Airline Delay Cause Dashboard Analysis

This analysis provides a comprehensive visualization of flight delays across the United States from January 2017 to July 2022, focusing on patterns and trends of delays based on airlines, airports, and various delay causes. Data Cleaning was performed using Python, and the creation of visualization dashboards was done using Tableau. The analysis explores factors causing delays, such as weather, technical issues, or air traffic, and compares the performance of airlines and airports. The results of this analysis offer valuable insights for decision-making to improve operational efficiency and customer satisfaction in the aviation industry. To view the Data Cleaning process using Python, please visit the Notebook Analysis below the Dashboard.