Easy Tech TutsHow to Clean Data in Power BI (Power Query Essentials) Easily 2026
By Impran M N
Clean data is the foundation of any reliable Power BI report. This tutorial covers the Power Query essentials for cleaning data, from filtering rows to removing duplicates, so your visuals are built on accurate, analysis-ready datasets.
01Open Power Query
Navigate to Power Query within Power BI to access the data transformation tools before your data reaches the report canvas.
02Filter your dataset
Remove rows that don't belong in your analysis, narrowing the dataset down to what's relevant.
03Remove duplicates
Use Power Query's duplicate removal tools to eliminate repeated records that would otherwise skew your totals.
04Transform your data
Apply transformations such as splitting columns, changing data types, or renaming fields to standardize the dataset.
05Load the cleaned data into your report
Once cleaned, load the dataset into your report so it's ready for accurate visualization and analysis.
Frequently asked questions
Does cleaning data in Power Query change my original data source?
No, Power Query transformations are applied to a copy of the data used within Power BI, leaving the original source untouched.
Can I automate the cleaning steps for future refreshes?
Yes, once your Power Query steps are set up, they run automatically each time the data refreshes.
Is Power Query only for beginners, or useful for advanced users too?
It's useful for both — the interface is approachable for beginners, but advanced users can write custom M code for complex transformations.
Why does clean data matter so much for reporting accuracy?
Duplicate or inconsistent records can distort totals and trends, so cleaning ensures your visuals reflect reality.
Watch the full walkthrough
The same steps, demonstrated on screen from start to finish.
