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When using palette = "cb_safe" in vis_dat, it shows missing values where there are none
palette = "cb_safe"
vis_dat
library(visdat) library(naniar) library(tidyverse) #> Loading tidyverse: ggplot2 #> Loading tidyverse: tibble #> Loading tidyverse: tidyr #> Loading tidyverse: readr #> Loading tidyverse: purrr #> Loading tidyverse: dplyr #> Conflicts with tidy packages ---------------------------------------------- #> filter(): dplyr, stats #> lag(): dplyr, stats # shows missing values where there are none pedestrian %>% filter(month=="January", year==2016) %>% vis_dat(palette = "cb_safe") + theme(aspect.ratio=1)
But if you use regular vis_dat, then there are no missing values shown.
# missing values not shown pedestrian %>% filter(month=="January", year==2016) %>% vis_dat() + theme(aspect.ratio=1)
Need to dig into what happens here.
Thanks @dicook for pointing this out!
The text was updated successfully, but these errors were encountered:
Consider using the colorspace R package to resolve this issue
colorspace
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When using
palette = "cb_safe"
invis_dat
, it shows missing values where there are noneBut if you use regular
vis_dat
, then there are no missing values shown.Need to dig into what happens here.
Thanks @dicook for pointing this out!
The text was updated successfully, but these errors were encountered: