Closed prvst closed 5 years ago
As a temporary solution, you can hack profile_missing
and plot_missing
function by tweaking the threshold.
Thanks nice job with this package btw.
@prvst I still plan to put something in place for end users to customize the threshold. However, I do not have a good idea at this moment. I am re-opening, so that it doesn't disappear off the radar.
cool, thanks for the quick reply
@prvst With the latest develop
branch, you can customize the band.
Example:
plot_missing(airquality, group = list("B1" = 0, "B2" = 0.06, "B3" = 1))
Is it possible to change the plot_missing threshold classification ? I work with data sets which 2% missing is already bad, but when I plot them using plot_missing it says that they are good. The plots are not for me, so this might confuse some people.