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data-diff: ❌ Found differences= Dataset garden/artificial_intelligence/2024-02-05/chess
= Table chess
~ Column elo_rating (changed data)
~ Changed values: 5 / 39 (12.82%)
entity year elo_rating - elo_rating +
Computer chess engine 1994 2321 2314
Computer chess engine 2009 3237 3227
Computer chess engine 2010 3237 3227
Computer chess engine 2011 3237 3236
Computer chess engine 2023 3591 3586
= Dataset garden/health/latest/global_health_mpox
= Table global_health_mpox
~ Dim country
+ + New values: 5 / 63 (7.94%)
date country
2024-09-08 Central African Republic
2024-09-23 Central African Republic
2024-08-22 Gabon
2024-09-08 Gabon
2024-09-08 Guinea
- - Removed values: 7 / 63 (11.11%)
date country
2024-09-30 Cameroon
2024-09-30 Congo
2024-09-30 Democratic Republic of Congo
2024-09-08 Guinea
2024-09-15 Rwanda
~ Dim date
+ + New values: 5 / 63 (7.94%)
country date
Central African Republic 2024-09-08
Central African Republic 2024-09-23
Gabon 2024-08-22
Gabon 2024-09-08
Guinea 2024-09-08
- - Removed values: 7 / 63 (11.11%)
country date
Cameroon 2024-09-30
Congo 2024-09-30
Democratic Republic of Congo 2024-09-30
Guinea 2024-09-08
Rwanda 2024-09-15
~ Column reported_cases (new data, changed data)
+ + New values: 5 / 63 (7.94%)
country date reported_cases
Central African Republic 2024-09-08 20.0
Central African Republic 2024-09-23 235.0
Gabon 2024-08-22 5.0
Gabon 2024-09-08 8.0
Guinea 2024-09-08 23.0
- - Removed values: 7 / 63 (11.11%)
country date reported_cases
Cameroon 2024-09-30 35.0
Congo 2024-09-30 20.0
Democratic Republic of Congo 2024-09-30 1007.0
Guinea 2024-09-08 23.0
Rwanda 2024-09-15 1739.0
~ Changed values: 2 / 63 (3.17%)
country date reported_cases - reported_cases +
Burundi 2024-09-23 259.0 286.0
Cote d'Ivoire 2024-09-16 51.0 85.0
~ Column suspected_cases_cumulative (new data, changed data)
+ + New values: 5 / 63 (7.94%)
country date suspected_cases_cumulative
Central African Republic 2024-09-08 20.0
Central African Republic 2024-09-23 255.0
Gabon 2024-08-22 5.0
Gabon 2024-09-08 13.0
Guinea 2024-09-08 23.0
- - Removed values: 7 / 63 (11.11%)
country date suspected_cases_cumulative
Cameroon 2024-09-30 188.0
Congo 2024-09-30 257.0
Democratic Republic of Congo 2024-09-30 34660.0
Guinea 2024-09-08 23.0
Rwanda 2024-09-15 1739.0
~ Changed values: 2 / 63 (3.17%)
country date suspected_cases_cumulative - suspected_cases_cumulative +
Burundi 2024-09-23 1391.0 1418.0
Cote d'Ivoire 2024-09-16 189.0 223.0
= Dataset garden/imf/2024-06-12/public_finances_modern_history
= Table public_finances_modern_history
~ Column expenditure (changed metadata)
- - entityAnnotationsMap: 'France: Break in 1978 is due to changes in series definition'
~ Column interest_exp (changed metadata)
- - entityAnnotationsMap: 'France: Break in 1978 is due to changes in series definition'
~ Column prim_expenditure (changed metadata)
- - entityAnnotationsMap: 'France: Break in 1978 is due to changes in series definition'
~ Column revenue (changed metadata)
- - entityAnnotationsMap: 'France: Break in 1978 is due to changes in series definition'
= Dataset garden/neglected_tropical_diseases/2024-05-18/funding
= Table funding_disease
~ Column amount__usd (changed metadata)
- - - producer: Impact Global Health
+ + - producer: Policy Cures Research
- - citation_full: Neglected Disease G-FINDER report, The Higher Cost of Lower Funding (2023), Impact Global Health.
? ^^^^ ^^^^^^^^^^ ^^
+ + citation_full: Neglected Disease G-FINDER report, The Higher Cost of Lower Funding (2023), Policy Cures Research.
? ^^^^ ^^^^^^^^^^^ ^^
- - url_main: https://gfinderdata.impactglobalhealth.org/pages/data-visualisations/allNeglectedDiseases
? --- ^^^^^^^^ ^^
+ + url_main: https://gfinderdata.policycuresresearch.org/pages/data-visualisations/allNeglectedDiseases
? +++ ^^^^^^^^^ ^^
= Table funding_product_ntd
~ Column amount__usd (changed metadata)
- - - producer: Impact Global Health
+ + - producer: Policy Cures Research
- - citation_full: Neglected Disease G-FINDER report, The Higher Cost of Lower Funding (2023), Impact Global Health.
? ^^^^ ^^^^^^^^^^ ^^
+ + citation_full: Neglected Disease G-FINDER report, The Higher Cost of Lower Funding (2023), Policy Cures Research.
? ^^^^ ^^^^^^^^^^^ ^^
- - url_main: https://gfinderdata.impactglobalhealth.org/pages/data-visualisations/allNeglectedDiseases
? --- ^^^^^^^^ ^^
+ + url_main: https://gfinderdata.policycuresresearch.org/pages/data-visualisations/allNeglectedDiseases
? +++ ^^^^^^^^^ ^^
= Table funding_disease_product
~ Column amount__usd (changed metadata)
- - - producer: Impact Global Health
+ + - producer: Policy Cures Research
- - citation_full: Neglected Disease G-FINDER report, The Higher Cost of Lower Funding (2023), Impact Global Health.
