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Identifying Flight Duration Trends in Air Travel

Exploring flight data from NYC using advanced data joining techniques in R.

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1 Tasks1,500 XP

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Project Description

Fly into the world of airline data analysis, focusing on flights from NYC in the latter half of 2022. Enhance your data manipulation skills by exploring flight durations, frequencies, and destinations using the tidyverse and gain valuable insights into airline operations.

Project Tasks

  1. 1
    Answer flight analysis questions.




Data Manipulation
Dr. Chester Ismay HeadshotDr. Chester Ismay

Educator, Data Scientist, and R/Python Consultant

Chester enjoys helping others get into data science, figuring out how to best practice and improve on their skills, and working as a part-time consultant on R and Python programming projects. He is co-author of "Statistical Inference via Data Science: A ModernDive into R and the Tidyverse" available at and for purchase from CRC Press. He likes leading education and data science teams with the goal of improving best practices based on data from the learning sciences.
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