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Radar Scatter and Bubble
plots are useful to display ordinal measurements of one or two variables across a range of categories. Radar Scatter and Bubble plots arrange categories on a circle and connect the corresponding points with straight lines. Data values are represented by data points called Symbols
and laid out along the radial lines. The size of a symbol in a Radar Bubble
plot can represent additional information about the data point.
In its simplest form, a Radar Scatter plot visualizes measurements of one variable. A radar bubble plot encodes additional information using the size of data points. For instance, the simple radar bubble demo displays the average monthly temperature and precipitation in Paris, France. The former variable is represented by the position of the data points on radial lines, while the data points' size represents the latter.
You can configure Radar Scatter and Bubble plots to split data values into subcategories and visualize them using symbols' colors, shapes, or both. For instance, the multi-category radar scatter demo displays the average monthly temperature in three European cities that are distinguihed by data points' colors.
You can configure all these types using the Radar Scatter
and Radar Bubble
plot templates and their properties described in the following sections.
You can use the following demos to explore plot properties - open a link, toggle the Report explorer, select the Plot - Plot 1
node and use the Properties panel to modify the configuration.
You could also download the report files listed below and open them in the Standalone Report Designer.
If you add a chart into a report, set the plot type to Radar Scatter
or Radar Bubble
on the first page of the Chart Wizard
, and click the Next
button, the wizard shows the Radar Scatter Settings
or Radar Bubble Settings
page that looks like the following:
The Data Values
section allows you to confugure Data Values.
The Data Categories
section allows you to set the Category Encoding.
The Radar Scatter and Bubble plot's Values
collection determines data values displayed by data points arranged across the radial lines. The collection items consist of two properties:
The Value
is usually a bound field reference. The Properties Panel displays the Value
as the collection, but Radar Scatter
and Radar Bubble
plots take the first item only. The Chart Wizard displays Value
as Field
.
The Aggregate
is an optional function, such as Count
or Average
, that reduces many field values into a single one.
For instance, both demos mentioned above have the Value={AvgT}, Aggregate=None
Data Value. AvgT
stands for the average temperature from the data set, so applying an aggregate function is not required.
Note: Radar Scatter
and Radar Bubble
plots can have only one data value.
The Category Encoding
of Radar Scatter and Bubble
plots is a set of properties that determine categories for which the plot generates the data points representing those above Data Values
.
The Category
is usually a bound field reference. Bound DataSet Records with the same value of that field fall into the same category. For instance, the Simple Radar Bubble Plot Demo is bound to the Climate
DataSet containing several fields, including the Month
field, for each data record. The plot's Category
is set to {Month}
expression. Therefore the plot goes through the Ratings
DataSet finds the distinct Month
values and generates one category per month. If you preview the demo output, you can see all twelve months.
The Category Sorting
configuration determines the order of the category values appearance.
The Chart Wizard
offers the simplified editor of the Category Encoding
in the Data Categories
section:
A single Category Expression
displayed as Field
is available.
The Sorting
configuration of the Category Encoding
displays the Sort direction
property only. The Sort Expression
is automatically set to the Field
value.
The Details Encoding
allows you to break down those above Data Values
into subcategories for more granular analysis of changes.
The Details
property of Radar Scatter and Bubble
plots is the collection of items that determine these subcategories. Each item includes several properties:
The Values
is usually one or more bound field references. Bound DataSet Records with the same values of these fields fall into the same subcategory. For instance, in the Multi-category Radar Scatter Plot Demo the Details
value is {City}
. Consequently, the Average Temperature
of each month splits into the Amsterdam
, Barcelona
and Paris
subcategories that generate a data point.
The Exclude Nulls
flag indicates whether DataSet Records with an undefined Details Value
should be excluded from the visualization.
The Sorting
configuration determines the order of categories' appearance.
The Colors Encoding
enables the color legend of the Category Encoding
or Details Encoding
and includes the Color
expression and the optional Color Aggregate
function that reduces many Color
values into a single one.
