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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.
/technology/adoption-rates-technology/
https://datahub.io/technology/adoption-rates-technology/_r/-/AGENTS.md
https://datahub.io/technology/adoption-rates-technology/_r/-/README.md
├ TASK.md
https://datahub.io/technology/adoption-rates-technology/_r/-/TASK.md
https://datahub.io/technology/adoption-rates-technology/_r/-/data/adoption_rates.csv
https://datahub.io/technology/adoption-rates-technology/_r/-/data/adoption_rates_wide.csv
https://datahub.io/technology/adoption-rates-technology/_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/technology/adoption-rates-technology/_r/-/datapackage.json
README.md— documentation
https://datahub.io/technology/adoption-rates-technology/_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 Views
Data Previews
US Technology Adoption Rates (Long Format)
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US Technology Adoption Rates (Wide Format)
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Data Files
| File | Description | Size | Last modified | Download |
|---|---|---|---|---|
adoption-rates | 5.55 kB | about 2 months ago | adoption-rates | |
adoption-rates-wide | 2.21 kB | about 2 months ago | adoption-rates-wide |
| Files | Size | Format | Created | Updated | License | Source |
|---|---|---|---|---|---|---|
| 2 | 7.76 kB | about 2 months ago | Open Data Commons Public Domain Dedication and License v1.0 |
Task: Wrangle Technology Adoption Rates Dataset (da-jui)
You are wrangling a dataset of technology adoption rates over time for publication on DataHub under the technology publication.
Goal
Build data/adoption_rates.csv with US adoption rates for key technologies over time.
Schema
year,technology,adoption_pct
1920,radio,0.1
Fields:
year: integer yeartechnology: slug name (telephone, radio, television, personal-computer, internet, mobile-phone, smartphone)adoption_pct: share of US households (or population) using the technology (0–100 scale)
Technologies to cover
| Technology | Expected coverage |
|---|---|
| telephone | ~1900–present |
| radio | ~1920–present |
| television | ~1950–present |
| personal-computer | ~1980–present |
| internet | ~1990–present |
| mobile-phone | ~1990–present |
| smartphone | ~2007–present |
Sources
- Our World in Data "Technology Adoption" page and underlying data: https://ourworldindata.org/technology-adoption
- OWID GitHub data repo: https://github.com/owid/owid-datasets
- US Census Historical Statistics: https://www.census.gov/library/publications/1975/compendia/hist_stats_colonial-1970.html
- Pew Research Center (internet/mobile/smartphone)
- ITU (mobile/internet)
Steps
- Fetch OWID technology adoption data (check their GitHub or data API)
- Filter to United States, key technologies listed above
- Normalise to schema above
- Write
data/adoption_rates.csv - Update
datapackage.json: setstatustostructured, add resource, add a line chart view - Write
README.md— lead with the story: each technology wave is adopted faster than the last (telephone took ~80 years to reach saturation; smartphone took10). No tilde () characters.
Constraints
- No tilde characters in README.md (breaks MDX rendering)
- adoption_pct as 0–100 (percent, not decimal)
- US only for consistency
- Do NOT push — owner will push manually