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by Raheel Zubairy | Updated May 17, 2018 - Published April 30, 2018
CloudData managementIoTWeb development
Archived date: 2019-05-21
IoT devices often create a lot of data in a short period of time. The IBM Watson IoT Platform offers great extensions for storing the data directly in a database on your IBM Cloud. After you stored your IoT data in a database, you can create an application to analyze and view your data through various plots or graphs.
Companies are continuously looking for ways to analyze the massive amounts of data generated by IoT devices. Stakeholders for IoT devices would like to view trends in the data to see the value increasing (or decreasing) over time. Additionally, stakeholders need to be able to view any patterns in the data like higher values on certain periods of time and to view any anomalies in data.
In this code pattern, you will create an application to view plots and trends of IoT device data. These plots can help the data scientist to decipher the IoT data and discover insights into the behavior of the IoT devices across time. The plots include viewing device data for a single day and across days, viewing hourly stats and trends, comparing device stats across days, and viewing correlations among device fields. The application uses plotly.js for creating interactive plots that can be enhanced, saved, and updated by the user.
When the reader has completed this code pattern, they will understand how to:
Find the detailed steps for this pattern in the README. The steps show you how to:
May 16, 2019
API ManagementArtificial intelligence+
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