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Data X:
4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4.8841 5.0625 5.0625 6.0025 6.25 6.25 6.9696 7.5625 8.5849 9 10.0489 10.5625 11.4921 12.25 12.25 13.3225 14.0625 14.0625 15.21 16 16 16 16 16 16 16 16 16 16 16 16 17.4724 18.0625 18.0625 15.7609 11.6964 7.5625 5.3361 4 2.7556 1.7161 1.1881 1 1 1 1
Data Y:
1.96 1.44 1 2.89 5.76 4 4.41 4 3.24 7.29 5.29 3.61 4 5.29 7.84 5.76 5.29 7.29 7.29 8.41 9 4.84 5.29 7.84 7.84 7.84 4.84 6.76 7.84 6.25 5.76 5.29 3.61 2.89 4 4.41 2.89 3.24 3.24 3.24 1.69 1.69 1.69 1.44 1.96 4.84 8.41 9.61 12.25 12.96 19.36 16.81 26.01 33.64 34.81 29.16 30.25 23.04 10.24 7.29 4.41 3.61 0.36 0.49 0.04 1 2.89 0.49 1
Name of dataseries x
Source of x
Description of x
Name of dataseries y
Source of y
Description of y
Chart options
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Label x-axis:
R Code
bitmap(file='test1.png') op <- par(mfrow=c(2,2)) plot(x,type='b',main='Plot of x',xlab=xlab,ylab=ylab) plot(y,type='b',main='Plot of y',xlab=xlab,ylab=ylab) hist(x) hist(y) dev.off() load(file='createtable') a<-table.start() a<-table.row.start(a) a<-table.element(a,'Bivariate Dataseries',2,TRUE) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'Name of dataseries x',header=TRUE) a<-table.element(a,par1) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'Source of x',header=TRUE) a<-table.element(a,par2) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'Description of x',header=TRUE) a<-table.element(a,par3) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'Name of dataseries y',header=TRUE) a<-table.element(a,par4) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'Source of y',header=TRUE) a<-table.element(a,par5) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'Description of y',header=TRUE) a<-table.element(a,par6) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'Number of observations',header=TRUE) a<-table.element(a,length(x)) a<-table.row.end(a) a<-table.end(a) table.save(a,file='mytable.tab')
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Big Analytics Cloud Computing Center
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