257 minimal demo data lbk and abcd

data-raw/abcd_demo.R

@@ -147,18 +147,13 @@ ordered_names <- c(
   "year",
   "production",
   "emission_factor",
-  "country_of_domicile",
   "plant_location",
   "is_ultimate_owner",
-  "ald_timestamp",
   emission_factor_unit = "ald_emission_factor_unit"
 )
 
 abcd_demo <- select(abcd_demo, all_of(ordered_names))
 
-abcd_demo <- rename(abcd_demo, abcd_timestamp = ald_timestamp)
-
-
 # hot fixes for late 2023 release ----------------------------------------------
 
 # remove Shipping data

data-raw/data_dictionary/abcd_demo.csv

@@ -8,8 +8,6 @@ abcd_demo,production_unit,character,The units that production is measured in
 abcd_demo,year,integer,Year at which the production value is predicted
 abcd_demo,production,double,Company level production of the technology
 abcd_demo,emission_factor,double,Company level emission factor of the technology
-abcd_demo,country_of_domicile,character,Country where company is registered
 abcd_demo,plant_location,character,Country where asset is located
 abcd_demo,is_ultimate_owner,logical,Flag if company is the ultimate parent in our database
-abcd_demo,abcd_timestamp,character,Date at which asset data was sourced from the data provider
 abcd_demo,emission_factor_unit,character,The units that the emission factor is measured in

data-raw/data_dictionary/loanbook_demo.csv

@@ -1,20 +1,14 @@
-dataset,column,typeof,definition
-loanbook_demo,id_loan,character,Unique loan identifier
-loanbook_demo,id_direct_loantaker,character,Borrower identifier unique to each borrower/sector combination in loanbook
-loanbook_demo,name_direct_loantaker,character,Name of the company directly taking the loan
-loanbook_demo,id_intermediate_parent_n,character,Optional input: id of the n-th intermediate parent company within the company structure that can be used for more granular mapping than the ultimate parent. Smaller values of n are closer to the direct_loantaker
-loanbook_demo,name_intermediate_parent_n,character,Optional input: name of intermediate parent company within the company structure that can be used for more granular mapping than the ultimate parent. Smaller values of n are closer to the direct_loantaker
-loanbook_demo,id_ultimate_parent,character,Ultimate parent identifier unique to each ultimate parent/sector combination
-loanbook_demo,name_ultimate_parent,character,Name of the ultimate parent company to which the borrower belongs. Can be the same as borrower
-loanbook_demo,loan_size_outstanding,double,Amount drawn by borrower from total credit limit
-loanbook_demo,loan_size_outstanding_currency,character,Currency corresponding to outstandings
-loanbook_demo,loan_size_credit_limit,double,Total credit limit or exposure at default
-loanbook_demo,loan_size_credit_limit_currency,character,Currency corresponding to credit limit
-loanbook_demo,sector_classification_system,character,Name of the sector classification standard being used
-loanbook_demo,sector_classification_input_type,character,Flag identifying if the sector classification code or character description is used
-loanbook_demo,sector_classification_direct_loantaker,double,Sector classification code of the direct loantaker
-loanbook_demo,fi_type,character,Financial instrument name or asset class
-loanbook_demo,flag_project_finance_loan,character,Project finance flag denoting whether a loan is given out to a particular asset or not
-loanbook_demo,name_project,logical,Required input for loans with the flag_project_finance_loan = TRUE: Name of the project being financed
-loanbook_demo,lei_direct_loantaker,logical,Optional input: providing the lei (legal entity identifier) of the direct loan taker to improve the matching coverage
-loanbook_demo,isin_direct_loantaker,logical,Optional input: providing the isin identifier of the direct loan taker to improve the matching coverage
+dataset,column,typeof,definition
+loanbook_demo,id_loan,character,Unique loan identifier
+loanbook_demo,id_direct_loantaker,character,Borrower identifier unique to each borrower/sector combination in loanbook
+loanbook_demo,name_direct_loantaker,character,Name of the company directly taking the loan
+loanbook_demo,id_ultimate_parent,character,Ultimate parent identifier unique to each ultimate parent/sector combination
+loanbook_demo,name_ultimate_parent,character,Name of the ultimate parent company to which the borrower belongs. Can be the same as borrower
+loanbook_demo,loan_size_outstanding,double,Amount drawn by borrower from total credit limit
+loanbook_demo,loan_size_outstanding_currency,character,Currency corresponding to outstandings
+loanbook_demo,loan_size_credit_limit,double,Total credit limit or exposure at default
+loanbook_demo,loan_size_credit_limit_currency,character,Currency corresponding to credit limit
+loanbook_demo,sector_classification_system,character,Name of the sector classification standard being used
+loanbook_demo,sector_classification_direct_loantaker,double,Sector classification code of the direct loantaker
+loanbook_demo,lei_direct_loantaker,logical,Optional input: providing the lei (legal entity identifier) of the direct loan taker to improve the matching coverage
+loanbook_demo,isin_direct_loantaker,logical,Optional input: providing the isin identifier of the direct loan taker to improve the matching coverage

data-raw/loanbook_demo.R

@@ -9,24 +9,18 @@ source(file.path("data-raw", "utils.R"))
 path <- file.path("data-raw", "loanbook_demo.csv")
 loanbook_demo <- readr::read_csv(
   path,
-  col_types = readr::cols(
+  col_types = readr::cols_only(
     id_loan = "c",
     id_direct_loantaker = "c",
     name_direct_loantaker = "c",
-    id_intermediate_parent_1 = "c",
-    name_intermediate_parent_1 = "c",
     id_ultimate_parent = "c",
     name_ultimate_parent = "c",
     loan_size_outstanding = "d",
     loan_size_outstanding_currency = "c",
     loan_size_credit_limit = "d",
     loan_size_credit_limit_currency = "c",
     sector_classification_system = "c",
-    sector_classification_input_type = "c",
-    sector_classification_direct_loantaker = "d",
-    fi_type = "c",
-    flag_project_finance_loan = "c",
-    name_project = "c",
+    sector_classification_direct_loantaker = "c",
     lei_direct_loantaker = "c",
     isin_direct_loantaker = "c"
   )