Title: | Lyrics and Song Data for Taylor Swift's Discography |
Version: | 3.2.0 |
Description: | A comprehensive resource for data on Taylor Swift songs. Data is included for all officially released studio albums, extended plays (EPs), and individual singles are included. Data comes from 'Genius' (lyrics) and 'Spotify' (song characteristics). Additional functions are included for easily creating data visualizations with color palettes inspired by Taylor Swift's album covers. |
License: | MIT + file LICENSE |
URL: | https://taylor.wjakethompson.com, https://github.com/wjakethompson/taylor |
BugReports: | https://github.com/wjakethompson/taylor/issues |
Depends: | R (≥ 3.6) |
Imports: | cli, ggplot2, glue, lifecycle, methods, rlang, scales, tibble, vctrs |
Suggests: | bookdown, dplyr, knitr, palmerpenguins, patchwork, rmarkdown, spelling, testthat (≥ 3.0.0), tidyr, vdiffr (≥ 1.0.2) |
VignetteBuilder: | knitr |
Config/testthat/edition: | 3 |
Config/Needs/website: | bookdown |
Encoding: | UTF-8 |
Language: | en-US |
LazyData: | true |
RoxygenNote: | 7.3.2 |
NeedsCompilation: | no |
Packaged: | 2025-01-07 20:30:04 UTC; jakethompson |
Author: | W. Jake Thompson |
Maintainer: | W. Jake Thompson <wjakethompson@gmail.com> |
Repository: | CRAN |
Date/Publication: | 2025-01-07 20:50:02 UTC |
taylor: Lyrics and Song Data for Taylor Swift's Discography
Description
A comprehensive resource for data on Taylor Swift songs. Data is included for all officially released studio albums, extended plays (EPs), and individual singles are included. Data comes from 'Genius' (lyrics) and 'Spotify' (song characteristics). Additional functions are included for easily creating data visualizations with color palettes inspired by Taylor Swift's album covers.
Author(s)
Maintainer: W. Jake Thompson wjakethompson@gmail.com (ORCID) [copyright holder]
See Also
Useful links:
Report bugs at https://github.com/wjakethompson/taylor/issues
Correct ordering of Taylor Swift's albums
Description
Easily create a factor variable for Taylor Swift's albums. Rather than specifying each album individually, you can use this shortcut vector that has already specified the ordering.
Usage
album_levels
Format
A vector of length 15. Each element is an album name, in an order that can be used for making factor variables.
Details
Albums are listed in release order, with one notable exception. The
"Taylor's Version" releases are list directly following the original. That
is, Fearless (Taylor's Version) comes directly after Fearless, rather
than after evermore, when it was released. This is because
"Taylor's Version" is often a stand-in for the original, as in
taylor_album_songs
. Thus, it more often makes more sense for the album to
be placed with the original, rather than in the actual release order.
Examples
library(ggplot2)
studio_albums <- subset(taylor_albums, !ep)
# by default, albums get plotted in alphabetical order
ggplot(studio_albums, aes(x = metacritic_score, y = album_name)) +
geom_col()
# use `album_levels` to create a sensible factor variable
studio_albums$album_name <- factor(studio_albums$album_name,
levels = album_levels)
ggplot(studio_albums, aes(x = metacritic_score, y = album_name)) +
geom_col()
Color palettes based on Taylor Swift's albums
Description
Premade color palettes based on Taylor Swifts album covers. For details on
how to extend and shorten these palettes, or create your own color palette,
see color_palette()
.
Usage
album_palettes
album_compare
Format
A list of length 15. Each element contains a color palette for one of Taylor Swift's studio albums. The list elements are named according to the name of the album.
An object of class taylor_color_palette
(inherits from vctrs_vctr
, character
) of length 15.
Source
Colors derived from album covers using 'Colormind'.
See Also
Examples
album_palettes
album_compare
album_palettes$evermore
Create a custom color palette
Description
This creates a character vector that represents palettes so when it is printed, it displays the palette colors.
Usage
color_palette(pal = character(), n = length(pal))
is_color_palette(pal)
Arguments
pal |
|
n |
The number of colors |
Value
A color palette object.
Examples
# use color_palette() to extend or shorten an existing palette
color_palette(album_palettes$lover, n = 10)
color_palette(album_palettes$fearless, n = 10)
color_palette(album_palettes$red, n = 3)
# you can also define your own color palette
(my_pal <- color_palette(pal = c("#264653", "#2A9D8F", "#E9C46A",
"#F4A261", "#E76F51")))
# and then use that palette for plotting
library(ggplot2)
ggplot(faithfuld) +
geom_tile(aes(waiting, eruptions, fill = density)) +
scale_fill_gradientn(colours = my_pal) +
theme_minimal()
The Eras Tour Surprise Songs
Description
A data set containing all of the surprise songs played on The Eras Tour through the first North American leg of the tour.
