Direct Download URLs | Parquet Format (Recommended) | CSV Format | Command-Line Download | Critical Ingestion Note: NASCAR Car Numbers | Correct Ingestion in R | Correct Ingestion in Python (pandas)

Available Datasets | Quick Start | Categories | Codebook Validation Status | 🛠️ Fix Applied: CDQ (Cardiovascular Health) | ⚠️ Caution: OHXDEN (Oral Health - Dentition) | Notes

Why organize scripts? | _load.R: one file to source | _libraries.R: packages in one place | _data_dictionary.R: label your variables | _quarto.yml: how it all connects | here::here() and why relative paths break

The case for convention | init() | What each directory is for | Root-level configuration | Pre-commit hooks | What is included | Setup | Adapting or removing | Your settings follow you | References

Why Survey Weights Matter | Understanding NHANES Weights | Weight Calculation Logic | Early Cycles (1999-2002) | Example Calculation | Basic Usage | Example 1: Interview Weights | Example 2: MEC Weights | Example 3: Fasting Weights | Handling Edge Cases | Non-Sequential Cycles | Participants Without Valid Weights | Variance Estimation and Lonely PSUs | Required Variables | Workflow Recommendations | Additional Resources

Motivation | Acknowledgments | Installation | Loading Data | Example: Age Distribution Over Time | CDC Dataset Naming | Joining Multiple Datasets | Filtering by Survey Year | Finding Variables | By keyword | By variable name | In loaded data | Complete Example: Blood Pressure by Age Group | Next Steps

Overview | What Happened | How This Affects Dataset Naming | Why We Exclude It | CDC Documentation | Future Plans | What to Do in the Meantime

Bundled datasets removed | Series identifier: "xfinity" renamed to "nxs" | arrow package now required | Caching | find_*() functions removed | Summary of required changes | Data unchanged

In the Pits | Warming up the tires | Green Flag! | Which drivers are in the Top 5 for wins in the NASCAR Cup Series? | Modern driver performance: Analyzing race results | The Garage Area | Which manufacturer has the best performance by season? | Comparing team performance across manufacturers | Using the Helper Functions | Getting driver statistics | Analyzing teams and manufacturers | Practical example: Comparing multiple drivers | The Backstretch | Toolbox

Creating a Data Dictionary | Labeling gtsummary Tables | Pass the Dictionary Explicitly | Automatic Discovery | Pre-Labeled Data | Manual Overrides Always Win | Regression Tables | Label Priority | Automatic Labeling via Options | More Vignettes

The extras() Function | Customizing Output | Cleaning Missing Values | Without cleaning | With clean_table() | Automatic Labeling | Pipeline Order | Other Vignettes

Quick read | Auto-Labeling with sumExtras.auto_labels | Dictionary Priority with sumExtras.prefer_dictionary | More Vignettes

Group Headers | add_group_styling() | Without styling | With add_group_styling() | add_group_colors() | get_group_rows() | Matching gt Tables with theme_gt_compact() | gtsummary with extras() | gt with theme_gt_compact() | Complete Example | More Vignettes

use_jama_theme() | theme_gt_compact() | Default gt | With theme_gt_compact() | More Vignettes