Identifying Flight Duration Trends in Air Travel

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

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1 Task1,500 XP599

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Amado por alunos de milhares de empresas

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
Answer flight analysis questions.

Technologies

Topics

Data Manipulation

Pré-requisitos

Joining Data with dplyr

Dr. Chester Ismay

Educator, Data Scientist, and R/Python Consultant

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