Junk Charts is made by Kaiser Fung, the Web’s first data visualization critic. I discuss what makes graphics work, and how to make them better. Think chartjunk + junk art. Here is my first post from nine years ago. These...

As I was getting worried about the chances of survival of my current laptop (bought in emergency upon my return from Kyoto!), I decided to use some available grant money to buy a new laptop without stepping through the emergency square. Thanks to my local computer engineer, Thomas, I found a local dealer selling light […]

Editor's note: This is a repost of "R and the little data scientist's predicament". A brief idea for an update is presented at the end in italics. I just read this fascinating post on _why, apparently a bit of a cult hero … Continue reading →

Tom Davenport is one of the leading voices on business analytics, and he has a new piece titled "Why are most 'targeted' marketing offers so bad?" in which he expanded on a question I raised in my HBR article. Tom's book Competing on Analytics is a classic. He has a great appreciation for the business of the data business. In the new feature, Davenport classifies marketing offers he gets into…

I just read this review by Louis Menand of a biography of John Updike. Lots of interesting stuff here, with this, perhaps, being the saddest: When Updike received the National Book Foundation Medal for Distinguished Contribution to American Letters, in 1998, two of [his second wife's] children were present, but his were not invited. Menand’s […] The post Updike and O’Hara appeared first on Statistical Modeling, Causal Inference, and Social…

In my statistics classes, I learned to use the variance or the standard deviation to measure the variability or dispersion of a data set. However, consider the following 2 hypothetical cases: the standard deviation for the incomes of households in Canada is $2,000 the standard deviation for the incomes of the 5 major banks in Canada […]

Next week, Professor Di Cook from Iowa State University is visiting my research group at Monash University. Di is a world leader in data visualization, and is especially well-known for her work on interactive graphics and the XGobi and GGobi software. See her book with Deb Swayne for details. For those wanting to hear her speak, read […]

On the last day of the IFCAM workshop in Bangalore, Marc Lavielle from INRIA presented a talk on mixed effects where he illustrated his original computer language Monolix. And mentioned that his CRC Press book on Mixed Effects Models for the Population Approach was out! (Appropriately listed as out on a 14th of July on […]

James Keirstead writes: I’m working on some regressions for UK cities and have a question about how to interpret regression coefficients. . . . In a typical regression, one would be working with data from a sample and so the standard errors on the coefficients can be interpreted as reflecting the uncertainty in the choice […] The post How do you interpret standard errors from a regression fit to the…

An emailer asks:I am really interested in Bayesian analysis, but I don't get the issue of sampling intention being so important in frequentist t-tests; if you have 60 values you have 60 values surely - why does your intention matter? The computer does ...

I wrote a little guide to giving talks that goes along with my data sharing , R packages, and reviewing guides. I posted it to Github and would be really happy to take any feedback/pull requests that folks might have. If … Continue reading →

Josh Miller writes: I came across your paper in the Journal of Management on unreplicable research, and in it you illustrate a point about the null hypothesis via the hot hand literature. I am writing you because I’d like to move your current prior (even if our work uses a classical approach). I am also […] The post Understanding the hot hand, and the myth of the hot hand, and…

I’ve interviewed a few people for jobs at Monash University, and there’s always someone who comes out with something surprising. Here are some real examples. For a post-doctoral research position: Q: What would you say were your major weaknesses? A: I don’t have any. Q: Really? You can’t think of anything that you could work […]

Today is Egon Pearson’s birthday: 11 August 1895-12 June, 1980. E. Pearson rejected some of the familiar tenets that have come to be associated with Neyman and Pearson (N-P) statistical tests, notably the idea that the essential justification for tests resides in a long-run control of rates of erroneous interpretations–what he termed the “behavioral” rationale of tests. In an […]

This is an interesting story about the Meningitis B vaccine (some additional background here and here). In a nutshell, the main issue is that vaccines are subject to a slightly different regulation than other "normal" drugs. For example, patents do not...