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Learning AWS IoT

You're reading from   Learning AWS IoT Effectively manage connected devices on the AWS cloud using services such as AWS Greengrass, AWS button, predictive analytics and machine learning

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Product type Paperback
Published in Jan 2018
Publisher Packt
ISBN-13 9781788396110
Length 278 pages
Edition 1st Edition
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Author (1):
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Agus Kurniawan Agus Kurniawan
Author Profile Icon Agus Kurniawan
Agus Kurniawan
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Table of Contents (10) Chapters Close

Preface 1. Getting Started with AWS IoT 2. Connecting IoT Devices to AWS IoT Platform FREE CHAPTER 3. Optimizing IoT Computing Using AWS Greengrass 4. Building Local AWS Lambda with AWS Greengrass 5. Expanding IoT Capabilities with AWS IoT Button 6. Visualizing AWS IoT Data 7. Building Predictive Analytics for AWS IoT 8. Securing AWS IoT 9. Other Books You May Enjoy

Data visualization in the web

Most people use web applications to perform their business or to present their data to customers. There are a lot of web application frameworks that we can use to develop. Corresponding to IoT data, we can apply web applications to visualize our data.

In this section, we will review some JavaScript frameworks to visualize IoT data. I will not review all the frameworks but I will start with three JavaScript frameworks in order to inspire you to use data visualization.

Data-Driven Documents (D3)

D3.js is a JavaScript library for manipulating documents based on data. D3.js has a large number of community members. It supports HTML, SVG, and CSS. Officially, you can get more information about D3.js...

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