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examples updated

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Andreas Gammelgaard Damsbo 2025-11-19 11:22:47 +01:00
commit c2fa49e914
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2
man/data_summary_gather.Rd
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@ -31,5 +31,5 @@ data.frame
Data summary for printing visual summary
}
\examples{
mtcars |> data_summary_gather()
mtcars |> data_summary_gather() |> names()
}

26
man/visual-summary.Rd
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@ -102,18 +102,18 @@ visual_summary_demo_app <- function() {
}
visual_summary_demo_app()
data_demo <- mtcars
data_demo[2:4, "cyl"] <- NA
rbind(data_demo, data_demo, data_demo, data_demo) |> missings_apex_plot()
data_demo |> missings_apex_plot()
mtcars |> missings_apex_plot(animation = TRUE)
# data_demo <- mtcars
# data_demo[2:4, "cyl"] <- NA
# rbind(data_demo, data_demo, data_demo, data_demo) |> missings_apex_plot()
# data_demo |> missings_apex_plot()
# mtcars |> missings_apex_plot(animation = TRUE)
# dplyr::storms |> missings_apex_plot()
visdat::vis_dat(dplyr::storms)
data_demo <- mtcars
data_demo[sample(1:32, 10), "cyl"] <- NA
data_demo[sample(1:32, 8), "vs"] <- NA
visual_summary(data_demo)
visual_summary(data_demo, palette.fun = scales::hue_pal())
visual_summary(dplyr::storms, summary.fun = data_type)
visual_summary(dplyr::storms, summary.fun = data_type, na.label = "Missings", legend.title = "Class")
# visdat::vis_dat(dplyr::storms)
# data_demo <- mtcars
# data_demo[sample(1:32, 10), "cyl"] <- NA
# data_demo[sample(1:32, 8), "vs"] <- NA
# visual_summary(data_demo)
# visual_summary(data_demo, palette.fun = scales::hue_pal())
# visual_summary(dplyr::storms, summary.fun = data_type)
# visual_summary(dplyr::storms, summary.fun = data_type, na.label = "Missings", legend.title = "Class")
}