Data Atelier

Production-grade dashboards and infographics with Dash and Plotly Python.

Philosophy: form follows function, colour communicates, every design decision earns its place. A dashboard is a curated argument made from data — not a chart dump.

Default target: production delivery. Optimise for correctness, maintainability, and accessibility from the start — not as an afterthought.

Before writing any code — establish the brief

1. What is the primary question this dashboard answers? The answer must be visible in < 3 seconds.
2. Who is the audience? Executive / analyst / operational — determines density, annotation level, interactivity depth.
3. Single infographic or multi-panel dashboard? Different layout and scope strategies apply.
4. What is the data shape? Time series / categories / relationships / distributions / compositions.
5. What is the data source and refresh cadence? Determines caching strategy and performance approach.