What first interested you in data analysis, Python and pandas? I started my career working in ad tech, where I had access to log-level data from the ads that were being served, and I learned R to ...

If you’d like an LLM to act more like a partner than a tool, Databot is an experimental alternative to querychat that also works in both R and Python. Databot is designed to analyze data you’ve ...

Using Quarto with Observable JavaScript is a great solution for R and Python users who want to create more interactive and visually engaging reports. There’s an intriguing new option for people who ...

Designed to introduce students to quantitative methods in a way that can be applied to all kinds of data in all kinds of situations, Statistics and Data Visualization Using R: The Art and Practice of ...

Gothic churches point towards Jerusalem… or do they? Data storyteller R.J. Andrews put this theory to the test. Andrews discussed his findings, among other adventures and discoveries in the field of ...

This is a collection of my personal notes for Data Visualization in Python. Originally I had kept these in a collection of Jupyter notebooks, but it will be much more useful to just put them online so ...

Java can handle large workloads, and even if it hits limitations, peripheral JVM languages such as Scala and Kotlin can pick up the slack. But in the world of data science, Java isn't always the go-to ...