? ^^^^ ^^^^^^^^^^ ^^
+ + citation_full: Neglected Disease G-FINDER report, The Higher Cost of Lower Funding (2023), Policy Cures Research.
? ^^^^ ^^^^^^^^^^^ ^^
- - url_main: https://gfinderdata.impactglobalhealth.org/pages/data-visualisations/allNeglectedDiseases
? --- ^^^^^^^^ ^^
+ + url_main: https://gfinderdata.policycuresresearch.org/pages/data-visualisations/allNeglectedDiseases
? +++ ^^^^^^^^^ ^^
= Table funding_product
~ Column amount__usd (changed metadata)
- - - producer: Impact Global Health
+ + - producer: Policy Cures Research
- - citation_full: Neglected Disease G-FINDER report, The Higher Cost of Lower Funding (2023), Impact Global Health.
? ^^^^ ^^^^^^^^^^ ^^
+ + citation_full: Neglected Disease G-FINDER report, The Higher Cost of Lower Funding (2023), Policy Cures Research.
? ^^^^ ^^^^^^^^^^^ ^^
- - url_main: https://gfinderdata.impactglobalhealth.org/pages/data-visualisations/allNeglectedDiseases
? --- ^^^^^^^^ ^^
+ + url_main: https://gfinderdata.policycuresresearch.org/pages/data-visualisations/allNeglectedDiseases
? +++ ^^^^^^^^^ ^^
~ Dataset garden/oecd/2024-08-21/official_development_assistance
- - title: 'OECD Official Development Assistance (ODA) - DAC5: Aid (ODA) by sector and donor'
? ^ ^^ ^ ^ ^^
+ + title: 'OECD Official Development Assistance (ODA) - DAC2A: Aid (ODA) disbursements to countries and regions'
? ^^ +++ ^^ ^^^^^^ ++++++ +++ ^^^^ ^
- - This database provides aggregates on official development assistance (ODA) or other official flows (OOF), as well as flows from philanthropic foundations. These statistics are shown by sector and provider over time.
+ + Destination of Official Development Assistance Disbursements. Geographical breakdown by donor, recipient and for some types of aid (e.g. grant, loan, technical co-operation) on a disbursement basis (i.e. actual expenditures). The data cover flows from all bilateral and multilateral donors and philanthropic foundations.
~ Table official_development_assistance (changed metadata)
+ + title: 'OECD Official Development Assistance (ODA) - DAC2A: Aid (ODA) disbursements to countries and regions'
+ + description: |-
+ + Destination of Official Development Assistance Disbursements. Geographical breakdown by donor, recipient and for some types of aid (e.g. grant, loan, technical co-operation) on a disbursement basis (i.e. actual expenditures). The data cover flows from all bilateral and multilateral donors and philanthropic foundations.
+ + - channel
~ Column capital_subscriptions_deposits (new data, changed data)
+ + New values: 333418 / 465404 (71.64%)
capital_subscriptions_deposits
NaN
NaN
NaN
NaN
NaN
~ Changed values: 1531 / 465404 (0.33%)
capital_subscriptions_deposits - capital_subscriptions_deposits +
1.398798e+10 NaN
7.812000e+07 NaN
1.024860e+09 NaN
3.871700e+08 NaN
NaN 7112390144.0
~ Column capital_subscriptions_deposits_recipient (new data, changed data)
+ + New values: 333418 / 465404 (71.64%)
capital_subscriptions_deposits_recipient
NaN
NaN
NaN
NaN
NaN
~ Changed values: 2390 / 465404 (0.51%)
capital_subscriptions_deposits_recipient - capital_subscriptions_deposits_recipient +
NaN 41070000.0
69750000.00 NaN
9430000.00 NaN
4179999.75 NaN
19860000.00 NaN
~ Column channel (changed metadata, new data, changed data)
- - {}
+ + origins:
+ + - producer: OECD via ONE
+ + title: Official Development Assistance (ODA) - ONE ODA data package
+ + description: |-
+ + This package contains key tools used by The ONE Campaign to analyse Official Development Assistance (ODA) data from the OECD DAC databases.
+ +
+ + Interacting with the DAC databases can be a complex task. There are many databases, tables, and web interfaces which can be used to get the data you need. This means that getting the right ODA data can require expert knowledge not only of ODA, but also of how the DAC databases and tools are organised.
+ +
+ + This package aims to simplify this process and make it easier for users to get the data they need.
+ + title_snapshot: Official Development Assistance (ODA) - ONE ODA data package - Data by sector, purpose and channel
+ + description_snapshot: |-
+ + From the ONE ODA data package we extract gross bilateral flow and imputed multilateral flow disbursements for donors and recipients, by sector, purpose and channel. This data is originally extracted from the [Creditor Reporting System dataset](https://data-explorer.oecd.org/vis?fs[0]=Topic%2C1%7CDevelopment%23DEV%23%7COfficial%20Development%20Assistance%20%28ODA%29%23DEV_ODA%23&pg=0&fc=Topic&bp=true&snb=19&df=dsDisseminateFinalDMZ&df=DSD_CRS%40DF_CRS&df=OECD.DCD.FSD&df=1.1) published by the OECD.
+ + citation_full: |-
+ + ONE Campaign (2024). The ODA Data Package. Original data coming from OECD (2024). OECD Official Development Assistance (ODA) - CRS: Creditor Reporting System (flows). OECD Data Explorer.
