Scalable IoT data collection

Hi everyone,

I need someone to assist me toward simulating real-time IoT data collection using ThinkSpeak on online kaggle datasets

Answer 1

[Sivsankar]

Hi @Sunday Adeola,

So, ThingSpeak is an IoT analytics service that allows you to aggregate, visualize, and analyze live data streams in the cloud. ThingSpeak provides instant visualizations of data posted by your devices to ThingSpeak. With the ability to execute MATLAB code in ThingSpeak, you can perform online analysis and process data as it comes in.

https://www.mathworks.com/help/thingspeak/analyze-your-data.html

You can leverage the above documentation on how to analyse data and simulate it. But the above example uses datasets from ThingSpeak channel. Since you wanted to use online Kaggle dataset, you could download that dataset in a CSV format and use them. So, you need not mention the readChId in your code as you are not taking the values from a ThingSpeak channel.

Therefore, you could bring about the following edits to the code present in the documentation:

data = readtable('kaggle_dataset.csv');          %Update the path to your dataset
temperature = data.Temperature;
humidity = data.Humidity;

%Simulate data from kaggle
response = thingSpeakWrite(writeChId , 'Fields', [1, 2], 'Values', [temperature, humidity], 'WriteKey', writeAPIKey);

I hope by now you’ve gotten a gist of how to simulate a real-time online Kaggle dataset using ThingSpeak.

Thank you.