Speed Skating

Today’s post comes from a co-worker and looks at the increase of speed in speed skating in the Winter Olympics since 1924. It does a nice job of showing the increase in the speed. Because to a degree, the increase has not been linear. Instead, it really only increased in two spurts and recently has remained fairly constant.

Then to show how slight differences in speed impact an actual race. The times are plotted against the distance in a simulated race. That shows that seemingly incremental increases in speed can have a drastic impact on where one finishes a race.

Race around the rink
Race around the rink

Credit for the piece goes to  Andrew Garcia Phillips.

The Long and Winding Cotton Production Path

Today’s piece is straightforward, but I felt very good at detailing its story. The Wall Street Journal mapped out the path cotton takes on its way from the fields to the denim in your jeans.

Cotton's path to market
Cotton’s path to market

Credit for the piece goes to the Wall Street Journal graphics department.

How Cruise Missiles Would Strike Syria

While we are waiting for Russian help to destroy Syrian stockpiles of chemical weapons, we know that the Pentagon is still ready to strike (most likely with cruise missiles) various targets of the Syrian regime. This graphic from the Wall Street Journal explores some of the options. The interesting bit is the range of Syria’s anti-ship missiles. Because for those of you who do not recall the Israel–Lebanon war of 2006, Hezbollah (known to be aiding the Syrian regime) surprised some by scoring a hit on an Israeli warship with a less-advanced missile than in the Syrian arsenal.

Pentagon plans
Pentagon plans

This is only one of several different graphics from that page. Different graphics look at elements of the conflict, including the refugees, timeline of the regime’s actions, &c.

Credit for the piece goes to the Wall Street Journal graphics department.

Covering the New York Mayoral Primaries

Tuesday was election day in New York (among other places) where voters went to the polls for the mayoral primary (among other positions). For those living underneath what I can only presume was a very comfortable rock, this is the whole Anthony Weiner comeback election. Anyway, a bunch of different websites, most tied to the New York area, were covering the election results. So I wanted to share just a few.

First we have the Huffington Post with the most straightforward presentation. Their table covers the main candidates and their results at a borough level and at a city-wide level.

The Huffington Post's tabular results
The Huffington Post’s tabular results

The second is from the Wall Street Journal. This uses a choropleth map with different colours assigned to a select few persons running—also the only ones with a real chance of winning. Tints of these colours in each district indicate how much of the district has voted.

The Wall Street Journal reports at the district level
The Wall Street Journal reports at the district level

From WNYC we have our third example—another choropleth where different colours represent different candidates. However, unlike the Wall Street Journal, the colours here have only one tint. And instead of showing assembly districts, WNYC provides a further level of data and looks at precinct results. It does not represent the amount of the precinct that has voted, but rather whether the candidate is winning by a plurality or by a majority. Beneath the legend a second charting element is used; this details the breakdown of the vote by districts as separated into racial majority. This is an interesting addition that hints at filtering results by related data.

WNYC looks at who's winning and how
WNYC looks at who’s winning and how

And that filtering brings us to the New York Times’ piece, which does offer filtering. It highlights districts on its maps—also precinct-level and not district aggregates—based upon the metric and the specific properties of said metric. In this case, I have chosen income. And the story of different voting patterns (at this particular point in the evening) based on income is quite clear. Look at Christine Quinn’s support.

Results from people earning more than $100k
Results from people earning more than $100k
Votes from people earning less than $100k
Votes from people earning less than $100k

 

Credit for these:

Huffington Post: Aaron Bycoffe, Jay Boice, Andrei Scheinkman, and Shane Shifflett

Wall Street Journal: the Wall Street Journal’s graphics team

WNYC: Steven Melendez, Louise Ma, Jenny Ye, Marine Boudeau, Schuyler Duveen, Elizabeth Zagroba, and John Keefe

New York Times: New York Times’ graphics department

Consumer Spending by Store Type

Today’s post is a small interactive from the Wall Street Journal that allows the user to explore consumer spending not by category of spending, but rather the type of store in which they are spending, e.g. grocery retailers. Consumer spending is a fairly important measure of the US economy since so much of our economy depends upon it (I want to say roughly two-thirds, but I cannot recall exactly).

