208 Matching Annotations
  1. Last 7 days
    1. John Roberts on Twitter: “154k booster 💉reported today in 🏴󠁧󠁢󠁥󠁮󠁧󠁿, bringing the total to 1.58m, out of 4.56m. So that’s another 3m eligible for a jab as soon as they can be scheduled in. 1/ https://t.co/tw1JmrOiUo” / Twitter. (n.d.). Retrieved October 15, 2021, from https://twitter.com/john_actuary/status/1445785517774176262

  2. Oct 2021
    1. Timothy Caulfield on Twitter: “Will you fall into the conspiracy theory rabbit hole? Https://t.co/8mLQqSBnqb by @databyler @codingyan Good breakdown on some of the social forces (like ideology) that drive conspiracy theories. Despite the fact I study topic, still amazed how many believe this stuff. Https://t.co/L1T0cpy9kB” / Twitter. (n.d.). Retrieved October 8, 2021, from https://twitter.com/CaulfieldTim/status/1445794723101175818

  3. Sep 2021
    1. Sam Wang on Twitter: “These are risk levels that you pose to other people. They’re compared with you as—A nonsmoker—A sober driver—A vaccinated person. Unvaccinated? 5x as likely to get sick, for 3x as long. Total risk to others? 15x a vaccinated person Details:https://t.co/ckTWaivK8n https://t.co/PhpLvX2dsm” / Twitter. (n.d.). Retrieved September 19, 2021, from https://twitter.com/SamWangPhD/status/1438361144759132167

  4. Aug 2021
    1. Prof. Christina Pagel on Twitter: “THREAD latest on B.1.617.2 variant in England: B.1.617.2 (1st discovered in India) is now dominant in England. Here is a thread summarising latest PHE report and Sanger local data. TLDR: it is NOT good news. 1/7” / Twitter. (n.d.). Retrieved August 24, 2021, from https://twitter.com/chrischirp/status/1399333330286415876

    1. (2) David Fisman on Twitter: “Here’s some really simple modeling that hopefully will help provide some insight into why having a large, unvaccinated minority in Ontario is a problem for the population as a whole.” / Twitter. (n.d.). Retrieved August 23, 2021, from https://twitter.com/DFisman/status/1427940663925092354

  5. Jul 2021
    1. visualization of the authors referenced together

      Not usually one for this type of visual web, but I love this one for how it can be used, in addition to simply being interesting to see. Could be a great way to discover confirmation bias at play, if for instance people with opposing views are never referenced together. It could also simply serve as a way to find "other authors you might like," who write on similar topics to those you already have a founded interest in.

    1. G. Elliott Morris on Twitter: “New weekly The Economist/YouGov national poll shows vaccine reluctance hitting another new low. - 69% of adults say they have been at least partially vaccinated, or plan to get vaccinated soon—17% say they will not get vaccinated—14% say they’re unsure https://t.co/OVLSuHyVrC” / Twitter. (n.d.). Retrieved July 2, 2021, from https://twitter.com/gelliottmorris/status/1392465678309933057

  6. Jun 2021
    1. Helen McArdle on Twitter: “The good news: An astonishing 98.2% of over-60s in Scotland are now fully vaccinated. That’s an amazing uptake. It doesn’t mean they are 100% protected of course (and especially not when case rates are high) but their risk of hospitalisation/death is cut by over 90% https://t.co/DzAxkpLvcR” / Twitter. (n.d.). Retrieved June 30, 2021, from https://twitter.com/HMcArdleHT/status/1409821893557768195

    1. Eric Topol on Twitter: “As the Delta variant (B.1.617.2) becomes dominant throughout the world, there are 2 patterns emerging: —Countries w/ low vaccination rates are seeing both case and fatality rates increase—Countries w/ high vaccination rate: Some case increase and minimal to no fatality increase https://t.co/sSE4RlSeUJ” / Twitter. (n.d.). Retrieved June 28, 2021, from https://twitter.com/EricTopol/status/1408195243279667204