+ + url_main: https://github.com/ONEcampaign/oda_data_package/
+ + date_accessed: '2024-10-02'
+ + date_published: '2024-07-23'
+ + license:
+ + name: OECD Terms & Conditions
+ + url: https://www.oecd.org/en/about/terms-conditions.html
+ + New values: 333418 / 465404 (71.64%)
channel
NaN
NaN
NaN
NaN
NaN
~ Changed values: 3732 / 465404 (0.80%)
channel - channel +
NaN Other
NaN Multilateral organizations
NaN Other
NaN Multilateral organizations
NaN Other
~ Column country (changed metadata, new data, changed data)
- - title: Donor
- - - producer: OECD
+ + - producer: OECD via ONE
? ++++++++
- - title: 'OECD Official Development Assistance (ODA) - DAC5: Aid (ODA) by sector and donor'
+ + title: Official Development Assistance (ODA) - ONE ODA data package
- - This database provides aggregates on official development assistance (ODA) or other official flows (OOF), as well as flows from philanthropic foundations. These statistics are shown by sector and provider over time.
- - citation_full: 'OECD (2024). OECD Official Development Assistance (ODA) - DAC5: Aid (ODA) by sector and donor. OECD Data
- - Explorer.'
- - url_main: https://www.oecd.org/en/topics/policy-issues/official-development-assistance-oda.html
- - url_download: https://stats.oecd.org/wbos/fileview2.aspx?IDFile=ce0c6657-1a43-4193-954f-97599b41a546
+ + This package contains key tools used by The ONE Campaign to analyse Official Development Assistance (ODA) data from the OECD DAC databases.
+ +
+ + Interacting with the DAC databases can be a complex task. There are many databases, tables, and web interfaces which can be used to get the data you need. This means that getting the right ODA data can require expert knowledge not only of ODA, but also of how the DAC databases and tools are organised.
+ +
+ + This package aims to simplify this process and make it easier for users to get the data they need.
+ + title_snapshot: Official Development Assistance (ODA) - ONE ODA data package - Data by sector, purpose and channel
+ + description_snapshot: |-
+ + From the ONE ODA data package we extract gross bilateral flow and imputed multilateral flow disbursements for donors and recipients, by sector, purpose and channel. This data is originally extracted from the [Creditor Reporting System dataset](https://data-explorer.oecd.org/vis?fs[0]=Topic%2C1%7CDevelopment%23DEV%23%7COfficial%20Development%20Assistance%20%28ODA%29%23DEV_ODA%23&pg=0&fc=Topic&bp=true&snb=19&df=dsDisseminateFinalDMZ&df=DSD_CRS%40DF_CRS&df=OECD.DCD.FSD&df=1.1) published by the OECD.
+ + citation_full: |-
+ + ONE Campaign (2024). The ODA Data Package. Original data coming from OECD (2024). OECD Official Development Assistance (ODA) - CRS: Creditor Reporting System (flows). OECD Data Explorer.
+ + url_main: https://github.com/ONEcampaign/oda_data_package/
- - date_accessed: '2024-08-21'
? - -
+ + date_accessed: '2024-10-02'
? + +
- - date_published: '2024-07-20'
? ^
+ + date_published: '2024-07-23'
? ^
- - name: OECD Terms & conditions
? ^
+ + name: OECD Terms & Conditions
? ^
+ + New values: 333418 / 465404 (71.64%)
country
Lesotho
Niue
South Asia (OECD)
Sudan
Sweden
~ Changed values: 131597 / 465404 (28.28%)
country - country +
Liechtenstein Cambodia
Margaret A. Cargill Foundation Canada
Marshall Islands Canada
Polynesia (OECD) Colombia
Turkey Democratic Republic of Congo
~ Column development_food_aid_recipient (new data, changed data)
+ + New values: 333418 / 465404 (71.64%)
development_food_aid_recipient
NaN
NaN
NaN
NaN
NaN
~ Changed values: 23562 / 465404 (5.06%)
development_food_aid_recipient - development_food_aid_recipient +
NaN 3774289920.0
8189999.5 NaN
0.0 NaN
930000.0 NaN
2300000.0 NaN
~ Column development_food_aid_recipient_per_capita (new data, changed data)
+ + New values: 333418 / 465404 (71.64%)
development_food_aid_recipient_per_capita
NaN
NaN
NaN
NaN
NaN
~ Changed values: 15452 / 465404 (3.32%)
development_food_aid_recipient_per_capita - development_food_aid_recipient_per_capita +
0.178945 NaN
4.315933 NaN
NaN 1.007110
NaN 2.013299
3.770477 NaN
~ Column donor (new data, changed data)
+ + New values: 333418 / 465404 (71.64%)
donor
NaN
NaN
NaN
NaN
NaN
~ Changed values: 71546 / 465404 (15.37%)
donor - donor +
Official donors NaN
Total aid NaN
DAC countries NaN
NaN Official donors
Official donors NaN
~ Column flows_net_disbursements (new data, changed data)
+ + New values: 333418 / 465404 (71.64%)
flows_net_disbursements
NaN
NaN
NaN
NaN
NaN
~ Changed values: 2542 / 465404 (0.55%)
flows_net_disbursements - flows_net_disbursements +
4.678260e+11 NaN
3.482029e+10 NaN
NaN 246485424.0
5.623534e+09 NaN
4.249632e+10 NaN
~ Column flows_share_gni_grant_equivalents (new data, changed data)
+ + New values: 333418 / 465404 (71.64%)
flows_share_gni_grant_equivalents
NaN
NaN
NaN
NaN
NaN
~ Changed values: 23 / 465404 (0.00%)
flows_share_gni_grant_equivalents - flows_share_gni_grant_equivalents +
