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Interactive Visualizations Using the Julia Package Pluto


The Julia package Pluto makes it easy to write “reactive notebooks” that intersperse code with text, figures, and interactive elements.

They have been used for teaching, blog posts and data analysis reports.

Below we present some interactive Pluto notebooks developed by UTHSC researchers.  At the moment they are hosted on Binder and may take a couple of minutes to load (please be patient).

  1. How the L1 penalty achieves sparsity
  2. How the proximal operator works
  3. How power depends on effect size, sample size, and the desired false positive rate