Calculate the descriptive analysis of co2_footprint per grouping_emission

This function calculates the descriptive analysis of co2_footprint per grouping_emission using product-level output of Emissions profile indicator.

Usage

calculate_co2_descriptive_analysis_per_benchmark(
  emission_product,
  grouping_emission
)

Arguments

emission_product

A dataframe. Product-level output of Emissions profile

grouping_emission

A string. Benchmarks of Emissions profile

Value

A dataframe

Examples

library(dplyr)
#> 
#> Attaching package: ‘dplyr’
#> The following objects are masked from ‘package:stats’:
#> 
#>     filter, lag
#> The following objects are masked from ‘package:base’:
#> 
#>     intersect, setdiff, setequal, union
emission_product_example <- example_emission_product_co2_des_analysis()
emission_product_example
#> # A tibble: 8 × 8
#>   grouping_emission tilt_sector tilt_subsector unit  isic_4digit co2_footprint
#>   <chr>             <chr>       <chr>          <chr> <chr>               <dbl>
#> 1 tilt_subsector    group       chemicals      kg    '5555'                  1
#> 2 tilt_subsector    group       chemicals      kg    '5555'                  4
#> 3 tilt_subsector    group       chemicals      kg    '5555'                  9
#> 4 tilt_subsector    group       chemicals      kg    '5555'                  8
#> 5 tilt_subsector    group       chemicals      kg    '5555'                 NA
#> 6 tilt_subsector    group       iron & steel   m3    '6666'                  1
#> 7 tilt_subsector    group       iron & steel   m3    '6666'                  2
#> 8 tilt_subsector    group       iron & steel   m3    '6666'                  4
#> # ℹ 2 more variables: product <chr>, activity_uuid_product_uuid <chr>

# Calculates the descriptive analysis for grouping_emission "tilt_subsector"
calculate_co2_descriptive_analysis_per_benchmark(
  emission_product_example,
  "tilt_subsector"
)
#> # A tibble: 2 × 7
#>   tilt_sector tilt_subsector `# of distinct products` `min CO2e` `max CO2e`
#>   <chr>       <chr>                             <int>      <dbl>      <dbl>
#> 1 group       chemicals                             5          1          9
#> 2 group       iron & steel                          3          1          4
#> # ℹ 2 more variables: `mean CO2e` <dbl>, `median CO2e` <dbl>