0.12 NaN
0.14 NaN
0.15 NaN
0.96 NaN
0.40 NaN
~ Column flows_share_gni_net_disbursements (new data, changed data)
+ + New values: 333418 / 465404 (71.64%)
flows_share_gni_net_disbursements
NaN
NaN
NaN
NaN
NaN
~ Changed values: 2351 / 465404 (0.51%)
flows_share_gni_net_disbursements - flows_share_gni_net_disbursements +
0.162716 NaN
0.510000 NaN
NaN 0.641125
NaN 1.300824
0.147224 NaN
~ Column grants (new data, changed data)
+ + New values: 333418 / 465404 (71.64%)
grants
NaN
NaN
NaN
NaN
NaN
~ Changed values: 2940 / 465404 (0.63%)
grants - grants +
2.597057e+10 NaN
1.116306e+10 NaN
NaN 4.682913e+10
2.554000e+07 NaN
7.252000e+07 NaN
~ Column grants_recipient (new data, changed data)
+ + New values: 333418 / 465404 (71.64%)
grants_recipient
NaN
NaN
NaN
NaN
NaN
~ Changed values: 59179 / 465404 (12.72%)
grants_recipient - grants_recipient +
2081820032.0 NaN
661900032.0 4840000.0
418600000.0 NaN
2401560064.0 9450000.0
NaN 170000.0
~ Column grants_recipient_per_capita (new data, changed data)
+ + New values: 333418 / 465404 (71.64%)
grants_recipient_per_capita
NaN
NaN
NaN
NaN
NaN
~ Changed values: 41726 / 465404 (8.97%)
grants_recipient_per_capita - grants_recipient_per_capita +
17.534048 NaN
0.147707 NaN
NaN 42.324295
NaN 5.001633
NaN 21.828371
~ Column humanitarian_aid_recipient (new data, changed data)
+ + New values: 333418 / 465404 (71.64%)
humanitarian_aid_recipient
NaN
NaN
NaN
NaN
NaN
~ Changed values: 28827 / 465404 (6.19%)
humanitarian_aid_recipient - humanitarian_aid_recipient +
296580000.0 NaN
NaN 811330048.0
31640000.0 NaN
NaN 153030000.0
1800000.0 NaN
~ Column humanitarian_aid_recipient_per_capita (new data, changed data)
+ + New values: 333418 / 465404 (71.64%)
humanitarian_aid_recipient_per_capita
NaN
NaN
NaN
NaN
NaN
~ Changed values: 19349 / 465404 (4.16%)
humanitarian_aid_recipient_per_capita - humanitarian_aid_recipient_per_capita +
0.016243 NaN
0.016092 NaN
2.321623 NaN
0.202897 NaN
0.037821 NaN
~ Column i_oda_grant_equivalents (new data, changed data)
+ + New values: 333418 / 465404 (71.64%)
i_oda_grant_equivalents
NaN
NaN
NaN
NaN
NaN
~ Changed values: 338 / 465404 (0.07%)
i_oda_grant_equivalents - i_oda_grant_equivalents +
NaN 1262634368.0
873076480.0 NaN
5753307648.0 NaN
5867555328.0 NaN
1410912256.0 NaN
~ Column i_oda_net_disbursements (new data, changed data)
+ + New values: 333418 / 465404 (71.64%)
i_oda_net_disbursements
NaN
NaN
NaN
NaN
NaN
~ Changed values: 5295 / 465404 (1.14%)
i_oda_net_disbursements - i_oda_net_disbursements +
4862217216.0 NaN
479498112.0 NaN
477829984.0 NaN
6937799680.0 NaN
8145439744.0 NaN
~ Column i_oda_net_disbursements_per_capita (new data, changed data)
+ + New values: 333418 / 465404 (71.64%)
i_oda_net_disbursements_per_capita
NaN
NaN
NaN
NaN
NaN
~ Changed values: 2420 / 465404 (0.52%)
i_oda_net_disbursements_per_capita - i_oda_net_disbursements_per_capita +
24.373539 NaN
NaN 128.187637
NaN 112.434181
285.383362 NaN
126.992943 NaN
~ Column i_oda_net_disbursements_share_gni_2 (new data, changed data)
+ + New values: 333418 / 465404 (71.64%)
i_oda_net_disbursements_share_gni_2
NaN
NaN
NaN
NaN
NaN
~ Changed values: 2636 / 465404 (0.57%)
i_oda_net_disbursements_share_gni_2 - i_oda_net_disbursements_share_gni_2 +
0.239605 NaN
0.273521 NaN
0.413860 NaN
0.100806 NaN
NaN 0.351297
~ Column ii_oof_net_disbursements (new data, changed data)
+ + New values: 333418 / 465404 (71.64%)
ii_oof_net_disbursements
NaN
NaN
NaN
NaN
NaN
~ Changed values: 2012 / 465404 (0.43%)
ii_oof_net_disbursements - ii_oof_net_disbursements +
9437631.0 NaN
381366464.0 NaN
- -105140.0 NaN
3392531.0 NaN
108277792.0 NaN
~ Column iii_officially_supported_export_credits_net_disbursements (new data, changed data)
+ + New values: 333418 / 465404 (71.64%)
iii_officially_supported_export_credits_net_disbursements
NaN
NaN
NaN
NaN
NaN
~ Changed values: 1862 / 465404 (0.40%)
iii_officially_supported_export_credits_net_disbursements - iii_officially_supported_export_credits_net_disbursements +
76476624.0 NaN
NaN 16639675.0
319316736.0 NaN
397172320.0 NaN
3573019.0 NaN
~ Column iv_private_flows_market_terms_net_disbursements (new data, changed data)
+ + New values: 333418 / 465404 (71.64%)
iv_private_flows_market_terms_net_disbursements
NaN
NaN
NaN
NaN
NaN
~ Changed values: 1987 / 465404 (0.43%)
iv_private_flows_market_terms_net_disbursements - iv_private_flows_market_terms_net_disbursements +
3924089088.0 NaN
1687407104.0 NaN
4157954560.0 NaN
296358048.0 NaN
NaN 4.138358e+10
~ Column level_0 (new data)
+ + New values: 333418 / 465404 (71.64%)
level_0
247620
315257
385560
401259
404266
~ Column loans (new data, changed data)
+ + New values: 333418 / 465404 (71.64%)
loans
NaN
NaN
NaN
NaN
NaN
~ Changed values: 2269 / 465404 (0.49%)
loans - loans +
18010000.0 NaN
4942450176.0 NaN
10060000.0 NaN
32099998.0 NaN
5320000.0 NaN
~ Column loans_recipient (new data, changed data)
+ + New values: 333418 / 465404 (71.64%)
