Create pages/2 Data Understanding.py

pages/2 Data Understanding.py

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+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")