Chartjs条形图按键分组对象

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。数据如下：

[{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，我需要在 x 轴上为用户创建一个图表，其中包含用户每个状态的计数。它可以在 Chartjs 中通过具有如下数据集的数组轻松完成：

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;
   }

}

但我认为这个有问题。如果他们创建另一个状态怎么办？待办的。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这些数据吗？

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

示例

Chart.js 要求数据格式如下：

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]
        },

    ]

}

所以，这里发生的情况是，对于labels 中的每个item，status 都有一个count，即data 数组中的label 在datasets 数组中。例如：dataAppealed 的数组 label：1 是 count 的 appealed 的 Joe，其余为 0 对于所有其他用户。

Answer 1

您可以使用哈希表作为对具有相同 status 的数组的引用，并使用另一个哈希表作为名称索引。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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