1004 lines
51 KiB
HTML
1004 lines
51 KiB
HTML
<html>
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<head>
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<meta charset="utf-8">
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<script src="../dist/echarts.js"></script>
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<script src="../map/js/china.js"></script>
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</head>
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<body>
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<style>
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html, body {
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width: 100%;
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height: 100%;
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}
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</style>
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<div id="main"></div>
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<script>
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function makeChart () {
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var main = document.getElementById('main');
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var div = document.createElement('div');
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var width = document.body.clientWidth;
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div.style.cssText = width + 'px; height:400px';
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main.appendChild(div);
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return echarts.init(div);
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}
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function makeLine () {
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var chart = makeChart();
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var xAxisData = [];
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var data1 = [];
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for (var i = 0; i < 5; i++) {
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xAxisData[i] = [];
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data1[i] = [];
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for (var j = 0; j < 10; j++) {
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xAxisData[i].push('类目' + j);
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data1[i].push((Math.random() * 5).toFixed(2));
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}
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}
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chart.setOption({
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tooltip : {
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trigger: 'axis'
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},
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legend: {
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data:['邮件营销','联盟广告','视频广告','直接访问','搜索引擎']
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},
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xAxis : [
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{
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type : 'category',
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boundaryGap : false,
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data : ['周一','周二','周三','周四','周五','周六','周日']
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}
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],
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yAxis : [
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{
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type : 'value'
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}
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],
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series : [
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{
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name:'邮件营销',
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type:'line',
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stack: '总量',
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data:[120, 132, 101, 134, 90, 230, 210]
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},
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{
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name:'联盟广告',
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type:'line',
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stack: '总量',
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symbol: 'diamond',
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data:[220, 182, 191, 234, 290, 330, 310]
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},
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{
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name:'视频广告',
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type:'line',
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stack: '总量',
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symbol: 'square',
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data:[150, 232, 201, 154, 190, 330, 410]
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},
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{
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name:'直接访问',
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type:'line',
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stack: '总量',
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symbol: 'triangle',
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data:[320, 332, 301, 334, 390, 330, 320]
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},
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{
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name:'搜索引擎',
