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.
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.
The limits of the axes can be customized or transformed to the logarithmic scale with the
Scale.x_logparameter in theplot()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)
The minimum and maximum values in the plot or in a particular...
