Data Cleaning Project Project Overview: This project focuses on cleaning and preparing data using SQL.

Goals: The primary goals of this project are:

Identify and handle missing values. Remove duplicates. Standardize data formats. Correct inconsistent or erroneous data. Validate data integrity. Dataset Description Source: https://github.com/AlexTheAnalyst/MySQL-YouTube-Series/blob/main/layoffs.csv Format: .csv Size: 166 kb

Setup Instructions To run the scripts in this project, follow these steps:

Ensure you have access to a SQL database management system (DBMS) such as MySQL, PostgreSQL, or SQLite. Download or clone this repository to your local machine. Import the dataset into your SQL database. Open your SQL client and connect it to your database. Execute the SQL scripts saved above.

README.md: This README file providing an overview of the project, setup instructions, and other relevant information.

Usage: Execute the SQL scripts provided in this repository to clean the dataset and perform any necessary data preparation tasks. You can also modify the scripts as needed to suit your specific requirements.

Contributions: Contributions to this project are welcome. If you find any issues or have suggestions for improvements, please feel free to open an issue or submit a pull request.

Contact For questions or inquiries about this project, please contact me.