In this hands-on workshop, you’ll go from zero to a live data visualization using only natural-language prompts (plus a dash of copy-&-paste). Turn raw data into a compelling narrative—all by chatting with an LLM.
No coding knowledge is required (but it’ll help a lot.)
No API key required but you’re welcome to bring your own.
This will be an end-to-end workflow that designers, developers and data enthusiasts can follow verbatim.
What we’ll cover
- Prompt engineering for analysis and chart code
- Iterative refinement, so your axes, labels and colors actually make sense
- Conversational debugging: when the output isn’t quite right, ask the LLM to fix it
- Deploy in minutes: publish without writing a CI script
- Advanced hacks: embed your chart in a blog, automate periodic updates
Takeaways
- A fully functioning, deployed visualization you can share immediately
- A “prompt recipe” library for future charts and dashboards
- Best practices for designer–developer collaboration via LLMs
- Confidence in using LLMs as a reliable coding partner
Anand is an LLM psychologist at Straive. (It’s not an official title. He just calls himself that.) He co-founded Gramener, a data science company that narrates visual data stories, which Straive acquired. He has hand-transcribed every Calvin & Hobbes strip ever and dreams of watching every film on the IMDb Top 250.
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