Analysis_Polyrating.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import json \n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "raw_df = pd.read_json(\"polyrating.json\",orient='columns')\n",
    "\n",
    "def flatten(a):\n",
    "    try:\n",
    "        return a[0]\n",
    "    except:\n",
    "        return a\n",
    "    \n",
    "def explode(df, lst_cols, fill_value=''):\n",
    "    # make sure `lst_cols` is a list\n",
    "    if lst_cols and not isinstance(lst_cols, list):\n",
    "        lst_cols = [lst_cols]\n",
    "    # all columns except `lst_cols`\n",
    "    idx_cols = df.columns.difference(lst_cols)\n",
    "\n",
    "    # calculate lengths of lists\n",
    "    lens = df[lst_cols[0]].str.len()\n",
    "\n",
    "    if (lens > 0).all():\n",
    "        # ALL lists in cells aren't empty\n",
    "        return pd.DataFrame({\n",
    "            col:np.repeat(df[col].values, lens)\n",
    "            for col in idx_cols\n",
    "        }).assign(**{col:np.concatenate(df[col].values) for col in lst_cols}) \\\n",
    "          .loc[:, df.columns]\n",
    "    else:\n",
    "        # at least one list in cells is empty\n",
    "        return pd.DataFrame({\n",
    "            col:np.repeat(df[col].values, lens)\n",
    "            for col in idx_cols\n",
    "        }).assign(**{col:np.concatenate(df[col].values) for col in lst_cols}) \\\n",
    "          .append(df.loc[lens==0, idx_cols]).fillna(fill_value) \\\n",
    "          .loc[:, df.columns]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "raw_df1 = explode(raw_df,\"reviews\")\n",
    "split_review = raw_df1[\"reviews\"].apply(pd.Series)\n",
    "df = raw_df1.join(split_review)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = df.drop(\"reviews\",axis=1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Cleaning"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Make rating numeric"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "df[\"agg_rating\"] = pd.to_numeric(df[\"agg_rating\"].str[:4], errors=\"coerce\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "def get_course_num(course):\n",
    "    if len(course) == 2:\n",
    "        return course[1]\n",
    "    else:\n",
    "        return course\n",
    "\n",
    "df[\"year\"] = df[\"date\"].str.extract('(\\d+)')\n",
    "df[\"month\"] = df[\"date\"].str[:3]\n",
    "df[\"course_num\"] = pd.to_numeric(df[\"class\"].str.split(\"_\").apply(get_course_num))\n",
    "df[\"level\"] = pd.to_numeric(df['course_num'].astype(str).str[0] + \"00\")\n",
    "\n",
    "df = df[(df[\"course_num\"] > 99) & (df[\"course_num\"] < 551)]\n",
    "\n",
    "df[\"name_class\"] = df[\"prof_name\"] + ' (' + df[\"subject\"] + \")\"\n",
    "df.drop(\"subject\",axis=1, inplace =True)\n",
    "df.drop(\"prof_name\",axis=1, inplace=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Average Grade by Year"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "df[\"gpa\"] = df.grade.map({\n",
    "    \"A\":4,\n",
    "    \"B\":3,\n",
    "    \"C\":2,\n",
    "    \"D\":1,\n",
    "    \"F\":0\n",
    "})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x104ae21d0>"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df.groupby(\"standing\")[\"gpa\"].mean()[[\"Freshman\", \"Sophomore\", \"Junior\", \"Senior\"]].plot.bar(ylim=(3.05, 3.25))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Average Rating of Professor by Year"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x115cc5a58>"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df.groupby(\"standing\")[\"agg_rating\"].mean()[[\"Freshman\", \"Sophomore\", \"Junior\", \"Senior\"]].plot.bar(ylim=(2.4, 2.75), title=\"Average Grade Earned by Grade Level\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Polyrating vs. Average Grade"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "profs = df[\"name_class\"].value_counts()[df[\"name_class\"].value_counts() > 30].to_frame().index.tolist()\n",
    "high_rating_count = df[(df[\"name_class\"].isin(profs))]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x115b28160>"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "professor_means = high_rating_count.groupby(\"name_class\")[[\"agg_rating\",\"gpa\"]].mean()\n",
    "high_rating_count.groupby(\"name_class\")[[\"agg_rating\",\"gpa\"]].mean().plot.scatter(x=\"agg_rating\", y=\"gpa\", title=\"Average Grade Earned by Polyrating\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 360x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import seaborn as sns\n",
    "import math\n",
    "\n",
    "avg_rev_len = high_rating_count.groupby(\"name_class\")[\"review\"].apply(lambda x: np.mean(x.str.len()))\n",
    "professor_means[\"avg_rev_len\"] = avg_rev_len\n",
    "sns.lmplot(x=\"agg_rating\", y=\"gpa\", data=professor_means, fit_reg=True)\n",
    "professor_means[\"log_transform\"] = np.log(professor_means[\"avg_rev_len\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x114705240>"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "professor_means[professor_means[\"avg_rev_len\"] < 1000].plot.scatter(x=\"agg_rating\", y=\"gpa\", c=\"avg_rev_len\", title=\"Average Grade Earned by Polyrating (Shaded for Avg. Character Length of Review)\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Avg. Grade by Course Type"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x114958940>"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df.groupby(\"reason\")[\"gpa\"].mean().drop(\"N/A\").plot.bar(ylim=(2.9, 3.4), title=\"Average Grade Earned by Reason for Taking Class\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Avg. Grade by Year and Month"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1146652e8>"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df.groupby(\"year\")[\"gpa\"].mean().plot(title=\"Average Grade Earned in Class by Year\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x114760eb8>"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df.groupby(\"year\")[\"agg_rating\"].mean().plot(title=\"Average Polyrating of Professors by Year\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1148ec978>"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df.groupby(\"month\")[\"gpa\"].mean()[[\"Jan\", \"Feb\", \"Mar\", \"Apr\",\"May\", \"Jun\",\n",
    "                                   \"Jul\", \"Aug\", \"Sep\", \"Oct\", \"Nov\", \"Dec\"]].plot.bar(ylim=(3, 3.3), title=\"Average Grade Earned in Class by Month Polyrating was Submitted\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Average Grade by Course Level"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x114e167f0>"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df.groupby(\"level\")[\"gpa\"].mean().plot.bar(ylim=(3, 3.43), title=\"Average Grade Earned in Class by Course Level\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Polyrating by Keywords"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "df[\"awesome\"] = df[\"review\"].str.contains(\"awesome\")\n",
    "df[\"shit\"] = df[\"review\"].str.contains(\"shit\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "awesome\n",
       "False    2.602295\n",
       "True     3.090410\n",
       "Name: agg_rating, dtype: float64"
      ]
     },
     "execution_count": 72,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import seaborn as sns\n",
    "\n",
    "sns.boxplot(x=\"awesome\", y=\"agg_rating\", data=df).set_title(\"Average Polyrating if Review contains the Word 'Awesome'\")\n",
    "df.groupby(\"awesome\")[\"agg_rating\"].mean()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "shit\n",
       "False    2.635707\n",
       "True     2.358353\n",
       "Name: agg_rating, dtype: float64"
      ]
     },
     "execution_count": 73,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.boxplot(x=\"shit\", y=\"agg_rating\", data=df).set_title(\"Average Polyrating if Review contains the Word 'Awesome'\")\n",
    "df.groupby(\"shit\")[\"agg_rating\"].mean()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "metadata": {},
   "outputs": [],
   "source": [
    "top_adj = [\"helpful\", \"clear\", \"kind\", \"funny\", \"terrible\", \"confused\", \"happy\", \"enthusiastic\", \"excited\",\n",
    "          \"sweet\", \"friendly\", \"wonderful\", \"perfect\", \"lazy\", \"frusterating\", \"fantastic\", \"arrogant\",\n",
    "           \"condescending\", \"bored\", \"energetic\", \"dull\", \"odd\", \"strange\", \"sarcastic\", \"pleasant\", \"witty\",\n",
    "           \"pompous\", \"creepy\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [],
   "source": [
    "listofadj = []\n",
    "df_test = pd.DataFrame(columns=[\"name_class\",\"adjectives\"])\n",
    "for prof in df[\"name_class\"].unique():\n",
    "    prof_sub = df[df[\"name_class\"] == prof]\n",
    "    adj_dict = {}\n",
    "    for adj in top_adj:\n",
    "        adj_dict[adj] = 0\n",
    "    for review in prof_sub[\"review\"]:\n",
    "        for word in review.lower().split():\n",
    "            if word in top_adj:\n",
    "                adj_dict[word] += 1\n",
    "    df_test = df_test.append({\"name_class\": prof,\n",
    "                              \"adjectives\": adj_dict}, ignore_index=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 111,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_test_adj = df_test[\"adjectives\"].apply(pd.Series)\n",
    "temp = df_test.join(df_test_adj).drop(\"adjectives\",axis=1)\n",
    "temp\n",
    "\n",
    "full = pd.merge(df,temp,\n",
    "       on = \"name_class\",\n",
    "       how = \"left\").drop([\"standing\", \"course_num\", \"level\", \"class\", \"reason\", \"date\", \"review\", \n",
    "                           \"year\", \"month\", \"gpa\", \"awesome\", \"shit\", \"grade\"], axis=1\n",
    "                         ).drop_duplicates()\n",
    "\n",
    "full.loc[55106, \"agg_rating\"] = 1.86\n",
    "full.drop(55156, inplace=True)\n",
    "full.loc[63045, \"agg_rating\"] = 3.75\n",
    "full.drop(63069, inplace=True)\n",
    "full.loc[38836, \"agg_rating\"] = 2.53\n",
    "full.drop(38843, inplace=True)\n",
    "full.loc[62886, \"agg_rating\"] = 2.95\n",
    "full.drop(62905, inplace=True)\n",
    "full.loc[3547, \"agg_rating\"] = 2.41\n",
    "full.drop(3591, inplace=True)\n",
    "full.loc[35023, \"agg_rating\"] = 1.62\n",
    "full.drop(35039, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 112,
   "metadata": {},
   "outputs": [],
   "source": [
    "full2 = full.set_index(\"name_class\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 113,
   "metadata": {},
   "outputs": [],
   "source": [
    "full2[\"total_adj\"] = full2.sum(axis=1) - full2['agg_rating']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 114,
   "metadata": {},
   "outputs": [],
   "source": [
    "same = [('Aberbromby, Kira (AERO)', 'abercromby, kira (AERO)')]\n",
    "\n",
    "for item1, item2 in same:\n",
    "    full2.loc['Aberbromby, Kira (AERO)'] = full2.loc['Aberbromby, Kira (AERO)'] + full2.loc['abercromby, kira (AERO)']\n",
    "    full2.loc['Aberbromby, Kira (AERO)', \"agg_rating\"] = full2.loc['Aberbromby, Kira (AERO)', \"agg_rating\"] / 2\n",
    "    full2.drop('abercromby, kira (AERO)', inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 115,
   "metadata": {},
   "outputs": [],
   "source": [
    "for adj in top_adj:\n",
    "    full2[adj] = full2[adj] / full2[\"total_adj\"]\n",
    "full2.fillna(0, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 116,
   "metadata": {},
   "outputs": [],
   "source": [
    "full2.drop(\"total_adj\", axis=1, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 117,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.metrics import pairwise_distances\n",
    "\n",
    "D_ = pairwise_distances(full2, metric=\"euclidean\")\n",
    "np.fill_diagonal(D_, np.inf)\n",
    "D_ = pd.DataFrame(D_)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 118,
   "metadata": {},
   "outputs": [
    {
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       "      <th>2460</th>\n",
       "      <th>2461</th>\n",
       "      <th>2462</th>\n",
       "      <th>2463</th>\n",
       "      <th>2464</th>\n",
       "      <th>2465</th>\n",
       "      <th>2466</th>\n",
       "      <th>2467</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>inf</td>\n",
       "      <td>0.304769</td>\n",
       "      <td>1.089088</td>\n",
       "      <td>1.904466</td>\n",
       "      <td>1.012525</td>\n",
       "      <td>1.230493</td>\n",
       "      <td>1.008261</td>\n",
       "      <td>0.759250</td>\n",
       "      <td>0.845841</td>\n",
       "      <td>0.656828</td>\n",
       "      <td>...</td>\n",
       "      <td>0.733770</td>\n",
       "      <td>0.448129</td>\n",
       "      <td>0.599171</td>\n",
       "      <td>2.088607</td>\n",
       "      <td>1.154508</td>\n",
       "      <td>1.102563</td>\n",
       "      <td>0.644784</td>\n",
       "      <td>1.318886</td>\n",
       "      <td>0.527428</td>\n",
       "      <td>1.887356</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0.304769</td>\n",
       "      <td>inf</td>\n",
       "      <td>1.023771</td>\n",
       "      <td>1.986435</td>\n",
       "      <td>1.109890</td>\n",
       "      <td>1.340976</td>\n",
       "      <td>1.084954</td>\n",
       "      <td>0.804751</td>\n",
       "      <td>1.056253</td>\n",
       "      <td>0.800958</td>\n",
       "      <td>...</td>\n",
       "      <td>0.840410</td>\n",
       "      <td>0.532680</td>\n",
       "      <td>0.756088</td>\n",
       "      <td>2.226879</td>\n",
       "      <td>1.000857</td>\n",
       "      <td>0.939664</td>\n",
       "      <td>0.852743</td>\n",
       "      <td>1.419541</td>\n",
       "      <td>0.733991</td>\n",
       "      <td>1.974666</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1.089088</td>\n",
       "      <td>1.023771</td>\n",
       "      <td>inf</td>\n",
       "      <td>2.400750</td>\n",
       "      <td>1.694944</td>\n",
       "      <td>1.845102</td>\n",
       "      <td>1.624315</td>\n",
       "      <td>1.321779</td>\n",
       "      <td>1.720581</td>\n",
       "      <td>1.403175</td>\n",
       "      <td>...</td>\n",
       "      <td>1.483779</td>\n",
       "      <td>1.271591</td>\n",
       "      <td>1.442556</td>\n",
       "      <td>2.721195</td>\n",
       "      <td>1.285340</td>\n",
       "      <td>1.276110</td>\n",
       "      <td>1.540162</td>\n",
       "      <td>1.915171</td>\n",
       "      <td>1.442429</td>\n",
       "      <td>2.433187</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1.904466</td>\n",
       "      <td>1.986435</td>\n",
       "      <td>2.400750</td>\n",
       "      <td>inf</td>\n",
       "      <td>1.194939</td>\n",
       "      <td>1.346700</td>\n",
       "      <td>1.198165</td>\n",
       "      <td>1.773105</td>\n",
       "      <td>1.709269</td>\n",
       "      <td>1.584961</td>\n",
       "      <td>...</td>\n",
       "      <td>1.389244</td>\n",
       "      <td>1.690723</td>\n",
       "      <td>1.508300</td>\n",
       "      <td>1.319129</td>\n",
       "      <td>2.632280</td>\n",
       "      <td>2.537648</td>\n",
       "      <td>1.941365</td>\n",
       "      <td>1.110331</td>\n",
       "      <td>1.607794</td>\n",
       "      <td>1.414779</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1.012525</td>\n",
       "      <td>1.109890</td>\n",
       "      <td>1.694944</td>\n",
       "      <td>1.194939</td>\n",
       "      <td>inf</td>\n",
       "      <td>0.534985</td>\n",
       "      <td>0.363366</td>\n",
       "      <td>0.949125</td>\n",
       "      <td>0.992555</td>\n",
       "      <td>0.739045</td>\n",
       "      <td>...</td>\n",
       "      <td>0.425451</td>\n",
       "      <td>0.736135</td>\n",
       "      <td>0.575991</td>\n",
       "      <td>1.230735</td>\n",
       "      <td>1.862143</td>\n",
       "      <td>1.751903</td>\n",
       "      <td>1.172035</td>\n",
       "      <td>0.425132</td>\n",
       "      <td>0.656877</td>\n",
       "      <td>1.063603</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 2468 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       0         1         2         3         4         5         6     \\\n",
