private Significance Compare(CoreDataSet data, CoreDataSet parent, int polarity)
{
var comparer = new DoubleOverlappingCIsComparer
{
PolarityId = polarity
};
return comparer.Compare(data, parent, null);
}
public List<SparklineRoot> BuildRoots(string parentAreaCode, int areaTypeId,
int profileId, int groupId, IList<string> dataTypes, int sexId)
{
var groupIds = profileReader.GetProfile(profileId).GroupIds;
IList<IArea> childAreas = areasReader
.GetChildAreas(parentAreaCode, areaTypeId).Cast<IArea>().ToList();
childAreas = IgnoredAreasFilterFactory.New(profileId).RemoveAreasIgnoredEverywhere(childAreas).ToList();
ComparatorMap comparatorMap = new ComparatorMapBuilder(new ParentArea(parentAreaCode, areaTypeId)).ComparatorMap;
var parentArea = AreaFactory.NewArea(areasReader,parentAreaCode);
parentCoreDataSetProvider = new CoreDataSetProviderFactory().New(parentArea);
var nationalArea = AreaFactory.NewArea(areasReader, AreaCodes.England);
nationalCoreDataSetProvider = new CoreDataSetProviderFactory().New(nationalArea);
// Get grouping for time info
IList<int> indicatorIds = groupDataReader.GetIndicatorIdsByGroupIdAndAreaTypeId(groupId, areaTypeId);
DoubleOverlappingCIsComparer comparer = new DoubleOverlappingCIsComparer();
IndicatorMetadataRepository repository = IndicatorMetadataRepository.Instance;
List<SparklineRoot> roots = new List<SparklineRoot>();
foreach (var indicatorId in indicatorIds)
{
var grouping = GetGrouping(groupIds, indicatorId, areaTypeId, sexId);
IndicatorMetadata metadata = repository.GetIndicatorMetadata(grouping);
IList<TimePeriod> timePeriods = grouping.GetTimePeriodIterator(metadata.YearType).TimePeriods;
SparklineRoot root = new SparklineRoot();
roots.Add(root);
List<ValueWithCIsData> allData = new List<ValueWithCIsData>();
foreach (IArea area in childAreas)
{
SparklineArea sparklineArea = new SparklineArea();
int startingAllDataCount = allData.Count;
foreach (TimePeriod timePeriod in timePeriods)
{
SparklineTimePoint timePoint = new SparklineTimePoint();
sparklineArea.TimePoints.Add(timePoint);
foreach (string dataType in dataTypes)
{
var data = GetData(area, dataType, grouping, timePeriod, allData);
timePoint.Data.Add(dataType, data);
}
// Are different? (comparatorId=10 “Within area 80/20 by deprivation”)
if (timePoint.Data.Count > 0)
{
ValueWithCIsData p1 = timePoint.Data[dataTypes[0]];
ValueWithCIsData p2 = timePoint.Data[dataTypes[1]];
Significance sig = comparer.Compare(p1, p2, metadata);
timePoint.AreDifferent = sig == Significance.Better || sig == Significance.Worse;
}
}
// Do not include areas with no data
if (allData.Count > startingAllDataCount)
{
root.AreaData.Add(area.Code, sparklineArea);
}
}
// Add statsPercentiles
if (allData.Count > 0)
{
IndicatorStatsPercentiles statsPercentiles = new IndicatorStatsPercentiles
{
Min = (from d in allData select d.LowerCI).Min<double>(),
Max = (from d in allData select d.UpperCI).Max<double>()
};
var builder = new TimePeriodTextListBuilder(metadata);
builder.AddRange(timePeriods);
IList<string> xLabels = builder.GetTimePeriodStrings();
SparklineStats sparklineStats = new SparklineStats(xLabels);
sparklineStats.IndicatorId = grouping.IndicatorId;
sparklineStats.Limits = new MinMaxRounder(statsPercentiles.Min, statsPercentiles.Max).Limits;
root.Stats = sparklineStats;
// Format
NumericFormatter formatter = NumericFormatterFactory.NewWithLimits(metadata, statsPercentiles);
new ValueWithCIsDataProcessor(formatter).FormatAndTruncateList(allData);
// Add comparator data
foreach (var comparator in comparatorMap.Comparators)
{
List<string> values = GetFormattedComparatorValues(timePeriods, metadata, grouping, formatter,
comparator.ComparatorId);
sparklineStats.ComparatorValues.Add(comparator.ComparatorId, values);
}
}
}
return roots;
}