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Reading large CSV File with R

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This tutorial explains how to read large CSV files with R. I have tested this code upto 6 GB File.

Method I : Using data.table library 
library(data.table)
yyy = fread("C:\\Users\\Deepanshu\\Documents\\Testing.csv", header = TRUE)

Method II : Using bigmemory library
library(bigmemory)
y <- read.big.matrix("C:\\Users\\Deepanshu\\Documents\\Testing.csv", type = "integer", header=TRUE)
dim(y)
#coerce a big.matrix to a matrix
yy= as.matrix(y)

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About Author:

Deepanshu founded ListenData with a simple objective - Make analytics easy to understand and follow. He has over 10 years of experience in data science. During his tenure, he has worked with global clients in various domains like Banking, Insurance, Private Equity, Telecom and Human Resource.

4 Responses to "Reading large CSV File with R"
  1. Santosh Kumar Kar18 May 2016 at 11:29

    Nice, very useful

    ReplyDelete
  2. clumsycasanova3 June 2016 at 04:45

    neat

    ReplyDelete
  3. Steve R7 October 2017 at 01:29

    It's actually incredibly simple. All you need to do is go to the start menu and choose run. Then type "cmd" into the dialogue box and hit enter. excel reporting dashboard

    ReplyDelete
  4. DEPARTMENT OF CS AND BCA31 January 2019 at 07:58

    Fine, I want algorithm step for k nearest neighbor

    ReplyDelete

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