📊 news:various additions #2963
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Login: chart-diff: ✅No charts for review.data-diff: ❌ Found differences= Dataset garden/news/2024-05-08/guardian_mentions
= Table guardian_mentions
~ Dim country
+ + New values: 143 / 2875 (4.97%)
year country
2018 Asia
2013 East Asia and Pacific (WB)
2014 Europe and Central Asia (WB)
2014 Latin America and Caribbean (WB)
2021 South America
~ Dim year
+ + New values: 143 / 2875 (4.97%)
country year
Asia 2018
East Asia and Pacific (WB) 2013
Europe and Central Asia (WB) 2014
Latin America and Caribbean (WB) 2014
South America 2021
~ Column num_pages_mentions (new data)
+ + New values: 143 / 2875 (4.97%)
country year num_pages_mentions
Asia 2018 30429
East Asia and Pacific (WB) 2013 26225
Europe and Central Asia (WB) 2014 80943
Latin America and Caribbean (WB) 2014 14702
South America 2021 4787
~ Column num_pages_mentions_per_million (new data)
+ + New values: 143 / 2875 (4.97%)
country year num_pages_mentions_per_million
Asia 2018 6.631141
East Asia and Pacific (WB) 2013 NaN
Europe and Central Asia (WB) 2014 NaN
Latin America and Caribbean (WB) 2014 NaN
South America 2021 11.023499
~ Column num_pages_tags (new data)
+ + New values: 143 / 2875 (4.97%)
country year num_pages_tags
Asia 2018 6655
East Asia and Pacific (WB) 2013 12056
Europe and Central Asia (WB) 2014 41112
Latin America and Caribbean (WB) 2014 2683
South America 2021 643
~ Column num_pages_tags_per_million (new data)
+ + New values: 143 / 2875 (4.97%)
country year num_pages_tags_per_million
Asia 2018 1.450269
East Asia and Pacific (WB) 2013 NaN
Europe and Central Asia (WB) 2014 NaN
Latin America and Caribbean (WB) 2014 NaN
South America 2021 1.480700
~ Column relative_pages_mentions (new data)
+ + New values: 143 / 2875 (4.97%)
country year relative_pages_mentions
Asia 2018 37972.644531
East Asia and Pacific (WB) 2013 20890.421875
Europe and Central Asia (WB) 2014 65752.789062
Latin America and Caribbean (WB) 2014 11942.941406
South America 2021 6246.737793
~ Column relative_pages_mentions_excluded (new data)
+ + New values: 143 / 2875 (4.97%)
country year relative_pages_mentions_excluded
Asia 2018 30243.093750
East Asia and Pacific (WB) 2013 111073.601562
Europe and Central Asia (WB) 2014 36875.925781
Latin America and Caribbean (WB) 2014 15067.901367
South America 2021 12537.842773
~ Column relative_pages_tags (new data)
+ + New values: 143 / 2875 (4.97%)
country year relative_pages_tags
Asia 2018 8304.839844
East Asia and Pacific (WB) 2013 9603.620117
Europe and Central Asia (WB) 2014 33396.695312
Latin America and Caribbean (WB) 2014 2179.493408
South America 2021 839.075073
~ Column relative_pages_tags_excluded (new data)
+ + New values: 143 / 2875 (4.97%)
country year relative_pages_tags_excluded
Asia 2018 5170.090332
East Asia and Pacific (WB) 2013 102220.875000
Europe and Central Asia (WB) 2014 8475.898438
