[从头学数学] 第126节 数据的收集、整理与描述

剧情提要：
[机器小伟]在[工程师阿伟]的陪同下进入了筑基初期的修炼，
这次要修炼的目标是[数据的收集、整理与描述]。

正剧开始：

星历2016年03月08日 13:51:31, 银河系厄尔斯星球中华帝国江南行省。
[工程师阿伟]正在和[机器小伟]一起研究[数据的收集、整理与描述]。

<span style="font-size:18px;">//xGlobal, yGlobal是传入自页面的全局地图坐标，不一定需要用上。
function myDraw(xGlobal, yGlobal) {   
	var config = new PlotConfiguration();      
	config.init();  
	
	config.setPreference();  
	var r = 20;
	config.setSector(1,1,1,1);  
	//config.graphPaper2D(0, 0, r);
	//config.axis2D(0, 0,180);  

	var stat = new Statistic();        
    var data = [4, 10, 15, 18, 3];        
    var text = ['新闻', '体育', '动画', '娱乐', '戏曲'];     
        
    
    
    stat.pieChart(data, text); 
	
	
}</span>

<span style="font-size:18px;">function myDraw(xGlobal, yGlobal) {   
	var config = new PlotConfiguration();      
	config.init();  
	
	config.setPreference();  
	var r = 20;
	//config.setSector(1,1,1,1);  
	//config.graphPaper2D(0, 0, r);
	//config.axis2D(0, 0,180);  

	var stat = new Statistic();        
    var data = [4, 10, 15, 18, 3];        
    var text = ['新闻', '体育', '动画', '娱乐', '戏曲'];     
        
    stat.init(data, '节目类型', '人数/人', 1);    
    
    stat.histogram(text, 0, 0);  
	
	
}</span>

<span style="font-size:18px;">function myDraw(xGlobal, yGlobal) {   
	var config = new PlotConfiguration();      
	config.init();  
	
	config.setPreference();  
	var r = 20;
	config.setSector(1,1,1,1);  
	//config.graphPaper2D(0, 0, r);
	//config.axis2D(0, 0,180);  

	var stat = new Statistic();        
    var data = [6, 22, 29, 38, 5];        
    var text = ['新闻', '体育', '动画', '娱乐', '戏曲'];     
        
    
    
    stat.pieChart(data, text); 
	
	
}</span>

<span style="font-size:18px;">function myDraw(xGlobal, yGlobal) {  
	//七大洲面积统计
	var config = new PlotConfiguration();      
	config.init();  
	
	config.setPreference();  
	var r = 20;
	config.setSector(1,1,1,1);  
	//config.graphPaper2D(0, 0, r);
	//config.axis2D(0, 0,180);  

	var stat = new Statistic();        
    var data = [4400, 1000, 3000, 900, 2400, 1800, 1400];        
    var text = ['亚洲','欧洲', '非洲', '大洋洲', '北美洲', '南美洲', '南极洲'];           
    
    
    stat.pieChart(data, text); 
	
	
}</span>

<span style="font-size:18px;">function myDraw(xGlobal, yGlobal) {  
	//奖牌统计
	var config = new PlotConfiguration();      
	config.init();  
	
	config.setPreference();  
	var r = 20;
	//config.setSector(1,1,1,1);  
	//config.graphPaper2D(0, 0, r);
	//config.axis2D(0, 0,180);  

	var stat = new Statistic();        
    var data = [32, 28, 54,50,59,63,100];        
    var text = [];

	for (var i = 23; i < 30; i++) {
		text.push(i.toFixed(0));
	}
    
    stat.init(data, '届数', '奖牌数', 1); 
    stat.histogram(text, 0, 0); 
	
	
}</span>

看到了这两张[人叫板老师]的直方图，小伟忽然觉得呆住了，看来一直以来都图省事，把条形图当成直方图对待了。

可是现在看来，条形图和直方图还是有区别的呀。这样一来，小伟的统计类可要有好几个函数要改名了。

于是，小伟修改了统计类，现在成这样了：

<span style="font-size:18px;">/**
* @usage   统计类
* @author  mw
* @date    2016年01月05日  星期二  10:14:34 
* @param
* @return
*
*/
function Statistic() {
	this.statisticalSample = new Array();
	this.sampleSize = 0;
	this.multi = 1;
	this.xLabel = '';
	this.yLabel = '';

