/// <summary>
/// Produce plots for graphical display.
/// NOTE: The threshold can be changed later.
/// </summary>
/// <returns>A list of graphical plots.</returns>
private static List <Plot> GetPlots(Dictionary <string, double[]> contentDictionary)
{
double threshold = 0.25;
var plotDict = DataProcessing.ConvertArraysToPlots(contentDictionary, threshold);
var contentPlots = DataProcessing.ConvertPlotDictionaryToPlotList(plotDict);
// convert scores to z-scores
//contentPlots = DataProcessing.SubtractMeanPlusSd(contentPlots);
//the following did not work as well.
//contentPlots = DataProcessing.SubtractModeAndSd(contentPlots);
// Use percentile thresholding followed by normalize in 0,1.
contentPlots = DataProcessing.PercentileThresholding(contentPlots, 90);
return(contentPlots);
}