Updated on 2025-05-20 GMT+08:00

Intelligent Chart

Intelligent charts can help you present data analysis results in a clear and intuitive way. This section introduces different types of charts and their use cases, as well as the chart types supported by different editions, to assist you in quickly selecting the appropriate chart for data presentation and display.

DataArts Insight provides a variety of chart styles, such as tables, line and plane charts, bar and rank charts, and indicator charts, to meet your flexible and visual analysis requirements. The current report is displayed by default on the dashboard.

Use Cases

Each chart has its use cases and data elements (fields that form the chart). The following describes the use cases, data elements, and examples of various charts.

Table 1 Use cases

Type

Chart

Description

Data Element

Table

Table

Tables are primarily used to perform dimension-based metric data statistics or detailed data displays, and to merge and aggregate similar data.

Column

Line/Plane chart

Line chart

Line charts are used to display the trend of data over equal time intervals.

Dimension

Metric

Color legend

Area chart

Area charts are used to display the trend of data over a certain period of time, as well as the proportion of each indicator's area.

Dimension

Metric

Color legend

Stacked area chart

Similar to area charts, the difference with stacked area charts is that the starting point of each data set is based on the previous data set, showing the trend line of each value's size change over time or category, displaying the relationship between parts and the whole.

Dimension

Metric

Color legend

Line chart and clustered column chart

Line and clustered column charts support dual-axis display of data with different magnitudes, and support data display scenarios for conventional line and column chart combinations.

  • In a combination chart, the line chart can display continuous data that changes over time (based on commonly used ratios), making it ideal for displaying the trend of data over equal time intervals.
  • In a combination chart, the clustered bar chart can compare the differences between various groups of data.

Dimension

Metric

Color legend

Column/Bar chart

Clustered column chart

Bar charts are useful for comparing differences between data groups and displaying changes in data over a period of time.

Dimension

Metric

Color legend

Stacked column chart

A stacked column chart is an effective way to show data for each sub-class within a class, as well as the proportion of each sub-class. This helps to illustrate the relationship between a specific project and the overall data.

Dimension

Metric

Color legend

Indicator chart

Indicator dashboard

An indicator dashboard can display data in a clear and concise manner, allowing you to quickly grasp the current situation and make timely decisions to implement appropriate measures.

Dimension

Metric

Prerequisites

Notes and Constraints

  • Select at least one data field for the Column area.

Procedure

  1. In the top navigation bar on the dashboard creation page, click to create an intelligent chart.
  2. Select a dataset in the Data area.
  3. Set parameters on the Field, Style, and Advanced tabs.
  4. Click Update. The system automatically updates the chart.
    Figure 1 Intelligent chart
  5. Click Save or Save and Publish in the upper right corner to save the dashboard.
  6. In the displayed Dashboard dialog box, set Name and click Confirm.

Field

  1. In the Data area on the right, select a dataset, and double-click or drag required dimension and metric fields to the corresponding areas on the Fields tab.

    Table 2 Parameters on the Field tab

    Parameter

    Description

    Field display content

    Click in the column and click Field display content to modify the field display content on the displayed page. Click OK.

    Aggregation Method

    Select Aggregation Method and click to support setting of no aggregation, sum, count, distinct count, maximum value, minimum value, average value, population standard deviation, sample standard deviation, sample variance, range start value, and range end value.

    Drilldown

    You can enable drilldown for dimension fields. For example, you can view data at different levels of granularity, ranging from years down to quarters, months, weeks, days, hours, minutes, and even seconds, depending on the time dimension.
    • Click the field () in the column and drag the field of the target location to be drilled down to the Drilldown area.
    • Click Update to test whether the drilldown function is set successfully.
      NOTE:
      • Drill-down is only supported for dimension fields, not for metric fields.
      • You can only select one field as the starting point for drill-down.
      • When drilling down on time, the system will automatically add the subdivided time periods to the drill-down order list and include them in the sorting field (fields that are already in the sorting field will not be added again).
      • Drill-down icons should be highlighted for fields that have already been drilled down. If you remove the drill-down field from the dimension, the entire drill-down function box will disappear.
  2. Set a filter.
    1. Drag dimension and metric fields to the Filter area.
    2. Click next to a field in the Filter area.
    3. In the displayed Set Filter dialog box, set the parameters and click OK.
      Table 3 Filter parameters

      Type

      Parameter

      Description

      String

      Condition

      Filter Mode: The options are Condition and Enumeration.

