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Iris Dataset Visualization

R / Data Visualization 2025

A comprehensive Iris dataset analysis in R. Includes cleaning, outlier removal, histograms, scatterplots, regression, correlation analysis, and hypothesis testing.

Iris Histograms Scatterplots by Species Linear Regression Visualization

🎯 What I Learned

  • Cleaned and normalized the Iris dataset
  • Detected and removed outliers
  • Built visualizations with ggplot2
  • Performed correlation, regression, and hypothesis testing

🛠 Tech Stack

  • R, dplyr, ggplot2
  • datasets (Iris)

📌 Evaluation / Next Step

The analysis confirmed expected relationships within the Iris dataset. Visualizations clearly separate Setosa from Virginica/Versicolor, and regression showed linear trends between Petal and Sepal. Next steps include applying this workflow to more complex datasets, adding clustering, or exploring classification models.

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