9.9.3: Hands-On Lab Exercise

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Page ID: 58331

Felix Amoruwa
De Anza College

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Hands-On Lab Exercise

Lab: Dashboard Design and Data Storytelling

Scenario:

CityHealth is a public health agency. You have a dataset: disease_type, reported_cases, deaths, county, date, age_group, vaccination_rate, hospital_capacity_pct.

Instructions:

Dashboard Layout (25 min): Design a dashboard for CityHealth's director showing: disease surveillance overview, geographic hotspots, trends over time, hospital capacity status, and vaccination progress. Sketch the layout with specific chart types for each section. Apply visual hierarchy — what's most prominent?
Advanced Chart Selection (15 min): For each scenario, choose the best advanced chart type and justify: (a) Showing how total cases split across age groups and then by disease type (hierarchy). (b) Comparing hospital performance across 6 metrics. (c) Tracing patient flow from ER admission through diagnosis, treatment, and discharge/death.
Interactive Features (15 min): Specify what interactive features your dashboard needs: which filters, what drill-down paths, where cross-filtering applies, and what tooltips show. Apply Shneiderman's mantra.
Real-Time Considerations (15 min): The director wants real-time updates during a disease outbreak. What changes to dashboard design, data pipeline, and performance optimization are needed?
Data Story Presentation (20 min): Write a 5-slide outline for presenting this dashboard's key findings to the City Council (non-technical audience). Structure: setup/context → key finding #1 → key finding #2 → implications → recommended actions.

Deliverables:

Dashboard layout sketch with chart types, advanced chart selection justifications, interactive feature specification, real-time design document, 5-slide story outline.

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