Process unclear

Another day, another flowchart trying to explain the remaining Brexit options, at the end of this article from the BBC on Jeremy Hunt’s take on recent events.

Brexit: Jeremy Hunt says ‘absolute priority’ to avoid European polls
The foreign secretary said the public would find it “hugely disappointing” to be asked to send MEPs to Brussels. Asked if it could be a disaster for the Tories, he told the BBC “in terms of polling it certainly looks that way”.

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Want more?

Brexit: What happens now?
The UK was originally due to leave on 29 March. The first extension shifted that date to 12 April. But now the UK now has just over six months to decide what it wants to do.

Government ministers are continuing talks with Labour leaders to try to find a compromise deal. If they can agree, MPs will be given a chance to vote on the deal. If not, a range of alternative options will be put to them instead.

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Self-improvement

The Economist’s charts are usually very clear and helpful, but that’s not to say they can’t be improved – as they themselves show.

Mistakes, we’ve drawn a few
At The Economist, we take data visualisation seriously. Every week we publish around 40 charts across print, the website and our apps. With every single one, we try our best to visualise the numbers accurately and in a way that best supports the story. But sometimes we get it wrong. We can do better in future if we learn from our mistakes — and other people may be able to learn from them, too. […]

Misleading charts
Let’s start with the worst of crimes in data visualisation: presenting data in a misleading way. We never do this on purpose! But it does happen every now and then. Let’s look at the three examples from our archive.

Mistake: Truncating the scale

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Explaining the Brexit endgame

Another Brexit vote, another significant defeat. Here are a couple of useful charts outlining what might happen next.

The Brexit state of play: a guide to this week’s crucial votes

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Here’s a version from Quartz, set on a calendar. An interesting note on 18 April…

Every possible remaining Brexit outcome

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It’s enough to drive you mad.

Brexit has become a mental health issue
Hamira Riaz, a clinical psychologist based in the UK, says it’s not surprising that the uncertainty over Brexit is weighing on mental health. If “you suddenly find that decisions that are made on a national level are impacting your material security, that is definitely going to be a significant negative life event,” she explains. “And we know that people facing significant negative life events can tip over into mental health issues—such as depression and anxiety.”

[…]

The UK’s National Health Service could find itself less able to address mental health issues in the near future. An NHS briefing (pdf) last year said Brexit’s impact on mental health services would be “far reaching,” in part because of the risks it poses to the supply of workers. About 165,000 NHS employees are EU nationals, and while those that are already in the UK can apply to stay, domestic recruitment alone won’t be able to meet future staffing needs.

And how about this for a summary of the key issues here?

🇬🇧🔥 Brexit, Briefly: REVISITED! 🔥🇪🇺

Size matters

How long is the perfect book?
British novelist E.M. Forster once complained that long books “are usually overpraised” because “the reader wishes to convince others and himself that he has not wasted his time.” To test his theory we collected reader ratings for 737 books tagged as “classic literature” on Goodreads.com, a review aggregator with 80m members. The bias towards chunky tomes was substantial. Slim volumes of 100 to 200 pages scored only 3.87 out of 5, whereas those over 1,000 pages scored 4.19. Longer is better, say the readers.

The phenomenon that Forster describes, akin to literary “Stockholm syndrome”, is only one possible explanation, as the article goes on to explain.

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I like that phrase, ‘literary Stockholm syndrome’. I wonder, though, if the age of the reader is relevant — I certainly feel less patient with these longer books as I grow older. (And less patient generally, if my family is to be believed!)

Weeks, years, aeons

I have a birthday coming up in a few days and I was going back over this post that links to a Wait But Why article on how to see all the weeks in your life in one go.

Your life in weeks
Sometimes life seems really short, and other times it seems impossibly long. But this chart helps to emphasize that it’s most certainly finite. Those are your weeks and they’re all you’ve got.

I’ve found it very useful to go back to my own version of this, to remind myself of where I’ve been and how fleeting situations are sometimes. But I hadn’t realised there was another article there that gives you a much broader — but still very relatable — perspective on time.

Putting time in perspective
Humans are good at a lot of things, but putting time in perspective is not one of them. It’s not our fault—the spans of time in human history, and even more so in natural history, are so vast compared to the span of our life and recent history that it’s almost impossible to get a handle on it. …

To try to grasp some perspective, I mapped out the history of time as a series of growing timelines—each timeline contains all the previous timelines.

