Overview | Installation | Find and inspect a table | Build a structured request | Split and collect batches | Use an API path or full URL | Preserve SIDRA's special values | Network behavior

Overview | Discover datasets | Vital statistics | Health services and population | Surveillance, screening and financing | Provenance and reproducibility

Overview | Territorial reference | Add geography to observations | Make missing combinations explicit | Join population denominators | Rates, proportions and case fatality | Epidemiological calendar and moving averages | Direct age standardization

A R Interface to the DATASUS's data | Installation | Functions | Examples | SIM and SINASC | SIH/SUS, SIA/SUS and CNES | Population, hospital morbidity and SINAN | PNI, SISCAN, SISVAN and financing | OpenDataSUS microdata | Raw DBC/DBF microdata | Territorial reference | Epidemiological analysis | Query conventions

Overview | Traditional DBC/DBF microdata | Inspect schemas before reading | Selected OpenDataSUS columns | Process CSV files in bounded memory | Cache and provenance | Practical strategy

Overview | Search before downloading | Start with selected columns | Standardize an existing data frame | Detect schema drift | Resources split into multiple physical files | Provenance

Escolher o nível territorial | Recortar a área de interesse | Juntar indicadores e criar mapas temáticos | Produzir um indicador a partir da hierarquia | Usar cartogramas | Personalizar e exportar | Malhas municipais históricas

Inventory | Select an edition | Compare a state through time | Hierarchy and historical codes

Local spatial objects | Filters use intersection | Joins and plots | Territorial hierarchy