Completeness_Assessment
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Use the data profiling tool to check whether row counts match reality, and to perform other common-sense checks on the data. Any segmentation of your data (by year, by geography, by complaint type, etc.) can be used to look for missing data.
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Fill in tables, adding rows as necessary.
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Data table# rows in table# entities in real world, estimated without reference to the data tableList of segmentations (e.g, by zip code, by year, by complaint type)
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SegmentationData TableExpected distribution (common sense)distribution in data (use profiling tool, gis, etc.)Root cause of any discrepancyProposed Action
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Contact the author at sfsinger@campaignscientific.com, @sfsinger, 267-414-3119. Guide available for download at bit.ly/DQGuide. Submit feedback at bit.ly/SingleStepsFeedback
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Sheet1