What are the required fields while creating a Chart in APEX?
To create a chart in Oracle APEX, you need to provide some required fields that define the data source and appearance of the chart. You can use either the Create Page Wizard or Page Designer to create a chart. The required fields for creating a chart are:
Data Source: This field specifies the SQL query that returns the data for the chart. The query must include at least one column for the label and one column for the value of each data point. You can also include additional columns for grouping, color, or tooltip information.
Value Column: This field specifies the column from the data source query that contains the numeric values for the chart. The values are used to plot the data points on the chart and determine the size of each data point or segment.
Name: This field specifies the name of the chart region. The name is used to identify the region in Page Designer and other components, such as dynamic actions or processes.
Label Column: This field specifies the column from the data source query that contains the labels for the chart. The labels are used to display the name of each data point or segment on the chart or in the legend.
To create a Dynamic Action, you need to specify which three of the following options?
Select two features of a Smart Filters Page.
A smart filters page is a type of component that features a single search field at the top of the page and a search results report (classic report, cards, map, or calendar) at the bottom. A smart filters page behaves similarly to faceted search, but it features a more space efficient layout. Two of the features of a smart filters page are:
Consists of a single search field with filters at the top of the page and a report at the bottom. This feature provides a simple and compact user interface that allows users to enter text in the search field and see suggested filters based on their input. Users can also see and modify applied filters at any time.
Each filter displays as a suggestion chip with a single count of how often the specific suggestion value occurs. This feature provides useful information to users about how many records match each filter value. Users can also choose between different types of suggestions, such as dynamic, static, or SQL query.
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