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type:'line',
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stack: '总量',
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symbol: 'triangle',
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symbolRotate: 180,
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data:[820, 932, 901, 934, 1290, 1330, 1320]
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}
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]
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});
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}
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function makeBar () {
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var chart = makeChart();
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var xAxisData = [];
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var data1 = [];
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for (var i = 0; i < 5; i++) {
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xAxisData[i] = [];
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data1[i] = [];
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for (var j = 0; j < 10; j++) {
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xAxisData[i].push('类目' + j);
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data1[i].push((Math.random() * 5).toFixed(2));
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}
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}
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chart.setOption({
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tooltip : {
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trigger: 'axis'
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},
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legend: {
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data:['邮件营销','联盟广告','视频广告','直接访问','搜索引擎']
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},
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xAxis : [
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{
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type : 'category',
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data : ['周一','周二','周三','周四','周五','周六','周日']
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}
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],
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yAxis : [
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{
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type : 'value'
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}
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],
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series : [
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{
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name:'邮件营销',
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type:'bar',
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stack: '总量',
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data:[120, 132, 101, 134, 90, 230, 210]
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},
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{
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name:'联盟广告',
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type:'bar',
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stack: '总量',
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data:[220, 182, 191, 234, 290, 330, 310]
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},
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{
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name:'视频广告',
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type:'bar',
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stack: '总量',
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data:[150, 232, 201, 154, 190, 330, 410]
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},
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{
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name:'直接访问',
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type:'bar',
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stack: '总量',
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data:[320, 332, 301, 334, 390, 330, 320]
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},
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{
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name:'搜索引擎',
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type:'bar',
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stack: '总量',
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data:[820, 932, 901, 934, 1290, 1330, 1320]
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}
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]
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});
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}
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function makeScatter() {
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var chart = makeChart();
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var data1 = [];
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for (var j = 0; j < 20; j++) {
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data1.push([
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(Math.random() * 5).toFixed(2),
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(Math.random() * 5).toFixed(2),
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(Math.random() * 5).toFixed(2)
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]);
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}
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chart.setOption({
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title : {
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text: '男性女性身高体重分布',
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subtext: '抽样调查来自: Heinz 2003'
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},
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tooltip : {
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trigger: 'axis',
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showDelay : 0,
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formatter : function (params) {
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if (params.value && params.value.length > 1) {
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return params.seriesName + ' :<br/>'
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+ params.value[0] + 'cm '
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+ params.value[1] + 'kg ';
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}
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else {
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return params.seriesName + ' :<br/>'
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+ params.name + ' : '
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+ params.value + 'kg ';
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}
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},
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axisPointer:{
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show: true,
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type : 'cross',
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lineStyle: {
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type : 'dashed',
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width : 1
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}
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}
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},
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legend: {
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data:['女性','男性']
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},
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toolbox: {
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show : true,
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feature : {
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mark : {show: true},
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dataZoom : {show: true},
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dataView : {show: true, readOnly: false},
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restore : {show: true},
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saveAsImage : {show: true}
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}
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},
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xAxis : [
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{
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type : 'value',
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scale:true,
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axisLabel : {
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formatter: '{value} cm'
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}
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}
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],
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yAxis : [
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{
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type : 'value',
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scale:true,
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axisLabel : {
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formatter: '{value} kg'
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}
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}
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],
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series : [
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{
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name:'女性',
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type:'scatter',
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data: [[161.2, 51.6], [167.5, 59.0], [159.5, 49.2], [157.0, 63.0], [155.8, 53.6],
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[170.0, 59.0], [159.1, 47.6], [166.0, 69.8], [176.2, 66.8], [160.2, 75.2],
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[172.5, 55.2], [170.9, 54.2], [172.9, 62.5], [153.4, 42.0], [160.0, 50.0],
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[147.2, 49.8], [168.2, 49.2], [175.0, 73.2], [157.0, 47.8], [167.6, 68.8],
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[159.5, 50.6], [175.0, 82.5], [166.8, 57.2], [176.5, 87.8], [170.2, 72.8],
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[174.0, 54.5], [173.0, 59.8], [179.9, 67.3], [170.5, 67.8], [160.0, 47.0],
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[154.4, 46.2], [162.0, 55.0], [176.5, 83.0], [160.0, 54.4], [152.0, 45.8],
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[162.1, 53.6], [170.0, 73.2], [160.2, 52.1], [161.3, 67.9], [166.4, 56.6],
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[168.9, 62.3], [163.8, 58.5], [167.6, 54.5], [160.0, 50.2], [161.3, 60.3],
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[167.6, 58.3], [165.1, 56.2], [160.0, 50.2], [170.0, 72.9], [157.5, 59.8],
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[167.6, 61.0], [160.7, 69.1], [163.2, 55.9], [152.4, 46.5], [157.5, 54.3],
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[168.3, 54.8], [180.3, 60.7], [165.5, 60.0], [165.0, 62.0], [164.5, 60.3],
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[156.0, 52.7], [160.0, 74.3], [163.0, 62.0], [165.7, 73.1], [161.0, 80.0],
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[162.0, 54.7], [166.0, 53.2], [174.0, 75.7], [172.7, 61.1], [167.6, 55.7],