	//初始化
	this.init = function(array, textX, textY, multi) {
		//multi为复式统计中每个数据的项数
		this.statisticalSample = array;
		this.sampleSize = this.statisticalSample.length;
		this.multi = multi ? Math.round(multi) : 1;
		this.xLabel = textX;
		this.yLabel = textY;
	}
	
	this.axis2D = function(x, y, rx, ry, textX, textY) {
		//原点是(x, y), rx, ry分别是x轴的长度，y轴的长度
		//textX, textY分别为x轴和y轴的标注
		plot.save();
		
		plot.setFillStyle('black')
			.setStrokeStyle('black');
			
		plot.beginPath()
			.moveTo(x,y)
			.lineTo(x+rx,y)
			.closePath()
			.stroke();
			
		plot.beginPath()
			.moveTo(x,y-ry)
			.lineTo(x,y)
			.closePath()
			.stroke();		

		
		var r0 = 10;
		
		//x轴箭头
		plot.beginPath()
			.moveTo(x+rx- r0*Math.cos(Math.PI/3), y-r0*Math.sin(Math.PI/3))
			.lineTo(x+rx+r0*Math.sin(Math.PI/3), y)
			.lineTo(x+rx -r0*Math.cos(Math.PI/3), y+r0*Math.sin(Math.PI/3))
			.closePath()
			.fill()
		
		plot.setTextAlign('left')
			.fillText(textX, x+rx, y+25, 40);
		plot.setTextAlign('right')
			.fillText(textY, x-10, y-ry+10, 40);
		
		//y轴箭头
		plot.beginPath()
			.moveTo(x+ r0*Math.sin(Math.PI/3), y-ry+r0*Math.cos(Math.PI/3))
			.lineTo(x, y-ry-r0*Math.sin(Math.PI/3))
			.lineTo(x-r0*Math.sin(Math.PI/3), y-ry+r0*Math.cos(Math.PI/3))
			.closePath()
			.fill()
		
		plot.restore();
	}	
	
	//最大值
	this.max = function() {
		var max = Number.NEGATIVE_INFINITY;
		if (this.multi == 1) {
			for (var i = 0; i < this.sampleSize; i++) {
		
				if (max < this.statisticalSample[i]) {
					max = this.statisticalSample[i];
				}
			}
		}
		else {
			for (var i = 0; i < this.sampleSize; i++) {
				for (var j = 0; j < this.multi; j++) {
		
					if (max < this.statisticalSample[i][j]) {
						max = this.statisticalSample[i][j];
					}
				}
			}
			
		}
		return max;
	}
	
	//最小值
	this.min = function() {
		var min = Number.POSITIVE_INFINITY;
		if (this.multi == 1) {
			for (var i = 0; i < this.sampleSize; i++) {
		
				if (min > this.statisticalSample[i]) {
					min = this.statisticalSample[i];
				}
			}
		}
		else {
			for (var i = 0; i < this.sampleSize; i++) {
				for (var j = 0; j < this.multi; j++) {
		
					if (min > this.statisticalSample[i][j]) {
						min = this.statisticalSample[i][j];
					}
				}
			}			
		}
		return min;
	}
	
	//总计
	this.total = function() {
		if (this.multi == 1) {
			var value  = 0;
			for (var i = 0; i < this.sampleSize; i++) {
				value += this.statisticalSample[i];
			}
			return value;
		}
		else {
			var value = [];
			var tmp = 0;
			for (var j = 0; j < this.multi; j++) {
				tmp = 0;
				for (var i = 0; i < this.sampleSize; i++) {
					tmp += this.statisticalSample[i][j];
				}
				value.push(tmp);
				
			}
			return value;
			
