https://github.com/anshulkansal121/music_store_analysis_sql
SQL project to analyze online music store data
https://github.com/anshulkansal121/music_store_analysis_sql
beginner-friendly contributions-welcome data-analysis database mysql sql
Last synced: about 2 months ago
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SQL project to analyze online music store data
- Host: GitHub
- URL: https://github.com/anshulkansal121/music_store_analysis_sql
- Owner: anshulkansal121
- Created: 2025-01-01T08:27:02.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2025-01-01T13:05:33.000Z (over 1 year ago)
- Last Synced: 2025-12-03T10:20:38.749Z (7 months ago)
- Topics: beginner-friendly, contributions-welcome, data-analysis, database, mysql, sql
- Homepage:
- Size: 621 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# Music Store Analysis Project : SQL
SQL project to analyze online music store data
This project is for beginners and will teach you how to analyze the music store database. You can examine the dataset with SQL and help the store understand its business growth by answering simple questions.
## Database & Tools
The Project is implemented through MySQL Workbench with SQL queries primarily written in MySQL.
## Schema
## Implementation
1. Design the Database and respective table as per the database schema, make sure to sure to the point datatypes for representing different attributes.
2. Populate the table Either using ```INSERT``` Clause or by ```Import data wizard``` and import data through [CSV's](https://github.com/anshulkansal121/Music_Store_Analysis_SQL/raw/refs/heads/main/music%20store%20data.zip).
3. Now Explore the data by leveraging different techniques like multi table JOINs Statement, Window Functions, CTEs and other useful clauses.
4. You can create your own set of questions or use this [PDF](https://github.com/anshulkansal121/Music_Store_Analysis_SQL/blob/main/Music%20Store%20Analysis-Questions.pdf) for the reference.
## Rules for Contribution
1. Identify real world scenario that need to be answered through this dataset and mold it in a statement.
2. Now write the SQL query.
3. Open a PR.
##### P.S. Abstain from using too simple queries.