Book Image

Analytics for the Internet of Things (IoT)

By : Andrew Minteer
5 (1)
Book Image

Analytics for the Internet of Things (IoT)

5 (1)
By: Andrew Minteer

Overview of this book

We start with the perplexing task of extracting value from huge amounts of barely intelligible data. The data takes a convoluted route just to be on the servers for analysis, but insights can emerge through visualization and statistical modeling techniques. You will learn to extract value from IoT big data using multiple analytic techniques. Next we review how IoT devices generate data and how the information travels over networks. You’ll get to know strategies to collect and store the data to optimize the potential for analytics, and strategies to handle data quality concerns. Cloud resources are a great match for IoT analytics, so Amazon Web Services, Microsoft Azure, and PTC ThingWorx are reviewed in detail next. Geospatial analytics is then introduced as a way to leverage location information. Combining IoT data with environmental data is also discussed as a way to enhance predictive capability. We’ll also review the economics of IoT analytics and you’ll discover ways to optimize business value. By the end of the book, you’ll know how to handle scale for both data storage and analytics, how Apache Spark can be leveraged to handle scalability, and how R and Python can be used for analytic modeling.
Table of Contents (20 chapters)
Title Page
Credits
About the Author
About the Reviewer
www.PacktPub.com
Customer Feedback
Preface

Designing visual analysis for IoT data


We will review some important considerations when designing visual analysis with special attention for IoT data.

Using layout positioning to convey importance

Layout position implies what is important and primary; you should take advantage of this to help communicate more effectively with your audience. In Western cultures, the eye starts in the upper-left position of a view. This is due to years of habit reading from left to right and top to bottom. This is where one's eye goes first by habit. Put the key message here: the answer to your starting point question.

As you travel right and lower in a view, put the visuals (including tables and text) in order of its position in the question tree. This will follow along with eye movement and the audience's thought process:

Recommended layout order when showing multiple visuals in same view

In other cultures, apply the same concept but follow the position order that aligns with reading order. For example, in Pakistan...