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.
Painting With the Web
So much about [Gerhard Richter's painting process] reminds me of designing and building for the Web: The unpredictability, the peculiarities of the material, the improvisation, the bugs, the happy accidents. There is one crucial difference, though. By using static wireframes and static layouts, by separating design and development, we are often limiting our ability to have that creative dialogue with the Web and its materials. We are limiting our potential for playful exploration and for creating surprising and novel solutions. And, most importantly, we are limiting our ability to make conscious, well-informed decisions going forward. By adding more and more layers of abstraction, we are breaking the feedback loop of the creative process.
A constant dialogue
Have you ever seen Gerhard Richter painting?
It is phenomenal to watch. He might start one of his large, abstract paintings by carefully applying oil paint to the canvas with a thick brush. Then, he begins to scrape, smear, or add new layers of paint with a large, home-made squeegee. After each change, Richter pauses, takes a step back, and looks at the result: What did just happen with the picture? What composition has come about? Where have interesting parts emerged? What is the next move that might bring the piece one step closer to completion? And which action would be a mistake? There is a lot of intention and carefulness in this process, yet Richter equally respects the results of accident and chance. He lets go of a certain kind of control to let things happen that are surprising and exciting. But at the same time, Richter always exerts enough control to influence the result. He decides what to keep and what to destroy. It is the ultimate creative process: a constant dialogue.
Constant reflection and refinement
Ask any artist, musician, or writer and they might tell you that this conversation at the heart of the creative process is what makes their work special and so fulfilling. No piece of art exists in its final form in the head of the artist before the first brush stroke is put on the canvas. No musician has a full piece of music in her head without a conversation with instruments or the score. And no novel is done before the first word is put on paper or a computer screen. Constant reflection and refinement are key to creating any piece of work. This is what lets creators of any profession learn and grow, and, ultimately, achieve mastery. And the same is true for any user interface, design pattern, piece of code, or content on the Web.