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 scale_colour_brewer()), …

ggplot2的语法与base r不同。 根据基本元素，默认的ggplot需要指定三样东西: 数据，美学和几何形状。 我们总是通过调用ggplot (data = df)来定义绘图对象，它只告诉ggplot2我们将处理该数据。

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 scale_colour_brewer()), …

A system for 'declaratively' creating graphics, based on "The Grammar of Graphics". You provide the data, tell 'ggplot2' how to map variables to aesthetics, what graphical primitives to use, and it takes …

如果将数据定义在 ggplot() 中，那么所有图层都可以共用这个数据；如果将数据定义在 geom_xyz() 中，那么这个数据就只供这个几何对象使用。 掌握了数据、几何对象、图形属性和图层的概念后，我 …

ggplot ()：此函数才是 ggplot2 的精髓，远比qplot ()强大，可以一步步绘制十分复杂的图形。 由 ggplot2 绘制出来的ggplot图可以作为一个变量，然后由print ()显示出来。 图形类型 根据 数据集， ggplot2 …

plotly: turn your ggplot interactive Another awesome feature of ggplot2 is its link with the plotly library. If you know how to make a ggplot2 chart, you are 10 seconds away to rendering an interactive version. …

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 scale_colour_brewer()), …

Nov 24, 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.

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 based on a rich …