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GCON 1010 — Data Preprocessing

Research Data Preprocessing Workflow and Processing Records

Preprocessing Pipeline · Data Quality Review · Processing Traceability


Overview

This repository contains selected preprocessing materials from the GCON 1010 research workflow.

The public release focuses specifically on the data preprocessing process and its associated processing records. It includes the main Jupyter Notebook used for preprocessing, selected preprocessing summary artifacts, and execution records generated during data recovery and validation.

Only a selected subset of the original research workspace is included in this repository.


Repository Scope

The repository contains three selected components:

Component Description
Main preprocessing notebook Primary Jupyter Notebook containing the preprocessing workflow
Preprocessing records Selected summaries, schema audits, coverage records, and timeline visualizations
Recovery logs Processing records generated during data recovery and validation

The complete original research workspace is not included.


Repository Structure

1010/
├── code/
│   ├── main.ipynb
│   │
│   └── out/
│       └── recover_20251018_191254/
│           └── logs/
│               ├── 095323/
│               ├── 095707/
│               ├── 114309/
│               └── 230933/
│
└── data-1/
    └── bling_record/
        ├── bling_senddate.csv
        ├── bling_timeline.png
        ├── bling_timeline_2021.png
        ├── bling_timeline_2022.png
        ├── bling_timeline_2024.png
        ├── schema_audit.csv
        ├── summary.json
        └── target12_coverage.csv

Jupyter-generated .ipynb_checkpoints files are intentionally excluded from the public release.


Main Preprocessing Notebook

1010/code/main.ipynb

This notebook contains the primary preprocessing workflow retained for this public repository.

It provides a reproducible record of the preprocessing procedures implemented during the GCON 1010 research workflow.

The notebook is preserved in its original Jupyter Notebook format so that the processing logic and recorded outputs can be reviewed together.


Preprocessing Records

1010/data-1/bling_record/

This directory contains selected artifacts generated during preprocessing and data-quality review.

Included materials consist of:

  • preprocessing timeline visualizations
  • processing date records
  • schema audit results
  • coverage summaries
  • preprocessing summary metadata

These files provide supporting documentation for the preprocessing workflow and make the intermediate review process more transparent.


Recovery and Validation Logs

1010/code/out/recover_20251018_191254/logs/

This directory contains selected processing logs generated during a data recovery and validation workflow.

The records are organized by processing group and include artifacts such as:

columns.csv
dtypes.csv
sample_head.csv
stats.csv

These files document structural characteristics observed during the processing workflow, including column definitions, data types, sample records, and summary statistics.


Preprocessing Traceability

The repository is structured to retain multiple levels of preprocessing evidence:

Preprocessing Code
        │
        ▼
Processing Records
        │
        ▼
Schema / Coverage Review
        │
        ▼
Recovery and Validation Logs

This organization allows the preprocessing workflow to be reviewed together with selected records produced during execution.


Reproducibility

The primary preprocessing implementation is provided as a Jupyter Notebook.

Users reviewing the workflow should note that this repository contains only selected public artifacts from a larger research workspace.

Therefore, execution of the notebook may depend on source datasets, environment-specific paths, packages, or other research materials that are not included in this public repository.

The repository should primarily be interpreted as a documented research preprocessing workflow rather than as a fully standalone data distribution.


Data Availability

This repository does not contain the complete original research dataset.

Only selected preprocessing records and workflow artifacts are provided.

The omission of the full source dataset is intentional and does not indicate that the original research workspace consisted only of the files included here.


Privacy and Public Release

Before publication, the selected repository scope was restricted to the designated preprocessing notebook and selected processing records.

The public release excludes unrelated directories from the original GCON 1010 workspace.

Jupyter checkpoint files and other files outside the defined public release scope are also excluded.


Intended Use

This repository is intended for:

  • documentation of the research preprocessing workflow
  • methodological review
  • preprocessing traceability
  • research portfolio presentation
  • reproducibility reference
  • inspection of selected processing artifacts

It is not intended to represent the complete underlying research dataset.


Repository Information

Item Details
Project GCON 1010
Repository gcon-1010-preprocessing
Release type Selected public research artifacts
Primary format Jupyter Notebook
Supporting formats CSV, JSON, PNG
Repository visibility Public

Usage Notice

The materials in this repository are provided for research, documentation, and portfolio purposes.

Users should independently evaluate the preprocessing logic and its suitability before adapting any part of the workflow to another dataset or research setting.

The presence of processing records in this repository should not be interpreted as publication of the complete original dataset.


GCON 1010 Research Workflow

Data Preprocessing · Processing Records · Reproducibility

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