However, in most cases you start with ggplot(), supply a dataset and aesthetic mapping (with aes()). You then add on layers (like geom_point() or geom_histogram()), scales (like …

ggplot() initializes a ggplot object. It can be used to declare the input data frame for a graphic and to specify the set of plot aesthetics intended to be common throughout all subsequent layers …

Jul 12, 2025 · ggplot(data = mtcars, aes(x = hp, y = mpg, col = disp))+ labs(title = "MTCars Data Plot")

Aug 20, 2025 · A curated ggplot2 hub for R. Learn geoms, axes/scales, labels/annotations, themes, faceting, colors, and saving plots—each with working code and examples.

Check the full list of charts made with ggplot2 and learn how to customize the plots customizing the axes, the background color, the themes and others

Plots may be created via the convenience function qplot() where arguments and defaults are meant to be similar to base R's plot() function. [19][20] More complex plotting capacity is …

As the first step in many plots, you would pass the data to the ggplot() function, which stores the data to be used later by other parts of the plotting system.

The main difference is that, unlike base graphics, ggplot works with dataframes and not individual vectors. All the data needed to make the plot is typically be contained within the dataframe …

You’ll learn the basics of ggplot() along with some useful “recipes” to make the most important plots. ggplot() allows you to make complex plots with just a few lines of code because it’s …

Jul 23, 2025 · The `aes ()` function in ggplot stands for aesthetic mappings. It is used to map variables in your data to visual properties of the plot like position, color, size, shape, etc.