pages/2 Data Understanding.py

import streamlit as st

# Page Title
st.title("📊 Data Collection & Understanding")

# Data Collection Section
st.markdown("""
### 📥 Data Collection:
The dataset used in this project was collected from a student mental health survey, containing information on academic, psychological, and lifestyle factors that influence mental well-being.

#### Dataset Features:
- **Gender**: Male/Female  
- **Age**: Age of the student  
- **Academic Pressure**: Stress level due to academic workload  
- **Study Satisfaction**: Self-reported satisfaction with study experience  
- **Sleep Duration**: Average daily sleep duration  
- **Dietary Habits**: Quality of diet (Balanced or Unbalanced)  
- **Financial Stress**: Stress level due to financial issues  
- **CGPA**: Academic performance  
- **Depression**: 🎯 Target variable indicating depression status (Yes/No)
""")

# Key Understanding Section
st.markdown("""
### 📚 Key Understanding:
- **Data Type**: Combination of numerical (e.g., Age, CGPA) and categorical variables (e.g., Gender, Sleep Duration).  
- **Data Cleaning**: Columns such as `Profession`, `City`, and `Job Satisfaction` were dropped due to irrelevance or redundancy.  
- **Target Variable**: `Depression` (Binary classification - Yes or No)

The dataset is now ready for further exploration through **Exploratory Data Analysis (EDA)**.
""")

if st.button("Next >>"):
    st.switch_page(r"pages/3 EDA.py")

if st.button("<< Back"):
    st.switch_page(r"pages/1 Problem Statement.py")