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Login: ssh owid@staging-site-update-wid-nov-2024
chart-diff: ❌
- 0/26 reviewed charts
- Modified: 0/26
- New: 0/0
- Rejected: 0
data-diff:
```diff = Dataset garden/antibiotics/2024-11-15/testing_coverage = Table testing_coverage ⚠ Error: Index must be unique. = Dataset garden/artificial_intelligence/2023-06-14/ai_deepfakes = Table ai_deepfakes ⚠ Error: Index must be unique. ⚠ Error: Index must be unique. = Dataset garden/artificial_intelligence/2024-11-03/epoch_aggregates_domain = Table epoch_aggregates_domain ~ Column cumulative_count (changed metadata) - - Describes the specific area, application, or field in which an AI system is designed to operate. An AI system can operate in more than one domain, thus contributing to the count for multiple domains. The 2024 data is incomplete and was last updated 03 November 2024. ? ^^ + + Describes the specific area, application, or field in which an AI system is designed to operate. An AI system can operate in more than one domain, thus contributing to the count for multiple domains. The 2024 data is incomplete and was last updated 6 November 2024. ? ^ ~ Column yearly_count (changed metadata) - - Describes the specific area, application, or field in which an AI system is designed to operate. An AI system can operate in more than one domain, thus contributing to the count for multiple domains. The 2024 data is incomplete and was last updated 03 November 2024. ? ^^ + + Describes the specific area, application, or field in which an AI system is designed to operate. An AI system can operate in more than one domain, thus contributing to the count for multiple domains. The 2024 data is incomplete and was last updated 6 November 2024. ? ^ = Dataset garden/artificial_intelligence/2024-11-03/epoch_compute_intensive_countries = Table epoch_compute_intensive_countries ~ Column cumulative_count (changed metadata) - - Refers to the location of the primary organization with which the authors of a large-scale AI systems are affiliated. The 2024 data is incomplete and was last updated 03 November 2024. ? ^^ + + Refers to the location of the primary organization with which the authors of a large-scale AI systems are affiliated. The 2024 data is incomplete and was last updated 6 November 2024. ? ^ ~ Column yearly_count (changed metadata) - - Refers to the location of the primary organization with which the authors of a large-scale AI systems are affiliated. The 2024 data is incomplete and was last updated 03 November 2024. ? ^^ + + Refers to the location of the primary organization with which the authors of a large-scale AI systems are affiliated. The 2024 data is incomplete and was last updated 6 November 2024. ? ^ = Dataset garden/artificial_intelligence/2024-11-03/epoch_compute_intensive_domain = Table epoch_compute_intensive_domain ~ Column cumulative_count (changed metadata) - - Describes the specific area, application, or field in which a large-scale AI model is designed to operate. The 2024 data is incomplete and was last updated 03 November 2024. ? ^^ + + Describes the specific area, application, or field in which a large-scale AI model is designed to operate. The 2024 data is incomplete and was last updated 6 November 2024. ? ^ ~ Column yearly_count (changed metadata) - - Describes the specific area, application, or field in which a large-scale AI model is designed to operate. The 2024 data is incomplete and was last updated 03 November 2024. ? ^^ + + Describes the specific area, application, or field in which a large-scale AI model is designed to operate. The 2024 data is incomplete and was last updated 6 November 2024. ? ^ = Dataset garden/faostat/2024-03-14/faostat_fa = Table faostat_fa = Table faostat_fa_flat 2024-11-20 08:07:55 [warning ] DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` category=PerformanceWarning filename=/home/owid/etl/lib/catalog/owid/catalog/tables.py lineno=405 2024-11-20 08:08:59 [warning ] DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` category=PerformanceWarning filename=/home/owid/etl/lib/catalog/owid/catalog/tables.py lineno=405 2024-11-20 08:15:31 [warning ] DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` category=PerformanceWarning filename=/home/owid/etl/lib/catalog/owid/catalog/tables.py lineno=405 2024-11-20 08:15:59 [warning ] DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` category=PerformanceWarning filename=/home/owid/etl/lib/catalog/owid/catalog/tables.py lineno=405 = Dataset garden/lis/2024-06-13/luxembourg_income_study = Table lis_percentiles_adults = Table lis_percentiles = Table luxembourg_income_study_adults = Table luxembourg_income_study ⚠ Error: Index must be unique. = Dataset garden/un/2022-07-11/un_wpp = Table migration = Table fertility = Table demographic = Table population = Table un_wpp = Table mortality = Table population_granular ~ Column value (changed data) ~ Changed values: 1391 / 39815008 (0.00%) location year metric sex age variant value - value + Tokelau 2047 sex_ratio none 91 highEdited: 2024-11-20 10:35:27 UTC Execution time: 4.42 seconds
https://github.com/owid/owid-issues/issues/1713