The Stacked Column Chart allows you to compare multiple measures by displaying bars stacked vertically, one after the other.
A Stacked Column Chart requires a minimum of one value element and one column element to display. The measure or expression field that you want to analyze can be placed in the Y Values block. The dimension that you want to use for categorizing the measure can be placed in the Columns block. If you want to categorize based on a series, you can also place the respective dimension in the Rows block.
The following steps explain how to configure data for the stacked column chart:
Data Source
button in the configuration panel.CREATE NEW
button to initiate a new connection from the connection type panel.Microsoft Excel
connection type is selected.NEW DATA SOURCE
configuration panel, fill in the connection type and related details. Then, click the Connect
button.Save
button.Properties
button in the configuration panel, and the property pane will open. Now, switch to the ASSIGN DATA
tab.ASSIGN DATA
tab will be opened, displaying the available measures and dimensions from the connected data source.Measures
and Dimensions
into the designated field.You can add more than one Measures
into the Value(s)
ga field by dragging and dropping the required measure.
Click the Settings
option to change the name by using the Rename
option and selecting the required summary type from the available summary types shown in the Settings
menu.
You can filter the data to be displayed in the chart by using a filter. For more details, refer to the filter.
You can format the data to be displayed in the chart by using the format option. For more details, refer to the measure format.
To remove the added value fields, click the highlighted button.
You can add more than one column from the Dimensions
field to the Value(s)
field.
You can add more than one value to the Columns
field.
The chart will be rendered like this.
You can change the Settings
.
The configured field names can be edited by using the Rename
option provided in the settings menu.
You can sort
the dimension data using the Sort
option under the Settings
menu list. To apply sorting to the data, refer to the Sort.
To apply filters, select the “Filters” option in the settings. For more details, refer to the filter.
To view all records, click on Show All Records
.
Similarly you can add the Measures
and Expression Columns
into the column field.
If more than one value is added to the Columns
field, an alert message will be displayed. Click Yes
to enable the option.
NOTE: If you click
No,
a single value will be added to theColumns
field.
The selected view of the chart region is drilled.
Once you’ve drilled down, you can drill up to the previous view using the breadcrumb navigator located at the top of the widget.
You can drag and drop the Dimension
into the Rows
field.
You can apply filter and sort option for the rows field, if required.
This will display the chart in a series.
Hidden columns are useful in cases where we do not want the fields to participate in the visualization, but rather be used for linking, filtering and view data.
We can configure both measure and dimension fields in the hidden column. For measures, we will have all the settings we have for measure fields except formatting and filtering.
In the case of dimension fields, we will have the following options only. In Date fields, we will have all available types except sorting, relative date filter, settings, and filters.
The primary use case for hidden columns is linking. When configuring hidden columns, the fields that are set in hidden columns will be listed in the linking section. When configuring the column in linking, we can pass the corresponding column value as a linking parameter.
Measure Based Example: If we want to pass the number of matches played as a URL parameter but do not want it to affect the visualization, we can configure the matches in the hidden columns and include them in the link.
Dimension Based Example: If we want to pass the number of Team Name played as a URL parameter but do not want it to influence the visualization, we can configure the Team Name in the hidden columns and incorporate them into the link.
You can use hidden columns to filter data in the visualizations. Configure the hidden columns and click the filter icon below.
Click the Custom button that is highlighted in the filter configuration dialog image below. It will list all the fields that are configured in the widget. Keep the field that is configured in the hidden column and remove the other fields. Finally, click the Update button.
Now, we can see in the image below that the data is filtered based on the hidden column field instead of the actual column that was bound in the widget.
For more details about filtering the widget data, refer to the Cross Filter Configuration documentation.
You can view the data in the hidden columns in the underlying data view. This is helpful for checking the data in more detail and can assist you in identifying any issues with the data.
NOTE: We do not recommend configuring lower hierarchy data in hidden columns, as indicated by the info icon in the
Hidden Column
section.
The chart below displays the goals and attempts on target by each team, without any hidden columns.
If we configure lower hierarchy data (Player Name) in hidden columns compared to column and row field data, the data configured in the widgets gets duplicated, and individual columns are split based on the hidden column field. This affects the chart visualization, as we can see in the image below.
You can format the stacked column chart to better illustrate the view that you require by using the settings available in the Properties
tab.