Usage
eras_tour_surprise
Format
A tibble with 298 rows and 9 variables:
-
leg
: The leg of the tour (e.g., North America, South America, etc.). -
date
: The date of the show in ISO 8601 format (yyyy-mm-dd). -
city
: The location of the show. For US shows, the location is the city and state. For international shows, the location is the city and country. -
night
: The show number within each city. -
dress
: The color of the dress Taylor wore on the given night. -
instrument
: The instrument used to play the song (guitar or piano). -
song
: The track name of the primary surprise song. -
mashup
: Additional songs included in a mashup with the primary song. -
guest
: The special guest (if any) that joined Taylor to play the song.
Taylor Swift colour scales based on album cover palettes
Description
Taylor Swift colour scales based on album cover palettes
Usage
scale_colour_taylor_d(
...,
alpha = 1,
begin = 0,
end = 1,
direction = 1,
album = "Lover",
aesthetics = "colour"
)
scale_color_taylor_d(
...,
alpha = 1,
begin = 0,
end = 1,
direction = 1,
album = "Lover",
aesthetics = "colour"
)
scale_fill_taylor_d(
...,
alpha = 1,
begin = 0,
end = 1,
direction = 1,
album = "Lover",
aesthetics = "fill"
)
scale_colour_taylor_c(
...,
alpha = 1,
begin = 0,
end = 1,
direction = 1,
album = "Lover",
values = NULL,
space = "Lab",
na.value = "grey50",
guide = "colourbar",
aesthetics = "colour"
)
scale_color_taylor_c(
...,
alpha = 1,
begin = 0,
end = 1,
direction = 1,
album = "Lover",
values = NULL,
space = "Lab",
na.value = "grey50",
guide = "colourbar",
aesthetics = "colour"
)
scale_fill_taylor_c(
...,
alpha = 1,
begin = 0,
end = 1,
direction = 1,
album = "Lover",
values = NULL,
space = "Lab",
na.value = "grey50",
guide = "colourbar",
aesthetics = "fill"
)
scale_colour_taylor_b(
...,
alpha = 1,
begin = 0,
end = 1,
direction = 1,
album = "Lover",
values = NULL,
space = "Lab",
na.value = "grey50",
guide = "coloursteps",
aesthetics = "colour"
)
scale_color_taylor_b(
...,
alpha = 1,
begin = 0,
end = 1,
direction = 1,
album = "Lover",
values = NULL,
space = "Lab",
na.value = "grey50",
guide = "coloursteps",
aesthetics = "colour"
)
scale_fill_taylor_b(
...,
alpha = 1,
begin = 0,
end = 1,
direction = 1,
album = "Lover",
values = NULL,
space = "Lab",
na.value = "grey50",
guide = "coloursteps",
aesthetics = "fill"
)
Arguments
... |
Other arguments passed on to |
alpha |
The alpha transparency, a number in [0,1], see argument alpha in
|
begin , end |
The (corrected) hue in |
direction |
Sets the order of colors in the scale. If 1, the default, colors are ordered from darkest to lightest. If -1, the order of colors is reversed. |
album |
A character string indicating the album that should be used for the palette. |
aesthetics |
Character string or vector of character strings listing the
name(s) of the aesthetic(s) that this scale works with. This can be useful,
for example, to apply colour settings to the |
values |
if colours should not be evenly positioned along the gradient
this vector gives the position (between 0 and 1) for each colour in the
|
space |
colour space in which to calculate gradient. Must be "Lab" - other values are deprecated. |
na.value |
Missing values will be replaced with this value. |
guide |
A function used to create a guide or its name. See
|
Value
A color scale for use in plots created with ggplot2::ggplot()
.
Examples
# use taylor_d with discrete data
library(ggplot2)
(p <- ggplot(taylor_album_songs, aes(x = valence, y = energy)) +
geom_point(aes(color = mode_name), size = 2) +
theme_bw())
p + scale_color_taylor_d()
# change scale label
p + scale_fill_taylor_d("Mode of Track")
# select album palette to use, see ?taylor::album_palettes for more details
lover <- subset(taylor_album_songs, album_name == "Lover")
(p <- ggplot(lover, aes(x = valence, y = track_name)) +
geom_col(aes(fill = track_name)) +
theme_minimal())
p + scale_fill_taylor_d(album = "Lover")
p + scale_fill_taylor_d(album = "evermore")
# use taylor_c with continuous data
(p <- ggplot(taylor_album_songs, aes(valence, energy)) +
geom_point(aes(color = danceability)) +
theme_minimal())
p + scale_color_taylor_c(album = "Fearless")
p + scale_color_taylor_c(album = "folklore")
Taylor Swift colour scale for album comparisons
Description
A convenience wrapper for comparing albums with color. In contrast to
scale_fill_taylor_d()
and scale_colour_taylor_d()
,
scale_fill_albums()
and scale_colour_albums()
use a single palette, with
one color per album. Specifically, the album_compare
palette is used to
apply a color associated with each album.
