{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "e024287e-559f-4ab8-af6f-4bc648c6bb69",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Requirement already satisfied: awkward in /opt/conda/lib/python3.12/site-packages (from -r requirements.txt (line 1)) (2.8.10)\n",
      "Requirement already satisfied: pandas in /opt/conda/lib/python3.12/site-packages (from -r requirements.txt (line 2)) (2.3.0)\n",
      "Requirement already satisfied: numpy in /opt/conda/lib/python3.12/site-packages (from -r requirements.txt (line 3)) (2.2.6)\n",
      "Requirement already satisfied: tqdm in /opt/conda/lib/python3.12/site-packages (from -r requirements.txt (line 5)) (4.67.1)\n",
      "Requirement already satisfied: awkward-cpp==50 in /opt/conda/lib/python3.12/site-packages (from awkward->-r requirements.txt (line 1)) (50)\n",
      "Requirement already satisfied: fsspec>=2022.11.0 in /opt/conda/lib/python3.12/site-packages (from awkward->-r requirements.txt (line 1)) (2025.5.1)\n",
      "Requirement already satisfied: packaging in /opt/conda/lib/python3.12/site-packages (from awkward->-r requirements.txt (line 1)) (25.0)\n",
      "Requirement already satisfied: python-dateutil>=2.8.2 in /opt/conda/lib/python3.12/site-packages (from pandas->-r requirements.txt (line 2)) (2.9.0.post0)\n",
      "Requirement already satisfied: pytz>=2020.1 in /opt/conda/lib/python3.12/site-packages (from pandas->-r requirements.txt (line 2)) (2025.2)\n",
      "Requirement already satisfied: tzdata>=2022.7 in /opt/conda/lib/python3.12/site-packages (from pandas->-r requirements.txt (line 2)) (2025.2)\n",
      "Requirement already satisfied: six>=1.5 in /opt/conda/lib/python3.12/site-packages (from python-dateutil>=2.8.2->pandas->-r requirements.txt (line 2)) (1.17.0)\n"
     ]
    }
   ],
   "source": [
    "!pip install -r requirements.txt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "eeee645e-48b5-4bdf-a386-e3354c8ac46a",
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "\n",
    "import numpy as np\n",
    "import awkward as ak\n",
    "import matplotlib.pyplot as plt\n",
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "e18b60a6-be26-473b-9938-c9d18c28b8aa",
   "metadata": {},
   "outputs": [],
   "source": [
    "scorecard_dir = \"data/scorecard\"\n",
    "scorecard_dir = os.path.join(scorecard_dir, os.listdir(scorecard_dir)[0])\n",
    "data = ak.from_parquet(os.path.join(scorecard_dir, \"merged.parquet\"))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "45b02475-f4cb-4830-8367-05ef5eefaaee",
   "metadata": {},
   "outputs": [],
   "source": [
    "mask_nan = ~ak.any(np.isnan(data.academics.program_percentage.physical_science), axis=1)\n",
    "mask_all_zero = ~ak.all(data.academics.program_percentage.physical_science == 0, axis=1)\n",
    "mask = mask_nan & mask_all_zero\n",
    "data_m = data[mask]\n",
    "\n",
    "data_ua = data[data.school.name[:, -1] == \"The University of Alabama\"][0]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6129bee1-fadb-42cd-a146-c6c7a5217bf9",
   "metadata": {
    "jp-MarkdownHeadingCollapsed": true
   },
   "source": [
    "# National Stats"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "05ec674e-60b3-491c-b056-b7518fbb451c",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "for key in data_m.academics.program_percentage.fields:\n",
    "    mean = ak.mean(data_m.academics.program_percentage[key], axis=0)\n",
    "    if ak.all(mean < 0.03):\n",
    "        continue\n",
    "    plt.plot(mean * 100, label=key)\n",
    "plt.xlabel(\"Year\")\n",
    "plt.ylabel(\"Percent Enrollment\")\n",
    "plt.title(\"Average Enrollment (National)\")\n",
    "plt.legend()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 139,
   "id": "374e8840-4e00-4b53-b2de-ec59c967b25e",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "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>Name</th>\n",
       "      <th>Percent</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>business_marketing</td>\n",
       "      <td>17.399856</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>health</td>\n",
       "      <td>12.027962</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>humanities</td>\n",
       "      <td>9.546438</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>education</td>\n",
       "      <td>6.705871</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>social_science</td>\n",
       "      <td>6.253486</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>psychology</td>\n",
       "      <td>5.195744</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>biological</td>\n",
       "      <td>4.908001</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>visual_performing</td>\n",
       "      <td>3.903754</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>communication</td>\n",
       "      <td>3.192944</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>security_law_enforcement</td>\n",
       "      <td>3.019295</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>computer</td>\n",
       "      <td>2.808726</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>engineering</td>\n",
       "      <td>2.803155</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>english</td>\n",
       "      <td>2.671756</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>multidiscipline</td>\n",
       "      <td>1.964365</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>parks_recreation_fitness</td>\n",
       "      <td>1.885363</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>history</td>\n",
