## Histograms

Histograms are one of the best ways for visualizing and finding out the three main statistics of a dataset: the mean, median, and mode. Histograms also help analysts get a very clear understanding of the distribution of data. The ability to plot categorical data as well as numerical data is what makes the histogram unique.

### Getting ready

We will use the `Gadfly`

library, which we used for understanding and plotting data in the preceding recipes. So, to install the library, you can follow the installation steps mentioned in the previous recipes.

### How to do it...

A basic histogram is a simple set of stacked bars, which shows the distribution of a particular feature in a dataset. This can be plotted using the

`plot()`

function, with the`Geom.histogram`

attribute as the aesthetic parameter. We will use the`diamonds`

dataset for the purpose. This can be done as follows:**plot(dataset("ggplot2", "diamonds"), x = "Price", Geom.histogram)**As with earlier plots, color aesthetics can be used to differentiate...