Latin America and Caribbean (WB) 2014 3165.956299
South America 2021 2363.242432
= Table avg_10y
~ Dim country
+ + New values: 7 / 287 (2.44%)
year country
2023 East Asia and Pacific (WB)
2023 Europe and Central Asia (WB)
2023 Latin America and Caribbean (WB)
2023 Middle East and North Africa (WB)
2023 Sub-Saharan Africa (WB)
~ Dim year
+ + New values: 7 / 287 (2.44%)
country year
East Asia and Pacific (WB) 2023
Europe and Central Asia (WB) 2023
Latin America and Caribbean (WB) 2023
Middle East and North Africa (WB) 2023
Sub-Saharan Africa (WB) 2023
~ Column num_pages_mentions_10y_avg (new data, changed data)
+ + New values: 7 / 287 (2.44%)
country year num_pages_mentions_10y_avg
East Asia and Pacific (WB) 2023 29761.699219
Europe and Central Asia (WB) 2023 73523.601562
Latin America and Caribbean (WB) 2023 10308.400391
Middle East and North Africa (WB) 2023 15243.700195
Sub-Saharan Africa (WB) 2023 9139.400391
~ Changed values: 6 / 287 (2.09%)
country year num_pages_mentions_10y_avg - num_pages_mentions_10y_avg +
Africa 2023 NaN 11872.400391
Asia 2023 NaN 37015.300781
Europe 2023 NaN 70450.703125
North America 2023 NaN 52772.101562
South America 2023 NaN 5487.399902
~ Column num_pages_mentions_per_million_10y_avg (new data, changed data)
+ + New values: 7 / 287 (2.44%)
country year num_pages_mentions_per_million_10y_avg
East Asia and Pacific (WB) 2023 NaN
Europe and Central Asia (WB) 2023 NaN
Latin America and Caribbean (WB) 2023 NaN
Middle East and North Africa (WB) 2023 NaN
Sub-Saharan Africa (WB) 2023 NaN
~ Changed values: 6 / 287 (2.09%)
country year num_pages_mentions_per_million_10y_avg - num_pages_mentions_per_million_10y_avg +
Africa 2023 NaN 9.198954
Asia 2023 NaN 8.071452
Europe 2023 NaN 94.556847
North America 2023 NaN 90.248093
South America 2023 NaN 12.959461
~ Column num_pages_tags_10y_avg (new data, changed data)
+ + New values: 7 / 287 (2.44%)
country year num_pages_tags_10y_avg
East Asia and Pacific (WB) 2023 26978.900391
Europe and Central Asia (WB) 2023 79961.601562
Latin America and Caribbean (WB) 2023 1675.000000
Middle East and North Africa (WB) 2023 3242.199951
Sub-Saharan Africa (WB) 2023 1646.900024
~ Changed values: 6 / 287 (2.09%)
country year num_pages_tags_10y_avg - num_pages_tags_10y_avg +
Africa 2023 NaN 2057.399902
Asia 2023 NaN 7582.299805
Europe 2023 NaN 79551.000000
North America 2023 NaN 21814.900391
South America 2023 NaN 974.799988
~ Column num_pages_tags_per_million_10y_avg (new data, changed data)
+ + New values: 7 / 287 (2.44%)
country year num_pages_tags_per_million_10y_avg
East Asia and Pacific (WB) 2023 NaN
Europe and Central Asia (WB) 2023 NaN
Latin America and Caribbean (WB) 2023 NaN
Middle East and North Africa (WB) 2023 NaN
Sub-Saharan Africa (WB) 2023 NaN
~ Changed values: 6 / 287 (2.09%)
country year num_pages_tags_per_million_10y_avg - num_pages_tags_per_million_10y_avg +
Africa 2023 NaN 1.608086
