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

Business cases


Having learnt about affinity analysis and sequence analysis, let's see the business cases across different domains where these techniques can be of use:

  • In an online music playing website, we can understand about the sequence in which the users listen to the music where there is no automatic/shuffle

  • In retail shops, we can understand the sequence in which the customer picks up the items and all the various items that the customer tends to buy together as well

  • We can even understand about the career path of the individuals based on their career data from websites such as LinkedIn