# PACTA Outputs

## match_name() output

The output of `match_name()` has the following columns:

## prioritize() output

The output of `prioritize()` has the following columns:

## target_market_share() output

The output of `target_market_share()` has the following columns:

The `{pacta.loanbook}` package provides a demo `target_market_share()` output dataset `market_share_demo`.

    market_share_demo
    #> # A tibble: 802 × 10
    #>    sector     technology  year region scenario_source metric     production technology_share scope  percentage_of_initial_production_by_scope
    #>    <chr>      <chr>      <int> <chr>  <chr>           <chr>           <dbl>            <dbl> <chr>                                      <dbl>
    #>  1 automotive electric    2020 global demo_2020       projected     324592.           0.0759 sector                                   0
    #>  2 automotive electric    2020 global demo_2020       target_cps    324592.           0.0759 sector                                   0
    #>  3 automotive electric    2020 global demo_2020       target_sds    324592.           0.0759 sector                                   0
    #>  4 automotive electric    2020 global demo_2020       target_sps    324592.           0.0759 sector                                   0
    #>  5 automotive electric    2021 global demo_2020       projected     339656.           0.0786 sector                                   0.00352
    #>  6 automotive electric    2021 global demo_2020       target_cps    329191.           0.0744 sector                                   0.00108
    #>  7 automotive electric    2021 global demo_2020       target_sds    352505.           0.0809 sector                                   0.00653
    #>  8 automotive electric    2021 global demo_2020       target_sps    330435.           0.0747 sector                                   0.00137
    #>  9 automotive electric    2022 global demo_2020       projected     354720.           0.0813 sector                                   0.00705
    #> 10 automotive electric    2022 global demo_2020       target_cps    333693.           0.0730 sector                                   0.00213
    #> # ℹ 792 more rows

## target_sda() output

The output of `target_sda()` has the following columns:

The `{pacta.loanbook}` package provides a demo `target_sda()` output dataset `sda_demo`.

    sda_demo
    #> # A tibble: 110 × 6
    #>    sector  year region             scenario_source emission_factor_metric emission_factor_value
    #>    <chr>  <dbl> <chr>              <chr>           <chr>                                  <dbl>
    #>  1 cement  2020 advanced economies demo_2020       projected                             0.0230
    #>  2 cement  2020 developing asia    demo_2020       projected                             0.0595
    #>  3 cement  2020 global             demo_2020       projected                             0.664
    #>  4 cement  2021 advanced economies demo_2020       projected                             0.0232
    #>  5 cement  2021 developing asia    demo_2020       projected                             0.0594
    #>  6 cement  2021 global             demo_2020       projected                             0.665
    #>  7 cement  2022 advanced economies demo_2020       projected                             0.0233
    #>  8 cement  2022 developing asia    demo_2020       projected                             0.0592
    #>  9 cement  2022 global             demo_2020       projected                             0.666
    #> 10 cement  2023 advanced economies demo_2020       projected                             0.0235
    #> # ℹ 100 more rows

## prep_techmix() output

The output of `prep_techmix()` has the following columns:

## prep_emission_intensity() output

The output of `prep_emission_intensity()` has the following columns:

## prep_trajectory() output

The output of `prep_trajectory()` has the following columns: