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logarithmic regression - 1990 and 2015 per capita life expectancy and GDP
By
l***d
2017-02-16 08:24:35
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16
21
作品使用的第三方脚本
http://echarts.baidu.com/resource/echarts-stat-latest/dist/ecStat.min.js
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//ecStat 是 ECharts 的统计扩展,需要额外添加扩展脚本,参加上方“脚本” // 详情请移步 https://github.com/ecomfe/echarts-stat // 图中的曲线是通过对数回归拟合出的 var data0 = [ [28604, 77, 17096869, 'Australia', 1990], [31163, 77.4, 27662440, 'Canada', 1990], [1516, 68, 1154605773, 'China', 1990], [13670, 74.7, 10582082, 'Cuba', 1990], [28599, 75, 4986705, 'Finland', 1990], [29476, 77.1, 56943299, 'France', 1990], [31476, 75.4, 78958237, 'Germany', 1990], [28666, 78.1, 254830, 'Iceland', 1990], [1777, 57.7, 870601776, 'India', 1990], [29550, 79.1, 122249285, 'Japan', 1990], [2076, 67.9, 20194354, 'North Korea', 1990], [12087, 72, 42972254, 'South Korea', 1990], [24021, 75.4, 3397534, 'New Zealand', 1990], [43296, 76.8, 4240375, 'Norway', 1990], [10088, 70.8, 38195258, 'Poland', 1990], [19349, 69.6, 147568552, 'Russia', 1990], [10670, 67.3, 53994605, 'Turkey', 1990], [26424, 75.7, 57110117, 'United Kingdom', 1990], [37062, 75.4, 252847810, 'United States', 1990] ]; var data1 = [ [44056, 81.8, 23968973, 'Australia', 2015], [43294, 81.7, 35939927, 'Canada', 2015], [13334, 76.9, 1376048943, 'China', 2015], [21291, 78.5, 11389562, 'Cuba', 2015], [38923, 80.8, 5503457, 'Finland', 2015], [37599, 81.9, 64395345, 'France', 2015], [44053, 81.1, 80688545, 'Germany', 2015], [42182, 82.8, 329425, 'Iceland', 2015], [5903, 66.8, 1311050527, 'India', 2015], [36162, 83.5, 126573481, 'Japan', 2015], [1390, 71.4, 25155317, 'North Korea', 2015], [34644, 80.7, 50293439, 'South Korea', 2015], [34186, 80.6, 4528526, 'New Zealand', 2015], [64304, 81.6, 5210967, 'Norway', 2015], [24787, 77.3, 38611794, 'Poland', 2015], [23038, 73.13, 143456918, 'Russia', 2015], [19360, 76.5, 78665830, 'Turkey', 2015], [38225, 81.4, 64715810, 'United Kingdom', 2015], [53354, 79.1, 321773631, 'United States', 2015] ]; var data = [ [28604, 77], [31163, 77.4], [1516, 68], [13670, 74.7], [28599, 75], [29476, 77.1], [31476, 75.4], [28666, 78.1], [1777, 57.7], [29550, 79.1], [2076, 67.9], [12087, 72], [24021, 75.4], [43296, 76.8], [10088, 70.8], [19349, 69.6], [10670, 67.3], [26424, 75.7], [37062, 75.4], [44056, 81.8], [43294, 81.7], [13334, 76.9], [21291, 78.5], [38923, 80.8], [37599, 81.9], [44053, 81.1], [42182, 82.8], [5903, 66.8], [36162, 83.5], [1390, 71.4], [34644, 80.7], [34186, 80.6], [64304, 81.6], [24787, 77.3], [23038, 73.13], [19360, 76.5], [38225, 81.4], [53354, 79.1] ]; var myRegression = ecStat.regression('logarithmic', data); myRegression.points.sort(function(a, b) { return a[0] - b[0]; }); myChart.setOption({ legend: { data: ['1990', '2015'] }, title: { text: '1990 and 2015 per capita life expectancy and GDP' }, tooltip: { trigger: 'axis', axisPointer: { type: 'cross' } }, xAxis: { type: 'value', splitLine: { lineStyle: { type: 'dashed' } }, }, yAxis: { type: 'value', splitLine: { lineStyle: { type: 'dashed' } }, }, series: [{ name: '1990', type: 'scatter', symbolSize: function(data) { return Math.sqrt(data[2]) / 5e2; }, label: { emphasis: { show: true, formatter: function(param) { return param.data[3]; }, position: 'top' } }, itemStyle: { normal: { shadowBlur: 10, shadowColor: 'rgba(120, 36, 50, 0.5)', shadowOffsetY: 5, color: new echarts.graphic.RadialGradient(0.4, 0.3, 1, [{ offset: 0, color: 'rgb(251, 118, 123)' }, { offset: 1, color: 'rgb(204, 46, 72)' }]) } }, data: data0 }, { name: '2015', type: 'scatter', symbolSize: function(data) { return Math.sqrt(data[2]) / 5e2; }, label: { emphasis: { show: true, formatter: function(param) { return param.data[3]; }, position: 'top' } }, itemStyle: { normal: { shadowBlur: 10, shadowColor: 'rgba(25, 100, 150, 0.5)', shadowOffsetY: 5, color: new echarts.graphic.RadialGradient(0.4, 0.3, 1, [{ offset: 0, color: 'rgb(129, 227, 238)' }, { offset: 1, color: 'rgb(25, 183, 207)' }]) } }, data: data1 }, { name: 'line', type: 'line', lineStyle: { normal: { color: '#2f4554' } }, smooth: true, showSymbol: false, data: myRegression.points, markPoint: { itemStyle: { normal: { color: 'transparent' } }, label: { normal: { show: true, position: 'left', formatter: myRegression.expression, textStyle: { color: '#333', fontSize: 14 } } }, data: [{ coord: myRegression.points[myRegression.points.length - 1] }] } }] });