Here's a chronological timeline of posts. I've added a ● for the posts that I think are a bit more neat or some to have had more visitors.

• The D-AI-LY: An Autonomous Statistical Digest

  6 Jan, 2026

  Replicating Statistics Canada's The Daily using Claude Code alongside dedicated tools and a skills-based harness.

• Census Monkey Typewriter Part 2: from single agent to multi-agent

  2 Aug, 2025

  Assembling my own autonomous data blogging team: quality and workflow improvements from moving to a multi-agent workflow

• A million monkeys doing data blogging - agentic social science with Claude Code and friends

  27 Jul, 2025

  An experiment in using LLMs to automate social science writing. Here's what I learned about LLM-assisted social science blogging.

• Spatially constrained clustering and regionalization

  7 Feb, 2021

  A step-by-step guide to creating spatially-contiguous socioeconomic clusters in R using the SKATER algorithm

• Will walk for food: exploring Singapore's hawker food density

  21 Jul, 2020

  How many hawker centres and stalls are a short walk away from me at any given location in Singapore? An interactive map, and a step-by-step guide of how it was made.

• What is the most 'normal' city in Canada?

  20 Dec, 2018

  Using Census data to find which Canadian city best represents the national demographic mix

• A look at the Vancouver mayoral race twitter picture

  30 Sep, 2018

  Using Twitter data and NLP tools to look at the timelines of the six most prominent candidates for Mayor of Vancouver

• The CANSIM package, Canadian tourism, and slopegraphs

  31 Jul, 2018

  A quick introduction to the cansim R package using an interesting dataset about Canadian domestic tourism trends

• Make better maps in R with vector tiles

  25 Jul, 2018

  Short tutorial for using and styling vector tiles in R for more flexibility with maps

• Mirror images: city similarity with t-SNE

  11 Jul, 2018

  Using machine learning to find similar cities across many dimensions.