data-diff: ❌ Found differences
```diff
= Dataset garden/wpf/2024-10-03/famines_by_place
= Table famines_by_place
~ Dim country
+ + New values: 154 / 616 (25.00%)
year country
1894 Other countries
1896 Other countries
1959 Other countries
1979 Other countries
2021 Other countries
- - Removed values: 154 / 616 (25.00%)
year country
1894 Other
1896 Other
1959 Other
1979 Other
2021 Other
~ Dim year
+ + New values: 154 / 616 (25.00%)
country year
Other countries 1894
Other countries 1896
Other countries 1959
Other countries 1979
Other countries 2021
- - Removed values: 154 / 616 (25.00%)
country year
Other 1894
Other 1896
Other 1959
Other 1979
Other 2021
~ Column decadal_famine_deaths (new data, changed data)
+ + New values: 154 / 616 (25.00%)
country year decadal_famine_deaths
Other countries 1894 NaN
Other countries 1896 NaN
Other countries 1959 NaN
Other countries 1979 NaN
Other countries 2021 NaN
- - Removed values: 154 / 616 (25.00%)
country year decadal_famine_deaths
Other 1894 NaN
Other 1896 NaN
Other 1959 NaN
Other 1979 NaN
Other 2021 NaN
~ Column wpf_authoritative_mortality_estimate (new data, changed data)
+ + New values: 154 / 616 (25.00%)
country year wpf_authoritative_mortality_estimate
Other countries 1894 229166.671875
Other countries 1896 287916.656250
Other countries 1959 0.000000
Other countries 1979 262600.000000
Other countries 2021 182500.000000
- - Removed values: 154 / 616 (25.00%)
country year wpf_authoritative_mortality_estimate
Other 1894 229166.671875
Other 1896 287916.656250
Other 1959 0.000000
Other 1979 262600.000000
Other 2021 182500.000000
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
Login:
ssh owid@staging-site-famined-edit
chart-diff: ✅
data-diff: ❌ Found differences
```diff = Dataset garden/wpf/2024-10-03/famines_by_place = Table famines_by_place ~ Dim country + + New values: 154 / 616 (25.00%) year country 1894 Other countries 1896 Other countries 1959 Other countries 1979 Other countries 2021 Other countries - - Removed values: 154 / 616 (25.00%) year country 1894 Other 1896 Other 1959 Other 1979 Other 2021 Other ~ Dim year + + New values: 154 / 616 (25.00%) country year Other countries 1894 Other countries 1896 Other countries 1959 Other countries 1979 Other countries 2021 - - Removed values: 154 / 616 (25.00%) country year Other 1894 Other 1896 Other 1959 Other 1979 Other 2021 ~ Column decadal_famine_deaths (new data, changed data) + + New values: 154 / 616 (25.00%) country year decadal_famine_deaths Other countries 1894 NaN Other countries 1896 NaN Other countries 1959 NaN Other countries 1979 NaN Other countries 2021 NaN - - Removed values: 154 / 616 (25.00%) country year decadal_famine_deaths Other 1894 NaN Other 1896 NaN Other 1959 NaN Other 1979 NaN Other 2021 NaN ~ Column wpf_authoritative_mortality_estimate (new data, changed data) + + New values: 154 / 616 (25.00%) country year wpf_authoritative_mortality_estimate Other countries 1894 229166.671875 Other countries 1896 287916.656250 Other countries 1959 0.000000 Other countries 1979 262600.000000 Other countries 2021 182500.000000 - - Removed values: 154 / 616 (25.00%) country year wpf_authoritative_mortality_estimate Other 1894 229166.671875 Other 1896 287916.656250 Other 1959 0.000000 Other 1979 262600.000000 Other 2021 182500.000000 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 includedEdited: 2024-11-03 22:45:08 UTC Execution time: 4.21 seconds