"0","# data for generating transport impact values"
"0","routes <- read_csv(""data/TransportRoutes.csv"")"
"2","Parsed with column specification:
cols(
  Activity = [31mcol_character()[39m,
  SimpleEOLname = [31mcol_character()[39m,
  TransportLeg = [31mcol_character()[39m,
  Dist = [32mcol_double()[39m,
  Unit = [31mcol_character()[39m,
  VehicleClass = [31mcol_character()[39m,
  CarbonFactor = [32mcol_double()[39m,
  EnergyFactor = [32mcol_double()[39m,
  CarbonImpact = [32mcol_double()[39m,
  EnergyImpact = [32mcol_double()[39m,
  CarbonPerProjectImpacts = [32mcol_double()[39m,
  EnergyPerProjectImpacts = [32mcol_double()[39m,
  Notes = [31mcol_character()[39m
)
"
"0","house_weight <- read_csv(""intermediary/house_weight.csv"")"
"2","Parsed with column specification:
cols(
  contractor = [31mcol_character()[39m,
  project = [32mcol_double()[39m,
  total_salvage_quantity = [32mcol_double()[39m,
  salvage_quantity_units = [31mcol_character()[39m,
  total_dropbox_quantity = [32mcol_double()[39m,
  dropbox_quantity_units = [31mcol_character()[39m,
  total_house_weight = [32mcol_double()[39m,
  total_house_weight_units = [31mcol_character()[39m,
  percent_salvaged = [32mcol_double()[39m,
  house_age = [32mcol_double()[39m,
  house_size = [32mcol_double()[39m
)
"
"0","number_of_projects <- as.numeric(length(house_weight$project))"
"0","# data for material based transport impacts"
"0","material_name_mapping <- read_csv(""intermediary/deconMaterialName_SimpleEOLname_mapping.csv"")"
"2","Missing column names filled in: 'X1' [1]"
"2","Parsed with column specification:
cols(
  X1 = [32mcol_double()[39m,
  SimpleEOLname = [31mcol_character()[39m,
  deconMaterialName = [31mcol_character()[39m
)
"
"0","# dropbox data for calculating dropbox transport"
"0","dropbox_EOL_weight <- read_csv(""intermediary/dropbox_EOL_weight_composition.csv"")"
"2","Missing column names filled in: 'X1' [1]"
"2","Parsed with column specification:
cols(
  X1 = [32mcol_double()[39m,
  contractor = [31mcol_character()[39m,
  project = [32mcol_double()[39m,
  total_dropbox_quantity = [32mcol_double()[39m,
  quantity_units = [31mcol_character()[39m,
  SimpleEOLname = [31mcol_character()[39m,
  deconMaterialName = [31mcol_character()[39m,
  Distribution = [32mcol_double()[39m,
  disposition_assignment = [31mcol_character()[39m,
  percentage = [32mcol_double()[39m,
  disposition = [31mcol_character()[39m,
  kg_composition = [32mcol_double()[39m,
  dropbox_EOL_kg = [32mcol_double()[39m
)
"
"0","# impact data for combining final results"
"0","decon <- read_csv(""intermediary/deconData.csv"")"
"2","Missing column names filled in: 'X1' [1]"
"2","Parsed with column specification:
cols(
  X1 = [32mcol_double()[39m,
  project = [32mcol_double()[39m,
  contractor = [31mcol_character()[39m,
  house_age = [32mcol_double()[39m,
  house_size = [32mcol_double()[39m,
  deconMaterialName = [31mcol_character()[39m,
  quantity = [32mcol_double()[39m,
  quantity_units = [31mcol_character()[39m,
  disposition = [31mcol_character()[39m,
  impact_category = [31mcol_character()[39m,
  material_impacts = [32mcol_double()[39m,
  material_impact_units = [31mcol_character()[39m,
  SimpleEOLname = [31mcol_character()[39m
)
"
"0","demo <- read_csv(""intermediary/demoData.csv"")"
"2","Missing column names filled in: 'X1' [1]"
"2","Parsed with column specification:
cols(
  X1 = [32mcol_double()[39m,
  house_age = [32mcol_double()[39m,
  house_size = [32mcol_double()[39m,
  project = [32mcol_double()[39m,
  contractor = [31mcol_character()[39m,
  deconMaterialName = [31mcol_character()[39m,
  quantity = [32mcol_double()[39m,
  quantity_units = [31mcol_character()[39m,
  disposition = [31mcol_character()[39m,
  impact_category = [31mcol_character()[39m,
  material_impacts = [32mcol_double()[39m,
  material_impact_units = [31mcol_character()[39m,
  SimpleEOLname = [31mcol_character()[39m
)
"
