Create Elegant Data Visualisations Using the Grammar of Graphics …
The Data Visualization and Communication chapters in R for Data Science. R for Data Science is designed to give you a comprehensive introduction to the tidyverse, and these two chapters will get you up to speed with the essentials of ggplot2 as quickly as possible.
Introduction to ggplot2
ggplot2 is an R package for producing visualizations of data. Unlike many graphics packages, ggplot2 uses a conceptual framework based on the grammar of graphics. This allows you to ‘speak’ a graph from composable elements, instead of being limited to a predefined set of charts.
Function reference - ggplot2
To create your own geoms, stats, scales, and facets, you’ll need to learn a bit about the object oriented system that ggplot2 uses. Start by reading vignette("extending-ggplot2") then consult these functions for more details.
Create a new ggplot — ggplot • ggplot2
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 unless specifically overridden.
Bar charts — geom_bar - ggplot2
This geom treats each axis differently and, thus, can thus have two orientations. Often the orientation is easy to deduce from a combination of the given mappings and the types of positional scales in use. Thus, ggplot2 will by default try to …
Points — geom_point • ggplot2
If NULL, the default, the data is inherited from the plot data as specified in the call to ggplot(). A data.frame , or other object, will override the plot data. All objects will be fortified to produce a data frame.
ggplot2: Create Elegant Data Visualisations Using the Grammar of ...
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 care of the details.
Aesthetic specifications - ggplot2
This vignette summarises the various formats that grid drawing functions take. Most of this information is available scattered throughout the R documentation. This appendix brings it all together in one place.
Histograms and frequency polygons — geom_freqpoly • ggplot2
This geom treats each axis differently and, thus, can thus have two orientations. Often the orientation is easy to deduce from a combination of the given mappings and the types of positional scales in use. Thus, ggplot2 will by default try to …
Compute empirical cumulative distribution — stat_ecdf - ggplot2
If NULL, the default, the data is inherited from the plot data as specified in the call to ggplot(). A data.frame , or other object, will override the plot data. All objects will be fortified to produce a data frame.