散布図

散布図は、科学的なXYデータを表示する場合に使用します。散布図を使用すると、x変数とy変数の間に何らかの関係があるかどうかを判定できます。

折れ線では、x軸はさまざまなカテゴリを表しますが、散布図のx軸は、x変数の実際の値を表します。 散布図には、水平(x)および垂直(y)の2つの値軸があります。x値とy値を組み合わせて1つのデータポイントとし、これらのデータポイント(クラスタとも呼ぶ)を不規則な間隔で表示します。散布図は通常、科学的、統計的、または工学的なデータなどの数値を表示し、比較するために使用されます。 散布図の種類 散布図:散布図には、選択したデータ範囲に基づくデータポイントが表示されます。これを分析することで、x変数とy変数との間に何らかの関係が存在するかどうかを判定します。 散布図(平滑線とマーカー):平滑線とマーカー付きの散布図では、各データポイント間が滑らかな曲線で結ばれます。 散布図(平滑線):平滑線付きの散布図では、各データポイント間が滑らかな曲線で結ばれますが、個々のデータポイントは識別されません。 散布図(直線とマーカー):直線とマーカー付きの散布図では、各データポイント間が直線で結ばれます。 散布図(直線):直線付きの散布図では、各データポイント間が直線で結ばれますが、個々のデータポイントは識別されません。 バブルチャート:バブルチャートは散布図の一種ですが、データポイントがバブルによって表現され、3番目の次元がバブルのサイズによって表されます。散布図と同じく、バブルチャートにもカテゴリ軸は使用されません。水平軸と垂直軸の両方が値軸となります。また、バブルチャートにはx値とy値に加えて、z値(バブルのサイズ)がプロットされます。 3つの系列から成るデータがあり、その個々の系列が値で構成される場合には、散布図の代わりにバブルチャートを使用できます。個々のバブルのサイズは、3番目のデータ系列の値によって決まります。バブルチャートは、財務データを表す場合にもしばしば使用されます。バブルの大きさにより、特定の値を視覚的に強調することができます。 マーカーの色、形状、境界線は、「平滑線とマーカー付きの散布図」と「直線とマーカー付き散布図」でカスタマイズできます。
window.onload = function () { var spread = new GC.Spread.Sheets.Workbook(document.getElementById("ss"), {sheetCount: 6}); initSpread(spread); }; var scatterDataArray = []; var scatterWithLineDataArray = dataArray = [["Period", "Zantedeschia", "Celosia", "Calendula"], [0, 0, 0, 0], [1, 2, 1, 1], [2, 6, 1, 2], [3, 6, 1, 2], [4, 10, 2, 2], [5, 11, 2, 2], [6, 13, 2, 3], [7, 14, 2, 4], [8, 15, 3, 5], [9, 16, 3, 7], [10, 17, 4, 9], [11, 22, 4, 11], [12, 27, 5, 12], [13, 30, 8, 13], [14, 32, 10, 14], [15, 34, 13, 15], [16, 36, 16, 15], [17, 37, 20, 15], [18, 39, 23, 15], [19, 40, 25, 15], [20, 40, 25, 15]]; function initSpread(spread) { var chartType = [{ type: GC.Spread.Sheets.Charts.ChartType.xyScatterSmoothNoMarkers, desc: "xyScatterSmoothNoMarkers", }, { type: GC.Spread.Sheets.Charts.ChartType.xyScatterSmooth, desc: "xyScatterSmooth", }, { type: GC.Spread.Sheets.Charts.ChartType.xyScatterLinesNoMarkers, desc: "xyScatterLinesNoMarkers", }, { type: GC.Spread.Sheets.Charts.ChartType.xyScatterLines, desc: "xyScatterLines", }]; var sheets = spread.sheets; spread.suspendPaint(); initXYScatterSheet(sheets[0]); initXYScatterChart(sheets[0]); for (var i = 0; i < chartType.length; i++) { var sheet = sheets[i + 1]; initSheet(sheet, chartType[i].desc); initChart(sheet, chartType[i].type);//add chart } initBubbleSheet(sheets[sheets.length - 1]); initBubbleChart(sheets[sheets.length - 1]); spread.options.tabStripRatio = 0.8; spread.resumePaint(); } function initSheet(sheet, sheetName) { sheet.name(sheetName); //prepare data for chart var dataArray = [["Period", "Zantedeschia", "Celosia", "Calendula"], [0, 0, 0, 0], [1, 2, 1, 1], [2, 6, 1, 2], [3, 6, 1, 2], [4, 10, 2, 2], [5, 11, 2, 2], [6, 13, 2, 3], [7, 