Borne out of everyday curiosities, learning experiments, and mild insomnia.
An ongoing series about looking at the everyday through the eyes of data and charts.
Reviving the currently defunct Census-produced publication with current data.
Not everything has to be visualized. I do it anyway.
There are rules—usually for specific chart types meant to be read in a specific way—that you shouldn’t break. When they are, everyone loses. This is that small handful.
There are many ways to die. Cancer. Infection. Mental. External. This is how different groups of people died over the past 10 years, visualized by age.
Some jobs tend towards higher divorce rates. Some towards lower. Salary also probably plays a role.
It was a rough year, which brought about a lot of good work. Here are my favorite data visualization projects of the year.
From the teenage years to college to adulthood through retirement, sleep is all over the place at first but then converges towards consistency.
The individual data points of life are much less predictable than the average. Here’s a simulation that shows you how much time is left on the clock.
People cry for different reasons and some tend to cry more than others. What makes people cry the most?
Households are seeing the value of their savings decrease significantly over a short period of time. Now seems like a good time to take the long-term point of view.
With absolute certainty, you will die. When will it happen? That is a trickier question. But we can run simulations to explore the possibilities.
This is a guide to protect ourselves and to preserve what is good about turning data into visual things.
A practical resource for beginners who want to visualize data for humans.
