It emphasizes individual points in a distribution instead of binning them like a histogram.
Unemployment has hit some industries more than others. Here's how the most recent estimates compare against last year's.
As you would imagine, what we search for online shifted over the past…
Salaries vary across occupations. Here are some charts that show by how much for 800 of them.
The day-to-day changes a lot when you have kids. However, it seems to change more for women than it does for men.
While we’re on the subject of distributions, Fathom used a collection of beeswarm…
A meme that cried “jobs not mobs” began modestly, but a couple of…
Defaults are generalized settings to work with many datasets. This is fine for analysis, but data graphics for presentation benefit from context-specific design.
How the schedules between remote and non-remote workers differ during workdays.
Educate Your Child by Gabrielle LaMarr LeMee uses census data and the school…
When people move to different jobs, here's where they go.
If a news organization wants to talk about the world in a fair…
The histogram is my favorite chart type, but it's unintuitive for many. So I've been using the less accurate but less abstract beeswarm.
The shifting majorities of the sexes in the workplace.
Some jobs tend towards higher divorce rates. Some towards lower. Salary also probably plays a role.
Compare incomes for young people from the Millennial generation and the baby boomer generation.
Try the more element-based approach instead of your traditional histogram or boxplot.
For various occupations, the difference between the person who makes the most and the one who makes the least can be significant.