QPR ProcessAnalyzer Expression Query Examples
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This page contains example KPI Analyses.
Example 1
The following analysis calculates:
- Number of cases
- List of case names
- List of distinct case names (single case appears only once in the list)
for each event attribute Color and Category.
{ "Root": "Events", "Dimensions": [ { "Name": "Color", "Expression": "Color" }, { "Name": "Category", "Expression": "Category" } ], "Values": [ { "Name": "Count", "Expression": "Count(_)" }, { "Name": "Cases", "Expression": "StringJoin(\",\", _.Case.Name)" }, { "Name": "DistinctCases", "Expression": "StringJoin(\",\", Distinct(_.Case.Name))" } ], "Ordering": [ { "Name": "Color", "Direction": "Ascending" }, { "Name": "Category", "Direction": "Descending" } ] }
Example 2
Same analysis for for case attributes:
{ "Root": "Cases", "Dimensions": [ { "Name": "Color", "Expression": "Color" }, { "Name": "Category", "Expression": "Category" } ], "Values": [ { "Name": "Count", "Expression": "Count(_)" }, { "Name": "Cases", "Expression": "StringJoin(\",\", _.Name)" } ], "Ordering": [ { "Name": "Color", "Direction": "Ascending" }, { "Name": "Category", "Direction": "Ascending" } ] }
The following analysis returns a list of all dimensions but doesn't calculate any KPI's:
{ "Root": "Cases", "Dimensions": [ { "Name": "Region", "Expression": "Region" } ] }
The following analysis calculates a KPI for all filtered data but doesn't slice it to any dimensions:
{ "Root": "Cases", "Values": [ { "Name": "Case count", "Expression": "Count(_)" } ] }
3 Grams
{ "Root": "Cases", "Dimensions": [ { "Name": "CaseId", "Expression": "Name" } ], "Values": [ { "Expression": " Flatten( _ .Array( StringJoin(\"->\", Array(\"0\", GetAt(0, Events).Type.Name, If( Count(Events) > 1, GetAt(1, Events).Type.Name, \"0\" ) ) ), StringJoin(\"->\", Events.Where(!IsNull(NextInCase)) .Array(Type.Name, NextInCase.Type.Name, If( !IsNull(NextInCase.NextInCase), NextInCase.NextInCase.Type.Name, \"0\" ) ) ) ) ).Where(_ != \"\") ", "DimensionOrderExpression": "OrderByValue(_)", "Type": "Pivot" } ], "Ordering": [ { "Name": "CaseId", "Direction": "Ascending" } ] }
Duration
{ "Root": "Cases", "Dimensions": [ { "Name": "TotalHours", "Expression": "Duration.TotalHours.Round(0)" } ], "Values": [ { "Name": "Count", "Expression": "Count(_)" } ], "Ordering": [ { "Name": "TotalHours", "Direction": "Ascending" } ] }
The following analysis calculates monthly average case duration. Case start month needs to be a dimension and KPI is the average case duration (also rounding is used).
{ "Root": "Cases", "Dimensions": [ { "Name": "Start Month", "Expression": "StartTime.Month" } ], "Values": [ { "Name": "Average Case Duration in Days", "Expression": "Round(Average(_.Duration.TotalSeconds) / 3600, 0)" } ], "Ordering": [ { "Name": "Start Month", "Direction": "Ascending" } ] }
Event type ordering
{ "Root": "Cases", "Dimensions": [ { "Name": "CaseId", "Expression": "Name" } ], "Values": [ { "Expression": " Flatten( _ .Events .For(\"i\", IndexInCase + 1, i < Count(Case.Events), i + 1, StringJoin(\">\", Array( Type.Name, GetAt(i, Case.Events).Type.Name ) ) ) ) ", "DimensionOrderExpression": "OrderByValue(_)", "Type": "Pivot" } ], "Ordering": [ { "Name": "CaseId", "Direction": "Ascending" } ] }
Event type trend
{ "Root": "EventTypes", "Dimensions": [ { "Name": "Event Name", "Expression": "Name" } ], "Values": [ { "Name": "Event Count", "Expression": "GetAt(0, _.Count)" }, { "NameExpression": "", "Name": "DateGroupDim", "ValueDimensionExpression": "TimeRange(DateTime(2012, 1, 1, 12), DateTime(2012, 1, 1, 13), TimeSpan(0, 0, 10))", "SelectionExpression": "_.Events.Where(TimeStamp.Round(TimeSpan(0, 0, 10)) == DateGroupDim)", "Expression": "GetAt(0, Count(Selection))", "Type": "Dynamic" } ], "Ordering": [ { "Name": "Event Name", "Direction": "Ascending" } ] }
Repeats
{ "Root": "Cases", "Dimensions": [ { "Name": "CaseId", "Expression": "Name" } ], "Values": [ { "Expression": " Flatten( _ .FindRepeats(Events.Type.Name) .Repeat( Count(GetAt(1, _)) - 1, StringJoin(\"->\", GetAt(0, _)) ) ) ", "DimensionOrderExpression": "OrderByValue(_)", "Type": "Pivot" } ], "Ordering": [ { "Name": "CaseId", "Direction": "Ascending" } ] }