Today’s graphic looks at the backlog of aircraft delivery, i.e. the manufacturing of civilian aircraft. Why? Because Boeing is attempting to increase production of its 787 Dreamliner. And this weekend I arrived in Chicago from Warsaw via a 787.
This is a really nice piece from Thomson Reuters that looks at the manufacturing lines for both Boeing and Airbus and how many planes have yet to be delivered. The annotations really help to explain some of the stories behind some of the aircraft and their delayed deliveries.
Aircraft manufacturing backlog
Credit for the piece goes to Simon Scarr and Christian Inton.
After two weeks out of the country, I come back and find early this morning (thanks, jet lag) an interactive article published by the New York Times on income mobility. What does that mean? From a medium side, a long narrative interspersed with charts and graphics with which the user can interact to uncover specific data about specific elements in the dataset. From a content side, income mobility means the movement of an individual from one group of money earned to another, e.g. a poor person becoming a millionaire. The piece is fantastic and you should take the time to go read and interact with it.
A map shows the broad context of the data to be looked at in the story
For some time now I have harped on about the need to annotate and contextualise datasets. Too often, large datasets paralyse people; their eyes glaze over and they simply gaze at a graphic without seeing the data, the story, the information. Little notes and blurbs of text can help people synthesise what they see with what they read with what they know to gain better understanding. But in this piece, by combining a lengthy article—very well written although that is not the focus of this post—with powerful interactive maps and graphics, the New York Times has created a powerful piece that states and then proves the point of the article. And while doing all of that, by making the datasets explorable, the Times also allows you to find your own stories.
A story-like piece lets you choose an area and an income to see how the article's topic plays out
Lastly, in the credits section at the end you will see this piece required the input of eight individuals (though I know not in what particular capacities). Clearly, for the Times this is not about to become a regular type of infographic/datavis/journalism piece. But when will skill sets be democratised or dispersed enough that smaller teams can create similar scale projects? That will be interesting to see. However, the Times certainly leads the States if not the world in some of the best information design pieces and undoubtedly this will push other publishers of similar content in this direction.
Ultimately people want to know who's best and who's worse and where they fall and this chart does that at the end of the piece
Credit for the piece goes to Mike Bostock, Shan Carter, Amanda Cox, Matthew Ericson, Josh Keller, Alicia Parlapiano, Kevin Quealy, and Josh Williams.
If all is going according to plan, I should be somewhere in the Carpathian Mountains at this point, specifically in the Presov region of Slovakia. So as a reminder of just what that means, here is a (recycled) piece I created this time last year about the Carpatho-Rusyns (sometimes known as Ruthenians) living in Slovakia. Click the image to go to the full infographic.
Cropping of the Rusyns of Slovakia
Credit goes to me for the piece, but to the statistics office of Slovakia for the data.
It’s Friday. So what else could you want but cat videos?! On the internet?!
But seriously, that’s what I have for you today. But with a twist. The BBC and the Royal Veterinary College collaborated to document a day in the life of cats by attaching collars with micro-cameras and GPS trackers to several felines in one English village. Cats are selected by illustration at the top of the graphic. Their day’s walking path is traced out over the village while video clips of some of the more interesting parts of the day are available to watch.
A day in the life of Phoebe the cat
Credit for the piece goes to Steven Atherton, Chris Finch, Alex Ranken, Lucy Rodgers, Helene Sears, Marina Shchukina, and Noah Veltman.
Corporate taxes are always a fun discussion point. Who pays too much? Too little? Not at all? In May, the New York Times published an interactive piece examining US companies and their effective tax rates from 2007 through 2012.
At its core, the piece is a bubble chart along one axis that plots the tax rate for the company, with the bubble sized proportionally to said company’s market capitalisation. Colours reinforce the tax rate plotting, but are not themselves necessary. I think they would have been better tied to something along the lines of industries or profit or sales growth.
Overall corporate tax rates
Of course that was when I saw the button for viewing the data by industry. The view of all companies is broken up into a series of charts about each particular industry. And of course, if you want information on a particular company, the smart search/filter is particularly useful.
Corporate tax rates by industry
Credit for the piece goes to Mike Bostock, Matthew Ericson, David Leonhardt, and Bill Marsh.
