pinpoint produces an interactive visualization inhabiting the space between a bar plot, a scatter plot, a box plot, and a histogram.
Hover over each point to see its distance from the specified compare mark (defaults to mean).
library(pinpoint) #remotes::install_github("daranzolin/pinpoint)
library(magrittr)
mtcars$name <- rownames(mtcars)
mtcars %>%
pinpoint(x = mpg,
fill = cyl,
tooltip = name,
compare_mark = "diff_from_mean",
title = "MPG by Cylinder")
You can jitter the points to avoid overlap:
mtcars %>%
pinpoint(x = mpg,
fill = cyl,
tooltip = name,
compare_mark = "diff_from_mean",
title = "MPG by Cylinder") %>%
pp_style(jitter_width = 70)
Or adjust the fill color and size of the points:
mtcars %>%
pinpoint(x = mpg,
fill = "firebrick",
tooltip = name,
compare_mark = "diff_from_mean",
title = "MPG by Cylinder") %>%
pp_style(jitter_width = 70,
point_radius = 5)
Change the line of comparison:
mtcars %>%
pinpoint(x = mpg,
fill = cyl,
tooltip = name,
compare_mark = "diff_from_median", # also accepts a numeric value
title = "MPG by Cylinder") %>%
pp_style(jitter_width = 70)
Control the axis:
mtcars %>%
pinpoint(x = mpg,
fill = cyl,
tooltip = name,
compare_mark = 21,
title = "MPG by Cylinder") %>%
pp_style(jitter_width = 70,
axis_range = c(20, 25),
ticks = 3)
Draw the quantiles:
mtcars %>%
pinpoint(x = mpg,
fill = cyl,
tooltip = name,
compare_mark = "diff_from_mean",
title = "MPG by Cylinder") %>%
pp_style(jitter_width = 70) %>%
draw_quantiles(color = "steelblue") # default is 25th and 75th
Or the standard deviations:
mtcars %>%
pinpoint(x = mpg,
fill = cyl,
tooltip = name,
compare_mark = "diff_from_mean",
title = "MPG by Cylinder") %>%
pp_style(jitter_width = 70) %>%
draw_deviations(1, color = "red")
Other options in pp_style: