metadata
license: mit
task_categories:
- feature-extraction
tags:
- music
- spotify
pretty_name: Spotify Analysis Dataset
size_categories:
- 100M<n<1B
Spotify Analysis Dataset
This dataset contains the cleaned, processed, and intermediate data files used in the Music Style and Popularity Analysis on Spotify project. It includes raw audio feature tables, clustering outputs, classification-ready datasets, and the SQLite database used for K-Means clustering.
The dataset supports two main tasks:
- Music style clustering based on audio attributes
- Popularity prediction using engineered features and contextual metadata
Files include:Spotify_Dataset_V3.csv, spotify_cleaned_data.csv, kmeans_clustered_data.csv, spotify_database.db, spotify_data_V3.csv, spotify_dataset.csv, spotify_dataset_sample.csv, data_with_famous_artist.csv.
This dataset is intended for academic analysis, machine learning experiments, and reproducibility of the associated project.