Clustering

12 posts
Appreciating population mountains

Tim Harford tweeted about a nice project visualizing of the world's distribution of population, and wondered why he likes it so much.  That's the question we'd love to answer on this blog! Charts make us emotional - some we love, some we hate. We like to think that designers can control those emotions, via design choices. I also happen to like the "Population Mountains" project as well. It fits nicely...

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Appreciating population mountains

Tim Harford tweeted about a nice project visualizing of the world's distribution of population, and wondered why he likes it so much.  That's the question we'd love to answer on this blog! Charts make us emotional - some we love, some we hate. We like to think that designers can control those emotions, via design choices. I also happen to like the "Population Mountains" project as well. It fits nicely...

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The merry-go-round of investment bankers

Here is the start of my blog post about the chart I teased the other day:   Today's post deals with the following chart, which appeared recently at Business Insider (hat tip: my sister). It's immediately obvious that this chart requires a heroic effort to decipher. The question shown in the chart title "How many senior investment bankers left their firms?" is the easiest to answer, as the designer places the number...

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Message-first visualization

Sneaky Pete via Twitter sent me the following chart, asking for guidance: This is a pretty standard dataset, frequently used in industry. It shows a breakdown of a company's profit by business unit, here classified by "state". The profit projection for the next year is measured on both absolute dollar terms and year-on-year growth. Since those two metrics have completely different scales, in both magnitude and unit, it is common...

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Digital revolution in China: two visual takes

The following map accompanied an article in the Economist about China's drive to create a "digital silkroad," roughly defined as making a Silicon Valley.  The two variables plotted are the wealth of each province (measured by GDP per capita) and the level of Internet penetration. The designer made the following choices: GDP per capita is presented with less precision than Internet penetration. The former is grouped into five large categories...

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Discoloring the chart to re-discover its plot

Today's chart comes from Pew Research Center, and the big question is why the colors? The data show the age distributions of people who believe different religions. It's a stacked bar chart, in which the ages have been grouped into the young (under 15), the old (60 plus) and everyone else. Five religions are afforded their own bars while "folk" religions are grouped as one, and so have "other" religions....

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Governor of Maine wants a raise

In a Trifecta checkup, this map scores low on the Q corner: what is its purpose? What have readers learned about the salaries of state governors after looking at the map? (Link to original) The most obvious "insights" include: There are more Republican governors than Democratic governors Most Democratic governors are from the coastal states There is exactly one Independent governor Small states on the Eastern seaboard is messing up...

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A gem among the snowpack of Olympics data journalism

It's not often I come across a piece of data journalism that pleases me so much. Here it is, the "Happy 700" article by Washington Post is amazing.   When data journalism and dataviz are done right, the designers have made good decisions. Here are some of the key elements that make this article work: (1) Unique The topic is timely but timeliness heightens both the demand and supply of...

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Excellent visualization of gun violence in American cities

I like the Guardian's feature (undated) on gun violence in American cities a lot. The following graphic illustrates the situation in Baltimore. The designer starts by placing where the gun homicides occured in 2015. Then, it leads readers through an exploration of the key factors that might be associated with the spatial distribution of those homicides. The blue color measures poverty levels. There is a moderate correlation between high numbers...

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The visual should be easier to read than your data

A reader sent this tip in some time ago and I lost track of who he/she is. This graphic looks deceptively complex. What's complex is not the underlying analysis. The design is complex and so the decoding is complex. The question of the graphic is a central concern of anyone who's retired: how long will one's savings last? There are two related metrics to describe the durability of the stash,...

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