		}
	}
		
	
	//平均数
	this.mean = function() {
		
		var value = this.total();
		if (this.sampleSize != 0) {
			for (var i = 0; i < value.length; i++) {
				value[i] /= this.sampleSize;
			}
		}
			
		return value;
	}
		
	
	//样本数量
	this.size = function() {
		return this.sampleSize;
	}
	
	//直方图
	this.histogram = function(lableArray, xOffset, yOffset) {
		lableArray = lableArray ? lableArray : [];
		var lables = lableArray.length;
		xOffset = xOffset ? xOffset : 0;
		yOffset = yOffset ? yOffset : 0;
		
		var colorArray = ['red', 'orange', '#0088FF', 'green', 'cyan', 'blue', '#FF00FF',
			'#FF8844', 'purple'];
		var colors = colorArray.length;
			
		var height = 380, width = 580;
		
		plot.save()
			.translate(xOffset+60, yOffset+50);

		plot.setLineWidth(2)
			.setTextAlign('right');
			
		var max = Math.ceil(this.max());  
		var min = Math.floor(this.min()); 
		
		var mod = 1;
		while (max > mod * 10) {
			mod *= 10;
		}
		
		if (mod > 10) 
			mod /= 10;
		//最大值的末位为0的近似数，比如最大值25，最合适的近似数为30
		var adjmax = Math.ceil(max/mod)*mod;
		if (adjmax == max) {
			adjmax+=mod;
		}
		
		adjmax /= mod;
		
		var size = this.size();  
		var perH = Math.round((height-100) / adjmax);  
		var perW = Math.round((width-100) / (size+2));
		
		//宽和高度边界
		var wBound = (size+2)*perW, hBound = adjmax*perH;
		plot.setLineWidth(5)
			.strokeRect(0, 0, wBound, hBound);
			
		this.axis2D(0, hBound, wBound+20, hBound+20, this.xLabel, this.yLabel);
			
		plot.setLineWidth(2);
		var count = 0;
		for (var i = hBound; i >-1; i -= hBound / 10) {
			plot.fillText((adjmax*mod/10*count).toFixed(0), -10, i+10, 30);
			count++;
			
			if (i > 0) {
				plot.beginPath()
					.moveTo(0, i)
					.lineTo(wBound, i)
					.closePath()
					.stroke();
			}
		}
		
		for (var i = 0; i < size+2; i++) {
			plot.beginPath()
				.moveTo(i*perW, 0)
				.lineTo(i*perW, hBound)
				.closePath()
				.stroke();
		}
		

		
		var xpos, xpos2;
		
		for (var i = 0; i < size; i++) { 
			var h = -this.statisticalSample[i]/mod*perH;

			xpos = perW*(1+i);
			xpos2 = xpos + 0.5*perW;
			
			//对于值为0的组，就不多加操作了
			if (h<0) {
				plot.setFillStyle(colorArray[i%colors]);  
				plot.fillRect(perW*(1+i), hBound, perW, h); 
				
				
				if (i == 0) {
					xpos += 0.75*perW;
				}
				else {
					xpos += 0.5*perW;
				}
				
				plot.setFillStyle('blue');
				plot.fillText(this.statisticalSample[i].toString(), xpos, h+hBound-5, 100);
			}
			
			plot.setFillStyle('blue');
			plot.setTextAlign('center');
			if (i < lables) {
				plot.fillText(lableArray[i], xpos2-0.5*perW, 
					hBound+30, 100);  

			}
			
			//增加x轴的最后一个标注
			if (i == size-1) {
				var n1 = parseFloat(lableArray[i]);
				var n2 = parseFloat(lableArray[i-1]);
				var n3 = (2*n1-n2);
				var s;
				if (Math.abs(n3-Math.round(n3))<0.001) {
					s = n3.toFixed(0);
				}
				else {
					s = n3.toFixed(2);
				}
				plot.fillText(s, xpos2+0.5*perW, hBound+30, 100); 
			}
			//plot.fillText(this.statisticalSample[i].toFixed(0), xpos2, hBound+40, 100);  
		}  

		
		plot.restore();
	
