Nashville Housing Data Cleaning Project

This project showcases data cleaning techniques using R on a dataset of housing sales in Nashville from 2013–2016.

📄 Project Summary

I used R and packages like tidyverse, janitor, and lubridate to clean, transform, and prepare the dataset for analysis. The steps included:

• Cleaning and standardizing column names
• Handling missing values
• Formatting date fields
• Standardizing text fields
• Outlier detection and removal

🔗 View Project on RPubs

Click here to view the full project

📁 Files Included

• nashville_cleaning.Rmd: Source code for the project
• nashville_cleaning.html: Rendered HTML file
• Nashville_housing_data_2013_2016.csv: The dataset