Swarm Plot Calculator

1. Data Input

Enter a header row followed by categorical and numeric observations.

Dataset

Supported separators include commas, tabs, semicolons, and pipes.

Upload CSV or TSV

Delimiter

2. Column Mapping

Category column

Value column

Group column

Label column

3. Plot Configuration

Orientation

Category order

Value scale

Swarm layout

Point separation

Swarm width

Maximum displacement

Random seed

Axis minimum

Axis maximum

Category-axis title

Value-axis title

4. Marker Styling

Marker size

Opacity

Border width

Marker shape

Colour palette

Custom colour

Show permanent labels

Reverse category order

5. Statistical Overlays

Mean marker

Median marker

Quartile lines

Standard-deviation range

95% confidence interval

Box-plot overlay

Violin overlay

Category counts

Highlight outliers

6. Filtering and Transformation

Categories to include

Groups to include

Label search

Minimum value

Maximum value

Transformation

Outlier handling

Remove duplicate rows

Exclude missing values

Use jitter when density is excessive

7. Generate Plot

Formula Used

A swarm plot preserves each observation while shifting markers along the categorical axis. The shifts reduce overlap without changing measured values. Group statistics describe every visible distribution.

Mean = Σx / n Sample variance = Σ(x − x̄)² / (n − 1) Standard deviation = √variance Standard error = standard deviation / √n 95% confidence interval = mean ± 1.96 × standard error IQR = Q3 − Q1 Outlier limits = Q1 − 1.5 × IQR and Q3 + 1.5 × IQR Min-max value = (x − minimum) / (maximum − minimum) Z-score = (x − mean) / standard deviation

How to Use

Paste data or upload a delimited file.
Enter the category, value, group, and label headers.
Choose layout, marker, overlay, filter, and transformation settings.
Select Generate Swarm Plot to calculate and draw results.
Inspect tooltips, selections, statistics, warnings, and exports.

Example Data

Category	Value	Group	Label
Model A	0.91	Validation	Run 1
Model A	0.87	Test	Run 2
Model B	0.94	Validation	Run 1
Model B	0.90	Test	Run 2

Frequently Asked Questions

What does a swarm plot show?

It shows every numeric observation beside its category. Point displacement prevents markers from hiding each other.

How is it different from a strip plot?

A strip plot usually applies random jitter. A swarm plot attempts structured collision avoidance.

Can I compare model results?

Yes. Use models as categories and experiments or datasets as groups.

How are outliers detected?

The calculator uses category-specific interquartile limits. Values beyond 1.5 IQR are flagged.

Can I use logarithmic values?

Yes. Choose a logarithmic axis or apply a natural-log transformation.

What happens to invalid rows?

Rows with invalid numeric values are skipped. The result area reports excluded rows.

Can groups use different colours?

Yes. The optional group column creates separate colour-coded traces and legends.

Can the category order change?

Yes. Sort by name, mean, median, minimum, maximum, or input order.

Which exports are available?

You can export PNG, SVG, PDF, cleaned CSV, statistics CSV, and copied text.