| [ | |
| { | |
| "input": "Name,Scope,Emissions Source,Activity type,Calculation date,Transaction date,Consumption start date,Consumption end date,Country/Region,Organizational unit,Facility,Source,Latitude,Longitude,CH4,CH4 unit,CO2,CO2 unit,N2O,N2O unit,CO2E,CO2E unit,CO2E (mt),HFCs,HFCs unit,NF3,NF3 unit,PFCs,PFCs unit,SF6,SF6 unit,Other GHGs unit,Other GHGs,Is market based,Is biogenic,Calculation job,Calculation model,Emission factor library,Emission factor,Factor mapping,Adjusted activity quantity,Adjusted activity quantity unit,Data connection refresh,Data connection,Origin correlation ID\nAssembly line components,Scope 3,Capital goods,Machinery,12/20/2023,5/26/2020,5/26/2020,5/26/2020,IND,HCL ERS Scope 3,Noida HCL.,Assembly line components,0.0,0.0,42.80103133,kg,8089.394921,kg,,,9159.420704,kg,9.159420704,,,,,,,,,,,No,No,POC-Capital Goods1703067781336,POC-Capital Goods,Capital Goods-Library,Machinery,Machinery,42801.03133,USD 2018,capital goods (used)-2. Capital goods-20231220101348042,Capital goods-power query,\nAssembly line components,Scope 3,Capital goods,Machinery,12/20/2023,2/7/2021,2/7/2021,2/7/2021,IND,HCL ERS Scope 3,Noida HCL.,Assembly line components,0.0,0.0,43.17042961,kg,8159.211195,kg,,,9238.471936,kg,9.238471936,,,,,,,,,,,No,No,POC-Capital Goods1703067781336,POC-Capital Goods,Capital Goods-Library,Machinery,Machinery,43170.42961,USD 2018,capital goods (used)-2. Capital goods-20231220101348042,Capital goods-power query,\nAssembly line components,Scope 3,Capital goods,Machinery,12/20/2023,11/20/2021,11/20/2021,11/20/2021,IND,HCL ERS Scope 3,Noida HCL.,Assembly line components,0.0,0.0,25.78343472,kg,4873.069162,kg,,,5517.65503,kg,5.51765503,,,,,,,,,,,No,No,POC-Capital Goods1703067781336,POC-Capital Goods,Capital Goods-Library,Machinery,Machinery,25783.43472,USD 2018,capital goods (used)-2. Capital goods-20231220101348042,Capital goods-power query,\nBlast Furnace Gas Leakage,Scope 1,Fugitive emissions,CO2 (AR4),11/2/2023,4/1/2023,4/1/2023,4/1/2023,IND,HCL ERS Scope 1,Tata Steel - TB,Blast Furnace Gas Leakage,28.52810705,77.28337336,,,,,,,357.34,kg,0.35734,,,,,,,,,kg,357.34,No,No,Tata Steels fugitive emissions 1698954829670,Tata Steels Fugitive Emissions,,,,,,Fugitive emissions-Fugitive emissions-20231102184057037,Fugitive emission and purchased cooling - Sample data,\nBlast Furnace Gas Leakage,Scope 1,Fugitive emissions,CO2 (AR4),11/2/2023,6/1/2023,6/1/2023,6/1/2023,IND,HCL ERS Scope 1,Tata Steels - GB,Blast Furnace Gas Leakage,28.6475428,77.33281922,,,,,,,236.8,kg,0.2368,,,,,,,,,kg,236.8,No,No,Tata Steels fugitive emissions 1698954829670,Tata Steels Fugitive Emissions,,,,,,Fugitive emissions-Fugitive emissions-20231102184057037,Fugitive emission and purchased cooling - Sample data,\nBlast Furnace Gas Leakage,Scope 1,Fugitive emissions,CO2 (AR4),11/2/2023,4/1/2023,4/1/2023,4/1/2023,IND,HCL ERS Scope 1,Tata Steel - NF,Blast Furnace Gas Leakage,28.55863368,77.26774063,,,,,,,275.56,kg,0.27556,,,,,,,,,kg,275.56,No,No,Tata Steels fugitive emissions 1698954829670,Tata Steels Fugitive Emissions,,,,,,Fugitive emissions-Fugitive emissions-20231102184057037,Fugitive emission and purchased cooling - Sample data,\nBlast Furnace Operations,Scope 1,Fugitive emissions,CO2 (AR4),11/2/2023,2/1/2023,2/1/2023,2/1/2023,IND,HCL ERS Scope 1,Tata Steels - GB,Blast Furnace Operations,28.6475428,77.33281922,,,,,,,236.34,kg,0.23634,,,,,,,,,kg,236.34,No,No,Tata Steels fugitive emissions 1698954829670,Tata Steels Fugitive Emissions,,,,,,Fugitive emissions-Fugitive emissions-20231102184057037,Fugitive emission and purchased cooling - Sample data,\nBlast Furnace Operations,Scope 1,Fugitive emissions,CO2 (AR4),11/2/2023,2/1/2023,2/1/2023,2/1/2023,IND,HCL ERS Scope 1,Tata Steel - TB,Blast Furnace Operations,28.52810705,77.28337336,,,,,,,345.1,kg,0.3451,,,,,,,,,kg,345.1,No,No,Tata Steels fugitive emissions 1698954829670,Tata Steels Fugitive Emissions,,,,,,Fugitive emissions-Fugitive emissions-20231102184057037,Fugitive emission and purchased cooling - Sample data,\nBlast Furnace Operations,Scope 1,Fugitive emissions,CO2 (AR4),11/2/2023,2/1/2023,2/1/2023,2/1/2023,IND,HCL ERS Scope 1,Tata Steel - NF,Blast Furnace Operations,28.55863368,77.26774063,,,,,,,395.4,kg,0.3954,,,,,,,,,kg,395.4,No,No,Tata Steels fugitive emissions 1698954829670,Tata Steels Fugitive Emissions,,,,,,Fugitive emissions-Fugitive emissions-20231102184057037,Fugitive emission and purchased cooling - Sample data,\nBusiness Travel New 1,Scope 3,Business travel,Air travel - medium haul (>= 300 miles, < 2300 miles),12/20/2023,,1/4/2023,1/4/2023,IND,HCL ERS Scope 3,Tata Steel - NF,Business Travel New 1,28.55863368,77.26774063,0.9456,g,203.304,kg,6.4616,g,205.2531968,kg,0.2052531968,,,,,,,,,,,No,No,Business travel Calc pro1703065972136,Business Travel - Calc,EPA 2022 - Business travel and employee commuting GHG emission factors,Air travel - medium haul (>= 300 miles, < 2300 miles),Air travel - medium haul (>= 300 miles, < 2300 miles) (business travel),1576.0,passenger-mile,Table-6. Business travel-20231220064036613,Business travel data new,\nBusiness Travel New 10,Scope 3,Business travel,Commuter rail,12/20/2023,,1/6/2023,1/6/2023,IND,HCL ERS Scope 3,Tata Steel - TB,Business Travel New 10,28.52810705,77.28337336,0.5264,g,6.533,kg,0.1316,g,6.5853768,kg,0.0065853768,,,,,,,,,,,No,No,Business travel Calc pro1703065972136,Business Travel - Calc,EPA 2022 - Business travel and employee commuting GHG emission factors,Commuter rail,Commuter rail (business travel),47.0,passenger-mile,Table-6. Business travel-20231220064036613,Business travel data new,\nBusiness Travel New 11,Scope 3,Business travel,Air travel - medium haul (>= 300 miles, < 2300 miles),12/20/2023,,1/3/2023,1/3/2023,IND,HCL ERS Scope 3,Tata Steels - GB,Business Travel New 11,28.6475428,77.33281922,1.1646,g,250.389,kg,7.9581,g,252.7896288,kg,0.2527896288,,,,,,,,,,,No,No,Business travel Calc pro1703065972136,Business Travel - Calc,EPA 2022 - Business travel and employee commuting GHG emission factors,Air travel - medium haul (>= 300 miles, < 2300 miles),Air travel - medium haul (>= 300 miles, < 2300 miles) (business travel),1941.0,passenger-mile,Table-6. Business travel-20231220064036613,Business travel data new,\nBusiness Travel New 12,Scope 3,Business travel,Air travel - short haul (< 300 miles),12/20/2023,,1/7/2023,1/7/2023,IND,HCL ERS Scope 3,Tata Steels - GB,Business Travel New 12,28.6475428,77.33281922,1.0752,g,34.776,kg,1.1088,g,35.1333024,kg,0.0351333024,,,,,,,,,,,No,No,Business travel Calc pro1703065972136,Business Travel - Calc,EPA 2022 - Business travel and employee commuting GHG emission factors,Air travel - short haul (< 300 miles),Air travel - short haul (< 300 miles) (business travel),168.0,passenger-mile,Table-6. Business travel-20231220064036613,Business travel data new,\nBusiness Travel New 13,Scope 3,Business travel,Intercity rail - Northeast Corridor,12/20/2023,,1/5/2023,1/5/2023,IND,HCL ERS Scope 3,Tata Steels - GB,Business Travel New 13,28.6475428,77.33281922,0.099,g,1.044,kg,0.0126,g,1.0502298,kg,0.0010502298,,,,,,,,,,,No,No,Business travel Calc pro1703065972136,Business Travel - Calc,EPA 2022 - Business travel and employee commuting GHG emission factors,Intercity rail - Northeast corridor,Intercity rail - Northeast corridor (business travel),18.0,passenger-mile,Table-6. Business travel-20231220064036613,Business travel data new,\nBusiness Travel New 14,Scope 3,Business travel,Bus,12/20/2023,,1/1/2023,1/1/2023,IND,HCL ERS Scope 3,Tata Steels - GB,Business Travel New 14,28.6475428,77.33281922,0.861,g,2.296,kg,0.0369,g,2.3285212,kg,0.0023285212,,,,,,,,,,,No,No,Business travel Calc pro1703065972136,Business Travel - Calc,EPA 2022 - Business travel and employee commuting GHG emission factors,Bus,Bus (business travel),41.0,passenger-mile,Table-6. Business travel-20231220064036613,Business travel data new,\nBusiness Travel New 15,Scope 3,Business travel,Light-duty truck,12/20/2023,,1/7/2023,1/7/2023,IND,HCL ERS Scope 3,Tata Steels - GB,Business Travel New 15,28.6475428,77.33281922,3.444,g,130.298,kg,2.583,g,131.153834,kg,0.131153834,,,,,,,,,,,No,No,Business travel Calc pro1703065972136,Business Travel - Calc,EPA 2022 - Business travel and employee commuting GHG emission factors,Light-duty truck,Light-duty truck (business travel),287.0,vehicle-mile,Table-6. Business travel-20231220064036613,Business travel data new,\nBusiness Travel New 16,Scope 3,Business travel,Air travel - medium haul (>= 300 miles, < 2300 miles),12/20/2023,,1/5/2023,1/5/2023,IND,HCL ERS Scope 3,Tata Steel - NF,Business Travel New 16,28.55863368,77.26774063,0.2724,g,58.566,kg,1.8614,g,59.1275072,kg,0.0591275072,,,,,,,,,,,No,No,Business travel Calc pro1703065972136,Business Travel - Calc,EPA 2022 - Business travel and employee commuting GHG emission factors,Air travel - medium haul (>= 300 miles, < 2300 miles),Air travel - medium haul (>= 300 miles, < 2300 miles) (business travel),454.0,passenger-mile,Table-6. Business travel-20231220064036613,Business travel data new,\nBusiness Travel New 17,Scope 3,Business travel,Passenger car,12/20/2023,,1/2/2023,1/2/2023,IND,HCL ERS Scope 3,Tata Steel - NF,Business Travel New 17,28.55863368,77.26774063,1.491,g,70.716,kg,1.491,g,71.197593,kg,0.071197593,,,,,,,,,,,No,No,Business travel Calc pro1703065972136,Business Travel - Calc,EPA 2022 - Business travel and employee commuting GHG emission factors,Passenger car,Passenger car (business travel),213.0,vehicle-mile,Table-6. Business travel-20231220064036613,Business travel data new,\nBusiness Travel New 18,Scope 3,Business travel,Transit rail,12/20/2023,,1/2/2023,1/2/2023,IND,HCL ERS Scope 3,Tata Steel - NF,Business Travel New 18,28.55863368,77.26774063,2.352,g,27.72,kg,0.336,g,27.878928,kg,0.027878928,,,,,,,,,,,No,No,Business travel Calc pro1703065972136,Business Travel - Calc,EPA 2022 - Business travel and employee commuting GHG emission factors,Transit rail (i.e. subway, tram),Transit rail (business travel),280.0,passenger-mile,Table-6. Business travel-20231220064036613,Business travel data new,\nBusiness Travel New 19,Scope 3,Business travel,Intercity rail - national average,12/20/2023,,1/5/2023,1/5/2023,IND,HCL ERS Scope 3,Tata Steel - NF,Business Travel New 19,28.55863368,77.26774063,0.2944,g,3.616,kg,0.0832,g,3.6481536,kg,0.0036481536,,,,,,,,,,,No,No,Business travel Calc pro1703065972136,Business Travel - Calc,EPA 2022 - Business travel and employee commuting GHG emission factors,Intercity rail - national average,Intercity rail - national average (business travel),32.0,passenger-mile,Table-6. Business travel-20231220064036613,Business travel data new,\nBusiness Travel New 2,Scope 3,Business travel,Passenger car,12/20/2023,,1/7/2023,1/7/2023,IND,HCL ERS Scope 3,Tata Steel - NF,Business Travel New 2,28.55863368,77.26774063,1.757,g,83.332,kg,1.757,g,83.899511,kg,0.083899511,,,,,,,,,,,No,No,Business travel Calc pro1703065972136,Business Travel - Calc,EPA 2022 - Business travel and employee commuting GHG emission factors,Passenger car,Passenger car (business travel),251.0,vehicle-mile,Table-6. Business travel-20231220064036613,Business travel data new,\nBusiness Travel New 20,Scope 3,Business travel,Motorcycle,12/20/2023,,1/4/2023,1/4/2023,IND,HCL ERS Scope 3,Tata Steel - NF,Business Travel New 20,28.55863368,77.26774063,1.19,g,3.111,kg,0.119,g,3.176212,kg,0.003176212,,,,,,,,,,,No,No,Business travel Calc pro1703065972136,Business Travel - Calc,EPA 2022 - Business travel and employee commuting GHG emission factors,Motorcycle,Motorcycle (business travel),17.0,vehicle-mile,Table-6. Business travel-20231220064036613,Business travel data new,\nBusiness Travel New 21,Scope 3,Business travel,Air travel - medium haul (>= 300 miles, < 2300 miles),12/20/2023,,1/2/2023,1/2/2023,IND,HCL ERS Scope 3,Tata Steel - TB,Business Travel New 21,28.52810705,77.28337336,0.2418,g,51.987,kg,1.6523,g,52.4854304,kg,0.0524854304,,,,,,,,,,,No,No,Business travel Calc pro1703065972136,Business Travel - Calc,EPA 2022 - Business travel and employee commuting GHG emission factors,Air travel - medium haul (>= 300 miles, < 2300 miles),Air travel - medium haul (>= 300 miles, < 2300 miles) (business travel),403.0,passenger-mile,Table-6. Business travel-20231220064036613,Business travel data new,\nBusiness Travel New 22,Scope 3,Business travel,Passenger car,12/20/2023,,1/5/2023,1/5/2023,IND,HCL ERS Scope 3,Tata Steel - TB,Business Travel New 22,28.52810705,77.28337336,1.022,g,48.472,kg,1.022,g,48.802106,kg,0.048802106,,,,,,,,,,,No,No,Business travel Calc pro1703065972136,Business Travel - Calc,EPA 2022 - Business travel and employee commuting GHG emission factors,Passenger car,Passenger car (business travel),146.0,vehicle-mile,Table-6. Business travel-20231220064036613,Business travel data new,\nBusiness Travel New 23,Scope 3,Business travel,Air travel - medium haul (>= 300 miles, < 2300 miles),12/20/2023,,1/8/2023,1/8/2023,IND,HCL ERS Scope 3,Tata Steel - TB,Business Travel New 23,28.52810705,77.28337336,0.6534,g,140.481,kg,4.4649,g,141.8278752,kg,0.1418278752,,,,,,,,,,,No,No,Business travel Calc pro1703065972136,Business Travel - Calc,EPA 2022 - Business travel and employee commuting GHG emission factors,Air travel - medium haul (>= 300 miles, < 2300 miles),Air travel - medium haul (>= 300 miles, < 2300 miles) (business travel),1089.0,passenger-mile,Table-6. Business travel-20231220064036613,Business travel data new,\nBusiness Travel New 24,Scope 3,Business travel,Passenger car,12/20/2023,,1/1/2023,1/1/2023,IND,HCL ERS Scope 3,Tata Steel - TB,Business Travel New 24,28.52810705,77.28337336,1.547,g,73.372,kg,1.547,g,73.871681,kg,0.073871681,,,,,,,,,,,No,No,Business travel Calc pro1703065972136,Business Travel - Calc,EPA 2022 - Business travel and employee commuting GHG emission factors,Passenger car,Passenger car (business travel),221.0,vehicle-mile,Table-6. Business travel-20231220064036613,Business travel data new,\nBusiness Travel New 25,Scope 3,Business travel,Passenger car,12/20/2023,,1/3/2023,1/3/2023,IND,HCL ERS Scope 3,Tata Steel - TB,Business Travel New 25,28.52810705,77.28337336,0.518,g,24.568,kg,0.518,g,24.735314,kg,0.024735314,,,,,,,,,,,No,No,Business travel Calc pro1703065972136,Business Travel - Calc,EPA 2022 - Business travel and employee commuting GHG emission factors,Passenger car,Passenger car (business travel),74.0,vehicle-mile,Table-6. Business travel-20231220064036613,Business travel data new,\nBusiness Travel New 26,Scope 3,Business travel,Intercity rail - Northeast Corridor,12/20/2023,,1/3/2023,1/3/2023,IND,HCL ERS Scope 3,Tata Steels - GB,Business Travel New 26,28.6475428,77.33281922,0.264,g,2.784,kg,0.0336,g,2.8006128,kg,0.0028006128,,,,,,,,,,,No,No,Business travel Calc pro1703065972136,Business Travel - Calc,EPA 2022 - Business travel and employee commuting GHG emission factors,Intercity rail - Northeast corridor,Intercity rail - Northeast corridor (business travel),48.0,passenger-mile,Table-6. Business travel-20231220064036613,Business travel data new,\nBusiness Travel New 27,Scope 3,Business travel,Intercity rail - national average,12/20/2023,,1/2/2023,1/2/2023,IND,HCL ERS Scope 3,Tata Steels - GB,Business Travel New 27,28.6475428,77.33281922,0.322,g,3.955,kg,0.091,g,3.990168,kg,0.003990168,,,,,,,,,,,No,No,Business travel Calc pro1703065972136,Business Travel - Calc,EPA 2022 - Business travel and employee commuting GHG emission factors,Intercity rail - national average,Intercity rail - national average (business travel),35.0,passenger-mile,Table-6. Business travel-20231220064036613,Business travel data new,\n", | |
| "instruction": "What are the primary sources of emissions (Scope 1, Scope 2, and Scope 3)?", | |
| "output": "Here are the steps I will follow to identify the primary sources of emissions (Scope 1, Scope 2, and Scope 3):\n\n1. Load the dataset: Read the data.\n2. Extract relevant columns: Focus on the columns that indicate the scope and emission sources.\n3. Group and count: Group the data by scope and emission source, then count the occurrences of each combination.\n4. Sort and identify primary sources: Sort the counts in descending order within each scope to identify the primary sources of emissions.\n\nHere is the complete code and the final output:\n\n```python\nimport pandas as pd\nfrom io import StringIO\n\n# Step 1: Load the dataset\ndata = \"\"\"Name,Scope,Emissions Source,Activity type,Calculation date,Transaction date,Consumption start date,Consumption end date,Country/Region,Organizational unit,Facility,Source,Latitude,Longitude,CH4,CH4 unit,CO2,CO2 unit,N2O,N2O unit,CO2E,CO2E unit,CO2E (mt),HFCs,HFCs unit,NF3,NF3 unit,PFCs,PFCs unit,SF6,SF6 unit,Other GHGs unit,Other GHGs,Is market based,Is biogenic,Calculation job,Calculation model,Emission factor library,Emission factor,Factor mapping,Adjusted activity quantity,Adjusted activity quantity unit,Data connection refresh,Data connection,Origin correlation ID\nAssembly line components,Scope 3,Capital goods,Machinery,12/20/2023,5/26/2020,5/26/2020,5/26/2020,IND,HCL ERS Scope 3,Noida HCL.,Assembly line components,0,0,42.80103133,kg,8089.394921,kg,,,9159.420704,kg,9.159420704,,,,,,,,,,,No,No,POC-Capital Goods1703067781336,POC-Capital Goods,Capital Goods-Library,Machinery,Machinery,42801.03133,USD 2018,capital goods (used)-2. Capital goods-20231220101348042,Capital goods-power query,\nAssembly line components,Scope 3,Capital goods,Machinery,12/20/2023,2/7/2021,2/7/2021,2/7/2021,IND,HCL ERS Scope 3,Noida HCL.,Assembly line components,0,0,43.17042961,kg,8159.211195,kg,,,9238.471936,kg,9.238471936,,,,,,,,,,,No,No,POC-Capital Goods1703067781336,POC-Capital Goods,Capital Goods-Library,Machinery,Machinery,43170.42961,USD 2018,capital goods (used)-2. Capital goods-20231220101348042,Capital goods-power query,\nAssembly line components,Scope 3,Capital goods,Machinery,12/20/2023,11/20/2021,11/20/2021,11/20/2021,IND,HCL ERS Scope 3,Noida HCL.,Assembly line components,0,0,25.78343472,kg,4873.069162,kg,,,5517.65503,kg,5.51765503,,,,,,,,,,,No,No,POC-Capital Goods1703067781336,POC-Capital Goods,Capital Goods-Library,Machinery,Machinery,25783.43472,USD 2018,capital goods (used)-2. Capital goods-20231220101348042,Capital goods-power query,\nBlast Furnace Gas Leakage,Scope 1,Fugitive emissions,CO2 (AR4),11/2/2023,4/1/2023,4/1/2023,4/1/2023,IND,HCL ERS Scope 1,Tata Steel - TB,Blast Furnace Gas Leakage,28.52810705,77.28337336,,,,,,,357.34,kg,0.35734,,,,,,,,,kg,357.34,No,No,Tata Steels fugitive emissions 1698954829670,Tata Steels Fugitive Emissions,,,,,,Fugitive emissions-Fugitive emissions-20231102184057037,Fugitive emission and purchased cooling - Sample data,\nBlast Furnace Gas Leakage,Scope 1,Fugitive emissions,CO2 (AR4),11/2/2023,6/1/2023,6/1/2023,6/1/2023,IND,HCL ERS Scope 1,Tata Steels - GB,Blast Furnace Gas Leakage,28.6475428,77.33281922,,,,,,,236.8,kg,0.2368,,,,,,,,,kg,236.8,No,No,Tata Steels fugitive emissions 1698954829670,Tata Steels Fugitive Emissions,,,,,,Fugitive emissions-Fugitive emissions-20231102184057037,Fugitive emission and purchased cooling - Sample data,\nBlast Furnace Gas Leakage,Scope 1,Fugitive emissions,CO2 (AR4),11/2/2023,4/1/2023,4/1/2023,4/1/2023,IND,HCL ERS Scope 1,Tata Steel - NF,Blast Furnace Gas Leakage,28.55863368,77.26774063,,,,,,,275.56,kg,0.27556,,,,,,,,,kg,275.56,No,No,Tata Steels fugitive emissions 1698954829670,Tata Steels Fugitive Emissions,,,,,,Fugitive emissions-Fugitive emissions-20231102184057037,Fugitive emission and purchased cooling - Sample data,\nBlast Furnace Operations,Scope 1,Fugitive emissions,CO2 (AR4),11/2/2023,2/1/2023,2/1/2023,2/1/2023,IND,HCL ERS Scope 1,Tata Steels - GB,Blast Furnace Operations,28.6475428,77.33281922,,,,,,,236.34,kg,0.23634,,,,,,,,,kg,236.34,No,No,Tata Steels fugitive emissions 1698954829670,Tata Steels Fugitive Emissions,,,,,,Fugitive emissions-Fugitive emissions-20231102184057037,Fugitive emission and purchased cooling - Sample data,\nBlast Furnace Operations,Scope 1,Fugitive emissions,CO2 (AR4),11/2/2023,2/1/2023,2/1/2023,2/1/2023,IND,HCL ERS Scope 1,Tata Steel - TB,Blast Furnace Operations,28.52810705,77.28337336,,,,,,,345.1,kg,0.3451,,,,,,,,,kg,345.1,No,No,Tata Steels fugitive emissions 1698954829670,Tata Steels Fugitive Emissions,,,,,,Fugitive emissions-Fugitive emissions-20231102184057037,Fugitive emission and purchased cooling - Sample data,\nBlast Furnace Operations,Scope 1,Fugitive emissions,CO2 (AR4),11/2/2023,2/1/2023,2/1/2023,2/1/2023,IND,HCL ERS Scope 1,Tata Steel - NF,Blast Furnace Operations,28.55863368,77.26774063,,,,,,,395.4,kg,0.3954,,,,,,,,,kg,395.4,No,No,Tata Steels fugitive emissions 1698954829670,Tata Steels Fugitive Emissions,,,,,,Fugitive emissions-Fugitive emissions-20231102184057037,Fugitive emission and purchased cooling - Sample data,\nBusiness Travel New 1,Scope 3,Business travel,\"Air travel - medium haul (>= 300 miles, < 2300 miles)\",12/20/2023,,1/4/2023,1/4/2023,IND,HCL ERS Scope 3,Tata Steel - NF,Business Travel New 1,28.55863368,77.26774063,0.9456,g,203.304,kg,6.4616,g,205.2531968,kg,0.2052531968,,,,,,,,,,,No,No,Business travel Calc pro1703065972136,Business Travel - Calc,EPA 2022 - Business travel and employee commuting GHG emission factors,\"Air travel - medium haul (>= 300 miles, < 2300 miles)\",\"Air travel - medium haul (>= 300 miles, < 2300 miles) (business travel)\",1576,passenger-mile,Table-6. Business travel-20231220064036613,Business travel data new,\nBusiness Travel New 10,Scope 3,Business travel,Commuter rail,12/20/2023,,1/6/2023,1/6/2023,IND,HCL ERS Scope 3,Tata Steel - TB,Business Travel New 10,28.52810705,77.28337336,0.5264,g,6.533,kg,0.1316,g,6.5853768,kg,0.0065853768,,,,,,,,,,,No,No,Business travel Calc pro1703065972136,Business Travel - Calc,EPA 2022 - Business travel and employee commuting GHG emission factors,Commuter rail,Commuter rail (business travel),47,passenger-mile,Table-6. Business travel-20231220064036613,Business travel data new,\nBusiness Travel New 11,Scope 3,Business travel,\"Air travel - medium haul (>= 300 miles, < 2300 miles)\",12/20/2023,,1/3/2023,1/3/2023,IND,HCL ERS Scope 3,Tata Steels - GB,Business Travel New 11,28.6475428,77.33281922,1.1646,g,250.389,kg,7.9581,g,252.7896288,kg,0.2527896288,,,,,,,,,,,No,No,Business travel Calc pro1703065972136,Business Travel - Calc,EPA 2022 - Business travel and employee commuting GHG emission factors,\"Air travel - medium haul (>= 300 miles, < 2300 miles)\",\"Air travel - medium haul (>= 300 miles, < 2300 miles) (business travel)\",1941,passenger-mile,Table-6. Business travel-20231220064036613,Business travel data new,\nBusiness Travel New 12,Scope 3,Business travel,Air travel - short haul (< 300 miles),12/20/2023,,1/7/2023,1/7/2023,IND,HCL ERS Scope 3,Tata Steels - GB,Business Travel New 12,28.6475428,77.33281922,1.0752,g,34.776,kg,1.1088,g,35.1333024,kg,0.0351333024,,,,,,,,,,,No,No,Business travel Calc pro1703065972136,Business Travel - Calc,EPA 2022 - Business travel and employee commuting GHG emission factors,Air travel - short haul (< 300 miles),Air travel - short haul (< 300 miles) (business travel),168,passenger-mile,Table-6. Business travel-20231220064036613,Business travel data new,\nBusiness Travel New 13,Scope 3,Business travel,Intercity rail - Northeast Corridor,12/20/2023,,1/5/2023,1/5/2023,IND,HCL ERS Scope 3,Tata Steels - GB,Business Travel New 13,28.6475428,77.33281922,0.099,g,1.044,kg,0.0126,g,1.0502298,kg,0.0010502298,,,,,,,,,,,No,No,Business travel Calc pro1703065972136,Business Travel - Calc,EPA 2022 - Business travel and employee commuting GHG emission factors,Intercity rail - Northeast corridor,Intercity rail - Northeast corridor (business travel),18,passenger-mile,Table-6. Business travel-20231220064036613,Business travel data new,\nBusiness Travel New 14,Scope 3,Business travel,Bus,12/20/2023,,1/1/2023,1/1/2023,IND,HCL ERS Scope 3,Tata Steels - GB,Business Travel New 14,28.6475428,77.33281922,0.861,g,2.296,kg,0.0369,g,2.3285212,kg,0.0023285212,,,,,,,,,,,No,No,Business travel Calc pro1703065972136,Business Travel - Calc,EPA 2022 - Business travel and employee commuting GHG emission factors,Bus,Bus (business travel),41,passenger-mile,Table-6. Business travel-20231220064036613,Business travel data new,\nBusiness Travel New 15,Scope 3,Business travel,Light-duty truck,12/20/2023,,1/7/2023,1/7/2023,IND,HCL ERS Scope 3,Tata Steels - GB,Business Travel New 15,28.6475428,77.33281922,3.444,g,130.298,kg,2.583,g,131.153834,kg,0.131153834,,,,,,,,,,,No,No,Business travel Calc pro1703065972136,Business Travel - Calc,EPA 2022 - Business travel and employee commuting GHG emission factors,Light-duty truck,Light-duty truck (business travel),287,vehicle-mile,Table-6. Business travel-20231220064036613,Business travel data new,\nBusiness Travel New 16,Scope 3,Business travel,\"Air travel - medium haul (>= 300 miles, < 2300 miles)\",12/20/2023,,1/5/2023,1/5/2023,IND,HCL ERS Scope 3,Tata Steel - NF,Business Travel New 16,28.55863368,77.26774063,0.2724,g,58.566,kg,1.8614,g,59.1275072,kg,0.0591275072,,,,,,,,,,,No,No,Business travel Calc pro1703065972136,Business Travel - Calc,EPA 2022 - Business travel and employee commuting GHG emission factors,\"Air travel - medium haul (>= 300 miles, < 2300 miles)\",\"Air travel - medium haul (>= 300 miles, < 2300 miles) (business travel)\",454,passenger-mile,Table-6. Business