Creating an interactive KMeans clustering app

Let's now put everything together and make an interactive clustering application using our dataset. We will give users the option to choose the year, as well as the indicator(s) that they want. They can also select the number of clusters and get a visual representation of those clusters, in the form of a colored choropleth map, based on the discovered clusters.

Please note that it is challenging to interpret such results with multiple indicators because we will be handling more than one dimension. It can also be difficult if you are not an economist and don't know which indicators make sense to be checked with which other indicators, and so on.

The following screenshot shows what we will be working toward:

Figure 9.9 – An interactive KMeans clustering application

As you can see, this is a fairly rich application in terms of the combinations of options that it provides. As I also mentioned...