For Display attribute values as charts, do the following:.
This field categorizes features and labels categories.
Click the Category Field drop-down list and choose a field.
For Display feature counts by category, do the following:.
For aggregate values, four operations are supported: sum, average, minimum, and maximum.
Choose an operation from the Operation drop-down list.
If multiple fields are selected, they display as clustered bars and columns.
Choose one or multiple fields in Value Fields.
This field is used to categorize features and label categories.
For Display values by category, do the following:.
Choose at least one Chart Type and specify its display.
Choose a label from the Category Label drop-down fields.
If multiple fields are selected, they display as clustered bars and column charts.
For Display values feature by feature, do the following:.
It varies based on the display options of the chart. The appearance of a chart is specified by the chart type, color, value fields, and so on. There are four options to analyze, calculate, and display values of a feature layer in a chart.
Set the chart appearance by specifying its types, display settings, and data fields.
Select how you want to analyze and display data.
Set the Data Source, Chart Title, and Description options.
Configure the following parameters to make a chart: The Chart widget supports multiple chart tasks. (For widgets that you need to add to the app first, you can turn on this option after configuring the widget.) The app starts button to change the setting to Open this widget automatically when the app starts. Hover over the widget and click the Do not open this widget when This widget can be set to open automatically whenĪn app starts. Lines, or segments in a pie chart, a statistical operator is When displaying attribute values as bars, For example, in a cities layer, you can display the total population as a bar for all cities in the year 2000, and the other bar for a total population of all cities in the year 2010.
Display attribute values as charts-This chart depicts the statistical value for a specified field or fields in the layer.
For example, in a cities layer, you can specify the population class field as the category, and calculate the counts of cities in each population class.
Display feature counts by category-This chart depicts total feature counts for each category of features in the layer.
For example, in a cities layer, if you specify the state field as the category, you can display the total population for cities per state.
Display values by category-This chart depicts statistical values of one or multiple fields for each category of features in the layer.
You may also want to display the male and female population as clustered bars and columns per city. For example, in a cities layer, you may want to display the population for each city as a bar, column, line, or pie chart.
Display values feature by feature-This chart depicts values of one or multiple fields for each feature in the layer and displays values feature by feature.
Generally, there are four options to analyze, calculate, and display values of a feature layer as charts: Spatial filter to request only desired features to be in the When using the Chart widget, you can also specify a Represent the attribute values of multiple fields as clusteredīars and columns. Values of a single field, aggregated values for multiple fields, or It also must support query capabilities to work with the Chart widget. A feature layer can be from a map service, feature service, or dynamic map service.
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