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
Gods of the Word
Imagine that we had no voice and no tongue
Socrates: Imagine that we have no voice and no tongue, but want to communicate with one another. Wouldn’t we like the deaf and the dumb make signs with the hands and the head and the rest of the body?
Hermogenes: There would be no choice, Socrates.
Socrates: We would imitate the nature of the thing: lifting the hands to heaven would mean lightness and upwardness. Heaviness and downwardness would be expressed by letting them drop toward the ground...
Hermogenes: I don’t see that we could do anything else.
Socrates: And when we want to express ourselves with the voice or tongue or mouth, the expression is simply their imitation of what we want to express?
Hermogenes: I think, it must be so.My name
“I am the utterance of my name.”
— Thunder, Perfect Mind, The Nag Hammadi Library
Reference and Is-ness
There are at least two aspects to what we have traditionally called the meaning of a word. One aspect is reference, and the other is something I will call ‘inherent meaning’ following Ullman (1963). Inherent meaning is ‘Is-ness’ meaning. Inherent meaning is a word’s identity, and reference merely its resumé, where it has gone and what it has done, an itemization of its contexts. ‘Is-ness’ is unifying. Each word has a single pronunciation, a single inherent meaning. But reference is divisive. It makes what was one thing – the word – appear to be many things – its senses. It is inherent meaning which gives all those multifarious senses the power of being a single word.
It flows out and fills
This deeper meaning of a word isn’t confined to what we think of as a dictionary definition. Rather it flows out and fills all the space available to it. Although a basic sense does affect the dynamics of a word, it has no power over its essence. Like the captain of a ship, it can control the crew’s actions, but not their minds. Each word has an aspect of meaning which lies deeper than any of its senses, and it is fundamentally on this meaning that all the senses depend.
No less than a Zeus
I too am a true believer in the autonomy of the archetype. A
/t/
or an/h/
is no less than a Zeus. The consonants are not essentially physical, but they live, evolve and influence human affairs. We overlook something essential if we deny that they can get up and walk around. This is not to say that their existence is independent of the human psyche. But then everything depends on everything.Like a prism
When you look at phonemes, you look through the perspective of morphemes, which are one linguistic level higher. The higher level is like a prism that splits the light in two. What was one thing, like ‘length’ at the phoneme level, looks like two opposite things ‘long’ and ‘short’ from the perspective of the morphemes. In practice, when you find both a word and its opposite, then the phoneme is not about either of these two things, but about what is common to them.
Fracturing
If we step back and view from afar this process of One-ness and Is-ness to fracturing and interpretation – of inherent meaning to reference, it follows that what lies at the foundation of language is simply what it is – sound – free of reference and interpretation. What makes what we know as language from its sound is fracturing and interpretation or using a word for a function other than what it simply is.
To evolve the language itself
So in the process of talking, we might say we are putting words in slightly new contexts, and then testing them against our peers to see if our experiment in juxtaposition had ‘meaning. If we succeed, we have introduced new contexts for the words we use. These contexts will be taken up by our listeners, and will gradually become clearly enough defined to be thought of as referents. Once our words gain new referents, they start affecting the underlying phonosemantic structure of the language, the clustering patterns, the network of semantic relations. That is, the purpose of talking in the long run is to evolve the language itself.
Scooting over
There is at this point no evidence that acquired characteristics can be inherited. It is held that all changes to a genome are random, and cannot be subject to any higher principle. However, when a word is used in a new context, as it is whenever we say something new, a new sense is permitted. This does affect the phonosemantic structure, the linguistic DNA. Words in the vicinity of this word ‘scoot over’ to make room and allow themselves to be influenced by its philosophy. The language itself is now different.
The element becomes a sign
Each unit can be seen purely as form, as what it is. Or it can be viewed as having a function. Its function is only understandable within the next higher level of organization. And in every case, function must succumb to the constraints of form. Once this worldly function is assigned, the element becomes a ‘sign’. It falls into the realm of concept. There is a mapping from one thought system to another.
The demand of a new word
Why are these phonosemantic classes enough, and we need neither more nor less? Why are these consonants enough, and we need neither more nor less? What determines the need for a new word? How is this demand ‘felt’ by a language? How did the metabolic pathways of American English recognize that ‘jerk’ and ‘twerp’ and ‘punk’ and ‘nitwit’ and ‘dork’ and ‘ass’ and ‘goon’ and ‘twit’ and ‘dodo’ and ‘bum’ and ‘nerd’ and ‘dunce’ and ‘turd’ and ‘boob’ and ‘chump’ and ‘bitch’ and ‘bastard’ and ‘prude’ and so on and so forth simply were not equal to the task? We had to add ‘turkey’ and ‘squirrel’ as well?