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Performing a Kaplan-Meier survival analysis on a dataset containing cancer patient information. The dataset includes details such as patient demographics, dates of diagnosis, treatment received, and outcomes.

• The dataset is loaded from a CSV file.
• The data is preprocessed accordingly.
• Kaplan-Meier survival analysis is performed in order to estimate the survival function for the dataset.
• Survival probabilities are calculated over time using the Kaplan-Meier estimator.
• The result is plotted including the censored subjects.

• Conducting subgroup analyses by stratifying the data based on most relevant attributes and calculate survival probabilities for each subgroup.

• Patient ID: Unique identifier for each patient, presented in a fancier format.
• Date of Birth: The date of birth of each patient.
• Age: The age of each patient at the time of diagnosis.
• Gender: The gender of each patient.
• Date of Diagnosis: The date when each patient was diagnosed with the medical condition.
• Date of Death: The date of death of each patient, if applicable.
• Date of Last Follow-Up: The date of the last follow-up for each patient.
• Date of Admission: The date of admission to the hospital, if applicable.
• Date of Discharge: The date of discharge from the hospital, if applicable.
• Disease Stage: The stage of the disease diagnosed in each patient.
• Treatment Received: The type of treatment received by each patient.
• Comorbidities: Any additional medical conditions present in each patient.
• Smoking Status: The smoking status of each patient.
• Family History: Any family history of the medical condition in each patient. -Vital Signs: The vital signs (e.g., blood pressure) recorded for each patient.