Using a Data Dictionary and Highlighting Errors in Dataset

In this video I show you how to create a data dictionary as well as use conditional formatting to automatically highlight any errors in your data.
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A Data Dictionary can be utilized to identify and address errors in a dataset by providing a comprehensive description of the data objects or items in a data model. It helps programmers and others understand the data being collected and described in a standardized way, making it easier to recognize and correct errors. By documenting variable names, measurement units, allowed values, definitions, and other relevant information, a Data Dictionary enables users to identify inconsistencies, missing values, or incorrect data entries, leading to improved data quality and accuracy.

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In my test version I had to put the range (Aa:Ab) in the formula under the conditional format in order to it to work