Imagine you're working with a data set in R that contains missing values. How would you handle the missing values in your statistical analysis?

When working with a data set in R that contains missing values, handling them in your statistical analysis depends on the nature and extent of missingness. You may choose to exclude the observations with missing values from the analysis, use imputation techniques to fill in the missing values based on certain assumptions, or perform the analysis on the available data and report the limitations or potential bias introduced by the missing values. The choice of approach should be guided by the research question, the amount of missingness, and the assumptions underlying the analysis.