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You have a quarterly sales data set that contains a date field, with each business day written as a value for orders placed on that day. You need to find the days on which sales did not occur, and you do not have every day of the time period in your data. What should you introduce into your model?Select an answer:Add a date table joined to the data set. The join should provide all dates in the time period and the associated records.Create calculations that look for dates that don't exist, and then provide the next date needed.Inform the leadership that this report is not possible.Open the data set and add records that represent the dates that are not present in the data set.

Question

You have a quarterly sales data set that contains a date field, with each business day written as a value for orders placed on that day. You need to find the days on which sales did not occur, and you do not have every day of the time period in your data. What should you introduce into your model?Select an answer:Add a date table joined to the data set. The join should provide all dates in the time period and the associated records.Create calculations that look for dates that don't exist, and then provide the next date needed.Inform the leadership that this report is not possible.Open the data set and add records that represent the dates that are not present in the data set.

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Solution

The best approach would be to add a date table joined to the data set. The join should provide all dates in the time period and the associated records. This way, you can easily identify the dates on which no sales were made.

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