I created PYTHON INTERACTIVE NOTEBOOK in google colaboratory that WORKS WITHOUT INSTALLATION OR CONFIGURATION.
I used it in CORRELATION AND COVARIANCE tutorial video:
https://www.youtube.com/watch?v=VTWq4YUs93Y
In my aproach I focused on gaining better intuition of what value of correaltion actually means on the graph and what you should be carefoul about when visually estimating.
I didn't only present formulas, but also explained why are they look the way they do, and why are they "working".
I also shared the tools in the link below, where you can "play" with the graph. Adjust different parameters and see how the correlation change. You will have a lot of optional accessories that help you to see it in the right way.
There is also a Game attached, where you can guess the correlation on the graph and compare it with actual correlation value showed with all the visual accessories.
I know that i didn't cover absolutelly everything about correlation but i didn't want the video to be to long.
I would be very thankfull if you would share your thoughts and constructive criticism about this video.
Google Colaboratory tools link:
https://colab.research.google.com/github/jakub7535/Correlation_covariance_tutorial/blob/main/correlation_covariance.ipynb
MaxMLgh/Correlation_covariance_tutorial
Interactive tool that allows user to experiment with graph to better understand correlation and covariance. Tool used in YouTube tutorial
Jupyter Notebook