Business Intelligence with Microsoft Power BI - with Material - Replacing Errors and Values

The video tutorial covers various methods to handle errors in Power Query within Power BI. It demonstrates how to remove, keep, and replace errors in data columns, as well as advanced techniques for error analysis. Additionally, it explains how to replace specific values in data, providing practical examples and step-by-step instructions.

What happens to the records when you remove errors from a column in Power Query?

• The records are corrected automatically.

• The entire record containing the error is deleted.

• Only the error value is removed, keeping the rest of the record.

• The error is highlighted but not removed.

How can you focus only on the error values in a dataset?

• By using the 'Remove Errors' option.

• By using the 'Replace Values' option.

• By using the 'Keep Errors' option.

• By using the 'Sort Descending' option.

Which function is used to replace error values with a specific value in Power Query?

• Keep Errors

• Remove Errors

• Replace Values

• Replace Errors

What does the 'try' function do when used in a custom column?

• It deletes all error records.

• It automatically corrects errors.

• It highlights errors in red.

• It creates a new column indicating error presence.

What information can be expanded from a custom column created with the 'try' function?

• The original data type of the column.

• The error message and details.

• The number of errors in the dataset.

• The total number of records.

How can you replace a specific value in a dataset with another value?

• By using the 'Replace Values' option.

• By using the 'Keep Errors' option.

• By using the 'Remove Errors' option.

• By using the 'Sort Ascending' option.

What is the outcome when you replace the value '33' with '10' in a dataset?

• The dataset is sorted in ascending order.

• Only the first occurrence of '33' is changed to '10'.

• All values become '10'.

• All occurrences of '33' are changed to '10'.