What Philadelphians Think About Philadelphia

Yo, Philly, apparently Pew did a survey on what Philadelphians think about Philadelphia. And what better way to talk about a survey than through an infographic. So thanks to the Inquirer, that is what we have.

Philadelphians on Philadelphia
Philadelphians on Philadelphia

The interesting bit is that while there is a black-and-white, presumably print version, the website broke the whole graphic into its components and made them larger for web viewing. But, if you look at this example from the segment on immigration and diversity, they ought to have left colour alone. The two segments Bad Thing and No Difference use the same colour when they clearly do not mean the same thing. The black-and-white version keeps those two as separate greys.

Survey results on immigrants and diversity
Survey results on immigrants and diversity

Credit for the piece goes to John Tierno.

Presidential Popularity

Presidents’ Day is actually Washington’s Birthday. That makes sense when you consider how Washington is still a much beloved president. And according to a recent survey, the most favoured president.

Presidential Popularity
Presidential Popularity

What is worth nothing is that most Americans know little of the 19th century presidents, save the big names like Lincoln, Grant, and (Teddy) Roosevelt. Not until the other Roosevelt (FDR) do we start seeing a decline in “Not Sure” responses. But, by far, Washington and Lincoln are the most favoured presidents.

The questions for all of us on this holiday are who’s your favourite? And how does he stack up? (Get it? Eh, chart humour.)

The 2013 Budget Proposal Visualisation Comparison Part II

The previous two entries have been about visualisations of the administration’s budget proposal for 2013. Today’s will be (probably) the last in such a theme. Perhaps some wonder if not the bubbles and circles of the Times’ visualisation, what?

Some might answer bar charts. Because we all love bar charts. But, as in this example from the Philadelphia Inquirer, sometimes we are left wanting more.

Budget overview
Budget overview

The graphic captures the size of the budget by general spending and revenue areas, but misses the story on how each has changed on account of this new era of austerity. What colour was in the previous examples, here instead we see it used to group the different categories of spending. From an aesthetic standpoint, the depth in the third dimension is distracting and the space between the two stacked bars (and the line separating them) does not aid in comparison.

In brief review, of the three visualisations presented over the past three days, I have to say that the Washington Post’s tree maps are the most useful from a design perspective, but sadly lacks in the granularity we see—regardless of the clarity or lack thereof in presentation—in the piece from the New York Times.

Credit for the piece goes to John Duchneskie.

The 2013 Budget Proposal Visualisation Comparison

Yesterday’s post was about the administration’s 2013 budget proposal as visualised by the New York Times. This morning we have a brief comparison to the visualisation of the Washington Post.

The budget proposal overview
The budget proposal overview

The main visualisation shows spending by department compared against revenue, the difference between being the grey box of deficit. Of note is that this piece also contains the revenue, and not just the spending, unlike the New York Times version. You can also see that the level of granularity is different; the Post looks only at department-level data while the Times delves into specific programmes. Critically, the arrangement of the budget components in this graphic makes it easier to attempt comparisons of area and thus weigh Education against Defence.

Defence spending details
Defence spending details

If you click a particular department, you swap out the revenue side of the budget equation with the details of previous spending in that area, broken down into presidential administrations that are coloured by party. The same holds true for revenue, clicking on those reveals the amount of revenue taken in by administration. Of some note is the deficit, which shows how we did briefly have a budget surplus back in the 1990s and how that compares to the deficits of today.

Deficit details
Deficit details

All in all, while the level of detail is not present in the Post’s visualisation, I find that the comparison at the departmental level stands strongly in the favour of the Post. The Post also benefits from presenting the other side of the budget story, revenue. Unfortunately, if you care to dig any deeper into any particular part of the budget, say weapons procurement or education grants, you cannot in the Post. That leaves space for a nicely designed, detailed, clear, and informative piece should someone or some organisation be so inclined to build it.

Credit for the piece goes to Wilson Andrews, Dan Keating and Karen Yourish.

How to Use Good Data Visualisation in Your Private Life

Often we think of graphs, charts, and other forms of data visualisation as a means to exploring the economic growth of so and so, or visualising traffic patterns, of explaining the complexities of science, or the reporting of yesterday’s news. But, we can all use data visualisation in our own lives to help make better decisions.

