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Become a Python Data Analyst

You're reading from   Become a Python Data Analyst Perform exploratory data analysis and gain insight into scientific computing using Python

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Product type Paperback
Published in Aug 2018
Publisher Packt
ISBN-13 9781789531701
Length 178 pages
Edition 1st Edition
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Author (1):
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Alvaro Fuentes Alvaro Fuentes
Author Profile Icon Alvaro Fuentes
Alvaro Fuentes
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Summary

In this chapter, we talked about matplotlib and the way it works. We also learned about the difference between the object-oriented interface and the pyplot interface. In addition, we learned how to produce some common visualizations and talked about how to do visualizations with seaborn and pandas, which are very convenient. Finally, we learned how to visualize the relationships between variables and did a practical example of an exploratory data analysis on a real-world dataset.

In the next chapter, we will look at how to carry out statistical computing with Python.

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