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Analytics for the Internet of Things (IoT)

You're reading from  Analytics for the Internet of Things (IoT)

Product type Book
Published in Jul 2017
Publisher Packt
ISBN-13 9781787120730
Pages 378 pages
Edition 1st Edition
Languages
Author (1):
Andrew Minteer Andrew Minteer
Profile icon Andrew Minteer

Table of Contents (20) Chapters

Title Page
Credits
About the Author
About the Reviewer
www.PacktPub.com
Customer Feedback
Preface
Defining IoT Analytics and Challenges IoT Devices and Networking Protocols IoT Analytics for the Cloud Creating an AWS Cloud Analytics Environment Collecting All That Data - Strategies and Techniques Getting to Know Your Data - Exploring IoT Data Decorating Your Data - Adding External Datasets to Innovate Communicating with Others - Visualization and Dashboarding Applying Geospatial Analytics to IoT Data Data Science for IoT Analytics Strategies to Organize Data for Analytics The Economics of IoT Analytics Bringing It All Together

Common mistakes when designing visuals


Charts and dashboards tend to be done as an afterthought to analytics. The interesting work (to the analyst) has already been finished at this point. There is a rush to put together some visuals so one can move on to the next challenge.

The rush to throw together a visual is a mistake in itself, as the first impression your audience, the people at the meeting or the users of your dashboard, will make on the quality of your analytics is determined by what they see first - your visuals. In this chapter, we will use the word audience to refer to both the end users of a dashboard and the viewers of an analytics presentation.

This makes it far more important to get it right than you may think. Analytics for the sake of analytics is pointless. Someone needs to actually use it, for it to have value. For someone to be willing to use it, they must understand it and be engaged by it.

It is easy to design bad visuals; we see examples of it all the time - especially...

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