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Questions The dataset 'Cereals.csv' includes nutritional information, store display, and consumer ratings for 77 breakfast cereals. We are going to apply hierarchical clustering to cluster

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Questions The dataset 'Cereals.csv' includes nutritional information, store display, and consumer ratings for 77 breakfast cereals. We are going to apply hierarchical clustering to cluster these cereals based on their nutrition facts. 1. P93!\" .059\" Make sure your Cereals.csv file is in the same folder as your Cereals.R file. Change the working directory use Session -> Set Working Directory -> To Source File Location from the Menu Bar. Use read. csv command to import the dataset \"Cerealscsv\". Delete the records with missing data. (6 points) Drop the first three non-numerical variables, the three variables about store display: \"shelf\

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