The theme for day 11 of the #30DayChartChallenge is "physical," so I'm calling this kind of plot "pavement plots" - they sort of look like sidewalks. The great-nephew of boxplots, lines are drawn every 5th percentile, with the quartiles extended slightly to help get you situated. I kind of like it?
It's day 10 of the #30DayChartChallenge, "pop culture," and what could be more pop than BOXPLOTS? Inspired by "40 years of boxplots" vita.had.co.nz/papers/boxpl... (@hadley.nz I'm looking forward to the 55-year update!)
A year of creativity, by Jacob and Unerman
planspace.org/20260409-yea...
This is so well done
Day 9 of the #30DayChartChallenge is "wealth," which is often related to income! Here I develop this display a little bit by adding shading for density of people at every age and income level (1yr/$2k bins). It adds some more interesting context, I think.
Here's another kind of "circular" chart for day 8 of the #30DayChartChallenge: it's a CDF again, but the x axis wraps (like a circle!) so that we still see something of how far it goes, without completely squishing all the people at the left. (Probably not a good idea to do this!)
For day 8 of the #30DayChartChallenge the theme is "circular," so I'm circling back to this quantile plot method and adding in the circular zeros that I dropped the first time I did it. Also rotating to put age on the x axis and a couple other little improvements.
I'm making QQ plots for day 7 of the #30DayChartChallenge: multiscale! Household incomes are higher than personal incomes, but usually not double... I threw in a log/log version as well, which is arguably best for showing the "bump" here. (But I don't really super love any of these...)
Doing the same thing for households I get a slightly lower Gini coefficient, as combining incomes reduces (slightly) inequality between individuals. (Opposite direction to typical result, because typically people only include full-time employed individuals on the individual side.)
Day 6 of the #30DayChartChallenge, but I'm sticking with my usual data... It's time for a Lorenz curve! The Gini I get is different from commonly reported ones because of inclusion criteria, I believe. The chart itself is spiritually like my day 2 one and technically like my day 4 one...
And with this method, it's easy to add way more distributions in too - going to each year of age, rather than a smattering of decades. (There is some noise at this level though.)
Here's another day 5 experiment for the #30DayChartChallenge - I like this one much more! This starts to show the age-stretching of the top of the distribution a lot more... Is there a name for plots like this?
alternate improved (?) version...
Look at this spiky experiment for day 5 of the #30DayChartChallenge... I don't like that histograms have a bin-width parameter through which to editorialize. I tend to prefer narrower bins, so I took it... too far.
It's day 4 of the #30DayChartChallenge and it's "slope" day... I'm not making a slope graph, but these have some slope to them... I really want these to dominate simple histograms (as I did yesterday) but I'm not sure they do...
For day 3 of the #30DayChartChallenge, let's say this counts for "mosaic"... Trying to show how income varies across age using a conventional small-multiple approach with histograms across age buckets. Meh?
Inspired by @shrikhalpada.dev, it's my #30DayChartChallenge day 2, "pictogram." Circles are pictures, right? Arguably just jittered sampled points... I like how it shows the "density" of people/income. And a fun coincidence that nice round numbers break the total income earned into roughly quarters.
Just getting started on the #30DayChartChallenge... Didn't get as much done as I had hoped, but here's something! Day one is supposed to be "part to whole" - I wanted to start showing how a sub-distribution is a part of a larger distribution.
A banner with the prompts for the 6th edition of the #30DayChartChallenge.
Are you ready for the next #30DayChartChallenge? 🚀
Only 2 weeks left until the 6th edition starts — it’s time to reveal this year's topics 🎉
1 prompt for each day of April across 5 categories to spark inspiration, experimentation, and learning 📊
Who’s in? 👀
#dataviz #datavisualization
youtu.be/oA3Sbm2PIGI
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