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release_2026_03_24/data_documentation.md
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# Data Documentation
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This document describes the data sources and variables used in the
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## Claude.ai Usage Data
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| `geography` | string | Geographic level: "country", "country-state", or "global" |
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| `date_start` | date | Start of data collection period |
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| `date_end` | date | End of data collection period |
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| `platform_and_product` | string | "Claude AI (Free and
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| `facet` | string | Analysis dimension (see Facets below) |
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| `level` | integer | Sub-level within facet (0-2) |
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| `variable` | string | Metric name (see Variables below) |
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- **none**: Indicates the absence of the attribute (e.g., no collaboration, no task selected)
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### Data Processing Notes
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- **Minimum Observations**: 200 conversations per country, 100 per country-state region (applied in enrichment step, not raw preprocessing)
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- **not_classified**:
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- For regular facets: Captures filtered/unclassified conversations
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- For intersection facets: Each base cluster has its own not_classified (e.g., "task1::not_classified")
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- **Intersection Percentages**: Calculated relative to base cluster totals, ensuring each base cluster's percentages sum to 100%
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- **Country Codes**: ISO-3166-1 format for countries,
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- **Variable Definitions**: See Core Variables section above
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## 1P API Usage Data
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| `facet` | string | Analysis dimension (see Facets below) |
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| `level` | integer | Sub-level within facet (0-2) |
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| `variable` | string | Metric name (see Variables below) |
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| `cluster_name` | string | Specific entity within facet. For intersections, format is "base::category" or "base::
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| `value` | float | Numeric metric value |
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### Facets
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# Data Documentation
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This document describes the data sources and variables used in the fifth Anthropic Economic Index (AEI) report.
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## Claude.ai Usage Data
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| `geography` | string | Geographic level: "country", "country-state", or "global" |
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| `date_start` | date | Start of data collection period |
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| `date_end` | date | End of data collection period |
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| `platform_and_product` | string | "Claude AI (Free, Pro, and Max)" |
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| `facet` | string | Analysis dimension (see Facets below) |
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| `level` | integer | Sub-level within facet (0-2) |
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| `variable` | string | Metric name (see Variables below) |
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- **none**: Indicates the absence of the attribute (e.g., no collaboration, no task selected)
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### Data Processing Notes
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- **not_classified**:
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- For regular facets: Captures filtered/unclassified conversations
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- For intersection facets: Each base cluster has its own not_classified (e.g., "task1::not_classified")
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- **Intersection Percentages**: Calculated relative to base cluster totals, ensuring each base cluster's percentages sum to 100%
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- **Country Codes**: ISO-3166-1 format for countries, two letter codes in the raw file (e.g., "US", "GB", "FR"); ISO 3166-2 format for country-state regions (e.g. "US-CA" in raw file)
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- **Variable Definitions**: See Core Variables section above
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## 1P API Usage Data
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| `facet` | string | Analysis dimension (see Facets below) |
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| `level` | integer | Sub-level within facet (0-2) |
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| `variable` | string | Metric name (see Variables below) |
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| `cluster_name` | string | Specific entity within facet. For intersections, format is "base::category" or "base::value" for mean value metrics |
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| `value` | float | Numeric metric value |
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### Facets
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