Crossing the Detroit River (Panic in Detroit)

The National Post’s business section, branded separately as the Financial Post, posted a comment about a proposed bridge that would span the Detroit River and add a third major crossing to the Detroit–Windsor area. The comment used a graphic to explain one of the key points of the story, that early 21st century traffic projections haven proven to be very much incorrect. Unfortunately, it took me a little bit of time to realise that in the graphic.

Crossing Options Original
Crossing Options Original

So without access to the raw data provided by United Research Services I have made a quick attempt to improve the graphic within the confines of Coffee Spoons’ main column space, i.e. 600 pixels. The original locator map is quite useful and therefore not included in my effort.

Detroit River Crossing Traffic Revisited
Detroit River Crossing Traffic Revisited

My main issues with the charts are the separation of the estimates from the actuals and the spacing between the estimates. I would have preferred to have seen, as in my example, how the actuals for 2010 fell far short of the 2004 projections. Ideally, I would have liked to have seen the original estimates for the intervening years between 2010, ’20, and ’30, however that data was not provided in the comment if it is even available from the original source. Consequently, unlike the original, I have kept the spacing of the actual data in the estimates with the intervening gaps.

The subtle effect of this increased spacing is to reduce the visual speed, if one will, of the projected growth. Over the original and narrower space the rate of increase appears fairly dramatic. However when given the correct spacing the ‘time’ to reach the projections lengthens and thus the rate ‘slows down’.

Credit for the original piece goes to Richard Johnson. The reinterpretation and any errors therein are entirely my own.

Consumer Eating Habits

I generally refrain from posting links to my professional work. Normally because I’d have to be the first to criticise it and tear it apart. But also because a lot of it is confidential and behind the paywall—it’s like the Iron Curtain meets the Great Wall but really a lot less interesting.

Yet from time to time, through the work and deeds of others, things escape and make it into the wild. Then things are fair game. This is one of those times and one of those pieces. The image links to the third-party page.

Consumer Eating Habits
Consumer Eating Habits

 

Examining Growth in the G-20

On Sunday the New York Times featured a small graphic highlighting the disparity in growth rates across the G-20 if broken into the ‘core’ G-8 and then what one might call the emerging markets of the G-11.

NYT Coverage of G-20 Growth
NYT Coverage of G-20 Growth

The charts are small yet compelling in telling the story of how the two different groups are performing. However, I was left wanting to better understand the comparisons between the sizes and growth of the various countries. The areas of circles are difficult to compare and aggregates mask interesting outliers. So, using what I imagine to be the same data from the IMF, I took a quick try at the data to create my own infographic.

My G-20 Size and Growth Graphic; click for the full-size view
My G-20 Size and Growth Graphic; click for the full-size view

Indeed, interesting stories began to appear as I plotted the data. Russia is a member of the G-8, but perhaps has more in common with the G-11. After all, Russia’s growth was nearly 500%. Similarly interesting were Canada and Australia. The former, a G-8 country, was the only G-8 country besides Russia to have greater than 100% growth. And Australia, certainly not an emerging market in most senses, experienced nearly 300% growth. Whereas the emerging markets of Mexico and South Korea lag behind the rest of the G-11.

Then, when plotting the sizes of the economies, China was no surprise as the second-largest economy. However, that Brazil has managed to already surpass the G-8 economies of Italy, Russia, and Canada was a bit shocking. And Brazil looks nearly ready to surpass the UK, but for its apparent recent downturn. Also interesting to note are the Financial Crisis dips in GDP across most countries. Some countries, like China, unsurprisingly did not suffer greatly. However, that Japan and South Africa kept on a steady pace of growth was unexpected.

All of that would have been missed but for a slightly deeper dive into the IMF data. And a few hours of my time.

Beer, Whiskey, and Wine, Oh My

Last month I visualised my tea consumption data. But the other dataset that I record along with the tea is that of alcohol: when, where, and what I consume. The following is the result of four months of data, but you have to click for the full-scale view.

Click for full-scale view
My 2012 alcohol consumption, through 1 May. Click for full-scale view

Merry F*%#-ing Christmas

The title is from perhaps my favourite Christmas song

But the song relates to this post because earlier this week the print design blog For Print Only featured my annual Christmas card. I typically design and print a card to mail (as in a physical copy through the postal service, none of that e-card non-sense) to my friends and family. This past year I took to infographics to explore the realm of Santa and his North Pole dictatorship.

My Christmas Card
My Christmas Card

Credit for the photographs goes to FPO.

The Short and Winding (Mountain) Road (vs. the Long and Straight Midwest Interstate)

Last weekend I visited Ganister, Pennsylvania to see family, meet some old family friends, do some research, and generally just get out of Chicago. After I arrived, I realised I wasted an opportunity to tell the story of the drive out. So, I made a mental note to record some data on the long drive back. This infographic is the result.

My return from Ganister
My return from Ganister

A Nice Cup of Tea

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.

Tea consumption
Tea consumption

It is interesting to note that I have in fact had tea every single day so far this year.

How Popular Is Your Home State?

Public Policy Polling had a survey in February where they polled respondents on whether they had favourable or unfavourable attitudes towards states, or if they were not sure. As a Pennsylvania transplant to Illinois, I can say that Pennsylvania came out a bit better than Illinois. But how about your state?

State Popularity
State Popularity

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.)