Reading a Comma-Separated Value(CSV) File
Method 1: Using read.csv() Function Read CSV Files into R
The function has two parameters:
- file.choose(): It opens a menu to choose a CSV file from the desktop.
- header: It is to indicate whether the first row of the dataset is a variable name or not. Apply T/True if the variable name is present else put F/False.
Example:
R
# import and store the dataset in data1 data1 <- read.csv ( file.choose (), header=T) # display the data data1 |
Output:
Method 2: Using read.table() Function
This function specifies how the dataset is separated, in this case we take sep=”, “ as an argument.
Example:
R
# import and store the dataset in data2 data2 <- read.table ( file.choose (), header=T, sep= ", " ) # display data data2 |
Output:
Importing Data in R Script
We can read external datasets and operate with them in our R environment by importing data into an R script. R offers a number of functions for importing data from various file formats.
In this article, we are going to see how to Import data in R Programming Language.