Asia 2023 NaN 1.656859
Europe 2023 NaN 106.710976
North America 2023 NaN 37.184952
South America 2023 NaN 2.304873
~ Column relative_pages_mentions_10y_avg (new data, changed data)
+ + New values: 7 / 287 (2.44%)
country year relative_pages_mentions_10y_avg
East Asia and Pacific (WB) 2023 33963.820312
Europe and Central Asia (WB) 2023 83020.070312
Latin America and Caribbean (WB) 2023 11450.106445
Middle East and North Africa (WB) 2023 16867.019531
Sub-Saharan Africa (WB) 2023 10027.191406
~ Changed values: 6 / 287 (2.09%)
country year relative_pages_mentions_10y_avg - relative_pages_mentions_10y_avg +
Africa 2023 NaN 13042.148438
Asia 2023 NaN 41471.054688
Europe 2023 NaN 79598.921875
North America 2023 NaN 58706.488281
South America 2023 NaN 6036.092285
~ Column relative_pages_mentions_excluded_10y_avg (new data, changed data)
+ + New values: 7 / 287 (2.44%)
country year relative_pages_mentions_excluded_10y_avg
East Asia and Pacific (WB) 2023 115423.789062
Europe and Central Asia (WB) 2023 43382.015625
Latin America and Caribbean (WB) 2023 19425.462891
Middle East and North Africa (WB) 2023 17389.333984
Sub-Saharan Africa (WB) 2023 21719.781250
~ Changed values: 6 / 287 (2.09%)
country year relative_pages_mentions_excluded_10y_avg - relative_pages_mentions_excluded_10y_avg +
Africa 2023 NaN 27091.259766
Asia 2023 NaN 31765.281250
Europe 2023 NaN 33510.812500
North America 2023 NaN 8789.740234
South America 2023 NaN 11426.056641
~ Column relative_pages_tags_10y_avg (new data, changed data)
+ + New values: 7 / 287 (2.44%)
country year relative_pages_tags_10y_avg
East Asia and Pacific (WB) 2023 31531.507812
Europe and Central Asia (WB) 2023 93896.148438
Latin America and Caribbean (WB) 2023 1840.644653
Middle East and North Africa (WB) 2023 3496.926514
Sub-Saharan Africa (WB) 2023 1774.110596
~ Changed values: 6 / 287 (2.09%)
country year relative_pages_tags_10y_avg - relative_pages_tags_10y_avg +
Africa 2023 NaN 2208.056396
Asia 2023 NaN 8369.182617
Europe 2023 NaN 93451.460938
North America 2023 NaN 24920.068359
South America 2023 NaN 1062.807251
~ Column relative_pages_tags_excluded_10y_avg (new data, changed data)
+ + New values: 7 / 287 (2.44%)
country year relative_pages_tags_excluded_10y_avg
East Asia and Pacific (WB) 2023 102888.976562
Europe and Central Asia (WB) 2023 8402.691406
Latin America and Caribbean (WB) 2023 3501.380859
Middle East and North Africa (WB) 2023 2669.532715
Sub-Saharan Africa (WB) 2023 4739.606445
~ Changed values: 6 / 287 (2.09%)
country year relative_pages_tags_excluded_10y_avg - relative_pages_tags_excluded_10y_avg +
Africa 2023 NaN 5586.509766
Asia 2023 NaN 5147.407715
Europe 2023 NaN 6903.607422
North America 2023 NaN 1341.687744
South America 2023 NaN 2266.781982
= Dataset garden/regions/2023-01-01/regions
= Table regions
~ Dim code
+ + New values: 7 / 312 (2.24%)
code
WB_EAP
WB_ECA
WB_LAC
WB_MENA
