Use of AI in Modern Dataviz
summary
Demonstrates a prototype Highcharts Editor that uses the OpenAI API with a function-calling router to dispatch queries to three agents (data processing, visualization, fallback) and shows a Node.js demo that generates Highcharts config, renders a chart, and performs deterministic transformations like filtering and sorting. Addresses concrete tradeoffs: accuracy, latency, cost and privacy, and recommends sending metadata (column stats and samples) instead of full datasets to cut hallucinations and third‑party costs.
AI-written summary · about
chapters (9)
- 0:00Introduction to AI in dataviz
- 3:58The dataviz process
- 5:48AI in data gathering
- 7:34Insights and innovation labs
- 10:43Addressing AI challenges
- 12:48Best practices for LLMs
- 18:03Live coding demonstration
- 34:00Building and design
- 36:27Accessibility and conclusion
related talks
29mMaking AI better with React feat
46mBuilding AI-enhanced User Interfaces for the Web
12mThis Is Not a Story About AI Replacing Libraries
09mAI for React Developers: Opportunities, Learning, and Innovation
15mThe Future of Data Visualization on the Web
28mCreating fluent Frontend Experiences in an age of AI
42mInteractive Data Analysis: Visualization and Beyond
01h 28mAI Coding Agents and How to Code Them