Exploratory Data analysis using Python
EDA on Breast Cancer Survival
The dataset contains cases from a study that was conducted between 1958 and 1970 at the University of Chicago's Billings Hospital on the survival of patients who had undergone surgery for breast cancer.
Objective
To analyse and find out the possibility of patients who will survive beyond 5 years after surgery based on the attributes like Age, Operation Year and Axillary nodes
Dataset Information
- Study that was conducted between 1958 and 1970
- Conducted at the University of Chicago's Billings Hospital
- Survival rate of patients who had undergone surgery for breast cancer.
- Patient entries count is 306
Exploratory Data Analysis
Based on our analysis, we came up with below observations.
Questions
- What is the overall survival rates?
- Which year has the maximum number of surgeries?
- Which year has lowest success rate in surgeries?
- Does the age factor decide the survival chance?
- Does the axillary nodes decide the survival chance?
- Which age group has high Survival rate?
- What % of Short survival patients having zero nodes?
Supported Files
Refer this below notebook for more informationPython Notebook
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