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[151.1, 48.7], [164.5, 52.3], [163.5, 50.0], [152.0, 59.3], [169.0, 62.5],
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[164.0, 55.7], [161.2, 54.8], [155.0, 45.9], [170.0, 70.6], [176.2, 67.2],
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[170.0, 69.4], [162.5, 58.2], [170.3, 64.8], [164.1, 71.6], [169.5, 52.8],
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[163.2, 59.8], [154.5, 49.0], [159.8, 50.0], [173.2, 69.2], [170.0, 55.9],
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[161.4, 63.4], [169.0, 58.2], [166.2, 58.6], [159.4, 45.7], [162.5, 52.2],
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[159.0, 48.6], [162.8, 57.8], [159.0, 55.6], [179.8, 66.8], [162.9, 59.4],
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[161.0, 53.6], [151.1, 73.2], [168.2, 53.4], [168.9, 69.0], [173.2, 58.4],
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[171.8, 56.2], [178.0, 70.6], [164.3, 59.8], [163.0, 72.0], [168.5, 65.2],
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[166.8, 56.6], [172.7, 105.2], [163.5, 51.8], [169.4, 63.4], [167.8, 59.0],
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[159.5, 47.6], [167.6, 63.0], [161.2, 55.2], [160.0, 45.0], [163.2, 54.0],
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[162.2, 50.2], [161.3, 60.2], [149.5, 44.8], [157.5, 58.8], [163.2, 56.4],
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[172.7, 62.0], [155.0, 49.2], [156.5, 67.2], [164.0, 53.8], [160.9, 54.4],
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[162.8, 58.0], [167.0, 59.8], [160.0, 54.8], [160.0, 43.2], [168.9, 60.5],
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[158.2, 46.4], [156.0, 64.4], [160.0, 48.8], [167.1, 62.2], [158.0, 55.5],
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[167.6, 57.8], [156.0, 54.6], [162.1, 59.2], [173.4, 52.7], [159.8, 53.2],
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[170.5, 64.5], [159.2, 51.8], [157.5, 56.0], [161.3, 63.6], [162.6, 63.2],
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[160.0, 59.5], [168.9, 56.8], [165.1, 64.1], [162.6, 50.0], [165.1, 72.3],
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[166.4, 55.0], [160.0, 55.9], [152.4, 60.4], [170.2, 69.1], [162.6, 84.5],
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[170.2, 55.9], [158.8, 55.5], [172.7, 69.5], [167.6, 76.4], [162.6, 61.4],
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[167.6, 65.9], [156.2, 58.6], [175.2, 66.8], [172.1, 56.6], [162.6, 58.6],
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[160.0, 55.9], [165.1, 59.1], [182.9, 81.8], [166.4, 70.7], [165.1, 56.8],
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[177.8, 60.0], [165.1, 58.2], [175.3, 72.7], [154.9, 54.1], [158.8, 49.1],
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[172.7, 75.9], [168.9, 55.0], [161.3, 57.3], [167.6, 55.0], [165.1, 65.5],
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[175.3, 65.5], [157.5, 48.6], [163.8, 58.6], [167.6, 63.6], [165.1, 55.2],
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[165.1, 62.7], [168.9, 56.6], [162.6, 53.9], [164.5, 63.2], [176.5, 73.6],
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[168.9, 62.0], [175.3, 63.6], [159.4, 53.2], [160.0, 53.4], [170.2, 55.0],
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[162.6, 70.5], [167.6, 54.5], [162.6, 54.5], [160.7, 55.9], [160.0, 59.0],
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[157.5, 63.6], [162.6, 54.5], [152.4, 47.3], [170.2, 67.7], [165.1, 80.9],
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[172.7, 70.5], [165.1, 60.9], [170.2, 63.6], [170.2, 54.5], [170.2, 59.1],
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[161.3, 70.5], [167.6, 52.7], [167.6, 62.7], [165.1, 86.3], [162.6, 66.4],
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[152.4, 67.3], [168.9, 63.0], [170.2, 73.6], [175.2, 62.3], [175.2, 57.7],
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[160.0, 55.4], [165.1, 104.1], [174.0, 55.5], [170.2, 77.3], [160.0, 80.5],
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[167.6, 64.5], [167.6, 72.3], [167.6, 61.4], [154.9, 58.2], [162.6, 81.8],
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[175.3, 63.6], [171.4, 53.4], [157.5, 54.5], [165.1, 53.6], [160.0, 60.0],
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[174.0, 73.6], [162.6, 61.4], [174.0, 55.5], [162.6, 63.6], [161.3, 60.9],
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[156.2, 60.0], [149.9, 46.8], [169.5, 57.3], [160.0, 64.1], [175.3, 63.6],
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[169.5, 67.3], [160.0, 75.5], [172.7, 68.2], [162.6, 61.4], [157.5, 76.8],
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[176.5, 71.8], [164.4, 55.5], [160.7, 48.6], [174.0, 66.4], [163.8, 67.3]
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],
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markPoint : {
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data : [
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{type : 'max', name: '最大值'},
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{type : 'min', name: '最小值'}
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]
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},
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makeLine : {
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data : [
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{type : 'average', name: '平均值'}
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]
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}
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},
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{
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name:'男性',
