All strapped in?

Nearly 16% of US consumers now own wearables
“Fitness bands continue to outsell more advanced smartwatches,” reported Lauren Guenveur, Consumer Insight Director for Kantar Worldpanel ComTech. “In the fourth quarter of 2016, just 35% of wearables purchased in the US were smartwatches, a decline from 40% in the third quarter of 2016.

Well, I’m very happy with my fitness band, though it feels like we’ve all voluntarily bought electronic tags like a load of criminals.

All the graphs you can eat

What’s better than data and loads of graphs? Data and loads of graphs about food and drink, of course!

Britain’s diet in data
The British diet has undergone a transformation in the last half-century. Traditional staples such as eggs, potatoes and butter have gradually given way to more exotic or convenient foods such as aubergines, olive oil and stir-fry packs. Explore the changes across four decades and hundreds of food and drink categories in this interactive visualisation, featuring data from the Department for Environment, Food and Rural Affairs (Defra).

Whilst I’m not surprised to see the fall of lard and the rise of olive oil over the last 40 years, why is nobody buying marmalade anymore? Goodness me.

Visualising data; the good, the bad and the quirky

The data’s everywhere, but can we make sense of it? Here are some data visualisation approaches and examples – how to do it, and how definitely not to.

This article suggests the young folks are demanding better presentations of statistical data because of Google or Wikipedia or something. Sounds fishy. Surely us old folks appreciate good design too?

Data visualization drives the era of information activism
Having grown up with the web, millennials are used to having access to all the information they want with just a simple finger tap on a screen. As millennials enter the workforce, they are bringing these expectations into the office, behaving less as data consumers and much more as information activists.

But how far should we go in leading the horses to the water?

Narration and exploration in visualization
What should we emphasize when designing a visualization? Should we explain the data, perhaps through a narration, or should we let readers explore the data at will?

Here’s an example of how an interactive presentation not only helps with a story but can spur you into looking for your own.

What happens when a newspaper editor and a data-viz whiz team up to tell stories
With two wins behind them, Rob and Daniel are already discussing future collaborations—perhaps something with sports or crime data. The idea is to tell compelling data stories that have a longer shelf life. (“If you put time into creating something like this, you want people to see it over a certain scale of time,” says Daniel.)

I do like these images, though. Not sure how replicable this approach is, but it works well here.

These playful, funny 3D printed infographics can liven up any data
Instead of flicking hastily to the next page, your gaze can’t help but linger on the adventures of the miniature figures scaling, swinging from or exploring the plastic pieces.

But here are the real gems. Bar pies? Caramel latte football fields?

BestWorstViz contest result
As with last month’s graphiti contest, picking a winner was ever so hard with lots of wonderfully bad work heading my way. The submissions generally fell into two different camps: (1) the most blatant, inelegant in-your-face explosions of design awfulness, and (2) the more subtly deceptive “wolf in sheep’s clothing” designs. My judgments were based on the degree of violation against each of my three key principles: Trustworthy, accessible and elegant.

Still quantifying ourselves?

daytumapp

Didn’t realise I’d been away from Daytum for so long.

For those that don’t know, and why should you, bloody hell, Daytum was part of a trend on the web some time back for personal data tracking, the ‘quantified self’. Here’s a post from Wired about it, from 2009:

Numbers are making their way into the smallest crevices of our lives. We have pedometers in the soles of our shoes and phones that can post our location as we move around town. We can tweet what we eat into a database and subscribe to Web services that track our finances. There are sites and programs for monitoring mood, pain, blood sugar, blood pressure, heart rate, cognitive alacrity, menstruation, and prayers. […] All this might once have seemed like a nightmare […] But two years ago, my fellow Wired writer Kevin Kelly and I noticed that many of our acquaintances were beginning to do this terrible thing to themselves, finding clever ways to extract streams of numbers from ordinary human activities.

– Gary Wolf, Know Thyself: Tracking Every Facet of Life, from Sleep to Mood to Pain, 24/7/365 (wired.com)

Daytum, developed by Nicholas Feltron (of the well known Feltron reports) and Ryan Case, Daytum allows you to easily capture and categorise small bits of information, and then present these in quite interesting, visual ways with the aim of providing a little insight into how we live our lives. For a while, all the way back in 2009, I was tracking how much coffee I got through, what I was reading, which were my favourite ties, that kind of thing.

I don’t know what made me think of Daytum again, but I thought I’d catch up with it again.

Its blog, however, ends with this post from April 11, Moving West:

We’re thrilled to announce today that we just started a new phase of our careers: we’ve moved to California to join the product design team at Facebook […]

and the last tweet from the @daytum Twitter account is:

Doesn’t bode well, but then, just the other week coincidentally, this one from founder Nicholas Feltron:

So perhaps there might be some life left in it yet?

And I’ve forgotten all about your.flowingdata.com too. But that, like Daytum and much of the quantifying self scene, seems to have gone a little quiet.

Worrying statistics?

Worrying statistics

Documenting the curious increase in claimed family deaths — especially of grandmothers — during tests season at college
This gem is from “The Dead Grandmother/Exam Syndrome and the Potential Downfall Of American Society” by Mike Adams (The Connecticut Review, 1990). Adams’ hilarious explanation for this phenomenon:

“Only one conclusion can be drawn from these data. Family members literally worry themselves to death over the outcome of their relatives’ performance on each exam. Naturally, the worse the student’s record is, and the more important the exam, the more the family worries; and it is the ensuing tension that presumably causes premature death.”
www.easternct.edu/~adams/Resources/Grannies.pdf