Today’s piece comes to me from my colleague Eileen. The Harvard Business Review published a report commissioned by Steelcase that looked at how different cultures prefer different office layouts, based upon different attitudes and traits exhibited by the people of different countries. That lead to three different types of spatial layouts.
But what is really nice is that the piece prompts you to start through an example or case study to see how the data works to shape the conclusion. You can of course skip to the data exploration mode, but that is not the default mode. But when you do arrive at the exploration area, you can click through different countries and see how their surveyed opinions plot against each other.
Cultural characteristics
And if you want to understand more about the different layouts presented for each group of countries, you can click on the layout to bring up more information. This panel of information provides context and explains just how the general traits shared by those geographies leads to the preferred office space layout.
Explaining a layout
Credit for the piece goes to Christine Congdon and Catherine Gall.
Line charts can be a great way of looking at the impact of event over a metric over a set period of time. But what happens when you want to look at multiple metrics over that same period of time?
In this example from the New York Times, we have a series of line charts examining the impact of Federal Reserve actions over several years. Instead of attempting to conflate and confuse the issue by combining multiple charts into one, the designers chose to construct a vertical-running story that is linked by running narration. The final piece looks at four metrics: Federal Reserve assets, the S&P 500 index, the unemployment rate, and the labour force participation rate.
Federal Reserve actions
The use of the coloured bars in particular works to create and enforce the vertical narrative. The colour consistency across the four charts also aids in that effort. While an option like four small charts could have worked in one visual screen space, you would likely lose much of the detail and fidelity in the lines.
Credit for the piece goes to the New York Times graphics department.
Earlier this year the National Transportation Safety Board (NTSB) recommended changes in the current blood alcohol limits to reduce youth drunk driving. The NTSB wants the limit dropped/increased from 0.08 to 0.05. Fun side note, technically, the NTSB needs to have the states enact this on their own accord because such limits are not federal power. Instead, the federal government uses the threat of witholding federal transport money as a means of urging states to comply.
Anyway, the New York Times took a look at the data on fatal crashes and blood alcohol in two heat charts. The first looks at the ages of drivers. The youth problem is self-evident.
Alcohol-related traffic fatalities by age
Toggling to time of day shows perhaps a more commonly thought pattern: drunk driving rises significantly after midnight.
Alcohol-related fatalities by time of day
In general I think the piece is very successful. In particular, the breakout or separation of the new limits shows in clear relief how important those three hundredths could be in lowering alcohol-related traffic fatalities. And as seems to be increasingly the case with at least the Times, the use of annotations makes the story told by the data far clearer.
Perhaps the only design quibble I have is the shape of the squares. The rounded corners create weird, little white gaps between cells. And especially in the darker fields, they distract me more so than small, thin borders otherwise would.
Credit for the piece goes to Alastair Dant, Hannah Fairfield, and Andrew W. Lehren.
The National Post published this fascinating infographic on the Canadian fur industry. Historically speaking, that industry is one of the most important to Canada being one of the primary reasons for Canada’s colonisation by France and later the United Kingdom (to a lesser extent). The graphic provides illustrations of the pelts to scale along with data on the volume and value of the trade in each type of fur. Then it maps the ranges for each of the animals with a matrix of small multiples.
Canadian Fur
While it may not be a mistake, I am curious about the two areas of polar bears in the northern United States. Methinks that the Rockies, while snowcapped, would be a bit warm for the bears.
Credit for the piece goes to Joe O’Connor, Andrew Barr, Mike Faille, and Richard Johnson.
Last week I looked at a piece from the Washington Post about the possible impact of the Supreme Court rulings on gay marriage in the United States. But with the rulings yesterday, we step back and look at globally how the progression of gay rights has taken steps forward or backward.
The National Post looked at the reversal of bans of gay marriage as well as polling from several countries to look at changing opinions and perspectives across the world. Fascinating/horrifying are some of the stories about specific countries in the map.
Gay acceptance
My only real criticism is that the colour-coding of regions seems a bit jarring. I wonder if grouping countries by region would not have allowed the same data to be presented in a bit quieter tone.
