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melanoma_analysis_project's Introduction

Melanoma_Analysis_Project

Background

  • Data looks into the effectiveness of melanoma treatment

  • The data consists of measurements made on patients with malignant melanoma.

  • Each patient had their tumour removed by surgery at the Department of Plastic Surgery, University Hospital of Odense,

  • Denmark during the period 1962 to 1977. The surgery consisted of complete removal of the tumour together with about 2.5cm of the surrounding skin.

  • Among the measurements taken were the tumour's thickness and whether it was ulcerated.

  • These are thought to be important prognostic variables in that patients with a thick and/or ulcerated tumour have an increased chance of death from melanoma.

  • Patients were followed until the end of 1977.

Research questions -Analysing factors contributing to life longevity after surviving the melanoma operation.

  • What is the average survival/duration for each status category?
  • Is there a difference in survival duration between males and females?
  • How does age correlate with survival time?
  • How does the year of operation relate to survival time?
  • What is the association between tumour thickness and survival time?
  • How does the presence or absence of ulcers affect survival duration?
  • Is there a correlation between the status of the patient and their sex?
  • How does the patient's status relate to the year of operation?
  • What is the connection between the patient's status and tumour thickness?
  • In what scenarios does the presence of ulcers coincide with patient survival?
  • How does age differ between males and females?
  • Is there a relationship between age and tumour thickness?
  • How does age relate to the presence of ulcers?
  • What is the correlation between the year of operation and tumour thickness?
  • How does the year of operation relate to the presence of ulcers?

Analysis Procedure The objective of the project was achieved through the analytical steps below:

  • Data importation
  • Data validation
  • Data Cleaning
  • Data Transformation
  • Univariate Analysis
  • Bivariate analysis
  • hypothesis testing
  • conclusion

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