https://github.com/preetesh21/spotme
This repository is using the web-based API provided by Spotify to retrieve data and then analyse it.
https://github.com/preetesh21/spotme
api data-analysis
Last synced: 7 days ago
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This repository is using the web-based API provided by Spotify to retrieve data and then analyse it.
- Host: GitHub
- URL: https://github.com/preetesh21/spotme
- Owner: Preetesh21
- Created: 2020-04-04T22:14:33.000Z (about 6 years ago)
- Default Branch: master
- Last Pushed: 2020-04-24T18:52:00.000Z (about 6 years ago)
- Last Synced: 2025-11-12T06:03:17.973Z (8 months ago)
- Topics: api, data-analysis
- Language: Jupyter Notebook
- Homepage:
- Size: 8.36 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# Spotify Artists Analysis
The purpose of this project is to analyze and rate the artists based upon their popularity, genres and the extent of the followers which they possess.The work also includes the rating of the top tracks of the past decade based upon the different parameters as provided by the spotify track analyser and also compare the top tracks of the past decade with the ones which currently preside over the top charts in 2020.
For the study, I will access the [Spotify Web API](https://beta.developer.spotify.com/web-api/), which provides data from the Spotify music catalog and can be accesed via standard HTTPS requests to an API endpoint. The Spotify API provides, among other things, track information for each song, including audio statistics such as *danceability*, *instrumentalness* or *temp*. I will focus on retrieving this audio feature information from different playlists of the previous year and also the artists. Each feature measures an aspect of a song. Detailed information on how each feature is calculated can be found in the Spotify API Website.
The project containes the code used for retreival of the data using the API and then the notebook where the data analysis has been performed also the details of the algorithm used to rate the artists and the tracks.
Library used:
```
pip install spotipy
```
Data analysis is a process of inspecting, cleansing, transforming and modeling data with the goal of discovering useful information, informing conclusion and supporting decision-making.