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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

Introducing brief data visualization


Data visualization is designed to present data in a graphical style. We can obtain more insight data from the data visualization result. For instance, we have temperature data from sensor measurements, as depicted in the following table. Sensor Data-Temperature is a value from the temperature sensor device:

No

Sensor Data-Temperature

1

20

2

21

3

22

4

23

5

24

6

24

7

25

8

25

9

26

10

27

11

28

12

27

13

27

14

26

15

24

16

23

17

22

18

21

19

20

20

19

We can see the temperature value at a certain hour. From this data, we can visualize the graph, as shown in the following image:

Comparing visualizing data in the table to the graph seems to show that we can get more insight if we present our data in the form of graphs. In this chapter, we will focus on how to visualize sensor data in a graphical format.

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