- Team Leader: Hayley Jellison @hayleyjellison
- Git Master: Chris Nguyen @c-l-nguyen
- Data Analyst: Josefina Blanchard @josefina-blanchard
- Data Analyst/Powerpoint Master: Amy Dach @amydach
Our team plans to track music data from the Billboard Hot 100 songs (singles) list from 1958-2017. We aim to uncover what genre of songs were most popular by decade and how they have changed as well as how popularity of songs with various qualities, such as acousticness or "danceability" scores based on analysis from Spotify, have changed over time. We also do an in-depth analysis of song qualities using data collected from the Spotify API from 2000-2017.
A few questions we will consider in our analysis:
- What genres were the most popular in the Billboard Hot 100 List? How has that changed over the years? Decades?
- How do we define "popularity" of a song?
- How has explicit content changed over time?
- Which artists appear the most in the list?
- Which song(s) appear the most in the list?
- How have certain qualities of the song (such as tempo, beat, "danceability") changed over the years within the Hot 100 list?
- Are there any qualities that are distinct about the most popular songs within a decade?
- Billboard Hot weekly charts from data.world
- Billboard Hot-100 Songs 2000-2018 w/ Spotify Data + Lyrics from data.world
- Spotipy - a thin client library for the Spotify Web API