Power BI · Visual Analytics

Iris Species Classification

Interactive analytical report focused on species-level morphology patterns from the Iris dataset. The project demonstrates how exploratory visuals can support classification understanding and communicate model-ready insights to non-technical audiences.

Dataset

Iris dataset with petal and sepal measurements across three species.

Core Stack

Power BI, DAX, visual storytelling, comparative morphology views.

Main Goal

Identify how feature distributions separate species clusters.

Delivery

Compact dashboard for teaching, exploration, and quick species analysis.

Analytical Focus

Compared feature ranges to detect natural boundaries between species groups.
Evaluated overlap risk in pairwise relationships across petal and sepal variables.
Designed visuals to highlight interpretable decision regions for classification tasks.

Dashboard Screens

Iris exploratory dashboard with distributions by species — Exploratory analysis of feature distributions by class.

Comparative morphology chart for iris species — Comparative morphology view to evaluate class separability.

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