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A Lightweight, Flexible, and Fast Data Validation Package that Can Handle All Sizes of Data

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Eg for nycflights13: all destinations need to be in airports dataset

No influence on the logic, just feedback for humans

This is a first draft to implement #5 `describe(data)`. At the moment the tests fail as there is some issues with the ordering of the most frequent values (on tie),...

similar to [skimr](https://cran.r-project.org/web/packages/skimr/vignettes/skimr.html), [summarytools::dfSummary()](https://cran.r-project.org/web/packages/summarytools/vignettes/introduction.html#data-frame-summaries-dfsummary), [gtExtras::gt_plt_summary()](https://jthomasmock.github.io/gtExtras/reference/gt_plt_summary.html)

Allow something like `rule(sum(mpg)

So that the system can tell which rows are failing and not only the data...

So the data does not need to be loaded into R first