	}
	
	//条形图
	this.barChart = function(lableArray, xOffset, yOffset) {
		lableArray = lableArray ? lableArray : [];
		var lables = lableArray.length;
		xOffset = xOffset ? xOffset : 0;
		yOffset = yOffset ? yOffset : 0;
		
		var colorArray = ['red', 'orange', '#0088FF', 'green', 'cyan', 'blue', '#FF00FF',
			'#888888', 'black'];
		var colors = colorArray.length;
			
		var height = 380, width = 580;
		
		plot.save()
			.translate(xOffset+60, yOffset+50);

		plot.setLineWidth(2)
			.setTextAlign('right');
			
		var max = Math.ceil(this.max());  
		var min = Math.floor(this.min()); 
		
		var mod = 1;
		while (max > mod * 10) {
			mod *= 10;
		}
		
		if (mod > 10) 
			mod /= 10;
		//最大值的末位为0的近似数，比如最大值25，最合适的近似数为30
		var adjmax = Math.ceil(max/mod)*mod;
		if (adjmax == max) {
			adjmax+=mod;
		}
		
		adjmax /= mod;
		
		var size = this.size();  
		var perH = Math.round((height-100) / adjmax);  
		var perW = Math.round((width-100) / (size*2+1));
		
		//宽和高度边界
		var wBound = (2*size+1)*perW, hBound = adjmax*perH;
		plot.setLineWidth(5)
			.strokeRect(0, 0, wBound, hBound);
			
		this.axis2D(0, hBound, wBound+20, hBound+20, this.xLabel, this.yLabel);
			
		plot.setLineWidth(2);
		var count = 0;
		for (var i = hBound; i >-1; i -= hBound / 10) {
			plot.fillText((adjmax*mod/10*count).toFixed(0), -10, i+10, 30);
			count++;
			
			if (i > 0) {
				plot.beginPath()
					.moveTo(0, i)
					.lineTo(wBound, i)
					.closePath()
					.stroke();
			}
		}
		
		for (var i = 0; i < 2*size+1; i++) {
			plot.beginPath()
				.moveTo(i*perW, 0)
				.lineTo(i*perW, hBound)
				.closePath()
				.stroke();
		}
		

		
		var xpos, xpos2;
		
		for (var i = 0; i < size; i++) { 
			var h = -this.statisticalSample[i]/mod*perH;
			xpos = perW*(1+2*i);
			xpos2 = xpos + 0.5*perW;
			plot.setFillStyle(colorArray[i%colors]);  
			plot.fillRect(perW*(1+2*i), hBound, perW, h); 
				
			if (i == 0) {
				xpos += 0.75*perW;
			}
			else {
				xpos += 0.5*perW;
			}
			
			plot.setFillStyle('blue');
			plot.fillText(this.statisticalSample[i].toString(), xpos, h+hBound-5, 100);
			
			plot.setTextAlign('center');
			if (i < lables) {
				plot.fillText(lableArray[i], xpos2, 
					hBound+30, 100);  

			}
			//plot.fillText(this.statisticalSample[i].toFixed(0), xpos2, hBound+40, 100);  
		}  

		
		plot.restore();
	
	}
		
	//垂直方向条形图
	this.verticalBarChart = function(lableArray, xOffset, yOffset) {
		lableArray = lableArray ? lableArray : [];
		var lables = lableArray.length;
		xOffset = xOffset ? xOffset : 0;
		yOffset = yOffset ? yOffset : 0;
		
		var colorArray = ['red', 'orange', '#0088FF', 'green', 'cyan', 'blue', '#FF00FF',
			'#888888', 'black'];
		var colors = colorArray.length;
			
		var height = 380, width = 580;
		
		plot.save()
			.translate(xOffset+60, yOffset+50);
			
		var max = Math.ceil(this.max());  
		var min = Math.floor(this.min()); 
		
		var mod = 1;
		while (max > mod * 10) {
			mod *= 10;
		}
		

		//最大值的末位为0的近似数，比如最大值25，最合适的近似数为30
		if (mod > 10) 
			mod /= 10;
		var adjmax = Math.ceil(max/mod)*mod;
		if (adjmax == max) {
			adjmax+=mod;
		}
		
		adjmax /= mod;
		
		
		var size = this.size();  
		var perH = Math.round((height-100) / (size*2+1));			  
		var perW = Math.round((width-100) / adjmax);
		
