This repository contains SQL scripts for transaction analysis and customer insights, focusing on data management, transformation, and optimization within MySQL Workbench.
The project aims to analyze transactional data to derive insights into customer behavior and transaction patterns. SQL scripts are used to perform data cleaning, aggregation, and analysis tasks to support informed decision-making.
- sql_scripts/: Contains SQL scripts for various tasks including:
- Data cleaning and transformation
- Aggregation and calculation of key metrics
- Optimization of queries for performance
- Documentation of query logic and assumptions
To use the SQL scripts in this repository:
-
Clone the repository:
-
Connect to MySQL Workbench:
- Open MySQL Workbench and connect to your database server.
- Execute SQL Scripts:
- Navigate to
sql_scripts/directory. - Open and execute SQL scripts using MySQL Workbench to perform data analysis tasks.
- Detailed documentation and comments are provided within each SQL script to explain:
- Purpose and objective of the script
- Data transformations and calculations
- Usage instructions and assumptions
Contributions to improve SQL scripts, optimize queries, or add new analysis functionalities are welcome. Please fork the repository, make your changes, and submit a pull request.
This project is licensed under the MIT License.