ECHO_GHG.ipynb

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        "| ![EEW logo](https://github.com/edgi-govdata-archiving/EEW-Image-Assets/blob/master/Jupyter%20instructions/eew.jpg?raw=true) | ![EDGI logo](https://github.com/edgi-govdata-archiving/EEW-Image-Assets/blob/master/Jupyter%20instructions/edgi.png?raw=true) |\n",
        "|---|---|\n",
        "\n",
        "#### This Jupyter Notebook is licensed under GPL 3.0. Please visit our Github organization for more information:  https://github.com/edgi-govdata-archiving/\n",
        "#### The notebook was collaboratively authored by the Environmental Data & Governance Initiative (EDGI) following our authorship protocol: https://docs.google.com/document/d/1CtDN5ZZ4Zv70fHiBTmWkDJ9mswEipX6eCYrwicP66Xw/\n",
        "#### For more information about this project, visit https://www.environmentalenforcementwatch.org/"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "xwpXPiNLbt2x"
      },
      "source": [
        "## How to Run this Notebook\n",
        "* If you click on a gray **code** cell, a little “play button” arrow appears on the left. If you click the play button, it will run the code in that cell (“**running** a cell”). The button will animate. When the animation stops, the cell has finished running.\n",
        "![Where to click to run the cell](https://github.com/edgi-govdata-archiving/EEW-Image-Assets/blob/master/Jupyter%20instructions/pressplay.JPG?raw=true)\n",
        "* You may get a warning that the notebook was not authored by Google. We know, we authored them! It’s okay. Click “Run Anyway” to continue.\n",
        "![Error Message](https://github.com/edgi-govdata-archiving/EEW-Image-Assets/blob/master/Jupyter%20instructions/warning-message.JPG?raw=true)\n",
        "* Run all of the cells in a Notebook to make a complete report. Please feel free to look at and **learn about each result as you create it**!\n",
        "\n",
        "---"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "vU4AqThS-37L"
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      "source": [
        "# Who's responsible for greenhouse gas emissions?\n",
        "Under the US Environmental Protection Agency's Greenhouse Gas Reporting Program (GHGRP), a variety of emitters are required to count and report their emissions anually.\n",
        "\n",
        "Conceptually this is similar to reporting pollutant discharages under the Clean Water Act's National Pollutant Discharge Elimination System (NPDES), but whereas NPDES has legal teeth - facilities are permitted to release only so much of a pollutant into the water - there is no such equivalent legislation for greenhouse gases (GHGs).\n",
        "\n",
        "Facilities reporting GHGs are also required to report information about ownership - the share a parent company has in the facility. Through this information we can determine not just which specific facilities reported the most GHGs every year, but which companies can be said to be the most responsible in terms of their ownership of these facilities.\n",
        "\n",
        "The GHGRP does not attempt to account for all of the US's GHG emissions; the [GHG Inventory](https://www.epa.gov/ghgemissions/inventory-us-greenhouse-gas-emissions-and-sinks) does that. But GHGRP focuses on industrial direct emitters and some suppliers above certain thresholds. As EPA notes, \"The GHGRP does not represent total U.S. GHG emissions, but provides facility level data for large sources of direct emissions, thus representing the majority of U.S. GHG emissions. The GHGRP data collected from direct emitters represent about half of all U.S. emissions.\" Including estimates from suppliers of fossil fuels, the GHGRP dataset [can account for](https://www.epa.gov/ghgreporting/learn-about-greenhouse-gas-reporting-program-ghgrp) up to 90% of all US emissions.\n",
        "\n",
        "As EPA [notes](https://ccdsupport.com/confluence/pages/viewpage.action?pageId=98598976), \"Data from direct emitters and suppliers cannot be viewed together because it would cause double counting of emissions in many sectors.  In general, it is more accurate to look at upstream (also called suppliers) data separately from downstream (also called direct emitters) data.\" EPA [elaborates](https://ccdsupport.com/confluence/pages/viewpage.action?pageId=98598975) on the differences between direct emitters and suppliers:\n",
        "\n",
        "> \"Direct emitters\" are facilities that combust fuels or otherwise put GHGs into the atmosphere directly from their facility.  An example of this is a power plant that burns coal or natural gas and emits carbon dioxide directly into the atmosphere....\"Suppliers\" are those entities that supply products into the economy which if combusted, released or oxidized emit greenhouse gases into the atmosphere.  These fuels and industrial gases are not emitted from the supplier facility but instead distributed throughout the country and used.  An example of this is gasoline, which is sold in the U.S. and primarily burned in cars throughout the country.\"\n",
        "\n",
        "This notebook uses self-reported data from both emitters and suppliers to estimate GHG emissions by parent company. For further information about how the EPA's GHGRP works, please see our PowerPoint slides [here](https://docs.google.com/presentation/d/1EVtWOFDEeaqZhg1FTf0IsEL3M736hITP5G76q9l6bP0/edit?usp=sharing) or the EPA's website [here](https://www.epa.gov/ghgreporting). For a full FAQ, see EPA's [helpdesk](https://ccdsupport.com/confluence/display/faq/GHG+Data+and+Publication)."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "czia5t5ebt20"
      },
      "source": [
        "# Setup\n",
        "Here we load some helper code to get us going. Run the following cell of code. When it says \"Done!\" proceed to the next step."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "vF3iTaeCbt23",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "9f1a26a0-3898-4b3a-9218-d0b89c790ed3"
      },
      "source": [
        "# Import code libraries\n",
        "import pandas as pd\n",
        "import requests, zipfile, io\n",
        "import geopandas\n",
        "from IPython.core.display import HTML\n",
        "import ipywidgets as widgets\n",
        "!pip install pyxlsb &>/dev/null;\n",
        "import pyxlsb\n",
        "!pip install ECHO_modules &>/dev/null;\n",
        "\n",
        "import warnings\n",
        "warnings.filterwarnings('ignore')\n",
        "\n",
        "print(\"Done!\")"
      ],
      "execution_count": 1,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Done!\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "su7_wvKWbt3Z"
      },
      "source": [
        "# Getting emissions data\n",
        "\n",
        "Pick which year you want to focus on. Run the cell of code, choose a year from the dropdown menu, and then proceed to the next step."
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "years = [\"2016\", \"2017\", \"2018\", \"2019\", \"2020\", \"2021\", \"2022\", \"2023\"]\n",
        "\n",
        "years_dropdown = widgets.Dropdown(\n",
        "  options = years,\n",
        "  value = '2023',\n",
        "  description='Year:',\n",
        "  disabled=False\n",
        ")\n",
        "\n",
        "display(years_dropdown)"
      ],
      "metadata": {
        "id": "8FNHPGq6WcSO",
        "outputId": "37e7ade3-6852-4997-bea0-a38cb6a79470",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 49,
          "referenced_widgets": [
            "9d9d2594623e4b068f0507afd725ea51",
            "82ffc2ef398c419baaa3ba60ba47ebd1",
            "e26ea61f8fcb487a8e1f94875c85b9b8"
          ]
        }
      },
      "execution_count": 2,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "Dropdown(description='Year:', index=7, options=('2016', '2017', '2018', '2019', '2020', '2021', '2022', '2023'…"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "9d9d2594623e4b068f0507afd725ea51"
            }
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "We will \"download\" EPA's emissions data for that year into this notebook."
      ],
      "metadata": {
        "id": "DtRGaxGLWccP"
      }
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "el9mEBe3HNQz",
        "outputId": "9ecc0bb8-020a-4792-ddea-fb7a4d70493f"
      },
      "source": [
        "# First we request EPA's datafile and unzip it.\n",
        "url = \"https://www.epa.gov/system/files/other-files/2024-10/2023_data_summary_spreadsheets.zip\"\n",
        "headers = {\n",
        "    'User-Agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/104.0.5112.79 Safari/537.36', # Pretend we are a normal browser\n",
        "    'From': 'enost@uoguelph.ca'\n",
        "}\n",
        "r = requests.get(url, headers=headers)\n",
        "z = zipfile.ZipFile(io.BytesIO(r.content))\n",
        "z.extractall(\"/content\")\n",
        "\n",
        "# We will load in the sheets in the unzipped XLSX file that contain various kinds of direct emissions, from individual facilities and sectors/activities\n",
        "year = years_dropdown.value\n",
        "ghg_fac = pd.read_excel(\"/content/ghgp_data_\"+year+\".xlsx\",\n",
        "  skiprows = 1, # skip the first two rows, which are irrelevant\n",
        "  header = 2, # the third row represents the header\n",
        "  converters={'Primary NAICS Code':str}, # read the NAICS codes as strings\n",
        "  sheet_name = [\"Direct Point Emitters\", \"Onshore Oil & Gas Prod.\", \"Gathering & Boosting\",\n",
        "    \"Transmission Pipelines\", \"LDC - Direct Emissions\", \"SF6 from Elec. Equip.\", \"Suppliers\"])\n",
        "\n",
        "# We will also load in a file that tells us about the type of industry each facility is classified as\n",
        "# Note that we use 2022 codes, which may lead to some anachronisms\n",
        "naics = pd.read_excel(\"https://www.census.gov/naics/2022NAICS/6-digit_2022_Codes.xlsx\",\n",
        "  header = 0, # the row that represents the header\n",
        "  converters={'2022 NAICS Code':str,'2022 NAICS Title':str}\n",
        ")\n",
        "naics=naics[[\"2022 NAICS Code\", \"2022 NAICS Title\"]]\n",
        "\n",
        "print(\"Data loaded!\")"
      ],
      "execution_count": 5,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Data loaded!\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "WDMSJPnuZRNY"
      },
      "source": [
        "The emissions data are presented in several different sections of EPA's spreadsheet, so here we compile them all together.\n",
        "\n",
        "Emissions are measured in metric tons of CO2 equivalent, or tCO2e (see: https://www.theguardian.com/environment/2011/apr/27/co2e-global-warming-potential)\n",
        "\n",
        "As output, we'll show the top 10 direct emitters and the top 10 suppliers."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 804
        },
        "id": "xA2uUdqeTiLh",
        "outputId": "532517af-bb50-41f9-e9f1-89ad35592e9b"
      },
      "source": [
        "# First, handle suppliers separately\n",
        "# Treat NaNs as zeros (not reported, maybe not emitted)\n",
        "# Skip \"confidential\" values :(\n",
        "ghg_fac[\"Suppliers\"][\"Emissions (tCO2e)\"] = pd.to_numeric(ghg_fac[\"Suppliers\"][\"GHG Quantity Associated with Coal-based liquid fuel production\"], errors='coerce').fillna(0) + \\\n",
        "  pd.to_numeric(ghg_fac[\"Suppliers\"][\"GHG Quantity Associated with Petroleum Products Produced\"], errors='coerce').fillna(0) + \\\n",
        "  pd.to_numeric(ghg_fac[\"Suppliers\"][\"GHG Quantity Associated with Petroleum Products Imported\"], errors='coerce').fillna(0) + \\\n",
        "  pd.to_numeric(ghg_fac[\"Suppliers\"][\"GHG Quantity Associated with Petroleum Products Exported\"], errors='coerce').fillna(0) + \\\n",
        "  pd.to_numeric(ghg_fac[\"Suppliers\"][\"GHG Quantity Associated with Natural Gas Supply\"], errors='coerce').fillna(0) + \\\n",
        "  pd.to_numeric(ghg_fac[\"Suppliers\"][\"GHG Quantity Associated with Natural Gas Liquids Supply\"], errors='coerce').fillna(0) + \\\n",
        "  pd.to_numeric(ghg_fac[\"Suppliers\"][\"GHG Quantity Associated with CO2 Supply \"], errors='coerce').fillna(0)\n",
        "\n",
        "emissions_field_names = {\n",
        "    \"Direct Point Emitters\": \"Total reported direct emissions\",\n",
        "    \"Onshore Oil & Gas Prod.\": \"Total reported emissions from Onshore Oil & Gas Production \",\n",
        "    \"Gathering & Boosting\": \"Total reported emissions from Gathering & Boosting\",\n",
        "    \"Transmission Pipelines\": \"Total reported direct emissions from Transmission Pipelines\",\n",
        "    \"LDC - Direct Emissions\": \"Total reported direct emissions from Local Distribution Companies\",\n",
        "    \"SF6 from Elec. Equip.\": \"Total reported direct emissions from Electrical Equipment Use\"\n",
        "}\n",
        "\n",
        "# Create a new DataFrame to store emissions data compiled from direct emitters\n",
        "fac_directemitters_data = pd.DataFrame([], columns=[\"Facility\", \"Name\", \"Primary NAICS Code\", \"Emissions (tCO2e)\"])\n",
        "# Do the same for suppliers\n",
        "fac_suppliers_data = pd.DataFrame(ghg_fac[\"Suppliers\"])\n",
        "\n",
        "#Compile emissions data across direct emitters.\n",
        "for key in emissions_field_names.keys():\n",
        "  dump = ghg_fac[key]\n",
        "  dump = dump[[\"Facility Id\", \"Facility Name\", \"Primary NAICS Code\", emissions_field_names[key]]]\n",
        "  dump = dump.rename(columns={\"Facility Id\": \"Facility\", \"Facility Name\": \"Name\", \"Primary NAICS Code\": \"2022 NAICS Code\", emissions_field_names[key]:\"Emissions (tCO2e)\"})\n",
        "  dump[\"Emissions (tCO2e)\"] = pd.to_numeric(dump[\"Emissions (tCO2e)\"])\n",
        "  fac_directemitters_data= pd.concat([fac_directemitters_data,dump])\n",
        "\n",
        "# Roll up duplicate facility IDs (facilities with e.g. both direct emissions and onshore oil...)\n",
        "fac_directemitters_data = fac_directemitters_data.groupby(by=[\"Facility\", \"Name\", \"2022 NAICS Code\"]).sum().reset_index() #For presentation purposes, we'll add in the facility name\n",
        "#fac_directemitters_data = fac_directemitters_data.groupby(by=[\"Facility\"]).sum() # For analysis purposes, we'll leave the name off...it'll get added back in when we add it to the parent company table\n",
        "fac_suppliers_data=fac_suppliers_data.rename(columns={\"Facility Id\": \"Facility\", \"Facility Name\": \"Name\", \"Primary NAICS Code\": \"2022 NAICS Code\"})\n",
        "fac_suppliers_data = fac_suppliers_data[[\"Facility\", \"Name\", \"2022 NAICS Code\", \"Emissions (tCO2e)\"]]\n",
        "fac_directemitters_data['2022 NAICS Code']=fac_directemitters_data['2022 NAICS Code'].astype(str)\n",
        "\n",
        "# Look up industry information\n",
        "fac_directemitters_data = fac_directemitters_data.merge(naics, on=\"2022 NAICS Code\")\n",
        "fac_suppliers_data = fac_suppliers_data.merge(naics, on=\"2022 NAICS Code\")\n",
        "\n",
        "# Display emitters and suppliers data\n",
        "display(HTML(\"<h2>\"+year+\"'s Top 10 Direct Emitters:</h2>\"))\n",
        "display(fac_directemitters_data.nlargest(10,\"Emissions (tCO2e)\").style.format({\"Emissions (tCO2e)\": '{:,.0f}'}))\n",
        "display(HTML(\"<h2>\"+year+\"'s Top 10 Supplier Facilities:</h2>\"))\n",
        "display(fac_suppliers_data.nlargest(10,\"Emissions (tCO2e)\").style.format({\"Emissions (tCO2e)\": '{:,.0f}'}))"
      ],
      "execution_count": 11,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<IPython.core.display.HTML object>"
            ],
            "text/html": [
              "<h2>2023's Top 10 Direct Emitters:</h2>"
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<pandas.io.formats.style.Styler at 0x785cfe5570d0>"
            ],
            "text/html": [
              "<style type=\"text/css\">\n",
              "</style>\n",
              "<table id=\"T_85048\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr>\n",
              "      <th class=\"blank level0\" >&nbsp;</th>\n",
              "      <th id=\"T_85048_level0_col0\" class=\"col_heading level0 col0\" >Facility</th>\n",
              "      <th id=\"T_85048_level0_col1\" class=\"col_heading level0 col1\" >Name</th>\n",
              "      <th id=\"T_85048_level0_col2\" class=\"col_heading level0 col2\" >2022 NAICS Code</th>\n",
              "      <th id=\"T_85048_level0_col3\" class=\"col_heading level0 col3\" >Primary NAICS Code</th>\n",
              "      <th id=\"T_85048_level0_col4\" class=\"col_heading level0 col4\" >Emissions (tCO2e)</th>\n",
              "      <th id=\"T_85048_level0_col5\" class=\"col_heading level0 col5\" >2022 NAICS Title</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th id=\"T_85048_level0_row0\" class=\"row_heading level0 row0\" >4597</th>\n",
              "      <td id=\"T_85048_row0_col0\" class=\"data row0 col0\" >1007227</td>\n",
              "      <td id=\"T_85048_row0_col1\" class=\"data row0 col1\" >James H Miller Jr</td>\n",
              "      <td id=\"T_85048_row0_col2\" class=\"data row0 col2\" >221112</td>\n",
              "      <td id=\"T_85048_row0_col3\" class=\"data row0 col3\" >0</td>\n",
              "      <td id=\"T_85048_row0_col4\" class=\"data row0 col4\" >16,558,381</td>\n",
              "      <td id=\"T_85048_row0_col5\" class=\"data row0 col5\" >Fossil Fuel Electric Power Generation </td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_85048_level0_row1\" class=\"row_heading level0 row1\" >149</th>\n",
              "      <td id=\"T_85048_row1_col0\" class=\"data row1 col0\" >1000192</td>\n",
              "      <td id=\"T_85048_row1_col1\" class=\"data row1 col1\" >Labadie</td>\n",
              "      <td id=\"T_85048_row1_col2\" class=\"data row1 col2\" >221112</td>\n",
              "      <td id=\"T_85048_row1_col3\" class=\"data row1 col3\" >0</td>\n",
              "      <td id=\"T_85048_row1_col4\" class=\"data row1 col4\" >15,388,715</td>\n",
              "      <td id=\"T_85048_row1_col5\" class=\"data row1 col5\" >Fossil Fuel Electric Power Generation </td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_85048_level0_row2\" class=\"row_heading level0 row2\" >793</th>\n",
              "      <td id=\"T_85048_row2_col0\" class=\"data row2 col0\" >1001194</td>\n",
              "      <td id=\"T_85048_row2_col1\" class=\"data row2 col1\" >Gen J M Gavin</td>\n",
              "      <td id=\"T_85048_row2_col2\" class=\"data row2 col2\" >221112</td>\n",
              "      <td id=\"T_85048_row2_col3\" class=\"data row2 col3\" >0</td>\n",
              "      <td id=\"T_85048_row2_col4\" class=\"data row2 col4\" >13,451,174</td>\n",
              "      <td id=\"T_85048_row2_col5\" class=\"data row2 col5\" >Fossil Fuel Electric Power Generation </td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_85048_level0_row3\" class=\"row_heading level0 row3\" >4738</th>\n",
              "      <td id=\"T_85048_row3_col0\" class=\"data row3 col0\" >1007504</td>\n",
              "      <td id=\"T_85048_row3_col1\" class=\"data row3 col1\" >Martin Lake</td>\n",
              "      <td id=\"T_85048_row3_col2\" class=\"data row3 col2\" >221112</td>\n",
              "      <td id=\"T_85048_row3_col3\" class=\"data row3 col3\" >0</td>\n",
              "      <td id=\"T_85048_row3_col4\" class=\"data row3 col4\" >12,787,949</td>\n",
              "      <td id=\"T_85048_row3_col5\" class=\"data row3 col5\" >Fossil Fuel Electric Power Generation </td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_85048_level0_row4\" class=\"row_heading level0 row4\" >4760</th>\n",
              "      <td id=\"T_85048_row4_col0\" class=\"data row4 col0\" >1007542</td>\n",
              "      <td id=\"T_85048_row4_col1\" class=\"data row4 col1\" >EXXONMOBIL Bt Site</td>\n",
              "      <td id=\"T_85048_row4_col2\" class=\"data row4 col2\" >324110</td>\n",
              "      <td id=\"T_85048_row4_col3\" class=\"data row4 col3\" >0</td>\n",
              "      <td id=\"T_85048_row4_col4\" class=\"data row4 col4\" >12,693,547</td>\n",
              "      <td id=\"T_85048_row4_col5\" class=\"data row4 col5\" >Petroleum Refineries</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_85048_level0_row5\" class=\"row_heading level0 row5\" >4739</th>\n",
              "      <td id=\"T_85048_row5_col0\" class=\"data row5 col0\" >1007505</td>\n",
              "      <td id=\"T_85048_row5_col1\" class=\"data row5 col1\" >Oak Grove</td>\n",
              "      <td id=\"T_85048_row5_col2\" class=\"data row5 col2\" >221112</td>\n",
              "      <td id=\"T_85048_row5_col3\" class=\"data row5 col3\" >0</td>\n",
              "      <td id=\"T_85048_row5_col4\" class=\"data row5 col4\" >12,278,594</td>\n",
              "      <td id=\"T_85048_row5_col5\" class=\"data row5 col5\" >Fossil Fuel Electric Power Generation </td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_85048_level0_row6\" class=\"row_heading level0 row6\" >1251</th>\n",
              "      <td id=\"T_85048_row6_col0\" class=\"data row6 col0\" >1001887</td>\n",
              "      <td id=\"T_85048_row6_col1\" class=\"data row6 col1\" >PRAIRIE STATE GENERATING STATION</td>\n",
              "      <td id=\"T_85048_row6_col2\" class=\"data row6 col2\" >221112</td>\n",
              "      <td id=\"T_85048_row6_col3\" class=\"data row6 col3\" >0</td>\n",
              "      <td id=\"T_85048_row6_col4\" class=\"data row6 col4\" >11,456,295</td>\n",
              "      <td id=\"T_85048_row6_col5\" class=\"data row6 col5\" >Fossil Fuel Electric Power Generation </td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_85048_level0_row7\" class=\"row_heading level0 row7\" >465</th>\n",
              "      <td id=\"T_85048_row7_col0\" class=\"data row7 col0\" >1000676</td>\n",
              "      <td id=\"T_85048_row7_col1\" class=\"data row7 col1\" >Monroe</td>\n",
              "      <td id=\"T_85048_row7_col2\" class=\"data row7 col2\" >221112</td>\n",
              "      <td id=\"T_85048_row7_col3\" class=\"data row7 col3\" >0</td>\n",
              "      <td id=\"T_85048_row7_col4\" class=\"data row7 col4\" >11,413,347</td>\n",
              "      <td id=\"T_85048_row7_col5\" class=\"data row7 col5\" >Fossil Fuel Electric Power Generation </td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_85048_level0_row8\" class=\"row_heading level0 row8\" >4945</th>\n",
              "      <td id=\"T_85048_row8_col0\" class=\"data row8 col0\" >1007793</td>\n",
              "      <td id=\"T_85048_row8_col1\" class=\"data row8 col1\" >Harrison Power Station</td>\n",
              "      <td id=\"T_85048_row8_col2\" class=\"data row8 col2\" >221112</td>\n",
              "      <td id=\"T_85048_row8_col3\" class=\"data row8 col3\" >0</td>\n",
              "      <td id=\"T_85048_row8_col4\" class=\"data row8 col4\" >11,179,958</td>\n",
              "      <td id=\"T_85048_row8_col5\" class=\"data row8 col5\" >Fossil Fuel Electric Power Generation </td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_85048_level0_row9\" class=\"row_heading level0 row9\" >681</th>\n",
              "      <td id=\"T_85048_row9_col0\" class=\"data row9 col0\" >1001045</td>\n",
