This document is an introduction to Quick Tracking and technical integration and is not used as a sales basis. For specific products and technical services purchased by an enterprise, the commercial purchase contract shall prevail.
Overview
Distribution analysis refers to the distribution of users on an event metric within a specified interval. Common ones include viewing the distribution of the number of people by the number of occurrences of an event, the distribution of the number of days a product is used, and the distribution of the number of users with a certain attribute value. Enterprises can use distribution analysis to further grasp user characteristics. After you query data by using distribution analysis, you can save it as a report and add it to a self-made dashboard for display and statistics.
Applied scenarios
Distribution analysis can solve
Discover user distribution patterns and optimize product and operational strategies. For example, by viewing the distribution of the number of users who paid for orders in the last month in "100 yuan", "100-200 yuan" and "200 yuan" or more.
Lock the core user group and implement refined operations. For example, you can identify deep users by observing the distribution of the duration of each user's use of a core feature on the day.
Remove extreme effects and measure product health. For example, statistics in 5%~95% of new users in the "number of login" distribution.
Take 「Statistics on the Distribution of User APP Active Days in the Last Month」 as an example
Select the number of days for which the event distribution metric is 「Application Startup」 events.
Set the distribution interval: 5 equal parts
Select a time range of the last month.
Click 「Start Analysis」
Actions guide
Page composition
The distribution analysis feature consists of the following components: 
Historical query list area: Users can click to select the list of historical saved queries.
Information configuration area: the user can select events, indicators and time.
In the Analysis Results section, you can view the visual charts and detailed data of the analysis results.
Select events and metrics
1. Select an event: supports page selection and tracking events.
2. Select metrics for distribution analysis, including preset metrics, system attributes, and global attributes.
Preset metrics: times, hours, and days
A. Times: counts the number of times an operation is performed within a specified time range. The operation is recorded once.
B. Hours: displays the number of natural time periods (hours /days) during which a user has performed an operation. The number of times an event is triggered within one natural hour.
C. Days: the number of natural time periods (hours /days) in which a user performs an operation within a specified time range. The number of times an event is triggered within one natural day.
System Attribute and Global Attribute: counts the statistical metric values of an attribute in which the user has performed an operation within a certain period of time. In addition to the 「Unique Count」 metric, the numeric attribute also supports the 「Accumulated Value」, 「Maximum Value」, 「Minimum Value」, and 「Average Value」 metrics.
Metric category
Metric name
Metric description
Example
Event metrics
Number of users
Deduplication by device ID
Number of users browsing the homepage
N/A
Number of times the selected event was triggered
Number of visits to the homepage
Number of times per capita
Times/users
Number of homepage views per capita
Number of logon users
Deduplication by login user accounts
Number of login users who browse the homepage
Number of user logons
Number of triggers for login users
The number of logon users who browse the homepage.
Number of logons per user
Number of login user times/number of login users
Number of home page views per logon user
Attribute metrics
Unique count
Deduplication of event attributes
Number of exposed products
Accumulated value
The sum of numerical attributes
The sum of payment order amounts
Maximum
Maximum value of a numeric property
Maximum payment order amount
Minimum value
Minimum value of a numeric property
Minimum payment order amount
Average value
The arithmetic mean of a numeric attribute
Average of payment order amounts
3. Add filter conditions: different filter symbols are supported according to different types of attributes.
Attribute type | Filter Symbol | Symbol Definition | Example |
String | Equal To | Represents equal to one or more specific values | The device brand is equal to Huawei or Apple |
Not equal to | Indicates that one or more specific values are excluded | Device brand excludes Huawei or Apple | |
Contains | Find values that contain certain characters in an attribute value | The character Huawei is included in the device brand | |
Does not contain | Exclude values with certain characters in attribute value | The character Huawei is not included in the device brand. | |
Empty | Find data without attributes | No device brand attribute value | |
Not empty | Find data with property values | with device brand attribute value | |
Numeric types | Equal to | Equal to a specific value | Order amount equals 1000 |
Not equal to | Not equal to a specific value | Order amount not equal to 1000 | |
Greater than | Greater than a specific value | Order amount greater than 1000 | |
Smaller than | Less than a specific value | Order amount less than 1000 | |
In... with... | Between two specific values | Order amount between 1000 and 5000 |
Select distribution interval 
Supported equal division methods: 5, 10, and Custom.
5 equal points, 10 equal points: group the number of people corresponding to the distribution index by 5 equal points, 10 equal points, etc.
Custom equal division: You can freely set the viewing area range of full data.
Select time range 
You can select the time range and time granularity as required. You can select a time range in the 「Relative Period」 or 「Fixed Period」 mode. In the relative period mode, the default time is set to the past seven days and is displayed by day.
The 「Relative Period」 of time is based on the date range pushed forward by an anchor point and will change over time. It has three dimensions: the past X days, weeks, and months. You can also customize the time filter conditions for the past X days, weeks, and months. The day is a complete natural day, and the week is selected from Monday to Sunday, and the month is the natural month (from the 1st to the last day of each month)
The following list describes the rules:
A. Past n days: Push forward the complete n days based on the current time.
B. Past n weeks: Push forward n complete weeks based on the current time. If the current time is the last day of the week, the past n weeks include the week in which the current time is located. Example: If the current time is the 7.20 (Tuesday), then the past week is 7.12-7.18 (Monday to Sunday). If the current time is the 7.18 (Sunday), then the past week is 7.12-7.18.
C. Past n Months: Push forward n complete months based on the current time. If the current time is the last day of the month, then the past n months include the month in which the current time is located. Example: If the current time is 7.20, then the past month is 6.1-6.30; If the current time is 6.30, then the past month is 6.01-6.30.
「Fixed Period」 You can directly select the start date in the calendar box, and click OK to select the current time range for data analysis (the maximum selection range of a fixed period is 366 days)
View analysis charts and detailed data 
After you set the query conditions and click 「Start Analysis」, you can view the analysis results. The 「Detailed Data」 of the statistical results is displayed in Detailed Data.
Click 「View SQL」 in the upper right corner of 「Analysis Chart」 to view the current query SQL and copy.
Click 「Export Data」 in the upper right corner of 「Detailed Data」 to download the Excel file.
Save common metrics for subsequent re-query. You can click the 「Save」 button in the upper-right corner.
Save data to report 
1. Enter a report name
2. Select the time period for saving the report.
-「Impact of Different Time Periods on Reports」
Select a relative time period. The report date can be queried according to the time selected on the dashboard.
Select a fixed period, the report date will not change according to the dashboard selection time
No period is selected, the report date follows the time selected on the dashboard
3. Click the 「OK」 button to save the data to the report list.
「2.7 Save report to dashboard」
For an already saved report, you can choose to add the report to the dashboard: 
Enter 「Report Name」
Select the added dashboard
Select the type of display you want the chart to display.
Select the display layout of the chart in the self-made dashboard
Click 「OK」