loans_recipient
NaN
NaN
NaN
NaN
NaN
~ Changed values: 45189 / 465404 (9.71%)
loans_recipient - loans_recipient +
NaN 2656800000.0
3871810048.0 NaN
- -1710000.0 NaN
593979968.0 NaN
NaN 1686829952.0
~ Column loans_recipient_per_capita (new data, changed data)
+ + New values: 333418 / 465404 (71.64%)
loans_recipient_per_capita
NaN
NaN
NaN
NaN
NaN
~ Changed values: 31558 / 465404 (6.78%)
loans_recipient_per_capita - loans_recipient_per_capita +
0.011799 NaN
- -0.872040 NaN
27.513910 NaN
NaN 6.750879
- -0.148247 NaN
~ Column oda_bilateral_2_grant_equivalents (new data, changed data)
+ + New values: 333418 / 465404 (71.64%)
oda_bilateral_2_grant_equivalents
NaN
NaN
NaN
NaN
NaN
~ Changed values: 342 / 465404 (0.07%)
oda_bilateral_2_grant_equivalents - oda_bilateral_2_grant_equivalents +
463035072.0 NaN
1019500032.0 NaN
1824489984.0 NaN
NaN 6768897.0
NaN 2723914.0
~ Column oda_bilateral_2_net_disbursements (new data, changed data)
+ + New values: 333418 / 465404 (71.64%)
oda_bilateral_2_net_disbursements
NaN
NaN
NaN
NaN
NaN
~ Changed values: 3050 / 465404 (0.66%)
oda_bilateral_2_net_disbursements - oda_bilateral_2_net_disbursements +
5.416978e+10 NaN
1.638645e+07 NaN
NaN 2.643021e+10
NaN 4.184251e+10
7.017198e+08 NaN
~ Column oda_bilateral_grant_equivalents (new data, changed data)
+ + New values: 333418 / 465404 (71.64%)
oda_bilateral_grant_equivalents
NaN
NaN
NaN
NaN
NaN
~ Changed values: 494 / 465404 (0.11%)
oda_bilateral_grant_equivalents - oda_bilateral_grant_equivalents +
8.558043e+10 NaN
NaN 2645400576.0
1.943744e+07 NaN
1.484925e+09 NaN
5.942724e+08 NaN
~ Column oda_by_channel_donor (changed metadata, new data, changed data)
- - {}
+ + title: ODA by donor and channel (<<channel>>)
+ + description_short: |-
+ + [Official development assistance](#dod:oda) given through <<channel.lower()>>. This data is expressed in US dollars. It is adjusted for inflation.
+ + description_key:
+ + - |-
+ + Official development assistance (ODA) eligibility criteria are based on (i) country eligibility, (ii) concessionality, and (iii) the promotion of the economic development and welfare of developing countries as the main objective. This means that (i) only countries and territories included in the list of ODA recipients are eligible to receive this assistance, (ii) lending is defined by minimum requirements according to the income category of the recipient country, and (iii) reporting rules have been implemented to define what is "primarily developmental".
+ + - The data is measured in constant 2022 US$ – this adjusts for inflation.
+ + - |-
+ + The [OECD Development Assistance Committee (DAC)](https://www.oecd.org/en/about/committees/development-assistance-committee.html) mantains a list of territories where ODA can be provided. The countries and territories on the DAC list of ODA recipients consist of all low and middle income countries based on gross national income (GNI) per capita as published by the World Bank, with the exception of former G8 members, EU members, and countries with a firm date for entry into the EU. The list also includes all of the Least Developed Countries (LDCs) as defined by the United Nations. The list is updated every three years and is available in (https://www.oecd.org/en/topics/sub-issues/oda-eligibility-and-conditions/dac-list-of-oda-recipients.html).
+ + origins:
+ + - producer: OECD via ONE
+ + title: Official Development Assistance (ODA) - ONE ODA data package
+ + description: |-
+ + This package contains key tools used by The ONE Campaign to analyse Official Development Assistance (ODA) data from the OECD DAC databases.
+ +
+ + Interacting with the DAC databases can be a complex task. There are many databases, tables, and web interfaces which can be used to get the data you need. This means that getting the right ODA data can require expert knowledge not only of ODA, but also of how the DAC databases and tools are organised.
+ +
+ + This package aims to simplify this process and make it easier for users to get the data they need.
+ + title_snapshot: Official Development Assistance (ODA) - ONE ODA data package - Data by sector, purpose and channel
+ + description_snapshot: |-
+ + From the ONE ODA data package we extract gross bilateral flow and imputed multilateral flow disbursements for donors and recipients, by sector, purpose and channel. This data is originally extracted from the [Creditor Reporting System dataset](https://data-explorer.oecd.org/vis?fs[0]=Topic%2C1%7CDevelopment%23DEV%23%7COfficial%20Development%20Assistance%20%28ODA%29%23DEV_ODA%23&pg=0&fc=Topic&bp=true&snb=19&df=dsDisseminateFinalDMZ&df=DSD_CRS%40DF_CRS&df=OECD.DCD.FSD&df=1.1) published by the OECD.
+ + citation_full: |-
+ + ONE Campaign (2024). The ODA Data Package. Original data coming from OECD (2024). OECD Official Development Assistance (ODA) - CRS: Creditor Reporting System (flows). OECD Data Explorer.