              "      <td id=\"T_85048_row9_col1\" class=\"data row9 col1\" >Laramie River</td>\n",
              "      <td id=\"T_85048_row9_col2\" class=\"data row9 col2\" >221112</td>\n",
              "      <td id=\"T_85048_row9_col3\" class=\"data row9 col3\" >0</td>\n",
              "      <td id=\"T_85048_row9_col4\" class=\"data row9 col4\" >10,979,532</td>\n",
              "      <td id=\"T_85048_row9_col5\" class=\"data row9 col5\" >Fossil Fuel Electric Power Generation </td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n"
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<IPython.core.display.HTML object>"
            ],
            "text/html": [
              "<h2>2023's Top 10 Supplier Facilities:</h2>"
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<pandas.io.formats.style.Styler at 0x785cfe5570d0>"
            ],
            "text/html": [
              "<style type=\"text/css\">\n",
              "</style>\n",
              "<table id=\"T_644f3\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr>\n",
              "      <th class=\"blank level0\" >&nbsp;</th>\n",
              "      <th id=\"T_644f3_level0_col0\" class=\"col_heading level0 col0\" >Facility</th>\n",
              "      <th id=\"T_644f3_level0_col1\" class=\"col_heading level0 col1\" >Name</th>\n",
              "      <th id=\"T_644f3_level0_col2\" class=\"col_heading level0 col2\" >2022 NAICS Code</th>\n",
              "      <th id=\"T_644f3_level0_col3\" class=\"col_heading level0 col3\" >Emissions (tCO2e)</th>\n",
              "      <th id=\"T_644f3_level0_col4\" class=\"col_heading level0 col4\" >2022 NAICS Title</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th id=\"T_644f3_level0_row0\" class=\"row_heading level0 row0\" >990</th>\n",
              "      <td id=\"T_644f3_row0_col0\" class=\"data row0 col0\" >1010568</td>\n",
              "      <td id=\"T_644f3_row0_col1\" class=\"data row0 col1\" >Valero Marketing and Supply Company</td>\n",
              "      <td id=\"T_644f3_row0_col2\" class=\"data row0 col2\" >424720</td>\n",
              "      <td id=\"T_644f3_row0_col3\" class=\"data row0 col3\" >238,380,354</td>\n",
              "      <td id=\"T_644f3_row0_col4\" class=\"data row0 col4\" >Petroleum and Petroleum Products Merchant Wholesalers (except Bulk Stations and Terminals) </td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_644f3_level0_row1\" class=\"row_heading level0 row1\" >414</th>\n",
              "      <td id=\"T_644f3_row1_col0\" class=\"data row1 col0\" >1003043</td>\n",
              "      <td id=\"T_644f3_row1_col1\" class=\"data row1 col1\" >Garyville Refinery</td>\n",
              "      <td id=\"T_644f3_row1_col2\" class=\"data row1 col2\" >324110</td>\n",
              "      <td id=\"T_644f3_row1_col3\" class=\"data row1 col3\" >93,705,370</td>\n",
              "      <td id=\"T_644f3_row1_col4\" class=\"data row1 col4\" >Petroleum Refineries</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_644f3_level0_row2\" class=\"row_heading level0 row2\" >582</th>\n",
              "      <td id=\"T_644f3_row2_col0\" class=\"data row2 col0\" >1007458</td>\n",
              "      <td id=\"T_644f3_row2_col1\" class=\"data row2 col1\" >MOTIVA ENTERPRISES LLC</td>\n",
              "      <td id=\"T_644f3_row2_col2\" class=\"data row2 col2\" >324110</td>\n",
              "      <td id=\"T_644f3_row2_col3\" class=\"data row2 col3\" >91,983,868</td>\n",
              "      <td id=\"T_644f3_row2_col4\" class=\"data row2 col4\" >Petroleum Refineries</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_644f3_level0_row3\" class=\"row_heading level0 row3\" >351</th>\n",
              "      <td id=\"T_644f3_row3_col0\" class=\"data row3 col0\" >1007959</td>\n",
              "      <td id=\"T_644f3_row3_col1\" class=\"data row3 col1\" >Exxonmobil Beaumont Refinery</td>\n",
              "      <td id=\"T_644f3_row3_col2\" class=\"data row3 col2\" >324110</td>\n",
              "      <td id=\"T_644f3_row3_col3\" class=\"data row3 col3\" >83,078,905</td>\n",
              "      <td id=\"T_644f3_row3_col4\" class=\"data row3 col4\" >Petroleum Refineries</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_644f3_level0_row4\" class=\"row_heading level0 row4\" >331</th>\n",
              "      <td id=\"T_644f3_row4_col0\" class=\"data row4 col0\" >1007542</td>\n",
              "      <td id=\"T_644f3_row4_col1\" class=\"data row4 col1\" >EXXONMOBIL Bt Site</td>\n",
              "      <td id=\"T_644f3_row4_col2\" class=\"data row4 col2\" >324110</td>\n",
              "      <td id=\"T_644f3_row4_col3\" class=\"data row4 col3\" >82,201,241</td>\n",
              "      <td id=\"T_644f3_row4_col4\" class=\"data row4 col4\" >Petroleum Refineries</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_644f3_level0_row5\" class=\"row_heading level0 row5\" >330</th>\n",
              "      <td id=\"T_644f3_row5_col0\" class=\"data row5 col0\" >1007643</td>\n",
              "      <td id=\"T_644f3_row5_col1\" class=\"data row5 col1\" >EXXONMOBIL BATON ROUGE REFINERY AND CHEMICAL PLANT</td>\n",
              "      <td id=\"T_644f3_row5_col2\" class=\"data row5 col2\" >324110</td>\n",
              "      <td id=\"T_644f3_row5_col3\" class=\"data row5 col3\" >80,977,604</td>\n",
              "      <td id=\"T_644f3_row5_col4\" class=\"data row5 col4\" >Petroleum Refineries</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_644f3_level0_row6\" class=\"row_heading level0 row6\" >347</th>\n",
              "      <td id=\"T_644f3_row6_col0\" class=\"data row6 col0\" >1010448</td>\n",
              "      <td id=\"T_644f3_row6_col1\" class=\"data row6 col1\" >Enterprise Products Operating LLC</td>\n",
              "      <td id=\"T_644f3_row6_col2\" class=\"data row6 col2\" >488320</td>\n",
              "      <td id=\"T_644f3_row6_col3\" class=\"data row6 col3\" >72,902,210</td>\n",
              "      <td id=\"T_644f3_row6_col4\" class=\"data row6 col4\" >Marine Cargo Handling</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_644f3_level0_row7\" class=\"row_heading level0 row7\" >412</th>\n",
              "      <td id=\"T_644f3_row7_col0\" class=\"data row7 col0\" >1005585</td>\n",
              "      <td id=\"T_644f3_row7_col1\" class=\"data row7 col1\" >Galveston Bay Refinery</td>\n",
              "      <td id=\"T_644f3_row7_col2\" class=\"data row7 col2\" >324110</td>\n",
              "      <td id=\"T_644f3_row7_col3\" class=\"data row7 col3\" >71,172,513</td>\n",
              "      <td id=\"T_644f3_row7_col4\" class=\"data row7 col4\" >Petroleum Refineries</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_644f3_level0_row8\" class=\"row_heading level0 row8\" >94</th>\n",
              "      <td id=\"T_644f3_row8_col0\" class=\"data row8 col0\" >1007339</td>\n",
              "      <td id=\"T_644f3_row8_col1\" class=\"data row8 col1\" >BP Whiting Business Unit</td>\n",
              "      <td id=\"T_644f3_row8_col2\" class=\"data row8 col2\" >324110</td>\n",
              "      <td id=\"T_644f3_row8_col3\" class=\"data row8 col3\" >65,956,897</td>\n",
              "      <td id=\"T_644f3_row8_col4\" class=\"data row8 col4\" >Petroleum Refineries</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_644f3_level0_row9\" class=\"row_heading level0 row9\" >152</th>\n",
              "      <td id=\"T_644f3_row9_col0\" class=\"data row9 col0\" >1002389</td>\n",
              "      <td id=\"T_644f3_row9_col1\" class=\"data row9 col1\" >CITGO PETROLEUM CORP - LAKE CHARLES MANUFACTURING COMPLEX</td>\n",
              "      <td id=\"T_644f3_row9_col2\" class=\"data row9 col2\" >324110</td>\n",
              "      <td id=\"T_644f3_row9_col3\" class=\"data row9 col3\" >64,197,374</td>\n",
              "      <td id=\"T_644f3_row9_col4\" class=\"data row9 col4\" >Petroleum Refineries</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n"
            ]
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "rf-LNaAb8Q5x"
      },
      "source": [
        "Export this processed data, if you like, by running the cell below.\n"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "LQHUStJo8TkK",
        "outputId": "e3997a30-6c99-493c-f941-a1ae6445c3bb"
      },
      "source": [
        "if ( fac_directemitters_data is not None):\n",
        "  fac_directemitters_data.to_csv( 'ghgdata_directemitters_facilities_'+year+'.csv' )\n",
        "if ( fac_suppliers_data is not None):\n",
        "  fac_suppliers_data.to_csv( 'ghgdata_suppliers_facilities_'+year+'.csv' )\n",
        "print(\"Exported! Check the 'Files' folder in Colab to download it.\")"
      ],
      "execution_count": 12,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Exported! Check the 'Files' folder in Colab to download it.\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "hC7Sb5Kj83IE"
      },
      "source": [
        "Now we'll get EPA's information on who owns these facilities."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 858
        },
        "id": "U4lGtCX784-I",
        "outputId": "5335a546-3eaf-4ee0-fa37-5b535046c023"
      },
      "source": [
        "# First we get some additional information from the EPA on parent companies\n",
        "url = \"https://www.epa.gov/system/files/other-files/2024-10/ghgp_data_parent_company.xlsb\"\n",
        "r = requests.get(url, headers=headers) # Pretend we are a normal browser\n",
        "parents = pd.read_excel(r.content, engine='pyxlsb', sheet_name = year)\n",
        "parents[\"PARENT COMPANY NAME\"] = parents[\"PARENT COMPANY NAME\"].str.upper() # Standardize company names to uppercase - sometimes EPA allows company names to be reported in upper and lower case, which intereferes with our ability to aggregate them\n",
        "parents"
      ],
      "execution_count": 13,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "      GHGRP FACILITY ID  FRS ID (FACILITY)  REPORTING YEAR  \\\n",
              "0               1000001       1.100005e+11            2023   \n",
              "1               1000002       1.100412e+11            2023   \n",
              "2               1000003       1.100015e+11            2023   \n",
              "3               1000005       1.100005e+11            2023   \n",
              "4               1000007       1.100070e+11            2023   \n",
              "...                 ...                ...             ...   \n",
              "9055            1014921       1.100717e+11            2023   \n",
              "9056            1015119       1.100575e+11            2023   \n",
              "9057            1015125       1.100283e+11            2023   \n",
              "9058            1015127                NaN            2023   \n",
              "9059            1015132                NaN            2023   \n",
              "\n",
              "                                       FACILITY NAME  \\\n",
              "0                    PSE Ferndale Generating Station   \n",
              "1                        Ardagh Glass Inc. (Dunkirk)   \n",
              "2                      Ardagh Glass Inc. (Henderson)   \n",
              "3                         Ardagh Glass Inc. (Madera)   \n",
              "4     AMERICAN GYPSUM - BERNALILLO (WALLBOARD) PLANT   \n",
              "...                                              ...   \n",
              "9055                                 Avista Landfill   \n",
              "9056                        VMC Specialty Alloys LLC   \n",
              "9057                      Blue Flint Capture Company   \n",
              "9058                          Kronospan Simsboro LLC   \n",
              "9059                          Omaha 175-176 Facility   \n",
              "\n",
              "                     FACILITY ADDRESS FACILITY CITY FACILITY STATE  \\\n",
              "0              5105 LAKE TERRELL ROAD      FERNDALE             WA   \n",
              "1                524 E. CENTER STREET       DUNKIRK             IN   \n",
              "2                      620 Facet Road     Henderson             NC   \n",
              "3       24441 AVENUE 12 & ROAD 24 1/2        MADERA             CA   \n",
              "4                      1000 N HILL RD    BERNALILLO             NM   \n",
              "...                               ...           ...            ...   \n",
              "9055                              NaN  Kettle Falls             WA   \n",
              "9056  800 Martin Luther King Jr Drive   Adairsville             GA   \n",
              "9057                   2841 3rd St SW     Underwood             ND   \n",
              "9058               486 Duraflake Road      Simsboro             LA   \n",
              "9059                              NaN         Pecos             TX   \n",
              "\n",
              "      FACILITY ZIP  FACILITY COUNTY                 PARENT COMPANY NAME  \\\n",
              "0            98248   WHATCOM COUNTY                  PUGET HOLDINGS LLC   \n",
              "1            47336       JAY COUNTY                    ARDAGH GLASS INC   \n",
              "2            27537     VANCE COUNTY                    ARDAGH GLASS INC   \n",
              "3            93637    MADERA COUNTY                    ARDAGH GLASS INC   \n",
              "4            87004  SANDOVAL COUNTY                 EAGLE MATERIALS INC   \n",
              "...            ...              ...                                 ...   \n",
              "9055         99141   STEVENS COUNTY                         AVISTA CORP   \n",
              "9056         30103    BARTOW COUNTY            VMC SPECIALTY ALLOYS LLC   \n",
              "9057         58576    MCLEAN COUNTY      HARVESTONE LOW CARBON PARTNERS   \n",
              "9058         71275              NaN                       KRONOSPAN INC   \n",
              "9059         79772             Ward  MANTI TARKA PERMIAN OPERATING, LLC   \n",
              "\n",
              "             PARENT CO. STREET ADDRESS PARENT CO. CITY PARENT CO. STATE  \\\n",
              "0                         Po Box 97034        Bellevue               WA   \n",
              "1     10194 Crosspoint Blvd, Suite 410    Indianapolis               IN   \n",
              "2        10194 CROSSPOINT BLVD STE 410    Indianapolis               IN   \n",
              "3        10194 CROSSPOINT BLVD STE 410    Indianapolis               IN   \n",
              "4       5960 Berkshire Lane, Suite 900          Dallas               TX   \n",
              "...                                ...             ...              ...   \n",
              "9055                1411 E Mission Ave         Spokane               WA   \n",
              "9056      800 Martin Luther King Drive     Adairsville               GA   \n",
              "9057                2841 3rd Street SW       Underwood               ND   \n",
              "9058                   1 Kronospan Way       Eastaboga               AL   \n",
              "9059         2 RIVERWAY DR, SUITE 1100         HOUSTON               TX   \n",
              "\n",
              "     PARENT CO. ZIP  PARENT CO. PERCENT OWNERSHIP  FACILITY NAICS CODE  \n",
              "0             98009                         100.0             221112.0  \n",
              "1             46256                         100.0             327213.0  \n",
              "2             46256                         100.0             327213.0  \n",
              "3             46256                         100.0             327213.0  \n",
              "4             75225                         100.0             327420.0  \n",
              "...             ...                           ...                  ...  \n",
              "9055          99202                         100.0             562212.0  \n",
              "9056          30103                         100.0             331314.0  \n",
              "9057          58576                         100.0             325120.0  \n",
              "9058          36260                         100.0             321219.0  \n",
              "9059          77056                         100.0             211120.0  \n",
              "\n",
              "[9060 rows x 16 columns]"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-614e1c8f-616e-42d7-9196-8acb7a4862f4\" class=\"colab-df-container\">\n",
              "    <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>GHGRP FACILITY ID</th>\n",
              "      <th>FRS ID (FACILITY)</th>\n",
              "      <th>REPORTING YEAR</th>\n",
              "      <th>FACILITY NAME</th>\n",
              "      <th>FACILITY ADDRESS</th>\n",
              "      <th>FACILITY CITY</th>\n",
              "      <th>FACILITY STATE</th>\n",
              "      <th>FACILITY ZIP</th>\n",
              "      <th>FACILITY COUNTY</th>\n",
              "      <th>PARENT COMPANY NAME</th>\n",
              "      <th>PARENT CO. STREET ADDRESS</th>\n",
              "      <th>PARENT CO. CITY</th>\n",
              "      <th>PARENT CO. STATE</th>\n",
              "      <th>PARENT CO. ZIP</th>\n",
              "      <th>PARENT CO. PERCENT OWNERSHIP</th>\n",
              "      <th>FACILITY NAICS CODE</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>1000001</td>\n",
              "      <td>1.100005e+11</td>\n",
              "      <td>2023</td>\n",
              "      <td>PSE Ferndale Generating Station</td>\n",
              "      <td>5105 LAKE TERRELL ROAD</td>\n",
              "      <td>FERNDALE</td>\n",
              "      <td>WA</td>\n",
              "      <td>98248</td>\n",
              "      <td>WHATCOM COUNTY</td>\n",
              "      <td>PUGET HOLDINGS LLC</td>\n",
              "      <td>Po Box 97034</td>\n",
              "      <td>Bellevue</td>\n",
              "      <td>WA</td>\n",
              "      <td>98009</td>\n",
              "      <td>100.0</td>\n",
              "      <td>221112.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>1000002</td>\n",
              "      <td>1.100412e+11</td>\n",
              "      <td>2023</td>\n",
              "      <td>Ardagh Glass Inc. (Dunkirk)</td>\n",
              "      <td>524 E. CENTER STREET</td>\n",
              "      <td>DUNKIRK</td>\n",
              "      <td>IN</td>\n",
              "      <td>47336</td>\n",
              "      <td>JAY COUNTY</td>\n",
              "      <td>ARDAGH GLASS INC</td>\n",
              "      <td>10194 Crosspoint Blvd, Suite 410</td>\n",
              "      <td>Indianapolis</td>\n",
              "      <td>IN</td>\n",
              "      <td>46256</td>\n",
              "      <td>100.0</td>\n",
              "      <td>327213.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>1000003</td>\n",
              "      <td>1.100015e+11</td>\n",
              "      <td>2023</td>\n",
              "      <td>Ardagh Glass Inc. (Henderson)</td>\n",
              "      <td>620 Facet Road</td>\n",
              "      <td>Henderson</td>\n",
              "      <td>NC</td>\n",
              "      <td>27537</td>\n",
              "      <td>VANCE COUNTY</td>\n",
              "      <td>ARDAGH GLASS INC</td>\n",
              "      <td>10194 CROSSPOINT BLVD STE 410</td>\n",
              "      <td>Indianapolis</td>\n",
              "      <td>IN</td>\n",
              "      <td>46256</td>\n",
              "      <td>100.0</td>\n",
              "      <td>327213.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>1000005</td>\n",
              "      <td>1.100005e+11</td>\n",
              "      <td>2023</td>\n",
              "      <td>Ardagh Glass Inc. (Madera)</td>\n",
              "      <td>24441 AVENUE 12 &amp; ROAD 24 1/2</td>\n",
              "      <td>MADERA</td>\n",
              "      <td>CA</td>\n",
              "      <td>93637</td>\n",
              "      <td>MADERA COUNTY</td>\n",
              "      <td>ARDAGH GLASS INC</td>\n",
              "      <td>10194 CROSSPOINT BLVD STE 410</td>\n",
              "      <td>Indianapolis</td>\n",
              "      <td>IN</td>\n",
              "      <td>46256</td>\n",
              "      <td>100.0</td>\n",
              "      <td>327213.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>1000007</td>\n",
              "      <td>1.100070e+11</td>\n",
              "      <td>2023</td>\n",
              "      <td>AMERICAN GYPSUM - BERNALILLO (WALLBOARD) PLANT</td>\n",
              "      <td>1000 N HILL RD</td>\n",
              "      <td>BERNALILLO</td>\n",
              "      <td>NM</td>\n",
              "      <td>87004</td>\n",
              "      <td>SANDOVAL COUNTY</td>\n",
              "      <td>EAGLE MATERIALS INC</td>\n",
              "      <td>5960 Berkshire Lane, Suite 900</td>\n",
              "      <td>Dallas</td>\n",
              "      <td>TX</td>\n",
              "      <td>75225</td>\n",
              "      <td>100.0</td>\n",
              "      <td>327420.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9055</th>\n",
              "      <td>1014921</td>\n",
              "      <td>1.100717e+11</td>\n",
              "      <td>2023</td>\n",
              "      <td>Avista Landfill</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Kettle Falls</td>\n",
              "      <td>WA</td>\n",
              "      <td>99141</td>\n",
              "      <td>STEVENS COUNTY</td>\n",
              "      <td>AVISTA CORP</td>\n",
              "      <td>1411 E Mission Ave</td>\n",
              "      <td>Spokane</td>\n",
              "      <td>WA</td>\n",
              "      <td>99202</td>\n",
              "      <td>100.0</td>\n",
              "      <td>562212.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9056</th>\n",
              "      <td>1015119</td>\n",
              "      <td>1.100575e+11</td>\n",
              "      <td>2023</td>\n",
              "      <td>VMC Specialty Alloys LLC</td>\n",
              "      <td>800 Martin Luther King Jr Drive</td>\n",
              "      <td>Adairsville</td>\n",
              "      <td>GA</td>\n",
              "      <td>30103</td>\n",
              "      <td>BARTOW COUNTY</td>\n",
              "      <td>VMC SPECIALTY ALLOYS LLC</td>\n",
              "      <td>800 Martin Luther King Drive</td>\n",
              "      <td>Adairsville</td>\n",
              "      <td>GA</td>\n",
              "      <td>30103</td>\n",
              "      <td>100.0</td>\n",
              "      <td>331314.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9057</th>\n",
              "      <td>1015125</td>\n",
              "      <td>1.100283e+11</td>\n",
              "      <td>2023</td>\n",
              "      <td>Blue Flint Capture Company</td>\n",
              "      <td>2841 3rd St SW</td>\n",
              "      <td>Underwood</td>\n",
              "      <td>ND</td>\n",
              "      <td>58576</td>\n",
              "      <td>MCLEAN COUNTY</td>\n",
              "      <td>HARVESTONE LOW CARBON PARTNERS</td>\n",
              "      <td>2841 3rd Street SW</td>\n",
              "      <td>Underwood</td>\n",
              "      <td>ND</td>\n",
              "      <td>58576</td>\n",
              "      <td>100.0</td>\n",
              "      <td>325120.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9058</th>\n",
