1. Tooltips and hover | 2. Animated bars | 3. A dark theme | 4. Labels that avoid each other | 5. Linked panels | 6. Small multiples | 7. Marginal distributions | 8. Inset plots | 9. Moving between groups | 10. Boxplots | 11. Violins | 12. Sina points | 13. Histograms | 14. Polygons | Where to next

Installation | Connecting to a Server | Exploring Programs and Trials | Fetching Phenotypic Data | Fetching Genotypic Data | Authentication | Handling Credentials Safely | Caching and Parallel Fetching | Comparison with QBMS | Same workflow, different style | References

Overview | Installation | Loading variant data | Option 1: From a VCF file | Option 2: From a data frame or Excel export | Lollipop plot | Adding protein domain annotations | Colouring by sample | Customising further | Consequence summary | By sample | Proportional view | By gene | Mutational spectrum | Faceted by sample | Interactive plots | Colour palettes and theming | Access the built-in palettes | Apply the theme to your own plots | Summary | Session information

Introduction | Other options for faking data | What this package does, and does not do | Examples | Fake business transactional data | Steps for creating realistic looking business transactional data | Protected health information | Plumber api | Conclusion

Contributing | Package API | Install | high level function | locale support | generate a dataset | Data types, localized | person name | phone number | job | Data types, universal | currency | credit cards | Missing data | character strings | numeric data | logicals | Messy data

Communication | Definitions | Example | R6 | Inheritance | Locale specific inheritance | Adding new providers or locales | Adding a new locale step by step | Code work: | Documentation work: | Github work: | Adding a new provider, step by step | Guidelines for providers and locales | Where should I add logic or data? | Prior work and related