1. Buat file: read.csv
id,name,salary,start_date,dept
1,Shubham,613.3,2012-01-01,IT
2,Arpita,525.2,2013-09-23,Operations
3,Vaishali,63,2014-11-15,IT
4,Nishka,749,2014-05-11,HR
5,Gunjan,863.25,2015-03-27,Finance
6,Sumit,588,2013-05-21,IT
7,Anisha,932.8,2013-07-30,Operations
8,Akash,712.5,2014-06-17,Financ
2. Read file csv
2.1. Baca seluruh file
data <- read.csv("read.csv")
print(data)
2.2. membaca jumlah kolum & baris:
csv_data<- read.csv("read.csv")
print(is.data.frame(csv_data))
print(ncol(csv_data))
print(nrow(csv_data))
2.3. membaca nilai maksimal :
# Creating a data frame.
csv_data<- read.csv("read.csv")
# Getting the maximum salary from data frame.
max_sal<- max(csv_data$salary)
print(max_sal)
2.4. membaca dengan kondisi salary maksimal:
# Creating a data frame.
csv_data<- read.csv("read.csv")
# Getting the maximum salary from data frame.
max_sal<- max(csv_data$salary)
print(max_sal)
#Getting the detais of the pweson who have maximum salary
details <- subset(csv_data,salary==max(salary))
print(details)
2.5. membaca field dept = IT
# Creating a data frame.
csv_data<- read.csv("read.csv")
#Getting the detais of all the pweson who are working in IT department
details <- subset(csv_data,dept=="IT")
print(details)
2.6. membaca kondisi field dept = IT dan salary > 600
# Creating a data frame.
csv_data<- read.csv("read.csv")
#Getting the detais of all the pweson who are working in IT department
details <- subset(csv_data,dept=="IT"&salary>600)
print(details)
2.7. kondisi dengan field tanggal
# Creating a data frame.
csv_data<- read.csv("read.csv")
#Getting details of those peoples who joined on or after 2014
details <- subset(csv_data,as.Date(start_date)>as.Date("2014-11-01"))
print(details)
3. Write File CSV
csv_data<- read.csv("read.csv")
#Getting details of those peoples who joined on or after 2014
details <- subset(csv_data,as.Date(start_date)>as.Date("2014-06-01"))
# Writing filtered data into a new file.
write.csv(details,"output.csv")
new_details<- read.csv("output.csv")
print(new_details)
