How to use your location history to compile a breakdown of all your international travel. Fast, simple, and valuable for immigration purposes or visa applications. We will use the Google Maps takeout feature and a small Python script Introduction W...

R Dataframes in the tidyverse are more than just simple tables these days. They can store complex information in list columns, and this becomes an immensely powerful framework when we use it to apply methods to different sets of data in parallel. In th...

This post is an event report and a quick walk through to a submission that I developed with a group of participants at an Alibaba / Met Office UK hackathon. We are using the A* algorithm with a couple of tweaks to route cargo balloons from London to a ...

In this post I am giving a quick overview of how to create editable plots in PowerPoint from R. These plots are comprised of simple vector-based shapes and thus allow you to change labels, colours, or text position in seconds. Your project managers wi...

A big part of the interview process for many data science positions is a data science task or assignment. Companies usually choose a data set that is typical for them, while only in rare cases a sample of their actual production data. Here, I am explor...