import streamlit as st

st.title("📊 Data Collection & Data Understanding")

st.markdown("""
## 📥 Data Collection:
The dataset used in this project was collected from an online source containing historical flight price data for various airlines.

### Dataset Features:
- **Airline:** Name of the airline company.
- **Source City:** The departure city.
- **Departure Time:** Scheduled time of departure.
- **Stops:** Number of stops in the flight.
- **Arrival Time:** Scheduled arrival time.
- **Destination City:** The destination city.
- **Class:** Class of the flight (Economy/Business).
- **Duration:** Total travel duration (in hours).
- **Days Left:** Number of days between the booking date and the flight date.
- **Price:** Target variable — flight ticket price.

---

## 📚 Key Understanding:
- **Data Type:** Mix of categorical and numerical variables.
- **Data Size:** Contains several thousand records.
- **Target Variable:** Flight Ticket Price.

The next step is to explore the dataset through Exploratory Data Analysis (EDA).
""")

if st.button('Next'):
    st.switch_page('pages/3_EDA.py')

if st.button('Go to Problem Statement'):
    st.switch_page('pages/1_Problem_Statement.py')