The Faceting Tool is used to organize visual outputs into separate sections or views based on categories in your data.
Faceting is useful when one forest plot becomes too large or when you want to compare results across groups.
When to Use Faceting
Use faceting when you want to compare data by:
- Disease area.
- Study group.
- Population.
- Cohort.
- Gene.
- Trait.
- Drug class.
- Outcome category.
Example
If your CSV contains a disease_area column, you can use faceting to separate results by disease area.
Example categories:
- Cardiovascular
- Inflammation
- Oncology
- Metabolic
Benefits of Faceting
Faceting can help you:
- Reduce visual clutter.
- Compare categories more easily.
- Create cleaner report outputs.
- Separate complex datasets into meaningful sections.
Best Practices
- Use faceting only when your dataset has meaningful categories.
- Avoid creating too many small facets.
- Use clear category names.
- Review the result after applying faceting.