# heatmap

49 posts

Via twitter, John B. sent me the following YouGov chart (link) that he finds difficult to read: The title is clear enough: the higher your income, the higher you set the bar. When one then moves from the title to the chart, one gets misdirected. The horizontal axis shows pound values, so the axis naturally maps to "the higher your income". But it doesn't. Those pound values are the "cutoff"...

Someone sent me this via Twitter, found on the Data is Beautiful reddit: The chart does not deliver on its promise: It's tough to know which birds like which seeds. The original chart was also provided in the reddit: I can see why someone would want to remake this visualization. Let's just apply some Tufte fixes to it, and see what happens. Our starting point is this: First, consider the...

San Franciscans are fed up with excremental growth. Understandably. Here is how the Economist sees it - geographically speaking. *** In the Trifecta Checkup analysis, one of the questions to ask is "What does the visual say?" and with respect to the question being asked. The question is how much has the problem of human waste in SF grew from 2011 to 2017. What does the visual say? The number...

The above chart, when it was unveiled at the end of November last year, got some mileage on my Twitter feed so it got some attention. A reader, Eric N., didn't like it at all, and I think he has a point. Here are several debatable design decisions. The chart uses an inverted axis. A tax cut (negative growth) is shown on the right while a tax increase is shown...

Add interaction so that you can show different segments of the data and allow comparisons. Read More

I was looking at some Canadian data graphics while planning my talk in Vancouver this Thursday (you can register for the free talk here). I love the concept behind the following chart: Based on the forecasted temperature for 2015 (specifically the temperature on Christmas Eve), the reporter for National Post asked whether the winter of 2015 would be colder or warmer than the winters on record since 1990. The accompanying...

It’s baby season in America, with September the busiest month for births on average in the last two decades. So it seemed like the right time to remix this blog’s most-popular post: How Common is Your Birthday? That old heatmap, which highlighted specific dates for popularity, has been viewed more than 500,000 times here and published across the web. But it was flawed, namely that it used ordinal data (birthday...

A few weeks ago I posted about gender gaps in alcohol consumption around the world. In some countries — South Korea, for example — men and women consume quite different amounts of booze, according to the World Health Organization. Fueled by a love for sojo, South Korea’s men are among the heaviest drinkers in the world, consuming about 78 grams per day — nearly twice as much as other men on average....

On Twitter, someone pointed me to the following map of journalists who were killed between 1993 and 2015. I wasn't sure if the person who posted this liked or disliked this graphic. We see a clear metaphor of gunshots and bloodshed. But in delivering the metaphor, a number of things are sacrificed: the number of deaths is hard to read the location of deaths is distorted, both in large countries...

A heat map is a grid of numbers colored by value. I wrote a quick tutorial on how to make the now common statistical visualization. But at some point in the past few years, a heat map came to mean a geographic map with stuff on it. Cartographer Kenneth Field explains what these maps with stuff on it actually are and provides you with the "more established, more accurate and...