1. Do we need a "jobs czar"?
2. Chris Horn on the Irish Economy
3. The L.A. Times on the Irish Economy
4. The Collaborative on Academic Careers in Higher Education (COACHE)
5. Seeking Alpha on last Thursday's U.S. jobless claims report; the story features some graphs from Blytic.com that are worth checking out
6. The Smart Data Collective: The Data-Driven Enterprise Community; their blog recently featured a critical review of McKinsey's guide to behavioural economics for marketers
7. Intelligent Enterprise: "Possibly the most important factor influencing the spread of predictive analytics is the growing popularity of R... Vendors, including IBM SPSS, Information Builders and SAS are incorporating R." More here.
Showing posts with label graphs. Show all posts
Showing posts with label graphs. Show all posts
Sunday, March 07, 2010
Monday, November 30, 2009
Graphs in Stata
There's been a lot of talk around here lately about R, and in particular some criticism about the graphing ability of Stata. I thought it was time someone defended Stata. The manual is hard to get to grips with, but there are a couple of really good things about graphs in Stata. Firstly you can get them to look however you want, even like the ones in excel if you wish. Secondly, it's relatively easy to write up your own program once you've found a style you like. Once this is set up you can label, title, subtitle, show percentages on bars etc. automatically. And then you only need to type programname varname. This is especially useful when you have dozens of graphs to do, and is what we've been doing for the Irish Universities Study, an example is below.
Alan's also done some good ones with confidence intervals here.
Someone sent round an example of a map graph in R, but this is also relatively easy (I managed it so it must be!) to do in Stata with SPAMP. There is a useful guide here. Here's one I did of Ireland.
Alan's also done some good ones with confidence intervals here.
Someone sent round an example of a map graph in R, but this is also relatively easy (I managed it so it must be!) to do in Stata with SPAMP. There is a useful guide here. Here's one I did of Ireland.
Tuesday, September 15, 2009
Chernoff Faces
For those interested in visulaisation, "Chernoff Faces" display multivariate data in the shape of a human face. The individual parts, such as eyes, ears, mouth and nose represent values of the variables by their shape, size, placement and orientation. The idea behind using faces is that humans easily recognize faces and notice small changes without difficulty.
Sunday, November 18, 2007
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