A synthetic reporting triangle | Nowcasting | Is the nowcast any good? A replay backtest | How fast does the data arrive? Reporting completion | The naming grammar | Where next

Overview | Prerequisites | Step 1: Initialize a surveillance system | Step 2: Define database tables | Step 3: Implement task functions | Data selector function | Action function | Step 4: Configure the task | Step 5: Execute the task | Step 6: Monitor and debug tasks | Advanced task features | Parallel processing | Dynamic plan generation | Best practices | Error handling | Data validation | Modular design | Summary | See also

Starting from the example package | 00_env_and_namespace.R | 01_definitions.R | 02_surveillance_systems.R | 03_tables.R | 04_tasks.R | 05_deliverables.R | 10_onLoad.R | 11_onAttach.R | Task files | weather_download_and_import_rawdata.R | weather_clean_data.R | weather_export_weather_plots.R | Notes | Next steps

Installation options | CRAN installation (limited functionality) | Full installation (database-driven surveillance) | Database setup | PostgreSQL installation | Option 1: Docker (recommended) | Option 2: System installation | Database schema setup | Environment variable configuration | Setting up .Renviron | Variable descriptions | Package behavior without database configuration | Docker | Moving from CRAN to full setup | Verification and troubleshooting | Verify your setup | Common issues | Next steps

What is CS9? | When to use CS9 | Key concepts and definitions | Surveillance system architecture | Example workflow | Plan-heavy or analysis-heavy tasks? | Other vignettes | Example | Surveillance system setup | Database table definition | Task configuration | for_each_plan | plnr::expand_list | for_each_analysis | universal_argset | upsert_at_end_of_each_plan | insert_at_end_of_each_plan | action_fn_name | data_selector_fn_name | schema | data_selector_fn | action_fn | Run the task | Common task patterns | Importing data | Analysis | Exporting multiple sets of results | Exporting combined results | Deployment | Getting started | Next steps

csfmt_rts_data_v2 | Style | Ordering of variables | Time | Approved events | Location | Ages | Sex | Unified columns | Smart assignment | Context-specific columns | Examples | In action | Expand time to | Time series | Summary | Identifying the data structure of one column | Reference (Location)

csfmt_rts_data_v2 | Smart assignment | Summary | Identifying the data structure of one column

Overview | Themes | Color palettes | Number formatting | Norwegian number format | Date formatting | Norwegian date format | Journal formatting | Number format comparison | Date format comparison | Log scale transformations | Utility functions | Pretty breaks | Every nth label | Further reading

Overview | DBConnection_v9 | DBTable_v9

Single location | Covid-19 hospitalisation data | Data in cstidy format | Weekly observations | Visualising trend status | Multiple locations | Mapping trend status

Splitting | Unnesting data frames within a list | Describing lists | Applying a function via hash table

Location | Ages | Sex

National trend | Reference tables

Which year and week is this date? | Get isoyear and isoweek from an isoyearweek string

Date to isoyear | Isoyearweek string to isoyear and isoweek | Season week and isoweek

Mapping between isoweek and season week | Conversion functions

Colored maps | Automatic coloring by location_code | Customized coloring with external information | Labeled maps | Enrich plot with additional data | Add county name and population to Norway map | Add location name for ward and population for Oslo map

sf for interactive maps

Setup | A first map | Where to next

Naming scheme | Scope | Geogranularity | Type | Border | R class | Norway: default | Norway: split | Norway: insert oslo | Oslo ward: default

set_csfmt_rts_data_v1