              "      <td>1015127</td>\n",
              "      <td>NaN</td>\n",
              "      <td>2023</td>\n",
              "      <td>Kronospan Simsboro LLC</td>\n",
              "      <td>486 Duraflake Road</td>\n",
              "      <td>Simsboro</td>\n",
              "      <td>LA</td>\n",
              "      <td>71275</td>\n",
              "      <td>NaN</td>\n",
              "      <td>KRONOSPAN INC</td>\n",
              "      <td>1 Kronospan Way</td>\n",
              "      <td>Eastaboga</td>\n",
              "      <td>AL</td>\n",
              "      <td>36260</td>\n",
              "      <td>100.0</td>\n",
              "      <td>321219.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9059</th>\n",
              "      <td>1015132</td>\n",
              "      <td>NaN</td>\n",
              "      <td>2023</td>\n",
              "      <td>Omaha 175-176 Facility</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Pecos</td>\n",
              "      <td>TX</td>\n",
              "      <td>79772</td>\n",
              "      <td>Ward</td>\n",
              "      <td>MANTI TARKA PERMIAN OPERATING, LLC</td>\n",
              "      <td>2 RIVERWAY DR, SUITE 1100</td>\n",
              "      <td>HOUSTON</td>\n",
              "      <td>TX</td>\n",
              "      <td>77056</td>\n",
              "      <td>100.0</td>\n",
              "      <td>211120.0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>9060 rows × 16 columns</p>\n",
              "</div>\n",
              "    <div class=\"colab-df-buttons\">\n",
              "\n",
              "  <div class=\"colab-df-container\">\n",
              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-614e1c8f-616e-42d7-9196-8acb7a4862f4')\"\n",
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              "            style=\"display:none;\">\n",
              "\n",
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              "\n",
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              "\n",
              "    .colab-df-buttons div {\n",
              "      margin-bottom: 4px;\n",
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              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
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              "\n",
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              "        document.querySelector('#df-614e1c8f-616e-42d7-9196-8acb7a4862f4 button.colab-df-convert');\n",
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              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
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              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
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              "        docLink.innerHTML = docLinkHtml;\n",
              "        element.appendChild(docLink);\n",
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              "\n",
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              "\n",
              "  .colab-df-quickchart {\n",
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              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
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              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
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              "    20% {\n",
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              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-dde0f861-5988-4428-8a48-d1c6d89e9d5b button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "\n",
              "  <div id=\"id_2c64f38c-8237-4f62-9474-020f211c1306\">\n",
              "    <style>\n",
              "      .colab-df-generate {\n",
              "        background-color: #E8F0FE;\n",
              "        border: none;\n",
              "        border-radius: 50%;\n",
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              "        display: none;\n",
              "        fill: #1967D2;\n",
              "        height: 32px;\n",
              "        padding: 0 0 0 0;\n",
              "        width: 32px;\n",
              "      }\n",
              "\n",
              "      .colab-df-generate:hover {\n",
              "        background-color: #E2EBFA;\n",
              "        box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "        fill: #174EA6;\n",
              "      }\n",
              "\n",
              "      [theme=dark] .colab-df-generate {\n",
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              "        fill: #D2E3FC;\n",
              "      }\n",
              "\n",
              "      [theme=dark] .colab-df-generate:hover {\n",
              "        background-color: #434B5C;\n",
              "        box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "        filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "        fill: #FFFFFF;\n",
              "      }\n",
              "    </style>\n",
              "    <button class=\"colab-df-generate\" onclick=\"generateWithVariable('parents')\"\n",
              "            title=\"Generate code using this dataframe.\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "       width=\"24px\">\n",
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              "    </button>\n",
              "    <script>\n",
              "      (() => {\n",
              "      const buttonEl =\n",
              "        document.querySelector('#id_2c64f38c-8237-4f62-9474-020f211c1306 button.colab-df-generate');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      buttonEl.onclick = () => {\n",
              "        google.colab.notebook.generateWithVariable('parents');\n",
              "      }\n",
              "      })();\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "parents",
              "summary": "{\n  \"name\": \"parents\",\n  \"rows\": 9060,\n  \"fields\": [\n    {\n      \"column\": \"GHGRP FACILITY ID\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 4432,\n        \"min\": 1000001,\n        \"max\": 1015132,\n        \"num_unique_values\": 8106,\n        \"samples\": [\n          1003968,\n          1010935,\n          1006473\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"FRS ID (FACILITY)\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 29303426.976471707,\n        \"min\": 110000307864.0,\n        \"max\": 110071704324.0,\n        \"num_unique_values\": 6904,\n        \"samples\": [\n          110056963380.0,\n          110038493298.0,\n          110066854425.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"REPORTING YEAR\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0,\n        \"min\": 2023,\n        \"max\": 2023,\n        \"num_unique_values\": 1,\n        \"samples\": [\n          2023\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"FACILITY NAME\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 7990,\n        \"samples\": [\n          \"CHALMETTE REFINING LLC - CHALMETTE REFINERY\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"FACILITY ADDRESS\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 7108,\n        \"samples\": [\n          \"4837 Highway 81 South\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"FACILITY CITY\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 4306,\n        \"samples\": [\n          \"KNOXVILLE\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"FACILITY STATE\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 54,\n        \"samples\": [\n          \"ME\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"FACILITY ZIP\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 26702,\n        \"min\": 0,\n        \"max\": 99801,\n        \"num_unique_values\": 4955,\n        \"samples\": [\n          52154\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"FACILITY COUNTY\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 1796,\n        \"samples\": [\n          \"SENECA COUNTY\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"PARENT COMPANY NAME\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 3307,\n        \"samples\": [\n          \"CPN MANAGEMENT LP\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"PARENT CO. STREET ADDRESS\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 3552,\n        \"samples\": [\n          \"1808 I-70 Dr Sw\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"PARENT CO. CITY\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 1578,\n        \"samples\": [\n          \"Mitchellville\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"PARENT CO. STATE\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 54,\n        \"samples\": [\n          \"NE\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"PARENT CO. ZIP\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 2367,\n        \"samples\": [\n          \"67901\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"PARENT CO. PERCENT OWNERSHIP\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 26.78463107951689,\n        \"min\": 0.0,\n        \"max\": 100.0,\n        \"num_unique_values\": 379,\n        \"samples\": [\n          63.4\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"FACILITY NAICS CODE\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 140589.49075391598,\n        \"min\": 111419.0,\n        \"max\": 928110.0,\n        \"num_unique_values\": 255,\n        \"samples\": [\n          327215.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 13
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "7OdXLr389aAd"
      },
      "source": [
        "In this cell, we'll pair parent companies' data with that of the facilities they own."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "VeV80B1j9ZfU",
        "outputId": "1181f30e-28e0-4970-c071-09111bee2f95"
      },
      "source": [
        "# Join tables between Facility and GHGRP FACILITY ID\n",
        "# Basically we are saying, for each facility, and for each parent/stake, what emissions?\n",
        "# First we'll join in all emissions, then later we'll account for specific percent ownership and reduce emissions according to these stakes.\n",
        "join_emitters = fac_directemitters_data.set_index(\"Facility\").join(parents.set_index('GHGRP FACILITY ID'))\n",
        "join_suppliers = fac_suppliers_data.set_index(\"Facility\").join(parents.set_index('GHGRP FACILITY ID'))\n",
        "\n",
        "# Show the first few lines of data from each\n",
        "display(HTML(\"<h2>\"+year+\"'s Direct Emitters:</h2>\"))\n",
        "display(join_emitters.head(5))\n",
        "display(HTML(\"<h2>\"+year+\"'s Suppliers:</h2>\"))\n",
        "display(join_suppliers.head(5))"
      ],
      "execution_count": 14,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<IPython.core.display.HTML object>"
            ],
            "text/html": [
              "<h2>2023's Direct Emitters:</h2>"
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "                                                   Name 2022 NAICS Code  \\\n",
              "1000001                 PSE Ferndale Generating Station          221112   \n",
              "1000002                     Ardagh Glass Inc. (Dunkirk)          327213   \n",
              "1000003                   Ardagh Glass Inc. (Henderson)          327213   \n",
              "1000005                      Ardagh Glass Inc. (Madera)          327213   \n",
              "1000007  AMERICAN GYPSUM - BERNALILLO (WALLBOARD) PLANT          327420   \n",
              "\n",
              "        Primary NAICS Code  Emissions (tCO2e)  \\\n",
              "1000001                  0         715257.160   \n",
              "1000002                  0         116955.040   \n",
              "1000003                  0          77625.440   \n",
              "1000005                  0          71574.356   \n",
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              "\n",
              "                               2022 NAICS Title  FRS ID (FACILITY)  \\\n",
              "1000001  Fossil Fuel Electric Power Generation        1.100005e+11   \n",
              "1000002          Glass Container Manufacturing        1.100412e+11   \n",
              "1000003          Glass Container Manufacturing        1.100015e+11   \n",
              "1000005          Glass Container Manufacturing        1.100005e+11   \n",
              "1000007            Gypsum Product Manufacturing       1.100070e+11   \n",
              "\n",
              "         REPORTING YEAR                                   FACILITY NAME  \\\n",
              "1000001          2023.0                 PSE Ferndale Generating Station   \n",
              "1000002          2023.0                     Ardagh Glass Inc. (Dunkirk)   \n",
              "1000003          2023.0                   Ardagh Glass Inc. (Henderson)   \n",
              "1000005          2023.0                      Ardagh Glass Inc. (Madera)   \n",
              "1000007          2023.0  AMERICAN GYPSUM - BERNALILLO (WALLBOARD) PLANT   \n",
              "\n",
              "                      FACILITY ADDRESS FACILITY CITY FACILITY STATE  \\\n",
              "1000001         5105 LAKE TERRELL ROAD      FERNDALE             WA   \n",
              "1000002           524 E. CENTER STREET       DUNKIRK             IN   \n",
              "1000003                 620 Facet Road     Henderson             NC   \n",
              "1000005  24441 AVENUE 12 & ROAD 24 1/2        MADERA             CA   \n",
              "1000007                 1000 N HILL RD    BERNALILLO             NM   \n",
              "\n",
              "         FACILITY ZIP  FACILITY COUNTY  PARENT COMPANY NAME  \\\n",
              "1000001       98248.0   WHATCOM COUNTY   PUGET HOLDINGS LLC   \n",
              "1000002       47336.0       JAY COUNTY     ARDAGH GLASS INC   \n",
              "1000003       27537.0     VANCE COUNTY     ARDAGH GLASS INC   \n",
              "1000005       93637.0    MADERA COUNTY     ARDAGH GLASS INC   \n",
              "1000007       87004.0  SANDOVAL COUNTY  EAGLE MATERIALS INC   \n",
              "\n",
              "                PARENT CO. STREET ADDRESS PARENT CO. CITY PARENT CO. STATE  \\\n",
              "1000001                      Po Box 97034        Bellevue               WA   \n",
              "1000002  10194 Crosspoint Blvd, Suite 410    Indianapolis               IN   \n",
              "1000003     10194 CROSSPOINT BLVD STE 410    Indianapolis               IN   \n",
              "1000005     10194 CROSSPOINT BLVD STE 410    Indianapolis               IN   \n",
              "1000007    5960 Berkshire Lane, Suite 900          Dallas               TX   \n",
              "\n",
              "        PARENT CO. ZIP  PARENT CO. PERCENT OWNERSHIP  FACILITY NAICS CODE  \n",
              "1000001          98009                         100.0             221112.0  \n",
              "1000002          46256                         100.0             327213.0  \n",
              "1000003          46256                         100.0             327213.0  \n",
              "1000005          46256                         100.0             327213.0  \n",
              "1000007          75225                         100.0             327420.0  "
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              "      <td>PSE Ferndale Generating Station</td>\n",
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              "      <td>98248.0</td>\n",
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              "      <td>327213</td>\n",
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              "      <td>116955.040</td>\n",
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              "      <td>2023.0</td>\n",
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              "      <td>DUNKIRK</td>\n",
              "      <td>IN</td>\n",
              "      <td>47336.0</td>\n",
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              "    <tr>\n",
              "      <th>1000003</th>\n",
              "      <td>Ardagh Glass Inc. (Henderson)</td>\n",
              "      <td>327213</td>\n",
              "      <td>0</td>\n",
              "      <td>77625.440</td>\n",
              "      <td>Glass Container Manufacturing</td>\n",
              "      <td>1.100015e+11</td>\n",
              "      <td>2023.0</td>\n",
              "      <td>Ardagh Glass Inc. (Henderson)</td>\n",
              "      <td>620 Facet Road</td>\n",
              "      <td>Henderson</td>\n",
              "      <td>NC</td>\n",
              "      <td>27537.0</td>\n",
              "      <td>VANCE COUNTY</td>\n",
              "      <td>ARDAGH GLASS INC</td>\n",
              "      <td>10194 CROSSPOINT BLVD STE 410</td>\n",
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              "      <th>1000005</th>\n",
              "      <td>Ardagh Glass Inc. (Madera)</td>\n",
              "      <td>327213</td>\n",
              "      <td>0</td>\n",
              "      <td>71574.356</td>\n",
              "      <td>Glass Container Manufacturing</td>\n",
              "      <td>1.100005e+11</td>\n",
              "      <td>2023.0</td>\n",
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              "      <td>24441 AVENUE 12 &amp; ROAD 24 1/2</td>\n",
              "      <td>MADERA</td>\n",
              "      <td>CA</td>\n",
              "      <td>93637.0</td>\n",
              "      <td>MADERA COUNTY</td>\n",
              "      <td>ARDAGH GLASS INC</td>\n",
              "      <td>10194 CROSSPOINT BLVD STE 410</td>\n",
              "      <td>Indianapolis</td>\n",
              "      <td>IN</td>\n",
              "      <td>46256</td>\n",
              "      <td>100.0</td>\n",
              "      <td>327213.0</td>\n",
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              "    <tr>\n",
              "      <th>1000007</th>\n",
              "      <td>AMERICAN GYPSUM - BERNALILLO (WALLBOARD) PLANT</td>\n",
              "      <td>327420</td>\n",
              "      <td>0</td>\n",
              "      <td>15755.340</td>\n",
              "      <td>Gypsum Product Manufacturing</td>\n",
              "      <td>1.100070e+11</td>\n",
              "      <td>2023.0</td>\n",
              "      <td>AMERICAN GYPSUM - BERNALILLO (WALLBOARD) PLANT</td>\n",
              "      <td>1000 N HILL RD</td>\n",
              "      <td>BERNALILLO</td>\n",
              "      <td>NM</td>\n",
              "      <td>87004.0</td>\n",
              "      <td>SANDOVAL COUNTY</td>\n",
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              "      <td>Dallas</td>\n",
              "      <td>TX</td>\n",
              "      <td>75225</td>\n",
              "      <td>100.0</td>\n",
              "      <td>327420.0</td>\n",
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              "<h2>2023's Suppliers:</h2>"
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              "                                                    Name 2022 NAICS Code  \\\n",
              "Facility                                                                   \n",
              "1013701                                  30-30 Gas Plant          211130   \n",
              "1002574                                       3M COMPANY          339999   \n",
              "1006665         3M Chemical Operations' Cordova Facility          325998   \n",
              "1004836   3M Chemical Operations' Cottage Grove Facility          325998   \n",
              "1004206         3M Chemical Operations' Decatur Facility          325211   \n",
              "\n",
              "          Emissions (tCO2e)  \\\n",
              "Facility                      \n",
              "1013701                 0.0   \n",
              "1002574                 0.0   \n",
              "1006665                 0.0   \n",
              "1004836                 0.0   \n",
              "1004206                 0.0   \n",
              "\n",
              "                                           2022 NAICS Title  \\\n",
              "Facility                                                      \n",
              "1013701                             Natural Gas Extraction    \n",
              "1002574              All Other Miscellaneous Manufacturing    \n",
              "1006665   All Other Miscellaneous Chemical Product and P...   \n",
              "1004836   All Other Miscellaneous Chemical Product and P...   \n",
              "1004206          Plastics Material and Resin Manufacturing    \n",
              "\n",
              "          FRS ID (FACILITY)  REPORTING YEAR  \\\n",
              "Facility                                      \n",
              "1013701        1.100709e+11            2023   \n",
              "1002574        1.100708e+11            2023   \n",
              "1006665        1.100139e+11            2023   \n",
              "1004836        1.100004e+11            2023   \n",
              "1004206        1.100004e+11            2023   \n",
              "\n",
              "                                           FACILITY NAME  \\\n",
              "Facility                                                   \n",
              "1013701                                  30-30 Gas Plant   \n",
              "1002574                                       3M COMPANY   \n",
              "1006665         3M Chemical Operations' Cordova Facility   \n",
              "1004836   3M Chemical Operations' Cottage Grove Facility   \n",
              "1004206         3M Chemical Operations' Decatur Facility   \n",
              "\n",
              "              FACILITY ADDRESS  FACILITY CITY FACILITY STATE  FACILITY ZIP  \\\n",
              "Facility                                                                     \n",
              "1013701           2300 FM 1622         Plains             TX         79355   \n",
              "1002574              3M CENTER        ST PAUL             MN         55144   \n",
              "1006665   22614 ROUTE 84 NORTH        CORDOVA             IL         61242   \n",
              "1004836    10746 Innovation Rd  Cottage Grove             MN         55016   \n",
              "1004206   1400 STATE DOCKS RD.        DECATUR             AL         35609   \n",
              "\n",
              "             FACILITY COUNTY           PARENT COMPANY NAME  \\\n",
              "Facility                                                     \n",
              "1013701        YOAKUM COUNTY  STAKEHOLDER GAS SERVICES LLC   \n",
              "1002574        RAMSEY COUNTY                         3M CO   \n",
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              "1004836    WASHINGTON COUNTY                         3M CO   \n",
              "1004206        MORGAN COUNTY                         3M CO   \n",
              "\n",
              "             PARENT CO. STREET ADDRESS PARENT CO. CITY PARENT CO. STATE  \\\n",
              "Facility                                                                  \n",
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              "         PARENT CO. ZIP  PARENT CO. PERCENT OWNERSHIP  FACILITY NAICS CODE  \n",
