Nationwide_Trends_Over_Time.ipynb

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      "source": [
        "| ![EEW logo](https://github.com/edgi-govdata-archiving/EEW-Image-Assets/blob/main/Jupyter%20instructions/eew.jpg?raw=true) | ![EDGI logo](https://github.com/edgi-govdata-archiving/EEW-Image-Assets/blob/main/Jupyter%20instructions/edgi.png?raw=true) |\n",
        "|---|---|\n",
        "\n",
        "\n",
        "#### This notebook is licensed under GPL 3.0.\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 [our website](https://www.environmentalenforcementwatch.org/)"
      ],
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    },
    {
      "cell_type": "markdown",
      "source": [
        "## How to Run\n",
        "![Instructions for running a Jupyter Notebook](https://github.com/edgi-govdata-archiving/EEW-Image-Assets/blob/main/overall_instructions.png?raw=true)"
      ],
      "metadata": {
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      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "Watch a demo of this notebook:"
      ],
      "metadata": {
        "id": "tds2pE7PVnXi"
      }
    },
    {
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      "source": [
        "from IPython.display import YouTubeVideo\n",
        "YouTubeVideo('pjF0frgLfzs')"
      ],
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        "outputId": "b3277824-2b05-425e-a852-ce4194adc988",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 321
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      },
      "execution_count": 1,
      "outputs": [
        {
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              "<IPython.lib.display.YouTubeVideo at 0x7df86e4e9690>"
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              "            width=\"400\"\n",
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              "            src=\"https://www.youtube.com/embed/pjF0frgLfzs\"\n",
              "            frameborder=\"0\"\n",
              "            allowfullscreen\n",
              "            \n",
              "        ></iframe>\n",
              "        "
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          },
          "metadata": {},
          "execution_count": 1
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Get ready"
      ],
      "metadata": {
        "id": "kXD3Yc6WPVeP"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "!pip install ECHO_modules &>/dev/null; # EDGI's existing code for accessing EPA data\n",
        "from IPython.core.display import HTML # For pretty output\n",
        "import warnings\n",
        "warnings.filterwarnings(\"ignore\") # Ignore warnings we already know about..."
      ],
      "metadata": {
        "id": "XXzPNP48PWMH"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Load data\n",
        "We are loading statistics for the five year period 2019-2023 on enforcement of and compliance with environmental protection laws - the Clean Air, Clean Water, and Resource Conservation and Recovery Acts. These statistics were previously compiled from separate analyses."
      ],
      "metadata": {
        "id": "2PIfhyDqPapX"
      }
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 308
        },
        "id": "7o-WOuUNJNUV",
        "outputId": "74d26c7d-49fb-4adc-9751-5610b7d2686c"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "   year  caa_inspections per 1000 facilities  \\\n",
              "0  2019                               261.62   \n",
              "1  2020                               244.19   \n",
              "2  2021                               246.09   \n",
              "3  2022                               241.16   \n",
              "4  2023                               194.20   \n",
              "\n",
              "   caa_violations per 1000 facilities  \\\n",
              "0                               21.64   \n",
              "1                               17.29   \n",
              "2                               18.82   \n",
              "3                               22.66   \n",
              "4                               17.41   \n",
              "\n",
              "   caa_formal enforcement actions per violation  \\\n",
              "0                                          0.65   \n",
              "1                                          0.67   \n",
              "2                                          0.66   \n",
              "3                                          0.67   \n",
              "4                                          0.60   \n",
              "\n",
              "   caa_penalty per facility in violation  caa_penalty max  caa_penalty min  \\\n",
              "0                               22985.04          3709513              100   \n",
              "1                               61543.96         10000000              100   \n",
              "2                               29594.80          3300000              100   \n",
              "3                               87011.52         10455925               50   \n",
              "4                              136009.23         40336818              100   \n",
