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Advanced Analytics with R and Tableau

You're reading from   Advanced Analytics with R and Tableau Advanced analytics using data classification, unsupervised learning and data visualization

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Product type Paperback
Published in Aug 2017
Publisher Packt
ISBN-13 9781786460110
Length 178 pages
Edition 1st Edition
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Authors (3):
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Roberto Rösler Roberto Rösler
Author Profile Icon Roberto Rösler
Roberto Rösler
Ruben Oliva Ramos Ruben Oliva Ramos
Author Profile Icon Ruben Oliva Ramos
Ruben Oliva Ramos
Jen Stirrup Jen Stirrup
Author Profile Icon Jen Stirrup
Jen Stirrup
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Table of Contents (10) Chapters Close

Preface 1. Advanced Analytics with R and Tableau FREE CHAPTER 2. The Power of R 3. A Methodology for Advanced Analytics Using Tableau and R 4. Prediction with R and Tableau Using Regression 5. Classifying Data with Tableau 6. Advanced Analytics Using Clustering 7. Advanced Analytics with Unsupervised Learning 8. Interpreting Your Results for Your Audience 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...

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