+ + url_main: https://github.com/ONEcampaign/oda_data_package/
+ + date_accessed: '2024-10-02'
+ + date_published: '2024-07-23'
+ + license:
+ + name: OECD Terms & Conditions
+ + url: https://www.oecd.org/en/about/terms-conditions.html
+ + unit: constant 2022 US$
+ + short_unit: $
+ + display:
+ + tolerance: 5
+ + entityAnnotationsMap: |-
+ + DAC countries (OECD): Major aid donors in the OECD plus EU institutions
+ + Non-DAC countries (OECD): Qatar, Saudi Arabia, Turkey, UAE, among others
+ + G7 countries (OECD): Canada, France, Germany, Italy, Japan, UK and US
+ + Multilateral organizations (OECD): e.g. World Bank and UN agencies
+ + Official donors: DAC countries, Non-DAC countries and multilateral organizations
+ + Private donors: Private voluntary agencies and NGOs
+ + name: ODA by donor and channel (<<channel>>)
+ + numDecimalPlaces: 0
+ + processing_level: major
+ + presentation:
+ + title_public: ODA by donor and channel (<<channel>>)
+ + topic_tags:
+ + - Foreign Aid
+ + description_processing: |-
+ + We calculated this indicator by aggregating the gross bilateral and imputed multilateral flows processed by the [ONE Campaign](https://github.com/ONEcampaign/oda_data_package/) from the OECD data. We also aggregate channel categories to provide a more comprehensive view of aid given and received.
+ + New values: 333418 / 465404 (71.64%)
oda_by_channel_donor
NaN
NaN
NaN
NaN
NaN
~ Changed values: 773 / 465404 (0.17%)
oda_by_channel_donor - oda_by_channel_donor +
NaN 0.000000e+00
NaN 0.000000e+00
NaN 1.513293e+09
NaN 9.728325e+07
NaN 2.465407e+10
~ Column oda_by_channel_recipient (changed metadata, new data, changed data)
- - {}
+ + title: ODA by recipient and channel (<<channel>>)
+ + description_short: |-
+ + [Official development assistance](#dod:oda) received through <<channel.lower()>>. This data is expressed in US dollars. It is adjusted for inflation.
+ + description_key:
+ + - |-
+ + Official development assistance (ODA) eligibility criteria are based on (i) country eligibility, (ii) concessionality, and (iii) the promotion of the economic development and welfare of developing countries as the main objective. This means that (i) only countries and territories included in the list of ODA recipients are eligible to receive this assistance, (ii) lending is defined by minimum requirements according to the income category of the recipient country, and (iii) reporting rules have been implemented to define what is "primarily developmental".
+ + - The data is measured in constant 2022 US$ – this adjusts for inflation.
+ + - |-
+ + The [OECD Development Assistance Committee (DAC)](https://www.oecd.org/en/about/committees/development-assistance-committee.html) mantains a list of territories where ODA can be provided. The countries and territories on the DAC list of ODA recipients consist of all low and middle income countries based on gross national income (GNI) per capita as published by the World Bank, with the exception of former G8 members, EU members, and countries with a firm date for entry into the EU. The list also includes all of the Least Developed Countries (LDCs) as defined by the United Nations. The list is updated every three years and is available in (https://www.oecd.org/en/topics/sub-issues/oda-eligibility-and-conditions/dac-list-of-oda-recipients.html).
+ + origins:
+ + - producer: OECD via ONE
+ + title: Official Development Assistance (ODA) - ONE ODA data package
+ + description: |-
+ + This package contains key tools used by The ONE Campaign to analyse Official Development Assistance (ODA) data from the OECD DAC databases.
+ +
+ + Interacting with the DAC databases can be a complex task. There are many databases, tables, and web interfaces which can be used to get the data you need. This means that getting the right ODA data can require expert knowledge not only of ODA, but also of how the DAC databases and tools are organised.
+ +
+ + This package aims to simplify this process and make it easier for users to get the data they need.
+ + title_snapshot: Official Development Assistance (ODA) - ONE ODA data package - Data by sector, purpose and channel
+ + description_snapshot: |-
+ + From the ONE ODA data package we extract gross bilateral flow and imputed multilateral flow disbursements for donors and recipients, by sector, purpose and channel. This data is originally extracted from the [Creditor Reporting System dataset](https://data-explorer.oecd.org/vis?fs[0]=Topic%2C1%7CDevelopment%23DEV%23%7COfficial%20Development%20Assistance%20%28ODA%29%23DEV_ODA%23&pg=0&fc=Topic&bp=true&snb=19&df=dsDisseminateFinalDMZ&df=DSD_CRS%40DF_CRS&df=OECD.DCD.FSD&df=1.1) published by the OECD.
+ + citation_full: |-
+ + ONE Campaign (2024). The ODA Data Package. Original data coming from OECD (2024). OECD Official Development Assistance (ODA) - CRS: Creditor Reporting System (flows). OECD Data Explorer.
+ + url_main: https://github.com/ONEcampaign/oda_data_package/
+ + date_accessed: '2024-10-02'
+ + date_published: '2024-07-23'
+ + license:
+ + name: OECD Terms & Conditions
+ + url: https://www.oecd.org/en/about/terms-conditions.html
+ + unit: constant 2022 US$
+ + short_unit: $
+ + display:
+ + tolerance: 5
+ + entityAnnotationsMap: |-
+ + DAC countries (OECD): Major aid donors in the OECD plus EU institutions
+ + Non-DAC countries (OECD): Qatar, Saudi Arabia, Turkey, UAE, among others
+ + G7 countries (OECD): Canada, France, Germany, Italy, Japan, UK and US
+ + Multilateral organizations (OECD): e.g. World Bank and UN agencies
+ + Official donors: DAC countries, Non-DAC countries and multilateral organizations
+ + Private donors: Private voluntary agencies and NGOs
+ + name: ODA by recipient and channel (<<channel>>)
+ + numDecimalPlaces: 0
+ + processing_level: major
+ + presentation:
+ + title_public: ODA by recipient and channel (<<channel>>)
+ + topic_tags:
+ + - Foreign Aid
+ + description_processing: |-
+ + We calculated this indicator by aggregating the gross bilateral and imputed multilateral flows processed by the [ONE Campaign](https://github.com/ONEcampaign/oda_data_package/) from the OECD data. We also aggregate channel categories to provide a more comprehensive view of aid given and received.