       "      <td>1.670524</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>public_administration_social_service</td>\n",
       "      <td>1.601816</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>physical_science</td>\n",
       "      <td>1.598245</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>engineering_technology</td>\n",
       "      <td>1.377941</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>family_consumer_science</td>\n",
       "      <td>1.222658</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>mathematics</td>\n",
       "      <td>1.048517</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>language</td>\n",
       "      <td>0.951896</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>agriculture</td>\n",
       "      <td>0.819862</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>mechanic_repair_technology</td>\n",
       "      <td>0.811160</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>resources</td>\n",
       "      <td>0.700875</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>philosophy_religious</td>\n",
       "      <td>0.677424</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>personal_culinary</td>\n",
       "      <td>0.444786</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>theology_religious_vocation</td>\n",
       "      <td>0.432991</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>precision_production</td>\n",
       "      <td>0.379921</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>ethnic_cultural_gender</td>\n",
       "      <td>0.368425</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>legal</td>\n",
       "      <td>0.366860</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>transportation</td>\n",
       "      <td>0.331288</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>construction</td>\n",
       "      <td>0.317400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>architecture</td>\n",
       "      <td>0.243856</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>communications_technology</td>\n",
       "      <td>0.215724</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>science_technology</td>\n",
       "      <td>0.080646</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>military</td>\n",
       "      <td>0.035292</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>library</td>\n",
       "      <td>0.012911</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                    Name    Percent\n",
       "36                    business_marketing  17.399856\n",
       "35                                health  12.027962\n",
       "15                            humanities   9.546438\n",
       "8                              education   6.705871\n",
       "29                        social_science   6.253486\n",
       "26                            psychology   5.195744\n",
       "17                            biological   4.908001\n",
       "34                     visual_performing   3.903754\n",
       "4                          communication   3.192944\n",
       "27              security_law_enforcement   3.019295\n",
       "6                               computer   2.808726\n",
       "9                            engineering   2.803155\n",
       "14                               english   2.671756\n",
       "20                       multidiscipline   1.964365\n",
       "21              parks_recreation_fitness   1.885363\n",
       "37                               history   1.670524\n",
       "28  public_administration_social_service   1.601816\n",
       "24                      physical_science   1.598245\n",
       "10                engineering_technology   1.377941\n",
       "12               family_consumer_science   1.222658\n",
       "18                           mathematics   1.048517\n",
       "11                              language   0.951896\n",
       "0                            agriculture   0.819862\n",
       "31            mechanic_repair_technology   0.811160\n",
       "1                              resources   0.700875\n",
       "22                  philosophy_religious   0.677424\n",
       "7                      personal_culinary   0.444786\n",
       "23           theology_religious_vocation   0.432991\n",
       "32                  precision_production   0.379921\n",
       "3                 ethnic_cultural_gender   0.368425\n",
       "13                                 legal   0.366860\n",
       "33                        transportation   0.331288\n",
       "30                          construction   0.317400\n",
       "2                           architecture   0.243856\n",
       "5              communications_technology   0.215724\n",
       "25                    science_technology   0.080646\n",
       "19                              military   0.035292\n",
       "16                               library   0.012911"
      ]
     },
     "execution_count": 139,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Mean, nationwide, across all years\n",
    "vals = {}\n",
    "percents = data_m.academics.program_percentage\n",
    "for key in percents.fields:\n",
    "    vals[key] = ak.mean(percents[key]) * 100\n",
    "df = pd.DataFrame({'Name': vals.keys(), 'Percent': vals.values() })\n",
    "df.sort_values(\"Percent\", ascending=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 140,
   "id": "ae60aa2d-0c12-4167-88b8-6ad6f14b88a2",
   "metadata": {},
   "outputs": [
    {
     "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>Name</th>\n",
       "      <th>Percent</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>health</td>\n",