14, 2, 4], [8, 15, 3, 5], [9, 16, 3, 7], [10, 17, 4, 9], [11, 22, 4, 11], [12, 27, 5, 12], [13, 30, 8, 13], [14, 32, 10, 14], [15, 34, 13, 15], [16, 36, 16, 15], [17, 37, 20, 15], [18, 39, 23, 15], [19, 40, 25, 15], [20, 40, 25, 15]]; sheet.setArray(0, 0, dataArray); } function initChart(sheet, chartType) { //add chart var chart = sheet.charts.add((sheet.name() + 'Chart1'), chartType, 280, 0, 900, 420, "A1:D22", GC.Spread.Sheets.Charts.RowCol.columns); changeGridLines(chart); if (chartType === GC.Spread.Sheets.Charts.ChartType.xyScatterSmooth || chartType === GC.Spread.Sheets.Charts.ChartType.xyScatterLines) { changeMarker(chart); } chart.title({text:"The Influence of Greenhouse Cultivation on Different Flowers"}); } // show gridLines function changeGridLines(chart) { var gridLinesAxes = chart.axes(); gridLinesAxes.primaryCategory.majorGridLine.visible = true; gridLinesAxes.primaryCategory.title.text = "Period(day)"; gridLinesAxes.primaryValue.title.text = "Number of Flowering"; chart.axes(gridLinesAxes); } // show gridLines function changeXYScatterChartGridLines(chart) { var axes = chart.axes(); axes.primaryCategory.majorGridLine.visible = true; axes.primaryCategory.min = 140; axes.primaryCategory.max = 200; axes.primaryCategory.title.text = "Height(cm)"; axes.primaryValue.min = 40; axes.primaryValue.max = 120; axes.primaryValue.title.text = "Weight(kg)"; chart.axes(axes); } function addSeries(chart, chartType) { var series1 = {}, series2 = {}; series1.name = "A1"; series1.xValues = "A3:A200"; series1.yValues = "B3:B200"; series1.chartType = chartType; series1.axisGroup = GC.Spread.Sheets.Charts.AxisGroup.primary; chart.series().add(series1); series2.name = "C1"; series2.xValues = "C3:C200"; series2.yValues = "D3:D200"; series2.chartType = chartType; series2.axisGroup = GC.Spread.Sheets.Charts.AxisGroup.primary; chart.series().add(series2); } function initXYScatterSheet(sheet) { sheet.name("xyScatter"); var femaleDataArray = [["Female", ""], ["Height", "Weight"], [161.2, 51.6], [167.5, 59.0], [159.5, 49.2], [157.0, 63.0], [155.8, 53.6], [170.0, 59.0], [159.1, 47.6], [166.0, 69.8], [176.2, 66.8], [160.2, 75.2], [172.5, 55.2], [170.9, 54.2], [172.9, 62.5], [153.4, 42.0], [160.0, 50.0], [147.2, 49.8], [168.2, 49.2], [175.0, 73.2], [157.0, 47.8], [167.6, 68.8], [159.5, 50.6], [175.0, 82.5], [166.8, 57.2], [176.5, 87.8], [170.2, 72.8], [174.0, 54.5], [173.0, 59.8], [179.9, 67.3], [170.5, 67.8], [160.0, 47.0], [154.4, 46.2], [162.0, 55.0], [176.5, 83.0], [160.0, 54.4], [152.0, 45.8], [162.1, 53.6], [170.0, 73.2], [160.2, 52.1], [161.3, 67.9], [166.4, 56.6], [168.9, 62.3], [163.8, 58.5], [167.6, 54.5], [160.0, 50.2], [161.3, 60.3], [167.6, 