Renamed functions and datasets

Conceptual changes:

• PCTR becomes Emissions Profile.

• ICTR becomes Emissions Profile Upstream.

• PSTR becomes Sector Profile.

• ISTR becomes Sector Profile Upstream.

Motivation:

• The names are more informative and easier to remember.

• All indicators now share only one common word (profile) instead of two (transition risk).

• The word "upstream" is more familiar for users in banks than "inputs".

• The word "emissions" replaces "carbon" because the data that we use actually take into account CO2 equivalents, i.e. all green house gasses.

• Compared to the phrase "transition risk", the word "profile" better reflects that the indicators cannot only be used for risk assessment but also for other things, such as broader sustainability assessment, engagement, reporting, etc.

Implementation changes:

• v0.0.0.9084: pstr() -> sector_profile()

• v0.0.0.9085: istr() -> sector_profile_upstream()

• v0.0.0.9086: xctr(companies, products) -> emissions_profile()

• v0.0.0.9087: xctr(companies, inputs) -> emissions_profile_upstream()

• v0.0.0.9089: All datasets names match the functions above and moved to tiltToyData

• v0.0.0.9092: xstr_pivot_type_sector_subsector() -> sector_profile_any_pivot_type_sector_subsector()

• v0.0.0.9092: xstr_prepare_scenario() -> sector_profile_any_prepare_scenario()

• v0.0.0.9092: xstr_prune_companies() -> sector_profile_any_prune_companies()

• v0.0.0.9092: xstr_polish_output_at_company_level() -> sector_profile_any_polish_output_at_company_level()

Usage

pstr(
  companies,
  scenarios,
  low_threshold = ifelse(scenarios$year == 2030, 1/9, 1/3),
  high_threshold = ifelse(scenarios$year == 2030, 2/9, 2/3)
)

istr(
  companies,
  scenarios,
  inputs,
  low_threshold = ifelse(scenarios$year == 2030, 1/9, 1/3),
  high_threshold = ifelse(scenarios$year == 2030, 2/9, 2/3)
)

xctr(companies, co2, low_threshold = 1/3, high_threshold = 2/3)