       "0       inf  0.304769  1.089088  1.904466  1.012525  1.230493  1.008261   \n",
       "1  0.304769       inf  1.023771  1.986435  1.109890  1.340976  1.084954   \n",
       "2  1.089088  1.023771       inf  2.400750  1.694944  1.845102  1.624315   \n",
       "3  1.904466  1.986435  2.400750       inf  1.194939  1.346700  1.198165   \n",
       "4  1.012525  1.109890  1.694944  1.194939       inf  0.534985  0.363366   \n",
       "\n",
       "       7         8         9       ...         2458      2459      2460  \\\n",
       "0  0.759250  0.845841  0.656828    ...     0.733770  0.448129  0.599171   \n",
       "1  0.804751  1.056253  0.800958    ...     0.840410  0.532680  0.756088   \n",
       "2  1.321779  1.720581  1.403175    ...     1.483779  1.271591  1.442556   \n",
       "3  1.773105  1.709269  1.584961    ...     1.389244  1.690723  1.508300   \n",
       "4  0.949125  0.992555  0.739045    ...     0.425451  0.736135  0.575991   \n",
       "\n",
       "       2461      2462      2463      2464      2465      2466      2467  \n",
       "0  2.088607  1.154508  1.102563  0.644784  1.318886  0.527428  1.887356  \n",
       "1  2.226879  1.000857  0.939664  0.852743  1.419541  0.733991  1.974666  \n",
       "2  2.721195  1.285340  1.276110  1.540162  1.915171  1.442429  2.433187  \n",
       "3  1.319129  2.632280  2.537648  1.941365  1.110331  1.607794  1.414779  \n",
       "4  1.230735  1.862143  1.751903  1.172035  0.425132  0.656877  1.063603  \n",
       "\n",
       "[5 rows x 2468 columns]"
      ]
     },
     "execution_count": 118,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "D_.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 119,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>name_class</th>\n",
       "      <th>Abel, Christina (CHEM)</th>\n",
       "      <th>Aberbromby, Kira (AERO)</th>\n",
       "      <th>Abitia, Fred (IT)</th>\n",
       "      <th>Abler, Fred (ARCH)</th>\n",
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       "      <th>Adam, Sandra (AGB)</th>\n",
       "      <th>Adams, Nikki (BIO)</th>\n",
       "      <th>...</th>\n",
       "      <th>Zhang, Ning (POLS)</th>\n",
       "      <th>Zhang, Shanju (CHEM)</th>\n",
       "      <th>Zhang, Xiaozheng (EE)</th>\n",
       "      <th>Zinn, Jesse (ECON)</th>\n",
       "      <th>Zohns, Mark (BRAE)</th>\n",
       "      <th>Zohns, Michael (EHS)</th>\n",
       "      <th>Zoller, David (PHIL)</th>\n",
       "      <th>Zulfacar, Maliha (SOC)</th>\n",
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       "      <th>Zweifel, Dick (ARCH)</th>\n",
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       "    <tr>\n",
       "      <th>name_class</th>\n",
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       "      <th></th>\n",
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       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Abel, Christina (CHEM)</th>\n",
       "      <td>inf</td>\n",
       "      <td>0.304769</td>\n",
       "      <td>1.089088</td>\n",
       "      <td>1.904466</td>\n",
       "      <td>1.012525</td>\n",
       "      <td>1.230493</td>\n",
       "      <td>1.008261</td>\n",
       "      <td>0.759250</td>\n",
       "      <td>0.845841</td>\n",
       "      <td>0.656828</td>\n",
       "      <td>...</td>\n",
       "      <td>0.733770</td>\n",
       "      <td>0.448129</td>\n",
       "      <td>0.599171</td>\n",
       "      <td>2.088607</td>\n",
       "      <td>1.154508</td>\n",
       "      <td>1.102563</td>\n",
       "      <td>0.644784</td>\n",
       "      <td>1.318886</td>\n",
       "      <td>0.527428</td>\n",
       "      <td>1.887356</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Aberbromby, Kira (AERO)</th>\n",
       "      <td>0.304769</td>\n",
       "      <td>inf</td>\n",
       "      <td>1.023771</td>\n",
       "      <td>1.986435</td>\n",
       "      <td>1.109890</td>\n",
       "      <td>1.340976</td>\n",
       "      <td>1.084954</td>\n",
       "      <td>0.804751</td>\n",
       "      <td>1.056253</td>\n",
       "      <td>0.800958</td>\n",
       "      <td>...</td>\n",
       "      <td>0.840410</td>\n",
       "      <td>0.532680</td>\n",
       "      <td>0.756088</td>\n",
       "      <td>2.226879</td>\n",
       "      <td>1.000857</td>\n",
       "      <td>0.939664</td>\n",
       "      <td>0.852743</td>\n",
       "      <td>1.419541</td>\n",
       "      <td>0.733991</td>\n",
       "      <td>1.974666</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Abitia, Fred (IT)</th>\n",
       "      <td>1.089088</td>\n",
       "      <td>1.023771</td>\n",
       "      <td>inf</td>\n",
       "      <td>2.400750</td>\n",
       "      <td>1.694944</td>\n",
       "      <td>1.845102</td>\n",
       "      <td>1.624315</td>\n",
       "      <td>1.321779</td>\n",
       "      <td>1.720581</td>\n",
       "      <td>1.403175</td>\n",
       "      <td>...</td>\n",
       "      <td>1.483779</td>\n",
       "      <td>1.271591</td>\n",
       "      <td>1.442556</td>\n",
       "      <td>2.721195</td>\n",
       "      <td>1.285340</td>\n",
       "      <td>1.276110</td>\n",
       "      <td>1.540162</td>\n",
       "      <td>1.915171</td>\n",
       "      <td>1.442429</td>\n",
       "      <td>2.433187</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Abler, Fred (ARCH)</th>\n",
       "      <td>1.904466</td>\n",
       "      <td>1.986435</td>\n",
       "      <td>2.400750</td>\n",
       "      <td>inf</td>\n",
       "      <td>1.194939</td>\n",
       "      <td>1.346700</td>\n",
       "      <td>1.198165</td>\n",
       "      <td>1.773105</td>\n",
       "      <td>1.709269</td>\n",
       "      <td>1.584961</td>\n",
       "      <td>...</td>\n",
       "      <td>1.389244</td>\n",
       "      <td>1.690723</td>\n",
       "      <td>1.508300</td>\n",
       "      <td>1.319129</td>\n",
       "      <td>2.632280</td>\n",
       "      <td>2.537648</td>\n",
       "      <td>1.941365</td>\n",
       "      <td>1.110331</td>\n",
       "      <td>1.607794</td>\n",
       "      <td>1.414779</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Abney, Keith (PHIL)</th>\n",
       "      <td>1.012525</td>\n",
       "      <td>1.109890</td>\n",
       "      <td>1.694944</td>\n",
       "      <td>1.194939</td>\n",
       "      <td>inf</td>\n",
       "      <td>0.534985</td>\n",
       "      <td>0.363366</td>\n",
       "      <td>0.949125</td>\n",
       "      <td>0.992555</td>\n",
       "      <td>0.739045</td>\n",
       "      <td>...</td>\n",
       "      <td>0.425451</td>\n",
       "      <td>0.736135</td>\n",
       "      <td>0.575991</td>\n",
       "      <td>1.230735</td>\n",
       "      <td>1.862143</td>\n",
       "      <td>1.751903</td>\n",
       "      <td>1.172035</td>\n",
       "      <td>0.425132</td>\n",
       "      <td>0.656877</td>\n",
       "      <td>1.063603</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Abney, Ray (ENGL)</th>\n",
       "      <td>1.230493</td>\n",
       "      <td>1.340976</td>\n",
       "      <td>1.845102</td>\n",
       "      <td>1.346700</td>\n",
       "      <td>0.534985</td>\n",
       "      <td>inf</td>\n",
       "      <td>0.714143</td>\n",
       "      <td>1.103585</td>\n",
       "      <td>1.288410</td>\n",
       "      <td>0.939415</td>\n",
       "      <td>...</td>\n",
       "      <td>0.731847</td>\n",
       "      <td>0.945522</td>\n",
       "      <td>0.782838</td>\n",
       "      <td>1.265899</td>\n",
       "      <td>2.032954</td>\n",
       "      <td>1.943722</td>\n",
       "      <td>1.446686</td>\n",
       "      <td>0.583274</td>\n",
       "      <td>0.816456</td>\n",
       "      <td>0.927362</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Abshire, Franklin (MATH)</th>\n",
       "      <td>1.008261</td>\n",
       "      <td>1.084954</td>\n",
       "      <td>1.624315</td>\n",
       "      <td>1.198165</td>\n",
       "      <td>0.363366</td>\n",
       "      <td>0.714143</td>\n",
       "      <td>inf</td>\n",
       "      <td>0.907689</td>\n",
       "      <td>1.044031</td>\n",
       "      <td>0.694622</td>\n",
       "      <td>...</td>\n",
       "      <td>0.421426</td>\n",
       "      <td>0.768989</td>\n",
       "      <td>0.603463</td>\n",
       "      <td>1.350000</td>\n",
       "      <td>1.813532</td>\n",
       "      <td>1.719900</td>\n",
       "      <td>1.203703</td>\n",
       "      <td>0.496019</td>\n",
       "      <td>0.754056</td>\n",
       "      <td>1.220656</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Acosta, Kellie (BIO)</th>\n",
       "      <td>0.759250</td>\n",
       "      <td>0.804751</td>\n",
       "      <td>1.321779</td>\n",
       "      <td>1.773105</td>\n",
       "      <td>0.949125</td>\n",
       "      <td>1.103585</td>\n",
       "      <td>0.907689</td>\n",
       "      <td>inf</td>\n",
       "      <td>1.229593</td>\n",
       "      <td>0.709507</td>\n",
       "      <td>...</td>\n",
       "      <td>0.793662</td>\n",
       "      <td>0.698363</td>\n",
       "      <td>0.771075</td>\n",
       "      <td>2.046314</td>\n",
       "      <td>1.369306</td>\n",
       "      <td>1.305739</td>\n",
       "      <td>1.172604</td>\n",
       "      <td>1.134198</td>\n",
       "      <td>0.823347</td>\n",
       "      <td>1.803303</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Adam, Sandra (AGB)</th>\n",
       "      <td>0.845841</td>\n",
       "      <td>1.056253</td>\n",
       "      <td>1.720581</td>\n",
       "      <td>1.709269</td>\n",
       "      <td>0.992555</td>\n",
       "      <td>1.288410</td>\n",
       "      <td>1.044031</td>\n",
       "      <td>1.229593</td>\n",
       "      <td>inf</td>\n",
       "      <td>0.950000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.850647</td>\n",
       "      <td>0.896295</td>\n",
       "      <td>0.755977</td>\n",
       "      <td>1.613227</td>\n",
       "      <td>1.837634</td>\n",
       "      <td>1.765802</td>\n",
       "      <td>0.370000</td>\n",
       "      <td>1.205437</td>\n",
       "      <td>0.628172</td>\n",
       "      <td>1.732051</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Adams, Nikki (BIO)</th>\n",
       "      <td>0.656828</td>\n",
       "      <td>0.800958</td>\n",
       "      <td>1.403175</td>\n",
       "      <td>1.584961</td>\n",
       "      <td>0.739045</td>\n",
       "      <td>0.939415</td>\n",
       "      <td>0.694622</td>\n",
       "      <td>0.709507</td>\n",
       "      <td>0.950000</td>\n",
       "      <td>inf</td>\n",
       "      <td>...</td>\n",
       "      <td>0.569298</td>\n",
       "      <td>0.522983</td>\n",
       "      <td>0.548129</td>\n",
       "      <td>1.772005</td>\n",
       "      <td>1.506121</td>\n",
       "      <td>1.430229</td>\n",
       "      <td>0.963535</td>\n",
       "      <td>0.927697</td>\n",
       "      <td>0.595903</td>\n",
       "      <td>1.613227</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Adan, Elizabeth (ART)</th>\n",
       "      <td>0.566397</td>\n",
       "      <td>0.528966</td>\n",
       "      <td>1.107086</td>\n",
       "      <td>2.189804</td>\n",
       "      <td>1.324023</td>\n",
       "      <td>1.458905</td>\n",
       "      <td>1.317589</td>\n",
       "      <td>0.770428</td>\n",
       "      <td>1.313166</td>\n",
       "      <td>0.925740</td>\n",
       "      <td>...</td>\n",
       "      <td>1.085258</td>\n",
       "      <td>0.731547</td>\n",
       "      <td>0.996186</td>\n",
       "      <td>2.435774</td>\n",
       "      <td>0.957466</td>\n",
       "      <td>0.938667</td>\n",
       "      <td>1.083099</td>\n",
       "      <td>1.626211</td>\n",
       "      <td>0.926609</td>\n",
       "      <td>2.098234</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Agalos, Pete (ASCI)</th>\n",
       "      <td>0.512285</td>\n",
       "      <td>0.421550</td>\n",
       "      <td>0.995576</td>\n",
       "      <td>2.021038</td>\n",
       "      <td>1.167513</td>\n",
       "      <td>1.368168</td>\n",
       "      <td>1.123830</td>\n",
       "      <td>0.790151</td>\n",
       "      <td>1.225060</td>\n",
       "      <td>0.843567</td>\n",
       "      <td>...</td>\n",
       "      <td>0.896248</td>\n",
       "      <td>0.572394</td>\n",
       "      <td>0.878861</td>\n",
       "      <td>2.297449</td>\n",
       "      <td>0.843540</td>\n",
       "      <td>0.818384</td>\n",
       "      <td>1.040515</td>\n",
       "      <td>1.444909</td>\n",
       "      <td>0.860771</td>\n",
       "      <td>2.000193</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Agbo, Samuel (EE)</th>\n",
       "      <td>2.014453</td>\n",
       "      <td>2.126174</td>\n",
       "      <td>2.586875</td>\n",
       "      <td>1.156513</td>\n",
       "      <td>1.089423</td>\n",
       "      <td>1.232644</td>\n",
       "      <td>1.146439</td>\n",
       "      <td>1.865774</td>\n",
       "      <td>1.665411</td>\n",
       "      <td>1.633681</td>\n",
       "      <td>...</td>\n",
       "      <td>1.377110</td>\n",
       "      <td>1.776339</td>\n",
       "      <td>1.512373</td>\n",
       "      <td>0.734478</td>\n",
       "      <td>2.851590</td>\n",
       "      <td>2.754882</td>\n",
       "      <td>1.980983</td>\n",
       "      <td>0.856704</td>\n",
       "      <td>1.625639</td>\n",
       "      <td>1.142944</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Agrawal, Mohan (BUS)</th>\n",
       "      <td>0.776619</td>\n",
       "      <td>0.823161</td>\n",
       "      <td>1.394914</td>\n",
       "      <td>1.614121</td>\n",
       "      <td>0.735263</td>\n",
       "      <td>0.829240</td>\n",
       "      <td>0.732247</td>\n",
       "      <td>0.699723</td>\n",
       "      <td>1.156800</td>\n",
       "      <td>0.636292</td>\n",
       "      <td>...</td>\n",
       "      <td>0.565463</td>\n",
       "      <td>0.484614</td>\n",
       "      <td>0.558864</td>\n",
       "      <td>1.860829</td>\n",
       "      <td>1.396122</td>\n",
       "      <td>1.281641</td>\n",
       "      <td>1.158398</td>\n",
       "      <td>0.876755</td>\n",
       "      <td>0.674620</td>\n",
       "      <td>1.642615</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Agronsky, Steve (MATH)</th>\n",
       "      <td>0.564209</td>\n",
       "      <td>0.484309</td>\n",
       "      <td>1.064166</td>\n",
       "      <td>2.314190</td>\n",
       "      <td>1.462480</td>\n",
       "      <td>1.623046</td>\n",
       "      <td>1.448543</td>\n",
       "      <td>0.973641</td>\n",
       "      <td>1.310504</td>\n",
       "      <td>1.067135</td>\n",
       "      <td>...</td>\n",
       "      <td>1.170735</td>\n",
       "      <td>0.774359</td>\n",
       "      <td>1.065604</td>\n",
       "      <td>2.588807</td>\n",
       "      <td>0.726621</td>\n",
       "      <td>0.701868</td>\n",
       "      <td>1.027191</td>\n",
       "      <td>1.749031</td>\n",
       "      <td>1.003020</td>\n",
       "      <td>2.318927</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Aguayo-Vazquez, Jennifer (MATH)</th>\n",
       "      <td>0.587342</td>\n",
       "      <td>0.658061</td>\n",
       "      <td>1.247379</td>\n",
       "      <td>2.323178</td>\n",
       "      <td>1.519104</td>\n",
       "      <td>1.736536</td>\n",
       "      <td>1.498518</td>\n",
       "      <td>1.152153</td>\n",
       "      <td>1.105542</td>\n",
       "      <td>1.136393</td>\n",
       "      <td>...</td>\n",
       "      <td>1.210711</td>\n",
       "      <td>0.930358</td>\n",
       "      <td>1.074805</td>\n",
       "      <td>2.528120</td>\n",
       "      <td>1.091996</td>\n",
       "      <td>1.083333</td>\n",
       "      <td>0.786843</td>\n",
       "      <td>1.821433</td>\n",
       "      <td>1.001743</td>\n",
       "      <td>2.357023</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Aguilera, Javier (CHEM)</th>\n",
       "      <td>2.985349</td>\n",
       "      <td>3.106772</td>\n",
       "      <td>3.514031</td>\n",
       "      <td>1.708936</td>\n",
