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

Chapter 8. Communicating Data Analysis

The most important step of the data analysis process is the communication of the analysis to the user. It is very essential to customize the reports based on the role and need of the users. All your analysis is worthless if it is not communicated in the right way.

Visualization is a representation of the data in the graphical or pictorial format, which generally attracts the attention of the people. R is a powerful tool not only for the analysis and implementation of machine learning algorithms, but also for the visualization and communication of the analysis through the creation of interactive dashboards.

The data visualization has been adopted by people and organizations across the world as a means to communicate. The most common example is that we understand the performance of a vehicle through its dashboard.

We will cover interesting visualization using the googleVis package and also the creation of an interactive dashboard using R Shiny.

The topics...