Over at the Guardian, people are playing with data about drug use. The data comes from the Global Drug Survey, and Ian Taylor and the Guardian worked together to create this interactive piece that lets you either browse drug use comparisons between Americans and Brits or compare two specific drugs between our two peoples. It looks like we al drink though…
Credit, again, goes to the Guardian and Ian Taylor.
The subject matter of this piece is out of my area of expertise, but should you be in the UK and looking at women’s fashion, apparently not all listed sizes are the same. This piece by Anna Powell-Smith takes as an input a woman’s size measurements and then best fits them to the known sizes by several major brands by type of outfit: shirt, skirt, and dress.
Somalia is beset by a bevy of problems; from an Islamist insurgency that holds great swathes of the south, to the de facto independent regions of Somaliland and Puntland in the north, to the pirates operating off the coast, to the barely functional government in Mogadishu that controls only sections of the capital through the backing of an African Union peacekeeping force, to the recent famine that devastated the south of the country.
The famine, which ended formally ended only earlier this month, is the focus of an interactive piece by the Guardian. It examines how the tragedy unfolded, especially when early indicators pointed to the likelihood of a famine. Through a timeline, the piece marks out what happened when—probably important as not all readers may be familiar with the details of the disaster—atop a chart that visualises the aid given to Somalia. Other line charts describe who donated and when.
The most interesting, however, is an investigation into what (perhaps) spurred the donations. Using the same timeline as a common base, it charts when donations were made against mentions in six US and UK media outlets against Twitter mentions and Google Search Insights.
With this last bit in particular, the Guardian has attempted to use data visualisation to support an argument made in accompanying text. Often times data visualisation and infographics will simply document an event or provide facts and figures. Here, however, an attempt was made to link the aid effort to media coverage (90% of aid came to Somalia after the story broke in the media), perhaps to show causation. But, the writer admits that ultimately the visualisation can only show the overlap or correlation, which the writer further notes is itself consistent with academic debate over the existence of the “CNN effect”.
Credit for the piece goes to Claire Provost, Irene Ros, Nicola Hughes, and the Guardian Interactive Team.
The crisis in Syria now resembles more of a civil war. The UN General Assembly has condemned the conflict and passed a resolution calling for Bashar al-Assad to step aside along with a host of other steps to resolve the conflict. However, nothing can happen until the Security Council agrees on a measure, which is still unlikely given the previous vetoes by China and Russia.
This piece from the Guardian chronologically explains what has been happening—at least as best as can be determined in the not-so-media-friendly country. As this story focuses on dates and places, a map feels natural. The designers have added some crucial details from the backstory about the ethnic complexities of the country and denoted the larger and more important urban centres.
When one clicks on a date, coloured by what part of the story is taking place, markers with text boxes overlay the original city markers and provide the user information on what happened in that city on that date. Or, if the event is more general, the box appears outside the borders.
The interface is rather simple, but works in focusing a person in on a time. Unfortunately, since much of this story can be seen through the lens of locale, e.g. the city of Homs has borne the brunt of al-Assad’s wrath, one cannot focus in on a place and then add time. For example, clicking on the marker for Homs and then seeing a chronological list of events that occurred there would also be quite useful.
Another slight improvement would be more clearly signifying the date being viewed. It does appear in the text box, but with the visual prominence of the main navigation at the top, on a few occasions when I was going through the piece, I did forget what date I was on and had brief moments of confusion.
Using only Colorado as an example, here is the map of county results by 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.
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.
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.
So interesting design decisions lead to one view that I find far more successful in showing the data: the New York Times.
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.
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.
The Iraq War is over. And now it is time to reflect on what we have gained and what we have lost. This map by the Guardian details the number of soldiers killed in action in Iraq. (Other options include total wounded, killed by non-hostile, &c.)
Unfortunately, I call it a ‘no kidding’ type of map. The data, accessible via the Guardian here, corresponds nicely with a list of states by total population. Of the top ten countries in KIA, only Virginia is not among the top ten in population; it is 12th. The country thus not in the top ten in KIA, but in population is North Carolina. It’s rank in terms of KIA? 11th.
The data is interesting and worth depicting if we are to reflect. But, perhaps a more suitable visualisation could have been chosen.
On a personal note, these Google Maps overlays are annoying when, in the cases of, e.g., Wisconsin and Massachusetts, the shapes are incorrect. Perhaps coastlines are not as easy as states with ‘straight lines’ for boders, but we would do well to try and make irregular coasts at least somewhat correct.
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.
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.
Plans are afoot to harness the power of the sun in the deserts across northern Africa. The electricity generated in Morocco is planned to turn on light switches in Madrid and throughout the rest of Europe.
The Guardian created a map to show how the solar facilities could be connected to each other and to other renewable power sources in Europe—from Icelandic geothermal plants to North Sea wind turbines to Alpine hydroelectric plants.