       "      <td>2.057714</td>\n",
       "      <td>2.076839</td>\n",
       "      <td>2.100193</td>\n",
       "      <td>2.821369</td>\n",
       "      <td>2.533817</td>\n",
       "      <td>2.579357</td>\n",
       "      <td>...</td>\n",
       "      <td>2.331013</td>\n",
       "      <td>2.732251</td>\n",
       "      <td>2.459741</td>\n",
       "      <td>1.101928</td>\n",
       "      <td>3.818541</td>\n",
       "      <td>3.712932</td>\n",
       "      <td>2.882868</td>\n",
       "      <td>1.776704</td>\n",
       "      <td>2.557918</td>\n",
       "      <td>1.676085</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Ahern, James (AGB)</th>\n",
       "      <td>2.010182</td>\n",
       "      <td>2.132065</td>\n",
       "      <td>2.603343</td>\n",
       "      <td>1.159911</td>\n",
       "      <td>1.077750</td>\n",
       "      <td>1.143355</td>\n",
       "      <td>1.161290</td>\n",
       "      <td>1.891438</td>\n",
       "      <td>1.627314</td>\n",
       "      <td>1.636692</td>\n",
       "      <td>...</td>\n",
       "      <td>1.376168</td>\n",
       "      <td>1.758157</td>\n",
       "      <td>1.500216</td>\n",
       "      <td>0.468668</td>\n",
       "      <td>2.877168</td>\n",
       "      <td>2.772300</td>\n",
       "      <td>1.952857</td>\n",
       "      <td>0.847445</td>\n",
       "      <td>1.577183</td>\n",
       "      <td>0.931745</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Ahler, Michael (CHEM)</th>\n",
       "      <td>1.784066</td>\n",
       "      <td>1.882186</td>\n",
       "      <td>2.334973</td>\n",
       "      <td>1.014347</td>\n",
       "      <td>0.868640</td>\n",
       "      <td>1.016317</td>\n",
       "      <td>0.830000</td>\n",
       "      <td>1.620185</td>\n",
       "      <td>1.508940</td>\n",
       "      <td>1.385063</td>\n",
       "      <td>...</td>\n",
       "      <td>1.124678</td>\n",
       "      <td>1.525138</td>\n",
       "      <td>1.284783</td>\n",
       "      <td>0.776144</td>\n",
       "      <td>2.598076</td>\n",
       "      <td>2.493984</td>\n",
       "      <td>1.802776</td>\n",
       "      <td>0.608716</td>\n",
       "      <td>1.409929</td>\n",
       "      <td>1.008415</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Ahlgren, William L. (EE)</th>\n",
       "      <td>1.251297</td>\n",
       "      <td>1.356159</td>\n",
       "      <td>1.894296</td>\n",
       "      <td>1.122656</td>\n",
       "      <td>0.357751</td>\n",
       "      <td>0.617883</td>\n",
       "      <td>0.455584</td>\n",
       "      <td>1.168119</td>\n",
       "      <td>1.117736</td>\n",
       "      <td>0.928530</td>\n",
       "      <td>...</td>\n",
       "      <td>0.598072</td>\n",
       "      <td>0.984813</td>\n",
       "      <td>0.755413</td>\n",
       "      <td>1.041767</td>\n",
       "      <td>2.099881</td>\n",
       "      <td>1.979006</td>\n",
       "      <td>1.350124</td>\n",
       "      <td>0.354904</td>\n",
       "      <td>0.883944</td>\n",
       "      <td>0.978889</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Ahmed, Deif (AERO)</th>\n",
       "      <td>0.964412</td>\n",
       "      <td>1.038569</td>\n",
       "      <td>1.585213</td>\n",
       "      <td>1.226418</td>\n",
       "      <td>0.372203</td>\n",
       "      <td>0.722842</td>\n",
       "      <td>0.050000</td>\n",
       "      <td>0.871436</td>\n",
       "      <td>1.030776</td>\n",
       "      <td>0.663325</td>\n",
       "      <td>...</td>\n",
       "      <td>0.395095</td>\n",
       "      <td>0.728591</td>\n",
       "      <td>0.575037</td>\n",
       "      <td>1.392839</td>\n",
       "      <td>1.767597</td>\n",
       "      <td>1.674979</td>\n",
       "      <td>1.176605</td>\n",
       "      <td>0.531540</td>\n",
       "      <td>0.726017</td>\n",
       "      <td>1.250000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Ajaib, Muhammad Adeel (PHYS)</th>\n",
       "      <td>0.691210</td>\n",
       "      <td>0.728409</td>\n",
       "      <td>1.421126</td>\n",
       "      <td>1.564097</td>\n",
       "      <td>0.694913</td>\n",
       "      <td>0.922171</td>\n",
       "      <td>0.675574</td>\n",
       "      <td>0.847054</td>\n",
       "      <td>0.945727</td>\n",
       "      <td>0.693470</td>\n",
       "      <td>...</td>\n",
       "      <td>0.482079</td>\n",
       "      <td>0.593193</td>\n",
       "      <td>0.403252</td>\n",
       "      <td>1.686683</td>\n",
       "      <td>1.530523</td>\n",
       "      <td>1.453429</td>\n",
       "      <td>0.970824</td>\n",
       "      <td>0.949251</td>\n",
       "      <td>0.596154</td>\n",
       "      <td>1.460959</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Alaniz, Ryan (SOC)</th>\n",
       "      <td>0.462179</td>\n",
       "      <td>0.436008</td>\n",
       "      <td>1.048270</td>\n",
       "      <td>1.967281</td>\n",
       "      <td>1.045853</td>\n",
       "      <td>1.131039</td>\n",
       "      <td>1.074335</td>\n",
       "      <td>0.756990</td>\n",
       "      <td>1.204853</td>\n",
       "      <td>0.798361</td>\n",
       "      <td>...</td>\n",
       "      <td>0.835329</td>\n",
       "      <td>0.501409</td>\n",
       "      <td>0.757859</td>\n",
       "      <td>2.175779</td>\n",
       "      <td>1.072690</td>\n",
       "      <td>1.017387</td>\n",
       "      <td>1.045356</td>\n",
       "      <td>1.358208</td>\n",
       "      <td>0.688810</td>\n",
       "      <td>1.807029</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Alexander, Benjamin (BUS)</th>\n",
       "      <td>1.084672</td>\n",
       "      <td>1.251369</td>\n",
       "      <td>1.838550</td>\n",
       "      <td>1.247664</td>\n",
       "      <td>0.532340</td>\n",
       "      <td>0.822760</td>\n",
       "      <td>0.576426</td>\n",
       "      <td>1.141884</td>\n",
       "      <td>0.764809</td>\n",
       "      <td>0.847801</td>\n",
       "      <td>...</td>\n",
       "      <td>0.553775</td>\n",
       "      <td>0.920561</td>\n",
       "      <td>0.629936</td>\n",
       "      <td>1.119568</td>\n",
       "      <td>2.022103</td>\n",
       "      <td>1.945847</td>\n",
       "      <td>1.030647</td>\n",
       "      <td>0.609057</td>\n",
       "      <td>0.712975</td>\n",
       "      <td>1.210344</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Alexander, Charlotte (JOUR)</th>\n",
       "      <td>2.480502</td>\n",
       "      <td>2.539844</td>\n",
       "      <td>2.968518</td>\n",
       "      <td>1.564896</td>\n",
       "      <td>1.618833</td>\n",
       "      <td>1.735771</td>\n",
       "      <td>1.664001</td>\n",
       "      <td>2.318405</td>\n",
       "      <td>2.157985</td>\n",
       "      <td>2.109123</td>\n",
       "      <td>...</td>\n",
       "      <td>1.839810</td>\n",
       "      <td>2.129799</td>\n",
       "      <td>2.022540</td>\n",
       "      <td>1.237901</td>\n",
       "      <td>3.082207</td>\n",
       "      <td>2.918325</td>\n",
       "      <td>2.449490</td>\n",
       "      <td>1.327670</td>\n",
       "      <td>2.123182</td>\n",
       "      <td>1.548192</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Alexander, Dekhtyar (CSC)</th>\n",
       "      <td>1.594515</td>\n",
       "      <td>1.637113</td>\n",
       "      <td>2.146959</td>\n",
       "      <td>1.161995</td>\n",
       "      <td>0.803677</td>\n",
       "      <td>1.009075</td>\n",
       "      <td>0.783730</td>\n",
       "      <td>1.465719</td>\n",
       "      <td>1.422053</td>\n",
       "      <td>1.254485</td>\n",
       "      <td>...</td>\n",
       "      <td>0.989731</td>\n",
       "      <td>1.306412</td>\n",
       "      <td>1.166191</td>\n",
       "      <td>1.103510</td>\n",
       "      <td>2.310844</td>\n",
       "      <td>2.184226</td>\n",
       "      <td>1.665333</td>\n",
       "      <td>0.619618</td>\n",
       "      <td>1.284225</td>\n",
       "      <td>1.167148</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Algert, Susan (FSN)</th>\n",
       "      <td>0.941141</td>\n",
       "      <td>1.147680</td>\n",
       "      <td>1.797804</td>\n",
       "      <td>1.639787</td>\n",
       "      <td>0.955858</td>\n",
       "      <td>1.254153</td>\n",
       "      <td>1.014347</td>\n",
       "      <td>1.274755</td>\n",
       "      <td>0.130000</td>\n",
       "      <td>0.978979</td>\n",
       "      <td>...</td>\n",
       "      <td>0.851411</td>\n",
       "      <td>0.951864</td>\n",
       "      <td>0.777175</td>\n",
       "      <td>1.497465</td>\n",
       "      <td>1.936492</td>\n",
       "      <td>1.860096</td>\n",
       "      <td>0.500000</td>\n",
       "      <td>1.141744</td>\n",
       "      <td>0.669253</td>\n",
       "      <td>1.660392</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Allebe, Adrienne (ART)</th>\n",
       "      <td>1.093284</td>\n",
       "      <td>1.167315</td>\n",
       "      <td>1.652907</td>\n",
       "      <td>1.479493</td>\n",
       "      <td>0.794391</td>\n",
       "      <td>1.035809</td>\n",
       "      <td>0.727255</td>\n",
       "      <td>0.935414</td>\n",
       "      <td>1.231625</td>\n",
       "      <td>0.811419</td>\n",
       "      <td>...</td>\n",
       "      <td>0.724500</td>\n",
       "      <td>0.907034</td>\n",
       "      <td>0.877877</td>\n",
       "      <td>1.656019</td>\n",
       "      <td>1.802776</td>\n",
       "      <td>1.620686</td>\n",
       "      <td>1.322876</td>\n",
       "      <td>0.920357</td>\n",
       "      <td>0.973602</td>\n",
       "      <td>1.502298</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Allen, Regulus (ENGL)</th>\n",
       "      <td>1.350302</td>\n",
       "      <td>1.471164</td>\n",
       "      <td>1.959738</td>\n",
       "      <td>1.131271</td>\n",
       "      <td>0.523032</td>\n",
       "      <td>0.563562</td>\n",
       "      <td>0.553329</td>\n",
       "      <td>1.176770</td>\n",
       "      <td>1.267349</td>\n",
       "      <td>0.904411</td>\n",
       "      <td>...</td>\n",
       "      <td>0.733136</td>\n",
       "      <td>1.082521</td>\n",
       "      <td>0.855491</td>\n",
       "      <td>1.086654</td>\n",
       "      <td>2.182676</td>\n",
       "      <td>2.085481</td>\n",
       "      <td>1.491333</td>\n",
       "      <td>0.320980</td>\n",
       "      <td>0.984118</td>\n",
       "      <td>1.010178</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Allen, Teresa (JOUR)</th>\n",
       "      <td>0.354178</td>\n",
       "      <td>0.434603</td>\n",
       "      <td>0.957131</td>\n",
       "      <td>2.083867</td>\n",
       "      <td>1.230212</td>\n",
       "      <td>1.412834</td>\n",
       "      <td>1.211652</td>\n",
       "      <td>0.728972</td>\n",
       "      <td>1.050762</td>\n",
       "      <td>0.854166</td>\n",
       "      <td>...</td>\n",
       "      <td>0.960469</td>\n",
       "      <td>0.647594</td>\n",
       "      <td>0.831813</td>\n",
       "      <td>2.323274</td>\n",
       "      <td>1.056598</td>\n",
       "      <td>1.023306</td>\n",
       "      <td>0.810185</td>\n",
       "      <td>1.504670</td>\n",
       "      <td>0.759934</td>\n",
       "      <td>2.117569</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>York, Jonathan (BUS)</th>\n",
       "      <td>0.851405</td>\n",
       "      <td>0.822572</td>\n",
       "      <td>1.291549</td>\n",
       "      <td>1.959821</td>\n",
       "      <td>1.189561</td>\n",
       "      <td>1.393162</td>\n",
       "      <td>1.121116</td>\n",
       "      <td>0.956556</td>\n",
       "      <td>1.350889</td>\n",
       "      <td>0.977957</td>\n",
       "      <td>...</td>\n",
       "      <td>0.903825</td>\n",
       "      <td>0.817748</td>\n",
       "      <td>0.997330</td>\n",
       "      <td>2.253974</td>\n",
       "      <td>1.067708</td>\n",
       "      <td>1.088404</td>\n",
       "      <td>1.240967</td>\n",
       "      <td>1.432151</td>\n",
       "      <td>1.029514</td>\n",
       "      <td>1.991206</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Yoshimura, Michael (BIO)</th>\n",
       "      <td>0.552012</td>\n",
       "      <td>0.687923</td>\n",
       "      <td>1.430229</td>\n",
       "      <td>1.758737</td>\n",
       "      <td>0.915700</td>\n",
       "      <td>1.232053</td>\n",
       "      <td>0.944434</td>\n",
       "      <td>0.968842</td>\n",
       "      <td>0.548290</td>\n",
       "      <td>0.765368</td>\n",
       "      <td>...</td>\n",
       "      <td>0.676626</td>\n",
       "      <td>0.502494</td>\n",
       "      <td>0.627757</td>\n",
       "      <td>1.838964</td>\n",
       "      <td>1.382144</td>\n",
       "      <td>1.267899</td>\n",
       "      <td>0.479919</td>\n",
       "      <td>1.165537</td>\n",
       "      <td>0.532437</td>\n",
       "      <td>1.787164</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Yoshinobu, Stan Taira (MATH)</th>\n",
       "      <td>0.535739</td>\n",
       "      <td>0.578048</td>\n",
       "      <td>1.159928</td>\n",
       "      <td>2.163847</td>\n",
       "      <td>1.324370</td>\n",
       "      <td>1.453582</td>\n",
       "      <td>1.304697</td>\n",
       "      <td>0.889757</td>\n",
       "      <td>1.193133</td>\n",
       "      <td>0.930090</td>\n",
       "      <td>...</td>\n",
       "      <td>1.057466</td>\n",
       "      <td>0.735935</td>\n",
       "      <td>0.923921</td>\n",
       "      <td>2.425366</td>\n",
       "      <td>1.040833</td>\n",
       "      <td>1.016508</td>\n",
       "      <td>0.957427</td>\n",
       "      <td>1.594042</td>\n",
       "      <td>0.860949</td>\n",
       "      <td>2.197779</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Yost, Jenn (BIO)</th>\n",
       "      <td>0.808984</td>\n",
       "      <td>0.716460</td>\n",
       "      <td>0.977670</td>\n",
       "      <td>2.507101</td>\n",
       "      <td>1.699798</td>\n",
       "      <td>1.866902</td>\n",
       "      <td>1.650683</td>\n",
       "      <td>1.101218</td>\n",
       "      <td>1.578484</td>\n",
       "      <td>1.219354</td>\n",
       "      <td>...</td>\n",
       "      <td>1.417083</td>\n",
       "      <td>1.053056</td>\n",
       "      <td>1.333764</td>\n",
       "      <td>2.834778</td>\n",
       "      <td>0.751548</td>\n",
       "      <td>0.772380</td>\n",
       "      <td>1.288065</td>\n",
       "      <td>1.987632</td>\n",
       "      <td>1.289289</td>\n",
       "      <td>2.529293</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Young, Arthur (BUS)</th>\n",
       "      <td>0.940931</td>\n",
       "      <td>0.807981</td>\n",
       "      <td>1.170470</td>\n",
       "      <td>2.509502</td>\n",
       "      <td>1.681112</td>\n",
       "      <td>1.789525</td>\n",
       "      <td>1.666253</td>\n",
       "      <td>1.217826</td>\n",
       "      <td>1.708333</td>\n",
       "      <td>1.294952</td>\n",
       "      <td>...</td>\n",
       "      <td>1.440694</td>\n",
       "      <td>1.053697</td>\n",
       "      <td>1.383502</td>\n",
       "      <td>2.798732</td>\n",
       "      <td>0.766877</td>\n",
       "      <td>0.754844</td>\n",
       "      <td>1.451930</td>\n",
       "      <td>1.985022</td>\n",
       "      <td>1.324613</td>\n",
       "      <td>2.382939</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Yu, Mei (EE)</th>\n",
       "      <td>0.933878</td>\n",
       "      <td>1.133252</td>\n",
       "      <td>1.773161</td>\n",
       "      <td>1.487582</td>\n",
       "      <td>0.783479</td>\n",
       "      <td>1.099500</td>\n",
       "      <td>0.827587</td>\n",
       "      <td>1.189538</td>\n",
       "      <td>0.364555</td>\n",
       "      <td>0.885664</td>\n",
       "      <td>...</td>\n",
       "      <td>0.684763</td>\n",
       "      <td>0.887719</td>\n",
       "      <td>0.648760</td>\n",
       "      <td>1.366894</td>\n",
       "      <td>1.933908</td>\n",
       "      <td>1.850934</td>\n",
       "      <td>0.663325</td>\n",
       "      <td>0.953399</td>\n",
       "      <td>0.626019</td>\n",
