Associations and Correlations
Unearth the powerful insights buried in your data
Nonfiction, Computers, Database Management, Data Processing, General Computing
| Author: | Lee Baker | ISBN: | 9781838982201 |
| Publisher: | Packt Publishing | Publication: | June 28, 2019 |
| Imprint: | Packt Publishing | Language: | English |
| Author: | Lee Baker |
| ISBN: | 9781838982201 |
| Publisher: | Packt Publishing |
| Publication: | June 28, 2019 |
| Imprint: | Packt Publishing |
| Language: | English |
Discover the story of your data using the essential elements of associations and correlations
Key Features
- 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
Book 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.
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
Who this book is 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.
Discover the story of your data using the essential elements of associations and correlations
Key Features
- 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
Book 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.
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
Who this book is 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.
