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  "Package": "pacta.executive.summary",
  "Title": "Creates Plots for the PACTA COP Executive Summary",
  "Version": "0.1.1.9002",
  "Authors@R": "person(given = \"Monika\",\nfamily = \"Furdyna\",\nrole = c(\"aut\", \"ctr\", \"cre\"),\nemail = \"monika.furdyna@gmail.com\",\ncomment = c(ORCID = \"0000-0002-3728-0646\"))",
  "Description": "This package contains plotting functions and a template\nfor generating the executive summary that displays aggregated\nresults of a PACTA COP exercise.",
  "License": "MIT + file LICENSE",
  "Encoding": "UTF-8",
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  "URL": "https://rmi-pacta.github.io/pacta.executive.summary,\nhttps://github.com/RMI-PACTA/pacta.executive.summary",
  "Config/pak/sysreqs": "cmake make libicu-dev libpng-dev libuv1-dev",
  "Repository": "https://rmi-pacta.r-universe.dev",
  "Date/Publication": "2026-03-24 16:14:32 UTC",
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  "Author": "Monika Furdyna [aut, ctr, cre] (ORCID:\n<https://orcid.org/0000-0002-3728-0646>)",
  "Maintainer": "Monika Furdyna <monika.furdyna@gmail.com>",
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  "_created": "2026-10-20T07:40:58.000Z",
  "_published": "2026-10-20T07:44:44.434Z",
  "_upstream": "https://github.com/rmi-pacta/pacta.executive.summary",
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  "_maintainer": {
    "name": "Monika Furdyna",
    "email": "monika.furdyna@gmail.com",
    "login": "monikafu",
    "description": "Data analysis and visualisation specialist working in sustainability and finance, with a background in mathematics and quantitative Finance.",
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    "sustainable-finance"
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  "_exports": [
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    "blank_pdf",
    "plot_alignment_table",
    "plot_diagram",
    "plot_emissions_scorecard",
    "plot_exposures_scorecard",
    "plot_exposures_survey",
    "plot_fossil_bars",
    "plot_green_brown_bars",
    "plot_scatter",
    "plot_scores",
    "plot_scores_scorecard",
    "prep_alignment_table",
    "prep_climate_strategy_scorecard_voting",
    "prep_data_executive_summary",
    "prep_diagram",
    "prep_emissions_scorecard",
    "prep_exposures_scorecard",
    "prep_exposures_survey",
    "prep_fossil_bars",
    "prep_green_brown_bars",
    "prep_net_zero_commitments",
    "prep_scatter",
    "prep_scores",
    "prep_scores_emissions_scorecard",
    "prep_scores_exposure_scorecard",
    "prep_scores_scorecard",
    "rasterGrob",
    "readPNG",
    "render_executive_summary"
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      "name": "alignment_scores_values",
      "title": "Help dataset for plotting alignment scores on an axis",
      "object": "alignment_scores_values",
      "class": [
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        "score_upper",
        "score_symbol",
        "category",
        "score_delta",
        "score_label"
      ],
      "rows": 6,
      "table": true,
      "tojson": true
    },
    {
      "name": "p4i_p4b_sector_technology_mapper",
      "title": "Sector and technology names mapped from P4I to P4B style",
      "object": "p4i_p4b_sector_technology_mapper",
      "class": [
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        "sector_p4b",
        "technology_p4b",
        "sector_p4i",
        "technology_p4i"
      ],
      "rows": 28,
      "table": true,
      "tojson": true
    },
    {
      "name": "remaining_carbon_budgets",
      "title": "Sector level carbon budgets for scenarios",
      "object": "remaining_carbon_budgets",
      "class": [
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        "scenario_source",
        "unit",
        "remaining_carbon_budget",
        "weighting_factor",
        "ald_sector"
      ],
      "rows": 8,
      "table": true,
      "tojson": true
    },
    {
      "name": "scenario_thresholds",
      "title": "Scenario names mapped to temperature thresholds",
      "object": "scenario_thresholds",
      "class": [
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        "scenario_source",
        "scenario",
        "threshold"
      ],
      "rows": 9,
      "table": true,
      "tojson": true
    },
    {
      "name": "scores_real_estate",
      "title": "Help dataset for plotting real estate scores",
      "object": "scores_real_estate",
      "class": [
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        "score_upper",
        "score_symbol",
        "category",
        "score_delta",
        "score_label"
      ],
      "rows": 7,
      "table": true,
      "tojson": true
    },
    {
      "name": "toy_data_alignment_table",
