Using a Data Dictionary and Highlighting Errors in Dataset

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  • Опубликовано: 10 дек 2024

Комментарии • 2

  • @ВиталийОвчаренко-т7й
    @ВиталийОвчаренко-т7й 9 месяцев назад

    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.

  • @m.debaser4
    @m.debaser4 9 месяцев назад

    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