You are cleaning a 'Sales' table in the Power Query Editor. The 'DiscountPercentage' column, which should contain numerical values, has a data type of 'Any'. It contains numbers, null values, and the text string "N/A". Your goal is to convert this column to a 'Decimal Number' type for calculations. You must replace both the null values and the "N/A" strings with 0 and ensure no rows are lost. Which sequence of steps is the most effective way to achieve this?
Filter the column to exclude "N/A" and null values. Then, change the column data type to 'Decimal Number'.
Use the 'Fill Down' transformation to handle the null values. Then, use 'Replace Values' to replace "N/A" with 0.
Change the column data type to 'Decimal Number'. Then, use the 'Remove Errors' feature to eliminate any rows that failed the conversion.
Use 'Replace Values' to replace "N/A" with 0. Use 'Replace Values' again to replace null with 0. Finally, change the column data type to 'Decimal Number'.
The correct approach is to first use the 'Replace Values' transformation to substitute the text string "N/A" with 0. Then, use 'Replace Values' again to substitute the null values with 0. After these replacements, the column only contains numerical data, so you can safely change the data type to 'Decimal Number' without introducing errors. Changing the data type to a number before replacing the "N/A" text would convert those text values into errors, which would then need to be handled. Replacing the values first is a more direct and cleaner method. The 'Remove Errors' option would result in data loss, which the requirement explicitly forbids. The 'Fill' command is used for replacing nulls with the value from the preceding or succeeding row and is not appropriate for this scenario.
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