Associations and Correlations
Discover the story of your data using the essential elements of associations and correlations

  • Get a comprehensive introduction to associations and correlations
  • Explore multivariate analysis, understand its limitations, and discover the assumptions on which it’s based
  • Gain insights into the various ways of preparing your data for analysis and visualization

Associations and correlations are ways of describing how a pair of variables change together as a result of their connection. By knowing the various available techniques, you can easily and accurately discover and visualize the relationships in your data.

This book begins by showing you how to classify your data into the four distinct types that you are likely to have in your dataset. Then, with easy-to-understand examples, you’ll learn when to use the various univariate and multivariate statistical tests. You’ll also discover what to do when your univariate and multivariate results do not match. As the book progresses, it describes why univariate and multivariate techniques should be used as a tag team, and also introduces you to the techniques of visualizing the story of your data.

By the end of the book, you’ll know exactly how to select the most appropriate univariate and multivariate tests, and be able to use a single strategic framework to discover the true story of your data.

  • Identify a dataset that’s fit for analysis using its basic features
  • Understand the importance of associations and correlations
  • Use multivariate and univariate statistical tests to confirm relationships
  • Classify data as qualitative or quantitative and then into the four subtypes
  • Build a visual representation of all the relationships in the dataset
  • Automate associations and correlations with CorrelViz

This is a book for beginners – if you’re a novice data analyst or data scientist, then this is a great place to start. Experienced data analysts might also find value in this title, as it will recap the basics and strengthen your understanding of key concepts. This book focuses on introducing the essential elements of association and correlation analysis.

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Associations and Correlations
Discover the story of your data using the essential elements of associations and correlations

  • Get a comprehensive introduction to associations and correlations
  • Explore multivariate analysis, understand its limitations, and discover the assumptions on which it’s based
  • Gain insights into the various ways of preparing your data for analysis and visualization

Associations and correlations are ways of describing how a pair of variables change together as a result of their connection. By knowing the various available techniques, you can easily and accurately discover and visualize the relationships in your data.

This book begins by showing you how to classify your data into the four distinct types that you are likely to have in your dataset. Then, with easy-to-understand examples, you’ll learn when to use the various univariate and multivariate statistical tests. You’ll also discover what to do when your univariate and multivariate results do not match. As the book progresses, it describes why univariate and multivariate techniques should be used as a tag team, and also introduces you to the techniques of visualizing the story of your data.

By the end of the book, you’ll know exactly how to select the most appropriate univariate and multivariate tests, and be able to use a single strategic framework to discover the true story of your data.

  • Identify a dataset that’s fit for analysis using its basic features
  • Understand the importance of associations and correlations
  • Use multivariate and univariate statistical tests to confirm relationships
  • Classify data as qualitative or quantitative and then into the four subtypes
  • Build a visual representation of all the relationships in the dataset
  • Automate associations and correlations with CorrelViz

This is a book for beginners – if you’re a novice data analyst or data scientist, then this is a great place to start. Experienced data analysts might also find value in this title, as it will recap the basics and strengthen your understanding of key concepts. This book focuses on introducing the essential elements of association and correlation analysis.

29.99 In Stock
Associations and Correlations

Associations and Correlations

by Lee Baker
Associations and Correlations

Associations and Correlations

by Lee Baker

Paperback

$29.99 
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Overview

Discover the story of your data using the essential elements of associations and correlations

  • Get a comprehensive introduction to associations and correlations
  • Explore multivariate analysis, understand its limitations, and discover the assumptions on which it’s based
  • Gain insights into the various ways of preparing your data for analysis and visualization

Associations and correlations are ways of describing how a pair of variables change together as a result of their connection. By knowing the various available techniques, you can easily and accurately discover and visualize the relationships in your data.

This book begins by showing you how to classify your data into the four distinct types that you are likely to have in your dataset. Then, with easy-to-understand examples, you’ll learn when to use the various univariate and multivariate statistical tests. You’ll also discover what to do when your univariate and multivariate results do not match. As the book progresses, it describes why univariate and multivariate techniques should be used as a tag team, and also introduces you to the techniques of visualizing the story of your data.

By the end of the book, you’ll know exactly how to select the most appropriate univariate and multivariate tests, and be able to use a single strategic framework to discover the true story of your data.

  • Identify a dataset that’s fit for analysis using its basic features
  • Understand the importance of associations and correlations
  • Use multivariate and univariate statistical tests to confirm relationships
  • Classify data as qualitative or quantitative and then into the four subtypes
  • Build a visual representation of all the relationships in the dataset
  • Automate associations and correlations with CorrelViz

This is a book for beginners – if you’re a novice data analyst or data scientist, then this is a great place to start. Experienced data analysts might also find value in this title, as it will recap the basics and strengthen your understanding of key concepts. This book focuses on introducing the essential elements of association and correlation analysis.


Product Details

ISBN-13: 9781838980412
Publisher: Packt Publishing
Publication date: 06/28/2019
Pages: 134
Product dimensions: 7.50(w) x 9.25(h) x 0.29(d)

About the Author

Lee Baker is an award-winning software creator with a passion for turning data into a story. A proud Yorkshireman, he now lives by the sparkling shores of the East Coast of Scotland. A physicist, statistician, and programmer, and the child of the flower-power psychedelic ‘60s, it’s amazing he turned out so normal! Turning his back on a promising academic career to do something more satisfying, as the CEO and co-founder of Chi-Squared Innovations, he now works double the hours for half the pay and 10 times the stress – but 100 times the fun!

Table of Contents

Table of Contents
  1. Data Collection and Cleaning
  2. Data Classification
  3. Introduction to Associations and Correlations
  4. Univariate Statistics
  5. Multivariate Statistics
  6. Visualizing Your Relationships
  7. Bonus: Automating Associations and Correlations
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