Chapter 3 Visualizing missing data
Largely based on contributions from this SO thread
3.1 Example data
Using riskfactors dataset from naniar package.
data(riskfactors, package = "naniar")str(riskfactors)## Classes 'tbl_df', 'tbl' and 'data.frame': 245 obs. of 34 variables:
## $ state : Factor w/ 52 levels "1","2","5","6",..: 22 36 52 38 28 15 40 50 14 5 ...
## $ sex : Factor w/ 2 levels "Male","Female": 2 2 2 1 2 1 1 2 1 2 ...
## $ age : int 49 48 55 42 66 66 37 62 38 42 ...
## $ weight_lbs : int 190 170 163 230 135 165 150 170 146 260 ...
## $ height_inch : int 64 68 64 74 62 70 68 70 70 73 ...
## $ bmi : num 32.7 25.9 28 29.6 24.7 ...
## $ marital : Factor w/ 6 levels "Married","Divorced",..: 1 2 1 1 3 1 1 5 1 4 ...
## $ pregnant : Factor w/ 2 levels "Yes","No": NA NA NA NA NA NA NA NA NA 2 ...
## $ children : int 0 0 0 1 0 0 3 0 2 3 ...
## $ education : Factor w/ 6 levels "1","2","3","4",..: 6 5 4 6 5 5 6 6 4 5 ...
## $ employment : Factor w/ 7 levels "1","2","3","4",..: 2 1 5 1 1 6 2 6 1 3 ...
## $ income : Factor w/ 10 levels "<10k","10-15k",..: 6 6 1 8 7 6 8 1 7 3 ...
## $ veteran : Factor w/ 5 levels "1","2","3","4",..: 5 5 5 5 5 3 5 5 5 5 ...
## $ hispanic : Factor w/ 2 levels "Yes","No": 2 2 1 2 2 2 2 2 2 2 ...
## $ health_general : Factor w/ 6 levels "Excellent","VeryGood",..: 3 4 4 1 1 1 2 5 5 3 ...
## $ health_physical : int 3 4 0 0 0 0 0 30 30 0 ...
## $ health_mental : int 15 30 0 0 0 0 0 30 30 20 ...
## $ health_poor : int 2 3 NA NA NA NA NA 30 14 4 ...
## $ health_cover : Factor w/ 2 levels "Yes","No": 1 1 1 1 1 1 1 2 1 1 ...
## $ provide_care : Factor w/ 2 levels "Yes","No": 2 2 2 2 2 2 1 2 2 2 ...
## $ activity_limited: Factor w/ 2 levels "Yes","No": 1 2 2 2 2 2 2 2 1 NA ...
## $ drink_any : Factor w/ 2 levels "Yes","No": 2 2 2 1 2 2 1 2 2 NA ...
## $ drink_days : int NA NA NA 15 NA NA 2 NA NA NA ...
## $ drink_average : int NA NA NA NA NA NA 2 NA NA NA ...
## $ smoke_100 : Factor w/ 2 levels "Yes","No": 2 2 2 2 1 2 2 1 1 1 ...
## $ smoke_days : Factor w/ 3 levels "Everyday","Somedays",..: NA NA NA NA 1 NA NA 3 1 3 ...
## $ smoke_stop : Factor w/ 2 levels "Yes","No": NA NA NA NA 1 NA NA NA 1 NA ...
## $ smoke_last : Factor w/ 6 levels "3","4","5","6",..: NA NA NA NA NA NA NA 5 NA 3 ...
## $ diet_fruit : int 1095 52 36 NA -7 24 52 156 24 NA ...
## $ diet_salad : int 261 209 156 NA 261 52 156 24 84 NA ...
## $ diet_potato : int 104 52 52 NA 209 104 24 52 144 NA ...
## $ diet_carrot : int 156 0 24 NA 261 52 24 104 24 NA ...
## $ diet_vegetable : int 521 52 24 NA 365 365 730 365 0 NA ...
## $ diet_juice : int 12 0 24 NA 104 365 104 0 0 NA ...
