uss-university.ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "name": "scratchpad",
      "provenance": [],
      "include_colab_link": true
    },
    "kernelspec": {
      "display_name": "Python 3",
      "name": "python3"
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/AlexMcClung/profgalloway/blob/master/uss-university.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "lIYdn1woOS1n",
        "colab": {}
      },
      "source": [
        "import pandas as pd\n",
        "import numpy as np\n",
        "import matplotlib.pyplot as plt\n",
        "import seaborn as sns\n",
        "\n",
        "df = pd.read_excel('https://github.com/AlexMcClung/profgalloway/raw/master/galloway-data.xlsx')"
      ],
      "execution_count": 12,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "PkpoRvjF8xww",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 688
        },
        "outputId": "8406a50c-3a0e-48f2-e70f-ecb2b9fb10b5"
      },
      "source": [
        "# need to transform value-to-cost ratio for plot - what type of transformation did Prof G use?\n",
        "df['Value'] = np.log( df['Value-to-Cost Ratio'] )\n",
        "\n",
        "# value vs vulnerability plot\n",
        "plt.style.use('fivethirtyeight')\n",
        "plt.figure(figsize=(16,10))\n",
        "\n",
        "ax = sns.scatterplot(x='Value', y='Vulnerability Score', hue='Prof G Categorization', data=df)\n",
        "\n",
        "ax.invert_yaxis()\n",
        "\n",
        "plt.show()"
      ],
      "execution_count": 13,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.6/dist-packages/pandas/core/series.py:679: RuntimeWarning: divide by zero encountered in log\n",
            "  result = getattr(ufunc, method)(*inputs, **kwargs)\n"
          ],
          "name": "stderr"
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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            "text/plain": [
              "<Figure size 1152x720 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "-5NTKHe6Mfh-",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 632
        },
        "outputId": "da9eb1bf-fda7-4470-b125-75c4addbb077"
      },
      "source": [
        "plt.figure(figsize=(16,10))\n",
        "\n",
        "df['Value-to-Cost Ratio'].plot(kind='box')\n",
        "\n",
        "plt.show()"
      ],
      "execution_count": 40,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 1152x720 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "_afRt-V0VSCT",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 632
        },
        "outputId": "0c3add9a-d77c-439c-b4af-e109b26fa100"
      },
      "source": [
        "plt.figure(figsize=(16,10))\n",
        "\n",
        "df['Vulnerability Score'].plot(kind='box')\n",
        "\n",
        "plt.show()"
      ],
      "execution_count": 41,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 1152x720 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "f6flyQNLUfJE",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 564
        },
        "outputId": "a28c0458-f00b-46e9-d80f-a15d9089e3db"
      },
      "source": [
        "df[df['Value-to-Cost Ratio']>10]"
      ],
      "execution_count": 36,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<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>Institution Name</th>\n",
              "      <th>Full Time Enrollment</th>\n",
              "      <th>State</th>\n",
              "      <th>Ranking List</th>\n",
              "      <th>Rank</th>\n",
              "      <th>Rank Pct Rank</th>\n",
              "      <th>Undergraduate Admit Rate</th>\n",
              "      <th>Undergraduate Admit Rate Pct Rank</th>\n",
              "      <th>Average Monthly Search Volume</th>\n",
              "      <th>Average Monthly Search Volume Pct Rank</th>\n",
              "      <th>Credential Score</th>\n",
              "      <th>Student Life Grade</th>\n",
              "      <th>Student Life Score</th>\n",
              "      <th>Experience Score</th>\n",
              "      <th>15-Year NPV</th>\n",
              "      <th>15-Year NPV PCT Rank</th>\n",
              "      <th>30-Year NPV</th>\n",
              "      <th>30-Year NPV PCT Rank</th>\n",
              "      <th>Instructional Wages per Full-Time Student</th>\n",
              "      <th>Instructional Wages per Full-Time Student PCT Rank</th>\n",
              "      <th>Eduation Score</th>\n",
              "      <th>Average Undergraduate Tuition</th>\n",
              "      <th>Average Undergraduate Tuition Score</th>\n",
              "      <th>Value\\n(C x E x E)</th>\n",
              "      <th>Value-to-Cost Ratio</th>\n",
              "      <th>Endowment per Full Time Student</th>\n",
              "      <th>Endowment per Full Time Student Pct Rank</th>\n",
              "      <th>Percentage of International Students</th>\n",
              "      <th>Percentage of International Students PCT Rank</th>\n",
              "      <th>Vulnerability Score</th>\n",
              "      <th>Prof G Categorization</th>\n",
              "      <th>Value</th>\n",
              "      <th>valmm</th>\n",
              "      <th>val_min_max</th>\n",
              "      <th>lack_most_value</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>31</th>\n",
              "      <td>Brigham Young University-Provo</td>\n",
              "      <td>30162</td>\n",
              "      <td>UT</td>\n",
              "      <td>USN National University Ranking</td>\n",
              "      <td>77</td>\n",
              "      <td>0.66</td>\n",
              "      <td>0.64</td>\n",
              "      <td>0.50</td>\n",
              "      <td>40500</td>\n",
              "      <td>0.55</td>\n",
              "      <td>1.71</td>\n",
              "      <td>A+</td>\n",
              "      <td>5.00</td>\n",
              "      <td>3.0</td>\n",
              "      <td>392000</td>\n",
              "      <td>0.89</td>\n",
              "      <td>973000</td>\n",
              "      <td>0.85</td>\n",
              "      <td>8891</td>\n",
              "      <td>0.49</td>\n",
              "      <td>2.23</td>\n",
              "      <td>5620</td>\n",
              "      <td>0.01</td>\n",
              "      <td>11.41</td>\n",
              "      <td>42.27</td>\n",
              "      <td>65460</td>\n",
              "      <td>0.47</td>\n",
              "      <td>0.02</td>\n",
              "      <td>0.26</td>\n",
              "      <td>0.73</td>\n",
              "      <td>Thrive</td>\n",
              "      <td>3.744078</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>0.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>71</th>\n",
              "      <td>CUNY City College</td>\n",
              "      <td>10988</td>\n",
              "      <td>NY</td>\n",
              "      <td>USN National University Ranking</td>\n",
              "      <td>228</td>\n",
              "      <td>0.14</td>\n",
              "      <td>0.48</td>\n",
              "      <td>0.72</td>\n",
              "      <td>2400</td>\n",
              "      <td>0.02</td>\n",
              "      <td>0.87</td>\n",
              "      <td>C+</td>\n",
              "      <td>3.00</td>\n",
              "      <td>1.8</td>\n",
              "      <td>342000</td>\n",
              "      <td>0.78</td>\n",
              "      <td>793000</td>\n",
              "      <td>0.58</td>\n",
              "      <td>10179</td>\n",
              "      <td>0.62</td>\n",
              "      <td>1.98</td>\n",
              "      <td>10975</td>\n",
              "      <td>0.01</td>\n",
              "      <td>3.11</td>\n",
              "      <td>16.78</td>\n",
              "      <td>28135</td>\n",
              "      <td>0.71</td>\n",
              "      <td>0.02</td>\n",
              "      <td>0.26</td>\n",
              "      <td>0.97</td>\n",
              "      <td>Survive</td>\n",
              "      <td>2.820188</td>\n",
              "      <td>0.396972</td>\n",
              "      <td>0.396972</td>\n",
              "      <td>0.603028</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>93</th>\n",
              "      <td>Florida Atlantic University</td>\n",
              "      <td>18562</td>\n",
              "      <td>FL</td>\n",
              "      <td>USN National University Ranking</td>\n",
              "      <td>281</td>\n",
              "      <td>0.03</td>\n",
              "      <td>0.59</td>\n",
              "      <td>0.59</td>\n",
              "      <td>60500</td>\n",
              "      <td>0.70</td>\n",
              "      <td>1.31</td>\n",
              "      <td>A-</td>\n",
              "      <td>4.33</td>\n",
              "      <td>2.6</td>\n",
              "      <td>294000</td>\n",
              "      <td>0.59</td>\n",
              "      <td>715000</td>\n",
              "      <td>0.35</td>\n",
              "      <td>6247</td>\n",
              "      <td>0.09</td>\n",
              "      <td>1.03</td>\n",
              "      <td>11054</td>\n",
              "      <td>0.01</td>\n",
              "      <td>3.50</td>\n",
              "      <td>14.17</td>\n",
              "      <td>16124</td>\n",
              "      <td>0.84</td>\n",
              "      <td>0.01</td>\n",
              "      <td>0.07</td>\n",
              "      <td>0.91</td>\n",
              "      <td>Thrive</td>\n",
              "      <td>2.651127</td>\n",
              "      <td>0.335226</td>\n",
              "      <td>0.335226</td>\n",
              "      <td>0.664774</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>96</th>\n",
              "      <td>Florida State University</td>\n",
              "      <td>34735</td>\n",
              "      <td>FL</td>\n",
              "      <td>USN National University Ranking</td>\n",
              "      <td>57</td>\n",
              "      <td>0.75</td>\n",
              "      <td>0.37</td>\n",
              "      <td>0.81</td>\n",
              "      <td>90500</td>\n",
              "      <td>0.82</td>\n",
              "      <td>2.38</td>\n",
              "      <td>A+</td>\n",
              "      <td>5.00</td>\n",
              "      <td>3.0</td>\n",
              "      <td>294000</td>\n",
              "      <td>0.59</td>\n",
              "      <td>746000</td>\n",
              "      <td>0.45</td>\n",
              "      <td>7439</td>\n",
              "      <td>0.29</td>\n",
              "      <td>1.32</td>\n",
              "      <td>12221</td>\n",
              "      <td>0.02</td>\n",
              "      <td>9.45</td>\n",
              "      <td>19.13</td>\n",
              "      <td>19616</td>\n",
              "      <td>0.80</td>\n",
              "      <td>0.06</td>\n",
              "      <td>0.64</td>\n",
              "      <td>1.43</td>\n",
              "      <td>Survive</td>\n",
              "      <td>2.951258</td>\n",
              "      <td>0.452567</td>\n",
              "      <td>0.452567</td>\n",
              "      <td>0.547433</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>384</th>\n",
              "      <td>University of South Florida-Main Campus</td>\n",
              "      <td>31546</td>\n",
              "      <td>FL</td>\n",
              "      <td>USN National University Ranking</td>\n",
              "      <td>104</td>\n",
              "      <td>0.55</td>\n",
              "      <td>0.43</td>\n",
              "      <td>0.76</td>\n",
              "      <td>74000</td>\n",
              "      <td>0.78</td>\n",
              "      <td>2.08</td>\n",
              "      <td>A+</td>\n",
              "      <td>5.00</td>\n",
              "      <td>3.0</td>\n",
              "      <td>290000</td>\n",
              "      <td>0.56</td>\n",
              "      <td>713000</td>\n",
              "      <td>0.34</td>\n",
              "      <td>8572</td>\n",
              "      <td>0.45</td>\n",
              "      <td>1.35</td>\n",
              "      <td>11867</td>\n",
              "      <td>0.02</td>\n",
              "      <td>8.42</td>\n",
              "      <td>19.50</td>\n",
              "      <td>14089</td>\n",
              "      <td>0.86</td>\n",
              "      <td>0.05</td>\n",
              "      <td>0.59</td>\n",