              "Facility                                                                    \n",
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              "type": "dataframe",
              "summary": "{\n  \"name\": \"display(join_suppliers\",\n  \"rows\": 5,\n  \"fields\": [\n    {\n      \"column\": \"Facility\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 4337,\n        \"min\": 1002574,\n        \"max\": 1013701,\n        \"num_unique_values\": 5,\n        \"samples\": [\n          1002574,\n          1004206,\n          1006665\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Name\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 5,\n        \"samples\": [\n          \"3M COMPANY\",\n          \"3M Chemical Operations' Decatur Facility\",\n          \"3M Chemical Operations' Cordova Facility\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"2022 NAICS Code\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 4,\n        \"samples\": [\n          \"339999\",\n          \"325211\",\n          \"211130\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Emissions (tCO2e)\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.0,\n        \"min\": 0.0,\n        \"max\": 0.0,\n        \"num_unique_values\": 1,\n        \"samples\": [\n          0.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"2022 NAICS Title\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 4,\n        \"samples\": [\n          \"All Other Miscellaneous Manufacturing \"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"FRS ID (FACILITY)\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 36561624.902818024,\n        \"min\": 110000367567.0,\n        \"max\": 110070931003.0,\n        \"num_unique_values\": 5,\n        \"samples\": [\n          110070834967.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"REPORTING YEAR\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0,\n        \"min\": 2023,\n        \"max\": 2023,\n        \"num_unique_values\": 1,\n        \"samples\": [\n          2023\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"FACILITY NAME\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 5,\n        \"samples\": [\n          \"3M COMPANY\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"FACILITY ADDRESS\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 5,\n        \"samples\": [\n          \"3M CENTER\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"FACILITY CITY\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 5,\n        \"samples\": [\n          \"ST PAUL\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"FACILITY STATE\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 4,\n        \"samples\": [\n          \"MN\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"FACILITY ZIP\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 15671,\n        \"min\": 35609,\n        \"max\": 79355,\n        \"num_unique_values\": 5,\n        \"samples\": [\n          55144\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"FACILITY COUNTY\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 5,\n        \"samples\": [\n          \"RAMSEY COUNTY\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"PARENT COMPANY NAME\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 2,\n        \"samples\": [\n          \"3M CO\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"PARENT CO. STREET ADDRESS\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 2,\n        \"samples\": [\n          \"3M Center\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"PARENT CO. CITY\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 2,\n        \"samples\": [\n          \"St. Paul\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"PARENT CO. STATE\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 2,\n        \"samples\": [\n          \"MN\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"PARENT CO. ZIP\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 2,\n        \"samples\": [\n          \"55144-1000\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"PARENT CO. PERCENT OWNERSHIP\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.0,\n        \"min\": 100.0,\n        \"max\": 100.0,\n        \"num_unique_values\": 1,\n        \"samples\": [\n          100.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"FACILITY NAICS CODE\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 53208.54642536291,\n        \"min\": 211130.0,\n        \"max\": 339999.0,\n        \"num_unique_values\": 4,\n        \"samples\": [\n          339999.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "EPgW1BragqPK"
      },
      "source": [
        "Here we'll show and remove the facilities/parents that have no reported emissions.\n",
        "\n",
        "We remove them because we don't want to end up having to convert their values to 0 and suggesting those facilities/companies have no actual emissions when they just have no *reported* emissions."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "ZMGUGvQjfivP",
        "outputId": "19fccbb5-3d6a-4d6a-caa4-4450d7833044"
      },
      "source": [
        "nas_e = join_emitters.loc[join_emitters[\"Emissions (tCO2e)\"] == 0]\n",
        "join_emitters = join_emitters.drop(nas_e.index)\n",
        "\n",
        "# For suppliers\n",
        "nas_s = join_suppliers.loc[join_suppliers[\"Emissions (tCO2e)\"]  == 0]\n",
        "join_suppliers = join_suppliers.drop(nas_s.index)\n",
        "\n",
        "# Show the first few lines of data from each\n",
        "display(HTML(\"<h2>\"+year+\"'s Direct Emitters:</h2>\"))\n",
        "display(nas_e.head(5))\n",
        "display(HTML(\"<h2>\"+year+\"'s Suppliers:</h2>\"))\n",
        "display(nas_s.head(5))"
      ],
      "execution_count": 15,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<IPython.core.display.HTML object>"
            ],
            "text/html": [
              "<h2>2023's Direct Emitters:</h2>"
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "                                    Name 2022 NAICS Code Primary NAICS Code  \\\n",
              "1000567           Ravenswood Steam Plant          221330                  0   \n",
              "1000707                          Meramec          221112                  0   \n",
              "1001022  Somerset Operating Compnay, LLC          221112                  0   \n",
              "1001419                        Escalante          221112                  0   \n",
              "1001515   Grand Tower Energy Center, LLC          221112                  0   \n",
              "\n",
              "         Emissions (tCO2e)                        2022 NAICS Title  \\\n",
              "1000567                0.0      Steam and Air-Conditioning Supply    \n",
              "1000707                0.0  Fossil Fuel Electric Power Generation    \n",
              "1001022                0.0  Fossil Fuel Electric Power Generation    \n",
              "1001419                0.0  Fossil Fuel Electric Power Generation    \n",
              "1001515                0.0  Fossil Fuel Electric Power Generation    \n",
              "\n",
              "         FRS ID (FACILITY)  REPORTING YEAR                    FACILITY NAME  \\\n",
              "1000567       1.100331e+11          2023.0           Ravenswood Steam Plant   \n",
              "1000707       1.100020e+11          2023.0                          Meramec   \n",
              "1001022       1.100003e+11          2023.0  Somerset Operating Compnay, LLC   \n",
              "1001419       1.100008e+11          2023.0                        Escalante   \n",
              "1001515       1.100420e+11          2023.0   Grand Tower Energy Center, LLC   \n",
              "\n",
              "              FACILITY ADDRESS     FACILITY CITY FACILITY STATE  FACILITY ZIP  \\\n",
              "1000567      38-54 Vernon Blvd  Long Island City             NY       11101.0   \n",
              "1000707           8200 FINE RD          ST LOUIS             MO       63129.0   \n",
              "1001022         7725 LAKE ROAD            BARKER             NY       14012.0   \n",
              "1001419         COUNTY ROAD 19           PREWITT             NM       87045.0   \n",
              "1001515  1820 POWER PLANT ROAD       GRAND TOWER             IL       62942.0   \n",
              "\n",
              "        FACILITY COUNTY                            PARENT COMPANY NAME  \\\n",
              "1000567          Queens                        CONSOLIDATED EDISON INC   \n",
              "1000707     Saint Louis                                    AMEREN CORP   \n",
              "1001022         Niagara                      HEOROT POWER HOLDINGS LLC   \n",
              "1001419        McKinley  TRI-STATE GENERATION & TRANSMISSION ASSOC INC   \n",
              "1001515         Jackson                           ROCKLAND CAPITAL LLC   \n",
              "\n",
              "             PARENT CO. STREET ADDRESS PARENT CO. CITY PARENT CO. STATE  \\\n",
              "1000567                 4 Irving Place        New York               NY   \n",
              "1000707           1901 Chouteau Avenue       St. Louis               MO   \n",
              "1001022               9 Federal Street          Easton               MD   \n",
              "1001419           1100 W. 116th Avenue     Westminster               CO   \n",
              "1001515  24 Waterway Avenue, Suite 400          Spring               TX   \n",
              "\n",
              "        PARENT CO. ZIP  PARENT CO. PERCENT OWNERSHIP  FACILITY NAICS CODE  \n",
              "1000567          10003                         100.0             221330.0  \n",
              "1000707          63101                         100.0             221112.0  \n",
              "1001022          21601                         100.0             221112.0  \n",
              "1001419          80234                         100.0             221112.0  \n",
              "1001515          77380                         100.0             221112.0  "
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-7affbea0-5107-4efd-8489-3cbb77be2e32\" class=\"colab-df-container\">\n",
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              "      <th>Name</th>\n",
              "      <th>2022 NAICS Code</th>\n",
              "      <th>Primary NAICS Code</th>\n",
              "      <th>Emissions (tCO2e)</th>\n",
              "      <th>2022 NAICS Title</th>\n",
              "      <th>FRS ID (FACILITY)</th>\n",
              "      <th>REPORTING YEAR</th>\n",
              "      <th>FACILITY NAME</th>\n",
              "      <th>FACILITY ADDRESS</th>\n",
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              "      <th>FACILITY STATE</th>\n",
              "      <th>FACILITY ZIP</th>\n",
              "      <th>FACILITY COUNTY</th>\n",
              "      <th>PARENT COMPANY NAME</th>\n",
              "      <th>PARENT CO. STREET ADDRESS</th>\n",
              "      <th>PARENT CO. CITY</th>\n",
              "      <th>PARENT CO. STATE</th>\n",
              "      <th>PARENT CO. ZIP</th>\n",
              "      <th>PARENT CO. PERCENT OWNERSHIP</th>\n",
              "      <th>FACILITY NAICS CODE</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>1000567</th>\n",
              "      <td>Ravenswood Steam Plant</td>\n",
              "      <td>221330</td>\n",
              "      <td>0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>Steam and Air-Conditioning Supply</td>\n",
              "      <td>1.100331e+11</td>\n",
              "      <td>2023.0</td>\n",
              "      <td>Ravenswood Steam Plant</td>\n",
              "      <td>38-54 Vernon Blvd</td>\n",
              "      <td>Long Island City</td>\n",
              "      <td>NY</td>\n",
              "      <td>11101.0</td>\n",
              "      <td>Queens</td>\n",
              "      <td>CONSOLIDATED EDISON INC</td>\n",
              "      <td>4 Irving Place</td>\n",
              "      <td>New York</td>\n",
              "      <td>NY</td>\n",
              "      <td>10003</td>\n",
              "      <td>100.0</td>\n",
              "      <td>221330.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1000707</th>\n",
              "      <td>Meramec</td>\n",
              "      <td>221112</td>\n",
              "      <td>0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>Fossil Fuel Electric Power Generation</td>\n",
              "      <td>1.100020e+11</td>\n",
              "      <td>2023.0</td>\n",
              "      <td>Meramec</td>\n",
              "      <td>8200 FINE RD</td>\n",
              "      <td>ST LOUIS</td>\n",
              "      <td>MO</td>\n",
              "      <td>63129.0</td>\n",
              "      <td>Saint Louis</td>\n",
              "      <td>AMEREN CORP</td>\n",
              "      <td>1901 Chouteau Avenue</td>\n",
              "      <td>St. Louis</td>\n",
              "      <td>MO</td>\n",
              "      <td>63101</td>\n",
              "      <td>100.0</td>\n",
              "      <td>221112.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1001022</th>\n",
              "      <td>Somerset Operating Compnay, LLC</td>\n",
              "      <td>221112</td>\n",
              "      <td>0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>Fossil Fuel Electric Power Generation</td>\n",
              "      <td>1.100003e+11</td>\n",
              "      <td>2023.0</td>\n",
              "      <td>Somerset Operating Compnay, LLC</td>\n",
              "      <td>7725 LAKE ROAD</td>\n",
              "      <td>BARKER</td>\n",
              "      <td>NY</td>\n",
              "      <td>14012.0</td>\n",
              "      <td>Niagara</td>\n",
              "      <td>HEOROT POWER HOLDINGS LLC</td>\n",
              "      <td>9 Federal Street</td>\n",
              "      <td>Easton</td>\n",
              "      <td>MD</td>\n",
              "      <td>21601</td>\n",
              "      <td>100.0</td>\n",
              "      <td>221112.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1001419</th>\n",
              "      <td>Escalante</td>\n",
              "      <td>221112</td>\n",
              "      <td>0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>Fossil Fuel Electric Power Generation</td>\n",
              "      <td>1.100008e+11</td>\n",
              "      <td>2023.0</td>\n",
              "      <td>Escalante</td>\n",
              "      <td>COUNTY ROAD 19</td>\n",
              "      <td>PREWITT</td>\n",
              "      <td>NM</td>\n",
              "      <td>87045.0</td>\n",
              "      <td>McKinley</td>\n",
              "      <td>TRI-STATE GENERATION &amp; TRANSMISSION ASSOC INC</td>\n",
              "      <td>1100 W. 116th Avenue</td>\n",
              "      <td>Westminster</td>\n",
              "      <td>CO</td>\n",
              "      <td>80234</td>\n",
              "      <td>100.0</td>\n",
              "      <td>221112.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1001515</th>\n",
              "      <td>Grand Tower Energy Center, LLC</td>\n",
              "      <td>221112</td>\n",
              "      <td>0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>Fossil Fuel Electric Power Generation</td>\n",
              "      <td>1.100420e+11</td>\n",
              "      <td>2023.0</td>\n",
              "      <td>Grand Tower Energy Center, LLC</td>\n",
              "      <td>1820 POWER PLANT ROAD</td>\n",
              "      <td>GRAND TOWER</td>\n",
              "      <td>IL</td>\n",
              "      <td>62942.0</td>\n",
              "      <td>Jackson</td>\n",
              "      <td>ROCKLAND CAPITAL LLC</td>\n",
              "      <td>24 Waterway Avenue, Suite 400</td>\n",
              "      <td>Spring</td>\n",
              "      <td>TX</td>\n",
              "      <td>77380</td>\n",
              "      <td>100.0</td>\n",
              "      <td>221112.0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
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              "          + ' to learn more about interactive tables.';\n",
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              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
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              "\n",
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              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
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              "    30% {\n",
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              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-d5381c8b-0bd4-4c51-a961-ea1ca987e7c4 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
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              "</div>\n",
              "\n",
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              "                                                    Name 2022 NAICS Code  \\\n",
              "Facility                                                                   \n",
              "1013701                                  30-30 Gas Plant          211130   \n",
              "1002574                                       3M COMPANY          339999   \n",
              "1006665         3M Chemical Operations' Cordova Facility          325998   \n",
              "1004836   3M Chemical Operations' Cottage Grove Facility          325998   \n",
              "1004206         3M Chemical Operations' Decatur Facility          325211   \n",
              "\n",
              "          Emissions (tCO2e)  \\\n",
              "Facility                      \n",
              "1013701                 0.0   \n",
              "1002574                 0.0   \n",
              "1006665                 0.0   \n",
              "1004836                 0.0   \n",
              "1004206                 0.0   \n",
              "\n",
              "                                           2022 NAICS Title  \\\n",
              "Facility                                                      \n",
              "1013701                             Natural Gas Extraction    \n",
              "1002574              All Other Miscellaneous Manufacturing    \n",
              "1006665   All Other Miscellaneous Chemical Product and P...   \n",
              "1004836   All Other Miscellaneous Chemical Product and P...   \n",
              "1004206          Plastics Material and Resin Manufacturing    \n",
              "\n",
              "          FRS ID (FACILITY)  REPORTING YEAR  \\\n",
              "Facility                                      \n",
              "1013701        1.100709e+11            2023   \n",
              "1002574        1.100708e+11            2023   \n",
              "1006665        1.100139e+11            2023   \n",
              "1004836        1.100004e+11            2023   \n",
              "1004206        1.100004e+11            2023   \n",
              "\n",
              "                                           FACILITY NAME  \\\n",
              "Facility                                                   \n",
              "1013701                                  30-30 Gas Plant   \n",
              "1002574                                       3M COMPANY   \n",
              "1006665         3M Chemical Operations' Cordova Facility   \n",
              "1004836   3M Chemical Operations' Cottage Grove Facility   \n",
              "1004206         3M Chemical Operations' Decatur Facility   \n",
              "\n",
              "              FACILITY ADDRESS  FACILITY CITY FACILITY STATE  FACILITY ZIP  \\\n",
              "Facility                                                                     \n",
              "1013701           2300 FM 1622         Plains             TX         79355   \n",
              "1002574              3M CENTER        ST PAUL             MN         55144   \n",
              "1006665   22614 ROUTE 84 NORTH        CORDOVA             IL         61242   \n",
              "1004836    10746 Innovation Rd  Cottage Grove             MN         55016   \n",
              "1004206   1400 STATE DOCKS RD.        DECATUR             AL         35609   \n",
              "\n",
              "             FACILITY COUNTY           PARENT COMPANY NAME  \\\n",
              "Facility                                                     \n",
              "1013701        YOAKUM COUNTY  STAKEHOLDER GAS SERVICES LLC   \n",
              "1002574        RAMSEY COUNTY                         3M CO   \n",
              "1006665   ROCK ISLAND COUNTY                         3M CO   \n",
              "1004836    WASHINGTON COUNTY                         3M CO   \n",
              "1004206        MORGAN COUNTY                         3M CO   \n",
              "\n",
              "             PARENT CO. STREET ADDRESS PARENT CO. CITY PARENT CO. STATE  \\\n",
              "Facility                                                                  \n",
              "1013701   19122 US HWY 281 N Suite 113     San Antonio               TX   \n",
              "1002574                      3M Center        St. Paul               MN   \n",
              "1006665                      3M Center        St. Paul               MN   \n",
              "1004836                      3M Center        St. Paul               MN   \n",
              "1004206                      3M Center        St. Paul               MN   \n",
              "\n",
              "         PARENT CO. ZIP  PARENT CO. PERCENT OWNERSHIP  FACILITY NAICS CODE  \n",
              "Facility                                                                    \n",
              "1013701           78258                         100.0             211130.0  \n",
              "1002574      55144-1000                         100.0             339999.0  \n",
              "1006665      55144-1000                         100.0             325998.0  \n",
              "1004836      55144-1000                         100.0             325998.0  \n",
              "1004206      55144-1000                         100.0             325211.0  "
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              "      <td>2300 FM 1622</td>\n",
              "      <td>Plains</td>\n",
              "      <td>TX</td>\n",
              "      <td>79355</td>\n",
              "      <td>YOAKUM COUNTY</td>\n",
              "      <td>STAKEHOLDER GAS SERVICES LLC</td>\n",
              "      <td>19122 US HWY 281 N Suite 113</td>\n",
              "      <td>San Antonio</td>\n",
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              "      <td>ST PAUL</td>\n",
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              "      <td>St. Paul</td>\n",
              "      <td>MN</td>\n",
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              "      <td>22614 ROUTE 84 NORTH</td>\n",
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              "      border: none;\n",
              "      border-radius: 50%;\n",
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              "      display: none;\n",