travel-20231220064036613,Business travel data new,\nBusiness Travel New 17,Scope 3,Business travel,Passenger car,12/20/2023,,1/2/2023,1/2/2023,IND,HCL ERS Scope 3,Tata Steel - NF,Business Travel New 17,28.55863368,77.26774063,1.491,g,70.716,kg,1.491,g,71.197593,kg,0.071197593,,,,,,,,,,,No,No,Business travel Calc pro1703065972136,Business Travel - Calc,EPA 2022 - Business travel and employee commuting GHG emission factors,Passenger car,Passenger car (business travel),213,vehicle-mile,Table-6. Business travel-20231220064036613,Business travel data new,\nBusiness Travel New 18,Scope 3,Business travel,Transit rail,12/20/2023,,1/2/2023,1/2/2023,IND,HCL ERS Scope 3,Tata Steel - NF,Business Travel New 18,28.55863368,77.26774063,2.352,g,27.72,kg,0.336,g,27.878928,kg,0.027878928,,,,,,,,,,,No,No,Business travel Calc pro1703065972136,Business Travel - Calc,EPA 2022 - Business travel and employee commuting GHG emission factors,\"Transit rail (i.e. subway, tram)\",Transit rail (business travel),280,passenger-mile,Table-6. Business travel-20231220064036613,Business travel data new,\nBusiness Travel New 19,Scope 3,Business travel,Intercity rail - national average,12/20/2023,,1/5/2023,1/5/2023,IND,HCL ERS Scope 3,Tata Steel - NF,Business Travel New 19,28.55863368,77.26774063,0.2944,g,3.616,kg,0.0832,g,3.6481536,kg,0.0036481536,,,,,,,,,,,No,No,Business travel Calc pro1703065972136,Business Travel - Calc,EPA 2022 - Business travel and employee commuting GHG emission factors,Intercity rail - national average,Intercity rail - national average (business travel),32,passenger-mile,Table-6. Business travel-20231220064036613,Business travel data new,\nBusiness Travel New 2,Scope 3,Business travel,Passenger car,12/20/2023,,1/7/2023,1/7/2023,IND,HCL ERS Scope 3,Tata Steel - NF,Business Travel New 2,28.55863368,77.26774063,1.757,g,83.332,kg,1.757,g,83.899511,kg,0.083899511,,,,,,,,,,,No,No,Business travel Calc pro1703065972136,Business Travel - Calc,EPA 2022 - Business travel and employee commuting GHG emission factors,Passenger car,Passenger car (business travel),251,vehicle-mile,Table-6. Business travel-20231220064036613,Business travel data new,\nBusiness Travel New 20,Scope 3,Business travel,Motorcycle,12/20/2023,,1/4/2023,1/4/2023,IND,HCL ERS Scope 3,Tata Steel - NF,Business Travel New 20,28.55863368,77.26774063,1.19,g,3.111,kg,0.119,g,3.176212,kg,0.003176212,,,,,,,,,,,No,No,Business travel Calc pro1703065972136,Business Travel - Calc,EPA 2022 - Business travel and employee commuting GHG emission factors,Motorcycle,Motorcycle (business travel),17,vehicle-mile,Table-6. Business travel-20231220064036613,Business travel data new,\nBusiness Travel New 21,Scope 3,Business travel,\"Air travel - medium haul (>= 300 miles, < 2300 miles)\",12/20/2023,,1/2/2023,1/2/2023,IND,HCL ERS Scope 3,Tata Steel - TB,Business Travel New 21,28.52810705,77.28337336,0.2418,g,51.987,kg,1.6523,g,52.4854304,kg,0.0524854304,,,,,,,,,,,No,No,Business travel Calc pro1703065972136,Business Travel - Calc,EPA 2022 - Business travel and employee commuting GHG emission factors,\"Air travel - medium haul (>= 300 miles, < 2300 miles)\",\"Air travel - medium haul (>= 300 miles, < 2300 miles) (business travel)\",403,passenger-mile,Table-6. Business travel-20231220064036613,Business travel data new,\nBusiness Travel New 22,Scope 3,Business travel,Passenger car,12/20/2023,,1/5/2023,1/5/2023,IND,HCL ERS Scope 3,Tata Steel - TB,Business Travel New 22,28.52810705,77.28337336,1.022,g,48.472,kg,1.022,g,48.802106,kg,0.048802106,,,,,,,,,,,No,No,Business travel Calc pro1703065972136,Business Travel - Calc,EPA 2022 - Business travel and employee commuting GHG emission factors,Passenger car,Passenger car (business travel),146,vehicle-mile,Table-6. Business travel-20231220064036613,Business travel data new,\nBusiness Travel New 23,Scope 3,Business travel,\"Air travel - medium haul (>= 300 miles, < 2300 miles)\",12/20/2023,,1/8/2023,1/8/2023,IND,HCL ERS Scope 3,Tata Steel - TB,Business Travel New 23,28.52810705,77.28337336,0.6534,g,140.481,kg,4.4649,g,141.8278752,kg,0.1418278752,,,,,,,,,,,No,No,Business travel Calc pro1703065972136,Business Travel - Calc,EPA 2022 - Business travel and employee commuting GHG emission factors,\"Air travel - medium haul (>= 300 miles, < 2300 miles)\",\"Air travel - medium haul (>= 300 miles, < 2300 miles) (business travel)\",1089,passenger-mile,Table-6. Business travel-20231220064036613,Business travel data new,\nBusiness Travel New 24,Scope 3,Business travel,Passenger car,12/20/2023,,1/1/2023,1/1/2023,IND,HCL ERS Scope 3,Tata Steel - TB,Business Travel New 24,28.52810705,77.28337336,1.547,g,73.372,kg,1.547,g,73.871681,kg,0.073871681,,,,,,,,,,,No,No,Business travel Calc pro1703065972136,Business Travel - Calc,EPA 2022 - Business travel and employee commuting GHG emission factors,Passenger car,Passenger car (business travel),221,vehicle-mile,Table-6. Business travel-20231220064036613,Business travel data new,\nBusiness Travel New 25,Scope 3,Business travel,Passenger car,12/20/2023,,1/3/2023,1/3/2023,IND,HCL ERS Scope 3,Tata Steel - TB,Business Travel New 25,28.52810705,77.28337336,0.518,g,24.568,kg,0.518,g,24.735314,kg,0.024735314,,,,,,,,,,,No,No,Business travel Calc pro1703065972136,Business Travel - Calc,EPA 2022 - Business travel and employee commuting GHG emission factors,Passenger car,Passenger car (business travel),74,vehicle-mile,Table-6. Business travel-20231220064036613,Business travel data new,\nBusiness Travel New 26,Scope 3,Business travel,Intercity rail - Northeast Corridor,12/20/2023,,1/3/2023,1/3/2023,IND,HCL ERS Scope 3,Tata Steels - GB,Business Travel New 26,28.6475428,77.33281922,0.264,g,2.784,kg,0.0336,g,2.8006128,kg,0.0028006128,,,,,,,,,,,No,No,Business travel Calc pro1703065972136,Business Travel - Calc,EPA 2022 - Business travel and employee commuting GHG emission factors,Intercity rail - Northeast corridor,Intercity rail - Northeast corridor (business travel),48,passenger-mile,Table-6. Business travel-20231220064036613,Business travel data new,\nBusiness Travel New 27,Scope 3,Business travel,Intercity rail - national average,12/20/2023,,1/2/2023,1/2/2023,IND,HCL ERS Scope 3,Tata Steels - GB,Business Travel New 27,28.6475428,77.33281922,0.322,g,3.955,kg,0.091,g,3.990168,kg,0.003990168,,,,,,,,,,,No,No,Business travel Calc pro1703065972136,Business Travel - Calc,EPA 2022 - Business travel and employee commuting GHG emission factors,Intercity rail - national average,Intercity rail - national average (business travel),35,passenger-mile,Table-6. Business travel-20231220064036613,Business travel data new,\n\"\"\"\n\ndf = pd.read_csv(StringIO(data))\n\n# Step 2: Extract relevant columns for identifying primary sources of emissions\nrelevant_columns = ['Scope', 'Emissions Source']\nemissions_sources = df[relevant_columns]\n\n# Step 3: Group by 'Scope' and 'Emissions Source' to find primary sources\nprimary_sources = emissions_sources.groupby(['Scope', 'Emissions Source']).size().reset_index(name='Count')\n\n# Step 4: Sort by 'Count' in descending order for each scope\nprimary_sources_sorted = primary_sources.sort_values(by=['Scope', 'Count'], ascending=[True, False])\n\n# Display the final output\nprimary_sources_sorted\n```\n\nFinal Output:\nThe output dataframe contains the primary sources of emissions for each scope, sorted in descending order by their count:\n\n\tScope\tEmissions Source\tCount\n0\tScope 1\tFugitive emissions\t6\n1\tScope 3\tBusiness travel\t20\n2\tScope 3\tCapital goods\t3" | |
| }, | |
| { | |
| "input": "Name,Scope,Emissions Source,Activity type,Calculation date,Transaction date,Consumption start date,Consumption end date,Country/Region,Organizational unit,Facility,Source,Latitude,Longitude,CH4,CH4 unit,CO2,CO2 unit,N2O,N2O unit,CO2E,CO2E unit,CO2E (mt),HFCs,HFCs unit,NF3,NF3 unit,PFCs,PFCs unit,SF6,SF6 unit,Other GHGs unit,Other GHGs,Is market based,Is biogenic,Calculation job,Calculation model,Emission factor library,Emission factor,Factor mapping,Adjusted activity quantity,Adjusted activity quantity unit,Data connection refresh,Data connection,Origin correlation ID\nAssembly line components,Scope 3,Capital goods,Machinery,12/20/2023,5/26/2020,5/26/2020,5/26/2020,IND,HCL ERS Scope 3,Noida HCL.,Assembly line components,0.0,0.0,42.80103133,kg,8089.394921,kg,,,9159.420704,kg,9.159420704,,,,,,,,,,,No,No,POC-Capital Goods1703067781336,POC-Capital Goods,Capital Goods-Library,Machinery,Machinery,42801.03133,USD 2018,capital goods (used)-2. Capital goods-20231220101348042,Capital goods-power query,\nAssembly line components,Scope 3,Capital goods,Machinery,12/20/2023,2/7/2021,2/7/2021,2/7/2021,IND,HCL ERS Scope 3,Noida HCL.,Assembly line components,0.0,0.0,43.17042961,kg,8159.211195,kg,,,9238.471936,kg,9.238471936,,,,,,,,,,,No,No,POC-Capital Goods1703067781336,POC-Capital Goods,Capital Goods-Library,Machinery,Machinery,43170.42961,USD 2018,capital goods (used)-2. Capital goods-20231220101348042,Capital goods-power query,\nAssembly line components,Scope 3,Capital goods,Machinery,12/20/2023,11/20/2021,11/20/2021,11/20/2021,IND,HCL ERS Scope 3,Noida HCL.,Assembly line components,0.0,0.0,25.78343472,kg,4873.069162,kg,,,5517.65503,kg,5.51765503,,,,,,,,,,,No,No,POC-Capital Goods1703067781336,POC-Capital Goods,Capital Goods-Library,Machinery,Machinery,25783.43472,USD 2018,capital goods (used)-2. Capital goods-20231220101348042,Capital goods-power query,\nBlast Furnace Gas Leakage,Scope 1,Fugitive emissions,CO2 (AR4),11/2/2023,4/1/2023,4/1/2023,4/1/2023,IND,HCL ERS Scope 1,Tata Steel - TB,Blast Furnace Gas Leakage,28.52810705,77.28337336,,,,,,,357.34,kg,0.35734,,,,,,,,,kg,357.34,No,No,Tata Steels fugitive emissions 1698954829670,Tata Steels Fugitive Emissions,,,,,,Fugitive emissions-Fugitive emissions-20231102184057037,Fugitive emission and purchased cooling - Sample data,\nBlast Furnace Gas Leakage,Scope 1,Fugitive emissions,CO2 (AR4),11/2/2023,6/1/2023,6/1/2023,6/1/2023,IND,HCL ERS Scope 1,Tata Steels - GB,Blast Furnace Gas Leakage,28.6475428,77.33281922,,,,,,,236.8,kg,0.2368,,,,,,,,,kg,236.8,No,No,Tata Steels fugitive emissions 1698954829670,Tata Steels Fugitive Emissions,,,,,,Fugitive emissions-Fugitive emissions-20231102184057037,Fugitive emission and purchased cooling - Sample data,\nBlast Furnace Gas Leakage,Scope 1,Fugitive emissions,CO2 (AR4),11/2/2023,4/1/2023,4/1/2023,4/1/2023,IND,HCL ERS Scope 1,Tata Steel - NF,Blast Furnace Gas Leakage,28.55863368,77.26774063,,,,,,,275.56,kg,0.27556,,,,,,,,,kg,275.56,No,No,Tata Steels fugitive emissions 1698954829670,Tata Steels Fugitive Emissions,,,,,,Fugitive emissions-Fugitive emissions-20231102184057037,Fugitive emission and purchased cooling - Sample data,\nBlast Furnace Operations,Scope 1,Fugitive emissions,CO2 (AR4),11/2/2023,2/1/2023,2/1/2023,2/1/2023,IND,HCL ERS Scope 1,Tata Steels - GB,Blast Furnace Operations,28.6475428,77.33281922,,,,,,,236.34,kg,0.23634,,,,,,,,,kg,236.34,No,No,Tata Steels fugitive emissions 1698954829670,Tata Steels Fugitive Emissions,,,,,,Fugitive emissions-Fugitive emissions-20231102184057037,Fugitive emission and purchased cooling - Sample data,\nBlast Furnace Operations,Scope 1,Fugitive emissions,CO2 (AR4),11/2/2023,2/1/2023,2/1/2023,2/1/2023,IND,HCL ERS Scope 1,Tata Steel - TB,Blast Furnace Operations,28.52810705,77.28337336,,,,,,,345.1,kg,0.3451,,,,,,,,,kg,345.1,No,No,Tata Steels fugitive emissions 1698954829670,Tata Steels Fugitive Emissions,,,,,,Fugitive emissions-Fugitive emissions-20231102184057037,Fugitive emission and purchased cooling - Sample data,\nBlast Furnace Operations,Scope 1,Fugitive emissions,CO2 (AR4),11/2/2023,2/1/2023,2/1/2023,2/1/2023,IND,HCL ERS Scope 1,Tata Steel - NF,Blast Furnace Operations,28.55863368,77.26774063,,,,,,,395.4,kg,0.3954,,,,,,,,,kg,395.4,No,No,Tata Steels fugitive emissions 1698954829670,Tata Steels Fugitive Emissions,,,,,,Fugitive emissions-Fugitive emissions-20231102184057037,Fugitive emission and purchased cooling - Sample data,\nBusiness Travel New 1,Scope 3,Business travel,Air travel - medium haul (>= 300 miles, < 2300 miles),12/20/2023,,1/4/2023,1/4/2023,IND,HCL ERS Scope 3,Tata Steel - NF,Business Travel New 1,28.55863368,77.26774063,0.9456,g,203.304,kg,6.4616,g,205.2531968,kg,0.2052531968,,,,,,,,,,,No,No,Business travel Calc pro1703065972136,Business Travel - Calc,EPA 2022 - Business travel and employee commuting GHG emission factors,Air travel - medium haul (>= 300 miles, < 2300 miles),Air travel - medium haul (>= 300 miles, < 2300 miles) (business travel),1576.0,passenger-mile,Table-6. Business travel-20231220064036613,Business travel data new,\nBusiness Travel New 10,Scope 3,Business travel,Commuter rail,12/20/2023,,1/6/2023,1/6/2023,IND,HCL ERS Scope 3,Tata Steel - TB,Business Travel New 10,28.52810705,77.28337336,0.5264,g,6.533,kg,0.1316,g,6.5853768,kg,0.0065853768,,,,,,,,,,,No,No,Business travel Calc pro1703065972136,Business Travel - Calc,EPA 2022 - Business travel and employee commuting GHG emission factors,Commuter rail,Commuter rail (business travel),47.0,passenger-mile,Table-6. Business travel-20231220064036613,Business travel data new,\nBusiness Travel New 11,Scope 3,Business travel,Air travel - medium haul (>= 300 miles, < 2300 miles),12/20/2023,,1/3/2023,1/3/2023,IND,HCL ERS Scope 3,Tata Steels - GB,Business Travel New 11,28.6475428,77.33281922,1.1646,g,250.389,kg,7.9581,g,252.7896288,kg,0.2527896288,,,,,,,,,,,No,No,Business travel Calc pro1703065972136,Business Travel - Calc,EPA 2022 - Business travel and employee commuting GHG emission factors,Air travel - medium haul (>= 300 miles, < 2300 miles),Air travel - medium haul (>= 300 miles, < 2300 miles) (business travel),1941.0,passenger-mile,Table-6. Business travel-20231220064036613,Business travel data new,\nBusiness Travel New 12,Scope 3,Business travel,Air travel - short haul (< 300 miles),12/20/2023,,1/7/2023,1/7/2023,IND,HCL ERS Scope 3,Tata Steels - GB,Business Travel New 12,28.6475428,77.33281922,1.0752,g,34.776,kg,1.1088,g,35.1333024,kg,0.0351333024,,,,,,,,,,,No,No,Business travel Calc pro1703065972136,Business Travel - Calc,EPA 2022 - Business travel and employee commuting GHG emission factors,Air travel - short haul (< 300 miles),Air travel - short haul (< 300 miles) (business travel),168.0,passenger-mile,Table-6. Business travel-20231220064036613,Business travel data new,\nBusiness Travel New 13,Scope 3,Business travel,Intercity rail - Northeast Corridor,12/20/2023,,1/5/2023,1/5/2023,IND,HCL ERS Scope 3,Tata Steels - GB,Business Travel New 13,28.6475428,77.33281922,0.099,g,1.044,kg,0.0126,g,1.0502298,kg,0.0010502298,,,,,,,,,,,No,No,Business travel Calc pro1703065972136,Business Travel - Calc,EPA 2022 - Business travel and employee commuting GHG emission factors,Intercity rail - Northeast corridor,Intercity rail - Northeast corridor (business travel),18.0,passenger-mile,Table-6. Business travel-20231220064036613,Business travel data new,\nBusiness Travel New 14,Scope 3,Business travel,Bus,12/20/2023,,1/1/2023,1/1/2023,IND,HCL ERS Scope 3,Tata Steels - GB,Business Travel New 14,28.6475428,77.33281922,0.861,g,2.296,kg,0.0369,g,2.3285212,kg,0.0023285212,,,,,,,,,,,No,No,Business travel Calc pro1703065972136,Business Travel - Calc,EPA 2022 - Business travel and employee commuting GHG emission factors,Bus,Bus (business travel),41.0,passenger-mile,Table-6. Business travel-20231220064036613,Business travel data new,\nBusiness Travel New 15,Scope 3,Business travel,Light-duty truck,12/20/2023,,1/7/2023,1/7/2023,IND,HCL ERS Scope 3,Tata Steels - GB,Business Travel New 15,28.6475428,77.33281922,3.444,g,130.298,kg,2.583,g,131.153834,kg,0.131153834,,,,,,,,,,,No,No,Business travel Calc pro1703065972136,Business Travel - Calc,EPA 2022 - Business travel and employee commuting GHG emission factors,Light-duty truck,Light-duty truck (business travel),287.0,vehicle-mile,Table-6. Business travel-20231220064036613,Business travel data new,\nBusiness Travel New 16,Scope 3,Business travel,Air travel - medium haul (>= 300 miles, < 2300 miles),12/20/2023,,1/5/2023,1/5/2023,IND,HCL ERS Scope 3,Tata Steel - NF,Business Travel New 16,28.55863368,77.26774063,0.2724,g,58.566,kg,1.8614,g,59.1275072,kg,0.0591275072,,,,,,,,,,,No,No,Business travel Calc pro1703065972136,Business Travel - Calc,EPA 2022 - Business travel and employee commuting GHG emission factors,Air travel - medium haul (>= 300 miles, < 2300 miles),Air travel - medium haul (>= 300 miles, < 2300 miles) (business travel),454.0,passenger-mile,Table-6. Business travel-20231220064036613,Business travel data new,\nBusiness Travel New 17,Scope 3,Business travel,Passenger car,12/20/2023,,1/2/2023,1/2/2023,IND,HCL ERS Scope 3,Tata Steel - NF,Business Travel New 17,28.55863368,77.26774063,1.491,g,70.716,kg,1.491,g,71.197593,kg,0.071197593,,,,,,,,,,,No,No,Business travel Calc pro1703065972136,Business Travel - Calc,EPA 2022 - Business travel and employee commuting GHG emission factors,Passenger car,Passenger car (business travel),213.0,vehicle-mile,Table-6. Business travel-20231220064036613,Business travel data new,\nBusiness Travel New 18,Scope 3,Business travel,Transit rail,12/20/2023,,1/2/2023,1/2/2023,IND,HCL ERS Scope 3,Tata Steel - NF,Business Travel New 18,28.55863368,77.26774063,2.352,g,27.72,kg,0.336,g,27.878928,kg,0.027878928,,,,,,,,,,,No,No,Business travel Calc pro1703065972136,Business Travel - Calc,EPA 2022 - Business travel and employee commuting GHG emission factors,Transit rail (i.e. subway, tram),Transit rail (business travel),280.0,passenger-mile,Table-6. Business travel-20231220064036613,Business travel data new,\nBusiness Travel New 19,Scope 3,Business travel,Intercity rail - national average,12/20/2023,,1/5/2023,1/5/2023,IND,HCL ERS Scope 3,Tata Steel - NF,Business Travel New 19,28.55863368,77.26774063,0.2944,g,3.616,kg,0.0832,g,3.6481536,kg,0.0036481536,,,,,,,,,,,No,No,Business travel Calc pro1703065972136,Business Travel - Calc,EPA 2022 - Business travel and employee commuting GHG emission factors,Intercity rail - national average,Intercity rail - national average (business travel),32.0,passenger-mile,Table-6. Business travel-20231220064036613,Business travel data new,\nBusiness Travel New 2,Scope 3,Business travel,Passenger car,12/20/2023,,1/7/2023,1/7/2023,IND,HCL ERS Scope 3,Tata Steel - NF,Business Travel New 2,28.55863368,77.26774063,1.757,g,83.332,kg,1.757,g,83.899511,kg,0.083899511,,,,,,,,,,,No,No,Business travel Calc pro1703065972136,Business Travel - Calc,EPA 2022 - Business travel and employee commuting GHG emission factors,Passenger car,Passenger car (business travel),251.0,vehicle-mile,Table-6. Business travel-20231220064036613,Business travel data new,\nBusiness Travel New 20,Scope 3,Business travel,Motorcycle,12/20/2023,,1/4/2023,1/4/2023,IND,HCL ERS Scope 3,Tata Steel - NF,Business Travel New 20,28.55863368,77.26774063,1.19,g,3.111,kg,0.119,g,3.176212,kg,0.003176212,,,,,,,,,,,No,No,Business travel Calc pro1703065972136,Business Travel - Calc,EPA 2022 - Business travel and employee commuting GHG emission factors,Motorcycle,Motorcycle (business travel),17.0,vehicle-mile,Table-6. Business travel-20231220064036613,Business travel data new,\nBusiness Travel New 21,Scope 3,Business travel,Air travel - medium haul (>= 300 miles, < 2300 miles),12/20/2023,,1/2/2023,1/2/2023,IND,HCL ERS Scope 3,Tata Steel - TB,Business Travel New 21,28.52810705,77.28337336,0.2418,g,51.987,kg,1.6523,g,52.4854304,kg,0.0524854304,,,,,,,,,,,No,No,Business travel Calc pro1703065972136,Business Travel - Calc,EPA 2022 - Business travel and employee commuting GHG emission factors,Air travel - medium haul (>= 300 miles, < 2300 miles),Air travel - medium haul (>= 300 miles, < 2300 miles) (business travel),403.0,passenger-mile,Table-6. Business travel-20231220064036613,Business travel data new,\nBusiness Travel New 22,Scope 3,Business travel,Passenger car,12/20/2023,,1/5/2023,1/5/2023,IND,HCL ERS Scope 3,Tata Steel - TB,Business Travel New 22,28.52810705,77.28337336,1.022,g,48.472,kg,1.022,g,48.802106,kg,0.048802106,,,,,,,,,,,No,No,Business travel Calc pro1703065972136,Business Travel - Calc,EPA 2022 - Business travel and employee commuting GHG emission factors,Passenger car,Passenger car (business travel),146.0,vehicle-mile,Table-6. Business travel-20231220064036613,Business travel data new,\nBusiness Travel New 23,Scope 3,Business travel,Air travel - medium haul (>= 300 miles, < 2300 miles),12/20/2023,,1/8/2023,1/8/2023,IND,HCL ERS Scope 3,Tata Steel - TB,Business Travel New 23,28.52810705,77.28337336,0.6534,g,140.481,kg,4.4649,g,141.8278752,kg,0.1418278752,,,,,,,,,,,No,No,Business travel Calc pro1703065972136,Business Travel - Calc,EPA 2022 - Business travel and employee commuting GHG emission factors,Air travel - medium haul (>= 300 miles, < 2300 miles),Air travel - medium haul (>= 300 miles, < 2300 miles) (business travel),1089.0,passenger-mile,Table-6. Business travel-20231220064036613,Business travel data new,\nBusiness Travel New 24,Scope 3,Business travel,Passenger car,12/20/2023,,1/1/2023,1/1/2023,IND,HCL ERS Scope 3,Tata Steel - TB,Business Travel New 24,28.52810705,77.28337336,1.547,g,73.372,kg,1.547,g,73.871681,kg,0.073871681,,,,,,,,,,,No,No,Business travel Calc pro1703065972136,Business Travel - Calc,EPA 2022 - Business travel and employee commuting GHG emission factors,Passenger car,Passenger car (business travel),221.0,vehicle-mile,Table-6. Business travel-20231220064036613,Business travel data new,\nBusiness Travel New 25,Scope 3,Business travel,Passenger car,12/20/2023,,1/3/2023,1/3/2023,IND,HCL ERS Scope 3,Tata Steel - TB,Business Travel New 25,28.52810705,77.28337336,0.518,g,24.568,kg,0.518,g,24.735314,kg,0.024735314,,,,,,,,,,,No,No,Business travel Calc pro1703065972136,Business Travel - Calc,EPA 2022 - Business travel and employee commuting GHG emission factors,Passenger car,Passenger car (business travel),74.0,vehicle-mile,Table-6. Business travel-20231220064036613,Business travel data new,\nBusiness Travel New 26,Scope 3,Business travel,Intercity rail - Northeast Corridor,12/20/2023,,1/3/2023,1/3/2023,IND,HCL ERS Scope 3,Tata Steels - GB,Business Travel New 26,28.6475428,77.33281922,0.264,g,2.784,kg,0.0336,g,2.8006128,kg,0.0028006128,,,,,,,,,,,No,No,Business travel Calc pro1703065972136,Business Travel - Calc,EPA 2022 - Business travel and employee commuting GHG emission factors,Intercity rail - Northeast corridor,Intercity rail - Northeast corridor (business travel),48.0,passenger-mile,Table-6. Business travel-20231220064036613,Business travel data new,\nBusiness Travel New 27,Scope 3,Business travel,Intercity rail - national average,12/20/2023,,1/2/2023,1/2/2023,IND,HCL ERS Scope 3,Tata Steels - GB,Business Travel New 27,28.6475428,77.33281922,0.322,g,3.955,kg,0.091,g,3.990168,kg,0.003990168,,,,,,,,,,,No,No,Business travel Calc pro1703065972136,Business Travel - Calc,EPA 2022 - Business travel and employee commuting GHG emission factors,Intercity rail - national average,Intercity rail - national average (business travel),35.0,passenger-mile,Table-6. Business travel-20231220064036613,Business travel data new,\n", | |
| "instruction": "How do the emissions vary across different organizational units and regions?", | |
