The Iris dataset is a classic in machine learning, containing 150 samples of iris flowers with 4 features (sepal length, sepal width, petal length, petal width) and 3 classes (Setosa, Versicolor, Virginica). Here’s how to visualize it effectively:

📊 Key Visualization Techniques

  • Scatter Plot
    iris_scatter_plot
    Plot features against each other to observe class separation.
  • Pair Plot
    iris_pair_plot
    A matrix of scatter plots showing pairwise relationships.
  • Heatmap
    iris_heatmap
    Highlight correlations between features using color gradients.

🧪 Example Code (Python)

import seaborn as sns
sns.set(style="ticks")
iris = sns.load_dataset("iris")
sns.pairplot(iris, hue="species")

Run this code to generate interactive visualizations.

📚 Extend Your Knowledge

Let me know if you need help with specific visualizations! 📈