## Creating Chernoff faces in R

One of the alternative methods to visualize multivariate data is using Chernoff faces. Each variable in the dataset is used to represent a feature of the face. Chernoff used 18 variables to represent different facial features such as head, nose, eyes, eyebrows, mouth, and ears. Kosara (http://eagereyes.org/criticism/chernoff-faces) discusses the limitation of using Chernoff faces at length.

In order to construct Chernoff faces, I have downloaded some specific macroeconomic variables for a set of countries from the World Bank website.

### Getting ready

We will implement Chernoff faces in R by using the `faces()`

function available under the `aplpack`

package in R.

### How to do it…

To create Chernoff faces, we would require to install the `aplpack`

package in R and load it in our active R session using the `install.packages()`

and `library()`

functions:

install.packages("aplpack") library(aplpack)

We can load the data in R using the `read.csv()`

function. Note that R will search for the...