Data Cleaning Project

Overview

This project focuses on cleaning raw datasets to prepare them for analysis. The objective is to identify and rectify missing or erroneous data entries, ensuring the dataset is accurate and reliable for further examination.

Key Features

• Data Integrity: Identified and handled missing or incorrect data entries to enhance dataset quality.
• Data Transformation: Utilized SQL queries to transform and organize data, making it more insightful for analysis.
• Preparation for Analysis: Cleaned datasets are structured and ready for subsequent analytical processes.

Technologies Used

• Database Management: MySQL Workbench
• Query Language: SQL