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Presentation . 2020
License: CC BY
Data sources: Datacite
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ZENODO
Other literature type . 2020
License: CC BY
Data sources: ZENODO
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ZENODO
Presentation . 2020
License: CC BY
Data sources: Datacite
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Interactive plots and the spectrum of data visualization

descriptionPublicationkeyboard_double_arrow_right Presentation , Other literature type 24 Jan 2020Publisher:Zenodo
Authors: Karakuzu, Agah;

doi: 10.5281/zenodo.3626745 , 10.5281/zenodo.3841775 , 10.5281/zenodo.3626744

Interactive plots and the spectrum of data visualization

Abstract

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.

Related Organizations
Keywords

Data visualization, interactive figures, plotly, dash, dashboards, data art, interactive experience, reproducibility, open science, open source

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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