Kaizen-R

Tag: variables

  • Cleaning Data: testing DataExplorer

    Intro (It’s been a few weeks, taking some time off to recharge batteries before I get myself into a master… So I thought it would be a good idea.) Anyhow, to the point: Many a time, when working with data, the first thing will be to “look at it”. Then maybe you’ll need to clean…

  • Functions, Environments, Closures: Alternatives to Objects (an intro)

    Intro So I’ve mentioned the concepts of Functional Programming in R a couple of times (here & here) already. I’ve also played a bit with OOP (Object Oriented Programming) in R. But I needed to explain it to others. There are MANY resources on the topic, but I wanted to SHOW it with a reasonably…

  • Before ML

    Applying Machine Learning algorithms and “doing AI” is only a (relatively) small part of the whole process of modern data analysis. As I have mentioned maybe a few times by now, a much bigger part of it all has to do with gathering, cleaning, “munging”, and then understanding and visualizing. Modelling usually cannot happen before…