              "      <td>1.44</td>\n",
              "      <td>Survive</td>\n",
              "      <td>2.970414</td>\n",
              "      <td>0.461320</td>\n",
              "      <td>0.461320</td>\n",
              "      <td>0.538680</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                            Institution Name  ...  lack_most_value\n",
              "31            Brigham Young University-Provo  ...         0.000000\n",
              "71                         CUNY City College  ...         0.603028\n",
              "93               Florida Atlantic University  ...         0.664774\n",
              "96                  Florida State University  ...         0.547433\n",
              "384  University of South Florida-Main Campus  ...         0.538680\n",
              "\n",
              "[5 rows x 35 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 36
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Fq78-rFKSD0S",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "# think about reversing the scale of either value or vulnerability so that we can multiply them\n",
        "# df['val_min_max'] = (df['Value-to-Cost Ratio'] - min(df['Value-to-Cost Ratio'])) / ( max(df['Value-to-Cost Ratio']) - min(df['Value-to-Cost Ratio']) )\n",
        "\n",
        "# df['lack_most_value'] = 1 - df['val_min_max']\n",
        "\n",
        "# df['lack_most_value'].describe()"
      ],
      "execution_count": 42,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "et7_sf0RNhAc",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 308
        },
        "outputId": "2c20e355-e1aa-406f-c8ea-c67cef9b2896"
      },
      "source": [
        "from google.colab import data_table\n",
        "\n",
        "tbl = df[['Institution Name','Vulnerability Score', 'Value-to-Cost Ratio','Prof G Categorization']].\\\n",
        "sort_values(by=['Vulnerability Score', 'Value-to-Cost Ratio'], ascending=[False, True])\n",
        "\n",
        "data_table.DataTable(tbl, include_index=False, num_rows_per_page=10)"
      ],
      "execution_count": 43,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "application/vnd.google.colaboratory.module+javascript": "\n      import \"https://ssl.gstatic.com/colaboratory/data_table/a6224c040fa35dcf/data_table.js\";\n\n      window.createDataTable({\n        data: [[\"University of California-Santa Cruz\",\n{\n            'v': 1.9,\n            'f': \"1.9\",\n        },\n{\n            'v': 0.42,\n            'f': \"0.42\",\n        },\n\"Perish\"],\n [\"University of California-Davis\",\n{\n            'v': 1.87,\n            'f': \"1.87\",\n        },\n{\n            'v': 1.37,\n            'f': \"1.37\",\n        },\n\"Survive\"],\n [\"University of California-Irvine\",\n{\n            'v': 1.85,\n            'f': \"1.85\",\n        },\n{\n            'v': 1.94,\n            'f': \"1.94\",\n        },\n\"Survive\"],\n [\"University of California-Santa Barbara\",\n{\n            'v': 1.81,\n            'f': \"1.81\",\n        },\n{\n            'v': 1.45,\n            'f': \"1.45\",\n        },\n\"Survive\"],\n [\"Stony Brook University\",\n{\n            'v': 1.79,\n            'f': \"1.79\",\n        },\n{\n            'v': 2.36,\n            'f': \"2.36\",\n        },\n\"Survive\"],\n [\"Florida International University\",\n{\n            'v': 1.78,\n            'f': \"1.78\",\n        },\n{\n            'v': 7.11,\n            'f': \"7.11\",\n        },\n\"Survive\"],\n [\"University of California-San Diego\",\n{\n            'v': 1.71,\n            'f': \"1.71\",\n        },\n{\n            'v': 1.49,\n            'f': \"1.49\",\n        },\n\"Survive\"],\n [\"University of Massachusetts-Boston\",\n{\n            'v': 1.69,\n            'f': \"1.69\",\n        },\n{\n            'v': 0.48,\n            'f': \"0.48\",\n        },\n\"Survive\"],\n [\"Long Island University\",\n{\n            'v': 1.65,\n            'f': \"1.65\",\n        },\n{\n            'v': 0.11,\n            'f': \"0.11\",\n        },\n\"Perish\"],\n [\"University of Massachusetts-Amherst\",\n{\n            'v': 1.64,\n            'f': \"1.64\",\n        },\n{\n            'v': 1.48,\n            'f': \"1.48\",\n        },\n\"Survive\"],\n [\"Florida Institute of Technology\",\n{\n            'v': 1.6,\n            'f': \"1.6\",\n        },\n{\n            'v': 0.26,\n            'f': \"0.26\",\n        },\n\"Perish\"],\n [\"University of Connecticut\",\n{\n            'v': 1.6,\n            'f': \"1.6\",\n        },\n{\n            'v': 1.56,\n            'f': \"1.56\",\n        },\n\"Survive\"],\n [\"Binghamton University\",\n{\n            'v': 1.6,\n            'f': \"1.6\",\n        },\n{\n            'v': 2.44,\n            'f': \"2.44\",\n        },\n\"Survive\"],\n [\"The New School\",\n{\n            'v': 1.59,\n            'f': \"1.59\",\n        },\n{\n            'v': 0.13,\n            'f': \"0.13\",\n        },\n\"Perish\"],\n [\"University of Illinois at Chicago\",\n{\n            'v': 1.57,\n            'f': \"1.57\",\n        },\n{\n            'v': 1.19,\n            'f': \"1.19\",\n        },\n\"Survive\"],\n [\"University of Central Florida\",\n{\n            'v': 1.57,\n            'f': \"1.57\",\n        },\n{\n            'v': 3.34,\n            'f': \"3.34\",\n        },\n\"Survive\"],\n [\"Bennington College\",\n{\n            'v': 1.56,\n            'f': \"1.56\",\n        },\n{\n            'v': 0.1,\n            'f': \"0.1\",\n        },\n\"Perish\"],\n [\"University of North Texas\",\n{\n            'v': 1.56,\n            'f': \"1.56\",\n        },\n{\n            'v': 1.06,\n            'f': \"1.06\",\n        },\n\"Survive\"],\n [\"Nova Southeastern University\",\n{\n            'v': 1.55,\n            'f': \"1.55\",\n        },\n{\n            'v': 0.32,\n            'f': \"0.32\",\n        },\n\"Perish\"],\n [\"Northeastern University\",\n{\n            'v': 1.55,\n            'f': \"1.55\",\n        },\n{\n            'v': 0.93,\n            'f': \"0.93\",\n        },\n\"Survive\"],\n [\"University of New England\",\n{\n            'v': 1.54,\n            'f': \"1.54\",\n        },\n{\n            'v': 0.05,\n            'f': \"0.05\",\n        },\n\"Perish\"],\n [\"Pace University\",\n{\n            'v': 1.53,\n            'f': \"1.53\",\n        },\n{\n            'v': 0.33,\n            'f': \"0.33\",\n        },\n\"Perish\"],\n [\"University of Detroit Mercy\",\n{\n            'v': 1.49,\n            'f': \"1.49\",\n        },\n{\n            'v': 0.2,\n            'f': \"0.2\",\n        },\n\"Perish\"],\n [\"Colorado State University-Fort Collins\",\n{\n            'v': 1.49,\n            'f': \"1.49\",\n        },\n{\n            'v': 0.82,\n            'f': \"0.82\",\n        },\n\"Survive\"],\n [\"Rutgers University-New Brunswick\",\n{\n            'v': 1.49,\n            'f': \"1.49\",\n        },\n{\n            'v': 1.35,\n            'f': \"1.35\",\n        },\n\"Survive\"],\n [\"North Carolina A & T State University\",\n{\n            'v': 1.48,\n            'f': \"1.48\",\n        },\n{\n            'v': 0.47,\n            'f': \"0.47\",\n        },\n\"Survive\"],\n [\"University of San Francisco\",\n{\n            'v': 1.48,\n            'f': \"1.48\",\n        },\n{\n            'v': 0.51,\n            'f': \"0.51\",\n        },\n\"Survive\"],\n [\"SUNY at Albany\",\n{\n            'v': 1.48,\n            'f': \"1.48\",\n        },\n{\n            'v': 1.25,\n            'f': \"1.25\",\n        },\n\"Survive\"],\n [\"Arizona State University-Tempe\",\n{\n            'v': 1.48,\n            'f': \"1.48\",\n        },\n{\n            'v': 1.73,\n            'f': \"1.73\",\n        },\n\"Survive\"],\n [\"Gannon University\",\n{\n            'v': 1.47,\n            'f': \"1.47\",\n        },\n{\n            'v': 0.16,\n            'f': \"0.16\",\n        },\n\"Perish\"],\n [\"Georgia State University\",\n{\n            'v': 1.47,\n            'f': \"1.47\",\n        },\n{\n            'v': 0.92,\n            'f': \"0.92\",\n        },\n\"Survive\"],\n [\"University of Illinois at Urbana-Champaign\",\n{\n            'v': 1.46,\n            'f': \"1.46\",\n        },\n{\n            'v': 1.59,\n            'f': \"1.59\",\n        },\n\"Survive\"],\n [\"Bethel University\",\n{\n            'v': 1.45,\n            'f': \"1.45\",\n        },\n{\n            'v': 0.18,\n            'f': \"0.18\",\n        },\n\"Perish\"],\n [\"Illinois Institute of Technology\",\n{\n            'v': 1.45,\n            'f': \"1.45\",\n        },\n{\n            'v': 0.27,\n            'f': \"0.27\",\n        },\n\"Perish\"],\n [\"University of Missouri-St Louis\",\n{\n            'v': 1.45,\n            'f': \"1.45\",\n        },\n{\n            'v': 0.29,\n            'f': \"0.29\",\n        },\n\"Perish\"],\n [\"University of South Florida-Main Campus\",\n{\n            'v': 1.44,\n            'f': \"1.44\",\n        },\n{\n            'v': 19.5,\n            'f': \"19.5\",\n        },\n\"Survive\"],\n [\"University of La Verne\",\n{\n            'v': 1.43,\n            'f': \"1.43\",\n        },\n{\n            'v': 0.34,\n            'f': \"0.34\",\n        },\n\"Perish\"],\n [\"University of California-Berkeley\",\n{\n            'v': 1.43,\n            'f': \"1.43\",\n        },\n{\n            'v': 2.29,\n            'f': \"2.29\",\n        },\n\"Survive\"],\n [\"Florida State University\",\n{\n            'v': 1.43,\n            'f': \"1.43\",\n        },\n{\n            'v': 19.13,\n            'f': \"19.13\",\n        },\n\"Survive\"],\n [\"Robert Morris University\",\n{\n            'v': 1.42,\n            'f': \"1.42\",\n        },\n{\n            'v': 0.15,\n            'f': \"0.15\",\n        },\n\"Perish\"],\n [\"DePaul University\",\n{\n            'v': 1.41,\n            'f': \"1.41\",\n        },\n{\n            'v': 0.44,\n            'f': \"0.44\",\n        },\n\"Survive\"],\n [\"San Diego State University\",\n{\n            'v': 1.41,\n            'f': \"1.41\",\n        },\n{\n            'v': 8.72,\n            'f': \"8.72\",\n        },\n\"Survive\"],\n [\"Boston University\",\n{\n            'v': 1.4,\n            'f': \"1.4\",\n        },\n{\n            'v': 0.84,\n            'f': \"0.84\",\n        },\n\"Survive\"],\n [\"Bard College\",\n{\n            'v': 1.39,\n            'f': \"1.39\",\n        },\n{\n            'v': 0.12,\n            'f': \"0.12\",\n        },\n\"Perish\"],\n [\"Montana State University\",\n{\n            'v': 1.38,\n            'f': \"1.38\",\n        },\n{\n            'v': 0.51,\n            'f': \"0.51\",\n        },\n\"Survive\"],\n [\"University of Hawaii at Manoa\",\n{\n            'v': 1.38,\n            'f': \"1.38\",\n        },\n{\n            'v': 0.58,\n            'f': \"0.58\",\n        },\n\"Survive\"],\n [\"University of Oklahoma-Norman Campus\",\n{\n            'v': 1.38,\n            'f': \"1.38\",\n        },\n{\n            'v': 1.41,\n            'f': \"1.41\",\n        },\n\"Survive\"],\n [\"New Jersey Institute of Technology\",\n{\n            'v': 1.37,\n            'f': \"1.37\",\n        },\n{\n            'v': 0.67,\n            'f': \"0.67\",\n        },\n\"Survive\"],\n [\"University of Miami\",\n{\n            'v': 1.37,\n            'f': \"1.37\",\n        },\n{\n            'v': 0.88,\n            'f': \"0.88\",\n        },\n\"Survive\"],\n [\"Lake Forest College\",\n{\n            'v': 1.36,\n            'f': \"1.36\",\n        },\n{\n            'v': 0.19,\n            'f': \"0.19\",\n        },\n\"Perish\"],\n [\"Miami University-Oxford\",\n{\n            'v': 1.36,\n            'f': \"1.36\",\n        },\n{\n            'v': 0.54,\n            'f': \"0.54\",\n        },\n\"Survive\"],\n [\"Indiana University-Bloomington\",\n{\n            'v': 1.36,\n            'f': \"1.36\",\n        },\n{\n            'v': 0.91,\n            'f': \"0.91\",\n        },\n\"Survive\"],\n [\"University of California-Los Angeles\",\n{\n            'v': 1.36,\n            'f': \"1.36\",\n        },\n{\n            'v': 2.61,\n            'f': \"2.61\",\n        },\n\"Survive\"],\n [\"Drexel University\",\n{\n            'v': 1.34,\n            'f': \"1.34\",\n        },\n{\n            'v': 0.42,\n            'f': \"0.42\",\n        },\n\"Perish\"],\n [\"Gonzaga University\",\n{\n            'v': 1.34,\n            'f': \"1.34\",\n        },\n{\n            'v': 0.44,\n            'f': \"0.44\",\n        },\n\"Survive\"],\n [\"University of Missouri-Kansas City\",\n{\n            'v': 1.34,\n            'f': \"1.34\",\n        },\n{\n            'v': 1.96,\n            'f': \"1.96\",\n        },\n\"Survive\"],\n [\"Maryville University of Saint Louis\",\n{\n            'v': 1.33,\n            'f': \"1.33\",\n        },\n{\n            'v': 0.07,\n            'f': \"0.07\",\n        },\n\"Perish\"],\n [\"Syracuse University\",\n{\n            'v': 1.33,\n            'f': \"1.33\",\n        },\n{\n            'v': 0.68,\n            'f': \"0.68\",\n        },\n\"Survive\"],\n [\"Rutgers University-Newark\",\n{\n            'v': 1.33,\n            'f': \"1.33\",\n        },\n{\n            'v': 0.92,\n            'f': \"0.92\",\n        },\n\"Survive\"],\n [\"New York University\",\n{\n            'v': 1.31,\n            'f': \"1.31\",\n        },\n{\n            'v': 0.83,\n            'f': \"0.83\",\n        },\n\"Survive\"],\n [\"University of Washington-Seattle Campus\",\n{\n            'v': 1.31,\n            'f': \"1.31\",\n        },\n{\n            'v': 2.62,\n            'f': \"2.62\",\n        },\n\"Survive\"],\n [\"Elon University\",\n{\n            'v': 1.3,\n            'f': \"1.3\",\n        },\n{\n            'v': 0.37,\n            'f': \"0.37\",\n        },\n\"Perish\"],\n [\"Rutgers University-Camden\",\n{\n            'v': 1.3,\n            'f': \"1.3\",\n        },\n{\n            'v': 0.45,\n            'f': \"0.45\",\n        },\n\"Survive\"],\n [\"University of Minnesota-Morris\",\n{\n            'v': 1.3,\n            'f': \"1.3\",\n        },\n{\n            'v': 0.75,\n            'f': \"0.75\",\n        },\n\"Survive\"],\n [\"University of Florida\",\n{\n            'v': 1.3,\n            'f': \"1.3\",\n        },\n{\n            'v': 5.02,\n            'f': \"5.02\",\n        },\n\"Survive\"],\n [\"Rensselaer Polytechnic Institute\",\n{\n            'v': 1.29,\n            'f': \"1.29\",\n        },\n{\n            'v': 0.56,\n            'f': \"0.56\",\n        },\n\"Survive\"],\n [\"Sarah Lawrence College\",\n{\n            'v': 1.28,\n            'f': \"1.28\",\n        },\n{\n            'v': 0.08,\n            'f': \"0.08\",\n        },\n\"Perish\"],\n [\"Augustana College\",\n{\n            'v': 1.28,\n            'f': \"1.28\",\n        },\n{\n            'v': 0.29,\n            'f': \"0.29\",\n        },\n\"Perish\"],\n [\"Fordham University\",\n{\n            'v': 1.27,\n            'f': \"1.27\",\n        },\n{\n            'v': 0.42,\n            'f': \"0.42\",\n        },\n\"Perish\"],\n [\"University of Colorado-Boulder\",\n{\n            'v': 1.27,\n            'f': \"1.27\",\n        },\n{\n            'v': 0.92,\n            'f': \"0.92\",\n        },\n\"Survive\"],\n [\"Pennsylvania State University-Main Campus\",\n{\n            'v': 1.27,\n            'f': \"1.27\",\n        },\n{\n            'v': 1.28,\n            'f': \"1.28\",\n        },\n\"Survive\"],\n [\"University of Indianapolis\",\n{\n            'v': 1.26,\n            'f': \"1.26\",\n        },\n{\n            'v': 0.09,\n            'f': \"0.09\",\n        },\n\"Perish\"],\n [\"Beloit College\",\n{\n            'v': 1.26,\n            'f': \"1.26\",\n        },\n{\n            'v': 0.12,\n            'f': \"0.12\",\n        },\n\"Perish\"],\n [\"Loyola Marymount University\",\n{\n            'v': 1.26,\n            'f': \"1.26\",\n        },\n{\n            'v': 0.55,\n            'f': \"0.55\",\n        },\n\"Survive\"],\n [\"George Mason University\",\n{\n            'v': 1.25,\n            'f': \"1.25\",\n        },\n{\n            'v': 0.99,\n            'f': \"0.99\",\n        },\n\"Survive\"],\n [\"Franklin College\",\n{\n            'v': 1.24,\n            'f': \"1.24\",\n        },\n{\n            'v': 0.08,\n            'f': \"0.08\",\n        },\n\"Perish\"],\n [\"New Mexico State University-Main Campus\",\n{\n            'v': 1.24,\n            'f': \"1.24\",\n        },\n{\n            'v': 0.33,\n            'f': \"0.33\",\n        },\n\"Perish\"],\n [\"Purdue University-Main Campus\",\n{\n            'v': 1.24,\n            'f': \"1.24\",\n        },\n{\n            'v': 3.33,\n            'f': \"3.33\",\n        },\n\"Survive\"],\n [\"Drew University\",\n{\n            'v': 1.23,\n            'f': \"1.23\",\n        },\n{\n            'v': 0.23,\n            'f': \"0.23\",\n        },\n\"Perish\"],\n [\"Union University\",\n{\n            'v': 1.22,\n            'f': \"1.22\",\n        },\n{\n            'v': 0.29,\n            'f': \"0.29\",\n        },\n\"Perish\"],\n [\"Kent State University at Kent\",\n{\n            'v': 1.22,\n            'f': \"1.22\",\n        },\n{\n            'v': 0.4,\n            'f': \"0.4\",\n        },\n\"Perish\"],\n [\"Carnegie Mellon University\",\n{\n            'v': 1.22,\n            'f': \"1.22\",\n        },\n{\n            'v': 0.66,\n            'f': \"0.66\",\n        },\n\"Survive\"],\n [\"University of Maryland-College Park\",\n{\n            'v': 1.22,\n            'f': \"1.22\",\n        },\n{\n            'v': 1.84,\n            'f': \"1.84\",\n        },\n\"Survive\"],\n [\"St. John's College - NM\",\n{\n            'v': 1.21,\n            'f': \"1.21\",\n        },\n{\n            'v': 0.08,\n            'f': \"0.08\",\n        },\n\"Perish\"],\n [\"University of California-Riverside\",\n{\n            'v': 1.21,\n            'f': \"1.21\",\n        },\n{\n            'v': 0.91,\n            'f': \"0.91\",\n        },\n\"Survive\"],\n [\"College of the Atlantic\",\n{\n            'v': 1.2,\n            'f': \"1.2\",\n        },\n{\n            'v': 0.08,\n            'f': \"0.08\",\n        },\n\"Perish\"],\n [\"Franklin and Marshall College\",\n{\n            'v': 1.2,\n            'f': \"1.2\",\n        },\n{\n            'v': 0.3,\n            'f': \"0.3\",\n        },\n\"Perish\"],\n [\"University of Southern California\",\n{\n            'v': 1.19,\n            'f': \"1.19\",\n        },\n{\n            'v': 0.86,\n            'f': \"0.86\",\n        },\n\"Survive\"],\n [\"Lipscomb University\",\n{\n            'v': 1.18,\n            'f': \"1.18\",\n        },\n{\n            'v': 0.14,\n            'f': \"0.14\",\n        },\n\"Perish\"],\n [\"The College of Wooster\",\n{\n            'v': 1.18,\n            'f': \"1.18\",\n        },\n{\n            'v': 0.16,\n            'f': \"0.16\",\n        },\n\"Perish\"],\n [\"Temple University\",\n{\n            'v': 1.18,\n            'f': \"1.18\",\n        },\n{\n            'v': 1.39,\n            'f': \"1.39\",\n        },\n\"Survive\"],\n [\"Wartburg College\",\n{\n            'v': 1.17,\n            'f': \"1.17\",\n        },\n{\n            'v': 0.07,\n            'f': \"0.07\",\n        },\n\"Perish\"],\n [\"Biola University\",\n{\n            'v': 1.17,\n            'f': \"1.17\",\n        },\n{\n            'v': 0.09,\n            'f': \"0.09\",\n        },\n\"Perish\"],\n [\"Harding University\",\n{\n            'v': 1.17,\n            'f': \"1.17\",\n        },\n{\n            'v': 0.12,\n            'f': \"0.12\",\n        },\n\"Perish\"],\n [\"University of Rochester\",\n{\n            'v': 1.17,\n            'f': \"1.17\",\n        },\n{\n            'v': 0.6,\n            'f': \"0.6\",\n        },\n\"Survive\"],\n [\"Colorado School of Mines\",\n{\n            'v': 1.17,\n            'f': \"1.17\",\n        },\n{\n            'v': 1.11,\n            'f': \"1.11\",\n        },\n\"Survive\"],\n [\"Ohio State University-Main Campus\",\n{\n            'v': 1.17,\n            'f': \"1.17\",\n        },\n{\n            'v': 2.0,\n            'f': \"2.0\",\n        },\n\"Survive\"],\n [\"Georgia Institute of Technology-Main Campus\",\n{\n            'v': 1.17,\n            'f': \"1.17\",\n        },\n{\n            'v': 2.59,\n            'f': \"2.59\",\n        },\n\"Survive\"],\n [\"University of Alabama in Huntsville\",\n{\n            'v': 1.16,\n            'f': \"1.16\",\n        },\n{\n            'v': 0.24,\n            'f': \"0.24\",\n        },\n\"Perish\"],\n [\"Seton Hall University\",\n{\n            'v': 1.16,\n            'f': \"1.16\",\n        },\n{\n            'v': 0.36,\n            'f': \"0.36\",\n        },\n\"Perish\"],\n [\"Bowling Green State University-Main Campus\",\n{\n            'v': 1.16,\n            'f': \"1.16\",\n        },\n{\n            'v': 0.44,\n            'f': \"0.44\",\n        },\n\"Survive\"],\n [\"George Washington University\",\n{\n            'v': 1.16,\n            'f': \"1.16\",\n        },\n{\n            'v': 0.68,\n            'f': \"0.68\",\n        },\n\"Survive\"],\n [\"Oklahoma State University-Main Campus\",\n{\n            'v': 1.16,\n            'f': \"1.16\",\n        },\n{\n            'v': 1.2,\n            'f': \"1.2\",\n        },\n\"Survive\"],\n [\"University of the Incarnate Word\",\n{\n            'v': 1.15,\n            'f': \"1.15\",\n        },\n{\n            'v': 0.11,\n            'f': \"0.11\",\n        },\n\"Perish\"],\n [\"Luther College\",\n{\n            'v': 1.15,\n            'f': \"1.15\",\n        },\n{\n            'v': 0.19,\n            'f': \"0.19\",\n        },\n\"Perish\"],\n [\"Massachusetts College of Liberal Arts\",\n{\n            'v': 1.15,\n            'f': \"1.15\",\n        },\n{\n            'v': 0.29,\n            'f': \"0.29\",\n        },\n\"Perish\"],\n [\"Chapman University\",\n{\n            'v': 1.15,\n            'f': \"1.15\",\n        },\n{\n            'v': 0.3,\n            'f': \"0.3\",\n        },\n\"Perish\"],\n [\"Brandeis University\",\n{\n            'v': 1.15,\n            'f': \"1.15\",\n        },\n{\n            'v': 0.39,\n            'f': \"0.39\",\n        },\n\"Perish\"],\n [\"University of Nebraska-Lincoln\",\n{\n            'v': 1.15,\n            'f': \"1.15\",\n        },\n{\n            'v': 0.88,\n            'f': \"0.88\",\n        },\n\"Survive\"],\n [\"Michigan State University\",\n{\n            'v': 1.15,\n            'f': \"1.15\",\n        },\n{\n            'v': 1.23,\n            'f': \"1.23\",\n        },\n\"Survive\"],\n [\"The University of Texas at Dallas\",\n{\n            'v': 1.14,\n            'f': \"1.14\",\n        },\n{\n            'v': 0.35,\n            'f': \"0.35\",\n        },\n\"Perish\"],\n [\"University of St Francis\",\n{\n            'v': 1.14,\n            'f': \"1.14\",\n        },\n{\n            'v': 0.38,\n            'f': \"0.38\",\n        },\n\"Perish\"],\n [\"Knox College\",\n{\n            'v': 1.13,\n            'f': \"1.13\",\n        },\n{\n            'v': 0.08,\n            'f': \"0.08\",\n        },\n\"Perish\"],\n [\"St John's University-New York\",\n{\n            'v': 1.13,\n            'f': \"1.13\",\n        },\n{\n            'v': 0.35,\n            'f': \"0.35\",\n        },\n\"Perish\"],\n [\"Yeshiva University\",\n{\n            'v': 1.13,\n            'f': \"1.13\",\n        },\n{\n            'v': 0.39,\n            'f': \"0.39\",\n        },\n\"Perish\"],\n [\"Rochester Institute of Technology\",\n{\n            'v': 1.13,\n            'f': \"1.13\",\n        },\n{\n            'v': 0.49,\n            'f': \"0.49\",\n        },\n\"Survive\"],\n [\"University of Houston\",\n{\n            'v': 1.13,\n            'f': \"1.13\",\n        },\n{\n            'v': 3.08,\n            'f': \"3.08\",\n        },\n\"Survive\"],\n [\"South Dakota State University\",\n{\n            'v': 1.13,\n            'f': \"1.13\",\n        },\n{\n            'v': 9.21,\n            'f': \"9.21\",\n        },\n\"Survive\"],\n [\"University of Arizona\",\n{\n            'v': 1.12,\n            'f': \"1.12\",\n        },\n{\n            'v': 0.92,\n            'f': \"0.92\",\n        },\n\"Survive\"],\n [\"Western Michigan University\",\n{\n            'v': 1.12,\n            'f': \"1.12\",\n        },\n{\n            'v': 2.06,\n            'f': \"2.06\",\n        },\n\"Survive\"],\n [\"Covenant College\",\n{\n            'v': 1.11,\n            'f': \"1.11\",\n        },\n{\n            'v': 0.03,\n            'f': \"0.03\",\n        },\n\"Perish\"],\n [\"The College of Idaho\",\n{\n            'v': 1.11,\n            'f': \"1.11\",\n        },\n{\n            'v': 0.13,\n            'f': \"0.13\",\n        },\n\"Perish\"],\n [\"Meredith College\",\n{\n            'v': 1.1,\n            