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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 FREE CHAPTER 2. Statistical Visualizations 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

Chapter 8. Creating a Full Analysis Report

Note

Learning Objectives

By the end of this chapter, you will be able to:

  • Read data from different sources in Spark

  • Perform SQL operations on a Spark DataFrame

  • Generate statistical measurements in a consistent way

  • Generate graphs and plots using Plotly

  • Compile an analysis report incorporating all the previous steps and data

Note

In this chapter, we will read the data using Spark, aggregating it, and extract the statistical measurements. We will also use the Pandas to generate graphs from aggregated data and form an analysis report.

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