People worry about data overload. Fooey.
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.
The relationship and dynamics change. Less lust, more companionship. Is that really how it works?
It’s harder to make friends as you get older. There aren’t as many…
As expected, this time, the Golden State Warriors won the championship last night.…
If it seems like every day you log in to Facebook, it’s someone’s birthday, you're probably not that far off.
There is a fixed number of minutes during the day. Where do parents usually draw the time from?
I simulated a day for employed Americans to see when and where they work.
This is what you get when you add up all the days the average American adult spends sleeping, eating, commuting, and doing other activities.
Compare incomes for young people from the Millennial generation and the baby boomer generation.