abcd_demo: An asset-based company dataset for demonstration

In r2dii.data: Datasets to Measure the Alignment of Corporate Loan Books with Climate Goals

An asset-based company dataset for demonstration

Description

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 4972 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)

r2dii.data documentation built on Nov. 14, 2023, 1:09 a.m.