Today’s piece comes via a colleague. It is an article about hit-and-run cycling accidents in and around Los Angeles. The data visualisation in the article is not entirely complex—we are talking only about line charts and bar charts—but they support the arguments and statements in the article. And in that sense they are doing their job.
Locations of hit-and-run accidents in and around LA
Credit for the piece goes to Armand Emamdjomeh, Laura J. Nelson, and Joseph Serna.
To continue with the sports theme from yesterday, today we have an interactive map from Twitter that looks at NFL team popularity. The methodology is simple, where are the users following the various football teams and map that out by county. The overall blog post features a country-wide map, but then narrows down into a few particular stories. The image below is from the divide in the state of Pennsylvania between Eagles fans and Steelers fans.
Philly vs. Pittsburgh
Credit for the piece goes to Simon Rogers and Krist Wongsuphasawat.
I am an admittedly new user of the social network Instagram. But, for those unaware, it is basically an easy way of sharing visual content, e.g. photographs and videos. So from that you can see how it is a natural medium for the fashion industry. Well a little while ago Quartz looked at how the social network works for the fashion industry on Instagram. Quartz guides you through the piece in nine steps, but allows you to search for specific accounts.
The fashion network on Instagram
Credit for the piece goes to David Yanofsky and Jenni Avins.
A little while ago, LinkedIn put together a map looking at the disproportionately represented jobs and skills in cities in both the United States and Europe. That is different from the most common jobs but those that are “most uniquely found” in cities.
The unique skills of America’s various cities
Unfortunately the interface is a bit clumsy. For something that is about exploring different cities, I think the small area of the map could be bigger. And the highlighting functionality lags. But the overall idea is interesting.
And on a side note, while graphic design is not specifically covered, I found the list of skills for Chicago surprising. If only because I work as a designer for a company in the market research industry.
What is out there beyond our solar system? Are there little green men in flying saucers? Or Klingons waging war? The first step in figuring that out is knowing how many planets can be inhabited by life as we know it. This interactive graphic from National Geographic explores just that. And as it turns out, most of the exoplanets we have discovered are not habitable. But a few offer promise. If only we could warp on over and properly explore them.
Credit for the piece goes to John Tomanio and Xaquín G.V.
A couple of weeks ago I shared a map from the New York Times that looked at American college football programme loyalty. And I quipped that none of it made sense to me as someone born and raised in the Northeast. The New York Times followed that piece up with another that looks solely at Facebook likes of college football via likes for any team. Not surprisingly the sport does not do too well in the Northeast. But it does appear quite popular in other regions of the country.
Chester County is not big on it…
Credit for the piece goes to Neil Irwin and Kevin Quealy.
Today is an American holiday: Thanksgiving. We give thanks that European diseases and military technology allowed us to remove the native population for colonisation of the continent. We do that by watching American football and eating lots and lots of food. For dessert, well, we have dessert. But also gluttonous amounts of shopping. So in that spirit, here is the New York Times’ presentation of Thanksgiving recipes per state. The description is followed by an expandable recipe.
To be fair, I really am a fan of shoofly pie. But that’s just me.
Today’s piece comes from the Wall Street Journal. It looks at US retail and foodservice spending through different types of stores.
Retail sales by store type
I take issue with a few things, firstly the tree map. Because it’s not really a tree map. Another thing I am not keen on is the comparison feature in the piece. The user can select up to three types of stores to compare. And while the result works in the line chart—three lines—the bar chart devolves into a near useless component. There is no easy way to compare the actual lengths of the individual bars short of mousing over and scribbling down each individual datapoint. In the particular case here, I likely would have changed from bars to line. Because that way I can compare the actual magnitude of each store type.
Last week we covered the fall of the Berlin Wall and the lasting impact in former East Germany vs. former West Germany. This week we look at a piece from Bloomberg Businessweek that looks more broadly at Eastern Europe.
Looking at GDP per capita
The piece scrolls with the charts updating based upon the available text. And within that text are highlighted keywords with which the user can interact to highlight data within the charts.
Credit for the piece goes to Alex McIntyre, Peter Coy, Christopher Cannon, and Blacki Migliozzi.
As the title says, we are all going to die one of these days. But what are the odds that Ebola will kill you? Turns out it is fairly small. Smaller than your pyjamas catching on fire and killing you. Or even your regular clothes catching fire. How did I know that? Well, the Washington Post put together a nice interactive piece to do just that. It starts you out at Ebola and works up to the most likely causes of death. If you are looking for your morning pick-me-up, this might not be it. Fair warning.
Small chance Ebola will kill you
Credit for the piece goes to Richard Johnson and Lazaro Gamio.