Cancer Risk Dataset

Variables:

1. ID: A unique identifier for each individual record.
2. Smoking Habit: Classified as Heavy, Moderate, Occasional, or None based on smoking frequency.
3. Alcohol Consumption: Categorized as High, Moderate, Low, or None based on alcohol intake.
4. Physical Activity (Biking): Measured as High, Medium, Low based on biking frequency.
5. Physical Activity (Walking): Measured as High, Medium, Low based on walking frequency.
6. Physical Activity (Jogging): Measured as High, Medium, Low based on jogging frequency.
7. Dietary Habits: Frequency of consuming a balanced diet (e.g., daily, occasionally, rarely).
8. Sleep Quality: Hours of sleep per night, categorized as Optimal (7-8 hrs), Suboptimal (5-6 hrs), and Poor (<5 hrs).
9. Workplace Stress Level: Stress at work categorized as High, Medium, or Low.

Assumptions:

This dataset assumes a relationship between lifestyle choices, genetic, and environmental factors with cancer risk. It simplifies cancer risk probabilities, recognizing that genetics, environment, and lifestyle interplay in complex ways.

Potential Applications:

1. Predictive Modeling: Build models to predict cancer likelihood.
2. Exploratory Research: Explore lifestyle habits’ role in cancer risk.
3. Public Health Research: Influence campaigns on cancer prevention.