R tips

Handle missing data with R: 10 daily used idioms

Commands you should bring to automatism

Photo by Matt Artz on Unsplash

Data cleaning is one of the most time-consuming stages of the Data Analysis process. Many of its steps include acquainting the dataset, search of the missing values, their imputation or removing, and possibly a lot of repetitions of the same code lines but for different variables…