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type:'scatter',
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data: [[174.0, 65.6], [175.3, 71.8], [193.5, 80.7], [186.5, 72.6], [187.2, 78.8],
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[181.5, 74.8], [184.0, 86.4], [184.5, 78.4], [175.0, 62.0], [184.0, 81.6],
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[180.0, 76.6], [177.8, 83.6], [192.0, 90.0], [176.0, 74.6], [174.0, 71.0],
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[184.0, 79.6], [192.7, 93.8], [171.5, 70.0], [173.0, 72.4], [176.0, 85.9],
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[176.0, 78.8], [180.5, 77.8], [172.7, 66.2], [176.0, 86.4], [173.5, 81.8],
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[178.0, 89.6], [180.3, 82.8], [180.3, 76.4], [164.5, 63.2], [173.0, 60.9],
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[183.5, 74.8], [175.5, 70.0], [188.0, 72.4], [189.2, 84.1], [172.8, 69.1],
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[170.0, 59.5], [182.0, 67.2], [170.0, 61.3], [177.8, 68.6], [184.2, 80.1],
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[186.7, 87.8], [171.4, 84.7], [172.7, 73.4], [175.3, 72.1], [180.3, 82.6],
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[182.9, 88.7], [188.0, 84.1], [177.2, 94.1], [172.1, 74.9], [167.0, 59.1],
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[169.5, 75.6], [174.0, 86.2], [172.7, 75.3], [182.2, 87.1], [164.1, 55.2],
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[163.0, 57.0], [171.5, 61.4], [184.2, 76.8], [174.0, 86.8], [174.0, 72.2],
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|
[177.0, 71.6], [186.0, 84.8], [167.0, 68.2], [171.8, 66.1], [182.0, 72.0],
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|
[167.0, 64.6], [177.8, 74.8], [164.5, 70.0], [192.0, 101.6], [175.5, 63.2],
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|
[171.2, 79.1], [181.6, 78.9], [167.4, 67.7], [181.1, 66.0], [177.0, 68.2],
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|
[174.5, 63.9], [177.5, 72.0], [170.5, 56.8], [182.4, 74.5], [197.1, 90.9],
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|
[180.1, 93.0], [175.5, 80.9], [180.6, 72.7], [184.4, 68.0], [175.5, 70.9],
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[180.6, 72.5], [177.0, 72.5], [177.1, 83.4], [181.6, 75.5], [176.5, 73.0],
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|
[175.0, 70.2], [174.0, 73.4], [165.1, 70.5], [177.0, 68.9], [192.0, 102.3],
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|
[176.5, 68.4], [169.4, 65.9], [182.1, 75.7], [179.8, 84.5], [175.3, 87.7],
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[184.9, 86.4], [177.3, 73.2], [167.4, 53.9], [178.1, 72.0], [168.9, 55.5],
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[157.2, 58.4], [180.3, 83.2], [170.2, 72.7], [177.8, 64.1], [172.7, 72.3],
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[165.1, 65.0], [186.7, 86.4], [165.1, 65.0], [174.0, 88.6], [175.3, 84.1],
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[185.4, 66.8], [177.8, 75.5], [180.3, 93.2], [180.3, 82.7], [177.8, 58.0],
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[177.8, 79.5], [177.8, 78.6], [177.8, 71.8], [177.8, 116.4], [163.8, 72.2],
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[188.0, 83.6], [198.1, 85.5], [175.3, 90.9], [166.4, 85.9], [190.5, 89.1],
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[166.4, 75.0], [177.8, 77.7], [179.7, 86.4], [172.7, 90.9], [190.5, 73.6],
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[185.4, 76.4], [168.9, 69.1], [167.6, 84.5], [175.3, 64.5], [170.2, 69.1],
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[190.5, 108.6], [177.8, 86.4], [190.5, 80.9], [177.8, 87.7], [184.2, 94.5],
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[176.5, 80.2], [177.8, 72.0], [180.3, 71.4], [171.4, 72.7], [172.7, 84.1],
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[172.7, 76.8], [177.8, 63.6], [177.8, 80.9], [182.9, 80.9], [170.2, 85.5],
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[167.6, 68.6], [175.3, 67.7], [165.1, 66.4], [185.4, 102.3], [181.6, 70.5],
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[172.7, 95.9], [190.5, 84.1], [179.1, 87.3], [175.3, 71.8], [170.2, 65.9],
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[193.0, 95.9], [171.4, 91.4], [177.8, 81.8], [177.8, 96.8], [167.6, 69.1],
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[167.6, 82.7], [180.3, 75.5], [182.9, 79.5], [176.5, 73.6], [186.7, 91.8],
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|
[188.0, 84.1], [188.0, 85.9], [177.8, 81.8], [174.0, 82.5], [177.8, 80.5],
|
|
[171.4, 70.0], [185.4, 81.8], [185.4, 84.1], [188.0, 90.5], [188.0, 91.4],
|
|
[182.9, 89.1], [176.5, 85.0], [175.3, 69.1], [175.3, 73.6], [188.0, 80.5],
|
|
[188.0, 82.7], [175.3, 86.4], [170.5, 67.7], [179.1, 92.7], [177.8, 93.6],
|
|
[175.3, 70.9], [182.9, 75.0], [170.8, 93.2], [188.0, 93.2], [180.3, 77.7],
|
|
[177.8, 61.4], [185.4, 94.1], [168.9, 75.0], [185.4, 83.6], [180.3, 85.5],
|
|
[174.0, 73.9], [167.6, 66.8], [182.9, 87.3], [160.0, 72.3], [180.3, 88.6],
|
|
[167.6, 75.5], [186.7, 101.4], [175.3, 91.1], [175.3, 67.3], [175.9, 77.7],
|
|
[175.3, 81.8], [179.1, 75.5], [181.6, 84.5], [177.8, 76.6], [182.9, 85.0],
|
|
[177.8, 102.5], [184.2, 77.3], [179.1, 71.8], [176.5, 87.9], [188.0, 94.3],
|
|
[174.0, 70.9], [167.6, 64.5], [170.2, 77.3], [167.6, 72.3], [188.0, 87.3],
|
|
[174.0, 80.0], [176.5, 82.3], [180.3, 73.6], [167.6, 74.1], [188.0, 85.9],
|
|
[180.3, 73.2], [167.6, 76.3], [183.0, 65.9], [183.0, 90.9], [179.1, 89.1],
|
|
[170.2, 62.3], [177.8, 82.7], [179.1, 79.1], [190.5, 98.2], [177.8, 84.1],
|
|
[180.3, 83.2], [180.3, 83.2]
|
|
],
|
|
markPoint : {
|
|
data : [
|
|
{type : 'max', name: '最大值'},
|
|