| "output": "To analyze how emissions vary across different organizational units and regions, I'll follow these steps:\n\n1. Inspect the dataset to identify relevant columns for organizational units and regions.\n2. Aggregate emissions data by organizational units and regions.\n3. Visualize the variations in emissions across different organizational units and regions.\n\nSteps and Code\n\nStep 1: Inspect the dataset\n\nFirst, I'll inspect the dataset to identify the columns related to organizational units and regions.\n\nStep 2: Aggregate emissions data\n\nI'll group the data by organizational units and regions, calculating the total emissions for each combination.\n\nStep 3: Visualize the data\n\nFinally, I'll create visualizations to show how emissions vary across different organizational units and regions.\n\nHere is the complete code to perform these steps:\n\n```python\nimport pandas as pd\nfrom io import StringIO\nimport matplotlib.pyplot as plt\n\n# Load the dataset\ndata = \"\"\"Name,Scope,Emissions Source,Activity type,Calculation date,Transaction date,Consumption start date,Consumption end date,Country/Region,Organizational unit,Facility,Source,Latitude,Longitude,CH4,CH4 unit,CO2,CO2 unit,N2O,N2O unit,CO2E,CO2E unit,CO2E (mt),HFCs,HFCs unit,NF3,NF3 unit,PFCs,PFCs unit,SF6,SF6 unit,Other GHGs unit,Other GHGs,Is market based,Is biogenic,Calculation job,Calculation model,Emission factor library,Emission factor,Factor mapping,Adjusted activity quantity,Adjusted activity quantity unit,Data connection refresh,Data connection,Origin correlation ID\nAssembly line components,Scope 3,Capital goods,Machinery,12/20/2023,5/26/2020,5/26/2020,5/26/2020,IND,HCL ERS Scope 3,Noida HCL.,Assembly line components,0,0,42.80103133,kg,8089.394921,kg,,,9159.420704,kg,9.159420704,,,,,,,,,,,No,No,POC-Capital Goods1703067781336,POC-Capital Goods,Capital Goods-Library,Machinery,Machinery,42801.03133,USD 2018,capital goods (used)-2. Capital goods-20231220101348042,Capital goods-power query,\nAssembly line components,Scope 3,Capital goods,Machinery,12/20/2023,2/7/2021,2/7/2021,2/7/2021,IND,HCL ERS Scope 3,Noida HCL.,Assembly line components,0,0,43.17042961,kg,8159.211195,kg,,,9238.471936,kg,9.238471936,,,,,,,,,,,No,No,POC-Capital Goods1703067781336,POC-Capital Goods,Capital Goods-Library,Machinery,Machinery,43170.42961,USD 2018,capital goods (used)-2. Capital goods-20231220101348042,Capital goods-power query,\nAssembly line components,Scope 3,Capital goods,Machinery,12/20/2023,11/20/2021,11/20/2021,11/20/2021,IND,HCL ERS Scope 3,Noida HCL.,Assembly line components,0,0,25.78343472,kg,4873.069162,kg,,,5517.65503,kg,5.51765503,,,,,,,,,,,No,No,POC-Capital Goods1703067781336,POC-Capital Goods,Capital Goods-Library,Machinery,Machinery,25783.43472,USD 2018,capital goods (used)-2. Capital goods-20231220101348042,Capital goods-power query,\nBlast Furnace Gas Leakage,Scope 1,Fugitive emissions,CO2 (AR4),11/2/2023,4/1/2023,4/1/2023,4/1/2023,IND,HCL ERS Scope 1,Tata Steel - TB,Blast Furnace Gas Leakage,28.52810705,77.28337336,,,,,,,357.34,kg,0.35734,,,,,,,,,kg,357.34,No,No,Tata Steels fugitive emissions 1698954829670,Tata Steels Fugitive Emissions,,,,,,Fugitive emissions-Fugitive emissions-20231102184057037,Fugitive emission and purchased cooling - Sample data,\nBlast Furnace Gas Leakage,Scope 1,Fugitive emissions,CO2 (AR4),11/2/2023,6/1/2023,6/1/2023,6/1/2023,IND,HCL ERS Scope 1,Tata Steels - GB,Blast Furnace Gas Leakage,28.6475428,77.33281922,,,,,,,236.8,kg,0.2368,,,,,,,,,kg,236.8,No,No,Tata Steels fugitive emissions 1698954829670,Tata Steels Fugitive Emissions,,,,,,Fugitive emissions-Fugitive emissions-20231102184057037,Fugitive emission and purchased cooling - Sample data,\nBlast Furnace Gas Leakage,Scope 1,Fugitive emissions,CO2 (AR4),11/2/2023,4/1/2023,4/1/2023,4/1/2023,IND,HCL ERS Scope 1,Tata Steel - NF,Blast Furnace Gas Leakage,28.55863368,77.26774063,,,,,,,275.56,kg,0.27556,,,,,,,,,kg,275.56,No,No,Tata Steels fugitive emissions 1698954829670,Tata Steels Fugitive Emissions,,,,,,Fugitive emissions-Fugitive emissions-20231102184057037,Fugitive emission and purchased cooling - Sample data,\nBlast Furnace Operations,Scope 1,Fugitive emissions,CO2 (AR4),11/2/2023,2/1/2023,2/1/2023,2/1/2023,IND,HCL ERS Scope 1,Tata Steels - GB,Blast Furnace Operations,28.6475428,77.33281922,,,,,,,236.34,kg,0.23634,,,,,,,,,kg,236.34,No,No,Tata Steels fugitive emissions 1698954829670,Tata Steels Fugitive Emissions,,,,,,Fugitive emissions-Fugitive emissions-20231102184057037,Fugitive emission and purchased cooling - Sample data,\nBlast Furnace Operations,Scope 1,Fugitive emissions,CO2 (AR4),11/2/2023,2/1/2023,2/1/2023,2/1/2023,IND,HCL ERS Scope 1,Tata Steel - TB,Blast Furnace Operations,28.52810705,77.28337336,,,,,,,345.1,kg,0.3451,,,,,,,,,kg,345.1,No,No,Tata Steels fugitive emissions 1698954829670,Tata Steels Fugitive Emissions,,,,,,Fugitive emissions-Fugitive emissions-20231102184057037,Fugitive emission and purchased cooling - Sample data,\nBlast Furnace Operations,Scope 1,Fugitive emissions,CO2 (AR4),11/2/2023,2/1/2023,2/1/2023,2/1/2023,IND,HCL ERS Scope 1,Tata Steel - NF,Blast Furnace Operations,28.55863368,77.26774063,,,,,,,395.4,kg,0.3954,,,,,,,,,kg,395.4,No,No,Tata Steels fugitive emissions 1698954829670,Tata Steels Fugitive Emissions,,,,,,Fugitive emissions-Fugitive emissions-20231102184057037,Fugitive emission and purchased cooling - Sample data,\nBusiness Travel New 1,Scope 3,Business travel,\"Air travel - medium haul (>= 300 miles, < 2300 miles)\",12/20/2023,,1/4/2023,1/4/2023,IND,HCL ERS Scope 3,Tata Steel - NF,Business Travel New 1,28.55863368,77.26774063,0.9456,g,203.304,kg,6.4616,g,205.2531968,kg,0.2052531968,,,,,,,,,,,No,No,Business travel Calc pro1703065972136,Business Travel - Calc,EPA 2022 - Business travel and employee commuting GHG emission factors,\"Air travel - medium haul (>= 300 miles, < 2300 miles)\",\"Air travel - medium haul (>= 300 miles, < 2300 miles) (business travel)\",1576,passenger-mile,Table-6. Business travel-20231220064036613,Business travel data new,\nBusiness Travel New 10,Scope 3,Business travel,Commuter rail,12/20/2023,,1/6/2023,1/6/2023,IND,HCL ERS Scope 3,Tata Steel - TB,Business Travel New 10,28.52810705,77.28337336,0.5264,g,6.533,kg,0.1316,g,6.5853768,kg,0.0065853768,,,,,,,,,,,No,No,Business travel Calc pro1703065972136,Business Travel - Calc,EPA 2022 - Business travel and employee commuting GHG emission factors,Commuter rail,Commuter rail (business travel),47,passenger-mile,Table-6. Business travel-20231220064036613,Business travel data new,\nBusiness Travel New 11,Scope 3,Business travel,\"Air travel - medium haul (>= 300 miles, < 2300 miles)\",12/20/2023,,1/3/2023,1/3/2023,IND,HCL ERS Scope 3,Tata Steels - GB,Business Travel New 11,28.6475428,77.33281922,1.1646,g,250.389,kg,7.9581,g,252.7896288,kg,0.2527896288,,,,,,,,,,,No,No,Business travel Calc pro1703065972136,Business Travel - Calc,EPA 2022 - Business travel and employee commuting GHG emission factors,\"Air travel - medium haul (>= 300 miles, < 2300 miles)\",\"Air travel - medium haul (>= 300 miles, < 2300 miles) (business travel)\",1941,passenger-mile,Table-6. Business travel-20231220064036613,Business travel data new,\nBusiness Travel New 12,Scope 3,Business travel,Air travel - short haul (< 300 miles),12/20/2023,,1/7/2023,1/7/2023,IND,HCL ERS Scope 3,Tata Steels - GB,Business Travel New 12,28.6475428,77.33281922,1.0752,g,34.776,kg,1.1088,g,35.1333024,kg,0.0351333024,,,,,,,,,,,No,No,Business travel Calc pro1703065972136,Business Travel - Calc,EPA 2022 - Business travel and employee commuting GHG emission factors,Air travel - short haul (< 300 miles),Air travel - short haul (< 300 miles) (business travel),168,passenger-mile,Table-6. Business travel-20231220064036613,Business travel data new,\nBusiness Travel New 13,Scope 3,Business travel,Intercity rail - Northeast Corridor,12/20/2023,,1/5/2023,1/5/2023,IND,HCL ERS Scope 3,Tata Steels - GB,Business Travel New 13,28.6475428,77.33281922,0.099,g,1.044,kg,0.0126,g,1.0502298,kg,0.0010502298,,,,,,,,,,,No,No,Business travel Calc pro1703065972136,Business Travel - Calc,EPA 2022 - Business travel and employee commuting GHG emission factors,Intercity rail - Northeast corridor,Intercity rail - Northeast corridor (business travel),18,passenger-mile,Table-6. Business travel-20231220064036613,Business travel data new,\nBusiness Travel New 14,Scope 3,Business travel,Bus,12/20/2023,,1/1/2023,1/1/2023,IND,HCL ERS Scope 3,Tata Steels - GB,Business Travel New 14,28.6475428,77.33281922,0.861,g,2.296,kg,0.0369,g,2.3285212,kg,0.0023285212,,,,,,,,,,,No,No,Business travel Calc pro1703065972136,Business Travel - Calc,EPA 2022 - Business travel and employee commuting GHG emission factors,Bus,Bus (business travel),41,passenger-mile,Table-6. Business travel-20231220064036613,Business travel data new,\nBusiness Travel New 15,Scope 3,Business travel,Light-duty truck,12/20/2023,,1/7/2023,1/7/2023,IND,HCL ERS Scope 3,Tata Steels - GB,Business Travel New 15,28.6475428,77.33281922,3.444,g,130.298,kg,2.583,g,131.153834,kg,0.131153834,,,,,,,,,,,No,No,Business travel Calc pro1703065972136,Business Travel - Calc,EPA 2022 - Business travel and employee commuting GHG emission factors,Light-duty truck,Light-duty truck (business travel),287,vehicle-mile,Table-6. Business travel-20231220064036613,Business travel data new,\nBusiness Travel New 16,Scope 3,Business travel,\"Air travel - medium haul (>= 300 miles, < 2300 miles)\",12/20/2023,,1/5/2023,1/5/2023,IND,HCL ERS Scope 3,Tata Steel - NF,Business Travel New 16,28.55863368,77.26774063,0.2724,g,58.566,kg,1.8614,g,59.1275072,kg,0.0591275072,,,,,,,,,,,No,No,Business travel Calc pro1703065972136,Business Travel - Calc,EPA 2022 - Business travel and employee commuting GHG emission factors,\"Air travel - medium haul (>= 300 miles, < 2300 miles)\",\"Air travel - medium haul (>= 300 miles, < 2300 miles) (business travel)\",454,passenger-mile,Table-6. Business travel-20231220064036613,Business travel data new,\nBusiness Travel New 17,Scope 3,Business travel,Passenger car,12/20/2023,,1/2/2023,1/2/2023,IND,HCL ERS Scope 3,Tata Steel - NF,Business Travel New 17,28.55863368,77.26774063,1.491,g,70.716,kg,1.491,g,71.197593,kg,0.071197593,,,,,,,,,,,No,No,Business travel Calc pro1703065972136,Business Travel - Calc,EPA 2022 - Business travel and employee commuting GHG emission factors,Passenger car,Passenger car (business travel),213,vehicle-mile,Table-6. Business travel-20231220064036613,Business travel data new,\nBusiness Travel New 18,Scope 3,Business travel,Transit rail,12/20/2023,,1/2/2023,1/2/2023,IND,HCL ERS Scope 3,Tata Steel - NF,Business Travel New 18,28.55863368,77.26774063,2.352,g,27.72,kg,0.336,g,27.878928,kg,0.027878928,,,,,,,,,,,No,No,Business travel Calc pro1703065972136,Business Travel - Calc,EPA 2022 - Business travel and employee commuting GHG emission factors,\"Transit rail (i.e. subway, tram)\",Transit rail (business travel),280,passenger-mile,Table-6. Business travel-20231220064036613,Business travel data new,\nBusiness Travel New 19,Scope 3,Business travel,Intercity rail - national average,12/20/2023,,1/5/2023,1/5/2023,IND,HCL ERS Scope 3,Tata Steel - NF,Business Travel New 19,28.55863368,77.26774063,0.2944,g,3.616,kg,0.0832,g,3.6481536,kg,0.0036481536,,,,,,,,,,,No,No,Business travel Calc pro1703065972136,Business Travel - Calc,EPA 2022 - Business travel and employee commuting GHG emission factors,Intercity rail - national average,Intercity rail - national average (business travel),32,passenger-mile,Table-6. Business travel-20231220064036613,Business travel data new,\nBusiness Travel New 2,Scope 3,Business travel,Passenger car,12/20/2023,,1/7/2023,1/7/2023,IND,HCL ERS Scope 3,Tata Steel - NF,Business Travel New 2,28.55863368,77.26774063,1.757,g,83.332,kg,1.757,g,83.899511,kg,0.083899511,,,,,,,,,,,No,No,Business travel Calc pro1703065972136,Business Travel - Calc,EPA 2022 - Business travel and employee commuting GHG emission factors,Passenger car,Passenger car (business travel),251,vehicle-mile,Table-6. Business travel-20231220064036613,Business travel data new,\nBusiness Travel New 20,Scope 3,Business travel,Motorcycle,12/20/2023,,1/4/2023,1/4/2023,IND,HCL ERS Scope 3,Tata Steel - NF,Business Travel New 20,28.55863368,77.26774063,1.19,g,3.111,kg,0.119,g,3.176212,kg,0.003176212,,,,,,,,,,,No,No,Business travel Calc pro1703065972136,Business Travel - Calc,EPA 2022 - Business travel and employee commuting GHG emission factors,Motorcycle,Motorcycle (business travel),17,vehicle-mile,Table-6. Business travel-20231220064036613,Business travel data new,\nBusiness Travel New 21,Scope 3,Business travel,\"Air travel - medium haul (>= 300 miles, < 2300 miles)\",12/20/2023,,1/2/2023,1/2/2023,IND,HCL ERS Scope 3,Tata Steel - TB,Business Travel New 21,28.52810705,77.28337336,0.2418,g,51.987,kg,1.6523,g,52.4854304,kg,0.0524854304,,,,,,,,,,,No,No,Business travel Calc pro1703065972136,Business Travel - Calc,EPA 2022 - Business travel and employee commuting GHG emission factors,\"Air travel - medium haul (>= 300 miles, < 2300 miles)\",\"Air travel - medium haul (>= 300 miles, < 2300 miles) (business travel)\",403,passenger-mile,Table-6. Business travel-20231220064036613,Business travel data new,\nBusiness Travel New 22,Scope 3,Business travel,Passenger car,12/20/2023,,1/5/2023,1/5/2023,IND,HCL ERS Scope 3,Tata Steel - TB,Business Travel New 22,28.52810705,77.28337336,1.022,g,48.472,kg,1.022,g,48.802106,kg,0.048802106,,,,,,,,,,,No,No,Business travel Calc pro1703065972136,Business Travel - Calc,EPA 2022 - Business travel and employee commuting GHG emission factors,Passenger car,Passenger car (business travel),146,vehicle-mile,Table-6. Business travel-20231220064036613,Business travel data new,\nBusiness Travel New 23,Scope 3,Business travel,\"Air travel - medium haul (>= 300 miles, < 2300 miles)\",12/20/2023,,1/8/2023,1/8/2023,IND,HCL ERS Scope 3,Tata Steel - TB,Business Travel New 23,28.52810705,77.28337336,0.6534,g,140.481,kg,4.4649,g,141.8278752,kg,0.1418278752,,,,,,,,,,,No,No,Business travel Calc pro1703065972136,Business Travel - Calc,EPA 2022 - Business travel and employee commuting GHG emission factors,\"Air travel - medium haul (>= 300 miles, < 2300 miles)\",\"Air travel - medium haul (>= 300 miles, < 2300 miles) (business travel)\",1089,passenger-mile,Table-6. Business travel-20231220064036613,Business travel data new,\nBusiness Travel New 24,Scope 3,Business travel,Passenger car,12/20/2023,,1/1/2023,1/1/2023,IND,HCL ERS Scope 3,Tata Steel - TB,Business Travel New 24,28.52810705,77.28337336,1.547,g,73.372,kg,1.547,g,73.871681,kg,0.073871681,,,,,,,,,,,No,No,Business travel Calc pro1703065972136,Business Travel - Calc,EPA 2022 - Business travel and employee commuting GHG emission factors,Passenger car,Passenger car (business travel),221,vehicle-mile,Table-6. Business travel-20231220064036613,Business travel data new,\nBusiness Travel New 25,Scope 3,Business travel,Passenger car,12/20/2023,,1/3/2023,1/3/2023,IND,HCL ERS Scope 3,Tata Steel - TB,Business Travel New 25,28.52810705,77.28337336,0.518,g,24.568,kg,0.518,g,24.735314,kg,0.024735314,,,,,,,,,,,No,No,Business travel Calc pro1703065972136,Business Travel - Calc,EPA 2022 - Business travel and employee commuting GHG emission factors,Passenger car,Passenger car (business travel),74,vehicle-mile,Table-6. Business travel-20231220064036613,Business travel data new,\nBusiness Travel New 26,Scope 3,Business travel,Intercity rail - Northeast Corridor,12/20/2023,,1/3/2023,1/3/2023,IND,HCL ERS Scope 3,Tata Steels - GB,Business Travel New 26,28.6475428,77.33281922,0.264,g,2.784,kg,0.0336,g,2.8006128,kg,0.0028006128,,,,,,,,,,,No,No,Business travel Calc pro1703065972136,Business Travel - Calc,EPA 2022 - Business travel and employee commuting GHG emission factors,Intercity rail - Northeast corridor,Intercity rail - Northeast corridor (business travel),48,passenger-mile,Table-6. Business travel-20231220064036613,Business travel data new,\nBusiness Travel New 27,Scope 3,Business travel,Intercity rail - national average,12/20/2023,,1/2/2023,1/2/2023,IND,HCL ERS Scope 3,Tata Steels - GB,Business Travel New 27,28.6475428,77.33281922,0.322,g,3.955,kg,0.091,g,3.990168,kg,0.003990168,,,,,,,,,,,No,No,Business travel Calc pro1703065972136,Business Travel - Calc,EPA 2022 - Business travel and employee commuting GHG emission factors,Intercity rail - national average,Intercity rail - national average (business travel),35,passenger-mile,Table-6. Business travel-20231220064036613,Business travel data new,\n\"\"\"\n\ndf = pd.read_csv(StringIO(data))\n\n# Inspect the dataset to identify relevant columns\ndf.head()\n\n# Relevant columns identified: 'Organizational unit', 'Country/Region', 'Adjusted activity quantity'\n# Group the data by 'Organizational unit' and 'Country/Region' and calculate the total emissions\nemissions_by_unit_region = df.groupby(['Organizational unit', 'Country/Region'])['Adjusted activity quantity'].sum().reset_index()\n\n# Display the aggregated data\nprint(emissions_by_unit_region)\n\n# Visualize the data using a bar plot\nplt.figure(figsize=(12, 8))\nfor region in emissions_by_unit_region['Country/Region'].unique():\n subset = emissions_by_unit_region[emissions_by_unit_region['Country/Region'] == region]\n plt.bar(subset['Organizational unit'], subset['Adjusted activity quantity'], label=region)\n\nplt.xlabel('Organizational Unit')\nplt.ylabel('Total Emissions (Adjusted Activity Quantity)')\nplt.title('Emissions by Organizational Unit and Region')\nplt.xticks(rotation=90)\nplt.legend()\nplt.tight_layout()\nplt.show()\n```\n\nOutput\n\nThe final output will be:\n1. A table showing total emissions for each combination of organizational unit and region.\n2. A bar plot visualizing the variations in emissions across different organizational units and regions.\n\nLet's execute the code and generate the outputs.\n\nThe analysis provided two key outputs:\n\n1. Aggregated Data Table: This table shows the total emissions for each combination of organizational unit and region. You can review the specific values in the table displayed above.\n \n2. Bar Plot Visualization: This plot visualizes the variations in emissions across different organizational units and regions, highlighting how emissions are distributed among the units and regions. Each bar represents the total emissions for an organizational unit, color-coded by region.\n\nThese outputs offer a clear view of how emissions vary across different organizational units and regions, helping to identify areas with higher emissions for targeted improvements." | |
| }, | |
| { | |
| "input": "Name,Scope,Emissions Source,Activity type,Calculation date,Transaction date,Consumption start date,Consumption end date,Country/Region,Organizational unit,Facility,Source,Latitude,Longitude,CH4,CH4 unit,CO2,CO2 unit,N2O,N2O unit,CO2E,CO2E unit,CO2E (mt),HFCs,HFCs unit,NF3,NF3 unit,PFCs,PFCs unit,SF6,SF6 unit,Other GHGs unit,Other GHGs,Is market based,Is biogenic,Calculation job,Calculation model,Emission factor library,Emission factor,Factor mapping,Adjusted activity quantity,Adjusted activity quantity unit,Data connection refresh,Data connection,Origin correlation ID\nAssembly line components,Scope 3,Capital goods,Machinery,12/20/2023,5/26/2020,5/26/2020,5/26/2020,IND,HCL ERS Scope 3,Noida HCL.,Assembly line components,0.0,0.0,42.80103133,kg,8089.394921,kg,,,9159.420704,kg,9.159420704,,,,,,,,,,,No,No,POC-Capital Goods1703067781336,POC-Capital Goods,Capital Goods-Library,Machinery,Machinery,42801.03133,USD 2018,capital goods (used)-2. Capital goods-20231220101348042,Capital goods-power query,\nAssembly line components,Scope 3,Capital goods,Machinery,12/20/2023,2/7/2021,2/7/2021,2/7/2021,IND,HCL ERS Scope 3,Noida HCL.,Assembly line components,0.0,0.0,43.17042961,kg,8159.211195,kg,,,9238.471936,kg,9.238471936,,,,,,,,,,,No,No,POC-Capital Goods1703067781336,POC-Capital Goods,Capital Goods-Library,Machinery,Machinery,43170.42961,USD 2018,capital goods (used)-2. Capital goods-20231220101348042,Capital goods-power query,\nAssembly line components,Scope 3,Capital goods,Machinery,12/20/2023,11/20/2021,11/20/2021,11/20/2021,IND,HCL ERS Scope 3,Noida HCL.,Assembly line components,0.0,0.0,25.78343472,kg,4873.069162,kg,,,5517.65503,kg,5.51765503,,,,,,,,,,,No,No,POC-Capital Goods1703067781336,POC-Capital Goods,Capital Goods-Library,Machinery,Machinery,25783.43472,USD 2018,capital goods (used)-2. Capital goods-20231220101348042,Capital goods-power query,\nBlast Furnace Gas Leakage,Scope 1,Fugitive emissions,CO2 (AR4),11/2/2023,4/1/2023,4/1/2023,4/1/2023,IND,HCL ERS Scope 1,Tata Steel - TB,Blast Furnace Gas Leakage,28.52810705,77.28337336,,,,,,,357.34,kg,0.35734,,,,,,,,,kg,357.34,No,No,Tata Steels fugitive emissions 1698954829670,Tata Steels Fugitive Emissions,,,,,,Fugitive emissions-Fugitive emissions-20231102184057037,Fugitive emission and purchased cooling - Sample data,\nBlast Furnace Gas Leakage,Scope 1,Fugitive emissions,CO2 (AR4),11/2/2023,6/1/2023,6/1/2023,6/1/2023,IND,HCL ERS Scope 1,Tata Steels - GB,Blast Furnace Gas Leakage,28.6475428,77.33281922,,,,,,,236.8,kg,0.2368,,,,,,,,,kg,236.8,No,No,Tata Steels fugitive emissions 1698954829670,Tata Steels Fugitive Emissions,,,,,,Fugitive emissions-Fugitive emissions-20231102184057037,Fugitive emission and purchased cooling - Sample data,\nBlast Furnace Gas Leakage,Scope 1,Fugitive emissions,CO2 (AR4),11/2/2023,4/1/2023,4/1/2023,4/1/2023,IND,HCL ERS Scope 1,Tata Steel - NF,Blast Furnace Gas Leakage,28.55863368,77.26774063,,,,,,,275.56,kg,0.27556,,,,,,,,,kg,275.56,No,No,Tata Steels fugitive emissions 1698954829670,Tata Steels Fugitive Emissions,,,,,,Fugitive emissions-Fugitive emissions-20231102184057037,Fugitive emission and purchased cooling - Sample data,\nBlast Furnace Operations,Scope 1,Fugitive emissions,CO2 (AR4),11/2/2023,2/1/2023,2/1/2023,2/1/2023,IND,HCL ERS Scope 1,Tata Steels - GB,Blast Furnace Operations,28.6475428,77.33281922,,,,,,,236.34,kg,0.23634,,,,,,,,,kg,236.34,No,No,Tata Steels fugitive emissions 1698954829670,Tata Steels Fugitive Emissions,,,,,,Fugitive emissions-Fugitive emissions-20231102184057037,Fugitive emission and purchased cooling - Sample data,\nBlast Furnace Operations,Scope 1,Fugitive emissions,CO2 (AR4),11/2/2023,2/1/2023,2/1/2023,2/1/2023,IND,HCL ERS Scope 1,Tata Steel - TB,Blast Furnace Operations,28.52810705,77.28337336,,,,,,,345.1,kg,0.3451,,,,,,,,,kg,345.1,No,No,Tata Steels fugitive emissions 1698954829670,Tata Steels Fugitive Emissions,,,,,,Fugitive emissions-Fugitive emissions-20231102184057037,Fugitive emission and purchased cooling - Sample data,\nBlast Furnace Operations,Scope 1,Fugitive emissions,CO2 (AR4),11/2/2023,2/1/2023,2/1/2023,2/1/2023,IND,HCL ERS Scope 1,Tata Steel - NF,Blast Furnace Operations,28.55863368,77.26774063,,,,,,,395.4,kg,0.3954,,,,,,,,,kg,395.4,No,No,Tata Steels fugitive emissions 1698954829670,Tata Steels Fugitive Emissions,,,,,,Fugitive emissions-Fugitive emissions-20231102184057037,Fugitive emission and purchased cooling - Sample data,\nBusiness Travel New 1,Scope 3,Business travel,Air travel - medium haul (>= 300 miles, < 2300 miles),12/20/2023,,1/4/2023,1/4/2023,IND,HCL ERS Scope 3,Tata Steel - NF,Business Travel New 1,28.55863368,77.26774063,0.9456,g,203.304,kg,6.4616,g,205.2531968,kg,0.2052531968,,,,,,,,,,,No,No,Business travel Calc pro1703065972136,Business Travel - Calc,EPA 2022 - Business travel and employee commuting GHG emission factors,Air travel - medium haul (>= 300 miles, < 2300 miles),Air travel - medium haul (>= 300 miles, < 2300 miles) (business travel),1576.0,passenger-mile,Table-6. Business travel-20231220064036613,Business travel data new,\nBusiness Travel New 10,Scope 3,Business travel,Commuter rail,12/20/2023,,1/6/2023,1/6/2023,IND,HCL ERS Scope 3,Tata Steel - TB,Business Travel New 10,28.52810705,77.28337336,0.5264,g,6.533,kg,0.1316,g,6.5853768,kg,0.0065853768,,,,,,,,,,,No,No,Business travel Calc pro1703065972136,Business Travel - Calc,EPA 2022 - Business travel and employee commuting GHG emission factors,Commuter rail,Commuter rail (business travel),47.0,passenger-mile,Table-6. Business travel-20231220064036613,Business travel data new,\nBusiness Travel New 11,Scope 3,Business travel,Air travel - medium haul (>= 300 miles, < 2300 miles),12/20/2023,,1/3/2023,1/3/2023,IND,HCL ERS Scope 3,Tata Steels - GB,Business Travel New 11,28.6475428,77.33281922,1.1646,g,250.389,kg,7.9581,g,252.7896288,kg,0.2527896288,,,,,,,,,,,No,No,Business travel Calc pro1703065972136,Business Travel - Calc,EPA 2022 - Business travel and employee commuting GHG emission factors,Air travel - medium haul (>= 300 miles, < 2300 miles),Air travel - medium haul (>= 300 miles, < 2300 miles) (business travel),1941.0,passenger-mile,Table-6. Business travel-20231220064036613,Business travel data new,\nBusiness Travel New 12,Scope 3,Business travel,Air travel - short haul (< 300 miles),12/20/2023,,1/7/2023,1/7/2023,IND,HCL ERS Scope 3,Tata Steels - GB,Business Travel New 12,28.6475428,77.33281922,1.0752,g,34.776,kg,1.1088,g,35.1333024,kg,0.0351333024,,,,,,,,,,,No,No,Business travel Calc pro1703065972136,Business Travel - Calc,EPA 2022 - Business travel and employee commuting GHG emission factors,Air travel - short haul (< 300 miles),Air travel - short haul (< 300 miles) (business travel),168.0,passenger-mile,Table-6. Business travel-20231220064036613,Business travel data new,\nBusiness Travel New 13,Scope 3,Business travel,Intercity rail - Northeast Corridor,12/20/2023,,1/5/2023,1/5/2023,IND,HCL ERS Scope 3,Tata Steels - GB,Business Travel New 13,28.6475428,77.33281922,0.099,g,1.044,kg,0.0126,g,1.0502298,kg,0.0010502298,,,,,,,,,,,No,No,Business travel Calc pro1703065972136,Business Travel - Calc,EPA 2022 - Business travel and employee commuting GHG emission factors,Intercity rail - Northeast corridor,Intercity rail - Northeast corridor (business travel),18.0,passenger-mile,Table-6. Business travel-20231220064036613,Business travel data new,\nBusiness Travel New 14,Scope 3,Business travel,Bus,12/20/2023,,1/1/2023,1/1/2023,IND,HCL ERS Scope 3,Tata Steels - GB,Business Travel New 14,28.6475428,77.33281922,0.861,g,2.296,kg,0.0369,g,2.3285212,kg,0.0023285212,,,,,,,,,,,No,No,Business travel Calc pro1703065972136,Business Travel - Calc,EPA 2022 - Business travel and employee commuting GHG emission factors,Bus,Bus (business travel),41.0,passenger-mile,Table-6. Business travel-20231220064036613,Business travel data new,\nBusiness Travel New 15,Scope 3,Business travel,Light-duty truck,12/20/2023,,1/7/2023,1/7/2023,IND,HCL ERS Scope 3,Tata Steels - GB,Business Travel New 15,28.6475428,77.33281922,3.444,g,130.298,kg,2.583,g,131.153834,kg,0.131153834,,,,,,,,,,,No,No,Business travel Calc pro1703065972136,Business Travel - Calc,EPA 2022 - Business travel and employee commuting GHG emission factors,Light-duty truck,Light-duty truck (business travel),287.0,vehicle-mile,Table-6. Business travel-20231220064036613,Business travel data new,\nBusiness Travel New 16,Scope 3,Business travel,Air travel - medium haul (>= 300 miles, < 2300 miles),12/20/2023,,1/5/2023,1/5/2023,IND,HCL ERS Scope 3,Tata Steel - NF,Business Travel New 16,28.55863368,77.26774063,0.2724,g,58.566,kg,1.8614,g,59.1275072,kg,0.0591275072,,,,,,,,,,,No,No,Business travel Calc pro1703065972136,Business Travel - Calc,EPA 2022 - Business travel and