Create pages/page.py

pages/page.py

@@ -0,0 +1,29 @@
+import streamlit as st
+import pandas as pd
+
+# Introduction and About Data
+st.title("Introduction and About Data")
+st.markdown("""
+Welcome to the Hotel Data Analysis App. This app helps analyze hotel datasets, perform feature engineering, 
+and create predictive models. Use the sidebar to navigate through the pages.
+
+**Features**:
+- Download the dataset for exploration.
+- Perform exploratory data analysis (EDA) and feature engineering.
+- Create and evaluate machine learning models.
+- Conclude insights from the analysis.
+
+**About the Data**:
+The dataset includes hotel-related information such as price, ratings, discounts, cashback, and categories.
+It is designed for understanding relationships between features and building predictive models.
+""")
+
+st.markdown("### Download the Dataset")
+sample_data = {
+    "Price": [1000, 2000, 1500, 3000],
+    "Rating": [4.5, 4.0, 4.2, 3.8],
+    "Category": ["Luxury", "Premium", "Budget", "Low Budget"]
+}
+df = pd.DataFrame(sample_data)
+csv = df.to_csv(index=False).encode('utf-8')
+st.download_button("Download Sample Dataset", data=csv, file_name="hotel_data.csv", mime="text/csv")