memory.size()
## [1] 24.6
memory.limit()
## [1] 3984
gc()
## used (Mb) gc trigger (Mb) max used (Mb)
## Ncells 300774 16.1 592000 31.7 350000 18.7
## Vcells 490612 3.8 1023718 7.9 785635 6.0
getwd()
## [1] "C:/Users/Ashwini/SkyDrive/Documents"
dir(path="C:/Users/Ashwini/Documents")
## [1] "adult.data.txt"
## [2] "Avatar"
## [3] "BigDiamonds.csv"
## [4] "ChatLog Collabera TACT __ Business Analytics with R 20151121 2015_11_21 19_44.rtf"
## [5] "ChatLog Collabera TACT __ Business Analytics with R 20151121 2015_11_28 19_35.rtf"
## [6] "Custom Office Templates"
## [7] "CyberLink"
## [8] "Day 01 - Business Analytics with R.rtf"
## [9] "Day 02 - Business Analytics with R.rtf"
## [10] "desktop.ini"
## [11] "hp.applications.package.appdata"
## [12] "hp.system.package.metadata"
## [13] "My Music"
## [14] "My Pictures"
## [15] "My Videos"
## [16] "Quandl+-+R+Cheat+Sheet.pdf"
## [17] "R"
## [18] "Ricci-refcard-regression.pdf"
## [19] "Ricci-refcard-ts.pdf"
## [20] "Short-refcard.pdf"
## [21] "SQL.pdf"
## [22] "YanchangZhao-refcard-data-mining.pdf"
## [23] "Youcam"
list.files("C:/Users/Ashwini/Documents",pattern="csv")
## [1] "BigDiamonds.csv"
myfirstfile=read.csv("C:/Users/Ashwini/Documents/BigDiamonds.csv")
memory.size()
## [1] 162.46
object.size(myfirstfile)
## 64705144 bytes
str(myfirstfile)
## 'data.frame': 598024 obs. of 13 variables:
## $ X : int 1 2 3 4 5 6 7 8 9 10 ...
## $ carat : num 0.25 0.23 0.34 0.21 0.31 0.2 0.2 0.22 0.23 0.2 ...
## $ cut : Factor w/ 3 levels "Good","Ideal",..: 3 1 1 3 3 1 1 3 3 1 ...
## $ color : Factor w/ 9 levels "D","E","F","G",..: 8 4 7 1 8 4 4 1 8 3 ...
## $ clarity : Factor w/ 9 levels "I1","I2","IF",..: 1 1 2 1 1 5 5 1 5 4 ...
## $ table : num 59 61 58 60 59 60 63 61 57.5 65 ...
## $ depth : num 63.7 58.1 58.7 60.6 62.2 64.4 62.6 59.2 63.6 54.9 ...
## $ cert : Factor w/ 9 levels "AGS","EGL","EGL Intl.",..: 6 6 6 6 2 6 6 6 8 6 ...
## $ measurements: Factor w/ 241453 levels ""," 3.99 x 3.95 x 2.44",..: 19960 21917 48457 15701 37341 14661 14400 19642 17115 16177 ...
## $ price : int NA NA NA NA NA NA NA NA NA NA ...
## $ x : num 3.96 4 4.56 3.8 4.35 3.74 3.72 3.95 3.87 3.83 ...
## $ y : num 3.95 4.05 4.53 3.82 4.26 3.67 3.65 3.97 3.9 4 ...
## $ z : num 2.52 2.3 2.67 2.31 2.68 2.38 2.31 2.34 2.47 2.14 ...