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Creating a Box Plot

You can create a box plot in a dossier.

To Create a Box Plot

1. Open a new or existing dossier.
2. Click Insert Visualization to add a new, blank visualization to the dossier.
3. In the Visualization Gallery, click Box Plot to create a box plot.

4. Drag objects from the Datasets panel to the Editor panel to add the corresponding data to the visualization. You can also drag objects from the Datasets panel directly onto the visualization.

   Tip: To view data requirements for a graph style, hover your cursor over the visualization icon in the Visualization Gallery.

5. To display a vertical box plot, place one metric in the Vertical area, one attribute in the Horizontal area, and one attribute in the Break By area.

   or

   To display a horizontal box plot, place one attribute in the Vertical area, one metric in the Horizontal area, and one attribute in the Break By area.

   Placing an attribute in the Break By area displays a separate box plot for each attribute element. If you add more than one attribute, a box plot appears for each combination of attribute elements.

6. To color items based on an attribute, place at least one attribute in the Color By area. Each attribute element appears in a different color. If you add more than one attribute, a different color appears for each combination of attribute elements.

   Tip: If you color other graphs and heat maps using the same attribute, each attribute element displays the same color across all graphs and heat maps. Numerify360 for IT automatically selects the colors based on the color palette.

7. You can slice data into rows and columns of separate box plots, based on attributes. If you slice the data into both rows and columns, a table of box plots appears, with a box plot for each combination of the attribute elements.

   Slice your data into rows of box plots. Drag a second attribute to the top of the Vertical area. Each box plot appears in a separate row, one for each element in the attribute. Continue adding attributes to add more rows.

   or

   Slice your data into columns of box plots. Drag a second attribute to the top of the Horizontal area. Each box plot appears in a separate column, one for each element in the attribute. Continue adding attributes to add more columns.

8. Open the Format panel and select Box Plot Options from the first drop-down to display formatting options, specific to box plots.
9. Select the All Points checkbox to display all points in the box plot.
10. Use the Jitter slider to select the minimum amount of space between points. This allows you to separate points, so they do not overlap.
11. In the Other Parameters drop-down, select whether to hide or display only the mean or display both the mean and standard deviation.
12. In Data Labels, select options for the text labels in the box plot.
13. Use the first drop-down to select different areas of visualization for formatting and enter the appropriate options.
14. Click Save .