Original @mourner post. Check it out, it's fantastic.
https://twitter.com/mourner/status/1161654331545923585?s=20 …
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Something that would have helped me early on is to be able to watch what the algorithm does along with the code. That's why I wrote `watcher` to do that in
#rstats: https://github.com/brodieG/watcher Post has flipbooks of this so you can step through at your own pace. 3/npic.twitter.com/ZDuoBRjkDPPrikaži ovu nit -
Even though we can transliterate the
#JS algorithm into#rstats it is slow as hell that way. Stay tuned for Part II in which we vectorize the algorithm. 4/npic.twitter.com/Wfwn3cGJYI
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Special thanks to
@tylermorganwall for#rayrender. It's pretty amazing we can render plausible simulacra of rippling, coruscating water straight from the comfort of our#rstats session. 5/6pic.twitter.com/WJFS6ciwPY
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Bonus, website upgrades! Images can now bleed from the column == narrower text and bigger images. Also, responsive polyptich's, modal zoom boxes, and improved flipbooks. If you enjoy reading this blog please consider R/Ting the lead tweets in support. 6/6pic.twitter.com/UdU9yS7j5Y
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Oh my god. This is the most amazing #rstats blog post I’ve ever seen—just outstanding visualizations and explanations. I’m going to be pointing anyone who asks me here at#rstudioconf about how someone can effectively use 3D in R directly to your post. - Kraj razgovora
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WOW. Cannot
this hard enough.Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi
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Really fantastic visualizations, and thanks a lot for the shout out! Looking forward to part II!
Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi
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Amazing as always
Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi
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