Data Visualization

In many cases, you can convey the same information in a graph that you can in a table, but a graph is more visually appealing and can represent relationships more succinctly.

Way back in Module 1, we went over different types of graphs - bar charts, line plots, scatter plots, and histograms. All of these graphs are useful for visualizing data and summarizing trends and patterns that may be hard to detect when looking at the data itself. In this section, we'll discuss the Matplotlib Python library for creating data visualizations, as well as look at a few simple and complex plots and discuss guidelines for style.