{type : 'min', name: '最小值'}
|
|
]
|
|
},
|
|
makeLine : {
|
|
data : [
|
|
{type : 'average', name: '平均值'}
|
|
]
|
|
}
|
|
}
|
|
]
|
|
});
|
|
}
|
|
|
|
function makeMap() {
|
|
var chart = makeChart();
|
|
chart.setOption({
|
|
tooltip: {},
|
|
legend: {
|
|
data: ['a', 'b']
|
|
},
|
|
series: [{
|
|
name: 'a',
|
|
type: 'map',
|
|
map: 'china',
|
|
data: [
|
|
{name: '北京',value: Math.round(Math.random()*1000)},
|
|
{name: '天津',value: Math.round(Math.random()*1000)},
|
|
{name: '上海',value: Math.round(Math.random()*1000)},
|
|
{name: '重庆',value: Math.round(Math.random()*1000)},
|
|
{name: '河北',value: Math.round(Math.random()*1000)},
|
|
{name: '河南',value: Math.round(Math.random()*1000)},
|
|
{name: '云南',value: Math.round(Math.random()*1000)}
|
|
]
|
|
}, {
|
|
name: 'b',
|
|
type: 'map',
|
|
map: 'china',
|
|
data: [
|
|
{name: '北京',value: Math.round(Math.random()*1000)},
|
|
{name: '天津',value: Math.round(Math.random()*1000)},
|
|
{name: '上海',value: Math.round(Math.random()*1000)},
|
|
{name: '重庆',value: Math.round(Math.random()*1000)},
|
|
{name: '河北',value: Math.round(Math.random()*1000)},
|
|
{name: '河南',value: Math.round(Math.random()*1000)},
|
|
{name: '云南',value: Math.round(Math.random()*1000)}
|
|
]
|
|
}]
|
|
});
|
|
}
|
|
|
|
function makeFunnel() {
|
|
var chart = makeChart();
|
|
chart.setOption({
|
|
title : {
|
|
text: '漏斗图',
|
|
subtext: '纯属虚构'
|
|
},
|
|
tooltip : {
|
|
trigger: 'item',
|
|
formatter: '{a} <br/>{b} : {c}%'
|
|
},
|
|
legend: {
|
|
data : ['展现','点击','访问','咨询','订单']
|
|
},
|
|
series: [
|
|
{
|
|
name:'漏斗图',
|
|
type:'funnel',
|
|
gap: 3,
|
|
sort: 'ascending',
|
|
label: {
|
|
normal: {
|
|
position: 'inside'
|
|
}
|
|
},
|
|
data:[
|
|
{value:60, name:'访问'},
|
|
{value:40, name:'咨询'},
|
|
{value:20, name:'订单'},
|
|
{value:80, name:'点击'},
|
|
{value:100, name:'展现'}
|
|
]
|
|
}
|
|
]
|
|
});
|
|
}
|
|
|
|
|
|
function makeBar () {
|
|
var chart = makeChart();
|
|
var xAxisData = [];
|
|
var data1 = [];
|
|
|
|
for (var i = 0; i < 5; i++) {
|
|
xAxisData[i] = [];
|
|
data1[i] = [];
|
|
for (var j = 0; j < 10; j++) {
|
|
xAxisData[i].push('类目' + j);
|
|
data1[i].push((Math.random() * 5).toFixed(2));
|
|
}
|
|
}
|
|
|
|
chart.setOption({
|
|
tooltip : {
|
|
trigger: 'axis'
|
|
},
|
|
legend: {
|
|
data:['邮件营销','联盟广告','视频广告','直接访问','搜索引擎']
|
|
},
|
|
xAxis : [
|
|
{
|
|
type : 'category',
|
|
data : ['周一','周二','周三','周四','周五','周六','周日']
|
|
}
|
|
],
|
|
yAxis : [
|
|
{
|
|
type : 'value'
|
|
}
|
|
],
|
|
series : [
|
|
{
|
|
name:'邮件营销',
|
|
type:'bar',
|
|
stack: '总量',
|
|
data:[120, 132, 101, 134, 90, 230, 210]
|
|
},
|
|
{
|
|
name:'联盟广告',
|
|
type:'bar',
|
|
stack: '总量',
|
|
data:[220, 182, 191, 234, 290, 330, 310]
|
|
},
|
|
{
|
|
name:'视频广告',
|
|
type:'bar',
|
|
stack: '总量',
|
|
data:[150, 232, 201, 154, 190, 330, 410]
|
|
},
|
|
{
|
|
name:'直接访问',
|
|
type:'bar',
|
|
stack: '总量',
|
|
data:[320, 332, 301, 334, 390, 330, 320]
|
|
},
|
|
{
|
|
name:'搜索引擎',
|
|
type:'bar',
|
|
stack: '总量',
|
|
data:[820, 932, 901, 934, 1290, 1330, 1320]
|
|
}
|
|
]
|
|
});
|
|
}
|
|
|
|
function makePie() {
|
|
var chart = makeChart();
|
|
chart.setOption({
|
|
legend: {
|
|
data:['直接访问','邮件营销','联盟广告','视频广告','搜索引擎']
|
|
},
|
|
tooltip: {
|
|
|
|
},
|
|
series: [{
|
|
name: 'pie',
|
|
type: 'pie',
|
|
selectedMode: 'single',
|
|
hoverAnimation: false,
|
|
selectedOffset: 30,
|
|
clockwise: true,
|
|
radius: [50, 100],
|
|
animation: false,
|
|
data:[
|
|
{value:0, name:'直接访问'},
|
|
{value:310, name:'邮件营销'},
|
|
{value:234, name:'联盟广告'},
|
|
{value:135, name:'视频广告'},
|
|
{value:1548, name:'搜索引擎'}
|
|
]
|
|
}]
|
|
});
|
|
}
|
|
|
|
function makeExtremePie() {
|
|
var chart = makeChart();
|
|
chart.setOption({
|
|
"tooltip": {
|
|
"trigger": "item",
|
|
"formatter": "{b} : {c}吨 ({d}%)"
|
|
},
|
|
"series": [
|
|
{
|
|
"type": "pie",
|
|
"radius": "60%",
|
|
"center": ["50%", "50%" ],
|
|
"data": [
|
|
{
|
|
"value": "6000",
|
|
"name": "aaa"
|
|
},
|
|
{
|
|
"value": "123456790246912.12345",
|
|
"name": "bbb"
|
|
}
|
|
],
|
|
"itemStyle": {
|
|
"emphasis": {
|
|
"shadowBlur": 10,
|
|
"shadowOffsetX": 0,
|
|
"shadowColor": "rgba(0, 0, 0, 0.5)"
|
|
}
|
|
}
|
|
}
|
|
]
|
|
});
|
|
}
|
|
|
|
function makeSinglePie() {
|
|
var chart = makeChart();
|
|
chart.setOption({
|
|
legend: {
|
|
data:['直接访问']
|
|
},
|
|
tooltip: {
|
|
|
|
},
|
|
series: [{
|
|
name: 'pie',
|
|
type: 'pie',
|
|
selectedMode: 'single',
|
|
hoverAnimation: false,
|
|
selectedOffset: 30,
|
|
clockwise: true,
|
|
data:[
|
|
{value:335, name:'直接访问'}
|
|
]
|
|
}]
|
|
});
|
|
}
|
|
|
|
function makeScatter() {
|
|
var chart = makeChart();
|
|
var data1 = [];
|
|
for (var j = 0; j < 20; j++) {
|
|
data1.push([
|
|
(Math.random() * 5).toFixed(2),
|
|
(Math.random() * 5).toFixed(2),
|
|
(Math.random() * 5).toFixed(2)
|
|
]);
|
|
}
|
|
|
|
chart.setOption({
|
|
title : {
|
|
text: '男性女性身高体重分布',
|
|
subtext: '抽样调查来自: Heinz 2003'
|
|
},
|
|
tooltip : {
|
|
trigger: 'axis',
|
|
showDelay : 0,
|
|
formatter : function (params) {
|
|
if (params.value.length > 1) {
|
|
return params.seriesName + ' :<br/>'
|
|
+ params.value[0] + 'cm '
|
|
+ params.value[1] + 'kg ';
|
|
}
|
|
else {
|
|
return params.seriesName + ' :<br/>'
|
|
+ params.name + ' : '
|
|
+ params.value + 'kg ';
|
|
}
|
|
},
|
|
axisPointer:{
|
|
show: true,
|
|
type : 'cross',
|
|
lineStyle: {
|
|
type : 'dashed',
|
|
width : 1
|
|
}
|
|
}
|
|
},
|
|
legend: {
|
|
data:['女性','男性']
|
|
},
|
|
toolbox: {
|
|
show : true,
|
|
feature : {
|
|
mark : {show: true},
|
|
dataZoom : {show: true},
|
|
dataView : {show: true, readOnly: false},
|
|
restore : {show: true},
|
|
saveAsImage : {show: true}
|
|
}
|
|
},
|
|
xAxis : [
|
|
{
|
|
type : 'value',
|
|
scale:true,
|
|
axisLabel : {
|
|
formatter: '{value} cm'
|
|
}
|
|
}
|
|
],
|
|
yAxis : [
|
|
{
|
|
type : 'value',
|
|
scale:true,
|
|
axisLabel : {
|
|
formatter: '{value} kg'
|
