Using Dash to Create Interactive Web Apps for Non-Technical Audiences
summary
Built an interactive Dash app that reads load‑cell data from an Arizona Vortex tripod, shows real-time plotting of channels, records event logging, and generates post‑test Plotly graphs with max‑value summaries. Code uses Python, Dash (Flask/React/plotly.js), numpy/pandas and a DAQ; styling and callbacks are cleaned up and the app works well enough to hand to firefighters. Planned additions include sensor calibration and wireless logging (Arduino).
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chapters (14)
- 0:00Start
- 4:13Casual Programming Background
- 5:41Background and Motivation
- 7:05The Arizona Vortex
- 9:43Dash App Gallery
- 13:18Parts To Dash Code
- 15:34Initial Objectives
- 17:35Event Logging
- 18:42Demo of the Dashboard in Action
- 21:59Upcoming Improvements
- 22:32Sensor Calibration
- 24:49Take Clear Notes
- 28:40Is It Possible To Embed a Dash App within an Existing Website or Does It Have To Run Standalone
- 29:08Use of the the Dash App in Real Time
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