Multiple Plots

In the previous lesson on creating line charts in Python, we explored how a visual representation of data can help us reach observations about data more quickly than a table representation of the same data. We learned how to work with the pyplot module, which provides a high-level interface to the matplotlib library, to create and customize a line chart of unemployment data. To look for potential seasonality, we started by creating a line chart of unemployment rates from 1948.

In this lesson, we'll dive a bit deeper into matplotlib and learn how to create multiple line charts to help us compare monthly unemployment trends across time. Additionally, we will learn about the important matplotlib building blocks and used them to experiment with creating multiple line charts. Similar to the last mission, we'll analyze data from the United States Bureau of Labor Statistics to visualize unemployment data and how it changes over time.

As with every mission at Dataquest, you'll be given an opportunity to practice each concept using our code editor with built-in answer checking to ensure that you've mastered a concept before moving on to this next.