Prompting GPT-4 for On-The-Fly Multi-Visualization Dashboards
Last Updated on November 20, 2023 by Editorial Team
Author(s): John Loewen, PhD
Originally published on Towards AI.
A zero-code map-and-charts dashboard for global literacy data
Dall-E 2 generated choropleth map image
Recently, GPT-4 has gone through a positive overhaul of its data visualization capabilities.
The new power of this update is the simplicity of creating data visualizations from complex datasets on-the-fly using basic prompt engineering.
For example, from CSV to multi-visual dashboards — with absolutely no coding.
Yep, none.
Let’s go through a case study on creating a dashboard containing a global map, bar chart, and box-plot to visualize global literacy rates.
The foundation of any data analysis is a thorough understanding of the dataset you are analyzing.
Our focus here is a dataset encompassing global literacy rates, which includes country names,… Read the full blog for free on Medium.
Join thousands of data leaders on the AI newsletter. Join over 80,000 subscribers and keep up to date with the latest developments in AI. From research to projects and ideas. If you are building an AI startup, an AI-related product, or a service, we invite you to consider becoming a sponsor.
Published via Towards AI
Towards AI Academy
We Build Enterprise-Grade AI. We'll Teach You to Master It Too.
15 engineers. 100,000+ students. Towards AI Academy teaches what actually survives production.
Start free — no commitment:
→ 6-Day Agentic AI Engineering Email Guide — one practical lesson per day
→ Agents Architecture Cheatsheet — 3 years of architecture decisions in 6 pages
Our courses:
→ AI Engineering Certification — 90+ lessons from project selection to deployed product. The most comprehensive practical LLM course out there.
→ Agent Engineering Course — Hands on with production agent architectures, memory, routing, and eval frameworks — built from real enterprise engagements.
→ AI for Work — Understand, evaluate, and apply AI for complex work tasks.
Note: Article content contains the views of the contributing authors and not Towards AI.