QPR ProcessAnalyzer Expression Query Examples: Difference between revisions
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Duration | Following analysis shows case duration distribution by hours (works like the [[Duration_Analysis_(PAPO)|Duration Analysis]]) | ||
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{ | { | ||
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"Dimensions": [ | "Dimensions": [ | ||
{ | { | ||
"Name": " | "Name": "Case Duration in Hours", | ||
"Expression": "Duration.TotalHours.Round(0)" | "Expression": "Duration.TotalHours.Round(0)" | ||
} | } | ||
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"Values": [ | "Values": [ | ||
{ | { | ||
"Name": "Count", | "Name": "Case Count", | ||
"Expression": "Count(_)" | "Expression": "Count(_)" | ||
} | } | ||
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"Ordering": [ | "Ordering": [ | ||
{ | { | ||
"Name": " | "Name": "Case Duration in Hours", | ||
"Direction": "Ascending" | "Direction": "Ascending" | ||
} | } | ||
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} | } | ||
</pre> | </pre> | ||
== Dynamic Exampes == | |||
The following analysis shows how many of different kinds of events occurred by time (works like the [[Event_Types#Event_Type_Analysis_in_the_Trends_Mode|Event Type Trend Analysis]]). | |||
<pre> | |||
{ | |||
"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))", | |||
"Expression": "GetAt(0, Count(_.Events.Where(TimeStamp.Round(TimeSpan(0, 0, 10)) == DateGroupDim)))", | |||
"Type": "Dynamic" | |||
} | |||
], | |||
"Ordering": [ | |||
{ | |||
"Name": "Event Name", | |||
"Direction": "Ascending" | |||
} | |||
] | |||
} | |||
</pre> | |||
== Pivot Exampes == | |||
Event type ordering | Event type ordering | ||
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] | ] | ||
} | } | ||
</pre> | </pre> | ||
Revision as of 15:29, 7 December 2017
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" } ] }
Following analysis shows case duration distribution by hours (works like the Duration Analysis)
{ "Root": "Cases", "Dimensions": [ { "Name": "Case Duration in Hours", "Expression": "Duration.TotalHours.Round(0)" } ], "Values": [ { "Name": "Case Count", "Expression": "Count(_)" } ], "Ordering": [ { "Name": "Case Duration in Hours", "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" } ] }
Dynamic Exampes
The following analysis shows how many of different kinds of events occurred by time (works like the Event Type Trend Analysis).
{ "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))", "Expression": "GetAt(0, Count(_.Events.Where(TimeStamp.Round(TimeSpan(0, 0, 10)) == DateGroupDim)))", "Type": "Dynamic" } ], "Ordering": [ { "Name": "Event Name", "Direction": "Ascending" } ] }
Pivot Exampes
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" } ] }
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" } ] }