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Pinned Tweet
29 Oct 2021
Thanks to all who joined us for our @ieeevis Seattle satellite! Come meet some of the participants and learn about their work: youtube.com/watch?v=EgBQo5QX…
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17 Oct 2024
With DracoGPT, Will Wang shows how to extract and model visualization design preferences from generative AI systems — enabling new ways to quantify, evaluate, and efficiently reuse LLM-based chart recommendations. #ieeevis idl.uw.edu/papers/dracogpt
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15 Oct 2024
Congratulations to IDL alum @domoritz for winning a VGTC Significant New Researcher award!! A premier honor for early career researchers in visualization!
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Interactive Data Lab retweeted
2 Oct 2024
Mosaic is the future of data visualization. 10M cross-filtered rows with client-side processing. Powered by @duckdb
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Interactive Data Lab retweeted
9 May 2024
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]
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Interactive Data Lab retweeted
18 Apr 2024
“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🧵
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Interactive Data Lab retweeted
4 Apr 2024
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 🧵
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Interactive Data Lab retweeted
14 Mar 2024
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…
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Interactive Data Lab retweeted
27 Feb 2024
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:
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Interactive Data Lab retweeted
21 Dec 2023
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]
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Interactive Data Lab retweeted
11 Dec 2023
As a kid, #UWAllen @uwdata professor & alum Leilani Battle wanted to be a game developer. At @UW, instead of games, she immersed herself in data. She earned the 2023 @ieeevgtc Visualization Significant New Researcher Award for her work. #ThisIsUW #dataviz news.cs.washington.edu/2023/…
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23 Oct 2023
Congrats to IDL co-director Leilani Battle (@leibatt) for the 2023 VGTC Significant New Researcher Award! #IEEEVIS2023 ieeecs-media.computer.org/tc…
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23 Oct 2023
And congrats also to the other Significant New Researcher recipient, UW alum Matt Kay (@mjskay)!
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Interactive Data Lab retweeted
19 Sep 2023
Really enjoying playing with @uwdata 's Mosaic, linking @duckdb with @observablehq plot feels so natural and responsive - just a joy
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Interactive Data Lab retweeted
30 Jun 2023
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."
30 Jun 2023
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.
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Interactive Data Lab retweeted
21 Jun 2023
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/
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21 Jun 2023
New project! Mosaic is a framework for scalable and interoperable visualization that unifies visualization toolkits with scalable visualization methods and query optimizations.
uwdata.github.io/mosaic/what…
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21 Jun 2023
To test Mosaic we developed vgplot, a Mosaic-based grammar of interactive graphics that uses Observable Plot to perform chart rendering. Our initial benchmark studies show order-of-magnitude performance improvements over Vega, VegaFusion, and standard Observable Plot.
ALT Charts of visualization rendering performance, comparing different tools (Vega, VegaFusion, Observable Plot, and Mosaic) and chart types (average bars, linear regression, 2d histograms, area charts, density contours, and hexbins). Mosaic provides superior performance, often by one or more orders of magnitude.
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21 Jun 2023
While Mosaic is still "research grade" software, we think the approach is quite promising. Feel free to share feedback or contribute on GitHub! github.com/uwdata/mosaic
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