update nodejs goldens (#4685)

goldens needed to be updated because of a bunch of recent data updates (data diffs can be seen here: datacommonsorg/mixer#1438, datacommonsorg/mixer#1439)
datacommonsorg · Oct 22, 2024 · 4ef8962 · 4ef8962
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diff --git a/tools/nl/nodejs_query_differ/goldens/autopush/bar.json b/tools/nl/nodejs_query_differ/goldens/autopush/bar.json
@@ -1,7 +1,7 @@
 {
   "charts": [
     {
-      "data_csv": "label,Santa Clara County\r\nManufacturing Workers,174771\r\n\"Professional, Scientific, and Technical Services Workers\",159638\r\nHealth Care and Social Assistance Industry Workers,158680\r\nInformation Industry Workers,94952\r\nAccommodation/Food Industry Workers,82693\r\nEducational Services Industry Workers,81751\r\nRetail Trade Workers,71546\r\nAdmin / Waste Management Service Industry Workers,61064\r\nPopulation Working in the Construction Industry,53530\r\nWholesale Trade Workers,27966\r\nPublic Administration Workers,27567\r\nOther Services (except Public Admin) Workers,25048\r\nFinance and Insurance Industry Workers,21380\r\nTransportation And Warehousing Workers,20858\r\n\"Arts, Entertainment, Recreation Industry Workers\",20834\r\nReal Estate and Rental and Leasing Workers,15480\r\nPopulation Working in the Management of Companies and Enterprises Industry,14705\r\nUtilities Workers,3496\r\n\"Agriculture, Forestry, Fishing, Hunting Workers\",3042\r\nUnclassified Workers,809\r\n\"Mining, Quarrying, Oil and Gas Extraction Industry Workers\",150",
+      "data_csv": "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",
       "placeType": "City",
       "places": [
         "geoId/06085"
@@ -13,29 +13,29 @@
         }
       ],
       "legend": [
-        "Manufacturing Workers",
-        "Professional, Scientific, and Technical Services Workers",
         "Health Care and Social Assistance Industry Workers",
+        "Professional, Scientific, and Technical Services Workers",
+        "Manufacturing Workers",
         "Information Industry Workers",
-        "Accommodation/Food Industry Workers",
         "Educational Services Industry Workers",
+        "Accommodation/Food Industry Workers",
         "Retail Trade Workers",
+        "Population Working in the Management of Companies and Enterprises Industry",
         "Admin / Waste Management Service Industry Workers",
         "Population Working in the Construction Industry",
-        "Wholesale Trade Workers",
         "Public Administration Workers",
+        "Wholesale Trade Workers",
         "Other Services (except Public Admin) Workers",
         "Finance and Insurance Industry Workers",
-        "Transportation And Warehousing Workers",
         "Arts, Entertainment, Recreation Industry Workers",
+        "Transportation And Warehousing Workers",
         "Real Estate and Rental and Leasing Workers",
-        "Population Working in the Management of Companies and Enterprises Industry",
         "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 (Sep, 2023)",
+      "title": "Categories of Jobs in Santa Clara County (Jan, 2024 to Mar, 2024)",
       "type": "BAR",
       "unit": "",
       "vars": [

diff --git a/tools/nl/nodejs_query_differ/goldens/autopush/map_rank.json b/tools/nl/nodejs_query_differ/goldens/autopush/map_rank.json
@@ -1,7 +1,7 @@
 {
   "charts": [
     {
-      "data_csv": "rank,place,Prevalence of Obesity\r\n1,San Bernardino County,38.1\r\n2,Imperial County,38\r\n3,Fresno County,36.8\r\n4,Kern County,36.6\r\n5,Riverside County,36.2\r\n6,Madera County,35.9\r\n7,Tulare County,35.5\r\n8,Kings County,35.1\r\n9,Stanislaus County,34.8\r\n10,Tehama County,34.2",
