The Future of Missing Data

on YouTube ↗06m

" summary

Uses the R packages naniar and visdat to inspect real missingness (air temp 11% missing, humidity 12%) and shows how 171 rows get dropped by default; visual tools include geom_miss_point, gg_miss_var, gg_miss_upset and gg_miss_fct and reveal distinct per-year missingness via facet_wrap. New additions demoed are geom_miss_histogram and geom_imputed_point to display missing and imputed values, and a forthcoming book with Allison Horst provides exercises and workflows.

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" chapters (5)

1. 0:00Intro
2. 0:39Overview vizmiss
3. 3:38More missing data visualizations
4. 4:20Geometry histogram
5. 4:52The Missing Book

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