Group dimensions are utilized in scenarios where dimension values are categorized. For instance, the age field can be segmented into minor, youth, middle-aged, and elderly groups to analyze the vaccination rates across different age brackets.
Prerequisites
You have created a dataset. For more information, see Create and Manage Datasets.
Create a group dimension
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In the Data Preview area, click Create Group Dimension.
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In the New Grouping Field dialog box, set the following configurations and then click OK.
For item ③ configuration in the figure below, refer to Example Scenario.
Example scenario
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Categorize data by geographical location. For instance, the province field can be used to create the following regional groups:
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Northeast region:
Heilongjiang, Liaoning, Jilin -
North China region:
Beijing, Tianjin, Hebei, Shanxi, Inner Mongolia -
East China region:
Shanghai, Jiangsu, Zhejiang, Anhui, Fujian, Jiangxi, Shandong -
Central South region:
Henan, Hubei, Hunan, Guangdong, Guangxi, Hainan -
Southwest region:
Chongqing, Sichuan, Guizhou, Yunnan, Tibet -
Northwest region:
Shaanxi, Gansu, Qinghai, Ningxia, Xinjiang
Once the configuration is saved, a new dimension field is added to the dataset, and group names are populated in this column based on the settings.
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Organize data by age. You can segment the age field into the following categories:
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0 years old ≤ Minor <18 years old
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18 years old ≤ Youth <40 years old
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40 years old ≤ Middle-aged <56 years old
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Elderly ≥ 56 years old
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Segment data by date. For instance, you can divide data into different activity phases based on the date field.
