taylor_album_songs <- readr::read_csv('https://raw.githubusercontent.com/rfordatascience/tidytuesday/master/data/2023/2023-10-17/taylor_album_songs.csv')
## Rows: 194 Columns: 29
## ── Column specification ────────────────────────────────────────────────────────
## Delimiter: ","
## chr (7): album_name, track_name, artist, featuring, key_name, mode_name, k...
## dbl (14): track_number, danceability, energy, key, loudness, mode, speechin...
## lgl (4): ep, bonus_track, explicit, lyrics
## date (4): album_release, promotional_release, single_release, track_release
##
## ℹ Use `spec()` to retrieve the full column specification for this data.
## ℹ Specify the column types or set `show_col_types = FALSE` to quiet this message.
taylor_album_songs$album_name
## [1] "Taylor Swift" "Taylor Swift"
## [3] "Taylor Swift" "Taylor Swift"
## [5] "Taylor Swift" "Taylor Swift"
## [7] "Taylor Swift" "Taylor Swift"
## [9] "Taylor Swift" "Taylor Swift"
## [11] "Taylor Swift" "Taylor Swift"
## [13] "Taylor Swift" "Taylor Swift"
## [15] "Taylor Swift" "Fearless (Taylor's Version)"
## [17] "Fearless (Taylor's Version)" "Fearless (Taylor's Version)"
## [19] "Fearless (Taylor's Version)" "Fearless (Taylor's Version)"
## [21] "Fearless (Taylor's Version)" "Fearless (Taylor's Version)"
## [23] "Fearless (Taylor's Version)" "Fearless (Taylor's Version)"
## [25] "Fearless (Taylor's Version)" "Fearless (Taylor's Version)"
## [27] "Fearless (Taylor's Version)" "Fearless (Taylor's Version)"
## [29] "Fearless (Taylor's Version)" "Fearless (Taylor's Version)"
## [31] "Fearless (Taylor's Version)" "Fearless (Taylor's Version)"
## [33] "Fearless (Taylor's Version)" "Fearless (Taylor's Version)"
## [35] "Fearless (Taylor's Version)" "Fearless (Taylor's Version)"
## [37] "Fearless (Taylor's Version)" "Fearless (Taylor's Version)"
## [39] "Fearless (Taylor's Version)" "Fearless (Taylor's Version)"
## [41] "Fearless (Taylor's Version)" "Speak Now"
## [43] "Speak Now" "Speak Now"
## [45] "Speak Now" "Speak Now"
## [47] "Speak Now" "Speak Now"
## [49] "Speak Now" "Speak Now"
## [51] "Speak Now" "Speak Now"
## [53] "Speak Now" "Speak Now"
## [55] "Speak Now" "Speak Now"
## [57] "Speak Now" "Speak Now"
## [59] "Red (Taylor's Version)" "Red (Taylor's Version)"
## [61] "Red (Taylor's Version)" "Red (Taylor's Version)"
## [63] "Red (Taylor's Version)" "Red (Taylor's Version)"
## [65] "Red (Taylor's Version)" "Red (Taylor's Version)"
## [67] "Red (Taylor's Version)" "Red (Taylor's Version)"
## [69] "Red (Taylor's Version)" "Red (Taylor's Version)"
## [71] "Red (Taylor's Version)" "Red (Taylor's Version)"
## [73] "Red (Taylor's Version)" "Red (Taylor's Version)"
## [75] "Red (Taylor's Version)" "Red (Taylor's Version)"
## [77] "Red (Taylor's Version)" "Red (Taylor's Version)"
## [79] "Red (Taylor's Version)" "Red (Taylor's Version)"
## [81] "Red (Taylor's Version)" "Red (Taylor's Version)"
## [83] "Red (Taylor's Version)" "Red (Taylor's Version)"
## [85] "Red (Taylor's Version)" "Red (Taylor's Version)"
## [87] "Red (Taylor's Version)" "Red (Taylor's Version)"
## [89] "1989" "1989"
## [91] "1989" "1989"
## [93] "1989" "1989"
## [95] "1989" "1989"
## [97] "1989" "1989"
## [99] "1989" "1989"
## [101] "1989" "1989"
## [103] "1989" "1989"
## [105] "reputation" "reputation"
## [107] "reputation" "reputation"
## [109] "reputation" "reputation"
## [111] "reputation" "reputation"
## [113] "reputation" "reputation"
## [115] "reputation" "reputation"
## [117] "reputation" "reputation"
## [119] "reputation" "Lover"
## [121] "Lover" "Lover"
