dcc_import

Reads a source through its registered format adapter and applies an explicit
import specification. Source names, canonical names, types, missing codes, and
roles are declared rather than guessed. The source file is never modified.

Rule-driven, auditable cleaning of survey and assessment
response data, implementing the WeianData Detect-Execute-Report
workflow. Provides a multi-format, multi-encoding input layer
(CSV, 'Excel', 'SPSS', 'Stata', 'SAS', Parquet, JSON), the
dcc_data container with a provenance chain, level-0 structural
diagnostics, five built-in response-quality detectors (missing
items, straight-lining, response time, trap items, score
anomalies), a declarative YAML rule engine, an execution engine
with a cell-level audit log, answer-key scoring, multi-form to
master item bank mapping, a normalized report model rendered as bilingual
staff workbooks and HTML, complete statistical bundles, and versioned
machine JSON/JSONL with findings-to-changes reconciliation,
cell-level lineage tracing, and
manifest-based one-command reproduction. Includes a protected bilingual
strict project workbook and matching JSON contract with cell-addressed
validation, non-mutating preflight, preview-first execution, and localized
staff guidance. All formally supported input backends install with the
package; PDF is optional rather than a fixed report output.

Kunxiang Ma

Data Cleaning Center for Survey and Assessment Data

WEIAN DATA TECH (Beijing) Co., Ltd. 

dcc_import function

<dl><dt>path</dt>
<dd>Path to the source file.</dd>
<dt>spec</dt>
<dd>A <code>dcc_import_spec</code> created internally from a strict DCC
plan.</dd></dl>

Arguments

Strict canonical import — dcc_import

<dl>

<dt>path</dt>
<dd>Path to the source file.</dd>


<dt>spec</dt>
<dd>A <code>dcc_import_spec</code> created internally from a strict DCC
plan.</dd>

</dl>

dcc_import: Strict canonical import

Description

Usage

Value

Arguments