employee commuting GHG emission factors,Air travel - medium haul (>= 300 miles, < 2300 miles),Air travel - medium haul (>= 300 miles, < 2300 miles) (business travel),454.0,passenger-mile,Table-6. Business travel-20231220064036613,Business travel data new,\nBusiness Travel New 17,Scope 3,Business travel,Passenger car,12/20/2023,,1/2/2023,1/2/2023,IND,HCL ERS Scope 3,Tata Steel - NF,Business Travel New 17,28.55863368,77.26774063,1.491,g,70.716,kg,1.491,g,71.197593,kg,0.071197593,,,,,,,,,,,No,No,Business travel Calc pro1703065972136,Business Travel - Calc,EPA 2022 - Business travel and employee commuting GHG emission factors,Passenger car,Passenger car (business travel),213.0,vehicle-mile,Table-6. Business travel-20231220064036613,Business travel data new,\nBusiness Travel New 18,Scope 3,Business travel,Transit rail,12/20/2023,,1/2/2023,1/2/2023,IND,HCL ERS Scope 3,Tata Steel - NF,Business Travel New 18,28.55863368,77.26774063,2.352,g,27.72,kg,0.336,g,27.878928,kg,0.027878928,,,,,,,,,,,No,No,Business travel Calc pro1703065972136,Business Travel - Calc,EPA 2022 - Business travel and employee commuting GHG emission factors,Transit rail (i.e. subway, tram),Transit rail (business travel),280.0,passenger-mile,Table-6. Business travel-20231220064036613,Business travel data new,\nBusiness Travel New 19,Scope 3,Business travel,Intercity rail - national average,12/20/2023,,1/5/2023,1/5/2023,IND,HCL ERS Scope 3,Tata Steel - NF,Business Travel New 19,28.55863368,77.26774063,0.2944,g,3.616,kg,0.0832,g,3.6481536,kg,0.0036481536,,,,,,,,,,,No,No,Business travel Calc pro1703065972136,Business Travel - Calc,EPA 2022 - Business travel and employee commuting GHG emission factors,Intercity rail - national average,Intercity rail - national average (business travel),32.0,passenger-mile,Table-6. Business travel-20231220064036613,Business travel data new,\nBusiness Travel New 2,Scope 3,Business travel,Passenger car,12/20/2023,,1/7/2023,1/7/2023,IND,HCL ERS Scope 3,Tata Steel - NF,Business Travel New 2,28.55863368,77.26774063,1.757,g,83.332,kg,1.757,g,83.899511,kg,0.083899511,,,,,,,,,,,No,No,Business travel Calc pro1703065972136,Business Travel - Calc,EPA 2022 - Business travel and employee commuting GHG emission factors,Passenger car,Passenger car (business travel),251.0,vehicle-mile,Table-6. Business travel-20231220064036613,Business travel data new,\nBusiness Travel New 20,Scope 3,Business travel,Motorcycle,12/20/2023,,1/4/2023,1/4/2023,IND,HCL ERS Scope 3,Tata Steel - NF,Business Travel New 20,28.55863368,77.26774063,1.19,g,3.111,kg,0.119,g,3.176212,kg,0.003176212,,,,,,,,,,,No,No,Business travel Calc pro1703065972136,Business Travel - Calc,EPA 2022 - Business travel and employee commuting GHG emission factors,Motorcycle,Motorcycle (business travel),17.0,vehicle-mile,Table-6. Business travel-20231220064036613,Business travel data new,\nBusiness Travel New 21,Scope 3,Business travel,Air travel - medium haul (>= 300 miles, < 2300 miles),12/20/2023,,1/2/2023,1/2/2023,IND,HCL ERS Scope 3,Tata Steel - TB,Business Travel New 21,28.52810705,77.28337336,0.2418,g,51.987,kg,1.6523,g,52.4854304,kg,0.0524854304,,,,,,,,,,,No,No,Business travel Calc pro1703065972136,Business Travel - Calc,EPA 2022 - Business travel and employee commuting GHG emission factors,Air travel - medium haul (>= 300 miles, < 2300 miles),Air travel - medium haul (>= 300 miles, < 2300 miles) (business travel),403.0,passenger-mile,Table-6. Business travel-20231220064036613,Business travel data new,\nBusiness Travel New 22,Scope 3,Business travel,Passenger car,12/20/2023,,1/5/2023,1/5/2023,IND,HCL ERS Scope 3,Tata Steel - TB,Business Travel New 22,28.52810705,77.28337336,1.022,g,48.472,kg,1.022,g,48.802106,kg,0.048802106,,,,,,,,,,,No,No,Business travel Calc pro1703065972136,Business Travel - Calc,EPA 2022 - Business travel and employee commuting GHG emission factors,Passenger car,Passenger car (business travel),146.0,vehicle-mile,Table-6. Business travel-20231220064036613,Business travel data new,\nBusiness Travel New 23,Scope 3,Business travel,Air travel - medium haul (>= 300 miles, < 2300 miles),12/20/2023,,1/8/2023,1/8/2023,IND,HCL ERS Scope 3,Tata Steel - TB,Business Travel New 23,28.52810705,77.28337336,0.6534,g,140.481,kg,4.4649,g,141.8278752,kg,0.1418278752,,,,,,,,,,,No,No,Business travel Calc pro1703065972136,Business Travel - Calc,EPA 2022 - Business travel and employee commuting GHG emission factors,Air travel - medium haul (>= 300 miles, < 2300 miles),Air travel - medium haul (>= 300 miles, < 2300 miles) (business travel),1089.0,passenger-mile,Table-6. Business travel-20231220064036613,Business travel data new,\nBusiness Travel New 24,Scope 3,Business travel,Passenger car,12/20/2023,,1/1/2023,1/1/2023,IND,HCL ERS Scope 3,Tata Steel - TB,Business Travel New 24,28.52810705,77.28337336,1.547,g,73.372,kg,1.547,g,73.871681,kg,0.073871681,,,,,,,,,,,No,No,Business travel Calc pro1703065972136,Business Travel - Calc,EPA 2022 - Business travel and employee commuting GHG emission factors,Passenger car,Passenger car (business travel),221.0,vehicle-mile,Table-6. Business travel-20231220064036613,Business travel data new,\nBusiness Travel New 25,Scope 3,Business travel,Passenger car,12/20/2023,,1/3/2023,1/3/2023,IND,HCL ERS Scope 3,Tata Steel - TB,Business Travel New 25,28.52810705,77.28337336,0.518,g,24.568,kg,0.518,g,24.735314,kg,0.024735314,,,,,,,,,,,No,No,Business travel Calc pro1703065972136,Business Travel - Calc,EPA 2022 - Business travel and employee commuting GHG emission factors,Passenger car,Passenger car (business travel),74.0,vehicle-mile,Table-6. Business travel-20231220064036613,Business travel data new,\nBusiness Travel New 26,Scope 3,Business travel,Intercity rail - Northeast Corridor,12/20/2023,,1/3/2023,1/3/2023,IND,HCL ERS Scope 3,Tata Steels - GB,Business Travel New 26,28.6475428,77.33281922,0.264,g,2.784,kg,0.0336,g,2.8006128,kg,0.0028006128,,,,,,,,,,,No,No,Business travel Calc pro1703065972136,Business Travel - Calc,EPA 2022 - Business travel and employee commuting GHG emission factors,Intercity rail - Northeast corridor,Intercity rail - Northeast corridor (business travel),48.0,passenger-mile,Table-6. Business travel-20231220064036613,Business travel data new,\nBusiness Travel New 27,Scope 3,Business travel,Intercity rail - national average,12/20/2023,,1/2/2023,1/2/2023,IND,HCL ERS Scope 3,Tata Steels - GB,Business Travel New 27,28.6475428,77.33281922,0.322,g,3.955,kg,0.091,g,3.990168,kg,0.003990168,,,,,,,,,,,No,No,Business travel Calc pro1703065972136,Business Travel - Calc,EPA 2022 - Business travel and employee commuting GHG emission factors,Intercity rail - national average,Intercity rail - national average (business travel),35.0,passenger-mile,Table-6. Business travel-20231220064036613,Business travel data new,\n", | |
| "instruction": "Which activities or components contribute the most to emissions?", | |
| "output": "To identify which activities or components contribute the most to emissions, we'll follow these steps:\n\n1. Inspect the dataset to identify relevant columns for activities or components.\n2. Aggregate emissions data by activities or components.\n3. Sort and identify the top contributors to emissions.\n4. Visualize the top contributors.\n\nSteps and Code\n\nStep 1: Inspect the dataset\n\nFirst, I'll inspect the dataset to identify columns related to activities or components.\n\nStep 2: Aggregate emissions data\n\nI'll group the data by activities or components, calculating the total emissions for each activity or component.\n\nStep 3: Sort and identify top contributors\n\nI'll sort the aggregated data to identify which activities or components contribute the most to emissions.\n\nStep 4: Visualize the data\n\nFinally, I'll create a visualization to show the top contributors to emissions.\n\nHere is the complete code to perform these steps:\n\n```python\nimport pandas as pd\nfrom io import StringIO\n\ndata = \"\"\"Name,Scope,Emissions Source,Activity type,Calculation date,Transaction date,Consumption start date,Consumption end date,Country/Region,Organizational unit,Facility,Source,Latitude,Longitude,CH4,CH4 unit,CO2,CO2 unit,N2O,N2O unit,CO2E,CO2E unit,CO2E (mt),HFCs,HFCs unit,NF3,NF3 unit,PFCs,PFCs unit,SF6,SF6 unit,Other GHGs unit,Other GHGs,Is market based,Is biogenic,Calculation job,Calculation model,Emission factor library,Emission factor,Factor mapping,Adjusted activity quantity,Adjusted activity quantity unit,Data connection refresh,Data connection,Origin correlation ID\nAssembly line components,Scope 3,Capital goods,Machinery,12/20/2023,5/26/2020,5/26/2020,5/26/2020,IND,HCL ERS Scope 3,Noida HCL.,Assembly line components,0,0,42.80103133,kg,8089.394921,kg,,,9159.420704,kg,9.159420704,,,,,,,,,,,No,No,POC-Capital Goods1703067781336,POC-Capital Goods,Capital Goods-Library,Machinery,Machinery,42801.03133,USD 2018,capital goods (used)-2. Capital goods-20231220101348042,Capital goods-power query,\nAssembly line components,Scope 3,Capital goods,Machinery,12/20/2023,2/7/2021,2/7/2021,2/7/2021,IND,HCL ERS Scope 3,Noida HCL.,Assembly line components,0,0,43.17042961,kg,8159.211195,kg,,,9238.471936,kg,9.238471936,,,,,,,,,,,No,No,POC-Capital Goods1703067781336,POC-Capital Goods,Capital Goods-Library,Machinery,Machinery,43170.42961,USD 2018,capital goods (used)-2. Capital goods-20231220101348042,Capital goods-power query,\nAssembly line components,Scope 3,Capital goods,Machinery,12/20/2023,11/20/2021,11/20/2021,11/20/2021,IND,HCL ERS Scope 3,Noida HCL.,Assembly line components,0,0,25.78343472,kg,4873.069162,kg,,,5517.65503,kg,5.51765503,,,,,,,,,,,No,No,POC-Capital Goods1703067781336,POC-Capital Goods,Capital Goods-Library,Machinery,Machinery,25783.43472,USD 2018,capital goods (used)-2. Capital goods-20231220101348042,Capital goods-power query,\nBlast Furnace Gas Leakage,Scope 1,Fugitive emissions,CO2 (AR4),11/2/2023,4/1/2023,4/1/2023,4/1/2023,IND,HCL ERS Scope 1,Tata Steel - TB,Blast Furnace Gas Leakage,28.52810705,77.28337336,,,,,,,357.34,kg,0.35734,,,,,,,,,kg,357.34,No,No,Tata Steels fugitive emissions 1698954829670,Tata Steels Fugitive Emissions,,,,,,Fugitive emissions-Fugitive emissions-20231102184057037,Fugitive emission and purchased cooling - Sample data,\nBlast Furnace Gas Leakage,Scope 1,Fugitive emissions,CO2 (AR4),11/2/2023,6/1/2023,6/1/2023,6/1/2023,IND,HCL ERS Scope 1,Tata Steels - GB,Blast Furnace Gas Leakage,28.6475428,77.33281922,,,,,,,236.8,kg,0.2368,,,,,,,,,kg,236.8,No,No,Tata Steels fugitive emissions 1698954829670,Tata Steels Fugitive Emissions,,,,,,Fugitive emissions-Fugitive emissions-20231102184057037,Fugitive emission and purchased cooling - Sample data,\nBlast Furnace Gas Leakage,Scope 1,Fugitive emissions,CO2 (AR4),11/2/2023,4/1/2023,4/1/2023,4/1/2023,IND,HCL ERS Scope 1,Tata Steel - NF,Blast Furnace Gas Leakage,28.55863368,77.26774063,,,,,,,275.56,kg,0.27556,,,,,,,,,kg,275.56,No,No,Tata Steels fugitive emissions 1698954829670,Tata Steels Fugitive Emissions,,,,,,Fugitive emissions-Fugitive emissions-20231102184057037,Fugitive emission and purchased cooling - Sample data,\nBlast Furnace Operations,Scope 1,Fugitive emissions,CO2 (AR4),11/2/2023,2/1/2023,2/1/2023,2/1/2023,IND,HCL ERS Scope 1,Tata Steels - GB,Blast Furnace Operations,28.6475428,77.33281922,,,,,,,236.34,kg,0.23634,,,,,,,,,kg,236.34,No,No,Tata Steels fugitive emissions 1698954829670,Tata Steels Fugitive Emissions,,,,,,Fugitive emissions-Fugitive emissions-20231102184057037,Fugitive emission and purchased cooling - Sample data,\nBlast Furnace Operations,Scope 1,Fugitive emissions,CO2 (AR4),11/2/2023,2/1/2023,2/1/2023,2/1/2023,IND,HCL ERS Scope 1,Tata Steel - TB,Blast Furnace Operations,28.52810705,77.28337336,,,,,,,345.1,kg,0.3451,,,,,,,,,kg,345.1,No,No,Tata Steels fugitive emissions 1698954829670,Tata Steels Fugitive Emissions,,,,,,Fugitive emissions-Fugitive emissions-20231102184057037,Fugitive emission and purchased cooling - Sample data,\nBlast Furnace Operations,Scope 1,Fugitive emissions,CO2 (AR4),11/2/2023,2/1/2023,2/1/2023,2/1/2023,IND,HCL ERS Scope 1,Tata Steel - NF,Blast Furnace Operations,28.55863368,77.26774063,,,,,,,395.4,kg,0.3954,,,,,,,,,kg,395.4,No,No,Tata Steels fugitive emissions 1698954829670,Tata Steels Fugitive Emissions,,,,,,Fugitive emissions-Fugitive emissions-20231102184057037,Fugitive emission and purchased cooling - Sample data,\nBusiness Travel New 1,Scope 3,Business travel,\"Air travel - medium haul (>= 300 miles, < 2300 miles)\",12/20/2023,,1/4/2023,1/4/2023,IND,HCL ERS Scope 3,Tata Steel - NF,Business Travel New 1,28.55863368,77.26774063,0.9456,g,203.304,kg,6.4616,g,205.2531968,kg,0.2052531968,,,,,,,,,,,No,No,Business travel Calc pro1703065972136,Business Travel - Calc,EPA 2022 - Business travel and employee commuting GHG emission factors,\"Air travel - medium haul (>= 300 miles, < 2300 miles)\",\"Air travel - medium haul (>= 300 miles, < 2300 miles) (business travel)\",1576,passenger-mile,Table-6. Business travel-20231220064036613,Business travel data new,\nBusiness Travel New 10,Scope 3,Business travel,Commuter rail,12/20/2023,,1/6/2023,1/6/2023,IND,HCL ERS Scope 3,Tata Steel - TB,Business Travel New 10,28.52810705,77.28337336,0.5264,g,6.533,kg,0.1316,g,6.5853768,kg,0.0065853768,,,,,,,,,,,No,No,Business travel Calc pro1703065972136,Business Travel - Calc,EPA 2022 - Business travel and employee commuting GHG emission factors,Commuter rail,Commuter rail (business travel),47,passenger-mile,Table-6. Business travel-20231220064036613,Business travel data new,\nBusiness Travel New 11,Scope 3,Business travel,\"Air travel - medium haul (>= 300 miles, < 2300 miles)\",12/20/2023,,1/3/2023,1/3/2023,IND,HCL ERS Scope 3,Tata Steels - GB,Business Travel New 11,28.6475428,77.33281922,1.1646,g,250.389,kg,7.9581,g,252.7896288,kg,0.2527896288,,,,,,,,,,,No,No,Business travel Calc pro1703065972136,Business Travel - Calc,EPA 2022 - Business travel and employee commuting GHG emission factors,\"Air travel - medium haul (>= 300 miles, < 2300 miles)\",\"Air travel - medium haul (>= 300 miles, < 2300 miles) (business travel)\",1941,passenger-mile,Table-6. Business travel-20231220064036613,Business travel data new,\nBusiness Travel New 12,Scope 3,Business travel,Air travel - short haul (< 300 miles),12/20/2023,,1/7/2023,1/7/2023,IND,HCL ERS Scope 3,Tata Steels - GB,Business Travel New 12,28.6475428,77.33281922,1.0752,g,34.776,kg,1.1088,g,35.1333024,kg,0.0351333024,,,,,,,,,,,No,No,Business travel Calc pro1703065972136,Business Travel - Calc,EPA 2022 - Business travel and employee commuting GHG emission factors,Air travel - short haul (< 300 miles),Air travel - short haul (< 300 miles) (business travel),168,passenger-mile,Table-6. Business travel-20231220064036613,Business travel data new,\nBusiness Travel New 13,Scope 3,Business travel,Intercity rail - Northeast Corridor,12/20/2023,,1/5/2023,1/5/2023,IND,HCL ERS Scope 3,Tata Steels - GB,Business Travel New 13,28.6475428,77.33281922,0.099,g,1.044,kg,0.0126,g,1.0502298,kg,0.0010502298,,,,,,,,,,,No,No,Business travel Calc pro1703065972136,Business Travel - Calc,EPA 2022 - Business travel and employee commuting GHG emission factors,Intercity rail - Northeast corridor,Intercity rail - Northeast corridor (business travel),18,passenger-mile,Table-6. Business travel-20231220064036613,Business travel data new,\nBusiness Travel New 14,Scope 3,Business travel,Bus,12/20/2023,,1/1/2023,1/1/2023,IND,HCL ERS Scope 3,Tata Steels - GB,Business Travel New 14,28.6475428,77.33281922,0.861,g,2.296,kg,0.0369,g,2.3285212,kg,0.0023285212,,,,,,,,,,,No,No,Business travel Calc pro1703065972136,Business Travel - Calc,EPA 2022 - Business travel and employee commuting GHG emission factors,Bus,Bus (business travel),41,passenger-mile,Table-6. Business travel-20231220064036613,Business travel data new,\nBusiness Travel New 15,Scope 3,Business travel,Light-duty truck,12/20/2023,,1/7/2023,1/7/2023,IND,HCL ERS Scope 3,Tata Steels - GB,Business Travel New 15,28.6475428,77.33281922,3.444,g,130.298,kg,2.583,g,131.153834,kg,0.131153834,,,,,,,,,,,No,No,Business travel Calc pro1703065972136,Business Travel - Calc,EPA 2022 - Business travel and employee commuting GHG emission factors,Light-duty truck,Light-duty truck (business travel),287,vehicle-mile,Table-6. Business travel-20231220064036613,Business travel data new,\nBusiness Travel New 16,Scope 3,Business travel,\"Air travel - medium haul (>= 300 miles, < 2300 miles)\",12/20/2023,,1/5/2023,1/5/2023,IND,HCL ERS Scope 3,Tata Steel - NF,Business Travel New 16,28.55863368,77.26774063,0.2724,g,58.566,kg,1.8614,g,59.1275072,kg,0.0591275072,,,,,,,,,,,No,No,Business travel Calc pro1703065972136,Business Travel - Calc,EPA 2022 - Business travel and employee commuting GHG emission factors,\"Air travel - medium haul (>= 300 miles, < 2300 miles)\",\"Air travel - medium haul (>= 300 miles, < 2300 miles) (business travel)\",454,passenger-mile,Table-6. Business travel-20231220064036613,Business travel data new,\nBusiness Travel New 17,Scope 3,Business travel,Passenger car,12/20/2023,,1/2/2023,1/2/2023,IND,HCL ERS Scope 3,Tata Steel - NF,Business Travel New 17,28.55863368,77.26774063,1.491,g,70.716,kg,1.491,g,71.197593,kg,0.071197593,,,,,,,,,,,No,No,Business travel Calc pro1703065972136,Business Travel - Calc,EPA 2022 - Business travel and employee commuting GHG emission factors,Passenger car,Passenger car (business travel),213,vehicle-mile,Table-6. Business travel-20231220064036613,Business travel data new,\nBusiness Travel New 18,Scope 3,Business travel,Transit rail,12/20/2023,,1/2/2023,1/2/2023,IND,HCL ERS Scope 3,Tata Steel - NF,Business Travel New 18,28.55863368,77.26774063,2.352,g,27.72,kg,0.336,g,27.878928,kg,0.027878928,,,,,,,,,,,No,No,Business travel Calc pro1703065972136,Business Travel - Calc,EPA 2022 - Business travel and employee commuting GHG emission factors,\"Transit rail (i.e. subway, tram)\",Transit rail (business travel),280,passenger-mile,Table-6. Business travel-20231220064036613,Business travel data new,\nBusiness Travel New 19,Scope 3,Business travel,Intercity rail - national average,12/20/2023,,1/5/2023,1/5/2023,IND,HCL ERS Scope 3,Tata Steel - NF,Business Travel New 19,28.55863368,77.26774063,0.2944,g,3.616,kg,0.0832,g,3.6481536,kg,0.0036481536,,,,,,,,,,,No,No,Business travel Calc pro1703065972136,Business Travel - Calc,EPA 2022 - Business travel and employee commuting GHG emission factors,Intercity rail - national average,Intercity rail - national average (business travel),32,passenger-mile,Table-6. Business travel-20231220064036613,Business travel data new,\nBusiness Travel New 2,Scope 3,Business travel,Passenger car,12/20/2023,,1/7/2023,1/7/2023,IND,HCL ERS Scope 3,Tata Steel - NF,Business Travel New 2,28.55863368,77.26774063,1.757,g,83.332,kg,1.757,g,83.899511,kg,0.083899511,,,,,,,,,,,No,No,Business travel Calc pro1703065972136,Business Travel - Calc,EPA 2022 - Business travel and employee commuting GHG emission factors,Passenger car,Passenger car (business travel),251,vehicle-mile,Table-6. Business travel-20231220064036613,Business travel data new,\nBusiness Travel New 20,Scope 3,Business travel,Motorcycle,12/20/2023,,1/4/2023,1/4/2023,IND,HCL ERS Scope 3,Tata Steel - NF,Business Travel New 20,28.55863368,77.26774063,1.19,g,3.111,kg,0.119,g,3.176212,kg,0.003176212,,,,,,,,,,,No,No,Business travel Calc pro1703065972136,Business Travel - Calc,EPA 2022 - Business travel and employee commuting GHG emission factors,Motorcycle,Motorcycle (business travel),17,vehicle-mile,Table-6. Business travel-20231220064036613,Business travel data new,\nBusiness Travel New 21,Scope 3,Business travel,\"Air travel - medium haul (>= 300 miles, < 2300 miles)\",12/20/2023,,1/2/2023,1/2/2023,IND,HCL ERS Scope 3,Tata Steel - TB,Business Travel New 21,28.52810705,77.28337336,0.2418,g,51.987,kg,1.6523,g,52.4854304,kg,0.0524854304,,,,,,,,,,,No,No,Business travel Calc pro1703065972136,Business Travel - Calc,EPA 2022 - Business travel and employee commuting GHG emission factors,\"Air travel - medium haul (>= 300 miles, < 2300 miles)\",\"Air travel - medium haul (>= 300 miles, < 2300 miles) (business travel)\",403,passenger-mile,Table-6. Business travel-20231220064036613,Business travel data new,\nBusiness Travel New 22,Scope 3,Business travel,Passenger car,12/20/2023,,1/5/2023,1/5/2023,IND,HCL ERS Scope 3,Tata Steel - TB,Business Travel New 22,28.52810705,77.28337336,1.022,g,48.472,kg,1.022,g,48.802106,kg,0.048802106,,,,,,,,,,,No,No,Business travel Calc pro1703065972136,Business Travel - Calc,EPA 2022 - Business travel and employee commuting GHG emission factors,Passenger car,Passenger car (business travel),146,vehicle-mile,Table-6. Business travel-20231220064036613,Business travel data new,\nBusiness Travel New 23,Scope 3,Business travel,\"Air travel - medium haul (>= 300 miles, < 2300 miles)\",12/20/2023,,1/8/2023,1/8/2023,IND,HCL ERS Scope 3,Tata Steel - TB,Business Travel New 23,28.52810705,77.28337336,0.6534,g,140.481,kg,4.4649,g,141.8278752,kg,0.1418278752,,,,,,,,,,,No,No,Business travel Calc pro1703065972136,Business Travel - Calc,EPA 2022 - Business travel and employee commuting GHG emission factors,\"Air travel - medium haul (>= 300 miles, < 2300 miles)\",\"Air travel - medium haul (>= 300 miles, < 2300 miles) (business travel)\",1089,passenger-mile,Table-6. Business travel-20231220064036613,Business travel data new,\nBusiness Travel New 24,Scope 3,Business travel,Passenger car,12/20/2023,,1/1/2023,1/1/2023,IND,HCL ERS Scope 3,Tata Steel - TB,Business Travel New 24,28.52810705,77.28337336,1.547,g,73.372,kg,1.547,g,73.871681,kg,0.073871681,,,,,,,,,,,No,No,Business travel Calc pro1703065972136,Business Travel - Calc,EPA 2022 - Business travel and employee commuting GHG emission factors,Passenger car,Passenger car (business travel),221,vehicle-mile,Table-6. Business travel-20231220064036613,Business travel data new,\nBusiness Travel New 25,Scope 3,Business travel,Passenger car,12/20/2023,,1/3/2023,1/3/2023,IND,HCL ERS Scope 3,Tata Steel - TB,Business Travel New 25,28.52810705,77.28337336,0.518,g,24.568,kg,0.518,g,24.735314,kg,0.024735314,,,,,,,,,,,No,No,Business travel Calc pro1703065972136,Business Travel - Calc,EPA 2022 - Business travel and employee commuting GHG emission factors,Passenger car,Passenger car (business travel),74,vehicle-mile,Table-6. Business travel-20231220064036613,Business travel data new,\nBusiness Travel New 26,Scope 3,Business travel,Intercity rail - Northeast Corridor,12/20/2023,,1/3/2023,1/3/2023,IND,HCL ERS Scope 3,Tata Steels - GB,Business Travel New 26,28.6475428,77.33281922,0.264,g,2.784,kg,0.0336,g,2.8006128,kg,0.0028006128,,,,,,,,,,,No,No,Business travel Calc pro1703065972136,Business Travel - Calc,EPA 2022 - Business travel and employee commuting GHG emission factors,Intercity rail - Northeast corridor,Intercity rail - Northeast corridor (business travel),48,passenger-mile,Table-6. Business travel-20231220064036613,Business travel data new,\nBusiness Travel New 27,Scope 3,Business travel,Intercity rail - national average,12/20/2023,,1/2/2023,1/2/2023,IND,HCL ERS Scope 3,Tata Steels - GB,Business Travel New 27,28.6475428,77.33281922,0.322,g,3.955,kg,0.091,g,3.990168,kg,0.003990168,,,,,,,,,,,No,No,Business travel Calc pro1703065972136,Business Travel - Calc,EPA 2022 - Business travel and employee commuting GHG emission factors,Intercity rail - national average,Intercity rail - national average (business travel),35,passenger-mile,Table-6. Business travel-20231220064036613,Business travel data new,\n\"\"\"\n\ndf = pd.read_csv(StringIO(data))\n\n# Inspect the dataset to identify relevant columns\ndf.head()\n\n# Relevant columns identified: 'Activity type', 'Adjusted activity quantity'\n# Group the data by 'Activity type' and calculate the total emissions\nemissions_by_activity = df.groupby('Activity type')['Adjusted activity quantity'].sum().reset_index()\n\n# Sort the data to identify top contributors\ntop_emissions_by_activity = emissions_by_activity.sort_values(by='Adjusted activity quantity', ascending=False).reset_index(drop=True)\n\n# Display the aggregated data\nprint(top_emissions_by_activity)\n\n# Visualize the data using a bar plot\nplt.figure(figsize=(12, 8))\nplt.bar(top_emissions_by_activity['Activity type'], top_emissions_by_activity['Adjusted activity quantity'])\nplt.xlabel('Activity Type')\nplt.ylabel('Total Emissions (Adjusted Activity Quantity)')\nplt.title('Top Emissions by Activity')\nplt.xticks(rotation=90)\nplt.tight_layout()\nplt.show()\n```\n\nLet's execute the code to generate the outputs.\n\nThe analysis provides two key outputs:\n\n1. Aggregated Data Table: This table shows the total emissions for each activity type. You can review the specific values in the table displayed above.\n\n2. Bar Plot Visualization: This plot visualizes the top contributors to emissions, with each bar representing the total emissions for a specific activity type.\n\nThese outputs help identify which activities or components contribute the most to emissions, providing insights for targeted emission reduction strategies." | |
| }, | |
| { | |
