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Access dataset files directly from scripts, code, or AI agents.
Dataset Files
Each file has a stable URL (r-link) that you can use directly in scripts, apps, or AI agents. These URLs are permanent and safe to hardcode.
/fivethirtyeight/alcohol-consumption/
https://datahub.io/fivethirtyeight/alcohol-consumption/_r/-/README.md
https://datahub.io/fivethirtyeight/alcohol-consumption/_r/-/data/drinks.csv
https://datahub.io/fivethirtyeight/alcohol-consumption/_r/-/datapackage.json
Key Files
Start with these files — they give you everything you need to understand and access the dataset.
datapackage.json— metadata & schema
https://datahub.io/fivethirtyeight/alcohol-consumption/_r/-/datapackage.json
README.md— documentation
https://datahub.io/fivethirtyeight/alcohol-consumption/_r/-/README.md
Typical Usage
- 1. Fetch datapackage.json to inspect schema and resources
- 2. Download data resources listed in datapackage.json
- 3. Read README.md for full context
Data Previews
drinks
Loading data...
Schema
| name | type | format |
|---|---|---|
| country | string | default |
| beer_servings | integer | default |
| spirit_servings | integer | default |
| wine_servings | integer | default |
| total_litres_of_pure_alcohol | number | default |
Data Files
| File | Description | Size | Last modified | Download |
|---|---|---|---|---|
drinks | 4.38 kB | about 2 months ago | drinks |
| Files | Size | Format | Created | Updated | License | Source |
|---|---|---|---|---|---|---|
| 1 | 4.38 kB | csv | about 2 months ago | FiveThirtyEight - Alcohol Consumption |
Alcohol Consumption
This folder contains the data behind the story Dear Mona Followup: Where Do People Drink The Most Beer, Wine And Spirits?
Units: Average serving sizes per person Source: World Health Organisation, Global Information System on Alcohol and Health (GISAH), 2010
This dataset was scraped from FiveThirtyEight - alcohol-consumption