https://github.com/as16082023/nashville-housing-data-cleaning-project

This project involved using MySQL to clean and optimize a Nashville housing dataset, addressing key data quality issues to ensure it was ready for accurate analysis.
https://github.com/as16082023/nashville-housing-data-cleaning-project

data-analysis data-cleaning mysql nashville-housing-data

Last synced: 4 days ago
JSON representation

This project involved using MySQL to clean and optimize a Nashville housing dataset, addressing key data quality issues to ensure it was ready for accurate analysis.

• Host: GitHub
• URL: https://github.com/as16082023/nashville-housing-data-cleaning-project
• Owner: as16082023
• Created: 2024-07-25T18:09:15.000Z (7 months ago)
• Default Branch: main
• Last Pushed: 2024-08-22T18:28:37.000Z (6 months ago)
• Last Synced: 2024-12-23T21:19:04.569Z (about 2 months ago)
• Topics: data-analysis, data-cleaning, mysql, nashville-housing-data
• Homepage:
• Size: 2.41 MB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

Awesome Lists containing this project

README

        
# Nashville-Housing-Data-Cleaning

This project involved using MySQL to clean and prepare a Nashville housing dataset with over 56,000 rows for analysis. The primary focus was on resolving various data quality issues to enhance the dataset's usability. 

Key tasks included:

- Standardizing Date Format: Ensured consistency across the dataset.

- Populating Null Property Addresses: Filled missing data in the PropertyAddress column.

- Breaking Down Address Information: Separated City, State, and House Address into individual columns for both Property and Owner addresses.

- Standardizing Categorical Values: Converted 'Y' and 'N' values to 'Yes' and 'No' in the "Sold as Vacant" field.

- Removing Duplicates: Cleared duplicate entries to ensure data accuracy.

- Deleting Unnecessary Columns:  Removed unnecessary columns to streamline the dataset.

The cleaned and well-structured dataset is now better suited for accurate analysis, supporting informed decision-making.