You are a data analyst cleaning sales data in the Power Query Editor. You have a column named 'OrderCode' that contains concatenated values in the format 'Region-ProductID-Date', such as 'NA-P45821-20250115'. You need to create a new column that contains only the 'ProductID' (e.g., 'P45821') from the middle of the string. Which of the following transformations is the most direct and appropriate method to accomplish this task?
Use the 'Split Column by Delimiter' transformation.
Use the 'Replace Values' transformation to remove the region and date codes.
Use the 'Conditional Column' feature to create logic that extracts the text.
Use the 'Unpivot Columns' transformation on the 'OrderCode' column.
The correct answer is to use the 'Split Column by Delimiter' transformation. This feature is specifically designed to parse text that is separated by a consistent character. By selecting the hyphen (-) as the delimiter, Power Query will automatically separate the 'OrderCode' column into three new columns for Region, ProductID, and Date. You can then keep the ProductID column and remove the others.
A 'Conditional Column' is incorrect because it is used for creating new values based on 'if-then-else' logical conditions, not for extracting substrings based on a delimiter.
'Replace Values' is inefficient for this scenario because the region and date codes are likely to change from row to row, which would require an impractical number of individual replacement steps.
'Unpivot Columns' is incorrect as it is a structural transformation used to convert data from a wide format to a long format; it is not used for text manipulation within a column.
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