Chapter 1. Visualizing and Manipulating Data Using R

Data visualization is one of the most important processes in data science. Relationships between variables can sometimes more easily be understood visually than relying only on predictive modeling, or statistics, and this most often requires data manipulation. Visualization is the art of examining distributions and relationships between variables using visual representations (graphics), with the aim of discovering patterns in data. As a matter of fact, a number of software companies provide data visualization tools as their sole or primary product (for example, Tableau, Visual.ly). R has built-in capabilities for data visualization. These capabilities can of course (as with almost everything ...

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