Week4 CST 383
This week in CST 383 the lectures focused on working with two or more discrete/categorical variables and figuring out how to analyze and visualize the relationships between them. The core concepts for this week were involving crosstabs, looking through different relationships such as joint probabilities, conditional probabilities, answering various questions in regard to variables with normalization of distributions, along with visualizing with grouped/stacked bar plots, and heatmaps. Additionally we took a look at the involvement of multiple variables such as visualizing two or more through methods such as hue, style, size, and faceting. The core concept this week that really made me slow down and think a bit was the role of normalization in crosstabs. At first, I understood that a crosstab or contingency table helps visualize the counts for combinations of two different variables. Something that did confuse me a bit was the proper ways to use normalize=’index’, normalize=’columns’, ...