58.3], [165.1, 56.2], [160.0, 50.2], [170.0, 72.9], [157.5, 59.8], [167.6, 61.0], [160.7, 69.1], [163.2, 55.9], [152.4, 46.5], [157.5, 54.3], [168.3, 54.8], [180.3, 60.7], [165.5, 60.0], [165.0, 62.0], [164.5, 60.3], [156.0, 52.7], [160.0, 74.3], [163.0, 62.0], [165.7, 73.1], [161.0, 80.0], [162.0, 54.7], [166.0, 53.2], [174.0, 75.7], [172.7, 61.1], [167.6, 55.7], [151.1, 48.7], [164.5, 52.3], [163.5, 50.0], [152.0, 59.3], [169.0, 62.5], [164.0, 55.7], [161.2, 54.8], [155.0, 45.9], [170.0, 70.6], [176.2, 67.2], [170.0, 69.4], [162.5, 58.2], [170.3, 64.8], [164.1, 71.6], [169.5, 52.8], [163.2, 59.8], [154.5, 49.0], [159.8, 50.0], [173.2, 69.2], [170.0, 55.9], [161.4, 63.4], [169.0, 58.2], [166.2, 58.6], [159.4, 45.7], [162.5, 52.2], [159.0, 48.6], [162.8, 57.8], [159.0, 55.6], [179.8, 66.8], [162.9, 59.4], [161.0, 53.6], [151.1, 73.2], [168.2, 53.4], [168.9, 69.0], [173.2, 58.4], [171.8, 56.2], [178.0, 70.6], [164.3, 59.8], [163.0, 72.0], [168.5, 65.2], [166.8, 56.6], [172.7, 105.2], [163.5, 51.8], [169.4, 63.4], [167.8, 59.0], [159.5, 47.6], [167.6, 63.0], [161.2, 55.2], [160.0, 45.0], [163.2, 54.0], [162.2, 50.2], [161.3, 60.2], [149.5, 44.8], [157.5, 58.8], [163.2, 56.4], [172.7, 62.0], [155.0, 49.2], [156.5, 67.2], [164.0, 53.8], [160.9, 54.4], [162.8, 58.0], [167.0, 59.8], [160.0, 54.8], [160.0, 43.2], [168.9, 60.5], [158.2, 46.4], [156.0, 64.4], [160.0, 48.8], [167.1, 62.2], [158.0, 55.5], [167.6, 57.8], [156.0, 54.6], [162.1, 59.2], [173.4, 52.7], [159.8, 53.2], [170.5, 64.5], [159.2, 51.8], [157.5, 56.0], [161.3, 63.6], [162.6, 63.2], [160.0, 59.5], [168.9, 56.8], [165.1, 64.1], [162.6, 50.0], [165.1, 72.3], [166.4, 55.0], [160.0, 55.9], [152.4, 60.4], [170.2, 69.1], [162.6, 84.5], [170.2, 55.9], [158.8, 55.5], [172.7, 69.5], [167.6, 76.4], [162.6, 61.4], [167.6, 65.9], [156.2, 58.6], [175.2, 66.8], [172.1, 56.6], [162.6, 58.6], [160.0, 55.9], [165.1, 59.1], [182.9, 81.8], [166.4, 70.7], [165.1, 56.8], [177.8, 60.0], [165.1, 58.2], [175.3, 72.7], [154.9, 54.1], [158.8, 49.1], [172.7, 75.9], [168.9, 55.0], [161.3, 57.3], [167.6, 55.0], [165.1, 65.5], [175.3, 65.5], [157.5, 48.6], [163.8, 58.6], [167.6, 63.6], [165.1, 55.2], [165.1, 62.7], [168.9, 56.6], [162.6, 53.9], [164.5, 63.2], [176.5, 73.6], [168.9, 62.0], [175.3, 63.6], [159.4, 53.2], [160.0, 53.4], [170.2, 55.0], [162.6, 70.5], [167.6, 54.5], [162.6, 54.5], [160.7, 55.9], [160.0, 59.0], [157.5, 63.6], [162.6, 54.5], [152.4, 47.3], [170.2, 67.7], [165.1, 80.9], [172.7, 70.5], [165.1, 60.9], [170.2, 63.6], [170.2, 54.5], [170.2, 59.1], [161.3, 70.5], [167.6, 52.7], [167.6, 62.7], [165.1, 86.3], [162.6, 66.4], [152.4, 67.3], [168.9, 63.0], [170.2, 73.6], [175.2, 