Gives you an at-a-glance ggplot of the missingness inside a dataframe,
colouring cells according to missingness, where black indicates a present
cell and grey indicates a missing cell. As it returns a ggplot
object,
it is very easy to customize and change labels, and so on.
Arguments
- x
a data.frame
- cluster
logical
TRUE
/FALSE
.TRUE
specifies that you want to use hierarchical clustering (mcquitty method) to arrange rows according to missingness.FALSE
specifies that you want to leave it as is.- sort_miss
logical
TRUE
/FALSE
.TRUE
arranges the columns in order of missingness.
Details
vis_miss
visualises a data.frame to display missingness. This is
taken from the visdat package, currently only available on github:
https://github.com/tierneyn/visdat
Examples
if (FALSE) {
monitors <- c("ASN00003003", "ASM00094299")
weather_df <- meteo_pull_monitors(monitors)
vis_miss(weather_df)
}