Power BI Masterclass - Power BI Data Prep Challenge 5 - Handling Missing Values in Power BI

The video tutorial covers handling missing values in data using Power BI. It begins with an introduction to missing values and common methods to address them, such as using the mean or median. The instructor then presents a data example involving fruit sales and demonstrates how to import and transform this data in Power BI. The tutorial explains calculating averages for missing values and replacing nulls using M code. Finally, it shows how to finalize the data and create visualizations, including using slicers and formatting options.

Discuss the importance of data preparation before filling missing values.

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What are the potential consequences of not addressing missing values in data analysis?

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What is the significance of using the average to fill missing values in a dataset?

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How can you unpivot data in Power BI after filling missing values?

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