Introduction | Problem setup | Taxonomy of methods | Comparing methods on a simulated series | Accuracy metrics | Visual evaluation | Evaluation study on canonical signals | Interpreting the metrics | Full workflow: simulate, detect, evaluate | Multi-annotator evaluation | Parallel comparison (optional) | See also | References

Introduction | Core detection | Broom methods | Additional S3 methods | Visualisation | Custom geoms and stats | Penalty configuration | Method introspection | Per-engine wrappers | Method comparison | Evaluation | Data simulation | Class constructors | Original 0.1.0 API | Parallel execution

Proportional-symbol (bubble) maps | Equal-area tile grids | Flow maps | Labels | Maps that need optional packages

Abstract | Introduction | Core data assembly | world_data() | country_data() and attach_geometry() | Visualising: the choropleth and beyond | One-line choropleths | Proportional-symbol maps | Equal-area tile grids | Flow maps | The join engine | Diagnostics: never lose a country silently | Reference data and code translation | Analysis helpers | Performance and offline use | Conclusion | Session information

A map-ready tibble in one call | Your first choropleth | Choosing indicators | Next steps

Standardise any frame | One call to a map | Reconcile two messy tables | Check before you trust | Custom origins

An equal-area, projected choropleth | Just the canvas | Recentring and the antimeridian | Region subsetting | Simplifying for the web

Why taichi? | Reading a single symbol | The example data | A first taichi grid | Fewer cells, bigger glyphs | Which source should be yin? | Customizing the color scales | Removing the panel padding | Comparing places with facets | Theming | Acknowledgement

An equal-area, projected choropleth | The world as a globe | Just the canvas | Recentring and the antimeridian | Region subsetting | Simplifying for the web

Emit a query (no dependencies) | Render in the database | In a Quarto / R Markdown document | Why bother?

Abstract | Introduction | The ggcpt Result Class | Broom-Style Methods | Unified Detection Dispatcher | Penalty Specification | Visualisation | The autoplot() Method | The Original Plotting Functions | ggplot2 Geoms | Method Comparison | Side-by-Side and Overlay Plots | Parallel Execution | Accuracy Evaluation | Data Simulation | Flexible Simulation | Canonical Test Signals | Case Study: Comparative Evaluation on a Block Signal | Summary and Future Work | References

Why taichi? | Reading a single symbol | The example data | A first taichi grid | Fewer cells, bigger glyphs | Which source should be yin? | Customizing the color scales | Removing the panel padding | Comparing places with facets | Theming | Acknowledgement

Proportional-symbol (bubble) maps | Equal-area tile grids | Flow maps | Labels | Maps that need optional packages

Abstract | Introduction | Core data assembly | world_data() | country_data() and attach_geometry() | Visualising: the choropleth and beyond | One-line choropleths | Proportional-symbol maps | Equal-area tile grids | Flow maps | The join engine | Diagnostics: never lose a country silently | Reference data and code translation | Analysis helpers | Performance and offline use | Conclusion | Session information

A map-ready tibble in one call | Your first choropleth | Choosing indicators | Next steps

Standardise any frame | One call to a map | Reconcile two messy tables | Check before you trust | Custom origins

Overview | Example data | Detecting and summarising emoji | emoji_summary() | emoji_filter() | Extracting emoji | emoji_extract_nest() | emoji_extract_unnest() | emoji_tokens() | A note on grapheme-aware detection | Counting emoji across the corpus | emoji_frequency() | top_n_emojis() | Categorising emoji | Scoring emoji sentiment | emoji_sentiment() | Sentiment distribution | Sentiment by category | The sentiment lexicon | Bundled datasets | References