Dataset: Iris Dataset
Author: FARANGIZ ABDUL
Student ID: 2307075125
Date: 2026-01-14
The Iris dataset is a classic multivariate dataset commonly used in statistics and data visualization. It contains 150 observations of iris flowers from three different species: setosa, versicolor, and virginica.
For each flower, four numerical measurements are recorded: sepal length, sepal width, petal length, and petal width (all in centimeters). The dataset is well-suited for exploratory data analysis and visualization, as it includes both numerical and categorical variables.
Rows: 150
Columns: 5
$ Sepal.Length <dbl> 5.1, 4.9, 4.7, 4.6, 5.0, 5.4, 4.6, 5.0, 4.4, 4.9, 5.4, 4.…
$ Sepal.Width <dbl> 3.5, 3.0, 3.2, 3.1, 3.6, 3.9, 3.4, 3.4, 2.9, 3.1, 3.7, 3.…
$ Petal.Length <dbl> 1.4, 1.4, 1.3, 1.5, 1.4, 1.7, 1.4, 1.5, 1.4, 1.5, 1.5, 1.…
$ Petal.Width <dbl> 0.2, 0.2, 0.2, 0.2, 0.2, 0.4, 0.3, 0.2, 0.2, 0.1, 0.2, 0.…
$ Species <fct> setosa, setosa, setosa, setosa, setosa, setosa, setosa, s…
This histogram shows the distribution of sepal length values in the Iris dataset.
This boxplot compares petal length across different Iris species.