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pointblank: Data Validation and Organization of Metadata for Local and Remote Tables
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.
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Package details |
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| Author | Richard Iannone [aut, cre] (<https://orcid.org/0000-0003-3925-190X>), Mauricio Vargas [aut] (<https://orcid.org/0000-0003-1017-7574>) |
| Maintainer | Richard Iannone <riannone@me.com> |
| License | MIT + file LICENSE |
| Version | 0.11.4 |
| URL | https://rich-iannone.github.io/pointblank/ https://github.com/rich-iannone/pointblank |
| Package repository | View on CRAN |
| Installation |
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