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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

Scala case classes and the collection API

Scala case classes and its collection API play a significant role in data analysis using Scala. This section will give you insight into these topics and an understanding of their relevance in the context of data analysis.

During the data analysis process, we will frequently encounter data that consists of a collection of records. These records often need to be transformed, cleaned, or filtered.

Scala case classes

Scala case classes provide a convenient mechanism to work with objects that hold values. Let's look at an example in Scala REPL. The case class defined in the following code will be used in other example codes in this chapter:

scala> case class Person(fname: String...
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