Title: Data Validation and Organization of Metadata for Local and
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.
person("Mauricio", "Vargas", , "mvargas@dcc.uchile.cl", c("aut"),
magrittr, scales (>= 1.1.1), testthat (>= 2.3.2), tibble (>=
Suggests: arrow, covr, crayon, data.table, duckdb, ggforce, ggplot2,
jsonlite, log4r, lubridate, RSQLite, RMySQL, RPostgres, readr,

person("Mauricio", "Vargas", , "mavargas11@uc.cl", c("aut"),
Suggests: arrow, bigrquery, covr, crayon, data.table, duckdb, ggforce,
ggplot2, jsonlite, log4r, lubridate, RSQLite, RMySQL,
RPostgres, readr, rmarkdown, sparklyr, dittodb, odbc

Description: Validate data in data frames,
'tibble' objects, in 'CSV' and 'TSV' files,

Imports: commonmark (>= 1.7), DBI (>= 1.0.0), dplyr (>= 0.8.3), glue

Description: Validate data in data frames, 'tibble' objects, and in database
tables (e.g., 'PostgreSQL' and 'MySQL'). Validation pipelines can be made
using easily-readable, consecutive validation steps. Upon execution of the
Imports: dplyr (>= 0.8.3), magrittr, rlang (>= 0.4.2), tidyselect (>=

magrittr, rlang (>= 0.4.5), scales (>= 1.1.0), tibble (>=
Suggests: covr, knitr, lubridate, RSQLite, testthat (>= 2.1.0), readr,

magrittr, rlang (>= 0.4.6), scales (>= 1.1.1), testthat (>=
Suggests: covr, lubridate, RSQLite, RMariaDB, RPostgres, readr,

'DataFrames', and database tables (e.g., 'PostgreSQL' and 'MySQL').
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.
Suggests: covr, duckdb, lubridate, RSQLite, RMariaDB, RMySQL,