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.
publication date
2019-06-28
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
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
approach
This book is written with a focus on understanding data, choosing the right ways to analyze it, selecting the correct statistical tools, and interpreting the results in an easy-to-understand way. This book enables you to understand and critically evaluate the results of analyses, and is packed with visually intuitive examples and realistic use cases, making it perfect for beginners.
audience
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.
short description
Through this book, you’ll learn why most statistical techniques give incorrect results and what you can do to avoid the most common pitfalls. You’ll learn how to make sure you get the correct results the first time, every time.
subtitle
Unearth the powerful insights buried in your data
keywords
Associations, correlations, visualizations, analysis, data collection, multivariate analyses, Causation, survival analysis, Univariate analyses, CorrelViz
Product ISBN
9781838980412
