PREMIUM R MARKDOWN WORKFLOW · VERSION 1.0.0

Audit every change.
Keep the source intact.

Turn a raw rectangular dataset into a documented analysis-ready file. Review missingness, duplicate IDs, numeric parsing, valid ranges, possible outliers, categorical recoding, and dates while preserving a row-level trail.

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One-time purchase · Individual-use license · Secure digital delivery

Preserve the sourceExample and real-data paths are separated.

Record decisionsIssue tables and row flags keep changes traceable.

Adapt safelyRules are explicit and tied to the study codebook.

WHAT IS INSIDE

From import to documented export.

Run the intentionally messy synthetic example first, then adapt the declared rules to a de-identified working copy of your own data.

Import without losing the source

Read all fields conservatively, standardize names, apply declared missing codes, and retain source-row identifiers.

Audit structure and missingness

Review variable classes, missing cells by variable and record, and unique or missing identifiers.

Flag data-quality issues

Export duplicate, range, numeric-parsing, date, category, and IQR-based outlier reviews.

Apply explicit decisions

Choose whether range violations or duplicate IDs are reviewed or transformed and preserve the decision log.

Export analysis-ready files

Create the cleaned dataset, record-level flags, audit summary, settings, and package-version record.

DESIGNED FOR DISSERTATION DATA

Make cleaning decisions visible.

This workflow is useful when:

You have one-row-per-record CSV data.
You need an auditable cleaning trail for a committee or collaborator.
Your codebook defines missing codes, ranges, and category mappings.
You want issue files before deciding how to handle questionable values.

Database linkage, complex reshaping, multiple imputation, text processing, and analysis-model decisions require additional workflows.

OUTPUT-ONLY PUBLIC PREVIEW

Review the complete worked example.

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Data Cleaning and Audit · Dissertation Stats Helper

The preview shows outputs and guidance. The paid version includes all editable R Markdown source, reusable audit functions, and the synthetic-data generator. Source code and session information are omitted from the public preview.

YOUR DIGITAL DOWNLOAD

Run the example.
Set your rules.

The version 1.0.0 ZIP is prepared for Lemon Squeezy delivery.

Complete editable R Markdown source
Reusable audit and synthetic-data functions
Synthetic raw CSV and example data dictionary
Worked HTML report and analysis-ready output
Eight issue/audit exports plus settings and version records
Setup, generation, license, and version documentation

Keep an untouched original and work only with de-identified data. Cleaning rules must follow the study codebook and design.

VERSION 1.0.0

Complete workflow.
$59 one time.

Pay securely and receive the version 1.0.0 ZIP with the editable analysis, synthetic data, documentation, and rendered report.

Purchase for $59 Review purchase terms