| "input": "Name,Scope,Emissions Source,Activity type,Calculation date,Transaction date,Consumption start date,Consumption end date,Country/Region,Organizational unit,Facility,Source,Latitude,Longitude,CH4,CH4 unit,CO2,CO2 unit,N2O,N2O unit,CO2E,CO2E unit,CO2E (mt),HFCs,HFCs unit,NF3,NF3 unit,PFCs,PFCs unit,SF6,SF6 unit,Other GHGs unit,Other GHGs,Is market based,Is biogenic,Calculation job,Calculation model,Emission factor library,Emission factor,Factor mapping,Adjusted activity quantity,Adjusted activity quantity unit,Data connection refresh,Data connection,Origin correlation ID\nAssembly line components,Scope 3,Capital goods,Machinery,12/20/2023,5/26/2020,5/26/2020,5/26/2020,IND,HCL ERS Scope 3,Noida HCL.,Assembly line components,0.0,0.0,42.80103133,kg,8089.394921,kg,,,9159.420704,kg,9.159420704,,,,,,,,,,,No,No,POC-Capital Goods1703067781336,POC-Capital Goods,Capital Goods-Library,Machinery,Machinery,42801.03133,USD 2018,capital goods (used)-2. Capital goods-20231220101348042,Capital goods-power query,\nAssembly line components,Scope 3,Capital goods,Machinery,12/20/2023,2/7/2021,2/7/2021,2/7/2021,IND,HCL ERS Scope 3,Noida HCL.,Assembly line components,0.0,0.0,43.17042961,kg,8159.211195,kg,,,9238.471936,kg,9.238471936,,,,,,,,,,,No,No,POC-Capital Goods1703067781336,POC-Capital Goods,Capital Goods-Library,Machinery,Machinery,43170.42961,USD 2018,capital goods (used)-2. Capital goods-20231220101348042,Capital goods-power query,\nAssembly line components,Scope 3,Capital goods,Machinery,12/20/2023,11/20/2021,11/20/2021,11/20/2021,IND,HCL ERS Scope 3,Noida HCL.,Assembly line components,0.0,0.0,25.78343472,kg,4873.069162,kg,,,5517.65503,kg,5.51765503,,,,,,,,,,,No,No,POC-Capital Goods1703067781336,POC-Capital Goods,Capital Goods-Library,Machinery,Machinery,25783.43472,USD 2018,capital goods (used)-2. Capital goods-20231220101348042,Capital goods-power query,\nBlast Furnace Gas Leakage,Scope 1,Fugitive emissions,CO2 (AR4),11/2/2023,4/1/2023,4/1/2023,4/1/2023,IND,HCL ERS Scope 1,Tata Steel - TB,Blast Furnace Gas Leakage,28.52810705,77.28337336,,,,,,,357.34,kg,0.35734,,,,,,,,,kg,357.34,No,No,Tata Steels fugitive emissions 1698954829670,Tata Steels Fugitive Emissions,,,,,,Fugitive emissions-Fugitive emissions-20231102184057037,Fugitive emission and purchased cooling - Sample data,\nBlast Furnace Gas Leakage,Scope 1,Fugitive emissions,CO2 (AR4),11/2/2023,6/1/2023,6/1/2023,6/1/2023,IND,HCL ERS Scope 1,Tata Steels - GB,Blast Furnace Gas Leakage,28.6475428,77.33281922,,,,,,,236.8,kg,0.2368,,,,,,,,,kg,236.8,No,No,Tata Steels fugitive emissions 1698954829670,Tata Steels Fugitive Emissions,,,,,,Fugitive emissions-Fugitive emissions-20231102184057037,Fugitive emission and purchased cooling - Sample data,\nBlast Furnace Gas Leakage,Scope 1,Fugitive emissions,CO2 (AR4),11/2/2023,4/1/2023,4/1/2023,4/1/2023,IND,HCL ERS Scope 1,Tata Steel - NF,Blast Furnace Gas Leakage,28.55863368,77.26774063,,,,,,,275.56,kg,0.27556,,,,,,,,,kg,275.56,No,No,Tata Steels fugitive emissions 1698954829670,Tata Steels Fugitive Emissions,,,,,,Fugitive emissions-Fugitive emissions-20231102184057037,Fugitive emission and purchased cooling - Sample data,\nBlast Furnace Operations,Scope 1,Fugitive emissions,CO2 (AR4),11/2/2023,2/1/2023,2/1/2023,2/1/2023,IND,HCL ERS Scope 1,Tata Steels - GB,Blast Furnace Operations,28.6475428,77.33281922,,,,,,,236.34,kg,0.23634,,,,,,,,,kg,236.34,No,No,Tata Steels fugitive emissions 1698954829670,Tata Steels Fugitive Emissions,,,,,,Fugitive emissions-Fugitive emissions-20231102184057037,Fugitive emission and purchased cooling - Sample data,\nBlast Furnace Operations,Scope 1,Fugitive emissions,CO2 (AR4),11/2/2023,2/1/2023,2/1/2023,2/1/2023,IND,HCL ERS Scope 1,Tata Steel - TB,Blast Furnace Operations,28.52810705,77.28337336,,,,,,,345.1,kg,0.3451,,,,,,,,,kg,345.1,No,No,Tata Steels fugitive emissions 1698954829670,Tata Steels Fugitive Emissions,,,,,,Fugitive emissions-Fugitive emissions-20231102184057037,Fugitive emission and purchased cooling - Sample data,\nBlast Furnace Operations,Scope 1,Fugitive emissions,CO2 (AR4),11/2/2023,2/1/2023,2/1/2023,2/1/2023,IND,HCL ERS Scope 1,Tata Steel - NF,Blast Furnace Operations,28.55863368,77.26774063,,,,,,,395.4,kg,0.3954,,,,,,,,,kg,395.4,No,No,Tata Steels fugitive emissions 1698954829670,Tata Steels Fugitive Emissions,,,,,,Fugitive emissions-Fugitive emissions-20231102184057037,Fugitive emission and purchased cooling - Sample data,\nBusiness Travel New 1,Scope 3,Business travel,Air travel - medium haul (>= 300 miles, < 2300 miles),12/20/2023,,1/4/2023,1/4/2023,IND,HCL ERS Scope 3,Tata Steel - NF,Business Travel New 1,28.55863368,77.26774063,0.9456,g,203.304,kg,6.4616,g,205.2531968,kg,0.2052531968,,,,,,,,,,,No,No,Business travel Calc pro1703065972136,Business Travel - Calc,EPA 2022 - Business travel and employee commuting GHG emission factors,Air travel - medium haul (>= 300 miles, < 2300 miles),Air travel - medium haul (>= 300 miles, < 2300 miles) (business travel),1576.0,passenger-mile,Table-6. Business travel-20231220064036613,Business travel data new,\nBusiness Travel New 10,Scope 3,Business travel,Commuter rail,12/20/2023,,1/6/2023,1/6/2023,IND,HCL ERS Scope 3,Tata Steel - TB,Business Travel New 10,28.52810705,77.28337336,0.5264,g,6.533,kg,0.1316,g,6.5853768,kg,0.0065853768,,,,,,,,,,,No,No,Business travel Calc pro1703065972136,Business Travel - Calc,EPA 2022 - Business travel and employee commuting GHG emission factors,Commuter rail,Commuter rail (business travel),47.0,passenger-mile,Table-6. Business travel-20231220064036613,Business travel data new,\nBusiness Travel New 11,Scope 3,Business travel,Air travel - medium haul (>= 300 miles, < 2300 miles),12/20/2023,,1/3/2023,1/3/2023,IND,HCL ERS Scope 3,Tata Steels - GB,Business Travel New 11,28.6475428,77.33281922,1.1646,g,250.389,kg,7.9581,g,252.7896288,kg,0.2527896288,,,,,,,,,,,No,No,Business travel Calc pro1703065972136,Business Travel - Calc,EPA 2022 - Business travel and employee commuting GHG emission factors,Air travel - medium haul (>= 300 miles, < 2300 miles),Air travel - medium haul (>= 300 miles, < 2300 miles) (business travel),1941.0,passenger-mile,Table-6. Business travel-20231220064036613,Business travel data new,\nBusiness Travel New 12,Scope 3,Business travel,Air travel - short haul (< 300 miles),12/20/2023,,1/7/2023,1/7/2023,IND,HCL ERS Scope 3,Tata Steels - GB,Business Travel New 12,28.6475428,77.33281922,1.0752,g,34.776,kg,1.1088,g,35.1333024,kg,0.0351333024,,,,,,,,,,,No,No,Business travel Calc pro1703065972136,Business Travel - Calc,EPA 2022 - Business travel and employee commuting GHG emission factors,Air travel - short haul (< 300 miles),Air travel - short haul (< 300 miles) (business travel),168.0,passenger-mile,Table-6. Business travel-20231220064036613,Business travel data new,\nBusiness Travel New 13,Scope 3,Business travel,Intercity rail - Northeast Corridor,12/20/2023,,1/5/2023,1/5/2023,IND,HCL ERS Scope 3,Tata Steels - GB,Business Travel New 13,28.6475428,77.33281922,0.099,g,1.044,kg,0.0126,g,1.0502298,kg,0.0010502298,,,,,,,,,,,No,No,Business travel Calc pro1703065972136,Business Travel - Calc,EPA 2022 - Business travel and employee commuting GHG emission factors,Intercity rail - Northeast corridor,Intercity rail - Northeast corridor (business travel),18.0,passenger-mile,Table-6. Business travel-20231220064036613,Business travel data new,\nBusiness Travel New 14,Scope 3,Business travel,Bus,12/20/2023,,1/1/2023,1/1/2023,IND,HCL ERS Scope 3,Tata Steels - GB,Business Travel New 14,28.6475428,77.33281922,0.861,g,2.296,kg,0.0369,g,2.3285212,kg,0.0023285212,,,,,,,,,,,No,No,Business travel Calc pro1703065972136,Business Travel - Calc,EPA 2022 - Business travel and employee commuting GHG emission factors,Bus,Bus (business travel),41.0,passenger-mile,Table-6. Business travel-20231220064036613,Business travel data new,\nBusiness Travel New 15,Scope 3,Business travel,Light-duty truck,12/20/2023,,1/7/2023,1/7/2023,IND,HCL ERS Scope 3,Tata Steels - GB,Business Travel New 15,28.6475428,77.33281922,3.444,g,130.298,kg,2.583,g,131.153834,kg,0.131153834,,,,,,,,,,,No,No,Business travel Calc pro1703065972136,Business Travel - Calc,EPA 2022 - Business travel and employee commuting GHG emission factors,Light-duty truck,Light-duty truck (business travel),287.0,vehicle-mile,Table-6. Business travel-20231220064036613,Business travel data new,\nBusiness Travel New 16,Scope 3,Business travel,Air travel - medium haul (>= 300 miles, < 2300 miles),12/20/2023,,1/5/2023,1/5/2023,IND,HCL ERS Scope 3,Tata Steel - NF,Business Travel New 16,28.55863368,77.26774063,0.2724,g,58.566,kg,1.8614,g,59.1275072,kg,0.0591275072,,,,,,,,,,,No,No,Business travel Calc pro1703065972136,Business Travel - Calc,EPA 2022 - Business travel and employee commuting GHG emission factors,Air travel - medium haul (>= 300 miles, < 2300 miles),Air travel - medium haul (>= 300 miles, < 2300 miles) (business travel),454.0,passenger-mile,Table-6. Business travel-20231220064036613,Business travel data new,\nBusiness Travel New 17,Scope 3,Business travel,Passenger car,12/20/2023,,1/2/2023,1/2/2023,IND,HCL ERS Scope 3,Tata Steel - NF,Business Travel New 17,28.55863368,77.26774063,1.491,g,70.716,kg,1.491,g,71.197593,kg,0.071197593,,,,,,,,,,,No,No,Business travel Calc pro1703065972136,Business Travel - Calc,EPA 2022 - Business travel and employee commuting GHG emission factors,Passenger car,Passenger car (business travel),213.0,vehicle-mile,Table-6. Business travel-20231220064036613,Business travel data new,\nBusiness Travel New 18,Scope 3,Business travel,Transit rail,12/20/2023,,1/2/2023,1/2/2023,IND,HCL ERS Scope 3,Tata Steel - NF,Business Travel New 18,28.55863368,77.26774063,2.352,g,27.72,kg,0.336,g,27.878928,kg,0.027878928,,,,,,,,,,,No,No,Business travel Calc pro1703065972136,Business Travel - Calc,EPA 2022 - Business travel and employee commuting GHG emission factors,Transit rail (i.e. subway, tram),Transit rail (business travel),280.0,passenger-mile,Table-6. Business travel-20231220064036613,Business travel data new,\nBusiness Travel New 19,Scope 3,Business travel,Intercity rail - national average,12/20/2023,,1/5/2023,1/5/2023,IND,HCL ERS Scope 3,Tata Steel - NF,Business Travel New 19,28.55863368,77.26774063,0.2944,g,3.616,kg,0.0832,g,3.6481536,kg,0.0036481536,,,,,,,,,,,No,No,Business travel Calc pro1703065972136,Business Travel - Calc,EPA 2022 - Business travel and employee commuting GHG emission factors,Intercity rail - national average,Intercity rail - national average (business travel),32.0,passenger-mile,Table-6. Business travel-20231220064036613,Business travel data new,\nBusiness Travel New 2,Scope 3,Business travel,Passenger car,12/20/2023,,1/7/2023,1/7/2023,IND,HCL ERS Scope 3,Tata Steel - NF,Business Travel New 2,28.55863368,77.26774063,1.757,g,83.332,kg,1.757,g,83.899511,kg,0.083899511,,,,,,,,,,,No,No,Business travel Calc pro1703065972136,Business Travel - Calc,EPA 2022 - Business travel and employee commuting GHG emission factors,Passenger car,Passenger car (business travel),251.0,vehicle-mile,Table-6. Business travel-20231220064036613,Business travel data new,\nBusiness Travel New 20,Scope 3,Business travel,Motorcycle,12/20/2023,,1/4/2023,1/4/2023,IND,HCL ERS Scope 3,Tata Steel - NF,Business Travel New 20,28.55863368,77.26774063,1.19,g,3.111,kg,0.119,g,3.176212,kg,0.003176212,,,,,,,,,,,No,No,Business travel Calc pro1703065972136,Business Travel - Calc,EPA 2022 - Business travel and employee commuting GHG emission factors,Motorcycle,Motorcycle (business travel),17.0,vehicle-mile,Table-6. Business travel-20231220064036613,Business travel data new,\nBusiness Travel New 21,Scope 3,Business travel,Air travel - medium haul (>= 300 miles, < 2300 miles),12/20/2023,,1/2/2023,1/2/2023,IND,HCL ERS Scope 3,Tata Steel - TB,Business Travel New 21,28.52810705,77.28337336,0.2418,g,51.987,kg,1.6523,g,52.4854304,kg,0.0524854304,,,,,,,,,,,No,No,Business travel Calc pro1703065972136,Business Travel - Calc,EPA 2022 - Business travel and employee commuting GHG emission factors,Air travel - medium haul (>= 300 miles, < 2300 miles),Air travel - medium haul (>= 300 miles, < 2300 miles) (business travel),403.0,passenger-mile,Table-6. Business travel-20231220064036613,Business travel data new,\nBusiness Travel New 22,Scope 3,Business travel,Passenger car,12/20/2023,,1/5/2023,1/5/2023,IND,HCL ERS Scope 3,Tata Steel - TB,Business Travel New 22,28.52810705,77.28337336,1.022,g,48.472,kg,1.022,g,48.802106,kg,0.048802106,,,,,,,,,,,No,No,Business travel Calc pro1703065972136,Business Travel - Calc,EPA 2022 - Business travel and employee commuting GHG emission factors,Passenger car,Passenger car (business travel),146.0,vehicle-mile,Table-6. Business travel-20231220064036613,Business travel data new,\nBusiness Travel New 23,Scope 3,Business travel,Air travel - medium haul (>= 300 miles, < 2300 miles),12/20/2023,,1/8/2023,1/8/2023,IND,HCL ERS Scope 3,Tata Steel - TB,Business Travel New 23,28.52810705,77.28337336,0.6534,g,140.481,kg,4.4649,g,141.8278752,kg,0.1418278752,,,,,,,,,,,No,No,Business travel Calc pro1703065972136,Business Travel - Calc,EPA 2022 - Business travel and employee commuting GHG emission factors,Air travel - medium haul (>= 300 miles, < 2300 miles),Air travel - medium haul (>= 300 miles, < 2300 miles) (business travel),1089.0,passenger-mile,Table-6. Business travel-20231220064036613,Business travel data new,\nBusiness Travel New 24,Scope 3,Business travel,Passenger car,12/20/2023,,1/1/2023,1/1/2023,IND,HCL ERS Scope 3,Tata Steel - TB,Business Travel New 24,28.52810705,77.28337336,1.547,g,73.372,kg,1.547,g,73.871681,kg,0.073871681,,,,,,,,,,,No,No,Business travel Calc pro1703065972136,Business Travel - Calc,EPA 2022 - Business travel and employee commuting GHG emission factors,Passenger car,Passenger car (business travel),221.0,vehicle-mile,Table-6. Business travel-20231220064036613,Business travel data new,\nBusiness Travel New 25,Scope 3,Business travel,Passenger car,12/20/2023,,1/3/2023,1/3/2023,IND,HCL ERS Scope 3,Tata Steel - TB,Business Travel New 25,28.52810705,77.28337336,0.518,g,24.568,kg,0.518,g,24.735314,kg,0.024735314,,,,,,,,,,,No,No,Business travel Calc pro1703065972136,Business Travel - Calc,EPA 2022 - Business travel and employee commuting GHG emission factors,Passenger car,Passenger car (business travel),74.0,vehicle-mile,Table-6. Business travel-20231220064036613,Business travel data new,\nBusiness Travel New 26,Scope 3,Business travel,Intercity rail - Northeast Corridor,12/20/2023,,1/3/2023,1/3/2023,IND,HCL ERS Scope 3,Tata Steels - GB,Business Travel New 26,28.6475428,77.33281922,0.264,g,2.784,kg,0.0336,g,2.8006128,kg,0.0028006128,,,,,,,,,,,No,No,Business travel Calc pro1703065972136,Business Travel - Calc,EPA 2022 - Business travel and employee commuting GHG emission factors,Intercity rail - Northeast corridor,Intercity rail - Northeast corridor (business travel),48.0,passenger-mile,Table-6. Business travel-20231220064036613,Business travel data new,\nBusiness Travel New 27,Scope 3,Business travel,Intercity rail - national average,12/20/2023,,1/2/2023,1/2/2023,IND,HCL ERS Scope 3,Tata Steels - GB,Business Travel New 27,28.6475428,77.33281922,0.322,g,3.955,kg,0.091,g,3.990168,kg,0.003990168,,,,,,,,,,,No,No,Business travel Calc pro1703065972136,Business Travel - Calc,EPA 2022 - Business travel and employee commuting GHG emission factors,Intercity rail - national average,Intercity rail - national average (business travel),35.0,passenger-mile,Table-6. Business travel-20231220064036613,Business travel data new,\n", | |
| "instruction": "What are the trends in emissions over different time periods?", | |
| "output": "To analyze the trends in emissions over different time periods, we will follow these steps:\n\n1. Inspect the dataset to identify relevant columns for time periods.\n2. Aggregate emissions data by time periods.\n3. Visualize the trends in emissions over time.\n\nSteps and Code\n\nStep 1: Inspect the dataset\n\nFirst, I'll inspect the dataset to identify columns related to time periods, such as transaction dates or calculation dates.\n\nStep 2: Aggregate emissions data\n\nI'll group the data by the identified time periods, calculating the total emissions for each period.\n\nStep 3: Visualize the data\n\nFinally, I'll create visualizations to show the trends in emissions over different time periods.\n\nHere is the complete code to perform these steps:\n\n```python\nimport pandas as pd\nfrom io import StringIO\nimport matplotlib.pyplot as plt\n\n# Load the dataset\ndata = \"\"\"Name,Scope,Emissions Source,Activity type,Calculation date,Transaction date,Consumption start date,Consumption end date,Country/Region,Organizational unit,Facility,Source,Latitude,Longitude,CH4,CH4 unit,CO2,CO2 unit,N2O,N2O unit,CO2E,CO2E unit,CO2E (mt),HFCs,HFCs unit,NF3,NF3 unit,PFCs,PFCs unit,SF6,SF6 unit,Other GHGs unit,Other GHGs,Is market based,Is biogenic,Calculation job,Calculation model,Emission factor library,Emission factor,Factor mapping,Adjusted activity quantity,Adjusted activity quantity unit,Data connection refresh,Data connection,Origin correlation ID\nAssembly line components,Scope 3,Capital goods,Machinery,12/20/2023,5/26/2020,5/26/2020,5/26/2020,IND,HCL ERS Scope 3,Noida HCL.,Assembly line components,0,0,42.80103133,kg,8089.394921,kg,,,9159.420704,kg,9.159420704,,,,,,,,,,,No,No,POC-Capital Goods1703067781336,POC-Capital Goods,Capital Goods-Library,Machinery,Machinery,42801.03133,USD 2018,capital goods (used)-2. Capital goods-20231220101348042,Capital goods-power query,\nAssembly line components,Scope 3,Capital goods,Machinery,12/20/2023,2/7/2021,2/7/2021,2/7/2021,IND,HCL ERS Scope 3,Noida HCL.,Assembly line components,0,0,43.17042961,kg,8159.211195,kg,,,9238.471936,kg,9.238471936,,,,,,,,,,,No,No,POC-Capital Goods1703067781336,POC-Capital Goods,Capital Goods-Library,Machinery,Machinery,43170.42961,USD 2018,capital goods (used)-2. Capital goods-20231220101348042,Capital goods-power query,\nAssembly line components,Scope 3,Capital goods,Machinery,12/20/2023,11/20/2021,11/20/2021,11/20/2021,IND,HCL ERS Scope 3,Noida HCL.,Assembly line components,0,0,25.78343472,kg,4873.069162,kg,,,5517.65503,kg,5.51765503,,,,,,,,,,,No,No,POC-Capital Goods1703067781336,POC-Capital Goods,Capital Goods-Library,Machinery,Machinery,25783.43472,USD 2018,capital goods (used)-2. Capital goods-20231220101348042,Capital goods-power query,\nBlast Furnace Gas Leakage,Scope 1,Fugitive emissions,CO2 (AR4),11/2/2023,4/1/2023,4/1/2023,4/1/2023,IND,HCL ERS Scope 1,Tata Steel - TB,Blast Furnace Gas Leakage,28.52810705,77.28337336,,,,,,,357.34,kg,0.35734,,,,,,,,,kg,357.34,No,No,Tata Steels fugitive emissions 1698954829670,Tata Steels Fugitive Emissions,,,,,,Fugitive emissions-Fugitive emissions-20231102184057037,Fugitive emission and purchased cooling - Sample data,\nBlast Furnace Gas Leakage,Scope 1,Fugitive emissions,CO2 (AR4),11/2/2023,6/1/2023,6/1/2023,6/1/2023,IND,HCL ERS Scope 1,Tata Steels - GB,Blast Furnace Gas Leakage,28.6475428,77.33281922,,,,,,,236.8,kg,0.2368,,,,,,,,,kg,236.8,No,No,Tata Steels fugitive emissions 1698954829670,Tata Steels Fugitive Emissions,,,,,,Fugitive emissions-Fugitive emissions-20231102184057037,Fugitive emission and purchased cooling - Sample data,\nBlast Furnace Gas Leakage,Scope 1,Fugitive emissions,CO2 (AR4),11/2/2023,4/1/2023,4/1/2023,4/1/2023,IND,HCL ERS Scope 1,Tata Steel - NF,Blast Furnace Gas Leakage,28.55863368,77.26774063,,,,,,,275.56,kg,0.27556,,,,,,,,,kg,275.56,No,No,Tata Steels fugitive emissions 1698954829670,Tata Steels Fugitive Emissions,,,,,,Fugitive emissions-Fugitive emissions-20231102184057037,Fugitive emission and purchased cooling - Sample data,\nBlast Furnace Operations,Scope 1,Fugitive emissions,CO2 (AR4),11/2/2023,2/1/2023,2/1/2023,2/1/2023,IND,HCL ERS Scope 1,Tata Steels - GB,Blast Furnace Operations,28.6475428,77.33281922,,,,,,,236.34,kg,0.23634,,,,,,,,,kg,236.34,No,No,Tata Steels fugitive emissions 1698954829670,Tata Steels Fugitive Emissions,,,,,,Fugitive emissions-Fugitive emissions-20231102184057037,Fugitive emission and purchased cooling - Sample data,\nBlast Furnace Operations,Scope 1,Fugitive emissions,CO2 (AR4),11/2/2023,2/1/2023,2/1/2023,2/1/2023,IND,HCL ERS Scope 1,Tata Steel - TB,Blast Furnace Operations,28.52810705,77.28337336,,,,,,,345.1,kg,0.3451,,,,,,,,,kg,345.1,No,No,Tata Steels fugitive emissions 1698954829670,Tata Steels Fugitive Emissions,,,,,,Fugitive emissions-Fugitive emissions-20231102184057037,Fugitive emission and purchased cooling - Sample data,\nBlast Furnace Operations,Scope 1,Fugitive emissions,CO2 (AR4),11/2/2023,2/1/2023,2/1/2023,2/1/2023,IND,HCL ERS Scope 1,Tata Steel - NF,Blast Furnace Operations,28.55863368,77.26774063,,,,,,,395.4,kg,0.3954,,,,,,,,,kg,395.4,No,No,Tata Steels fugitive emissions 1698954829670,Tata Steels Fugitive Emissions,,,,,,Fugitive emissions-Fugitive emissions-20231102184057037,Fugitive emission and purchased cooling - Sample data,\nBusiness Travel New 1,Scope 3,Business travel,\"Air travel - medium haul (>= 300 miles, < 2300 miles)\",12/20/2023,,1/4/2023,1/4/2023,IND,HCL ERS Scope 3,Tata Steel - NF,Business Travel New 1,28.55863368,77.26774063,0.9456,g,203.304,kg,6.4616,g,205.2531968,kg,0.2052531968,,,,,,,,,,,No,No,Business travel Calc pro1703065972136,Business Travel - Calc,EPA 2022 - Business travel and employee commuting GHG emission factors,\"Air travel - medium haul (>= 300 miles, < 2300 miles)\",\"Air travel - medium haul (>= 300 miles, < 2300 miles) (business travel)\",1576,passenger-mile,Table-6. Business travel-20231220064036613,Business travel data new,\nBusiness Travel New 10,Scope 3,Business travel,Commuter rail,12/20/2023,,1/6/2023,1/6/2023,IND,HCL ERS Scope 3,Tata Steel - TB,Business Travel New 10,28.52810705,77.28337336,0.5264,g,6.533,kg,0.1316,g,6.5853768,kg,0.0065853768,,,,,,,,,,,No,No,Business travel Calc pro1703065972136,Business Travel - Calc,EPA 2022 - Business travel and employee commuting GHG emission factors,Commuter rail,Commuter rail (business travel),47,passenger-mile,Table-6. Business travel-20231220064036613,Business travel data new,\nBusiness Travel New 11,Scope 3,Business travel,\"Air travel - medium haul (>= 300 miles, < 2300 miles)\",12/20/2023,,1/3/2023,1/3/2023,IND,HCL ERS Scope 3,Tata Steels - GB,Business Travel New 11,28.6475428,77.33281922,1.1646,g,250.389,kg,7.9581,g,252.7896288,kg,0.2527896288,,,,,,,,,,,No,No,Business travel Calc pro1703065972136,Business Travel - Calc,EPA 2022 - Business travel and employee commuting GHG emission factors,\"Air travel - medium haul (>= 300 miles, < 2300 miles)\",\"Air travel - medium haul (>= 300 miles, < 2300 miles) (business travel)\",1941,passenger-mile,Table-6. Business travel-20231220064036613,Business travel data new,\nBusiness Travel New 12,Scope 3,Business travel,Air travel - short haul (< 300 miles),12/20/2023,,1/7/2023,1/7/2023,IND,HCL ERS Scope 3,Tata Steels - GB,Business Travel New 12,28.6475428,77.33281922,1.0752,g,34.776,kg,1.1088,g,35.1333024,kg,0.0351333024,,,,,,,,,,,No,No,Business travel Calc pro1703065972136,Business Travel - Calc,EPA 2022 - Business travel and employee commuting GHG emission factors,Air travel - short haul (< 300 miles),Air travel - short haul (< 300 miles) (business travel),168,passenger-mile,Table-6. Business travel-20231220064036613,Business travel data new,\nBusiness Travel New 13,Scope 3,Business travel,Intercity rail - Northeast Corridor,12/20/2023,,1/5/2023,1/5/2023,IND,HCL ERS Scope 3,Tata Steels - GB,Business Travel New 13,28.6475428,77.33281922,0.099,g,1.044,kg,0.0126,g,1.0502298,kg,0.0010502298,,,,,,,,,,,No,No,Business travel Calc pro1703065972136,Business Travel - Calc,EPA 2022 - Business travel and employee commuting GHG emission factors,Intercity rail - Northeast corridor,Intercity rail - Northeast corridor (business travel),18,passenger-mile,Table-6. Business travel-20231220064036613,Business travel data new,\nBusiness Travel New 14,Scope 3,Business travel,Bus,12/20/2023,,1/1/2023,1/1/2023,IND,HCL ERS Scope 3,Tata Steels - GB,Business Travel New 14,28.6475428,77.33281922,0.861,g,2.296,kg,0.0369,g,2.3285212,kg,0.0023285212,,,,,,,,,,,No,No,Business travel Calc pro1703065972136,Business Travel - Calc,EPA 2022 - Business travel and employee commuting GHG emission factors,Bus,Bus (business travel),41,passenger-mile,Table-6. Business travel-20231220064036613,Business travel data new,\nBusiness Travel New 15,Scope 3,Business travel,Light-duty truck,12/20/2023,,1/7/2023,1/7/2023,IND,HCL ERS Scope 3,Tata Steels - GB,Business Travel New 15,28.6475428,77.33281922,3.444,g,130.298,kg,2.583,g,131.153834,kg,0.131153834,,,,,,,,,,,No,No,Business travel Calc pro1703065972136,Business Travel - Calc,EPA 2022 - Business travel and employee commuting GHG emission factors,Light-duty truck,Light-duty truck (business travel),287,vehicle-mile,Table-6. Business travel-20231220064036613,Business travel data new,\nBusiness Travel New 16,Scope 3,Business travel,\"Air travel - medium haul (>= 300 miles, < 2300 miles)\",12/20/2023,,1/5/2023,1/5/2023,IND,HCL ERS Scope 3,Tata Steel - NF,Business Travel New 16,28.55863368,77.26774063,0.2724,g,58.566,kg,1.8614,g,59.1275072,kg,0.0591275072,,,,,,,,,,,No,No,Business travel Calc pro1703065972136,Business Travel - Calc,EPA 2022 - Business travel and employee commuting GHG emission factors,\"Air travel - medium haul (>= 300 miles, < 2300 miles)\",\"Air travel - medium haul (>= 300 miles, < 2300 miles) (business travel)\",454,passenger-mile,Table-6. Business