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--- |
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license: mit |
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task_categories: |
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- feature-extraction |
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tags: |
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- music |
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- spotify |
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pretty_name: Spotify Analysis Dataset |
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size_categories: |
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- 100M<n<1B |
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--- |
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# Spotify Analysis Dataset |
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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. |
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The dataset supports two main tasks: |
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1. **Music style clustering** based on audio attributes |
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2. **Popularity prediction** using engineered features and contextual metadata |
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Files include: |
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`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`. |
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This dataset is intended for academic analysis, machine learning experiments, and reproducibility of the associated project. |
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