Data Morph: A Cautionary Tale of Summary Statistics - Stefanie Molin (Pycon AU 2024) @PyConAU
Data Morph: A Cautionary Tale of Summary Statistics - Stefanie Molin (Pycon AU 2024)  @PyConAU
Uploaded November 2024 | Updated September 2026, 4 hours ago
(Stefanie Molin) Statistics do not come intuitively to humans; they always try to find simple ways to describe complex things. Given a complex dataset, they may feel tempted to use simple summary statistics like the mean, median, or standard deviation to describe it. However, these numbers are not a replacement for visualizing the distribution.

To illustrate this fact, researchers have generated many datasets that are very different visually, but share the same summary statistics. In this talk, I will discuss *Data Morph*, an open source package that builds on previous research using simulated annealing to perturb an arbitrary input dataset into a variety of shapes, while preserving the mean, standard deviation, and correlation to multiple decimal points. I will showcase how it works, discuss the challenges faced during development, and explore the limitations of this approach.

pretalx.com/pycon-au-2024/talk/3JHULA

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Fri Nov 22 14:30:00 2024 at Door 12 / Goldfields Theatre
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"Data Morph: A Cautionary Tale of Summary Statistics" - Stefanie Molin (Pycon AU 2024)

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