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.
Why Keep a Field Notebook?
Pick one thing
I recently started a field notebook assignment for my upper-level Ecology class at the University of Montana. I asked my students to pick one “thing” and observe it carefully over the entire semester.
In addition to their field notebooks, the students also had to suggest at least ten research questions inspired by their observations.
Lab notebooks
Most of my colleagues who conduct laboratory research not only keep extremely thorough and complete lab notebooks, but they teach their students how and why to keep data in them. Some labs even have friendly competitions in which prizes for the best-kept notebooks are awarded.
In stark contrast to the vibrant culture of keeping lab notebooks in molecular biology, my informal polling suggested a lack of interest in notebooks in field biology.
“I have a GPS for that.”
“My data are in a spreadsheet.”
“I write things down when I get home.”
“I have a computer.”The general consensus seemed to be that field notebooks are quaint, archaic, and obsolete in field biology.
Hybrid journals
The most useful and interesting notebooks of field biology are hybrids; as well as recording details and data of field research, they record the observations, thoughts, musings, and peregrinations of the author.
A fertile incubator
Another value of field notebooks is their ability to serve as an incredibly fertile incubator for your ideas and observations. By jotting down interesting observations, questions, and miscellaneous ideas, your field notebook can serve as a powerful catalyst for new experiments and projects.
Best practices
- Use a hardbound notebook.
- Keep your contact information in a prominent location.
- Write for yourself and for posterity.
- Write pertinent field information with every new entry. You should enter the date, time, and location at the top of every page.
- Add information on your location.
- Record your methods.
- Make backup copies.
- If you use abbreviations, make sure there is a key in your field notebook.
- Don’t leave home without it.
- Form a writing habit. Thomas Jefferson was such an inveterate chronicler of daily events in his notebooks that he even took the time to record the weather four times on the day he helped write the Declaration of Independence. So unless you have something far more pressing than writing the Declaration of Independence, you have no excuse for avoiding your field notebook!
- Set up a structure for your field notebook.
- Create an index.
- Treat your field notebook like a scrapbook. You should view your field notebook as a central clearinghouse for miscellaneous information that is relevant to your research project. If there are related bits of information that you will find useful later on, sketch them, write them down, photocopy them, and staple or tape them in your notebook.