Summary
In this chapter, you learned what outliers are, what causes them generally, and how they are treated. You also learned how to identify them based on the number of variables involved and their given type, both in Python and in R.
Another important topic you covered was how to impute missing values in tabular and time-series datasets. You learned how to diagnose them and impute them with R.
After that, you implemented the value imputation algorithms in Power BI.
In the next chapter, you will see how to use machine learning algorithms in Power BI without the need for Premium or Embedded capabilities.
