You can process channel data to find statistically significant results. For example, you can retrieve financial data for analysis, and use filtering to uncover signals of interest.
This example shows how to find the mean of data in a ThingSpeak™ channel while ignoring the NaN values.
This example shows how to perform basic peak analysis of data in your ThingSpeak™ channel.
Identify irregularly sampled data in a ThingSpeak™ channel.
Update timestamps of data in a ThingSpeak™ channel to remove irregularity.
This example shows how to detect and remove outliers in your ThingSpeak™ channel data using a Hampel filter.