Plotting Pie Charts in the Data Manager

A Pie Chart is a circular chart divided into sectors, illustrating numerical proportion. The size of each slice is proportional to the frequency of the values in the dataset.

 

Plot elements

Attribute

Mandatory

Constraints

Color

Yes

 

Prerequisites

  • You must have created a flow;

  • You must have linked the Data Manager to the task which contains the data to work on.

Procedure

  1. In the Plots tab of the Data Manager, click on the plus button to add a new plot.

  2. Select the plot type and choose the Pie Chart.

  3. Drag the required attributes onto either the x or y axis, or both. If you want to build more complex plots, follow the guidelines listed below.

  4. If required, work on the attributes on the plot, for example to modify their values.

  5. Configure the plot options, if required, by right-clicking on the single plot elements' icons.

  6. Hover over each bar to view the number of values it represents. If you place your pointer on the bars, a small box showing the count of the values appears.

  7. Modify the display options, if required.

  8. Click on the wrench button to configure the overall layout settings.

  9. Save and compute the task.

Customization constraints

  • If you drag a second attribute on an element of an existing plot, the first attribute is replaced by the new one;

  • If you drag a second attribute on an element of an existing plot, hold down the CTRL button on your keyboard when dropping the second attribute to create another plot with the new attribute on the chosen element.

  • If you drag a second attribute on an element of an existing plot, hold down the SHIFT button on your keyboard when dropping the second attribute to add the second attribute to the same plot, so that one element will contain two attributes.
    You can decide to separate the attributes onto two different plots, by right clicking on the attribute and selecting Detach. If you want to merge the two attributes again, right click on the second attribute and select Attach.

To know more about the plot’s elements, go to the Elements page.

Example

The following example uses the Supermarket_Sales dataset.

Step

Screenshot

  • Add a new plot and drag the required attributes onto the elements.

  • In the example here, we decided to drag the Product line attribute onto the color element. As we can see, in the Product line attribute the values are divided as follows:

    • Fashion accessiories: orange

    • Food and beverages: red

    • Electronic accessories: blue

    • Sports and travel: yellow

    • Home and lifestyle: green

    • Health and beauty: light blue

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