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chore: update goldens for nodejs query #5812

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a92ff2e
chore: update goldens for nodejs query
rohitkumarbhagat Dec 8, 2025
1a04281
updated timeline_all.json
rohitkumarbhagat Dec 8, 2025
b48f66b
Merge branch 'master' into update-nodejs-query-goldens
rohitkumarbhagat Dec 9, 2025
141640b
Merge branch 'master' into update-nodejs-query-goldens
clincoln8 Dec 10, 2025
0813aff
Merge branch 'master' into update-nodejs-query-goldens
clincoln8 Dec 11, 2025
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6 changes: 3 additions & 3 deletions tools/nl/nodejs_query_differ/goldens/autopush/bar.json
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Original file line number Diff line number Diff line change
@@ -1,7 +1,7 @@
{
"charts": [
{
"dataCsv": "label,Santa Clara County\r\nHealth Care and Social Assistance Industry Workers,164195\r\n\"Professional, Scientific, and Technical Services Workers\",161462\r\nManufacturing Workers,122912\r\nInformation Industry Workers,92743\r\nEducational Services Industry Workers,85685\r\nAccommodation/Food Industry Workers,81548\r\nRetail Trade Workers,70145\r\nPopulation Working in the Management of Companies and Enterprises Industry,61130\r\nAdmin / Waste Management Service Industry Workers,57588\r\nPopulation Working in the Construction Industry,51647\r\nPublic Administration Workers,28471\r\nWholesale Trade Workers,27691\r\nOther Services (except Public Admin) Workers,25719\r\nFinance and Insurance Industry Workers,20644\r\n\"Arts, Entertainment, Recreation Industry Workers\",20376\r\nTransportation And Warehousing Workers,19322\r\nReal Estate and Rental and Leasing Workers,15389\r\nUtilities Workers,3582\r\n\"Agriculture, Forestry, Fishing, Hunting Workers\",2998\r\nUnclassified Workers,225\r\n\"Mining, Quarrying, Oil and Gas Extraction Industry Workers\",149",
"dataCsv": "label,Santa Clara County\r\nHealth Care and Social Assistance Industry Workers,170761\r\n\"Professional, Scientific, and Technical Services Workers\",155379\r\nManufacturing Workers,124092\r\nInformation Industry Workers,95573\r\nEducational Services Industry Workers,89994\r\nAccommodation/Food Industry Workers,82929\r\nRetail Trade Workers,69613\r\nPopulation Working in the Management of Companies and Enterprises Industry,57396\r\nAdmin / Waste Management Service Industry Workers,54523\r\nPopulation Working in the Construction Industry,49874\r\nPublic Administration Workers,27805\r\nWholesale Trade Workers,26859\r\nOther Services (except Public Admin) Workers,26416\r\nFinance and Insurance Industry Workers,20068\r\nTransportation And Warehousing Workers,19283\r\n\"Arts, Entertainment, Recreation Industry Workers\",19028\r\nReal Estate and Rental and Leasing Workers,15158\r\nUtilities Workers,3681\r\n\"Agriculture, Forestry, Fishing, Hunting Workers\",2743\r\nUnclassified Workers,679\r\n\"Mining, Quarrying, Oil and Gas Extraction Industry Workers\",138",
"placeType": "City",
"places": [
"geoId/06085"
Expand All @@ -27,15 +27,15 @@
"Wholesale Trade Workers",
"Other Services (except Public Admin) Workers",
"Finance and Insurance Industry Workers",
"Arts, Entertainment, Recreation Industry Workers",
"Transportation And Warehousing Workers",
"Arts, Entertainment, Recreation Industry Workers",
"Real Estate and Rental and Leasing Workers",
"Utilities Workers",
"Agriculture, Forestry, Fishing, Hunting Workers",
"Unclassified Workers",
"Mining, Quarrying, Oil and Gas Extraction Industry Workers"
],
"title": "Categories of Jobs in Santa Clara County (Jan, 2024 to Mar, 2024)",
"title": "Categories of Jobs in Santa Clara County (Mar, 2025)",
"type": "BAR",
"unit": "",
"vars": [
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4 changes: 2 additions & 2 deletions tools/nl/nodejs_query_differ/goldens/autopush/map_rank.json
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Expand Up @@ -22,7 +22,7 @@
"chartUrl": ""
},
{
"dataCsv": "label,Prevalence of Obesity\r\n2022,28.376914631938966\r\n2021,28.7622100905209\r\n2020,28.991059890577457\r\n2018,26.538281101665365\r\n2017,24.74933215552956\r\n2016,24.878941888621984\r\n2015,24.359457072888013\r\n2014,24.726810930702747",
"dataCsv": "label,Prevalence of Obesity\r\n2022,28.369354377079773\r\n2021,28.76221009052088\r\n2020,28.988876664128803\r\n2018,26.533458367011416\r\n2017,24.749332155529576\r\n2016,24.878941888621963\r\n2015,24.359457072888013\r\n2014,24.726810930702737",
"legend": [
"Prevalence of Obesity"
],
Expand All @@ -43,7 +43,7 @@
],
"highlight": {
"date": "2022",
"value": 28.376914631938966
"value": 28.369354377079773
},
"chartUrl": "",
"dcUrl": "https://datacommons.org/explore#q=counties%20in%20california%20with%20highest%20obesity"
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