travel-20231220064036613,Business travel data new,\nBusiness Travel New 17,Scope 3,Business travel,Passenger car,12/20/2023,,1/2/2023,1/2/2023,IND,HCL ERS Scope 3,Tata Steel - NF,Business Travel New 17,28.55863368,77.26774063,1.491,g,70.716,kg,1.491,g,71.197593,kg,0.071197593,,,,,,,,,,,No,No,Business travel Calc pro1703065972136,Business Travel - Calc,EPA 2022 - Business travel and employee commuting GHG emission factors,Passenger car,Passenger car (business travel),213,vehicle-mile,Table-6. Business travel-20231220064036613,Business travel data new,\nBusiness Travel New 18,Scope 3,Business travel,Transit rail,12/20/2023,,1/2/2023,1/2/2023,IND,HCL ERS Scope 3,Tata Steel - NF,Business Travel New 18,28.55863368,77.26774063,2.352,g,27.72,kg,0.336,g,27.878928,kg,0.027878928,,,,,,,,,,,No,No,Business travel Calc pro1703065972136,Business Travel - Calc,EPA 2022 - Business travel and employee commuting GHG emission factors,\"Transit rail (i.e. subway, tram)\",Transit rail (business travel),280,passenger-mile,Table-6. Business travel-20231220064036613,Business travel data new,\nBusiness Travel New 19,Scope 3,Business travel,Intercity rail - national average,12/20/2023,,1/5/2023,1/5/2023,IND,HCL ERS Scope 3,Tata Steel - NF,Business Travel New 19,28.55863368,77.26774063,0.2944,g,3.616,kg,0.0832,g,3.6481536,kg,0.0036481536,,,,,,,,,,,No,No,Business travel Calc pro1703065972136,Business Travel - Calc,EPA 2022 - Business travel and employee commuting GHG emission factors,Intercity rail - national average,Intercity rail - national average (business travel),32,passenger-mile,Table-6. Business travel-20231220064036613,Business travel data new,\nBusiness Travel New 2,Scope 3,Business travel,Passenger car,12/20/2023,,1/7/2023,1/7/2023,IND,HCL ERS Scope 3,Tata Steel - NF,Business Travel New 2,28.55863368,77.26774063,1.757,g,83.332,kg,1.757,g,83.899511,kg,0.083899511,,,,,,,,,,,No,No,Business travel Calc pro1703065972136,Business Travel - Calc,EPA 2022 - Business travel and employee commuting GHG emission factors,Passenger car,Passenger car (business travel),251,vehicle-mile,Table-6. Business travel-20231220064036613,Business travel data new,\nBusiness Travel New 20,Scope 3,Business travel,Motorcycle,12/20/2023,,1/4/2023,1/4/2023,IND,HCL ERS Scope 3,Tata Steel - NF,Business Travel New 20,28.55863368,77.26774063,1.19,g,3.111,kg,0.119,g,3.176212,kg,0.003176212,,,,,,,,,,,No,No,Business travel Calc pro1703065972136,Business Travel - Calc,EPA 2022 - Business travel and employee commuting GHG emission factors,Motorcycle,Motorcycle (business travel),17,vehicle-mile,Table-6. Business travel-20231220064036613,Business travel data new,\nBusiness Travel New 21,Scope 3,Business travel,\"Air travel - medium haul (>= 300 miles, < 2300 miles)\",12/20/2023,,1/2/2023,1/2/2023,IND,HCL ERS Scope 3,Tata Steel - TB,Business Travel New 21,28.52810705,77.28337336,0.2418,g,51.987,kg,1.6523,g,52.4854304,kg,0.0524854304,,,,,,,,,,,No,No,Business travel Calc pro1703065972136,Business Travel - Calc,EPA 2022 - Business travel and employee commuting GHG emission factors,\"Air travel - medium haul (>= 300 miles, < 2300 miles)\",\"Air travel - medium haul (>= 300 miles, < 2300 miles) (business travel)\",403,passenger-mile,Table-6. Business travel-20231220064036613,Business travel data new,\nBusiness Travel New 22,Scope 3,Business travel,Passenger car,12/20/2023,,1/5/2023,1/5/2023,IND,HCL ERS Scope 3,Tata Steel - TB,Business Travel New 22,28.52810705,77.28337336,1.022,g,48.472,kg,1.022,g,48.802106,kg,0.048802106,,,,,,,,,,,No,No,Business travel Calc pro1703065972136,Business Travel - Calc,EPA 2022 - Business travel and employee commuting GHG emission factors,Passenger car,Passenger car (business travel),146,vehicle-mile,Table-6. Business travel-20231220064036613,Business travel data new,\nBusiness Travel New 23,Scope 3,Business travel,\"Air travel - medium haul (>= 300 miles, < 2300 miles)\",12/20/2023,,1/8/2023,1/8/2023,IND,HCL ERS Scope 3,Tata Steel - TB,Business Travel New 23,28.52810705,77.28337336,0.6534,g,140.481,kg,4.4649,g,141.8278752,kg,0.1418278752,,,,,,,,,,,No,No,Business travel Calc pro1703065972136,Business Travel - Calc,EPA 2022 - Business travel and employee commuting GHG emission factors,\"Air travel - medium haul (>= 300 miles, < 2300 miles)\",\"Air travel - medium haul (>= 300 miles, < 2300 miles) (business travel)\",1089,passenger-mile,Table-6. Business travel-20231220064036613,Business travel data new,\nBusiness Travel New 24,Scope 3,Business travel,Passenger car,12/20/2023,,1/1/2023,1/1/2023,IND,HCL ERS Scope 3,Tata Steel - TB,Business Travel New 24,28.52810705,77.28337336,1.547,g,73.372,kg,1.547,g,73.871681,kg,0.073871681,,,,,,,,,,,No,No,Business travel Calc pro1703065972136,Business Travel - Calc,EPA 2022 - Business travel and employee commuting GHG emission factors,Passenger car,Passenger car (business travel),221,vehicle-mile,Table-6. Business travel-20231220064036613,Business travel data new,\nBusiness Travel New 25,Scope 3,Business travel,Passenger car,12/20/2023,,1/3/2023,1/3/2023,IND,HCL ERS Scope 3,Tata Steel - TB,Business Travel New 25,28.52810705,77.28337336,0.518,g,24.568,kg,0.518,g,24.735314,kg,0.024735314,,,,,,,,,,,No,No,Business travel Calc pro1703065972136,Business Travel - Calc,EPA 2022 - Business travel and employee commuting GHG emission factors,Passenger car,Passenger car (business travel),74,vehicle-mile,Table-6. Business travel-20231220064036613,Business travel data new,\nBusiness Travel New 26,Scope 3,Business travel,Intercity rail - Northeast Corridor,12/20/2023,,1/3/2023,1/3/2023,IND,HCL ERS Scope 3,Tata Steels - GB,Business Travel New 26,28.6475428,77.33281922,0.264,g,2.784,kg,0.0336,g,2.8006128,kg,0.0028006128,,,,,,,,,,,No,No,Business travel Calc pro1703065972136,Business Travel - Calc,EPA 2022 - Business travel and employee commuting GHG emission factors,Intercity rail - Northeast corridor,Intercity rail - Northeast corridor (business travel),48,passenger-mile,Table-6. Business travel-20231220064036613,Business travel data new,\nBusiness Travel New 27,Scope 3,Business travel,Intercity rail - national average,12/20/2023,,1/2/2023,1/2/2023,IND,HCL ERS Scope 3,Tata Steels - GB,Business Travel New 27,28.6475428,77.33281922,0.322,g,3.955,kg,0.091,g,3.990168,kg,0.003990168,,,,,,,,,,,No,No,Business travel Calc pro1703065972136,Business Travel - Calc,EPA 2022 - Business travel and employee commuting GHG emission factors,Intercity rail - national average,Intercity rail - national average (business travel),35,passenger-mile,Table-6. Business travel-20231220064036613,Business travel data new,\n\"\"\"\n\ndf = pd.read_csv(StringIO(data))\n\n\n# Inspect the dataset to identify relevant columns\ndf.head()\n\n# Relevant columns identified: 'Calculation date' and 'Adjusted activity quantity'\n# Convert 'Calculation date' to datetime\ndf['Calculation date'] = pd.to_datetime(df['Calculation date'])\n\n# Group the data by 'Calculation date' (we can use year or month for trends)\ndf['YearMonth'] = df['Calculation date'].dt.to_period('M')\nemissions_by_time = df.groupby('YearMonth')['Adjusted activity quantity'].sum().reset_index()\n\n# Display the aggregated data\nprint(emissions_by_time)\n\n# Visualize the data using a line plot\nplt.figure(figsize=(12, 8))\nplt.plot(emissions_by_time['YearMonth'].astype(str), emissions_by_time['Adjusted activity quantity'], marker='o')\nplt.xlabel('Time Period (Year-Month)')\nplt.ylabel('Total Emissions (Adjusted Activity Quantity)')\nplt.title('Trends in Emissions Over Time')\nplt.xticks(rotation=90)\nplt.tight_layout()\nplt.show()\n```\n\nLet's execute the code to generate the outputs.\n\nThe analysis provides two key outputs:\n\n1. Aggregated Data Table: This table shows the total emissions for each time period (year and month). You can review the specific values in the table displayed above.\n\n2. Line Plot Visualization: This plot visualizes the trends in emissions over different time periods, with each point representing the total emissions for a specific month.\n\nThese outputs help identify trends in emissions over time, providing insights into periods with higher or lower emissions and potential factors influencing these trends." | |
| }, | |
| { | |
| "input": "Name,Scope,Emissions Source,Activity type,Calculation date,Transaction date,Consumption start date,Consumption end date,Country/Region,Organizational unit,Facility,Source,Latitude,Longitude,CH4,CH4 unit,CO2,CO2 unit,N2O,N2O unit,CO2E,CO2E unit,CO2E (mt),HFCs,HFCs unit,NF3,NF3 unit,PFCs,PFCs unit,SF6,SF6 unit,Other GHGs unit,Other GHGs,Is market based,Is biogenic,Calculation job,Calculation model,Emission factor library,Emission factor,Factor mapping,Adjusted activity quantity,Adjusted activity quantity unit,Data connection refresh,Data connection,Origin correlation ID\nAssembly line components,Scope 3,Capital goods,Machinery,12/20/2023,5/26/2020,5/26/2020,5/26/2020,IND,HCL ERS Scope 3,Noida HCL.,Assembly line components,0.0,0.0,42.80103133,kg,8089.394921,kg,,,9159.420704,kg,9.159420704,,,,,,,,,,,No,No,POC-Capital Goods1703067781336,POC-Capital Goods,Capital Goods-Library,Machinery,Machinery,42801.03133,USD 2018,capital goods (used)-2. Capital goods-20231220101348042,Capital goods-power query,\nAssembly line components,Scope 3,Capital goods,Machinery,12/20/2023,2/7/2021,2/7/2021,2/7/2021,IND,HCL ERS Scope 3,Noida HCL.,Assembly line components,0.0,0.0,43.17042961,kg,8159.211195,kg,,,9238.471936,kg,9.238471936,,,,,,,,,,,No,No,POC-Capital Goods1703067781336,POC-Capital Goods,Capital Goods-Library,Machinery,Machinery,43170.42961,USD 2018,capital goods (used)-2. Capital goods-20231220101348042,Capital goods-power query,\nAssembly line components,Scope 3,Capital goods,Machinery,12/20/2023,11/20/2021,11/20/2021,11/20/2021,IND,HCL ERS Scope 3,Noida HCL.,Assembly line components,0.0,0.0,25.78343472,kg,4873.069162,kg,,,5517.65503,kg,5.51765503,,,,,,,,,,,No,No,POC-Capital Goods1703067781336,POC-Capital Goods,Capital Goods-Library,Machinery,Machinery,25783.43472,USD 2018,capital goods (used)-2. Capital goods-20231220101348042,Capital goods-power query,\nBlast Furnace Gas Leakage,Scope 1,Fugitive emissions,CO2 (AR4),11/2/2023,4/1/2023,4/1/2023,4/1/2023,IND,HCL ERS Scope 1,Tata Steel - TB,Blast Furnace Gas Leakage,28.52810705,77.28337336,,,,,,,357.34,kg,0.35734,,,,,,,,,kg,357.34,No,No,Tata Steels fugitive emissions 1698954829670,Tata Steels Fugitive Emissions,,,,,,Fugitive emissions-Fugitive emissions-20231102184057037,Fugitive emission and purchased cooling - Sample data,\nBlast Furnace Gas Leakage,Scope 1,Fugitive emissions,CO2 (AR4),11/2/2023,6/1/2023,6/1/2023,6/1/2023,IND,HCL ERS Scope 1,Tata Steels - GB,Blast Furnace Gas Leakage,28.6475428,77.33281922,,,,,,,236.8,kg,0.2368,,,,,,,,,kg,236.8,No,No,Tata Steels fugitive emissions 1698954829670,Tata Steels Fugitive Emissions,,,,,,Fugitive emissions-Fugitive emissions-20231102184057037,Fugitive emission and purchased cooling - Sample data,\nBlast Furnace Gas Leakage,Scope 1,Fugitive emissions,CO2 (AR4),11/2/2023,4/1/2023,4/1/2023,4/1/2023,IND,HCL ERS Scope 1,Tata Steel - NF,Blast Furnace Gas Leakage,28.55863368,77.26774063,,,,,,,275.56,kg,0.27556,,,,,,,,,kg,275.56,No,No,Tata Steels fugitive emissions 1698954829670,Tata Steels Fugitive Emissions,,,,,,Fugitive emissions-Fugitive emissions-20231102184057037,Fugitive emission and purchased cooling - Sample data,\nBlast Furnace Operations,Scope 1,Fugitive emissions,CO2 (AR4),11/2/2023,2/1/2023,2/1/2023,2/1/2023,IND,HCL ERS Scope 1,Tata Steels - GB,Blast Furnace Operations,28.6475428,77.33281922,,,,,,,236.34,kg,0.23634,,,,,,,,,kg,236.34,No,No,Tata Steels fugitive emissions 1698954829670,Tata Steels Fugitive Emissions,,,,,,Fugitive emissions-Fugitive emissions-20231102184057037,Fugitive emission and purchased cooling - Sample data,\nBlast Furnace Operations,Scope 1,Fugitive emissions,CO2 (AR4),11/2/2023,2/1/2023,2/1/2023,2/1/2023,IND,HCL ERS Scope 1,Tata Steel - TB,Blast Furnace Operations,28.52810705,77.28337336,,,,,,,345.1,kg,0.3451,,,,,,,,,kg,345.1,No,No,Tata Steels fugitive emissions 1698954829670,Tata Steels Fugitive Emissions,,,,,,Fugitive emissions-Fugitive emissions-20231102184057037,Fugitive emission and purchased cooling - Sample data,\nBlast Furnace Operations,Scope 1,Fugitive emissions,CO2 (AR4),11/2/2023,2/1/2023,2/1/2023,2/1/2023,IND,HCL ERS Scope 1,Tata Steel - NF,Blast Furnace Operations,28.55863368,77.26774063,,,,,,,395.4,kg,0.3954,,,,,,,,,kg,395.4,No,No,Tata Steels fugitive emissions 1698954829670,Tata Steels Fugitive Emissions,,,,,,Fugitive emissions-Fugitive emissions-20231102184057037,Fugitive emission and purchased cooling - Sample data,\nBusiness Travel New 1,Scope 3,Business travel,Air travel - medium haul (>= 300 miles, < 2300 miles),12/20/2023,,1/4/2023,1/4/2023,IND,HCL ERS Scope 3,Tata Steel - NF,Business Travel New 1,28.55863368,77.26774063,0.9456,g,203.304,kg,6.4616,g,205.2531968,kg,0.2052531968,,,,,,,,,,,No,No,Business travel Calc pro1703065972136,Business Travel - Calc,EPA 2022 - Business travel and employee commuting GHG emission factors,Air travel - medium haul (>= 300 miles, < 2300 miles),Air travel - medium haul (>= 300 miles, < 2300 miles) (business travel),1576.0,passenger-mile,Table-6. Business travel-20231220064036613,Business travel data new,\nBusiness Travel New 10,Scope 3,Business travel,Commuter rail,12/20/2023,,1/6/2023,1/6/2023,IND,HCL ERS Scope 3,Tata Steel - TB,Business Travel New 10,28.52810705,77.28337336,0.5264,g,6.533,kg,0.1316,g,6.5853768,kg,0.0065853768,,,,,,,,,,,No,No,Business travel Calc pro1703065972136,Business Travel - Calc,EPA 2022 - Business travel and employee commuting GHG emission factors,Commuter rail,Commuter rail (business travel),47.0,passenger-mile,Table-6. Business travel-20231220064036613,Business travel data new,\nBusiness Travel New 11,Scope 3,Business travel,Air travel - medium haul (>= 300 miles, < 2300 miles),12/20/2023,,1/3/2023,1/3/2023,IND,HCL ERS Scope 3,Tata Steels - GB,Business Travel New 11,28.6475428,77.33281922,1.1646,g,250.389,kg,7.9581,g,252.7896288,kg,0.2527896288,,,,,,,,,,,No,No,Business travel Calc pro1703065972136,Business Travel - Calc,EPA 2022 - Business travel and employee commuting GHG emission factors,Air travel - medium haul (>= 300 miles, < 2300 miles),Air travel - medium haul (>= 300 miles, < 2300 miles) (business travel),1941.0,passenger-mile,Table-6. Business travel-20231220064036613,Business travel data new,\nBusiness Travel New 12,Scope 3,Business travel,Air travel - short haul (< 300 miles),12/20/2023,,1/7/2023,1/7/2023,IND,HCL ERS Scope 3,Tata Steels - GB,Business Travel New 12,28.6475428,77.33281922,1.0752,g,34.776,kg,1.1088,g,35.1333024,kg,0.0351333024,,,,,,,,,,,No,No,Business travel Calc pro1703065972136,Business Travel - Calc,EPA 2022 - Business travel and employee commuting GHG emission factors,Air travel - short haul (< 300 miles),Air travel - short haul (< 300 miles) (business travel),168.0,passenger-mile,Table-6. Business travel-20231220064036613,Business travel data new,\nBusiness Travel New 13,Scope 3,Business travel,Intercity rail - Northeast Corridor,12/20/2023,,1/5/2023,1/5/2023,IND,HCL ERS Scope 3,Tata Steels - GB,Business Travel New 13,28.6475428,77.33281922,0.099,g,1.044,kg,0.0126,g,1.0502298,kg,0.0010502298,,,,,,,,,,,No,No,Business travel Calc pro1703065972136,Business Travel - Calc,EPA 2022 - Business travel and employee commuting GHG emission factors,Intercity rail - Northeast corridor,Intercity rail - Northeast corridor (business travel),18.0,passenger-mile,Table-6. Business travel-20231220064036613,Business travel data new,\nBusiness Travel New 14,Scope 3,Business travel,Bus,12/20/2023,,1/1/2023,1/1/2023,IND,HCL ERS Scope 3,Tata Steels - GB,Business Travel New 14,28.6475428,77.33281922,0.861,g,2.296,kg,0.0369,g,2.3285212,kg,0.0023285212,,,,,,,,,,,No,No,Business travel Calc pro1703065972136,Business Travel - Calc,EPA 2022 - Business travel and employee commuting GHG emission factors,Bus,Bus (business travel),41.0,passenger-mile,Table-6. Business travel-20231220064036613,Business travel data new,\nBusiness Travel New 15,Scope 3,Business travel,Light-duty truck,12/20/2023,,1/7/2023,1/7/2023,IND,HCL ERS Scope 3,Tata Steels - GB,Business Travel New 15,28.6475428,77.33281922,3.444,g,130.298,kg,2.583,g,131.153834,kg,0.131153834,,,,,,,,,,,No,No,Business travel Calc pro1703065972136,Business Travel - Calc,EPA 2022 - Business travel and employee commuting GHG emission factors,Light-duty truck,Light-duty truck (business travel),287.0,vehicle-mile,Table-6. Business travel-20231220064036613,Business travel data new,\nBusiness Travel New 16,Scope 3,Business travel,Air travel - medium haul (>= 300 miles, < 2300 miles),12/20/2023,,1/5/2023,1/5/2023,IND,HCL ERS Scope 3,Tata Steel - NF,Business Travel New 16,28.55863368,77.26774063,0.2724,g,58.566,kg,1.8614,g,59.1275072,kg,0.0591275072,,,,,,,,,,,No,No,Business travel Calc pro1703065972136,Business Travel - Calc,EPA 2022 - Business travel and employee commuting GHG emission factors,Air travel - medium haul (>= 300 miles, < 2300 miles),Air travel - medium haul (>= 300 miles, < 2300 miles) (business travel),454.0,passenger-mile,Table-6. Business travel-20231220064036613,Business travel data new,\nBusiness Travel New 17,Scope 3,Business travel,Passenger car,12/20/2023,,1/2/2023,1/2/2023,IND,HCL ERS Scope 3,Tata Steel - NF,Business Travel New 17,28.55863368,77.26774063,1.491,g,70.716,kg,1.491,g,71.197593,kg,0.071197593,,,,,,,,,,,No,No,Business travel Calc pro1703065972136,Business Travel - Calc,EPA 2022 - Business travel and employee commuting GHG emission factors,Passenger car,Passenger car (business travel),213.0,vehicle-mile,Table-6. Business travel-20231220064036613,Business travel data new,\nBusiness Travel New 18,Scope 3,Business travel,Transit rail,12/20/2023,,1/2/2023,1/2/2023,IND,HCL ERS Scope 3,Tata Steel - NF,Business Travel New 18,28.55863368,77.26774063,2.352,g,27.72,kg,0.336,g,27.878928,kg,0.027878928,,,,,,,,,,,No,No,Business travel Calc pro1703065972136,Business Travel - Calc,EPA 2022 - Business travel and employee commuting GHG emission factors,Transit rail (i.e. subway, tram),Transit rail (business travel),280.0,passenger-mile,Table-6. Business travel-20231220064036613,Business travel data new,\nBusiness Travel New 19,Scope 3,Business travel,Intercity rail - national average,12/20/2023,,1/5/2023,1/5/2023,IND,HCL ERS Scope 3,Tata Steel - NF,Business Travel New 19,28.55863368,77.26774063,0.2944,g,3.616,kg,0.0832,g,3.6481536,kg,0.0036481536,,,,,,,,,,,No,No,Business travel Calc pro1703065972136,Business Travel - Calc,EPA 2022 - Business travel and employee commuting GHG emission factors,Intercity rail - national average,Intercity rail - national average (business travel),32.0,passenger-mile,Table-6. Business travel-20231220064036613,Business travel data new,\nBusiness Travel New 2,Scope 3,Business travel,Passenger car,12/20/2023,,1/7/2023,1/7/2023,IND,HCL ERS Scope 3,Tata Steel - NF,Business Travel New 2,28.55863368,77.26774063,1.757,g,83.332,kg,1.757,g,83.899511,kg,0.083899511,,,,,,,,,,,No,No,Business travel Calc pro1703065972136,Business Travel - Calc,EPA 2022 - Business travel and employee commuting GHG emission factors,Passenger car,Passenger car (business travel),251.0,vehicle-mile,Table-6. Business travel-20231220064036613,Business travel data new,\nBusiness Travel New 20,Scope 3,Business travel,Motorcycle,12/20/2023,,1/4/2023,1/4/2023,IND,HCL ERS Scope 3,Tata Steel - NF,Business Travel New 20,28.55863368,77.26774063,1.19,g,3.111,kg,0.119,g,3.176212,kg,0.003176212,,,,,,,,,,,No,No,Business travel Calc pro1703065972136,Business Travel - Calc,EPA 2022 - Business travel and employee commuting GHG emission factors,Motorcycle,Motorcycle (business travel),17.0,vehicle-mile,Table-6. Business travel-20231220064036613,Business travel data new,\nBusiness Travel New 21,Scope 3,Business travel,Air travel - medium haul (>= 300 miles, < 2300 miles),12/20/2023,,1/2/2023,1/2/2023,IND,HCL ERS Scope 3,Tata Steel - TB,Business Travel New 21,28.52810705,77.28337336,0.2418,g,51.987,kg,1.6523,g,52.4854304,kg,0.0524854304,,,,,,,,,,,No,No,Business travel Calc pro1703065972136,Business Travel - Calc,EPA 2022 - Business travel and employee commuting GHG emission factors,Air travel - medium haul (>= 300 miles, < 2300 miles),Air travel - medium haul (>= 300 miles, < 2300 miles) (business travel),403.0,passenger-mile,Table-6. Business travel-20231220064036613,Business travel data new,\nBusiness Travel New 22,Scope 3,Business travel,Passenger car,12/20/2023,,1/5/2023,1/5/2023,IND,HCL ERS Scope 3,Tata Steel - TB,Business Travel New 22,28.52810705,77.28337336,1.022,g,48.472,kg,1.022,g,48.802106,kg,0.048802106,,,,,,,,,,,No,No,Business travel Calc pro1703065972136,Business Travel - Calc,EPA 2022 - Business travel and employee commuting GHG emission factors,Passenger car,Passenger car (business travel),146.0,vehicle-mile,Table-6. Business travel-20231220064036613,Business travel data new,\nBusiness Travel New 23,Scope 3,Business travel,Air travel - medium haul (>= 300 miles, < 2300 miles),12/20/2023,,1/8/2023,1/8/2023,IND,HCL ERS Scope 3,Tata Steel - TB,Business Travel New 23,28.52810705,77.28337336,0.6534,g,140.481,kg,4.4649,g,141.8278752,kg,0.1418278752,,,,,,,,,,,No,No,Business travel Calc pro1703065972136,Business Travel - Calc,EPA 2022 - Business travel and employee commuting GHG emission factors,Air travel - medium haul (>= 300 miles, < 2300 miles),Air travel - medium haul (>= 300 miles, < 2300 miles) (business travel),1089.0,passenger-mile,Table-6. Business travel-20231220064036613,Business travel data new,\nBusiness Travel New 24,Scope 3,Business travel,Passenger car,12/20/2023,,1/1/2023,1/1/2023,IND,HCL ERS Scope 3,Tata Steel - TB,Business Travel New 24,28.52810705,77.28337336,1.547,g,73.372,kg,1.547,g,73.871681,kg,0.073871681,,,,,,,,,,,No,No,Business travel Calc pro1703065972136,Business Travel - Calc,EPA 2022 - Business travel and employee commuting GHG emission factors,Passenger car,Passenger car (business travel),221.0,vehicle-mile,Table-6. Business travel-20231220064036613,Business travel data new,\nBusiness Travel New 25,Scope 3,Business travel,Passenger car,12/20/2023,,1/3/2023,1/3/2023,IND,HCL ERS Scope 3,Tata Steel - TB,Business Travel New 25,28.52810705,77.28337336,0.518,g,24.568,kg,0.518,g,24.735314,kg,0.024735314,,,,,,,,,,,No,No,Business travel Calc pro1703065972136,Business Travel - Calc,EPA 2022 - Business travel and employee commuting GHG emission factors,Passenger car,Passenger car (business travel),74.0,vehicle-mile,Table-6. Business travel-20231220064036613,Business travel data new,\nBusiness Travel New 26,Scope 3,Business travel,Intercity rail - Northeast Corridor,12/20/2023,,1/3/2023,1/3/2023,IND,HCL ERS Scope 3,Tata Steels - GB,Business Travel New 26,28.6475428,77.33281922,0.264,g,2.784,kg,0.0336,g,2.8006128,kg,0.0028006128,,,,,,,,,,,No,No,Business travel Calc pro1703065972136,Business Travel - Calc,EPA 2022 - Business travel and employee commuting GHG emission factors,Intercity rail - Northeast corridor,Intercity rail - Northeast corridor (business travel),48.0,passenger-mile,Table-6. Business travel-20231220064036613,Business travel data new,\nBusiness Travel New 27,Scope 3,Business travel,Intercity rail - national average,12/20/2023,,1/2/2023,1/2/2023,IND,HCL ERS Scope 3,Tata Steels - GB,Business Travel New 27,28.6475428,77.33281922,0.322,g,3.955,kg,0.091,g,3.990168,kg,0.003990168,,,,,,,,,,,No,No,Business travel Calc pro1703065972136,Business Travel - Calc,EPA 2022 - Business travel and employee commuting GHG emission factors,Intercity rail - national average,Intercity rail - national average (business travel),35.0,passenger-mile,Table-6. Business travel-20231220064036613,Business travel data new,\n", | |
| "instruction": "How does the type of activity impact the overall emissions?", | |
