Aesthetic customizations

As we have already gone through how to plot the most important visualizations and their customizations in the Gadfly library, we will also see how to customize them even further. The Gadfly library allows the analyst to almost completely tweak and customize their visualizations so that they can be better fitted to the dataset properties are very flexible for our purposes.

Getting ready

We will use the Gadfly library, which we used in the preceding recipes. So, to install the library, you can follow the installation steps mentioned in the previous recipes.

How to do it...

1. The limits of the axes can be customized or transformed to the logarithmic scale with the Scale.x_log parameter in the plot() function. This would help in visualizing exponentially increasing data or data in different scales. We will scale the x axis in this example. This can be done as follows:

   plot(x = rand(10), y = rand(10), Scale.x_log)
   

   

2. The minimum and maximum values in the plot or in a particular...