Skip to contents

Dataset to bridge (translate) common sector-classification codes

Source: R/classification_bridge.R
gics_classification.Rd

This dataset serves as a translation key between common sector-classification systems and sectors relevant to the 'PACTA' tool (https://www.transitionmonitor.com/).

Usage

gics_classification

Format

An object of class tbl_df (inherits from tbl, data.frame) with 282 rows and 5 columns.

Definitions

  • borderline (logical): Flag indicating if PACTA sector and classification code are a borderline match. The value TRUE indicates that the match is uncertain between the PACTA sector and the classification. The value FALSE indicates that the match is certainly perfect or the classification is certainly out of PACTA's scope.., * code (character): Original GICS code., * description (character): Original GICS description., * sector (character): Associated PACTA sector., * version (character): Column identifying to which GICS version the code belongs.

Details

Classification datasets help to standardize sector classification codes from the wild to a relevant subset including 'power', 'oil and gas', 'coal', 'automotive', 'aviation', 'concrete', 'steel', and 'shipping'.

See also

data_dictionary.

Other datasets for bridging sector classification codes: isic_classification, nace_classification, naics_classification, psic_classification, sector_classifications, sic_classification

Examples

head(gics_classification)
#> # A tibble: 6 × 5
#>   description                                    code  sector borderline version
#>   <chr>                                          <chr> <chr>  <lgl>      <chr>  
#> 1 Energy                                         10    not i… FALSE      2023   
#> 2 Energy                                         1010  not i… FALSE      2023   
#> 3 Energy Equipment & Services                    1010… not i… FALSE      2023   
#> 4 Drilling contractors or owners of drilling ri… 1010… not i… FALSE      2023   
#> 5 Manufacturers of equipment, including drillin… 1010… not i… FALSE      2023   
#> 6 Oil, Gas & Consumable Fuels                    1010… oil a… FALSE      2023