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Task: Wrangle Technology Adoption Rates Dataset (da-jui)

Share of US households or population using key technologies over time: telephone, radio, television, personal computer, internet, mobile phone, smartphone. Each technology wave adopted faster than the last.

API Access

Access dataset files directly from scripts, code, or AI agents.

Browse dataset files
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
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.jsonmetadata & schema
https://datahub.io/technology/adoption-rates-technology/_r/-/datapackage.json
README.mddocumentation
https://datahub.io/technology/adoption-rates-technology/_r/-/README.md
Typical Usage
  1. 1. Fetch datapackage.json to inspect schema and resources
  2. 2. Download data resources listed in datapackage.json
  3. 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

FileDescriptionSizeLast modifiedDownload
adoption-rates
5.55 kBabout 2 months ago
adoption-rates
adoption-rates-wide
2.21 kBabout 2 months ago
adoption-rates-wide
FilesSizeFormatCreatedUpdatedLicenseSource
27.76 kBabout 2 months agoOpen 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 year
  • technology: 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

TechnologyExpected 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

Steps

  1. Fetch OWID technology adoption data (check their GitHub or data API)
  2. Filter to United States, key technologies listed above
  3. Normalise to schema above
  4. Write data/adoption_rates.csv
  5. Update datapackage.json: set status to structured, add resource, add a line chart view
  6. Write README.md — lead with the story: each technology wave is adopted faster than the last (telephone took ~80 years to reach saturation; smartphone took 10). 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