  7. May 2021
    1. ReconfigBehSci on Twitter: ‘the SciBeh initiative is about bringing knowledge to policy makers and the general public, but I have to say this advert I just came across worries me: Where are the preceding data integrity and data analysis classes? Https://t.co/5LwkC1SVyF’ / Twitter. (n.d.). Retrieved 18 February 2021, from https://twitter.com/SciBeh/status/1362344945697308674

  8. Apr 2021
    1. Eric Topol on Twitter: “The variants of concern/interest fall into a spectrum of immune evasiveness, w/ B.1.351 being most; B.1.1.7, B.1.429 least. This property pertains to potential for reinfection & some reduction in vaccine efficacy My prelim estimates based on publications/preprints, subject to Δ https://t.co/fQZwBCUEGS” / Twitter. (n.d.). Retrieved April 28, 2021, from https://twitter.com/EricTopol/status/1380203664317456385

  9. Mar 2021
    1. Ashish K. Jha, MD, MPH. (2020, December 12). Michigan vs. Ohio State Football today postponed due to COVID But a comparison of MI vs OH on COVID is useful Why? While vaccines are coming, we have 6-8 hard weeks ahead And the big question is—Can we do anything to save lives? Lets look at MI, OH for insights Thread [Tweet]. @ashishkjha. https://twitter.com/ashishkjha/status/1337786831065264128

    1. Stefan Simanowitz. (2020, November 14). “Sweden hoped herd immunity would curb #COVID19. Don’t do what we did” write 25 leading Swedish scientists “Sweden’s approach to COVID has led to death, grief & suffering. The only example we’re setting is how not to deal with a deadly infectious disease” https://t.co/azOg6AxSYH https://t.co/u2IqU5iwEn [Tweet]. @StefSimanowitz. https://twitter.com/StefSimanowitz/status/1327670787617198087

  10. Feb 2021
    1. Cubism.js is a D3 plugin for visualizing time series. Use Cubism to construct better realtime dashboards, pulling data from Graphite, Cube and other sources. Cubism is available under the Apache License on GitHub.

  11. Dec 2020
    1. Treemaps are a visualization method for hierarchies based on enclosure rather than connection [JS91]. Treemaps make it easy to spot outliers (for example, the few large files that are using up most of the space on a disk) as opposed to parent-child structure.

      Treemaps visualize enclosure rather than connection. This makes them good visualizations to spot outliers (e.g. large files on a disk) but not for understanding parent-child relationships.

    1. The labor force participation rate is the share of working-age people who are part of the labor force (employed, on temporary layoff or actively searching for work). Jan. ’19Jan. ’206061626364

      This chart visually misleads as to the magnitude of the drop by setting the range of the chart’s vertical axis between 60 and 65 percent! Set the minimum to zero percent, at least allow that as an option, for real context. Also go back in time—the horizontal axis—for context regarding past variability. You can do this, NYT!

  12. Oct 2020
    1. In all cases, the technique is appropriate for structures with high degree (large fanout). For low-degree structures, outline editors or graph viewers are more effective.

      Use cases for Miller columns: high degree vs low degree structures.

    1. Long, H., correspondentEmailEmailBioEmailFollowEmail, H. L., Dam, rew V., Fowers, rew V. D. focusing on economic dataEmailEmailBioEmailFollowEmailAlyssa, visualization, A. F. reporter focusing on data, data, analysisEmailEmailBioEmailFollowEmailLeslie S. S. reporter focusing on, & storytellingEmailEmailBioEmailFollowEmail, multimedia. (n.d.). The covid-19 recession is the most unequal in modern U.S. history. Washington Post. Retrieved October 2, 2020, from https://www.washingtonpost.com/graphics/2020/business/coronavirus-recession-equality/

  13. Sep 2020
    1. "The Data Visualisation Catalogue is a project developed by Severino Ribecca to create a library of different information visualisation types." I like the explanations of when one might use a particular type of data visualization to highlight - or obscure! - what the data is saying.

  14. Aug 2020
    1. However, there is one important point: with the visualisation the feeling must be there too. When someone is seeing him/herself in for example delivering a speech for the first time on stage, they really must let the feeling build up in their hearts, minds and body too. Then the vibrations will do their "magic

      Comment in the article suggested that you should focus on visualizing the action AND emotion