Associations among independent variables: Create summaries and visualizations of how the independent variables are associated with each other. Here, many of the characteristics of the drugs might be associated with each other, and the drugs might “cluster” into groups based on these characterstics. This group will need to come up with ways (and code) to analyze that in the data. This might include correlation plots, hierarchical cluster analysis, and principal components analysis.
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More ideas for the hierarchical clustering visualization #3
I think once you have the clustered data in a dendrogram class, you'd be able to use some of these additional functions for creating interesting visualizations.
Check out the tutorial here: http://www.sthda.com/english/articles/28-hierarchical-clustering-essentials/92-visualizing-dendrograms-ultimate-guide/
I think once you have the clustered data in a
dendrogramclass, you'd be able to use some of these additional functions for creating interesting visualizations.