_            _    _        _         _
      /\ \         /\ \ /\ \     /\_\      / /\
      \_\ \       /  \ \\ \ \   / / /     / /  \
      /\__ \     / /\ \ \\ \ \_/ / /     / / /\ \__
     / /_ \ \   / / /\ \ \\ \___/ /     / / /\ \___\
    / / /\ \ \ / / /  \ \_\\ \ \_/      \ \ \ \/___/
   / / /  \/_// / /   / / / \ \ \        \ \ \
  / / /      / / /   / / /   \ \ \   _    \ \ \
 / / /      / / /___/ / /     \ \ \ /_/\__/ / /
/_/ /      / / /____\/ /       \ \_\\ \/___/ /
\_\/       \/_________/         \/_/ \_____\/
r-pointblank 0.12.3
Propagated dependencies: r-yaml@2.3.10 r-tidyselect@1.2.1 r-tidyr@1.3.1 r-tibble@3.3.0 r-testthat@3.3.0 r-scales@1.4.0 r-rlang@1.1.6 r-magrittr@2.0.4 r-knitr@1.50 r-htmltools@0.5.8.1 r-gt@1.3.0 r-glue@1.8.0 r-fs@1.6.6 r-dplyr@1.1.4 r-digest@0.6.39 r-dbplyr@2.5.1 r-dbi@1.2.3 r-cli@3.6.5 r-blastula@0.3.6 r-base64enc@0.1-3
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://rstudio.github.io/pointblank/
Licenses: Expat
Build system: r
Synopsis: Data Validation and Organization of Metadata for Local and Remote Tables
Description:

Validate data in data frames, tibble objects, Spark DataFrames', and database tables. Validation pipelines can be made using easily-readable, consecutive validation steps. Upon execution of the validation plan, several reporting options are available. User-defined thresholds for failure rates allow for the determination of appropriate reporting actions. Many other workflows are available including an information management workflow, where the aim is to record, collect, and generate useful information on data tables.

Total results: 1