Javascript 我只需要建立一个像这样的分散图？我尝试过谷歌图表，但可以'；我想不出正确的答案

基于区间（范围）值的散乱图

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你试过海图了吗

以下是您需要的一个片段

$（函数（）{
$（“#容器”）。高图({
标题：{
文字：“身高与体重”
},
副标题:{
文字：“高图中的多边形系列”
},
xAxis：{
网格线宽度：1，
标题：{
启用：对，
文字：“高度（厘米）”
},
是的，
恩东蒂克：是的，
showLastLabel:true
},
亚克斯：{
标题：{
正文：“重量（kg）”
}
},
图例：{
布局：“垂直”，
对齐：“右”，
垂直排列：“中间”
},
系列：[{
名称：'观察'，
键入：“散布”，
颜色：Highcharts.getOptions（）.color[1]，
数据：[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]]
}],
工具提示：{
headerFormat:“{series.name}
”，
pointFormat:“{point.x}cm，{point.y}kg”
}
});
});

<%@ Page Language="C#" Debug="true" %>
<%@ Import Namespace="ChartDirector" %>
<%@ Register TagPrefix="chart" Namespace="ChartDirector" Assembly="netchartdir" %>

<!DOCTYPE html>

<script runat="server">

//
// Page Load event handler
//
protected void Page_Load(object sender, EventArgs e)
{
    // The number of stage 1, stage 2 and stage 3 dots in each category
    int[] category1 = {5, 0, 0};
    int[] category2 = {2, 5, 0};
    int[] category3 = {2, 2, 3};
    int[][] allCategories = { category1, category2, category3 };

    string[] categoryNames = { "5 - 10", "10 - 30", "30 - 45" };
    string[] yNames = { "Stage 1", "Stage 2", "Stage 3" };

    XYChart c = new XYChart(500, 400);
    c.setPlotArea(75, 30, 400, 300, -1, -1, 0xc0c0c0, Chart.Transparent, 0xc0c0c0);

    c.xAxis().setLabels(categoryNames);
    c.xAxis().setLabelOffset(0.5);
    c.xAxis().setLinearScale(0, 3, Chart.NoValue);
    c.xAxis().setLabelStyle("Arial Bold", 10);
    c.xAxis().setWidth(2);

    c.yAxis().setLabels(yNames);
    c.yAxis().setLinearScale(0, 2, Chart.NoValue);
    c.yAxis().setIndent(true);
    c.yAxis().setLabelStyle("Arial Bold", 10);
    c.yAxis().setWidth(2);

    for (int j = 0; j < allCategories.Length; ++j)
    {
        int[] category = allCategories[j];
        for (int i = 0; i < category.Length; ++i)
        {
            double[] data =  new double[category[i]];
            if (data.Length > 0)
            {
                for (int k = 0; k < data.Length; ++k) data[k] = i;
                c.addScatterLayer(null, data, "", Chart.CircleSymbol, 13, 0x2266cc, 0x2266cc)
                    .setXData(j + 0.75 / data.Length, j + 1 - 0.75 / data.Length);
            }
        }
    }

    WebChartViewer1.Image = c.makeWebImage(Chart.PNG);
}

</script>

<html>
<body>
    <chart:WebChartViewer id="WebChartViewer1" runat="server" />
</body>
</html>