Interactive Scatter Plot with Dash: Dropdown Filtering Guide
Create a Plotly Dash app that lets users filter a scatter plot via a dropdown. Follow our step‑by‑step guide, checklists, and recovery tips to build, debug, and deploy the app.
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Create a Plotly Dash app that lets users filter a scatter plot via a dropdown. Follow our step‑by‑step guide, checklists, and recovery tips to build, debug, and deploy the app.
Plotly ships every figure as JSON to the browser, so the real architecture decision for large-data dashboards is where the rendering boundary sits. This note covers the smallest server-side aggregation design, trust boundaries, caching, operational checks, and failure modes.
Migration context A small application currently renders interactive charts client-side with Plotly.js. The goal is to migrate to Python Dash, which wraps Plotly.js through its dcc.Graph component, without taking the application offline. The plan is a gradual rollout where some views are served by Dash callbacks while others still use the existing JavaScript