[Pycon] [new paper] "Davide Poggiali" - Robust and charming dataviz with RainCloud Plots

[info a pycon.it]

Title: Robust and charming dataviz with RainCloud Plots
Duration: 45 (includes Q&A)
Q&A Session: 15
Language: it
Type: Talk

Abstract: **You did it**. After hunting, cleaning, cooking and chewing your ton of data you have just completed your project! 
Now it's time to produce some nice graphs to present your data.
And here comes the struggle.
You soon realise that barplots have a few to tell, scatterplots don't let you see the big picture, histograms hide the exact median and mean. You try Violin Plots because you saw [that xkcd comic][1], but you still have the sense that something is missing.

It's time to use [RainClouds][2]! RainCloud Plot is a [multilanguage][3], easy-to-use package for categorical plotting. RainClouds are transparent, informative and robust. Plus, it's good looking. 

In this talk I will focus on [PtitPrince][4] (RainCloud for Python), giving informative examples, comparing RainClouds with widely-used plots, and explaining custom options. 
Finally, I will talk about how this project was [born][5].

  [1]: https://xkcd.com/1967/
  [2]: https://peerj.com/preprints/27137v1/
  [3]: https://github.com/RainCloudPlots/RainCloudPlots
  [4]: https://github.com/pog87/PtitPrince
  [5]: https://twitter.com/neuroconscience/status/1032975850143195138


Tags: [u'data-visualization', u'seaborn', u'data-analysis', u'data', u'matplotlib', u'pandas']