From the course: Data Visualization with Matplotlib and Seaborn

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Why visualize data?

Why visualize data?

- [Instructor] Welcome to our course on data visualization with Python. We'll be diving deep into the map plot, live, and seaborne libraries. Before we dive into code, we're going to do a brief overview on the principles of data visualization and some key tips for storytelling with data. If you've taken a Maven Analytics course on data visualization in the past, a lot of this material will feel very familiar. So feel free to speed through this or skip some of the content if you already have covered this material. But in my experience, I've found that a good refresher on data visualization principles is a great way to kick off learning a new data visualization tool. Either way, let's go ahead and dive in. In this section, we're going to cover key data visualization best practices for clear communication with tips for choosing the right chart, formatting it effectively, and using it to tell a story. We're going to cover data viz 101, three key questions, essential visuals, chart…

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