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              "      fill: #D2E3FC;\n",
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              "    [theme=dark] .colab-df-convert:hover {\n",
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              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
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              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
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              "  [theme=dark] .colab-df-quickchart {\n",
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              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
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              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
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              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
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              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-2fadaa8d-3641-4b8d-a048-62e7be89aa09 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "summary": "{\n  \"name\": \"display(nas_s\",\n  \"rows\": 5,\n  \"fields\": [\n    {\n      \"column\": \"Facility\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 4337,\n        \"min\": 1002574,\n        \"max\": 1013701,\n        \"num_unique_values\": 5,\n        \"samples\": [\n          1002574,\n          1004206,\n          1006665\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Name\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 5,\n        \"samples\": [\n          \"3M COMPANY\",\n          \"3M Chemical Operations' Decatur Facility\",\n          \"3M Chemical Operations' Cordova Facility\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"2022 NAICS Code\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 4,\n        \"samples\": [\n          \"339999\",\n          \"325211\",\n          \"211130\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Emissions (tCO2e)\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.0,\n        \"min\": 0.0,\n        \"max\": 0.0,\n        \"num_unique_values\": 1,\n        \"samples\": [\n          0.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"2022 NAICS Title\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 4,\n        \"samples\": [\n          \"All Other Miscellaneous Manufacturing \"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"FRS ID (FACILITY)\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 36561624.902818024,\n        \"min\": 110000367567.0,\n        \"max\": 110070931003.0,\n        \"num_unique_values\": 5,\n        \"samples\": [\n          110070834967.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"REPORTING YEAR\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0,\n        \"min\": 2023,\n        \"max\": 2023,\n        \"num_unique_values\": 1,\n        \"samples\": [\n          2023\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"FACILITY NAME\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 5,\n        \"samples\": [\n          \"3M COMPANY\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"FACILITY ADDRESS\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 5,\n        \"samples\": [\n          \"3M CENTER\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"FACILITY CITY\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 5,\n        \"samples\": [\n          \"ST PAUL\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"FACILITY STATE\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 4,\n        \"samples\": [\n          \"MN\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"FACILITY ZIP\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 15671,\n        \"min\": 35609,\n        \"max\": 79355,\n        \"num_unique_values\": 5,\n        \"samples\": [\n          55144\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"FACILITY COUNTY\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 5,\n        \"samples\": [\n          \"RAMSEY COUNTY\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"PARENT COMPANY NAME\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 2,\n        \"samples\": [\n          \"3M CO\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"PARENT CO. STREET ADDRESS\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 2,\n        \"samples\": [\n          \"3M Center\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"PARENT CO. CITY\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 2,\n        \"samples\": [\n          \"St. Paul\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"PARENT CO. STATE\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 2,\n        \"samples\": [\n          \"MN\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"PARENT CO. ZIP\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 2,\n        \"samples\": [\n          \"55144-1000\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"PARENT CO. PERCENT OWNERSHIP\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.0,\n        \"min\": 100.0,\n        \"max\": 100.0,\n        \"num_unique_values\": 1,\n        \"samples\": [\n          100.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"FACILITY NAICS CODE\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 53208.54642536291,\n        \"min\": 211130.0,\n        \"max\": 339999.0,\n        \"num_unique_values\": 4,\n        \"samples\": [\n          339999.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "-Jg0tThR-CPi"
      },
      "source": [
        "Finally, we'll calculate parent companies' emissions responsibility based on percent ownership.\n",
        "\n",
        "Some companies have less than 100% ownership of a given facility - they share ownership with other entities. We divide a facility's emissions between all owners according to their percent share."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "MoQ5K3778XAd",
        "outputId": "1f189ca3-ddd1-448a-c6fa-73f614f25a42"
      },
      "source": [
        "# PARENT SHARE = for each facility, and for each owner, how many of that facility's emissions was that owner responsible for based on percent ownership.\n",
        "join_emitters[\"PARENT EMISSIONS AMT\"] = join_emitters['Emissions (tCO2e)'] * join_emitters[\"PARENT CO. PERCENT OWNERSHIP\"] / 100\n",
        "join_suppliers[\"PARENT EMISSIONS AMT\"] = join_suppliers['Emissions (tCO2e)'] * join_suppliers[\"PARENT CO. PERCENT OWNERSHIP\"] / 100\n",
        "\n",
        "# Show the first few lines of data from each\n",
        "display(HTML(\"<h2>\"+year+\"'s Direct Emitters:</h2>\"))\n",
        "display(join_emitters.head(5))\n",
        "display(HTML(\"<h2>\"+year+\"'s Suppliers:</h2>\"))\n",
        "display(join_suppliers.head(5))"
      ],
      "execution_count": 16,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<IPython.core.display.HTML object>"
            ],
            "text/html": [
              "<h2>2023's Direct Emitters:</h2>"
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "                                                   Name 2022 NAICS Code  \\\n",
              "1000001                 PSE Ferndale Generating Station          221112   \n",
              "1000002                     Ardagh Glass Inc. (Dunkirk)          327213   \n",
              "1000003                   Ardagh Glass Inc. (Henderson)          327213   \n",
              "1000005                      Ardagh Glass Inc. (Madera)          327213   \n",
              "1000007  AMERICAN GYPSUM - BERNALILLO (WALLBOARD) PLANT          327420   \n",
              "\n",
              "        Primary NAICS Code  Emissions (tCO2e)  \\\n",
              "1000001                  0         715257.160   \n",
              "1000002                  0         116955.040   \n",
              "1000003                  0          77625.440   \n",
              "1000005                  0          71574.356   \n",
              "1000007                  0          15755.340   \n",
              "\n",
              "                               2022 NAICS Title  FRS ID (FACILITY)  \\\n",
              "1000001  Fossil Fuel Electric Power Generation        1.100005e+11   \n",
              "1000002          Glass Container Manufacturing        1.100412e+11   \n",
              "1000003          Glass Container Manufacturing        1.100015e+11   \n",
              "1000005          Glass Container Manufacturing        1.100005e+11   \n",
              "1000007            Gypsum Product Manufacturing       1.100070e+11   \n",
              "\n",
              "         REPORTING YEAR                                   FACILITY NAME  \\\n",
              "1000001          2023.0                 PSE Ferndale Generating Station   \n",
              "1000002          2023.0                     Ardagh Glass Inc. (Dunkirk)   \n",
              "1000003          2023.0                   Ardagh Glass Inc. (Henderson)   \n",
              "1000005          2023.0                      Ardagh Glass Inc. (Madera)   \n",
              "1000007          2023.0  AMERICAN GYPSUM - BERNALILLO (WALLBOARD) PLANT   \n",
              "\n",
              "                      FACILITY ADDRESS FACILITY CITY  ... FACILITY ZIP  \\\n",
              "1000001         5105 LAKE TERRELL ROAD      FERNDALE  ...      98248.0   \n",
              "1000002           524 E. CENTER STREET       DUNKIRK  ...      47336.0   \n",
              "1000003                 620 Facet Road     Henderson  ...      27537.0   \n",
              "1000005  24441 AVENUE 12 & ROAD 24 1/2        MADERA  ...      93637.0   \n",
              "1000007                 1000 N HILL RD    BERNALILLO  ...      87004.0   \n",
              "\n",
              "         FACILITY COUNTY  PARENT COMPANY NAME  \\\n",
              "1000001   WHATCOM COUNTY   PUGET HOLDINGS LLC   \n",
              "1000002       JAY COUNTY     ARDAGH GLASS INC   \n",
              "1000003     VANCE COUNTY     ARDAGH GLASS INC   \n",
              "1000005    MADERA COUNTY     ARDAGH GLASS INC   \n",
              "1000007  SANDOVAL COUNTY  EAGLE MATERIALS INC   \n",
              "\n",
              "                PARENT CO. STREET ADDRESS PARENT CO. CITY PARENT CO. STATE  \\\n",
              "1000001                      Po Box 97034        Bellevue               WA   \n",
              "1000002  10194 Crosspoint Blvd, Suite 410    Indianapolis               IN   \n",
              "1000003     10194 CROSSPOINT BLVD STE 410    Indianapolis               IN   \n",
              "1000005     10194 CROSSPOINT BLVD STE 410    Indianapolis               IN   \n",
              "1000007    5960 Berkshire Lane, Suite 900          Dallas               TX   \n",
              "\n",
              "        PARENT CO. ZIP PARENT CO. PERCENT OWNERSHIP  FACILITY NAICS CODE  \\\n",
              "1000001          98009                        100.0             221112.0   \n",
              "1000002          46256                        100.0             327213.0   \n",
              "1000003          46256                        100.0             327213.0   \n",
              "1000005          46256                        100.0             327213.0   \n",
              "1000007          75225                        100.0             327420.0   \n",
              "\n",
              "         PARENT EMISSIONS AMT  \n",
              "1000001            715257.160  \n",
              "1000002            116955.040  \n",
              "1000003             77625.440  \n",
              "1000005             71574.356  \n",
              "1000007             15755.340  \n",
              "\n",
              "[5 rows x 21 columns]"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-795b75f6-67f9-4224-bfa8-212abaa0ded9\" class=\"colab-df-container\">\n",
              "    <div>\n",
              "<style scoped>\n",
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              "        vertical-align: middle;\n",
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              "    .dataframe tbody tr th {\n",
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              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Name</th>\n",
              "      <th>2022 NAICS Code</th>\n",
              "      <th>Primary NAICS Code</th>\n",
              "      <th>Emissions (tCO2e)</th>\n",
              "      <th>2022 NAICS Title</th>\n",
              "      <th>FRS ID (FACILITY)</th>\n",
              "      <th>REPORTING YEAR</th>\n",
              "      <th>FACILITY NAME</th>\n",
              "      <th>FACILITY ADDRESS</th>\n",
              "      <th>FACILITY CITY</th>\n",
              "      <th>...</th>\n",
              "      <th>FACILITY ZIP</th>\n",
              "      <th>FACILITY COUNTY</th>\n",
              "      <th>PARENT COMPANY NAME</th>\n",
              "      <th>PARENT CO. STREET ADDRESS</th>\n",
              "      <th>PARENT CO. CITY</th>\n",
              "      <th>PARENT CO. STATE</th>\n",
              "      <th>PARENT CO. ZIP</th>\n",
              "      <th>PARENT CO. PERCENT OWNERSHIP</th>\n",
              "      <th>FACILITY NAICS CODE</th>\n",
              "      <th>PARENT EMISSIONS AMT</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>1000001</th>\n",
              "      <td>PSE Ferndale Generating Station</td>\n",
              "      <td>221112</td>\n",
              "      <td>0</td>\n",
              "      <td>715257.160</td>\n",
              "      <td>Fossil Fuel Electric Power Generation</td>\n",
              "      <td>1.100005e+11</td>\n",
              "      <td>2023.0</td>\n",
              "      <td>PSE Ferndale Generating Station</td>\n",
              "      <td>5105 LAKE TERRELL ROAD</td>\n",
              "      <td>FERNDALE</td>\n",
              "      <td>...</td>\n",
              "      <td>98248.0</td>\n",
              "      <td>WHATCOM COUNTY</td>\n",
              "      <td>PUGET HOLDINGS LLC</td>\n",
              "      <td>Po Box 97034</td>\n",
              "      <td>Bellevue</td>\n",
              "      <td>WA</td>\n",
              "      <td>98009</td>\n",
              "      <td>100.0</td>\n",
              "      <td>221112.0</td>\n",
              "      <td>715257.160</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1000002</th>\n",
              "      <td>Ardagh Glass Inc. (Dunkirk)</td>\n",
              "      <td>327213</td>\n",
              "      <td>0</td>\n",
              "      <td>116955.040</td>\n",
              "      <td>Glass Container Manufacturing</td>\n",
              "      <td>1.100412e+11</td>\n",
              "      <td>2023.0</td>\n",
              "      <td>Ardagh Glass Inc. (Dunkirk)</td>\n",
              "      <td>524 E. CENTER STREET</td>\n",
              "      <td>DUNKIRK</td>\n",
              "      <td>...</td>\n",
              "      <td>47336.0</td>\n",
              "      <td>JAY COUNTY</td>\n",
              "      <td>ARDAGH GLASS INC</td>\n",
              "      <td>10194 Crosspoint Blvd, Suite 410</td>\n",
              "      <td>Indianapolis</td>\n",
              "      <td>IN</td>\n",
              "      <td>46256</td>\n",
              "      <td>100.0</td>\n",
              "      <td>327213.0</td>\n",
              "      <td>116955.040</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1000003</th>\n",
              "      <td>Ardagh Glass Inc. (Henderson)</td>\n",
              "      <td>327213</td>\n",
              "      <td>0</td>\n",
              "      <td>77625.440</td>\n",
              "      <td>Glass Container Manufacturing</td>\n",
              "      <td>1.100015e+11</td>\n",
              "      <td>2023.0</td>\n",
              "      <td>Ardagh Glass Inc. (Henderson)</td>\n",
              "      <td>620 Facet Road</td>\n",
              "      <td>Henderson</td>\n",
              "      <td>...</td>\n",
              "      <td>27537.0</td>\n",
              "      <td>VANCE COUNTY</td>\n",
              "      <td>ARDAGH GLASS INC</td>\n",
              "      <td>10194 CROSSPOINT BLVD STE 410</td>\n",
              "      <td>Indianapolis</td>\n",
              "      <td>IN</td>\n",
              "      <td>46256</td>\n",
              "      <td>100.0</td>\n",
              "      <td>327213.0</td>\n",
              "      <td>77625.440</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1000005</th>\n",
              "      <td>Ardagh Glass Inc. (Madera)</td>\n",
              "      <td>327213</td>\n",
              "      <td>0</td>\n",
              "      <td>71574.356</td>\n",
              "      <td>Glass Container Manufacturing</td>\n",
              "      <td>1.100005e+11</td>\n",
              "      <td>2023.0</td>\n",
              "      <td>Ardagh Glass Inc. (Madera)</td>\n",
              "      <td>24441 AVENUE 12 &amp; ROAD 24 1/2</td>\n",
              "      <td>MADERA</td>\n",
              "      <td>...</td>\n",
              "      <td>93637.0</td>\n",
              "      <td>MADERA COUNTY</td>\n",
              "      <td>ARDAGH GLASS INC</td>\n",
              "      <td>10194 CROSSPOINT BLVD STE 410</td>\n",
              "      <td>Indianapolis</td>\n",
              "      <td>IN</td>\n",
              "      <td>46256</td>\n",
              "      <td>100.0</td>\n",
              "      <td>327213.0</td>\n",
              "      <td>71574.356</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1000007</th>\n",
              "      <td>AMERICAN GYPSUM - BERNALILLO (WALLBOARD) PLANT</td>\n",
              "      <td>327420</td>\n",
              "      <td>0</td>\n",
              "      <td>15755.340</td>\n",
              "      <td>Gypsum Product Manufacturing</td>\n",
              "      <td>1.100070e+11</td>\n",
              "      <td>2023.0</td>\n",
              "      <td>AMERICAN GYPSUM - BERNALILLO (WALLBOARD) PLANT</td>\n",
              "      <td>1000 N HILL RD</td>\n",
              "      <td>BERNALILLO</td>\n",
              "      <td>...</td>\n",
              "      <td>87004.0</td>\n",
              "      <td>SANDOVAL COUNTY</td>\n",
              "      <td>EAGLE MATERIALS INC</td>\n",
              "      <td>5960 Berkshire Lane, Suite 900</td>\n",
              "      <td>Dallas</td>\n",
              "      <td>TX</td>\n",
              "      <td>75225</td>\n",
              "      <td>100.0</td>\n",
              "      <td>327420.0</td>\n",
              "      <td>15755.340</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>5 rows × 21 columns</p>\n",
              "</div>\n",
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              "\n",
              "  <div class=\"colab-df-container\">\n",
              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-795b75f6-67f9-4224-bfa8-212abaa0ded9')\"\n",
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              "            style=\"display:none;\">\n",
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              "<h2>2023's Suppliers:</h2>"
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              "                                                 Name 2022 NAICS Code  \\\n",
              "Facility                                                                \n",
              "1007622               ALON REFINING KROTZ SPRINGS INC          324110   \n",
              "1005590                   AMERICAN REFINING GROUP INC          324110   \n",
              "1010594   AMERICAN REFINING GROUP INC - IMPORT/EXPORT          324110   \n",
              "1014835                   ARAMCO TRADING AMERICAS LLC          424720   \n",
              "1004285                              AUSTIN UTILITIES          221210   \n",
              "\n",
              "          Emissions (tCO2e)  \\\n",
              "Facility                      \n",
              "1007622        1.114821e+07   \n",
              "1005590        1.238886e+06   \n",
              "1010594        8.644564e+04   \n",
              "1014835        1.760334e+07   \n",
              "1004285        1.386906e+05   \n",
              "\n",
              "                                           2022 NAICS Title  \\\n",
              "Facility                                                      \n",
              "1007622                                Petroleum Refineries   \n",
              "1005590                                Petroleum Refineries   \n",
              "1010594                                Petroleum Refineries   \n",
              "1014835   Petroleum and Petroleum Products Merchant Whol...   \n",
              "1004285                           Natural Gas Distribution    \n",
              "\n",
              "          FRS ID (FACILITY)  REPORTING YEAR  \\\n",
              "Facility                                      \n",
              "1007622        1.100410e+11            2023   \n",
              "1005590        1.100003e+11            2023   \n",
              "1010594                 NaN            2023   \n",
              "1014835                 NaN            2023   \n",
              "1004285        1.100712e+11            2023   \n",
              "\n",
              "                                        FACILITY NAME  \\\n",
              "Facility                                                \n",
              "1007622               ALON REFINING KROTZ SPRINGS INC   \n",
              "1005590                   AMERICAN REFINING GROUP INC   \n",
              "1010594   AMERICAN REFINING GROUP INC - IMPORT/EXPORT   \n",
              "1014835                   ARAMCO TRADING AMERICAS LLC   \n",
              "1004285                              AUSTIN UTILITIES   \n",
              "\n",
              "                 FACILITY ADDRESS  FACILITY CITY FACILITY STATE  FACILITY ZIP  \\\n",
              "Facility                                                                        \n",
              "1007622           356 S. LEVEE RD  KROTZ SPRINGS             LA         70750   \n",
              "1005590   77 NORTH KENDALL AVENUE       BRADFORD             PA         16701   \n",
              "1010594      77 NORTH KENDALL AVE       BRADFORD             PA         16701   \n",
              "1014835         500 DALLAS STREET        HOUSTON             TX         77002   \n",
              "1004285           1908 14th St NE         AUSTIN             MN         55912   \n",
              "\n",
              "            FACILITY COUNTY          PARENT COMPANY NAME  \\\n",
              "Facility                                                   \n",
              "1007622   ST. LANDRY PARISH        DELEK US HOLDINGS INC   \n",
              "1005590       MCKEAN COUNTY  AMERICAN REFINING GROUP INC   \n",
              "1010594                 NaN  AMERICAN REFINING GROUP INC   \n",
              "1014835                 NaN  ARAMCO TRADING AMERICAS LLC   \n",
              "1004285        MOWER COUNTY     CITY OF AUSTIN MINNESOTA   \n",
              "\n",
              "                           PARENT CO. STREET ADDRESS    PARENT CO. CITY  \\\n",
              "Facility                                                                  \n",
              "1007622             310 Seven Springs Way, Suite 500          Brentwood   \n",
