Week 3 CST 383
This week in CST 383 we continued to explore more about the different variables such as those which are continuous or discrete in data science by looking at the ways we can explore and visualize data. The start of the lectures focused on providing ways to analyze one continuous variable through density plots, histograms, and boxplots to enhance the understanding of how data is located and scaled visually. This week’s lectures walked us through how to create the plots in Python using a notebook‑style workflow, which I found especially helpful because of the way it blends the different cells such as the code, text, and visual output in a way that makes the analysis feel more intuitive. In a way I am able to observe the plot completely right underneath a certain cell of a code to mix and match different parameters in order to get the right visualizations. After getting some practice with plotting through the homework and labs, I began to understand the intricacies of the different plots. ...