Read csv file in r from desktop

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  • How to load file in r

    • How to import data in rstudio from excel...

    Suppose I have a CSV file called data.csv saved in the following location:

    C:\Users\Bob\Desktop\data.csv

    And suppose the CSV file contains the following data:

    team, points, assists 'A', 78, 12 'B', 85, 20 'C', 93, 23 'D', 90, 8 'E', 91, 14

    There are three common ways to import this CSV file into R:

    1.

    R load dataset from package

  • How to import data into r from excel
  • How to import data in rstudio from excel
  • How to read data in r from csv
  • Read.csv r documentation

    • Use read.csv from base R (Slowest method, but works fine for smaller datasets)

    data1 <- read.csv("C:\\Users\\Bob\\Desktop\\data.csv", header=TRUE, stringsAsFactors=FALSE)

    2. Use read_csv from readr package (2-3x faster than read.csv)

    library(readr) data2 <- read_csv("C:\\Users\\Bob\\Desktop\\data.csv")

    3.

    Use fread from data.table package (2-3x faster than read_csv)

    library(data.table) data3 <- fread("C:\\Users\\Bob\\Desktop\\data.csv")

    This tutorial shows an example of how to use each of these methods to import the CSV file into R.

    Method 1: Using read.csv

    If your CSV file is reasonably small, you can just use the read.csv function from Base R to import it.

    When using this method, be sure to specify stringsAsFactors=FALSE so that R

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