ggplot2是R语言第三方可视化扩展包，在某种程度上它基本代替了R可视化。该包是RStudio首席科学家Hadley Wickham读博期间的作品，它强大的画图逻辑使得它称为R最流行的包之一。更多知识分享请到 https://zouhua.top/ 。
ggplot2 is based on the grammar of graphics, the idea that you can build every graph from the same few components: a data set, a set of geoms—visual marks that represent data points, and a coordinate system。
To display data values, map variables in the data set to aesthetic properties of the geom like size, color, and x and y locations
aesthetic map variables in data to graphic properties. mappings control the relationship between data and graphic properties.
Aesthetic mapping means "something you can see"
Each type of geom accepts only a subset of all aesthetics-refer to the geom help pages to see what mappings each geom accepts. Aesthetic mappings are set with the aes() function.
scales map values in the data space to values in the aesthetic space(color, size, shape ...). scales are reported on the plot using axes and legends. Control aesthetic mapping.
Scales are modified with a series of functions using a scale_<aesthetic>_<type>naming scheme
The following arguments are common to most scales in ggplot2:
geometric objects are the actual marks we put on a plot
A plot must have at least one geometric object, and there is no upper limit. adding a geom by using the + operator.
It's often useful to transform your data before plotting, and that's what statistical transformations do.
Every geom function has a default statistic:
The ggplot2 theme system handles non-data plot elements such as
Built-in themes include:
