Results of a restless mind late at night.
These are the top 250 products that people injure themselves on or with in a year.
So far we've seen when you will die and how other people tend to die. Now let's put the two together to see how and when you will die, given your sex, race, and age.
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.
I wanted to see how daily patterns emerge at the individual level and how a person's entire day plays out. So I simulated 1,000 of them.
Typical time use varies by who you talk to. This interactive shows you the differences when you vary age and sex.
Every day is a bit different, but here is a wideout view of how Americans spend their days. Compare with your own time use.
There are a lot of great craft breweries in the United States, but there is only so much time. This is the computed best way to get to the top rated breweries and how to maximize the beer tasting experience. Every journey begins with a single sip.
Looking at educational attainment, income, work hours, and commute, this is who has the same work life as you do.
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.
Work changed over the years. Salaries changed over the years. I was curious: If you compared your personal income from present day, how would it compare to the distribution of salaries in previous decades?
I already revived the first Statistical Atlas of the United States from 1870 with modern data, but there's still more data to look at. So I kept on going.
Due to budget cuts, there is no plan for an updated atlas. So I recreated the original 1870 Atlas using today's publicly available data.
I was toying around with the idea of multivariate beer, where the ingredients varied by county demographics. Could I taste the difference? Here's how the experiment went.
Subway dominates the sandwich chains.
Select one or more races for a quick comparison. Counties are colored by the most prevalent.