Global warming is probably not the worst-branded concept out there, but it is not particularly effective. Mostly because it implies the world will warm and warm evenly. In truth, some parts will get colder, some parts drier, some parts wetter, and yes, some parts warmer. Hence the better term is climate change.
In the US, we have a tendency to be rather skeptical of climate change and the degree to which, if not whether entirely, it is due to mankind. So, the New York Times released the results of a survey about whether Americans believe recent weather events are related to global warming—their word choice, not mine.
While not all bars sum to 100, probably due to rounding, note how the bars are all aligned against the point of divergence between the scales of agreement and disagreement and then sorted according to agreement.
On the back burner of infographics to post is this piece from the National Post. The early data indicates that most of Canada’s high population growth rate comes from immigrants to the country. And while those details are not yet available, the piece looks at the 2006 data for an indication of from which places the immigrants are likely to come.
So Rick Santorum is now out of the race. Mitt Romney is basically now set to run against the President. But why should Santorum go out without an infographic looking back at the Republican primary race. (Since neither Newt nor Ron come even close to running the same race as Rick.)
The New York Times put out an infographic looking at Rick Santorum’s campaign. And as one can see, he did do well in the evangelical and Christian conservative heartland of the United States. It just was not quite enough to beat Romney’s supporters.
But, Santorum did manage to last longer in the race than many others have in recent years. So who knows, depending on how the election in November turns out, we may just see more of Rick in the future.
And the baseball season is kicking off (perhaps a bit slowly for my 1–3 Red Sox, but I’m not worried…yet). The Washington Post, the newspaper for those most likely to be following the Washington Nationals, put out a little while ago an interactive graphic looking at the payroll figures for the Top-3 starting pitchers in each team’s rotation.
Credit for the piece goes to Sisi Wei and Todd Lindeman.
Everybody knows that executives make a lot of money. But not all of it comes from just salary, some comes from bonuses, stocks, options, and other perks. So who makes the most?
The New York Times put together an interactive piece with data from Equilar about the 50 most-highly paid chief executives from companies over $5 billion in size. The data is arranged as stacked bars, with—when available—2010 data to compare to 2011. The order can be sorted a number of different ways and the executives on display can be filtered by what industry his or her—granted only 3/50 are women—company works in.
Credit for the piece goes to Lisa Waananen, Seth Feaster, and Alan McLean.
There are a few things in this world that I really dislike. Two of them are coffee and chocolate. So this map from the Guardian, a map made of real melted chocolate, is not quite to my liking.
While I can appreciate the concept behind it—regardless of the chocolate-ness—I am left to wonder if from a data visualisation point a world map might not have been the best choice. Only fourteen countries are shown, if I count melted chocolate correctly.
I am just thankful that at the bottom of the piece I am not looking at chocolate doughnuts.
For many, this past winter was not so wintery, warmer than average temperatures and less than average snowfall. The National Post looked at Canada’s winter experience and found it to be the third-warmest in history. The story was covered in a large infographic piece that uses small multiples to look at previous Februaries across Canada and then bar charts to look at March temperatures specifically.
Credit for the piece goes to Tristin Hopper, Jonathon Rivait, and Richard Johnson.
Via the Guardian, Stamen Design has teamed up with Climate Central to create an interactive piece that maps the potential effects of rising sea levels. The user has control over the amount of the rise—this graphic says four feet—after which the coastline recedes to reveal the devastation. This is complemented by statistics of the land, including the population potentially affected along with the number of homes and total acres. In this case you see South Jersey, which is where I spent my summers. As you can see, the coastal beach towns I called home would be underwater. (And the little blue specks inland in Pennsylvania near my hometown, those are quarries; nobody lives there. No need to worry.)
The problem, of course, is that a large percent of the Earth’s population lives near the ocean. There are not, after all, many people living in the interiors of the continents. So receding coasts may very well be a problem in the coming years.
Cholera. It’s more than just a disease on the Oregon Trail. It exists in the 21st century, though typically we do not experience it in the industrialised Western world. Where one does see it crop up are in places with poor sanitation, which is usually in the developing world. But, if one were to take a developing country and then in a few seconds wreck the national infrastructure in a devastating earthquake, one could see the creation of the right conditions for an outbreak.
Sadly, that is exactly what happened—and to a lesser degree is still happening—in Haiti. The New York Times wrote about the problem in an article in the Sunday edition. The article was accompanied by an infographic that mapped the spread of the outbreak geographically and then its intensity over time.
Credit for the piece goes to Joe Burgess and Lisa Waananen.
Given the absence of a post yesterday, I took some time to do a small catch-up piece for you all. Those who know me offline are well aware that I document many things about my life including when I happen to drink tea. (And that’s often.) Finding myself with some unexpected time, I looked through the data that I have amassed since 1 January through to 28 March. While I aim to do more with this dataset someday, for now consider this a start. And now a self-surveillance infographic. On drinking tea.
It is interesting to note that I have in fact had tea every single day so far this year.