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projeto

Identifying Flight Duration Trends in Air Travel

Iniciante
Updated 04/2024
Exploring flight data from NYC using advanced data joining techniques in R.
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1 Task1,500 XP880

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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.

Technologies

R R

Topics

Data Manipulation
Dr. Chester Ismay HeadshotDr. Chester Ismay

Educator, Data Scientist, and R/Python Consultant

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