Simple visualization using (python and R )_part 2/2

This time, as you expected, I am going to generate a one simple graph using R command. R provides diverse libraries relating visualization but this time I am going to use a plot function which is very simple.

I am going to use a file which is generated from last tutorial.
This file contains 4 columns(name,team,position,age) and 486 rows. but my interested column is "Age" column.

First, I should read data file in the R command prompt.
Once file data is stored in the any variable, you can take "Age" column and visualize it.


Let's try. Check the file name and location, and then just glance over a file contents. As you can see below there is no head information so be careful the read option when you read file contents

[hadoop08:37:06@NBA]$tail -10 NBAFILE_Through_web.txt
Jeff Withey    Nor    C    23
Nate Wolters    Mil    PG    22
Brandan Wright    Dal    C    26
Chris Wright    Mil    SF    25
Dorell Wright    Por    SF    28
Tony Wroten    Phi    SG    20
Nick Young    Lal    SG    28
Thaddeus Young    Phi    PF    25
Cody Zeller    Cha    C    21
Tyler Zeller    Cle    C    24




And then go into the R command prompt and read the file with read package util. Just a little bit endeavor is required for convenience. If you are not familiar with plot function then read description with a simple command.
>?plot


> nbafile = read.csv(file="/home/hadoop/python2.7/NBA/NBAFILE_Through_web.txt" , header=FALSE, sep="\t")
> names(nbafile) = c('NAME','TEAM','POSITION','AGE')
> plot(nbafile$AGE, xlab="player", ylab="Age" ,col="red", xlim=c(1,500), ylim=c(15,40), type="p", main="Individual Age")


Can you distinguish which graph is generated by R command ?

Answer is right one. It is easy because the left one is the exact same one we made in previous tutorial.