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.
Design Thinking
Ducks and decorated sheds
A duck is a building whose confirmation is a complete symbol or icon. A decorated shed is a building to which symbols, often commonplace signs, have been attached.
Clinging to ideas
Another aspect of design thinking that was evident in the foregoing case studies is the tenacity with which designers will cling to major design ideas and themes in the face of what at times might seem insurmountable odds. Often the concept the designer has in mind can only come to fruition if a large number of apparently countervailing conditions can be surmounted.
Even when severe problems are encountered, a considerable effort is made to make the initial idea work, rather than to stand back and adopt a fresh point of departure.
A concept of style
It is a concept based not on the classification of various physical features of architecture and urban design but on the problem-solving process itself. We have seen that the final outcome of a design process is strongly determined by at least three aspects of that process:
- the subject matter of the organizing principles which are adopted,
- the manner in which these principles are interpreted and reinterpreted in the context of the problem at hand, and
- the sequent of applying such organizing principles.
Consistency in style among the output of designers can thus be understood as a habitual way of doing things, of solving problems.
Form and figure
Form applies to “a configuration with natural meaning or none at all,” whereas figure applies to “a configuration whose meaning is given by culture."
Design skirmishes
it is apparent that the unfolding of the design process assumed a distinctly episodic structure, which we might characterize as a series of related skirmishes with various aspects of the problem at hand.
As the scope of the problem became more determined and finite for the designer, the episodic character of the process seems to have become less pronounced. During this period a systematic working out of issues and conditions took hold within the framework that had been established. This phenomenon is not at all surprising when we consider the fundamental difference between moments of problem solving when matters are poorly defined and those with clarity and sufficiency of structure.
Within the episodic structure of the process, the problem, as perceived by the designer, tends to fluctuate from being rather nebulous to being more specific and well-defined. Furthermore, moments of "blinding" followed by periods of backtracking take place, where blinding refers to conditions in which obvious connections between various considerations of importance go unrecognized by a designer.
Such plans were deemed efficient
The terrain of cities was subdivided along the lines of distinct and discrete patterns of use, with very little opportunity for mixing (separation and concentration of functions). After all, the home environment should be just that…while places of work should be aggregated and serviced with their appropriate supporting functions.
Such plans were deemed efficient.
Constrained by the medium
The inevitable reciprocation that occurs between the act of drawing and the thinking associated with it. The hand moves, the mind becomes engaged, and vice versa. We might ask: How much does the medium of expression actually constrain a design process?
A medium has a way of constraining our choices, and this influence may not involve conscious choice at all. The planner, in the end, sees and understands only those things for which they can provide expression.
Autonomous constraints
Autonomous or independent constraints do not derive from the problem as given and understood…there was nothing in the problem statement, or brief, that required any reference be made to it. This constraint, introduced by the designers, usefully transcended the givens of the problem situation.
Unless the entire problem at hand can be solved using strictly problem-oriented constraints, we have to step outside the known problem context in order to continue problem solving activity.
The strange familiar and the familiar strange
The problem solver, when confronted with a new and yet unsolved problem, overlays the structure of the unsolved problem with an apparently similar problem with which he or she is experienced.
Making the strange familiar and the familiar strange are also principally based on the use of analogy.