      Condition Type: The options are And condition and Or condition.

      Filter Condition: The options are Exact match, Contain, Start with, End with, Not match, Not contain, Null, and Not null.

      Enumeration

      Query Mode: The options are Single-select and multi-select.

      Filter Condition: The options are >, , <, , =, , Null, and Not null.

      Metric

      Condition Type

      The options are And condition and Or condition.

      Filter Condition

      The options are >, , <, , =, , Null, and Not null. You can select Before aggregation and After aggregation for data.

      NOTE:

      If you select Before aggregation, data is filtered before aggregation. If you select After aggregation, data is filtered after aggregation. For aggregation concepts, see Creating a Dataset.

      You can click Create Filter Condition to set multiple filter criteria.

      Date

      Range value

      Select a time range for filtering.

      Single value

      Set a single time for filtering.

      Condition

      You can select And condition or Or condition as the condition type and select filter condition like >, , <, , and =.

      You can click Create Filter Condition to set multiple filter criteria.

  3. Set sorting.
    1. Drag and drop required data fields from the Dimension and Metric (Indicator) areas under Data to the Sorting area.
    2. Click next to a field in the Sorting area and select a sorting mode. The sorting modes are Ascending, Descending, and Custom.
    3. To cancel sorting, click next to the sorting field.
  4. Set the maximum number of query results.

    Enter the maximum number of records that can be returned in the text box. The default value is 1000.

  5. Set automatic refresh.

    The auto refresh interval supports the following options: no refresh, 1 minute, 5 minutes, 15 minutes, and 30 minutes.

  6. Set the metadata mode.

    The metadata mode can be set or not set. You can select or deselect this parameter.

    Metadata mode refers to the raw data that has not been processed by DataArts Insight.

Style

This part explains how to set the style parameters of an intelligent graph. Set the parameters based on Table 5, and the style will automatically adapt to the selected data.

Table 4 Basic Settings

Parameter

Description

Card Title

Whether to display the card title. If selected, the card title is displayed in the upper left corner of the chart.

Text

Set the text size and click to select the text color.

Alignment

Set the alignment mode, which can be left alignment or center alignment.

Bottom Margin

Set the distance between the card title and the chart.

Divider

Whether to display the divider. You can set the size, color, and bottom margin of the divider.

Card Background

Whether to display the card background. Click to select a background color.

Status Icon

Whether to display the status icon. You can set the display mode and color of icons. The display modes include Always display and Hover display.

Hide Panel Operations

You can customize whether to display in the upper right corner of the chart.

Panel No Padding

You can customize whether to cancel card padding.

Table 5 Other parameters

Parameter

Description

Column Width

You can either automatically set the table appearance or customize it. The column width can be set either by entering a specific value or using the and buttons.

NOTE:

Note that the input cannot be empty and must be from 40 to 1200.

Pagination

You can set the number of data pages displayed on the intelligent chart, and this can be done within the chart itself. The supported options for the number of pages are: 10, 20, 30, 50, 80, and 100.

Functional Configuration

The following features can be configured: enabling quick filtering, specifying whether export is needed, and enabling multi-select operations.

Advanced

  • Initialize Query for Associated Query Control: whether the associated query control supports query initialization. If the checkbox is selected (), the control supports query initialization. If the checkbox is not selected (), the control does not support query initialization.

    If you select this option, when a chart is linked to a query control and the query control does not have a default query set, the chart's data configuration will be queried during chart initialization.