Data & Analytics
Astraea Atlas
An exploratory interface for making the NASA Exoplanet Archive easier to enter without inventing significance where the data is incomplete.
2026 / Data & Analytics / Next.js / TypeScript / Data visualisation / NASA Exoplanet Archive
Quick read
A clear breakdown of the product, the reasoning behind it, and the implementation choices that matter.
- Year
- 2026
- Category
- Data & Analytics
- Status
- Interaction study
Archive exploration
Explore the catalogue without losing the source context.
This is a sampled archive view, not a live catalogue. Change the colour field, rotate the globe, and select a world to inspect how the interface makes dense data easier to enter.
Selected world
Kepler-10 b
Kepler-10 / Transit
Overview
Astraea Atlas is an interaction study built around the NASA Exoplanet Archive. It translates a dense catalogue into a calmer visual field while keeping source data, uncertainty, and the limits of interpretation visible.
Why it exists
Scientific catalogues are often rich but difficult to feel. Rows, columns, and abbreviations make the data technically available without making it easy to explore.
How it works
Astraea Atlas uses a focused visual language and direct data labels to make a small part of the catalogue more approachable, without assigning invented scores or overclaiming what a visual treatment can mean.
Built with
Next.js / TypeScript / Data visualisation / NASA Exoplanet Archive
What I focused on
- Designed a visual exploration layer for discovery year, detection method, and planet radius.
- Kept source context and data limitations visible in the interaction.
- Used progressive exploration rather than a dense dashboard of every available field.
A data interface without invented certainty
The project is deliberately careful about what it can say. It can surface recorded properties such as discovery year, detection method, radius, mass, and coordinates where available. It does not turn those fields into a claim that one world is more important, habitable, or promising than another.