From the course: Data Visualization with Matplotlib and Seaborn

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Key takeaways

Key takeaways - Python Tutorial

From the course: Data Visualization with Matplotlib and Seaborn

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Key takeaways

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- [Instructor] We've just covered the basics of the Seaborne library. Let's go ahead and wrap this section with some key takeaways. Seaborn is a user-friendly extension of Matplotlib. It has a greatly simplified interface compared to Matplotlib, which makes it great for exploring data. It tends to have nicer default aesthetics, and it's built to work with Pandas DataFrames. So we can get a lot out of the Seaborn library. And if you need to visualize data quickly or explore data quickly, Seaborn is often the way to go. Seaborn also adds new chart types that are useful in exploring data. While technically we could create every chart type that we saw in the Seaborn section in Matplotlib, it would be a ton of work to do what Seaborn has already created for us. So things like violin plots and linear model plots help profile data and identify relationships between variables very quickly. And finally, Seaborne is very compatible with Matplotlib. Because Seaborne charts are extensions of…

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