Book Image

R Data Science Essentials

Book Image

R Data Science Essentials

Overview of this book

With organizations increasingly embedding data science across their enterprise and with management becoming more data-driven it is an urgent requirement for analysts and managers to understand the key concept of data science. The data science concepts discussed in this book will help you make key decisions and solve the complex problems you will inevitably face in this new world. R Data Science Essentials will introduce you to various important concepts in the field of data science using R. We start by reading data from multiple sources, then move on to processing the data, extracting hidden patterns, building predictive and forecasting models, building a recommendation engine, and communicating to the user through stunning visualizations and dashboards. By the end of this book, you will have an understanding of some very important techniques in data science, be able to implement them using R, understand and interpret the outcomes, and know how they helps businesses make a decision.
Table of Contents (15 chapters)
R Data Science Essentials
Credits
About the Authors
About the Reviewers
www.PacktPub.com
Preface
Index

Support, confidence, and lift


The support, confidence, and lift are the important parameters to be set that define the output. Based on the business case, we set them accordingly. Let's see them in detail.

Support

Support is an important measure in the process of extracting the association rules. It defines how often a rule is applicable in the dataset. For example, let's consider rule number 23 in the previous session, where we have {sex: "Male," native: "United States"}in lhs and {capital-loss: None} in rhs; here, it has support of "0.5661," which means that the number of transactions containing {sex: "Male", native: "United States", capital-loss: None} is about 56.61% of the total number of transactions.

Generally, the rules with very low support are neglected because they would have occurred mostly by chance, are not significant, and of no interest to the business as the chances of occurrence are very rare and not worth monitoring. However, in rare scenarios, when the number of transactions...