Today’s post is a scatter plot from Thomson Reuters looking at changes in global life expectancy since 1990. What is really nice about this piece is the main space for the data visualisation presents all of the data for all of the available countries. Beneath the main visualisation, the designer chose to use small multiples of the same chart to highlight broader regional trends.
Credit for the piece goes to, I think, Hwei Wen Foo. (Credit on the graphic is W. Foo.)
Well maybe not so much the space. Anyway, Nicolas Rapp, who does a lot of work for Fortune Magazine and previously the AP, created his first connected scatter plot. I have been a fan of them for quite some time and have been able to use them from time to time. Rapp’s scatter plot looks at the profits and revenues of the Fortune 500 in the last 20 years. But what I think makes his piece particularly strong are the two annotations he provides to explain the “loops” in the data: the two big recessions.
Credit for the piece goes to Nicolas Rapp.
Earlier this month the Federal Reserve Bank of New York published a report on household debt. Among the findings was the story that student debt is rising to problematic levels as it may act as a brake on economic recovery. In short, without an economy creating jobs for the young (recent university graduates) it becomes increasingly difficult for the young to pay pack the loans for the sharply rising costs of university tuition.
The report made this argument by use of interactive choropleth maps and charts. The one below looks at
But another chart that talks about the rising levels of student loan debt misses the mark. Here we see some rather flat lines. Clearly student loans are growing, but without a common baseline, the variations in the other types of debt muddle that message.
I took the liberty of using the data provided by the New York Fed and charting the lines all separately. Here you can clearly see just how in less than ten years, student loans have risen from $200 billion to $1,000 billion. This as credit card debt is falling along with other forms of debt (non-automotive).
The New York Fed did some great work, but with just one tweak to their visualisation forms, their story is made much more powerful and much more clear.
Credit for the original work goes to the Federal Reserve Bank of New York.
Here’s an older, March graphic from the New York Times that looks at Alaska Airlines. This exemplifies what maps do well; it maps relevant data onto a map. Perhaps that reads silly, but too often people map data just because most things are tied to a geography; things that happen in the world happen somewhere, ergo everything could be mapped.
In this graphic, however, mapping the tight and Alaska-focused network with tendrils sneaking off-map to distant cities. The map supports the article that tells how after decades of focusing on Alaska, the airline has begun to expand to Midwestern cities in the US, cities in Mexico, and Hawaii.
I am not terribly keen on the stacked bar chart. It highlights the steady Alaska market over the decades at the cost of showing dynamism in those Midwestern, Mexican, and Hawaiian markets.
Credit for the piece goes to the New York Times Graphics Department.
Last year Hurricane Sandy wrecked swathes of the Jersey Shore and Long Island. Since then, authorities and officials have been busy preparing and rebuilding the shore for the unofficial start of summer: Memorial Day Weekend. This interactive map from the New York Times looks at what will be open for Memorial Day from Connecticut through Long Island to as far south as Margate.
Once you find your preferred beach, you can see the details of what will be open, closed, or otherwise different. This is the view for Atlantic City, nearest to the southern New Jersey shore towns where I spent so many years but are left off the map.
Credit for the piece goes to Jenny Anderson, Lisa W. Foderaro, Tom Giratikanon, Sarah Maslin Nir, Robert Davey, Christopher Maag, and Tim Stelloh.
Today’s Friday. So maybe at this point, after a week of baseball-related posts, you are ready to go see a game yourself. If you go, here is a flow chart from SB Nation to help you choose your foods and drinks for the game.
Credit for the piece goes to Eric Wayne.
Strikeouts are an important part of baseball. They are the moments where the pitcher wins the duel between pitcher and batter that is the essential element of baseball. But over the years the game has seen more and more batters striking out more often. Earlier this year the New York Times looked at the rising rates of strikeouts in a story supported by interactive data visualisation components.
Like the piece on Bryce Harper, this piece on strikeouts is more of a narrative with the interactive graphics supporting the written words. It is not as lengthy as the Washington Post’s piece, but this one is far more interactive as the user can select his or her favourite teams and follow their performance over time.
Credit for the piece goes to Shan Carter, Kevin Quealy and Joe Ward.
In Chicago there is much ado about renovating Wrigley Field. As a Red Sox fan, I can only say that the Fenway renovations are being well-received. A little while back, the Chicago Tribune illustrated just what these proposed changes will be. The first image was from the above the fold section, and the second was a smaller set of illustrations that were below the fold.
Really, it’s just always a treat to be able to post printed graphics.
Credit for the pieces go to the Cubs and Chad Yoder of the Tribune.
Bryce Harper is undoubtedly one of the best baseball players in the game today. To put it simply, he hits. And he hits well. And he hits well often. So the Washington Post put together an interactive, long form piece about Harper’s swing and hitting.
The piece begins with a narrated video outlining the science behind Harper’s swing. Then the reader can down into the piece and learn more about Harper’s history and development and how he compares to other hitters. Statistics and data visualisation pieces show just how impressive Harper is as a hitter and how pitchers are trying to combat that.
Interactive long form articles are appearing more and more often online. But this is perhaps the most data- and science-intensive piece I have seen thus far. What is particularly nice about the format is that, as I have often noted, annotations and explanations are what make good infographics and what move data visualisation from presentational to informational. That this piece in particular happens to be about baseball, well, all the better.
Credit for the piece goes to Adam Kilgore, Sohail Al-Jamea, Wilson Andrews, Bonnie Berkowitz, Todd Lindeman, Jonathan Newton, Lindsay Applebaum, Karl Hente, Matthew Rennie, John Romero, and Mitch Rubin.
The Boston Red Sox are in Chicago this week to play the other Sox, i.e. the White Sox. So this week we have a bunch of baseball-related pieces. The first is this recent interactive graphic from the New York Times. It is a daily-updated graphic that looks at the payroll of all Major League teams that is tied up on players on the Disabled List, i.e. those unable to play because of injuries.
Clearly the Yankees are paying a lot of money for no production. You can go down the list and compare each team’s total spending. But if you want intra-team details, the piece offers you the ability to look at player-by-player salary details. Interestingly one of Chicago’s baseball teams ranks just above the Red Sox while Milwaukee sits just below.
Credit for the piece goes to Shan Carter, Kevin Quealy and Joe Ward.
