Posted in: Food & Nutrition Organizations Places & Geography Wolfram Language

In today’s blog post, we will use some of the new features of the Wolfram Language, such as language processing, geometric regions, map-making capabilities, and deploying forms to analyze and visualize the distribution of beer breweries and whiskey distilleries in the US. In particular, we want to answer the core question: for which fraction of the US is the nearest brewery further away than the nearest distillery?

Disclaimer: you may read, carry out, and modify inputs in this blog post independent of your age. Hands-on taste tests might require a certain minimal legal age (check your countries’ and states’ laws).

We start by importing two images from Wikipedia to set the theme; later we will use them on maps.

Every four years for more than a century there’s been an International Congress of Mathematicians (ICM) held somewhere in the world. In 1900 it was where David Hilbert announced his famous collection of math problems—and it’s remained the top single periodic gathering for the world’s research mathematicians.

This year the ICM is in Seoul, and I’m going to it today. I went to the ICM once before—in Kyoto in 1990. *Mathematica* was only two years old then, and mathematicians were just getting used to it. Plenty already used it extensively—but at the ICM there were also quite a few who said, “I do *pure* mathematics. How can *Mathematica* possibly help me?”

We recently posted a blog entry celebrating the anniversary of the Apollo 11 landing on the Moon. Now, just a couple weeks later, we are preparing for another first: the European Space Agency’s attempt to orbit and then land on a comet. The Rosetta spacecraft was launched in 2004 with the ultimate goal of orbiting and landing on comet 67P/Churyumov–Gerasimenko. Since the launch, Rosetta has already flown by asteroid Steins, in 2008, and asteroid 21 Lutetia, in 2010.

NASA and the European Space Agency (ESA) have a long history of sending probes to other solar system bodies that then orbit those bodies. The bodies have usually been nice, well-behaved, and spherical, making orbital calculations a fairly standard thing. But, as Rosetta recently started to approach comet 67P, we began to get our first views of this alien world. And it is far from spherical.

It’s been a while since we looked at American Community Survey data in Wolfram|Alpha. Our first efforts included surveying ACS data related to education, income, and diversity, only touching the tip of the iceberg.

Recently, we took a deeper look at the data to unearth some of the least “average” communities in the US.

As you might guess, at the national level, female and male populations are split almost evenly (50.8% and 49.2%, respectively). But there are metropolitan communities in the US where the split doesn’t hew to the national average, and the ACS data in Wolfram|Alpha lets us find them.

Take Susanville, CA, for example. At just 34.5%, this community in Northern California has the smallest percentage of female residents in the US.

*Photography by Tracy Howl and Paul Clarke*

Has our newfound massive availability of data improved decisions and lead to better democracy around the world? Most would say, “It’s highly questionable.”

Conrad Wolfram’s TEDx UK Parliament talk poses this question and explains how computation can be key to the answer, bridging the divide between availability and practical accessibility of data, individualized answers, and the democratization of new knowledge generation. This transformation will be critical not only to government efficiency and business effectiveness—but will fundamentally affect education, society, and democracy as a whole.

Wolfram|Alpha and *Mathematica* 10 demos feature throughout—including a live Wolfram Language generated tweet.

More about Wolfram’s solutions for your organization’s data »