Uncovering Market-Insights for Charles & Keith: About Sponsor

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OVERVIEW

DATA PREPARATION

ANALYSIS

PROJECT MANAGEMENT


Initial Data Set


Data Cleaning

Public Housing Data
Step 1: Go to Tables > Stack

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Step 2: Select the following columns, check “Stack by rows” and “Eliminate missing rows”

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Step 3: Filter out and delete rows with missing values

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Step 4: Create “Month” Column

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Step 5: Fill month till the end of table

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Step 6: Final Output

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Step 7: Repeat the following process for all the month’s data Step 8: Go to table > Concatenate > Select all the months

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Step 9: By the end of the data cleaning, we have a total of 177,053 rows Step 10: Merging Private Housing Data with Public Housing Data

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Final consolidated data consist of 241,766 rows

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