This question is a follow-up to my previous question: Adding color code (fill) to vis_miss plot
I would like to visualize the \"missing info\" in a data frame u
Here, I removed the legend for NA
. If this doesn't serve your purpose properly, I can think of a hacky solution to add another legend for data vs. missing.
library(tidyverse)
airquality %>%
mutate(id = row_number()) %>%
gather(-c(id,Month), key = "key", value = "val") %>%
mutate(isna = is.na(val)) %>%
mutate(Month_Dummy=as.factor(ifelse(isna==TRUE,NA,Month))) %>%
mutate(Month=as.factor(Month)) %>%
ggplot() +
geom_raster(aes(key, id, fill = Month)) +
geom_raster(aes(key, id, fill = Month_Dummy)) +
labs(x = "Variable",
y = "Row Number", title = "Missing values in rows") +
coord_flip()
The hacky solution that I can think of is adding a geom_point
for just one of the missing and used that for the legend of missing data points. It's not the best in terms of appearance, but is the only solution I can think of.
library(tidyverse)
airquality %>%
mutate(id = row_number()) %>%
gather(-c(id,Month), key = "key", value = "val") %>%
mutate(isna = is.na(val)) %>%
mutate(Month_Dummy=as.factor(ifelse(isna==TRUE,NA,Month))) %>%
mutate(Month=as.factor(Month)) -> aqdf
ggplot(data = aqdf, aes(key, id)) +
geom_raster(aes(fill = Month)) +
geom_raster(aes(fill = Month_Dummy)) +
geom_point(data=aqdf[aqdf$isna==TRUE,][1,],
aes(NA, id, colour = "NA"),
inherit.aes = FALSE) +
scale_color_manual(values=c("grey50")) +
labs(x = "Variable", y = "Row Number",
title = "Missing values in rows", color = "Missing") +
coord_flip() +
theme(legend.key = element_rect(fill = "grey50"))