       "      <td>1.507614</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Yu, Xiao-Hua (EE)</th>\n",
       "      <td>1.064109</td>\n",
       "      <td>1.223581</td>\n",
       "      <td>1.825576</td>\n",
       "      <td>1.259653</td>\n",
       "      <td>0.520025</td>\n",
       "      <td>0.864001</td>\n",
       "      <td>0.579592</td>\n",
       "      <td>1.145300</td>\n",
       "      <td>0.714091</td>\n",
       "      <td>0.846082</td>\n",
       "      <td>...</td>\n",
       "      <td>0.556146</td>\n",
       "      <td>0.891149</td>\n",
       "      <td>0.623054</td>\n",
       "      <td>1.156039</td>\n",
       "      <td>2.005243</td>\n",
       "      <td>1.905976</td>\n",
       "      <td>0.986117</td>\n",
       "      <td>0.612340</td>\n",
       "      <td>0.701436</td>\n",
       "      <td>1.276686</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Yun, David (NRM)</th>\n",
       "      <td>0.454118</td>\n",
       "      <td>0.504423</td>\n",
       "      <td>1.253834</td>\n",
       "      <td>1.723050</td>\n",
       "      <td>0.734086</td>\n",
       "      <td>0.944934</td>\n",
       "      <td>0.805543</td>\n",
       "      <td>0.689202</td>\n",
       "      <td>0.967936</td>\n",
       "      <td>0.606960</td>\n",
       "      <td>...</td>\n",
       "      <td>0.552178</td>\n",
       "      <td>0.250422</td>\n",
       "      <td>0.513811</td>\n",
       "      <td>1.900631</td>\n",
       "      <td>1.224745</td>\n",
       "      <td>1.123961</td>\n",
       "      <td>0.894427</td>\n",
       "      <td>1.052168</td>\n",
       "      <td>0.477389</td>\n",
       "      <td>1.636123</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Zacarias, Hilda (BUS)</th>\n",
       "      <td>1.488942</td>\n",
       "      <td>1.673909</td>\n",
       "      <td>2.250000</td>\n",
       "      <td>1.426920</td>\n",
       "      <td>1.026872</td>\n",
       "      <td>1.279414</td>\n",
       "      <td>1.104943</td>\n",
       "      <td>1.635420</td>\n",
       "      <td>0.770000</td>\n",
       "      <td>1.313925</td>\n",
       "      <td>...</td>\n",
       "      <td>1.106391</td>\n",
       "      <td>1.380016</td>\n",
       "      <td>1.121071</td>\n",
       "      <td>0.981020</td>\n",
       "      <td>2.465684</td>\n",
       "      <td>2.374017</td>\n",
       "      <td>1.140000</td>\n",
       "      <td>1.029747</td>\n",
       "      <td>1.096859</td>\n",
       "      <td>1.432794</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Zahn, Jan (ENGL)</th>\n",
       "      <td>0.572438</td>\n",
       "      <td>0.507256</td>\n",
       "      <td>1.116293</td>\n",
       "      <td>2.323297</td>\n",
       "      <td>1.488717</td>\n",
       "      <td>1.686173</td>\n",
       "      <td>1.463049</td>\n",
       "      <td>1.036120</td>\n",
       "      <td>1.252668</td>\n",
       "      <td>1.086743</td>\n",
       "      <td>...</td>\n",
       "      <td>1.185627</td>\n",
       "      <td>0.812233</td>\n",
       "      <td>1.093739</td>\n",
       "      <td>2.592363</td>\n",
       "      <td>0.755123</td>\n",
       "      <td>0.736742</td>\n",
       "      <td>0.952301</td>\n",
       "      <td>1.781228</td>\n",
       "      <td>1.018026</td>\n",
       "      <td>2.358498</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Zahra, Alghoul (CHEM)</th>\n",
       "      <td>0.538301</td>\n",
       "      <td>0.592513</td>\n",
       "      <td>1.228201</td>\n",
       "      <td>1.888089</td>\n",
       "      <td>1.022644</td>\n",
       "      <td>1.185057</td>\n",
       "      <td>1.010188</td>\n",
       "      <td>0.673849</td>\n",
       "      <td>1.119615</td>\n",
       "      <td>0.681635</td>\n",
       "      <td>...</td>\n",
       "      <td>0.808519</td>\n",
       "      <td>0.581151</td>\n",
       "      <td>0.764047</td>\n",
       "      <td>2.088831</td>\n",
       "      <td>1.202063</td>\n",
       "      <td>1.138465</td>\n",
       "      <td>0.995408</td>\n",
       "      <td>1.299760</td>\n",
       "      <td>0.725499</td>\n",
       "      <td>1.793290</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Zambrano, Eduardo (ECON)</th>\n",
       "      <td>0.592420</td>\n",
       "      <td>0.581520</td>\n",
       "      <td>1.203947</td>\n",
       "      <td>1.628585</td>\n",
       "      <td>0.780326</td>\n",
       "      <td>1.016016</td>\n",
       "      <td>0.751635</td>\n",
       "      <td>0.625611</td>\n",
       "      <td>1.056546</td>\n",
       "      <td>0.624064</td>\n",
       "      <td>...</td>\n",
       "      <td>0.558231</td>\n",
       "      <td>0.333483</td>\n",
       "      <td>0.594217</td>\n",
       "      <td>1.931352</td>\n",
       "      <td>1.204044</td>\n",
       "      <td>1.075438</td>\n",
       "      <td>1.008161</td>\n",
       "      <td>1.000353</td>\n",
       "      <td>0.649068</td>\n",
       "      <td>1.709665</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Zammit, Ronald (PHYS)</th>\n",
       "      <td>0.345385</td>\n",
       "      <td>0.548057</td>\n",
       "      <td>1.290807</td>\n",
       "      <td>1.686266</td>\n",
       "      <td>0.783997</td>\n",
       "      <td>1.058644</td>\n",
       "      <td>0.793153</td>\n",
       "      <td>0.755965</td>\n",
       "      <td>0.604228</td>\n",
       "      <td>0.586710</td>\n",
       "      <td>...</td>\n",
       "      <td>0.500764</td>\n",
       "      <td>0.398565</td>\n",
       "      <td>0.405486</td>\n",
       "      <td>1.793790</td>\n",
       "      <td>1.345744</td>\n",
       "      <td>1.302897</td>\n",
       "      <td>0.536089</td>\n",
       "      <td>1.072308</td>\n",
       "      <td>0.332129</td>\n",
       "      <td>1.662310</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Zarowitz, Michael (BIO)</th>\n",
       "      <td>0.355627</td>\n",
       "      <td>0.412495</td>\n",
       "      <td>0.968246</td>\n",
       "      <td>1.805852</td>\n",
       "      <td>0.921428</td>\n",
       "      <td>1.156244</td>\n",
       "      <td>0.892132</td>\n",
       "      <td>0.758024</td>\n",
       "      <td>0.958071</td>\n",
       "      <td>0.690217</td>\n",
       "      <td>...</td>\n",
       "      <td>0.631744</td>\n",
       "      <td>0.418662</td>\n",
       "      <td>0.613389</td>\n",
       "      <td>2.009328</td>\n",
       "      <td>1.108873</td>\n",
       "      <td>1.081337</td>\n",
       "      <td>0.836421</td>\n",
       "      <td>1.205309</td>\n",
       "      <td>0.604649</td>\n",
       "      <td>1.768587</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Zatzick, Chris (BUS)</th>\n",
       "      <td>0.771990</td>\n",
       "      <td>0.794587</td>\n",
       "      <td>1.332837</td>\n",
       "      <td>1.927811</td>\n",
       "      <td>1.015716</td>\n",
       "      <td>0.940030</td>\n",
       "      <td>1.100752</td>\n",
       "      <td>0.885149</td>\n",
       "      <td>1.347463</td>\n",
       "      <td>0.912043</td>\n",
       "      <td>...</td>\n",
       "      <td>0.894682</td>\n",
       "      <td>0.670124</td>\n",
       "      <td>0.834462</td>\n",
       "      <td>2.056815</td>\n",
       "      <td>1.339834</td>\n",
       "      <td>1.287910</td>\n",
       "      <td>1.255052</td>\n",
       "      <td>1.310967</td>\n",
       "      <td>0.753296</td>\n",
       "      <td>1.581873</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Zeng, Wei (MATH)</th>\n",
       "      <td>0.996384</td>\n",
       "      <td>1.146075</td>\n",
       "      <td>1.771553</td>\n",
       "      <td>1.391258</td>\n",
       "      <td>0.533112</td>\n",
       "      <td>0.714143</td>\n",
       "      <td>0.707107</td>\n",
       "      <td>1.150609</td>\n",
       "      <td>0.768115</td>\n",
       "      <td>0.884590</td>\n",
       "      <td>...</td>\n",
       "      <td>0.614492</td>\n",
       "      <td>0.821388</td>\n",
       "      <td>0.647861</td>\n",
       "      <td>1.150000</td>\n",
       "      <td>1.946510</td>\n",
       "      <td>1.859585</td>\n",
       "      <td>0.974115</td>\n",
       "      <td>0.784602</td>\n",
       "      <td>0.564447</td>\n",
       "      <td>0.994987</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Zetzsche, James (BRAE)</th>\n",
       "      <td>0.847970</td>\n",
       "      <td>0.731889</td>\n",
       "      <td>1.292732</td>\n",
       "      <td>2.028683</td>\n",
       "      <td>1.177081</td>\n",
       "      <td>1.343064</td>\n",
       "      <td>1.199648</td>\n",
       "      <td>1.001726</td>\n",
       "      <td>1.401840</td>\n",
       "      <td>1.037138</td>\n",
       "      <td>...</td>\n",
       "      <td>0.982627</td>\n",
       "      <td>0.633763</td>\n",
       "      <td>1.025890</td>\n",
       "      <td>2.256174</td>\n",
       "      <td>0.960098</td>\n",
       "      <td>0.770923</td>\n",
       "      <td>1.276110</td>\n",
       "      <td>1.426371</td>\n",
       "      <td>1.006920</td>\n",
       "      <td>1.891689</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Zeuschner, Raymond (COMS)</th>\n",
       "      <td>0.680710</td>\n",
       "      <td>0.635561</td>\n",
       "      <td>1.262665</td>\n",
       "      <td>1.729486</td>\n",
       "      <td>0.869084</td>\n",
       "      <td>1.071660</td>\n",
       "      <td>0.819220</td>\n",
       "      <td>0.716860</td>\n",
       "      <td>1.165814</td>\n",
       "      <td>0.695669</td>\n",
       "      <td>...</td>\n",
       "      <td>0.653546</td>\n",
       "      <td>0.442769</td>\n",
       "      <td>0.691965</td>\n",
       "      <td>2.008637</td>\n",
       "      <td>1.178511</td>\n",
       "      <td>1.052489</td>\n",
       "      <td>1.105542</td>\n",
       "      <td>1.074879</td>\n",
       "      <td>0.752854</td>\n",
       "      <td>1.760432</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Zhang, Jane (EE)</th>\n",
       "      <td>1.273590</td>\n",
       "      <td>1.332219</td>\n",
       "      <td>1.867646</td>\n",
       "      <td>1.334504</td>\n",
       "      <td>0.648956</td>\n",
       "      <td>0.707743</td>\n",
       "      <td>0.718958</td>\n",
       "      <td>1.230853</td>\n",
       "      <td>1.298037</td>\n",
       "      <td>1.056598</td>\n",
       "      <td>...</td>\n",
       "      <td>0.746257</td>\n",
       "      <td>1.051369</td>\n",
       "      <td>0.800834</td>\n",
       "      <td>1.241129</td>\n",
       "      <td>2.059126</td>\n",
       "      <td>1.969253</td>\n",
       "      <td>1.462874</td>\n",
       "      <td>0.737631</td>\n",
       "      <td>0.974628</td>\n",
       "      <td>0.908240</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Zhang, Jinsong (CHEM)</th>\n",
       "      <td>1.308774</td>\n",
       "      <td>1.397364</td>\n",
       "      <td>1.895284</td>\n",
       "      <td>1.053043</td>\n",
       "      <td>0.463179</td>\n",
       "      <td>0.743572</td>\n",
       "      <td>0.330000</td>\n",
       "      <td>1.172604</td>\n",
       "      <td>1.181905</td>\n",
       "      <td>0.942550</td>\n",
       "      <td>...</td>\n",
       "      <td>0.667008</td>\n",
       "      <td>1.056430</td>\n",
       "      <td>0.843011</td>\n",
       "      <td>1.082774</td>\n",
       "      <td>2.121320</td>\n",
       "      <td>2.022364</td>\n",
       "      <td>1.414214</td>\n",
       "      <td>0.361296</td>\n",
       "      <td>0.983819</td>\n",
       "      <td>1.066255</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Zhang, Ning (POLS)</th>\n",
       "      <td>0.733770</td>\n",
       "      <td>0.840410</td>\n",
       "      <td>1.483779</td>\n",
       "      <td>1.389244</td>\n",
       "      <td>0.425451</td>\n",
       "      <td>0.731847</td>\n",
       "      <td>0.421426</td>\n",
       "      <td>0.793662</td>\n",
       "      <td>0.850647</td>\n",
       "      <td>0.569298</td>\n",
       "      <td>...</td>\n",
       "      <td>inf</td>\n",
       "      <td>0.482919</td>\n",
       "      <td>0.319846</td>\n",
       "      <td>1.500700</td>\n",
       "      <td>1.570000</td>\n",
       "      <td>1.480424</td>\n",
       "      <td>0.951262</td>\n",
       "      <td>0.669107</td>\n",
       "      <td>0.484768</td>\n",
       "      <td>1.342982</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Zhang, Shanju (CHEM)</th>\n",
       "      <td>0.448129</td>\n",
       "      <td>0.532680</td>\n",
       "      <td>1.271591</td>\n",
       "      <td>1.690723</td>\n",
       "      <td>0.736135</td>\n",
       "      <td>0.945522</td>\n",
       "      <td>0.768989</td>\n",
       "      <td>0.698363</td>\n",
       "      <td>0.896295</td>\n",
       "      <td>0.522983</td>\n",
       "      <td>...</td>\n",
       "      <td>0.482919</td>\n",
       "      <td>inf</td>\n",
       "      <td>0.473429</td>\n",
       "      <td>1.856388</td>\n",
       "      <td>1.235332</td>\n",
       "      <td>1.098868</td>\n",
       "      <td>0.834293</td>\n",
       "      <td>1.016806</td>\n",
       "      <td>0.434601</td>\n",
       "      <td>1.621731</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Zhang, Xiaozheng (EE)</th>\n",
       "      <td>0.599171</td>\n",
       "      <td>0.756088</td>\n",
       "      <td>1.442556</td>\n",
       "      <td>1.508300</td>\n",
       "      <td>0.575991</td>\n",
       "      <td>0.782838</td>\n",
       "      <td>0.603463</td>\n",
       "      <td>0.771075</td>\n",
       "      <td>0.755977</td>\n",
       "      <td>0.548129</td>\n",
       "      <td>...</td>\n",
       "      <td>0.319846</td>\n",
       "      <td>0.473429</td>\n",
       "      <td>inf</td>\n",
       "      <td>1.603192</td>\n",
       "      <td>1.565461</td>\n",
       "      <td>1.485336</td>\n",
       "      <td>0.814863</td>\n",
       "      <td>0.819407</td>\n",
       "      <td>0.340541</td>\n",
       "      <td>1.461487</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Zinn, Jesse (ECON)</th>\n",
       "      <td>2.088607</td>\n",
       "      <td>2.226879</td>\n",
       "      <td>2.721195</td>\n",
       "      <td>1.319129</td>\n",
       "      <td>1.230735</td>\n",
       "      <td>1.265899</td>\n",
       "      <td>1.350000</td>\n",
       "      <td>2.046314</td>\n",
       "      <td>1.613227</td>\n",
       "      <td>1.772005</td>\n",
       "      <td>...</td>\n",
       "      <td>1.500700</td>\n",
       "      <td>1.856388</td>\n",
       "      <td>1.603192</td>\n",
       "      <td>inf</td>\n",
       "      <td>2.992056</td>\n",
       "      <td>2.888868</td>\n",
       "      <td>1.952537</td>\n",
       "      <td>1.075221</td>\n",
       "      <td>1.628834</td>\n",
       "      <td>0.838153</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Zohns, Mark (BRAE)</th>\n",
       "      <td>1.154508</td>\n",
       "      <td>1.000857</td>\n",
       "      <td>1.285340</td>\n",
       "      <td>2.632280</td>\n",
       "      <td>1.862143</td>\n",
       "      <td>2.032954</td>\n",
       "      <td>1.813532</td>\n",
       "      <td>1.369306</td>\n",
       "      <td>1.837634</td>\n",
       "      <td>1.506121</td>\n",
       "      <td>...</td>\n",
       "      <td>1.570000</td>\n",
       "      <td>1.235332</td>\n",
       "      <td>1.565461</td>\n",
       "      <td>2.992056</td>\n",
       "      <td>inf</td>\n",
       "      <td>0.635050</td>\n",
       "      <td>1.581139</td>\n",
       "      <td>2.110247</td>\n",
       "      <td>1.545283</td>\n",
       "      <td>2.667752</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Zohns, Michael (EHS)</th>\n",
       "      <td>1.102563</td>\n",
       "      <td>0.939664</td>\n",
       "      <td>1.276110</td>\n",
       "      <td>2.537648</td>\n",
       "      <td>1.751903</td>\n",
       "      <td>1.943722</td>\n",
       "      <td>1.719900</td>\n",
       "      <td>1.305739</td>\n",
       "      <td>1.765802</td>\n",
       "      <td>1.430229</td>\n",
       "      <td>...</td>\n",
       "      <td>1.480424</td>\n",
       "      <td>1.098868</td>\n",
       "      <td>1.485336</td>\n",
       "      <td>2.888868</td>\n",
       "      <td>0.635050</td>\n",
