Expanding Tidy Data Principles to Facilitate Missing Data Exploration, Visualization and Assessment of Imputations

Despite the large body of research on missing value distributions and imputation, there is comparatively little literature with a focus how to make it easy handle, explore, impute values in data. This paper addresses this gap. The new methodology builds upon tidy data principles, goal integrating handling as key part analysis workflows. We define structure, suite operations. Together, these provide connected framework for handling, exploring, imputing values. These methods are available R package naniar.