From the course: Python Data Visualization: Create Impactful Visuals, Animations, and Dashboards by Pearson

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Understand the structure of Seaborn

Understand the structure of Seaborn - Python Tutorial

From the course: Python Data Visualization: Create Impactful Visuals, Animations, and Dashboards by Pearson

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Understand the structure of Seaborn

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Seaborn is a statistical visualization package that was designed specifically to help you generate statistical graphics in Python. It is built on top of Matplotlib and, of course, integrates nicely with Panda's data structures like DataFrame and Series. It is capable of essentially aggregating, slicing and dicing your data in whatever way is necessary to produce the visualization that you request. One of the main goals of Seaborn is that it aims to make visualization a central part of the data exploration and understanding process. It takes a dataset-oriented plotting functions that essentially operate directly on data frames that represent entire datasets and it's able to perform whatever necessary semantic mapping and statistical aggregation to generate informative plots. So Seaborn minimizes the amount of data wrangling and data slicing and dicing that you have to do to generate your visualizations. Most of the time you can simply provide it with the raw data frame and ask it to…

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