If user wants to visualize the given set of aesthetic mappings which describes how the required variables in the data are mapped together for creation of mapped aesthetic attributes. Now let us focus on different types of plots which can be created with reference to the grammar − Data The combination of these independent components totally comprises a particular graphic. It also includes a feature called as “Faceting” which is generally used to create the same plot for different subsets of the mentioned dataset. The plot may also contain various statistical transformations of the concerned data which is drawn on the mentioned coordinate system. It tells the user or developer that a statistical graphic is used for mapping the data to aesthetic attributes such as color, shape, size of the concerned geometric objects like points, lines and bars. Relationship between “Grammar of Graphics” and R It focuses on the primary of layers which includes adapting features embedded with R. In the year 2005, Wilkinson created or rather originated the concept of grammar of graphics to describe the deep features which is included between all statistical graphics. The grammar includes simple set of core rules and principles. “Grammar of graphics” is the only sole reason which makes ggplot2 very powerful because the R developer is not limited to set of pre-specified graphics which is used in other packages. This package works under deep grammar called as “Grammar of graphics” which is made up of a set of independent components that can be created in many ways. This library is a phenomenal tool for creating graphics in R but even after many years of near-daily use we still need to refer to our Cheat Sheet. This package is designed to work in a layered fashion, starting with a layer showing the raw data collected during exploratory data analysis with R then adding layers of annotations and statistical summaries.Įven the most experienced R users need help for creating elegant graphics. The plots can be created iteratively and edited later. It provides beautiful, hassle-free plots that take care of minute details like drawing legends and representing them. Ggplot2 is an R package which is designed especially for data visualization and providing best exploratory data analysis.
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