Auditing minimum connection time standards at U.S. hub airports using BTS On-Time Performance and DB1B data. January 2019, Python.
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Jun 19, 2026 - Python
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bts-data
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Data analysis of December domestic air travel from Seattle (SEA), exploring passenger demand, airfare, flight availability, and airline service using Python and Power BI.
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Sep 24, 2026 - Jupyter Notebook
Exploratory and explanatory data analysis of 2 million U.S. domestic flights (2010–2019) from the Bureau of Transportation Statistics — when, where and with whom are delays most likely? Built with pandas, matplotlib and seaborn as the Udacity Data Analyst Nanodegree capstone project.
python exploratory-data-analysis jupyter-notebook pandas data-visualization seaborn data-analysis udacity-nanodegree flight-delays bts-data
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May 7, 2026 - Jupyter Notebook
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