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Sharing an older project; I built a simple analysis dashboard using HTML, CSS, and Plotly.
This was done for an AI data training project, using mock data to explore dashboard layout, interactive charts, and basic analysis flow.
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Students Learning performance, engagement, and outcomes to be structured around real decision-makin and learning progression.
To ensure the structure supports how decisions are actually made.
For Velarius Consulting, I explored two dashboard directions.
Same data. Different hierarchy.
Testing how structure changes clarity, scanning speed, and action flow.
• The focus?
Clear grouping.
Stronger visual priority.
More intentional quick actions.
Reduced visual competition between sections.
Dashboards aren’t about showing everything.
They’re about guiding attention to what matters first.
• What I’m validating?
Which layout makes decisions feel faster and more confident at a glance.
Still early — but structure > styling.
PS: The color usage was part of the requirement.
Love this exploration. Same data rarely means same decisions — structure fundamentally shapes interpretation and behavior.
AI Strategy & Simulation Dashboard for PathFwd
Very clean dashboard. The information hierarchy feels well balanced — lots of data, yet it doesn’t feel heavy. Strong UX decisions here 👌
Most dashboards fail before they are even built.
Not because of bad charts.
Not because of wrong formulas.
Because the data underneath is structurally broken.
Here’s what I see often in small businesses:
• Dates stored as text
• Multiple columns for the same metric
• Inconsistent naming (Revenue / Sales / Total Sales)
• Manual copy-paste every week
• No clear data flow
Then they ask:
“Why doesn’t this dashboard update properly?”
A dashboard is just a mirror.
If the data structure is messy, the reflection will be distorted.
Before I build any report, I focus on 3 things:
Standardized column logic
Single source of truth
Repeatable data flow (no manual dependency)
Clean structure → Reliable metrics → Better decisions.
If your reporting feels fragile, the issue usually isn’t Excel.
It’s the foundation.
Completely agree. Dashboards amplify whatever foundation they sit on — messy data → misleading clarity. Standardization and single source of truth are massively underrated.
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