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Yap Xiong's List: Visual Analytics (Articles)

    • Data visualization means different things to many people
    • In my experience
    • strong programming background with experience in Processing, Actionscript, or some other similar language and probably have worked with large databases at one point or another

    5 more annotations...

  • 24 Jul 09

    Article in the Flowing Data blog by Nathan Yau, which addresses the predicted rise of the "data scientist" (someone who can take information & visualize/ present it a simple way)

    • Data Scientist
    • able to extract information from large datasets and then present something of use to non-data experts.
    • Visualization - graphs, tools, etc.

    5 more annotations...

    • There also were very few graphics dedicated to the differential impact of incarceration practices on poor and minority communities.
    • easy but illogical way to summarize data points
    • a good information graphic should begin to tell the story at first glance, before you have to read anything.

    1 more annotation...

  • 23 Jul 09

    Review Article by Robert Kosara (Eager Eyes blog), comparing the qualities & aspects of the 2 social visualization websites, Swivel & Many Eyes.org

    • creating charts and bas
    • Most people have created a basic bar or pie chart before, but few realize how much you can do with even the few simple tools in Excel.
    • very little data is freely available

    23 more annotations...

  • 23 Jul 09

    Short Article by Robert Kosara (Eagle Eyes blog) about the shift in users of Visualization

    • The current view of course is that visualization systems should be designed in a way that is useful to domain experts with little to no knowledge of visualization
    • The current view of course is that visualization systems should be designed in a way that is useful to domain experts with little to no knowledge of visualization
    • The current view of course is that visualization systems should be designed in a way that is useful to domain experts with little to no knowledge of visualization.

    4 more annotations...

  • 23 Jul 09

    Article by Christian Marc Schmidt in Form follows Behavior blog on how every visualization is defined by a hypothesis on the part of the author.

    • a hypothesis about the data that the choice of a particular formal expression aims to address
    • At this point, visualization becomes a rhetorical device—it is biased towards conveying (but not necessarily validating) a hypothesis, effecting not only its visual expression, but also the use and description of data.
    • While the piece in its essence is making a single statement, the fact that it is supported by data lends it both credibility and relevance.
    • Visualization as metaphor
    • Metaphor simulates: it seeks to explain one subject through another.
    • we (the viewers) expect to find rationale behind every decision

    2 more annotations...

    • source of a data point, the quality of the data, statistical significance, or why two numbers don't align?
      • Yap Xiong
        Yap Xiong on 2009-07-20

        Accuracy matters in the meaning of data - needs to be accepted regardless of presentation

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    • People who have experience and comfort with numbers have the ability to abstract meaning from analysis for themselves—even when numbers don't line up, the data is unclear, or the analysis has minor flaws.
      • Yap Xiong
        Yap Xiong on 2009-07-20

        Does this mean the accuracy doesn't matter? Sounds like letting the data speak for itself, in spite of how it is presented

    • gather their own meaning,
      • Yap Xiong
        Yap Xiong on 2009-07-20

        "Own meaning" - can be/ seems very subjective - suggests a high level of expertise needed (see analogy in previous sentences)

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    5 more annotations...

    • belief that visual analysis software is needed by a broad audience of people, not just those who have the term “analyst” in their titles
      • Yap Xiong
        Yap Xiong on 2009-07-20

        Need for visual analytics software to:
        (A) Reach a broader market OR (B) have a more active role in daily life.

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    • direct more of their efforts toward the practical needs of a broad audience of potential users.
      • Yap Xiong
        Yap Xiong on 2009-07-20

        Visual analytics still a closed maeket? Still a high expertise specialty?

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    • desperate need for tools that will help them make sense of it

    14 more annotations...

    • Great Data Visualization Tells a Great Story
    • They probably all told a great story
    • Data can be boring if you don't know what you're looking for or don't know that there's something to look for in the first place

    6 more annotations...

    • Enter the new "visual scientists" who are turning bits and bytes of data -- once purely the domain of mathematicians and coders -- into stories for our digital age.
    • fundamentally changing the way we create and consume narratives about events, products and services.
    • advances in technology at the presentation layer and the new found ability to tap into once hidden data sources that is enabling these new visual scientists to chart a new narrative course.

    4 more annotations...

  • 15 Jun 09

    Newspaper Article feat. Jeffery Heer on Thu, May 21, 2009.

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