## [123] "Lover" "Lover"
## [125] "Lover" "Lover"
## [127] "Lover" "Lover"
## [129] "Lover" "Lover"
## [131] "Lover" "Lover"
## [133] "Lover" "Lover"
## [135] "Lover" "Lover"
## [137] "Lover" "folklore"
## [139] "folklore" "folklore"
## [141] "folklore" "folklore"
## [143] "folklore" "folklore"
## [145] "folklore" "folklore"
## [147] "folklore" "folklore"
## [149] "folklore" "folklore"
## [151] "folklore" "folklore"
## [153] "folklore" "folklore"
## [155] "evermore" "evermore"
## [157] "evermore" "evermore"
## [159] "evermore" "evermore"
## [161] "evermore" "evermore"
## [163] "evermore" "evermore"
## [165] "evermore" "evermore"
## [167] "evermore" "evermore"
## [169] "evermore" "evermore"
## [171] "evermore" "Midnights"
## [173] "Midnights" "Midnights"
## [175] "Midnights" "Midnights"
## [177] "Midnights" "Midnights"
## [179] "Midnights" "Midnights"
## [181] "Midnights" "Midnights"
## [183] "Midnights" "Midnights"
## [185] "Midnights" "Midnights"
## [187] "Midnights" "Midnights"
## [189] "Midnights" "Midnights"
## [191] "Midnights" "Midnights"
## [193] "Midnights" "Midnights"
str_detect(taylor_album_songs$album_name, "reputation")
## [1] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [13] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [25] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [37] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [49] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [61] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [73] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [85] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [97] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE TRUE TRUE TRUE TRUE
## [109] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE FALSE
## [121] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [133] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [145] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [157] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [169] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [181] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [193] FALSE FALSE
sum(str_detect(taylor_album_songs$album_name, "reputation"))
## [1] 15
taylor_album_songs %>%
summarise(num_reputation = sum(str_detect(album_name, "reputation")))
## # A tibble: 1 × 1
## num_reputation
## <int>
## 1 15
taylor_album_songs %>%
mutate(col_reputation = str_extract(album_name, "reputation")) %>%
select(album_name, col_reputation) %>%
filter(!is.na(col_reputation))
## # A tibble: 15 × 2
## album_name col_reputation
## <chr> <chr>
## 1 reputation reputation
## 2 reputation reputation
## 3 reputation reputation
## 4 reputation reputation
## 5 reputation reputation
## 6 reputation reputation
## 7 reputation reputation
## 8 reputation reputation
## 9 reputation reputation
## 10 reputation reputation
## 11 reputation reputation
## 12 reputation reputation
## 13 reputation reputation
## 14 reputation reputation
## 15 reputation reputation
taylor_album_songs %>% mutate(col_Lover = str_replace(album_name, "reputation", "Lover")) %>% select(album_name, col_Lover) %>%
filter(album_name %>% str_detect("reputation"))
## # A tibble: 15 × 2
## album_name col_Lover
## <chr> <chr>
## 1 reputation Lover
## 2 reputation Lover
## 3 reputation Lover
## 4 reputation Lover
## 5 reputation Lover
## 6 reputation Lover
## 7 reputation Lover
## 8 reputation Lover
## 9 reputation Lover
## 10 reputation Lover
## 11 reputation Lover
## 12 reputation Lover
## 13 reputation Lover
## 14 reputation Lover
## 15 reputation Lover