Screenshot of the Pokémon Dashboard

Public

Plotly in production (Pokémon Dashboard)

An interactive dashboard built with Python + Plotly to explore and compare data—practical lessons on performance, UX, and shipping without writing JavaScript.

Stack

Python · Plotly · Dash · Deploy

Artifacts

Public demo / repo

Context

Many teams want web interactivity without a full frontend stack. Plotly (and Dash) gets you there quickly in Python.

This case summarizes real patterns and trade-offs using a dashboard as an end-to-end product: data, figures, UI, and deployment.

Decisions

  • Layered architecture: load → compute → make_figures to keep code readable and testable.
  • Compact controls and views: enough to explore without turning into an “infinite dashboard”.
  • Performance: pre-aggregation and layout reuse to avoid recomputing everything on every interaction.

Architecture

Architecture diagram for the Pokémon Dashboard
Simple separation: data → logic → figures → Dash/Plotly app.
  • Plotly Express for fast iteration; graph_objects when you need fine control.
  • Export/share as an artifact (HTML or repo) to make distribution frictionless.

Outcome

  • A reproducible repo that doubles as a template for future dashboards.
  • A clear checklist of limits (large data, extreme customization) and mitigations.
  • Transferable practices: visual consistency, empty states, and basic accessibility.

Links