SQL_Portfolio_DataCleaning

Data Cleaning in SQL

Number of Rows 56,477

Initial Data

Standardize Date Format

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After

Populate Property Address Data

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After

Breaking out PropertyAddress into Individual Columns

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After

Breaking out OwnerAddress into Individual Columns

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After

Changing Y, N, Yes & No to a single format: Yes and No

“Sold as Vacant” column contained 4 types of data- Yes, Y, No & N. I kept the Yes & No as it is and looked for shortforms Y & N, then converted it into Yes & No accordingly.

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After