'f': \"1.1\",\n        },\n{\n            'v': 0.08,\n            'f': \"0.08\",\n        },\n\"Perish\"],\n [\"St. John's College - MD\",\n{\n            'v': 1.1,\n            'f': \"1.1\",\n        },\n{\n            'v': 0.12,\n            'f': \"0.12\",\n        },\n\"Perish\"],\n [\"Mount Holyoke College\",\n{\n            'v': 1.1,\n            'f': \"1.1\",\n        },\n{\n            'v': 0.3,\n            'f': \"0.3\",\n        },\n\"Perish\"],\n [\"University of Memphis\",\n{\n            'v': 1.1,\n            'f': \"1.1\",\n        },\n{\n            'v': 0.47,\n            'f': \"0.47\",\n        },\n\"Survive\"],\n [\"University of Utah\",\n{\n            'v': 1.1,\n            'f': \"1.1\",\n        },\n{\n            'v': 2.45,\n            'f': \"2.45\",\n        },\n\"Survive\"],\n [\"The College of Saint Scholastica\",\n{\n            'v': 1.09,\n            'f': \"1.09\",\n        },\n{\n            'v': 0.13,\n            'f': \"0.13\",\n        },\n\"Perish\"],\n [\"College of Saint Benedict\",\n{\n            'v': 1.09,\n            'f': \"1.09\",\n        },\n{\n            'v': 0.15,\n            'f': \"0.15\",\n        },\n\"Perish\"],\n [\"Adelphi University\",\n{\n            'v': 1.09,\n            'f': \"1.09\",\n        },\n{\n            'v': 0.42,\n            'f': \"0.42\",\n        },\n\"Perish\"],\n [\"Barnard College\",\n{\n            'v': 1.09,\n            'f': \"1.09\",\n        },\n{\n            'v': 0.71,\n            'f': \"0.71\",\n        },\n\"Survive\"],\n [\"University of Oregon\",\n{\n            'v': 1.09,\n            'f': \"1.09\",\n        },\n{\n            'v': 0.73,\n            'f': \"0.73\",\n        },\n\"Survive\"],\n [\"Eckerd College\",\n{\n            'v': 1.08,\n            'f': \"1.08\",\n        },\n{\n            'v': 0.07,\n            'f': \"0.07\",\n        },\n\"Perish\"],\n [\"Dickinson College\",\n{\n            'v': 1.08,\n            'f': \"1.08\",\n        },\n{\n            'v': 0.26,\n            'f': \"0.26\",\n        },\n\"Perish\"],\n [\"Skidmore College\",\n{\n            'v': 1.08,\n            'f': \"1.08\",\n        },\n{\n            'v': 0.38,\n            'f': \"0.38\",\n        },\n\"Perish\"],\n [\"Clarke University\",\n{\n            'v': 1.07,\n            'f': \"1.07\",\n        },\n{\n            'v': 0.03,\n            'f': \"0.03\",\n        },\n\"Perish\"],\n [\"Pacific University\",\n{\n            'v': 1.07,\n            'f': \"1.07\",\n        },\n{\n            'v': 0.04,\n            'f': \"0.04\",\n        },\n\"Perish\"],\n [\"Earlham College\",\n{\n            'v': 1.07,\n            'f': \"1.07\",\n        },\n{\n            'v': 0.09,\n            'f': \"0.09\",\n        },\n\"Perish\"],\n [\"Case Western Reserve University\",\n{\n            'v': 1.07,\n            'f': \"1.07\",\n        },\n{\n            'v': 0.78,\n            'f': \"0.78\",\n        },\n\"Survive\"],\n [\"North Dakota State University-Main Campus\",\n{\n            'v': 1.07,\n            'f': \"1.07\",\n        },\n{\n            'v': 2.8,\n            'f': \"2.8\",\n        },\n\"Survive\"],\n [\"Wilkes University\",\n{\n            'v': 1.06,\n            'f': \"1.06\",\n        },\n{\n            'v': 0.22,\n            'f': \"0.22\",\n        },\n\"Perish\"],\n [\"Hofstra University\",\n{\n            'v': 1.06,\n            'f': \"1.06\",\n        },\n{\n            'v': 0.3,\n            'f': \"0.3\",\n        },\n\"Perish\"],\n [\"Pepperdine University\",\n{\n            'v': 1.06,\n            'f': \"1.06\",\n        },\n{\n            'v': 0.56,\n            'f': \"0.56\",\n        },\n\"Survive\"],\n [\"Iowa State University\",\n{\n            'v': 1.06,\n            'f': \"1.06\",\n        },\n{\n            'v': 1.96,\n            'f': \"1.96\",\n        },\n\"Survive\"],\n [\"Cornell College\",\n{\n            'v': 1.05,\n            'f': \"1.05\",\n        },\n{\n            'v': 0.1,\n            'f': \"0.1\",\n        },\n\"Perish\"],\n [\"Macalester College\",\n{\n            'v': 1.05,\n            'f': \"1.05\",\n        },\n{\n            'v': 0.28,\n            'f': \"0.28\",\n        },\n\"Perish\"],\n [\"Trinity College\",\n{\n            'v': 1.05,\n            'f': \"1.05\",\n        },\n{\n            'v': 0.43,\n            'f': \"0.43\",\n        },\n\"Perish\"],\n [\"Bryn Mawr College\",\n{\n            'v': 1.05,\n            'f': \"1.05\",\n        },\n{\n            'v': 0.57,\n            'f': \"0.57\",\n        },\n\"Survive\"],\n [\"Wake Forest University\",\n{\n            'v': 1.05,\n            'f': \"1.05\",\n        },\n{\n            'v': 0.78,\n            'f': \"0.78\",\n        },\n\"Survive\"],\n [\"Towson University\",\n{\n            'v': 1.05,\n            'f': \"1.05\",\n        },\n{\n            'v': 1.48,\n            'f': \"1.48\",\n        },\n\"Survive\"],\n [\"Baker University\",\n{\n            'v': 1.04,\n            'f': \"1.04\",\n        },\n{\n            'v': 0.11,\n            'f': \"0.11\",\n        },\n\"Perish\"],\n [\"Gardner-Webb University\",\n{\n            'v': 1.04,\n            'f': \"1.04\",\n        },\n{\n            'v': 0.11,\n            'f': \"0.11\",\n        },\n\"Perish\"],\n [\"University of Hartford\",\n{\n            'v': 1.04,\n            'f': \"1.04\",\n        },\n{\n            'v': 0.12,\n            'f': \"0.12\",\n        },\n\"Perish\"],\n [\"Lawrence University\",\n{\n            'v': 1.04,\n            'f': \"1.04\",\n        },\n{\n            'v': 0.18,\n            'f': \"0.18\",\n        },\n\"Perish\"],\n [\"Denison University\",\n{\n            'v': 1.04,\n            'f': \"1.04\",\n        },\n{\n            'v': 0.34,\n            'f': \"0.34\",\n        },\n\"Perish\"],\n [\"Grand Valley State University\",\n{\n            'v': 1.04,\n            'f': \"1.04\",\n        },\n{\n            'v': 0.69,\n            'f': \"0.69\",\n        },\n\"Survive\"],\n [\"Tufts University\",\n{\n            'v': 1.04,\n            'f': \"1.04\",\n        },\n{\n            'v': 0.81,\n            'f': \"0.81\",\n        },\n\"Survive\"],\n [\"Georgetown University\",\n{\n            'v': 1.04,\n            'f': \"1.04\",\n        },\n{\n            'v': 0.99,\n            'f': \"0.99\",\n        },\n\"Survive\"],\n [\"The Sage Colleges\",\n{\n            'v': 1.03,\n            'f': \"1.03\",\n        },\n{\n            'v': 0.02,\n            'f': \"0.02\",\n        },\n\"Perish\"],\n [\"St Lawrence University\",\n{\n            'v': 1.03,\n            'f': \"1.03\",\n        },\n{\n            'v': 0.24,\n            'f': \"0.24\",\n        },\n\"Perish\"],\n [\"Clark University\",\n{\n            'v': 1.03,\n            'f': \"1.03\",\n        },\n{\n            'v': 0.26,\n            'f': \"0.26\",\n        },\n\"Perish\"],\n [\"Stevens Institute of Technology\",\n{\n            'v': 1.03,\n            'f': \"1.03\",\n        },\n{\n            'v': 0.66,\n            'f': \"0.66\",\n        },\n\"Survive\"],\n [\"SUNY Buffalo State\",\n{\n            'v': 1.03,\n            'f': \"1.03\",\n        },\n{\n            'v': 1.48,\n            'f': \"1.48\",\n        },\n\"Survive\"],\n [\"University of Wisconsin-Madison\",\n{\n            'v': 1.03,\n            'f': \"1.03\",\n        },\n{\n            'v': 1.9,\n            'f': \"1.9\",\n        },\n\"Survive\"],\n [\"California State University-Fresno\",\n{\n            'v': 1.03,\n            'f': \"1.03\",\n        },\n{\n            'v': 4.45,\n            'f': \"4.45\",\n        },\n\"Survive\"],\n [\"Worcester Polytechnic Institute\",\n{\n            'v': 1.02,\n            'f': \"1.02\",\n        },\n{\n            'v': 0.63,\n            'f': \"0.63\",\n        },\n\"Survive\"],\n [\"Brown University\",\n{\n            'v': 1.02,\n            'f': \"1.02\",\n        },\n{\n            'v': 0.87,\n            'f': \"0.87\",\n        },\n\"Survive\"],\n [\"University of Iowa\",\n{\n            'v': 1.02,\n            'f': \"1.02\",\n        },\n{\n            'v': 1.74,\n            'f': \"1.74\",\n        },\n\"Survive\"],\n [\"George Fox University\",\n{\n            'v': 1.01,\n            'f': \"1.01\",\n        },\n{\n            'v': 0.08,\n            'f': \"0.08\",\n        },\n\"Perish\"],\n [\"Daemen College\",\n{\n            'v': 1.01,\n            'f': \"1.01\",\n        },\n{\n            'v': 0.15,\n            'f': \"0.15\",\n        },\n\"Perish\"],\n [\"Claremont McKenna College\",\n{\n            'v': 1.01,\n            'f': \"1.01\",\n        },\n{\n            'v': 0.62,\n            'f': \"0.62\",\n        },\n\"Survive\"],\n [\"University of Massachusetts-Lowell\",\n{\n            'v': 1.01,\n            'f': \"1.01\",\n        },\n{\n            'v': 0.66,\n            'f': \"0.66\",\n        },\n\"Survive\"],\n [\"University of Chicago\",\n{\n            'v': 1.01,\n            'f': \"1.01\",\n        },\n{\n            'v': 0.84,\n            'f': \"0.84\",\n        },\n\"Survive\"],\n [\"University of North Carolina Wilmington\",\n{\n            'v': 1.01,\n            'f': \"1.01\",\n        },\n{\n            'v': 0.93,\n            'f': \"0.93\",\n        },\n\"Survive\"],\n [\"Emory University\",\n{\n            'v': 1.01,\n            'f': \"1.01\",\n        },\n{\n            'v': 0.99,\n            'f': \"0.99\",\n        },\n\"Survive\"],\n [\"Texas Tech University\",\n{\n            'v': 1.01,\n            'f': \"1.01\",\n        },\n{\n            'v': 3.49,\n            'f': \"3.49\",\n        },\n\"Survive\"],\n [\"Tennessee Technological University\",\n{\n            'v': 1.0,\n            'f': \"1.0\",\n        },\n{\n            'v': 0.12,\n            'f': \"0.12\",\n        },\n\"Perish\"],\n [\"Willamette University\",\n{\n            'v': 1.0,\n            'f': \"1.0\",\n        },\n{\n            'v': 0.12,\n            'f': \"0.12\",\n        },\n\"Perish\"],\n [\"University of Massachusetts-Dartmouth\",\n{\n            'v': 1.0,\n            'f': \"1.0\",\n        },\n{\n            'v': 0.35,\n            'f': \"0.35\",\n        },\n\"Perish\"],\n [\"DePauw University\",\n{\n            'v': 1.0,\n            'f': \"1.0\",\n        },\n{\n            'v': 0.39,\n            'f': \"0.39\",\n        },\n\"Perish\"],\n [\"Wesleyan University\",\n{\n            'v': 1.0,\n            'f': \"1.0\",\n        },\n{\n            'v': 0.58,\n            'f': \"0.58\",\n        },\n\"Survive\"],\n [\"Bates College\",\n{\n            'v': 1.0,\n            'f': \"1.0\",\n        },\n{\n            'v': 0.61,\n            'f': \"0.61\",\n        },\n\"Survive\"],\n [\"Santa Clara University\",\n{\n            'v': 1.0,\n            'f': \"1.0\",\n        },\n{\n            'v': 0.71,\n            'f': \"0.71\",\n        },\n\"Survive\"],\n [\"Louisiana Tech University\",\n{\n            'v': 1.0,\n            'f': \"1.0\",\n        },\n{\n            'v': 0.97,\n            'f': \"0.97\",\n        },\n\"Survive\"],\n [\"Montclair State University\",\n{\n            'v': 1.0,\n            'f': \"1.0\",\n        },\n{\n            'v': 1.33,\n            'f': \"1.33\",\n        },\n\"Survive\"],\n [\"Concordia College at Moorhead\",\n{\n            'v': 0.99,\n            'f': \"0.99\",\n        },\n{\n            'v': 0.12,\n            'f': \"0.12\",\n        },\n\"Perish\"],\n [\"Simmons University\",\n{\n            'v': 0.99,\n            'f': \"0.99\",\n        },\n{\n            'v': 0.28,\n            'f': \"0.28\",\n        },\n\"Perish\"],\n [\"The University of Alabama\",\n{\n            'v': 0.99,\n            'f': \"0.99\",\n        },\n{\n            'v': 0.62,\n            'f': \"0.62\",\n        },\n\"Survive\"],\n [\"University of North Carolina at Charlotte\",\n{\n            'v': 0.99,\n            'f': \"0.99\",\n        },\n{\n            'v': 3.05,\n            'f': \"3.05\",\n        },\n\"Survive\"],\n [\"Oberlin College\",\n{\n            'v': 0.98,\n            'f': \"0.98\",\n        },\n{\n            'v': 0.19,\n            'f': \"0.19\",\n        },\n\"Perish\"],\n [\"Kenyon College\",\n{\n            'v': 0.98,\n            'f': \"0.98\",\n        },\n{\n            'v': 0.27,\n            'f': \"0.27\",\n        },\n\"Perish\"],\n [\"Pitzer College\",\n{\n            'v': 0.98,\n            'f': \"0.98\",\n        },\n{\n            'v': 0.28,\n            'f': \"0.28\",\n        },\n\"Perish\"],\n [\"Loyola University Chicago\",\n{\n            'v': 0.98,\n            'f': \"0.98\",\n        },\n{\n            'v': 0.29,\n            'f': \"0.29\",\n        },\n\"Perish\"],\n [\"University of the Pacific\",\n{\n            'v': 0.98,\n            'f': \"0.98\",\n        },\n{\n            'v': 0.41,\n            'f': \"0.41\",\n        },\n\"Perish\"],\n [\"Smith College\",\n{\n            'v': 0.98,\n            'f': \"0.98\",\n        },\n{\n            'v': 0.42,\n            'f': \"0.42\",\n        },\n\"Perish\"],\n [\"Missouri University of Science and Technology\",\n{\n            'v': 0.98,\n            'f': \"0.98\",\n        },\n{\n            'v': 0.53,\n            'f': \"0.53\",\n        },\n\"Survive\"],\n [\"Haverford College\",\n{\n            'v': 0.98,\n            'f': \"0.98\",\n        },\n{\n            'v': 0.64,\n            'f': \"0.64\",\n        },\n\"Survive\"],\n [\"Campbell University\",\n{\n            'v': 0.97,\n            'f': \"0.97\",\n        },\n{\n            'v': 0.15,\n            'f': \"0.15\",\n        },\n\"Perish\"],\n [\"Grinnell College\",\n{\n            'v': 0.97,\n            'f': \"0.97\",\n        },\n{\n            'v': 0.45,\n            'f': \"0.45\",\n        },\n\"Survive\"],\n [\"Central Michigan University\",\n{\n            'v': 0.97,\n            'f': \"0.97\",\n        },\n{\n            'v': 0.48,\n            'f': \"0.48\",\n        },\n\"Survive\"],\n [\"William Carey University\",\n{\n            'v': 0.97,\n            'f': \"0.97\",\n        },\n{\n            'v': 0.68,\n            'f': \"0.68\",\n        },\n\"Survive\"],\n [\"University of New Mexico-Main Campus\",\n{\n            'v': 0.97,\n            'f': \"0.97\",\n        },\n{\n            'v': 0.72,\n            'f': \"0.72\",\n        },\n\"Survive\"],\n [\"CUNY City College\",\n{\n            'v': 0.97,\n            'f': \"0.97\",\n        },\n{\n            'v': 16.78,\n            'f': \"16.78\",\n        },\n\"Survive\"],\n [\"Vassar College\",\n{\n            'v': 0.96,\n            'f': \"0.96\",\n        },\n{\n            'v': 0.52,\n            'f': \"0.52\",\n        },\n\"Survive\"],\n [\"University of Rhode Island\",\n{\n            'v': 0.96,\n            'f': \"0.96\",\n        },\n{\n            'v': 0.67,\n            'f': \"0.67\",\n        },\n\"Survive\"],\n [\"Kansas State University\",\n{\n            'v': 0.96,\n            'f': \"0.96\",\n        },\n{\n            'v': 0.72,\n            'f': \"0.72\",\n        },\n\"Survive\"],\n [\"Lehigh University\",\n{\n            'v': 0.96,\n            'f': \"0.96\",\n        },\n{\n            'v': 0.83,\n            'f': \"0.83\",\n        },\n\"Survive\"],\n [\"Columbia University in the City of New York\",\n{\n            'v': 0.96,\n            'f': \"0.96\",\n        },\n{\n            'v': 0.97,\n            'f': \"0.97\",\n        },\n\"Survive\"],\n [\"Vanderbilt University\",\n{\n            'v': 0.96,\n            'f': \"0.96\",\n        },\n{\n            'v': 1.11,\n            'f': \"1.11\",\n        },\n\"Survive\"],\n [\"West Virginia University\",\n{\n            'v': 0.96,\n            'f': \"0.96\",\n        },\n{\n            'v': 1.43,\n            'f': \"1.43\",\n        },\n\"Survive\"],\n [\"University of North Dakota\",\n{\n            'v': 0.96,\n            'f': \"0.96\",\n        },\n{\n            'v': 1.64,\n            'f': \"1.64\",\n        },\n\"Survive\"],\n [\"North Carolina State University at Raleigh\",\n{\n            'v': 0.96,\n            'f': \"0.96\",\n        },\n{\n            'v': 1.9,\n            'f': \"1.9\",\n        },\n\"Survive\"],\n [\"Loyola University New Orleans\",\n{\n            'v': 0.95,\n            'f': \"0.95\",\n        },\n{\n            'v': 0.08,\n            'f': \"0.08\",\n        },\n\"Struggle\"],\n [\"Ohio Wesleyan University\",\n{\n            'v': 0.95,\n            'f': \"0.95\",\n        },\n{\n            'v': 0.11,\n            'f': \"0.11\",\n        },\n\"Perish\"],\n [\"Juniata College\",\n{\n            'v': 0.95,\n            'f': \"0.95\",\n        },\n{\n            'v': 0.16,\n            'f': \"0.16\",\n        },\n\"Struggle\"],\n [\"St Olaf College\",\n{\n            'v': 0.95,\n            'f': \"0.95\",\n        },\n{\n            'v': 0.33,\n            'f': \"0.33\",\n        },\n\"Struggle\"],\n [\"Regis University\",\n{\n            'v': 0.95,\n            'f': \"0.95\",\n        },\n{\n            'v': 0.45,\n            'f': \"0.45\",\n        },\n\"Thrive\"],\n [\"University of Denver\",\n{\n            'v': 0.95,\n            'f': \"0.95\",\n        },\n{\n            'v': 0.54,\n            'f': \"0.54\",\n        },\n\"Survive\"],\n [\"College of William and Mary\",\n{\n            'v': 0.95,\n            'f': \"0.95\",\n        },\n{\n            'v': 0.64,\n            'f': \"0.64\",\n        },\n\"Survive\"],\n [\"Wellesley College\",\n{\n            'v': 0.95,\n            'f': \"0.95\",\n        },\n{\n            'v': 0.72,\n            'f': \"0.72\",\n        },\n\"Survive\"],\n [\"Illinois State University\",\n{\n            'v': 0.95,\n            'f': \"0.95\",\n        },\n{\n            'v': 0.84,\n            'f': \"0.84\",\n        },\n\"Survive\"],\n [\"Johns Hopkins University\",\n{\n            'v': 0.95,\n            'f': \"0.95\",\n        },\n{\n            'v': 0.88,\n            'f': \"0.88\",\n        },\n\"Thrive\"],\n [\"University of Minnesota-Twin Cities\",\n{\n            'v': 0.95,\n            'f': \"0.95\",\n        },\n{\n            'v': 1.45,\n            'f': \"1.45\",\n        },\n\"Survive\"],\n [\"Oregon State University\",\n{\n            'v': 0.94,\n            'f': \"0.94\",\n        },\n{\n            'v': 0.99,\n            'f': \"0.99\",\n        },\n\"Thrive\"],\n [\"Rowan University\",\n{\n            'v': 0.94,\n            'f': \"0.94\",\n        },\n{\n            'v': 1.06,\n            'f': \"1.06\",\n        },\n\"Thrive\"],\n [\"Sam Houston State University\",\n{\n            'v': 0.94,\n            'f': \"0.94\",\n        },\n{\n            'v': 2.88,\n            'f': \"2.88\",\n        },\n\"Thrive\"],\n [\"University of San Diego\",\n{\n            'v': 0.93,\n            'f': \"0.93\",\n        },\n{\n            'v': 0.61,\n            'f': \"0.61\",\n        },\n\"Thrive\"],\n [\"University of North Carolina at Asheville\",\n{\n            'v': 0.92,\n            'f': \"0.92\",\n        },\n{\n            'v': 0.14,\n            'f': \"0.14\",\n        },\n\"Struggle\"],\n [\"Southern Illinois University-Carbondale\",\n{\n            'v': 0.92,\n            'f': \"0.92\",\n        },\n{\n            'v': 0.19,\n            'f': \"0.19\",\n        },\n\"Struggle\"],\n [\"Connecticut College\",\n{\n            'v': 0.92,\n            'f': \"0.92\",\n        },\n{\n            'v': 0.33,\n            'f': \"0.33\",\n        },\n\"Struggle\"],\n [\"Old Dominion University\",\n{\n            'v': 0.92,\n            'f': \"0.92\",\n        },\n{\n            'v': 0.39,\n            'f': \"0.39\",\n        },\n\"Struggle\"],\n [\"University of Idaho\",\n{\n            'v': 0.92,\n            'f': \"0.92\",\n        },\n{\n            'v': 0.77,\n            'f': \"0.77\",\n        },\n\"Thrive\"],\n [\"University of Alaska Fairbanks\",\n{\n            'v': 0.92,\n            'f': \"0.92\",\n        },\n{\n            'v': 0.94,\n            'f': \"0.94\",\n        },\n\"Thrive\"],\n [\"East Carolina University\",\n{\n            'v': 0.92,\n            'f': \"0.92\",\n        },\n{\n            'v': 1.08,\n            'f': \"1.08\",\n        },\n\"Thrive\"],\n [\"University of North Florida\",\n{\n            'v': 0.92,\n            'f': \"0.92\",\n        },\n{\n            'v': 1.8,\n            'f': \"1.8\",\n        },\n\"Thrive\"],\n [\"Lincoln Memorial University\",\n{\n            'v': 0.91,\n            'f': \"0.91\",\n        },\n{\n            'v': 0.13,\n            'f': \"0.13\",\n        },\n\"Struggle\"],\n [\"Westminster College\",\n{\n            'v': 0.91,\n            'f': \"0.91\",\n        },\n{\n            'v': 0.43,\n            'f': \"0.43\",\n        },\n\"Thrive\"],\n [\"Cornell University\",\n{\n            'v': 0.91,\n            'f': \"0.91\",\n        },\n{\n            'v': 0.94,\n            'f': \"0.94\",\n        },\n\"Thrive\"],\n [\"University of Pennsylvania\",\n{\n            'v': 0.91,\n            'f': \"0.91\",\n        },\n{\n            'v': 0.97,\n            'f': \"0.97\",\n        },\n\"Thrive\"],\n [\"Rice University\",\n{\n            'v': 0.91,\n            'f': \"0.91\",\n        },\n{\n            'v': 1.21,\n            'f': \"1.21\",\n        },\n\"Thrive\"],\n [\"University of Kansas\",\n{\n            'v': 0.91,\n            'f': \"0.91\",\n        },\n{\n            'v': 1.36,\n            'f': \"1.36\",\n        },\n\"Thrive\"],\n [\"Florida Atlantic University\",\n{\n            'v': 0.91,\n            'f': \"0.91\",\n        },\n{\n            'v': 14.17,\n            'f': \"14.17\",\n        },\n\"Thrive\"],\n [\"American University\",\n{\n            'v': 0.9,\n            'f': \"0.9\",\n        },\n{\n            'v': 0.45,\n            'f': \"0.45\",\n        },\n\"Thrive\"],\n [\"Carleton College\",\n{\n            'v': 0.9,\n            'f': \"0.9\",\n        },\n{\n            'v': 0.52,\n            'f': \"0.52\",\n        },\n\"Thrive\"],\n [\"Saint Louis University\",\n{\n            'v': 0.9,\n            'f': \"0.9\",\n        },\n{\n            'v': 0.63,\n            'f': \"0.63\",\n        },\n\"Thrive\"],\n [\"Boston College\",\n{\n            'v': 0.9,\n            'f': \"0.9\",\n        },\n{\n            'v': 0.81,\n            'f': \"0.81\",\n        },\n\"Thrive\"],\n [\"Lewis & Clark College\",\n{\n            'v': 0.89,\n            'f': \"0.89\",\n        },\n{\n            'v': 0.1,\n            'f': \"0.1\",\n        },\n\"Struggle\"],\n [\"Hollins University\",\n{\n            'v': 0.89,\n            'f': \"0.89\",\n        },\n{\n            'v': 0.14,\n            'f': \"0.14\",\n        },\n\"Struggle\"],\n [\"Azusa Pacific University\",\n{\n            'v': 0.89,\n            'f': \"0.89\",\n        },\n{\n            'v': 0.28,\n            'f': \"0.28\",\n        },\n\"Struggle\"],\n [\"Millsaps College\",\n{\n            'v': 0.89,\n            'f': \"0.89\",\n        },\n{\n            'v': 0.29,\n            'f': \"0.29\",\n        },\n\"Struggle\"],\n [\"Michigan Technological University\",\n{\n            'v': 0.89,\n            'f': \"0.89\",\n        },\n{\n            'v': 0.47,\n            'f': \"0.47\",\n        },\n\"Thrive\"],\n [\"Harvey Mudd College\",\n{\n            'v': 0.89,\n            'f': \"0.89\",\n        },\n{\n            'v': 0.49,\n            'f': \"0.49\",\n        },\n\"Thrive\"],\n [\"Colby College\",\n{\n            'v': 0.89,\n            'f': \"0.89\",\n        },\n{\n            'v': 0.61,\n            'f': \"0.61\",\n        },\n\"Thrive\"],\n [\"Northwestern University\",\n{\n            'v': 0.89,\n            'f': \"0.89\",\n        },\n{\n            'v': 0.99,\n            'f': \"0.99\",\n        },\n\"Thrive\"],\n [\"Princeton University\",\n{\n            'v': 0.89,\n            'f': \"0.89\",\n        },\n{\n            'v': 1.21,\n            'f': \"1.21\",\n        },\n\"Thrive\"],\n [\"Washington State University\",\n{\n            'v': 0.89,\n            'f': \"0.89\",\n        },\n{\n            'v': 1.43,\n            'f': \"1.43\",\n        },\n\"Thrive\"],\n [\"Edgewood College\",\n{\n            'v': 0.88,\n            'f': \"0.88\",\n        },\n{\n            'v': 0.1,\n            'f': \"0.1\",\n        },\n\"Struggle\"],\n [\"Swarthmore College\",\n{\n            'v': 0.88,\n            'f': \"0.88\",\n        },\n{\n            'v': 0.67,\n            'f': \"0.67\",\n        },\n\"Thrive\"],\n [\"SUNY College of Environmental Science and Forestry\",\n{\n            'v': 0.88,\n            'f': \"0.88\",\n        },\n{\n            'v': 2.42,\n            'f': \"2.42\",\n        },\n\"Thrive\"],\n [\"University of South Dakota\",\n{\n            'v': 0.88,\n            'f': \"0.88\",\n        },\n{\n            'v': 7.49,\n            'f': \"7.49\",\n        },\n\"Thrive\"],\n [\"Lycoming College\",\n{\n            'v': 0.87,\n            