There’s another thing I don’t like about these standard datasets, however, and that’s that they are missed opportunities

There’s another thing I don’t like about these standard datasets, however, and that’s that they are missed opportunities. If I’m displaying a new graph layout algorithm or a new visual analysis platform, it doesn’t really matter what data I use to illustrate it in the paper figures, so long as it’s sufficiently complex and “realistic” that it looks like my system does what it’s supposed to. That means that I have an opportunity to use that visual real estate to show something that I (and perhaps also you) care about. Why waste that space on something trivial? — https://medium.com/multiple-views-visualization-research-explained/doing-more-with-sample-datasets-d9ea622cecd7?source=rss—-304d1be73000—4
    Next → → One point of discussion that researchers across many different strands of visualization researchers agreed upon was the visualization research is not as visible as it should be to the many people designing, critiquing, and otherwise using visualization in the world https://medium.com/multiple-views-visualization-research-explained/why-we-should-be-talking-about-visualization-research-4d28a2032de3?source=rss—-304d ← Previous → As impressive as the fruits of innovation have been, the pace of change seems relentless and, at times, almost mindlessly linear https://jfsdigital.org/2018/11/12/the-limits-of-innovation-high-techs-diminishing-returns/
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