       "      <td>22.149643</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>business_marketing</td>\n",
       "      <td>14.511786</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>humanities</td>\n",
       "      <td>10.181786</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>education</td>\n",
       "      <td>7.426786</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>computer</td>\n",
       "      <td>7.148571</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>mechanic_repair_technology</td>\n",
       "      <td>6.220357</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>security_law_enforcement</td>\n",
       "      <td>4.961071</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>engineering_technology</td>\n",
       "      <td>3.409286</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>multidiscipline</td>\n",
       "      <td>2.957857</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>family_consumer_science</td>\n",
       "      <td>2.880357</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>precision_production</td>\n",
       "      <td>2.701429</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>biological</td>\n",
       "      <td>2.671786</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>social_science</td>\n",
       "      <td>2.312143</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>public_administration_social_service</td>\n",
       "      <td>1.677500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>psychology</td>\n",
       "      <td>1.285714</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>communication</td>\n",
       "      <td>1.136786</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>engineering</td>\n",
       "      <td>0.972143</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>visual_performing</td>\n",
       "      <td>0.807500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>personal_culinary</td>\n",
       "      <td>0.698571</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>language</td>\n",
       "      <td>0.633929</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>mathematics</td>\n",
       "      <td>0.611071</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>parks_recreation_fitness</td>\n",
       "      <td>0.593214</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>construction</td>\n",
       "      <td>0.573571</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>legal</td>\n",
       "      <td>0.529286</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>physical_science</td>\n",
       "      <td>0.421429</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>english</td>\n",
       "      <td>0.237500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>history</td>\n",
       "      <td>0.208929</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>philosophy_religious</td>\n",
       "      <td>0.072500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>ethnic_cultural_gender</td>\n",
       "      <td>0.007500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>resources</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>communications_technology</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>architecture</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>agriculture</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>library</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>military</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>science_technology</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>theology_religious_vocation</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>transportation</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                    Name    Percent\n",
       "35                                health  22.149643\n",
       "36                    business_marketing  14.511786\n",
       "15                            humanities  10.181786\n",
       "8                              education   7.426786\n",
       "6                               computer   7.148571\n",
       "31            mechanic_repair_technology   6.220357\n",
       "27              security_law_enforcement   4.961071\n",
       "10                engineering_technology   3.409286\n",
       "20                       multidiscipline   2.957857\n",
       "12               family_consumer_science   2.880357\n",
       "32                  precision_production   2.701429\n",
       "17                            biological   2.671786\n",
       "29                        social_science   2.312143\n",
       "28  public_administration_social_service   1.677500\n",
       "26                            psychology   1.285714\n",
       "4                          communication   1.136786\n",
       "9                            engineering   0.972143\n",
       "34                     visual_performing   0.807500\n",
       "7                      personal_culinary   0.698571\n",
       "11                              language   0.633929\n",
       "18                           mathematics   0.611071\n",
       "21              parks_recreation_fitness   0.593214\n",
       "30                          construction   0.573571\n",
       "13                                 legal   0.529286\n",
       "24                      physical_science   0.421429\n",
       "14                               english   0.237500\n",
       "37                               history   0.208929\n",
       "22                  philosophy_religious   0.072500\n",
       "3                 ethnic_cultural_gender   0.007500\n",