       "      <td>inf</td>\n",
       "      <td>1.526419</td>\n",
       "      <td>2.006541</td>\n",
       "      <td>1.470597</td>\n",
       "      <td>2.572558</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Zoller, David (PHIL)</th>\n",
       "      <td>0.644784</td>\n",
       "      <td>0.852743</td>\n",
       "      <td>1.540162</td>\n",
       "      <td>1.941365</td>\n",
       "      <td>1.172035</td>\n",
       "      <td>1.446686</td>\n",
       "      <td>1.203703</td>\n",
       "      <td>1.172604</td>\n",
       "      <td>0.370000</td>\n",
       "      <td>0.963535</td>\n",
       "      <td>...</td>\n",
       "      <td>0.951262</td>\n",
       "      <td>0.834293</td>\n",
       "      <td>0.814863</td>\n",
       "      <td>1.952537</td>\n",
       "      <td>1.581139</td>\n",
       "      <td>1.526419</td>\n",
       "      <td>inf</td>\n",
       "      <td>1.436516</td>\n",
       "      <td>0.654141</td>\n",
       "      <td>1.968985</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Zulfacar, Maliha (SOC)</th>\n",
       "      <td>1.318886</td>\n",
       "      <td>1.419541</td>\n",
       "      <td>1.915171</td>\n",
       "      <td>1.110331</td>\n",
       "      <td>0.425132</td>\n",
       "      <td>0.583274</td>\n",
       "      <td>0.496019</td>\n",
       "      <td>1.134198</td>\n",
       "      <td>1.205437</td>\n",
       "      <td>0.927697</td>\n",
       "      <td>...</td>\n",
       "      <td>0.669107</td>\n",
       "      <td>1.016806</td>\n",
       "      <td>0.819407</td>\n",
       "      <td>1.075221</td>\n",
       "      <td>2.110247</td>\n",
       "      <td>2.006541</td>\n",
       "      <td>1.436516</td>\n",
       "      <td>inf</td>\n",
       "      <td>0.946807</td>\n",
       "      <td>1.042172</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Zumwalt, Marta (CHEM)</th>\n",
       "      <td>0.527428</td>\n",
       "      <td>0.733991</td>\n",
       "      <td>1.442429</td>\n",
       "      <td>1.607794</td>\n",
       "      <td>0.656877</td>\n",
       "      <td>0.816456</td>\n",
       "      <td>0.754056</td>\n",
       "      <td>0.823347</td>\n",
       "      <td>0.628172</td>\n",
       "      <td>0.595903</td>\n",
       "      <td>...</td>\n",
       "      <td>0.484768</td>\n",
       "      <td>0.434601</td>\n",
       "      <td>0.340541</td>\n",
       "      <td>1.628834</td>\n",
       "      <td>1.545283</td>\n",
       "      <td>1.470597</td>\n",
       "      <td>0.654141</td>\n",
       "      <td>0.946807</td>\n",
       "      <td>inf</td>\n",
       "      <td>1.474653</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Zweifel, Dick (ARCH)</th>\n",
       "      <td>1.887356</td>\n",
       "      <td>1.974666</td>\n",
       "      <td>2.433187</td>\n",
       "      <td>1.414779</td>\n",
       "      <td>1.063603</td>\n",
       "      <td>0.927362</td>\n",
       "      <td>1.220656</td>\n",
       "      <td>1.803303</td>\n",
       "      <td>1.732051</td>\n",
       "      <td>1.613227</td>\n",
       "      <td>...</td>\n",
       "      <td>1.342982</td>\n",
       "      <td>1.621731</td>\n",
       "      <td>1.461487</td>\n",
       "      <td>0.838153</td>\n",
       "      <td>2.667752</td>\n",
       "      <td>2.572558</td>\n",
       "      <td>1.968985</td>\n",
       "      <td>1.042172</td>\n",
       "      <td>1.474653</td>\n",
       "      <td>inf</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2468 rows × 2468 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "name_class                       Abel, Christina (CHEM)  \\\n",
       "name_class                                                \n",
       "Abel, Christina (CHEM)                              inf   \n",
       "Aberbromby, Kira (AERO)                        0.304769   \n",
       "Abitia, Fred (IT)                              1.089088   \n",
       "Abler, Fred (ARCH)                             1.904466   \n",
       "Abney, Keith (PHIL)                            1.012525   \n",
       "Abney, Ray (ENGL)                              1.230493   \n",
       "Abshire, Franklin (MATH)                       1.008261   \n",
       "Acosta, Kellie (BIO)                           0.759250   \n",
       "Adam, Sandra (AGB)                             0.845841   \n",
       "Adams, Nikki (BIO)                             0.656828   \n",
       "Adan, Elizabeth (ART)                          0.566397   \n",
       "Agalos, Pete (ASCI)                            0.512285   \n",
       "Agbo, Samuel (EE)                              2.014453   \n",
       "Agrawal, Mohan (BUS)                           0.776619   \n",
       "Agronsky, Steve (MATH)                         0.564209   \n",
       "Aguayo-Vazquez, Jennifer (MATH)                0.587342   \n",
       "Aguilera, Javier (CHEM)                        2.985349   \n",
       "Ahern, James (AGB)                             2.010182   \n",
       "Ahler, Michael (CHEM)                          1.784066   \n",
       "Ahlgren, William L. (EE)                       1.251297   \n",
       "Ahmed, Deif (AERO)                             0.964412   \n",
       "Ajaib, Muhammad Adeel (PHYS)                   0.691210   \n",
       "Alaniz, Ryan (SOC)                             0.462179   \n",
       "Alexander, Benjamin (BUS)                      1.084672   \n",
       "Alexander, Charlotte (JOUR)                    2.480502   \n",
       "Alexander, Dekhtyar (CSC)                      1.594515   \n",
       "Algert, Susan (FSN)                            0.941141   \n",
       "Allebe, Adrienne (ART)                         1.093284   \n",
       "Allen, Regulus (ENGL)                          1.350302   \n",
       "Allen, Teresa (JOUR)                           0.354178   \n",
       "...                                                 ...   \n",
       "York, Jonathan (BUS)                           0.851405   \n",
       "Yoshimura, Michael (BIO)                       0.552012   \n",
       "Yoshinobu, Stan Taira (MATH)                   0.535739   \n",
       "Yost, Jenn (BIO)                               0.808984   \n",
       "Young, Arthur (BUS)                            0.940931   \n",
       "Yu, Mei (EE)                                   0.933878   \n",
       "Yu, Xiao-Hua (EE)                              1.064109   \n",
       "Yun, David (NRM)                               0.454118   \n",
       "Zacarias, Hilda (BUS)                          1.488942   \n",
       "Zahn, Jan (ENGL)                               0.572438   \n",
       "Zahra, Alghoul (CHEM)                          0.538301   \n",
       "Zambrano, Eduardo (ECON)                       0.592420   \n",
       "Zammit, Ronald (PHYS)                          0.345385   \n",
       "Zarowitz, Michael (BIO)                        0.355627   \n",
       "Zatzick, Chris (BUS)                           0.771990   \n",
       "Zeng, Wei (MATH)                               0.996384   \n",
       "Zetzsche, James (BRAE)                         0.847970   \n",
       "Zeuschner, Raymond (COMS)                      0.680710   \n",
       "Zhang, Jane (EE)                               1.273590   \n",
       "Zhang, Jinsong (CHEM)                          1.308774   \n",
       "Zhang, Ning (POLS)                             0.733770   \n",
       "Zhang, Shanju (CHEM)                           0.448129   \n",
       "Zhang, Xiaozheng (EE)                          0.599171   \n",
       "Zinn, Jesse (ECON)                             2.088607   \n",
       "Zohns, Mark (BRAE)                             1.154508   \n",
       "Zohns, Michael (EHS)                           1.102563   \n",
       "Zoller, David (PHIL)                           0.644784   \n",
       "Zulfacar, Maliha (SOC)                         1.318886   \n",
       "Zumwalt, Marta (CHEM)                          0.527428   \n",
       "Zweifel, Dick (ARCH)                           1.887356   \n",
       "\n",
       "name_class                       Aberbromby, Kira (AERO)  Abitia, Fred (IT)  \\\n",
       "name_class                                                                    \n",
       "Abel, Christina (CHEM)                          0.304769           1.089088   \n",
       "Aberbromby, Kira (AERO)                              inf           1.023771   \n",
       "Abitia, Fred (IT)                               1.023771                inf   \n",
       "Abler, Fred (ARCH)                              1.986435           2.400750   \n",
       "Abney, Keith (PHIL)                             1.109890           1.694944   \n",
       "Abney, Ray (ENGL)                               1.340976           1.845102   \n",
       "Abshire, Franklin (MATH)                        1.084954           1.624315   \n",
       "Acosta, Kellie (BIO)                            0.804751           1.321779   \n",
       "Adam, Sandra (AGB)                              1.056253           1.720581   \n",
       "Adams, Nikki (BIO)                              0.800958           1.403175   \n",
       "Adan, Elizabeth (ART)                           0.528966           1.107086   \n",
       "Agalos, Pete (ASCI)                             0.421550           0.995576   \n",
       "Agbo, Samuel (EE)                               2.126174           2.586875   \n",
       "Agrawal, Mohan (BUS)                            0.823161           1.394914   \n",
       "Agronsky, Steve (MATH)                          0.484309           1.064166   \n",
       "Aguayo-Vazquez, Jennifer (MATH)                 0.658061           1.247379   \n",
       "Aguilera, Javier (CHEM)                         3.106772           3.514031   \n",
       "Ahern, James (AGB)                              2.132065           2.603343   \n",
       "Ahler, Michael (CHEM)                           1.882186           2.334973   \n",
       "Ahlgren, William L. (EE)                        1.356159           1.894296   \n",
       "Ahmed, Deif (AERO)                              1.038569           1.585213   \n",
       "Ajaib, Muhammad Adeel (PHYS)                    0.728409           1.421126   \n",
       "Alaniz, Ryan (SOC)                              0.436008           1.048270   \n",
       "Alexander, Benjamin (BUS)                       1.251369           1.838550   \n",
       "Alexander, Charlotte (JOUR)                     2.539844           2.968518   \n",
       "Alexander, Dekhtyar (CSC)                       1.637113           2.146959   \n",
       "Algert, Susan (FSN)                             1.147680           1.797804   \n",
       "Allebe, Adrienne (ART)                          1.167315           1.652907   \n",
       "Allen, Regulus (ENGL)                           1.471164           1.959738   \n",
       "Allen, Teresa (JOUR)                            0.434603           0.957131   \n",
       "...                                                  ...                ...   \n",
       "York, Jonathan (BUS)                            0.822572           1.291549   \n",
       "Yoshimura, Michael (BIO)                        0.687923           1.430229   \n",
       "Yoshinobu, Stan Taira (MATH)                    0.578048           1.159928   \n",
       "Yost, Jenn (BIO)                                0.716460           0.977670   \n",
       "Young, Arthur (BUS)                             0.807981           1.170470   \n",
       "Yu, Mei (EE)                                    1.133252           1.773161   \n",
       "Yu, Xiao-Hua (EE)                               1.223581           1.825576   \n",
       "Yun, David (NRM)                                0.504423           1.253834   \n",
       "Zacarias, Hilda (BUS)                           1.673909           2.250000   \n",
       "Zahn, Jan (ENGL)                                0.507256           1.116293   \n",
       "Zahra, Alghoul (CHEM)                           0.592513           1.228201   \n",
       "Zambrano, Eduardo (ECON)                        0.581520           1.203947   \n",
       "Zammit, Ronald (PHYS)                           0.548057           1.290807   \n",
       "Zarowitz, Michael (BIO)                         0.412495           0.968246   \n",
       "Zatzick, Chris (BUS)                            0.794587           1.332837   \n",
       "Zeng, Wei (MATH)                                1.146075           1.771553   \n",
       "Zetzsche, James (BRAE)                          0.731889           1.292732   \n",
       "Zeuschner, Raymond (COMS)                       0.635561           1.262665   \n",
       "Zhang, Jane (EE)                                1.332219           1.867646   \n",
       "Zhang, Jinsong (CHEM)                           1.397364           1.895284   \n",
       "Zhang, Ning (POLS)                              0.840410           1.483779   \n",
       "Zhang, Shanju (CHEM)                            0.532680           1.271591   \n",
       "Zhang, Xiaozheng (EE)                           0.756088           1.442556   \n",
       "Zinn, Jesse (ECON)                              2.226879           2.721195   \n",
       "Zohns, Mark (BRAE)                              1.000857           1.285340   \n",
       "Zohns, Michael (EHS)                            0.939664           1.276110   \n",
       "Zoller, David (PHIL)                            0.852743           1.540162   \n",
       "Zulfacar, Maliha (SOC)                          1.419541           1.915171   \n",
       "Zumwalt, Marta (CHEM)                           0.733991           1.442429   \n",
       "Zweifel, Dick (ARCH)                            1.974666           2.433187   \n",
       "\n",
       "name_class                       Abler, Fred (ARCH)  Abney, Keith (PHIL)  \\\n",
       "name_class                                                                 \n",
       "Abel, Christina (CHEM)                     1.904466             1.012525   \n",
       "Aberbromby, Kira (AERO)                    1.986435             1.109890   \n",
       "Abitia, Fred (IT)                          2.400750             1.694944   \n",
       "Abler, Fred (ARCH)                              inf             1.194939   \n",
       "Abney, Keith (PHIL)                        1.194939                  inf   \n",
       "Abney, Ray (ENGL)                          1.346700             0.534985   \n",
       "Abshire, Franklin (MATH)                   1.198165             0.363366   \n",
       "Acosta, Kellie (BIO)                       1.773105             0.949125   \n",
       "Adam, Sandra (AGB)                         1.709269             0.992555   \n",
       "Adams, Nikki (BIO)                         1.584961             0.739045   \n",
       "Adan, Elizabeth (ART)                      2.189804             1.324023   \n",
       "Agalos, Pete (ASCI)                        2.021038             1.167513   \n",
       "Agbo, Samuel (EE)                          1.156513             1.089423   \n",
       "Agrawal, Mohan (BUS)                       1.614121             0.735263   \n",
       "Agronsky, Steve (MATH)                     2.314190             1.462480   \n",
       "Aguayo-Vazquez, Jennifer (MATH)            2.323178             1.519104   \n",
       "Aguilera, Javier (CHEM)                    1.708936             2.057714   \n",
       "Ahern, James (AGB)                         1.159911             1.077750   \n",
       "Ahler, Michael (CHEM)                      1.014347             0.868640   \n",
       "Ahlgren, William L. (EE)                   1.122656             0.357751   \n",
       "Ahmed, Deif (AERO)                         1.226418             0.372203   \n",
       "Ajaib, Muhammad Adeel (PHYS)               1.564097             0.694913   \n",
       "Alaniz, Ryan (SOC)                         1.967281             1.045853   \n",
       "Alexander, Benjamin (BUS)                  1.247664             0.532340   \n",
       "Alexander, Charlotte (JOUR)                1.564896             1.618833   \n",
       "Alexander, Dekhtyar (CSC)                  1.161995             0.803677   \n",
