### 2.1 Integration Assessment The Iris dataset exists as a single, self-contained table with 150 botanical observations, requiring no internal joins or relationship management. This flat structure reflects its origin as a reference dataset for morphological classification rather than an operational system. Integration opportunities center on enriching these 150 specimens with external botanical, geographic, or environmental data sources that could expand analytical scope beyond the current morphological measurements. ### 2.2 Recommended Actions - **Link to taxonomic reference data** to add hierarchical botanical classification (family, order) and enable comparative analysis across related species beyond the three iris varieties currently captured - **Append geographic origin metadata** for each specimen to support habitat-based segmentation and explore correlations between morphology and native growing conditions - **Integrate environmental variables** (soil pH, climate zone, elevation) to test hypotheses about how external factors influence the sepal and petal dimensions measured in the existing table - **Connect to image repositories** of iris specimens to enable visual validation of classification patterns and support machine learning workflows that combine morphological and visual features