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? Also, 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 $2)$ 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? Also, 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. Compare and contrast the visualizations of the clusters detected by two Machine Learning models. Which one has done a better job in clustering? I am attaching the screenshot of the dataset as i can not attach the whole file. There are a total of $1000$ columns and the total number of rows are shown in the screenhot. The file name is "Stat". Please solve these questions in R programmins with each step describe with comments and let me know the pcakges to install in R studio Ready $$ Accessibility: Good to go