# "R": Looking at the Data (Gasoline) – 001

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As other softwares “R” has nice tools to look to the data before to develop the calibration.**NIR-Quimiometría**, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here)Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.

Statistics for the “Y” variable (in this case octane number) like Maximun, Minimun,..,standard deviation,…are important:

**> library(ChemometricsWithR)**

**> data(gasoline)**

**> summary(gasoline$octane)**

Min. 1st Qu. Median Mean 3rd Qu. Max.

83.40 85.88 87.75 87.18 88.45 89.60

**> sd(gasoline$octane)**

[1] 1.530078

And of course the Histogram:**> hist(gasoline$octane)**

*Bibliography:*

**Tutorials of :****Bjorn-Helge Mevik**

Norwegian University of Life Sciences

**Ron Wehrens**

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