Why do people put data in a list in the first place? Because it can be really darn handy. In this blog post I elaborate on some good use cases for putting data frames in a list. Loading a lot of files In many situations you will be confronted with…
Replacing, excluding or imputing missing values is a basic operation that’s done in nearly all data cleaning processes. In my third blog post on Julia I give an overview of common solutions for replacing missing values. First, let’s create a dummy DataFrame as an example. Both columns, a and b,…
I recently started working with Julia. I’ve been reading some great things about it and I felt I needed to try it out. As I’m working myself through a data science project, I plan on writing a couple of blog posts on stuff that needs some explanation. In this first…
In this 2-part blog post I want to discuss two files that allow you to customize your R experience. In this part I discuss the .Renviron file. First I answer what it does, where you can find it and finally we get to the part where we actually use it.…
In this blog post I elaborate on the reality that statistical models often obscure the fact that some problems can actually be solved in a way that requires less time, resources and headaches. By using reference models and heuristics, decision makers can evaluate if those seemingly brilliant consultants are solving…
Having R as my data science lingua franca, some things in pandas feel less intuitive. As I’m slowly transitioning to pandas, I’ll be posting a lot of examples over the next couple of weeks. Here’s the first one: concatenating columns values of a pandas DataFrame into another (new) column. First…
Yesterday, Iceland gained a point against Argentina by putting up an icy wall in front of their goal. Nothing adds more spice to a football game than an underdog holding out against a football superpower. Sometimes details are responsible for second tier teams to win their group phase and for…