One of the creators of R2D3 here. Funny to wake up to this today! Happy to answer questions here or on bsky
reader9274 27 days ago [-]
Any plans for more articles, 10 years later?
Genbox 27 days ago [-]
If I would like to build a visualization like this, but for a data ingestion pipeline, any tips on where to start?
I have it visually in my head, but it feels overwhelming getting it into a website.
avabuildsdata 27 days ago [-]
fwiw I work on data ingestion pipelines and I've found that starting with just boxes-and-arrows in something like Excalidraw gets you 80% of the way to knowing what you actually want. The gap between "I can picture it" and "I can build it on a webpage" is mostly a d3 learning curve problem, not a design problem.
xyflow that the creator mentioned is probably the right call for pipeline DAGs though -- we use it internally for visualizing our scraping workflows and it was surprisingly painless to get running
- A previous comment by me about my list of absolutely gorgeous, interactive, animated, high dynamic learning resources classified as S TIER
- S-TIER blogs are those that are animated, visual, interactive and absolutely blow your mind off
- A-TIER are highly informative and you ll learn something
- opinion blogs at the absolute bottom of the tier list because everyone everywhere ll always have an opinion about everything and my life is too short to be reading all that
- these are the BEST of the BEST, you ll be blown away opening each page is how good they are. i am thinking of creating a bookmark manager that uses my criteria above and runs across every damn blog link ever posted on HN to categorize them as S-TIER, A-TIER, opinion and so on
1wheel 27 days ago [-]
https://visxai.io/ has a bunch more too — see the Hall of Fame section at the bottom for some of the highlights.
I also made a dozen of these a couple years ago, my two favorites:
This is from 2015. Both technically and conceptually it was ahead of its time.
mdp2021 28 days ago [-]
It's a pity there seems not to be new (or other) material from Tony Hschu and Stephanie Jyee.
(Or can anybody find something more?)
smaili__ 28 days ago [-]
So amazing, wish there were more articles like this. I love visual learning.
Also reminds me of another blog post: https://pomb.us/build-your-own-react/ , probably not directly the same, but similar-ish written blog posts, easy to stay on track and follow. It is so easy to learn with this kind of blog post.
xpe 27 days ago [-]
The balls-from-the-sky sieve-style animation* showing classifications literally falling out of the decision tree is my favorite part. I haven't seen this anywhere else (yet); this visualization technique deserves more percolation (pun intended). (#1)
Not even to mention the fact that the animation is controlled by scrolling, which gives an intuitive control over play, pause, rewind, fast-forward, etc. Elegant and brilliant. (#2)
Stunningly good also in the sense that it advances the story so people don't just drool at the pretty animation and stop engaging. Thus putting the "dark arts" in the service of learning. (#3)
All three ideas warrant emulation in other contexts!
* Find it towards the bottom under the "Making predictions" heading.
jazzpush2 27 days ago [-]
Amazing. A very cool niche area, dataviz x ai/ml. See also:
- mlu-explain.github.io
- visxai.io
- google PAIR's explorables
- GA Tech's poloclub.
shardullavekar 28 days ago [-]
has anyone come across an r2d3-style explainer for something as high-dimensional as a Transformer's attention mechanism?
R2D3 did an amazing job here. It’s rare to see statistical learning concepts explained visually this clearly.
user_7832 26 days ago [-]
Why the sudden rise in bot comments here? This comment is almost identical to another one in the thread (https://news.ycombinator.com/item?id=47392556), both by new, LLM using accounts.
Did they not have mobile responsive sites in 2015? Lol
1wheel 27 days ago [-]
2015 was about the last year you could get away with publishing an interactive graphic with a fixed width — this made it harder do really creative/original work.
AlexDunit 27 days ago [-]
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davispeck 27 days ago [-]
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planerde 28 days ago [-]
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longtermemory 28 days ago [-]
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anesxvito 27 days ago [-]
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3abiton 27 days ago [-]
3blue1brown has amazing content. Actually he had his own visual language.
anesxvito 27 days ago [-]
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pajamasam 27 days ago [-]
Oh, I'm sure you have, mr bot
3abiton 27 days ago [-]
His latest transformers videos are extremely well done. I would start there.
Jhater 28 days ago [-]
Josh Starmers books are very visual as well, probably the best source I'd recommend to learn ML
There is a collection of a few more here: https://p.migdal.pl/interactive-machine-learning-list/
Added an entry for my data visualisation tool here: https://github.com/stared/interactive-machine-learning-list/....
Edit: found an updated link for seeing theory so I fixed it in the PR above. Feel free to cherry-pick if #24 is not relevant.
I have it visually in my head, but it feels overwhelming getting it into a website.
xyflow that the creator mentioned is probably the right call for pipeline DAGs though -- we use it internally for visualizing our scraping workflows and it was surprisingly painless to get running
- S-TIER blogs are those that are animated, visual, interactive and absolutely blow your mind off
- A-TIER are highly informative and you ll learn something
- opinion blogs at the absolute bottom of the tier list because everyone everywhere ll always have an opinion about everything and my life is too short to be reading all that
- these are the S-TIER ones on my system
- https://growingswe.com/blog
- https://ciechanow.ski/archives/
- https://mlu-explain.github.io/
- https://seeing-theory.brown.edu/index.html#firstPage
- https://svg-tutorial.com/
- https://www.lumafield.com/scan-of-the-month/health-wearables
- these are the BEST of the BEST, you ll be blown away opening each page is how good they are. i am thinking of creating a bookmark manager that uses my criteria above and runs across every damn blog link ever posted on HN to categorize them as S-TIER, A-TIER, opinion and so on
I also made a dozen of these a couple years ago, my two favorites:
- https://pair.withgoogle.com/explorables/fill-in-the-blank/
- https://pair.withgoogle.com/explorables/grokking/
(Or can anybody find something more?)
Not even to mention the fact that the animation is controlled by scrolling, which gives an intuitive control over play, pause, rewind, fast-forward, etc. Elegant and brilliant. (#2)
Stunningly good also in the sense that it advances the story so people don't just drool at the pretty animation and stop engaging. Thus putting the "dark arts" in the service of learning. (#3)
All three ideas warrant emulation in other contexts!
* Find it towards the bottom under the "Making predictions" heading.
- mlu-explain.github.io
- visxai.io
- google PAIR's explorables
- GA Tech's poloclub.
https://poloclub.github.io/transformer-explainer/
https://youtu.be/wjZofJX0v4M?si=gT8Zlz1IY14KV_ju
https://www.youtube.com/c/joshstarmer https://statquest.org/