		//宽和高度边界
		var hBound = (2*size+1)*perH, wBound = adjmax*perW;
		plot.setLineWidth(5)
			.strokeRect(0, 0, wBound, hBound);
			
		this.axis2D(0, hBound, wBound+20, hBound+20, this.xLabel, this.yLabel);
			
		plot.setLineWidth(2)
			.setTextAlign('center');
		var count = 0;
		for (var i = 0; i < wBound+1; i += wBound / 10) {
			plot.fillText((adjmax*mod/10*count).toFixed(0), i, hBound+25, 30);
			count++;
			
			if (i > 0) {
				plot.beginPath()
					.moveTo(i, 0)
					.lineTo(i, hBound)
					.closePath()
					.stroke();
			}
		}
		
		for (var i = 0; i < 2*size+1; i++) {
			plot.beginPath()
				.moveTo(0, i*perH)
				.lineTo(wBound, i*perH)
				.closePath()
				.stroke();
		}
		

		
		var ypos, ypos2;
		
		for (var i = 0; i < size; i++) { 
			var xSpan = this.statisticalSample[i]/mod*perW;
			ypos = perH*(1+2*i);
			ypos2 = ypos + 0.5*perH+5;
			plot.setFillStyle(colorArray[i%colors]);  
			plot.fillRect(0, ypos, xSpan, perH); 
			
			plot.setFillStyle('blue');
			plot.fillText(this.statisticalSample[i].toString(), xSpan+20, ypos+20,  100);
			
			plot.setTextAlign('right');
			if (i < lables) {
				plot.fillText(lableArray[i], -10, ypos2, 100);  

			}
			
		}  

		
		plot.restore();
	
	}
	
	//复式条形图
	this.multiBarChart = function(lableArray, lableArray2, xOffset, yOffset) {
		//lableArray是统计数据中横轴的描述
		//lableArray2是所统计的项目的描述
		lableArray = lableArray ? lableArray : [];
		var lables = lableArray.length;
		xOffset = xOffset ? xOffset : 0;
		yOffset = yOffset ? yOffset : 0;
		
		var colorArray = ['red', 'orange', '#0088FF', 'green', 'cyan', 'blue', '#FF00FF',
			'#888888', 'black'];
		var colors = colorArray.length;
			
		var height = 380, width = 580;
		
		plot.save()
			.translate(xOffset+60, yOffset+50);

		plot.setLineWidth(2)
			.setTextAlign('right');
			
		var max = Math.ceil(this.max());  
		var min = Math.floor(this.min()); 
		
		var mod = 1;
		while (max > mod * 10) {
			mod *= 10;
		}
		
		if (mod > 10) 
			mod /= 10;
		//最大值的末位为0的近似数，比如最大值25，最合适的近似数为30
		var adjmax = Math.ceil(max/mod)*mod;
		if (adjmax == max) {
			adjmax+=mod;
		}
		
		adjmax /= mod;
		
		var size = this.size();  
		var perH = Math.round((height-100) / adjmax); 
		var part = size*(this.multi+1)+1;
		var perW = Math.round((width-100) / part);
		
		//宽和高度边界
		var wBound = part*perW, hBound = adjmax*perH;
		plot.setLineWidth(5)
			.strokeRect(0, 0, wBound, hBound);
			
		this.axis2D(0, hBound, wBound+20, hBound+20, this.xLabel, this.yLabel);
			
		plot.setLineWidth(2);
		var count = 0;
		var s = '';
		
		for (var i = hBound; i >-1; i -= hBound / 10) {
			if (max < 100) {
				s = (adjmax*mod/10*count).toFixed(1);
			}
			else {
				s = (adjmax*mod/10*count).toFixed(0);
			}
			plot.fillText(s, -10, i+10, 30);
			count++;
			
			if (i > 0) {
				plot.beginPath()
					.moveTo(0, i)
					.lineTo(wBound, i)
					.closePath()
					.stroke();
			}
		}
		
		for (var i = 0; i < part; i++) {
			plot.beginPath()
				.moveTo(i*perW, 0)
				.lineTo(i*perW, hBound)
				.closePath()
				.stroke();
		}
		

		
		var xpos, xpos2;
		var h;
		
		for (var i = 0; i < size; i++) { 
			for (var j = 0; j < this.multi; j++) {
				xpos = perW*((this.multi+1)*i+j+1);

				plot.setFillStyle(colorArray[j%colors]); 
				h = -this.statisticalSample[i][j]/mod*perH;
				plot.fillRect(xpos, hBound, perW, h); 
				
				plot.setFillStyle('blue');
				if (i > 0) {
					xpos += 0.5*perW
				}
				else {
					xpos += perW;
				}
				plot.fillText(this.statisticalSample[i][j].toString(), xpos, h+hBound-5, 100);