WB_SSA
~ Column aliases (new data)
+ + New values: 7 / 312 (2.24%)
code aliases
WB_EAP NaN
WB_ECA NaN
WB_LAC NaN
WB_MENA NaN
WB_SSA NaN
~ Column cow_code (new data)
+ + New values: 7 / 312 (2.24%)
code cow_code
WB_EAP <NA>
WB_ECA <NA>
WB_LAC <NA>
WB_MENA <NA>
WB_SSA <NA>
~ Column cow_letter (new data)
+ + New values: 7 / 312 (2.24%)
code cow_letter
WB_EAP NaN
WB_ECA NaN
WB_LAC NaN
WB_MENA NaN
WB_SSA NaN
~ Column defined_by (new data)
+ + New values: 7 / 312 (2.24%)
code defined_by
WB_EAP wb
WB_ECA wb
WB_LAC wb
WB_MENA wb
WB_SSA wb
~ Column end_year (new data)
+ + New values: 7 / 312 (2.24%)
code end_year
WB_EAP <NA>
WB_ECA <NA>
WB_LAC <NA>
WB_MENA <NA>
WB_SSA <NA>
~ Column imf_code (new data)
+ + New values: 7 / 312 (2.24%)
code imf_code
WB_EAP <NA>
WB_ECA <NA>
WB_LAC <NA>
WB_MENA <NA>
WB_SSA <NA>
~ Column is_historical (new data)
+ + New values: 7 / 312 (2.24%)
code is_historical
WB_EAP False
WB_ECA False
WB_LAC False
WB_MENA False
WB_SSA False
~ Column iso_alpha2 (new data)
+ + New values: 7 / 312 (2.24%)
code iso_alpha2
WB_EAP NaN
WB_ECA NaN
WB_LAC NaN
WB_MENA NaN
WB_SSA NaN
~ Column iso_alpha3 (new data)
+ + New values: 7 / 312 (2.24%)
code iso_alpha3
WB_EAP NaN
WB_ECA NaN
WB_LAC NaN
WB_MENA NaN
WB_SSA NaN
~ Column kansas_code (new data)
+ + New values: 7 / 312 (2.24%)
code kansas_code
WB_EAP NaN
WB_ECA NaN
WB_LAC NaN
WB_MENA NaN
WB_SSA NaN
~ Column legacy_country_id (new data)
+ + New values: 7 / 312 (2.24%)
code legacy_country_id
WB_EAP <NA>
WB_ECA <NA>
WB_LAC <NA>
WB_MENA <NA>
WB_SSA <NA>
~ Column legacy_entity_id (new data)
+ + New values: 7 / 312 (2.24%)
code legacy_entity_id
WB_EAP <NA>
WB_ECA <NA>
WB_LAC <NA>
WB_MENA <NA>
WB_SSA <NA>
~ Column marc_code (new data)
+ + New values: 7 / 312 (2.24%)
code marc_code
WB_EAP NaN
WB_ECA NaN
WB_LAC NaN
WB_MENA NaN
WB_SSA NaN
~ Column members (new data)
+ + New values: 7 / 312 (2.24%)
code members
WB_EAP ["ASM", "AUS", "BRN", "CCK", "CHN", "COK", "CXR", "FJI", "FSM", "GUM", "HKG", "IDN", "JPN", "KHM", "KIR", "KOR", "LAO", "MAC", "MHL", "MMR", "MNG", "MNP", "MYS", "NCL", "NFK", "NIU", "NRU", "NZL", "OWID_DRV", "OWID_KRU", "OWID_RVN", "PCN", "PHL", "PLW", "PNG", "PRK", "PYF", "SGP", "SLB", "THA", "TKL", "TLS", "TON", "TUV", "TWN", "UMI", "VNM", "VUT", "WLF", "WSM"]
WB_ECA ["AIA", "ALA", "ALB", "AND", "ANT", "ARM", "AUT", "AZE", "BEL", "BES", "BGR", "BIH", "BLM", "BLR", "CHE", "CYP", "CZE", "DEU", "DNK", "ESP", "EST", "FIN", "FRA", "FRO", "GBR", "GEO", "GGY", "GIB", "GLP", "GRC", "GRL", "GUF", "HRV", "HUN", "IMN", "IRL", "ISL", "ITA", "JEY", "KAZ", "KGZ", "LIE", "LTU", "LUX", "LVA", "MCO", "MDA", "MKD", "MNE", "MSR", "MTQ", "MYT", "NLD", "NOR", "OWID_AUH", "OWID_BAD", "OWID_BAV", "OWID_CYN", "OWID_CZS", "OWID_DSI", "OWID_GDR", "OWID_GFR", "OWID_KOS", "OWID_MOD", "OWID_PAR", "OWID_TSC", "OWID_SAR", "OWID_SAX", "OWID_SEK", "OWID_SRM", "OWID_USS", "OWID_WTB", "OWID_YGS", "POL", "PRT", "REU", "ROU", "RUS", "SHN", "SMR", "SRB", "SVK", "SVN", "SWE", "TJK", "TKM", "TUR", "UKR", "UZB", "VAT"]
