Analyze a dataset on kaggle that inlcudes information on songs/tracks (100 per year) from Top Hit playlists from 2010 to 2022 created by Spotify. We can evaluate each song by features such as danceability, energy, loudness, mode, tempo, etc. I would like to see how these features change year to year.
Cleaning the data
Sorting the top 200 artists
Identifying the common songs and artists between the two sets
Analyzing the songs for what makes them so popular
Presentation
Similar to proposals, but note additional sections:
- Objective (research question)
- Data that was used: how obtained, how processed, integrated, and validated
- What models or algorithms were used
- Results: A description of the results
- Primary issues encountered during the project
- Future work: ideas generated, improvements that would make sense, etc
- Org chart: rough timeline and responsibilities for each member