Seattle, WA
Joined September 2013
- Tweets516
- Following276
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Interactive Data Lab retweeted
Mosaic is the future of data visualization. 10M cross-filtered rows with client-side processing. Powered by @duckdb
Interactive Data Lab retweeted
Chaining LLM calls can improve output quality, but navigating the massive space of task decompositions is challenging. Revisiting the established field of crowdsourcing, we distill strategies for effective LLM chain design and identify opportunities for future research. [1/11]
Interactive Data Lab retweeted
“Can we get a new text analysis tool?”
“No—we have Topic Model at home”
Topic Model at home: outputs vague keywords; needs constant parameter fiddling🫠
Is there a better way? We introduce LLooM, a concept induction tool to explore text data in terms of interpretable concepts🧵
Interactive Data Lab retweeted
The Vega Project is happy to announce the release of version 5.3.0 of the Vega-Altair Python visualization library. This release has been 4 months in the making and includes enhancements, fixes, and documentation improvements from 11 contributors. Highlights in 🧵
Interactive Data Lab retweeted
Observable Framework 1.3 🆕 integrates @uwdata’s Mosaic vgplot, which can concisely expressive performant coordinated views of millions of data points. observablehq.com/framework/l…
Interactive Data Lab retweeted
Interact with millions of data points in real-time with Mosaic, now with support for geospatial data.
Exploring 1M taxi pickups and dropoffs in NYC:
Interactive Data Lab retweeted
Chaining LLMs together to overcome LLM errors is an emerging, yet challenging, technique. What can we learn from crowdsourcing, which has long dealt with the challenge of decomposing complex work? We delve into this question in our new preprint: arxiv.org/abs/2312.11681 [1/9]
Interactive Data Lab retweeted
Interactive Data Lab retweeted
Really enjoying playing with @uwdata 's Mosaic, linking @duckdb with @observablehq plot feels so natural and responsive - just a joy
Interactive Data Lab retweeted
VisText has been a *ton* of work, and 2 yrs of solid effort. So it's exciting to (finally!) be able to talk about it, and it's gratifying to see it featured on @MIT's homepage.
Lead author, @bennyjtang, has a great thread w/details below 👇
And I wanted to offer a few thoughts
ALT A screenshot of the homepage of mit.edu that features a two column layout: a sidebar on the left hand side (with a search box and links to top resources), and then the main feature on the right hand side. This feature includes an image of a bar chart (where each bar is labeled with one letter from the word "caption"). Underneath the image is text that reads "Researchers have developed a dataset for teaching an AI to write better chart captions, improving accessibility for blind and low-vision individuals. A model trained with this dataset could translate “‘chart language’ to English,” Angie Boggust explains."
Chart captioning is hard, both for humans & AI.
Today, we’re introducing VisText: a benchmark dataset of 12k+ visually-diverse charts w/ rich captions for automatic captioning (w/ @angie_boggust @arvindsatya1)
📄: vis.csail.mit.edu/pubs/viste…
💻: github.com/mitvis/vistext
#ACL2023NLP
ALT A montage of various different bar, line, and area charts across a mix of visual styles to illustrate the diversity of the VisText dataset.
Interactive Data Lab retweeted
Mosaic looks really great! Great to see a viz library thread down to the db level. DuckDB is such a natural choice for something like this.
uwdata.github.io/mosaic/
Interactive Data Lab retweeted
Excited to see the release of Vega-Altair version 5.0!
Thanks so much to all the contributors who made this happen! altair-viz.github.io/
Interactive Data Lab retweeted
Congrats to @tongshuangwu , @huashen218 , @dsweld , @jeffrey_heer & @marcotcr , whose paper, "ScatterShot: Interactive In-context Example Curation for Text Transformation," received an Honorable Mention from IUI '23. Check it out: bit.ly/43jRgcZ
#awardwinning #research
Interactive Data Lab retweeted
If you want to think crisply about live programming interfaces, highly recommend this paper by @qualmist and @jeffrey_heer!
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Interactive Data Lab retweeted
I found this cool blog post by @jeffrey_heer where he makes interactive visualizations of Barnes-Hut approximations of N-body forces.
It can be used to simulate the trajectories of stars in a galaxy as well as force layouts for graphs.
Link: jheer.github.io/barnes-hut/
Interactive Data Lab retweeted
New paper is out now 🎉
Cinematic Techniques in Narrative Visualization — we analyze and discuss techniques from filmmaking, and try to understand when they are (and aren't) useful for data vis
arxiv.org/abs/2301.03109
Done w/ @jeffrey_heer, Hillary Mushkin, & @designinspace
Interactive Data Lab retweeted
Great opportunity for doing a high-impact PhD!
Interested in a PhD pushing the boundaries of data visualization, analysis tools, or scholarly communication? Consider applying to join the Interactive Data Lab! Both @leibatt and @jeffrey_heer are looking to advise new students.
Interactive Data Lab retweeted
ALT Alumni and current members of the UW interactive data lab seated around a table for lunch, with a variety of drinks and food in front of them.
Interactive Data Lab retweeted
How do you explore larger and larger datasets? Lots of interesting responses to this tweet (inc. lots of love for @VisiData). Some of my own thoughts below, particularly as we go from static charts to interactive visualization... xitter.cf/simonw/status/15722853…