WB_LAC ["ABW", "ARG", "ATG", "BHS", "BLZ", "BOL", "BRA", "BRB", "CHL", "COL", "CRI", "CUB", "CUW", "CYM", "DMA", "DOM", "ECU", "FLK", "GRD", "GTM", "GUY", "HND", "HTI", "JAM", "KNA", "LCA", "MAF", "MEX", "NIC", "OWID_GCL", "OWID_RCA", "PAN", "PER", "PRI", "PRY", "SGS", "SLV", "SUR", "SXM", "TCA", "TTO", "URY", "VCT", "VEN", "VGB", "VIR"]
WB_MENA ["ARE", "BHR", "DJI", "DZA", "EGY", "ESH", "IRN", "IRQ", "ISR", "JOR", "KWT", "LBN", "LBY", "MAR", "MLT", "OMN", "OWID_YAR", "OWID_YPR", "PSE", "QAT", "SAU", "SYR", "TUN", "YEM"]
WB_SSA ["AGO", "BDI", "BEN", "BFA", "BWA", "CAF", "CIV", "CMR", "COD", "COG", "COM", "CPV", "ERI", "ETH", "GAB", "GHA", "GIN", "GMB", "GNB", "GNQ", "KEN", "LBR", "LSO", "MDG", "MLI", "MOZ", "MRT", "MUS", "MWI", "NAM", "NER", "NGA", "OWID_ERE", "OWID_OFS", "RWA", "SDN", "SEN", "SLE", "SOM", "SSD", "STP", "SWZ", "SYC", "TCD", "TGO", "TZA", "UGA", "ZAF", "ZMB", "ZWE"]
~ Column name (new data)
+ + New values: 7 / 312 (2.24%)
code name
WB_EAP East Asia and Pacific (WB)
WB_ECA Europe and Central Asia (WB)
WB_LAC Latin America and Caribbean (WB)
WB_MENA Middle East and North Africa (WB)
WB_SSA Sub-Saharan Africa (WB)
~ Column ncd_code (new data)
+ + New values: 7 / 312 (2.24%)
code ncd_code
WB_EAP NaN
WB_ECA NaN
WB_LAC NaN
WB_MENA NaN
WB_SSA NaN
~ Column penn_code (new data)
+ + New values: 7 / 312 (2.24%)
code penn_code
WB_EAP NaN
WB_ECA NaN
WB_LAC NaN
WB_MENA NaN
WB_SSA NaN
~ Column region_type (new data)
+ + New values: 7 / 312 (2.24%)
code region_type
WB_EAP aggregate
WB_ECA aggregate
WB_LAC aggregate
WB_MENA aggregate
WB_SSA aggregate
~ Column related (new data)
+ + New values: 7 / 312 (2.24%)
code related
WB_EAP NaN
WB_ECA NaN
WB_LAC NaN
WB_MENA NaN
WB_SSA NaN
~ Column short_name (new data)
+ + New values: 7 / 312 (2.24%)
code short_name
WB_EAP East Asia and Pacific (WB)
WB_ECA Europe and Central Asia (WB)
WB_LAC Latin America and Caribbean (WB)
WB_MENA Middle East and North Africa (WB)
WB_SSA Sub-Saharan Africa (WB)
~ Column successors (new data)
+ + New values: 7 / 312 (2.24%)
code successors
WB_EAP NaN
WB_ECA NaN
WB_LAC NaN
WB_MENA NaN
WB_SSA NaN
~ Column unctad_code (new data)
+ + New values: 7 / 312 (2.24%)
code unctad_code
WB_EAP NaN
WB_ECA NaN
WB_LAC NaN
WB_MENA NaN
WB_SSA NaN
~ Column wikidata_code (new data)
+ + New values: 7 / 312 (2.24%)
code wikidata_code
WB_EAP NaN
WB_ECA NaN
WB_LAC NaN
WB_MENA NaN
WB_SSA NaN
Legend: +New ~Modified -Removed =Identical Details
Hint: Run this locally with etl diff REMOTE data/ --include yourdataset --verbose --snippetAutomatically updated datasets matching weekly_wildfires|excess_mortality|covid|fluid|flunet|country_profile|garden/ihme_gbd/2019/gbd_risk are not included Edited: 2024-07-12 07:31:05 UTC |
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Tracking issue
Adding values for OWID & WB regions.