Saltar al contenido principal
InicioRIdentifying Flight Duration Trends in Air Travel

proyecto

Identifying Flight Duration Trends in Air Travel

Principiante
Updated 04/2024

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

Iniciar Proyecto De Forma Gratuita

Incluido conPremium or Teams

1 Task1,500 XP835

Crea Tu Cuenta Gratuita

GoogleLinkedInFacebook

o

Al continuar, acepta nuestros Términos de uso, nuestra Política de privacidad y que sus datos se almacenan en los EE. UU.
Group

¿Entrenar a 2 o más personas?

Probar DataCamp for Business

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

Ver Más

What do other learners have to say?