Hi Tableau Community,  

I'm a graduate student in a Data Visualization for Analytics course and I've built an integrated three-panel dashboard analyzing 98,619 airline passenger records from 2022. I'd love your feedback on the design and   

storytelling clarity before I finalize my submission.  

📊 Dashboard Link:   

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🔍 What the dashboard shows:  

- Panel 1 (Top): Average passenger age trends across 6 continents over 12 months — small multiples with per-continent reference lines  

- Panel 2 (Bottom Left): Flight disruption rate (cancelled + delayed) by age band and continent — heat map  

- Panel 3 (Bottom Right): Top underrepresented nationalities by passenger demand vs. network supply gap-ranked bar chart  

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❓ My specific feedback questions for

:  

1. Does the left-to-right / top-to-bottom story flow clearly communicate the narrative: "Who flies → How reliably → Where gaps exist"?  

2. Is the heat map (Panel 2) intuitive? Does darker blue = higher disruption read clearly without additional explanation?  

3. In Panel 3, the color encodes Representation Ratio (blue = most underserved, orange = less severe). Is this dual encoding of bar length (volume) + color (severity) clear or confusing?  

4. Are there any labeling, layout, or annotation changes that would improve readability?  

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Context:  

- Tool: Tableau Desktop, published to Tableau Public  

- Dataset: Kaggle Airline Dataset (98,619 rows, 2022)  

- This extends my Assignment 1 dashboard — original viz here for reference:

Thank you in advance for your time and expertise!