Even our biggest Wolfram|Alpha fans may have missed some of the stories we’ve shared this year—but here’s your chance to catch up! Without further ado, our 10 most popular Wolfram|Alpha Blog posts from 2013 More »
If you’re a big music fan (and who isn’t?), you’ve probably been carrying around a lot of the lyrics to your favorite songs and albums in your head. It’s unlikely that you get the chance to show off that expertise very often, though–but now’s your chance! Cash in your music knowledge for cool Wolfram prizes in the Alpha Albums contest. More »
I’ll admit that I am an awful singer, who also happens to sing a lot. But, oddly enough, there aren’t many songs that I know all the words to by heart. When I sing along to one of my favorite songs, I tend to fill in the blanks with plenty of hmms, hums, and other nonsensical gibberish. The end result can be both hilarious and excruciating to hear. More »
My family lives all over, with varying worldviews and equally varied career choices, from video game producers to truck drivers. So certainly reconnecting with family, both nuclear and extended, can be a daunting holiday experience. But don’t fret—Wolfram|Alpha is here to sort you out with the perfect ice breakers.
Suppose your brother is a truck driver who plans to move to Salt Lake City, Utah, from Raleigh, North Carolina, citing dissatisfaction with his wages and the cost of fuel, and how they juxtapose to the cost of living in Raleigh. You could first show how many truck drivers are in North Carolina and Utah, and from there ask the question “What is the average wage for truck drivers in North Carolina and Utah?”
We can see that truck drivers do earn more money in Utah than in North Carolina, and the price of diesel is, at the time of this writing, pretty much the same—only a few cents difference. But moving to another part of the country is a huge decision, and even if one can earn a few thousand dollars more, is it worth it? We could compare the cost of utilities in Salt Lake City and Raleigh or, more generally, the cost of living in Salt Lake City and Raleigh. More »
The long-term goal is to have an assistant app for every major course, from elementary school to graduate school. And the good news is that Wolfram|Alpha has the breadth and depth of capabilities to make this possible—and not only in traditionally “computational” kinds of courses.
The concept of these apps is to make it as quick and easy as possible to access the particular capabilities of Wolfram|Alpha relevant for specific courses. Each app is organized according to the major curriculum units of a course. Then within each section of the app, there are parts that cover each of the particular types of problems relevant to that unit.
From gathering around the family radio to listen to “The War of the Worlds” broadcast in 1938 to watching the local weather forecast on your 52-inch plasma TV, wireless transmission has been a primary source of information, communication, and entertainment for the past century. Today, thousands of radio and television stations are broadcasting around the world. Beyond your favorite songs, news broadcasts, and shows, how much do you know about the broadcast stations you listen to and watch? The United States Federal Communications Commission (FCC) has a large amount of information on the radio and television stations broadcasting in the U.S. as well as a number of stations in other countries in the Western Hemisphere, and recently this data was added to Wolfram|Alpha.
Try out the call sign for your favorite radio station. You might be interested to know who holds the license for that station or find out that it’s being broadcast from that antenna you drive by on your way to work. The local map not only shows you the location of the antenna, but is also zoomed in to show the approximate listening area. How tall is that antenna? Wolfram|Alpha has the answer, as well as a lot of other technical details about the station antenna.
On a road trip and stumble upon an interesting AM station broadcasting on 1010 kilohertz? You don’t need to know the call sign to get the information. Try “1010 am radio”, and Wolfram|Alpha will give you the information for the station broadcasting on that frequency closest to you. If it’s a long road trip, you might find a couple stations broadcasting on the same frequency along the way. All the stations broadcasting on 1010 kilohertz are shown, along with their locations and distances from you. More »
Renowned physicist Enrico Fermi’s name is synonymous with a type of estimation problem often illustrated by the classic question, “How many piano tuners are there in Chicago?” Finding a “Fermi estimate” of this number would typically involve multiplying a series of rough estimates, such as the population of Chicago, an approximate number of households owning pianos, the frequency with which a typical piano might be tuned, and so on. It’s unlikely that anyone would arrive at a precise, correct answer through this method, but a Fermi estimate should at least be able to generate an answer that is approximately the right order of magnitude.
A Fermi estimate usually seeks to measure a quantity that would be extremely difficult, if not impossible, to actually measure. “Piano tuners in Chicago” may have fallen into that category several decades ago, but as Wolfram|Alpha can now demonstrate, things have changed:
We recently overhauled our data on jobs and salaries in the United States, adding Bureau of Labor Statistics (BLS) data on more than 800 detailed occupations at the national, state, and metropolitan area levels. Which means Wolfram|Alpha can’t quite get you to an exact measurement of the number of piano tuners in Chicago (and presumably, many of them must at least dabble in other instruments), but it can come surprisingly close.
Wolfram|Alpha can also compute a number of interesting statistics that aren’t obvious from the source data, such as the fact that Chicago has quite a high density of musical instrument tuners and repairers—roughly 2.3 times the national average workforce fraction for this occupation—and that their median wage is roughly 1.3 times the national average. And it can also provide helpful context for any occupation, computing employment and wage information for related jobs and sub-specialties, according to BLS classifications.
You can also perform all kinds of interesting comparisons, of course: try asking Wolfram|Alpha to “compare producers and actors employment in California”, for example, or “garbage collectors vs waiters salaries in New York City”. Or if you’re contemplating a cross-country move, you might be interested to see a comparison between “computer programmers salaries in Seattle vs Philadelphia”.
And if you need to access salary and job-related data often, you can create your own Wolfram|Alpha Widgets tailored for specific jobs and regions. You can easily customize widgets, like the one below, and embed them in your website and share with your social networks.