       "1                              resources   0.000000\n",
       "5              communications_technology   0.000000\n",
       "2                           architecture   0.000000\n",
       "0                            agriculture   0.000000\n",
       "16                               library   0.000000\n",
       "19                              military   0.000000\n",
       "25                    science_technology   0.000000\n",
       "23           theology_religious_vocation   0.000000\n",
       "33                        transportation   0.000000"
      ]
     },
     "execution_count": 140,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Mean, nationwide, across latest year\n",
    "vals = {}\n",
    "percents = data_m.academics.program_percentage\n",
    "for key in percents.fields:\n",
    "    vals[key] = ak.mean(percents[key, -1]) * 100\n",
    "df = pd.DataFrame({'Name': vals.keys(), 'Percent': vals.values() })\n",
    "df.sort_values(\"Percent\", ascending=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e26eb9c8-4899-4d42-910f-502c26d49c7f",
   "metadata": {},
   "source": [
    "# Enrollment, UA"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 141,
   "id": "f6a650c7-8f9d-416f-8830-b51fce67451a",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>Name</th>\n",
       "      <th>Percent</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>business_marketing</td>\n",
       "      <td>30.11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>engineering</td>\n",
       "      <td>9.66</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>health</td>\n",
       "      <td>9.66</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>communication</td>\n",
       "      <td>9.42</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>social_science</td>\n",
       "      <td>7.99</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>family_consumer_science</td>\n",
       "      <td>6.96</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>psychology</td>\n",
       "      <td>5.13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>biological</td>\n",
       "      <td>3.89</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>parks_recreation_fitness</td>\n",
       "      <td>2.86</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>education</td>\n",
       "      <td>2.72</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>visual_performing</td>\n",
       "      <td>2.17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>multidiscipline</td>\n",
       "      <td>1.72</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>computer</td>\n",
       "      <td>1.44</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>history</td>\n",
       "      <td>1.17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>public_administration_social_service</td>\n",
       "      <td>1.09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>physical_science</td>\n",
       "      <td>1.06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>english</td>\n",
       "      <td>0.97</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>mathematics</td>\n",
       "      <td>0.89</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>language</td>\n",
       "      <td>0.45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>resources</td>\n",
       "      <td>0.38</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>philosophy_religious</td>\n",
       "      <td>0.18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>ethnic_cultural_gender</td>\n",
       "      <td>0.09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>communications_technology</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>architecture</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>agriculture</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>library</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>engineering_technology</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>personal_culinary</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>humanities</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>legal</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>military</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>security_law_enforcement</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>theology_religious_vocation</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>science_technology</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>transportation</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>precision_production</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>mechanic_repair_technology</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>construction</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                    Name  Percent\n",
       "36                    business_marketing    30.11\n",
       "9                            engineering     9.66\n",
       "35                                health     9.66\n",
       "4                          communication     9.42\n",
       "29                        social_science     7.99\n",
       "12               family_consumer_science     6.96\n",
       "26                            psychology     5.13\n",
       "17                            biological     3.89\n",
       "21              parks_recreation_fitness     2.86\n",
       "8                              education     2.72\n",
       "34                     visual_performing     2.17\n",
       "20                       multidiscipline     1.72\n",
