分组和堆积柱形图(Grouped and Stacked Column Chart)

我有一个服务返回JSON这样的：

{
  "data": [
    {
      "portfolio": "Portfolio 01",
      "REGN_NME": "Africa/Middle E",
      "Regn_Group": "Emerging",
      "sector": "Sector 08",
      "exposure": 0.109977544284
    },
    {
      "portfolio": "Portfolio 01",
      "REGN_NME": "Americas",
      "Regn_Group": "Frontier",
      "sector": "Sector 06",
      "exposure": 1.78919403995e-09
    },
    ...
]}

我想产生一个分组并堆积柱形图。我需要一群以“组合”，由“Regn_Group”，并汇总“曝光”叠加。

我能得到图表要么堆，或组，但不能同时使用。

以下是我迄今为止

<script id="toolTipTemplate" type="text/x-kendo-tmpl">
    #= series.name # - #= kendo.toString(value || 0,'p2') #
</script>
<script type="text/javascript">
    $(function() {           
        $("#chart1").kendoChart({
            title: {text: "Portfolio Sector Exposure"},
            dataSource: {
                transport: {
                    read: {
                        url:"exposure2.json"
                    }
                },
                schema: {
                    data: "data"
                },
                group: [{
                    field: "portfolio"
                }],
                stack: "Regn_Group"                 
            },
            legend:{
                position:"bottom"
            },
            series: [{
                type: "column",
                field: "exposure",
                categoryField: "sector",
                aggregate: "sum"
            }],
            tooltip: {
                visible: true,
                template: $("#toolTipTemplate").html(),
            }
        });
    });
</script>

根据该文件，汇总功能仅适用于日期系列： http://docs.telerik.com/kendo-ui/api/javascript/dataviz/ui/chart#configuration-series.aggregate

对于堆叠：

试着增加堆栈：在图表的系列性质为真：

   series: [{
       type: "column",
       name: "#= group.value #",
       field: "exposure",
       stack: true
   }],

更新不评论：

您可以使用数据源对象分组转换数据和获取事件建立单独的系列和堆栈：

  theseries = [];
  thesectors = [];

  var dataDS = new kendo.data.DataSource({
        data: monthly, //the raw JSON Data
        group: [              
          {field: "portfolio"},
          {field: "Regn_Group"},
        ],
        sort: { field: "sector", dir: "asc" }
  });


  //convert the data
  dataDS.fetch(function(){
    var view = dataDS.view();

    for (i = 0; i < view.length; i++) {            
      var portfolio = view[i];
      for (p = 0; p < portfolio.items.length; p++) { 
          var regn = portfolio.items[p];

          var series = {};
          series.name = regn.value;
          series.stack = portfolio.value;
          series.data = [];

          for (j=0; j<regn.items.length; j++){
            var data = regn.items[j];
            if (i==0 && p==0) {
               thesectors.push(data.sector);
            }
            series.data.push(data.exposure)            
          }
          theseries.push(series);
      }          
    }
  });