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.
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.
Edward Snowden is still on the run; he is still in the transit area of Moscow’s Sheremetyevo Airport without a passport to enter Russia. But if ever succeeds in extricating himself from his current predicament, Snowden presumably will seek to land in a country without an extradition treaty with the United States.
So in this interactive piece, the Guardian explores which countries have such treaties. The list serves as an index to the actual treaty texts. Beneath the globe are samples of different texts that show how an extradition treaty is drafted. The last piece highlights three countries that are possible options, but also options that have extradition treaties in place.
Extradition Treaties with the United States
Credit for the piece goes to the Guardian US Interactive Team.
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.
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.
As I have been blogging the past several days, today the Supreme Court will announce its rulings on the two gay marriage cases. But, I have already looked at that twicenow. Today I want to look at the results of the Massachusetts special election for the US Senate, necessitated by John Kerry resigning from the seat to become Secretary of State.
This work comes from the Huffington Post. It offers the usual map fare with towns coloured by the victor and tinted by the share of the vote. Though do note the interesting—is this novel?—means of filling in the town with colour to represent the percent of the town reporting. My screenshot is a bit late, but check out Warren near Springfield or Boston and Cambridge—a bit harder to see because of their size and shape.
Looking across the state for the results
However, the fascinating thing is the use of the small multiples of scatter plots to look at historic elections. The designers included a small key in the upper-right explaining that dots above the line represent towns where Ed Markey, the Democrat who won, outperformed the historic Democrat. I have not seen anybody attempt to portray the data in this fashion before.
Using a scatter plot to chart the results
Credit for the piece goes to Aaron Bycoffe and Jay Boice.
In today’s post we look at a small interactive piece from the Washington Post. Everybody pays taxes. And everybody seeks to find ways to pay less in taxes. This interactive stacked bar chart (and bar matrix) examines how much the different available tax benefits help Americans, grouped into income quintiles. The measure is dollars, not percentage of income (either personal or national), so clearly highest income Americans are the big winners in tax benefits while low income Americans lose out. For example, most low income people do not make enough money to invest in the stock market. Therefore they cannot reap the benefit of preferential tax treatment of dividend income as opposed to wage income.
Privacy is the hot topic these days. And in this interactive piece from the Washington Post, we can see which state and federal agencies may have your photograph to run face recognition software without your arrest. The bubble chart, which is broken into four different levels of search permissions, maps out how many photographs are stored. Beyond that, however, the piece personalises the story by asking you a few simple questions to reveal just who may very well have your face. Below is where my ugly mug is stored.
My photograph can likely be found in red.
Credit for the piece goes to Darla Cameron and Craig Timberg.