https://github.com/patricialjohnson/sql-database-analysis

In this analysis, I developed SQL queries for the Chinook Database, which contains information about a digital music store. The goal was to assist the Chinook team in better understanding their media inventory, customers, employees, and invoice data.
https://github.com/patricialjohnson/sql-database-analysis

business-analytics chinook-database data-analytics data-visualization database sql sqlite

Last synced: 2 months ago
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In this analysis, I developed SQL queries for the Chinook Database, which contains information about a digital music store. The goal was to assist the Chinook team in better understanding their media inventory, customers, employees, and invoice data.

• Host: GitHub
• URL: https://github.com/patricialjohnson/sql-database-analysis
• Owner: PatriciaLJohnson
• Created: 2023-12-05T22:02:49.000Z (almost 2 years ago)
• Default Branch: main
• Last Pushed: 2025-07-14T16:59:41.000Z (3 months ago)
• Last Synced: 2025-07-23T03:21:32.781Z (3 months ago)
• Topics: business-analytics, chinook-database, data-analytics, data-visualization, database, sql, sqlite
• Homepage: https://www.kaggle.com/datasets/nancyalaswad90/chinook-sample-database
• Size: 535 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# SQL Database Analysis

In this analysis, I developed SQL queries for the Chinook Database, which contains information about a digital music store. The goal was to assist the Chinook team in better understanding their media inventory, customers, employees, and invoice data.

I used SQLite to create a series of queries exploring various aspects of the database. Additionally, I generated charts and visualizations using Microsoft Excel and PowerPoint to present the findings clearly.

Analysis Overview

The Chinook Database simulates a digital music store environment. This analysis involved writing SQL queries to extract insights on:

Media inventory (albums, tracks, genres)

Customer demographics and purchasing behavior

Employee roles and sales performance

Invoice and payment data analysis

Technologies Used

SQLite (for querying the Chinook Database)

Microsoft Excel (for data visualization)

Microsoft PowerPoint (for presenting charts and summaries)

How to Run the Queries

Download the Chinook Database file (Chinook_Sqlite.sqlite or similar).

Open the database with an SQLite client (such as DB Browser for SQLite).

Open the SQL query files included in this repository.

Execute the queries to see results.

Use the outputs to generate charts or reports as needed.

Sample Queries

Here are examples of the types of queries written:

Retrieve total sales by customer

List top-selling tracks and albums

Analyze sales performance by employee

Explore invoice totals over time

Visualizations

Visual representations of the query results were created in Microsoft Excel and compiled into PowerPoint slides to illustrate trends and key findings.

Repository Structure

/SQL-Database-Analysis

│

├── /queries

│   ├── customer_sales.sql

│   ├── top_tracks.sql

│   └── employee_performance.sql

│

├── /visualizations

│   ├── sales_charts.xlsx

│   └── presentation.pptx

│

└── README.md