Thanks for making this a memorable year, everyone. Happy holidays!
Nicely done… only problem is that the distance from 0 to 1 on the y axis shouldn’t be the same as the other distances, since 0 is actually undefined on the log axis. (Comment intended to be humorous)
Mele Kalikimaka as well! *<:-)
Thank you, Nathan, for your wonderful blog. I hope 2012 is filled with smiles.
I’d like to know the source of the data portrayed in this graph.
Got it direct from Santa. It only makes sense if you believe.
Really like the stuff you are publishing……….If they’re not inspiring anyone……I’m truly Inspired keep doing what you do!
Nathan, thanks for all your work. It is very much appreciated.
Become a member.
Learn to visualize your data.
What you get
Many lists of maps promise to change the way you see the world, but this one actually does.
So far we’ve seen when you will die and how other people tend to die. Now let’s put the two together to see how and when you will die, given your sex, race, and age.
The individual data points of life are much less predictable than the average. Here’s a simulation that shows you how much time is left on the clock.
I call myself a statistician, because, well, I’m a statistics graduate student. However, the most important things I’ve learned are less formal, but have proven extremely useful when working/playing with data.