Data Underload

People worry about data overload. Fooey. Charts and musings by Nathan Yau.

Basketball Stat Cherry Picking

Wow your friends during the game with random win percentages, based on various player stats.

If We All Left to “Go Back Where We Came From”

Imagine that those with immigrants in their family tree left the country. Almost everyone, basically.

Data, R, and a 3-D Printer

We almost always look at data through a screen. It's quick and good for exploration. So is there value in making data physical? I played around with a 3-D printer to find out.

Most Common Occupation by Age

As we get older, job options shift — along with experience, education, and wear on our bodies.

Waiting For a Table

A simulation to estimate how long until you are seated at a restaurant.

How Different Income Groups Spend Money

After living expenses, where does the money go, and how does it change when you have more cash available?

The Demographics of Others

I think we can all benefit from knowing a little more about others these days. This is a glimpse of how different groups live.

Constructed Career Paths from Job Switching Data

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.

Switching Jobs

When people move to different jobs, here's where they go.

Percentage of People Who Married, Given Your Age

Or, given your age, the percentage of fish left in the sea. Here's a chart.

American Daily Routine

Sleep. Work. Play. The times and everything in between change depending on who you talk to.

Days Without a Mass Shooting

Unfortunately, while of varying magnitude, mass shootings are somewhat regular in the United States.

Who Earns More Income in American Households?

Compared to 1970, a shift towards women making the higher income.

Most Female and Male Occupations Since 1950

The shifting majorities of the sexes in the workplace.

Occupation Matchmaker

This is who marries whom, based on what one does for a living.