You move quickly through the last day, week and year, through timelines of a 30 year old and a 90 year old, all the way back to when humans diverged from apes, and the ages of the Earth and Sun.

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History is much closer than you think.

Drawing data

With perhaps the funniest headline I’ve seen in a while, the ever-reliable It’s Nice That website has this interview with the remarkable Mona Chalabi, as part of its International Women’s Day series:

“If it’s about farts, draw a butt for god’s sakes”: Mona Chalabi tells us how to illustrate data
By day, Mona is a data editor at the US version of the Guardian where she uses self-taught illustration methods to bring data to life. Covering everything from body hair removal to the popularity of nose jobs in the US to the number of decapitated animals found in New York parks, Mona’s tongue-in-cheek approach to information communication has won her column inches and an immovable place in our hearts.

There are many more of her illustrations on her website, as well as links to her journalism and videos.

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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.

But who could possibly hate Excel?

This tool makes it stupid simple to turn data into charts
Here’s something handy for people who hate Excel. Venngage, the company that lets you make infographics with the click of (a few) buttons, recently launched a new product called Beam. Beam does for charts what Venngage does for infographics as a whole. Which is to say, it makes the process of transforming data into useful visuals very, very easy.

And they look really spidery too

Another great Excel article from Mynda Treacy​, this time about her​​ views on radar charts. It’s safe to say she’s not a fan. Some great points here about data visualisation and how to get messages across. I’ve never used a radar chart, but that’s more because I’ve never really understood them.

Excel alternatives to radar charts
Radar charts display data in a circular fashion, which is the opposite of the straight line comparisons we’re able to subconsciously perform. This means we have to work hard to make any comparisons and as a result we’re likely to make mistakes in our assumptions.​

She mentions this article ​by Stephen Few, who weighs in further but does recognise when these radar charts might have their uses.

Keep radar graphs below the radar – far below (pdf)
This one advantage motivates me to ease up just a bit on my repugnance toward radar graphs.

Excel and the cat’s whiskers

Excel Box and Whisker Diagrams

Excel box and whisker diagrams (box plots)
Box and Whisker Charts (Box Plots) are commonly used in the display of statistical analyses. Microsoft Excel does not have a built in Box and Whisker chart type, but you can create your own custom Box and Whisker charts, using stacked bar or column charts and error bars. This tutorial shows how to make box plots, in vertical or horizontal orientations, in all modern versions of Excel.

Rain has fallen, generally cloudy

weathermap

The changing shape of UK weather: Historic maps show 142 years of rain, sun and wind
Thousands of weather maps throughout the past 142 years have been unearthed showing how fashion and technology have drastically changed the diagrams. The wealth of maps are largely drawn by hand and feature ink notes and tea cup rings as the Met Office did not draw maps on computers until 1981.

The shapes of stories

Shape of StoriesYes, I’m aware I’m linking to yet another brain pickings article, but I don’t care as I love this one. it’s Kurt Vonnegut drawing the shapes of stories, which leads him on to discussing the difficulties with distinguishing good news and bad news. And there’s a great video too.

Kurt Vonnegut on the Shapes of Stories and Good News vs. Bad News

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

From the leaders of Google’s data visualization research group

HINT.FM / Fernanda Viegas & Martin Wattenberg
“As technologists we ask, Can visualization help people think collectively? Can visualization move beyond numbers into the realm of words and images? As artists we seek the joy of revelation. Can visualization tell never-before-told stories? Can it uncover truths about color, memory, and sensuality?”

Links for 2009-11-25

  • The Pomodoro Technique™
    “The Pomodoro Technique™ is a way to get the most out of time management. Turn time into a valuable ally to accomplish what we want to do and chart continuous improvement in the way we do it.” Anything that uses lists, little boxes, ‘x’s and apostrophe markers can only be a good thing, right?
  • Testing Time-Management Strategies – WSJ.com
    “I asked a half-dozen executive coaches to help me pick the most widely used time-management systems—not just software tools or high-tech to-do lists, but behavioral-change techniques that help people get organized, clarify thinking and increase output. Then, I tried out for a week each of the three methods they mentioned most often—including one that involved a ticking plastic tomato.”  
  • 9 Ways to Visualize Proportions – A Guide | FlowingData
    “With all the visualization options out there, it can be hard to figure out what graph or chart suits your data best. This is a guide to make your decision easier for one particular type of data: proportions.” The pie, the donut, the stacked area, the stacked bar, the treemap, the voronoi, the nightingale (my new favourite) and the everything, all with links to real-world examples.