Nathan Yau

There are many tools to clean up your data, and they can be helpful with the right dataset and situation. I tend to stick to a small handful. Here’s what works for me.

Randall Munroe of xkcd was on the Data Stories podcast. He talks about…

Interested in reviews on the Sephora website for waterproof makeup, Connie Ye figured…

Stephen M. Stigler argues that data have a limited shelf life. The abstract:…

In a follow-up to a map from a few years back, Andy Woodruff…

I always enjoy me some scale of space graphics. Neal Agarwal made an…

Laughter online is full of nuances. A capitalization of some letters or a…

Every month, I collect new visualization tools, code, and datasets, along with helpful resources. Here’s the good stuff for October.

ProPublica, with The Advocate and The Times-Picayune, estimated chemical concentrations in a highly…

This month PG&E has been shutting down power to thousands of households in…

I feel like satellite imagery has upped its skillset in recent years. According…

You can see the time-lapsed imagery with this browser. [via @weatherdak]…

For The Atlantic, Ian Bogost on communicating complex ideas to an audience:
One…

Charts can reveal truths that we never would see otherwise, but they can…

Marion Rouayroux, a graphic designer and a big fan of the show Friends,…

Analysis and visualization are often a messy process that never matches up to the step-by-step guides you read, but that’s normal.

For Datawrapper, Lisa Charlotte Rost outlines the steps to prepare and clean your…

Overview is an ongoing project that uses a zoomed out view for a…