Clustering European Unemployment data

The study uses different clustering techniques to get insights into patterns of employment amongst European countries in 1970s

The European Employment data consists of the percentage employed in different industries in Europe countries during 1979. The purpose of examining this data is to get insights into patterns of employment (if any) amongst European countries in 1970s. The original dataset was random sampled for 80% of the total datapoints. KMeans and Hierachical clustering techniques were applied to this random sampled data to categorize the countries into different clusters.

Link to github repo