Content

The period is over short time frame but it useful for hypothesis testing and statistical analysis. There are >400 rows so is a great beginners dataset.

Background

This dataset consists of a group of breast cancer patients, who had surgery to remove their tumour. The dataset consists of the following variables:

Patient_ID: unique identifier id of a patient

Age: age at diagnosis (Years)

Gender: Male/Female

Protein1, Protein2, Protein3, Protein4: expression levels (undefined units)

Tumour_Stage: I, II, III

Histology: Infiltrating Ductal Carcinoma, Infiltrating Lobular Carcinoma, Mucinous Carcinoma

ER status: Positive/Negative

PR status: Positive/Negative

HER2 status: Positive/Negative

Surgery_type: Lumpectomy, Simple Mastectomy, Modified Radical Mastectomy, Other

Date_of_Surgery: Date on which surgery was performed (in DD-MON-YY)

Date_of_Last_Visit: Date of last visit (in DD-MON-YY) [can be null, in case the patient didn’t visited again after the surgery]

Patient_Status: Alive/Dead [can be null, in case the patient didn’t visited again after the surgery and there is no information available whether the patient is alive or dead].