Dr. Saed Sayad, a Professor at the University of Toronto, has created a great diagram about the elements of Data Mining. It is map (mathematical tree structure) that shows many of the common techniques in data mining and when to apply each one. Note: you can click on individual elements in the map for more details.
Ron Zacharski is currently writing a data mining book, A Programmer’s Guide to Data Mining. The book is targeted at programmers that want to know when and how to apply recommendation engines and other data mining techniques. The book is still in the writing phase, but I can say the first couple chapters are excellent. The book will always be available for free download.
If you are a programmer that is looking to add some recommendations to a website, I would highly suggest taking a look at this book.
This post is notes from the Coursera Data Analysis Course.
Load the data and just look at it
data <- read.csv('localfile.csv')
table(data$column) - count of how many times each value appears in the column
any(data$column < 100)
all(data$column > 100)
Look for missing values
For more information on any R command, just type ? in the R console. For example, if you want to know more about the dim command, just type ?dim
A more interactive and visual view of the examples can be found at this new, not yet complete, D3 Gallery.