People worry about data overload. Fooey. Charts and musings by Nathan Yau.
A simulation to estimate how long until you are seated at a restaurant.
After living expenses, where does the money go, and how does it change when you have more cash available?
I think we can all benefit from knowing a little more about others these days. This is a glimpse of how different groups live.
Shifting from one occupation to another can take a swing in the career path. Given your current job, what paths could you take? Here are some constructed possibilities.
When people move to different jobs, here's where they go.
Or, given your age, the percentage of fish left in the sea. Here's a chart.
Sleep. Work. Play. The times and everything in between change depending on who you talk to.
Unfortunately, while of varying magnitude, mass shootings are somewhat regular in the United States.
Compared to 1970, a shift towards women making the higher income.
The shifting majorities of the sexes in the workplace.
This is who marries whom, based on what one does for a living.
This is how Airbnb visitors judge location, which provides a view into where city centers begin and end.
What percentage of a waiter and waitress's income comes from tips and what comes from salary? The calculation isn't straightforward but we can try.
Some jobs tend towards higher divorce rates. Some towards lower. Salary also probably plays a role.
Using a century of data, we watch the shift of marital status in the United States.