目录
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# User Property Analysis

# I. The Significance of Attribute Analysis

Attribute analysis is a model that specifically analyzes the statistics and distribution of user features. The model is classified according to user features, and the statistics and distribution of users with different group values can be viewed at the same time. For example, check the distribution of users in various provinces and the age distribution of users. It can quickly depict the user profile of the overall user group. Obtain the characteristics of the designated user groups from multiple perspectives and all-round aspects. This can get the composition and preferences of the whole user from a macro perspective, thus providing basis for fine operation.

# II. Location and Applicable Role of AttributeAnalysis

It can be accessed from the "Property Analysis" page under the "User Analysis" module

Company Supervisor
Administrator
Analyst
Ordinary members
Attribute analysis model




Permission description:

● Role must have

▲ The role has the permission by default, but can revoke

△ The role is not available by default, but can be authorized

○ Role must not have

# III. Overview of Attribute Analysis Page

It consists of four parts: 'Analysis Direction Setting Area', 'Display Filter Area', 'Display Chart Area' and 'Table Details Area':

# IV. Usage of Attribute Analysis

# 4.1 Several Commonly Used Analysis Scenarios

# 4.2 Conditions for Analyzing Attributes

The content that can be analyzed is the number of users, user features or a certain analysis direction of user tags.

Analyzable directions vary depending on the data type.

Analysis object
Data type
Analysis direction
Number of users
User features/tags
Value
Sum, mean, average, median, maximum, minimum, deduplicate
User features/tags
Boolean
True number, false number, empty number, not empty number, deduplicate number
User features/tags
Text
Deduplicate number
User features/tags
Time
Deduplicate number
User features/tags
List
List deduplicate number, collection deduplicate number, element deduplicate number
User features/tags
Object
Deduplicate number, empty number, not empty number
User features/tags
Object group
Deduplicate number, empty number, not empty number

Note: When selecting the analysis attribute as the number of users, you can click in the table area to enter the user list or save it as a result group.

# 4.3 Setting of Group Items

Contains 4 state types:

  1. Default is not grouped, at this time do not distinguish the crowd directly analyze the situation of all users.
  2. Switch to group comparison, when different user groups can be compared, up to 10 groups can be added.
  3. Select an item for analysis, you can choose 'user feature' , 'user group' or 'user tag'.
  4. Select 2 items for analysis, you can select 'user feature', 'user group' or 'user tag', then the chart abscissa can be switched.

# 4.4 The Logical Condition of the Filter Condition

The data layer can choose user features, user tags, or user groups, with different attribute logic according to the data type:

Filter item data types
Example
Support attribute logic
Value
Consumption amount
Equal to, not equal to, less than, less than or equal to, greater than, greater than or equal to, with value, without value, interval
Text
Province
Equal to, not equal to, include, not include, have value, have no value, regular match
List
ID list
Existing element, non-existing element, element location, value, no value
Time
Registration time, last active date (yyyy-MM-dd HH: mm: ss. SSS or yyyy-MM-dd HH: mm: ss)
In interval, less than or equal to, greater than or equal to, relative to current date, with value, without value
Boolean
Wifi use
True, false, valuable, worthless
Object
Player resource snapshot
Value, no value
Object group
Expedition lineup
Existing object satisfies, no object satisfies, all objects satisfy, has value, has no value

User grouping can choose "belong to grouping" or "do not belong to grouping"

# 4.5 Condition for Group Comparison

When compared, groups of people using their own filter conditions were compared.

# V. Best Applications

# 5.1 Current Status of Users

Attribute analysis mainly analyzes user features, groups and tags, which record the current state. Therefore, if you want to obtain the current state of the user, you can use attribute analysis to calculate.

# 5.2 The Union and Intersection of Multiple User Groups

Attribute analysis can be used to calculate the union or intersection of multiple user groups. Multiple groups are selected through filtering conditions. If the filtered juxtaposition is 'and', it is the intersection of user groups. If it is 'or', it is the union of user groups. The union or intersection is achieved by creating groups based on the results of the calculation.