按 Chartjs 条形图的键对对象进行分组

Question

我正在尝试使用 Chart.js 创建条形图。我在尝试根据每个用户的状态创建分组条形图时遇到了困难。所以这是数据：

[{statusId: 0, firstName: "Joe", status: "appealed", count: 1},
{statusId: 0, firstName: "Jane", status: "approved", count: 100},
{statusId: 0, firstName: "Smith", status: "approved", count: 63},
{statusId: 0, firstName: "Mike", status: "approved", count: 63},
{statusId: 0, firstName: "Ken", status: "approved", count: 35},
{statusId: 0, firstName: "Kim", status: "approved", count: 193},
{statusId: 0, firstName: "Joe", status: "approved", count: 1},
{statusId: 0, firstName: "Jane", status: "closed", count: 1},
{statusId: 0, firstName: "Joe", status: "concluded", count: 1},
{statusId: 0, firstName: "Jane", status: "denied", count: 6},
{statusId: 0, firstName: "Smith", status: "denied", count: 9},
{statusId: 0, firstName: "Mike", status: "denied", count: 1},
{statusId: 0, firstName: "Mark", status: "denied", count: 8},
{statusId: 0, firstName: "Ken", status: "denied", count: 2},
{statusId: 0, firstName: "Kim", status: "denied", count: 20},
{statusId: 0, firstName: "Joe", status: "denied", count: 2},
{statusId: 0, firstName: "Joe", status: "transferred", count: 1}]

根据这些数据，我需要为 x 轴上的用户创建一个图表，其中包含用户的每个状态的计数。通过使用如下所示的数据集数组，可以在 Chartjs 中轻松完成：

datasets:[{
      data: [//some counts for a group],
     },
     {
       data: [// counts for another group],
     }
    // and so on
}]

问题是我需要根据状态对这些数据进行分组。所以，我能想到的一种解决方案是：

angular.forEeach(data, function(val)){ 
   switch(val.status){
       case 'approved':
        // add count to an approved count array
        break;
       case 'appealed':
       // add count to appealed count array
       break;
   }

}

但是我觉得这个有问题。如果他们创建另一个状态（例如待处理）怎么办。然后我将不得不返回并更改代码。无论如何我可以按状态对对象进行分组并为每个组创建一个计数数据数组，然后我可以在数据集中使用？

我刚刚注册了 javascript 课程，所以我仍然需要一段时间来学习高级 javascript。与此同时，谁能告诉我解决这个难题的正确有效的方法吗？

例子

Chart.js 要求数据采用以下格式：

var data = {
    labels: ['Joe', 'Jane', 'Smith', 'Mike', 'Ken', 'Kim', 'Mark'],
    datasets: [
        {
            label: 'Appealed',
            fillColor: '#382765',
            data: [1,0,0,0,0,0,0]
        },
        {
            label: 'Approved',
            fillColor: '#7BC225',
            data: [1, 100, 63, 63, 35, 193,0]
        },
        {
            label: 'Denied',
            fillColor: '#2196F3',
            data: [2, 6, 9, 1, 2, 20, 8]
        },

    ]

}

因此，这里发生了什么是每个item中labels有一个count为status即label在data阵列内部的datasets阵列。为例如：data阵列，用于Appealed label：1是count的appealed用于Joe和其余为0，所有其他用户。

Answer 1

您可以使用哈希表作为对具有相同status名称的索引的另一个哈希表的数组的引用。然后构建标签数组和数据集。

var raw = [{ statusId: 0, firstName: "Joe", status: "appealed", count: 1 }, { statusId: 0, firstName: "Jane", status: "approved", count: 100 }, { statusId: 0, firstName: "Smith", status: "approved", count: 63 }, { statusId: 0, firstName: "Mike", status: "approved", count: 63 }, { statusId: 0, firstName: "Ken", status: "approved", count: 35 }, { statusId: 0, firstName: "Kim", status: "approved", count: 193 }, { statusId: 0, firstName: "JoeJoe", status: "approved", count: 1 }, { statusId: 0, firstName: "Jane", status: "closed", count: 1 }, { statusId: 0, firstName: "Joe", status: "concluded", count: 1 }, { statusId: 0, firstName: "Jane", status: "denied", count: 6 }, { statusId: 0, firstName: "Smith", status: "denied", count: 9 }, { statusId: 0, firstName: "Mike", status: "denied", count: 1 }, { statusId: 0, firstName: "Mark", status: "denied", count: 8 }, { statusId: 0, firstName: "Ken", status: "denied", count: 2 }, { statusId: 0, firstName: "Kim", status: "denied", count: 20 }, { statusId: 0, firstName: "Joe", status: "denied", count: 2 }, { statusId: 0, firstName: "Joe", status: "transferred", count: 1 }],
    nameIndices = Object.create(null),
    statusHash = Object.create(null),
    data = { labels: [], datasets: [] };

raw.forEach(function (o) {
    if (!(o.firstName in nameIndices)) {
        nameIndices[o.firstName] = data.labels.push(o.firstName) - 1;
        data.datasets.forEach(function (a) { a.data.push(0); });
    }
    if (!statusHash[o.status]) {
        statusHash[o.status] = { label: o.status, fillcolor: 'f00', data: data.labels.map(function () { return 0; }) };
        data.datasets.push(statusHash[o.status]);
    }
    statusHash[o.status].data[nameIndices[o.firstName]] = o.count;
});

console.log(data);

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