How to visualize user profiles-DataWorks(DataWorks)-阿里云帮助中心

DataWorks Data Analysis provides visualization tools that display processed data as intuitive charts for quick insight extraction. This guide uses user persona data as an example.

Prerequisite

Before you begin, make sure that you have completed Process data. You must have used Data Studio to process the data and create a basic user persona dataset.

Data analysis scenarios

The following scenarios show how to visualize and analyze user persona data:

Scenario	Example chart
Ranking of registered users by city
Distribution of member visits by age group
Distribution of member visits by gender
Analysis of visits by gender and zodiac sign

Go to the SQL query page

This example uses the SQL Query feature in DataAnalysis.

Log on to the DataWorks console. In the target region, click Data Analysis and Service > DataAnalysis in the left-side navigation pane. Click Go to DataAnalysis to open the Data Analysis page. In the left-side navigation pane, click SQL Query.

Configure the SQL query data source

Authorize a Data Source.

You must authorize a data source before using it in Data Analysis. Navigate to the Security Center > Security policy > Data Query Control > Queryable data source page. Find the desired data source and click Authorization in the Operation column to grant your account the necessary permissions. For more information, see Security Center.
Create a Temporary File.
1. Method 1: When you access the SQL Query page for the first time or no SQL file is open in the current window, click Create SQL Query to create a Temporary File.
2. Method 2: If an SQL file is already open, click to create a Temporary File.
Note
For more information about creating SQL queries, see SQL query (legacy).
Select a Data Source.

On the temporary file editing page, click the icon in the upper-right corner, and select the workspace, engine type, and data source for the current SQL query. In this example, a MaxCompute data source is selected.

Write SQL statements

On the Temporary File editing page, enter the following SQL statement and click to query data from the ads_user_info_1d table. In this example, dt="20241126".

-- If the target partition is not found, you can run show partitions tablename to verify the table partitions.
select * from ads_user_info_1d where dt='business date';

View query results and edit charts

After the SQL query returns results, click the button in the left-side navigation pane to visualize them. To edit a chart, click the button in its upper-right corner.

Ranking of registered users by city

Double-click the original title above the chart and enter a new title.
Style settings.

Click Style Settings > Change Chart > Stacked Bar Chart on the right side of the page.
Data settings.

Click Data Settings on the left side of the page. Set the X Axis column to count (distinct count), and the Y Axis column to region.
1. Drag the uid column to X Axis, and in the X Axis drop-down list, select Aggregate > Distinct Count.
2. Drag the region column to Y Axis.
Modify the axis titles for the X and Y axes.

Click Style Settings on the right side of the page. In Global Settings > Chart Info, click Details and select the Chart Style tab.
1. Click the axis title for X Axis. In Title Display, configure the X Axis column information and change uid to Registered Members.
2. Click the axis title for Y Axis. In Title Display, configure the Y Axis column information and change region to Province.
3. Click the Save button in the upper-right corner to save the chart.
Verify the final chart.

Distribution of member visits by age group

Double-click the original title above the chart and enter a new title.
Style settings.

Click Style Settings > Change Chart > Pie chart on the right side of the page.
Data settings.

Click Data Settings on the left side of the page. Set the category column to age_range and the value column to pv.
1. Drag the age_range column to Category.
2. Drag the pv column to Value, and in the Value drop-down list, select Aggregate > Sum.
3. Click the Save button in the upper-right corner to save the chart.
Verify the final chart.

Distribution of member visits by gender

Double-click the original title above the chart and enter a new title.
Style settings.

Click Style Settings > Change Chart > Pie chart on the right side of the page.
Data settings.

Click Data Settings on the left side of the page. Set the Category column to gender, and the Value column to pv.
1. Drag the gender column to Category.
2. Drag the pv column to Value, and in the value drop-down list, select Aggregate > Sum.
3. Click the Save button in the upper-right corner to save the chart.
Verify the final chart.

Analysis of visits by gender and zodiac sign

Double-click the original title and enter a new title for the chart.
Style settings.

Click Style Settings > Change Chart > Grouped Column Chart on the right side of the page.
Data settings.

Click Data Settings on the left side of the page and configure the column information:
1. Drag the gender column to X Axis.
2. Drag the pv column to Y Axis, and in the Y Axis drop-down list, select Aggregate > Sum.
3. Drag the zodiac column to Split.
Modify the axis titles for the X and Y axes.

Click Style Settings on the right side of the page. In Global Settings > Chart Info, click Details and select the Chart Style tab.
1. Click the axis title for X Axis. In Title Display, you can configure the X Axis column information and change gender to Gender.
2. Click the axis title for Y Axis. In Title Display, you can configure the Y Axis column information and change pv to Visits.
3. Click the Save button in the upper-right corner to save the chart.
Verify the final chart.

Next steps

After you finish editing the chart, click the Save button in the upper-right corner to persist and share the results. To create charts of other styles from the processed data, click the Save As button.
You can view saved charts by clicking the icon in the left-side navigation pane of the DataAnalysis page.

This icon is the dashboard icon in the left-side navigation pane. Example charts include a column chart showing PV distribution by user and a bar chart showing the ranking of registered users by province.