Interactive Data Lab

@uwdata

UW Interactive Data Lab. (Formerly known as the Stanford Vis Group.) Visualization & Data Analysis.

Seattle, WA
Vrijeme pridruživanja: rujan 2013.

Tweetovi

Blokirali ste korisnika/cu @uwdata

Jeste li sigurni da želite vidjeti te tweetove? Time nećete deblokirati korisnika/cu @uwdata

  1. Prikvačeni tweet
    12. kol 2019.

    Our latest IDL blog post concerns Errudite: Scalable, Reproducible, and Testable Error Analysis for Machine Learning! work from et al.

    Poništi
  2. proslijedio/la je Tweet
    16. pro 2019.

    My invited talk, "Agency + Automation: Designing Artificial Intelligence into Interactive Systems" is online here:

    Prikaži ovu nit
    Poništi
  3. proslijedio/la je Tweet
    11. pro 2019.

    Altair 4.0 is released! Try it with: pip install -U altair The full list of changes is at ...read on for some highlights.

    Prikaži ovu nit
    Poništi
  4. proslijedio/la je Tweet
    10. pro 2019.

    Vega-Lite 4 is out! 📈 New interactive features (including interactive legends), new transforms (density, regression, quantiles), responsive size, gradient fill, image marks, multiline text + more features / bug fixes. More details and screenshots: . (1/5)

    Prikaži ovu nit
    Poništi
  5. proslijedio/la je Tweet
    12. stu 2019.

    Vega 5.8.0 is out! 📈 New transforms and methods for density estimation, contours, heatmaps, and date-time data. Richer encoding options for axes, bars, paths, and images. And plenty of bug fixes 🐞.

    Prikaži ovu nit
    Poništi
  6. 11. stu 2019.
    Poništi
  7. proslijedio/la je Tweet

    Data analysis is an increasingly common task for people who may not have statistical expertise, but 's has a solution. Watch as she introduces Tea, a high-level declarative language for automating statistical test selection and execution:

    Poništi
  8. proslijedio/la je Tweet
    3. ruj 2019.

    My article on uncertainty vis in SciAm is open for a few days! I hope it makes the research on this topic more accessible. My summary includes work by MU Collective (me & ) & among others

    Poništi
  9. proslijedio/la je Tweet
    27. kol 2019.

    Vega 5.5.0 is out! 📶🎉 See the latest additions and bug fixes here:

    Poništi
  10. proslijedio/la je Tweet
    21. kol 2019.

    I can't express how fortunate I feel to collaborate on these dataviz tools with , , , , and the rest of the / team. Great resource here for teachers and learners of data science/visualization:

    Poništi
  11. proslijedio/la je Tweet
    20. kol 2019.

    This new tool from for systematic error analysis from looks like it will be really useful! (I fear the common standard of 100 sampled errors in QA papers is my fault – we intended to do 200, but I never got around to doing my half….)

    Poništi
  12. proslijedio/la je Tweet
    20. kol 2019.

    Excited to share our notebook curriculum for learning visualization! Visual encoding, data transformation, interaction, maps, & more! Into Python? Here's Altair + Jupyter: Prefer JavaScript? See Vega-Lite + :

    Prikaži ovu nit
    Poništi
  13. proslijedio/la je Tweet
    2. srp 2019.

    I am excited to announce that I will join and as an assistant professor in the fall of 2020. 📊👨🏻‍💻👨🏻‍🏫Before then, I will be working on human-centered ML at . 🍎

    Dominik standing in front of the CMU CS building and sitting in front of the HCII logo.
    Prikaži ovu nit
    Poništi
  14. proslijedio/la je Tweet
    17. lip 2019.

    Thank you and for your advice, mentorship, and support over the last few years. I'm extremely grateful for the opportunities you have given me.

    Poništi
  15. proslijedio/la je Tweet
    7. lip 2019.

    Here are slides for my / capstone talk: "Visualization is Not Enough". I hope to write up a more legible blog post later, but for now here's a big ol' PDF:

    Poništi
  16. proslijedio/la je Tweet
    6. lip 2019.

    We had fun designing this interactive interface around UMAP projections. 🐙 Brushing on the scatterplot shows local distributions of features in the bars. Clicking on a bar maps that feature to opacity in the scatterplot. This helped us explore the meaning of the embedding space.

    Prikaži ovu nit
    Poništi
  17. proslijedio/la je Tweet

    Capturing and analyzing reading behaviors of scrollytelling stories. Interesting work that shows a variety of behaviors. Tools also available.

    Poništi
  18. 6. lip 2019.

    IDL’s demos tools for making sense of how people engage with interactive articles; here using dimensionality reduction to map behaviors.

    Poništi
  19. proslijedio/la je Tweet

    Animated transitions to demonstrate aggregations, some interesting ways of showing what is happening when data is aggregated. User preferences differed quite a bit between aggregations, but they generally preferred the more elaborate ones.

    Poništi
  20. 5. lip 2019.

    Leilani Battle asks hard questions about the definition and structure of "exploratory visual analysis", then follows it up with an empirical study of exploration behaviors and outcomes in Tableau.

    Poništi

Čini se da učitavanje traje već neko vrijeme.

Twitter je možda preopterećen ili ima kratkotrajnih poteškoća u radu. Pokušajte ponovno ili potražite dodatne informacije u odjeljku Status Twittera.

    Možda bi vam se svidjelo i ovo:

    ·