Knowing how to detect outliers in datasets and how to visualize them is important for data analysts because it helps them identify potential errors or anomalies in data that can skew statistical analyses and modeling results.
Outliers can also provide valuable insights into unusual or unexpected patterns in the data that may be indicative of underlying trends or issues, facilitating more effective data-driven decision-making. In this video, Sam is going to demonstrate how you can detect and visualize outliers using DAX in Power BI.
*****Video Details*****
00:00 Introduction
01:13 Determining the logic
03:44 Doing logic in a dynamic way
04:00 Criteria for outliers
05:22 Outlier detection logic
08:10 Grouping
09:15 Conclusion
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