Module #9: Visualizing Multivariate Data with ggplot2 & Corrgram

 






I used the Iris, which has many flowers and includes details on sepal length and width, as well as petal length and width. I used this dataset because it measures different flower types, such as setosa, versicolor, and virginica. 

My visualization measures sepal length and compares it across the three species of iris flowers. The boxplot shows that setosa has the smallest sepal length, virginica has the largest, and versicolor is in between. This visualization helps tell the differences and similarities. 

Yes, the boxplot is a multivariate visualization because it compares sepal length across three species. Making it easy to compare them side by side. 

In my boxplot, I used alignment by keeping everything easy to read and compare. I also used contrast by using a gray background with red boxes so the boxplots would stand out, and I used balance by spacing the boxplots evenly so the chart looks neat and easier to read and understand. 


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