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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

Product type Paperback

Published in Aug 2017

Publisher Packt

ISBN-13 9781786460110

Length 178 pages

Edition 1st Edition

Languages

R

Tools

Tableau

Concepts

Business Intelligence

Authors (3):

Roberto Rösler

Ruben Oliva Ramos

Jen Stirrup

View More author details

Table of Contents (10) Chapters

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

Building your own decision system-based IoT

In this section, we build a simple decision system using fuzzy logic on Raspberry Pi. We use Python for implementation. We build a system to monitor temperature and humidity in a room to decide if the environment is comfortable or not. If the environment is not comfortable, then we turn on a cooler machine.

The following is our design system:

Wiring

We use DHT22 and relay modules for our wiring. Connect the DHT22 module into the following connections:

DHT22 pin 1 (VDD) is connected to the 3.3V pin from Raspberry Pi
DHT22 pin 2 (SIG) is connected to the GPIO23 (see the BCM column) pin from Raspberry Pi
DHT22 pin 4 (GND) is connected to the GND pin from Raspberry Pi
A relay VCC is connected to the 3.3V pin from Raspberry Pi
A relay GND is connected to the GND pin from Raspberry Pi
A relay signal is connected to the GPIO26 (see the BCM column) pin from Raspberry Pi

The complete wiring is shown in the following figure:

Writing the program

We build a fuzzy logic...

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Authors (3)

Roberto Rösler

Roberto Rösler

See other products by Roberto Rösler

Jen Stirrup

Jen Stirrup

Jen Stirrup is a data strategist and technologist, a Microsoft Most Valuable Professional (MVP), and a Microsoft Regional Director, a tech community advocate, a public speaker and blogger, a published author, and a keynote speaker. Jen is the founder of a boutique consultancy based in the UK, Data Relish, which focuses on delivering successful business intelligence and artificial intelligence solutions that add real value to customers worldwide. She has featured on the BBC as a guest expert on topics relating to data.

See other products by Jen Stirrup

Ruben Oliva Ramos

Ruben Oliva Ramos

Ruben Oliva Ramos is a computer systems engineer from Tecnologico de Leon Institute, with a master's degree in computer and electronic systems engineering and a specialization in teleinformatics and networking from the University of Salle Bajio in Leon, Guanajuato, Mexico. He has more than 5 years of experience of developing web applications to control and monitor devices connected with Arduino and Raspberry Pi, using web frameworks and cloud services to build the Internet of Things applications. He is a mechatronics teacher at the University of Salle Bajio and teaches students of the master's degree in design and engineering of mechatronics systems. Ruben also works at Centro de Bachillerato Tecnologico Industrial 225 teaching subjects such as electronics, robotics and control, automation, and microcontrollers. He is a consultant and developer for projects in areas such as monitoring systems and datalogger data using technologies (such as Android, iOS, HTML5, and ASP.NET), databases (such as SQlite, MongoDB, and MySQL), web servers, hardware programming, and control and monitor systems for data acquisition and programming.

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