Why this matters

Public health teams generate substantial data — disease surveillance, immunisation rates, environmental monitoring, community health assessments — but translating that data into clear, shareable visuals often requires specialist tools or dedicated data analysts. AI changes that significantly.

By uploading your data and describing what you need, you can have an interactive dashboard — with charts, filters, and summary statistics — produced in minutes. No coding in R or use of Power BI. No specialist training. No waiting for a data analyst.

Which AI tool to use

🤖 Claude Cowork

Can read files from your working folder, build interactive HTML dashboards, and save them directly. Best for ongoing dashboard work you want to update regularly.

💬 ChatGPT / Codex

Strong at data analysis. Upload a CSV or spreadsheet, describe the chart you want, and Codex produces it. Good for one-off analysis and quick visual summaries.

✨ Gemini

Works with Google Sheets natively. If your data is already in Sheets, Gemini can summarise it, produce charts, and insert them into a Google Slides presentation.

How to get started

1

Prepare your data

Your data needs to be in a readable format — a spreadsheet (.xlsx or .csv) or a copy-pasted table. It does not need to be perfectly clean; the AI can handle some messiness and will flag anything it cannot interpret. Always keep an original copy in a folder that cannot be accessed by the AI platform in case you need to refer to it later.

2

Upload the file and describe what you need

Attach your file to the conversation and type a clear description. Example:

"I have attached a CSV file with weekly reported cases of influenza by district for the past 12 months. Please create an interactive HTML dashboard that shows: (1) a line chart of cases over time by district, (2) a bar chart comparing total cases per district, and (3) a summary table with key statistics. It should be openable in any browser and look professional."
3

Review and refine

The AI will produce a dashboard file. Open it in your browser to see how it looks. If something needs changing — different colours, a new chart type, extra filters — just ask: "Please add a dropdown filter by age group" or "Change the chart to show a 4-week rolling average."

4

Share or publish

The output is a self-contained HTML file — it works in any browser without an internet connection or special software. You can email it as an attachment, share it via your intranet, or host it on a website.

Check the repository for ready-made dashboard templates for common public health datasets — disease surveillance, immunisation coverage, maternal and child health indicators.
Always double check that the output matches the data sources.