Analyzing Weather Data from an Arduino-based weather station

Analyze data from a weather station connected to ThingSpeak
Updated 2 Oct 2019

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This example illustrates how to analyze data from a weather station connected to ThingSpeak, an IoT analytics platform. The data is visualized and analyzed in MATLAB. The example shows how to visualize wind speed and direction, calculate and plot dew point, and verify pressure trends. It also demonstrates some techniques to remove outlier data and fill in missing data.
If using MATLAB versions R2014b through R2018b, this example requires the user to first install the MATLAB Support for ThingSpeak which is available here:
If using R2019a or higher, there is no need to download the ThingSpeak support as the needed functions are built-in to MATLAB.
For more information on IoT andThingSpeak, see the following resource pages:

Cite As

MathWorks Internet of Things Team (2024). Analyzing Weather Data from an Arduino-based weather station (, MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2019b
Compatible with R2014b and later releases
Platform Compatibility
Windows macOS Linux
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Version Published Release Notes

Updated for compatibility with R2019b


Re-uploaded file.


Updated code to use latest version of thingSpeakRead. Updated plotting code to use yyaxis instead of plotyy.

Updated license
Updated description.

Added new resource link in description.

Updated description text.

Updated File for initial release.