To configure data into a stacked column chart, follow these steps:
Please drag and drop the stacked column chart onto the canvas and resize it to your desired size.
Please configure the data into a stacked column chart.
Please focus on the stacked column chart and click on the widget settings.
The property window will be opened.
You can view the list of properties that are available for the widget, with the default value.
This feature allows you to set the title
for this stacked-column chart widget.
This feature allows you to set a subtitle
for the stacked-column chart widget.
This feature enables you to provide a concise explanation for the stacked column chart widget.
This option allows you to toggle the visibility of the tooltip in a chart.
Click the Change
button to open the Chart Type and Axis Settings
dialog.
Chart Type: This feature enables you to change the widget view from the current chart type to a different convertible chart type.
Secondary Axis: By default, the configured field is plotted as the primary axis. If you enable this option, the selected field will be plotted as the secondary axis.
It animates the measure values when you toggle the Enable Animation.
This feature allows you to toggle the visibility of the value labels.
If you disable the Show Value Labels
properties, the dependent properties, which are color, Value label position, Value label rotation and Value label suffix will be hidden.
This feature allows you to customize the visibility of value labels in each series by toggling it.
This allows you to customize the color of the value label.
This option allows you to customize the position of the value label in a chart. By default, it is set to Auto
, so the label position for the stacked column chart will be set to the middle.
This feature enables you to specify the rotation angle for displaying the value labels.
This feature allows you to display or conceal the suffix value of value labels.
This feature enables you to customize the suffix value of the value labels.
Note: When the height and number of data in the chart were increased, the value label was hidden. Use the label rotation property to make the label visible.
This allows you to display data for columns that do not have a value.
This allows you to handle the display mode of the data point values if they are null or undefined when the Show Items With No Data
is enabled.
This option allows you to display null or undefined values as gaps.
This option allows you to display null or undefined values on the zero axis.
This option allows you to display null or undefined values along with the average value.
This option allows you to increase or decrease the width of the column by using the Column Width
.
This option allows you to increase or decrease the space between the columns by using the Column Spacing
.
When this support is enabled, the size of the chart scroll bar thumb will be calculated based on the total number of records. This means that you can see the last record by simply scrolling once.
This option allows you to set the number of records that need to be fetched on initial load.
A legend is a text used to describe the plotted data. This allows you to toggle the visibility of the legend in the chart and also change the position of the legend text by selecting from the combo box.
Enabling the Custom Legend Text option will allow you to define a custom text, using the text area, to display for each legend series. You can select the series through the combo box in a chart.
The chart’s legend interactivity
option allows you to control the behavior of the chart legends. This provides an option to make the chart legends non-clickable, which can be especially useful in scenarios where you do not want users to hide or show series data by clicking on the legend. This might also be useful when displaying critical pieces of data that should always be present for accuracy and contextual purposes.
Disabling the Interactivity feature in the Legend Settings category prevents you from clicking on the legends.
Enabling the Interactivity feature in the Legend Settings category allows you to click on the legends.
This feature allows you to modify the title and label colors of the chart legend.
You can customize the legend text through the Custom Legend Settings
dialog. This dialog will display the legend text list as labels on the left and a corresponding text area on the right, where you can add formatted text to be displayed instead.
Legends can be displayed as a dropdown menu when the legend position is set to “dropdown.” When you hover over a chart, a legend icon appears. Clicking on this icon will bring up a legend dropdown. This feature allows you to toggle the visibility of the legend in the chart.
This option will hide the legends in the chart area, resulting in increased chart space and enhanced visibility.
The chart legend dropdown option can be used to simplify viewing complex charts with multiple data sources. For example, if you have a chart displaying sales data for the different years, you can use the legend dropdown to deselect all other years and focus only on a specific year.
This enables you to modify the shape of the legend.
Circle
This option allows you to change the shape of the legend in a Circle
.
Series Type
This option allows you to change the shape of the legend in a Series
.
This allows you to add the legend title for the chart, which will be reflected with the Show Legend
option.
This option allows you to customize the legend text based on the value of the Text Width
property.
None
This option enables you to display legend items without any wrapping or trimming.
Trim
This option allows you to trim the legend items if their legend exceeds the Text Width
value.
Wrap
This option allows you to wrap legend items based on Text Width
value.
