✈️ Airlines Flights Data Analysis Dashboard

Deployment can be found at 👉 https://airlines-flight-data-analysis.streamlit.app/

This project presents a professional Streamlit dashboard built for analyzing airline flights data. It provides interactive and insightful visualizations to uncover trends, understand flight pricing, and support strategic decisions in the airline industry.

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📦 Dataset Overview

The dataset contains records of flights including the following columns:

• airline: Airline operating the flight
• flight: Flight number
• source_city: Origin city
• departure_time: Category of departure time (Morning, Evening, etc.)
• stops: Number of stops (Non-stop, 1 Stop, etc.)
• arrival_time: Category of arrival time
• destination_city: Destination city
• class: Travel class (Economy/Business)
• duration: Total travel time
• days_left: Days left for the flight from the booking date
• price: Ticket price in local currency

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🚀 Features

• ✅ General data overview: record count, airline count, and city count
• 📈 Airline vs Average Price bar chart
• 🕒 Duration vs Price line chart
• ⏱️ Departure Time Category vs Average Price bar chart
• 🛫 Source and Destination vs Price box plots
• 🧠 Correlation Heatmap
• 🎯 Fully interactive filters

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🧰 Tech Stack

• Python 3.8+
• Streamlit
• Pandas
• Matplotlib
• Seaborn

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💻 Installation & Setup

1. Clone the Repository

git clone https://github.com/yourusername/airlines-flights-dashboard.git
cd airlines-flights-dashboard

2. Install Requirements

Create a virtual environment (optional but recommended):

python -m venv venv
source venv/bin/activate  # On Windows use `venv\Scripts\activate`

Install the dependencies:

pip install -r requirements.txt

3. Launch the Streamlit App

streamlit run app.py

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📁 Project Structure

airlines-flights-dashboard/
│
├── dataset/
│   └── airlines_flights_data.csv       # Dataset file 
├── app.py                              # Streamlit app script
├── requirements.txt                    # Python dependencies
└── README.md                           # Project documentation

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📝 Requirements

Save this as requirements.txt:

streamlit
pandas
matplotlib
seaborn

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📄 License

This project is licensed under the MIT License.
You are free to use, modify, and distribute this project with attribution.

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🙌 Acknowledgements

• Streamlit
• Pandas
• Seaborn
• Dataset inspired by public airline data available on Kaggle

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