Book Image

Advanced Analytics with R and Tableau

By : Ruben Oliva Ramos, Jen Stirrup, Roberto Rösler
Book Image

Advanced Analytics with R and Tableau

By: Ruben Oliva Ramos, Jen Stirrup, Roberto Rösler

Overview of this book

Tableau and R offer accessible analytics by allowing a combination of easy-to-use data visualization along with industry-standard, robust statistical computation. Moving from data visualization into deeper, more advanced analytics? This book will intensify data skills for data viz-savvy users who want to move into analytics and data science in order to enhance their businesses by harnessing the analytical power of R and the stunning visualization capabilities of Tableau. Readers will come across a wide range of machine learning algorithms and learn how descriptive, prescriptive, predictive, and visually appealing analytical solutions can be designed with R and Tableau. In order to maximize learning, hands-on examples will ease the transition from being a data-savvy user to a data analyst using sound statistical tools to perform advanced analytics. By the end of this book, you will get to grips with advanced calculations in R and Tableau for analytics and prediction with the help of use cases and hands-on examples.
Table of Contents (16 chapters)
Advanced Analytics with R and Tableau
Credits
About the Authors
About the Reviewers
www.PacktPub.com
Customer Feedback
Preface
Index

Integrating a decision system and IoT project


IoT boards help us to perform sensing and actuating. To build a decision system with IoT boards, we can use a sensing process on IoT boards as input parameters for our decision system. After performing decision computing, we can make some actions through actuating on IoT boards.

In general, we can integrate our decision system with IoT boards, as shown in the following figure:

Several sensor devices can be attached to the IoT board that is used for sensing. Depending on what you need; you can gather environmental data, such as temperature, as digital inputs that will be used for our decision system. You can see samples of sensor devices in the following figure:

Several actuator devices can be used in our decision system. Each final output from a system can be mapped into an action. This action can be represented as turning on an actuator device.

Some systems may not do sensing on their environment to gather input data. We can obtain data from a database...