62.3], [175.2, 57.7], [160.0, 55.4], [165.1, 104.1], [174.0, 55.5], [170.2, 77.3], [160.0, 80.5], [167.6, 64.5], [167.6, 72.3], [167.6, 61.4], [154.9, 58.2], [162.6, 81.8], [175.3, 63.6], [171.4, 53.4], [157.5, 54.5], [165.1, 53.6], [160.0, 60.0], [174.0, 73.6], [162.6, 61.4], [174.0, 55.5], [162.6, 63.6], [161.3, 60.9], [156.2, 60.0], [149.9, 46.8], [169.5, 57.3], [160.0, 64.1], [175.3, 63.6], [169.5, 67.3], [160.0, 75.5], [172.7, 68.2], [162.6, 61.4], [157.5, 76.8], [176.5, 71.8], [164.4, 55.5], [160.7, 48.6], [174.0, 66.4], [163.8, 67.3]]; sheet.setArray(0, 0, femaleDataArray); var maleDataArray = [["Male", ""], ["Height", "Weight"], [174.0, 65.6], [175.3, 71.8], [193.5, 80.7], [186.5, 72.6], [187.2, 78.8], [181.5, 74.8], [184.0, 86.4], [184.5, 78.4], [175.0, 62.0], [184.0, 81.6], [180.0, 76.6], [177.8, 83.6], [192.0, 90.0], [176.0, 74.6], [174.0, 71.0], [184.0, 79.6], [192.7, 93.8], [171.5, 70.0], [173.0, 72.4], [176.0, 85.9], [176.0, 78.8], [180.5, 77.8], [172.7, 66.2], [176.0, 86.4], [173.5, 81.8], [178.0, 89.6], [180.3, 82.8], [180.3, 76.4], [164.5, 63.2], [173.0, 60.9], [183.5, 74.8], [175.5, 70.0], [188.0, 72.4], [189.2, 84.1], [172.8, 69.1], [170.0, 59.5], [182.0, 67.2], [170.0, 61.3], [177.8, 68.6], [184.2, 80.1], [186.7, 87.8], [171.4, 84.7], [172.7, 73.4], [175.3, 72.1], [180.3, 82.6], [182.9, 88.7], [188.0, 84.1], [177.2, 94.1], [172.1, 74.9], [167.0, 59.1], [169.5, 75.6], [174.0, 86.2], [172.7, 75.3], [182.2, 87.1], [164.1, 55.2], [163.0, 57.0], [171.5, 61.4], [184.2, 76.8], [174.0, 86.8], [174.0, 72.2], [177.0, 71.6], [186.0, 84.8], [167.0, 68.2], [171.8, 66.1], [182.0, 72.0], [167.0, 64.6], [177.8, 74.8], [164.5, 70.0], [192.0, 101.6], [175.5, 63.2], [171.2, 79.1], [181.6, 78.9], [167.4, 67.7], [181.1, 66.0], [177.0, 68.2], [174.5, 63.9], [177.5, 72.0], [170.5, 56.8], [182.4, 74.5], [197.1, 90.9], [180.1, 93.0], [175.5, 80.9], [180.6, 72.7], [184.4, 68.0], [175.5, 70.9], [180.6, 72.5], [177.0, 72.5], [177.1, 83.4], [181.6, 75.5], [176.5, 73.0], [175.0, 70.2], [174.0, 73.4], [165.1, 70.5], [177.0, 68.9], [192.0, 102.3], [176.5, 68.4], [169.4, 65.9], [182.1, 75.7], [179.8, 84.5], [175.3, 87.7], [184.9, 86.4], [177.3, 73.2], [167.4, 53.9], [178.1, 72.0], [168.9, 55.5], [157.2, 58.4], [180.3, 83.2], [170.2, 72.7], [177.8, 64.1], [172.7, 72.3], [165.1, 65.0], [186.7, 86.4], [165.1, 65.0], [174.0, 88.6], [175.3, 84.1], [185.4, 66.8], [177.8, 75.5], [180.3, 93.2], [180.3, 82.7], [177.8, 58.0], [177.8, 79.5], [177.8, 78.6], [177.8, 71.8], [177.8, 116.4], [163.8, 72.2], [188.0, 83.6], [198.1, 85.5], [175.3, 90.9], [166.4, 85.9], [190.5, 89.1], [166.4, 75.0], [177.8, 77.7], [179.7, 86.4], [172.7, 90.9], [190.5, 73.6], [185.4, 