Merge branch 'main' into fix-avoid-collect-counting-slowdown

Author: rich-iannone

user_guide/00-getting-started/01-quickstart.qmd

@@ -185,41 +185,41 @@ The *Getting Started* section introduces you to Pointblank:
 The *Validation Plan* section covers everything you need to know about creating robust
 validation plans:
 
-- [Overview](validation-overview.qmd): Survey of validation methods and their shared parameters
-- [Validation Methods](validation-methods.qmd): A closer look at the more common validation methods
-- [Column Selection Patterns](column-selection-patterns.qmd): Techniques for targeting specific columns
-- [Preprocessing](preprocessing.qmd): Transform data before validation
-- [Segmentation](segmentation.qmd): Apply validations to specific segments of your data
-- [Thresholds](thresholds.qmd): Set quality standards and trigger severity levels
-- [Actions](actions.qmd): Respond to threshold exceedances with notifications or custom functions
-- [Briefs](briefs.qmd): Add context to validation steps
+- [Overview](../validation-plan/validation-overview.qmd): Survey of validation methods and their shared parameters
+- [Validation Methods](../validation-plan/validation-methods.qmd): A closer look at the more common validation methods
+- [Column Selection Patterns](../validation-plan/column-selection-patterns.qmd): Techniques for targeting specific columns
+- [Preprocessing](../validation-plan/preprocessing.qmd): Transform data before validation
+- [Segmentation](../validation-plan/segmentation.qmd): Apply validations to specific segments of your data
+- [Thresholds](../validation-plan/thresholds.qmd): Set quality standards and trigger severity levels
+- [Actions](../validation-plan/actions.qmd): Respond to threshold exceedances with notifications or custom functions
+- [Briefs](../validation-plan/briefs.qmd): Add context to validation steps
 
 ### Advanced Validation
 
 The *Advanced Validation* section explores more specialized validation techniques:
 
-- [Expression-Based Validation](expressions.qmd): Use column expressions for advanced validation
-- [Schema Validation](schema-validation.qmd): Enforce table structure and column types
-- [Assertions](assertions.qmd): Raise exceptions to enforce data quality requirements
-- [Draft Validation](draft-validation.qmd): Create validation plans from existing data
+- [Expression-Based Validation](../advanced-validation/expressions.qmd): Use column expressions for advanced validation
+- [Schema Validation](../advanced-validation/schema-validation.qmd): Enforce table structure and column types
+- [Assertions](../advanced-validation/assertions.qmd): Raise exceptions to enforce data quality requirements
+- [Draft Validation](../advanced-validation/draft-validation.qmd): Create validation plans from existing data
 
 ### Post Interrogation
 
 After validating your data, the *Post Interrogation* section helps you analyze and respond to
 results:
 
-- [Validation Reports](validation-reports.qmd): Understand and customize the validation report table
-- [Step Reports](step-reports.qmd): View detailed results for individual validation steps
-- [Data Extracts](extracts.qmd): Extract and analyze failing data
-- [Sundering Validated Data](sundering.qmd): Split data based on validation results
+- [Validation Reports](../post-interrogation/validation-reports.qmd): Understand and customize the validation report table
+- [Step Reports](../post-interrogation/step-reports.qmd): View detailed results for individual validation steps
+- [Data Extracts](../post-interrogation/extracts.qmd): Extract and analyze failing data
+- [Sundering Validated Data](../post-interrogation/sundering.qmd): Split data based on validation results
 
 ### Data Inspection
 
 The *Data Inspection* section provides tools to explore and understand your data:
 
-- [Previewing Data](preview.qmd): View samples of your data
-- [Column Summaries](col-summary-tbl.qmd): Get statistical summaries of your data
-- [Missing Values Reporting](missing-vals-tbl.qmd): Identify and visualize missing data
+- [Previewing Data](../data-inspection/preview.qmd): View samples of your data
+- [Column Summaries](../data-inspection/col-summary-tbl.qmd): Get statistical summaries of your data
+- [Missing Values Reporting](../data-inspection/missing-vals-tbl.qmd): Identify and visualize missing data
 
 By following this guide, you'll gain a comprehensive understanding of how to validate, monitor, and
 maintain high-quality data with Pointblank.

user_guide/00-getting-started/02-installation.qmd

@@ -165,7 +165,7 @@ pip install pointblank[generate]
 ```
 
 This installs the necessary dependencies for working with LLM providers to help generate validation
-plans. See the [Draft Validation](draft-validation.qmd) article for how to create validation plans
+plans. See the [Draft Validation](../advanced-validation/draft-validation.qmd) article for how to create validation plans
 from existing data.
 
 ### Development Version
@@ -244,7 +244,7 @@ The CLI is useful for:
 
 ::: {.callout-tip}
 ## See the CLI in Action
-Watch our [interactive CLI demonstrations](../demos/cli-interactive/index.qmd) to see these commands executing in real-time with actual output formatting.
+Watch our [interactive CLI demonstrations](../../examples/05-advanced-topics/cli-interactive.qmd) to see these commands executing in real-time with actual output formatting.
 :::
 
-Learn more about the CLI capabilities in the [Command Line Interface](cli.qmd) guide.
+Learn more about the CLI capabilities in the [Command Line Interface](../the-pointblank-cli/index.qmd) guide.

user_guide/index.qmd

@@ -62,11 +62,11 @@ validation.get_tabular_report(title="Game Revenue Validation Report")
 That's the kind of report you get from Pointblank: clear, interactive, and designed for everyone on
 your team. And if you need help getting started or want to work faster, Pointblank has built-in AI
 support through the [`assistant()`](`assistant`) function to guide you along the way.
-You can also use [`DraftValidation`](user-guide/draft-validation.qmd) to quickly generate a
+You can also use [`DraftValidation`](advanced-validation/draft-validation.qmd) to quickly generate a
 validation plan from your existing data (great for getting started fast).
 
-Ready to validate? Start with our [Installation](user-guide/installation.qmd) guide or jump straight
-to the [User Guide](user-guide/index.qmd).
+Ready to validate? Start with our [Installation](getting-started/installation.qmd) guide or jump straight
+to the [Quickstart](getting-started/quickstart.qmd).
 
 By the way, Pointblank is made with 💙 by [Posit](https://posit.co/).
 
@@ -78,7 +78,7 @@ and communicate results to both technical and non-technical stakeholders.
 
 With Pointblank you can:
 
-- **Validate data** through a fluent, chainable API with [25+ validation methods](reference/index.qmd#validation-steps)
+- **Validate data** through a fluent, chainable API with [25+ validation methods](../reference/index.qmd#validation-steps)
 - **Set thresholds** to define acceptable levels of data quality (warning, error, critical)
 - **Take actions** when thresholds are exceeded (notifications, logging, custom functions)
 - **Generate reports** that make data quality issues immediately understandable
@@ -169,7 +169,7 @@ pip install "pointblank[duckdb]"   # DuckDB support
 pip install "pointblank[postgres]" # PostgreSQL support
 ```
 
-See the [Installation guide](user-guide/installation.qmd) for more details.
+See the [Installation guide](getting-started/installation.qmd) for more details.
 
 ## Join the Community