README.md

---
pretty_name: "GCON 1010 — Data Preprocessing"
viewer: false
---

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# GCON 1010 — Data Preprocessing

### Research Data Preprocessing Workflow and Processing Records

**Preprocessing Pipeline · Data Quality Review · Processing Traceability**

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---

## 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

~~~text
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:

~~~text
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:

~~~text
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.

---

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### GCON 1010 Research Workflow

**Data Preprocessing · Processing Records · Reproducibility**

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