+      "data_csv": "rank,place,Prevalence of Obesity\r\n1,Fresno County,39\r\n2,Imperial County,38.5\r\n3,Tulare County,38\r\n4,Kern County,35.9\r\n5,Madera County,35.2\r\n6,San Bernardino County,35.1\r\n7,Stanislaus County,34.7\r\n8,Merced County,34.5\r\n9,Glenn County,34.1\r\n10,Riverside County,34",
       "placeType": "County",
       "places": [
         "geoId/06"
@@ -12,7 +12,7 @@
           "url": "https://www.cdc.gov/places/index.html"
         }
       ],
-      "title": "Prevalence of Obesity in Counties of California (2021)",
+      "title": "Prevalence of Obesity in Counties of California (2022)",
       "type": "TABLE",
       "unit": "%",
       "vars": [
@@ -22,7 +22,7 @@
       "chartUrl": ""
     },
     {
-      "data_csv": "label,Prevalence of Obesity\r\n2021,28.7630009388167\r\n2020,29.0011697264701\r\n2018,26.5610266256205\r\n2017,24.7490113165035\r\n2016,24.8973586521783\r\n2015,24.3597558272971\r\n2014,24.7177574137183",
+      "data_csv": "label,Prevalence of Obesity\r\n2022,28.3282038770148\r\n2021,28.7491989947528\r\n2020,28.9606745009575\r\n2018,26.5610266256205\r\n2017,24.7490113165035\r\n2016,24.8973586521783\r\n2015,24.3597558272971\r\n2014,24.7177574137183",
       "legend": [
         "Prevalence of Obesity"
       ],
@@ -42,8 +42,8 @@
         "Percent_Person_Obesity"
       ],
       "highlight": {
-        "date": "2021",
-        "value": 28.7630009388167
+        "date": "2022",
+        "value": 28.3282038770148
       },
       "chartUrl": "",
       "dcUrl": "https://datacommons.org/explore#q=counties%20in%20california%20with%20highest%20obesity"

diff --git a/tools/nl/nodejs_query_differ/goldens/autopush/scatter.json b/tools/nl/nodejs_query_differ/goldens/autopush/scatter.json
@@ -1,7 +1,7 @@
 {
   "charts": [
     {
-      "data_csv": "placeName,placeDcid,xDate,xValue-Count_Person_BelowPovertyLevelInThePast12Months,yDate,yValue-Percent_Person_Obesity\r\n\"Alameda County, CA\",geoId/06001,2022,149843,2021,24.8\r\n\"Alpine County, CA\",geoId/06003,2022,208,2021,29.1\r\n\"Amador County, CA\",geoId/06005,2022,2945,2021,29.6\r\n\"Butte County, CA\",geoId/06007,2022,38015,2021,31\r\n\"Calaveras County, CA\",geoId/06009,2022,5915,2021,30.6\r\n\"Colusa County, CA\",geoId/06011,2022,2364,2021,33.4\r\n\"Contra Costa County, CA\",geoId/06013,2022,95255,2021,24.3\r\n\"Del Norte County, CA\",geoId/06015,2022,3585,2021,32.7\r\n\"El Dorado County, CA\",geoId/06017,2022,16364,2021,28.1\r\n\"Fresno County, CA\",geoId/06019,2022,193675,2021,36.8\r\n\"Glenn County, CA\",geoId/06021,2022,4335,2021,31.8\r\n\"Humboldt County, CA\",geoId/06023,2022,26394,2021,33.2\r\n\"Imperial County, CA\",geoId/06025,2022,36092,2021,38\r\n\"Inyo County, CA\",geoId/06027,2022,2199,2021,29.4\r\n\"Kern County, CA\",geoId/06029,2022,170013,2021,36.6\r\n\"Kings County, CA\",geoId/06031,2022,22634,2021,35.1\r\n\"Lake County, CA\",geoId/06033,2022,11065,2021,33.7\r\n\"Lassen County, CA\",geoId/06035,2022,3645,2021,32.1\r\n\"Los Angeles County, CA\",geoId/06037,2022,1343978,2021,28.5\r\n\"Madera County, CA\",geoId/06039,2022,30154,2021,35.9\r\n\"Marin County, CA\",geoId/06041,2022,17809,2021,22.9\r\n\"Mariposa County, CA\",geoId/06043,2022,2712,2021,30\r\n\"Mendocino County, CA\",geoId/06045,2022,14483,2021,31.5\r\n\"Merced County, CA\",geoId/06047,2022,51272,2021,33\r\n\"Modoc County, CA\",geoId/06049,2022,1430,2021,33.1\r\n\"Mono County, CA\",geoId/06051,2022,1478,2021,29.6\r\n\"Monterey