Suppose the Details Encoding
is empty. In that case, Radar Scatter
and Radar Bubble
plots calculate distinct Color Encoding
results for the categories produced by the Category Encoding
and convert them to the background color of the data points.
Otherwise, the plot calculates distinct Color Encoding
results for the subcategories produced by the Details Encoding
and converts them to the background color of the data points.
In both cases, the plot picks up colors from the Chart Palette and displays the match between colors and encoding results in the legend.
For instance, the colors encoding in the Multi-category Radar Scatter Plot Demo uses the {City}
expression. Consequently, the report output shows the colors legend that matches Cities with corresponding data points colors.
Note: The Color
property is the collection, but the Radar Scatter and Bubble
plots take the first item only.
The Shape Encoding
enables the shape legend of the Category Encoding
or Details Encoding
and includes the Shape
expression and the optional Shape Aggregate
function that reduces many Shape
values into a single one.
Suppose the Details Encoding
is empty. In that case, a Radar Scatter
plot calculate distinct Shape Encoding
results for the categories produced by the Category Encoding
and convert them to the shape of symbols for the corresponding data points.
Otherwise, the plot calculates distinct Shape Encoding
results for the subcategories produced by the Details Encoding
and converts them to the shape of symbols for the corresponding data points.
Supported shapes are Dot
, Box
, Diamond
, Triangle
, Cross
, Dash
, Plus
.
If the Color Encoding and the Shape Encoding use the same value, then the shape legend and the color legend are merged into the single one.
For instance, if you set the Shape Encoding
to City
for the plot in the Multi-category Radar Scatter Plot Demo, the plot uses symbols shapes in addition to colors to distinguish between cities.
Note: The Shape
property is the collection, but a Radar Scatter
plot take the first item only.
The Size Encoding
of a Radar Bubble
plot enables the size legend and includes the Size
expression and the optional Size Aggregate
function that reduces many Size
values into a single one. The Size Encoding works only with numeric values and breaks them down into ranges that determine the size of the data points. It allows you to encode additional information in a radar bubble plot.
For instance, the Simple Radar Bubble Plot Demo has the size encoding is set to {Precipitation}
expression. Thus, the plot uses the range of symbol sizes derived from the Precipitation
field values.
Note: The Size
property is the collection, but a Radar Bubble
plot take the first item only.
The following properties allow you to fine-tune the outfit of Scatter
and Bubble
plots. You can see their effect in action by modifying the configuration of any demos referenced above.
The Symbol Opacity
is a number in percentage that determines the opacity of symbols. 100%
means they are opaque, and 0%
means that they are entirely transparent.
The line properties, the Background Color
expression, and the Symbol Shape
allow you to set up the appearance of symbols. If the Symbol Shape
is Auto
, then the plot either picks the default value or applies the Shape Encoding
that we described earlier.
The Clipping Mode
indicates the manner that the plot area draws a plot:
Fit
value means that the plot area should use all the available space to fit the plot
Clip
value means that the plot area cuts off the plot on the edge of its right or bottom padding
None
value equals to Fit
The Start Angle
is a number in arcdegree that defines the rotation of the plot clockwise. Full rotation is 360
degrees.
The Text Encoding
collection offers a way to configure radar scatter and bubble plots to display customized labels and tooltips on the data point symbols. Each item within this collection has the following properties:
Values
: This is an expression that can reference the values of the bound fields.
Aggregate
: This optional function, such as Count
or Average
, can condense multiple field values into a single value, evaluated within the current detail or category context.
Template Key
: A string used within the Labels or Tooltip template to represent the text encoding item.
Target
: This property specifies whether the text encoding item is meant for the plot's labels or tooltips.
Adding items to the Text Encoding
collection allows automatic display of configured values in Labels or Tooltips, based on the Target
value of each item. To further customize the text of the labels and tooltips, you can employ the Tooltip Template
and Label Text Template
expressions.
