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Data:
€38327240.00 €38147255.00 €37964735.00 €37587020.00 €41323610.00 €41125880.00 €38327240.00 €36466550.00 €36646535.00 €36646535.00 €36846800.00 €37206770.00 €37767005.00 €37767005.00 €37407035.00 €36466550.00 €41323610.00 €42063830.00 €40945895.00 €38327240.00 €39447710.00 €37767005.00 €38524970.00 €38887475.00 €39265190.00 €38327240.00 €38524970.00 €37206770.00 €41323610.00 €42624065.00 €41506130.00 €39447710.00 €41686115.00 €39265190.00 €41506130.00 €41323610.00 €41883845.00 €39825425.00 €42063830.00 €41883845.00 €45242720.00 €44484755.00 €41506130.00 €40005410.00 €42063830.00 €39265190.00 €41323610.00 €41686115.00 €42444080.00 €40765910.00 €41686115.00 €42246350.00 €44304770.00 €42624065.00 €40385660.00 €37964735.00 €40205675.00 €34045625.00 €37026785.00 €38704955.00 €40385660.00 €37964735.00 €37964735.00 €37964735.00 €39265190.00 €37407035.00 €34968365.00 €32927690.00 €34408130.00 €28628330.00 €32169725.00 €34228145.00 €34605860.00 €32547440.00 €32727425.00 €32169725.00 €34045625.00 €32727425.00 €30129050.00 €28250615.00 €31426970.00 €24529235.00 €29008580.00 €31049255.00 €31049255.00 €28628330.00 €26389925.00 €26209940.00 €28250615.00 €26389925.00 €22851065.00 €20412395.00 €23031050.00 €16873535.00 €22470815.00 €25449440.00 €26389925.00 €24331505.00 €21730595.00 €23591285.00 €24331505.00 €23771270.00 €18171455.00 €15573080.00 €17431235.00 €11833955.00 €17613755.00 €19672175.00 €21350345.00 €18551705.00 €15933050.00 €17431235.00 €18171455.00 €16691015.00 €11093735.00 €8655065.00 €10893470.00 €4735955.00 €11453705.00 €15573080.00
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Colour
grey
white
blue
red
black
brown
yellow
Bins are closed on right side
FALSE
TRUE
Scale of data
Unknown
Interval/Ratio
3-point Likert
4-point Likert
5-point Likert
6-point Likert
7-point Likert
8-point Likert
9-point Likert
10-point Likert
11-point Likert
Chart options
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Label x-axis:
R Code
par1 <- as.numeric(par1) if (par3 == 'TRUE') par3 <- TRUE if (par3 == 'FALSE') par3 <- FALSE if (par4 == 'Unknown') par1 <- as.numeric(par1) if (par4 == 'Interval/Ratio') par1 <- as.numeric(par1) if (par4 == '3-point Likert') par1 <- c(1:3 - 0.5, 3.5) if (par4 == '4-point Likert') par1 <- c(1:4 - 0.5, 4.5) if (par4 == '5-point Likert') par1 <- c(1:5 - 0.5, 5.5) if (par4 == '6-point Likert') par1 <- c(1:6 - 0.5, 6.5) if (par4 == '7-point Likert') par1 <- c(1:7 - 0.5, 7.5) if (par4 == '8-point Likert') par1 <- c(1:8 - 0.5, 8.5) if (par4 == '9-point Likert') par1 <- c(1:9 - 0.5, 9.5) if (par4 == '10-point Likert') par1 <- c(1:10 - 0.5, 10.5) bitmap(file='test1.png') if(is.numeric(x[1])) { if (is.na(par1)) { myhist<-hist(x,col=par2,main=main,xlab=xlab,right=par3) } else { if (par1 < 0) par1 <- 3 if (par1 > 50) par1 <- 50 myhist<-hist(x,breaks=par1,col=par2,main=main,xlab=xlab,right=par3) } } else { barplot(mytab <- sort(table(x),T),col=par2,main='Frequency Plot',xlab=xlab,ylab='Absolute Frequency') } dev.off() if(is.numeric(x[1])) { myhist n <- length(x) load(file='createtable') a<-table.start() a<-table.row.start(a) a<-table.element(a,'Frequency Table (Histogram)',6,TRUE) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'Bins',header=TRUE) a<-table.element(a,'Midpoint',header=TRUE) a<-table.element(a,'Abs. Frequency',header=TRUE) a<-table.element(a,'Rel. Frequency',header=TRUE) a<-table.element(a,'Cumul. Rel. Freq.',header=TRUE) a<-table.element(a,'Density',header=TRUE) a<-table.row.end(a) crf <- 0 if (par3 == FALSE) mybracket <- '[' else mybracket <- ']' mynumrows <- (length(myhist$breaks)-1) for (i in 1:mynumrows) { a<-table.row.start(a) if (i == 1) dum <- paste('[',myhist$breaks[i],sep='') else dum <- paste(mybracket,myhist$breaks[i],sep='') dum <- paste(dum,myhist$breaks[i+1],sep=',') if (i==mynumrows) dum <- paste(dum,']',sep='') else dum <- paste(dum,mybracket,sep='') a<-table.element(a,dum,header=TRUE) a<-table.element(a,myhist$mids[i]) a<-table.element(a,myhist$counts[i]) rf <- myhist$counts[i]/n crf <- crf + rf a<-table.element(a,round(rf,6)) a<-table.element(a,round(crf,6)) a<-table.element(a,round(myhist$density[i],6)) a<-table.row.end(a) } a<-table.end(a) table.save(a,file='mytable.tab') } else { mytab reltab <- mytab / sum(mytab) n <- length(mytab) load(file='createtable') a<-table.start() a<-table.row.start(a) a<-table.element(a,'Frequency Table (Categorical Data)',3,TRUE) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'Category',header=TRUE) a<-table.element(a,'Abs. Frequency',header=TRUE) a<-table.element(a,'Rel. Frequency',header=TRUE) a<-table.row.end(a) for (i in 1:n) { a<-table.row.start(a) a<-table.element(a,labels(mytab)$x[i],header=TRUE) a<-table.element(a,mytab[i]) a<-table.element(a,round(reltab[i],4)) a<-table.row.end(a) } a<-table.end(a) table.save(a,file='mytable1.tab') }
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Computing time
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R Server
Big Analytics Cloud Computing Center
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