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Data:
20.02 21.40 21.40 21.46 21.46 21.44 21.22 21.46 21.62 21.68 20.98 20.12 19.90 20.98 21.10 20.66 21.38 21.30 21.60 21.50 21.56 21.66 21.60 21.86 21.74 21.74 21.78 21.54 21.70 21.58 21.40 21.52 21.82 23.00 23.40 23.96 24.24 24.50 24.54 24.58 24.38 23.82 24.00 23.96 24.00 24.00 23.30 22.94 23.28 23.38 23.20 23.10 23.14 23.08 23.36 23.76 23.36 23.34 23.78 24.08 23.42 23.36 23.00 22.96 22.92 23.00 23.54 24.18 24.40 24.22 24.40 24.38 23.78 24.38 24.56 24.58 24.18 24.82 25.58 25.12 25.64 25.20 25.28 25.90 26.00 25.88 25.88 25.64 25.86 25.94 25.84 24.98 23.76 23.46 22.58 22.40 22.34 20.76 21.52 21.04 21.68 22.64 23.04 22.00 22.58 22.34 22.88 22.52 21.90 21.60 20.92 20.78 20.58 19.09 19.16 20.20 19.86 19.79 20.10 19.75 19.60 19.96 19.86 19.74 19.84 20.40 20.88 21.20 21.28 20.64 20.96 21.14 21.06 20.94 21.36 20.52 20.16 19.71 19.89 20.46 20.16 19.84 20.08 20.16 20.24 20.24 20.00 19.81 20.08 19.93 19.87 20.06 19.59 19.50 19.41 19.24 19.62 19.83 20.22 20.68 21.38 21.26 21.52 21.64 21.36 22.56 22.28 22.74 22.22 22.48 22.70 22.94 23.02 22.90 22.92 22.42 22.52 22.06 22.34 22.48 22.96 23.00 23.06 22.90 22.98 23.14 22.92 22.96 23.06 23.48 23.50 23.34 23.54 23.16 23.18 23.46 23.48 23.48 24.06 24.06 24.64 24.54 24.72 23.96 24.54 24.66 24.90 25.06 24.70 24.72 24.78 24.64 24.54 24.32 24.60 24.38 24.26 24.34 24.24 24.96 24.94 24.98 24.70 24.34 24.48 24.68 24.04 24.02 24.22 24.12 24.18 24.22 23.46 22.80 23.30 22.70 22.76 23.32 23.44 23.46 23.18 23.32 23.14 24.32 25.40 25.34 25.74 25.94 25.60 25.56 25.54 25.62 25.78 25.52 25.80 25.94 25.90 24.46 23.72 24.00 24.06 24.44 25.34 25.30 25.00 25.18 25.02 25.36 25.44 25.74 25.56 25.94 26.82 26.32 26.76 26.50 26.92 27.12 27.44 27.52 28.34 29.40 28.52 28.52 28.22 28.16 28.26 27.84 27.36 27.92 27.36 27.60 27.81 27.40 27.58 26.36 25.87 25.36 26.11 25.40 25.40 25.67 26.66 26.16 26.01 26.07 24.73 25.50 25.34 25.79 26.17 26.19 26.63 26.49 26.47 26.84 26.66 26.91 26.62 26.92 27.60 27.52 27.58 28.30 28.25 28.15 27.92 28.28 27.97 27.62 27.51 28.05 27.31 27.60 28.07 29.90 29.52 29.71 30.05 30.30 30.80 31.03 30.22 30.82 31.35 30.93 30.84 30.90 30.63 30.78 31.14 30.90 31.81 31.52 31.27 31.18 31.36 31.45 31.24 31.72 31.76 31.58 31.76 30.56 29.90 30.54 31.05 30.94 31.26 31.92 32.70 32.59 32.50 32.63 32.16 31.60 31.43 31.32 31.01 31.44 32.25 32.01 32.90 34.59 34.40 34.71 34.84 34.02 33.79 34.92 35.30 35.25 35.64 35.39 35.99 35.72 36.36 34.62 34.34 33.18 33.05 33.20 33.60 33.33 32.90 32.64 31.49 32.02 32.08 31.20 30.16 30.58 30.60 29.96 28.06 27.96 29.34 30.28 31.62 32.58 32.74 32.95 31.89 32.80 33.22 33.62 34.34 33.84 34.02 33.70 33.05 32.42 32.50 32.15 32.20 31.89 31.23 31.56 32.66 32.30 32.51 33.32 32.26 33.62 34.00 33.52 33.80 34.50 35.18 35.07 34.91 35.57 35.60 35.77 35.78 35.25 36.31 35.28 36.09 35.00 