Power BI - Data Cleaning with Power QueryWhat does unpivoting columns in Power BI do?AIt merges multiple tables into one table.BIt filters rows based on column values.CIt creates new calculated columns based on existing data.DIt converts multiple columns into rows to simplify analysis.Check Answer
Step-by-Step SolutionSolution:Step 1: Understand the purpose of unpivotingUnpivoting changes the data layout by turning columns into rows, making repeated measures easier to analyze.Step 2: Compare with other operationsMerging tables combines tables, calculated columns add new data, and filtering removes rows, which are different from unpivoting.Final Answer:It converts multiple columns into rows to simplify analysis. -> Option DQuick Check:Unpivoting = Columns to rows [OK]Quick Trick: Unpivoting flips columns into rows for easier data analysis [OK]Common Mistakes:Confusing unpivoting with merging tablesThinking unpivoting creates new columnsAssuming unpivoting filters data
Master "Data Cleaning with Power Query" in Power BI9 interactive learning modes - each teaches the same concept differentlyLearnWhyDeepSheetTryChallengeScenarioRecallDash
More Power BI Quizzes Basic Visualizations - Why choosing the right visual matters - Quiz 6medium Basic Visualizations - Bar and column charts - Quiz 1easy Basic Visualizations - Map visualizations - Quiz 11easy Data Cleaning with Power Query - Pivoting columns - Quiz 10hard Data Cleaning with Power Query - Handling null and blank values - Quiz 4medium Formatting and Design - Visual formatting options - Quiz 15hard Formatting and Design - Why design improves report clarity - Quiz 2easy Getting Data - Multiple data sources in one report - Quiz 4medium Getting Data - OData and REST API connections - Quiz 1easy Power Query Editor - Sorting data - Quiz 4medium