https://github.com/kamaljangir1/music_store_analysis

Analyzed music store database to identify top spenders, popular genres, and inform business decisions using SQL queries and reports.
https://github.com/kamaljangir1/music_store_analysis

database mysql powerpoint

Last synced: 29 days ago
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Analyzed music store database to identify top spenders, popular genres, and inform business decisions using SQL queries and reports.

• Host: GitHub
• URL: https://github.com/kamaljangir1/music_store_analysis
• Owner: kamaljangir1
• Created: 2024-06-13T09:40:29.000Z (8 months ago)
• Default Branch: main
• Last Pushed: 2024-06-27T05:49:30.000Z (7 months ago)
• Last Synced: 2024-11-09T14:38:43.382Z (3 months ago)
• Topics: database, mysql, powerpoint
• Homepage:
• Size: 2.19 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Online Music Store Analysis🎵

Music Connect the world

## Project Description

The "Online Music Store Analysis" project aims to analyze various aspects of an online music store's operations, including sales, customer behavior, and inventory management. The project leverages a rich dataset that includes information about employees, customers, invoices, playlists, playlist tracks, artists, albums, tracks, media types, and genres. The goal is to extract meaningful insights that can help improve the store's performance and customer satisfaction.

## Data Sources

The data used in this project is structured across several tables:

- **Employees**: Information about the store's employees

- **Customer**: Details about the customers

- **Invoice**: Sales transaction records

- **Playlist**: Information about user-created playlists

- **Playlist_Track**: Association between playlists and tracks

- **Artist**: Details about the artists

- **Album**: Information about the albums

- **Track**: Details about the individual tracks

- **Media Types**: Types of media formats

- **Genre**: Music genres

## Database Schema

The database schema includes the following tables:

- **Employees**

- **Customer**

- **Invoice**

- **Playlist**

- **Playlist_Track**

- **Artist**

- **Album**

- **Track**

- **Media Types**

- **Genre**

## Technologies Used

- **MySQL**: For Analyse the Data

- **Power Point**: For Presentation

## Insights

- 📋 Most Invoices by Employee: Andrew Adams, Senior Employee, USA

- 🎸 Best Selling Artist: AC/DC

- 💿 Best Selling Album: BIG ONES

- 📝 Best Selling Composer: Alanis Morissette & Glenn Ballard

- 🎵 Most Favorite Genre: ROCK

- 🏆 Top Customer: František Wichterlová, Czech Republic, 144.54

- 🏴 Top Country by Invoices: USA

- 🌆 Top City by Total Amount: PRAQUE, 273.24

- 💰 Best Selling Album by Revenue: BIG ONES

- 💵 Best Selling Composer by Revenue: Alanis Morissette & Glenn Ballard

## Contact

If you have any questions or suggestions, feel free to contact me at:

- **Email**: [email protected]