Execution of data cleaning procedures in SQL, aiming to manipulate a dataset coming from the housing industry and transform it to a form suitable for further analysis.
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Updated
Mar 23, 2023
Execution of data cleaning procedures in SQL, aiming to manipulate a dataset coming from the housing industry and transform it to a form suitable for further analysis.
Insightful visualizations and feature engineering uncover how property age, land use, and structure value shape Nashville’s housing market.
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.
Data Analysis Projects of Covid19 and Nashville Housing, using SQL, EXCEL, Tablau.
A data cleaning project using Microsoft SQL Server to standardize 56,000+ rows of Nashville Housing data. It demonstrates advanced T-SQL techniques (including self-joins, string parsing, and CTEs) to transform messy, unformatted records into a structured dataset ready for analysis.
SQL-based data cleaning project for Nashville housing dataset, standardizing dates, addresses, and removing duplicates.
Data cleaning project using Nashville, Tennessee Housing data
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