The Best and Worst States for [Insert Topic]

It’s Friday, and mercifully this is a Friday before a three-day weekend. (For all of those who, like me, have a day off coming up on Monday.) So before everyone starts travelling to places here and there and everywhere in between, you best check this series of maps. Why? Because Business Insider has polled us, well 1600 of us, to find the best and worst states for a number of metrics. My personal favourite:

“Most likely due to the fact that most Americans have never been to Philadelphia, the rest of the country believes New York also has the worst sports fans. I blame John Rocker.”

Worst sports fans
Worst sports fans

Credit for the piece goes to Walter Hickey.

More Internet, More Facebook

Mark Zuckerberg wants to get more people on the internet. And why not, it’s not like his company, a small entity you may not have heard of called Facebook, has anything to do with the internet. So this map by the Washington Post looks at what proportions of the world’s countries are using the internet.

Internet users
Internet users

Credit for the piece goes to Darla Cameron.

Say What?

This map comes from the Washington Post and it uses the American Community Survey to explore languages spoken by Americans at home other than English.

Who speaks what?
Who speaks what?

I got stuck (in a good way) on the seemingly random counties of German speakers. After I poked around a bit, I found one where almost 50% of the county speaks German. After some quick investigation, it turns out that Holmes County, Ohio is a centre for the Amish population. The Amish, of course, will often speak German or Pennsylvania Dutch, thus accounting for the abnormally high percentage of German speakers.

Credit for the piece goes to Dan Keating and Darla Cameron.

Road Kill

Driving can be dangerous. But perhaps most so in the developing world. The Pulitzer Center created this interactive map to allow users to explore just how dangerous driving can be.

A look at road deaths in Kenya
A look at road deaths in Kenya

Little windows provide details on countries the user rolls over. This data looks at deaths per 100,000 people, killer/victims, and lastly a rating of law enforcement across several different issues. The map also includes links to stories on the website as well as an information panel that related small bits of information about selected countries.

Credit for the piece goes to Tom Hundley and Dan McCarey.

US Life Expectancy

Earlier this summer I looked at a graphic by Thomson Reuters that compared life expectancy changes across the world from 1990 to 2011. Last month, the Washington Post published an interactive graphic that explores life expectancy (along with obesity and physical activity) across the United States from 1985 to 2010.

Changes in female life expectancy
Changes in female life expectancy

What I really enjoy about the piece is that each toggle for the health condition, i.e. life expectancy, obesity, physical activity, the text beneath swaps out to explain what the story is. Context is key. But then the ability to flip between the actuals and the growth for both men and women allows the user to really explore the data. And to see that growth or lack thereof is not even across the sexes.

From the design side, a minor point worth noting is the use of different colour palettes based on the mapped metric. The actual values (with the greater range) use a darker green-blue and tint that down whereas the growth values (all of three conditions) are in a different palette. Here it works, though I am more accustomed in similar pieces to seeing the swapping of palettes for changes in the mapped metric.

Beneath the big map, however, are two components also well worth the user’s attention. Perhaps deceptively simple, two sets of line charts, they add (again) context to the data. For example, while it is great to see life expectancy in the United States improving, when you compare that to the rest of the developed world, we are falling behind.

Overall a solid piece.

Credit for the piece goes to Patterson Clark, Kennedy Elliott, and Katie Park.

Mapping Hepatitis vs HIV

I don’t often write about maps, especially of the choropleth kind. In many cases I choose not to because so many of the maps are one-dimensional: how fast is x growing across the world; which is predominant across the world, y or z? So I was pleasantly surprised by the Economist yesterday when they published this interactive map on the scourges of hepatitis and HIV.

Hepatitis vs HIV
Hepatitis vs HIV

Quickly put, the map is a success. It shows a clear geographic pattern; the developed/Western world along with the Middle East and Asia have a larger problem in hepatitis than HIV whereas Africa and Latin America are dealing moreso with HIV. (Admittedly, the fact that 117 out of 187 countries are dealing more with hepatitis is lost because so many of the countries are small in area.) But, the really nice bit about the map is not just the colour by virus, but the tint by comparative ratio. The darker the colour, the stronger the one virus over the other.

Lastly, from a data perspective, I just wonder if the ratios could not be adjusted for population, or deaths as a percentage of the national population? I would be curious to see if that would yield interesting results.

Credit for the piece goes to C.H., R.L.W., J.S., and D.H.

Charting and Mapping Income Mobility

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
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
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
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.

http://www.nytimes.com/2013/07/22/business/in-climbing-income-ladder-location-matters.html?smid=pl-share

The Carpatho-Rusyns of Slovakia

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
Cropping of the Rusyns of Slovakia

Credit goes to me for the piece, but to the statistics office of Slovakia for the data.

Extraditing Snowden

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
Extradition Treaties with the United States

Credit for the piece goes to the Guardian US Interactive Team.

Gay Acceptance

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
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.

Credit for the piece goes to Richard Johnson.