Use a function such as factoextra::fviz_nbclust with silhouette method to identify the optimum number of clusters of customers that can be identified in your data if you wanted to use Hierarchical Clustering?

The city is Montreal and data set is in attatched file

Focus on these two variables: EdYears, Cosmatics
Question 1) Use a function such as factoextra::fviz_nbclust with silhouette method to identify the optimum number of clusters of customers that can be identified in your data if you wanted to use Hierarchical Clustering?
Question 2) Use a function such as stats::hclust to build your hierarchical cluster model and use factoextra::fviz_cluster to visualize the optimum number of clusters you identified above.
Question 3) Use a function such asfactoextra::fviz_nbclust with silhouette method to identify the optimum number of clusters of customers that can be identified in your data if you wanted to use K-Means Clustering?
Question 4) Use a function such as stats::Kmeans to build your Kmeans cluster model and use factoextra::fviz_cluster to visualize the optimum number of clusters you identified above.
Question 5) Compare and contrast the visualizations of the clusters detected by two Machine Learning models. Which one has done a better job in clustering?