76.4], [168.9, 69.1], [167.6, 84.5], [175.3, 64.5], [170.2, 69.1], [190.5, 108.6], [177.8, 86.4], [190.5, 80.9], [177.8, 87.7], [184.2, 94.5], [176.5, 80.2], [177.8, 72.0], [180.3, 71.4], [171.4, 72.7], [172.7, 84.1], [172.7, 76.8], [177.8, 63.6], [177.8, 80.9], [182.9, 80.9], [170.2, 85.5], [167.6, 68.6], [175.3, 67.7], [165.1, 66.4], [185.4, 102.3], [181.6, 70.5], [172.7, 95.9], [190.5, 84.1], [179.1, 87.3], [175.3, 71.8], [170.2, 65.9], [193.0, 95.9], [171.4, 91.4], [177.8, 81.8], [177.8, 96.8], [167.6, 69.1], [167.6, 82.7], [180.3, 75.5], [182.9, 79.5], [176.5, 73.6], [186.7, 91.8], [188.0, 84.1], [188.0, 85.9], [177.8, 81.8], [174.0, 82.5], [177.8, 80.5], [171.4, 70.0], [185.4, 81.8], [185.4, 84.1], [188.0, 90.5], [188.0, 91.4], [182.9, 89.1], [176.5, 85.0], [175.3, 69.1], [175.3, 73.6], [188.0, 80.5], [188.0, 82.7], [175.3, 86.4], [170.5, 67.7], [179.1, 92.7], [177.8, 93.6], [175.3, 70.9], [182.9, 75.0], [170.8, 93.2], [188.0, 93.2], [180.3, 77.7], [177.8, 61.4], [185.4, 94.1], [168.9, 75.0], [185.4, 83.6], [180.3, 85.5], [174.0, 73.9], [167.6, 66.8], [182.9, 87.3], [160.0, 72.3], [180.3, 88.6], [167.6, 75.5], [186.7, 101.4], [175.3, 91.1], [175.3, 67.3], [175.9, 77.7], [175.3, 81.8], [179.1, 75.5], [181.6, 84.5], [177.8, 76.6], [182.9, 85.0], [177.8, 102.5], [184.2, 77.3], [179.1, 71.8], [176.5, 87.9], [188.0, 94.3], [174.0, 70.9], [167.6, 64.5], [170.2, 77.3], [167.6, 72.3], [188.0, 87.3], [174.0, 80.0], [176.5, 82.3], [180.3, 73.6], [167.6, 74.1], [188.0, 85.9], [180.3, 73.2], [167.6, 76.3], [183.0, 65.9], [183.0, 90.9], [179.1, 89.1], [170.2, 62.3], [177.8, 82.7], [179.1, 79.1], [190.5, 98.2], [177.8, 84.1], [180.3, 83.2], [180.3, 83.2]]; sheet.setArray(0, 2, maleDataArray); } function initXYScatterChart(sheet) { var chartType = GC.Spread.Sheets.Charts.ChartType.xyScatter; //add chart var chart = sheet.charts.add((sheet.name() + 'Chart1'), chartType, 280, 0, 900, 420, null); addSeries(chart, chartType); changeXYScatterChartGridLines(chart); chart.title({text:"Male and Female Height and Weight Distribution"}); } function initBubbleSheet(sheet) { sheet.name('Bubble'); //prepare data for chart var dataArray = [ [28604, 77, 17096869, 74, 67096869], [41163, 77.4, 27662440, 71.8, 47662440], [3516, 68, 1154605773, 78, 1654605773], [13670, 74.7, 10582082, 72.7, 69582082], [28599, 75, 4986705, 79, 1986705], [29476, 77.1, 56943299, 82.1, 26943299], [31476, 75.4, 78958237, 79.4, 98958237], [28666, 78.1, 254830, 74.1, 954830], [4777, 57.7, 870601776, 67.7, 570601776], [29550, 79.1, 122249285, 82.1, 22249285], [5076, 67.9, 20194354, 64.9, 40194354], [12087, 72, 42972254, 76, 342972254], [24021, 75.4, 3397534, 78.4, 1397534], [48296, 76.8, 