Usage
scale_fill_albums(
...,
aesthetics = "fill",
breaks = waiver(),
limits = force,
na.value = NA
)
scale_colour_albums(
...,
aesthetics = "colour",
breaks = waiver(),
limits = force,
na.value = NA
)
scale_color_albums(
...,
aesthetics = "colour",
breaks = waiver(),
limits = force,
na.value = NA
)
Arguments
... |
Other arguments to be passed to |
aesthetics |
The names of the aesthetics that this scale works with. |
breaks |
One of:
|
limits |
One of:
|
na.value |
If |
Value
A color scale for use in plots created with ggplot2::ggplot()
.
Examples
library(ggplot2)
studio <- subset(taylor_albums, !is.na(metacritic_score))
# create a plot that we want to color or fill by album
ggplot(studio, aes(x = metacritic_score, y = album_name)) +
geom_col(aes(fill = album_name))
# apply a color inspired by each album cover
ggplot(studio, aes(x = metacritic_score, y = album_name)) +
geom_col(aes(fill = album_name)) +
scale_fill_albums()
# even when the axis or levels are rearranged, the correct color is applied
studio$album_name <- factor(studio$album_name, levels = album_levels)
ggplot(studio, aes(x = metacritic_score, y = album_name)) +
geom_col(aes(fill = album_name)) +
scale_fill_albums()
Internal vctrs methods
Description
Internal vctrs methods
Data for Taylor Swift's studio albums and EPs
Description
A data set containing the names of Taylor's official releases, the album type, and release date.
Usage
taylor_albums
Format
A tibble with 17 rows and 5 variables:
-
album_name
: The name of the album.NA
if the song was released separately from one of Taylor's studio albums or EPs. -
ep
: Logical. Is the album a full studio album (FALSE
) or an extended play (TRUE
). -
album_release
: The date the album was released, in the ISO-8601 format (YYYY-MM-DD). -
metacritic_score
: The official album rating from metacritic. -
user_score
: The user rating from metacritic.
Details
This data set includes all official studio albums and EPs with new tracks. This means that compilations or EPs that are a subset of the original albums are not included (e.g., folklore: the escapism chapter, folklore: the sleepless nights chapter, etc.)
Source
https://en.wikipedia.org/wiki/Taylor_Swift_albums_discography
https://www.metacritic.com/person/taylor-swift
Data for Taylor Swift songs
Description
A data set containing lyrics to, and characteristics of, all officially released Taylor Swift songs. This includes albums, EPs, and individually released singles.
Usage
taylor_all_songs
taylor_album_songs
Format
taylor_all_songs
is a tibble with
364 rows and 29 variables.
Each row is one song.
-
album_name
: The name of the album.NA
if the song was released separately from one of Taylor's studio albums or EPs. -
ep
: Logical. Is the album a full studio album (FALSE
) or an extended play (TRUE
). -
album_release
: The date the album was released, in the ISO-8601 format (YYYY-MM-DD). -
track_number
: The order of the song on the album or EP. -
track_name
: The name of the song. -
artist
: The name of the song artist. Usually Taylor Swift, but will show other artists for songs that Taylor is only featured on. -
featuring
: Any artists that are featured on the track. -
bonus_track
: Logical. Is the track only present on a deluxe edition of the album (TRUE
) or is does it also appear on the standard version (FALSE
). -
promotional_release
: The date the song was released as a promotional single, in the ISO-8601 format (YYYY-MM-DD)..NA
if the song was never released as a promotional single. -
single_release
: The date the song was released as an official single, in the ISO-8601 format (YYYY-MM-DD).NA
if the song was never released as an official single. -
track_release
: The date the song was first publicly released. This is the earliest ofalbum_release
,promotional_release
, andsingle_release
.
The next set of variables come from the Spotify API. See the documentation at https://developer.spotify.com/documentation/web-api/reference/ for complete details.
-
danceability
: How suitable a track is for dancing.0.0
= least danceable,1.0
= most danceable. -
energy
: Perceptual measure of intensity and activity.0.0
= least energy,1.0
= most energy. -
key
: The key the track is in. Integer maps to standard Pitch Class notation. -
loudness
: Loudness of track in decibels (dB), averaged across the track. -
mode
: Modality of a track (major/minor).0
= minor,1
= major. -
speechiness
: The presence of spoken words in a track. Values above0.66
indicate that the track is probably made entirely of spoken words. Values between0.33
and0.66
indicate both music and speech. Values less than0.33
indicate the track is probably music or other non-speech tracks. -
acousticness
: Confidence that the track is acoustic.0.0
= low confidence,1.0
= high confidence. -
instrumentalness
: Confidence that the track is an instrumental track (i.e., no vocals).0.0
= low confidence,1.0
= high confidence. -
liveness
: Confidence that the track is a live recording (i.e., an audience is present).0.0
= low confidence,1.0
= high confidence. -
valence
: Musical positiveness conveyed by the track.0.0
= low valence (e.g., sad, depressed, angry),1.0
= high valence (e.g., happy, cheerful, euphoric). -
tempo
: Estimated tempo of the track in beats per minute (BPM). -
time_signature
: Estimated overall time signature. -
duration_ms
: Duration of the track in milliseconds. -
explicit
: Logical. Does the track contain explicit lyrics (TRUE
) or not (FALSE
).
