The Future of Missing Data
summary
Introduces the R packages {naniar} and {visdat} and demonstrates concrete visual tools to diagnose patterns and proportions of missingness, including a matrix overview with viz_miss and layered scatterplots that show removed points with geom_miss_point so missing x or y values appear off‑axis. Shows variable summaries with gg_miss_var, set intersections with gg_miss_upset, and previews new geoms like geom_miss_histogram and geom_imputed_point, plus a practical workbook, The Missing Book, with case studies and exercises.
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chapters (5)
- 0:00Intro
- 0:39Overview vizmiss
- 3:38More missing data visualizations
- 4:20Geometry histogram
- 4:52The Missing Book
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