Insights into Breast Cancer: Understanding through Exploratory Data Analysis
Project information
- Category: Exploratory Data Analysis
- Industry: Healthcare
- Data/Study based on: Kaggle Dataset Link
- Project date: 24 June, 2025
- Project URL: Github Link
- Skills: Python | Exploratory Data Analysis | Domain Research | Data Cleaning & Processing | Feature Selection
Unveiled critical insights into breast cancer progression, emphasizing the life-saving impact of early detection and tailored treatment strategies.
Conducted an in-depth analysis of breast cancer data, identifying peak patient age (45-65) and highest survival rates in T1 tumor stages.
Uncovered key correlations, such as a strong relationship between the number of lymph nodes examined and affected, with undifferentiated tumors showing the highest mortality rate (153/1000).
Additionally, emphasized the importance of early diagnosis by demonstrating significantly improved survival rates in well-differentiated tumors and T1 stages, highlighting critical factors influencing patient outcomes. These insights provide a foundation for refining screening protocols and prioritizing targeted treatment strategies, enhancing prognosis and care delivery in oncology.