Sometimes it’s better to actually see the influences of the parameters of distributions. This holds true especially for more complex ones. Hence, I build an app that lets you play around with some of the most ubiquitous distributions. We are starting with a bare minimum of two well-known distributions and will successively add more. Please tell me in the comments below, which distribution you would like to see implemented next.

Without further ado, have some fun playing with distributions, you guys.

29. Nov 2019

  • added Gamma distributions

28. Nov 2019

  • starting with Gaussian and Laplace distribution

About the app

The app is written in Python and using the streamlit framework for the interactive components. Matplotlib is used for plotting the graphics and descriptions are downloaded directly from wikipedia using the corresponding public API. The main feature of the app is its ability to implement other distributons fast without having to fiddle with lists and views. It is a very simple and efficient setup using decorators. All of the resources and source codes are available in the /streamlit-app folder for members.

If you like it, leave a comment and tell your friends. Also, if you can’t help yourself, head over to my steady page and consider supporting my work which would be awesome!