Position and align the category labels according to the axisĭecimals to display for each value scale. Category axis ( X axis for scatter plots).Axes (unavailable for pie charts)-Customize the properties of the category axis and.For line and area charts, you can display points for each statistic value and edit the point symbol style.Symbol style and the series label (series label distinguishes each Label-Display and align the value label on each The same type side by side, stacked, or 100 percent stacked. Series (unavailable for pie charts and scatter plots)-Change the stacking type, symbols, and labels.Maximum categories-Specify the maximum categories to display in the chart.Sort by-Sort the chart by values or category name, in ascending or descending order.Select a value for X-axis number and Y-axis number. Variables (scatter plots only)-Choose which numerical attributes to display on the axes.Number Fields-Select one or multiple fields for which to.Sum, average, minimum, maximum, and median. Or records for a specified field or fields. By field-Display attribute values as charts, depicting statistical values of all features.Methods includeĬount, sum, average, minimum, maximum, and median. Statistical values for the specified number fields. Statistical values of one or multiple fields for each By group-Display values by category, depicting.Category type-Options vary based on category.The chart by choosing a category type and configuring which dataĪttributes to visualize and how to present them. Data-Define how to generate the data series for.Use a scatter plot to show the relationship between two sets of data by plotting points on a graph.Use a pie chart to illustrate proportions for categorical or nominal data, either in a sliced pie or donut style.An area chart has a pattern similar to line charts but is ideal for indicating a change among different datasets to show how values develop over time. Use a line chart to visualize change over a continuous range, such as time or distance.Use a bar chart to summarize and compare categorical data.If the connected data source contains a chart, you can create a chart from an existing chart. Template to start with that matches how you want to present theĭata analysis. Particular order, or limit the number of features. In theĭata view settings, you can filter the data to restrict whatĪppears in the widget, sort the data to display features in a The Chart widget includes the following settings:Īttributes to analyze in the Chart widget. Output data source of another widget, such as.Scene layer in an existing map or added from a service Operational layers, including a feature layer or.The data source for a chart can be one of the Select a chart template to start with a specific chart You can use the chart widget on a page with You want to compare feature attributes graphically.ĭata source.You want to analyze and visualize data patterns.
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