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<div class="sc-jegwdG lhLRCf"><div class="sc-UEtKG dGqiYy sc-flttKd cguEtd"><div class="sc-fqwslf gsqkEc"><div class="sc-cBQMlg kAHhUk"><h2 class="sc-dcKlJK sc-cVttbi gqEuPW ksnHgj">About Dataset</h2></div></div></div><div class="sc-davvxH eCVTlP"><div class="sc-jCNfQM dTyvWO"><div style="min-height: 80px;"><div class="sc-etVRix jqYJaa sc-gVIFzB gQKGyV"><h3>Content</h3>
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<p>The period is over short time frame but it useful for hypothesis testing and statistical analysis. There are &gt;400 rows so is a great beginners dataset. </p>
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<h3>Background</h3>
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<p>This dataset consists of a group of breast cancer patients, who had surgery to remove their tumour. The dataset consists of the following variables:</p>
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<p><strong>Patient_ID:</strong> unique identifier id of a patient</p>
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<p><strong>Age:</strong> age at diagnosis (Years)</p>
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<p><strong>Gender:</strong> Male/Female</p>
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<p><strong>Protein1, Protein2, Protein3, Protein4:</strong> expression levels (undefined units)</p>
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<p><strong>Tumour_Stage:</strong> I, II, III</p>
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<p><strong>Histology:</strong> Infiltrating Ductal Carcinoma, Infiltrating Lobular Carcinoma, Mucinous Carcinoma</p>
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<p><strong>ER status:</strong> Positive/Negative</p>
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<p><strong>PR status:</strong> Positive/Negative</p>
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<p><strong>HER2 status:</strong> Positive/Negative</p>
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<p><strong>Surgery_type:</strong> Lumpectomy, Simple Mastectomy, Modified Radical Mastectomy, Other</p>
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<p><strong>Date_of_Surgery:</strong> Date on which surgery was performed (in DD-MON-YY)</p>
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<p><strong>Date_of_Last_Visit:</strong> Date of last visit (in DD-MON-YY) [can be null, in case the patient didn’t visited again after the surgery]</p>
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<p><strong>Patient_Status:</strong> 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].</p></div></div></div>