Data Visualisation with R
ggplot2 makes it simple to create complex plots and provide a more programmatic interface for specifying what variables to plot, how they are displayed. We need minimal changes in case of data change or the type of plot with minimal amounts of adjustments and tweaking. Well-structured data will save you lots of time when making figures with ggplot2. Built step by step, adding new elements allows this extensive flexibility and customization of plots.
To build a ggplot, we will use the following cheat sheet that can be used for different types of plots:
R is way more than just a statistical programming language. The language has been widely used for data processing, manipulation, and visualization. It is voted one of the most studied programming languages by the community of programmers and is equally popular among academicians, and researchers. R is a relatively easy language to learn but learners need to explore R Help files form different knowledge sources. It requires you to succinctly and correctly create subsets of data for a proper visualization in R. Finally, R also provides a wide range of functions that are used to mine data from third-party applications. Although the best cheat sheets are the one that you create yourselves, you can find a whole lot of information here in the beginners cheat sheet for mastering R.