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This project aims to perform in-depth data analysis of a fictional music store using Structured Query Language (SQL). The dataset is modeled after a music retail environment, encompassing entities such as customers, employees, artists, albums, tracks, genres, invoices, and playlists.
This project aims to perform in-depth data analysis of a fictional music store using Structured Query Language (SQL). The dataset is modeled after a music retail environment, encompassing entities such as customers, employees, artists, albums, tracks, genres, invoices, and playlists.