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.
Letters to the Future
The lapse of many years
At this point I wish to emphasize what I believe will ultimately prove to be the greatest purpose of our museum. This value will not, however, be realized until the lapse of many years, possibly a century, assuming that our material is safely preserved. And this is that the student of the future will have access to the original record of faunal conditions in California and the west, wherever we now work. He will know the proportional constituency of our faunae by species, the relative numbers of each species and the extent of the ranges of species as they exist today.
— Joseph Grinnell, 1910
The Grinnell System
The recording of field notes was common practice for biological surveyors and naturalists generations before Grinnell. His system continues this tradition but is distinguished by its distinctive standardized format. It consists of three sections:
- The journal contains a narrative account describing the study site and summarizing each day’s activities and observations, including a list of species encountered. This section is often peppered with sketches, photographs, or maps.
- The catalog is a sequential record of all voucher specimens collected, each with a unique field number and the information needed for the specimen’s museum tag, such as its sex, mass, breeding status, and standard body measurements.
- Species accounts are species-specific summaries of information and observations, gradually accumulated over multiple days at a site or across multiple sites, that eventually grow to detailed summaries of physical description, seasonal behaviors, microhabitat associations, and other characteristics.
Separating the notebook in this fashion allows each section to have its own context-specific structure and format.
Jim's system
From the earliest days of my fieldwork until now, throughout a given day I jotted notes, typically in pencil, into a small, spiral-bound pocket notebook, remembering the admonition not to trust one’s memory but to record observations as continually as possible. I then transcribes these notes into my handwritten journal in the evenings on the best of days or every few days when an intense field effort allowed.
From 2000 onward, I would still takes pencil notes in a small pocket notebook in the field, but I transcribes these into a word-processor document with margins set for the size of our field note pages. I combined this document with my field catalog for a particular trip and eventually both would be bound in the same manner as standard, handwritten field notes.
This approach had the advantage of producing both an archival paper copy as well as an electronic copy. It was also easy to intersperse specialized maps and digital photographs, which had become the norm by this time, throughout the journal text.
John's system
I have two field notebooks: a “raw" notebook and my formal Grinnellian notebook.
In the field, I take all my raw notes in a waterproof notebook using a fine-point permanent pen (or pencil when its raining). The entries have virtually no structure other than the date at the top of (almost) every page.
At the end of the day, I transcribe the notes into my Grinnellian journal as if I were writing a latter to a colleague.
Record them all
You can’t tell often in advance which observations will prove valuable. Do record them all!
— Joseph Grinnell, 1908
Recommendations for field notes
Being an end-user of someone else’s field notes certainly gives you insight into the benefits of good note-taking skills. Our experiences as end-users and creators of archival field notes lead us to a few specific recommendations:
(1) Don’t get bogged down in the details of format or style.
Rules are counterproductive if they prevent a researcher from taking field notes in the first place.
You will get more return by focusing on your content than by refining your formatting.
(2) Compose your notes as if you were writing a letter to someone a century in the future.
Writing for an external audience requires you to be more explicit in your descriptions and to take less knowledge for granted. Avoid the use of abbreviations, symbols, and other shortcuts that only you will understand.
Ask yourself: How would you describe this to someone over the phone?
(3) It is better to spend five minutes writing the important details than twenty minutes writing the trivial ones.
Field notes
Field notes example.
Camp's notes
Grinnell-era field notes example, Charles L. Camp.