			}
			
			xpos2 = perW*((this.multi+1)*i+1) + 0.5*this.multi*perW;
			plot.setFillStyle('black');
			plot.setTextAlign('center');
			if (i < lables) {
				plot.fillText(lableArray[i], xpos2, 
					hBound+30, 100);  

			}
			//plot.fillText(this.statisticalSample[i].toFixed(0), xpos2, hBound+40, 100);  
		}  

		plot.setTextAlign('left');
		for (var j = 0; j < this.multi; j++) {			
			plot.setFillStyle(colorArray[j%colors]);  
			plot.fillRect(wBound - 50, -20-25*(this.multi-j-1), 20, 12);
			plot.fillText(lableArray2[j], wBound-20, -20-25*(this.multi-j-1)+12, 50);
			
			
		}
		
		plot.restore();
	
	}
	
	//复式折线统计图
	this.multiLineGraph = function(lableArray, lableArray2, xOffset, yOffset) {
		//lableArray是统计数据中横轴的描述
		//lableArray2是所统计的项目的描述
		lableArray = lableArray ? lableArray : [];
		var lables = lableArray.length;
		xOffset = xOffset ? xOffset : 0;
		yOffset = yOffset ? yOffset : 0;
		
		var colorArray = ['red', 'orange', '#0088FF', 'green', 'cyan', 'blue', '#FF00FF',
			'#888888', 'black'];
		var colors = colorArray.length;
			
		var height = 380, width = 580;
		
		plot.save()
			.translate(xOffset+60, yOffset+50);

		plot.setLineWidth(2)
			.setTextAlign('right');
			
		var max = Math.ceil(this.max());  
		var min = Math.floor(this.min()); 
		
		var mod = 1;		

		while (max > mod * 10) {
			mod *= 10;
		}
		
		if (mod > 10) 
			mod /= 10;

		//最大值的末位为0的近似数，比如最大值25，最合适的近似数为30
		var adjmax = Math.ceil(max/mod)*mod;
		if (adjmax == max) {
			adjmax+=mod;
		}
		
		adjmax /= mod;
		
		var size = this.size();  
		var perH = Math.round((height-100) / adjmax); 
		var part = 2 * size;
		var perW = Math.round((width-100) / part);
		
		//宽和高度边界
		var wBound = part*perW, hBound = adjmax*perH;
		plot.setLineWidth(5)
			.strokeRect(0, 0, wBound, hBound);
			
		this.axis2D(0, hBound, wBound+20, hBound+20, this.xLabel, this.yLabel);
			
		plot.setLineWidth(2);
		var count = 0;
		
		//图表方格
		for (var i = hBound; i >-1; i -= hBound / 10) {
			plot.fillText((adjmax*mod/10*count).toFixed(0), -10, i+10, 30);
			count++;
			
			if (i > 0) {
				plot.beginPath()
					.moveTo(0, i)
					.lineTo(wBound, i)
					.closePath()
					.stroke();
			}
		}
		
		for (var i = 0; i < part; i++) {
			plot.beginPath()
				.moveTo(i*perW, 0)
				.lineTo(i*perW, hBound)
				.closePath()
				.stroke();
		}
		

		
		var xpos, xpos2, ypos;
		
		//折线和图例
		for (var j = 0; j < this.multi; j++) {
			
			plot.setStrokeStyle(colorArray[j%colors]);
				
			for (var i = 0; i < size; i++) { 
			
				xpos = perW*(2 * i+1);
				ypos = hBound-this.statisticalSample[i][j]/mod*perH;


				
				//plot.fillRect(xpos, hBound, perW, -this.statisticalSample[i][j]/mod*perH); 
				//

					if (i==0) {
						plot.beginPath()
							.moveTo(xpos, ypos);
					}
					else if (i < size-1) {
						plot.lineTo(xpos, ypos);
					}
					else {
						plot.lineTo(xpos, ypos)
							.moveTo(xpos, ypos)
							.closePath()
							.stroke();
					}
				

			}
			

			//plot.fillText(this.statisticalSample[i].toFixed(0), xpos2, hBound+40, 100);  
		}  
		