      "title": "An example output data of 'prep_alignment_table()'",
      "object": "toy_data_alignment_table",
      "class": [
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        "sector",
        "technology",
        "asset_class",
        "entity",
        "aligned_scen_temp",
        "perc_aum",
        "green_brown"
      ],
      "rows": 40,
      "table": true,
      "tojson": true
    },
    {
      "name": "toy_data_diagram",
      "title": "An example output data of 'prep_diagram()'",
      "object": "toy_data_diagram",
      "class": [
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        "exposure_portfolio",
        "asset_class",
        "exposure_asset_class",
        "exposure_asset_class_perc",
        "exposure_pacta",
        "exposure_pacta_perc_asset_class_exposure",
        "emissions_pacta_perc",
        "emissions_pacta"
      ],
      "rows": 2,
      "table": true,
      "tojson": true
    },
    {
      "name": "toy_data_emissions_scorecard",
      "title": "An example output data of 'prep_emissions_scorecard()'",
      "object": "toy_data_emissions_scorecard",
      "class": [
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        "asset_class",
        "entity",
        "emissions"
      ],
      "rows": 4,
      "table": true,
      "tojson": true
    },
    {
      "name": "toy_data_exposures_scorecard",
      "title": "An example output data of 'prep_exposures_scorecard()'",
      "object": "toy_data_exposures_scorecard",
      "class": [
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        "asset_class",
        "sector_or_tech",
        "exposure_perc_aum"
      ],
      "rows": 8,
      "table": true,
      "tojson": true
    },
    {
      "name": "toy_data_exposures_survey",
      "title": "An example output data of 'prep_exposures_survey()'",
      "object": "toy_data_exposures_survey",
      "class": [
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        "asset_class",
        "entity",
        "technology",
        "exposure_perc_aum"
      ],
      "rows": 12,
      "table": true,
      "tojson": true
    },
    {
      "name": "toy_data_fossil_bars",
      "title": "An example output data of 'prep_fossil_bars()'",
      "object": "toy_data_fossil_bars",
      "class": [
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        "entity",
        "entity_name",
        "entity_type",
        "year",
        "tech",
        "perc_aum",
        "asset_class"
      ],
      "rows": 18,
      "table": true,
      "tojson": true
    },
    {
      "name": "toy_data_green_brown_bars",
      "title": "An example output data of 'prep_green_brown_bars()'",
      "object": "toy_data_green_brown_bars",
      "class": [
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        "asset_class",
        "year",
        "tech_type",
        "sector",
        "perc_tech_exposure",
        "perc_sec_exposure"
      ],
      "rows": 18,
      "table": true,
      "tojson": true
    },
    {
      "name": "toy_data_scatter",
      "title": "An example output data of 'prep_scatter()'",
      "object": "toy_data_scatter",
      "class": [
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        "asset_class",
        "year",
        "tech_mix_green",
        "score",
        "entity_name",
        "entity_type"
      ],
      "rows": 14,
      "table": true,
      "tojson": true
    },
    {
      "name": "toy_data_scores",
      "title": "An example output data of 'prep_scores()'",
      "object": "toy_data_scores",
      "class": [
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        "asset_class",
        "scope",
        "entity",
        "sector",
        "score"
      ],
      "rows": 28,
      "table": true,
      "tojson": true
    },
    {
      "name": "toy_data_scores_scorecard_re",
      "title": "An example input data to 'plot_scores_scorecard_real_estate()'",
      "object": "toy_data_scores_scorecard_re",
      "class": [
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        "asset_class",
        "score"
      ],
      "rows": 2,
      "table": true,
      "tojson": true
    }
  ],
  "_help": [
    {
      "page": "blank_pdf",
      "title": "Get the path to the blank template PDF",
      "topics": [
        "blank_pdf"
      ]
    },
    {
      "page": "lookup",
      "title": "Lookup valid values",
      "topics": [
        "lookup",
        "time_horizon_lookup"
      ]
    },
    {
      "page": "p4i_p4b_sector_technology_mapper",
      "title": "Sector and technology names mapped from P4I to P4B style",
      "topics": [
        "p4i_p4b_sector_technology_mapper"
      ]
    },
    {
      "page": "plot_alignment_table",
      "title": "Create a scenario alignment table",
      "topics": [
        "plot_alignment_table"
      ]
    },
    {
      "page": "plot_diagram",