|
}
|
|
}
|
|
],
|
|
series : [
|
|
{
|
|
name:'女性',
|
|
type:'scatter',
|
|
data: [[161.2, 51.6], [167.5, 59.0], [159.5, 49.2], [157.0, 63.0], [155.8, 53.6],
|
|
[170.0, 59.0], [159.1, 47.6], [166.0, 69.8], [176.2, 66.8], [160.2, 75.2],
|
|
[172.5, 55.2], [170.9, 54.2], [172.9, 62.5], [153.4, 42.0], [160.0, 50.0],
|
|
[147.2, 49.8], [168.2, 49.2], [175.0, 73.2], [157.0, 47.8], [167.6, 68.8],
|
|
[159.5, 50.6], [175.0, 82.5], [166.8, 57.2], [176.5, 87.8], [170.2, 72.8],
|
|
[174.0, 54.5], [173.0, 59.8], [179.9, 67.3], [170.5, 67.8], [160.0, 47.0],
|
|
[154.4, 46.2], [162.0, 55.0], [176.5, 83.0], [160.0, 54.4], [152.0, 45.8],
|
|
[162.1, 53.6], [170.0, 73.2], [160.2, 52.1], [161.3, 67.9], [166.4, 56.6],
|
|
[168.9, 62.3], [163.8, 58.5], [167.6, 54.5], [160.0, 50.2], [161.3, 60.3],
|
|
[167.6, 58.3], [165.1, 56.2], [160.0, 50.2], [170.0, 72.9], [157.5, 59.8],
|
|
[167.6, 61.0], [160.7, 69.1], [163.2, 55.9], [152.4, 46.5], [157.5, 54.3],
|
|
[168.3, 54.8], [180.3, 60.7], [165.5, 60.0], [165.0, 62.0], [164.5, 60.3],
|
|
[156.0, 52.7], [160.0, 74.3], [163.0, 62.0], [165.7, 73.1], [161.0, 80.0],
|
|
[162.0, 54.7], [166.0, 53.2], [174.0, 75.7], [172.7, 61.1], [167.6, 55.7],
|
|
[151.1, 48.7], [164.5, 52.3], [163.5, 50.0], [152.0, 59.3], [169.0, 62.5],
|
|
[164.0, 55.7], [161.2, 54.8], [155.0, 45.9], [170.0, 70.6], [176.2, 67.2],
|
|
[170.0, 69.4], [162.5, 58.2], [170.3, 64.8], [164.1, 71.6], [169.5, 52.8],
|
|
[163.2, 59.8], [154.5, 49.0], [159.8, 50.0], [173.2, 69.2], [170.0, 55.9],
|
|
[161.4, 63.4], [169.0, 58.2], [166.2, 58.6], [159.4, 45.7], [162.5, 52.2],
|
|
[159.0, 48.6], [162.8, 57.8], [159.0, 55.6], [179.8, 66.8], [162.9, 59.4],
|
|
[161.0, 53.6], [151.1, 73.2], [168.2, 53.4], [168.9, 69.0], [173.2, 58.4],
|
|
[171.8, 56.2], [178.0, 70.6], [164.3, 59.8], [163.0, 72.0], [168.5, 65.2],
|
|
[166.8, 56.6], [172.7, 105.2], [163.5, 51.8], [169.4, 63.4], [167.8, 59.0],
|
|
[159.5, 47.6], [167.6, 63.0], [161.2, 55.2], [160.0, 45.0], [163.2, 54.0],
|
|
[162.2, 50.2], [161.3, 60.2], [149.5, 44.8], [157.5, 58.8], [163.2, 56.4],
|
|
[172.7, 62.0], [155.0, 49.2], [156.5, 67.2], [164.0, 53.8], [160.9, 54.4],
|
|
[162.8, 58.0], [167.0, 59.8], [160.0, 54.8], [160.0, 43.2], [168.9, 60.5],
|
|
[158.2, 46.4], [156.0, 64.4], [160.0, 48.8], [167.1, 62.2], [158.0, 55.5],
|
|
[167.6, 57.8], [156.0, 54.6], [162.1, 59.2], [173.4, 52.7], [159.8, 53.2],
|
|
[170.5, 64.5], [159.2, 51.8], [157.5, 56.0], [161.3, 63.6], [162.6, 63.2],
|
|
[160.0, 59.5], [168.9, 56.8], [165.1, 64.1], [162.6, 50.0], [165.1, 72.3],
|
|
[166.4, 55.0], [160.0, 55.9], [152.4, 60.4], [170.2, 69.1], [162.6, 84.5],
|
|
[170.2, 55.9], [158.8, 55.5], [172.7, 69.5], [167.6, 76.4], [162.6, 61.4],
|
|
[167.6, 65.9], [156.2, 58.6], [175.2, 66.8], [172.1, 56.6], [162.6, 58.6],
|
|
[160.0, 55.9], [165.1, 59.1], [182.9, 81.8], [166.4, 70.7], [165.1, 56.8],
|
|
[177.8, 60.0], [165.1, 58.2], [175.3, 72.7], [154.9, 54.1], [158.8, 49.1],
|
|
[172.7, 75.9], [168.9, 55.0], [161.3, 57.3], [167.6, 55.0], [165.1, 65.5],
|
|
[175.3, 65.5], [157.5, 48.6], [163.8, 58.6], [167.6, 63.6], [165.1, 55.2],
|
|
[165.1, 62.7], [168.9, 56.6], [162.6, 53.9], [164.5, 63.2], [176.5, 73.6],
|
|
[168.9, 62.0], [175.3, 63.6], [159.4, 53.2], [160.0, 53.4], [170.2, 55.0],
|
|
[162.6, 70.5], [167.6, 54.5], [162.6, 54.5], [160.7, 55.9], [160.0, 59.0],
|
|
[157.5, 63.6], [162.6, 54.5], [152.4, 47.3], [170.2, 67.7], [165.1, 80.9],
|
|
[172.7, 70.5], [165.1, 60.9], [170.2, 63.6], [170.2, 54.5], [170.2, 59.1],
|
|
[161.3, 70.5], [167.6, 52.7], [167.6, 62.7], [165.1, 86.3], [162.6, 66.4],
|
|
[152.4, 67.3], [168.9, 63.0], [170.2, 73.6], [175.2, 62.3], [175.2, 57.7],
|
|
[160.0, 55.4], [165.1, 104.1], [174.0, 55.5], [170.2, 77.3], [160.0, 80.5],
|
|
[167.6, 64.5], [167.6, 72.3], [167.6, 61.4], [154.9, 58.2], [162.6, 81.8],
|
|
[175.3, 63.6], [171.4, 53.4], [157.5, 54.5], [165.1, 53.6], [160.0, 60.0],
|
|
[174.0, 73.6], [162.6, 61.4], [174.0, 55.5], [162.6, 63.6], [161.3, 60.9],
|
|
[156.2, 60.0], [149.9, 46.8], [169.5, 57.3], [160.0, 64.1], [175.3, 63.6],
|
|
[169.5, 67.3], [160.0, 75.5], [172.7, 68.2], [162.6, 61.4], [157.5, 76.8],
|
|
[176.5, 71.8], [164.4, 55.5], [160.7, 48.6], [174.0, 66.4], [163.8, 67.3]
|
|
],
|
|
markPoint : {
|
|
data : [
|
|
{type : 'max', name: '最大值'},
|
|
{type : 'min', name: '最小值'}
|
|
]
|
|
},
|
|
makeLine : {
|
|
data : [
|
|
{type : 'average', name: '平均值'}
|
|
]
|
|
}
|
|
},
|
|
{
|
|
name:'男性',
|
|
type:'scatter',
|
|
data: [[174.0, 65.6], [175.3, 71.8], [193.5, 80.7], [186.5, 72.6], [187.2, 78.8],
|
|
[181.5, 74.8], [184.0, 86.4], [184.5, 78.4], [175.0, 62.0], [184.0, 81.6],
|
|
[180.0, 76.6], [177.8, 83.6], [192.0, 90.0], [176.0, 74.6], [174.0, 71.0],
|
|
[184.0, 79.6], [192.7, 93.8], [171.5, 70.0], [173.0, 72.4], [176.0, 85.9],
|
|
[176.0, 78.8], [180.5, 77.8], [172.7, 66.2], [176.0, 86.4], [173.5, 81.8],
|
|
[178.0, 89.6], [180.3, 82.8], [180.3, 76.4], [164.5, 63.2], [173.0, 60.9],
|
|
[183.5, 74.8], [175.5, 70.0], [188.0, 72.4], [189.2, 84.1], [172.8, 69.1],
|
|
[170.0, 59.5], [182.0, 67.2], [170.0, 61.3], [177.8, 68.6], [184.2, 80.1],
|
|
[186.7, 87.8], [171.4, 84.7], [172.7, 73.4], [175.3, 72.1], [180.3, 82.6],
|
|
[182.9, 88.7], [188.0, 84.1], [177.2, 94.1], [172.1, 74.9], [167.0, 59.1],
|
|
[169.5, 75.6], [174.0, 86.2], [172.7, 75.3], [182.2, 87.1], [164.1, 55.2],
|
|
[163.0, 57.0], [171.5, 61.4], [184.2, 76.8], [174.0, 86.8], [174.0, 72.2],
|
|
[177.0, 71.6], [186.0, 84.8], [167.0, 68.2], [171.8, 66.1], [182.0, 72.0],
|
|
[167.0, 64.6], [177.8, 74.8], [164.5, 70.0], [192.0, 101.6], [175.5, 63.2],
|
|
[171.2, 79.1], [181.6, 78.9], [167.4, 67.7], [181.1, 66.0], [177.0, 68.2],
|
|
[174.5, 63.9], [177.5, 72.0], [170.5, 56.8], [182.4, 74.5], [197.1, 90.9],
|
|
[180.1, 93.0], [175.5, 80.9], [180.6, 72.7], [184.4, 68.0], [175.5, 70.9],
|
|
[180.6, 72.5], [177.0, 72.5], [177.1, 83.4], [181.6, 75.5], [176.5, 73.0],