		//数据点
		for (var j = 0; j < this.multi; j++) {							
			for (var i = 0; i < size; i++) { 
				plot.setFillStyle(colorArray[j%colors]);
				xpos = perW*(2 * i+1);
				ypos = hBound-this.statisticalSample[i][j]/mod*perH;
				shape.fillCircle(xpos, ypos, 5);
				
				plot.setFillStyle('blue');
				plot.fillText(this.statisticalSample[i][j].toString(), xpos+0.55*perW, ypos-5, 100);
			}
		}
		
		//x轴标签
		for (var i = 0; i < size; i++) { 
			xpos2 = perW*(2 * i+1);
			plot.setFillStyle('black');
			plot.setTextAlign('center');
			if (i < lables) {
				plot.fillText(lableArray[i], xpos2, 
					hBound+30, 100);  

			}
		}
		
		plot.setTextAlign('left');
		for (var j = 0; j < this.multi; j++) {			
			plot.setFillStyle(colorArray[j%colors]);  
			plot.fillRect(wBound - 50, -20-25*(this.multi-j-1), 20, 2);
			plot.fillText(lableArray2[j], wBound-20, -20-25*(this.multi-j-1)+12, 50);
			
			
		}
		
		plot.restore();
	
	}
	
	/**
	* @usage   扇形统计图
	* @author  mw
	* @date    2016年02月19日  星期五  12:33:05 
	* @param
	* @return
	*
	*/
	//扇形统计图 Pie chart
	this.pieChart = function(d, t) {
		var colorArray = ['red', 'orange', '#0088FF', 'green', 'cyan', 'blue', '#FF00FF',
			'#888888', 'black'];
		var colors = colorArray.length;
			
		var data = new Array();
		data = d;
		var text = new Array();
		text = t;
		
		var itemCount = data.length;
		
		var total = 0;
		
		for (var i = 0; i < itemCount; i++) {
			total += data[i];
		}
		
		var percentArray = [];
		
		for (var i = 0; i < itemCount; i++) {
			percentArray.push(data[i]/total);
		}
		
		//document.write(percentArray);
		
		var r = 150;
		
		var sAngle = 0, eAngle = 0;
		var textX, textY;
		//在饼图右侧绘制图例
		var sampX = 200, sampY = -150;
		
		for (var i = 0; i < itemCount; i++) {
			if (i == 0) {
				sAngle = 0;
				eAngle = 0;
				
			}
			
			eAngle -= Math.PI*2*percentArray[i];
			plot.setFillStyle(colorArray[i%colors]);
			
			shape.fillRect(sampX, sampY, 50, 20);
			
			
			plot.beginPath()
				.moveTo(0, 0)
				.arc(0, 0, r, sAngle, eAngle, 1)
				.closePath()
				.fill();
				
			sampY += 30;
				
			sAngle -= Math.PI*2*percentArray[i];
			
		}
		
		sAngle = 0, eAngle = 0;
		sampX = 200, sampY = -150;
		
		//先填充颜色再添加标注文字，是为了不让过小扇形区块的文字被遮盖。
		for (var i = 0; i < itemCount; i++) {
			if (i == 0) {
				sAngle = 0;
				eAngle = 0;
				
			}
			
			eAngle -= Math.PI*2*percentArray[i];
			if (percentArray[i] > 0.05) {
				textX = 0.7*r*Math.cos((sAngle+eAngle)/2);
				textY = 0.6*r*Math.sin((sAngle+eAngle)/2);
			}
			else {
				textX = 1.2*r*Math.cos((sAngle+eAngle)/2);
				textY = 1.2*r*Math.sin((sAngle+eAngle)/2);
			}
						
			var s1 = text[i];
			var s2 = (percentArray[i]*100).toFixed(2)+'%';
			
			var measure = s1.length > s2.length ? plot.measureText(s1) : plot.measureText(s2);
			
			plot.setFillStyle('black')
				.fillText(s1, textX-measure/2, textY, measure)
				.fillText(s2, textX-measure/2, textY+20, measure);
				
			plot.fillText(text[i], sampX+30, sampY+5, 100);
			
			sampY += 30;
				
			sAngle -= Math.PI*2*percentArray[i];
			
