Power BI - Data Cleaning with Power QueryIn Power BI, what is the effect of unpivoting columns on a dataset?AIt transforms multiple columns into attribute-value pairs to normalize data.BIt merges several rows into a single summary column.CIt deletes duplicate columns to reduce dataset size.DIt converts numeric columns into text format for easier analysis.Check Answer
Step-by-Step SolutionSolution:Step 1: Understand unpivotingUnpivoting converts columns into rows, creating attribute-value pairs.Step 2: Effect on datasetThis process normalizes data, making it easier to analyze and visualize.Final Answer:It transforms multiple columns into attribute-value pairs to normalize data. -> Option AQuick Check:Unpivoting reshapes columns into rows [OK]Quick Trick: Unpivoting turns columns into rows for better data structure [OK]Common Mistakes:Thinking unpivoting merges rows instead of columnsAssuming unpivoting deletes dataConfusing unpivoting with pivoting
Master "Data Cleaning with Power Query" in Power BI9 interactive learning modes - each teaches the same concept differentlyLearnWhyDeepSheetTryChallengeScenarioRecallDash
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