logo

R programming for analyzing flight dataset and flight scheduling

Read in the flights dataset from the NYC flights package and count the number of flights leaving EWR, JFK, and LGA.

26 Pages1439 Words140 Views
   

Added on  2023-06-10

About This Document

This article covers the steps to analyze flight dataset using R programming, including importing csv file, sorting dataset, finding mean and median, viewing density and plotting dataset. It also covers flight scheduling using Java programming. The article includes code snippets and screenshots for better understanding.

R programming for analyzing flight dataset and flight scheduling

Read in the flights dataset from the NYC flights package and count the number of flights leaving EWR, JFK, and LGA.

   Added on 2023-06-10

ShareRelated Documents
Major Assignment2: Part 1
Step1: Import the csv file in R.
R programming for analyzing flight dataset and flight scheduling_1
Step2: Dimension of the dataset.
R programming for analyzing flight dataset and flight scheduling_2
Step3: Sort the dataset into the table:
Step4: Count the column of the flight dataset:
R programming for analyzing flight dataset and flight scheduling_3
Step5: origin is the column of the dataset and count the origin.
Step6: View the three Table of the flight dataset.
Step7: Find out the New Table and display the dataset and Column of the dataset.
R programming for analyzing flight dataset and flight scheduling_4
Step8: Find out the mean and median of the dataset and maximum and minimum.
R programming for analyzing flight dataset and flight scheduling_5
R programming for analyzing flight dataset and flight scheduling_6

End of preview

Want to access all the pages? Upload your documents or become a member.