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,…
Here’s my second blog post on Julia. For a simple simulation I needed some randomly generated numbers from a normal distribution. In Julia, there are multiple ways to generate them. But to really customize the distributions, you need a random number generator (RNG). Because I found the documentation to be…
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…