34.75 33.65 34.36 34.20 34.65 35.32 36.53 35.31 34.40 33.62 34.40 34.30 34.87 34.33 34.03 33.05 32.16 31.27 31.41 30.44 30.78 29.64 29.57 28.38 29.51 30.76 30.64 30.32 31.18 31.62 31.99 31.50 30.75 31.07 31.11 31.51 31.51 31.45 30.91 30.52 31.40 30.76 30.74 30.24 32.97 32.88 32.88 33.63 33.72 34.00 33.74 32.85 31.93 31.66 31.40 31.13 30.85 30.71 30.60 29.55 28.29 28.47 27.71 26.30 26.70 26.30 27.90 28.73 29.14 30.65 29.80 30.42 31.48 31.67 30.60 31.59 31.31 30.98 30.70 31.88 32.43 30.31 29.64 30.18 31.21 31.82 32.24 32.01 32.18 33.21 33.57 32.66 33.79 33.81 33.82 34.88 33.45 32.65 31.60 32.02 32.90 32.68 33.09 31.03 31.80 31.36 30.31 31.31 31.84 32.47 32.21 32.96 32.85 32.68 32.01 32.35 33.12 32.61 32.58 33.00 33.30 32.71 33.11 33.44 33.79 33.93 33.84 34.20 31.75 31.12 30.55 31.84 33.55 34.31 35.25 35.09 34.70 34.26 34.75 33.30 34.14 35.06 35.03 33.96 34.83 35.84 35.53 37.10 35.85 34.77 33.95 34.20 34.30 35.09 35.16 34.96 36.02 35.97 36.41 35.84 35.33 35.33 35.05 35.26 34.48 34.96 34.98 33.79 33.14 33.34 33.31 32.27 32.07 31.37 31.17 31.40 29.90 29.90 28.98 28.84 30.04 29.56 30.59 29.71 28.73 29.25 28.12 27.81 29.04 29.00 29.41 29.50 29.49 27.89 28.77 28.70 28.82 28.79 28.94 26.89 24.98 25.52 26.39 26.52 25.00 25.85 25.70 25.70 26.36 26.34 26.22 25.47 25.40 28.41 28.90 28.76 29.15 29.99 29.57 29.97 29.55 29.29 28.68 27.13 25.68 27.04 25.58 25.57 25.60 26.67 25.64 24.96 23.14 22.12 24.59 24.70 23.21 22.68 22.41 21.46 19.71 21.59 20.93 20.32 20.09 18.20 17.52 16.47 16.80 16.03 17.82 17.71 16.77 15.16 14.83 14.57 14.98 13.76 12.87 12.59 11.25 11.60 12.50 13.80 13.96 13.72 15.30 14.69 13.17 13.28 14.76 14.16 13.43 14.14 14.34 13.14 13.27 12.01 10.27 10.35 11.55 11.89 12.79 13.89 14.11 12.55 12.59 12.73 13.23 12.00 13.07 13.55 13.92 13.80 12.92 13.78 14.06 14.18 13.61 13.65 13.00 12.90 13.05 13.53 14.20 14.07 14.88 15.22 15.94 15.34 15.14 14.74 15.13 14.60 14.15 13.21 13.22 12.50 12.42 13.17 13.05 13.26 14.12 14.10 14.55 14.42 14.61 13.90 14.52 15.25 14.91 15.75 15.49 15.55 15.95 14.38 14.68 15.16 14.25 14.23 13.93 13.50 13.10 12.68 12.48 12.60 12.05 11.96 11.89 13.19 12.13 12.12 12.08 12.98 13.14 13.24 12.96 13.13 12.94 12.88 13.27 13.61 14.19 14.30 14.10 14.42 14.25 13.26 13.91 13.43 14.35 14.95 14.09 13.83 14.05 15.55 16.50 16.51 16.40 16.92 15.68 16.51 16.85 16.68 17.07 16.85 15.53 15.68 14.98 16.12 16.72 17.53 17.54 17.37 16.48 16.01 14.98 15.17 15.69 16.18 16.28 16.80 16.15 16.40 16.33 16.09 16.52 16.34 16.88 17.56 17.90 17.33 16.63 17.00 16.95 16.85 17.45 18.08 18.25 17.28 16.51 15.61 15.33 15.89 15.25 15.38 16.09 15.88 15.90 16.15 16.17 16.57 16.10 15.66 15.19 15.64 14.79 15.02 14.60 15.00 15.36 16.19 16.28 16.24 16.62 16.80 16.52 16.93 17.12 17.23 16.76 16.90 17.45 18.32 18.56 18.66 18.52 19.25 18.78 18.50 18.20 18.31 19.50 19.07 18.01 18.26 18.56 18.83 18.96 