Comparing retail spending by type of store
Comparing retail spending by type of store

This piece has a few interesting things going for it. Firstly is the ability to compare and contrast three different retail channels (My screenshot compares only two). An unlimited amount would have been far too many, but three is a manageable number, especially in the various charting components used.

The tree map is interesting. I like the idea of using them, but I am not sure this is the best application. First, a tree map is fantastic for showing hierarchy. If, for example, there were sub-channels of the big retailing types, they could be nested within, well, squares or rectangles. But here the size and growth could have been compared perhaps more easily in a scatter plot. Secondly, I cannot determine the order for which the channels have been arranged. Clearly it is not by size, because the small ones are near the top. Nor is it reverse, because there are smaller ones where there should be larger ones.

Then the bar chart. An interesting idea, to be sure, of aggregating the sales per channel to see their total value. But if the goal is to compare them, would not a line chart looking at both separately not in aggregate show size and relative gains/declines against the other?

Credit for the piece goes to Dan Hill.

Trending Towards Gay Marriage

We are (still) waiting for a ruling on many things this week from the Supreme Court, including the rulings on DOMA and Prop 8. Today, we look at an interactive chart by the Wall Street Journal that plots different ballot measures, legislative actions, and court rulings regarding gay marriage. Lines of best fit provide a general trend line, and as the default view shows, the trend is clearly in favour of legalisation.

Trends for ballot measures, legislative actions, and court rulings for/against gay marriage
Trends for ballot measures, legislative actions, and court rulings for/against gay marriage

The piece is quite nice. After the default view, you can change the view to look at events not by type of action but by geographic region. This is one of those instances where the regional data provides an interesting look at the story. Additionally, the headlines on the left expand to provide not just context, but highlight the events plotted from that era.

Credit for the piece goes to Randy Yeip, Colleen McEnaney, and Chris Canipe.

The Republicans and Hispanic Voters

Following on last week’s posts on immigration comes today’s post on how that might impact Republican politics. Well I say might but pretty much mean definitely. The graphic comes from the Wall Street Journal and it takes a look at the demographic makeup of states, House congressional districts and then survey data on immigration broken into Republicans vs. Democrats.

The GOP's Tricky Terrain
The GOP's Tricky Terrain

I think the piece is a good start, but at the end of the introductory paragraph is the most salient point about the piece. And unfortunately the graphic does not wholly embody that part. Of course within limited time and with limited resources, achieving that sort of completeness is not always possible. That said I think overall the piece is successful, it just lacks that finishing graphical point.

Credit for the piece goes to Dante Chinni and Randy Yeip.

Diversity in Politics

The Republican Party has a problem. Its policy platform appeals to “angry white guys” and they are not being bred fast enough. And as the quotes indicate, that isn’t my idea. That comes from no less than Lindsey Graham, Republican Senator for South Carolina. The Wall Street Journal looks at just four states previously safely Republican that are now trending Democratic.

Diversity in Politics
Diversity in Politics

Credit for the piece goes to Dante Chinni and Randy Yeip.

Election Stuff You Might Have Missed

The United States is not the only country in the world to have an election this November. It isn’t even the only big country. China is/had elections to replace the top leadership in Beijing. That’s right, it’s that about that time once every ten years when the Chinese political leadership is replaced.

The Wall Street Journal had a nice interactive piece introduced with an animated video explaining just how the Chinese political system works. Or at least how we think it works. It’s not an entirely transparent system. Though as Americans have discovered lately, the transparency in seeing how large pieces of legislation are conceived, written, and passed is not necessarily a good thing.

Along with the diagram of the system, the piece offers photos and brief biographies for the presumed front runners. The “winners” of the elections should be announced sometime Thursday. Along with the new leaders, the Communist Party may also reduce the Politburo Standing Committee from nine members to seven members for more efficient governing. But nobody knows. We’ll see Thursday.

The 18th Party Congress
The 18th Party Congress

Average Household Spending

This tree map from the Wall Street Journal looks at an interesting subject: average household spending. How much are we spending on housing, on food, on transportation, &c.?

Household spending
Household spending

But I’m not so sure that the main visualisation is necessary. I appreciate the big colour and splashiness, but the space use seems inefficient. Perhaps if the colours had been tied, as is commonly seen, to another variable, the tree map would be more useful. Imagine if the chart looked at the spending value and the average growth over the last ten years, with the year-by-year value still plotted below.