This option allows you to set the maximum width for the Legend Items, and it is applicable only if the text-overflow is set as Trim or Wrap.
If you uncheck the Show Legend
property in the property panel, the dependent properties, which are Legend color, Legend position, customization button and Legend title, are also hidden.
NOTE: For a single series, the legend won’t be visible.
This option enables you to format the values of the primary and secondary axis using the formatting details provided through the Format
button. For additional information, please consult this measure format.
You can enable linking and configure it to navigate to a general URL with or without parameters. For more details, refer to the Linking section.
This section allows you to customize the axis settings in the chart.
This allows you to customize the color of the axis title.
This enables you to customize the color of the axis label.
This allows for the visibility of the Category Axis
to be enabled.
If you disable the Show Category Axis
option, dependencies properties, which are Show axis title, Axis title text, Trim overflow mode, Trim axis labels, Label Rotation and Auto Interval option will be hidden.
This feature allows you to enable the visibility of the Category Axis
title.
This allows you to edit the title of the Category Axis
for the chart. It will be reflected in the x-axis name of the chart.
If we uncheck the Show Axis Title
property, the Axis title text box property will be hidden.
This feature enables you to control the display mode of the overlapping labels in the Category Axis
.
Trim
This option trims the end of the overlapping label on the axis.
Hide
This option hides the overlapping label on the axis.
This option allows you to trim the axis labels based on the value of the Maximum Label Width
property.
This option allows you to set a maximum width for the axis labels and also makes them customizable when the trim axis label
option is enabled.
This allows you to define the rotation angle for displaying the category axis labels.
By default, the Auto Interval
property is enabled. The Auto Interval property is used to automatically set intervals based on the number of data points for category axis labels. If the user wants to customize the interval, they need to disable auto interval and manually set the desired interval.
This allows you to enable the Primary Value Axis
for the chart.
If you disable the Show Primary Axis
option, dependencies properties, which are Axis title, Axis title text, Axis type and Axis Format properties will be hidden.
This feature allows you to enable the visibility of the title of the chart’s Primary Value Axis
.
This allows you to edit the title of the Primary Value Axis
, which will be reflected in the y-axis name of the chart.
By default, the chart axis shows positive values at the top and negative values at the bottom. However, there are times when we need to invert the axis and display negative values at the top and positive values at the bottom. For example, when binding temperature data to the chart and wanting to display negative values at the top, we can utilize this property.
Enabling this property will cause the chart to display negative values at the top and positive values at the bottom.
This allows you to manually set the minimum, maximum, and interval values of the primary value axis through the Axis Range Settings
dialog.
It will be reflected in the primary value axis of the chart.
This feature enables you to dynamically set the minimum, maximum, and interval values of the primary value axis using the Axis Range Settings
dialog by utilizing the dashboard parameter values. Only dashboard parameter values of number type are permitted in the axis range properties. You have the ability to create various types of dashboard parameters.
For more details about dashboard parameter, refer to the Dashboard parameter documentation.
A single value is stored in this type of parameter.
Click on the axis range settings dialog and enter @
in any textbox (minimum, maximum, and interval). Select the parameter value (only number type parameter values are allowed).
Now, the parameter value is reflected on the chart axis.
If you want to have the same ranges in multiple cases, create a parameter value of the range type. This type of parameter includes both the start and end values.
@
in any textbox (minimum, maximum, and interval). The range parameter is split into start and end parameters. The value entered in the first textbox is stored in the start parameter, and the value entered in the second textbox is stored in the end parameter. Only number type parameter values are allowed for selection.@
in any textbox(minimum, maximum and interval). Select the parameter value.This option allows you to format the values of the primary and secondary axis using the formatting details provided by the Format button. For more information, please refer to this measure format.
This enables you to enable the gridlines for the Primary Value Axis
in the stacked column chart.
This enables you to enable the gridlines for the Category Axis
in the stacked column chart.
This allows you to enable the gridlines for the Secondary Value Axis
in the stacked column chart.
This feature enables you to customize the color of the widget.
This allows you to apply color to chart series either by using a default palette or a custom color palette. By default, the colors will be applied using the default palette. This series of settings will only be visible if we have configured the row section in the chart.
This option allows you to apply the default color for the chart series.
By toggle off the Use Default Palette
option, the Color Mapping Type
will be shown.
