vis_guess_ly, like the other vis_*_ly families, gives an at-a-glance interactive plotly plot of a dataset, using the * method. In this case, an interactive version of vis_guess.

vis_guess_ly(x, palette = "default")

Arguments

x

a data.frame object

palette

character "default", "qual" or "cb_safe". "default" (the default) provides the stock ggplot scale for separating the colours. "qual" uses an experimental qualitative colour scheme for providing distinct colours for each Type. "cb_safe" is a set of colours that are appropriate for those with colourblindness. "qual" and "cb_safe" are drawn from http://colorbrewer2.org/.

Value

plotly interactive plot, similar in appearance to vis_guess

See also

vis_miss() vis_dat() vis_miss_ly() vis_compare()

Examples

messy_vector <- c(TRUE, "TRUE", "T", "01/01/01", "01/01/2001", NA, NaN, "NA", "Na", "na", "10", 10, "10.1", 10.1, "abc", "$%TG") set.seed(1114) messy_df <- data.frame(var1 = messy_vector, var2 = sample(messy_vector), var3 = sample(messy_vector)) vis_guess_ly(messy_df)
#> We recommend that you use the dev version of ggplot2 with `ggplotly()` #> Install it with: `devtools::install_github('hadley/ggplot2')`