A few days ago, the great Revolutions blog posted (“Visualizing the census“) about a new utility called StatJump where you can visualize data from the 2010 US Census using, of course, R. Pretty impressive. The image here shows the percentage of students graduating High School, by county. There are tons of canned visualizations — just click one of the menu items (e.g. “Social Demographic Data”) on the home page. You can also run your own searches, though it only seems to return the data in a table — i.e. I haven’t figured out how to generate these maps from my own search. Very powerful tool, considering all those data being searched.
Archive for the ‘Software’ category
StatJump – Data Search Made Easy
July 11th, 2010How to Make a Heatmap – a Quick and Easy Solution | FlowingData
February 23rd, 2010R creators win prestigious Statistical Computing and Graphics Award – Revolutions
February 3rd, 2010“The American Statistical Association recently created a new, bi-annual award to to recognize an individual or team for innovation in computing, software, or graphics that has had a great impact on statistical practice or research. The committee has just announced the winner (or in this, joint winners) of the first award: Robert Gentleman and Ross Ihaka, for their work in initiating the R Project for Statistical Computing.”
via Revolutions: R creators win prestigious Statistical Computing and Graphics Award.
Create and Use Barcodes to Simplify Your Book List
January 9th, 2010
barcode example (converted to png)
In keeping track of my books, I have been looking for a simple way to generate barcodes as individual graphics that I could embed in my book list. I think I’ve found it: Dan Bornstein’s Barcode Server, which I found at the BarcodesInc‘s UPC/EAN Barcode Generator.While the online version is nice, I wanted something a little more flexible and robust, so I downloaded the C source code.
» Read more: Create and Use Barcodes to Simplify Your Book List
Interactive data visualizations with R
January 3rd, 2010Jeroen Ooms, a visiting scholar at UCLA’s Department of Statistics, has been very busy with R — he has two wonderfully slick online apps where users are able (for free) to visualize datasets using R’s ggplot. If you’re interested in R, stocks, or just data visualization, you’ll find something of real value in his applications.