Finally, the last set of variables includes those calculated from the Spotify API data, and a list-column containing song lyrics.
-
key_name
: Corresponds directly to thekey
, but the integer is converted to the key name using Pitch Class notation (e.g.,0
becomesC
). -
mode_name
: Corresponds directly to themode
, but the integer is converted to the mode name (e.g.,0
becomesminor
). -
key_mode
: A combination of thekey_name
andmode_name
variables (e.g.,C minor
). -
lyrics
: A list-column containing the lyrics to each song. The lyrics can be unnested withtidyr::unnest()
(i.e.,tidyr::unnest(taylor_all_songs, lyrics)
). Each element is a data frame with 4 variables. :-
line
: The line number of the song. -
lyric
: The lyric for the given line. -
element
: The element of the song the line and lyric belong to, as defined by https://genius.com/ (e.g.,Verse 1
,Chorus
, etc.). -
element_artist
: The artist performing the element. UsuallyTaylor Swift
, but other artists appear if they are featured on the track (e.g.,HAIM
is featured on no body, no crime).
-
taylor_album_songs
is a tibble containing
the same 29 variables, but only with
240 rows, one for each song from an official studio
album (see Details).
Details
taylor_all_songs
contains all songs in Taylor's discography.
Lyrics come from Genius, and songs characteristics come from the Spotify API.
Some data is known to be missing. The Beautiful Eyes EP is not available on
any streaming service, and therefore has no data from the Spotify API.
Similarly, the song American Girl, a cover of the Tom Petty original, was
released exclusively on Rhapsody (now Napster), and therefore also does not
have data from the Spotify API.
For songs released separately from Taylor's official albums or EPs, album
information is not included. For example, I Don't Wanna Live Forever was
released as part of the Fifty Shades Darker movie soundtrack. However, the
album_name
column for this song is NA
, indicating that it does not appear
on one of Taylor's albums.
Songs are only included one time. For example, if a song appears on both the
standard and deluxe version of an album, there is only one record of the
song in the data set. Similarly, compilations are not included. For example,
following the release of folklore, Taylor released several EPs that were
subsets of the original folklore album (e.g., folklore: the escapism
chapter, folklore: the sleepless nights chapter, etc.). These are not
included. Finally, all bonus tracks (with the exception of voice
memos or similar) are included; however, for consistency, the album name is
always the shortened, common name. For example, the lakes is a bonus track
from folklore (deluxe edition), but the album_name
is listed only as
folklore. The bonus_track
variable can be used to determine which songs
appeared on the standard version of an album vs. a deluxe or platinum
edition.
taylor_album_songs
contains the same information as taylor_all_songs
, but
only for Taylor's official studio albums. Thus, taylor_album_songs
is a
subset of taylor_all_songs
, with EPs and individual singles excluded.
Critically, this subset also only includes versions owned by Taylor when
possible, because we stan artists owning their own work. This means that
although both Fearless and Fearless (Taylor's Version) appear in the full
taylor_all_songs
data, only Fearless (Taylor's Version) appears in this
subset. This also means that this data set will change as additional
re-releases are made available (i.e., Red was replaced with
Red (Taylor's Version) in version 1.0.0).
Source
https://genius.com/artists/Taylor-swift
https://open.spotify.com/artist/06HL4z0CvFAxyc27GXpf02
Convert string to title case
Description
Capitalize the first letter of each word, and convert the remaining string to lower case.
Usage
title_case(string)
Arguments
string |
String to modify. |
Value
A character string with the first letter of each word capitalized.
Examples
title_case("taylor swift")
title_case("Taylor Swift")
title_case("TAYLOR SWIFT")
Translate a friendship bracelet
Description
Receive a friendship bracelet at the Eras Tour but can't figure out what lyrics the bracelet has abbreviated? Now you can find out!
Usage
translate_bracelet(abbr)
Arguments
abbr |
The abbreviated lyrics (i.e., the first letter of each word). |
Value
A character vector with the name of the song and the abbreviated line.
Examples
translate_bracelet("bykmosftvfw")
translate_bracelet("kimbkiagkitbimhotw")