[Bug]: Validation without column names produces a report with failed validation

[mariadrywien]

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Existing Issues

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What happened?

When using the validate_cols without supplying any column name, no warning or error is being issued. The validation report looks as follows:

Validation summary: 
 Number of successful validations: 0
 Number of failed validations: 1
 Number of validations with warnings: 0

Advanced view: 


|table_name |description                                                    |type  | total_violations|
|:----------|:--------------------------------------------------------------|:-----|----------------:|
|mtcars     |There should not be any NAs or other missing values in columns |error |                1|

Even though there are not any NA values in the mtcars dataset, the report suggests there was one failed validation.

Steps to reproduce

library(data.validator)
data("mtcars")
report_mtcars <- data_validation_report()
validate(mtcars, description = "Verifying cars dataset") %>%
  validate_cols(description = "There aren't any NAs in the dataset", not_na) %>%
  add_results(report_mtcars)

Expected behavior

I expected the code to not produce a failed validation. I expected an empty report and a warning stating that I haven't chosen any columns or a report for all the columns.

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Additional Information

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