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Associations and Correlations
Associations and Correlations

Associations and Correlations: Unearth the powerful insights buried in your data

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Key benefits

  • 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

Description

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.

Who is this book for?

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.

What you will learn

  • 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

Product Details

Country selected
Publication date, Length, Edition, Language, ISBN-13
Publication date : Jun 28, 2019
Length: 134 pages
Edition : 1st
Language : English
ISBN-13 : 9781838982201
Category :
Concepts :

What do you get with eBook?

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Product feature icon Download this book in EPUB and PDF formats
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Product feature icon DRM FREE - Read whenever, wherever and however you want
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Product Details

Publication date : Jun 28, 2019
Length: 134 pages
Edition : 1st
Language : English
ISBN-13 : 9781838982201
Category :
Concepts :

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Table of Contents

7 Chapters
Data Collection and Cleaning Chevron down icon Chevron up icon
Data Classification Chevron down icon Chevron up icon
Introduction to Associations and Correlations Chevron down icon Chevron up icon
Univariate Statistics Chevron down icon Chevron up icon
Multivariate Statistics Chevron down icon Chevron up icon
Visualizing Your Relationships Chevron down icon Chevron up icon
Bonus: Automating Associations and Correlations Chevron down icon Chevron up icon
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