/// <summary>
///
/// </summary>
/// <returns></returns>
protected override NWidget CreateExampleContent()
{
NChartView chartView = CreateCartesianChartView();
// configure title
chartView.Surface.Titles[0].Text = "Standard Box and Whiskers";
// configure chart
m_Chart = (NCartesianChart)chartView.Surface.Charts[0];
m_Chart.SetPredefinedCartesianAxes(ENPredefinedCartesianAxis.XOrdinalYLinear);
NLinearScale linearScale = (NLinearScale)m_Chart.Axes[ENCartesianAxis.PrimaryY].Scale;
// add interlace stripe
NScaleStrip strip = new NScaleStrip(new NColorFill(NColor.Beige), null, true, 0, 0, 1, 1);
strip.Interlaced = true;
linearScale.Strips.Add(strip);
m_BoxAndWhiskerSeries = new NBoxAndWhiskerSeries();
m_BoxAndWhiskerSeries.WidthMode = ENBarWidthMode.FixedWidth;
m_Chart.Series.Add(m_BoxAndWhiskerSeries);
m_BoxAndWhiskerSeries.Fill = new NStockGradientFill(ENGradientStyle.Vertical, ENGradientVariant.Variant4, NColor.LightYellow, NColor.DarkOrange);
m_BoxAndWhiskerSeries.DataLabelStyle = new NDataLabelStyle(false);
m_BoxAndWhiskerSeries.MedianStroke = new NStroke(NColor.Indigo);
m_BoxAndWhiskerSeries.AverageStroke = new NStroke(1, NColor.DarkRed, ENDashStyle.Dot);
m_BoxAndWhiskerSeries.OutlierStroke = new NStroke(NColor.DarkCyan);
m_BoxAndWhiskerSeries.OutlierFill = new NColorFill(NColor.Red);
GenerateData(m_BoxAndWhiskerSeries, 7);
return(chartView);
}
private void GenerateData(NBoxAndWhiskerSeries series, int nCount)
{
series.DataPoints.Clear();
Random random = new Random();
for (int i = 0; i < nCount; i++)
{
double boxLower = 1000 + random.NextDouble() * 200;
double boxUpper = boxLower + 200 + random.NextDouble() * 200;
double whiskersLower = boxLower - (20 + random.NextDouble() * 300);
double whiskersUpper = boxUpper + (20 + random.NextDouble() * 300);
double IQR = (boxUpper - boxLower);
double median = boxLower + IQR * 0.25 + random.NextDouble() * IQR * 0.5;
double average = boxLower + IQR * 0.25 + random.NextDouble() * IQR * 0.5;
int outliersCount = random.Next(5);
double[] outliers = new double[outliersCount];
for (int k = 0; k < outliersCount; k++)
{
double outlier = 0;
if (random.NextDouble() > 0.5)
{
outlier = boxUpper + IQR * 1.5 + random.NextDouble() * 100;
}
else
{
outlier = boxLower - IQR * 1.5 - random.NextDouble() * 100;
}
outliers[k] = outlier;
}
series.DataPoints.Add(new NBoxAndWhiskerDataPoint(i, boxUpper, boxLower, median, average, whiskersUpper, whiskersLower, outliers, string.Empty));
}
}