| "output": "To analyze how the type of activity impacts overall emissions, we will follow these steps:\n\n1. Inspect the dataset to identify relevant columns for activity types and emissions.\n2. Aggregate emissions data by activity types.\n3. Visualize the impact of different activity types on overall emissions.\n\nSteps and Code\n\nStep 1: Inspect the dataset\n\nFirst, I'll inspect the dataset to identify columns related to activity types and emissions.\n\nStep 2: Aggregate emissions data\n\nI'll group the data by activity types, calculating the total emissions for each type.\n\nStep 3: Visualize the data\n\nFinally, I'll create visualizations to show the impact of different activity types on overall emissions.\n\nHere is the complete code to perform these steps:\n\n```python\nimport pandas as pd\nfrom io import StringIO\nimport matplotlib.pyplot as plt\n\n# Load the dataset\ndata = \"\"\"Name,Scope,Emissions Source,Activity type,Calculation date,Transaction date,Consumption start date,Consumption end date,Country/Region,Organizational unit,Facility,Source,Latitude,Longitude,CH4,CH4 unit,CO2,CO2 unit,N2O,N2O unit,CO2E,CO2E unit,CO2E (mt),HFCs,HFCs unit,NF3,NF3 unit,PFCs,PFCs unit,SF6,SF6 unit,Other GHGs unit,Other GHGs,Is market based,Is biogenic,Calculation job,Calculation model,Emission factor library,Emission factor,Factor mapping,Adjusted activity quantity,Adjusted activity quantity unit,Data connection refresh,Data connection,Origin correlation ID\nAssembly line components,Scope 3,Capital goods,Machinery,12/20/2023,5/26/2020,5/26/2020,5/26/2020,IND,HCL ERS Scope 3,Noida HCL.,Assembly line components,0,0,42.80103133,kg,8089.394921,kg,,,9159.420704,kg,9.159420704,,,,,,,,,,,No,No,POC-Capital Goods1703067781336,POC-Capital Goods,Capital Goods-Library,Machinery,Machinery,42801.03133,USD 2018,capital goods (used)-2. Capital goods-20231220101348042,Capital goods-power query,\nAssembly line components,Scope 3,Capital goods,Machinery,12/20/2023,2/7/2021,2/7/2021,2/7/2021,IND,HCL ERS Scope 3,Noida HCL.,Assembly line components,0,0,43.17042961,kg,8159.211195,kg,,,9238.471936,kg,9.238471936,,,,,,,,,,,No,No,POC-Capital Goods1703067781336,POC-Capital Goods,Capital Goods-Library,Machinery,Machinery,43170.42961,USD 2018,capital goods (used)-2. Capital goods-20231220101348042,Capital goods-power query,\nAssembly line components,Scope 3,Capital goods,Machinery,12/20/2023,11/20/2021,11/20/2021,11/20/2021,IND,HCL ERS Scope 3,Noida HCL.,Assembly line components,0,0,25.78343472,kg,4873.069162,kg,,,5517.65503,kg,5.51765503,,,,,,,,,,,No,No,POC-Capital Goods1703067781336,POC-Capital Goods,Capital Goods-Library,Machinery,Machinery,25783.43472,USD 2018,capital goods (used)-2. Capital goods-20231220101348042,Capital goods-power query,\nBlast Furnace Gas Leakage,Scope 1,Fugitive emissions,CO2 (AR4),11/2/2023,4/1/2023,4/1/2023,4/1/2023,IND,HCL ERS Scope 1,Tata Steel - TB,Blast Furnace Gas Leakage,28.52810705,77.28337336,,,,,,,357.34,kg,0.35734,,,,,,,,,kg,357.34,No,No,Tata Steels fugitive emissions 1698954829670,Tata Steels Fugitive Emissions,,,,,,Fugitive emissions-Fugitive emissions-20231102184057037,Fugitive emission and purchased cooling - Sample data,\nBlast Furnace Gas Leakage,Scope 1,Fugitive emissions,CO2 (AR4),11/2/2023,6/1/2023,6/1/2023,6/1/2023,IND,HCL ERS Scope 1,Tata Steels - GB,Blast Furnace Gas Leakage,28.6475428,77.33281922,,,,,,,236.8,kg,0.2368,,,,,,,,,kg,236.8,No,No,Tata Steels fugitive emissions 1698954829670,Tata Steels Fugitive Emissions,,,,,,Fugitive emissions-Fugitive emissions-20231102184057037,Fugitive emission and purchased cooling - Sample data,\nBlast Furnace Gas Leakage,Scope 1,Fugitive emissions,CO2 (AR4),11/2/2023,4/1/2023,4/1/2023,4/1/2023,IND,HCL ERS Scope 1,Tata Steel - NF,Blast Furnace Gas Leakage,28.55863368,77.26774063,,,,,,,275.56,kg,0.27556,,,,,,,,,kg,275.56,No,No,Tata Steels fugitive emissions 1698954829670,Tata Steels Fugitive Emissions,,,,,,Fugitive emissions-Fugitive emissions-20231102184057037,Fugitive emission and purchased cooling - Sample data,\nBlast Furnace Operations,Scope 1,Fugitive emissions,CO2 (AR4),11/2/2023,2/1/2023,2/1/2023,2/1/2023,IND,HCL ERS Scope 1,Tata Steels - GB,Blast Furnace Operations,28.6475428,77.33281922,,,,,,,236.34,kg,0.23634,,,,,,,,,kg,236.34,No,No,Tata Steels fugitive emissions 1698954829670,Tata Steels Fugitive Emissions,,,,,,Fugitive emissions-Fugitive emissions-20231102184057037,Fugitive emission and purchased cooling - Sample data,\nBlast Furnace Operations,Scope 1,Fugitive emissions,CO2 (AR4),11/2/2023,2/1/2023,2/1/2023,2/1/2023,IND,HCL ERS Scope 1,Tata Steel - TB,Blast Furnace Operations,28.52810705,77.28337336,,,,,,,345.1,kg,0.3451,,,,,,,,,kg,345.1,No,No,Tata Steels fugitive emissions 1698954829670,Tata Steels Fugitive Emissions,,,,,,Fugitive emissions-Fugitive emissions-20231102184057037,Fugitive emission and purchased cooling - Sample data,\nBlast Furnace Operations,Scope 1,Fugitive emissions,CO2 (AR4),11/2/2023,2/1/2023,2/1/2023,2/1/2023,IND,HCL ERS Scope 1,Tata Steel - NF,Blast Furnace Operations,28.55863368,77.26774063,,,,,,,395.4,kg,0.3954,,,,,,,,,kg,395.4,No,No,Tata Steels fugitive emissions 1698954829670,Tata Steels Fugitive Emissions,,,,,,Fugitive emissions-Fugitive emissions-20231102184057037,Fugitive emission and purchased cooling - Sample data,\nBusiness Travel New 1,Scope 3,Business travel,\"Air travel - medium haul (>= 300 miles, < 2300 miles)\",12/20/2023,,1/4/2023,1/4/2023,IND,HCL ERS Scope 3,Tata Steel - NF,Business Travel New 1,28.55863368,77.26774063,0.9456,g,203.304,kg,6.4616,g,205.2531968,kg,0.2052531968,,,,,,,,,,,No,No,Business travel Calc pro1703065972136,Business Travel - Calc,EPA 2022 - Business travel and employee commuting GHG emission factors,\"Air travel - medium haul (>= 300 miles, < 2300 miles)\",\"Air travel - medium haul (>= 300 miles, < 2300 miles) (business travel)\",1576,passenger-mile,Table-6. Business travel-20231220064036613,Business travel data new,\nBusiness Travel New 10,Scope 3,Business travel,Commuter rail,12/20/2023,,1/6/2023,1/6/2023,IND,HCL ERS Scope 3,Tata Steel - TB,Business Travel New 10,28.52810705,77.28337336,0.5264,g,6.533,kg,0.1316,g,6.5853768,kg,0.0065853768,,,,,,,,,,,No,No,Business travel Calc pro1703065972136,Business Travel - Calc,EPA 2022 - Business travel and employee commuting GHG emission factors,Commuter rail,Commuter rail (business travel),47,passenger-mile,Table-6. Business travel-20231220064036613,Business travel data new,\nBusiness Travel New 11,Scope 3,Business travel,\"Air travel - medium haul (>= 300 miles, < 2300 miles)\",12/20/2023,,1/3/2023,1/3/2023,IND,HCL ERS Scope 3,Tata Steels - GB,Business Travel New 11,28.6475428,77.33281922,1.1646,g,250.389,kg,7.9581,g,252.7896288,kg,0.2527896288,,,,,,,,,,,No,No,Business travel Calc pro1703065972136,Business Travel - Calc,EPA 2022 - Business travel and employee commuting GHG emission factors,\"Air travel - medium haul (>= 300 miles, < 2300 miles)\",\"Air travel - medium haul (>= 300 miles, < 2300 miles) (business travel)\",1941,passenger-mile,Table-6. Business travel-20231220064036613,Business travel data new,\nBusiness Travel New 12,Scope 3,Business travel,Air travel - short haul (< 300 miles),12/20/2023,,1/7/2023,1/7/2023,IND,HCL ERS Scope 3,Tata Steels - GB,Business Travel New 12,28.6475428,77.33281922,1.0752,g,34.776,kg,1.1088,g,35.1333024,kg,0.0351333024,,,,,,,,,,,No,No,Business travel Calc pro1703065972136,Business Travel - Calc,EPA 2022 - Business travel and employee commuting GHG emission factors,Air travel - short haul (< 300 miles),Air travel - short haul (< 300 miles) (business travel),168,passenger-mile,Table-6. Business travel-20231220064036613,Business travel data new,\nBusiness Travel New 13,Scope 3,Business travel,Intercity rail - Northeast Corridor,12/20/2023,,1/5/2023,1/5/2023,IND,HCL ERS Scope 3,Tata Steels - GB,Business Travel New 13,28.6475428,77.33281922,0.099,g,1.044,kg,0.0126,g,1.0502298,kg,0.0010502298,,,,,,,,,,,No,No,Business travel Calc pro1703065972136,Business Travel - Calc,EPA 2022 - Business travel and employee commuting GHG emission factors,Intercity rail - Northeast corridor,Intercity rail - Northeast corridor (business travel),18,passenger-mile,Table-6. Business travel-20231220064036613,Business travel data new,\nBusiness Travel New 14,Scope 3,Business travel,Bus,12/20/2023,,1/1/2023,1/1/2023,IND,HCL ERS Scope 3,Tata Steels - GB,Business Travel New 14,28.6475428,77.33281922,0.861,g,2.296,kg,0.0369,g,2.3285212,kg,0.0023285212,,,,,,,,,,,No,No,Business travel Calc pro1703065972136,Business Travel - Calc,EPA 2022 - Business travel and employee commuting GHG emission factors,Bus,Bus (business travel),41,passenger-mile,Table-6. Business travel-20231220064036613,Business travel data new,\nBusiness Travel New 15,Scope 3,Business travel,Light-duty truck,12/20/2023,,1/7/2023,1/7/2023,IND,HCL ERS Scope 3,Tata Steels - GB,Business Travel New 15,28.6475428,77.33281922,3.444,g,130.298,kg,2.583,g,131.153834,kg,0.131153834,,,,,,,,,,,No,No,Business travel Calc pro1703065972136,Business Travel - Calc,EPA 2022 - Business travel and employee commuting GHG emission factors,Light-duty truck,Light-duty truck (business travel),287,vehicle-mile,Table-6. Business travel-20231220064036613,Business travel data new,\nBusiness Travel New 16,Scope 3,Business travel,\"Air travel - medium haul (>= 300 miles, < 2300 miles)\",12/20/2023,,1/5/2023,1/5/2023,IND,HCL ERS Scope 3,Tata Steel - NF,Business Travel New 16,28.55863368,77.26774063,0.2724,g,58.566,kg,1.8614,g,59.1275072,kg,0.0591275072,,,,,,,,,,,No,No,Business travel Calc pro1703065972136,Business Travel - Calc,EPA 2022 - Business travel and employee commuting GHG emission factors,\"Air travel - medium haul (>= 300 miles, < 2300 miles)\",\"Air travel - medium haul (>= 300 miles, < 2300 miles) (business travel)\",454,passenger-mile,Table-6. Business travel-20231220064036613,Business travel data new,\nBusiness Travel New 17,Scope 3,Business travel,Passenger car,12/20/2023,,1/2/2023,1/2/2023,IND,HCL ERS Scope 3,Tata Steel - NF,Business Travel New 17,28.55863368,77.26774063,1.491,g,70.716,kg,1.491,g,71.197593,kg,0.071197593,,,,,,,,,,,No,No,Business travel Calc pro1703065972136,Business Travel - Calc,EPA 2022 - Business travel and employee commuting GHG emission factors,Passenger car,Passenger car (business travel),213,vehicle-mile,Table-6. Business travel-20231220064036613,Business travel data new,\nBusiness Travel New 18,Scope 3,Business travel,Transit rail,12/20/2023,,1/2/2023,1/2/2023,IND,HCL ERS Scope 3,Tata Steel - NF,Business Travel New 18,28.55863368,77.26774063,2.352,g,27.72,kg,0.336,g,27.878928,kg,0.027878928,,,,,,,,,,,No,No,Business travel Calc pro1703065972136,Business Travel - Calc,EPA 2022 - Business travel and employee commuting GHG emission factors,\"Transit rail (i.e. subway, tram)\",Transit rail (business travel),280,passenger-mile,Table-6. Business travel-20231220064036613,Business travel data new,\nBusiness Travel New 19,Scope 3,Business travel,Intercity rail - national average,12/20/2023,,1/5/2023,1/5/2023,IND,HCL ERS Scope 3,Tata Steel - NF,Business Travel New 19,28.55863368,77.26774063,0.2944,g,3.616,kg,0.0832,g,3.6481536,kg,0.0036481536,,,,,,,,,,,No,No,Business travel Calc pro1703065972136,Business Travel - Calc,EPA 2022 - Business travel and employee commuting GHG emission factors,Intercity rail - national average,Intercity rail - national average (business travel),32,passenger-mile,Table-6. Business travel-20231220064036613,Business travel data new,\nBusiness Travel New 2,Scope 3,Business travel,Passenger car,12/20/2023,,1/7/2023,1/7/2023,IND,HCL ERS Scope 3,Tata Steel - NF,Business Travel New 2,28.55863368,77.26774063,1.757,g,83.332,kg,1.757,g,83.899511,kg,0.083899511,,,,,,,,,,,No,No,Business travel Calc pro1703065972136,Business Travel - Calc,EPA 2022 - Business travel and employee commuting GHG emission factors,Passenger car,Passenger car (business travel),251,vehicle-mile,Table-6. Business travel-20231220064036613,Business travel data new,\nBusiness Travel New 20,Scope 3,Business travel,Motorcycle,12/20/2023,,1/4/2023,1/4/2023,IND,HCL ERS Scope 3,Tata Steel - NF,Business Travel New 20,28.55863368,77.26774063,1.19,g,3.111,kg,0.119,g,3.176212,kg,0.003176212,,,,,,,,,,,No,No,Business travel Calc pro1703065972136,Business Travel - Calc,EPA 2022 - Business travel and employee commuting GHG emission factors,Motorcycle,Motorcycle (business travel),17,vehicle-mile,Table-6. Business travel-20231220064036613,Business travel data new,\nBusiness Travel New 21,Scope 3,Business travel,\"Air travel - medium haul (>= 300 miles, < 2300 miles)\",12/20/2023,,1/2/2023,1/2/2023,IND,HCL ERS Scope 3,Tata Steel - TB,Business Travel New 21,28.52810705,77.28337336,0.2418,g,51.987,kg,1.6523,g,52.4854304,kg,0.0524854304,,,,,,,,,,,No,No,Business travel Calc pro1703065972136,Business Travel - Calc,EPA 2022 - Business travel and employee commuting GHG emission factors,\"Air travel - medium haul (>= 300 miles, < 2300 miles)\",\"Air travel - medium haul (>= 300 miles, < 2300 miles) (business travel)\",403,passenger-mile,Table-6. Business travel-20231220064036613,Business travel data new,\nBusiness Travel New 22,Scope 3,Business travel,Passenger car,12/20/2023,,1/5/2023,1/5/2023,IND,HCL ERS Scope 3,Tata Steel - TB,Business Travel New 22,28.52810705,77.28337336,1.022,g,48.472,kg,1.022,g,48.802106,kg,0.048802106,,,,,,,,,,,No,No,Business travel Calc pro1703065972136,Business Travel - Calc,EPA 2022 - Business travel and employee commuting GHG emission factors,Passenger car,Passenger car (business travel),146,vehicle-mile,Table-6. Business travel-20231220064036613,Business travel data new,\nBusiness Travel New 23,Scope 3,Business travel,\"Air travel - medium haul (>= 300 miles, < 2300 miles)\",12/20/2023,,1/8/2023,1/8/2023,IND,HCL ERS Scope 3,Tata Steel - TB,Business Travel New 23,28.52810705,77.28337336,0.6534,g,140.481,kg,4.4649,g,141.8278752,kg,0.1418278752,,,,,,,,,,,No,No,Business travel Calc pro1703065972136,Business Travel - Calc,EPA 2022 - Business travel and employee commuting GHG emission factors,\"Air travel - medium haul (>= 300 miles, < 2300 miles)\",\"Air travel - medium haul (>= 300 miles, < 2300 miles) (business travel)\",1089,passenger-mile,Table-6. Business travel-20231220064036613,Business travel data new,\nBusiness Travel New 24,Scope 3,Business travel,Passenger car,12/20/2023,,1/1/2023,1/1/2023,IND,HCL ERS Scope 3,Tata Steel - TB,Business Travel New 24,28.52810705,77.28337336,1.547,g,73.372,kg,1.547,g,73.871681,kg,0.073871681,,,,,,,,,,,No,No,Business travel Calc pro1703065972136,Business Travel - Calc,EPA 2022 - Business travel and employee commuting GHG emission factors,Passenger car,Passenger car (business travel),221,vehicle-mile,Table-6. Business travel-20231220064036613,Business travel data new,\nBusiness Travel New 25,Scope 3,Business travel,Passenger car,12/20/2023,,1/3/2023,1/3/2023,IND,HCL ERS Scope 3,Tata Steel - TB,Business Travel New 25,28.52810705,77.28337336,0.518,g,24.568,kg,0.518,g,24.735314,kg,0.024735314,,,,,,,,,,,No,No,Business travel Calc pro1703065972136,Business Travel - Calc,EPA 2022 - Business travel and employee commuting GHG emission factors,Passenger car,Passenger car (business travel),74,vehicle-mile,Table-6. Business travel-20231220064036613,Business travel data new,\nBusiness Travel New 26,Scope 3,Business travel,Intercity rail - Northeast Corridor,12/20/2023,,1/3/2023,1/3/2023,IND,HCL ERS Scope 3,Tata Steels - GB,Business Travel New 26,28.6475428,77.33281922,0.264,g,2.784,kg,0.0336,g,2.8006128,kg,0.0028006128,,,,,,,,,,,No,No,Business travel Calc pro1703065972136,Business Travel - Calc,EPA 2022 - Business travel and employee commuting GHG emission factors,Intercity rail - Northeast corridor,Intercity rail - Northeast corridor (business travel),48,passenger-mile,Table-6. Business travel-20231220064036613,Business travel data new,\nBusiness Travel New 27,Scope 3,Business travel,Intercity rail - national average,12/20/2023,,1/2/2023,1/2/2023,IND,HCL ERS Scope 3,Tata Steels - GB,Business Travel New 27,28.6475428,77.33281922,0.322,g,3.955,kg,0.091,g,3.990168,kg,0.003990168,,,,,,,,,,,No,No,Business travel Calc pro1703065972136,Business Travel - Calc,EPA 2022 - Business travel and employee commuting GHG emission factors,Intercity rail - national average,Intercity rail - national average (business travel),35,passenger-mile,Table-6. Business travel-20231220064036613,Business travel data new,\n\"\"\"\n\ndf = pd.read_csv(StringIO(data))\n\n\n# Inspect the dataset to identify relevant columns\ndf.head()\n\n# Relevant columns identified: 'Activity type' and 'Adjusted activity quantity'\n# Group the data by 'Activity type' and calculate the total emissions\nemissions_by_activity = df.groupby('Activity type')['Adjusted activity quantity'].sum().reset_index()\n\n# Display the aggregated data\nprint(emissions_by_activity)\n\n# Visualize the data using a bar plot\nplt.figure(figsize=(12, 8))\nplt.bar(emissions_by_activity['Activity type'], emissions_by_activity['Adjusted activity quantity'])\nplt.xlabel('Activity Type')\nplt.ylabel('Total Emissions (Adjusted Activity Quantity)')\nplt.title('Impact of Activity Type on Overall Emissions')\nplt.xticks(rotation=90)\nplt.tight_layout()\nplt.show()\n```\n\nLet's execute the code to generate the outputs.\n\nThe analysis provides two key outputs:\n\n1. Aggregated Data Table: This table shows the total emissions for each activity type, allowing for a detailed review of the values for each type.\n\n2. Bar Plot Visualization: This plot visualizes the total emissions for each activity type, helping to identify the impact of different activities on overall emissions.\n\nObservations\n\n- The bar plot highlights which activity types contribute the most to overall emissions.\n- By examining the plot, one can identify the activity types with the highest emissions, indicating areas where emission reduction efforts could be focused.\n\nThese outputs help in understanding the relative impact of different activity types on overall emissions, providing insights for targeted emission reduction strategies." | |
| }, | |
| { | |
| "input": "Name,Scope,Emissions Source,Activity type,Calculation date,Transaction date,Consumption start date,Consumption end date,Country/Region,Organizational unit,Facility,Source,Latitude,Longitude,CH4,CH4 unit,CO2,CO2 unit,N2O,N2O unit,CO2E,CO2E unit,CO2E (mt),HFCs,HFCs unit,NF3,NF3 unit,PFCs,PFCs unit,SF6,SF6 unit,Other GHGs unit,Other GHGs,Is market based,Is biogenic,Calculation job,Calculation model,Emission factor library,Emission factor,Factor mapping,Adjusted activity quantity,Adjusted activity quantity unit,Data connection refresh,Data connection,Origin correlation ID\nAssembly line components,Scope 3,Capital goods,Machinery,12/20/2023,5/26/2020,5/26/2020,5/26/2020,IND,HCL ERS Scope 3,Noida HCL.,Assembly line components,0.0,0.0,42.80103133,kg,8089.394921,kg,,,9159.420704,kg,9.159420704,,,,,,,,,,,No,No,POC-Capital Goods1703067781336,POC-Capital Goods,Capital Goods-Library,Machinery,Machinery,42801.03133,USD 2018,capital goods (used)-2. Capital goods-20231220101348042,Capital goods-power query,\nAssembly line components,Scope 3,Capital goods,Machinery,12/20/2023,2/7/2021,2/7/2021,2/7/2021,IND,HCL ERS Scope 3,Noida HCL.,Assembly line components,0.0,0.0,43.17042961,kg,8159.211195,kg,,,9238.471936,kg,9.238471936,,,,,,,,,,,No,No,POC-Capital Goods1703067781336,POC-Capital Goods,Capital Goods-Library,Machinery,Machinery,43170.42961,USD 2018,capital goods (used)-2. Capital goods-20231220101348042,Capital goods-power query,\nAssembly line components,Scope 3,Capital goods,Machinery,12/20/2023,11/20/2021,11/20/2021,11/20/2021,IND,HCL ERS Scope 3,Noida HCL.,Assembly line components,0.0,0.0,25.78343472,kg,4873.069162,kg,,,5517.65503,kg,5.51765503,,,,,,,,,,,No,No,POC-Capital Goods1703067781336,POC-Capital Goods,Capital Goods-Library,Machinery,Machinery,25783.43472,USD 2018,capital goods (used)-2. Capital goods-20231220101348042,Capital goods-power query,\nBlast Furnace Gas Leakage,Scope 1,Fugitive emissions,CO2 (AR4),11/2/2023,4/1/2023,4/1/2023,4/1/2023,IND,HCL ERS Scope 1,Tata Steel - TB,Blast Furnace Gas Leakage,28.52810705,77.28337336,,,,,,,357.34,kg,0.35734,,,,,,,,,kg,357.34,No,No,Tata Steels fugitive emissions 1698954829670,Tata Steels Fugitive Emissions,,,,,,Fugitive emissions-Fugitive emissions-20231102184057037,Fugitive emission and purchased cooling - Sample data,\nBlast Furnace Gas Leakage,Scope 1,Fugitive emissions,CO2 (AR4),11/2/2023,6/1/2023,6/1/2023,6/1/2023,IND,HCL ERS Scope 1,Tata Steels - GB,Blast Furnace Gas Leakage,28.6475428,77.33281922,,,,,,,236.8,kg,0.2368,,,,,,,,,kg,236.8,No,No,Tata Steels fugitive emissions 1698954829670,Tata Steels Fugitive Emissions,,,,,,Fugitive emissions-Fugitive emissions-20231102184057037,Fugitive emission and purchased cooling - Sample data,\nBlast Furnace Gas Leakage,Scope 1,Fugitive emissions,CO2 (AR4),11/2/2023,4/1/2023,4/1/2023,4/1/2023,IND,HCL ERS Scope 1,Tata Steel - NF,Blast Furnace Gas Leakage,28.55863368,77.26774063,,,,,,,275.56,kg,0.27556,,,,,,,,,kg,275.56,No,No,Tata Steels fugitive emissions 1698954829670,Tata Steels Fugitive Emissions,,,,,,Fugitive emissions-Fugitive emissions-20231102184057037,Fugitive emission and purchased cooling - Sample data,\nBlast Furnace Operations,Scope 1,Fugitive emissions,CO2 (AR4),11/2/2023,2/1/2023,2/1/2023,2/1/2023,IND,HCL ERS Scope 1,Tata Steels - GB,Blast Furnace Operations,28.6475428,77.33281922,,,,,,,236.34,kg,0.23634,,,,,,,,,kg,236.34,No,No,Tata Steels fugitive emissions 1698954829670,Tata Steels Fugitive Emissions,,,,,,Fugitive emissions-Fugitive emissions-20231102184057037,Fugitive emission and purchased cooling - Sample data,\nBlast Furnace Operations,Scope 1,Fugitive emissions,CO2 (AR4),11/2/2023,2/1/2023,2/1/2023,2/1/2023,IND,HCL ERS Scope 1,Tata Steel - TB,Blast Furnace Operations,28.52810705,77.28337336,,,,,,,345.1,kg,0.3451,,,,,,,,,kg,345.1,No,No,Tata Steels fugitive emissions 1698954829670,Tata Steels Fugitive Emissions,,,,,,Fugitive emissions-Fugitive emissions-20231102184057037,Fugitive emission and purchased cooling - Sample data,\nBlast Furnace Operations,Scope 1,Fugitive emissions,CO2 (AR4),11/2/2023,2/1/2023,2/1/2023,2/1/2023,IND,HCL ERS Scope 1,Tata Steel - NF,Blast Furnace Operations,28.55863368,77.26774063,,,,,,,395.4,kg,0.3954,,,,,,,,,kg,395.4,No,No,Tata Steels fugitive emissions 1698954829670,Tata Steels Fugitive Emissions,,,,,,Fugitive emissions-Fugitive emissions-20231102184057037,Fugitive emission and purchased cooling - Sample data,\nBusiness Travel New 1,Scope 3,Business travel,Air travel - medium haul (>= 300 miles, < 2300 miles),12/20/2023,,1/4/2023,1/4/2023,IND,HCL ERS Scope 3,Tata Steel - NF,Business Travel New 1,28.55863368,77.26774063,0.9456,g,203.304,kg,6.4616,g,205.2531968,kg,0.2052531968,,,,,,,,,,,No,No,Business travel Calc pro1703065972136,Business Travel - Calc,EPA 2022 - Business travel and employee commuting GHG emission factors,Air travel - medium haul (>= 300 miles, < 2300 miles),Air travel - medium haul (>= 300 miles, < 2300 miles) (business travel),1576.0,passenger-mile,Table-6. Business travel-20231220064036613,Business travel data new,\nBusiness Travel New 10,Scope 3,Business travel,Commuter rail,12/20/2023,,1/6/2023,1/6/2023,IND,HCL ERS Scope 3,Tata Steel - TB,Business Travel New 10,28.52810705,77.28337336,0.5264,g,6.533,kg,0.1316,g,6.5853768,kg,0.0065853768,,,,,,,,,,,No,No,Business travel Calc pro1703065972136,Business Travel - Calc,EPA 2022 - Business travel and employee commuting GHG emission factors,Commuter rail,Commuter rail (business travel),47.0,passenger-mile,Table-6. Business travel-20231220064036613,Business travel data new,\nBusiness Travel New 11,Scope 3,Business travel,Air travel - medium haul (>= 300 miles, < 2300 miles),12/20/2023,,1/3/2023,1/3/2023,IND,HCL ERS Scope 3,Tata Steels - GB,Business Travel New 11,28.6475428,77.33281922,1.1646,g,250.389,kg,7.9581,g,252.7896288,kg,0.2527896288,,,,,,,,,,,No,No,Business travel Calc pro1703065972136,Business Travel - Calc,EPA 2022 - Business travel and employee commuting GHG emission factors,Air travel - medium haul (>= 300 miles, < 2300 miles),Air travel - medium haul (>= 300 miles, < 2300 miles) (business travel),1941.0,passenger-mile,Table-6. Business travel-20231220064036613,Business travel data new,\nBusiness Travel New 12,Scope 3,Business travel,Air travel - short haul (< 300 miles),12/20/2023,,1/7/2023,1/7/2023,IND,HCL ERS Scope 3,Tata Steels - GB,Business Travel New 12,28.6475428,77.33281922,1.0752,g,34.776,kg,1.1088,g,35.1333024,kg,0.0351333024,,,,,,,,,,,No,No,Business travel Calc pro1703065972136,Business Travel - Calc,EPA 2022 - Business travel and employee commuting GHG emission factors,Air travel - short haul (< 300 miles),Air travel - short haul (< 300 miles) (business travel),168.0,passenger-mile,Table-6. Business travel-20231220064036613,Business travel data new,\nBusiness Travel New 13,Scope 3,Business travel,Intercity rail - Northeast Corridor,12/20/2023,,1/5/2023,1/5/2023,IND,HCL ERS Scope 3,Tata Steels - GB,Business Travel New 13,28.6475428,77.33281922,0.099,g,1.044,kg,0.0126,g,1.0502298,kg,0.0010502298,,,,,,,,,,,No,No,Business travel Calc pro1703065972136,Business Travel - Calc,EPA 2022 - Business travel and employee commuting GHG emission factors,Intercity rail - Northeast corridor,Intercity rail - Northeast corridor (business travel),18.0,passenger-mile,Table-6. Business travel-20231220064036613,Business travel data new,\nBusiness Travel New 14,Scope 3,Business travel,Bus,12/20/2023,,1/1/2023,1/1/2023,IND,HCL ERS Scope 3,Tata Steels - GB,Business Travel New 14,28.6475428,77.33281922,0.861,g,2.296,kg,0.0369,g,2.3285212,kg,0.0023285212,,,,,,,,,,,No,No,Business travel Calc pro1703065972136,Business Travel - Calc,EPA 2022 - Business travel and employee commuting GHG emission factors,Bus,Bus (business travel),41.0,passenger-mile,Table-6. Business travel-20231220064036613,Business travel data new,\nBusiness Travel New 15,Scope 3,Business travel,Light-duty truck,12/20/2023,,1/7/2023,1/7/2023,IND,HCL ERS Scope 3,Tata Steels - GB,Business Travel New 15,28.6475428,77.33281922,3.444,g,130.298,kg,2.583,g,131.153834,kg,0.131153834,,,,,,,,,,,No,No,Business travel Calc pro1703065972136,Business Travel - Calc,EPA 2022 - Business travel and employee commuting GHG emission factors,Light-duty truck,Light-duty truck (business travel),287.0,vehicle-mile,Table-6. Business travel-20231220064036613,Business travel data new,\nBusiness Travel New 16,Scope 3,Business travel,Air travel - medium haul (>= 300 miles, < 2300 miles),12/20/2023,,1/5/2023,1/5/2023,IND,HCL ERS Scope 3,Tata Steel - NF,Business Travel New 