# import data.table library
library(data.table)
#import data
data2 <- read_csv("C:PersonalIMScricket_points.csv")data <- read.csv("input.csv")
print(data)read.csv("yourdata.csv", sep = ';')# read the data from the CSV file
data <- read.csv("C:PersonalIMScricket_points.csv", header=TRUE)
# print the data variable (outputs as DataFrame)
datalibrary(readr)
data <- read_csv("input.csv") # import data.table library
library(data.table)
# read the CSV file
data3 <- fread("C:PersonalIMScricket_points.csv")df <- read.csv('file_name.csv') #utils Package
##Output as Data Frame
###Mother Import Function of two functions below
read.table("data.txt", sep = "", col.names = c("x", "y"),
colClasses = c("factor", "NULL"))
read.csv("data.csv", stringAsFactor = F, header = F) #Header and SAF Default True
read.delim("data.txt", stringAsFactor = F, header = F) #Header and SAF Default True
##col.names and colClasses argument could be also passed in read.csv() and read.delim() function
#readr Package
##Output as tbl_df, tbl & data.frame
###Mother Import Function of two functions below
read_delim("data.txt", col_names = c("x", "y"), col_names
delim = "" #delim in readr is same as sep in utils
col_types = "cd") # c = character, d = double, i = integer, l = logical, _ = skip
read_csv("data.csv") #SAF Default FALSE, header Default True
read_tsv("data.txt")
#fread function (data.table Package)
##Output as data.table & data.frame
fread("data.csv", #Default auto determine header, coltypes and sep
drop = 2:4,
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