Summary
In this chapter, we went back and forth between statistical measurements and graphical representations of them and showed how EDA lets you use descriptive statistics and data visualizations to make sense of your data.
We saw that box plots give you a graphical way of seeing your minimum, maximum, median, and quartile values of data to help you perform univariate analysis by seeing how data is distributed over a single column of data. We also explored alternative ways of visualizing single-variable distributions, such as the violin plot and the histogram.
In the next chapter, we’ll take our data visualization efforts up a notch by adding additional dimensions and seeing how different columns interact with each other.
