Dataset Announcement – Retail Demand Benchmark

Today we are releasing the Retail Demand Benchmark dataset to help analytics teams evaluate forecasting models under realistic constraints. The DataLog theme lets you pair documentation, schema tables, and governance checklists in one place.

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Online at https://diogoribeiro7.github.io/analytics-blog-jekyll/2024/04/11/dataset-announcement-schema/

Topics

Today we are releasing the Retail Demand Benchmark dataset to help analytics teams evaluate forecasting models under realistic constraints. The DataLog theme lets you pair documentation, schema tables, and governance checklists in one place.

Download options

  • retail-demand-benchmark.csv via the dataset page
  • Parquet export via _datasets/retail-demand-benchmark.md
  • Companion notebook: _notebooks/batch-anomaly-detection.ipynb

Schema

Column Type Description
date Date Week-ending timestamp
store_id String Unique store identifier
category String Product category slug
units_sold Integer Units sold in the week
price Decimal Average selling price
promo_flag Boolean Promotion indicator
stockout_minutes Integer Minutes unavailable due to stockouts

Usage guidelines

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data_quality:
  freshness: P1D
  source_system: retail_warehouse
  owners:
    - name: Diogo Ribeiro
      email: diogo.debastos.ribeiro@gmail.com
    - name: Analytics Platform Team
      email: platform@example.com
  sla:
    anomalies: notify-analytics-oncall@example.com
    completeness: >= 0.98

Governance tip: Store ownership metadata in _data/catalog.yml so the theme can surface it across dataset and notebook pages.

Next steps

  1. Publish baseline forecasts and accuracy benchmarks in the notebooks collection.
  2. Embed interactive Plotly charts showing store-level variability.
  3. Solicit community contributions via GitHub Discussions and credit accepted pull requests in the showcase gallery.

With schema documentation and ownership metadata in place, teams can trust the dataset before wiring it into production pipelines.

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    © 2024 Diogo Ribeiro. Text and figures under CC BY 4.0.

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    Diogo Ribeiro (2024). Dataset Announcement – Retail Demand Benchmark. DataLog | Data Science & Research Theme. https://diogoribeiro7.github.io/analytics-blog-jekyll/2024/04/11/dataset-announcement-schema/.

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    • Open Data Dataset and code repository published with permissive license. Public repository, DOI issued, README with reproduction steps.
    • Reproducible Workflow Containerized environment and automated tests provided. Continuous integration pipeline with reproducibility checks.
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