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/).
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
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 ¹name_company, ²technology, ³production_unit, ⁴production,
#> # ⁵emission_factor, ⁶country_of_domicile