visdat
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ropensci
axis.text.x = element_text(size) for vis_miss
I just used this to visualise a little over 100 variables and wanted to decrease the size of the variable labels. I just modified vis_miss to take a xsize argument and added this to line https://github.com/tierneyn/visdat/blob/master/R/vis_miss.R#L80
Thought you might consider this or even something like guestimating from the number of cols what a sensible size might be?
Cool!
Many variables at once can look a bit gross sometimes, I'm not sure whether once you reach some particular size (100 or 200+ variables), whether it would be best to use interactive graphics, for example using a plotly wrapper - a mouseover could then tell you what the variable is. I think some upper limit would need to be placed, otherwise you could end up with a case where you visualise 1000 variables and your variables diminish into single pixels or something.
But overall I think that this bears thinking about - I'll try and cook up a solution before the end of March, there are a few other things I want to work on with visdat in the meantime.
Alternatively, if you have some code you think works, you are more than welcome to submit a pull request.
Thanks for using visdat! :)
OK so I think a possible solution to this would be to make the label resizing an additional option in the visdat operations family.
Something like:
vis_dat(data, scale_label_size = T)
This is the current workaround for this issue - in addition to tinkering with the settings in visdat
library(visdat)
long_data <- data.frame(
really_really_long_name = c(NA, NA, 1:8),
very_quite_long_name = c(-1:-8, NA, NA),
this_long_name_is_something_else = c(NA, NA,
seq(from = 0, to = 1, length.out = 8))
)
vis_miss(long_data)
long_data %>% abbreviate_vars() %>% vis_miss()
long_data %>% abbreviate_vars(min_length = 5) %>% vis_miss()
long_data %>% abbreviate_vars(min_length = 15) %>% vis_miss()
Created on 2022-10-21 with reprex v2.0.2
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