179 Matching Annotations
  1. Last 7 days
    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

  2. May 2021
  3. 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

  4. 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

  5. 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.

  6. 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!

  7. 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/

  8. 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.

  9. 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

    2. “In 2004, Cleveland Clinic physiologist Guang Yue wanted to know if merely thinking about lifting weights was enough to increase strength. Study subjects were divided into four groups. One group tried to strengthen their finger muscles with physical exercise; one tried to strengthen their finger muscles by only visualizing the exercise; another tried to increase arm strength through visualization; while the last group did nothing at all. The trial lasted twelve weeks.When it was over, those who did nothing saw no gains. The group that relied on physical training saw the greatest increase in strength-at 53 percent. But it’s the mental groups where things got curious. Folks who did no physical training but merely imagined their fingers going through precise exercise motions saw a 35 percent increase in strength, while the ones who visualized arm exercises saw a 13.5 percent increase in strength.”Let’s review — these participants did NOTHING BUT VISUALIZING and saw an increase of up to 35% in strength!But things are all the more convincing when you consider that a few years before Yue’s studies, neuroscientists found no difference between performing an action and merely imagining oneself performing that action-the same neuronal circuits fire in either case.

      Experiments have shown that simply visualizing an can have great impacts.

    3. consistently finding strong correlations between mental rehearsal-i.e., visualization-and better performance

      Visualization meditation has scientific backing

  10. Jul 2020
  11. Jun 2020
    1. Starr, T. N., Greaney, A. J., Hilton, S. K., Crawford, K. H., Navarro, M. J., Bowen, J. E., Tortorici, M. A., Walls, A. C., Veesler, D., & Bloom, J. D. (2020). Deep mutational scanning of SARS-CoV-2 receptor binding domain reveals constraints on folding and ACE2 binding [Preprint]. Microbiology. https://doi.org/10.1101/2020.06.17.157982