 Someone was actually asking about the bland Altman plot. So we have these two jets. One of them should have an example. Yeah, there's an example there. So I generated it in like two seconds in a Python with the code and everything. The code works obviously locally as well. Which is great. So I can reproduce the example and I can actually use my own data for it as well. So that's the code. You can add more data there. You can run it locally. Yeah, and it's creating this bland Altman plot, which is difference between two measurements versus average of two measurements. So yes, in this case, when I have those extra ones there, yes, the average between 110 and 120 is 115. And the difference between the measurements is minus 10. So it's putting another dot over here. So it's working as expected. I was thinking doing something more interesting with it. Well, first of all is a potential bland Altman plot in EEG blah blah blah. So yeah, when we're comparing two different EEG channels in the same recording. So let me know what you think of that. And we can turn it into another web application that will look something similar to this EEG noise removal, except you will choose two channels and we'll show you the bland Altman plot as a comparison between two channels. We actually have a tool like that already, which is actually using cross coherence function. Yes, we can improve on this interface quite a bit. Yeah, coherence is cross correlation and frequency domain between two channels. So you select your two channels and it will show you the cross coherence between them. We know if you had the chance to look at the website as well, because I'm open for any feedback. So yeah, so we might later turn this into a web application, a flask web application as well. But for now, let's stick to what we were doing last time. And that's this spectrogram.