Bar Chart

The view can be accessed either via the “Open view” action on the executed node or on KNIME Hub.
In the node configuration, you can choose the aggregation method and enable certain controls, which are then available in the view. This includes the ability to choose different columns for the category and frequency axis or the possibility to set a title.
The configuration also offers a preview of the view, which should help to get the bar chart in the desired shape quickly.
Since missing values as well as NaN (not a number) or infinite values cannot be displayed in the view, they will be omitted.

Interactivity between multiple views is currently only possible for views coming from the KNIME Views extension.

Options

Category dimension

Select the column that contains the category values. Note: Missing values are treated as separate category.

Aggregation

Select the aggregation method used on the selected frequency columns. In case of “None” every row of the table is treated as a separate category. Note that in this case duplicate categories can exist. In case of “Occurrence Count” the occurrence of the number of rows that share a given category is determined.

Frequency dimensions

Select the columns with frequencies for which you wish to plot bars. Note: Missing values in the frequency column will be ignored with a corresponding warning message. If, after aggregation, some bars or entire categories contain only missing values, they will be excluded from the view and a warning message will be raised.

Limit rows

Controls how many rows are shown per frequency column.

• Automatic: Automatically sets the number of rows so that approximately 100 bars are shown. The actual number of rows is calculated based on the number of selected frequency columns.
• Custom: Defines a specific number of rows to be shown.
• None: No limit is placed on the number of rows shown.

Max rows

This setting is only available when “Custom” is selected for “Limit rows”. Specifies the exact number of rows to be displayed.

Title

The title of the graph shown above the generated image. If left blank, no title will be shown.

Custom category axis label

The label used for the category axis. If the checkbox is deactivated, the label will correspond to the selected dimension. If activated and left blank, no label will be shown.

Custom frequency axis label

The label used for the frequency axis. If the checkbox is deactivated, the label will correspond to the selected aggregation method. If activated and left blank, no label will be shown.

Frequency axis limits

Choose if the axis range of the frequency axis should be calculated automatically by the charting framework or set manually. This option is only possible when Aggregation “None” is selected.

Frequency min

Numerical value that sets the frequency axis minimum.

Frequency max

Numerical value that sets the frequency axis maximum.

Orientation

When “Horizontal” is selected, the bar chart is plotted horizontally. By default bar chart is plotted with vertical bars.

Arrange bars

When “Stacked” is selected, the bars of the same category are stacked on top of each other.

Bar groups

When “Frequency dimensions” is selected, the bars will be grouped by the frequency dimensions and colored by the category values.

Display legend

When checked, the chart’s legend is displayed.

Show bar values

When checked, the values will be shown on top of each bar.

Enable image download

When checked, an image of the chart can be downloaded by clicking the image download button in the view.

Show tooltip

When checked, hovering over a bar will show information about the data.

Selection

“Show” makes this view receive notifications about changes of the selection. “Edit” also allows you to change the selection and propagate any changes you make here to other views that show the selection.

Enable animation

When checked, the animation of the graph is active.

Generate image

If checked, adds an image output port and, upon execution, generates an image which is made available via this port.

Image type (SVG, PNG)

Choose between the superior quality provided by SVG vector graphics and the better performance of the PNG raster images. SVG graphics are sharp, also when zoomed, and text labels within the graphic can be searched for. On the other hand, PNG images can be smaller and render faster when there are many data points, for example, in a scatter plot.

Width

The width of the generated image (in pixels).

Height

The height of the generated image (in pixels).

Views

Bar Chart

A bar chart visualization of the input data.

Workflows

• 00 Send Reporting_vMediumKNIME Hub
• 00_Combine_Clean_and_Summarize_Spreadsheet_DataKNIME Hub
• 00_Install_ExtensionsKNIME Hub
• 00_Your_First_Workflow_SolutionKNIME Hub
• 01_ ExercisesKNIME Hub
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Links

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