio_features(plTracksID[0:totalTracks])
plTracksInfo <- rbind.data.frame(plTracksInfo1)
plTrackDanceability <- plTracksInfo[, "danceability"]
plTrackEnergy <- plTracksInfo[, "energy"]
plTrackAcousticness <- plTracksInfo[, "acousticness"]
plTrackKey <- plTracksInfo[, "key"]
plTrackLoudness <- plTracksInfo[, "loudness"]
plTrackMode <- plTracksInfo[, "mode"]
plTrackSpeechiness <- plTracksInfo[, "speechiness"]
plTrackInstrumentalness <- plTracksInfo[, "instrumentalness"]
plTrackLiveness <- plTracksInfo[, "liveness"]
plTrackValence <- plTracksInfo[, "valence"]
plTrackTempo <- plTracksInfo[, "tempo"]
df_playlist1 <- data.frame(
"track.id" = plTracksID,
"track.name" = plTracksName,
"track.artist" = myArtistsName,
"track.artist.id" = myArtistsID,
"track.album.id" = plTracksAlbumID,
"track.album.name" = plTracksAlbum,
"track.popularity" = plTracksPopularity,
"track.album.release" = plTracksAlbumRelease,
"danceability" = plTrackDanceability,
"energy" = plTrackEnergy,
"key" = plTrackKey,
"loudness" = plTrackLoudness,
"mode" = plTrackMode,
"speechiness" = plTrackSpeechiness,
"acousticness" = plTrackAcousticness,
"instrumentalness" = plTrackInstrumentalness,
"liveness" = plTrackLiveness,
"valence" = plTrackValence,
"tempo" = plTrackTempo,
"duration_ms" = plTrackDuration
)
###################
artist_id_list <- df_playlist1$track.artist.id
total_artist_list <- rbind(get_artists(artist_id_list[1:50])) # get_artists doesn't allow for more than 50 requests at a time
#genre_list <- total_artist_list$genres #unlist(total_artist_list$genres)
df_playlist1$genres <- total_artist_list$genres
df_playlist1$artist.followers <- total_artist_list$followers.total
df_playlist1$artist.popularity <- total_artist_list$popularity
###########################################
playlistTracks <- df_playlist1 %>%
mutate(position = rank(-track.popularity, ties.method = "first")) %>%
arrange(position) %>%
select(
c(
position,
track.name,
track.album.name,
track.artist,
track.album.release,
duration_ms,
track.popularity
)
)
colnames(playlistTracks) <- c("rank", "track", "album", "artists", "release", "duration", "popularity")
trackFeatures <- df_playlist1 %>%
mutate(position = rank(-track.popularity, ties.method = "first")) %>%
arrange(position) %>%
select(c(position, track.name, danceability, energy,
key, loudness, mode, speechiness, acousticness,
instrumentalness, liveness, valence, tempo, duration_ms))