owid / etl

A compute graph for loading and transforming OWID's data
https://docs.owid.io/projects/etl
MIT License
58 stars 18 forks source link

🔧 Making GBD Cause Hierarchy private #2804

Closed spoonerf closed 3 weeks ago

owidbot commented 3 weeks ago
Quick links (staging server): Site Admin Wizard

Login: ssh owid@staging-site-gbd-private

chart-diff: âś… No charts for review.
data-diff: ❌ Found differences ```diff = Dataset garden/artificial_intelligence/2024-06-03/epoch = Table epoch = Dataset garden/artificial_intelligence/2024-06-03/epoch_aggregates_affiliation = Table epoch_aggregates_affiliation ~ Column cumulative_count (changed metadata) - - description_short: Describes the sector where the authors of an AI system have their primary affiliations. + + description_short: |- + + Describes the sector where the authors of a notable AI system have their primary affiliations. The 2024 data is incomplete and was last updated 13 June 2024. ~ Column yearly_count (changed metadata) - - description_short: Describes the sector where the authors of an AI system have their primary affiliations. + + description_short: |- + + Describes the sector where the authors of a notable AI system have their primary affiliations. The 2024 data is incomplete and was last updated 13 June 2024. = Dataset garden/artificial_intelligence/2024-06-03/epoch_aggregates_countries = Table epoch_aggregates_countries ~ Column cumulative_count (changed metadata) - - Total annual number of notable machine learning models attributed to the location of researchers’ affiliated institutions. The 2024 data is incomplete and was last updated 11 June 2024. + + Refers to the location of the primary organization with which the authors of a notable AI system are affiliated. An AI system can have multiple authors, each potentially affiliated with different institutions, thus contributing to the count for multiple countries. The 2024 data is incomplete and was last updated 13 June 2024. ~ Column yearly_count (changed metadata) - - Total annual number of notable machine learning models attributed to the location of researchers’ affiliated institutions. The 2024 data is incomplete and was last updated 11 June 2024. + + Refers to the location of the primary organization with which the authors of a notable AI system are affiliated. An AI system can have multiple authors, each potentially affiliated with different institutions, thus contributing to the count for multiple countries. The 2024 data is incomplete and was last updated 13 June 2024. Legend: +New ~Modified -Removed =Identical Details Hint: Run this locally with etl diff REMOTE data/ --include yourdataset --verbose --snippet ``` Automatically updated datasets matching _weekly_wildfires|excess_mortality|covid|fluid|flunet|country_profile|garden/ihme_gbd/2019/gbd_risk_ are not included

Edited: 2024-06-13 09:47:05 UTC Execution time: 12.00 seconds

spoonerf commented 3 weeks ago

Hey @lucasrodes - there's some unexpected stuff coming up in data-diff, just wanted to flag in case that's unexpected.