People worry about data overload. Fooey. Charts and musings by Nathan Yau.
A dollar might not buy you as much in one state as it does in the other.
I was curious who played for a single team over their entire career, who skipped around, and how the patterns changed over the decades.
We already looked at minimum wage over time, but when it comes to geography and income, you also have to consider the cost of living for a fair comparison.
Minimum wage has increased over the years, but by how much depends on where you live.
I compared spending in 1996 against the most recent spending estimates from the Bureau of Labor Statistics.
Unemployment has hit some industries more than others. Here's how the most recent estimates compare against last year's.
It seems like there’s been more player movement than usual over the years. Didn’t players used to play on a single team for the entirety of their careers?
When you have a big family, it's a challenge to figure out how everyone is related. So here are some charts to help you figure it out.
Someone mentioned that $400,000+ per year was commonplace in American households. That seemed like an odd comment.
With wildfires burning in the western United States, smoke fills the air. This is an animation of the air quality during the past couple of months.
The wind was blowing smoke and ash from wildfires further up north from where I live. The sky turned an eerie orange. I wondered about past fires and made the chart below.
There's a 6 percent figure from the CDC that could be easily misinterpreted. Here's what it means.
What is old? When it comes to subjects like health care and retirement, we often think of old in fixed terms. But as people live longer, it's worth changing the definition.
You've probably heard the lines about how "40 is the new 30" or "30 is the new 20." What is this based on? I tried to solve the problem using life expectancy data. Your age is the new age.
30 is the new 20. Wait. 40 is the new 20. No, scratch…