4240375, 78.8, 14240375], [10088, 70.8, 38195258, 78.8, 18195258], [19349, 69.6, 147568552, 77.6, 234568552], [10670, 67.3, 53994605, 77.3, 83994605], [26424, 75.7, 57110117, 83.7, 86110117], [37062, 75.4, 252847810, 80.4, 652847810], [49056, 81.8, 23968973, 79.8, 63968973], [43294, 81.7, 35939927, 78.7, 15939927], [13334, 76.9, 1376048943, 80.9, 976048943], [21291, 78.5, 11389562, 82.5, 151389562], [38923, 80.8, 5503457, 76.8, 1503457], [57599, 81.9, 64395345, 75.9, 34395345], [49053, 81.1, 80688545, 75.1, 20688545], [42182, 82.8, 329425, 83.8, 1329425], [5903, 66.8, 1311050527, 65.8, 311050527], [36162, 83.5, 126573481, 85.5, 326573481], [4390, 71.4, 25155317, 77.4, 55155317], [34644, 80.7, 50293439, 83.7, 20293439], [24186, 80.6, 4528526, 78.6, 13528526], [64304, 81.6, 5210967, 83.6, 3210967], [24787, 77.3, 38611794, 74.3, 88611794], [23038, 73.13, 143456918, 76.13, 83456918], [19360, 76.5, 78665830, 79.5, 58665830], [58225, 81.4, 64715810, 76.4, 84715810], [53354, 79.1, 321773631, 83.1, 721773631] ]; sheet.setArray(0, 0, dataArray); } function initBubbleChart(sheet) { var chart = sheet.charts.add('BubbleChart1', GC.Spread.Sheets.Charts.ChartType.bubble, 280, 0, 620, 400, "A1:E38", GC.Spread.Sheets.Charts.RowCol.columns); changeBubbleGridLines(chart); changeBubbleBackColor(chart); changePrimaryCategoryMin(chart); } // hide bubble gridLines function changeBubbleGridLines(chart) { var gridLinesAxes = chart.axes(); gridLinesAxes.primaryCategory.majorGridLine.visible = false; gridLinesAxes.primaryValue.majorGridLine.visible = false; chart.axes(gridLinesAxes); } //change bubble backColor function changeBubbleBackColor(chart) { var series = chart.series().get(); var seriesColors = ['rgba(25, 183, 207, 0.6)', 'rgba(251, 118, 123, 0.6)']; for (var i = 0; i < series.length; i++) { var seriesItem = series[i]; seriesItem.backColor = seriesColors[i]; chart.series().set(i, seriesItem); } } // change primary min num function changePrimaryCategoryMin(chart) { var gridLinesAxes = chart.axes(); gridLinesAxes.primaryValue.min = 50; gridLinesAxes.primaryValue.max = 88; chart.axes(gridLinesAxes); } // change Marker function changeMarker(chart) { var preSet = [ { fill: "", shape: 0 /** circle */, size: 7, border: { color: "blue", width: 1 } }, { fill: "", shape: 8/** star */, size: 9, border: { color: "black", width: 1 } }, { fill: "yellow", shape: 2 /** diamond */, size: 7, border: { color: "red", width: 2 } }, ]; var series = chart.series().get(); var seriesItem; for (var i = 0; i < series.length; i++) { seriesItem = series[i]; seriesItem.symbol = preSet[i]; chart.series().set(i, seriesItem); } }
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