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As a follow-up to our TestStand ETL, we develop an interactive dashboard using Shiny-R to uncover process trends and statistical control metrics.

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ahmedlrashed/teststand-kpi-dashboard

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Teststand Data Dashboard

Goal

Build a lite dashboard app for Test engineers and Mfg managers to uncover process trends and statistical control metrics.

Background

After using our TestStand Database Utility to extract .mdb files to component .csv files, we now need a user-friendly app to browse the data and quickly identify trends in production.

Methodology

1-extract-data.R

One.

2-load-data.R

Two.

3-transform-data.R

Three.

4-analyze-data.R

Four.

5-export-data.R

Five.

Results

TBD.

Dependencies

NOTE: Execute this script only for first call to initialize environment

This list of commands in located in the 0-config.R file.

install.packages("shiny")

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As a follow-up to our TestStand ETL, we develop an interactive dashboard using Shiny-R to uncover process trends and statistical control metrics.

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