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Hands-On Data Analysis with Scala

You're reading from   Hands-On Data Analysis with Scala Perform data collection, processing, manipulation, and visualization with Scala

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Product type Paperback
Published in May 2019
Publisher Packt
ISBN-13 9781789346114
Length 298 pages
Edition 1st Edition
Languages
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Author (1):
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Rajesh Gupta Rajesh Gupta
Author Profile Icon Rajesh Gupta
Rajesh Gupta
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Toc

Table of Contents (14) Chapters Close

Preface 1. Section 1: Scala and Data Analysis Life Cycle FREE CHAPTER
2. Scala Overview 3. Data Analysis Life Cycle 4. Data Ingestion 5. Data Exploration and Visualization 6. Applying Statistics and Hypothesis Testing 7. Section 2: Advanced Data Analysis and Machine Learning
8. Introduction to Spark for Distributed Data Analysis 9. Traditional Machine Learning for Data Analysis 10. Section 3: Real-Time Data Analysis and Scalability
11. Near Real-Time Data Analysis Using Streaming 12. Working with Data at Scale 13. Another Book You May Enjoy

Visualizing data

Graphs and charts are used to gain a better understanding of the data relationship. We will use the following to explore data visually:

  • Combination of Spark and Vegas viz
  • Spark Notebook

Vegas viz for data visualization

Vegas viz is a MatPlotLib-like library for Scala and Spark. The documentation for this library can be found at https://github.com/vegas-viz/Vegas. Spark does not contain any built-in support for data visualization. Vegas viz provides a convenient mechanism to add visualization to a Spark program written in Scala.

In order to use this library with Spark, let's add the following dependencies to build.sbt:

libraryDependencies ++= Seq(
"org.apache.spark" %% "spark-sql&quot...
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