Create pages/3_EDA.py

pages/3_EDA.py

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+import streamlit as st
+
+st.title("📈 Exploratory Data Analysis (EDA)")
+
+st.markdown("""
+## 🔍 Data Exploration:
+The dataset was carefully analyzed to understand:
+- Distribution of ticket prices across different airlines.
+- Impact of number of stops on ticket price.
+- Influence of departure and arrival times on pricing.
+- Effect of travel class on ticket cost.
+
+---
+
+## 📊 Key Observations:
+- **Air India** and **Business Class flights** tend to have higher ticket prices.
+- **Zero-stop flights** are usually more expensive compared to those with multiple stops.
+- Flights booked closer to the travel date tend to be significantly more expensive.
+
+---
+
+## 📉 Visualization Techniques:
+- Countplots to understand the frequency of different categories.
+- Boxplots to analyze outliers and distribution.
+
+These insights guided the feature engineering and model building processes.
+""")
+
+if st.button('Next'):
+    st.switch_page('pages/4_Feature_Engineering.py')
+
+if st.button('Go to Data Understanding'):
+    st.switch_page('pages/2_Data_Understanding.py')