'f': \"0.87\",\n        },\n{\n            'v': 0.14,\n            'f': \"0.14\",\n        },\n\"Struggle\"],\n [\"Seattle University\",\n{\n            'v': 0.87,\n            'f': \"0.87\",\n        },\n{\n            'v': 0.37,\n            'f': \"0.37\",\n        },\n\"Struggle\"],\n [\"Ball State University\",\n{\n            'v': 0.87,\n            'f': \"0.87\",\n        },\n{\n            'v': 0.67,\n            'f': \"0.67\",\n        },\n\"Thrive\"],\n [\"University of Nevada-Reno\",\n{\n            'v': 0.87,\n            'f': \"0.87\",\n        },\n{\n            'v': 1.01,\n            'f': \"1.01\",\n        },\n\"Thrive\"],\n [\"Stanford University\",\n{\n            'v': 0.87,\n            'f': \"0.87\",\n        },\n{\n            'v': 1.24,\n            'f': \"1.24\",\n        },\n\"Thrive\"],\n [\"Harvard University\",\n{\n            'v': 0.87,\n            'f': \"0.87\",\n        },\n{\n            'v': 1.25,\n            'f': \"1.25\",\n        },\n\"Thrive\"],\n [\"University of Delaware\",\n{\n            'v': 0.87,\n            'f': \"0.87\",\n        },\n{\n            'v': 1.82,\n            'f': \"1.82\",\n        },\n\"Thrive\"],\n [\"University of North Carolina at Chapel Hill\",\n{\n            'v': 0.87,\n            'f': \"0.87\",\n        },\n{\n            'v': 2.67,\n            'f': \"2.67\",\n        },\n\"Thrive\"],\n [\"The University of Findlay\",\n{\n            'v': 0.86,\n            'f': \"0.86\",\n        },\n{\n            'v': 0.11,\n            'f': \"0.11\",\n        },\n\"Struggle\"],\n [\"Reed College\",\n{\n            'v': 0.86,\n            'f': \"0.86\",\n        },\n{\n            'v': 0.18,\n            'f': \"0.18\",\n        },\n\"Struggle\"],\n [\"Tulane University of Louisiana\",\n{\n            'v': 0.86,\n            'f': \"0.86\",\n        },\n{\n            'v': 0.73,\n            'f': \"0.73\",\n        },\n\"Thrive\"],\n [\"Villanova University\",\n{\n            'v': 0.86,\n            'f': \"0.86\",\n        },\n{\n            'v': 0.75,\n            'f': \"0.75\",\n        },\n\"Thrive\"],\n [\"Utah State University\",\n{\n            'v': 0.85,\n            'f': \"0.85\",\n        },\n{\n            'v': 0.51,\n            'f': \"0.51\",\n        },\n\"Thrive\"],\n [\"University of South Carolina-Columbia\",\n{\n            'v': 0.85,\n            'f': \"0.85\",\n        },\n{\n            'v': 0.52,\n            'f': \"0.52\",\n        },\n\"Thrive\"],\n [\"Dartmouth College\",\n{\n            'v': 0.85,\n            'f': \"0.85\",\n        },\n{\n            'v': 0.78,\n            'f': \"0.78\",\n        },\n\"Thrive\"],\n [\"Concordia University-Wisconsin\",\n{\n            'v': 0.84,\n            'f': \"0.84\",\n        },\n{\n            'v': 0.09,\n            'f': \"0.09\",\n        },\n\"Struggle\"],\n [\"Hobart William Smith Colleges\",\n{\n            'v': 0.84,\n            'f': \"0.84\",\n        },\n{\n            'v': 0.14,\n            'f': \"0.14\",\n        },\n\"Struggle\"],\n [\"Colorado College\",\n{\n            'v': 0.84,\n            'f': \"0.84\",\n        },\n{\n            'v': 0.27,\n            'f': \"0.27\",\n        },\n\"Struggle\"],\n [\"Occidental College\",\n{\n            'v': 0.84,\n            'f': \"0.84\",\n        },\n{\n            'v': 0.34,\n            'f': \"0.34\",\n        },\n\"Struggle\"],\n [\"University of Tulsa\",\n{\n            'v': 0.84,\n            'f': \"0.84\",\n        },\n{\n            'v': 0.35,\n            'f': \"0.35\",\n        },\n\"Struggle\"],\n [\"Wayne State University\",\n{\n            'v': 0.84,\n            'f': \"0.84\",\n        },\n{\n            'v': 0.65,\n            'f': \"0.65\",\n        },\n\"Thrive\"],\n [\"Pomona College\",\n{\n            'v': 0.84,\n            'f': \"0.84\",\n        },\n{\n            'v': 0.92,\n            'f': \"0.92\",\n        },\n\"Thrive\"],\n [\"Dallas Baptist University\",\n{\n            'v': 0.83,\n            'f': \"0.83\",\n        },\n{\n            'v': 0.05,\n            'f': \"0.05\",\n        },\n\"Struggle\"],\n [\"Saint Norbert College\",\n{\n            'v': 0.83,\n            'f': \"0.83\",\n        },\n{\n            'v': 0.08,\n            'f': \"0.08\",\n        },\n\"Struggle\"],\n [\"Western New England University\",\n{\n            'v': 0.83,\n            'f': \"0.83\",\n        },\n{\n            'v': 0.11,\n            'f': \"0.11\",\n        },\n\"Struggle\"],\n [\"Hampton University\",\n{\n            'v': 0.83,\n            'f': \"0.83\",\n        },\n{\n            'v': 0.13,\n            'f': \"0.13\",\n        },\n\"Struggle\"],\n [\"Shenandoah University\",\n{\n            'v': 0.83,\n            'f': \"0.83\",\n        },\n{\n            'v': 0.14,\n            'f': \"0.14\",\n        },\n\"Struggle\"],\n [\"Texas Christian University\",\n{\n            'v': 0.83,\n            'f': \"0.83\",\n        },\n{\n            'v': 0.39,\n            'f': \"0.39\",\n        },\n\"Struggle\"],\n [\"Bucknell University\",\n{\n            'v': 0.83,\n            'f': \"0.83\",\n        },\n{\n            'v': 0.57,\n            'f': \"0.57\",\n        },\n\"Thrive\"],\n [\"Lafayette College\",\n{\n            'v': 0.83,\n            'f': \"0.83\",\n        },\n{\n            'v': 0.65,\n            'f': \"0.65\",\n        },\n\"Thrive\"],\n [\"Colgate University\",\n{\n            'v': 0.83,\n            'f': \"0.83\",\n        },\n{\n            'v': 0.68,\n            'f': \"0.68\",\n        },\n\"Thrive\"],\n [\"Yale University\",\n{\n            'v': 0.83,\n            'f': \"0.83\",\n        },\n{\n            'v': 1.11,\n            'f': \"1.11\",\n        },\n\"Thrive\"],\n [\"University of North Carolina at Greensboro\",\n{\n            'v': 0.82,\n            'f': \"0.82\",\n        },\n{\n            'v': 0.13,\n            'f': \"0.13\",\n        },\n\"Struggle\"],\n [\"Kalamazoo College\",\n{\n            'v': 0.82,\n            'f': \"0.82\",\n        },\n{\n            'v': 0.19,\n            'f': \"0.19\",\n        },\n\"Struggle\"],\n [\"University of Pittsburgh-Pittsburgh Campus\",\n{\n            'v': 0.82,\n            'f': \"0.82\",\n        },\n{\n            'v': 1.44,\n            'f': \"1.44\",\n        },\n\"Thrive\"],\n [\"Oklahoma City University\",\n{\n            'v': 0.81,\n            'f': \"0.81\",\n        },\n{\n            'v': 0.09,\n            'f': \"0.09\",\n        },\n\"Struggle\"],\n [\"Bellarmine University\",\n{\n            'v': 0.81,\n            'f': \"0.81\",\n        },\n{\n            'v': 0.1,\n            'f': \"0.1\",\n        },\n\"Struggle\"],\n [\"Elizabethtown College\",\n{\n            'v': 0.81,\n            'f': \"0.81\",\n        },\n{\n            'v': 0.16,\n            'f': \"0.16\",\n        },\n\"Struggle\"],\n [\"Westminster College\",\n{\n            'v': 0.81,\n            'f': \"0.81\",\n        },\n{\n            'v': 0.17,\n            'f': \"0.17\",\n        },\n\"Struggle\"],\n [\"Saint Johns University\",\n{\n            'v': 0.81,\n            'f': \"0.81\",\n        },\n{\n            'v': 0.22,\n            'f': \"0.22\",\n        },\n\"Struggle\"],\n [\"The University of Montana\",\n{\n            'v': 0.81,\n            'f': \"0.81\",\n        },\n{\n            'v': 0.27,\n            'f': \"0.27\",\n        },\n\"Struggle\"],\n [\"Immaculata University\",\n{\n            'v': 0.8,\n            'f': \"0.8\",\n        },\n{\n            'v': 0.12,\n            'f': \"0.12\",\n        },\n\"Struggle\"],\n [\"Sacred Heart University\",\n{\n            'v': 0.8,\n            'f': \"0.8\",\n        },\n{\n            'v': 0.24,\n            'f': \"0.24\",\n        },\n\"Struggle\"],\n [\"Saint Michael's College\",\n{\n            'v': 0.79,\n            'f': \"0.79\",\n        },\n{\n            'v': 0.08,\n            'f': \"0.08\",\n        },\n\"Struggle\"],\n [\"Regent University\",\n{\n            'v': 0.79,\n            'f': \"0.79\",\n        },\n{\n            'v': 0.18,\n            'f': \"0.18\",\n        },\n\"Struggle\"],\n [\"Allegheny College\",\n{\n            'v': 0.79,\n            'f': \"0.79\",\n        },\n{\n            'v': 0.28,\n            'f': \"0.28\",\n        },\n\"Struggle\"],\n [\"Baylor University\",\n{\n            'v': 0.79,\n            'f': \"0.79\",\n        },\n{\n            'v': 0.38,\n            'f': \"0.38\",\n        },\n\"Struggle\"],\n [\"Mississippi State University\",\n{\n            'v': 0.79,\n            'f': \"0.79\",\n        },\n{\n            'v': 0.49,\n            'f': \"0.49\",\n        },\n\"Thrive\"],\n [\"Southern Methodist University\",\n{\n            'v': 0.79,\n            'f': \"0.79\",\n        },\n{\n            'v': 0.53,\n            'f': \"0.53\",\n        },\n\"Thrive\"],\n [\"Indiana University-Purdue University-Indianapolis\",\n{\n            'v': 0.79,\n            'f': \"0.79\",\n        },\n{\n            'v': 0.68,\n            'f': \"0.68\",\n        },\n\"Thrive\"],\n [\"Lesley University\",\n{\n            'v': 0.78,\n            'f': \"0.78\",\n        },\n{\n            'v': 0.08,\n            'f': \"0.08\",\n        },\n\"Struggle\"],\n [\"Widener University\",\n{\n            'v': 0.78,\n            'f': \"0.78\",\n        },\n{\n            'v': 0.18,\n            'f': \"0.18\",\n        },\n\"Struggle\"],\n [\"Clarkson University\",\n{\n            'v': 0.78,\n            'f': \"0.78\",\n        },\n{\n            'v': 0.32,\n            'f': \"0.32\",\n        },\n\"Struggle\"],\n [\"University of Dayton\",\n{\n            'v': 0.78,\n            'f': \"0.78\",\n        },\n{\n            'v': 0.32,\n            'f': \"0.32\",\n        },\n\"Struggle\"],\n [\"University of New Hampshire-Main Campus\",\n{\n            'v': 0.78,\n            'f': \"0.78\",\n        },\n{\n            'v': 0.58,\n            'f': \"0.58\",\n        },\n\"Thrive\"],\n [\"University of Richmond\",\n{\n            'v': 0.78,\n            'f': \"0.78\",\n        },\n{\n            'v': 0.76,\n            'f': \"0.76\",\n        },\n\"Thrive\"],\n [\"Whitman College\",\n{\n            'v': 0.77,\n            'f': \"0.77\",\n        },\n{\n            'v': 0.24,\n            'f': \"0.24\",\n        },\n\"Struggle\"],\n [\"Gustavus Adolphus College\",\n{\n            'v': 0.77,\n            'f': \"0.77\",\n        },\n{\n            'v': 0.27,\n            'f': \"0.27\",\n        },\n\"Struggle\"],\n [\"Ohio University-Main Campus\",\n{\n            'v': 0.77,\n            'f': \"0.77\",\n        },\n{\n            'v': 0.57,\n            'f': \"0.57\",\n        },\n\"Thrive\"],\n [\"Hamilton College\",\n{\n            'v': 0.77,\n            'f': \"0.77\",\n        },\n{\n            'v': 0.67,\n            'f': \"0.67\",\n        },\n\"Thrive\"],\n [\"Bowdoin College\",\n{\n            'v': 0.77,\n            'f': \"0.77\",\n        },\n{\n            'v': 0.85,\n            'f': \"0.85\",\n        },\n\"Thrive\"],\n [\"Duke University\",\n{\n            'v': 0.77,\n            'f': \"0.77\",\n        },\n{\n            'v': 0.97,\n            'f': \"0.97\",\n        },\n\"Thrive\"],\n [\"University of Notre Dame\",\n{\n            'v': 0.77,\n            'f': \"0.77\",\n        },\n{\n            'v': 0.98,\n            'f': \"0.98\",\n        },\n\"Thrive\"],\n [\"The University of Texas at Austin\",\n{\n            'v': 0.77,\n            'f': \"0.77\",\n        },\n{\n            'v': 1.06,\n            'f': \"1.06\",\n        },\n\"Thrive\"],\n [\"Houghton College\",\n{\n            'v': 0.76,\n            'f': \"0.76\",\n        },\n{\n            'v': 0.02,\n            'f': \"0.02\",\n        },\n\"Struggle\"],\n [\"Belmont University\",\n{\n            'v': 0.76,\n            'f': \"0.76\",\n        },\n{\n            'v': 0.08,\n            'f': \"0.08\",\n        },\n\"Struggle\"],\n [\"Illinois College\",\n{\n            'v': 0.76,\n            'f': \"0.76\",\n        },\n{\n            'v': 0.11,\n            'f': \"0.11\",\n        },\n\"Struggle\"],\n [\"Saint Mary's College\",\n{\n            'v': 0.76,\n            'f': \"0.76\",\n        },\n{\n            'v': 0.11,\n            'f': \"0.11\",\n        },\n\"Struggle\"],\n [\"Centre College\",\n{\n            'v': 0.76,\n            'f': \"0.76\",\n        },\n{\n            'v': 0.19,\n            'f': \"0.19\",\n        },\n\"Struggle\"],\n [\"Quinnipiac University\",\n{\n            'v': 0.76,\n            'f': \"0.76\",\n        },\n{\n            'v': 0.33,\n            'f': \"0.33\",\n        },\n\"Struggle\"],\n [\"Williams College\",\n{\n            'v': 0.76,\n            'f': \"0.76\",\n        },\n{\n            'v': 0.67,\n            'f': \"0.67\",\n        },\n\"Thrive\"],\n [\"Washington University in St Louis\",\n{\n            'v': 0.76,\n            'f': \"0.76\",\n        },\n{\n            'v': 0.84,\n            'f': \"0.84\",\n        },\n\"Thrive\"],\n [\"Auburn University\",\n{\n            'v': 0.76,\n            'f': \"0.76\",\n        },\n{\n            'v': 0.92,\n            'f': \"0.92\",\n        },\n\"Thrive\"],\n [\"St. Mary's College of Maryland\",\n{\n            'v': 0.75,\n            'f': \"0.75\",\n        },\n{\n            'v': 0.5,\n            'f': \"0.5\",\n        },\n\"Thrive\"],\n [\"Massachusetts Institute of Technology\",\n{\n            'v': 0.75,\n            'f': \"0.75\",\n        },\n{\n            'v': 0.92,\n            'f': \"0.92\",\n        },\n\"Thrive\"],\n [\"Mary Baldwin University\",\n{\n            'v': 0.74,\n            'f': \"0.74\",\n        },\n{\n            'v': 0.01,\n            'f': \"0.01\",\n        },\n\"Struggle\"],\n [\"University of Saint Joseph\",\n{\n            'v': 0.74,\n            'f': \"0.74\",\n        },\n{\n            'v': 0.23,\n            'f': \"0.23\",\n        },\n\"Struggle\"],\n [\"Davidson College\",\n{\n            'v': 0.74,\n            'f': \"0.74\",\n        },\n{\n            'v': 0.77,\n            'f': \"0.77\",\n        },\n\"Thrive\"],\n [\"Whittier College\",\n{\n            'v': 0.73,\n            'f': \"0.73\",\n        },\n{\n            'v': 0.11,\n            'f': \"0.11\",\n        },\n\"Struggle\"],\n [\"Misericordia University\",\n{\n            'v': 0.73,\n            'f': \"0.73\",\n        },\n{\n            'v': 0.13,\n            'f': \"0.13\",\n        },\n\"Struggle\"],\n [\"St Catherine University\",\n{\n            'v': 0.73,\n            'f': \"0.73\",\n        },\n{\n            'v': 0.15,\n            'f': \"0.15\",\n        },\n\"Struggle\"],\n [\"Clemson University\",\n{\n            'v': 0.73,\n            'f': \"0.73\",\n        },\n{\n            'v': 1.33,\n            'f': \"1.33\",\n        },\n\"Thrive\"],\n [\"Brigham Young University-Provo\",\n{\n            'v': 0.73,\n            'f': \"0.73\",\n        },\n{\n            'v': 42.27,\n            'f': \"42.27\",\n        },\n\"Thrive\"],\n [\"Hartwick College\",\n{\n            'v': 0.72,\n            'f': \"0.72\",\n        },\n{\n            'v': 0.05,\n            'f': \"0.05\",\n        },\n\"Struggle\"],\n [\"Seattle Pacific University\",\n{\n            'v': 0.72,\n            'f': \"0.72\",\n        },\n{\n            'v': 0.08,\n            'f': \"0.08\",\n        },\n\"Struggle\"],\n [\"Coe College\",\n{\n            'v': 0.72,\n            'f': \"0.72\",\n        },\n{\n            'v': 0.12,\n            'f': \"0.12\",\n        },\n\"Struggle\"],\n [\"California Institute of Technology\",\n{\n            'v': 0.72,\n            'f': \"0.72\",\n        },\n{\n            'v': 0.74,\n            'f': \"0.74\",\n        },\n\"Thrive\"],\n [\"Wesleyan College\",\n{\n            'v': 0.71,\n            'f': \"0.71\",\n        },\n{\n            'v': 0.1,\n            'f': \"0.1\",\n        },\n\"Struggle\"],\n [\"Randolph-Macon College\",\n{\n            'v': 0.71,\n            'f': \"0.71\",\n        },\n{\n            'v': 0.11,\n            'f': \"0.11\",\n        },\n\"Struggle\"],\n [\"Berea College\",\n{\n            'v': 0.71,\n            'f': \"0.71\",\n        },\n{\n            'v': 0.23,\n            'f': \"0.23\",\n        },\n\"Struggle\"],\n [\"University of Mississippi\",\n{\n            'v': 0.71,\n            'f': \"0.71\",\n        },\n{\n            'v': 1.0,\n            'f': \"1.0\",\n        },\n\"Thrive\"],\n [\"Ripon College\",\n{\n            'v': 0.7,\n            'f': \"0.7\",\n        },\n{\n            'v': 0.11,\n            'f': \"0.11\",\n        },\n\"Struggle\"],\n [\"Scripps College\",\n{\n            'v': 0.7,\n            'f': \"0.7\",\n        },\n{\n            'v': 0.38,\n            'f': \"0.38\",\n        },\n\"Struggle\"],\n [\"Rhodes College\",\n{\n            'v': 0.7,\n            'f': \"0.7\",\n        },\n{\n            'v': 0.45,\n            'f': \"0.45\",\n        },\n\"Thrive\"],\n [\"University of Alabama at Birmingham\",\n{\n            'v': 0.7,\n            'f': \"0.7\",\n        },\n{\n            'v': 1.31,\n            'f': \"1.31\",\n        },\n\"Thrive\"],\n [\"University of Georgia\",\n{\n            'v': 0.7,\n            'f': \"0.7\",\n        },\n{\n            'v': 1.77,\n            'f': \"1.77\",\n        },\n\"Thrive\"],\n [\"Warren Wilson College\",\n{\n            'v': 0.69,\n            'f': \"0.69\",\n        },\n{\n            'v': 0.0,\n            'f': \"0.0\",\n        },\n\"Struggle\"],\n [\"Saint John Fisher College\",\n{\n            'v': 0.69,\n            'f': \"0.69\",\n        },\n{\n            'v': 0.19,\n            'f': \"0.19\",\n        },\n\"Struggle\"],\n [\"Wofford College\",\n{\n            'v': 0.69,\n            'f': \"0.69\",\n        },\n{\n            'v': 0.35,\n            'f': \"0.35\",\n        },\n\"Struggle\"],\n [\"Union College\",\n{\n            'v': 0.69,\n            'f': \"0.69\",\n        },\n{\n            'v': 0.57,\n            'f': \"0.57\",\n        },\n\"Thrive\"],\n [\"University of Missouri-Columbia\",\n{\n            'v': 0.69,\n            'f': \"0.69\",\n        },\n{\n            'v': 0.68,\n            'f': \"0.68\",\n        },\n\"Thrive\"],\n [\"Amherst College\",\n{\n            'v': 0.69,\n            'f': \"0.69\",\n        },\n{\n            'v': 0.79,\n            'f': \"0.79\",\n        },\n\"Thrive\"],\n [\"Presbyterian College\",\n{\n            'v': 0.68,\n            'f': \"0.68\",\n        },\n{\n            'v': 0.16,\n            'f': \"0.16\",\n        },\n\"Struggle\"],\n [\"Susquehanna University\",\n{\n            'v': 0.68,\n            'f': \"0.68\",\n        },\n{\n            'v': 0.16,\n            'f': \"0.16\",\n        },\n\"Struggle\"],\n [\"Hope College\",\n{\n            'v': 0.68,\n            'f': \"0.68\",\n        },\n{\n            'v': 0.19,\n            'f': \"0.19\",\n        },\n\"Struggle\"],\n [\"University of Vermont\",\n{\n            'v': 0.68,\n            'f': \"0.68\",\n        },\n{\n            'v': 0.6,\n            'f': \"0.6\",\n        },\n\"Thrive\"],\n [\"Hanover College\",\n{\n            'v': 0.67,\n            'f': \"0.67\",\n        },\n{\n            'v': 0.12,\n            'f': \"0.12\",\n        },\n\"Struggle\"],\n [\"Duquesne University\",\n{\n            'v': 0.67,\n            'f': \"0.67\",\n        },\n{\n            'v': 0.44,\n            'f': \"0.44\",\n        },\n\"Thrive\"],\n [\"Roanoke College\",\n{\n            'v': 0.66,\n            'f': \"0.66\",\n        },\n{\n            'v': 0.09,\n            'f': \"0.09\",\n        },\n\"Struggle\"],\n [\"Agnes Scott College\",\n{\n            'v': 0.66,\n            'f': \"0.66\",\n        },\n{\n            'v': 0.19,\n            'f': \"0.19\",\n        },\n\"Struggle\"],\n [\"Sewanee - The University of the South\",\n{\n            'v': 0.66,\n            'f': \"0.66\",\n        },\n{\n            'v': 0.23,\n            'f': \"0.23\",\n        },\n\"Struggle\"],\n [\"Virginia Commonwealth University\",\n{\n            'v': 0.66,\n            'f': \"0.66\",\n        },\n{\n            'v': 0.26,\n            'f': \"0.26\",\n        },\n\"Struggle\"],\n [\"Gettysburg College\",\n{\n            'v': 0.66,\n            'f': \"0.66\",\n        },\n{\n            'v': 0.4,\n            'f': \"0.4\",\n        },\n\"Struggle\"],\n [\"University of Colorado Denver/Anschutz Medical Campus\",\n{\n            'v': 0.66,\n            'f': \"0.66\",\n        },\n{\n            'v': 1.77,\n            'f': \"1.77\",\n        },\n\"Thrive\"],\n [\"Illinois Wesleyan University\",\n{\n            'v': 0.65,\n            'f': \"0.65\",\n        },\n{\n            'v': 0.36,\n            'f': \"0.36\",\n        },\n\"Struggle\"],\n [\"Creighton University\",\n{\n            'v': 0.65,\n            'f': \"0.65\",\n        },\n{\n            'v': 0.44,\n            'f': \"0.44\",\n        },\n\"Thrive\"],\n [\"University of Louisville\",\n{\n            'v': 0.65,\n            'f': \"0.65\",\n        },\n{\n            'v': 0.91,\n            'f': \"0.91\",\n        },\n\"Thrive\"],\n [\"Wells College\",\n{\n            'v': 0.64,\n            'f': \"0.64\",\n        },\n{\n            'v': 0.01,\n            'f': \"0.01\",\n        },\n\"Struggle\"],\n [\"Georgetown College\",\n{\n            'v': 0.64,\n            'f': \"0.64\",\n        },\n{\n            'v': 0.08,\n            'f': \"0.08\",\n        },\n\"Struggle\"],\n [\"University of Maine\",\n{\n            'v': 0.64,\n            'f': \"0.64\",\n        },\n{\n            'v': 0.18,\n            'f': \"0.18\",\n        },\n\"Struggle\"],\n [\"Birmingham Southern College\",\n{\n            'v': 0.64,\n            'f': \"0.64\",\n        },\n{\n            'v': 0.52,\n            'f': \"0.52\",\n        },\n\"Thrive\"],\n [\"Howard University\",\n{\n            'v': 0.64,\n            'f': \"0.64\",\n        },\n{\n            'v': 1.24,\n            'f': \"1.24\",\n        },\n\"Thrive\"],\n [\"University of Michigan-Ann Arbor\",\n{\n            'v': 0.64,\n            'f': \"0.64\",\n        },\n{\n            'v': 1.99,\n            'f': \"1.99\",\n        },\n\"Thrive\"],\n [\"Mercer University\",\n{\n            'v': 0.63,\n            'f': \"0.63\",\n        },\n{\n            'v': 0.32,\n            'f': \"0.32\",\n        },\n\"Struggle\"],\n [\"University of Cincinnati-Main Campus\",\n{\n            'v': 0.63,\n            'f': \"0.63\",\n        },\n{\n            'v': 0.57,\n            'f': \"0.57\",\n        },\n\"Thrive\"],\n [\"University of Virginia-Main Campus\",\n{\n            'v': 0.62,\n            'f': \"0.62\",\n        },\n{\n            'v': 1.72,\n            'f': \"1.72\",\n        },\n\"Thrive\"],\n [\"St. Thomas Aquinas College\",\n{\n            'v': 0.61,\n            'f': \"0.61\",\n        },\n{\n            'v': 0.03,\n            'f': \"0.03\",\n        },\n\"Struggle\"],\n [\"University of Kentucky\",\n{\n            'v': 0.61,\n            'f': \"0.61\",\n        },\n{\n            'v': 0.83,\n            'f': \"0.83\",\n        },\n\"Thrive\"],\n [\"University of Wyoming\",\n{\n            'v': 0.61,\n            'f': \"0.61\",\n        },\n{\n            'v': 8.6,\n            'f': \"8.6\",\n        },\n\"Thrive\"],\n [\"Ursinus College\",\n{\n            'v': 0.6,\n            'f': \"0.6\",\n        },\n{\n            'v': 0.22,\n            'f': \"0.22\",\n        },\n\"Struggle\"],\n [\"University of Arkansas\",\n{\n            'v': 0.6,\n            'f': \"0.6\",\n        },\n{\n            'v': 1.0,\n            'f': \"1.0\",\n        },\n\"Thrive\"],\n [\"Wabash College\",\n{\n            'v': 0.59,\n            'f': \"0.59\",\n        },\n{\n            'v': 0.41,\n            'f': \"0.41\",\n        },\n\"Struggle\"],\n [\"Chatham University\",\n{\n            'v': 0.58,\n            'f': \"0.58\",\n        },\n{\n            'v': 0.08,\n            'f': \"0.08\",\n        },\n\"Struggle\"],\n [\"Moravian College\",\n{\n            'v': 0.58,\n            'f': \"0.58\",\n        },\n{\n            'v': 0.14,\n            'f': \"0.14\",\n        },\n\"Struggle\"],\n [\"Wheaton College\",\n{\n            'v': 0.58,\n            'f': \"0.58\",\n        },\n{\n            'v': 0.33,\n            'f': \"0.33\",\n        },\n\"Struggle\"],\n [\"Drake University\",\n{\n            'v': 0.58,\n            'f': \"0.58\",\n        },\n{\n            'v': 0.42,\n            'f': \"0.42\",\n        },\n\"Struggle\"],\n [\"Guilford College\",\n{\n            'v': 0.57,\n            'f': \"0.57\",\n        },\n{\n            'v': 0.02,\n            'f': \"0.02\",\n        },\n\"Struggle\"],\n [\"Sweet Briar College\",\n{\n            'v': 0.56,\n            'f': \"0.56\",\n        },\n{\n            'v': 0.22,\n            'f': \"0.22\",\n        },\n\"Struggle\"],\n [\"Muhlenberg