So, before you actually make the plot, try and figure what findings and relationships you would like to convey or examine through the visualization. Primarily, there are 8 types of objectives you may construct plots. The list below sorts the visualizations based on its primary purpose. Aesthetics supports information rather that overshadow it.It should not force you to think much in order to get it. Conveys the right information without distorting facts.Top 50 ggplot2 Visualizations - The Master List Part 3: Top 50 ggplot2 Visualizations - The Master List, applies what was learnt in part 1 and 2 to construct other types of ggplots such as bar charts, boxplots etc. Part 2: Customizing the Look and Feel, is about more advanced customization like manipulating legend, annotations, multiplots with faceting and custom layouts Part 1: Introduction to ggplot2, covers the basic knowledge about constructing simple ggplots and modifying the components and aesthetics. This tutorial is primarily geared towards those having some basic knowledge of the R programming language and want to make complex and nice looking charts with R ggplot2. This is part 3 of a three part tutorial on ggplot2, an aesthetically pleasing (and very popular) graphics framework in R.
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What type of visualization to use for what sort of problem? This tutorial helps you choose the right type of chart for your specific objectives and how to implement it in R using ggplot2. Top 50 ggplot2 Visualizations - The Master List (With Full R Code)
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