			//document.write(sAngle, '-->', eAngle, '-->');
		}
		
	}

}
</span>

原来的histogram名字只能让出来了，以前称作histogram的，都改成了bargraph。

<span style="font-size:18px;">function myDraw(xGlobal, yGlobal) {  
	//费尔兹奖统计
	var config = new PlotConfiguration();      
	config.init();  
	
	config.setPreference();  
	var r = 20;
	//config.setSector(1,1,1,1);  
	//config.graphPaper2D(0, 0, r);
	//config.axis2D(0, 0,180);  

	var stat = new Statistic();        
    var rawdata = [
	29, 39,35,33,39,28,33,35,
	31,31,37,32,38,36,31,39,
	32,38,37,34,29,34,38,32,
	35,36,33,29,32,35,36,37,
	39,38,40,38,37,39,38,34,
	33,40,36,36,37,40,31,38,
	38,40,40,37];  

	var data = [];
    var text = [];
	var len = rawdata.length;
	
	//初始化各组频数
	//0到60岁，5岁一组
	for (var i = 0; i < 60; i+=5) {
		data.push(0);
		text.push(i.toFixed(0));
	}	
	
	//频数统计
	var group;
	for (var i = 0; i < len; i++) {
		group = Math.floor(rawdata[i]/5);
		data[group]+=1;
	}
    
    stat.init(data, '年龄', '人数', 1); 
    stat.histogram(text, 0, 0); 
	
	
}
</span>

<span style="font-size:18px;">function myDraw(xGlobal, yGlobal) {  
	
	var config = new PlotConfiguration();      
	config.init();  
	
	config.setPreference();  
	var r = 20;
	//config.setSector(1,1,1,1);  
	//config.graphPaper2D(0, 0, r);
	//config.axis2D(0, 0,180);  

	var stat = new Statistic();        
    var rawdata = [
		28,62,54,29,32,47,68,27,55,43,
		36,79,46,54,25,82,16,39,32,64,
		61,59,67,56,45,74,49,36,39,52,
		85,65,48,58,59,64,91,67,54,57,
		68,54,71,26,59,47,58,52,52,70
	];  

	var data = [];
    var text = [];
	var len = rawdata.length;
	
	//初始化各组频数
	//0-100，隔5一组
	var gap = 10;
	var start = 10;
	var end = 100;
	for (var i = start; i < end; i+=gap) {
		data.push(0);
		text.push(i.toFixed(0));
	}	
	
	//频数统计
	var group;
	for (var i = 0; i < len; i++) {
		group = Math.floor((rawdata[i]-start)/gap);
		data[group]+=1;
	}
    
    stat.init(data, '西红柿个数', '株数', 1); 
    stat.histogram(text, 0, 0); 
	
	
}</span>

<span style="font-size:18px;">function myDraw(xGlobal, yGlobal) {  
	//2009年各省市城市园林绿地面积
	var config = new PlotConfiguration();      
	config.init();  
	
	config.setPreference();  
	var r = 20;
	//config.setSector(1,1,1,1);  
	//config.graphPaper2D(0, 0, r);
	//config.axis2D(0, 0,180);  

	var stat = new Statistic();        
    var rawdata = [
		61695,116929,54884,22372,
		17369,214989,42940,2174,
		60923,74362,401604,23426,
		27973,67269,57812,14702,
		29585,41330,48947,3290,
		84145,37596,32451,14525,
		34755,146993,66817,36359,
		64234,62947,27771
	];  

	var data = [];
    var text = [];
	var len = rawdata.length;
	
	//初始化各组频数
	//0-100，隔5一组
	var gap = 50000;
	var start = 0;
	var end = 500000;
	for (var i = start; i < end; i+=gap) {
		data.push(0);
		text.push((i/10000).toFixed(0));
	}	
	
	//频数统计
	var group;
	for (var i = 0; i < len; i++) {
		group = Math.floor((rawdata[i]-start)/gap);
		data[group]+=1;
	}
    
    stat.init(data, '面积', '地区数', 1); 
    stat.histogram(text, 0, 0); 
	
	
}</span>

本节到此结束，欲知后事如何，请看下回分解。

[注]:统计类Statisic参见[从头学数学] 第105节 整理与复习--统计与概率。