How to Address a Data Mining Problem – Data Cleaning and Validation

This chapter is where our real journey begins (finally!, I can hear you exclaiming). We are now familiar enough with R and the data mining process and architecture to get involved with a real problem.

I say real problem I actually mean real, since we are going to face something that actually happened and that actually puzzled a non-trivial number of people in a real company. Of course, we are going to use randomized dataF here and fictitious names, nevertheless, this will not remove any pathos to the problem. We are shortly going to get immersed into some kind of mystery that actually came up, and we will need to solve it, employing data mining techniques. 

I know you may be thinking: OK, don't make it too serious, is it something which actually already got solved? You would be right, but...