19.19 19.03 18.52 18.55 18.88 18.89 18.30 17.80 18.02 18.23 18.72 19.29 19.12 19.15 19.57 19.53 19.76 20.33 20.42 20.26 19.73 19.76 19.58 19.47 19.50 20.26 20.36 20.46 20.21 19.51 19.49 20.59 20.40 21.06 21.16 21.72 21.80 22.34 22.23 22.39 22.56 22.40 22.10 21.10 21.95 21.68 21.26 20.80 21.50 20.75 21.28 21.00 21.95 21.72 21.67 23.06 22.85 23.32 23.06 23.02 23.82 24.21 24.32 23.71 23.61 24.09 23.36 23.84 22.89 22.99 22.67 23.73 24.08 23.64 23.58 23.26 23.00 23.38 23.21 23.63 23.88 23.83 24.02 23.39 23.45 23.74 23.68 23.71 23.75 23.83 24.12 23.58 23.40 24.90 25.06 25.10 24.92 25.46 25.89 25.39 25.38 25.25 24.88 25.00 25.00 24.07 23.60 23.18 23.25 23.04 22.77 22.25 22.41 22.50 22.91 22.88 21.69 21.19 21.56 22.00 22.13 22.27 22.30 21.94 22.40 22.77 22.90 23.03 23.05 22.41 22.26 21.90 22.01 22.62 22.76 23.40 23.63 24.05 23.82 23.71 23.95 23.61 23.98 23.56 23.99 24.33 24.48 24.31 24.38 24.63 25.54 25.75 25.73 25.85 25.78 25.86 26.86 27.36 27.38 26.58 27.65 27.73 27.18 27.32 27.30 26.90 26.70 26.75 26.41 26.29 27.51 27.91 27.70 27.28 28.25 27.62 27.30 25.94 24.99 25.50 24.42 26.58 25.84 26.76 26.74 26.68 25.55 26.40 25.19 23.94 24.20 24.20 23.07 24.07 25.02 24.65 24.68 24.63 24.49 25.05 24.31 23.90 23.68 24.50 25.22 25.48 26.00 26.07 26.06 26.22 26.70 27.20 26.77 26.11 25.43 24.99 25.51 24.00 23.86 22.96 23.41 23.17 24.12 23.87 24.27 24.40 24.16 25.15 25.09 24.60 24.33 24.14 24.36 25.40 26.15 26.77 26.94 26.33 26.24 26.23 25.88 27.00 26.91 27.15 27.78 28.73 28.83 28.68 27.56 27.15 27.41 27.47 28.76 28.47 27.94 27.23 27.01 26.15 26.11 27.20 27.36 27.33 27.43 28.92 29.45 29.01 29.25 29.14 29.64 30.40 30.62 31.25 31.75 31.30 30.70 31.03 31.46 31.28 31.03 30.95 31.17 31.29 31.91 32.10 31.71 31.90 32.02 32.65 33.77 33.51 34.26 34.21 34.13 34.73 34.73 34.57 34.80 33.98 34.40 34.21 34.61 35.25 35.23 35.00 34.52 33.82 34.35 34.81 34.96 36.69 36.42 36.44 37.41 36.40 36.15 35.78 36.95 36.14 36.36 37.31 37.58 38.00 37.23 37.00 37.87 37.70 36.17 36.56 37.70 38.77 39.02 39.88 39.56 38.52 37.20 38.58 39.41 39.08 38.81 38.73 38.70 39.23 39.82 39.97 40.37 39.54 39.21 39.07 39.78 39.40 38.92
Sample Range:
(leave blank to include all observations)
From:
To:
Number of bins
(leave empty to use default)
(?)
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
Title:
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 { plot(mytab <- table(x),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,hyperlink('http://www.xycoon.com/histogram.htm','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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Raw Input
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Raw Output
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Computing time
0 seconds
R Server
Big Analytics Cloud Computing Center
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