Blog
Notes, tutorials, and workshop materials on R programming, data wrangling, and spatial data analysis.
-
Applied AI (02): Claude Code for EDA on Microdata
Second episode of the Applied AI series — turning Claude Code into a local agent over your data to run exploratory analysis and descriptives on confidential microdata, with research-grade rigor.
-
Applied AI (01): LLMs from the Next Token
First episode of the Applied AI series — what a language model actually is, what it is made of, and how it decides, because everything starts with predicting the next token.
-
Introduction to Deepseek in R
Hands-on guide to installing and running large language models locally using Ollama, with practical steps for deploying LLMs on your own machine.
-
Clonar Repositorios de GIT desde RStudio
Step-by-step guide on cloning GitHub or GitLab repositories directly from RStudio, including Git setup and project management tips.
-
Tidy Data in R
Principles of tidy data in R, emphasizing standardized data structure for efficient analysis using the tidyverse framework.