Csv 如何使用dc.js创建饼图

我正在使用Dimensional Charting javascript库dc.js制作一个piechart，它基于d3和交叉过滤器。我是dc.js库的新手。我正在尝试使用csv文件显示piechart。我不知道如何按照csv格式创建piechart

我的csv列格式是

 Age_19_Under   Age_19_64   Age_65_84   Age_85_and_Over
    26.9              62.3            9.8               0.9
    23.5              60.3            14.5              1.8
    24.3              62.5            11.6              1.6
    24.6              63.3            10.9              1.2
    24.5              62.1            12.1              1.3
    24.7              63.2            10                2.2
    25.6              58.5            13.6              2.4
    24.1              61.6            12.7              1.5
    24.8              59.5            13.5              2.2

我想绘制下图：

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基本问题是，您的数据的“形状”与您想要的图表类型不符。您希望当前的列标题实际包含在数据中，以便可以根据它们进行分组。我想有一种更优雅的方式来重塑数据，但我在下面的内容应该很容易理解。一旦这些标签是实际数据而不是元数据，剩下的就相当简单了

var experiments = [
    { Age_19_Under: 26.9, Age_19_64: 62.3, Age_65_84: 9.8, Age_85_and_Over: 0.9 },
    { Age_19_Under: 23.5, Age_19_64: 60.3, Age_65_84: 14.5, Age_85_and_Over: 1.8 },
    { Age_19_Under: 24.3, Age_19_64: 62.5, Age_65_84: 11.6, Age_85_and_Over: 1.6 },
    { Age_19_Under: 24.6, Age_19_64: 63.3, Age_65_84: 10.9, Age_85_and_Over: 1.2 },
    { Age_19_Under: 24.5, Age_19_64: 62.1, Age_65_84: 12.1, Age_85_and_Over: 1.3 },
    { Age_19_Under: 24.7, Age_19_64: 63.2, Age_65_84: 10.0, Age_85_and_Over: 2.2 },
    { Age_19_Under: 25.6, Age_19_64: 58.5, Age_65_84: 13.6, Age_85_and_Over: 2.4 },
    { Age_19_Under: 24.1, Age_19_64: 61.6, Age_65_84: 12.7, Age_85_and_Over: 1.5 },
    { Age_19_Under: 24.8, Age_19_64: 59.5, Age_65_84: 13.5, Age_85_and_Over: 2.2 },
];

// Reshape the data 
var categoryList = new Array();
experiments.forEach(function (exp) {
    categoryList.push({ Category: "Age_19_Under", Value: exp.Age_19_Under });
    categoryList.push({ Category: "Age_19_64", Value: exp.Age_19_64 });
    categoryList.push({ Category: "Age_65_84", Value: exp.Age_65_84 });
    categoryList.push({ Category: "Age_85_and_Over", Value: exp.Age_85_and_Over });
});

// Setup crossfilter
var ndx = crossfilter(categoryList);
var categoryDim = ndx.dimension(function (d) { return d.Category; });
var valueSumGroup = categoryDim.group().reduceSum(function (d) { return d.Value; });

// Create the chart
var pieChart = dc.pieChart("#chartid");
pieChart
    .dimension(categoryDim)
    .group(valueSumGroup)
    .radius(100)
;

dc.renderAll();