       "Algert, Susan (FSN)                        1.639787             0.955858   \n",
       "Allebe, Adrienne (ART)                     1.479493             0.794391   \n",
       "Allen, Regulus (ENGL)                      1.131271             0.523032   \n",
       "Allen, Teresa (JOUR)                       2.083867             1.230212   \n",
       "...                                             ...                  ...   \n",
       "York, Jonathan (BUS)                       1.959821             1.189561   \n",
       "Yoshimura, Michael (BIO)                   1.758737             0.915700   \n",
       "Yoshinobu, Stan Taira (MATH)               2.163847             1.324370   \n",
       "Yost, Jenn (BIO)                           2.507101             1.699798   \n",
       "Young, Arthur (BUS)                        2.509502             1.681112   \n",
       "Yu, Mei (EE)                               1.487582             0.783479   \n",
       "Yu, Xiao-Hua (EE)                          1.259653             0.520025   \n",
       "Yun, David (NRM)                           1.723050             0.734086   \n",
       "Zacarias, Hilda (BUS)                      1.426920             1.026872   \n",
       "Zahn, Jan (ENGL)                           2.323297             1.488717   \n",
       "Zahra, Alghoul (CHEM)                      1.888089             1.022644   \n",
       "Zambrano, Eduardo (ECON)                   1.628585             0.780326   \n",
       "Zammit, Ronald (PHYS)                      1.686266             0.783997   \n",
       "Zarowitz, Michael (BIO)                    1.805852             0.921428   \n",
       "Zatzick, Chris (BUS)                       1.927811             1.015716   \n",
       "Zeng, Wei (MATH)                           1.391258             0.533112   \n",
       "Zetzsche, James (BRAE)                     2.028683             1.177081   \n",
       "Zeuschner, Raymond (COMS)                  1.729486             0.869084   \n",
       "Zhang, Jane (EE)                           1.334504             0.648956   \n",
       "Zhang, Jinsong (CHEM)                      1.053043             0.463179   \n",
       "Zhang, Ning (POLS)                         1.389244             0.425451   \n",
       "Zhang, Shanju (CHEM)                       1.690723             0.736135   \n",
       "Zhang, Xiaozheng (EE)                      1.508300             0.575991   \n",
       "Zinn, Jesse (ECON)                         1.319129             1.230735   \n",
       "Zohns, Mark (BRAE)                         2.632280             1.862143   \n",
       "Zohns, Michael (EHS)                       2.537648             1.751903   \n",
       "Zoller, David (PHIL)                       1.941365             1.172035   \n",
       "Zulfacar, Maliha (SOC)                     1.110331             0.425132   \n",
       "Zumwalt, Marta (CHEM)                      1.607794             0.656877   \n",
       "Zweifel, Dick (ARCH)                       1.414779             1.063603   \n",
       "\n",
       "name_class                       Abney, Ray (ENGL)  Abshire, Franklin (MATH)  \\\n",
       "name_class                                                                     \n",
       "Abel, Christina (CHEM)                    1.230493                  1.008261   \n",
       "Aberbromby, Kira (AERO)                   1.340976                  1.084954   \n",
       "Abitia, Fred (IT)                         1.845102                  1.624315   \n",
       "Abler, Fred (ARCH)                        1.346700                  1.198165   \n",
       "Abney, Keith (PHIL)                       0.534985                  0.363366   \n",
       "Abney, Ray (ENGL)                              inf                  0.714143   \n",
       "Abshire, Franklin (MATH)                  0.714143                       inf   \n",
       "Acosta, Kellie (BIO)                      1.103585                  0.907689   \n",
       "Adam, Sandra (AGB)                        1.288410                  1.044031   \n",
       "Adams, Nikki (BIO)                        0.939415                  0.694622   \n",
       "Adan, Elizabeth (ART)                     1.458905                  1.317589   \n",
       "Agalos, Pete (ASCI)                       1.368168                  1.123830   \n",
       "Agbo, Samuel (EE)                         1.232644                  1.146439   \n",
       "Agrawal, Mohan (BUS)                      0.829240                  0.732247   \n",
       "Agronsky, Steve (MATH)                    1.623046                  1.448543   \n",
       "Aguayo-Vazquez, Jennifer (MATH)           1.736536                  1.498518   \n",
       "Aguilera, Javier (CHEM)                   2.076839                  2.100193   \n",
       "Ahern, James (AGB)                        1.143355                  1.161290   \n",
       "Ahler, Michael (CHEM)                     1.016317                  0.830000   \n",
       "Ahlgren, William L. (EE)                  0.617883                  0.455584   \n",
       "Ahmed, Deif (AERO)                        0.722842                  0.050000   \n",
       "Ajaib, Muhammad Adeel (PHYS)              0.922171                  0.675574   \n",
       "Alaniz, Ryan (SOC)                        1.131039                  1.074335   \n",
       "Alexander, Benjamin (BUS)                 0.822760                  0.576426   \n",
       "Alexander, Charlotte (JOUR)               1.735771                  1.664001   \n",
       "Alexander, Dekhtyar (CSC)                 1.009075                  0.783730   \n",
       "Algert, Susan (FSN)                       1.254153                  1.014347   \n",
       "Allebe, Adrienne (ART)                    1.035809                  0.727255   \n",
       "Allen, Regulus (ENGL)                     0.563562                  0.553329   \n",
       "Allen, Teresa (JOUR)                      1.412834                  1.211652   \n",
       "...                                            ...                       ...   \n",
       "York, Jonathan (BUS)                      1.393162                  1.121116   \n",
       "Yoshimura, Michael (BIO)                  1.232053                  0.944434   \n",
       "Yoshinobu, Stan Taira (MATH)              1.453582                  1.304697   \n",
       "Yost, Jenn (BIO)                          1.866902                  1.650683   \n",
       "Young, Arthur (BUS)                       1.789525                  1.666253   \n",
       "Yu, Mei (EE)                              1.099500                  0.827587   \n",
       "Yu, Xiao-Hua (EE)                         0.864001                  0.579592   \n",
       "Yun, David (NRM)                          0.944934                  0.805543   \n",
       "Zacarias, Hilda (BUS)                     1.279414                  1.104943   \n",
       "Zahn, Jan (ENGL)                          1.686173                  1.463049   \n",
       "Zahra, Alghoul (CHEM)                     1.185057                  1.010188   \n",
       "Zambrano, Eduardo (ECON)                  1.016016                  0.751635   \n",
       "Zammit, Ronald (PHYS)                     1.058644                  0.793153   \n",
       "Zarowitz, Michael (BIO)                   1.156244                  0.892132   \n",
       "Zatzick, Chris (BUS)                      0.940030                  1.100752   \n",
       "Zeng, Wei (MATH)                          0.714143                  0.707107   \n",
       "Zetzsche, James (BRAE)                    1.343064                  1.199648   \n",
       "Zeuschner, Raymond (COMS)                 1.071660                  0.819220   \n",
       "Zhang, Jane (EE)                          0.707743                  0.718958   \n",
       "Zhang, Jinsong (CHEM)                     0.743572                  0.330000   \n",
       "Zhang, Ning (POLS)                        0.731847                  0.421426   \n",
       "Zhang, Shanju (CHEM)                      0.945522                  0.768989   \n",
       "Zhang, Xiaozheng (EE)                     0.782838                  0.603463   \n",
       "Zinn, Jesse (ECON)                        1.265899                  1.350000   \n",
       "Zohns, Mark (BRAE)                        2.032954                  1.813532   \n",
       "Zohns, Michael (EHS)                      1.943722                  1.719900   \n",
       "Zoller, David (PHIL)                      1.446686                  1.203703   \n",
       "Zulfacar, Maliha (SOC)                    0.583274                  0.496019   \n",
       "Zumwalt, Marta (CHEM)                     0.816456                  0.754056   \n",
       "Zweifel, Dick (ARCH)                      0.927362                  1.220656   \n",
       "\n",
       "name_class                       Acosta, Kellie (BIO)  Adam, Sandra (AGB)  \\\n",
       "name_class                                                                  \n",
       "Abel, Christina (CHEM)                       0.759250            0.845841   \n",
       "Aberbromby, Kira (AERO)                      0.804751            1.056253   \n",
       "Abitia, Fred (IT)                            1.321779            1.720581   \n",
       "Abler, Fred (ARCH)                           1.773105            1.709269   \n",
       "Abney, Keith (PHIL)                          0.949125            0.992555   \n",
       "Abney, Ray (ENGL)                            1.103585            1.288410   \n",
       "Abshire, Franklin (MATH)                     0.907689            1.044031   \n",
       "Acosta, Kellie (BIO)                              inf            1.229593   \n",
       "Adam, Sandra (AGB)                           1.229593                 inf   \n",
       "Adams, Nikki (BIO)                           0.709507            0.950000   \n",
       "Adan, Elizabeth (ART)                        0.770428            1.313166   \n",
       "Agalos, Pete (ASCI)                          0.790151            1.225060   \n",
       "Agbo, Samuel (EE)                            1.865774            1.665411   \n",
       "Agrawal, Mohan (BUS)                         0.699723            1.156800   \n",
       "Agronsky, Steve (MATH)                       0.973641            1.310504   \n",
       "Aguayo-Vazquez, Jennifer (MATH)              1.152153            1.105542   \n",
       "Aguilera, Javier (CHEM)                      2.821369            2.533817   \n",
       "Ahern, James (AGB)                           1.891438            1.627314   \n",
       "Ahler, Michael (CHEM)                        1.620185            1.508940   \n",
       "Ahlgren, William L. (EE)                     1.168119            1.117736   \n",
       "Ahmed, Deif (AERO)                           0.871436            1.030776   \n",
       "Ajaib, Muhammad Adeel (PHYS)                 0.847054            0.945727   \n",
       "Alaniz, Ryan (SOC)                           0.756990            1.204853   \n",
       "Alexander, Benjamin (BUS)                    1.141884            0.764809   \n",
       "Alexander, Charlotte (JOUR)                  2.318405            2.157985   \n",
       "Alexander, Dekhtyar (CSC)                    1.465719            1.422053   \n",
       "Algert, Susan (FSN)                          1.274755            0.130000   \n",
       "Allebe, Adrienne (ART)                       0.935414            1.231625   \n",
       "Allen, Regulus (ENGL)                        1.176770            1.267349   \n",
       "Allen, Teresa (JOUR)                         0.728972            1.050762   \n",
       "...                                               ...                 ...   \n",
       "York, Jonathan (BUS)                         0.956556            1.350889   \n",
       "Yoshimura, Michael (BIO)                     0.968842            0.548290   \n",
       "Yoshinobu, Stan Taira (MATH)                 0.889757            1.193133   \n",
       "Yost, Jenn (BIO)                             1.101218            1.578484   \n",
       "Young, Arthur (BUS)                          1.217826            1.708333   \n",
       "Yu, Mei (EE)                                 1.189538            0.364555   \n",
       "Yu, Xiao-Hua (EE)                            1.145300            0.714091   \n",
       "Yun, David (NRM)                             0.689202            0.967936   \n",
       "Zacarias, Hilda (BUS)                        1.635420            0.770000   \n",
       "Zahn, Jan (ENGL)                             1.036120            1.252668   \n",
       "Zahra, Alghoul (CHEM)                        0.673849            1.119615   \n",
       "Zambrano, Eduardo (ECON)                     0.625611            1.056546   \n",
       "Zammit, Ronald (PHYS)                        0.755965            0.604228   \n",
       "Zarowitz, Michael (BIO)                      0.758024            0.958071   \n",
       "Zatzick, Chris (BUS)                         0.885149            1.347463   \n",
       "Zeng, Wei (MATH)                             1.150609            0.768115   \n",
       "Zetzsche, James (BRAE)                       1.001726            1.401840   \n",
       "Zeuschner, Raymond (COMS)                    0.716860            1.165814   \n",
       "Zhang, Jane (EE)                             1.230853            1.298037   \n",
       "Zhang, Jinsong (CHEM)                        1.172604            1.181905   \n",
       "Zhang, Ning (POLS)                           0.793662            0.850647   \n",
       "Zhang, Shanju (CHEM)                         0.698363            0.896295   \n",
       "Zhang, Xiaozheng (EE)                        0.771075            0.755977   \n",
       "Zinn, Jesse (ECON)                           2.046314            1.613227   \n",
       "Zohns, Mark (BRAE)                           1.369306            1.837634   \n",
       "Zohns, Michael (EHS)                         1.305739            1.765802   \n",
       "Zoller, David (PHIL)                         1.172604            0.370000   \n",
       "Zulfacar, Maliha (SOC)                       1.134198            1.205437   \n",
       "Zumwalt, Marta (CHEM)                        0.823347            0.628172   \n",
       "Zweifel, Dick (ARCH)                         1.803303            1.732051   \n",
       "\n",
       "name_class                       Adams, Nikki (BIO)          ...           \\\n",
       "name_class                                                   ...            \n",
       "Abel, Christina (CHEM)                     0.656828          ...            \n",
       "Aberbromby, Kira (AERO)                    0.800958          ...            \n",
       "Abitia, Fred (IT)                          1.403175          ...            \n",
       "Abler, Fred (ARCH)                         1.584961          ...            \n",
       "Abney, Keith (PHIL)                        0.739045          ...            \n",
       "Abney, Ray (ENGL)                          0.939415          ...            \n",
       "Abshire, Franklin (MATH)                   0.694622          ...            \n",
       "Acosta, Kellie (BIO)                       0.709507          ...            \n",
       "Adam, Sandra (AGB)                         0.950000          ...            \n",
       "Adams, Nikki (BIO)                              inf          ...            \n",
       "Adan, Elizabeth (ART)                      0.925740          ...            \n",
       "Agalos, Pete (ASCI)                        0.843567          ...            \n",
       "Agbo, Samuel (EE)                          1.633681          ...            \n",
       "Agrawal, Mohan (BUS)                       0.636292          ...            \n",
       "Agronsky, Steve (MATH)                     1.067135          ...            \n",
       "Aguayo-Vazquez, Jennifer (MATH)            1.136393          ...            \n",
       "Aguilera, Javier (CHEM)                    2.579357          ...            \n",
       "Ahern, James (AGB)                         1.636692          ...            \n",
