Fake data about physical assets (e.g. wind turbine power plant capacities) 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://2degrees-investing.org/resource/pacta/).
ald_demoAn object of class tbl_df (inherits from tbl, data.frame) with 17368 rows and 13 columns.
ald_emission_factor_unit (character): The units that the emission factor is measured in.
ald_timestamp (character): Date at which asset data was sourced from the data provider.
country_of_domicile (character): Country where company is registered.
emission_factor (double): Company level emission factor of the technology.
is_ultimate_listed_owner (logical): Flag if company is the listed ultimate parent.
is_ultimate_owner (logical): Flag if company is the ultimate parent in our database.
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.
Other demo datasets:
co2_intensity_scenario_demo,
loanbook_demo,
overwrite_demo,
region_isos_demo,
scenario_demo_2020
# NOT RUN {
head(ald_demo)
# }
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