Apart from Text Encoding items referenced by their keys, you can utilize the following pre-defined values:
{valueField.name}
: Represents the field name bound to a Data Value.
{valueField.value}
: Represents the current Data Value within the containing Category or Details.
{PercentageDetail}
: Represents the percentage share of the current Data Value among all values within the same Details.
{PercentageCategory}
: Represents the percentage share of the current Data Value among all values within the same Category.
{categoryField.name}
: Represents the field name bound to the Category Encoding.
{categoryField.value}
: Represents the current Category Encoding value.
{detailFields.name}
: Represents the field name bound to the Details Encoding.
{detailFields.value}
: Represents the current Details Encoding value.
{colorField.name}
: Represents the field name bound to the Color Encoding.
{colorField.value}
: Represents the current Color Encoding value.
{shapeField.name}
Represents the field name bound to the Shape Encoding.
{shapeField.value}
Represents the current Shape Encoding value.
{sizeField.name}
Represents the field name bound to the Size Encoding.
{sizeField.name}
Represents the current Size Encoding value.
These values can be combined and formatted using the interpolation syntax and supported format strings that are also used for the TextBox Report Item.
For example, the plot in the Simple Radar Bubble Plot Demo uses an advanced tooltip configuration:
The Text Encoding
contains the SalesQuantity
element that displays the number of sold items:
Aggregate
= None
Value
= {MaxT}
Target
= Tooltip
TemplateKey
= MaxTemperature
The Tooltip Template
is configured with the following expression:
Max Temperature: {MaxTemperature}
A subset of text properties in the Label Text
section and the line properties in the Label Border
section allow you to set up the corresponding visual parameters of the plot labels.
The Label Position
and an optional Offset
in pixels determine the location of labels relative to a parent data point symbol:
Inside
- on the inner side of data points closer to the center of the plot
Outside
- on the outer side of data points closer to the edge of the plot
Center
- on the data point
Auto
- equals to Outside
The Overlapping Labels
property indicates the handling of overlapping labels. Possible values are:
Auto
- hides some labels to prevent the overlapping
Show
- shows all labels even if the overlapping persists
The line properties in the Label Line
section allows you to add the connecting lines between labels and their parent data points. The Label Line Position
determines the connection point of a label's bounding box and the line:
Auto
- selected automatically
Center
- on the center of the bounding box side
The Rules
configuration allows you to create if this then that
rules based on one or more data conditions to apply to the plot appearance. A condition is an expression that may refer to one of the following values:
Chart!CurrentData
- the current Data Value
Chart!PreviousData
- the previous Data Value
Chart!NextData
- the next Data Value
Chart!CurrentCategory
- the current Category Encoding
value
Chart!PreviousCategory
- the previous Category Encoding
value
Chart!NextCategory
- the next Category Encoding
value
Chart!CurrentDetail
- the current Details Encoding
value
Chart!PreviousDetail
- the previous Details Encoding
value
Chart!NextDetail
- the next Details Encoding
value
A condition expression can also include references to report parameters and standard operators. The easiest way to build a condition is to use the expression editor that you can open by click on the box on the right side of the Condition
property.
The following visual properties of Radar Scatter
and Radar Bubble
plots can be applied when a condition is met:
The background color of a data point symbol
The border color of a data point symbol
The border width of a data point symbol
The border style of a data point symbol
The tooltip and label template
For instance, you can set the following rules for the plot in the Simple Radar Bubble Demo to apply a custom background color for data points that are above 20 degrees Celsius:
As a result, the output of the chart will be like this:
This group of properties determine the Interactive Action when a report reader clicks a data point symbol. You can use bound field references to pass parameters in a drill-through report or configure a dynamic bookmark or URL. The field value is evaluated in the scope of the current detail or category. Visit the Drill-Through Reports Walkthrough for more information. It explains how to set up the drill-through column plot, but the same technique applies to a radar scatter or radar bubble plot.