Learn R Programming

⚠️There's a newer version (0.6.0) of this package.Take me there.

r2dii.data

These datasets support the implementation in R of the software PACTA (Paris Agreement Capital Transition Assessment), which is a free tool that calculates the alignment between financial assets and climate scenarios (https://2degrees-investing.org/). Financial institutions use PACTA to study how their capital allocation impacts the climate. Because both financial institutions and market data providers keep their data private, this package provides fake, public data to enable the development and use of PACTA in R.

Installation

Before you install r2dii.analysis you may want to:

When you are ready, install the released version of r2dii.data from CRAN with:

install.packages("r2dii.data")

Or install the development version of r2dii.data with something like this:

# install.packages("devtools")
devtools::install_github("2DegreesInvesting/r2dii.data")

How to raise an issue?

Example

library(r2dii.data)

head(data_dictionary)
#>    dataset               column    typeof
#> 1 ald_demo        ald_timestamp character
#> 2 ald_demo           company_id character
#> 3 ald_demo  country_of_domicile character
#> 4 ald_demo      emission_factor    double
#> 5 ald_demo emission_factor_unit character
#> 6 ald_demo    is_ultimate_owner   logical
#>                                                            definition
#> 1         Date at which asset data was sourced from the data provider
#> 2 The id of the company owning the asset created by the data provider
#> 3                                 Country where company is registered
#> 4                     Company level emission factor of the technology
#> 5                   The units that the emission factor is measured in
#> 6              Flag if company is the ultimate parent in our database

Funding

This project has received funding from the European Union LIFE program and the International Climate Initiative (IKI). The Federal Ministry for the Environment, Nature Conservation and Nuclear Safety (BMU) supports this initiative on the basis of a decision adopted by the German Bundestag. The views expressed are the sole responsibility of the authors and do not necessarily reflect the views of the funders. The funders are not responsible for any use that may be made of the information it contains.

Copy Link

Version

Install

install.packages('r2dii.data')

Monthly Downloads

602

Version

0.2.0

License

CC0

Issues

Pull Requests

Stars

Forks

Maintainer

Mauro Lepore

Last Published

June 29th, 2021

Functions in r2dii.data (0.2.0)

nace_classification

Dataset to bridge (translate) common sector-classification codes
loanbook_demo

A loanbook dataset for demonstration
data_dictionary

Column definitions of all datasets
gics_classification

Dataset to bridge (translate) common sector-classification codes
ald_demo

An asset level dataset for demonstration
green_or_brown

Determine if a technology is green or brown
psic_classification

Dataset to bridge (translate) common sector-classification codes
co2_intensity_scenario_demo

A prepared co2 intensity climate scenario dataset for demonstration
isic_classification

Dataset to bridge (translate) common sector-classification codes
iso_codes

Countries and codes
scenario_demo_2020

A prepared climate scenario dataset for demonstration
cnb_classification

Dataset to bridge (translate) common sector-classification codes
sic_classification

Dataset to bridge (translate) common sector-classification codes
naics_classification

Dataset to bridge (translate) common sector-classification codes
region_isos

A dataset outlining various region definitions
overwrite_demo

A demonstration dataset used to overwrite specific entity names or sectors
r2dii.data-package

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

A view of available sector classification datasets
region_isos_demo

A dataset outlining various region definitions