Automatic Codebook and Tracking for 'Spark' and 'dplyr' Pipelines R package autocodebook version 0.1.0 Wraps 'dplyr' verbs (mutate, summarise, filter) to automatically capture variable metadata (type, source columns, categories, and source code), producing a codebook and eligibility tracking table with zero manual documentation. Works with both 'sparklyr' (tbl_spark) and local data frames. Adds big-data optimizations (caching, assume-unique counting, checkpointing) and a standardized report module with an eligibility flowchart, editable codebook export (HTML, DOCX, XLSX), and cross-sectional or longitudinal variable inspection. The eligibility flowchart follows the CONSORT statement (Schulz, Altman and Moher (2010) <doi:10.1136/bmj.c332>) and the reporting of observational cohort studies follows the STROBE recommendations (von Elm and others (2007) <doi:10.1371/journal.pmed.0040296>). Software Imports: dplyr (>= 1.1.0), rlang (>= 1.0.0), tibble, gt, grid Suggests: sparklyr, dbplyr, testthat (>= 3.0.0), tidyplots, ggplot2, patchwork, rmarkdown, knitr, officer, flextable, openxlsx, scales, rvg, devEMF, svglite Patricia Fortes C. de Macedo <macedopatriciafortes@gmail.com> Comprehensive R Archive Network (CRAN) Patricia Fortes C. de Macedo [aut, cre] MIT + file LICENSE (https://CRAN.R-project.org/package=autocodebook/LICENSE) 2026-06-08 application/tgz https://CRAN.R-project.org/package=autocodebook doi:10.32614/CRAN.package.autocodebook