       "6                               computer     1.44\n",
       "37                               history     1.17\n",
       "28  public_administration_social_service     1.09\n",
       "24                      physical_science     1.06\n",
       "14                               english     0.97\n",
       "18                           mathematics     0.89\n",
       "11                              language     0.45\n",
       "1                              resources     0.38\n",
       "22                  philosophy_religious     0.18\n",
       "3                 ethnic_cultural_gender     0.09\n",
       "5              communications_technology     0.00\n",
       "2                           architecture     0.00\n",
       "0                            agriculture     0.00\n",
       "16                               library     0.00\n",
       "10                engineering_technology     0.00\n",
       "7                      personal_culinary     0.00\n",
       "15                            humanities     0.00\n",
       "13                                 legal     0.00\n",
       "19                              military     0.00\n",
       "27              security_law_enforcement     0.00\n",
       "23           theology_religious_vocation     0.00\n",
       "25                    science_technology     0.00\n",
       "33                        transportation     0.00\n",
       "32                  precision_production     0.00\n",
       "31            mechanic_repair_technology     0.00\n",
       "30                          construction     0.00"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "100.00999999999999"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.clf()\n",
    "for key in data_ua.academics.program_percentage.fields:\n",
    "    vals = data_ua.academics.program_percentage[key]\n",
    "    if ak.sum(vals) == 0:\n",
    "        continue\n",
    "    if ak.all(vals < 0.05):\n",
    "        continue\n",
    "\n",
    "    plt.plot(vals * 100, label=key)\n",
    "plt.xlabel(\"Year\")\n",
    "plt.ylabel(\"Percent Enrollment\")\n",
    "plt.title(\"Average Enrollment (UA)\")\n",
    "plt.legend()\n",
    "plt.show()\n",
    "\n",
    "\n",
    "vals = {}\n",
    "data_m = data_ua.academics.program_percentage\n",
    "for key in data_m.fields:\n",
    "    vals[key] = data_m[key][-1] * 100\n",
    "    \n",
    "df = pd.DataFrame({'Name': vals.keys(), 'Percent': vals.values() })\n",
    "display(df.sort_values(\"Percent\", ascending=False))\n",
    "display(sum(df['Percent']))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9bcaeac8-65a6-44fb-9258-b9a89982db15",
   "metadata": {},
   "source": [
    "# Misc. Stats (Fun)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 142,
   "id": "8253df27-7f36-4bf4-9e8f-b6462e0a774c",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "avg_students = ak.mean(data.student.enrollment.undergrad_12_month, axis=1)\n",
    "plt.hist(avg_students, bins=np.arange(0, 100_000, 1_000))\n",
    "plt.xlabel(\"Students Enrolled\")\n",
    "plt.ylabel(\"Univeristy Count\")\n",
    "plt.title(\"Enrollemnt Distribution (Average)\")\n",
    "plt.yscale(\"log\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 143,
   "id": "e44f0fcc-1643-4830-82af-afb53eeed47c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.hist(data.student.enrollment.undergrad_12_month[:, -1], bins=np.arange(0, 100_000, 1_000))\n",
    "plt.xlabel(\"Students Enrolled\")\n",
    "plt.ylabel(\"Univeristy Count\")\n",
    "plt.title(\"Enrollemnt Distribution (Last Year)\")\n",
    "plt.yscale(\"log\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 144,
   "id": "eaf92130-15b0-466e-8fa4-a9540b27d1f1",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(array([ 35.,  48.,  40.,  75., 118., 158., 227., 334., 389., 522.]),\n",
       " array([0. , 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1. ]),\n",
       " <BarContainer object of 10 artists>)"
      ]
     },
     "execution_count": 144,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.hist(data.admissions.admission_rate.overall[:, -1])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 145,
   "id": "afba0d1b-3dc4-4750-b61b-8ebbedf110a7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['name',\n",
       " 'city',\n",
       " 'state',\n",
       " 'zip',\n",
       " 'accreditor',\n",
       " 'school_url',\n",
       " 'price_calculator_url',\n",
       " 'degrees_awarded',\n",
       " 'under_investigation',\n",
       " 'main_campus',\n",
       " 'branches',\n",
       " 'ownership',\n",
       " 'state_fips',\n",
       " 'region_id',\n",
       " 'locale',\n",
       " 'degree_urbanization',\n",
       " 'carnegie_basic',\n",
       " 'carnegie_undergrad',\n",
       " 'carnegie_size_setting',\n",
       " 'minority_serving',\n",
       " 'men_only',\n",
       " 'women_only',\n",
       " 'religious_affiliation',\n",
       " 'online_only',\n",
       " 'operating',\n",
       " 'tuition_revenue_per_fte',\n",
       " 'instructional_expenditure_per_fte',\n",
       " 'faculty_salary',\n",
       " 'ft_faculty_rate',\n",
       " 'alias',\n",
       " 'institutional_characteristics',\n",
       " 'open_admissions_policy',\n",
       " 'accreditor_code',\n",
       " 'title_iv',\n",
       " 'ownership_peps',\n",
       " 'endowment',\n",
       " 'dolflag',\n",
       " 'peps_ownership',\n",
       " 'address',\n",
       " 'sector']"
      ]
     },
     "execution_count": 145,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.school.fields"
   ]
  }
 ],
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