1. Customer Rating of Breakfast Cereals. The dataset Cereals.csv includes nutritional information, store display, and consumer ratings for 77 breakfast cereals.
2. Apply hierarchical clustering to the data using standardized measurements (dropping the mfr and type column because they are non-numerical).
3. Create a Dendrogram of the clusters, as well as put colored boxed around the dendgram clusters (2,3,4,5), at different levels. Which cereals are in cluster 5?
4. What's your interpretation of the result? Any reasonable solutions are accepted here.

(Hint: You may want to remove the missing data first, please use the code newdataname <-na.omit(dataname) to remove the missing data.)