SmartPlot

Box Plot

Box Plot preview
Box Plot

A box plot summarizes statistical distributions and makes group comparisons easier. It shows median, quartile range, whiskers, and potential outliers.

Prepare a directly mappable table

Box plots are suitable for grouped numeric measurements, such as conversion values across samples or response values across treatment groups.

Use one group column and one numeric value column. Each group should contain enough values for a meaningful distribution summary.

Practice data · illustrates column structure
groupvalue
Control12.1
Control13.4
Control11.8
Treatment17.2
Treatment18.6
Treatment16.9

Create a box plot

After preparing your data, click the top Plot button, open Statistical Plot, and choose Box Plot. SmartPlot opens the Create Figure dialog.

Step 1

Choose range and output

Confirm the data range, then choose a new figure or add the plot to an existing figure.

Box Plot setupInterface preview · non-interactive
MenuPlot → Box Plot
Data range

Full table: 6 rows, 2 columns

Output

New figure

Add to existing figure

Box Plot setupInterface preview · non-interactive
Value column
value · Y
Group column
group · Group
Step 2

Map values and groups

Map Value column, Group column in order, making sure each selected column has the intended table role.

Step 3

Set box statistics

Set Orientation, Whisker rule for the table structure and confirm that the choices match the intended reading.

Box Plot setupInterface preview · non-interactive
Orientation
VerticalHorizontal
Whisker rule
1.5 × IQR
Box Plot setupInterface preview · non-interactive
Show outliers
Show raw points
Data tableGrouped distribution practice data
Mapped columns2
Review mappings and options before creating
Step 4

Review and create

Check Show outliers, Show raw points, review the mapped-column count, then choose Create figure.

Settings and pre-export checks

  • Value columns
  • Group column
  • Show points
  • Show mean
  • Show outliers
  • Box and axis styling
  • Each group should have enough observations for a stable summary.
  • Box plots hide individual data density, so raw point overlay can be helpful when supported.
  • Use the same units across groups.
  • If there are many groups, increase figure width or rotate labels.
  • Check whether outliers represent real signals or data issues.
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