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  56. childhood 6
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  226. Luu, Dan 8
  227. Lynch, Kevin 12
  228. machines 6
  229. MacIver, David R. 8
  230. MacWright, Tom 5
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  239. Mills, C. Wright 9
  240. minimalism 10
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data

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  • INSUFFICIENT DATA FOR MEANINGFUL ANSWER.

    Isaac Asimov, The Last Question
    • data
    • questions
  • 46 data quality issues in spreadsheets

    614497C6-4CA5-406D-991D-915A9F280B06_1_201_a.jpg
    Edward Tufte, Seeing With Fresh Eyes
    • data
  • Embracing Asymmetrical Design

    An Article by Ben Nadel
    www.bennadel.com

    Humans love symmetry. We find symmetry to be very attractive. Our brains may even be hard-wired through evolution to process symmetrical data more efficiently. So, it's no surprise that, as designers, we try to build symmetry into our product interfaces and layouts. It makes them feel very pleasant to look at.

    Unfortunately, data is not symmetrical…Once you release a product into "the real world", and users start to enter "real world data" into it, you immediately see that asymmetrical data, shoe-horned into a symmetrical design, can start to look terrible.

    To fix this, we need to lean into an asymmetric reality. We need to embrace the fact that data is asymmetric and we need to design user interfaces that can expand and contract to work with the asymmetry, not against it. To borrow from Bruce Lee, we need to build user interfaces that act more like water:

    “You must be shapeless, formless, like water. When you pour water in a cup, it becomes the cup. When you pour water in a bottle, it becomes the bottle. When you pour water in a teapot, it becomes the teapot. Water can drip and it can crash. Become like water my friend.” — Bruce Lee

    1. ​​The pernicious issue with pangrams​​
    2. ​​Changing Our Development Mindset​​
    • data
    • interfaces
  • The Subtleties of Color

    A Series by Robert Simmon
    earthobservatory.nasa.gov
    Image from earthobservatory.nasa.gov on 2021-01-19 at 9.58.34 AM.jpeg

    The use of color to display data is a solved problem, right? Just pick a palette from a drop-down menu (probably either a grayscale ramp or a rainbow), set start and end points, press “apply,” and you’re done. Although we all know it’s not that simple, that’s often how colors are chosen in the real world. As a result, many visualizations fail to represent the underlying data as well as they could.

    • color
    • visualization
    • data
  • The trend is your friend 'til the bend at the end

    A Fragment by Noah Smith
    noahpinion.substack.com
    Image from noahpinion.substack.com on 2021-11-10 at 6.32.26 AM.jpeg

    In the past, GDP and resources use have always been tightly correlated. But this is just drawing a line through some data — it’s not based on any deep theory. And in fact, these correlations can change very quickly. Just as one example, here’s energy use versus GDP since 1949.

    If you were sitting in 1970, you could look at this curve and claim, very confidently, that economic growth requires concomitant increases in energy use. And you’d be wrong. Because the trend is your friend til the bend at the end.

    • data
    • statistics
    • prediction
    • economics
  • The Eyes Have It

    A Research Paper by Ben Shneiderman
    www.cs.umd.edu
    1. ​​The Visual Information Seeking Mantra​​
    • visualization
    • information
    • data

    A Task by Data Type Taxonomy for Information Visualizations.

  • Goodbye, Google

    An Article by Douglas Bowman
    stopdesign.com

    Without a person at (or near) the helm who thoroughly understands the principles and elements of Design, a company eventually runs out of reasons for design decisions. With every new design decision, critics cry foul. Without conviction, doubt creeps in. Instincts fail. “Is this the right move?” When a company is filled with engineers, it turns to engineering to solve problems. Reduce each decision to a simple logic problem. Remove all subjectivity and just look at the data. Data in your favor? Ok, launch it. Data shows negative effects? Back to the drawing board. And that data eventually becomes a crutch for every decision, paralyzing the company and preventing it from making any daring design decisions.

    Yes, it’s true that a team at Google couldn’t decide between two blues, so they’re testing 41 shades between each blue to see which one performs better. I had a recent debate over whether a border should be 3, 4 or 5 pixels wide, and was asked to prove my case. I can’t operate in an environment like that. I’ve grown tired of debating such minuscule design decisions. There are more exciting design problems in this world to tackle.

    • design
    • decisions
    • data
  • Data Farming

    A Research Paper
    onlinelibrary.wiley.com

    Miners seek valuable nuggets of ore buried in the earth, but have no control over what is out there or how hard it is to extract the nuggets from their surroundings. ... Similarly, data miners seek to uncover valuable nuggets of information buried within massive amounts of data.

    Farmers cultivate the land to maximize their yield. They manipulate the environment to their advantage using irrigation, pest control, crop rotation, fertilizer, and more. Small-scale designed experiments let them determine whether these treatments are effective. Similarly, data farmers manipulate simulation models to their advantage, using large-scale designed experimentation to grow data from their models in a manner that easily lets them extract useful information.

    1. ​​An information service society​​
    • farming
    • data
    • simulation

    See also: Data Farming on Wikipedia.


See also:
  1. visualization
  2. questions
  3. information
  4. farming
  5. simulation
  6. color
  7. design
  8. decisions
  9. interfaces
  10. statistics
  11. prediction
  12. economics
  1. Isaac Asimov
  2. Ben Shneiderman
  3. Robert Simmon
  4. Douglas Bowman
  5. Ben Nadel
  6. Edward Tufte
  7. Noah Smith