We were interested in this field because we all enjoy music and it is a part of our daily lives. We believe this will have a large dataset to have our questions.
What other examples of data driven project have you found related to this domain (share at least 3)?
https://www.kaggle.com/code/aeryan/spotify-music-analysis - The data contains numeric metrics generated by spotify which measure the songs' danceability, mood, liveness, etc.
https://www.kaggle.com/code/arpita28/analysis-of-spotify-trends - Analysis of Spotify trends based off of the top 50 songs of 2019
https://www.kaggle.com/code/tanersekmen/spotify-50-song-analysis - Another .csv file that analyzes Spotify trends based off of the top 50 songs of 2019
- What was the top genre that was included within the charts?
- How many Non Americans were included in the charts?
- Which artist has had the most top 10 hits?
- Are songs that are more "danceable" more likely to chart?
- Will songs that are longer in duration more likely to top the chart?
https://www.kaggle.com/datasets/leonardopena/top50spotify2019
- We downladed these data files from Kaggle through a WEB URL.
- The data collected or generated was collected by spotify and made into a Kraggle file by LEONARDO HENRIQUE. They collected data about the spotify charts. It gives insight into the track name, artist name, genre, beats per minute, etc.
- There are 50 observations for this data set.
- There are 14 features for this data set.
- We can answer the questions regarding genre and track artist + name.
https://www.kaggle.com/code/aeryan/spotify-music-analysis
- We downladed these data files from Kaggle through a WEB URL.
- The data collected or generated was collected by spotify and made into a Kraggle file by AERYAN. They collected data about what type of songs entered the spotify charts. It gives insight into the duration of the song, the danceablility, key, energy, etc.
- There are 2016 observations for this data set.
- There are 17 features for this data set.
- We can answer the questions regarding danceability and duration.
https://www.kaggle.com/datasets/nadintamer/top-spotify-tracks-of-2018
- We downladed these data files from Kaggle through a WEB URL.
- The data collected or generated was collected by spotify and made into a Kraggle file by NADIN TAMER. They collected data about the songs that charted in 2018. It gives insight into the duration of the song, the danceablility, key, energy, as well as the artist and the name of the song.
- There are 100 observations for this data set.
- There are 16 features for this data set.
- We can answer the questions regarding danceability and duration also the name and artist.
https://www.kaggle.com/datasets/leonardopena/top-50-spotify-songs-by-each-country
-We downloaded this .csv dataset through Kaggle
- The data was collected by LEONARDO HENRIQUE. They collected data from 2019 around Christmas time from the top charts around the world.
- There are 1000 observations in this data set.
- There are 17 features in this data set.
- We can use this dataset to diversify the data we look at to compare songs around not just in the states but also around the world.