NashVilleHousing_

This project required an intensive data cleaning process. The client expected the data to be such cleaned that in future any analysis could be performed on it easily and effectively. For this purpose I used my extensive data cleaning checklist. The changes made includes:

The data/information are being provided by taking explicit approval from the client

1. Standardizing Data: Sale Date was converted from Date Time format to Date format

                 UPDATE PortfolioProject..NashvilleHousing 
                 SET    SaleDate = CAST(SaleDate AS Date) 
   
                 SELECT
                   *
                 FROM
                   PortfolioProject..NashvilleHousing
   
                 -- must use 'ALTER' statement to modify the table; 'UPDATE' is used for only updating data into the table
   
                 ALTER TABLE PortfolioProject..NashvilleHousing
                 ALTER COLUMN SaleDate Date
   

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2. NULLS in property Address were populated with the correct input using advance Self-Joins UPDATE a SET a.PropertyAddress = COALESCE(a.PropertyAddress, b.PropertyAddress) -- can use ISNULL() as well FROM PortfolioProject..NashvilleHousing a JOIN PortfolioProject..NashvilleHousing b ON a.ParcelID = b.ParcelID AND a.[UniqueID ] <> b.[UniqueID ]

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3. Breaking Property and Owner Addresses fields into Address, City and State columns for easier analysis

                 -- Accidentally modifeied PropertyAddress table without extracting city from it
                 UPDATE
                   PortfolioProject..NashvilleHousing
                 SET
                   PropertyAddress = SUBSTRING(PropertyAddress,1, CHARINDEX(',',PropertyAddress)-1) 
   
   
                 --Reuploaded the Original dataset to extract PropertyCity from there
                 -- *Nulls of PropertyAddress is removed from this dataset using above method
   
                 --SEPERATING COLUMNS FOR Address and City
                 ALTER TABLE 
                     PortfolioProject..NashvilleHousing
                 ADD PropertyCity varchar(255)
   
   
                 -- Populating PropertyCity 
                 UPDATE 
                   a
                 SET 
                   a.PropertyCity = SUBSTRING(b.PropertyAddress, CHARINDEX(',',b.PropertyAddress)+1, LEN(b.PropertyAddress))
                 FROM
                   PortfolioProject..NashvilleHousing a
                   JOIN 
                   [PortfolioProject].[dbo].[OriginalNashvilleHousing] b
                   ON 
                     a.[UniqueID ] = b.[UniqueID ]
   
                 SELECT
                   *
                 FROM
                   PortfolioProject..NashvilleHousing
   
                 -- PropertyAddress Breaking
                 -- PARSENAME looks for '.' 'period' and breaks string into column 
   
                 -- It could have been done using SUBSTRING but would have been lengthy
                 ALTER TABLE
                   PortfolioProject..NashvilleHousing
                 ADD OwnerSplitAddress NVARCHAR(255), 
                   OwnerCity NVARCHAR(255), 
                   OwnerState NVARCHAR(255)
   
   
                 UPDATE
                   PortfolioProject..NashvilleHousing
                 SET
                   OwnerSplitAddress = PARSENAME(REPLACE(OwnerAddress,',','.'),3),
                   OwnerCity		  = PARSENAME(REPLACE(OwnerAddress,',','.'),2),
                   OwnerState		  = PARSENAME(REPLACE(OwnerAddress,',','.'),1)
   
                 ALTER TABLE 
                   PortfolioProject..NashvilleHousing
                 DROP COLUMN OwnerAddress
   

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4. Standardized 'Yes, No, Y and N' inputs in 'Sold as Vacant' column to only 'Yes' and 'No'

                 UPDATE
                   PortfolioProject..NashvilleHousing
                 SET
                   SoldAsVacant =
                   (CASE
                     WHEN 
                       SoldAsVacant = 'Y' THEN 'Yes' 
                     WHEN
                       SoldAsVacant = 'N' THEN 'No'
                     ELSE SoldAsVacant
                   END )
   

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5. Removed Duplicates

                     WITH RowNumCTE AS(
                     Select *, 
                       ROW_NUMBER() OVER (Partition By ParcelID,     --Assuming that UniqueID is not available
                                       PropertyAddress,
                                       SaleDate,
                                       LegalReference,
                                       OwnerName
                                 Order By
                                       ParcelID) AS RowNumb -- This expression starts giving row number to each row in the table 
                                       --but restarts the number if given data is not same
   
   
                     FROM
                       PortfolioProject..NashvilleHousing
                     --WHERE
                     --	RowNumb > 1 -- Cant use Where in query where Window function is used such as OVER. Hence, using CTE
                     )
                     --SELECT *
                     --FROM
                     --	RowNumCTE
                     --Where RowNumb > 1
   
                     DELETE 
                     FROM
                       RowNumCTE
                     Where RowNumb > 1
   

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**At the end of this ETL and Data wrangling process the client got extremely neat and 'ready to be analyzed' or 'stored for future use' data **