Information Design & Data Visualization
No more LittleDataGraphics
Small data sets should be shown directly...LittleDataGraphics (pie charts, bar charts) translate and encode data into areas and colors. Viewers must then mentally translate codes back into numbers. These codes are unique to the local sets of data graphics, and do not repay learning. Instead, just directly show numbers as numbers. No more LittleDataGraphics. Data visualizations are at their best when there is so much data that the only way to see it...is to see it.
The Visual Information Seeking Mantra
There are many visual design guidelines but the basic principle might be summarized as the Visual Information Seeking Mantra:
Overview first, zoom and filter, then details-on-demand
Overview first, zoom and filter, then details-on-demand
Overview first, zoom and filter, then details-on-demand
Overview first, zoom and filter, then details-on-demand
Overview first, zoom and filter, then details-on-demand
Overview first, zoom and filter, then details-on-demand
Overview first, zoom and filter, then details-on-demand
Overview first, zoom and filter, then details-on-demand
Overview first, zoom and filter, then details-on-demand
Overview first, zoom and filter, then details-on-demandEach line represents one project in which I found myself rediscovering this principle and therefore wrote it down it as a reminder. It proved to be only a starting point in trying to characterize the multiple information visualization innovations occurring at university, government, and industry research labs.
Envisioning Information
A Book by Edward TufteBeautiful Evidence
A Book by Edward TufteThe Visual Display of Quantitative Information
A Book by Edward TufteThe Elements of Graphing Data
A Book by William S. ClevelandVision Science
A Book by Stephen E. PalmerVisual Explanations
A Book by Edward TufteVisualizing Algorithms
An Article by Mike BostockInformation Visualization: Perception for Design
A Book by Colin WareThe Eyes Have It
A Research Paper by Ben ShneidermanVisualizing Data
A Book by William S. ClevelandExploratory Data Analysis
A Book by John TukeyPlus Equals #4
An Article by Rob WeychertOne of the seeds for Plus Equals was planted a few years ago with Incomplete Open Cubes Revisited, my extension of a Sol LeWitt work. I learned a lot about isometric projection from that project, but my affection for the concept didn’t begin there. Whether I’m looking at a Chris Ware illustration or an exploded-view technical drawing of a complex machine, an isometric rendering always stirs something in me.
In search of visual texture
An Article by Rachel PruddenI’m now more inclined to attribute Looseleaf’s power to its visual texture than to some cognitive media-style abstraction. And the visual texture owes more to the beauty (yes, beauty!) of the original pdfs from the Vasulka Archive. Perhaps the demo is best understood not as a prototype generic tool, but as a specific curated experience in its own right, with form and content claiming equal importance in its overall success.
Even so, I think there are some general lessons that can be drawn from this demo:
- Content is not inert
- Visual texture lets content breathe
- Visual texture lets the eye wander without losing itself
Chartwell
A FontThis set of tools for easily creating graphs is conveniently disguised as a set of fonts. OpenType features are used to interpret and visualize the data. The data remains as editable text, allowing for painless updates.
Windy
A WebsiteBetter colormaps?
An Article by Mark LibermanA modest sample of alternative ways of coloring the same type of 2-D density plots of rates of F0 change and amplitude change.
ImageQuilts
A Tool by Edward Tuftepress.stripe.com
A WebsiteStripe partners with millions of the world’s most innovative businesses. These businesses are the result of many different inputs. Perhaps the most important ingredient is “ideas.”
Stripe Press highlights ideas that we think can be broadly useful. Some books contain entirely new material, some are collections of existing work reimagined, and others are republications of previous works that have remained relevant over time or have renewed relevance today.
Between the Words
An Artwork by Nicholas RougeuxMoby Dick.
Between the Words is an exploration of visual rhythm of punctuation in well-known literary works. All letters, numbers, spaces, and line breaks were removed from entire texts of classic stories...leaving only the punctuation in one continuous line of symbols in the order they appear in texts. The remaining punctuation was arranged in a spiral starting at the top center with markings for each chapter and classic illustrations at the center.
SeriesHeat
A Website by Jim VallandinghamSearch for a TV Series to see a heatmap of average IMDb ratings for each episode.
Time-based analytics
An Article by Ryan SingerAnalytics apps don't tell you much about usage behavior. You might be able to see how many users performed an event, or how many times they did it. But none of the analytics packages out there are good at showing you how often people do things. Are they using to-dos once a week? Every day? Only signing into the app once a month but happily paying for years?
