在 Google 柱形图中按年份汇总类别

Question

我有一个数据表，其中包含过去 3 年的汽车销量。我想创建一个柱形图，其中包含每年的“租赁”、“融资”和“现金销售”列。

我的表格有两列，一列销售日期，一列销售类型。

到目前为止我有：

var groupedData = google.visualization.data.group(
    googleDataTable,
    [ { column: 0, modifier: getYearForRow, type: 'string', label: 'Year'} ],
    [ { column: 1, type: 'string', label: 'Type'} ] );

这不起作用，我收到错误“TypeError：无法读取未定义的属性'调用'”。关于如何让它发挥作用的任何建议？

Answer 1

首先，为每个销售类型构建一个包含列的DataView

然后使用group方法聚合视图

请参阅以下工作 sn-p...

google.charts.load('current', {
  callback: drawChart,
  packages:['corechart']
});

function drawChart() {
  var data = google.visualization.arrayToDataTable([
    ['Sale Date', 'Sale Type'],
    [new Date(2016, 0, 16), 'cash sale'],
    [new Date(2016, 0, 16), 'cash sale'],
    [new Date(2016, 0, 16), 'leased'],
    [new Date(2016, 0, 16), 'leased'],
    [new Date(2016, 0, 16), 'financed'],
    [new Date(2017, 0, 16), 'cash sale'],
    [new Date(2017, 0, 16), 'cash sale'],
    [new Date(2017, 0, 16), 'cash sale'],
    [new Date(2017, 0, 16), 'financed'],
    [new Date(2016, 0, 17), 'cash sale'],
    [new Date(2016, 0, 17), 'financed'],
    [new Date(2016, 0, 17), 'cash sale'],
    [new Date(2016, 0, 17), 'leased'],
    [new Date(2016, 0, 17), 'financed'],
    [new Date(2017, 0, 17), 'financed'],
    [new Date(2017, 0, 17), 'financed'],
    [new Date(2017, 0, 17), 'cash sale'],
    [new Date(2017, 0, 17), 'financed'],
    [new Date(2016, 0, 18), 'leased'],
    [new Date(2016, 0, 18), 'cash sale'],
    [new Date(2017, 0, 18), 'cash sale'],
    [new Date(2017, 0, 18), 'cash sale']
  ]);

  // build view and aggregation columns
  var viewColumns = [{
    label: 'year',
    type: 'string',
    calc: function (dt, row) {
      return dt.getValue(row, 0).getFullYear().toString();
    }
  }];
  var aggColumns = [];
  var saleTypes = data.getDistinctValues(1);
  saleTypes.forEach(function (saleType) {
    var colIndex = viewColumns.push({
      label: saleType,
      type: 'number',
      calc: function (dt, row) {
        return (dt.getValue(row, 1) === saleType) ? 1 : 0;
      }
    });
    aggColumns.push({
      aggregation: google.visualization.data.sum,
      column: colIndex - 1,
      label: saleType,
      type: 'number'
    });
  });

  var view = new google.visualization.DataView(data);
  view.setColumns(viewColumns);

  var summary = google.visualization.data.group(
    view,
    [0],
    aggColumns
  );

  var container = document.body.appendChild(document.createElement('div'));
  var chart = new google.visualization.ColumnChart(container);
  chart.draw(summary, {
    legend: {
      position: 'top'
    }
  });
}

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