              "\n",
              "   cwa_inspections per 1000 facilities  cwa_violations per 1000 facilities  \\\n",
              "0                               148.03                             1107.71   \n",
              "1                               129.65                             1077.96   \n",
              "2                               129.49                             1152.28   \n",
              "3                               124.65                             1026.33   \n",
              "4                                95.27                              856.61   \n",
              "\n",
              "   cwa_formal enforcement actions per violation  ...  cwa_penalty min  \\\n",
              "0                                          0.01  ...            57.36   \n",
              "1                                          0.01  ...            43.95   \n",
              "2                                          0.01  ...            75.00   \n",
              "3                                          0.01  ...            86.57   \n",
              "4                                          0.01  ...           138.85   \n",
              "\n",
              "   rcra_inspections per 1000 facilities  rcra_violations per 1000 facilities  \\\n",
              "0                                 37.30                                24.12   \n",
              "1                                 29.91                                14.05   \n",
              "2                                 29.13                                15.04   \n",
              "3                                 39.30                                29.28   \n",
              "4                                 25.40                                15.81   \n",
              "\n",
              "   rcra_formal enforcement actions per violation  \\\n",
              "0                                           0.48   \n",
              "1                                           0.52   \n",
              "2                                           0.52   \n",
              "3                                           0.40   \n",
              "4                                           0.48   \n",
              "\n",
              "   rcra_penalty per facility in violation  rcra_penalty max  rcra_penalty min  \\\n",
              "0                                 3165.75           2295000            250.00   \n",
              "1                                25628.19          38000000             33.88   \n",
              "2                               168143.47           3800000              0.01   \n",
              "3                                 2480.19           2844694              0.01   \n",
              "4                                 2906.24            689900            211.00   \n",
              "\n",
              "   ghg_emissions per reporting facility      ghg_max  ghg_min  \n",
              "0                             422134.34  18429639.23      0.6  \n",
              "1                             403679.07  19169743.38      0.1  \n",
              "2                             365835.37  17232897.61      0.1  \n",
              "3                             384211.53  20998638.90      0.2  \n",
              "4                             382474.04  21775439.59      0.1  \n",
              "\n",
              "[5 rows x 22 columns]"
            ],
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              "      <th></th>\n",
              "      <th>year</th>\n",
              "      <th>caa_inspections per 1000 facilities</th>\n",
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              "      <th>cwa_violations per 1000 facilities</th>\n",
              "      <th>cwa_formal enforcement actions per violation</th>\n",
              "      <th>...</th>\n",
              "      <th>cwa_penalty min</th>\n",
              "      <th>rcra_inspections per 1000 facilities</th>\n",
              "      <th>rcra_violations per 1000 facilities</th>\n",
              "      <th>rcra_formal enforcement actions per violation</th>\n",
              "      <th>rcra_penalty per facility in violation</th>\n",
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              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>2019</td>\n",
              "      <td>261.62</td>\n",
              "      <td>21.64</td>\n",
              "      <td>0.65</td>\n",
              "      <td>22985.04</td>\n",
              "      <td>3709513</td>\n",
              "      <td>100</td>\n",
              "      <td>148.03</td>\n",
              "      <td>1107.71</td>\n",
              "      <td>0.01</td>\n",
              "      <td>...</td>\n",
              "      <td>57.36</td>\n",
              "      <td>37.30</td>\n",
              "      <td>24.12</td>\n",
              "      <td>0.48</td>\n",
              "      <td>3165.75</td>\n",
              "      <td>2295000</td>\n",
              "      <td>250.00</td>\n",
              "      <td>422134.34</td>\n",
              "      <td>18429639.23</td>\n",
              "      <td>0.6</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>2020</td>\n",
