Data and Statistical Programming


Short introduction

My name is Mauricio “Pachá” Vargas Sepúlveda. I love working with data and statistical programming, and I am constantly learning new skills and tooling in my spare time. I work mostly in R due to its huge number of libraries and emphasis on reproducible analysis.

I use innovative data-driven methods, analytics, and advanced visualization techniques to transform public data into stories. This includes innovative ways of communicating and analyzing key issues (e.g. economy, education, household and living, demography, health and civics).

I’ve collaborated with diverse teams that deploy solutions to identify meaningful insights. Amongst other projects I was in charge of data curation at DataChile and I’ve contributed to The Observatory of Economic Complexity with an entrepreneurial mindset and creativity to optimise a data pipeline.

Experience and qualifications

  • Experience with data parsing, wrangling, management
  • Experience applying data visualization and advanced analytics tools in a business/media setting
  • Fluency with modeling in R
  • Proficiency in Shiny and also modern web technologies (HTML, React, Canon and D3plus)
  • Familiarity with Unix command line and shell scripting
  • Familiarity with SQL
  • Programming and problem solving skills
  • Organizational and communication skills
  • Ability to balance multiple priorities, communicate goals and build consensus to work effectively
  • Ability to build and maintain ties with people from NGOs and public offices that create datasets



DataChile integrates and visualizes data from more than a dozen different public sources and features a unified API. My role at this project was much more than import, tidy and transform data. I also had to interact with civil servants to obtain authorizations to access datasets, ask them for feedback and lead the discussion about what data to use and how to visualize it. The project belongs to the chilean government and can be accessed at

The Observatory of Economic Complexity

The OEC makes mor than fifty years of international trade data easily accesible throught a unified API and interactive visualizations. I have curated all the datasets for the period 1990-2016 and I created an R package that acts as API wrapper to ease data extraction. The project belongs to MIT Media Lab and can be accessed at

The Hitchhikers Guide to Ggplot2

This is my first book in collaboration with my friend Jodie Burchell. This book is intended for people who start to use R and explores data visualization principles.

729 Measures of Economic Complexity

I created this Shiny dashboard that computes Economic Complexity measures and linear regressions. This is based on an article titled alike.

Second CRAN Mirror for Chile

I maintain a CRAN mirror that has helped chilean R users including students, professors and people who work in an industry setting. This mirror is hosted at the University of Chile and can be accessed at