# Give feedback on a package for visualizing univariate distributions before I register it

**URL:** <https://discourse.julialang.org/t/give-feedback-on-a-package-for-visualizing-univariate-distributions-before-i-register-it/83209>\
**Category:** Statistics\
**Created:** [June 22, 2022, 10:07pm UTC](https://discourse.julialang.org/t/give-feedback-on-a-package-for-visualizing-univariate-distributions-before-i-register-it/83209 "2022-06-22T22:07:37Z")\
**Posts on this page:** 1\
**Page:** 1

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**Author:** ![nsajko](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/nsajko/32/221187_2.png) [@nsajko](https://discourse.julialang.org/u/nsajko)\
**Post date:** [June 22, 2022, 10:07pm UTC](https://discourse.julialang.org/t/give-feedback-on-a-package-for-visualizing-univariate-distributions-before-i-register-it/83209/1 "2022-06-22T22:07:37Z")

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I wanted a quick and foolproof way for visualizing univariate distributions using all three of histogram, KDE, ECDF on the same plot.

The package is here: [Neven Sajko / UnivariateProbabilityDistributionVisualizationCalculation.jl · GitLab](https://gitlab.com/nsajko/UnivariateProbabilityDistributionVisualizationCalculation.jl)

I would in particular like feedback on:

1. the terminology in the README (I hope I didn’t say anything wrong or confusing)

2. Weights/multiplicities for input data: adding this concept to seemed like the obvious thing to do, but I haven’t encountered it before. Does this have a (some other) name? Are there any conceptual issues with this I should be aware of? See the README for an explanation.

3. My functions take inverse bandwidth (`1 / bandwidth`) for KDE, instead of the bandwidth. I figured this would be more convenient, but I’d like more opinions on this.

EDIT: to try this out, just clone the Git repo to a local directory and then do `] add /path/to/cloned` in the REPL.