+ + New values: 333418 / 465404 (71.64%)
oda_by_channel_recipient
NaN
NaN
NaN
NaN
NaN
~ Changed values: 2975 / 465404 (0.64%)
oda_by_channel_recipient - oda_by_channel_recipient +
NaN 0.00
NaN 2460901.25
NaN 12350859.00
NaN 383119904.00
NaN 0.00
~ Column oda_by_sector (changed metadata, new data, changed data)
+ + {}
- - title: ODA by donor and sector (<<sector>>)
- - description_short: |-
- - [Official development assistance](#dod:oda) given that is <<sector.lower()>>. Monetary aid is estimated using commitment or gross disbursement data. This data is expressed in US dollars. It is adjusted for inflation.
- - description_key:
- - - |-
- - Official development assistance (ODA) eligibility criteria are based on (i) country eligibility, (ii) concessionality, and (iii) the promotion of the economic development and welfare of developing countries as the main objective. This means that (i) only countries and territories included in the list of ODA recipients are eligible to receive this assistance, (ii) lending is defined by minimum requirements according to the income category of the recipient country, and (iii) reporting rules have been implemented to define what is "primarily developmental".
- - - |-
- - <% if sector == "Humanitarian aid" %>
- - <<sector>> is assistance designed to save lives, alleviate suffering and maintain and protect human dignity during and in the aftermath of emergencies. To be classified as humanitarian, aid should be consistent with the humanitarian principles of humanity, impartiality, neutrality and independence. It broadly includes aid given for emergencies, such as natural disasters and wars, reconstruction in their aftermath, but also prevention and preparation for future emergencies.
- - <% elif sector == "Non-humanitarian aid" %>
- - <<sector>> broadly is aid for longer-term development, such as social and economic infrastructure.
- - <% elif sector == "Social infrastructure and services" %>
- - <<sector>> aid relates essentially to efforts to develop the human resource potential of developing countries. Includes education, health, population and reproductive health policies, water supply and sanitation, government and sanitation and other social services.
- - <% elif sector == "Economic infrastructure and services" %>
- - <<sector>> aid groups assistance for networks, utilities and services that facilitate economic activity. Includes transport and storage, communications, energy, banking and financial services, and business and other services.
- - <% elif sector == "Production sectors" %>
- - <<sector>> aid groups contributions to all directly productive sectors. Includes agriculture, forestry, fishing, industry, mineral resources and mining, construction, trade and tourism.
- - <% elif sector == "Multi-sector / Cross-cutting" %>
- - <<sector>> aid includes aid that is not sector-specific, such as aid for general environmental protection not allocable by sector.
- - <% elif sector == "Commodity aid / General programme assistance" %>
- - <<sector>> aid includes general budget support, development food assistance and other commodity assistance.
- - <%- endif -%>
- - - |-
- - Aid by sector is presented as commitment or gross disbursement data. Commitments refer to money pledged, and may be different from how much and how it is ultimately given/received. Gross disbursements measure total new flows given/received before repayments are deducted. Net disbursements are not used because there is no evidence that the source of financing to reimburse loans in a sector is actually the sector itself.
- - - The data is measured in constant 2022 US$ – this adjusts for inflation.
- - - |-
- - The [OECD Development Assistance Committee (DAC)](https://www.oecd.org/en/about/committees/development-assistance-committee.html) mantains a list of territories where ODA can be provided. The countries and territories on the DAC list of ODA recipients consist of all low and middle income countries based on gross national income (GNI) per capita as published by the World Bank, with the exception of former G8 members, EU members, and countries with a firm date for entry into the EU. The list also includes all of the Least Developed Countries (LDCs) as defined by the United Nations. The list is updated every three years and is available in (https://www.oecd.org/en/topics/sub-issues/oda-eligibility-and-conditions/dac-list-of-oda-recipients.html).
- - origins:
- - - producer: OECD
- - title: 'OECD Official Development Assistance (ODA) - DAC5: Aid (ODA) by sector and donor'
- - description: |-
- - This database provides aggregates on official development assistance (ODA) or other official flows (OOF), as well as flows from philanthropic foundations. These statistics are shown by sector and provider over time.
- - citation_full: 'OECD (2024). OECD Official Development Assistance (ODA) - DAC5: Aid (ODA) by sector and donor. OECD Data
- - Explorer.'
- - url_main: https://www.oecd.org/en/topics/policy-issues/official-development-assistance-oda.html
- - url_download: https://stats.oecd.org/wbos/fileview2.aspx?IDFile=ce0c6657-1a43-4193-954f-97599b41a546
- - date_accessed: '2024-08-21'
- - date_published: '2024-07-20'
- - license:
- - name: OECD Terms & conditions
- - url: https://www.oecd.org/en/about/terms-conditions.html
- - unit: constant 2022 US$
- - short_unit: $
- - display:
- - tolerance: 5
- - entityAnnotationsMap: |-
- - DAC countries (OECD): Major aid donors in the OECD plus EU institutions
- - Non-DAC countries (OECD): Qatar, Saudi Arabia, Turkey, UAE, among others
- - G7 countries (OECD): Canada, France, Germany, Italy, Japan, UK and US
- - Multilateral organizations (OECD): e.g. World Bank and UN agencies
- - Official donors: DAC countries, Non-DAC countries and multilateral organizations
- - Private donors: Private voluntary agencies and NGOs
- - name: ODA by donor and sector (<<sector>>)
- - numDecimalPlaces: 0
- - processing_level: |-
- - <% if sector == "Non-humanitarian aid" %>
- - major
- - <% else %>
- - minor
- - <%- endif -%>
- - presentation:
- - title_public: ODA by donor and sector (<<sector>>)
- - topic_tags:
- - - Foreign Aid
- - description_processing: |-
- - <% if sector == "Non-humanitarian aid" %>
- - We calculate non-humanitarian aid as the difference between total aid and humanitarian aid.
