Create a point plot in place of each value.

Creates a dot/point plot in each row. Can be used as an alternative for a bar plot. Accepts any range of values, as opposed to gt_plt_percentile which is intended to be used for values between 0 and 100.

Usage

gt_plt_point(
  gt_object,
  column,
  palette = c("#007ad6", "#f0f0f0", "#f72e2e"),
  width = 25,
  scale = 1,
  accuracy = 1
)

Arguments

gt_object: An existing gt table
column: The column to transform to the percentile dot plot. Accepts tidyeval. All values must be end up being between 0 and 100.
palette: A vector of strings of length 3. Defaults to c('blue', 'lightgrey', 'red') as hex so c("#007ad6", "#f0f0f0", "#f72e2e")
width: A numeric, indicating the width of the plot in mm, defaults to 25
scale: A number to multiply/scale the values in the column by. Defaults to 1, but can also be 100 if you have decimals.
accuracy: Accuracy of the number labels in the plot, passed to scales::label_number()

Value

a gt table

Examples

point_tab <- dplyr::tibble(x = c(seq(1.2e6, 2e6, length.out = 5))) %>%
  gt::gt() %>%
  gt_duplicate_column(x,dupe_name = "point_plot") %>%
  gt_plt_point(point_plot, accuracy = .1, width = 25) %>%
  gt::fmt_number(x, suffixing = TRUE, decimals = 1)

Figures

Function ID

3-9