              "      <td>244.19</td>\n",
              "      <td>17.29</td>\n",
              "      <td>0.67</td>\n",
              "      <td>61543.96</td>\n",
              "      <td>10000000</td>\n",
              "      <td>100</td>\n",
              "      <td>129.65</td>\n",
              "      <td>1077.96</td>\n",
              "      <td>0.01</td>\n",
              "      <td>...</td>\n",
              "      <td>43.95</td>\n",
              "      <td>29.91</td>\n",
              "      <td>14.05</td>\n",
              "      <td>0.52</td>\n",
              "      <td>25628.19</td>\n",
              "      <td>38000000</td>\n",
              "      <td>33.88</td>\n",
              "      <td>403679.07</td>\n",
              "      <td>19169743.38</td>\n",
              "      <td>0.1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>2021</td>\n",
              "      <td>246.09</td>\n",
              "      <td>18.82</td>\n",
              "      <td>0.66</td>\n",
              "      <td>29594.80</td>\n",
              "      <td>3300000</td>\n",
              "      <td>100</td>\n",
              "      <td>129.49</td>\n",
              "      <td>1152.28</td>\n",
              "      <td>0.01</td>\n",
              "      <td>...</td>\n",
              "      <td>75.00</td>\n",
              "      <td>29.13</td>\n",
              "      <td>15.04</td>\n",
              "      <td>0.52</td>\n",
              "      <td>168143.47</td>\n",
              "      <td>3800000</td>\n",
              "      <td>0.01</td>\n",
              "      <td>365835.37</td>\n",
              "      <td>17232897.61</td>\n",
              "      <td>0.1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>2022</td>\n",
              "      <td>241.16</td>\n",
              "      <td>22.66</td>\n",
              "      <td>0.67</td>\n",
              "      <td>87011.52</td>\n",
              "      <td>10455925</td>\n",
              "      <td>50</td>\n",
              "      <td>124.65</td>\n",
              "      <td>1026.33</td>\n",
              "      <td>0.01</td>\n",
              "      <td>...</td>\n",
              "      <td>86.57</td>\n",
              "      <td>39.30</td>\n",
              "      <td>29.28</td>\n",
              "      <td>0.40</td>\n",
              "      <td>2480.19</td>\n",
              "      <td>2844694</td>\n",
              "      <td>0.01</td>\n",
              "      <td>384211.53</td>\n",
              "      <td>20998638.90</td>\n",
              "      <td>0.2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>2023</td>\n",
              "      <td>194.20</td>\n",
              "      <td>17.41</td>\n",
              "      <td>0.60</td>\n",
              "      <td>136009.23</td>\n",
              "      <td>40336818</td>\n",
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              "      <td>95.27</td>\n",
              "      <td>856.61</td>\n",
              "      <td>0.01</td>\n",
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              "      <td>138.85</td>\n",
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              "      <td>15.81</td>\n",
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              "<p>5 rows × 22 columns</p>\n",
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              "\n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "       width=\"24px\">\n",
              "    <path d=\"M7,19H8.4L18.45,9,17,7.55,7,17.6ZM5,21V16.75L18.45,3.32a2,2,0,0,1,2.83,0l1.4,1.43a1.91,1.91,0,0,1,.58,1.4,1.91,1.91,0,0,1-.58,1.4L9.25,21ZM18.45,9,17,7.55Zm-12,3A5.31,5.31,0,0,0,4.9,8.1,5.31,5.31,0,0,0,1,6.5,5.31,5.31,0,0,0,4.9,4.9,5.31,5.31,0,0,0,6.5,1,5.31,5.31,0,0,0,8.1,4.9,5.31,5.31,0,0,0,12,6.5,5.46,5.46,0,0,0,6.5,12Z\"/>\n",
              "  </svg>\n",
              "    </button>\n",
              "    <script>\n",
              "      (() => {\n",
              "      const buttonEl =\n",
              "        document.querySelector('#id_ba32414a-0a5e-40a7-ad84-2ca0619b441f button.colab-df-generate');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      buttonEl.onclick = () => {\n",
              "        google.colab.notebook.generateWithVariable('trends');\n",
              "      }\n",
              "      })();\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "trends"
            }
          },
          "metadata": {},
          "execution_count": 115
        }
      ],
      "source": [
        "import pandas\n",
        "trends = pandas.read_csv(\"https://github.com/edgi-govdata-archiving/ECHO-National/raw/main/nationwide_trends.csv\")\n",
        "trends[\"ghg_max\"] = trends[\"ghg_max\"].astype('float64')\n",
        "trends"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Select a Program to Analyze\n",
        "Select from the Clean Air, Clean Water, and Resource Conservation and Recovery Acts or Greenhouse Gas Reporting Program. Then select whether you want to focus on inspections, violations, enforcement actions, penalties, or, in the case of the Greenhouse Gas Reporting Program, emissions. Proceed to run the next cell in order to view the results."
