dc.js:堆叠的条形图无法显示 [英] dc.js: stacked barchart cant display

问题描述

我正在使用基于d3和crossfilter的Dimensional Charting javascript库dc.js制作堆叠的条形图.我是dc.js库的新手.我正在尝试使用csv文件显示堆叠的条形图.我不明白如何按照csv格式创建堆叠的条形图.

I'm making a stacked barchart using the Dimensional Charting javascript library dc.js, which is based on d3 and crossfilter. I am new in dc.js library. I am trying to display the stacked barchart using a csv file. I can't understand how to create a stacked barchart following the csv format.

State_Name   Age_19_Under   Age_19_64   Age_65_84   
 AL      26.9             62.3            9.8               
 AL      23.5             60.3            14.5              
 NW      24.3             62.5            11.6              
 NW      24.6             63.3            10.9              
 BR      24.5             62.1            12.1              
 BR      24.7             63.2            10               
 GH      25.6             58.5            13.6             
 GH      24.1             61.6            12.7             
 KS      24.8             59.5            13.5              

我正在尝试以下代码:

<script type="text/javascript">
   var stacked = dc.barChart("#chart");
  d3.csv("{% static 'sampledata/healthdata111.csv' %}", function(error, experiments) {

   var ndx = crossfilter(experiments);
   var all = ndx.groupAll();

   var stateDim=ndx.dimension(function (d){
    return d.State_Name;
   });

   var eventsByDate = stateDim.group().reduce(
        function (p, v) {
            p.Age_19_Under += v.Age_19_Under;
            p.Age_19_64 += v.Age_19_64;
            p.Age_65_84 += v.Age_65_84;
            return p;
        },
        function (p, v) {
            p.Age_19_Under -= v.Age_19_Under;
            p.Age_19_64 -= v.Age_19_64;
            p.Age_65_84 -= v.Age_65_84;
            return p;
        },
        function () {
            return {
                Age_19_Under: 0,
                Age_19_64: 0,
                Age_65_84: 0
            };
        }
  );

  var colorRenderlet = function (chart) {
    chart.selectAll("rect.bar")
            .on("click", function (d) {
                function setAttr(selection, keyName) {
                    selection.style("fill", function (d) {
                        if (d[keyName] == "Age_19_Under") return "#63D3FF";
                        else if (d[keyName] == "Age_19_64") return "#FF548F";
                        else if (d[keyName] == "Age_65_84") return "#9061C2";
                    });
                }
                setAttr(_chart.selectAll("g.stack").selectAll("rect.bar"), "layer");
                setAttr(_chart.selectAll("g.dc-legend-item").selectAll("rect"), "name")
            });
};

 stacked
        .margins({top: 50, right: 20, left: 50, bottom: 50})
        .width(500)
        .height(200)
        .gap(50)
        .dimension(stateDim)
        .group(eventsByDate, "Age_19_Under")
        .valueAccessor(function (d) {
            return d.value.Age_19_Under;
        })
        .stack(eventsByDate, "Age_19_64", function (d) {
            return d.value.Age_19_64;
        })
        .stack(eventsByDate, "Age_65_84", function (d) {
            return d.value.Age_65_84;
        })
        .x(d3.time.scale().domain([0,5000]))
        .xUnits(d3.time.days)
        .centerBar(true)
        .elasticY(true)
        .brushOn(false)
        .renderlet(colorRenderlet);
       // .legend(dc.legend().x(100).y(0).itemHeight(13).gap(5));

     dc.renderAll();

  });

</script>

推荐答案

我不确定您要尝试与事件处理程序进行哪种类型的交互，因此撇开这一点，我认为您可以简化操作为每个年龄类别创建一个单独的组.

I'm not sure what kind of interaction you're trying implement with the event handler, so setting that aside, I think you can simplify things if you just create a separate group for each age category.

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

var ndx = crossfilter(experiments);

var stateDim = ndx.dimension(function (d) { return d.State_Name; });
var age19UnderGroup = stateDim.group().reduceSum(function (d) { return d.Age_19_Under; });
var age19To64Group = stateDim.group().reduceSum(function (d) { return d.Age_19_64; });
var age65To84Group = stateDim.group().reduceSum(function (d) { return d.Age_65_84; });
var age85AndOverGroup = stateDim.group().reduceSum(function (d) { return d.Age_85_and_Over; });

var stackedBarChart = dc.barChart("#chart-row-Poverty1");

stackedBarChart
    .dimension(stateDim)
    .group(age19UnderGroup)
    .x(d3.scale.ordinal())
    .xUnits(dc.units.ordinal)
    .stack(age19To64Group)
    .stack(age65To84Group)
    .stack(age85AndOverGroup)
;

dc.renderAll();

请注意，如果以这种方式进行操作，则必须将四个组之一分配给基本图表才能开始工作.然后，剩下的三个图表就堆放在它上面.

Note that if you do it this way you have to assign one of your four groups to the base chart to get things started. The three remaining charts then just stack on top of it.

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