Summary
In this chapter, you learned how to calculate the correlation coefficient for two numerical variables according to Pearson, Spearman, and Kendall. Then you also learned how to calculate it for two categorical variables thanks to Cramér's V and Theil's uncertainty coefficient. Finally, you also learned how to calculate it for one numeric and one categorical variable thanks to the correlation ratio.
In the next chapter, you will see how statistics are really important for determining outliers and imputing missing values in your dataset.
