BreastCancer: Wisconsin Breast Cancer Data

In sbalci/ClinicoPathJamoviModule: Analysis for Clinicopathological Research

Wisconsin Breast Cancer Data

Description

A dataset containing clinical measurements related to breast cancer cells, originally from the UCI Machine Learning Repository. It is often used for classification tasks.

Usage

data(BreastCancer)

Format

A data frame with 699 rows and 11 variables:

Id

Numeric. Sample code number.

Cl.thickness

Numeric. Clump thickness (1-10).

Cell.size

Numeric. Uniformity of cell size (1-10).

Cell.shape

Numeric. Uniformity of cell shape (1-10).

Marg.adhesion

Numeric. Marginal adhesion (1-10).

Epith.c.size

Numeric. Single epithelial cell size (1-10).

Bare.nuclei

Numeric. Bare nuclei (1-10). Note: contains NAs in original dataset, may be preprocessed here.

Bl.cromatin

Numeric. Bland chromatin (1-10).

Normal.nucleoli

Numeric. Normal nucleoli (1-10).

Mitoses

Numeric. Mitoses (1-10).

Class

Character. Class of the tumor ("benign" or "malignant").

Source

Dr. W. H. Wolberg, University of Wisconsin Hospitals

Examples

data(BreastCancer)
str(BreastCancer)
head(BreastCancer)
summary(BreastCancer$Cl.thickness)
table(BreastCancer$Class)

sbalci/ClinicoPathJamoviModule documentation built on June 13, 2025, 9:34 a.m.