Plot any pair of variables — explore

Chooses an appropriate plot for the relationship between two variables according to their types. Two numeric variables are shown as a scatter plot with a fitted trend; a numeric and a categorical variable as box plots of the numeric variable by level; and two categorical variables as a filled bar chart of proportions.

Usage

explore_bivariate(
  data,
  x,
  y,
  method = "lm",
  palette = NULL,
  title = NULL,
  x_lab = NULL,
  y_lab = NULL
)

Arguments

data: A data frame.
x, y: The two variables (string or unquoted name).
method: Smoothing method for the numeric-numeric case (passed to ggplot2::geom_smooth()); NULL for no trend.
palette: Colours used when a fill/colour is needed; defaults to depictr_palette().
title, x_lab, y_lab: Title and axis labels (default to variable names).

Value

A ggplot2::ggplot object.

Details

Dates, date-times and durations (Date, POSIXct and difftime columns) count as numeric. Against a numeric variable, they give a scatter plot with a trend, drawn by scatter_trend(), and against a categorical one box plots of their values by level. A duration is drawn as a number in its own units, named in the default axis title, as in stay (days).

Examples

explore_bivariate(crop_yield, fertiliser, yield)        # numeric ~ numeric

explore_bivariate(lexical_decision, condition, RT)      # categorical ~ numeric

explore_bivariate(wellbeing_survey, region, education)  # categorical ~ categorical