For me at least the choice between ggplot2 and tmap is an ongoing question. Here are my latest thoughts on the subject (with code).

We trained models to think in simpler, more traceable steps—so we can better understand how they work.

This paper introduces the LEGO® Database, a large natural dataset that can be used to teach Structured Query Language (SQL) and relational database concepts. This dataset is well-suited for introductory and advanced database assignments and end-of-semester group projects. The data is freely available from Kaggle.com and contains eight tables with 633,250 rows of data on 11,673 LEGO® sets sold between 1950 and 2017. As a guiding example, I introduce an example group project assignment designed to provide students hands-on experience with database management and SQL queries. I also discuss tips, suggestions, and lessons learned from using the data for group projects over the past five years. While LEGO® bricks have been widely used in educational settings, including college and computer classrooms, this is the first work to discuss the use of LEGO® data in a college database course.

Posit is hiring a Python open-source developer to create more data analysis tools.

Learn to create high-quality PDFs using Quarto and Typst with this in-depth tutorial, including custom templates, branding, and advanced techniques.

Understanding how sub-topology design influences partition co-location

YouTube video by Posit PBC

Jumping Rivers is hiring a Junior Systems Administrator at its Newcastle Upon Tyne offices.

Data science agents need to accurately read plots even when the content contradicts their expectations. Our testing shows today's LLMs still struggle here.

It may be a good language for data science, but it’s not a great one.

dplyr but make it bussin fr fr no cap. Contribute to hadley/genzplyr development by creating an account on GitHub.

Curated news, articles and jobs related to Data Science, AI, & Machine Learning

If all you're doing on bluesky is scrolling, liking and posting, then you're riding a bike with training wheels. Here are simple tools using its open-source skeleton.

In our latest blog post we compare the Pandas and Polars syntax for standard data-manipulation tasks.

Computing quantiles is surprisingly complicated. It gets much weirder when you use weights, and popular software behaves in surprising ways that might trouble you.

Causal inference from 1850

Curated news, articles and jobs related to Data Science, AI, & Machine Learning

Turning Smartphones into Earthquake Sensors: Thousands of mobile phone accelerometres provide data that enable a new step for high resolution shake-maps and safer cities – as a study based on a Citize...

Learn how to build a privacy-preserving Retrieval-Augmented Generation (RAG) workflow in R using Ollama and the ragnar package. Discover step-by-step methods for summarizing health insurance policy do...