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Dataset to bridge (translate) common sector-classification codes

Source: R/classification_bridge.R
cnb_classification.Rd

This dataset serves as a translation key between common sector-classification systems and sectors relevant to the 'PACTA' tool (https://2degrees-investing.org/resource/pacta/).

Usage

cnb_classification

Format

An object of class tbl_df (inherits from tbl, data.frame) with 220 rows and 5 columns.

Definitions

  • borderline (logical): Flag indicating if 2dii sector and classification code are a borderline match. The value TRUE indicates that the match is uncertain between the 2dii sector and the classification. The value FALSE indicates that the match is certainly perfect or the classification is certainly out of 2dii's scope..

  • code (character): Formatted CNB code.

  • code_level (double): Level of granularity of CNB code.

  • original_code (character): Original CNB sector name.

  • sector (character): Associated 2dii sector.

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: gics_classification, isic_classification, nace_classification, naics_classification, psic_classification, sector_classifications, sic_classification

Examples

head(cnb_classification)
#> # A tibble: 6 × 5
#>   original_code                               code_level code  sector borderline
#>   <chr>                                            <dbl> <chr> <chr>  <lgl>     
#> 1 ADMINISTRATIVE AND SUPPORT SERVICE ACTIVIT…          1 100   not i… FALSE     
#> 2 ADMINISTRATIVE AND SUPPORT SERVICE ACTIVIT…          1 100   not i… FALSE     
#> 3 ADMINISTRATIVE AND SUPPORT SERVICE ACTIVIT…          1 100   not i… FALSE     
#> 4 ADMINISTRATIVE AND SUPPORT SERVICE ACTIVIT…          1 100   not i… FALSE     
#> 5 ADMINISTRATIVE AND SUPPORT SERVICE ACTIVIT…          1 100   not i… FALSE     
#> 6 AGRICULTURE                                          1 200   not i… FALSE