awesome-visualization-research
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add DABEST packages and estimationstats.com
Hi,
Just thought I'd share the visualization and analysis packages we developed. We introduce estimation plots, that display the effect size alongside all data points. We also compute 95% confidence intervals via robust nonparametric bootstrap techniques.
Thanks, Joses
My own thinking on this is that we should attempt to keep the libraries section limited to toolkits that start at a lower level and try to build up from there rather than tools that set out to solve a narrow problem within a domain or subdomain. Otherwise, that section risks becoming quite unwieldy. @mathisonian
Thanks for your comment. The package is not low-level general-purpose, but I wouldn't say it solves a narrow problem.
I could shift it to another section: SciViz, Stats and Uncertainty, Visual Forms?
I haven’t seen this style of plots before. Do you have a link to research or evaluation on the underlying idea?
So far we have been keeping the toolkits section relatively general purpose, but I wouldn’t be opposed to adding more structure, R for example has a lot of packages building on academic work that would be nice to include.
On Nov 23, 2018, at 10:06 PM, Joses W. Ho [email protected] wrote:
Thanks for your comment. The package is not low-level general-purpose, but I wouldn't say it solves a narrow problem.
I could shift it to another section: SciViz, Stats and Uncertainty, Visual Forms?
— You are receiving this because you were mentioned. Reply to this email directly, view it on GitHub, or mute the thread.
We've got a preprint which garnered a large amount of attention from all sorts of researchers: sports scientists, ecologists, microbiologists etc. (The manuscript is currently under review.)
Okay thanks @josesho
Let's wait for a peer reviewed citation and then we'll add