      "title": "Create a diagram of asset class coverage",
      "topics": [
        "plot_diagram"
      ]
    },
    {
      "page": "plot_emissions_scorecard",
      "title": "Create a plot showing scorecard emissions",
      "topics": [
        "plot_emissions_scorecard"
      ]
    },
    {
      "page": "plot_exposures_scorecard",
      "title": "Create a plot showing exposure to sectors relevant to scorecard",
      "topics": [
        "plot_exposures_scorecard"
      ]
    },
    {
      "page": "plot_exposures_survey",
      "title": "Create a bar plot showing exposure to a sector",
      "topics": [
        "plot_exposures_survey"
      ]
    },
    {
      "page": "plot_fossil_bars",
      "title": "Create a bar plot with exposures to fossil fuels",
      "topics": [
        "plot_fossil_bars"
      ]
    },
    {
      "page": "plot_green_brown_bars",
      "title": "Create a bar plot with exposures to low and high carbon technologies",
      "topics": [
        "plot_green_brown_bars"
      ]
    },
    {
      "page": "plot_scatter",
      "title": "Create a scatter plot of exposure to low-carbon technology vs. alignment score",
      "topics": [
        "plot_scatter"
      ]
    },
    {
      "page": "plot_scores",
      "title": "Create a plot showing aggregated scores for portfolio and peers",
      "topics": [
        "plot_scores"
      ]
    },
    {
      "page": "plot_scores_scorecard",
      "title": "Create a plot showing aggregated score in scorecard",
      "topics": [
        "plot_scores_scorecard"
      ]
    },
    {
      "page": "prep_alignment_table",
      "title": "Prepare data input for plotting technology alignment table",
      "topics": [
        "prep_alignment_table"
      ]
    },
    {
      "page": "prep_climate_strategy_scorecard_engagement",
      "title": "Prepare data input for climate strategy metrics (engagement) in the scorecard",
      "topics": [
        "prep_climate_strategy_scorecard_engagement"
      ]
    },
    {
      "page": "prep_climate_strategy_scorecard_initiatives",
      "title": "Prepare data input for climate strategy metrics (initiatives) in the scorecard",
      "topics": [
        "prep_climate_strategy_scorecard_initiatives"
      ]
    },
    {
      "page": "prep_climate_strategy_scorecard_voting",
      "title": "Prepare data input for climate strategy metrics (voting rights) in the scorecard",
      "topics": [
        "prep_climate_strategy_scorecard_voting"
      ]
    },
    {
      "page": "prep_data_executive_summary",
      "title": "Prepares data inputs needed for rendering the executive summary",
      "topics": [
        "prep_data_executive_summary"
      ]
    },
    {
      "page": "prep_diagram",
      "title": "Title",
      "topics": [
        "prep_diagram"
      ]
    },
    {
      "page": "prep_emissions_scorecard",
      "title": "Title",
      "topics": [
        "prep_emissions_scorecard"
      ]
    },
    {
      "page": "prep_exposures_scorecard",
      "title": "Prepare data input for plotting exposure chart on the climate score card",
      "topics": [
        "prep_exposures_scorecard"
      ]
    },
    {
      "page": "prep_exposures_survey",
      "title": "Prepare data input for plotting exposure to fossil fuels in survey section",
      "topics": [
        "prep_exposures_survey"
      ]
    },
    {
      "page": "prep_fossil_bars",
      "title": "Prepare data input for plotting upstream fossil fuel exposure",
      "topics": [
        "prep_fossil_bars"
      ]
    },
    {
      "page": "prep_green_brown_bars",
      "title": "Prepare data input for plotting green brown bar chart",
      "topics": [
        "prep_green_brown_bars"
      ]
    },
    {
      "page": "prep_net_zero_commitments",
      "title": "Prepare data input for share of net zero committed companies in scorecard",
      "topics": [
        "prep_net_zero_commitments"
      ]
    },
    {
      "page": "prep_scatter",
      "title": "Title",
      "topics": [
        "prep_scatter"
      ]
    },
    {
      "page": "prep_scores",
      "title": "Prepare data input for plotting aggregate climate scores",
      "topics": [
        "prep_scores"
      ]
    },
    {
      "page": "prep_scores_emissions_scorecard",
      "title": "Prepare share of portfolio emissions covered by aggregate score analysis",
      "topics": [
        "prep_scores_emissions_scorecard"
      ]
    },
    {
      "page": "prep_scores_exposure_scorecard",
      "title": "Prepare share of portfolio emissions covered by aggregate score analysis",
      "topics": [
        "prep_scores_exposure_scorecard"
      ]
    },
    {
      "page": "prep_scores_scorecard",
      "title": "Prepare data input for plotting aggregate climate scores in the scorecard section",
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