---
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:
1. **Music style clustering** based on audio attributes  
2. **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.