Using Dash to Create Interactive Web Apps for Non-Technical Audiences

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" summary

Built a Dash app (on Flask Plotly.js React) that reads load‑cell data from an existing DAQ, streams real‑time plots at configurable sample rates, and saves per‑test files for later review. Interface includes setup tab with channel naming and background zeroing, real‑time plotting tab with adjustable sampling and update rate, and a post‑test plot tab plus planned calibration and event‑marker tools. Prototype handles input validation, toggling sign for compression vs tension, and currently trades off plot update frequency versus readability; core system is written in Python and deployable as a simple web service.

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" chapters (7)

1. 0:00Start
2. 3:28Outline Background & Motivation
3. 5:14Various Configurations Ram's Head
4. 9:15Overview of Dash
5. 14:06Initial Objectives Read data to a file
6. 20:56Develop Clear Objectives from the Start
7. 23:14Treat it as a Learning Experience

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