散点图

这是图片

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<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>Document</title>
</head>
<script src="echarts.js"></script>
<style>
.box{
width:1200px;
height: 600px;
}
</style>
<body>
<div class="box"></div>
<script>
let dataWomen = []
for (let i =0;i<21;i++){
data = [Math.floor((Math.random()*(180-160+1)+160)*100)/100,Math.floor((Math.random()*(100-40+1)+40)*100)/100]
dataWomen.push(data)
}
let dataMen = []
for (let i =0;i<21;i++){
data = [Math.floor((Math.random()*(200-160+1)+160)*100)/100,Math.floor((Math.random()*(150-50+1)+50)*100)/100]
dataMen.push(data)
}
console.log(dataWomen)
let box = document.querySelector(".box")
let myChart = echarts.init(box)
let option = {
color:["red","green"],
title:{
x:33,
text:"男性和女性身高、体重分布",
subtext:"抽样调查来自:FLQ2020"
},
legend:{
data:["男性","女性"]
},
toolbox:{
x:900,show:true,
feature:{
dataZoom:{
show:true
},
dataView:{
show:true
},
restore:{
show:true
},
saveAsImage:{
show:true
}
}
},
xAxis:[{
type:'value',
scale:true,
axisLable:{
formatter:"{value}cm"
}
}],
yAxis:[{
type:"value",
scale:true,
axisLable:{
formatter:"{value}kg"
}
}],
series:[
{
type:'effectScatter',
name:'极值',
rippleEffect:{
period:2,
scale:5.5,
brushType:'stroke'
},
color:'black',
data:[
[172.7,87.2],
[153.4,42]
]
},
{
name:'女性',
symbolSize:8,
type:"scatter",
data:dataWomen,
markPoint:{
data:[
{
type:'max',
name:'最大值'
},
{
type:'min',
name:"最小值"
}
]
},
markLine:{
data:[
{type:"average",name:'平均值'}
]
}
},
{
name:'男性',
symbolSize:8,
type:"scatter",
data:dataMen,
markPoint:{
data:[
{
type:'max',
name:'最大值'
},
{
type:'min',
name:"最小值"
}
]
},
markLine:{
data:[
{type:"average",name:'平均值'}
]
}

},

]
}
myChart.setOption(option)
</script>
</body>
</html>

气泡图

这是图片

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<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>Document</title>
<script src="echarts.js"></script>
<style>
.box{
height: 600px;
width: 1200px;
}
</style>
</head>
<body>
<div class="box"></div>
<script>
let box = document.querySelector(".box")
let myChart = echarts.init(box)
const data = [
[
[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]
],
[
[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]
]
];
let option = {
title:{
text:"这是一个气泡图",
left:'3%',
top:"2%"
},
toolbox:{
show:true,
feature:{
saveAsImage:{
show:true
}
}
},
xAxis:{
scale:true
},
yAxis:{
scale:true
},
legend: {
right: '10%',
top: '3%',
data: ['1990', '2015']
},
series:[
{
name:'1990',
type:"scatter",
data:data[0],
symbolSize:function(data){
return Math.sqrt(data[2])/5e2
},
emphasis:{
focus:"series",
label:{
show:true,
formatter:function(p){
return p.data[3]
}
}
},
itemStyle:{
shadowBlur: 10,
shadowColor: 'rgba(120, 36, 50, 0.5)',
shadowOffsetY: 5,
color: new echarts.graphic.RadialGradient(0.5,0.5,1,[
{
offset:0,
color:'red'
},
{
offset:1,
color:'yellow'
}
])
}
},
{

data:data[1],
name:'2015',
type:'scatter',
symbolSize:function(data){
return Math.sqrt(data[2]) /5e2
},
emphasis:{
focus:'series',
label:{
show:true,
formatter:function(p){
p.data[3]
}
}
},
itemStyle:{
shadowBlur: 10,
shadowColor: 'rgba(120, 36, 50, 0.5)',
shadowOffsetY: 5,
color:new echarts.graphic.RadialGradient(0.5,0.5,1,[
{
offset:0,
color:'green'
},
{
offset:1,
color:'black'
}
])
}

}
]
}
myChart.setOption(option)
</script>
</body>
</html>

地图

这是图片

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<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>Document</title>
<script src="echarts.js"></script>
<script src="jquery/jquery.js"></script>
<script src="map/map/json/china.json"></script>
<style>
.box{
height: 600px;
width: 1200px;
}
</style>
</head>
<body>
<div class="box"></div>
<script>
let box = document.querySelector(".box")
let myChart = echarts.init(box)
$.get("map/map/json/china.json",function(ret){
echarts.registerMap('china',ret)
let option={
toolbox:{
show:true,
feature:{
saveAsImage:{
show:true
}
}
},
geo:{
map:'china',
roam:true,
center:[103.84,36.07],
label:{
show:true
},
zoom:1,
itemStyle:{
areaColor:'pink'
}
},
series:[
{
type:'effectScatter',
data:[[103.84,36.07],[115.87,28.69]],
coordinateSystem:'geo'
}
]

}
myChart.setOption(option)
})
</script>

</body>
</html>

雷达图

这是图片

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<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>Document</title>
<script src="echarts.js"></script>
<style>
.box{
height: 600px;
width: 1200px;
}
</style>
</head>
<body>
<div class="box"></div>
<script>
let box = document.querySelector(".box")
let myChart = echarts.init(box)
let option ={
toolbox:{
show:true,
feature:{
saveAsImage:{
show:true
}
}
},
radar:[
{
indicator:[
{
name:'高中',max:9000000
},
{
name:'专科',max:5000000
},
{
name:'本科',max:3500000
},
{
name:'硕士',max:800000
},
{
name:'博士',max:20000
},
]
}
],
series:[

{
type:'radar',
data:[
{
name:'女',
value:[4400000,2700000,1600000,380000,7000]
},
{
name:'男',
value:[4600000,2300000,1900000,420000,13000]
}
]
},

]

}
myChart.setOption(option)
</script>
</body>
</html>