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README.md

@@ -1,3 +1,162 @@
 ---
 license: cc0-1.0
+language:
+- en
+task_categories:
+- tabular-regression
+tags:
+- retail
+- prices
+- time-series
+- raw-data
+- food
+pretty_name: Ground Beef Prices Raw Dataset (2026)
+size_categories:
+- 10K<n<100K
+configs:
+- config_name: default
+  data_files:
+  - split: train
+    path: costinflation-ground-beef-retail-prices-raw-2026-07-13-to-2026-08-10.csv
+dataset_info:
+  features:
+  - name: series_id
+    dtype: string
+  - name: series_title
+    dtype: string
+  - name: canonical_url
+    dtype: string
+  - name: geography_type
+    dtype: string
+  - name: geography_id
+    dtype: string
+  - name: geography_label
+    dtype: string
+  - name: observed_date
+    dtype: string
+  - name: product_name
+    dtype: string
+  - name: quantity_value
+    dtype: float64
+  - name: quantity_unit
+    dtype: string
+  - name: quantity_name
+    dtype: string
+  - name: price_amount
+    dtype: float64
+  - name: currency_code
+    dtype: string
+  - name: normalized_price_amount
+    dtype: float64
+  - name: normalized_quantity_value
+    dtype: float64
+  - name: normalized_quantity_unit
+    dtype: string
+  splits:
+  - name: train
+    num_examples: 18928
 ---
+
+> 18,928 raw U.S. ground beef price observations across 12 ZIP markets and 29 days.
+
+# Ground Beef Prices Raw Dataset (2026)
+
+![CostInflation cover for raw ground beef and beef patties: a centered GB monogram over a source-neutral retail-price data backdrop.](dataset-cover-image.png)
+
+Analyze **18,928 unaggregated product-level listed retail prices** for raw ground beef and beef patties across 12 U.S. ZIP markets from July 13 through August 10, 2026. The single analysis-ready CSV preserves titles, dates, geography, package quantities, listed prices, and a source-neutral comparable-price field.
+
+> **What “raw” means here:** unaggregated product-level observations after scope and safety filtering. The file includes derived normalization fields; it is not untouched acquisition data.
+
+## Dataset at a glance
+
+| Field | Coverage |
+|---|---:|
+| Rows | 18,928 |
+| Columns | 16 |
+| Observation window | July 13–August 10, 2026 |
+| Dates / ZIP markets | 29 / 12 |
+| Market-days | 348 of 348 |
+| Distinct product titles | 100 |
+| Comparable-price rows | 16,412 (86.7%) |
+| Rows with unresolved comparison | 2,516 (13.3%) |
+| Comparison target | 1 pound |
+| Format / currency | CSV / USD |
+| Expected updates | None; fixed research snapshot |
+
+## A result worth investigating
+
+**The P90 comparable price was 3.0× the P10.** Across compatible rows, the 1 pound-equivalent price ranged from a P10 of $7.33 to a P90 of $21.88, a 3.0× spread. This is a distribution description, not a matched-product quality or value claim.
+
+## What one row represents
+
+One row is one quality-filtered product-title, ZIP-market, date, package-quantity, and listed-price observation. It is not a sale, order, demand, inventory, market-share, or consumer record. Distinct offers may share a title, ZIP, and date; exact duplicate public rows are removed.
+
+## Comparable-price method
+
+The fixed comparison target is **1 pound**. Compatible mass units normalize to one pound. The comparison does not adjust for fat percentage, seasoning, form, or product quality. Original package fields remain available for audit.
+
+## Columns
+
+| Column | Type | Meaning |
+|---|---|---|
+| `series_id` | string | Stable source-neutral dataset series key |
+| `series_title` | string | Human-readable series title |
+| `canonical_url` | string | Related CostInflation category page |
+| `geography_type` | string | Geography level; always postal_code |
+| `geography_id` | string | Five-digit U.S. ZIP code; load as text |
+| `geography_label` | string | Human-readable ZIP-market label |
+| `observed_date` | date | Observation date in YYYY-MM-DD |
+| `product_name` | string | Full observed title; not a stable product ID |
+| `quantity_value` | number | Resolved package quantity; 0 if unresolved |
+| `quantity_unit` | string | Resolved package unit or unknown |
+| `quantity_name` | string | Human-readable package quantity |
+| `price_amount` | number | Listed package or unit price |
+| `currency_code` | string | Currency; always USD |
+| `normalized_price_amount` | nullable number | Listed price scaled to the dataset comparison target |
+| `normalized_quantity_value` | number | Numeric comparison target |
+| `normalized_quantity_unit` | string | Unit for the comparison target |
+
+## Project ideas
+
+- Compare one-pound-equivalent ground-beef prices
+- Track matched product titles through time
+- Compare selected ZIP markets
+- Build a reproducible retail-price dashboard
+- Run reproducible EDA and missing-value analysis
+
+## Quick start with Pandas
+
+```python
+import pandas as pd
+
+df = pd.read_csv(
+    "costinflation-ground-beef-retail-prices-raw-2026-07-13-to-2026-08-10.csv",
+    dtype={"geography_id": "string"},
+)
+comparable = df.dropna(subset=["normalized_price_amount"]).copy()
+print(comparable["normalized_price_amount"].describe())
+```
+
+## Quality and limitations
+
+- All 348 expected date × ZIP-market combinations are present.
+- Exact duplicate public rows: 0. The preparation pass removed 28 byte-identical input repeats.
+- Scope review excluded 0 definite out-of-scope or unsafe titles representing 0 input rows.
+- Product titles are descriptive text, not stable public product identifiers.
+- ZIP labels describe selected markets, not citywide estimates; the panel is not nationally representative.
+- Availability and title wording can change unmatched aggregates through assortment change.
+- Shipping, tax, redeemed promotions, purchases, and product performance are outside the dataset.
+
+## License
+
+Released under **CC0 1.0 Universal** for unrestricted reuse. Attribution is not required, but citation helps others find the release.
+
+> CostInflation Team. (2026). *Ground Beef Prices Raw Dataset (2026).* CC0 1.0 Universal.
+
+## Resources
+
+- [Ground beef price history](https://costinflation.com/indices/beef-patty-price-history)
+- [Kaggle dataset](https://www.kaggle.com/datasets/costinflation/ground-beef-prices-raw-dataset-2026)
+- [Hugging Face dataset](https://huggingface.co/datasets/costinflation/ground-beef-prices-raw-dataset-2026)
+
+Released by **CostInflation Team**.