diff --git a/scripts/us_bea/states_gdp/import_data.py b/scripts/us_bea/states_gdp/import_data.py index ed76098b57..67a5c6183c 100644 --- a/scripts/us_bea/states_gdp/import_data.py +++ b/scripts/us_bea/states_gdp/import_data.py @@ -52,13 +52,14 @@ class StateGDPDataLoader: 'West Virginia', 'Wisconsin', 'Wyoming' ] _ZIP_LINK = 'https://apps.bea.gov/regional/zip/SQGDP.zip' - _STATE_QUARTERLY_GDP_FILE = 'SQGDP1__ALL_AREAS_2005_2020.csv' + _STATE_QUARTERLY_GDP_FILE = 'SQGDP1__ALL_AREAS_2005_2023.csv' _QUARTER_MONTH_MAP = {'Q1': '03', 'Q2': '06', 'Q3': '09', 'Q4': '12'} def __init__(self): """Initializes instance, assigning member data frames to None.""" self.raw_df = None self.clean_df = None + self.clean_df1 = None def download_data(self, zip_link=None, file=None): """Downloads ZIP file, extracts the desired CSV, and puts it into a data diff --git a/scripts/us_bea/states_gdp/import_industry_data_and_gen_mcf.py b/scripts/us_bea/states_gdp/import_industry_data_and_gen_mcf.py index 0749f9471a..83a5fdfc7d 100644 --- a/scripts/us_bea/states_gdp/import_industry_data_and_gen_mcf.py +++ b/scripts/us_bea/states_gdp/import_industry_data_and_gen_mcf.py @@ -44,7 +44,7 @@ class StateGDPIndustryDataLoader(import_data.StateGDPDataLoader): Attributes: df: DataFrame (DF) with the cleaned data. """ - _STATE_QUARTERLY_INDUSTRY_GDP_FILE = 'SQGDP2__ALL_AREAS_2005_2020.csv' + _STATE_QUARTERLY_INDUSTRY_GDP_FILE = 'SQGDP2__ALL_AREAS_2005_2023.csv' def download_data(self, zip_link=None, file=None): """Downloads ZIP file, extracts the desired CSV, and puts it into a data @@ -91,7 +91,6 @@ def process_data(self, raw_data=None): df['GeoId'] = df['GeoFIPS'].apply(self.convert_geoid) df = df[df['IndustryClassification'] != '...'] - df['NAICS'] = df['IndustryClassification'].apply( self.convert_industry_class) df['value'] = df['value'].apply(self.value_converter) @@ -99,6 +98,9 @@ def process_data(self, raw_data=None): # Convert from millions of current USD to current USD. df['value'] *= 1000000 + # Creating a DataFrame for the MCF generation. + self.clean_df1 = df.copy() + df['NAICS'] = df["NAICS"].str.replace('-', '_') self.clean_df = df.drop(['GeoFIPS', 'IndustryClassification'], axis=1) @staticmethod @@ -120,7 +122,7 @@ def convert_industry_class(naics_code): Commons codes. """ if isinstance(naics_code, str): - naics_code = naics_code.replace('-', '_').replace(',', '&') + naics_code = naics_code.replace(',', '_') return f"dcs:USStateQuarterlyIndustryGDP_NAICS_{naics_code}" def save_csv(self, filename='states_industry_gdp.csv'): @@ -141,14 +143,15 @@ def generate_mcf(self): 'activitySource: dcs:GrossDomesticProduction\n' 'measuredProperty: dcs:amount\n' 'measurementQualifier: dcs:Nominal\n' + 'statType: dcs:measuredValue\n' 'naics: dcid:NAICS/{naics}\n\n') with open('states_gdp_industry_statvars.mcf', 'w') as mcf_f: - for naics_code in self.clean_df['NAICS'].unique(): - code_title = naics_code[38:] - code = code_title.replace('_', '-') - code = code.replace('&', '&NAICS/') - mcf_f.write(mcf_temp.format(title=code_title, naics=code)) + for naics_code in self.clean_df1['NAICS'].unique(): + code_title = naics_code[38:].replace('-', '_') + naics_title = naics_code[38:] + mcf_f.write(mcf_temp.format(title=code_title, + naics=naics_title)) def main(_): diff --git a/scripts/us_bea/states_gdp/states_gdp.csv b/scripts/us_bea/states_gdp/states_gdp.csv index 6b2d1ee58e..8cb54eba24 100644 --- a/scripts/us_bea/states_gdp/states_gdp.csv +++ b/scripts/us_bea/states_gdp/states_gdp.csv @@ -1,3112 +1,3724 @@ -,Quarter,GeoId,chained_2012_dollars,quantity_index,current_dollars -0,2005-03,geoId/01,179355500000.0,96.273,152640800000.0 -3,2005-03,geoId/02,44760500000.0,77.615,37377700000.0 -6,2005-03,geoId/04,255921400000.0,95.39,219858100000.0 -9,2005-03,geoId/05,103203500000.0,94.904,87649000000.0 -12,2005-03,geoId/06,1959066500000.0,91.353,1711573300000.0 -15,2005-03,geoId/08,249467800000.0,91.207,215478200000.0 -18,2005-03,geoId/09,240783500000.0,98.762,205719400000.0 -21,2005-03,geoId/10,59167000000.0,95.468,51061600000.0 -24,2005-03,geoId/11,99815700000.0,88.539,84079400000.0 -27,2005-03,geoId/12,793185800000.0,103.104,678910100000.0 -30,2005-03,geoId/13,442264900000.0,99.58,381335400000.0 -33,2005-03,geoId/15,67652100000.00001,91.94,57279900000.0 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measuredProperty: dcs:amount measurementQualifier: dcs:Nominal +statType: dcs:measuredValue naics: dcid:NAICS/22 Node: dcid:USStateQuarterlyIndustryGDP_NAICS_23 @@ -28,6 +31,7 @@ populationType: dcs:EconomicActivity activitySource: dcs:GrossDomesticProduction measuredProperty: dcs:amount measurementQualifier: dcs:Nominal +statType: dcs:measuredValue naics: dcid:NAICS/23 Node: dcid:USStateQuarterlyIndustryGDP_NAICS_31_33 @@ -36,23 +40,26 @@ populationType: dcs:EconomicActivity activitySource: dcs:GrossDomesticProduction measuredProperty: dcs:amount measurementQualifier: dcs:Nominal +statType: dcs:measuredValue naics: dcid:NAICS/31-33 -Node: dcid:USStateQuarterlyIndustryGDP_NAICS_321&327_339 +Node: dcid:USStateQuarterlyIndustryGDP_NAICS_321_327_339 typeOf: dcs:StatisticalVariable populationType: dcs:EconomicActivity activitySource: dcs:GrossDomesticProduction measuredProperty: dcs:amount measurementQualifier: dcs:Nominal -naics: dcid:NAICS/321&NAICS/327-339 +statType: dcs:measuredValue +naics: dcid:NAICS/321_327-339 -Node: dcid:USStateQuarterlyIndustryGDP_NAICS_311_316&322_326 +Node: dcid:USStateQuarterlyIndustryGDP_NAICS_311_316_322_326 typeOf: dcs:StatisticalVariable populationType: dcs:EconomicActivity activitySource: dcs:GrossDomesticProduction measuredProperty: dcs:amount measurementQualifier: dcs:Nominal -naics: dcid:NAICS/311-316&NAICS/322-326 +statType: dcs:measuredValue +naics: dcid:NAICS/311-316_322-326 Node: dcid:USStateQuarterlyIndustryGDP_NAICS_42 typeOf: dcs:StatisticalVariable @@ -60,6 +67,7 @@ populationType: dcs:EconomicActivity activitySource: dcs:GrossDomesticProduction measuredProperty: dcs:amount measurementQualifier: dcs:Nominal +statType: dcs:measuredValue naics: dcid:NAICS/42 Node: dcid:USStateQuarterlyIndustryGDP_NAICS_44_45 @@ -68,6 +76,7 @@ populationType: dcs:EconomicActivity activitySource: dcs:GrossDomesticProduction measuredProperty: dcs:amount measurementQualifier: dcs:Nominal +statType: dcs:measuredValue naics: dcid:NAICS/44-45 Node: dcid:USStateQuarterlyIndustryGDP_NAICS_48_49 @@ -76,6 +85,7 @@ populationType: