Exploratory data analytics is one of the most important processes in a data science workflow. It is simply a thorough exploration of the data to find any possible patterns that can be identified through basic statistics and the shape of the data. It is mostly done with the help of plots, as visual information is much easier to comprehend than complex statistical terms. So, in this recipe, we will go through some exploratory analytics methods with the help of plots.
The Gadfly library, which we used for our recipes, also contains most of the plots that are frequently used for exploratory data analytics. We will use the same library for this purpose too. So, to install the library, you can follow the installation steps mentioned in the previous recipes.
We will also use datasets from the RDatasets package, which contains datasets that are in the data repository of the R programming language. So, to install the RDatasets package and invoke...
