GUI Filter Layer as a S3 Method | input | feedback | server | update | post_stats | multi_input

shinyCohortBuilder vs. cohortBuilder | Cohort to Filtering Panel | Filter vs Filter Controller | Automatic filters configuration | cohortBuilder to GUI features | Multiple-steps filtering | Reproducible code | Saving and restoring Cohort state | Display attrition plot | Extra features | Run button | Bookmarking | Visibility of data statistics | Feedback plots

cb_verbose | scb_verbose | scb_verbose_call_stack | scb_render_all | scb_labels | scb_icons | scb_chart_palette | scb_minified

Filter architecture | Built-in filter example | Creating a custom filter: logical filter | Step 1: Define the S7 filter class | Step 2: Register the filter type | Step 3: Implement methods for tblist source | filter_data -- filtering logic | get_stats -- data statistics | plot_data -- visualization | get_data -- filter-related data | get_defaults -- default parameter values | filter_to_expr -- reproducible code | Using the filter | Extra parameters | Implementing filters in a package

cohortBuilder vs. dplyr | Data: librarian | Source object | Cohort object | Configuring and running filters | Multi-stage filtering | Exploring the Cohort object methods | Learning more about the source data | Sharing code and reproducibility

Managing filters | Managing steps | Managing source | Statistics and domain propagation | compute_stats | propagate_domains

Describing a source | Generating filters automatically | Inspecting a source with shape() | Connecting a cohort to an LLM

Classic approach | Binding Keys

Filtering steps in Source | Filtering steps in Cohort

Local Storage | SQLite Storage | Incremental pulling | Remove Storage | Postgres Storage

Public and private hosts | API versions | Scanning scope | Authorize your access with tokens

Demo App Specs | Processing Git repositories with LLM | Semantic search queries | Shiny chatbot with RAG

Consistent data | Inconsistent data