dcs:EconomicActivity activitySource: dcs:GrossDomesticProduction measuredProperty: dcs:amount measurementQualifier: dcs:Nominal +statType: dcs:measuredValue naics: dcid:NAICS/48-49 Node: dcid:USStateQuarterlyIndustryGDP_NAICS_51 @@ -84,6 +94,7 @@ populationType: dcs:EconomicActivity activitySource: dcs:GrossDomesticProduction measuredProperty: dcs:amount measurementQualifier: dcs:Nominal +statType: dcs:measuredValue naics: dcid:NAICS/51 Node: dcid:USStateQuarterlyIndustryGDP_NAICS_52 @@ -92,6 +103,7 @@ populationType: dcs:EconomicActivity activitySource: dcs:GrossDomesticProduction measuredProperty: dcs:amount measurementQualifier: dcs:Nominal +statType: dcs:measuredValue naics: dcid:NAICS/52 Node: dcid:USStateQuarterlyIndustryGDP_NAICS_53 @@ -100,6 +112,7 @@ populationType: dcs:EconomicActivity activitySource: dcs:GrossDomesticProduction measuredProperty: dcs:amount measurementQualifier: dcs:Nominal +statType: dcs:measuredValue naics: dcid:NAICS/53 Node: dcid:USStateQuarterlyIndustryGDP_NAICS_54 @@ -108,6 +121,7 @@ populationType: dcs:EconomicActivity activitySource: dcs:GrossDomesticProduction measuredProperty: dcs:amount measurementQualifier: dcs:Nominal +statType: dcs:measuredValue naics: dcid:NAICS/54 Node: dcid:USStateQuarterlyIndustryGDP_NAICS_55 @@ -116,6 +130,7 @@ populationType: dcs:EconomicActivity activitySource: dcs:GrossDomesticProduction measuredProperty: dcs:amount measurementQualifier: dcs:Nominal +statType: dcs:measuredValue naics: dcid:NAICS/55 Node: dcid:USStateQuarterlyIndustryGDP_NAICS_56 @@ -124,6 +139,7 @@ populationType: dcs:EconomicActivity activitySource: dcs:GrossDomesticProduction measuredProperty: dcs:amount measurementQualifier: dcs:Nominal +statType: dcs:measuredValue naics: dcid:NAICS/56 Node: dcid:USStateQuarterlyIndustryGDP_NAICS_61 @@ -132,6 +148,7 @@ populationType: dcs:EconomicActivity activitySource: dcs:GrossDomesticProduction measuredProperty: dcs:amount measurementQualifier: dcs:Nominal +statType: dcs:measuredValue naics: dcid:NAICS/61 Node: dcid:USStateQuarterlyIndustryGDP_NAICS_62 @@ -140,6 +157,7 @@ populationType: dcs:EconomicActivity activitySource: dcs:GrossDomesticProduction measuredProperty: dcs:amount measurementQualifier: dcs:Nominal +statType: dcs:measuredValue naics: dcid:NAICS/62 Node: dcid:USStateQuarterlyIndustryGDP_NAICS_71 @@ -148,6 +166,7 @@ populationType: dcs:EconomicActivity activitySource: dcs:GrossDomesticProduction measuredProperty: dcs:amount measurementQualifier: dcs:Nominal +statType: dcs:measuredValue naics: dcid:NAICS/71 Node: dcid:USStateQuarterlyIndustryGDP_NAICS_72 @@ -156,6 +175,7 @@ populationType: dcs:EconomicActivity activitySource: dcs:GrossDomesticProduction measuredProperty: dcs:amount measurementQualifier: dcs:Nominal +statType: dcs:measuredValue naics: dcid:NAICS/72 Node: dcid:USStateQuarterlyIndustryGDP_NAICS_81 @@ -164,5 +184,6 @@ populationType: dcs:EconomicActivity activitySource: dcs:GrossDomesticProduction measuredProperty: dcs:amount measurementQualifier: dcs:Nominal +statType: dcs:measuredValue naics: dcid:NAICS/81 diff --git a/scripts/us_bea/states_gdp/states_gdp_statvars.mcf b/scripts/us_bea/states_gdp/states_gdp_statvars.mcf index 80307fa485..4c9c400e39 100644 --- a/scripts/us_bea/states_gdp/states_gdp_statvars.mcf +++ b/scripts/us_bea/states_gdp/states_gdp_statvars.mcf @@ -4,3 +4,4 @@ populationType: dcs:EconomicActivity activitySource: dcs:GrossDomesticProduction measuredProperty: dcs:amount measurementQualifier: dcs:InflationAdjusted +statType: dcs:measuredValue diff --git a/scripts/us_bea/states_gdp/states_industry_gdp.csv b/scripts/us_bea/states_gdp/states_industry_gdp.csv index 297531856f..9df3f8c459 100644 --- a/scripts/us_bea/states_gdp/states_industry_gdp.csv +++ b/scripts/us_bea/states_gdp/states_industry_gdp.csv @@ -1,65084 +1,77782 @@ ,Quarter,value,GeoId,NAICS 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-,GeoFIPS,GeoName,Region,TableName,LineCode,IndustryClassification,Description,Unit,2005:Q1,2005:Q2,2005:Q3,2005:Q4,2006:Q1,2006:Q2,2006:Q3,2006:Q4,2007:Q1,2007:Q2,2007:Q3,2007:Q4,2008:Q1,2008:Q2,2008:Q3,2008:Q4,2009:Q1,2009:Q2,2009:Q3,2009:Q4,2010:Q1,2010:Q2,2010:Q3,2010:Q4,2011:Q1,2011:Q2,2011:Q3,2011:Q4,2012:Q1,2012:Q2,2012:Q3,2012:Q4,2013:Q1,2013:Q2,2013:Q3,2013:Q4,2014:Q1,2014:Q2,2014:Q3,2014:Q4,2015:Q1,2015:Q2,2015:Q3,2015:Q4,2016:Q1,2016:Q2,2016:Q3,2016:Q4,2017:Q1,2017:Q2,2017:Q3,2017:Q4,2018:Q1,2018:Q2,2018:Q3,2018:Q4,2019:Q1,2019:Q2,2019:Q3,2019:Q4 -0," ""15000""",Hawaii,8,SQGDP1,1,...,Real GDP (millions of chained 2012 dollars),Millions of chained 2012 dollars,67652.1,68161.8,68782.7,69665.4,69781.8,70321.3,70803.9,70704.4,70349.6,70571.9,71599.5,72245.7,72143.0,72651.3,71737.1,70225.8,69278.1,69135.3,68775.4,69190.4,69998.0,70487.7,71564.0,71976.2,71850.8,71800.2,71682.6,72987.2,73204.9,73704.1,73907.2,73514.6,74667.2,74012.1,74138.7,74292.2,73796.0,74306.5,74924.3,75090.4,76163.2,77031.7,77511.7,78034.9,78476.4,78760.2,78984.7,79399.3,80432.0,80274.0,80850.0,81307.1,81835.6,82689.9,82854.0,83228.1,83268.6,83372.7,83460.3,83936.0 -1," ""15000""",Hawaii,8,SQGDP1,2,...,Chain-type quantity indexes for real GDP,Quantity index,91.940,92.633,93.477,94.676,94.835,95.568,96.224,96.088,95.606,95.908,97.305,98.183,98.043,98.734,97.492,95.438,94.150,93.956,93.467,94.031,95.128,95.794,97.257,97.817,97.646,97.578,97.418,99.191,99.487,100.165,100.441,99.907,101.474,100.584,100.756,100.964,100.290,100.984,101.823,102.049,103.507,104.687,105.340,106.051,106.651,107.036,107.341,107.905,109.308,109.094,109.876,110.498,111.216,112.377,112.600,113.108,113.163,113.305,113.424,114.070 -2," ""15000""",Hawaii,8,SQGDP1,3,...,Current-dollar GDP (millions of current dollars),Millions of current dollars,57279.9,58100.7,59024.9,60266.2,61010.3,61946.8,62988.6,63514.2,63883.1,64442.0,65898.0,66710.9,66708.2,67286.1,66916.0,66548.6,65902.7,65659.4,65308.0,65897.9,66775.5,67608.3,68869.1,69534.6,69698.8,69960.9,70431.9,71838.7,72548.6,73617.8,74105.1,74059.5,75530.9,75232.8,75813.2,76576.3,76282.7,77326.8,78517.2,79290.5,81135.9,82306.3,83281.6,84116.2,84843.6,85572.8,86086.7,86872.0,88386.5,88682.4,89836.0,90810.5,91946.7,93588.6,94287.8,95368.5,96094.5,96831.5,97664.4,98536.3 +,GeoFIPS,GeoName,Region,TableName,LineCode,IndustryClassification,Description,Unit,2005:Q1,2005:Q2,2005:Q3,2005:Q4,2006:Q1,2006:Q2,2006:Q3,2006:Q4,2007:Q1,2007:Q2,2007:Q3,2007:Q4,2008:Q1,2008:Q2,2008:Q3,2008:Q4,2009:Q1,2009:Q2,2009:Q3,2009:Q4,2010:Q1,2010:Q2,2010:Q3,2010:Q4,2011:Q1,2011:Q2,2011:Q3,2011:Q4,2012:Q1,2012:Q2,2012:Q3,2012:Q4,2013:Q1,2013:Q2,2013:Q3,2013:Q4,2014:Q1,2014:Q2,2014:Q3,2014:Q4,2015:Q1,2015:Q2,2015:Q3,2015:Q4,2016:Q1,2016:Q2,2016:Q3,2016:Q4,2017:Q1,2017:Q2,2017:Q3,2017:Q4,2018:Q1,2018:Q2,2018:Q3,2018:Q4,2019:Q1,2019:Q2,2019:Q3,2019:Q4,2020:Q1,2020:Q2,2020:Q3,2020:Q4,2021:Q1,2021:Q2,2021:Q3,2021:Q4,2022:Q1,2022:Q2,2022:Q3,2022:Q4,2023:Q1 +0," ""15000""",Hawaii,8,SQGDP1,1,...,Real GDP (millions of chained 2012 dollars),Millions of chained 2012 dollars,66097.3,66774.7,67374.0,68249.4,68079.2,68669.1,69149.5,69139.5,69085.4,69427.6,70549.8,71258.7,71000.7,71402.9,70478.0,68961.7,68109.6,68023.6,67634.3,67942.5,68728.3,69123.5,70150.4,70510.2,70544.6,70433.4,70244.4,71364.0,71501.4,71955.9,72214.9,71949.0,73259.9,72764.9,73023.4,73204.7,72819.7,73307.1,73905.3,74017.5,75067.0,75773.2,76100.3,76537.4,76895.9,77135.4,77422.6,77761.6,78552.3,78686.5,79251.0,79300.0,79488.6,80091.8,80020.8,79780.0,78923.8,78928.8,79498.5,79502.4,76310.1,65797.9,68278.7,70050.9,71310.6,74502.0,76530.9,75845.4,74973.0,75083.5,75694.7,75922.0,76524.6 +1," ""15000""",Hawaii,8,SQGDP1,2,...,Chain-type quantity indexes for real GDP,Quantity index,91.923,92.865,93.698,94.916,94.679,95.499,96.167,96.153,96.078,96.554,98.115,99.101,98.742,99.301,98.015,95.906,94.721,94.602,94.060,94.489,95.582,96.131,97.559,98.060,98.108,97.953,97.690,99.247,99.438,100.070,100.431,100.061,101.884,101.195,101.555,101.807,101.272,101.950,102.781,102.937,104.397,105.379,105.834,106.442,106.941,107.274,107.673,108.144,109.244,109.431,110.216,110.284,110.546,111.385,111.286,110.951,109.761,109.768,110.560,110.565,106.126,91.506,94.956,97.421,99.173,103.611,106.433,105.480,104.266,104.420,105.270,105.586,106.424 +2," ""15000""",Hawaii,8,SQGDP1,3,...,Current-dollar GDP (millions of current dollars),Millions of current dollars,55900.0,56858.0,57759.3,58960.4,59483.8,60433.0,61438.3,62030.8,62648.9,63345.2,64892.7,65767.7,65609.1,66107.0,65709.5,65287.1,64737.1,64562.7,64188.7,64710.4,65573.7,66299.4,67501.3,68117.5,68421.6,68635.1,69013.9,70264.9,70855.3,71866.3,72410.1,72489.4,74121.7,73986.7,74655.8,75455.6,75233.1,76274.8,77437.6,78147.7,79894.0,80913.9,81707.0,82406.3,82999.2,83639.9,84150.2,84868.1,86118.7,86674.0,87763.7,88313.3,89058.4,90420.1,90735.7,91109.0,90973.6,91422.9,92524.2,92730.1,89334.1,77205.2,80577.1,83025.6,85331.3,90191.6,94061.7,94799.9,95278.7,96978.9,99351.5,101266.0,103262.4 diff --git a/scripts/us_bea/states_gdp/validate_import.py b/scripts/us_bea/states_gdp/validate_import.py index d2412569bf..37cad6a4d9 100644 --- a/scripts/us_bea/states_gdp/validate_import.py +++ b/scripts/us_bea/states_gdp/validate_import.py @@ -44,10 +44,10 @@ def test_download_data(self): # Test that the quarters in the downloaded data are exactly the ones # from the years 2005-2019. - years = range(2005, 2020) + years = range(2005, 2023) quarters = range(1, 5) all_quarters = {f"{y}:Q{q}" for y in years for q in quarters} - all_quarters.add("2020:Q1") + all_quarters.add("2023:Q1") cols = loader.raw_df.columns data_quarters = {q for q in cols if re.match(r"....:Q.", q)} self.assertSetEqual(all_quarters, data_quarters)