Summary
In this chapter, we learned what data visualization is and understood its importance for any project. Our brain is designed to quickly capture images; thus, graphics are more likely to be absorbed by an audience than by a table or text.
We introduced the basic types of single-variable plots – that is, histograms, which are commonly used to view the distribution of variables, and boxplots, which are especially good at detecting outliers.
In the sequence, we learned about graphics with two variables, such as scatterplots, that can show us how x and y are related and whether that relationship is positive or negative. We also learned about bar plots, a good representation of categorical variables because they are one of the simplest types of visual and easily understandable. Finally, we looked at line plots and how they are a great fit for continuous data and time series plots.
The chapter concluded with some examples of plots with many variables, with the scatterplot...
