This repository contains the work I completed for the Flight Delays and Cancellations Data Visualization project during my Udacity Tableau Nanodegree. The project involved exploring and analyzing a real dataset from Kaggle, focusing on the on-time performance of US domestic flights operated by large air carriers in 2015. The primary goal was to create insightful data visualizations that tell a story or highlight patterns in the data.
The main dataset used for this project is flights.csv, obtained from Kaggle. It tracks various aspects of flight performance, allowing for a comprehensive analysis of delays and cancellations.
Link to the Dataset on Kaggle.
I have created multiple dashboards and visualizations using Tableau to address specific questions and showcase the insights derived from the data. The PDF file in this repository, titled Data_Visualization_in_Tableau-Flights.pdf, contains a detailed presentation of these visualizations.
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Airlines and Airports with the Worst Delays:
- Identification of airlines and airports with the highest delays.
- Alternative visualizations employed to effectively communicate delay patterns.
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Destinations and Arrival Destinations with the Most Delays:
- Analysis of delays based on departure and arrival destinations.
- Utilization of appropriate visualizations to convey information effectively.
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Causes of Delays:
- Investigation into the factors causing delays during flights.
- Consideration of variations in delay causes across airports and time of year.
To explore the detailed visualizations and gain insights from the project, please refer to the Data_Visualization_in_Tableau-Flights.pdf file in this repository. Each page in the PDF corresponds to a specific dashboard or set of visualizations addressing different aspects of the dataset.
Feel free to reach out if you have any questions or would like further clarification on any part of the project. Thank you for reviewing my work!