World indicators: clustering countries

You're working as a data analyst for a travel agency. The company would like to identify the countries where senior tourism could be a lucrative market. The data you are working with contains thirteen years of data for multiple countries worldwide. The measures provide more information on tourism per capita, life expectancy, and population indicators. You decide to use clustering to group the countries of interest.