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Analytics for the Internet of Things (IoT)

You're reading from   Analytics for the Internet of Things (IoT) Intelligent analytics for your intelligent devices

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Product type Paperback
Published in Jul 2017
Publisher Packt
ISBN-13 9781787120730
Length 378 pages
Edition 1st Edition
Languages
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Author (1):
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Andrew Minteer Andrew Minteer
Author Profile Icon Andrew Minteer
Andrew Minteer
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Table of Contents (14) Chapters Close

Preface 1. Defining IoT Analytics and Challenges FREE CHAPTER 2. IoT Devices and Networking Protocols 3. IoT Analytics for the Cloud 4. Creating an AWS Cloud Analytics Environment 5. Collecting All That Data - Strategies and Techniques 6. Getting to Know Your Data - Exploring IoT Data 7. Decorating Your Data - Adding External Datasets to Innovate 8. Communicating with Others - Visualization and Dashboarding 9. Applying Geospatial Analytics to IoT Data 10. Data Science for IoT Analytics 11. Strategies to Organize Data for Analytics 12. The Economics of IoT Analytics 13. Bringing It All Together

Summing it all up


So, what have you learned so far just by some quick slicing and dicing of the data? You learned that the dataset does not have a complete history for every weather station over the period. We identified that records are probably sent when there is something to report, and there is not a record for every 15 minutes of every day. We found some stations that only report once a month on the 1st day.

We detected a potentially useful pattern with the accumulated level of precipitation over time. An extreme event was identified in the data and was externally verified as an actual occurrence. You learned the statistical distribution of values for each field in the data using R.

The geographical distribution of stations was also explored. You learned that stations are not evenly spaced across the state of Colorado (although not too bad for the range of area covered). We also identified some data values that appear to be acting as an indicator instead of a measurement (-9999, 999.990...

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