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An asset-based company dataset for demonstration

Source: R/abcd_demo.R
abcd_demo.Rd

Fake data about physical assets (e.g. wind turbine power plant capacities), aggregated to company-level. These data are used to assess the climate alignment of financial portfolios. It imitates data from market-intelligence databases.

Demo datasets are synthetic because most financial data is strictly private; they help to demonstrate and test the implementation in R of 'PACTA' (https://www.transitionmonitor.com/).

Usage

abcd_demo

Format

An object of class tbl_df (inherits from tbl, data.frame) with 17668 rows and 14 columns.

Definitions

  • abcd_timestamp (character): Date at which asset data was sourced from the data provider., * company_id (character): The id of the company owning the asset created by the data provider., * country_of_domicile (character): Country where company is registered., * emission_factor (double): Company level emission factor of the technology., * emission_factor_unit (character): The units that the emission factor is measured in., * is_ultimate_owner (logical): Flag if company is the ultimate parent in our database., * lei (character): The legal entity identifier of the company owning the asset., * name_company (character): The name of the company owning the asset., * plant_location (character): Country where asset is located., * production (double): Company level production of the technology., * production_unit (character): The units that production is measured in., * sector (character): Sector to which the asset belongs., * technology (character): Technology implemented by the asset., * year (integer): Year at which the production value is predicted.

See also

data_dictionary

Other demo datasets: co2_intensity_scenario_demo, loanbook_demo, overwrite_demo, region_isos_demo, scenario_demo_2020

Examples

head(abcd_demo)
#> # A tibble: 6 × 14
#>   company_id name_c…¹ lei   sector techn…² produ…³  year produ…⁴ emiss…⁵ count…⁶
#>   <chr>      <chr>    <chr> <chr>  <chr>   <chr>   <int>   <dbl>   <dbl> <chr>  
#> 1 1          aba hyd… 8360… power  hydroc… MW       2013 133340.      NA DM     
#> 2 1          aba hyd… 8360… power  hydroc… MW       2014 131582.      NA DM     
#> 3 1          aba hyd… 8360… power  hydroc… MW       2015 129824.      NA DM     
#> 4 1          aba hyd… 8360… power  hydroc… MW       2016 128065.      NA DM     
#> 5 1          aba hyd… 8360… power  hydroc… MW       2017 126307.      NA DM     
#> 6 1          aba hyd… 8360… power  hydroc… MW       2018 124549.      NA DM     
#> # … with 4 more variables: plant_location <chr>, is_ultimate_owner <lgl>,
#> #   abcd_timestamp <chr>, emission_factor_unit <chr>, and abbreviated variable
#> #   names ¹​name_company, ²​technology, ³​production_unit, ⁴​production,
#> #   ⁵​emission_factor, ⁶​country_of_domicile