Airline Flights Analysis Dashboard with Power BI

Project Overview:

This project showcases my ability to work with large-scale time-sensitive data by building a professional Power BI dashboard for an airline company. The dashboard provides a detailed and interactive view of daily flight operations, including the number of flights, flight durations, and passenger counts — all designed to support strategic and operational decision-making.

️ Tools Used:

Power BI for data visualization and interactive dashboard creation

DAX for advanced calculations and time intelligence

Cross-report functionality for seamless report interaction across pages

Interactive Charts including bar charts, line charts, pie charts, and dynamic cards

? Project Creation Process:

Data Collection & Preparation:

I worked with flight data that included daily schedules, flight durations, passenger numbers, and departure/arrival times. The dataset was cleaned and structured using Power BI's Power Query Editor.

Data Modeling:

I created relationships between tables (flights, aircrafts, passengers, routes) and applied DAX measures to calculate total flights per day, average flight duration, and total passengers.

Dashboard Design:

I designed a professional multi-section dashboard that includes:

Daily Flights Tracker – showing how many flights operate each day.

Flight Duration Analytics – analyzing average and total flight time.

Passenger Insights – total passengers per day and per route.

Interactive Charts – such as slicers for dates, destinations, and aircraft types.

Cross-report Features – enabled seamless navigation and filter sharing between multiple report pages.

Key Features:

Professional layout and clean visual design with real-time filters

Cross-report filtering for enhanced interactivity and storytelling

Multiple interactive visualizations, such as:

Line chart of flights per day

Pie chart for passenger distribution by destination

Bar chart comparing flight durations

Cards displaying key KPIs (Total Flights, Average Duration, Total Passengers)

Objective:

To help airline managers and analysts monitor daily operations, understand passenger loads, and optimize scheduling efficiency by providing a clear, data-driven view through a high-quality and interactive Power BI dashboard.