Advanced
Тема интерфейса

Intelligent Chart

Язык статьи: Английский
Перевести

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

This part describes the field configuration of intelligent charts.

  1. Set the column content.
    1. In the dimension list in the data column, select the field and double-click or drag it to the field column.
    2. In the metric list in the data column, select the field and double-click or drag it to the field column.
    3. Set the field display content.

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

    4. Set the drill-down.

      Columns support the setting of field display content modification and drill-down functions for dimension fields.

      Note

      Drill-down function: When analyzing company sales data, you can change the analysis granularity by drilling down the data, such as drilling down from the regional granularity to the provincial granularity to view the data situation based on geographic dimensions. Connecting data from various dimensions facilitates data analysts to analyze the data and draw conclusions.

      1. Click the field () in the column and drag the field of the target location to be drilled down to the Drilldown area.
      2. Click Update to test whether the drilldown function is set successfully.
    5. Set the aggregation mode.

      Columns support the setting of aggregation method and field display content for metric fields.

      Note

      Aggregation method: Perform calculation and processing on data to make the analyzed data more orderly and intuitive.

      Click in the column, 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, and sample variance.

    6. Set the field display content.

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

  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 2 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.

    Note

    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 3, and the style will automatically adapt to the selected data.

Table 3 Intelligent chart style parameters

Parameter

Description

Card Title

Cards can be configured with or without a title. If a title is set, it will be displayed in the top left corner of the card.

If the checkbox is not selected (), the card will have no title.

If the checkbox is selected (), the card will have a title.

Text

You can adjust the font size and color of the text. To change the font size, you can either type in the desired size or use the and buttons.

Alignment

You can align the text in the card to the left or center.

Bottom Margin

Set the distance between the intelligent chart title and the chart. To change the margin, you can either type in the desired margin or use the and buttons.

Divider

Cards can be configured with or without a divider line.

If the checkbox is not selected (), the card will have no divider line.

If the checkbox is selected (), the card will have a divider line. You can customize the style and bottom margin of the divider line. The style and bottom margin can be set by inputting values or using the and buttons.

Card Background

Cards can be configured with or without a background.

If the checkbox is not selected (), the card will have no background.

If the checkbox is selected (), the card will have a background. The background color can be set.

Status Icon

You can customize the display style and color of the icon, which can be set to always show or show on hover. The card icon can be set to have a status or no status.

If the checkbox is not selected (), the icon will have no status.

If the checkbox is selected (), the icon will have a status.

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.
    Note

    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.