This website explores the "Top Spotify songs from 2010-2019 - BY YEAR" dataset provided by Kaggle. It breaks down each song into different characteristics based on Billboard. The visualizations provide insight on music trends and patterns from 2010 to 2019. To use this site, you can interact with the stream chart by hovering over areas to discover what genre they represent, or by filtering particular genres by clicking on the buttons on the right side. This will also filter out songs of that genre in the scatterplots. Each circle in the scatterplot represents a song. Hovering over a circle will show more information on that particular song, as well as where it is on the other plots. Each scatterplot also has a trendline to show the averages throughout the years. Hovering over the trendline will also display a tooltip with more information.
Genre: The category of the song based on musical form and style
Tempo: Measures the speed of the song in beats per minute
Energy: Measures how energetic the song is- the higher the value, the more energy it has
Danceability: Measures how danceable the song is- the higher the value, the easier it is to dance to the song
Volume: Measures how loud the song is in decibels
Liveness: Measures how likely the song is a live recording- the higher the value, the more likely
Valence: Measures the mood of the the song- the higher the value, the more positive it is
Duration: Measures how long the song is in seconds
Acousticness: Measures how acoustic the song is- the higher the value, the more acoustic it is
Speechiness: Measures how word-y the song is- the higher the value, the more spoken words it has
Because there is a lot of data being shown in all of the visualizations, users can explore different trends with each given trait of a song. Here are some of the findings we discovered:
Through the visualization we can see a large majority of Spotify's Top Songs have been composed of the dance pop genre. Even so, generally most of the top songs of Spotify were some sort of "pop" genre or "hip pop".
We can also see that the energy of these top songs are slowly declining throughout the years. Of course, while there is a large range, the averages are decreasing. This could also tie into the declining tempos. While it isn't as apparent as the energy trendline, by using the tooltip, we can see that the BPM throughout the years increases slightly at 2015 and then proceeds to decrease. This is interesting because the danceability of songs have increased through the years, as the tempo and energy have decreased.
Another more immediate trend we can see is that the acousticness of songs have increased, as well as a decrease in song duration.