Presentation Open Access

Interactive plots and the spectrum of data visualization

Agah Karakuzu

If you can print something into a static PDF, it means that you are allowed to share data (at least) on that level. So why hide those data points in scatter plots, for example?

In this presentation, I tried to breakdown the components of a data visualization practice that facilitates the creation of "repeatable" figures.  

Bonus: Useful resources to create eye-candy infographics. 

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Publication date:
January 24, 2020
DOI:
10.5281/zenodo.3841775

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10.5281/zenodo.3841775

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Keyword(s):
Data visualization, interactive figures, plotly, dash, dashboards, data art, interactive experience, reproducibility, open science, open source
License (for files):
Creative Commons Attribution 4.0 International

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Version 2 10.5281/zenodo.3841775 Jan 24, 2020
Version 1 10.5281/zenodo.3626745 Jan 24, 2020
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