       "Ahler, Michael (CHEM)                      1.385063          ...            \n",
       "Ahlgren, William L. (EE)                   0.928530          ...            \n",
       "Ahmed, Deif (AERO)                         0.663325          ...            \n",
       "Ajaib, Muhammad Adeel (PHYS)               0.693470          ...            \n",
       "Alaniz, Ryan (SOC)                         0.798361          ...            \n",
       "Alexander, Benjamin (BUS)                  0.847801          ...            \n",
       "Alexander, Charlotte (JOUR)                2.109123          ...            \n",
       "Alexander, Dekhtyar (CSC)                  1.254485          ...            \n",
       "Algert, Susan (FSN)                        0.978979          ...            \n",
       "Allebe, Adrienne (ART)                     0.811419          ...            \n",
       "Allen, Regulus (ENGL)                      0.904411          ...            \n",
       "Allen, Teresa (JOUR)                       0.854166          ...            \n",
       "...                                             ...          ...            \n",
       "York, Jonathan (BUS)                       0.977957          ...            \n",
       "Yoshimura, Michael (BIO)                   0.765368          ...            \n",
       "Yoshinobu, Stan Taira (MATH)               0.930090          ...            \n",
       "Yost, Jenn (BIO)                           1.219354          ...            \n",
       "Young, Arthur (BUS)                        1.294952          ...            \n",
       "Yu, Mei (EE)                               0.885664          ...            \n",
       "Yu, Xiao-Hua (EE)                          0.846082          ...            \n",
       "Yun, David (NRM)                           0.606960          ...            \n",
       "Zacarias, Hilda (BUS)                      1.313925          ...            \n",
       "Zahn, Jan (ENGL)                           1.086743          ...            \n",
       "Zahra, Alghoul (CHEM)                      0.681635          ...            \n",
       "Zambrano, Eduardo (ECON)                   0.624064          ...            \n",
       "Zammit, Ronald (PHYS)                      0.586710          ...            \n",
       "Zarowitz, Michael (BIO)                    0.690217          ...            \n",
       "Zatzick, Chris (BUS)                       0.912043          ...            \n",
       "Zeng, Wei (MATH)                           0.884590          ...            \n",
       "Zetzsche, James (BRAE)                     1.037138          ...            \n",
       "Zeuschner, Raymond (COMS)                  0.695669          ...            \n",
       "Zhang, Jane (EE)                           1.056598          ...            \n",
       "Zhang, Jinsong (CHEM)                      0.942550          ...            \n",
       "Zhang, Ning (POLS)                         0.569298          ...            \n",
       "Zhang, Shanju (CHEM)                       0.522983          ...            \n",
       "Zhang, Xiaozheng (EE)                      0.548129          ...            \n",
       "Zinn, Jesse (ECON)                         1.772005          ...            \n",
       "Zohns, Mark (BRAE)                         1.506121          ...            \n",
       "Zohns, Michael (EHS)                       1.430229          ...            \n",
       "Zoller, David (PHIL)                       0.963535          ...            \n",
       "Zulfacar, Maliha (SOC)                     0.927697          ...            \n",
       "Zumwalt, Marta (CHEM)                      0.595903          ...            \n",
       "Zweifel, Dick (ARCH)                       1.613227          ...            \n",
       "\n",
       "name_class                       Zhang, Ning (POLS)  Zhang, Shanju (CHEM)  \\\n",
       "name_class                                                                  \n",
       "Abel, Christina (CHEM)                     0.733770              0.448129   \n",
       "Aberbromby, Kira (AERO)                    0.840410              0.532680   \n",
       "Abitia, Fred (IT)                          1.483779              1.271591   \n",
       "Abler, Fred (ARCH)                         1.389244              1.690723   \n",
       "Abney, Keith (PHIL)                        0.425451              0.736135   \n",
       "Abney, Ray (ENGL)                          0.731847              0.945522   \n",
       "Abshire, Franklin (MATH)                   0.421426              0.768989   \n",
       "Acosta, Kellie (BIO)                       0.793662              0.698363   \n",
       "Adam, Sandra (AGB)                         0.850647              0.896295   \n",
       "Adams, Nikki (BIO)                         0.569298              0.522983   \n",
       "Adan, Elizabeth (ART)                      1.085258              0.731547   \n",
       "Agalos, Pete (ASCI)                        0.896248              0.572394   \n",
       "Agbo, Samuel (EE)                          1.377110              1.776339   \n",
       "Agrawal, Mohan (BUS)                       0.565463              0.484614   \n",
       "Agronsky, Steve (MATH)                     1.170735              0.774359   \n",
       "Aguayo-Vazquez, Jennifer (MATH)            1.210711              0.930358   \n",
       "Aguilera, Javier (CHEM)                    2.331013              2.732251   \n",
       "Ahern, James (AGB)                         1.376168              1.758157   \n",
       "Ahler, Michael (CHEM)                      1.124678              1.525138   \n",
       "Ahlgren, William L. (EE)                   0.598072              0.984813   \n",
       "Ahmed, Deif (AERO)                         0.395095              0.728591   \n",
       "Ajaib, Muhammad Adeel (PHYS)               0.482079              0.593193   \n",
       "Alaniz, Ryan (SOC)                         0.835329              0.501409   \n",
       "Alexander, Benjamin (BUS)                  0.553775              0.920561   \n",
       "Alexander, Charlotte (JOUR)                1.839810              2.129799   \n",
       "Alexander, Dekhtyar (CSC)                  0.989731              1.306412   \n",
       "Algert, Susan (FSN)                        0.851411              0.951864   \n",
       "Allebe, Adrienne (ART)                     0.724500              0.907034   \n",
       "Allen, Regulus (ENGL)                      0.733136              1.082521   \n",
       "Allen, Teresa (JOUR)                       0.960469              0.647594   \n",
       "...                                             ...                   ...   \n",
       "York, Jonathan (BUS)                       0.903825              0.817748   \n",
       "Yoshimura, Michael (BIO)                   0.676626              0.502494   \n",
       "Yoshinobu, Stan Taira (MATH)               1.057466              0.735935   \n",
       "Yost, Jenn (BIO)                           1.417083              1.053056   \n",
       "Young, Arthur (BUS)                        1.440694              1.053697   \n",
       "Yu, Mei (EE)                               0.684763              0.887719   \n",
       "Yu, Xiao-Hua (EE)                          0.556146              0.891149   \n",
       "Yun, David (NRM)                           0.552178              0.250422   \n",
       "Zacarias, Hilda (BUS)                      1.106391              1.380016   \n",
       "Zahn, Jan (ENGL)                           1.185627              0.812233   \n",
       "Zahra, Alghoul (CHEM)                      0.808519              0.581151   \n",
       "Zambrano, Eduardo (ECON)                   0.558231              0.333483   \n",
       "Zammit, Ronald (PHYS)                      0.500764              0.398565   \n",
       "Zarowitz, Michael (BIO)                    0.631744              0.418662   \n",
       "Zatzick, Chris (BUS)                       0.894682              0.670124   \n",
       "Zeng, Wei (MATH)                           0.614492              0.821388   \n",
       "Zetzsche, James (BRAE)                     0.982627              0.633763   \n",
       "Zeuschner, Raymond (COMS)                  0.653546              0.442769   \n",
       "Zhang, Jane (EE)                           0.746257              1.051369   \n",
       "Zhang, Jinsong (CHEM)                      0.667008              1.056430   \n",
       "Zhang, Ning (POLS)                              inf              0.482919   \n",
       "Zhang, Shanju (CHEM)                       0.482919                   inf   \n",
       "Zhang, Xiaozheng (EE)                      0.319846              0.473429   \n",
       "Zinn, Jesse (ECON)                         1.500700              1.856388   \n",
       "Zohns, Mark (BRAE)                         1.570000              1.235332   \n",
       "Zohns, Michael (EHS)                       1.480424              1.098868   \n",
       "Zoller, David (PHIL)                       0.951262              0.834293   \n",
       "Zulfacar, Maliha (SOC)                     0.669107              1.016806   \n",
       "Zumwalt, Marta (CHEM)                      0.484768              0.434601   \n",
       "Zweifel, Dick (ARCH)                       1.342982              1.621731   \n",
       "\n",
       "name_class                       Zhang, Xiaozheng (EE)  Zinn, Jesse (ECON)  \\\n",
       "name_class                                                                   \n",
       "Abel, Christina (CHEM)                        0.599171            2.088607   \n",
       "Aberbromby, Kira (AERO)                       0.756088            2.226879   \n",
       "Abitia, Fred (IT)                             1.442556            2.721195   \n",
       "Abler, Fred (ARCH)                            1.508300            1.319129   \n",
       "Abney, Keith (PHIL)                           0.575991            1.230735   \n",
       "Abney, Ray (ENGL)                             0.782838            1.265899   \n",
       "Abshire, Franklin (MATH)                      0.603463            1.350000   \n",
       "Acosta, Kellie (BIO)                          0.771075            2.046314   \n",
       "Adam, Sandra (AGB)                            0.755977            1.613227   \n",
       "Adams, Nikki (BIO)                            0.548129            1.772005   \n",
       "Adan, Elizabeth (ART)                         0.996186            2.435774   \n",
       "Agalos, Pete (ASCI)                           0.878861            2.297449   \n",
       "Agbo, Samuel (EE)                             1.512373            0.734478   \n",
       "Agrawal, Mohan (BUS)                          0.558864            1.860829   \n",
       "Agronsky, Steve (MATH)                        1.065604            2.588807   \n",
       "Aguayo-Vazquez, Jennifer (MATH)               1.074805            2.528120   \n",
       "Aguilera, Javier (CHEM)                       2.459741            1.101928   \n",
       "Ahern, James (AGB)                            1.500216            0.468668   \n",
       "Ahler, Michael (CHEM)                         1.284783            0.776144   \n",
       "Ahlgren, William L. (EE)                      0.755413            1.041767   \n",
       "Ahmed, Deif (AERO)                            0.575037            1.392839   \n",
       "Ajaib, Muhammad Adeel (PHYS)                  0.403252            1.686683   \n",
       "Alaniz, Ryan (SOC)                            0.757859            2.175779   \n",
       "Alexander, Benjamin (BUS)                     0.629936            1.119568   \n",
       "Alexander, Charlotte (JOUR)                   2.022540            1.237901   \n",
       "Alexander, Dekhtyar (CSC)                     1.166191            1.103510   \n",
       "Algert, Susan (FSN)                           0.777175            1.497465   \n",
       "Allebe, Adrienne (ART)                        0.877877            1.656019   \n",
       "Allen, Regulus (ENGL)                         0.855491            1.086654   \n",
       "Allen, Teresa (JOUR)                          0.831813            2.323274   \n",
       "...                                                ...                 ...   \n",
       "York, Jonathan (BUS)                          0.997330            2.253974   \n",
       "Yoshimura, Michael (BIO)                      0.627757            1.838964   \n",
       "Yoshinobu, Stan Taira (MATH)                  0.923921            2.425366   \n",
       "Yost, Jenn (BIO)                              1.333764            2.834778   \n",
       "Young, Arthur (BUS)                           1.383502            2.798732   \n",
       "Yu, Mei (EE)                                  0.648760            1.366894   \n",
       "Yu, Xiao-Hua (EE)                             0.623054            1.156039   \n",
       "Yun, David (NRM)                              0.513811            1.900631   \n",
       "Zacarias, Hilda (BUS)                         1.121071            0.981020   \n",
       "Zahn, Jan (ENGL)                              1.093739            2.592363   \n",
       "Zahra, Alghoul (CHEM)                         0.764047            2.088831   \n",
       "Zambrano, Eduardo (ECON)                      0.594217            1.931352   \n",
       "Zammit, Ronald (PHYS)                         0.405486            1.793790   \n",
       "Zarowitz, Michael (BIO)                       0.613389            2.009328   \n",
       "Zatzick, Chris (BUS)                          0.834462            2.056815   \n",
       "Zeng, Wei (MATH)                              0.647861            1.150000   \n",
       "Zetzsche, James (BRAE)                        1.025890            2.256174   \n",
       "Zeuschner, Raymond (COMS)                     0.691965            2.008637   \n",
       "Zhang, Jane (EE)                              0.800834            1.241129   \n",
       "Zhang, Jinsong (CHEM)                         0.843011            1.082774   \n",
       "Zhang, Ning (POLS)                            0.319846            1.500700   \n",
       "Zhang, Shanju (CHEM)                          0.473429            1.856388   \n",
       "Zhang, Xiaozheng (EE)                              inf            1.603192   \n",
       "Zinn, Jesse (ECON)                            1.603192                 inf   \n",
       "Zohns, Mark (BRAE)                            1.565461            2.992056   \n",
       "Zohns, Michael (EHS)                          1.485336            2.888868   \n",
       "Zoller, David (PHIL)                          0.814863            1.952537   \n",
       "Zulfacar, Maliha (SOC)                        0.819407            1.075221   \n",
       "Zumwalt, Marta (CHEM)                         0.340541            1.628834   \n",
       "Zweifel, Dick (ARCH)                          1.461487            0.838153   \n",
       "\n",
       "name_class                       Zohns, Mark (BRAE)  Zohns, Michael (EHS)  \\\n",
       "name_class                                                                  \n",
       "Abel, Christina (CHEM)                     1.154508              1.102563   \n",
       "Aberbromby, Kira (AERO)                    1.000857              0.939664   \n",
       "Abitia, Fred (IT)                          1.285340              1.276110   \n",
       "Abler, Fred (ARCH)                         2.632280              2.537648   \n",
       "Abney, Keith (PHIL)                        1.862143              1.751903   \n",
       "Abney, Ray (ENGL)                          2.032954              1.943722   \n",
       "Abshire, Franklin (MATH)                   1.813532              1.719900   \n",
       "Acosta, Kellie (BIO)                       1.369306              1.305739   \n",
       "Adam, Sandra (AGB)                         1.837634              1.765802   \n",
       "Adams, Nikki (BIO)                         1.506121              1.430229   \n",
       "Adan, Elizabeth (ART)                      0.957466              0.938667   \n",
