For each column whose resolved type is "numeric", returns one
"INFO" dq_result containing min, max, mean, and
standard deviation of the parseable values. Columns inferred as non-numeric
are silently skipped.
Arguments
- df
A data frame with all columns as character vectors (as returned by
read_dataset).- config
Named list. Merged configuration as returned by
load_config.- types
Optional named character vector of pre-resolved column types; see
check_inferred_types.
Value
A list of dq_result objects (one per numeric column),
all with status "INFO". Returns an empty list if no numeric columns
are found.
Details
Non-finite values (Inf, -Inf) are excluded from the
aggregates, and the count of excluded values is appended to
observed so the anomaly is still visible in the report.
Examples
cfg_dir <- system.file("demonstrations/config", package = "dqcheckr")
cfg <- load_config("starwars_csv", config_dir = cfg_dir)
path <- system.file("demonstrations/data/starwars.csv", package = "dqcheckr")
df <- read_dataset(path, cfg)
check_numeric_stats(df, cfg)
#> [[1]]
#> [[1]]$check_id
#> [1] "QC-07"
#>
#> [[1]]$check_name
#> [1] "Numeric stats"
#>
#> [[1]]$column
#> [1] "height"
#>
#> [[1]]$status
#> [1] "INFO"
#>
#> [[1]]$observed
#> [1] "min=66, max=264, mean=174.6, sd=34.77"
#>
#> [[1]]$threshold
#> [1] NA
#>
#> [[1]]$message
#> [1] "Summary statistics for numeric column 'height'."
#>
#>
#> [[2]]
#> [[2]]$check_id
#> [1] "QC-07"
#>
#> [[2]]$check_name
#> [1] "Numeric stats"
#>
#> [[2]]$column
#> [1] "mass"
#>
#> [[2]]$status
#> [1] "INFO"
#>
#> [[2]]$observed
#> [1] "min=15, max=1358, mean=97.31, sd=169.5"
#>
#> [[2]]$threshold
#> [1] NA
#>
#> [[2]]$message
#> [1] "Summary statistics for numeric column 'mass'."
#>
#>
#> [[3]]
#> [[3]]$check_id
#> [1] "QC-07"
#>
#> [[3]]$check_name
#> [1] "Numeric stats"
#>
#> [[3]]$column
#> [1] "birth_year"
#>
#> [[3]]$status
#> [1] "INFO"
#>
#> [[3]]$observed
#> [1] "min=8, max=896, mean=87.57, sd=154.7"
#>
#> [[3]]$threshold
#> [1] NA
#>
#> [[3]]$message
#> [1] "Summary statistics for numeric column 'birth_year'."
#>
#>