              "1005590   100 Four Falls Corporate Center, Suite 215  West Conshohocken   \n",
              "1010594   100 Four Falls Corporate Center, Suite 215  West Conshohocken   \n",
              "1014835                            500 Dallas Street            Houston   \n",
              "1004285                         400 Fourth Street Ne             Austin   \n",
              "\n",
              "         PARENT CO. STATE PARENT CO. ZIP  PARENT CO. PERCENT OWNERSHIP  \\\n",
              "Facility                                                                 \n",
              "1007622                TN          37027                         100.0   \n",
              "1005590                PA     19428-2960                         100.0   \n",
              "1010594                PA     19428-2960                         100.0   \n",
              "1014835                TX          77002                         100.0   \n",
              "1004285                MN          55912                         100.0   \n",
              "\n",
              "          FACILITY NAICS CODE  PARENT EMISSIONS AMT  \n",
              "Facility                                             \n",
              "1007622              324110.0          1.114821e+07  \n",
              "1005590              324110.0          1.238886e+06  \n",
              "1010594              324110.0          8.644564e+04  \n",
              "1014835              424720.0          1.760334e+07  \n",
              "1004285              221210.0          1.386906e+05  "
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              "      <td>BRADFORD</td>\n",
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              "      <td>MCKEAN COUNTY</td>\n",
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              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
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              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
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              "        await google.colab.output.renderOutput(dataTable, element);\n",
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              "    </g>\n",
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              "  </button>\n",
              "\n",
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              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
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              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
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              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
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              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
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              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
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              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
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            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "summary": "{\n  \"name\": \"display(join_suppliers\",\n  \"rows\": 5,\n  \"fields\": [\n    {\n      \"column\": \"Facility\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 4227,\n        \"min\": 1004285,\n        \"max\": 1014835,\n        \"num_unique_values\": 5,\n        \"samples\": [\n          1005590,\n          1004285,\n          1010594\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Name\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 5,\n        \"samples\": [\n          \"AMERICAN REFINING GROUP INC\",\n          \"AUSTIN UTILITIES\",\n          \"AMERICAN REFINING GROUP INC - IMPORT/EXPORT\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"2022 NAICS Code\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 3,\n        \"samples\": [\n          \"324110\",\n          \"424720\",\n          \"221210\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Emissions (tCO2e)\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 7954961.392127887,\n        \"min\": 86445.6416581,\n        \"max\": 17603343.6,\n        \"num_unique_values\": 5,\n        \"samples\": [\n          1238886.1587232,\n          138690.6,\n          86445.6416581\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"2022 NAICS Title\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 3,\n        \"samples\": [\n          \"Petroleum Refineries\",\n          \"Petroleum and Petroleum Products Merchant Wholesalers (except Bulk Stations and Terminals) \",\n          \"Natural Gas Distribution \"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"FRS ID (FACILITY)\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 35544365.447892174,\n        \"min\": 110000332220.0,\n        \"max\": 110071159216.0,\n        \"num_unique_values\": 3,\n        \"samples\": [\n          110041023807.0,\n          110000332220.0,\n          110071159216.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"REPORTING YEAR\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0,\n        \"min\": 2023,\n        \"max\": 2023,\n        \"num_unique_values\": 1,\n        \"samples\": [\n          2023\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"FACILITY NAME\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 5,\n        \"samples\": [\n          \"AMERICAN REFINING GROUP INC\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"FACILITY ADDRESS\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 5,\n        \"samples\": [\n          \"77 NORTH KENDALL AVENUE\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"FACILITY CITY\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 4,\n        \"samples\": [\n          \"BRADFORD\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"FACILITY STATE\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 4,\n        \"samples\": [\n          \"PA\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"FACILITY ZIP\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 29063,\n        \"min\": 16701,\n        \"max\": 77002,\n        \"num_unique_values\": 4,\n        \"samples\": [\n          16701\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"FACILITY COUNTY\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 3,\n        \"samples\": [\n          \"ST. LANDRY PARISH\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"PARENT COMPANY NAME\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 4,\n        \"samples\": [\n          \"AMERICAN REFINING GROUP INC\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"PARENT CO. STREET ADDRESS\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 4,\n        \"samples\": [\n          \"100 Four Falls Corporate Center, Suite 215\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"PARENT CO. CITY\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 4,\n        \"samples\": [\n          \"West Conshohocken\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"PARENT CO. STATE\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 4,\n        \"samples\": [\n          \"PA\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"PARENT CO. ZIP\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 4,\n        \"samples\": [\n          \"19428-2960\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"PARENT CO. PERCENT OWNERSHIP\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.0,\n        \"min\": 100.0,\n        \"max\": 100.0,\n        \"num_unique_values\": 1,\n        \"samples\": [\n          100.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"FACILITY NAICS CODE\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 71954.3836051703,\n        \"min\": 221210.0,\n        \"max\": 424720.0,\n        \"num_unique_values\": 3,\n        \"samples\": [\n          324110.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"PARENT EMISSIONS AMT\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 7954961.392127888,\n        \"min\": 86445.64165810001,\n        \"max\": 17603343.6,\n        \"num_unique_values\": 5,\n        \"samples\": [\n          1238886.1587232\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "CbNZMgyLALXQ"
      },
      "source": [
        "In this last step of data preparation, we summarize emissions by parent company across facilities.\n",
        "\n",
        "A major assumption here is that parent company names are standardized in EPA's database.\n",
        "\n",
        "We show the top ten parent companies in terms of emissions.\n",
        "\n",
        "Re-run the cell below and change `number = 10` to some other number than 10 to see more of the ranking."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 867
        },
        "id": "Ez25AhFp-Luj",
        "outputId": "36ef7612-b651-4b78-fd01-d0820878e42f"
      },
      "source": [
        "summary_e = join_emitters.groupby(\"PARENT COMPANY NAME\")[[\"PARENT EMISSIONS AMT\"]].agg(['sum', 'count'])\n",
        "summary_s = join_suppliers.groupby(\"PARENT COMPANY NAME\")[[\"PARENT EMISSIONS AMT\"]].agg(['sum', 'count'])\n",
        "\n",
        "number = 10\n",
        "\n",
        "display(HTML(\"<h2>\"+year+\"'s Direct Emitters:</h2>\"))\n",
        "display(summary_e[\"PARENT EMISSIONS AMT\"].rename(columns={'sum': 'Emissions (tC02e)', 'count': '# of facilities'}).nlargest(number, \"Emissions (tC02e)\").style.format({\"Emissions (tC02e)\": '{:,.0f}'}))\n",
        "display(HTML(\"<h2>\"+year+\"'s Suppliers:</h2>\"))\n",
        "display(summary_s[\"PARENT EMISSIONS AMT\"].rename(columns={'sum': 'Emissions (tC02e)', 'count': '# of facilities'}).nlargest(number, \"Emissions (tC02e)\").style.format({\"Emissions (tC02e)\": '{:,.0f}'}))"
      ],
      "execution_count": 17,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<IPython.core.display.HTML object>"
            ],
            "text/html": [
              "<h2>2023's Direct Emitters:</h2>"
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<pandas.io.formats.style.Styler at 0x785d188ee770>"
            ],
            "text/html": [
              "<style type=\"text/css\">\n",
              "</style>\n",
              "<table id=\"T_de462\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr>\n",
              "      <th class=\"blank level0\" >&nbsp;</th>\n",
              "      <th id=\"T_de462_level0_col0\" class=\"col_heading level0 col0\" >Emissions (tC02e)</th>\n",
              "      <th id=\"T_de462_level0_col1\" class=\"col_heading level0 col1\" ># of facilities</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th class=\"index_name level0\" >PARENT COMPANY NAME</th>\n",
              "      <th class=\"blank col0\" >&nbsp;</th>\n",
              "      <th class=\"blank col1\" >&nbsp;</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th id=\"T_de462_level0_row0\" class=\"row_heading level0 row0\" >VISTRA CORP</th>\n",
              "      <td id=\"T_de462_row0_col0\" class=\"data row0 col0\" >86,320,993</td>\n",
              "      <td id=\"T_de462_row0_col1\" class=\"data row0 col1\" >40</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_de462_level0_row1\" class=\"row_heading level0 row1\" >THE SOUTHERN CO</th>\n",
              "      <td id=\"T_de462_row1_col0\" class=\"data row1 col0\" >76,718,005</td>\n",
              "      <td id=\"T_de462_row1_col1\" class=\"data row1 col1\" >54</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_de462_level0_row2\" class=\"row_heading level0 row2\" >DUKE ENERGY CORP</th>\n",
              "      <td id=\"T_de462_row2_col0\" class=\"data row2 col0\" >72,776,123</td>\n",
              "      <td id=\"T_de462_row2_col1\" class=\"data row2 col1\" >49</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_de462_level0_row3\" class=\"row_heading level0 row3\" >BERKSHIRE HATHAWAY INC</th>\n",
              "      <td id=\"T_de462_row3_col0\" class=\"data row3 col0\" >53,055,963</td>\n",
              "      <td id=\"T_de462_row3_col1\" class=\"data row3 col1\" >128</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_de462_level0_row4\" class=\"row_heading level0 row4\" >AMERICAN ELECTRIC POWER CO INC</th>\n",
              "      <td id=\"T_de462_row4_col0\" class=\"data row4 col0\" >48,971,843</td>\n",
              "      <td id=\"T_de462_row4_col1\" class=\"data row4 col1\" >26</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_de462_level0_row5\" class=\"row_heading level0 row5\" >CPN MANAGEMENT LP</th>\n",
              "      <td id=\"T_de462_row5_col0\" class=\"data row5 col0\" >47,703,517</td>\n",
              "      <td id=\"T_de462_row5_col1\" class=\"data row5 col1\" >44</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_de462_level0_row6\" class=\"row_heading level0 row6\" >NEXTERA ENERGY INC</th>\n",
              "      <td id=\"T_de462_row6_col0\" class=\"data row6 col0\" >42,867,570</td>\n",
              "      <td id=\"T_de462_row6_col1\" class=\"data row6 col1\" >27</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_de462_level0_row7\" class=\"row_heading level0 row7\" >ENTERGY CORP</th>\n",
              "      <td id=\"T_de462_row7_col0\" class=\"data row7 col0\" >38,142,109</td>\n",
              "      <td id=\"T_de462_row7_col1\" class=\"data row7 col1\" >30</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_de462_level0_row8\" class=\"row_heading level0 row8\" >EXXON MOBIL CORP</th>\n",
              "      <td id=\"T_de462_row8_col0\" class=\"data row8 col0\" >37,882,422</td>\n",
              "      <td id=\"T_de462_row8_col1\" class=\"data row8 col1\" >59</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_de462_level0_row9\" class=\"row_heading level0 row9\" >XCEL ENERGY INC</th>\n",
              "      <td id=\"T_de462_row9_col0\" class=\"data row9 col0\" >36,005,568</td>\n",
              "      <td id=\"T_de462_row9_col1\" class=\"data row9 col1\" >36</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n"
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<IPython.core.display.HTML object>"
            ],
            "text/html": [
              "<h2>2023's Suppliers:</h2>"
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<pandas.io.formats.style.Styler at 0x785cfe7f2170>"
            ],
            "text/html": [
              "<style type=\"text/css\">\n",
              "</style>\n",
              "<table id=\"T_bde23\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr>\n",
              "      <th class=\"blank level0\" >&nbsp;</th>\n",
              "      <th id=\"T_bde23_level0_col0\" class=\"col_heading level0 col0\" >Emissions (tC02e)</th>\n",
              "      <th id=\"T_bde23_level0_col1\" class=\"col_heading level0 col1\" ># of facilities</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th class=\"index_name level0\" >PARENT COMPANY NAME</th>\n",
              "      <th class=\"blank col0\" >&nbsp;</th>\n",
              "      <th class=\"blank col1\" >&nbsp;</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th id=\"T_bde23_level0_row0\" class=\"row_heading level0 row0\" >VALERO ENERGY CORP</th>\n",
              "      <td id=\"T_bde23_row0_col0\" class=\"data row0 col0\" >511,680,742</td>\n",
              "      <td id=\"T_bde23_row0_col1\" class=\"data row0 col1\" >15</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_bde23_level0_row1\" class=\"row_heading level0 row1\" >MARATHON PETROLEUM CORP</th>\n",
              "      <td id=\"T_bde23_row1_col0\" class=\"data row1 col0\" >437,065,133</td>\n",
              "      <td id=\"T_bde23_row1_col1\" class=\"data row1 col1\" >17</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_bde23_level0_row2\" class=\"row_heading level0 row2\" >PHILLIPS 66</th>\n",
              "      <td id=\"T_bde23_row2_col0\" class=\"data row2 col0\" >346,616,539</td>\n",
              "      <td id=\"T_bde23_row2_col1\" class=\"data row2 col1\" >19</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_bde23_level0_row3\" class=\"row_heading level0 row3\" >EXXON MOBIL CORP</th>\n",
              "      <td id=\"T_bde23_row3_col0\" class=\"data row3 col0\" >341,759,108</td>\n",
              "      <td id=\"T_bde23_row3_col1\" class=\"data row3 col1\" >10</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_bde23_level0_row4\" class=\"row_heading level0 row4\" >ENTERPRISE PRODUCTS PARTNERS LP</th>\n",
              "      <td id=\"T_bde23_row4_col0\" class=\"data row4 col0\" >196,807,286</td>\n",
              "      <td id=\"T_bde23_row4_col1\" class=\"data row4 col1\" >17</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_bde23_level0_row5\" class=\"row_heading level0 row5\" >CHEVRON CORP</th>\n",
              "      <td id=\"T_bde23_row5_col0\" class=\"data row5 col0\" >164,470,509</td>\n",
              "      <td id=\"T_bde23_row5_col1\" class=\"data row5 col1\" >5</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_bde23_level0_row6\" class=\"row_heading level0 row6\" >BP AMERICA INC</th>\n",
              "      <td id=\"T_bde23_row6_col0\" class=\"data row6 col0\" >142,190,500</td>\n",
              "      <td id=\"T_bde23_row6_col1\" class=\"data row6 col1\" >5</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_bde23_level0_row7\" class=\"row_heading level0 row7\" >PDV AMERICA INC</th>\n",
              "      <td id=\"T_bde23_row7_col0\" class=\"data row7 col0\" >122,786,461</td>\n",
              "      <td id=\"T_bde23_row7_col1\" class=\"data row7 col1\" >5</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_bde23_level0_row8\" class=\"row_heading level0 row8\" >PBF ENERGY INC</th>\n",
              "      <td id=\"T_bde23_row8_col0\" class=\"data row8 col0\" >107,787,144</td>\n",
              "      <td id=\"T_bde23_row8_col1\" class=\"data row8 col1\" >7</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_bde23_level0_row9\" class=\"row_heading level0 row9\" >KOCH INDUSTRIES INC</th>\n",
              "      <td id=\"T_bde23_row9_col0\" class=\"data row9 col0\" >104,440,178</td>\n",
              "      <td id=\"T_bde23_row9_col1\" class=\"data row9 col1\" >4</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n"
            ]
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "ysSU02-eXquQ"
      },
      "source": [
        "Export this processed data, if you like, by running the cell below.\n"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "8614781d-2b51-4f85-da1f-052a9a26e030",
        "id": "E8iynbZTXquQ"
      },
      "source": [
        "if ( summary_e is not None):\n",
        "  summary_e.to_csv( 'ghgdata_directemitters_companies_'+year+'.csv' )\n",
        "if ( summary_s is not None):\n",
        "  summary_s.to_csv( 'ghgdata_suppliers_companies_'+year+'.csv' )\n",
        "print(\"Exported! Check the 'Files' folder in Colab to download it.\")"
      ],
      "execution_count": 18,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Exported! Check the 'Files' folder in Colab to download it.\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "nPE9BUQET1Lb"
      },
      "source": [
        "What share of all US emissions covered under EPA's GHGRP do these corporations account for? (See similar measurements done for the entire world and for several decades: https://climateaccountability.org/carbonmajors_dataset2020.html)"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 149
        },
        "id": "SJDwMfshUD8C",
        "outputId": "842f0069-ef01-44fb-9a4c-3913cb2837da"
      },
      "source": [
        "summary_e = join_emitters.groupby(\"PARENT COMPANY NAME\")[[\"PARENT EMISSIONS AMT\"]].sum()\n",
        "summary_s = join_suppliers.groupby(\"PARENT COMPANY NAME\")[[\"PARENT EMISSIONS AMT\"]].sum()\n",
        "\n",
        "number = 10\n",
        "\n",
        "result_e = (summary_e.nlargest(number, \"PARENT EMISSIONS AMT\").sum() / summary_e[\"PARENT EMISSIONS AMT\"].sum()) * 100\n",
        "result_s = (summary_s.nlargest(number, \"PARENT EMISSIONS AMT\").sum() / summary_s[\"PARENT EMISSIONS AMT\"].sum()) * 100\n",
        "\n",
        "display(HTML(\"<h2>\"+year+\"'s Direct Emitters:</h2>\"))\n",
        "display('The top '+str(number)+' companies account for {:,.0f}'.format(result_e[\"PARENT EMISSIONS AMT\"]) + \"% of emissions\")\n",
        "display(HTML(\"<h2>\"+year+\"'s Suppliers:</h2>\"))\n",
        "display('The top '+str(number)+' companies account for {:,.0f}'.format(result_s[\"PARENT EMISSIONS AMT\"]) + \"% of emissions\")"
      ],
      "execution_count": 19,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<IPython.core.display.HTML object>"
            ],
            "text/html": [
              "<h2>2023's Direct Emitters:</h2>"
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "'The top 10 companies account for 21% of emissions'"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "string"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<IPython.core.display.HTML object>"
            ],
            "text/html": [
              "<h2>2023's Suppliers:</h2>"
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "'The top 10 companies account for 53% of emissions'"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "string"
            }
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "UlhSD793pZNp"
      },
      "source": [
        "How many companies account for ~50% of US emissions reported under GHGRP? By adjusting the number in `nlargest(#)` we can see that the 50 largest companies account for ~50% of reported direct emissions while just the 10 largest suppliers account for ~50% of emissions."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 149
        },
        "id": "nS0ZEbRPpgQE",
        "outputId": "3e808d62-b62a-4fd0-b171-5b508eff165d"
      },
      "source": [
        "result_e = (summary_e.nlargest(50, \"PARENT EMISSIONS AMT\").sum() / summary_e[\"PARENT EMISSIONS AMT\"].sum()) * 100\n",
        "result_s = (summary_s.nlargest(10, \"PARENT EMISSIONS AMT\").sum() / summary_s[\"PARENT EMISSIONS AMT\"].sum()) * 100\n",
        "\n",
        "display(HTML(\"<h2>\"+year+\"'s Direct Emitters:</h2>\"))\n",
        "display('The top 50 companies account for {:,.0f}'.format(result_e[\"PARENT EMISSIONS AMT\"]) + \"% of emissions\")\n",
        "display(HTML(\"<h2>\"+year+\"'s Suppliers:</h2>\"))\n",
        "display('The top 10 companies account for {:,.0f}'.format(result_s[\"PARENT EMISSIONS AMT\"]) + \"% of emissions\")"
      ],
      "execution_count": 20,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<IPython.core.display.HTML object>"
            ],
            "text/html": [
              "<h2>2023's Direct Emitters:</h2>"
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "'The top 50 companies account for 49% of emissions'"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "string"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<IPython.core.display.HTML object>"
            ],
            "text/html": [
              "<h2>2023's Suppliers:</h2>"
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "'The top 10 companies account for 53% of emissions'"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "string"
            }
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Analyze\n",
        "In this section, we'll start analying the data on corporate emissions. First, by looking at specific states and even counties. Then, nationwide."