      ],
      "metadata": {
        "id": "SOQfF2LiQBWG"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "import ipywidgets as widgets\n",
        "\n",
        "program_key = {\"Clean Air Act\": \"caa\", \"Clean Water Act\": \"cwa\", \"Resource Conservation and Recovery Act\": \"rcra\", \"Greenhouse Gas Reporting Program\": \"ghg\"}\n",
        "indicator_key = {\"Inspections Per 1000 Facilities\": \"inspections per 1000 facilities\", \"Violations Per 1000 Facilities\": \"violations per 1000 facilities\",\n",
        "                 \"Formal Enforcement Actions Per Violation\": \"formal enforcement actions per violation\", \"Penalties Per Facility in Violation\": \"penalty per facility in violation\",\n",
        "                 \"Max Penalty\": \"penalty max\", \"Minimum Penalty\": \"penalty min\", \"Emissions\": \"emissions per reporting facility\",\n",
        "                 \"Max Emissions\": \"max\", \"Minimum Emissions\": \"min\"}\n",
        "\n",
        "program = widgets.Dropdown(\n",
        "    options=list(program_key.keys()),\n",
        "    description='Program:',\n",
        "    disabled=False,\n",
        ")\n",
        "indicator = widgets.SelectMultiple(\n",
        "    options=list(indicator_key.keys()),\n",
        "    description='Indicator:',\n",
        "    layout = widgets.Layout(width='500px'),\n",
        "    disabled=False,\n",
        ")\n",
        "display(program)\n",
        "display(indicator)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 141,
          "referenced_widgets": [
            "f29a18709af84bc480cc9f1d4e1342ea",
            "6a6fc9952a344abe8b8f914100c1b555",
            "ed66389f68704c1cb81cce4ad30db22b",
            "9e6483713e0d445caea93db9ada9b78e",
            "a89d20e530b0443396bd72660ae4eef8",
            "2aafe7eccf674909bf9728bbde7fe2dc"
          ]
        },
        "id": "CZyPCtk5P25x",
        "outputId": "d595610d-8a77-43a2-8db1-a8089b02ef22"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "Dropdown(description='Program:', options=('Clean Air Act', 'Clean Water Act', 'Resource Conservation and Recov…"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "f29a18709af84bc480cc9f1d4e1342ea"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "SelectMultiple(description='Indicator:', layout=Layout(width='500px'), options=('Inspections Per 1000 Faciliti…"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "9e6483713e0d445caea93db9ada9b78e"
            }
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import ECHO_modules.utilities # import chart style\n",
        "import matplotlib\n",
        "\n",
        "try:\n",
        "  indicators = [\"year\"]\n",
        "  for i in list(indicator.value):\n",
        "    indicators.append(program_key[program.value]+\"_\"+indicator_key[i])\n",
        "\n",
        "  to_chart = trends[indicators]\n",
        "\n",
        "  cols = {x: program.value + \" \" + list(indicator_key.keys())[list(indicator_key.values()).index(x.split(\"_\")[1])]\n",
        "          for i,x in enumerate(indicators) if x != \"year\"}\n",
        "\n",
        "  to_chart.rename(columns=cols, inplace=True)\n",
        "\n",
        "  chart = to_chart.plot(x=\"year\", y=list(to_chart.columns).remove(\"year\"), kind=\"bar\",\n",
        "                rot = 0, figsize=(15, 10)).legend(fontsize=10, loc=\"upper right\")\n",
        "\n",
        "except KeyError:\n",
        "  print(\"Please try again. Remember, only the Greenhouse Gas Reporting Program has information about emissions.\")\n",
        "except TypeError:\n",
        "  print(\"Please select an indicator to plot.\")"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 862
        },
        "id": "lJRsVdQxQje7",
        "outputId": "ec939c74-795c-4bbd-c41c-c6d9ca2d209a"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1500x1000 with 1 Axes>"
            ],
            "image/png": 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          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "v2lWXpC7nukM"
      },
      "execution_count": null,
      "outputs": []
    }
  ]
}