|
|
[175.0, 70.2], [174.0, 73.4], [165.1, 70.5], [177.0, 68.9], [192.0, 102.3],
|
|
[176.5, 68.4], [169.4, 65.9], [182.1, 75.7], [179.8, 84.5], [175.3, 87.7],
|
|
[184.9, 86.4], [177.3, 73.2], [167.4, 53.9], [178.1, 72.0], [168.9, 55.5],
|
|
[157.2, 58.4], [180.3, 83.2], [170.2, 72.7], [177.8, 64.1], [172.7, 72.3],
|
|
[165.1, 65.0], [186.7, 86.4], [165.1, 65.0], [174.0, 88.6], [175.3, 84.1],
|
|
[185.4, 66.8], [177.8, 75.5], [180.3, 93.2], [180.3, 82.7], [177.8, 58.0],
|
|
[177.8, 79.5], [177.8, 78.6], [177.8, 71.8], [177.8, 116.4], [163.8, 72.2],
|
|
[188.0, 83.6], [198.1, 85.5], [175.3, 90.9], [166.4, 85.9], [190.5, 89.1],
|
|
[166.4, 75.0], [177.8, 77.7], [179.7, 86.4], [172.7, 90.9], [190.5, 73.6],
|
|
[185.4, 76.4], [168.9, 69.1], [167.6, 84.5], [175.3, 64.5], [170.2, 69.1],
|
|
[190.5, 108.6], [177.8, 86.4], [190.5, 80.9], [177.8, 87.7], [184.2, 94.5],
|
|
[176.5, 80.2], [177.8, 72.0], [180.3, 71.4], [171.4, 72.7], [172.7, 84.1],
|
|
[172.7, 76.8], [177.8, 63.6], [177.8, 80.9], [182.9, 80.9], [170.2, 85.5],
|
|
[167.6, 68.6], [175.3, 67.7], [165.1, 66.4], [185.4, 102.3], [181.6, 70.5],
|
|
[172.7, 95.9], [190.5, 84.1], [179.1, 87.3], [175.3, 71.8], [170.2, 65.9],
|
|
[193.0, 95.9], [171.4, 91.4], [177.8, 81.8], [177.8, 96.8], [167.6, 69.1],
|
|
[167.6, 82.7], [180.3, 75.5], [182.9, 79.5], [176.5, 73.6], [186.7, 91.8],
|
|
[188.0, 84.1], [188.0, 85.9], [177.8, 81.8], [174.0, 82.5], [177.8, 80.5],
|
|
[171.4, 70.0], [185.4, 81.8], [185.4, 84.1], [188.0, 90.5], [188.0, 91.4],
|
|
[182.9, 89.1], [176.5, 85.0], [175.3, 69.1], [175.3, 73.6], [188.0, 80.5],
|
|
[188.0, 82.7], [175.3, 86.4], [170.5, 67.7], [179.1, 92.7], [177.8, 93.6],
|
|
[175.3, 70.9], [182.9, 75.0], [170.8, 93.2], [188.0, 93.2], [180.3, 77.7],
|
|
[177.8, 61.4], [185.4, 94.1], [168.9, 75.0], [185.4, 83.6], [180.3, 85.5],
|
|
[174.0, 73.9], [167.6, 66.8], [182.9, 87.3], [160.0, 72.3], [180.3, 88.6],
|
|
[167.6, 75.5], [186.7, 101.4], [175.3, 91.1], [175.3, 67.3], [175.9, 77.7],
|
|
[175.3, 81.8], [179.1, 75.5], [181.6, 84.5], [177.8, 76.6], [182.9, 85.0],
|
|
[177.8, 102.5], [184.2, 77.3], [179.1, 71.8], [176.5, 87.9], [188.0, 94.3],
|
|
[174.0, 70.9], [167.6, 64.5], [170.2, 77.3], [167.6, 72.3], [188.0, 87.3],
|
|
[174.0, 80.0], [176.5, 82.3], [180.3, 73.6], [167.6, 74.1], [188.0, 85.9],
|
|
[180.3, 73.2], [167.6, 76.3], [183.0, 65.9], [183.0, 90.9], [179.1, 89.1],
|
|
[170.2, 62.3], [177.8, 82.7], [179.1, 79.1], [190.5, 98.2], [177.8, 84.1],
|
|
[180.3, 83.2], [180.3, 83.2]
|
|
],
|
|
markPoint : {
|
|
data : [
|
|
{type : 'max', name: '最大值'},
|
|
{type : 'min', name: '最小值'}
|
|
]
|
|
},
|
|
makeLine : {
|
|
data : [
|
|
{type : 'average', name: '平均值'}
|
|
]
|
|
}
|
|
}
|
|
]
|
|
});
|
|
}
|
|
|
|
function makeFunnel() {
|
|
var chart = makeChart();
|
|
chart.setOption({
|
|
title : {
|
|
text: '漏斗图',
|
|
subtext: '纯属虚构'
|
|
},
|
|
tooltip : {
|
|
trigger: 'item',
|
|
formatter: '{a} <br/>{b} : {c}%'
|
|
},
|
|
legend: {
|
|
data : ['展现','点击','访问','咨询','订单']
|
|
},
|
|
series: [
|
|
{
|
|
name:'漏斗图',
|
|
type:'funnel',
|
|
gap: 3,
|
|
sort: 'ascending',
|
|
label: {
|
|
normal: {
|
|
position: 'inside'
|
|
}
|
|
},
|
|
data:[
|
|
{value:60, name:'访问'},
|
|
{value:40, name:'咨询'},
|
|
{value:20, name:'订单'},
|
|
{value:80, name:'点击'},
|
|
{value:100, name:'展现'}
|
|
]
|
|
}
|
|
]
|
|
});
|
|
}
|
|
|
|
function makeDataZoom() {
|
|
var chart = makeChart();
|
|
var data = [];
|
|
var categoryData = [];
|
|
var y = Math.random() * 1000;
|
|
for (var i = 0; i < 50; i++) {
|
|
categoryData.push('C' + i);
|
|
data.push(y);
|
|
y += 100 * Math.random() - 50;
|
|
}
|
|
chart.setOption({
|
|
xAxis: {
|
|
data: categoryData
|
|
},
|
|
yAxis: {},
|
|
dataZoom: [{
|
|
start: 0,
|
|
end: 30
|
|
}],
|
|
series: [
|
|
{
|
|
type: 'line',
|
|
animation: false,
|
|
data: data
|
|
// smooth: true
|
|
}
|
|
]
|
|
});
|
|
}
|
|
|
|
function makeGraph() {
|
|
var chart = makeChart();
|
|
chart.setOption({
|
|
tooltip: {},
|
|
animationDurationUpdate: 1500,
|
|
animationEasingUpdate: 'quinticInOut',
|
|
series : [
|
|
{
|
|
type: 'graph',
|
|
layout: 'none',
|
|
symbolSize: 50,
|
|
roam: true,
|
|
label: {
|
|
normal: {
|
|
show: true
|
|
}
|
|
},
|
|
edgeSymbol: ['circle', 'arrow'],
|
|
edgeSymbolSize: [4, 10],
|
|
edgeLabel: {
|
|
normal: {
|
|
textStyle: {
|
|
fontSize: 20
|
|
}
|
|
}
|
|
},
|
|
data: [{
|
|
name: '节点1',
|
|
x: 300,
|
|
y: 300
|
|
}, {
|
|
name: '节点2',
|
|
x: 800,
|
|
y: 300
|
|
}, {
|
|
name: '节点3',
|
|
x: 550,
|
|
y: 100
|
|
}, {
|
|
name: '节点4',
|
|
x: 550,
|
|
y: 500
|
|
}],
|
|
// links: [],
|
|
links: [{
|
|
source: '节点1',
|
|
target: '节点2',
|
|
symbolSize: [5, 20],
|
|
label: {
|
|
normal: {
|
|
show: true
|
|
}
|
|
},
|
|
lineStyle: {
|
|
normal: {
|
|
width: 5,
|
|
curveness: 0.2
|
|
}
|
|
}
|
|
}, {
|
|
source: '节点2',
|
|
target: '节点1',
|
|
label: {
|
|
normal: {
|
|
show: true
|
|
}
|
|
},
|
|
lineStyle: {
|
|
normal: { curveness: 0.2 }
|
|
}
|
|
}, {
|
|
source: '节点1',
|
|
target: '节点3'
|
|
}, {
|
|
source: '节点2',
|
|
target: '节点3'
|
|
}, {
|
|
source: '节点2',
|
|
target: '节点4'
|
|
}, {
|
|
source: '节点1',
|
|
target: '节点4'
|
|
}],
|
|
lineStyle: {
|
|
normal: {
|
|
curveness: 0
|
|
}
|
|
}
|
|
}
|
|
]
|
|
});
|
|
}
|
|
|
|
setTimeout(function () {
|
|
makeLine();
|
|
}, 500);
|
|
setTimeout(function () {
|
|
makeBar();
|
|
}, 1000);
|
|
setTimeout(function () {
|
|
makePie();
|
|
}, 1500);
|
|
setTimeout(function () {
|
|
makeExtremePie();
|
|
}, 1600);
|
|
setTimeout(function () {
|
|
makeSinglePie();
|
|
}, 1800);
|
|
setTimeout(function () {
|
|
makeScatter();
|
|
}, 2000);
|
|
setTimeout(function () {
|
|
makeMap();
|
|
}, 2500);
|
|
setTimeout(function () {
|
|
makeFunnel();
|
|
}, 3000);
|
|
setTimeout(function () {
|
|
makeDataZoom();
|
|
}, 3500);
|
|
setTimeout(function () {
|
|
makeGraph();
|
|
}, 3500);
|
|
</script>
|
|
</body>
|
|
</html> |