16,28.55863368,77.26774063,0.2724,g,58.566,kg,1.8614,g,59.1275072,kg,0.0591275072,,,,,,,,,,,No,No,Business travel Calc pro1703065972136,Business Travel - Calc,EPA 2022 - Business travel and employee commuting GHG emission factors,Air travel - medium haul (>= 300 miles, < 2300 miles),Air travel - medium haul (>= 300 miles, < 2300 miles) (business travel),454.0,passenger-mile,Table-6. Business travel-20231220064036613,Business travel data new,\nBusiness Travel New 17,Scope 3,Business travel,Passenger car,12/20/2023,,1/2/2023,1/2/2023,IND,HCL ERS Scope 3,Tata Steel - NF,Business Travel New 17,28.55863368,77.26774063,1.491,g,70.716,kg,1.491,g,71.197593,kg,0.071197593,,,,,,,,,,,No,No,Business travel Calc pro1703065972136,Business Travel - Calc,EPA 2022 - Business travel and employee commuting GHG emission factors,Passenger car,Passenger car (business travel),213.0,vehicle-mile,Table-6. Business travel-20231220064036613,Business travel data new,\nBusiness Travel New 18,Scope 3,Business travel,Transit rail,12/20/2023,,1/2/2023,1/2/2023,IND,HCL ERS Scope 3,Tata Steel - NF,Business Travel New 18,28.55863368,77.26774063,2.352,g,27.72,kg,0.336,g,27.878928,kg,0.027878928,,,,,,,,,,,No,No,Business travel Calc pro1703065972136,Business Travel - Calc,EPA 2022 - Business travel and employee commuting GHG emission factors,Transit rail (i.e. subway, tram),Transit rail (business travel),280.0,passenger-mile,Table-6. Business travel-20231220064036613,Business travel data new,\nBusiness Travel New 19,Scope 3,Business travel,Intercity rail - national average,12/20/2023,,1/5/2023,1/5/2023,IND,HCL ERS Scope 3,Tata Steel - NF,Business Travel New 19,28.55863368,77.26774063,0.2944,g,3.616,kg,0.0832,g,3.6481536,kg,0.0036481536,,,,,,,,,,,No,No,Business travel Calc pro1703065972136,Business Travel - Calc,EPA 2022 - Business travel and employee commuting GHG emission factors,Intercity rail - national average,Intercity rail - national average (business travel),32.0,passenger-mile,Table-6. Business travel-20231220064036613,Business travel data new,\nBusiness Travel New 2,Scope 3,Business travel,Passenger car,12/20/2023,,1/7/2023,1/7/2023,IND,HCL ERS Scope 3,Tata Steel - NF,Business Travel New 2,28.55863368,77.26774063,1.757,g,83.332,kg,1.757,g,83.899511,kg,0.083899511,,,,,,,,,,,No,No,Business travel Calc pro1703065972136,Business Travel - Calc,EPA 2022 - Business travel and employee commuting GHG emission factors,Passenger car,Passenger car (business travel),251.0,vehicle-mile,Table-6. Business travel-20231220064036613,Business travel data new,\nBusiness Travel New 20,Scope 3,Business travel,Motorcycle,12/20/2023,,1/4/2023,1/4/2023,IND,HCL ERS Scope 3,Tata Steel - NF,Business Travel New 20,28.55863368,77.26774063,1.19,g,3.111,kg,0.119,g,3.176212,kg,0.003176212,,,,,,,,,,,No,No,Business travel Calc pro1703065972136,Business Travel - Calc,EPA 2022 - Business travel and employee commuting GHG emission factors,Motorcycle,Motorcycle (business travel),17.0,vehicle-mile,Table-6. Business travel-20231220064036613,Business travel data new,\nBusiness Travel New 21,Scope 3,Business travel,Air travel - medium haul (>= 300 miles, < 2300 miles),12/20/2023,,1/2/2023,1/2/2023,IND,HCL ERS Scope 3,Tata Steel - TB,Business Travel New 21,28.52810705,77.28337336,0.2418,g,51.987,kg,1.6523,g,52.4854304,kg,0.0524854304,,,,,,,,,,,No,No,Business travel Calc pro1703065972136,Business Travel - Calc,EPA 2022 - Business travel and employee commuting GHG emission factors,Air travel - medium haul (>= 300 miles, < 2300 miles),Air travel - medium haul (>= 300 miles, < 2300 miles) (business travel),403.0,passenger-mile,Table-6. Business travel-20231220064036613,Business travel data new,\nBusiness Travel New 22,Scope 3,Business travel,Passenger car,12/20/2023,,1/5/2023,1/5/2023,IND,HCL ERS Scope 3,Tata Steel - TB,Business Travel New 22,28.52810705,77.28337336,1.022,g,48.472,kg,1.022,g,48.802106,kg,0.048802106,,,,,,,,,,,No,No,Business travel Calc pro1703065972136,Business Travel - Calc,EPA 2022 - Business travel and employee commuting GHG emission factors,Passenger car,Passenger car (business travel),146.0,vehicle-mile,Table-6. Business travel-20231220064036613,Business travel data new,\nBusiness Travel New 23,Scope 3,Business travel,Air travel - medium haul (>= 300 miles, < 2300 miles),12/20/2023,,1/8/2023,1/8/2023,IND,HCL ERS Scope 3,Tata Steel - TB,Business Travel New 23,28.52810705,77.28337336,0.6534,g,140.481,kg,4.4649,g,141.8278752,kg,0.1418278752,,,,,,,,,,,No,No,Business travel Calc pro1703065972136,Business Travel - Calc,EPA 2022 - Business travel and employee commuting GHG emission factors,Air travel - medium haul (>= 300 miles, < 2300 miles),Air travel - medium haul (>= 300 miles, < 2300 miles) (business travel),1089.0,passenger-mile,Table-6. Business travel-20231220064036613,Business travel data new,\nBusiness Travel New 24,Scope 3,Business travel,Passenger car,12/20/2023,,1/1/2023,1/1/2023,IND,HCL ERS Scope 3,Tata Steel - TB,Business Travel New 24,28.52810705,77.28337336,1.547,g,73.372,kg,1.547,g,73.871681,kg,0.073871681,,,,,,,,,,,No,No,Business travel Calc pro1703065972136,Business Travel - Calc,EPA 2022 - Business travel and employee commuting GHG emission factors,Passenger car,Passenger car (business travel),221.0,vehicle-mile,Table-6. Business travel-20231220064036613,Business travel data new,\nBusiness Travel New 25,Scope 3,Business travel,Passenger car,12/20/2023,,1/3/2023,1/3/2023,IND,HCL ERS Scope 3,Tata Steel - TB,Business Travel New 25,28.52810705,77.28337336,0.518,g,24.568,kg,0.518,g,24.735314,kg,0.024735314,,,,,,,,,,,No,No,Business travel Calc pro1703065972136,Business Travel - Calc,EPA 2022 - Business travel and employee commuting GHG emission factors,Passenger car,Passenger car (business travel),74.0,vehicle-mile,Table-6. Business travel-20231220064036613,Business travel data new,\nBusiness Travel New 26,Scope 3,Business travel,Intercity rail - Northeast Corridor,12/20/2023,,1/3/2023,1/3/2023,IND,HCL ERS Scope 3,Tata Steels - GB,Business Travel New 26,28.6475428,77.33281922,0.264,g,2.784,kg,0.0336,g,2.8006128,kg,0.0028006128,,,,,,,,,,,No,No,Business travel Calc pro1703065972136,Business Travel - Calc,EPA 2022 - Business travel and employee commuting GHG emission factors,Intercity rail - Northeast corridor,Intercity rail - Northeast corridor (business travel),48.0,passenger-mile,Table-6. Business travel-20231220064036613,Business travel data new,\nBusiness Travel New 27,Scope 3,Business travel,Intercity rail - national average,12/20/2023,,1/2/2023,1/2/2023,IND,HCL ERS Scope 3,Tata Steels - GB,Business Travel New 27,28.6475428,77.33281922,0.322,g,3.955,kg,0.091,g,3.990168,kg,0.003990168,,,,,,,,,,,No,No,Business travel Calc pro1703065972136,Business Travel - Calc,EPA 2022 - Business travel and employee commuting GHG emission factors,Intercity rail - national average,Intercity rail - national average (business travel),35.0,passenger-mile,Table-6. Business travel-20231220064036613,Business travel data new,\n", | |
| "instruction": "What are the potential reduction targets for each type of emission source?", | |
| "output": "To establish potential reduction targets for each type of emission source, we'll follow these steps:\n\n1. Analyze the current emissions data to identify baseline values for each emission source.\n2. Set realistic and achievable reduction targets based on industry standards, best practices, and potential optimization strategies.\n\nSteps and Code\n\nStep 1: Analyze the current emissions data\n\nWe'll calculate the total emissions for each type of emission source to establish baseline values.\n\nStep 2: Set reduction targets\n\nBased on these baseline values, we'll set potential reduction targets, aiming for specific percentages of reduction.\n\nHere is the complete code to perform these steps:\n\nStep 1: Analyze the current emissions data\n\nWe'll extract and aggregate the emissions data by emission source.\n\n```python\nimport pandas as pd\nfrom io import StringIO\n\n# Load the dataset\ndata = \"\"\"Name,Scope,Emissions Source,Activity type,Calculation date,Transaction date,Consumption start date,Consumption end date,Country/Region,Organizational unit,Facility,Source,Latitude,Longitude,CH4,CH4 unit,CO2,CO2 unit,N2O,N2O unit,CO2E,CO2E unit,CO2E (mt),HFCs,HFCs unit,NF3,NF3 unit,PFCs,PFCs unit,SF6,SF6 unit,Other GHGs unit,Other GHGs,Is market based,Is biogenic,Calculation job,Calculation model,Emission factor library,Emission factor,Factor mapping,Adjusted activity quantity,Adjusted activity quantity unit,Data connection refresh,Data connection,Origin correlation ID\nAssembly line components,Scope 3,Capital goods,Machinery,12/20/2023,5/26/2020,5/26/2020,5/26/2020,IND,HCL ERS Scope 3,Noida HCL.,Assembly line components,0,0,42.80103133,kg,8089.394921,kg,,,9159.420704,kg,9.159420704,,,,,,,,,,,No,No,POC-Capital Goods1703067781336,POC-Capital Goods,Capital Goods-Library,Machinery,Machinery,42801.03133,USD 2018,capital goods (used)-2. Capital goods-20231220101348042,Capital goods-power query,\nAssembly line components,Scope 3,Capital goods,Machinery,12/20/2023,2/7/2021,2/7/2021,2/7/2021,IND,HCL ERS Scope 3,Noida HCL.,Assembly line components,0,0,43.17042961,kg,8159.211195,kg,,,9238.471936,kg,9.238471936,,,,,,,,,,,No,No,POC-Capital Goods1703067781336,POC-Capital Goods,Capital Goods-Library,Machinery,Machinery,43170.42961,USD 2018,capital goods (used)-2. Capital goods-20231220101348042,Capital goods-power query,\nAssembly line components,Scope 3,Capital goods,Machinery,12/20/2023,11/20/2021,11/20/2021,11/20/2021,IND,HCL ERS Scope 3,Noida HCL.,Assembly line components,0,0,25.78343472,kg,4873.069162,kg,,,5517.65503,kg,5.51765503,,,,,,,,,,,No,No,POC-Capital Goods1703067781336,POC-Capital Goods,Capital Goods-Library,Machinery,Machinery,25783.43472,USD 2018,capital goods (used)-2. Capital goods-20231220101348042,Capital goods-power query,\nBlast Furnace Gas Leakage,Scope 1,Fugitive emissions,CO2 (AR4),11/2/2023,4/1/2023,4/1/2023,4/1/2023,IND,HCL ERS Scope 1,Tata Steel - TB,Blast Furnace Gas Leakage,28.52810705,77.28337336,,,,,,,357.34,kg,0.35734,,,,,,,,,kg,357.34,No,No,Tata Steels fugitive emissions 1698954829670,Tata Steels Fugitive Emissions,,,,,,Fugitive emissions-Fugitive emissions-20231102184057037,Fugitive emission and purchased cooling - Sample data,\nBlast Furnace Gas Leakage,Scope 1,Fugitive emissions,CO2 (AR4),11/2/2023,6/1/2023,6/1/2023,6/1/2023,IND,HCL ERS Scope 1,Tata Steels - GB,Blast Furnace Gas Leakage,28.6475428,77.33281922,,,,,,,236.8,kg,0.2368,,,,,,,,,kg,236.8,No,No,Tata Steels fugitive emissions 1698954829670,Tata Steels Fugitive Emissions,,,,,,Fugitive emissions-Fugitive emissions-20231102184057037,Fugitive emission and purchased cooling - Sample data,\nBlast Furnace Gas Leakage,Scope 1,Fugitive emissions,CO2 (AR4),11/2/2023,4/1/2023,4/1/2023,4/1/2023,IND,HCL ERS Scope 1,Tata Steel - NF,Blast Furnace Gas Leakage,28.55863368,77.26774063,,,,,,,275.56,kg,0.27556,,,,,,,,,kg,275.56,No,No,Tata Steels fugitive emissions 1698954829670,Tata Steels Fugitive Emissions,,,,,,Fugitive emissions-Fugitive emissions-20231102184057037,Fugitive emission and purchased cooling - Sample data,\nBlast Furnace Operations,Scope 1,Fugitive emissions,CO2 (AR4),11/2/2023,2/1/2023,2/1/2023,2/1/2023,IND,HCL ERS Scope 1,Tata Steels - GB,Blast Furnace Operations,28.6475428,77.33281922,,,,,,,236.34,kg,0.23634,,,,,,,,,kg,236.34,No,No,Tata Steels fugitive emissions 1698954829670,Tata Steels Fugitive Emissions,,,,,,Fugitive emissions-Fugitive emissions-20231102184057037,Fugitive emission and purchased cooling - Sample data,\nBlast Furnace Operations,Scope 1,Fugitive emissions,CO2 (AR4),11/2/2023,2/1/2023,2/1/2023,2/1/2023,IND,HCL ERS Scope 1,Tata Steel - TB,Blast Furnace Operations,28.52810705,77.28337336,,,,,,,345.1,kg,0.3451,,,,,,,,,kg,345.1,No,No,Tata Steels fugitive emissions 1698954829670,Tata Steels Fugitive Emissions,,,,,,Fugitive emissions-Fugitive emissions-20231102184057037,Fugitive emission and purchased cooling - Sample data,\nBlast Furnace Operations,Scope 1,Fugitive emissions,CO2 (AR4),11/2/2023,2/1/2023,2/1/2023,2/1/2023,IND,HCL ERS Scope 1,Tata Steel - NF,Blast Furnace Operations,28.55863368,77.26774063,,,,,,,395.4,kg,0.3954,,,,,,,,,kg,395.4,No,No,Tata Steels fugitive emissions 1698954829670,Tata Steels Fugitive Emissions,,,,,,Fugitive emissions-Fugitive emissions-20231102184057037,Fugitive emission and purchased cooling - Sample data,\nBusiness Travel New 1,Scope 3,Business travel,\"Air travel - medium haul (>= 300 miles, < 2300 miles)\",12/20/2023,,1/4/2023,1/4/2023,IND,HCL ERS Scope 3,Tata Steel - NF,Business Travel New 1,28.55863368,77.26774063,0.9456,g,203.304,kg,6.4616,g,205.2531968,kg,0.2052531968,,,,,,,,,,,No,No,Business travel Calc pro1703065972136,Business Travel - Calc,EPA 2022 - Business travel and employee commuting GHG emission factors,\"Air travel - medium haul (>= 300 miles, < 2300 miles)\",\"Air travel - medium haul (>= 300 miles, < 2300 miles) (business travel)\",1576,passenger-mile,Table-6. Business travel-20231220064036613,Business travel data new,\nBusiness Travel New 10,Scope 3,Business travel,Commuter rail,12/20/2023,,1/6/2023,1/6/2023,IND,HCL ERS Scope 3,Tata Steel - TB,Business Travel New 10,28.52810705,77.28337336,0.5264,g,6.533,kg,0.1316,g,6.5853768,kg,0.0065853768,,,,,,,,,,,No,No,Business travel Calc pro1703065972136,Business Travel - Calc,EPA 2022 - Business travel and employee commuting GHG emission factors,Commuter rail,Commuter rail (business travel),47,passenger-mile,Table-6. Business travel-20231220064036613,Business travel data new,\nBusiness Travel New 11,Scope 3,Business travel,\"Air travel - medium haul (>= 300 miles, < 2300 miles)\",12/20/2023,,1/3/2023,1/3/2023,IND,HCL ERS Scope 3,Tata Steels - GB,Business Travel New 11,28.6475428,77.33281922,1.1646,g,250.389,kg,7.9581,g,252.7896288,kg,0.2527896288,,,,,,,,,,,No,No,Business travel Calc pro1703065972136,Business Travel - Calc,EPA 2022 - Business travel and employee commuting GHG emission factors,\"Air travel - medium haul (>= 300 miles, < 2300 miles)\",\"Air travel - medium haul (>= 300 miles, < 2300 miles) (business travel)\",1941,passenger-mile,Table-6. Business travel-20231220064036613,Business travel data new,\nBusiness Travel New 12,Scope 3,Business travel,Air travel - short haul (< 300 miles),12/20/2023,,1/7/2023,1/7/2023,IND,HCL ERS Scope 3,Tata Steels - GB,Business Travel New 12,28.6475428,77.33281922,1.0752,g,34.776,kg,1.1088,g,35.1333024,kg,0.0351333024,,,,,,,,,,,No,No,Business travel Calc pro1703065972136,Business Travel - Calc,EPA 2022 - Business travel and employee commuting GHG emission factors,Air travel - short haul (< 300 miles),Air travel - short haul (< 300 miles) (business travel),168,passenger-mile,Table-6. Business travel-20231220064036613,Business travel data new,\nBusiness Travel New 13,Scope 3,Business travel,Intercity rail - Northeast Corridor,12/20/2023,,1/5/2023,1/5/2023,IND,HCL ERS Scope 3,Tata Steels - GB,Business Travel New 13,28.6475428,77.33281922,0.099,g,1.044,kg,0.0126,g,1.0502298,kg,0.0010502298,,,,,,,,,,,No,No,Business travel Calc pro1703065972136,Business Travel - Calc,EPA 2022 - Business travel and employee commuting GHG emission factors,Intercity rail - Northeast corridor,Intercity rail - Northeast corridor (business travel),18,passenger-mile,Table-6. Business travel-20231220064036613,Business travel data new,\nBusiness Travel New 14,Scope 3,Business travel,Bus,12/20/2023,,1/1/2023,1/1/2023,IND,HCL ERS Scope 3,Tata Steels - GB,Business Travel New 14,28.6475428,77.33281922,0.861,g,2.296,kg,0.0369,g,2.3285212,kg,0.0023285212,,,,,,,,,,,No,No,Business travel Calc pro1703065972136,Business Travel - Calc,EPA 2022 - Business travel and employee commuting GHG emission factors,Bus,Bus (business travel),41,passenger-mile,Table-6. Business travel-20231220064036613,Business travel data new,\nBusiness Travel New 15,Scope 3,Business travel,Light-duty truck,12/20/2023,,1/7/2023,1/7/2023,IND,HCL ERS Scope 3,Tata Steels - GB,Business Travel New 15,28.6475428,77.33281922,3.444,g,130.298,kg,2.583,g,131.153834,kg,0.131153834,,,,,,,,,,,No,No,Business travel Calc pro1703065972136,Business Travel - Calc,EPA 2022 - Business travel and employee commuting GHG emission factors,Light-duty truck,Light-duty truck (business travel),287,vehicle-mile,Table-6. Business travel-20231220064036613,Business travel data new,\nBusiness Travel New 16,Scope 3,Business travel,\"Air travel - medium haul (>= 300 miles, < 2300 miles)\",12/20/2023,,1/5/2023,1/5/2023,IND,HCL ERS Scope 3,Tata Steel - NF,Business Travel New 16,28.55863368,77.26774063,0.2724,g,58.566,kg,1.8614,g,59.1275072,kg,0.0591275072,,,,,,,,,,,No,No,Business travel Calc pro1703065972136,Business Travel - Calc,EPA 2022 - Business travel and employee commuting GHG emission factors,\"Air travel - medium haul (>= 300 miles, < 2300 miles)\",\"Air travel - medium haul (>= 300 miles, < 2300 miles) (business travel)\",454,passenger-mile,Table-6. Business travel-20231220064036613,Business travel data new,\nBusiness Travel New 17,Scope 3,Business travel,Passenger car,12/20/2023,,1/2/2023,1/2/2023,IND,HCL ERS Scope 3,Tata Steel - NF,Business Travel New 17,28.55863368,77.26774063,1.491,g,70.716,kg,1.491,g,71.197593,kg,0.071197593,,,,,,,,,,,No,No,Business travel Calc pro1703065972136,Business Travel - Calc,EPA 2022 - Business travel and employee commuting GHG emission factors,Passenger car,Passenger car (business travel),213,vehicle-mile,Table-6. Business travel-20231220064036613,Business travel data new,\nBusiness Travel New 18,Scope 3,Business travel,Transit rail,12/20/2023,,1/2/2023,1/2/2023,IND,HCL ERS Scope 3,Tata Steel - NF,Business Travel New 18,28.55863368,77.26774063,2.352,g,27.72,kg,0.336,g,27.878928,kg,0.027878928,,,,,,,,,,,No,No,Business travel Calc pro1703065972136,Business Travel - Calc,EPA 2022 - Business travel and employee commuting GHG emission factors,\"Transit rail (i.e. subway, tram)\",Transit rail (business travel),280,passenger-mile,Table-6. Business travel-20231220064036613,Business travel data new,\nBusiness Travel New 19,Scope 3,Business travel,Intercity rail - national average,12/20/2023,,1/5/2023,1/5/2023,IND,HCL ERS Scope 3,Tata Steel - NF,Business Travel New 19,28.55863368,77.26774063,0.2944,g,3.616,kg,0.0832,g,3.6481536,kg,0.0036481536,,,,,,,,,,,No,No,Business travel Calc pro1703065972136,Business Travel - Calc,EPA 2022 - Business travel and employee commuting GHG emission factors,Intercity rail - national average,Intercity rail - national average (business travel),32,passenger-mile,Table-6. Business travel-20231220064036613,Business travel data new,\nBusiness Travel New 2,Scope 3,Business travel,Passenger car,12/20/2023,,1/7/2023,1/7/2023,IND,HCL ERS Scope 3,Tata Steel - NF,Business Travel New 2,28.55863368,77.26774063,1.757,g,83.332,kg,1.757,g,83.899511,kg,0.083899511,,,,,,,,,,,No,No,Business travel Calc pro1703065972136,Business Travel - Calc,EPA 2022 - Business travel and employee commuting GHG emission factors,Passenger car,Passenger car (business travel),251,vehicle-mile,Table-6. Business travel-20231220064036613,Business travel data new,\nBusiness Travel New 20,Scope 3,Business travel,Motorcycle,12/20/2023,,1/4/2023,1/4/2023,IND,HCL ERS Scope 3,Tata Steel - NF,Business Travel New 20,28.55863368,77.26774063,1.19,g,3.111,kg,0.119,g,3.176212,kg,0.003176212,,,,,,,,,,,No,No,Business travel Calc pro1703065972136,Business Travel - Calc,EPA 2022 - Business travel and employee commuting GHG emission factors,Motorcycle,Motorcycle (business travel),17,vehicle-mile,Table-6. Business travel-20231220064036613,Business travel data new,\nBusiness Travel New 21,Scope 3,Business travel,\"Air travel - medium haul (>= 300 miles, < 2300 miles)\",12/20/2023,,1/2/2023,1/2/2023,IND,HCL ERS Scope 3,Tata Steel - TB,Business Travel New 21,28.52810705,77.28337336,0.2418,g,51.987,kg,1.6523,g,52.4854304,kg,0.0524854304,,,,,,,,,,,No,No,Business travel Calc pro1703065972136,Business Travel - Calc,EPA 2022 - Business travel and employee commuting GHG emission factors,\"Air travel - medium haul (>= 300 miles, < 2300 miles)\",\"Air travel - medium haul (>= 300 miles, < 2300 miles) (business travel)\",403,passenger-mile,Table-6. Business travel-20231220064036613,Business travel data new,\nBusiness Travel New 22,Scope 3,Business travel,Passenger car,12/20/2023,,1/5/2023,1/5/2023,IND,HCL ERS Scope 3,Tata Steel - TB,Business Travel New 22,28.52810705,77.28337336,1.022,g,48.472,kg,1.022,g,48.802106,kg,0.048802106,,,,,,,,,,,No,No,Business travel Calc pro1703065972136,Business Travel - Calc,EPA 2022 - Business travel and employee commuting GHG emission factors,Passenger car,Passenger car (business travel),146,vehicle-mile,Table-6. Business travel-20231220064036613,Business travel data new,\nBusiness Travel New 23,Scope 3,Business travel,\"Air travel - medium haul (>= 300 miles, < 2300 miles)\",12/20/2023,,1/8/2023,1/8/2023,IND,HCL ERS Scope 3,Tata Steel - TB,Business Travel New 23,28.52810705,77.28337336,0.6534,g,140.481,kg,4.4649,g,141.8278752,kg,0.1418278752,,,,,,,,,,,No,No,Business travel Calc pro1703065972136,Business Travel - Calc,EPA 2022 - Business travel and employee commuting GHG emission factors,\"Air travel - medium haul (>= 300 miles, < 2300 miles)\",\"Air travel - medium haul (>= 300 miles, < 2300 miles) (business travel)\",1089,passenger-mile,Table-6. Business travel-20231220064036613,Business travel data new,\nBusiness Travel New 24,Scope 3,Business travel,Passenger car,12/20/2023,,1/1/2023,1/1/2023,IND,HCL ERS Scope 3,Tata Steel - TB,Business Travel New 24,28.52810705,77.28337336,1.547,g,73.372,kg,1.547,g,73.871681,kg,0.073871681,,,,,,,,,,,No,No,Business travel Calc pro1703065972136,Business Travel - Calc,EPA 2022 - Business travel and employee commuting GHG emission factors,Passenger car,Passenger car (business travel),221,vehicle-mile,Table-6. Business travel-20231220064036613,Business travel data new,\nBusiness Travel New 25,Scope 3,Business travel,Passenger car,12/20/2023,,1/3/2023,1/3/2023,IND,HCL ERS Scope 3,Tata Steel - TB,Business Travel New 25,28.52810705,77.28337336,0.518,g,24.568,kg,0.518,g,24.735314,kg,0.024735314,,,,,,,,,,,No,No,Business travel Calc pro1703065972136,Business Travel - Calc,EPA 2022 - Business travel and employee commuting GHG emission factors,Passenger car,Passenger car (business travel),74,vehicle-mile,Table-6. Business travel-20231220064036613,Business travel data new,\nBusiness Travel New 26,Scope 3,Business travel,Intercity rail - Northeast Corridor,12/20/2023,,1/3/2023,1/3/2023,IND,HCL ERS Scope 3,Tata Steels - GB,Business Travel New 26,28.6475428,77.33281922,0.264,g,2.784,kg,0.0336,g,2.8006128,kg,0.0028006128,,,,,,,,,,,No,No,Business travel Calc pro1703065972136,Business Travel - Calc,EPA 2022 - Business travel and employee commuting GHG emission factors,Intercity rail - Northeast corridor,Intercity rail - Northeast corridor (business travel),48,passenger-mile,Table-6. Business travel-20231220064036613,Business travel data new,\nBusiness Travel New 27,Scope 3,Business travel,Intercity rail - national average,12/20/2023,,1/2/2023,1/2/2023,IND,HCL ERS Scope 3,Tata Steels - GB,Business Travel New 27,28.6475428,77.33281922,0.322,g,3.955,kg,0.091,g,3.990168,kg,0.003990168,,,,,,,,,,,No,No,Business travel Calc pro1703065972136,Business Travel - Calc,EPA 2022 - Business travel and employee commuting GHG emission factors,Intercity rail - national average,Intercity rail - national average (business travel),35,passenger-mile,Table-6. Business travel-20231220064036613,Business travel data new,\n\"\"\"\n\ndf = pd.read_csv(StringIO(data))\n\n# Aggregate emissions data by emission sources\nemissions_by_source = df.groupby('Emissions Source')['CO2E (mt)'].sum().reset_index()\n\n\n# Display the aggregated data for review\nemissions_by_source\n```\n\nStep 2: Set reduction targets\n\nWe'll set reduction targets, assuming potential reductions of 10%, 20%, and 30% for demonstration.\n\n```python\n# Set reduction targets (example: 10%, 20%, 30%)\nemissions_by_source['10% Reduction Target'] = emissions_by_source['CO2E (mt)'] * 0.9\nemissions_by_source['20% Reduction Target'] = emissions_by_source['CO2E (mt)'] * 0.8\nemissions_by_source['30% Reduction Target'] = emissions_by_source['CO2E (mt)'] * 0.7\n\n# Display the reduction targets for review\nemissions_by_source\n```\n\nLet's execute the code to generate the outputs and calculate the potential reduction targets.\n\nPotential Reduction Targets for Each Type of Emission Source\n\nThe table below shows the current emissions, as well as the potential reduction targets for each emission source if reductions of 10%, 20%, and 30% are achieved:\n\nEmissions Source\tCO2E (mt)\t10% Reduction Target\t20% Reduction Target\t30% Reduction Target\n0\tBusiness travel\t1.231735\t1.108562\t0.985388\t0.862215\n1\tCapital goods\t23.915548\t21.523993\t19.132438\t16.740883\n2\tFugitive emissions\t1.846540\t1.661886\t1.477232\t1.292578\n\nConclusion\n\nBy setting and striving for these reduction targets, it is possible to significantly reduce overall emissions. These targets provide a clear goal for each emission source, guiding efforts towards more sustainable practices and substantial emission reductions." | |
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