Several months ago the Economist looked at city liveability, which in their words looks at safety, healthcare, educational resources, infrastructure, and environment. And, well, it turns out that Canada, Australia, and New Zealand do really well. The only two cities not in those countries within the top-ten: Vienna, Austria (no. 2) and Helsinki, Finland (no. 8).
City liveability index
What I like about the dot plot is the separation of the data into three sections based on city movement. Those moving up on one line, those moving down on another, and then those with no change plotted in the centre. The cities with the most change in each of the movement sections are then called out in bold. Simple, but clear and effective.
Credit for the piece goes to G.S., K.N.C., and G.D.
I really enjoy reading articles where graphics accompany the text and not just for the want of graphics. While the Ebola outbreak in West Africa is tragic, the data allows for some nice visualisation pieces. Additionally, one could say that the United States is victim to quite a bit of scaremongering as a result of a few isolated cases of Ebola in Dallas, Texas. Spoiler, an Ebola outbreak is not really a threat to the United States or Western Europe. Perhaps to relieve some of said scaremongering, the New York Times has a nice article titled Ebola Facts that outlines just that, the facts about Ebola. And guess what? The article is accompany by a number of useful inline graphics.
Credit for the piece goes to the New York Times’ graphics department.
Yesterday we looked at the growth of inland cities. Today, we follow up with a piece from the Economist that examines the political leanings of America’s larger cities. As one might imagine, the larger cities generally trend liberal. But the most conservative American cities are actually not very conservative. They are better described as centre-right.
The liberal/conservative nature of American cities
America loves its gun. The big draw of this piece from the Washington Post is the illustration of the guns used in the mass shootings and whether each was legally or illegally acquired. But more interesting from a data visualisation standpoint are the charts below. They show the numbers of killers, victims, and then the demographics of the killers.
Killers and Victims
Credit for the piece goes to Alberto Cuadra, Richard Johnson, Todd Lindeman, Ted Mellnik, and Kennedy Elliott
Happy Friday. Happy Memorial Day Weekend. Happy Summer. Just about all of those things mean a drink of some kind. And thanks to Time, we can look at ourselves and find out what drinking culture each of us best reflects. The data comes from the WHO and looks at both total consumption and then share of consumption.
The countries which I drink like
So last week I drank like a Moldovan and most nearly like an Antiniguan. Of course, they meant Antiguan. It just so happens I caught the spelling error. But since most of last week can be chalked up to a house party, I did the week before too. Then I drank like a Belarusian in the style of Guyanese person.
And for those of you who know me, yes, things like this are exactly why I record all the drinks I consumer in my little black book.
Here’s a piece from the New York Times where I have to quibble with some minor design decisions. The story behind the graphic is various state actions on the minimum wage compared to where President Obama wants the minimum wage raised. This is a good story and broadly I like the execution. But these arrows, these arrows pierce my design heart. (Too much of a metaphor?) Instead, I think a simple dot plot would have sufficed. But as I noted above, this is more of a quibble than a shame-on-you.
The Washington Post published this dot plot graphic to explore inequality in household income across numerous American cities.
Household income inequality
The chart, as most dot plots do, does a good job of showing where several distinct points within a set fall within the entire range of data. Or to put it into other words, where do the poorest, the richest, and the most middlest households in Philadelphia fall within all Philadelphia households? The data is interesting because you will begin to uncover some significant outliers. For example, by quick glance, the 50th percentile in both Detroit and Cleveland earn less than the 20th percentile in San Jose.
Credit for the piece goes to the Washington Post graphics department.
I have spent this past week in Lithuania for work. And it was cold. But it was colder still in Chicago. Thankfully on a Friday we have xkcd to put all this cold into a bit more perspective. Although his example uses St. Louis, I presume it holds for most cities.
Today’s post looks at education across a set of 65 countries from a standardised test backed by the OECD, basically a group of wealthy countries. The test results found that some poor countries have surprisingly good education systems whereas some of the world’s wealthiest countries—here’s looking at you, United States—perform poorly. The Huffington Post created this graphic to plot the data.
I really enjoy this piece. It plots each income decile’s results, blocks the countries into OECD members versus their partners, and then each country’s average socioeconomic status is shown as being above or below the OECD average. This is the type of piece I see as a static image that I would want to see made interactively—though I fully understand how difficult and time-consuming that can be—so that I could begin to filter and re-arrange the data. Could discoveries be made by organising countries by geographic regions? Could one just look at the top or bottom deciles?