js的多种数值分类相加，数据先后没有顺序，不确定同类数据多少

下面是js源码片段。看的是思想。

 

<script type="text/javascript">
deg_countMyChart = function(deptcode){
    //定义图表展示数组数据
    var areatypeMyChart = [];//类型
    var mianjiaraeMyChart = [];//面积
    $.ajax({
        type : "GET",
        url : rootPath + "/areatype/getAreatypeStatisList.jspx",
        dataType : "json",
        success : function(result) {
            if(result.success){
                
                var Area=0;
                var Area1=0;
                var AreaName1="";
                
                var Area2=0;
                var AreaName2="";
                
                var Area3=0;
                var AreaName3="";
                
                var Area4=0;
                var AreaName4="";
                var j=0;
                var size = result.obj.length;
                for(var i = 0; i<size; i++){
                     var co= result.obj[i].coordinates;
                     var coordinates = stringToPointArr_arcgis(co);
                     var myPolygon = new esri.geometry.Polygon(
                                new esri.SpatialReference({wkid : 4024}));
                     myPolygon.addRing(coordinates);
                     if(myPolygon.type == "polygon") {
                     var geo = esri.geometry.webMercatorToGeographic(myPolygon);
                     Area = esri.geometry.geodesicAreas([geo], esri.Units.SQUARE_METERS);
                
                     if(result.obj[i].areatype=='0030101'){//重点监测区
                         var dd=(Area*0.0001).toFixed(2);
                         Area1= parseInt(Area1)+parseInt(dd); 
                         AreaName1=result.obj[i].areatypename;
                 }
                     if(result.obj[i].areatype=='0030102'){//重点监测区
                         var dd=(Area*0.0001).toFixed(2);
                         Area2= parseInt(Area2)+parseInt(dd); 
                         AreaName2=result.obj[i].areatypename;
                 }
                     if(result.obj[i].areatype=='0030103'){//重点监测区
                         var dd=(Area*0.0001).toFixed(2);
                         Area3= parseInt(Area3)+parseInt(dd); 
                         AreaName3=result.obj[i].areatypename;
                 }
                      if(result.obj[i].areatype=='0030104'){//重点监测区
                             var dd=(Area*0.0001).toFixed(2);
                             Area4= parseInt(Area4)+parseInt(dd); 
                             AreaName4=result.obj[i].areatypename;
                     }
                      
                     }
                     
                }
                  mianjiaraeMyChart.push(Area1);
                  areatypeMyChart.push(AreaName1);
                  mianjiaraeMyChart.push(Area2);
                  areatypeMyChart.push(AreaName2);
                  mianjiaraeMyChart.push(Area3);
                  areatypeMyChart.push(AreaName3);
                  mianjiaraeMyChart.push(Area4);
                  areatypeMyChart.push(AreaName4);
                    
                  countMyChart(areatypeMyChart,mianjiaraeMyChart);
            }
            else {
                parent.$.messager.alert('警告', result.msg, 'warning');
                return false;
            }
        }
    });
}
countMyChart = function(areatype,areatypeMyChart){
    $("#prairieDeg_count_chart").show();
    // 基于准备好的dom，初始化echarts图表
    var prairieDegMyChart = echarts.init(document.getElementById('prairieDeg_count_chart')); //内置主题（'macarons', 'infographic'）
    var option = {
        tooltip: {
            show: true
        },
        legend: {
            data:['总公顷']//','发生区','预报检测区','重点监测区
        },
        toolbox: {
            show : true,
            feature : {
                dataView : {show: true, readOnly: false},
                magicType : {show: true, type: ['line', 'bar']},
                restore : {show: true},
                saveAsImage : {show: true,name:'统计分析数据—生产力预警'}
            }
        },
        calculable : true,
        xAxis : [
            {
                "name":"区域类型",
                type : 'category',
                data :areatype,
                axisLabel:{  
                    interval:0,   
                    rotate:13, //倾斜度 -90 至 90 默认为0  
                    margin:10,
                    textStyle:{  
                        fontWeight:"bolder",  
                        color:"#000000"  
                    }
                }
            }
        ],
        yAxis : [
            {
                "name":"面积/公顷",
                type : 'value'
            }
        ],
        series : [
                  {
                      "barWidth" : "40",
                      "name":"总公顷",
                      "type":"bar",
                      "data":areatypeMyChart,//--
                      itemStyle: {
                          normal: {
                              label: {
                                  show: true,
                                  position: 'top',
                                  formatter: '{c}'
                              }
                          }
                      }
                  }
        ]
    };
    // 为echarts对象加载数据 
    prairieDegMyChart.setOption(option); 
}
</script>

},
toolbox: {
show : true,
feature : {
dataView : {show: true, readOnly: false},
magicType : {show: true, type: ['line', 'bar']},
restore : {show: true},
saveAsImage : {show: true,name:'统计分析数据—生产力预警'}
}
},
calculable : true,
xAxis : [
{
"name":"区域类型",
type : 'category',
data :areatype,
axisLabel:{
interval:0,
rotate:13, //倾斜度 -90 至 90 默认为0
margin:10,
textStyle:{
fontWeight:"bolder",
color:"#000000"
}
}
}
],
yAxis : [
{
"name":"面积/公顷",
type : 'value'
}
],
series : [
{
"barWidth" : "40",
"name":"总公顷",
"type":"bar",
"data":areatypeMyChart,//--
itemStyle: {
normal: {
label: {
show: true,
position: 'top',
formatter: '{c}'
}
}
}
}
]
};
// 为echarts对象加载数据
prairieDegMyChart.setOption(option);
}
</script>