The Olympics are coming, the Olympics are coming. (As if you didn’t know.) In a rare moment of seeing my work outside of my company’s paywall, I can post a few infographics I have created for the 2012 Summer Games in London. The series looks at a few different non-Olympic variables like GDP per capita and mean BMI and sees whether they impact total medal counts in the Olympics.
This first datagraphic (to use my company’s internal language) looks at what makes a winner and will the UK be one this summer. The main chart in the piece compares GDP per capita performance to total medal count in each Olympic year from 1988 to 2008. And yes, we are predicting the UK to win a total of 65 medals this summer.
In the interest of full disclosure, I work as the senior graphic designer for Euromonitor International. This series was not intended to be used as part of marketing/promotional piece (I probably need to include the link to download that document here), but instead I designed them all as client-only content. But since others decided to use my work as marketing material, I am fortunately allowed to share it with all of you via my blog. So yeah, that’s pretty cool. Enjoy.
Oil, sweet oil. How we depend upon you for modern civilisation. BP published a report on world energy that Craig Bloodworth visualised using Tableau.
The piece has three tabs; one is for production, another consumption, and a third for reserves. (The screenshot above is for production.) But when I look at each view I wonder whether all the data views are truly necessary?
In production for example, is a map of a few countries truly informative? The usual problem of Russia, Canada, the US, and China dominating the map simply because they are geographically large countries reappears. Furthermore the map projection does not particularly help the issue because it expands the area of Siberia and the Canadian arctic at the expense of regions near the Equator, i.e. the Middle East. That strikes me as counter-intuitive since some of the largest oil producers are actually located within the Middle East.
A map could very well be useful if it showed more precisely where oil is produced. Where in the vastness of Russia is oil being sucked out of the ground? Where in Saudia Arabia? In the US? Leave the numbers to the charts. They are far more useful in comparing those countries like Kuwait that are major producers but tiny geographies.
Lastly about the maps (and the charts), the colour is a bit confusing because nowhere that I have found in my quick exploration of the application does the piece specify what the colours mean. That would be quite useful.
Finally, about the data, the total amount of oil produced, but more importantly consumed, is useful and valuable data. But seeing that China is the second largest consumer after the US is a bit misleading. Per capita consumption would add nuance to the consumption view, because China is over three-times as large as the US in population. Consequently, the average Chinese is not a major consumer. The problem is more that there are so many more Chinese consumers than consumers in any other nation—except India.
A bit of a hit and miss piece. I think the organisation and the idea is there: compare and contrast producers and consumers of oil (and consumers of other energy forms). Alas the execution does not quite match the idea.
Credit for the piece goes to Craig Bloodworth, via the Guardian.
The question with Apple computers is when to upgrade the operating system? Apple releases updates every few years. But, I might have to wait and skip the next one, Mountain Lion. After all, Apple is taking a step backward. xkcd explains:
Kickstarter has been around for a little while now, financing some interesting projects. The New York Times has an infographic about how much each project earned. And while there is nothing particularly fancy about each, they are all scatter plots, the quirk is that the time and value axes have been reversed from their customary positions. While unusual, it supports the longer range for the monetary figures and the short range for the three years of Kickstarter history.
Furthermore, the data is broken out into different industries, e.g. design, food, and dance, that have adjusted value scales to make intra-industry comparisons easier. Nothing fancy, but an attentive care to the detail of the data.