Large-ish data packages in R

Posted to Data Sources  |  Tags: ,  |  Nathan Yau

If you’ve played around with R enough, there comes a time when you just need some data to mess around with. Maybe it’s to learn a new method or to make one of your own. R offers some small-ish, clean datasets to poke at, but sometimes you need bigger, messier data. Hadley Wickham from RStudio released four popular large-ish datasets in package form to help you with that.

I’ve released four new data packages to CRAN: babynames, fueleconomy, nasaweather and nycflights13. The goal of these packages is to provide some interesting, and relatively large, datasets to demonstrate various data analysis challenges in R. The package source code (on github, linked above) is fully reproducible so that you can see some data tidying in action, or make your own modifications to the data.

Good.

Favorites

This is an American Workday, By Occupation

I simulated a day for employed Americans to see when and where they work.

Life expectancy changes

The data goes back to 1960 and up to the most current estimates for 2009. Each line represents a country.

10 Best Data Visualization Projects of 2015

These are my picks for the best of 2015. As usual, they could easily appear in a different order on a different day, and there are projects not on the list that were also excellent.

Years You Have Left to Live, Probably

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.