dunsinagb/NashilleHousing

Nashille Housing Dataset

I used Azure Data Studio to do perform data cleaning process on a Nashville Housing dataset as directed by Alex-The-Analyst.

Data cleansing—also known as data cleaning, data scrubbing, or data rectification—is the process of correcting inaccurate, insufficient, duplicate, or other wrong data in a data set. It entails locating data mistakes and then correcting them by modifying, updating, or eliminating data.

Skills used involved Joins, Substrings, Charindex, Parse, Partition, CTE, amongst others.