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组合图表将两种或多种图表类型组合在一个图表中,使用户更容易解释和理解数据。
当您想要可视化完全不相关的不同类型数据(例如:价格和数量)或需要在次轴上绘制一个或多个数据系列时,此图表是理想的选择。
排列在工作表的列或行中的数据可以绘制在组合图中。您可以通过两种方式创建组合图表:1) 通过创建柱形图和 2) 通过添加系列并设置其图表类型。例如,通过添加折线图。
在下面的示例中,借助组合图描绘了男性和女性的每月注册数量和分布(这是两种不同类型的数据)。
以下代码示例显示了如何将组合图表添加到电子表格。
// initializing Spread
var spread = new GC.Spread.Sheets.Workbook(document.getElementById('ss'), { sheetCount: 3 });
// get the activesheet
var activeSheet = spread.getSheet(0);
//prepare data for chart
var dataArray = [
["", "JAN", "FEB", "MAR", "APR", "MAY", "JUN", "JUL", "AUG", "SEP", "OCT", "NOV", "DEC"],
["MEN", 327, 1776, 507, 1200, 800, 482, 204, 1390, 1001, 951, 381, 220],
["WOMEN", 709, 1917, 2455, 2610, 1719, 1433, 1544, 3285, 5208, 3372, 2484, 4078],
["TOTAL", 1036, 3693, 2962, 3810, 2519, 1915, 1748, 4675, 6209, 4323, 2865, 4298]
];
activeSheet.setArray(0, 0, dataArray);
var chartType = [{
type: GC.Spread.Sheets.Charts.ChartType.columnClusterd,
comboType: GC.Spread.Sheets.Charts.ChartType.lineMarkers
}];
// Add Combo Chart
var chart = activeSheet.charts.add('ComboChart', chartType[0].type, 10, 120, 900, 300, "A1:M3", GC.Spread.Sheets.Charts.RowCol.rows);
chart.title({ text: "Monthly Registration Number and Distribution of Men and Women" });
var seriesItem = {};
seriesItem.chartType = chartType[0].comboType;
seriesItem.border = { width: 3 };
seriesItem.name = 'A4';
seriesItem.xValues = 'B1:M1';
seriesItem.yValues = 'B4:M4';
chart.series().add(seriesItem);
var dataLabels = chart.dataLabels();
dataLabels.showValue = true;
dataLabels.showSeriesName = false;
dataLabels.showCategoryName = false;
var dataLabelPosition = GC.Spread.Sheets.Charts.DataLabelPosition;
dataLabels.position = dataLabelPosition.above;
chart.dataLabels(dataLabels);
仪表图是一种数据可视化工具,表示针对分为多个部分的刻度的单个值。该图表使用针来指示值,并有助于根据定义的标准快速可视化 KPI 的性能。仪表图在显示进度信息、目标指标、项目截止日期等方面证明非常有效。
在 SpreadJS 中,就像 Excel 一样,您可以使用组合图表通过组合圆环图和饼图来创建仪表图。
下面的示例代码展示了如何在 SpreadJS 中创建仪表图。
var spread;
window.onload = function () {
spread = new GC.Spread.Sheets.Workbook(document.getElementById("ss"), {
sheetCount: 1
});
initSpread(spread);
};
function initSpread(spread) {
var sheets = spread.sheets;
spread.suspendPaint();
var sheet1 = sheets[0];
initsheet1(sheet1);
var chart2 = initChart(sheet1, GC.Spread.Sheets.Charts.ChartType.doughnut); //add chart
chart2.title({
text: "Annual Performance"
});
adjustDoughnutSeries(chart2);
addPieSeries(chart2)
spread.resumePaint();
}
function initsheet1(sheet) {
var dataArray1 = [
['Performance Label', 'Value'],
["Poor", 20],
["Average", 50],
["Good", 20],
["Excellent", 10],
["Total", 100],
];
sheet.setArray(0, 0, dataArray1);
var dataArray2 = [
["Labels", "Values"],
["Pointer", 65],
["Thickness", 2],
["Rest", 154],
];
sheet.setArray(0, 6, dataArray2);
sheet.setFormula(3, 7, "=200-H2-H3");
sheet.name("Annual Performance");
}
function initChart(sheet, type) {
//add chart
let chart = sheet.charts.add((sheet.name() + 'Chart1'), type, 0, 250, 600, 340, "A1:B6", GC.Spread.Sheets.Charts.RowCol.column);
return chart
}
function adjustDoughnutSeries(chart) {
let doughnutSeries1 = chart.series().get(0);
doughnutSeries1.startAngle = 270;
doughnutSeries1.doughnutHoleSize = 0.5;
var dataLabels = doughnutSeries1.dataLabels || {};
dataLabels.showCategoryName = true
var dataLabelPosition = GC.Spread.Sheets.Charts.DataLabelPosition;
dataLabels.position = dataLabelPosition.outsideEnd;
doughnutSeries1.dataPoints[0] = {
backColor: "rgb(192,0,0)"
}
doughnutSeries1.dataPoints[1] = {
backColor: "rgb(255,255,0)"
}
doughnutSeries1.dataPoints[2] = {
backColor: "rgb(68,144,96)"
}
doughnutSeries1.dataPoints[3] = {
backColor: "rgb(112,173,71)"
}
doughnutSeries1.dataPoints[4] = {
backColor: ""
}
chart.series().set(0, doughnutSeries1);
var legend = chart.legend();
legend.visible = false;
chart.legend(legend);
}
function addPieSeries(chart) {
var pieSeries = {};
pieSeries.chartType = GC.Spread.Sheets.Charts.ChartType.pie;
pieSeries.name = 'G1';
pieSeries.xValues = 'G2:G4';
pieSeries.yValues = 'H2:H4';
pieSeries.axisGroup = GC.Spread.Sheets.Charts.AxisGroup.secondary;
pieSeries.startAngle = 270;
pieSeries.dataPoints = {
0: {
backColor: "",
},
1: {
backColor: "red",
},
2: {
backColor: "",
},
}
chart.series().add(pieSeries);
}