Overview | Data vintage | Data producers | Demand datasets | line_entries_monthly | Day-type metrics | line_transported_monthly | station_transported_monthly | station_entries_daily | Service dataset | line_service_monthly | Spatial datasets | rail_lines | rail_stations | Reference datasets | calendar_spo | metro_colors | Citation

metrosp | Newer data | The datasets | Entrance and Transported | Entrance | Transported | Station Transported | Station Daily | Train Service

Open science | Installation | Using the package | Query large datasets | Cite a dataset | Explore the study behind a dataset | Next steps

Installation | Basic Usage: theme_insper() | Customizing the Theme | Fine-Tuning with theme_sub_*() | Working with Colors | Using Colors in ggplot2 | Discrete Scales | Continuous Scales | Convenience Plot Functions | Time Series | Saving Plots | Available Functions | Learn More

Introduction | Accessibility | Typography | Brand guidelines | insperplot implementation | Colors | Where each palette comes from | Building a categorical set by hand | Insper Cidades | The sequential ramps are derived | Text contrast | Diverging data

EKIO Theme | Plot surfaces | Color Palettes | Palette types | Scale Functions | Discrete scales | Continuous scales | Recipe Functions | Histogram | Bar plot | Scatter plot | Area plot | Smart aesthetic detection | Brand Scales

What is trendseries? | Why trendseries? | A simple example | Indexing series | Where to go next | Acknowledgements | Getting Help

Introduction | Core interface | The source argument | Example: housing credit cycle | Example: real estate credit portfolio | Reference: all datasets

Overview | The three datasets | Reading data | Raw, typed and clean data | Standardizing category labels | Joining to other Brazilian data | Inspecting the structure without downloading | Coverage and caveats | 2015--2018 covers fatal crashes only | A third of sinistros rows are notifications | Smaller caveats | A short analysis | Updating the data | The official data dictionary | Citing the data

Strategy | Finance | Editorial | Scales and palettes

Introduction | Installation | Optional font setup | Quick start | Color palettes | Browsing palettes | Accessing palette colors | Using ggplot2 scales | Discrete scales | Continuous scales | Plot helper functions | Line chart | Bar chart | Scatter plot | Area chart | Histogram | Adding layers | Base R | Getting help

What worked well and caveats | Goodbye to Fable 5

The theme | Color scales | Rounded bars | Palettes | Fonts

Agentic Coding benchmark | The data | Colors | Left panel | Right panel | Combining the panels | Prediction