Time matters. You can't understand usage without time.
Cameras and lenses
An Article by Bartosz CiechanowskiPictures have always been a meaningful part of the human experience. From the first cave drawings, to sketches and paintings, to modern photography, we’ve mastered the art of recording what we see.
Cameras and the lenses inside them may seem a little mystifying. In this blog post I’d like to explain not only how they work, but also how adjusting a few tunable parameters can produce fairly different results.
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.
tixy.land
A Websitesin(t * x) * cos(t * y)
Creative code golfing.
Zipdecode
A Website by Ben FryA Library Demand List
A Website by Robin SloanThis visualization takes the current New York Times Best Sellers list for combined print and e-book fiction and scales each title according to the demand for its e-book edition at a collection of U.S. public libraries, selected for their size and geographic diversity.
MIT Student Hub
An Article by Alex HogrefeThe project is located on the MIT Campus and will be a “Student Hub” containing restaurants, large event spaces, and smaller study spaces.
V-RESAS
An ApplicationAll in & with the flow
An Article by Buster BensonInfoCrystal
A Research PaperThis paper introduces a novel representation, called the InfoCrystal, that can be used as a visualization tool as well as a visual query language to help users search for information. The InfoCrystal visualizes all the possible relationships among N concepts.
Readings in Information Visualization: Using Vision to Think
A Book by Ben Shneiderman
You're Probably Using the Wrong Dictionary
As if a word were no more than coordinates
The New Oxford American dictionary, by the way, is not like singularly bad. Google’s dictionary, the modern Merriam-Webster, the dictionary at dictionary.com: they’re all like this. They’re all a chore to read. There’s no play, no delight in the language. The definitions are these desiccated little husks of technocratic meaningese, as if a word were no more than its coordinates in semantic space.
Another mind as alive as yours
In 1807, Webster started writing a dictionary, which he called, boldly, An American Dictionary of the English Language. He wanted it to be comprehensive, authoritative. Think of that: a man sits down, aiming to capture his language whole.
Dictionaries today are not written this way. In fact it’d be strange even to say that they’re written. They are built by a large team, less a work of art than of engineering. When you read an entry you don’t get the sense that a person labored at his desk, alone, trying to put the essence of that word into words. That is, you don’t get a sense, the way you do from a good novel, that there was another mind as alive as yours on the other side of the page.
Webster’s dictionary took him 26 years to finish. It ended up having 70,000 words. He wrote it all himself, including the etymologies, which required that he learn 28 languages, including Old English, Gothic, German, Greek, Latin, Italian, Spanish, Dutch, Welsh, Russian, Aramaic, Persian, Arabic, and Sanskrit. He was plagued by debt to fund the project; he had to mortgage his home.
A soft and fitful luster
Who decided that the American public couldn’t handle “a soft and fitful luster”? I can’t help but think something has been lost. “A soft sparkle from a wet or oily surface” doesn’t just sound worse, it actually describes the phenomenon with less precision. In particular it misses the shimmeriness, the micro movement and action, “the fitful luster,” of, for example, an eye full of tears — which is by the way far more intense and interesting an image than “a wet sidewalk.”
It’s as if someone decided that dictionaries these days had to sound like they were written by a Xerox machine, not a person, certainly not a person with a poet’s ear, a man capable of high and mighty English, who set out to write the secular American equivalent of the King James Bible and pulled it off.
Pathos
With its blunt authority the New Oxford definition of “pathos” — “a quality that evokes pity or sadness” — shuts down the conversation, it shuts down your thinking about the word, while the Webster’s version gets your wheels turning: it seems so much more provisional — “that which awakens tender emotions, such as pity, sorrow, and the like; contagious warmth of feeling, action, or expression; pathetic quality; as, the pathos of a picture, of a poem, or of a cry” — and therefore alive.
Most important, it describes a word worth using: a mere six letters that have come to stand for something huge, for a complex meta-emotion with mythic roots. Such is the power of actual English.
An affection for words
There’s an amazing thing that happens when you start using the right dictionary. Knowing that it’s there for you, you start looking up more words, including words you already know. And you develop an affection for even those, the plainest most everyday words, because you see them treated with the same respect awarded to the rare ones, the high-sounding ones.
Which is to say you get a feeling about English that Calvin once got with his pet tiger on a day of fresh-fallen snow: “It’s a magical world, Hobbes. Let’s go exploring!”