Distribution Plot

Ridgeline density plot of every numeric column in data, optionally normalized/standardized first so columns on different scales stay comparable.

Usage

distribution_plot(data, method = "range")

Arguments

data

A data frame or tibble.

method

Normalization applied before plotting: "range" (default, via range_norm), "min_max" (via min_max_norm), "z" (via z_norm), or "none"/"raw" to plot the values as-is.

Value

A ggplot object.

Examples

df <- data.frame(normal_dist = rnorm(1000, -10, .5), poisson_dist = rpois(1000, 5))
distribution_plot(df)
#> Picking joint bandwidth of 0.0132

distribution_plot(df, method = "z")
#> Picking joint bandwidth of 0.226

distribution_plot(df, method = "none")
#> Picking joint bandwidth of 0.326