Week 3 group project
Music streaming is part of our daily life, yet few understand what makes a song truly popular. While all songs in the Spotify Top 50 are successful, there is still significant variation in popularity scores and chart positions. By analyzing the Top 50 songs of 2019, we aim to identify which musical characteristics separate the biggest hits (positions 1-20) from moderate hits (positions 21-50). We focus on features like energy, danceability, valence, loudness, and collaboration to uncover patterns that could help producers optimize songs for maximum hit potential.
- Top 20 songs have a more positive mood (valence) than lower-ranked songs.
- Top 20 songs have higher energy and danceability than positions 21-50.
- Certain genres dominate the Top 10, while others appear mostly in lower positions.
- Top 20 songs are louder than songs in positions 21-50.
- Songs with lyrics rank higher than purely instrumental tracks.
- Collaborative songs rank higher than single-artist releases.
We’re Christos, Pati, Pedro, and Carmelina – music lovers and data enthusiasts on a mission to decode Spotify hits. We analyze trends and musical features like energy, danceability, valence, and loudness to uncover what makes songs popular. Our goal is to make music analytics accessible and insightful for artists, producers, and fans, turning data into stories that explain the hits.
Fun fact 😆: Every song has a story, and we’re here to tell it—numbers included!