In a recent post, we discussed how to use Quarto with Python and VS Code. However, as a Python user, I’m not that familiar with .Rmd/.qmd files; I use ipynb notebooks most often. And in this post, I’ll show why you might consider using Jupyter Notebooks and ...

Quarto, the successor of R Markdown, is a powerful tool for creating reports and presentations. In this blog post, I’ll show you how easy it is to use Quarto in Visual Studio Code (VS Code) together with Python. Make your coding experience a breeze and learn useful techniques with ...

Introduction RMarkdown has been a staple for any Data Scientist that programs in R. Quarto builds on that, with multiple language support and additional features. Because of its language independent design, Quarto requires an independent installation....

I occasionally write scripts where I need to persist some information between runs. These scripts are often wrapped in a Docker image and deployed on Amazon ECS. This means that there is no persistent storage. I could use a database, but this would be overkill for the volume of data ...

Factor analysis is a statistical technique used to reduce the number of dimensions in order to simplify additional analysis or confirm a construct. In this video, we will look at a very simple example of factor analysis along with a visualization.

At Jumping Rivers, we love data science! Surprised? Didn’t think so … But, did you know that as well as providing training and consultancy, we also like to get involved with the data ...

What makes data clean? You may not be able to name those qualities, but you likely know messy data when you see it. In this blog post, we’ll look at a frequent offender: unpivoted data. You’ll learn what this is, how it can make for “tidier” data, and ...