https://github.com/jahnvisahni31/airport_analysis
This project is a comprehensive Power BI dashboard analyzing airport operations, focusing on flight delays, time analysis, and detailed flight information to improve efficiency and passenger satisfaction.
https://github.com/jahnvisahni31/airport_analysis
airline-performance airport airport-operations aviation business-intelligence dashboard data-analytics data-visualization flight-analysis flight-data flight-delays power-bi time-analysis
Last synced: 6 days ago
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This project is a comprehensive Power BI dashboard analyzing airport operations, focusing on flight delays, time analysis, and detailed flight information to improve efficiency and passenger satisfaction.
- Host: GitHub
- URL: https://github.com/jahnvisahni31/airport_analysis
- Owner: jahnvisahni31
- License: gpl-3.0
- Created: 2024-05-18T16:17:23.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2024-05-28T04:49:44.000Z (over 1 year ago)
- Last Synced: 2025-03-04T07:23:47.246Z (8 months ago)
- Topics: airline-performance, airport, airport-operations, aviation, business-intelligence, dashboard, data-analytics, data-visualization, flight-analysis, flight-data, flight-delays, power-bi, time-analysis
- Homepage:
- Size: 3.9 MB
- Stars: 1
- Watchers: 1
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# Airport Analysis Dashboard - README
## Overview
Welcome to the Airport Analysis Dashboard! This Power BI dashboard is designed to provide a comprehensive analysis of airport operations, focusing on flight delays, time analysis, and detailed flight information. It aims to assist airport management, airline operators, and other stakeholders in making informed decisions to improve efficiency and passenger satisfaction.
## Table of Contents
1. [Overview](#overview)
2. [Delays and Time Analysis](#delays-and-time-analysis)
3. [Detailed Flight Analysis](#detailed-flight-analysis)
4. [Getting Started](#getting-started)
5. [Data Sources](#data-sources)
6. [Usage](#usage)
7. [Photos](#photos)
8. [Feedback and Support](#feedback-and-support)
## Overview
The **Overview** page provides a high-level summary of the airport's performance. Key metrics displayed include:
- Total number of flights
- Average delay times
- On-time performance percentage
- Number of delayed flights
- Passenger satisfaction scores
This page is designed to give a quick snapshot of overall airport efficiency and key performance indicators.
## Delays and Time Analysis
The **Delays and Time Analysis** page dives deeper into flight delays and their impact on airport operations. This section includes:
- **Delay Trends**: Visualizations showing the trend of delays over time (daily, weekly, monthly).
- **Delay Causes**: Analysis of the primary causes of delays (e.g., weather, technical issues, air traffic control).
- **Peak Delay Times**: Identification of times of day and days of the week with the highest delays.
- **Delay Distribution**: Distribution of delays by duration (e.g., 0-15 minutes, 16-30 minutes, etc.).
This analysis helps identify patterns and potential areas for operational improvements.
## Detailed Flight Analysis
The **Detailed Flight Analysis** page offers an in-depth look at individual flight data. Key features include:
- **Flight Performance**: Performance metrics for specific flights, including departure and arrival times, delays, and cancellations.
- **Route Analysis**: Analysis of performance by routes, identifying the best and worst-performing routes.
- **Airline Comparison**: Comparison of different airlines' performance, including on-time rates and average delays.
- **Passenger Insights**: Insights into passenger volume, satisfaction, and feedback on specific flights.
This detailed analysis supports granular investigation into specific flights and routes to identify improvement opportunities.
## Getting Started
To get started with the Airport Analysis Dashboard:
1. **Install Power BI Desktop**: Ensure you have Power BI Desktop installed on your machine. You can download it from [Microsoft Power BI](https://powerbi.microsoft.com/desktop/).
2. **Open the Dashboard File**: Download and open the provided Power BI (.pbix) file.
3. **Connect to Data Sources**: Make sure the data sources are connected properly. Update any data paths or credentials if necessary.
4. **Explore the Dashboard**: Navigate through the different pages to explore the visualizations and insights.
## Data Sources
The dashboard utilizes the following data sources:
- **Flight Data**: Information on flight schedules, departure and arrival times, delays, and cancellations.
- **Weather Data**: Historical weather data affecting flight operations.
- **Passenger Feedback**: Data from passenger surveys and feedback forms.
- **Airport Operations Data**: Data on ground operations, including baggage handling, boarding processes, and security checks.
Ensure these data sources are updated regularly to maintain the accuracy and relevance of the dashboard.
## Usage
- **Filtering and Slicing**: Use the built-in filters and slicers to focus on specific time periods, airlines, routes, or other dimensions.
- **Interactivity**: Click on different visual elements to drill down into more detailed data and uncover deeper insights.
- **Exporting Data**: Export specific data views or visualizations as needed for reporting or presentations.
### Photos
#### Overview Page
#### Delays and Time Analysis Page
#### Detailed Flight Analysis Page
Thank you for using the Airport Analysis Dashboard. We hope this tool helps you enhance airport operations and improve the overall passenger experience.