This blog is about the art of exploratory data analysis, which is also the subject of my new book, Exploring Data in Engineering, the Sciences, and Medicine (http://www.oup.com/us/ExploringData). This art is appropriate in situations where y...

On the first article, we saw a quick-and-dirty method to predict disk space exhaustion when the usage pattern is rigorously linear. We did that by importing our data into R and making a linear regression. In this article we will see the problems with that method, and deploy a more robust solution. Besides robustness, we will also see how we can generate...

The words "statistics" and "baseball" are often found near each other, but there's a lot more to statistics than dividing the number of hits by the number of swings to get a batting average. And there's a lot more to sabermetrics -- the statistical analysis of baseball -- than averages, too. Many baseball fans are also stats geeks (and...

quanttrader.info is a good quantitative repository, where I found an idea about seasonal spreads play. The idea of seasonal pair trading differs from pairs trading in a way, that it doesn’t try to find deviation from the spread’s mean, but it looks at seasonal spread patterns. In some cases it is easier to find an

Summary: If you can get past the strange underlying story, then this gives a good introduction to R to someone with no programming experience. However, if you have any experience with other programming languages then another book is likely to be more suitable. Reference: Quick, J. M., Statistical Analysis in R: Beginners Guide, Packt Publishing,