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Big Data Analysis with Python

You're reading from   Big Data Analysis with Python Combine Spark and Python to unlock the powers of parallel computing and machine learning

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Product type Paperback
Published in Apr 2019
Publisher Packt
ISBN-13 9781789955286
Length 276 pages
Edition 1st Edition
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Authors (3):
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Ivan Marin Ivan Marin
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Ivan Marin
Sarang VK Sarang VK
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Sarang VK
Ankit Shukla Ankit Shukla
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Ankit Shukla
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Toc

Table of Contents (11) Chapters Close

Big Data Analysis with Python
Preface
1. The Python Data Science Stack 2. Statistical Visualizations FREE CHAPTER 3. Working with Big Data Frameworks 4. Diving Deeper with Spark 5. Handling Missing Values and Correlation Analysis 6. Exploratory Data Analysis 7. Reproducibility in Big Data Analysis 8. Creating a Full Analysis Report Appendix

Seaborn


Seaborn (https://seaborn.pydata.org/) is part of the PyData family of tools and is a visualization library based on Matplotlib with the goal of creating statistical graphs more easily. It can operate directly on DataFrames and series, doing aggregations and mapping internally. Seaborn uses color palettes and styles to make visualizations consistent and more informative. It also has functions that can calculate some statistics, such as regression, estimation, and errors. Some specialized plots, such as violin plots and multi-facet plots, are also easy to create with Seaborn.

You have been reading a chapter from
Big Data Analysis with Python
Published in: Apr 2019
Publisher: Packt
ISBN-13: 9781789955286
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