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You should not just produce an identical visualization to Question 3 in Project B1. For this section, we'd like you to go beyond the analysis
You should not just produce an identical visualization to Question 3 in Project B1. For this section, we'd like you to go beyond the analysis you performed in Project B1. Choose some plot other than the 1-dimensional distribution of some quantity for spam and ham emails. In particular, do not produce a bar plot of proportions like you created in Question 3 of Project B1. Any other plot is acceptable, as long as it comes with thoughtful commentary. Here are some ideas: Consider the correlation between multiple features (look up correlation plots and sns.heatmap (documentation)). Try to show redundancy in a group of features (e.g., body and html might co-occur relatively frequently, or you might be able to design a feature that captures all HTML tags and compares them to these). Visualize which words have high or low values for helpful statistics. Visually depict whether spam emails tend to be wordier (in
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