Power BI Data Prep Challenge #5: Handling Missing Values with Power Query
Welcome to the fifth challenge in our Data Preparation series! In this video, we tackle missing values using the statistical features in Power Query Editor, transforming incomplete datasets into clean and actionable insights.
Challenge Highlights:
Identifying and assessing missing values with statistical measures
Using mean, median, and mode for data imputation
Applying Power Query transformations for efficient data cleaning
Leveraging descriptive statistics to enhance data quality
Best practices for handling missing data in Power BI
This challenge will help you master the art of data cleaning and preparation, ensuring your analyses are reliable and accurate. Whether you're a beginner or an advanced user, these techniques will strengthen your Power BI skills.
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file link : https://docs.google.com/spreadsheets/d/1NW...