Purpose: The dataset is designed to explore the potential relationship between lifestyle habits and the probability of developing cancer.
Variables:
Sr No.: A unique identifier for each observation.
Smoking Habit: Categorizes individuals based on their smoking frequency (e.g., Heavy, Moderate, Occasional, None).
Drinking Habit: Categorizes individuals based on their alcohol consumption frequency (e.g., Frequent, Occasional, None).
Biking Habit: Measures the frequency of biking activity (e.g., High, Medium, Low).
Walking Habit: Measures the frequency of walking activity (e.g., High, Medium, Low).
Jogging Habit: Measures the frequency of jogging activity (e.g., High, Medium, Low).
Probability of Cancer: A numerical value representing the estimated likelihood of developing cancer, ranging from 0 to 1.
Assumptions:
The dataset assumes a causal relationship between lifestyle habits and cancer risk. However, correlation does not necessarily imply causation, and other factors may influence cancer development.
The probability of cancer is a simplified representation and may vary based on individual factors, genetics, and environmental influences.
Potential Use Cases:
Exploratory Analysis: To identify potential correlations between lifestyle habits and cancer risk.
Predictive Modeling: To build models that predict the probability of cancer based on lifestyle factors.
Public Health Initiatives: To inform public health campaigns and interventions aimed at promoting healthy lifestyles and reducing cancer risk.