o

demo1.R

lenevo-pc

2022-11-16

library(dplyr)

## 
## Attaching package: 'dplyr'

## The following objects are masked from 'package:stats':
## 
##     filter, lag

## The following objects are masked from 'package:base':
## 
##     intersect, setdiff, setequal, union

Stu_Rollno=c(1:226)
Stu_name=c('A','B','C','A','B','B','C','G','F','F','F','G','G', 'F', 'F','A','B','A','B','C','G','F','F','F','G','G', 'F', 'F','A','B','A','B','C','G','F','F','F','G','G', 'F', 'F','A','B','A','B','C','G','F','F','F','G','G', 'F', 'F','A','B','A','B','C','G','F','F','F','G','G', 'F', 'F','A','B','A','B','C','G','F','F','F','G','G', 'F', 'F','A','B','A','B','C','G','F','F','F','G','G', 'F', 'F','A','B','A','B','C','G','F','F','F','G','G', 'F', 'F','A','B','A','B','C','G','F','F','F','G','G', 'F', 'F','A','B','A','B','C','G','F','F','F','G','G', 'F', 'F','A','B','A','B','C','G','F','F','F','G','G', 'F', 'F','A','B','A','B','C','G','F','F','F','G','G', 'F', 'F','A','B','C','G','F','F','F','G','G', 'F', 'F','A','B','C','G','F','F','F','G','G', 'F', 'F','A','B','C','G','F','F','F','G','G', 'F', 'F','F','A', 'B', 'C', 'G', 'F', 'F', 'F', 'G', 'G', 'F', 'F','A', 'B', 'C', 'G', 'F', 'F', 'F', 'G', 'G', 'F', 'F','A', 'B', 'C', 'G', 'F', 'F', 'F', 'G', 'G', 'F','G', 'F')
Stu_stop<-c("Periyar nagar","Periyar nagar","Periyar nagar","Periyar nagar","Periyar nagar","Periyar nagar","Periyar nagar","Periyar nagar","Periyar nagar","Periyar nagar","Periyar nagar","Periyar nagar","Periyar nagar","Periyar nagar","Periyar nagar","Periyar nagar","Periyar nagar","Periyar nagar","Periyar nagar","Periyar nagar","Periyar nagar","Periyar nagar","Periyar nagar","Periyar nagar","Periyar nagar","Periyar nagar","Periyar nagar","Periyar nagar","Periyar nagar","Periyar nagar","Periyar nagar","Periyar nagar","Periyar nagar","Periyar nagar","Periyar nagar","Periyar nagar","Periyar nagar","Periyar nagar","Periyar nagar","Periyar nagar","Periyar nagar","Periyar nagar","Periyar nagar","Periyar nagar","Periyar nagar","Tambaram","Tambaram","Tambaram","Tambaram","Tambaram","Tambaram","Tambaram","Tambaram","Tambaram","Tambaram","Tambaram","Tambaram","Tambaram","Tambaram","Tambaram","Tambaram","Tambaram","Tambaram","Tambaram","Tambaram","Tambaram","Tambaram","Tambaram","Tambaram","Tambaram","Tambaram","Tambaram","Tambaram","Tambaram","Tambaram","Tambaram","Tambaram","Tambaram","Tambaram","Tambaram","Tambaram","Tambaram","Tambaram","Tambaram","Tambaram","Arakkonam", "Arakkonam", "Arakkonam", "Arakkonam", "Arakkonam", "Arakkonam", "Arakkonam", "Arakkonam", "Arakkonam", "Arakkonam", "Arakkonam", "Arakkonam", "Arakkonam", "Arakkonam", "Arakkonam", "Arakkonam", "Arakkonam", "Arakkonam", "Arakkonam", "Arakkonam", "Arakkonam", "Arakkonam", "Arakkonam", "Arakkonam", "Arakkonam", "Arakkonam", "Arakkonam", "Arakkonam", "Arakkonam", "Arakkonam", "Arakkonam", "Arakkonam", "Arakkonam", "Arakkonam", "Arakkonam", "Arakkonam", "Arakkonam", "Arakkonam", "Arakkonam", "Arakkonam", "Arakkonam", "Arakkonam", "Arakkonam", "Arakkonam", "Arakkonam", "Arakkonam", "Arakkonam", "Arakkonam", "Arakkonam", "Arakkonam",
            "Kanchipuram", "Kanchipuram", "Kanchipuram", "Kanchipuram", "Kanchipuram", "Kanchipuram", "Kanchipuram", "Kanchipuram", "Kanchipuram", "Kanchipuram", "Kanchipuram", "Kanchipuram", "Kanchipuram", "Kanchipuram", "Kanchipuram", "Kanchipuram", "Kanchipuram", "Kanchipuram", "Kanchipuram", "Kanchipuram", "Kanchipuram", "Kanchipuram", "Kanchipuram", "Kanchipuram", "Kanchipuram", "Kanchipuram", "Kanchipuram", "Kanchipuram", "Kanchipuram",  "Kanchipuram", "Kanchipuram", "Kanchipuram", "Kanchipuram", "Kanchipuram", "Kanchipuram", "Kanchipuram", "Kanchipuram", "Kanchipuram", "Kanchipuram", "Kanchipuram", "Kanchipuram", "Kanchipuram", "Kanchipuram", "Kanchipuram", "Kanchipuram", "Kanchipuram",
            "Ponneri", "Ponneri", "Ponneri", "Ponneri", "Ponneri", "Ponneri", "Ponneri", "Ponneri", "Ponneri", "Ponneri", "Ponneri", "Ponneri", "Ponneri", "Ponneri", "Ponneri", "Ponneri", "Ponneri", "Ponneri", "Ponneri", "Ponneri", "Ponneri", "Ponneri", "Ponneri", "Ponneri", "Ponneri", "Ponneri", "Ponneri", "Ponneri", "Ponneri", "Ponneri", "Ponneri", "Ponneri", "Ponneri", "Ponneri", "Ponneri", "Ponneri", "Ponneri", "Ponneri", "Ponneri", "Ponneri", "Ponneri", "Ponneri", "Ponneri", "Ponneri", "Ponneri")
print("The Total Students Bus Allocation Details")

## [1] "The Total Students Bus Allocation Details"

df<-data.frame(Stu_Rollno,Stu_name,Stu_stop)