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Module 12 · Project 6 · Due the date on Canvas · Interactive Dashboards with Shiny · adaptive competency DV20

Make every control earn its place.

Build a reactive dashboard that answers a decision question, preserves denominators, protects small groups, and explains every change on screen.

What to do for Canvas Project 6

Work through Module 12 and save its required evidence and files.
Complete the associated workspaces: Module 10, Module 11, Module 12. Previously earned completion remains valid; additional work is optional review.
Open Project 6, check the packet status, and download Project_6_Canvas_Packet.zip. For Canvas, upload at least one artifact from your work or a screenshot of your grade. The full ZIP is optional. A download is not a Canvas submission. Submit by the date on Canvas, only if you have not already submitted.

QuantegyAI feedback does not submit to Canvas. Module numbers, evidence identifiers, and Canvas weekly resource numbers are distinct.

9module steps

4interactive builds

1Shiny defense

65+minutes

Mission progress0%

Begin by defining a KPI that can be reproduced.

Begin Shiny mission

By the end of this module, you will be able to

Define the decision question a dashboard must answer before choosing any tile.
Explain reactivity: which inputs update which outputs, and when.
Filter without hiding: keep denominators visible and protect small groups.
Build a Shiny dashboard whose every on-screen change explains itself.
Audit AI dashboard suggestions for metric integrity.
Apply all of this to Project 6: your DV20 Shiny Evidence Studio, due the date on Canvas.

Your evidence map

DV20

0 XP

DV20Define reproducible KPIsReady to begin

DV20Trace reactive dependenciesLocked

DV20Design safe filter statesLocked

DV20Debug a Shiny appLocked

DV20Verify outputs in RLocked

DV20Defend dashboard decisionsLocked

Student learning outcomes

By the end of Module 12, students can…

Define dashboard KPIs with an explicit numerator, denominator, window, and exclusion rule.
Map a Shiny app’s reactive dependency graph from inputs through reactive expressions to outputs.
Compute pooled rates from summed counts and explain why averaging percentages answers a different question.
Test filter states for empty data, unstable denominators, and small-cell disclosure — and apply suppression rules.
Debug reactive code and verify every displayed value from source counts in R.

Module 12 step by step

Each step below is its own short page, so nothing runs on for screens at a time. Work through them in order — your progress is saved as you go, and the numbered bar at the top of every page jumps straight to any step.