      ],
      "metadata": {
        "id": "fzVGyUHD5vWG"
      }
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "xLiq5b78SiKg"
      },
      "source": [
        "## State and County-Level Trends\n",
        "\n",
        "We'll illustrate the top polluting companies based on owned facilities within a specific state or even county.\n",
        "\n",
        "First, choose whether to focus on direct emitters or suppliers."
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "t = widgets.RadioButtons(\n",
        "    options=['Emitters', 'Suppliers'],\n",
        "    description='Type: ',\n",
        "    disabled=False\n",
        ")\n",
        "display(t)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 81,
          "referenced_widgets": [
            "003b8e5e52294ce7bd03219e368d98b5",
            "9833cbbffbcc4716aed39b74385f25b4",
            "b09416fadf3f465f98de69d7655b5286"
          ]
        },
        "id": "v3JXV5km4Ccv",
        "outputId": "011d33db-5bea-4cf8-e145-098e5652cf27"
      },
      "execution_count": 21,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "RadioButtons(description='Type: ', options=('Emitters', 'Suppliers'), value='Emitters')"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "003b8e5e52294ce7bd03219e368d98b5"
            }
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "Then, choose a state:"
      ],
      "metadata": {
        "id": "2IQe5UcI4eHE"
      }
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 49,
          "referenced_widgets": [
            "6525722db2d74069a5723bfb82818060",
            "332a10a474c943d9ae40d562239949cb",
            "6a8f783937e54d68acbecb8b8a5ad9eb"
          ]
        },
        "id": "YPW9LJ57WNJu",
        "outputId": "3cb6a0b2-6af4-4387-8e7d-ad4b7a8db5d8"
      },
      "source": [
        "if t.value == \"Emitters\":\n",
        "  states = list(join_emitters['FACILITY STATE'].unique())\n",
        "  states = [x for x in states if str(x) != 'nan']\n",
        "  states.sort()\n",
        "  join = join_emitters\n",
        "elif t.value == \"Suppliers\":\n",
        "  states = list(join_suppliers['FACILITY STATE'].unique())\n",
        "  states = [x for x in states if str(x) != 'nan']\n",
        "  states.sort()\n",
        "  join = join_suppliers\n",
        "\n",
        "state_selection = widgets.Dropdown(\n",
        "  options=states,\n",
        "  description='Select a state:'\n",
        ")\n",
        "state_selection"
      ],
      "execution_count": 22,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "Dropdown(description='Select a state:', options=('AK', 'AL', 'AR', 'AZ', 'CA', 'CO', 'CT', 'DC', 'DE', 'FL', '…"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "6525722db2d74069a5723bfb82818060"
            }
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "H-wyKRZragNu"
      },
      "source": [
        "Next, we'll show the top ten parent companies in terms of direct or supplied emissions in this state.\n",
        "\n",
        "Re-run the cell above to select a different state and then run this one again to see the new results. You can also change `geo_summary.nlargest(10, \"PARENT EMISSIONS AMT\")` to some other number than 10 to see more of the ranking."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 442
        },
        "id": "VcEAM8o4ShXi",
        "outputId": "29105757-3147-41d2-c57e-20d66dfb8f1c"
      },
      "source": [
        "# Filter the data to the selected state\n",
        "geo_join = join.loc[join['FACILITY STATE'] == state_selection.value]\n",
        "geo_summary = geo_join.groupby(\"PARENT COMPANY NAME\")[[\"PARENT EMISSIONS AMT\"]].agg(['sum', 'count'])\n",
        "\n",
        "display(HTML(\"<h2>\"+t.value+\" in \"+state_selection.value+\" in \"+year+\"</h2>\"))\n",
        "display(geo_summary[\"PARENT EMISSIONS AMT\"].rename(columns={'sum': 'Emissions (tC02e)', 'count': '# of facilities'}).nlargest(10, \"Emissions (tC02e)\").style.format({\"Emissions (tC02e)\": '{:,.0f}'}))"
      ],
      "execution_count": 23,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<IPython.core.display.HTML object>"
            ],
            "text/html": [
              "<h2>Emitters in AK in 2023</h2>"
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<pandas.io.formats.style.Styler at 0x785d18883670>"
            ],
            "text/html": [
              "<style type=\"text/css\">\n",
              "</style>\n",
              "<table id=\"T_ed83e\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr>\n",
              "      <th class=\"blank level0\" >&nbsp;</th>\n",
              "      <th id=\"T_ed83e_level0_col0\" class=\"col_heading level0 col0\" >Emissions (tC02e)</th>\n",
              "      <th id=\"T_ed83e_level0_col1\" class=\"col_heading level0 col1\" ># of facilities</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th class=\"index_name level0\" >PARENT COMPANY NAME</th>\n",
              "      <th class=\"blank col0\" >&nbsp;</th>\n",
              "      <th class=\"blank col1\" >&nbsp;</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th id=\"T_ed83e_level0_row0\" class=\"row_heading level0 row0\" >HILCORP ENERGY CO</th>\n",
              "      <td id=\"T_ed83e_row0_col0\" class=\"data row0 col0\" >12,322,316</td>\n",
              "      <td id=\"T_ed83e_row0_col1\" class=\"data row0 col1\" >22</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_ed83e_level0_row1\" class=\"row_heading level0 row1\" >CONOCOPHILLIPS</th>\n",
              "      <td id=\"T_ed83e_row1_col0\" class=\"data row1 col0\" >1,825,982</td>\n",
              "      <td id=\"T_ed83e_row1_col1\" class=\"data row1 col1\" >5</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_ed83e_level0_row2\" class=\"row_heading level0 row2\" >GOLDEN VALLEY ELECTRIC ASSOC INC</th>\n",
              "      <td id=\"T_ed83e_row2_col0\" class=\"data row2 col0\" >876,837</td>\n",
              "      <td id=\"T_ed83e_row2_col1\" class=\"data row2 col1\" >2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_ed83e_level0_row3\" class=\"row_heading level0 row3\" >CHUGACH ELECTRIC ASSOC INC</th>\n",
              "      <td id=\"T_ed83e_row3_col0\" class=\"data row3 col0\" >802,119</td>\n",
              "      <td id=\"T_ed83e_row3_col1\" class=\"data row3 col1\" >4</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_ed83e_level0_row4\" class=\"row_heading level0 row4\" >MARATHON PETROLEUM CORP</th>\n",
              "      <td id=\"T_ed83e_row4_col0\" class=\"data row4 col0\" >545,281</td>\n",
              "      <td id=\"T_ed83e_row4_col1\" class=\"data row4 col1\" >1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_ed83e_level0_row5\" class=\"row_heading level0 row5\" >MATANUSKA ELECTRIC ASSOC INC</th>\n",
              "      <td id=\"T_ed83e_row5_col0\" class=\"data row5 col0\" >337,966</td>\n",
              "      <td id=\"T_ed83e_row5_col1\" class=\"data row5 col1\" >1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_ed83e_level0_row6\" class=\"row_heading level0 row6\" >AURORA ENERGY LLC</th>\n",
              "      <td id=\"T_ed83e_row6_col0\" class=\"data row6 col0\" >265,496</td>\n",
              "      <td id=\"T_ed83e_row6_col1\" class=\"data row6 col1\" >1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_ed83e_level0_row7\" class=\"row_heading level0 row7\" >ALYESKA PIPELINE SERVICE CO</th>\n",
              "      <td id=\"T_ed83e_row7_col0\" class=\"data row7 col0\" >215,970</td>\n",
              "      <td id=\"T_ed83e_row7_col1\" class=\"data row7 col1\" >4</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_ed83e_level0_row8\" class=\"row_heading level0 row8\" >HOMER ELECTRIC ASSOC INC</th>\n",
              "      <td id=\"T_ed83e_row8_col0\" class=\"data row8 col0\" >212,524</td>\n",
              "      <td id=\"T_ed83e_row8_col1\" class=\"data row8 col1\" >3</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_ed83e_level0_row9\" class=\"row_heading level0 row9\" >MUNICIPALITY OF ANCHORAGE - SOLID WASTE SERVICE</th>\n",
              "      <td id=\"T_ed83e_row9_col0\" class=\"data row9 col0\" >175,759</td>\n",
              "      <td id=\"T_ed83e_row9_col1\" class=\"data row9 col1\" >1</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n"
            ]
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "iLV5RR2nX4Sa"
      },
      "source": [
        "Export this processed data, if you like, by running the cell below.\n"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "bc1ac2db-3ea2-435f-d30a-c0742fd7f136",
        "id": "xlB7lIzSX4Sg"
      },
      "source": [
        "if ( geo_summary is not None):\n",
        "  geo_summary.to_csv( 'ghgdata_'+t.value+'_companies_'+year+'_'+state_selection.value+'.csv' )\n",
        "print(\"Exported! Check the 'Files' folder in Colab to download it.\")"
      ],
      "execution_count": 24,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Exported! Check the 'Files' folder in Colab to download it.\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "Do you want to look at the results for a specific county in the state you've chosen? If so, run the following two cells."
