Living
10 posts
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...
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...
I like independent cinema, and here are three French films that come to mind as I write this post: Delicatessen, The Class (Entre les murs), and 8 Women (8 femmes). The French people are taking back cinema. Even though they purchased more tickets to U.S. movies than French movies, the gap has been narrowing in the last two decades. How do I know? It's the subject of this infographic: How do I...
Kaiser Fung (JunkCharts, Principal Analytics Prep) finds a visual design that highlights the insights from data comparing ticket sales of U.S. movies versus French movies in France.
On the occasion of the hit movie Crazy Rich Asians, the New York Times did a very nice report on Asian immigration in the U.S. The first two graphics will be of great interest to those who have attended my free dataviz seminar (coming to Lyon, France in October, by the way. Register here.), as it deals with a related issue. The first chart shows an income gap widening between...
Kaiser Fung (Junkcharts, Principal Analytics Prep) examines several charts made by New York Times on income distribution among Asian Americans, as the hit movie Crazy Rich Asians dominates the U.S. box office in September.
A reader submitted the following chart from Pew Research for discussion. The reader complained that this chart was difficult to comprehend. What are some of the reasons? The use of color is superfluous. Each line is a "cohort" of people being tracked over time. Each cohort is given its own color or hue. But the color or hue does not signify much. The dotted lines. This design element requires a...
This article has a nice description of earthquake occurrence in the San Francisco Bay Area. A few quantities are of interest: when the next quake occurs, the size of the quake, the epicenter of the quake, etc. The data graphic included in the article fails the self-sufficiency test: the only way to read this chart is to read out the entire data set - in other words, the graphical details...
Note for those in or near Zurich: I'm giving a Keynote Speech tomorrow morning at the Swiss Statistics Meeting (link). Here is the abstract: The best and the worst of data visualization share something in common: these graphics provoke emotions. In this talk, I connect the emotional response of readers of data graphics to the design choices made by their creators. Using a plethora of examples, collected over a dozen...
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...