When you’re analyzing data, it’s not uncommon to find missing data or values. So what should you do if that happens? As with most things in Analytics, it depends on the scenario. In this video, George is going to share some general rules of thumb on how you can visualize missing data using ggmice in R.
***** Video Details *****
00:00 Introduction
00:45 Patterns
02:45 Importing packages
03:55 is.na
04:05 colSums
04:50 ggmice
05:30 Plot pattern
08:50 Plot predictor matrix
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