Presentation Open Access

Interactive plots and the spectrum of data visualization

Agah Karakuzu

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<oai_dc:dc xmlns:dc="" xmlns:oai_dc="" xmlns:xsi="" xsi:schemaLocation="">
  <dc:creator>Agah Karakuzu</dc:creator>
  <dc:description>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. </dc:description>
  <dc:subject>Data visualization, interactive figures, plotly, dash, dashboards, data art, interactive experience, reproducibility, open science, open source</dc:subject>
  <dc:title>Interactive plots and the spectrum of data visualization</dc:title>
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