spotify_52_shuffled

This dataset contains a sample of 52 tracks from Spotify, focusing on two genres: deep-house and metal. It includes metadata about the tracks, the artists, and a shuffled indicator of whether each track is considered popular.

datasets

Datasets and wrapper functions for tidyverse-friendly introductory linear regression, used in "Statistical Inference via Data Science: A ModernDive into R and the Tidyverse" available at <https://moderndive.com/>.

Albert Y Kim

moderndive

Tidyverse-Friendly Introductory Linear Regression

Albert Y. Kim

Chester Ismay

Andrew Bray

Delaney Moran

Evgeni Chasnovski

Will Hopper

Benjamin S. Baumer

Marium Tapal

Wayne Ndlovu

Catherine Peppers

Annah Mutaya

Anushree Goswami

Ziyue Yang

Clara Li

Caroline McKenna

Catherine Park

Abbie Benfield

Georgia Gans

Kacey Jean-Jacques

Swaha Bhattacharya

Vivian Almaraz

Elle Jo Whalen

Jacqueline Chen

Michelle Flesaker

Irene Foster

Aushanae Haller

Benjamin Bruncati

Quinn White

Tianshu Zhang

Katelyn Diaz

Rose Porta

Renee Wu

Arris Moise

Kate Phan

Grace Hartley

Silas Weden

Emma Vejcik

Nikki Schuldt

Tess Goldmann

Hongtong Lin

Alejandra Munoz

Elina Gordon-Halpern

Haley Schmidt

spotify_52_shuffled function

A data frame with 52 rows and 6 columns:<dl>
<dt>track_id</dt>
<dd><code>character</code>. Spotify ID for the track. See: <a href="https://developer.spotify.com/documentation/web-api/">https://developer.spotify.com/documentation/web-api/</a></dd><dt>track_genre</dt>
<dd><code>character</code>. Genre of the track, either "deep-house" or "metal".</dd><dt>artists</dt>
<dd><code>character</code>. Names of the artists associated with the track.</dd><dt>track_name</dt>
<dd><code>character</code>. Name of the track.</dd><dt>popularity</dt>
<dd><code>numeric</code>. Popularity score of the track (0-100). See: <a href="https://developer.spotify.com/documentation/web-api/reference/#/operations/get-track">https://developer.spotify.com/documentation/web-api/reference/#/operations/get-track</a></dd><dt>popular_or_not</dt>
<dd><code>character</code>. A shuffled version of the column of the same name in the <code>spotify_52_original</code> data frame.</dd>
</dl>

Format

Spotify 52-Track Sample Dataset with 'popular or not' shuffled — spotify_52_shuffled

A data frame with 52 rows and 6 columns:<dl>
<dt>track_id</dt>
<dd><code>character</code>. Spotify ID for the track. See: <a href='https://developer.spotify.com/documentation/web-api/'>https://developer.spotify.com/documentation/web-api/</a></dd>

<dt>track_genre</dt>
<dd><code>character</code>. Genre of the track, either "deep-house" or "metal".</dd>

<dt>artists</dt>
<dd><code>character</code>. Names of the artists associated with the track.</dd>

<dt>track_name</dt>
<dd><code>character</code>. Name of the track.</dd>

<dt>popularity</dt>
<dd><code>numeric</code>. Popularity score of the track (0-100). See: <a href='https://developer.spotify.com/documentation/web-api/reference/#/operations/get-track'>https://developer.spotify.com/documentation/web-api/reference/#/operations/get-track</a></dd>

<dt>popular_or_not</dt>
<dd><code>character</code>. A shuffled version of the column of the same name in the <code>spotify_52_original</code> data frame.</dd>


</dl>

Spotify 52-Track Sample Dataset with 'popular or not' shuffled

spotify_52_shuffled: Spotify 52-Track Sample Dataset with 'popular or not' shuffled

Description

Usage

Arguments

Format

Examples