Descriptive & Visualization · TOOL GUIDE

Box Plot

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Understand the method. Use it with confidence.

Visualize distribution quartiles and outliers. Quantly runs the method against your active analysis context and returns structured results for review and interpretation.

01

When to use it

Use this tool during exploratory analysis to understand distributions, patterns, relationships, or unusual observations.
Use it only when the selected variables and study design match the method's requirements.

02

How to use it

  1. Open the tool from the Quantly Tools panel.
  2. Confirm the active dataset and analysis session.
  3. Set Categorical Variable (X-axis) (Required): Select the categorical variable to group by.
  4. Set Numeric Variable (Y-axis) (Required): Select the numeric variable whose distribution will be plotted.
  5. Review optional or advanced settings and keep defaults unless your design requires a change.
  6. Run the tool, inspect warnings and diagnostics, then save or export the result with its assumptions.
03

How to interpret results

Read the visual pattern together with sample size, missingness, scales, and outliers. A chart or descriptive statistic summarizes the observed data and does not by itself establish causation.