Handling missing data is a critical step in data analysis, as failing to address it properly can lead to biased results and reduced analytical power. The mice package for R, short for Multivariate Imputation by Chained Equations, provides a robust and flexible framework for handling missing values through multiple imputation.
The visualizations shown below originate from the package website: https://github.com/amices/mice
More info: http://eepurl.com/gH6myT