- - <%- endif -%>
+ + New values: 333418 / 465404 (71.64%)
oda_by_sector
NaN
NaN
NaN
NaN
NaN
~ Changed values: 64254 / 465404 (13.81%)
oda_by_sector - oda_by_sector +
314329984.0 NaN
528549984.0 NaN
1071380032.0 NaN
603950016.0 NaN
47030000.0 NaN
~ Column oda_by_sector_donor (changed metadata, new data, changed data)
- - {}
+ + title: ODA by donor and sector (<<sector>>)
+ + description_short: |-
+ + [Official development assistance](#dod:oda) given that is <<sector.lower()>>. Monetary aid is estimated using gross disbursement data. This data is expressed in US dollars. It is adjusted for inflation.
+ + description_key:
+ + - |-
+ + Official development assistance (ODA) eligibility criteria are based on (i) country eligibility, (ii) concessionality, and (iii) the promotion of the economic development and welfare of developing countries as the main objective. This means that (i) only countries and territories included in the list of ODA recipients are eligible to receive this assistance, (ii) lending is defined by minimum requirements according to the income category of the recipient country, and (iii) reporting rules have been implemented to define what is "primarily developmental".
+ + - |-
+ + <% if sector == "VIII. Humanitarian aid" %>
+ + <<sector>> is assistance designed to save lives, alleviate suffering and maintain and protect human dignity during and in the aftermath of emergencies. To be classified as humanitarian, aid should be consistent with the humanitarian principles of humanity, impartiality, neutrality and independence. It broadly includes aid given for emergencies, such as natural disasters and wars, reconstruction in their aftermath, but also prevention and preparation for future emergencies.
+ + <% elif sector == "Non-humanitarian aid" %>
+ + <<sector>> broadly is aid for longer-term development, such as social and economic infrastructure.
+ + <% elif sector == "I. Social infrastructure and services" %>
+ + <<sector>> aid relates essentially to efforts to develop the human resource potential of developing countries. Includes education, health, population and reproductive health policies, water supply and sanitation, government and sanitation and other social services.
+ + <% elif sector == "II. Economic infrastructure and services" %>
+ + <<sector>> aid groups assistance for networks, utilities and services that facilitate economic activity. Includes transport and storage, communications, energy, banking and financial services, and business and other services.
+ + <% elif sector == "III. Production sectors" %>
+ + <<sector>> aid groups contributions to all directly productive sectors. Includes agriculture, forestry, fishing, industry, mineral resources and mining, construction, trade and tourism.
+ + <% elif sector == "IV. Multisector/cross-cutting" %>
+ + <<sector>> aid includes aid that is not sector-specific, such as aid for general environmental protection not allocable by sector.
+ + <% elif sector == "VI. Commodity aid / General programme assistance" %>
+ + <<sector>> aid includes general budget support, development food assistance and other commodity assistance.
+ + <%- endif -%>
+ + - |-
+ + Aid by sector is presented as gross disbursement data. Gross disbursements measure total new flows given/received before repayments are deducted. Net disbursements are not used because there is no evidence that the source of financing to reimburse loans in a sector is actually the sector itself.
+ + - |-
+ + Data includes both bilateral aid plus imputed multilateral aid, calculated by (https://data.one.org/topics/official-development-assistance/) from OECD data.
+ + - The data is measured in constant 2022 US$ – this adjusts for inflation.
+ + - |-
+ + The [OECD Development Assistance Committee (DAC)](https://www.oecd.org/en/about/committees/development-assistance-committee.html) mantains a list of territories where ODA can be provided. The countries and territories on the DAC list of ODA recipients consist of all low and middle income countries based on gross national income (GNI) per capita as published by the World Bank, with the exception of former G8 members, EU members, and countries with a firm date for entry into the EU. The list also includes all of the Least Developed Countries (LDCs) as defined by the United Nations. The list is updated every three years and is available in (https://www.oecd.org/en/topics/sub-issues/oda-eligibility-and-conditions/dac-list-of-oda-recipients.html).
+ + origins:
+ + - producer: OECD via ONE
+ + title: Official Development Assistance (ODA) - ONE ODA data package
+ + description: |-
+ + This package contains key tools used by The ONE Campaign to analyse Official Development Assistance (ODA) data from the OECD DAC databases.
+ +
+ + Interacting with the DAC databases can be a complex task. There are many databases, tables, and web interfaces which can be used to get the data you need. This means that getting the right ODA data can require expert knowledge not only of ODA, but also of how the DAC databases and tools are organised.
+ +
+ + This package aims to simplify this process and make it easier for users to get the data they need.
+ + title_snapshot: Official Development Assistance (ODA) - ONE ODA data package - Data by sector, purpose and channel
+ + description_snapshot: |-
+ + From the ONE ODA data package we extract gross bilater
...diff too long, truncated...Automatically updated datasets matching weekly_wildfires|excess_mortality|covid|fluid|flunet|country_profile|garden/ihme_gbd/2019/gbd_risk are not included Edited: 2024-10-07 18:15:45 UTC |
paarriagadap
commented
Oct 1, 2024
|
Hi @Marigold! Do you know why I have this error when I run I don't know where to check and I am a bit blocked because of that. Thanks! |
|
@paarriagadap the dataset in grapher channel has a weird mix of types, including some pyarrow types. Could you try converting everything to float in the grapher step with |
|
@Marigold That was it, thank you very much! |
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