Clustered Column Chart

Notes and Constraints

• The dimension axis is determined by the dimensions of the data and at least one dimension must be selected.
• The metric axis is determined by the metrics of the data and at least one metric must be selected.
• The color legend is determined by the dimensions of the data and only one dimension can be selected.
• The color legend can only be enabled when a metric field is selected on the value axis.

Procedure

1. In the navigation pane on the left, choose Data Analytics > Dashboard. On the displayed page, click the name of the dashboard you created. On the top menu bar, click Add Chart and select Clustered column under Column/Bar 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 Clustered column 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 1 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 the color legend (dimension). Specifically, drag the required field to Color Legend (Dimension). Color legends also support drill-down.
3. 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.

4. 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.
5. 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.

6. Set automatic refresh.

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

Style

Advanced

• Linkage

  Click the Advanced tab and click next to Linkage. The Chart Linkage Settings page is displayed. Set parameters. For details, see Linkage example.

  Table 8 Chart linkage settings

  Parameter	Description
  Fields to Bound	Select the fields to be bound first and then select the chart to be associated with them. You can select all charts on the dashboard.
  Associated Charts	Set linked associated charts. You can select charts from the same dataset or different datasets. Follow bound field: When the bound field is set to A, the associated data tables filter data related to A. SQL placeholder: The bound field value corresponds to the value set for the SQL placeholder in the dataset.

• 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.

Example Scenario

In this example, a clustered column chart is used to display the sales data of a certain product. The data with a profit below 200 is highlighted to make it easier to identify data points that do not meet expected profit levels, thus allowing for targeted analysis of anomalous data.

1. In the navigation pane on the left, choose Data Analytics > Dashboard. On the displayed page, click the name of the dashboard you created. On the top menu bar, click Add Chart and select Clustered column under Column/Bar Chart.
2. In the data columns, select the dataset to be analyzed, and double-click or drag the product_name dimension and profit metric into the fields.
3. Click the Style tab, click Condition Format, and select the profit field in the Select a series dropdown.
4. Click on the right side of the text to enter the custom style page, set the parameters, and click Confirm. Parameter settings are shown in Figure 2.
   Figure 2 Setting custom parameters
   

5. On the Field tab page, click Update to complete the creation of a clustered column chart, as shown in Figure 3.
   Figure 3 Clustered column chart