The British government is delivering its budget statement today. So as a teaser, the Guardian published this article with six charts to help understand where things are at. Chart-wise there is nothing radical or revolutionary here, but I have a soft spot for articles driven by data visualisation.
Credit for the piece goes to the Guardian graphics department.
Well, so about that whole Michael Flynn furore thing I wrote about yesterday…. Time to add another name to the list of people to be appointed—as I said, that post isn’t confirmed, merely appointed.
But today is Valentine’s Day. So for all you lovebirds out there, here are some graphics showing how rate of marriages has declined in the United States.
It does a real nice job of presenting the overall national view, but then breaking that down into a state-by-state comparison over time, the small multiples shown below.
My critique would be the labelling. Note how the state label appears above the chart, but how when stacked in a row, the label for the state below appears far closer to the chart above. The first few times I looked at this, I saw the label for the chart as being below. And I was therefore curious why Kansas was so different from the rest of the plains state. It just goes to show you how important spacing and layout can be on the page.
Well, we are one day away now. And I’ve been saving this piece from the New York Times for today. They call it simply 2016 in Charts, but parts of it look further back while other parts try to look ahead to new policies. But all of it is well done.
I chose the below set of bar charts depicting deaths by terrorism to show how well the designers paid attention to their content and its placement. Look how the scale for each chart matches up so that the total can fit neatly to the left, along with the totals for the United States, Canada, and the EU. What it goes to show you is best summarised by the author, whom I quote “those 63 [American] deaths, while tragic, are about the same as the number of Americans killed annually by lawn mowers.”
I propose a War on Lawn Mowers.
The rest of the piece goes on to talk about the economy—it’s doing well; healthcare—not perfect, but reasonably well; stock market—also well; proposed tax cuts—good for the already wealthy; proposed spending—bad for public debt; and other things.
The commonality is that the charts work really well for communicating the stories. And it does all through a simple, limited, and consistent palette.
In my new role as data visualisation manager at the Philadelphia Federal Reserve, I am learning a lot about what the Fed does and how it does it. Needless to say, this piece from Bloomberg interested me as it displayed how the federal funds rate has changed over time.
What I really enjoy is how they colour-coded the two previous hiking cycles as well as what I think everyone presumes will be a new one. And those colours then move on down the piece into the dot plots. The dot plots show various potential factors in the decision-making process, and just how far off the current hiking cycle is from the two previous.
Credit for the piece goes to Chloe Whiteaker, Jeremy Scott Diamond, and Jeanna Smialek.
Well today we elect the president of the United States. Wait! you say, did we not just do that a few weeks ago?
Not really, no.
In the run up to the election, I and others saw the possibility that this election could result in a gap between the national popular vote and the electoral college vote. And people think that unfair. Consequently I decided to start working on a series of graphics to help explain the system. But before I could finish, the Washington Post published this piece that I think does a strong job. So, I am going to point you there instead.
The United States is not a democracy, but a federal, democratic republic. Though that may smack of wordsmithery, it is an important distinction. We are a democratic republic in that we elect people to represent us, we do not directly vote on matters of government. And then that federal bit. The United States was formed by sovereign states, i.e. the colonies and other independent republics like Texas and (sort of) California. Others were territories belong to sovereign states that we acquired through negotiation, e.g. the Louisiana territory and Florida. In short, the United States is not a unitary state ruled by an all-powerful central government. The central government only has the authority granted to it by the states and territories entering the union.
States are intended to be equal, but the democratic republic bit means the people need to have their say. So the federal House of Representatives gets a set number of seats divided proportionally by population (as determined by the US Census) while the Senate represents all states equally with senators. The House is elected by the people every two years and thus is more in tune with national public sentiment. The Senate serves as the more deliberative body tempering perhaps overly reactionary House legislation. It also serves to represent the interests of the state governments. Initially, you did not even vote for senators. Those were chosen by your state governments, often the state legislature. (I will save that topic for another day.)
The electoral college of 538 members comes from each state’s House delegation and its two senators. And because this is a federal, i.e. state-led, republic, each state determines how to divvy up their votes. Most states do winner-take-all. Two, Maine and Nebraska, allocate them based on who wins the House districts and then an additional two (from the number of senators) to the overall state winner.
