Summary of Report Terms and Concepts

Event types and aggregation methods

You can select the following events from the metrics:

Metric	Definition	Aggregation method
All Events	Refers to all registered events, regardless of whether they are active or inactive.	Number of times, number of users
All active events	This refers to all events that are active in the system. You can check whether they are active through the 'Collection Status' item on the Event Management page of the console.	Number of times, number of users
System Events	Session execution and session termination events are events registered in the system by default and do not need to be registered separately on the event management page.	Number of times, number of users
Standard Events	This refers to the event provided by default in DFINERY. You can register by selecting it on the event registration screen.	Count, number of users, attribute aggregation
Custom Events	Excluding standard events, this refers to events registered by each service.	Count, number of users, attribute aggregation

Filter Support Items

Filters are broadly divided into two types: filters for each metric and filters applied to the entire metric.

The attribute types supported by each filter type are as follows.

Division	Support Items
Metric Filter	DFINERY auto-collected properties, sub-properties of selected metrics
All Filters	DFINERY auto-collected properties, full event sub-properties, user properties, recent device properties, behavioral properties

Metric Filter

A filter that is applied individually and depends on each metric.

The List property (Array type) in the metric only supports one per metric.

All Filters

A filter that applies to all metrics you set.

Operators supported based on data type in filter

You can apply conditions in detail using the operators supported by the data type. This policy is applied commonly to metric filters and report filters.

1. String, List of Strings, Enum

Support Operators	String	List of String	Enum
Include	✅	✅	❌ Not supported
Not included	✅	✅	❌ Not supported
Select value	✅	✅	✅
Excluding value	✅	✅	✅
Starts with ~	✅	❌ Not supported	❌ Not supported
Excluding those starting with ~	✅	❌ Not supported	❌ Not supported
Worth it	✅	✅	✅
No value	✅	✅	✅

2. Long/Double, List of Long/Double

Support Operators	Long/Double	List of Long/Double
=	✅	✅
≠	✅	✅
>	✅	✅
≥	✅	✅
<	✅	✅
≤	✅	✅
Intermediate value (≥ ~ ≤)	✅	✅
Excluding between (< ~ >)	✅	✅
Worth it	✅	✅
No value	✅	✅

3. Date/Datetime

Support Operators	Date	Datetime
Direct selection	✅	✅
Select year	✅	✅
Select year and month	✅	✅
Select month	✅	✅
Worth it	✅	✅
No value	✅	✅

4. Boolean

Support Operators	Boolean
Select value	✅
Worth it	✅
No value	✅

Group By Support Items

If you want to divide the set metric values ​​by group, you can select the following items in Group By.

Division	Definition
Number of events	Event count will only give you meaningful reports when you set Total Events or Total Active Events as the metric condition.
Event properties	This part means all sub-properties, not just the sub-properties of the event selected in the metric. That is, you can select all event sub-properties registered in the console from the list.
Auto-collect properties	Refers to sub-properties that are automatically collected when an event occurs in DFINERY.
User properties	Covers both standard user profile properties and custom user profile properties.
Recent device properties	Information collected based on the last time the user was active is updated based on the previous day's specific properties defined in DFINERY.
Behavioral properties	Specific properties defined in the definer are categorized by period-based actions and updated daily or monthly.

Supported Report Types

• Table

• Line chart

Additional report types will continue to be added.