Sandip2512 / Flights_dataanalysis_dasboard

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Flights_data_analysis_dasboard

Welcome to the Flight Data Analysis Dashboard, where we explore fascinating insights into the flights operating in India! This project aims to provide a comprehensive analysis of various aspects of flights, including airlines, ticket prices, and routes, to help users gain valuable insights and make informed decisions.

Objective

The primary objective of this project is to analyze the vast dataset of flight information to uncover interesting patterns, trends, and correlations. By visualizing and exploring this data, we aim to provide a user-friendly interface for understanding key factors that influence flight operations and ticket pricing in India.

Data Source:

The flight data used in this analysis is sourced from reliable and up-to-date aviation databases. It includes a wide range of attributes, such as airline details, flight class, ticket prices, source, destination, and more. This extensive dataset is continually updated to ensure accuracy and relevance.

Dataset Link : https://www.kaggle.com/datasets/dhirajbembade/indian-airlines-ticket-price-analysis

Dashboard Features:

About Project: This section provides an overview of the project, its objectives, and data sources. Users can learn more about the methodology used in analyzing the flight data and the scope of insights provided. Screenshot (189)

Flights Details: Here, users can explore the details of all available flights. By selecting a specific source and destination, the dashboard will display relevant information, including the airline name, flight class, and average ticket price. This feature enables users to compare and analyze flight options based on their preferences. Screenshot (187)

Analysis: The analysis section presents interactive visualizations and charts, highlighting key trends and patterns found in the flight data. Users can interact with various graphs to explore factors influencing ticket prices, popular airlines, busy flight routes, and much more. Screenshot (188)

Disclaimer:

The insights and visualizations presented in this dashboard are for informational and illustrative purposes only. While we strive for accuracy and reliability, we cannot guarantee the absolute correctness of the data. Users are advised to use their discretion and corroborate information from other sources when making any critical decisions based on the insights presented in this dashboard.

For any queries or support, please feel free to contact us via the provided contact information. Happy exploring!

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