How to Explore Features using Correlation

<p><strong>How to Explore Features using Correlation</strong></p><p>Starting with the <strong>Iris dataset</strong>, this workflow calculates how strongly the numeric features are related to each other using several approaches: <strong>Linear correlation</strong> (measuring straight-line relationships), <strong>Spearman's rho</strong> and <strong>Kendall's tau</strong> (both for ranked or non-linear relationships), and <strong>Goodman and Kruskal's gamma</strong> (for ordinal data). This lets you see how different correlation methods might reveal different patterns in your data.</p>