      ],
      "metadata": {
        "id": "p33SdJtLbVxM"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Get and select counties\n",
        "from ECHO_modules.utilities import show_pick_region_widget\n",
        "county_selection = show_pick_region_widget(\"County\", state_selection, multi = False)"
      ],
      "metadata": {
        "id": "zvCUGDcRbfJA",
        "outputId": "492aa1d6-78d0-4d1f-f023-977fd9f70d88",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 49,
          "referenced_widgets": [
            "87d65e80f64b4f4ba4f72e6fa3c7abcb",
            "2ccf7d1c567d4776b2f677016c050279",
            "878b77f9c9b644d0b095bf96fdd0d26c"
          ]
        }
      },
      "execution_count": 25,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "Dropdown(description='County:', options=('ALASKA', 'ALEUTIAN ISLANDS', 'ALEUTIANS EAST', 'ALEUTIANS WEST', 'AN…"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "87d65e80f64b4f4ba4f72e6fa3c7abcb"
            }
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Filter the data to the selected county or counties\n",
        "join['FACILITY COUNTY'] = join['FACILITY COUNTY'].str.upper() # Standardize formatting\n",
        "geo_join = join.loc[(join['FACILITY STATE'] == state_selection.value) & (join['FACILITY COUNTY'].str.contains(county_selection.value))]\n",
        "geo_summary = geo_join.groupby(\"PARENT COMPANY NAME\")[[\"PARENT EMISSIONS AMT\"]].agg(['sum', 'count']) # Summarize ownership of facilities in this county/these counties\n",
        "\n",
        "display(HTML(\"<h2>\"+t.value+\" in \"+county_selection.value+\", \"+state_selection.value+\" in \"+year+\"</h2>\"))\n",
        "display(geo_summary[\"PARENT EMISSIONS AMT\"].rename(columns={'sum': 'Emissions (tC02e)', 'count': '# of facilities'}).nlargest(10, \"Emissions (tC02e)\").style.format({\"Emissions (tC02e)\": '{:,.0f}'}))"
      ],
      "metadata": {
        "id": "P5NMGIVTbdoC",
        "outputId": "9343352f-c742-471e-db6d-965685447df4",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 379
        }
      },
      "execution_count": 26,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<IPython.core.display.HTML object>"
            ],
            "text/html": [
              "<h2>Emitters in FAIRBANKS, AK in 2023</h2>"
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<pandas.io.formats.style.Styler at 0x785cf5556f50>"
            ],
            "text/html": [
              "<style type=\"text/css\">\n",
              "</style>\n",
              "<table id=\"T_1b527\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr>\n",
              "      <th class=\"blank level0\" >&nbsp;</th>\n",
              "      <th id=\"T_1b527_level0_col0\" class=\"col_heading level0 col0\" >Emissions (tC02e)</th>\n",
              "      <th id=\"T_1b527_level0_col1\" class=\"col_heading level0 col1\" ># of facilities</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th class=\"index_name level0\" >PARENT COMPANY NAME</th>\n",
              "      <th class=\"blank col0\" >&nbsp;</th>\n",
              "      <th class=\"blank col1\" >&nbsp;</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th id=\"T_1b527_level0_row0\" class=\"row_heading level0 row0\" >GOLDEN VALLEY ELECTRIC ASSOC INC</th>\n",
              "      <td id=\"T_1b527_row0_col0\" class=\"data row0 col0\" >269,151</td>\n",
              "      <td id=\"T_1b527_row0_col1\" class=\"data row0 col1\" >1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_1b527_level0_row1\" class=\"row_heading level0 row1\" >AURORA ENERGY LLC</th>\n",
              "      <td id=\"T_1b527_row1_col0\" class=\"data row1 col0\" >265,496</td>\n",
              "      <td id=\"T_1b527_row1_col1\" class=\"data row1 col1\" >1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_1b527_level0_row2\" class=\"row_heading level0 row2\" >DOYON LTD</th>\n",
              "      <td id=\"T_1b527_row2_col0\" class=\"data row2 col0\" >152,421</td>\n",
              "      <td id=\"T_1b527_row2_col1\" class=\"data row2 col1\" >1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_1b527_level0_row3\" class=\"row_heading level0 row3\" >FAIRBANKS SEWER & WATER INC</th>\n",
              "      <td id=\"T_1b527_row3_col0\" class=\"data row3 col0\" >152,421</td>\n",
              "      <td id=\"T_1b527_row3_col1\" class=\"data row3 col1\" >1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_1b527_level0_row4\" class=\"row_heading level0 row4\" >STATE OF ALASKA</th>\n",
              "      <td id=\"T_1b527_row4_col0\" class=\"data row4 col0\" >116,616</td>\n",
              "      <td id=\"T_1b527_row4_col1\" class=\"data row4 col1\" >1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_1b527_level0_row5\" class=\"row_heading level0 row5\" >BOROUGH OF FAIRBANKS NORTH STAR</th>\n",
              "      <td id=\"T_1b527_row5_col0\" class=\"data row5 col0\" >82,673</td>\n",
              "      <td id=\"T_1b527_row5_col1\" class=\"data row5 col1\" >1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_1b527_level0_row6\" class=\"row_heading level0 row6\" >ARCTIC SLOPE REGIONAL CORP</th>\n",
              "      <td id=\"T_1b527_row6_col0\" class=\"data row6 col0\" >35,598</td>\n",
              "      <td id=\"T_1b527_row6_col1\" class=\"data row6 col1\" >1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_1b527_level0_row7\" class=\"row_heading level0 row7\" >US GOVERNMENT</th>\n",
              "      <td id=\"T_1b527_row7_col0\" class=\"data row7 col0\" >0</td>\n",
              "      <td id=\"T_1b527_row7_col1\" class=\"data row7 col1\" >0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n"
            ]
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "lMc2jWtuYJpo"
      },
      "source": [
        "Export this processed data, if you like, by running the cell below.\n"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "6529534e-8ba7-483d-e3d1-f9f15216a530",
        "id": "K6PCUWxGYJpo"
      },
      "source": [
        "if ( geo_summary is not None):\n",
        "  geo_summary.to_csv( 'ghgdata_'+t.value+'_companies_'+year+'_'+state_selection.value+'_'+county_selection.value+'.csv' )\n",
        "print(\"Exported! Check the 'Files' folder in Colab to download it.\")"
      ],
      "execution_count": 27,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Exported! Check the 'Files' folder in Colab to download it.\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "qejR1DglBb6A"
      },
      "source": [
        "## National Trends"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "dJ5NJHYcbMst"
      },
      "source": [
        "In what follows, we'll look at how different kinds of parent companies/owners stack up in terms of emissions *nationwide*. In other words, we'll look at different sectors of ownership: universities, municipalities (cities), etc."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "tUx8k5AeC_V-"
      },
      "source": [
        "Are American universities significant emitters of GHG emissions? What we'll do is search our list of facility owners to see if there are any with \"university\" or \"university of\" in their name. Please note that this dataset accounts only for direct ownership of GHG-emitting facilities - universities' stock in or divestment from GHG-emitting companies are not tracked.\n",
        "\n",
        "Let's look at the top 10. Again, to see more of the ranking change ...`.nlargest(20, 'PARENT EMISSIONS AMT')` to some other number than 10."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 553
        },
        "id": "tsjeCVMjC6o-",
        "outputId": "f969cabf-4ce4-4caa-ace6-492f219ecd9b"
      },
      "source": [
        "e = summary_e.query(\"index.str.lower().str.contains('university')\",engine='python').nlargest(10, 'PARENT EMISSIONS AMT')\n",
        "s = summary_s.query(\"index.str.lower().str.contains('university')\",engine='python').nlargest(10, 'PARENT EMISSIONS AMT')\n",
        "\n",
        "display(HTML(\"<h2>\"+year+\"'s Direct Emitters:</h2>\"))\n",
        "display(e.style.format({\"PARENT EMISSIONS AMT\": '{:,.0f}'}))\n",
        "display(HTML(\"<h2>\"+year+\"'s Suppliers:</h2>\"))\n",
        "display(s.style.format({\"PARENT EMISSIONS AMT\": '{:,.0f}'}))"
      ],
      "execution_count": 28,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<IPython.core.display.HTML object>"
            ],
            "text/html": [
              "<h2>2023's Direct Emitters:</h2>"
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<pandas.io.formats.style.Styler at 0x785cfd3ddff0>"
            ],
            "text/html": [
              "<style type=\"text/css\">\n",
              "</style>\n",
              "<table id=\"T_e1377\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr>\n",
              "      <th class=\"blank level0\" >&nbsp;</th>\n",
              "      <th id=\"T_e1377_level0_col0\" class=\"col_heading level0 col0\" >PARENT EMISSIONS AMT</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th class=\"index_name level0\" >PARENT COMPANY NAME</th>\n",
              "      <th class=\"blank col0\" >&nbsp;</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th id=\"T_e1377_level0_row0\" class=\"row_heading level0 row0\" >UNIVERSITY OF TEXAS SYSTEM</th>\n",
              "      <td id=\"T_e1377_row0_col0\" class=\"data row0 col0\" >364,436</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_e1377_level0_row1\" class=\"row_heading level0 row1\" >UNIVERSITY OF ILLINOIS</th>\n",
              "      <td id=\"T_e1377_row1_col0\" class=\"data row1 col0\" >335,851</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_e1377_level0_row2\" class=\"row_heading level0 row2\" >MICHIGAN STATE UNIVERSITY</th>\n",
              "      <td id=\"T_e1377_row2_col0\" class=\"data row2 col0\" >298,938</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_e1377_level0_row3\" class=\"row_heading level0 row3\" >THE REGENTS OF THE UNIVERSITY OF MICHIGAN</th>\n",
              "      <td id=\"T_e1377_row3_col0\" class=\"data row3 col0\" >272,741</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_e1377_level0_row4\" class=\"row_heading level0 row4\" >UNIVERSITY OF CINCINNATI</th>\n",
              "      <td id=\"T_e1377_row4_col0\" class=\"data row4 col0\" >172,058</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_e1377_level0_row5\" class=\"row_heading level0 row5\" >THE PENNSYLVANIA STATE UNIVERSITY</th>\n",
              "      <td id=\"T_e1377_row5_col0\" class=\"data row5 col0\" >165,461</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_e1377_level0_row6\" class=\"row_heading level0 row6\" >CORNELL UNIVERSITY</th>\n",
              "      <td id=\"T_e1377_row6_col0\" class=\"data row6 col0\" >148,240</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_e1377_level0_row7\" class=\"row_heading level0 row7\" >THE UNIVERSITY OF IOWA</th>\n",
              "      <td id=\"T_e1377_row7_col0\" class=\"data row7 col0\" >148,016</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_e1377_level0_row8\" class=\"row_heading level0 row8\" >IOWA STATE UNIVERSITY OF SCIENCE &  TECHNOLOGY</th>\n",
              "      <td id=\"T_e1377_row8_col0\" class=\"data row8 col0\" >146,726</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_e1377_level0_row9\" class=\"row_heading level0 row9\" >UNIVERSITY OF MISSOURI SYSTEM</th>\n",
              "      <td id=\"T_e1377_row9_col0\" class=\"data row9 col0\" >135,844</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n"
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<IPython.core.display.HTML object>"
            ],
            "text/html": [
              "<h2>2023's Suppliers:</h2>"
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<pandas.io.formats.style.Styler at 0x785cfd3ddff0>"
            ],
            "text/html": [
              "<style type=\"text/css\">\n",
              "</style>\n",
              "<table id=\"T_45af1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr>\n",
              "      <th class=\"blank level0\" >&nbsp;</th>\n",
              "      <th id=\"T_45af1_level0_col0\" class=\"col_heading level0 col0\" >PARENT EMISSIONS AMT</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th class=\"index_name level0\" >PARENT COMPANY NAME</th>\n",
              "      <th class=\"blank col0\" >&nbsp;</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "  </tbody>\n",
              "</table>\n"
            ]
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "You'll see that universities do not seem to directly own fossil fuel supplying facilities (e.g. refineries). Let's chart universities as direct emitters."
      ],
      "metadata": {
        "id": "oYtJVAB2MetE"
      }
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 544
        },
        "id": "umaJFngsKpou",
        "outputId": "f55cbdfc-7e83-47d0-ae34-61e605ff34a5"
      },
      "source": [
        "from ECHO_modules import utilities\n",
        "def bar_chart(data, title):\n",
        "  fig, ax = utilities.plt.subplots()\n",
        "  ax.barh(utilities.np.arange(data.shape[0]), data[\"PARENT EMISSIONS AMT\"])\n",
        "  ax.set_yticks(utilities.np.arange(data.shape[0]))\n",
        "  ax.set_yticklabels(list(data.index))\n",
        "  ax.invert_yaxis()\n",
        "  ax.set_xlabel(year+' Emissions (tCO2e)')\n",
        "  ax.set_title(title)\n",
        "  ax.ticklabel_format(axis = 'x', style='plain')\n",
        "  utilities.plt.xticks(rotation=45)\n",
        "  utilities.plt.show()\n",
        "bar_chart(e, 'Universities')"
      ],
      "execution_count": 29,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "7OBAi6R-FRNX"
      },
      "source": [
        "In addition to some universities, cities too are publicly-controlled entities that may be key targets for GHG emissions reduction or divestment. How much do they emit? Which cities?"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 867
        },
        "id": "5X6bnISsDheh",
        "outputId": "362a1618-75c2-49fb-d967-8fe720a0bf6f"
      },
      "source": [
        "e = summary_e.query(\"index.str.lower().str.contains('city of')\",engine='python').nlargest(10, 'PARENT EMISSIONS AMT')\n",
        "s = summary_s.query(\"index.str.lower().str.contains('city of')\",engine='python').nlargest(10, 'PARENT EMISSIONS AMT')\n",
        "\n",
        "display(HTML(\"<h2>\"+year+\"'s Direct Emitters:</h2>\"))\n",
        "display(e.style.format({\"PARENT EMISSIONS AMT\": '{:,.0f}'}))\n",
        "display(HTML(\"<h2>\"+year+\"'s Suppliers:</h2>\"))\n",
        "display(s.style.format({\"PARENT EMISSIONS AMT\": '{:,.0f}'}))"
      ],
      "execution_count": 30,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<IPython.core.display.HTML object>"
            ],
            "text/html": [
              "<h2>2023's Direct Emitters:</h2>"
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<pandas.io.formats.style.Styler at 0x785d18883730>"
            ],
            "text/html": [
              "<style type=\"text/css\">\n",
              "</style>\n",
              "<table id=\"T_b4669\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr>\n",
              "      <th class=\"blank level0\" >&nbsp;</th>\n",
              "      <th id=\"T_b4669_level0_col0\" class=\"col_heading level0 col0\" >PARENT EMISSIONS AMT</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th class=\"index_name level0\" >PARENT COMPANY NAME</th>\n",
              "      <th class=\"blank col0\" >&nbsp;</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th id=\"T_b4669_level0_row0\" class=\"row_heading level0 row0\" >CITY OF LOS ANGELES CALIFORNIA</th>\n",
              "      <td id=\"T_b4669_row0_col0\" class=\"data row0 col0\" >2,593,172</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_b4669_level0_row1\" class=\"row_heading level0 row1\" >CITY OF TALLAHASSEE FLORIDA</th>\n",
              "      <td id=\"T_b4669_row1_col0\" class=\"data row1 col0\" >1,298,558</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_b4669_level0_row2\" class=\"row_heading level0 row2\" >CITY OF GAINESVILLE FLORIDA</th>\n",
              "      <td id=\"T_b4669_row2_col0\" class=\"data row2 col0\" >922,200</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_b4669_level0_row3\" class=\"row_heading level0 row3\" >CITY OF LAKELAND FLORIDA</th>\n",
              "      <td id=\"T_b4669_row3_col0\" class=\"data row3 col0\" >821,581</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_b4669_level0_row4\" class=\"row_heading level0 row4\" >CITY WATER & LIGHT PLANT OF THE CITY OF JONESBORO ARKANSAS</th>\n",
              "      <td id=\"T_b4669_row4_col0\" class=\"data row4 col0\" >806,687</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_b4669_level0_row5\" class=\"row_heading level0 row5\" >CITY OF SPRINGFIELD ILLINOIS</th>\n",
              "      <td id=\"T_b4669_row5_col0\" class=\"data row5 col0\" >779,448</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_b4669_level0_row6\" class=\"row_heading level0 row6\" >CITY OF FREMONT NEBRASKA</th>\n",
              "      <td id=\"T_b4669_row6_col0\" class=\"data row6 col0\" >603,711</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_b4669_level0_row7\" class=\"row_heading level0 row7\" >CITY OF EL PASO TEXAS</th>\n",
              "      <td id=\"T_b4669_row7_col0\" class=\"data row7 col0\" >544,399</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_b4669_level0_row8\" class=\"row_heading level0 row8\" >CITY OF BATON ROUGE LOUISIANA</th>\n",
              "      <td id=\"T_b4669_row8_col0\" class=\"data row8 col0\" >508,923</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_b4669_level0_row9\" class=\"row_heading level0 row9\" >CITY OF DALLAS TEXAS</th>\n",
              "      <td id=\"T_b4669_row9_col0\" class=\"data row9 col0\" >482,798</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n"
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<IPython.core.display.HTML object>"
            ],
            "text/html": [
              "<h2>2023's Suppliers:</h2>"
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<pandas.io.formats.style.Styler at 0x785d18883730>"
            ],
            "text/html": [
              "<style type=\"text/css\">\n",
              "</style>\n",
              "<table id=\"T_a23f7\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr>\n",
              "      <th class=\"blank level0\" >&nbsp;</th>\n",
              "      <th id=\"T_a23f7_level0_col0\" class=\"col_heading level0 col0\" >PARENT EMISSIONS AMT</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th class=\"index_name level0\" >PARENT COMPANY NAME</th>\n",
              "      <th class=\"blank col0\" >&nbsp;</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th id=\"T_a23f7_level0_row0\" class=\"row_heading level0 row0\" >CITY OF MEMPHIS TENNESSEE</th>\n",
              "      <td id=\"T_a23f7_row0_col0\" class=\"data row0 col0\" >4,979,306</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_a23f7_level0_row1\" class=\"row_heading level0 row1\" >CITY OF KINGS MOUNTAIN NORTH CAROLINA</th>\n",
              "      <td id=\"T_a23f7_row1_col0\" class=\"data row1 col0\" >1,268,690</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_a23f7_level0_row2\" class=\"row_heading level0 row2\" >CITY OF RICHMOND VIRGINIA</th>\n",
              "      <td id=\"T_a23f7_row2_col0\" class=\"data row2 col0\" >1,166,985</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_a23f7_level0_row3\" class=\"row_heading level0 row3\" >CITY OF CARROLLTON KENTUCKY</th>\n",
              "      <td id=\"T_a23f7_row3_col0\" class=\"data row3 col0\" >618,342</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_a23f7_level0_row4\" class=\"row_heading level0 row4\" >CITY OF LONG BEACH CALIFORNIA</th>\n",
              "      <td id=\"T_a23f7_row4_col0\" class=\"data row4 col0\" >512,180</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_a23f7_level0_row5\" class=\"row_heading level0 row5\" >BREWTON CITY OF (INC)</th>\n",
              "      <td id=\"T_a23f7_row5_col0\" class=\"data row5 col0\" >424,357</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_a23f7_level0_row6\" class=\"row_heading level0 row6\" >CITY OF MADISON ALABAMA</th>\n",
              "      <td id=\"T_a23f7_row6_col0\" class=\"data row6 col0\" >371,681</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_a23f7_level0_row7\" class=\"row_heading level0 row7\" >CITY OF MUSCLE SHOALS ALABAMA</th>\n",
              "      <td id=\"T_a23f7_row7_col0\" class=\"data row7 col0\" >371,681</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_a23f7_level0_row8\" class=\"row_heading level0 row8\" >CITY OF DULUTH MINNESOTA</th>\n",
              "      <td id=\"T_a23f7_row8_col0\" class=\"data row8 col0\" >360,130</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_a23f7_level0_row9\" class=\"row_heading level0 row9\" >CITY OF DALTON GEORGIA</th>\n",
              "      <td id=\"T_a23f7_row9_col0\" class=\"data row9 col0\" >311,283</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n"
            ]
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "Here we'll create charts of this data."
      ],
      "metadata": {
        "id": "JKjtNvBmMlyk"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "bar_chart(e, 'Municipalities as Emitters')\n",
        "bar_chart(s, 'Municipalities as Suppliers')"
      ],
      "metadata": {
        "id": "0NSxIBUUiwVj",
        "outputId": "835e8a04-7022-482b-959d-c9292903c2cf",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        }
      },
      "execution_count": 31,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "jnunUd__pKEN"
      },
      "source": [
        "You might be interested in exploring other kinds of entities (e.g. \"Department of Defense\")) or specific owners (e.g. \"Koch Brothers\", \"Exxon\", etc.) or entities associated with specific areas (e.g. \"Chicago\")\n",
        "\n",
        "Run the following cell to produce a textbox where you can enter the specific term you want to search for."
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "search = widgets.Text(\n",
        "  value='',\n",
        "  placeholder='Type something here e.g. Exxon',\n",
        "  description='Search:',\n",
        "  disabled=False\n",
        ")\n",
        "display(search)"
      ],
      "metadata": {
        "id": "XPBIwF3sGvNz",
        "outputId": "a37a35b5-e3fe-41da-89e9-f6654e962287",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 49,
          "referenced_widgets": [
            "9a1f83e380c543dca6b36996dc08a7aa",
            "739cd685073542fbafec1ce9f8bda850",
            "396c7f56e6e84a63b30c87304cbc8f91"
          ]
        }
      },
      "execution_count": 32,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "Text(value='', description='Search:', placeholder='Type something here e.g. Exxon')"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "9a1f83e380c543dca6b36996dc08a7aa"
            }
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "Then run this cell to see the results!"
      ],
      "metadata": {
        "id": "KHeqT3TfGzmB"
      }
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "SQngD2U7K92H",
        "outputId": "3607ba9b-0eef-47bc-9a2d-581797c26cf7",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 302
        }
      },
      "source": [
        "e = summary_e.query(\"index.str.lower().str.contains('\"+search.value.lower()+\"')\",engine='python').nlargest(10, 'PARENT EMISSIONS AMT')\n",
        "\n",
        "s = summary_s.query(\"index.str.lower().str.contains('\"+search.value.lower()+\"')\",engine='python').nlargest(10, 'PARENT EMISSIONS AMT')\n",
        "\n",
        "display(HTML(\"<h2>\"+year+\"'s Direct Emitters:</h2>\"))\n",
        "display(e.style.format({\"PARENT EMISSIONS AMT\": '{:,.0f}'}))\n",
        "display(HTML(\"<h2>\"+year+\"'s Suppliers:</h2>\"))\n",
        "display(s.style.format({\"PARENT EMISSIONS AMT\": '{:,.0f}'}))"
      ],
      "execution_count": 33,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<IPython.core.display.HTML object>"
            ],
            "text/html": [
              "<h2>2023's Direct Emitters:</h2>"
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<pandas.io.formats.style.Styler at 0x785cf5119a50>"
            ],
            "text/html": [
              "<style type=\"text/css\">\n",
              "</style>\n",
              "<table id=\"T_a48d5\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr>\n",
              "      <th class=\"blank level0\" >&nbsp;</th>\n",
              "      <th id=\"T_a48d5_level0_col0\" class=\"col_heading level0 col0\" >PARENT EMISSIONS AMT</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th class=\"index_name level0\" >PARENT COMPANY NAME</th>\n",
              "      <th class=\"blank col0\" >&nbsp;</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th id=\"T_a48d5_level0_row0\" class=\"row_heading level0 row0\" >EXXON MOBIL CORP</th>\n",
              "      <td id=\"T_a48d5_row0_col0\" class=\"data row0 col0\" >37,882,422</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n"
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<IPython.core.display.HTML object>"
            ],
            "text/html": [
              "<h2>2023's Suppliers:</h2>"
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<pandas.io.formats.style.Styler at 0x785cf5119a50>"
            ],
            "text/html": [
              "<style type=\"text/css\">\n",
              "</style>\n",
              "<table id=\"T_04a40\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr>\n",
              "      <th class=\"blank level0\" >&nbsp;</th>\n",
              "      <th id=\"T_04a40_level0_col0\" class=\"col_heading level0 col0\" >PARENT EMISSIONS AMT</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th class=\"index_name level0\" >PARENT COMPANY NAME</th>\n",
              "      <th class=\"blank col0\" >&nbsp;</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th id=\"T_04a40_level0_row0\" class=\"row_heading level0 row0\" >EXXON MOBIL CORP</th>\n",
              "      <td id=\"T_04a40_row0_col0\" class=\"data row0 col0\" >341,759,108</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n"
            ]
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "st94uCnaxEZx"
      },
      "execution_count": null,
      "outputs": []
    }
  ]
}