This project demonstrates data cleaning techniques using SQL with the Nashville Housing dataset. The dataset contains information on real estate transactions, including addresses, prices, and property details. Cleaning this dataset ensures consistency, accuracy, and usability for analysis and reporting.

Dataset Dataset Name: Nashville Housing Dataset Source: Kaggle Objective The primary goal is to clean the dataset using SQL to:

Handle missing or null values Standardize data formats Remove duplicates Extract and transform fields Ensure data consistency and accuracy