How did music taste change over time?
The aim of this project is to analyse Spotify data to anaylse the change of the music taste over time. For this aim there are three different types of data that are used in this data science project.
The aim of this project is to analyse Spotify data to anaylse the change of the music taste over time. For this aim there are three different types of data that are used in this data science project.
How did Songs in terms of their audio features change?
How might their audio features evolve in the future?
How similar are the songs in terms of their audio features?
Which emotions are conveyed by the songs?
How similar are the songs in terms of their emotions?
What is being sung about?
How did the popularity of genres change?
Are there years with more or less outliers?
The occurrence in the charts serves as a measure of popularity for the evaluation. We therefore assume that the song was among the most popular songs if it achieved a placement in the year-end charts. This assumption serves as the basis for the analysis and evaluation of the data.
In addition, attempts at explanation can be found in the evaluation. These often contain assumptions and are not based on further data if this is not explicitly stated. The explanation only suggests an interpretation of the results.
Proove yourself in our little game. You are presented a wordcloud of the lyrics of a song. Do you know the title and artist?
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