By using the Color Mapping type, you have the ability to apply colors to the series either based on data or index.
Data
It allows you to apply color to chart series based on data. If you want to assign a specific color to specific data (e.g., Violet color for 2021, Sky Blue color for 2022, and green for 2020), you can use data-based color mapping. The default Color Mapping Type is Data
.
Index
It allows you to apply color to chart series based on their Index
, ensuring that the colors remain consistent even if the data is changed. It provides a selection of 15 unique colors, after which the colors will start to repeat from the ones used previously.
For example, if you are displaying the countries based on the increasing order of the case count, then index-based color mapping will be useful for setting the colors based on the rank. For instance, red color can be assigned to the top country, and this red color will be maintained for the country with the largest case count.
Note: We prefer to use index-based color customization only for a minimum amount of data (up to 15 series).
This section allows you to customize the font size of chart elements.
By default, the Auto Font Size
property is enabled. The auto font-size property is used to set the font size based on the resolution of the client machine viewing the dashboard. If the user wants to customize or set a fixed font size, then the user needs to disable the auto font size and set the required font size.
This allows you to define the stacked column chart widget as a master widget, so that other widgets in the dashboard can listen to its filter action.
This allows you to define this stacked column chart widget as ignoring the filter actions applied to other widgets in the dashboard.
Through this option, you can enable or disable the hierarchical top N
filtering. When applying the Top N filter with multiple dimension columns, the returned data can be customized based on whether the filtering needs to be done as flat or based on the hierarchy of the dimension columns added.
When the Hierarchical Filter
option is enabled, the Top N will be applied to each individual column separately, based on the number set for each column.
This section allows you to customize the Container Appearance
for the stacked-column chart widget.
This allows you to align the widget title to either the left, center, or right.
This allows you to apply the text color
to the widget title.
By enabling Auto Font Size, the title’s font size will adjust automatically based on the screen resolution.
Font Size
This allows you to apply the specified font size to the widget title if the Title Auto Font Size is disabled. The value can range from 10 to 44.
When Auto Font Size is enabled, the subtitle’s font size will be automatically adjusted if the screen resolution varies.
Font Size
This feature enables you to apply a specific font size to the widget title when the Subtitle Auto Font Size is turned off. The value can range from 10 to 32.
When Auto Padding is enabled, the padding of the widget container will be adjusted automatically if the size of the widget varies.
Padding
This allows you to customize the padding of the widget container if the Auto Padding is disabled. The value can be between 0 and 25.
This feature allows you to toggle the visibility of the border
surrounding the widget.
This allows you to apply the specified radius
to the widget corners if the Show Border is enabled. The value can be between 0 and 10.
This feature allows you to set the background image for the stacked-column chart widget.
This feature allows you to set the background color for the stacked-column chart widget.
This property allows you to specify the transparency for the background color.
This feature allows you to toggle the visibility of the shadow
surrounding the widget.
This section allows you to customize the Container actions
for the stacked-column chart widget.
This option allows you to enable or disable the widget title
of the stacked column chart.
This allows you to enable or disable the maximized mode
of the stacked-column chart widget. The visibility of the maximize icon in the widget header will be defined based on the setting in the viewer.
This allows you to enable or disable the CSV export
option for the stacked-column chart widget. Enabling this allows you to export the summarized data of the widget view to CSV format in the viewer.
This allows you to enable or disable the Excel export
option for the stacked-column chart widget. Enabling this allows you to export the summarized data of the widget view to (.xlsx or .xls)
format in the viewer.
This allows you to enable or disable the Image export
option for the stacked-column chart widget. Enabling this allows you to export the view of the widget to image format (.jpg), (.png), or (.bmp)
in the viewer.
This allows you to enable or disable the PDF export
option for the stacked-column chart widget. Enabling this allows you to export the view of the widget to pdf format in the viewer.
This allows you to enable or disable comment
for the dashboard widget. For more details, refer to the Commenting Widget.
This allows you to visualize the raw data associated with a widget at runtime.
To learn more about viewing the underlying widget data, refer to the view data documentation.
This allows you to pin the widget.
We hide the widget elements based on the size of the widget for better readability.
When the chart has been placed with fewer than 7 columns, the Y-axis labels and titles will be hidden.
When the chart has fewer than 6 rows, the X-axis labels, X-axis titles, and gridlines will be hidden.