Generates an HTML report that scours the input table data. Before calling up an agent to validate the data, it's a good idea to understand the data with some level of precision. Make this the initial step of a well-balanced data quality reporting workflow. The reporting output contains several sections to make everything more digestible, and these are:
Table dimensions, duplicate row count, column types, and reproducibility information
A summary for each table variable and further statistics and summaries depending on the variable type
A matrix plot that shows interactions between variables
A set of correlation matrix plots for numerical variables
A summary figure that shows the degree of missingness across variables
A table that provides the head and tail rows of the dataset
The output HTML report is viewable in the RStudio Viewer and can also be
integrated in R Markdown HTML reports. If you need the output HTML as a
string, it's possible to get that by using as.character() (e.g.,
scan_data(tbl = mtcars) %>% as.character()). The resulting HTML string is a
complete HTML document where Bootstrap and jQuery are embedded within.
scan_data(
tbl,
sections = c("overview", "variables", "interactions", "correlations", "missing",
"sample"),
navbar = TRUE,
reporting_lang = NULL
)The input table. This can be a data frame, tibble, a tbl_dbi
object, or a tbl_spark object.
The sections to include in the finalized Table Scan report.
A character vector with section names is required here. The sections in
their default order are: "overview", "variables", "interactions",
"correlations", "missing", and "sample". This vector can be comprised
of less elements and the order can be changed to suit the desired layout of
the report. For tbl_dbi and tbl_spark objects, the "interactions" and
"correlations" sections are excluded.
Should there be a navigation bar anchored to the top of the
report page? By default this is TRUE.
The language to use for label text in the report. By
default, NULL will create English ("en") text. Other options include
French ("fr"), German ("de"), Italian ("it"), and Spanish ("es").
1-1
Other Planning and Prep:
action_levels(),
col_schema(),
create_agent(),
validate_rmd()
# NOT RUN {
# Get an HTML report that describes all of
# the data in the `dplyr::storms` dataset
# scan_data(tbl = dplyr::storms)
# }
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