Evaluate Sample Replicates with Pearson Correlation and Python!

Discover how to use Pearson correlation and Python to evaluate sample replicates in this tutorial! Using a portable near IR spectrometer from TrinamiX, I'll walk you through the entire process, making complex data analysis simple and accessible. Perfect for scientists, data analysts, and anyone interested in spectroscopy and data science. Don't miss out on this in-depth guide!

[@matheuscastro8668]

Great video man, it’s hard to come by something so easy to follow, keep it up!

[@CJP3]

Thanks bro!!

[@UmrbekMavlanov]

Hello Christopher,
Thank you for teaching me python.
I am a PhD student in food science, mainly work with FTIR and GC-MS data.
I am a three-month years old in python :). And struggling to manage my FTIR/GC-MS data (I work with a lot of data).
It would very helpful for me (hope for others also ) if you make in-depth guides:
1. How to manage/organize data (FTIR, GC-MS- which format is suitable for FTIR/GC-MS data storage)
2. Maybe a GC-MS data analysis project that you would demonstrate how to import data, how to clean/ how to visualize/ how to find peaks (which you already did thought), and so on. I mean a complete real case study.
3. Covering Chemometrics would be amazing which is hard to find in youtube.
4. Random forest/PLS/PLS-D/ASCA?
5. Plot/Scatter plot for publication?
I am just giving ideas it doesn't mean you should do every thing in this list.
You already have created the content which is helping me in my PhD journey!
Good luck!

[@CJP3]

All great suggestions! The hardest part is USUALLY finding open GC-MS data. Once I find some I’ll begin putting some content. If you know of any, don’t hesitate to let me know :) all the best on your PhD journey!! Enjoy the ride