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assessment
question 1 of 10
data scientists validate their data after cleaning it to
__________.
ensure that their finished product contains quality, usable data
categorize the data by the way in which it was collected
make recommendations based on their findings
none of the above
Data cleaning aims to remove errors, duplicates, and incorrect formats. Validation after cleaning checks if the data is accurate, consistent, and fit for use. Categorizing by collection method is part of data organization (not validation). Making recommendations is a later step (after analysis). So, validating after cleaning is to ensure quality usable data.
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Ensure that their finished product contains quality, usable data.