data
INSUFFICIENT DATA FOR MEANINGFUL ANSWER.
The Eyes Have It
A Research Paper by Ben ShneidermanThe trend is your friend 'til the bend at the end
A Fragment by Noah SmithIn 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.
Embracing Asymmetrical Design
An Article by Ben NadelHumans 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
Goodbye, Google
An Article by Douglas BowmanWithout 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.
The Subtleties of Color
A Series by Robert SimmonThe 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.
Data Farming
A Research PaperMiners 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.
The Interpretation of Microstructures of Metallic Artifacts
The meaning of objects
The meaning of objects is harder to grasp than that of words.
Something akin to style
My own attitude toward the microstructure of metals is not unlike that of an art historian regarding a painting or sculpture. There is something akin to style even in a photomicrograph. There are aspects of structure that are not immediately apparent to the untrained eye, and quite minor features may be clues to a deep meaning.
From the head of Jove
A complex structure is a result of, and to a large extent a record of, its past. Though a proton and an electron may, as a pair, be able to spring full-panoplied from the head of Jove, more complex things cannot, or at least do not.
Everything complicated must have had a history, and its internal structural features arise from its history and provide a specific record of it. One might call these structural details of memory “funeous,” after the unfortunate character in Borge’s story “Funes the Memorious” who remembered everything.
The objects themselves speak loudly
The written record is very little help in determining the techniques used by ancient metalworkers, though the objects themselves speak loudly to an educated ear.
The way it has been made
The internal structure of a work of art in metal can often throw as much, or more, light on its origin as can be derived from stylistic analysis. Moreover, the techniques employed can provide clues to the habits of mind of the people who originated them.
…Perhaps the most important reason for structural studies of museum objects is that the intimate knowledge so derived as to the way in which an object has been made adds so greatly to the aesthetic enjoyment of it. Very often some detail and sometimes the whole of an effective design arises directly in the exploitation of the merits and the overcoming of the difficulties of a specific technique, in the reaction between the artist’s fingers and his material.
Aesthetically motivated curiosity
It seems that the first and most imaginative use of practically every material was, before quite modern times, in making something decorative. People are experimentally minded when looking for decorative effects, but they can’t experiment with the established techniques on which their livelihood depends.
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It is of basic significance for human history that, from the cave paintings on, almost all inorganic materials and treatments of them to modify their structure appear first in decorative objects rather than in tools or weapons necessary for survival. Aesthetically motivated curiosity, or perhaps just play, seems to have been the most important stimulus to discovery.