County, CA\",geoId/06053,2022,51913,2021,27.5\r\n\"Napa County, CA\",geoId/06055,2022,10620,2021,28\r\n\"Nevada County, CA\",geoId/06057,2022,10505,2021,27.5\r\n\"Orange County, CA\",geoId/06059,2022,303810,2021,25.3\r\n\"Placer County, CA\",geoId/06061,2022,27446,2021,26.3\r\n\"Plumas County, CA\",geoId/06063,2022,2101,2021,29.5\r\n\"Riverside County, CA\",geoId/06065,2022,272432,2021,36.2\r\n\"Sacramento County, CA\",geoId/06067,2022,204388,2021,31.7\r\n\"San Benito County, CA\",geoId/06069,2022,4832,2021,31\r\n\"San Bernardino County, CA\",geoId/06071,2022,294246,2021,38.1\r\n\"San Diego County, CA\",geoId/06073,2022,338752,2021,23.9\r\n\"San Francisco County, CA\",geoId/06075,2022,87849,2021,18.7\r\n\"San Joaquin County, CA\",geoId/06077,2022,98352,2021,33.3\r\n\"San Luis Obispo County, CA\",geoId/06079,2022,33728,2021,30.5\r\n\"San Mateo County, CA\",geoId/06081,2022,48137,2021,21\r\n\"Santa Barbara County, CA\",geoId/06083,2022,57513,2021,30.1\r\n\"Santa Clara County, CA\",geoId/06085,2022,129834,2021,18.5\r\n\"Santa Cruz County, CA\",geoId/06087,2022,29302,2021,25.2\r\n\"Shasta County, CA\",geoId/06089,2022,23753,2021,30.9\r\n\"Sierra County, CA\",geoId/06091,2022,359,2021,29.8\r\n\"Siskiyou County, CA\",geoId/06093,2022,7289,2021,32.8\r\n\"Solano County, CA\",geoId/06095,2022,39705,2021,29.9\r\n\"Sonoma County, CA\",geoId/06097,2022,42925,2021,28.6\r\n\"Stanislaus County, CA\",geoId/06099,2022,75125,2021,34.8\r\n\"Sutter County, CA\",geoId/06101,2022,13065,2021,31.6\r\n\"Tehama County, CA\",geoId/06103,2022,10483,2021,34.2\r\n\"Trinity County, CA\",geoId/06105,2022,3457,2021,33\r\n\"Tulare County, CA\",geoId/06107,2022,86391,2021,35.5\r\n\"Tuolumne County, CA\",geoId/06109,2022,5887,2021,29.5\r\n\"Ventura County, CA\",geoId/06111,2022,74315,2021,27\r\n\"Yolo County, CA\",geoId/06113,2022,36521,2021,27.8\r\n\"Yuba County, CA\",geoId/06115,2022,12375,2021,33.9",
+      "data_csv": "placeName,placeDcid,xDate,xValue-Count_Person_BelowPovertyLevelInThePast12Months,yDate,yValue-Percent_Person_Obesity\r\n\"Alameda County, CA\",geoId/06001,2022,149843,2022,19.4\r\n\"Alpine County, CA\",geoId/06003,2022,208,2022,29.9\r\n\"Amador County, CA\",geoId/06005,2022,2945,2022,27.3\r\n\"Butte County, CA\",geoId/06007,2022,38015,2022,31.5\r\n\"Calaveras County, CA\",geoId/06009,2022,5915,2022,29.4\r\n\"Colusa County, CA\",geoId/06011,2022,2364,2022,32.2\r\n\"Contra Costa County, CA\",geoId/06013,2022,95255,2022,28.4\r\n\"Del Norte County, CA\",geoId/06015,2022,3585,2022,33.8\r\n\"El Dorado County, CA\",geoId/06017,2022,16364,2022,24.8\r\n\"Fresno County, CA\",geoId/06019,2022,193675,2022,39\r\n\"Glenn County, CA\",geoId/06021,2022,4335,2022,34.1\r\n\"Humboldt County, CA\",geoId/06023,2022,26394,2022,33.1\r\n\"Imperial County, CA\",geoId/06025,2022,36092,2022,38.5\r\n\"Inyo County, CA\",geoId/06027,2022,2199,2022,29.9\r\n\"Kern County, CA\",geoId/06029,2022,170013,2022,35.9\r\n\"Kings County, CA\",geoId/06031,2022,22634,2022,31.9\r\n\"Lake County, CA\",geoId/06033,2022,11065,2022,30.7\r\n\"Lassen County, CA\",geoId/06035,2022,3645,2022,32.8\r\n\"Los Angeles County, CA\",geoId/06037,2022,1343978,2022,26.2\r\n\"Madera County, CA\",geoId/06039,2022,30154,2022,35.2\r\n\"Marin County, CA\",geoId/06041,2022,17809,2022,23.5\r\n\"Mariposa County, CA\",geoId/06043,2022,2712,2022,32.3\r\n\"Mendocino County, CA\",geoId/06045,2022,14483,2022,29.4\r\n\"Merced County, CA\",geoId/06047,2022,51272,2022,34.5\r\n\"Modoc County, CA\",geoId/06049,2022,1430,2022,30\r\n\"Mono