College\",\n{\n            'v': 0.55,\n            'f': \"0.55\",\n        },\n{\n            'v': 0.31,\n            'f': \"0.31\",\n        },\n\"Struggle\"],\n [\"Marquette University\",\n{\n            'v': 0.55,\n            'f': \"0.55\",\n        },\n{\n            'v': 0.47,\n            'f': \"0.47\",\n        },\n\"Thrive\"],\n [\"Monmouth College\",\n{\n            'v': 0.54,\n            'f': \"0.54\",\n        },\n{\n            'v': 0.11,\n            'f': \"0.11\",\n        },\n\"Struggle\"],\n [\"Westmont College\",\n{\n            'v': 0.54,\n            'f': \"0.54\",\n        },\n{\n            'v': 0.18,\n            'f': \"0.18\",\n        },\n\"Struggle\"],\n [\"Samford University\",\n{\n            'v': 0.54,\n            'f': \"0.54\",\n        },\n{\n            'v': 0.29,\n            'f': \"0.29\",\n        },\n\"Struggle\"],\n [\"Furman University\",\n{\n            'v': 0.54,\n            'f': \"0.54\",\n        },\n{\n            'v': 0.39,\n            'f': \"0.39\",\n        },\n\"Struggle\"],\n [\"Washington and Lee University\",\n{\n            'v': 0.54,\n            'f': \"0.54\",\n        },\n{\n            'v': 0.75,\n            'f': \"0.75\",\n        },\n\"Thrive\"],\n [\"Morehouse College\",\n{\n            'v': 0.53,\n            'f': \"0.53\",\n        },\n{\n            'v': 0.1,\n            'f': \"0.1\",\n        },\n\"Struggle\"],\n [\"Marlboro College\",\n{\n            'v': 0.53,\n            'f': \"0.53\",\n        },\n{\n            'v': 0.12,\n            'f': \"0.12\",\n        },\n\"Struggle\"],\n [\"College of the Holy Cross\",\n{\n            'v': 0.53,\n            'f': \"0.53\",\n        },\n{\n            'v': 0.57,\n            'f': \"0.57\",\n        },\n\"Thrive\"],\n [\"Wittenberg University\",\n{\n            'v': 0.52,\n            'f': \"0.52\",\n        },\n{\n            'v': 0.06,\n            'f': \"0.06\",\n        },\n\"Struggle\"],\n [\"Goucher College\",\n{\n            'v': 0.52,\n            'f': \"0.52\",\n        },\n{\n            'v': 0.11,\n            'f': \"0.11\",\n        },\n\"Struggle\"],\n [\"Gallaudet University\",\n{\n            'v': 0.52,\n            'f': \"0.52\",\n        },\n{\n            'v': 0.9,\n            'f': \"0.9\",\n        },\n\"Thrive\"],\n [\"Valparaiso University\",\n{\n            'v': 0.5,\n            'f': \"0.5\",\n        },\n{\n            'v': 0.17,\n            'f': \"0.17\",\n        },\n\"Struggle\"],\n [\"Saint Vincent College\",\n{\n            'v': 0.49,\n            'f': \"0.49\",\n        },\n{\n            'v': 0.14,\n            'f': \"0.14\",\n        },\n\"Struggle\"],\n [\"Saint Anselm College\",\n{\n            'v': 0.47,\n            'f': \"0.47\",\n        },\n{\n            'v': 0.23,\n            'f': \"0.23\",\n        },\n\"Struggle\"],\n [\"Simpson College\",\n{\n            'v': 0.45,\n            'f': \"0.45\",\n        },\n{\n            'v': 0.09,\n            'f': \"0.09\",\n        },\n\"Struggle\"],\n [\"Catholic University of America\",\n{\n            'v': 0.45,\n            'f': \"0.45\",\n        },\n{\n            'v': 0.21,\n            'f': \"0.21\",\n        },\n\"Struggle\"],\n [\"Stonehill College\",\n{\n            'v': 0.44,\n            'f': \"0.44\",\n        },\n{\n            'v': 0.29,\n            'f': \"0.29\",\n        },\n\"Struggle\"],\n [\"Southwestern University\",\n{\n            'v': 0.44,\n            'f': \"0.44\",\n        },\n{\n            'v': 0.33,\n            'f': \"0.33\",\n        },\n\"Struggle\"],\n [\"Emory & Henry College\",\n{\n            'v': 0.43,\n            'f': \"0.43\",\n        },\n{\n            'v': 0.04,\n            'f': \"0.04\",\n        },\n\"Struggle\"],\n [\"Linfield College-McMinnville Campus\",\n{\n            'v': 0.43,\n            'f': \"0.43\",\n        },\n{\n            'v': 0.24,\n            'f': \"0.24\",\n        },\n\"Struggle\"],\n [\"University of St Thomas\",\n{\n            'v': 0.43,\n            'f': \"0.43\",\n        },\n{\n            'v': 0.41,\n            'f': \"0.41\",\n        },\n\"Struggle\"],\n [\"Central College\",\n{\n            'v': 0.42,\n            'f': \"0.42\",\n        },\n{\n            'v': 0.1,\n            'f': \"0.1\",\n        },\n\"Struggle\"],\n [\"Washington & Jefferson College\",\n{\n            'v': 0.4,\n            'f': \"0.4\",\n        },\n{\n            'v': 0.11,\n            'f': \"0.11\",\n        },\n\"Struggle\"],\n [\"Austin College\",\n{\n            'v': 0.39,\n            'f': \"0.39\",\n        },\n{\n            'v': 0.2,\n            'f': \"0.2\",\n        },\n\"Struggle\"],\n [\"Albion College\",\n{\n            'v': 0.38,\n            'f': \"0.38\",\n        },\n{\n            'v': 0.12,\n            'f': \"0.12\",\n        },\n\"Struggle\"],\n [\"Salem College\",\n{\n            'v': 0.33,\n            'f': \"0.33\",\n        },\n{\n            'v': 0.19,\n            'f': \"0.19\",\n        },\n\"Struggle\"],\n [\"University of Puget Sound\",\n{\n            'v': 0.32,\n            'f': \"0.32\",\n        },\n{\n            'v': 0.15,\n            'f': \"0.15\",\n        },\n\"Struggle\"],\n [\"Hampden-Sydney College\",\n{\n            'v': 0.31,\n            'f': \"0.31\",\n        },\n{\n            'v': 0.19,\n            'f': \"0.19\",\n        },\n\"Struggle\"],\n [\"Washington College\",\n{\n            'v': 0.3,\n            'f': \"0.3\",\n        },\n{\n            'v': 0.23,\n            'f': \"0.23\",\n        },\n\"Struggle\"],\n [\"Hendrix College\",\n{\n            'v': 0.29,\n            'f': \"0.29\",\n        },\n{\n            'v': 0.12,\n            'f': \"0.12\",\n        },\n\"Struggle\"],\n [\"Transylvania University\",\n{\n            'v': 0.27,\n            'f': \"0.27\",\n        },\n{\n            'v': 0.09,\n            'f': \"0.09\",\n        },\n\"Struggle\"],\n [\"Spelman College\",\n{\n            'v': 0.26,\n            'f': \"0.26\",\n        },\n{\n            'v': 0.35,\n            'f': \"0.35\",\n        },\n\"Struggle\"],\n [\"Texas A & M University-College Station\",\n{\n            'v': 0.25,\n            'f': \"0.25\",\n        },\n{\n            'v': 1.68,\n            'f': \"1.68\",\n        },\n\"Thrive\"],\n [\"Thomas Jefferson University\",\n{\n            'v': 0.23,\n            'f': \"0.23\",\n        },\n{\n            'v': 0.34,\n            'f': \"0.34\",\n        },\n\"Struggle\"],\n [\"Randolph College\",\n{\n            'v': 0.21,\n            'f': \"0.21\",\n        },\n{\n            'v': 0.06,\n            'f': \"0.06\",\n        },\n\"Struggle\"],\n [\"Virginia Military Institute\",\n{\n            'v': 0.19,\n            'f': \"0.19\",\n        },\n{\n            'v': 0.6,\n            'f': \"0.6\",\n        },\n\"Thrive\"],\n [\"Centenary College of Louisiana\",\n{\n            'v': 0.15,\n            'f': \"0.15\",\n        },\n{\n            'v': 0.09,\n            'f': \"0.09\",\n        },\n\"Struggle\"],\n [\"Middlebury College\",\n{\n            'v': 0.14,\n            'f': \"0.14\",\n        },\n{\n            'v': 0.7,\n            'f': \"0.7\",\n        },\n\"Thrive\"]],\n        columns: [[\"string\", \"Institution Name\"], [\"number\", \"Vulnerability Score\"], [\"number\", \"Value-to-Cost Ratio\"], [\"string\", \"Prof G Categorization\"]],\n        columnOptions: [],\n        rowsPerPage: 10,\n        helpUrl: \"https://colab.research.google.com/notebooks/data_table.ipynb\",\n        suppressOutputScrolling: true,\n        minimumWidth: undefined,\n      });\n    ",
            "text/plain": [
              "<google.colab.data_table.DataTable object>"
            ],
            "text/html": [
              "<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>Institution Name</th>\n",
              "      <th>Vulnerability Score</th>\n",
              "      <th>Value-to-Cost Ratio</th>\n",
              "      <th>Prof G Categorization</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>317</th>\n",
              "      <td>University of California-Santa Cruz</td>\n",
              "      <td>1.90</td>\n",
              "      <td>0.42</td>\n",
              "      <td>Perish</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>311</th>\n",
              "      <td>University of California-Davis</td>\n",
              "      <td>1.87</td>\n",
              "      <td>1.37</td>\n",
              "      <td>Survive</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>312</th>\n",
              "      <td>University of California-Irvine</td>\n",
              "      <td>1.85</td>\n",
              "      <td>1.94</td>\n",
              "      <td>Survive</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>316</th>\n",
              "      <td>University of California-Santa Barbara</td>\n",
              "      <td>1.81</td>\n",
              "      <td>1.45</td>\n",
              "      <td>Survive</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>274</th>\n",
              "      <td>Stony Brook University</td>\n",
              "      <td>1.79</td>\n",
              "      <td>2.36</td>\n",
              "      <td>Survive</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>297</th>\n",
              "      <td>Thomas Jefferson University</td>\n",
              "      <td>0.23</td>\n",
              "      <td>0.34</td>\n",
              "      <td>Struggle</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>217</th>\n",
              "      <td>Randolph College</td>\n",
              "      <td>0.21</td>\n",
              "      <td>0.06</td>\n",
              "      <td>Struggle</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>404</th>\n",
              "      <td>Virginia Military Institute</td>\n",
              "      <td>0.19</td>\n",
              "      <td>0.60</td>\n",
              "      <td>Thrive</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>42</th>\n",
              "      <td>Centenary College of Louisiana</td>\n",
              "      <td>0.15</td>\n",
              "      <td>0.09</td>\n",
              "      <td>Struggle</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>177</th>\n",
              "      <td>Middlebury College</td>\n",
              "      <td>0.14</td>\n",
              "      <td>0.70</td>\n",
              "      <td>Thrive</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>438 rows × 4 columns</p>\n",
              "</div>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 43
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "nLjH8CwV8jH0",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 561
        },
        "outputId": "20b6aaa0-998f-4dc0-abd9-ffe6523c8542"
      },
      "source": [
        "df.columns.to_list()"
      ],
      "execution_count": 16,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "['Institution Name',\n",
              " 'Full Time Enrollment',\n",
              " 'State',\n",
              " 'Ranking List',\n",
              " 'Rank',\n",
              " 'Rank Pct Rank',\n",
              " 'Undergraduate Admit Rate',\n",
              " 'Undergraduate Admit Rate Pct Rank',\n",
              " 'Average Monthly Search Volume',\n",
              " 'Average Monthly Search Volume Pct Rank',\n",
              " 'Credential Score',\n",
              " 'Student Life Grade',\n",
              " 'Student Life Score',\n",
              " 'Experience Score',\n",
              " '15-Year NPV',\n",
              " '15-Year NPV PCT Rank',\n",
              " '30-Year NPV',\n",
              " '30-Year NPV PCT Rank',\n",
              " 'Instructional Wages per Full-Time Student',\n",
              " 'Instructional Wages per Full-Time Student PCT Rank',\n",
              " 'Eduation Score',\n",
              " 'Average Undergraduate Tuition',\n",
              " 'Average Undergraduate Tuition Score',\n",
              " 'Value\\n(C x E x E)',\n",
              " 'Value-to-Cost Ratio',\n",
              " 'Endowment per Full Time Student',\n",
              " 'Endowment per Full Time Student Pct Rank',\n",
              " 'Percentage of International Students',\n",
              " 'Percentage of International Students PCT Rank',\n",
              " 'Vulnerability Score',\n",
              " 'Prof G Categorization',\n",
              " 'Value']"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 16
        }
      ]
    }
  ]
}