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README.md
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---
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license: cc0-1.0
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---
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license: cc0-1.0
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+
language:
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- en
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task_categories:
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- tabular-regression
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tags:
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- retail
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- prices
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- time-series
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- raw-data
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- medical
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pretty_name: Acetaminophen Prices Raw Dataset (2026)
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size_categories:
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- 10K<n<100K
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configs:
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- config_name: default
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data_files:
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- split: train
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path: costinflation-acetaminophen-retail-prices-raw-2026-07-13-to-2026-08-10.csv
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dataset_info:
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features:
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- name: series_id
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dtype: string
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- name: series_title
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dtype: string
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- name: canonical_url
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dtype: string
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- name: geography_type
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dtype: string
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- name: geography_id
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dtype: string
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- name: geography_label
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dtype: string
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- name: observed_date
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dtype: string
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- name: product_name
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dtype: string
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- name: quantity_value
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dtype: float64
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- name: quantity_unit
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dtype: string
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- name: quantity_name
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dtype: string
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- name: price_amount
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dtype: float64
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- name: currency_code
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dtype: string
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- name: normalized_price_amount
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dtype: float64
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- name: normalized_quantity_value
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dtype: float64
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- name: normalized_quantity_unit
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dtype: string
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splits:
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- name: train
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num_examples: 11116
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---
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> 11,116 raw U.S. acetaminophen price observations across 12 ZIP markets and 29 days.
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# Acetaminophen Prices Raw Dataset (2026)
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Analyze **11,116 unaggregated product-level listed retail prices** for solid-unit acetaminophen listings 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.
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> **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.
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## Dataset at a glance
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| Field | Coverage |
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|---|---:|
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| Rows | 11,116 |
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| Columns | 16 |
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| Observation window | July 13–August 10, 2026 |
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| Dates / ZIP markets | 29 / 12 |
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| Market-days | 348 of 348 |
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| Distinct product titles | 63 |
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| Comparable-price rows | 9,465 (85.1%) |
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| Rows with unresolved comparison | 1,651 (14.9%) |
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| Comparison target | 100 units |
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| Format / currency | CSV / USD |
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| Expected updates | None; fixed research snapshot |
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## A result worth investigating
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**The P90 comparable price was 9.4× the P10.** Across compatible rows, the 100 units-equivalent price ranged from a P10 of $1.80 to a P90 of $16.96, a 9.4× spread. This is a distribution description, not a matched-product quality or value claim.
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## What one row represents
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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.
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## Comparable-price method
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The fixed comparison target is **100 units**. Compatible count units normalize to 100 tablets, caplets, or capsules. Dose, strength, formulation, safety, and efficacy are not treated as equivalent; this is not medical advice. Original package fields remain available for audit.
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## Columns
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| Column | Type | Meaning |
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|---|---|---|
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| `series_id` | string | Stable source-neutral dataset series key |
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| `series_title` | string | Human-readable series title |
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| `canonical_url` | string | Related CostInflation category page |
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| `geography_type` | string | Geography level; always postal_code |
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| `geography_id` | string | Five-digit U.S. ZIP code; load as text |
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| `geography_label` | string | Human-readable ZIP-market label |
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| `observed_date` | date | Observation date in YYYY-MM-DD |
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| `product_name` | string | Full observed title; not a stable product ID |
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| `quantity_value` | number | Resolved package quantity; 0 if unresolved |
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| `quantity_unit` | string | Resolved package unit or unknown |
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| `quantity_name` | string | Human-readable package quantity |
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| `price_amount` | number | Listed package or unit price |
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| `currency_code` | string | Currency; always USD |
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| `normalized_price_amount` | nullable number | Listed price scaled to the dataset comparison target |
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| `normalized_quantity_value` | number | Numeric comparison target |
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| `normalized_quantity_unit` | string | Unit for the comparison target |
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## Project ideas
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- Compare package-count prices without dosage adjustment
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- Track matched product titles through time
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- Run reproducible EDA and missing-value analysis
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## Quick start with Pandas
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```python
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import pandas as pd
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df = pd.read_csv(
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"costinflation-acetaminophen-retail-prices-raw-2026-07-13-to-2026-08-10.csv",
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dtype={"geography_id": "string"},
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)
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comparable = df.dropna(subset=["normalized_price_amount"]).copy()
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print(comparable["normalized_price_amount"].describe())
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```
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## Quality and limitations
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- All 348 expected date × ZIP-market combinations are present.
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- Exact duplicate public rows: 0. The preparation pass removed 2 byte-identical input repeats.
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- Scope review excluded 6 definite out-of-scope or unsafe titles representing 655 input rows.
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- Product titles are descriptive text, not stable public product identifiers.
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- ZIP labels describe selected markets, not citywide estimates; the panel is not nationally representative.
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- Availability and title wording can change unmatched aggregates through assortment change.
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- Shipping, tax, redeemed promotions, purchases, and product performance are outside the dataset.
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## License
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Released under **CC0 1.0 Universal** for unrestricted reuse. Attribution is not required, but citation helps others find the release.
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> CostInflation Team. (2026). *Acetaminophen Prices Raw Dataset (2026).* CC0 1.0 Universal.
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## Resources
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- [Acetaminophen price history](https://costinflation.com/indices/acetaminophen-price-history)
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- [Kaggle dataset](https://www.kaggle.com/datasets/costinflation/acetaminophen-prices-raw-dataset-2026)
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- [Hugging Face dataset](https://huggingface.co/datasets/costinflation/acetaminophen-prices-raw-dataset-2026)
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Released by **CostInflation Team**.
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costinflation-acetaminophen-retail-prices-raw-2026-07-13-to-2026-08-10.csv
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The diff for this file is too large to render.
See raw diff
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dataset-cover-image.png
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Git LFS Details
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