County, CA\",geoId/06051,2022,1478,2022,29.1\r\n\"Monterey County, CA\",geoId/06053,2022,51913,2022,32.8\r\n\"Napa County, CA\",geoId/06055,2022,10620,2022,28.7\r\n\"Nevada County, CA\",geoId/06057,2022,10505,2022,29.9\r\n\"Orange County, CA\",geoId/06059,2022,303810,2022,25.7\r\n\"Placer County, CA\",geoId/06061,2022,27446,2022,25.8\r\n\"Plumas County, CA\",geoId/06063,2022,2101,2022,29.1\r\n\"Riverside County, CA\",geoId/06065,2022,272432,2022,34\r\n\"Sacramento County, CA\",geoId/06067,2022,204388,2022,33.9\r\n\"San Benito County, CA\",geoId/06069,2022,4832,2022,29.1\r\n\"San Bernardino County, CA\",geoId/06071,2022,294246,2022,35.1\r\n\"San Diego County, CA\",geoId/06073,2022,338752,2022,25.4\r\n\"San Francisco County, CA\",geoId/06075,2022,87849,2022,17.7\r\n\"San Joaquin County, CA\",geoId/06077,2022,98352,2022,33.8\r\n\"San Luis Obispo County, CA\",geoId/06079,2022,33728,2022,28.2\r\n\"San Mateo County, CA\",geoId/06081,2022,48137,2022,21.4\r\n\"Santa Barbara County, CA\",geoId/06083,2022,57513,2022,31.6\r\n\"Santa Clara County, CA\",geoId/06085,2022,129834,2022,22\r\n\"Santa Cruz County, CA\",geoId/06087,2022,29302,2022,29.4\r\n\"Shasta County, CA\",geoId/06089,2022,23753,2022,28.7\r\n\"Sierra County, CA\",geoId/06091,2022,359,2022,31.3\r\n\"Siskiyou County, CA\",geoId/06093,2022,7289,2022,32.9\r\n\"Solano County, CA\",geoId/06095,2022,39705,2022,32.8\r\n\"Sonoma County, CA\",geoId/06097,2022,42925,2022,28.3\r\n\"Stanislaus County, CA\",geoId/06099,2022,75125,2022,34.7\r\n\"Sutter County, CA\",geoId/06101,2022,13065,2022,32\r\n\"Tehama County, CA\",geoId/06103,2022,10483,2022,32.5\r\n\"Trinity County, CA\",geoId/06105,2022,3457,2022,32.4\r\n\"Tulare County, CA\",geoId/06107,2022,86391,2022,38\r\n\"Tuolumne County, CA\",geoId/06109,2022,5887,2022,31\r\n\"Ventura County, CA\",geoId/06111,2022,74315,2022,28.9\r\n\"Yolo County, CA\",geoId/06113,2022,36521,2022,28.5\r\n\"Yuba County, CA\",geoId/06115,2022,12375,2022,32.6",
       "placeType": "County",
       "places": [
         "geoId/06"
@@ -16,7 +16,7 @@
           "url": "https://www.cdc.gov/places/index.html"
         }
       ],
-      "title": "Prevalence of Obesity (2021) Vs. Population Below Poverty Line (2022) in Counties of California",
+      "title": "Prevalence of Obesity (2022) Vs. Population Below Poverty Line (2022) in Counties of California",
       "type": "SCATTER",
       "vars": [
         "Percent_Person_Obesity",
@@ -26,7 +26,7 @@
       "dcUrl": "https://datacommons.org/explore#q=obesity%20vs.%20poverty%20in%20counties%20of%20california"
     },
     {
-      "data_csv": "rank,place,Prevalence of Obesity\r\n1,San Bernardino County,38.1\r\n2,Imperial County,38\r\n3,Fresno County,36.8\r\n4,Kern County,36.6\r\n5,Riverside County,36.2\r\n54,San Diego County,23.9\r\n55,Marin County,22.9\r\n56,San Mateo County,21\r\n57,San Francisco County,18.7\r\n58,Santa Clara County,18.5",
+      "data_csv": "rank,place,Prevalence of Obesity\r\n1,Fresno County,39\r\n2,Imperial County,38.5\r\n3,Tulare County,38\r\n4,Kern County,35.9\r\n5,Madera County,35.2\r\n54,Marin County,23.5\r\n55,Santa Clara County,22\r\n56,San Mateo County,21.4\r\n57,Alameda County,19.4\r\n58,San Francisco County,17.7",
       "placeType": "County",
       "places": [
         "geoId/06"
@@ -37,7 +37,7 @@
           "url": "https://www.cdc.gov/places/index.html"
         }
       ],
-      "title": "Prevalence of Obesity in Counties of California (2021)",
+      "title": "Prevalence of Obesity in Counties of California (2022)",
       "type": "TABLE",
       "unit": "%",
       "vars": [