Plotting Scatter Plots in the Data Manager

Through Scatter Plots you can display two or more variables' values using a collection of points in Cartesian coordinates. The position where a point is placed corresponds to a value: the size of each circle is proportional to the frequency of the values in the dataset. They are used for plotting quantifiable relationships between values, in order to identify anomalies, data variance, groups. They are very useful if you wish to understand if there are any general relationships within the data.


Plot elements





Either x or y must be specified



Either x or y must be specified






  • You must have created a flow;

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


  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 scatter plot.

  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.

X and Y guidelines

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

  • If you drag a second attribute on an axis of an existing plot, holding down the CTRL button on your keyboard, you create another plot with the new attribute on the chosen axis.

  • If you drag a second attribute on an axis of an existing plot, holding down the SHIFT button on your keyboard, you add the second attribute to the same plot, so that one axis 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.


The following example uses the Students Performance dataset.



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

  • In the example here, we decided to drag the reading score attribute onto the X axis and the writing score attribute onto the Y axis.

  • Take a look at the results: if you place your pointer on the plot, small text boxes will appear, indicating the value on the X axis, and the range on the Y axis corresponding to it.

  • In this picture we have placed the pointer onto the 34 value of the reading score attribute (X axis) and 36 of the writing score attribute (Y axis).