While I normally opt not to post links to other data visualisation blogs—I figure most people are also already checking those out—Nathan Yau posted about why he wants to cut the cable, i.e. lose his cable television subscription. He has two separate charts that are simple but effective in driving home the point that he really ought to think about cutting cable out.

Cutting cable
Cutting cable

The article, while a bit longer than usual, is well worth the read. The charts with the explanation make for a compelling argument.

Comparing the (Display of) Results in Colorado

Mitt Romney lost badly last night. No way around that. But as I watched the results come in through various sources, I noticed two interesting design decisions that made me think; one from the Guardian (the British perspective), and the other from the New York Times.

Using only Colorado as an example, here is the map of county results by the Guardian.

Results map from the Guardian
Results map from the Guardian

Note how the map is presented in 3-D that therefore allows the use of height as another encoded variable, in this case the size of the lead. Now compare that to the map used by the New York Times.

Results map from the New York Times
Results map from the New York Times

Note how this map is flat. So much less cool, right? But try to compare the results in Denver County. When I look at the Times’ map, I see blue; Mitt Romney won. When I look at the Guardian’s map, I see…actually, I can’t. That label is in the way. And then even when I begin to interact with the map, Denver County is hidden by the height of Arapahoe County.

But what about the size of the lead? I cannot see that encoded in the New York Times map. No, one cannot. However, they added a toggle function to change the data displayed on the map—though the utility of that view can be left for another discussion.

And now to a minor point about comparing the totals.

Again, a look at the Guardian’s presentation.

Results table from the Guardian
Results table from the Guardian

And now the New York Times. Numbers are numbers and faces are faces. But look at the graphic element representing the percentage. With the Guardian, I can just barely discern that the size of the circles for Santorum and Romney are not the same. And the same goes for Gingrich and Paul. But when I look at the Times’ presentation, I see a simple bar chart that more clearly shows the relationships between the results.

Results table from the New York Times
Results table from the New York Times

So interesting design decisions lead to one view that I find far more successful in showing the data: the New York Times.

A Win for New Jersey

So apparently there was a game last night? I didn’t get the chance to watch it, I was busy updating this blog here. The changes ought to make it easier to be more social, since that’s the thing these days.

But, so about that game, apparently New Jersey won. Congratulations to the New Jersey Giants of East Rutherford, New Jersey. You have prevailed. The newspaper in the nearby city of New York had a graphic to explain the progress of the game, this being a cropping of the ending. Which is probably all anybody really needed to see anyway, right?

Second half drive chart
Second half drive chart

Show Europe the Money

The Guardian has an interactive piece that details payments to and from European Union member states to institutions, determining whether each state is a giver or receiver.

Comparing payments and receipts in EU member states
Comparing payments and receipts in EU member states

The concept sounds all well and good. However, the piece itself feels clumsy with too much scrolling and whipping about to pan across the whole EU. The charts look a tad heavy—which could have been remedied for a more concise piece—and the callouts beg for a level of interactivity that is otherwise lacking.

Lastly, I have concerns about the list of countries at the top, although these may stem only from the point of view of an American not too familiar with Europe. Flags are not circles, they are, in most cases, rectangular in shape. Does cropping a symbol or icon of a country make it more or less useful of a symbol or icon? Furthermore, do the British recognise the flags of their fellow EU member states?

The country icons/flags call for some type of sorting function, to compare payments and receipts and their balance. But, instead, they sit there in unalterable silence, providing only an economic overview when clicked. An overview that through its staid design feels more like an afterthought.

Why the Riots?

The riots in the UK earlier this year prompted questions about British society and the causes behind the riots. The Guardian has been reporting on different elements of the riots for some time now and has released the results of their work on discovering those causes. And naturally, survey results should be visualised for more awesomeness.

Surveying Rioters
Surveying Rioters

The discrepancies between the causes should be interesting. However, the number of bars and their tight spacing along with contrasting colours makes me wonder if the chart would be more effective not if it plotted the value of the responses, but rather the value of the difference in the responses.