I am trying to use Edge impulse UI for data different to audio or accellerometer. In my case from the raw data plot I cannot tell where I have actual signal and where I have just background. So for spitting the data I would require different type of visualization, or I would need to split the samples after custom preprocessing.
Please note that the visualizations in the UI are mainly set up for accelerometer, audio, and image data. The accelerometer plots can be used for nearly any time-series data, but they were originally configured for accelerometer data.
If the Edge Impulse UI plots do not help with visualizing your data, I might recommend finding another tool, such as Excel or Python with matplotlib (https://matplotlib.org/). Personally, I am a big fan of using Google Colab (https://research.google.com/colaboratory/) to curate, analyze, and plot my raw datasets before bringing them into Edge Impulse.
One thing I particularly like about edge impulse is the ability to record and partition the dtaa through the webinterface … sure one can do that offline …
One could add custom visualization in the same way as custom procesing blocks by hooking in some http callbacks.