Transcript
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I spent this livestream building data visualizations for a California version of my 'by the numbers' county report, using Claude as an AI agent to write and revise the R code while I directed it through voice dictation and iterative feedback.
You'll learn:
- How to use an AI agent to generate and revise ggplot maps and charts by giving it reference images and iterative verbal instructions
- How to ask AI for visualization ideas before committing to one, then evaluate the options based on your audience
- A way to verify that AI-generated code is actually doing what you expect by reading through it and questioning specific calculations, like how state-level summary statistics are computed
- How to prompt AI to clean up its own code after the fact by asking it to review for duplication and centralize repeated values like color palettes
- How to use sub-agents to work on two tasks in parallel within a single AI session
Tools mentioned: Claude, Positron, Soulo, ggplot2, tigris, tidycensus, marquee, GT, renv, GitHub Copilot, GitHub Desktop, Raycast, Whisper Flow
Key moments:
- 00:56 Introduction to the Oregon by the Numbers project and today's goal
- 04:34 Overview of using Claude via the Soulo tool as an AI agent
- 06:13 Voice dictation prompt to create a state map for California
- 10:21 Map renders successfully using ggplot
- 11:05 Prompting Claude to build a county-level map highlighting Los Angeles County
- 23:11 Moving to median household income visualization
- 24:21 Asking Claude for chart ideas before deciding on an approach
- 32:10 Chart renders and David questions how state median is calculated
- 40:07 Adding highlighted text to the chart title using the marquee package
- 48:46 Using sub-agents to work on race ethnicity chart and population table simultaneously
- 01:00:00 Population table renders with GT
- 01:08:05 Asking Claude to review the full script for duplication and suggest improvements
- 01:14:05 Claude runs all plots to verify nothing broke after refactoring
