Graphics by Nathan Yau, borne out of everyday curiosities, learning experiments, and mild insomnia.
What are the ingredients that make each cuisine? I looked at 40,000 recipes spanning 20 cuisines and 6,714 ingredients to see what makes food taste different.
After seeing a 1950s physical visualization, I wondered if I could follow a similar process using modern techniques.
Instead of looking at only the most common job in each state, I found the top five for a slightly wider view.
With almost absolute certainty, every product dies a quick death once its warranty…
After an unsuccessful battery search, the natural next step was of course to look up battery sizes and chart all of them.
It's in the details of 100,000 moments. I analyzed the crowd-sourced corpus to see what brought the most smiles.
Facebook took the biggest hit in the past three years. Snapchat and Instagram got more likes.
How the schedules between remote and non-remote workers differ during workdays.
Wow your friends during the game with random win percentages, based on various player stats.
Imagine that those with immigrants in their family tree left the country. Almost everyone, basically.
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.
As we get older, job options shift — along with experience, education, and wear on our bodies.
As 2020 approaches, let's aim for higher accuracy and less uncertainty.
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?