That very complicated system was designed to ensure that states with smaller populations are not summarily outvoted and overruled by the largest of states. This initially helped the smaller states in the Northeast like Maine, Rhode Island, Connecticut, and Delaware, but also the slave states like Georgia. In 2016, this means that the states of the Great Plains and Rocky Mountains receive overrepresentation at the expense of the larger states like California, Texas, New York, and even my Pennsylvania.
The graphics from the Washington Post do a great job of showing not just how states today are over- or under-represented, but how that has changed since 1960. That is an important date given the Voting Rights Act that attempted to break down systemic injustices against minorities, particular blacks, in elections.
Is the electoral college “fair”? If this was a unitary republic, no. I doubt anyone would or could argue that point. But the United States is not and was not meant to be a unitary republic. We are a collection of sovereign states that grant power to a federal government. So in that sense, the electoral college is a fair, albeit not perfect, system that seeks to reallocate electoral power from high population states to low population states.
Again, the election is next week. And since I have moved from Chicago to Philadelphia, I now find myself in a contested state. This piece comes from the New York Times and explores the polling results across the blue-leaning-but-still-a-swing-state. I find it particularly interesting just how much red and purple there is in the suburban counties of Delaware, Chester, Montgomery, and Bucks all surrounding Philadelphia. But that will only make my vote matter more than it would have had were I still living in Chicago.
But you should also check out the piece for some updates on the Senate race we have going on here. The Republican Pat Toomey is running for re-election against the Democrat Katie McGinty. The race can be described as a tossup as the polls seem to be flipping back and forth. But there is some interesting polling data to be found in the article.
In about a week we will see just how Pennsylvania goes for both the presidential election and the Senate election.
Last week the Washington Post published a fascinating article on the data visualisation work of the Donald Trump media campaign. In my last job I frequently harped on the importance of displaying the baseline and/or setting the baseline to zero. When you fail to do so you distort the data. But maybe that is the point of this, for lack of a better term, political data visualisation.
My favourite author is George Orwell of 1984 and Animal Farm fame. But Orwell also penned numerous essays, one of which has struck me as particularly relevant in this election cycle: Politics and the English Language. In concluding the essay Orwell wrote:
Political language…is designed to make lies sound truthful and murder respectable, and to give an appearance of solidity to pure wind.
And so political data visualisation? Well I believe it exists to serve the same purpose. The article goes into detail about how the designers behind the graphics fudged the numbers. Now did the campaign intend to mislead people with the data visualisation graphics? It is hard to say, because some of their graphics actually diminish leads that Trump has among certain demographics. Could it be the designer behind the graphics simply does not understand what he or she is doing? Perhaps. We clearly cannot know for certain.
Either way, it points to a need for more understanding of the importance and value of data visualisation in the political discourse. And then the natural follow-up of how to best design and create said visualisations to best inform the public.
But I highly recommend going to the Post and reading the entirety of the article.
Credit for the original work goes to the Trump campaign graphics department, the criticism to John Muyskens of the Washington Post.
The Olympics are over and Team GB did rather well, coming in second in the medals table with 27 gold medals, more than they won back in 2012 when they hosted the Olympics. (See my piece four years ago where a colleague of mine and I accurately predicted the UK’s total medal count.)
Consequently the BBC put together an article with several data-driven graphics exploring the performance and underpinnings of Team GB. This screenshot captures a ranking chart that generally works well.
However, the use of the numbers within the dots is redundant and distracting. A better decision would have been to label the lines and let the eye follow the movement of the lines. A good decision, however, was to label the grey lines for those countries entering and falling out of the Top-5.
Credit for the piece goes to the BBC graphics department.
Happy Monday, all. Some big news stories going on today, but I wanted to take a look at this piece from the New York Times. They report on the sale of Yahoo to Verizon for almost $5 billion via a piece that takes short written analysis and blends it with clear and concise charting. The effect is a quickly digestible, but data-driven content piece.
Last week we witnessed the lorry attack in Nice, France. This week we have the axeman attack on a German train. Does anybody note, however, the recent terror attacks in Dhaka, Bangladesh? Probably not, according to this insightful piece from FiveThirtyEight. They took a look at journalism’s coverage of terror attacks and whether there are discrepancies based on geography. Turns out that yes, there are. But, the article does make a point to note some reasons why that might be. One, we have covered it a lot more often since 11 September 2001. Anyway, the whole piece is worth a read.
Credit for the piece goes to the FiveThirtyEight graphics department.