       "Agalos, Pete (ASCI)                        0.843540              0.818384   \n",
       "Agbo, Samuel (EE)                          2.851590              2.754882   \n",
       "Agrawal, Mohan (BUS)                       1.396122              1.281641   \n",
       "Agronsky, Steve (MATH)                     0.726621              0.701868   \n",
       "Aguayo-Vazquez, Jennifer (MATH)            1.091996              1.083333   \n",
       "Aguilera, Javier (CHEM)                    3.818541              3.712932   \n",
       "Ahern, James (AGB)                         2.877168              2.772300   \n",
       "Ahler, Michael (CHEM)                      2.598076              2.493984   \n",
       "Ahlgren, William L. (EE)                   2.099881              1.979006   \n",
       "Ahmed, Deif (AERO)                         1.767597              1.674979   \n",
       "Ajaib, Muhammad Adeel (PHYS)               1.530523              1.453429   \n",
       "Alaniz, Ryan (SOC)                         1.072690              1.017387   \n",
       "Alexander, Benjamin (BUS)                  2.022103              1.945847   \n",
       "Alexander, Charlotte (JOUR)                3.082207              2.918325   \n",
       "Alexander, Dekhtyar (CSC)                  2.310844              2.184226   \n",
       "Algert, Susan (FSN)                        1.936492              1.860096   \n",
       "Allebe, Adrienne (ART)                     1.802776              1.620686   \n",
       "Allen, Regulus (ENGL)                      2.182676              2.085481   \n",
       "Allen, Teresa (JOUR)                       1.056598              1.023306   \n",
       "...                                             ...                   ...   \n",
       "York, Jonathan (BUS)                       1.067708              1.088404   \n",
       "Yoshimura, Michael (BIO)                   1.382144              1.267899   \n",
       "Yoshinobu, Stan Taira (MATH)               1.040833              1.016508   \n",
       "Yost, Jenn (BIO)                           0.751548              0.772380   \n",
       "Young, Arthur (BUS)                        0.766877              0.754844   \n",
       "Yu, Mei (EE)                               1.933908              1.850934   \n",
       "Yu, Xiao-Hua (EE)                          2.005243              1.905976   \n",
       "Yun, David (NRM)                           1.224745              1.123961   \n",
       "Zacarias, Hilda (BUS)                      2.465684              2.374017   \n",
       "Zahn, Jan (ENGL)                           0.755123              0.736742   \n",
       "Zahra, Alghoul (CHEM)                      1.202063              1.138465   \n",
       "Zambrano, Eduardo (ECON)                   1.204044              1.075438   \n",
       "Zammit, Ronald (PHYS)                      1.345744              1.302897   \n",
       "Zarowitz, Michael (BIO)                    1.108873              1.081337   \n",
       "Zatzick, Chris (BUS)                       1.339834              1.287910   \n",
       "Zeng, Wei (MATH)                           1.946510              1.859585   \n",
       "Zetzsche, James (BRAE)                     0.960098              0.770923   \n",
       "Zeuschner, Raymond (COMS)                  1.178511              1.052489   \n",
       "Zhang, Jane (EE)                           2.059126              1.969253   \n",
       "Zhang, Jinsong (CHEM)                      2.121320              2.022364   \n",
       "Zhang, Ning (POLS)                         1.570000              1.480424   \n",
       "Zhang, Shanju (CHEM)                       1.235332              1.098868   \n",
       "Zhang, Xiaozheng (EE)                      1.565461              1.485336   \n",
       "Zinn, Jesse (ECON)                         2.992056              2.888868   \n",
       "Zohns, Mark (BRAE)                              inf              0.635050   \n",
       "Zohns, Michael (EHS)                       0.635050                   inf   \n",
       "Zoller, David (PHIL)                       1.581139              1.526419   \n",
       "Zulfacar, Maliha (SOC)                     2.110247              2.006541   \n",
       "Zumwalt, Marta (CHEM)                      1.545283              1.470597   \n",
       "Zweifel, Dick (ARCH)                       2.667752              2.572558   \n",
       "\n",
       "name_class                       Zoller, David (PHIL)  Zulfacar, Maliha (SOC)  \\\n",
       "name_class                                                                      \n",
       "Abel, Christina (CHEM)                       0.644784                1.318886   \n",
       "Aberbromby, Kira (AERO)                      0.852743                1.419541   \n",
       "Abitia, Fred (IT)                            1.540162                1.915171   \n",
       "Abler, Fred (ARCH)                           1.941365                1.110331   \n",
       "Abney, Keith (PHIL)                          1.172035                0.425132   \n",
       "Abney, Ray (ENGL)                            1.446686                0.583274   \n",
       "Abshire, Franklin (MATH)                     1.203703                0.496019   \n",
       "Acosta, Kellie (BIO)                         1.172604                1.134198   \n",
       "Adam, Sandra (AGB)                           0.370000                1.205437   \n",
       "Adams, Nikki (BIO)                           0.963535                0.927697   \n",
       "Adan, Elizabeth (ART)                        1.083099                1.626211   \n",
       "Agalos, Pete (ASCI)                          1.040515                1.444909   \n",
       "Agbo, Samuel (EE)                            1.980983                0.856704   \n",
       "Agrawal, Mohan (BUS)                         1.158398                0.876755   \n",
       "Agronsky, Steve (MATH)                       1.027191                1.749031   \n",
       "Aguayo-Vazquez, Jennifer (MATH)              0.786843                1.821433   \n",
       "Aguilera, Javier (CHEM)                      2.882868                1.776704   \n",
       "Ahern, James (AGB)                           1.952857                0.847445   \n",
       "Ahler, Michael (CHEM)                        1.802776                0.608716   \n",
       "Ahlgren, William L. (EE)                     1.350124                0.354904   \n",
       "Ahmed, Deif (AERO)                           1.176605                0.531540   \n",
       "Ajaib, Muhammad Adeel (PHYS)                 0.970824                0.949251   \n",
       "Alaniz, Ryan (SOC)                           1.045356                1.358208   \n",
       "Alexander, Benjamin (BUS)                    1.030647                0.609057   \n",
       "Alexander, Charlotte (JOUR)                  2.449490                1.327670   \n",
       "Alexander, Dekhtyar (CSC)                    1.665333                0.619618   \n",
       "Algert, Susan (FSN)                          0.500000                1.141744   \n",
       "Allebe, Adrienne (ART)                       1.322876                0.920357   \n",
       "Allen, Regulus (ENGL)                        1.491333                0.320980   \n",
       "Allen, Teresa (JOUR)                         0.810185                1.504670   \n",
       "...                                               ...                     ...   \n",
       "York, Jonathan (BUS)                         1.240967                1.432151   \n",
       "Yoshimura, Michael (BIO)                     0.479919                1.165537   \n",
       "Yoshinobu, Stan Taira (MATH)                 0.957427                1.594042   \n",
       "Yost, Jenn (BIO)                             1.288065                1.987632   \n",
       "Young, Arthur (BUS)                          1.451930                1.985022   \n",
       "Yu, Mei (EE)                                 0.663325                0.953399   \n",
       "Yu, Xiao-Hua (EE)                            0.986117                0.612340   \n",
       "Yun, David (NRM)                             0.894427                1.052168   \n",
       "Zacarias, Hilda (BUS)                        1.140000                1.029747   \n",
       "Zahn, Jan (ENGL)                             0.952301                1.781228   \n",
       "Zahra, Alghoul (CHEM)                        0.995408                1.299760   \n",
       "Zambrano, Eduardo (ECON)                     1.008161                1.000353   \n",
       "Zammit, Ronald (PHYS)                        0.536089                1.072308   \n",
       "Zarowitz, Michael (BIO)                      0.836421                1.205309   \n",
       "Zatzick, Chris (BUS)                         1.255052                1.310967   \n",
       "Zeng, Wei (MATH)                             0.974115                0.784602   \n",
       "Zetzsche, James (BRAE)                       1.276110                1.426371   \n",
       "Zeuschner, Raymond (COMS)                    1.105542                1.074879   \n",
       "Zhang, Jane (EE)                             1.462874                0.737631   \n",
       "Zhang, Jinsong (CHEM)                        1.414214                0.361296   \n",
       "Zhang, Ning (POLS)                           0.951262                0.669107   \n",
       "Zhang, Shanju (CHEM)                         0.834293                1.016806   \n",
       "Zhang, Xiaozheng (EE)                        0.814863                0.819407   \n",
       "Zinn, Jesse (ECON)                           1.952537                1.075221   \n",
       "Zohns, Mark (BRAE)                           1.581139                2.110247   \n",
       "Zohns, Michael (EHS)                         1.526419                2.006541   \n",
       "Zoller, David (PHIL)                              inf                1.436516   \n",
       "Zulfacar, Maliha (SOC)                       1.436516                     inf   \n",
       "Zumwalt, Marta (CHEM)                        0.654141                0.946807   \n",
       "Zweifel, Dick (ARCH)                         1.968985                1.042172   \n",
       "\n",
       "name_class                       Zumwalt, Marta (CHEM)  Zweifel, Dick (ARCH)  \n",
       "name_class                                                                    \n",
       "Abel, Christina (CHEM)                        0.527428              1.887356  \n",
       "Aberbromby, Kira (AERO)                       0.733991              1.974666  \n",
       "Abitia, Fred (IT)                             1.442429              2.433187  \n",
       "Abler, Fred (ARCH)                            1.607794              1.414779  \n",
       "Abney, Keith (PHIL)                           0.656877              1.063603  \n",
       "Abney, Ray (ENGL)                             0.816456              0.927362  \n",
       "Abshire, Franklin (MATH)                      0.754056              1.220656  \n",
       "Acosta, Kellie (BIO)                          0.823347              1.803303  \n",
       "Adam, Sandra (AGB)                            0.628172              1.732051  \n",
       "Adams, Nikki (BIO)                            0.595903              1.613227  \n",
       "Adan, Elizabeth (ART)                         0.926609              2.098234  \n",
       "Agalos, Pete (ASCI)                           0.860771              2.000193  \n",
       "Agbo, Samuel (EE)                             1.625639              1.142944  \n",
       "Agrawal, Mohan (BUS)                          0.674620              1.642615  \n",
       "Agronsky, Steve (MATH)                        1.003020              2.318927  \n",
       "Aguayo-Vazquez, Jennifer (MATH)               1.001743              2.357023  \n",
       "Aguilera, Javier (CHEM)                       2.557918              1.676085  \n",
       "Ahern, James (AGB)                            1.577183              0.931745  \n",
       "Ahler, Michael (CHEM)                         1.409929              1.008415  \n",
       "Ahlgren, William L. (EE)                      0.883944              0.978889  \n",
       "Ahmed, Deif (AERO)                            0.726017              1.250000  \n",
       "Ajaib, Muhammad Adeel (PHYS)                  0.596154              1.460959  \n",
       "Alaniz, Ryan (SOC)                            0.688810              1.807029  \n",
       "Alexander, Benjamin (BUS)                     0.712975              1.210344  \n",
       "Alexander, Charlotte (JOUR)                   2.123182              1.548192  \n",
       "Alexander, Dekhtyar (CSC)                     1.284225              1.167148  \n",
       "Algert, Susan (FSN)                           0.669253              1.660392  \n",
       "Allebe, Adrienne (ART)                        0.973602              1.502298  \n",
       "Allen, Regulus (ENGL)                         0.984118              1.010178  \n",
       "Allen, Teresa (JOUR)                          0.759934              2.117569  \n",
       "...                                                ...                   ...  \n",
       "York, Jonathan (BUS)                          1.029514              1.991206  \n",
       "Yoshimura, Michael (BIO)                      0.532437              1.787164  \n",
       "Yoshinobu, Stan Taira (MATH)                  0.860949              2.197779  \n",
       "Yost, Jenn (BIO)                              1.289289              2.529293  \n",
       "Young, Arthur (BUS)                           1.324613              2.382939  \n",
       "Yu, Mei (EE)                                  0.626019              1.507614  \n",
       "Yu, Xiao-Hua (EE)                             0.701436              1.276686  \n",
       "Yun, David (NRM)                              0.477389              1.636123  \n",
       "Zacarias, Hilda (BUS)                         1.096859              1.432794  \n",
       "Zahn, Jan (ENGL)                              1.018026              2.358498  \n",
       "Zahra, Alghoul (CHEM)                         0.725499              1.793290  \n",
       "Zambrano, Eduardo (ECON)                      0.649068              1.709665  \n",
       "Zammit, Ronald (PHYS)                         0.332129              1.662310  \n",
       "Zarowitz, Michael (BIO)                       0.604649              1.768587  \n",
       "Zatzick, Chris (BUS)                          0.753296              1.581873  \n",
       "Zeng, Wei (MATH)                              0.564447              0.994987  \n",
       "Zetzsche, James (BRAE)                        1.006920              1.891689  \n",
       "Zeuschner, Raymond (COMS)                     0.752854              1.760432  \n",
       "Zhang, Jane (EE)                              0.974628              0.908240  \n",
       "Zhang, Jinsong (CHEM)                         0.983819              1.066255  \n",
       "Zhang, Ning (POLS)                            0.484768              1.342982  \n",
       "Zhang, Shanju (CHEM)                          0.434601              1.621731  \n",
       "Zhang, Xiaozheng (EE)                         0.340541              1.461487  \n",
       "Zinn, Jesse (ECON)                            1.628834              0.838153  \n",
       "Zohns, Mark (BRAE)                            1.545283              2.667752  \n",
       "Zohns, Michael (EHS)                          1.470597              2.572558  \n",
       "Zoller, David (PHIL)                          0.654141              1.968985  \n",
       "Zulfacar, Maliha (SOC)                        0.946807              1.042172  \n",
       "Zumwalt, Marta (CHEM)                              inf              1.474653  \n",
       "Zweifel, Dick (ARCH)                          1.474653                   inf  \n",
       "\n",
       "[2468 rows x 2468 columns]"
      ]
     },
     "execution_count": 119,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "D_.set_index(full2.index, inplace=True)\n",
    "D_2 = D_.T.set_index(full2.index)\n",
    "D_2.set_index(full2.index)\n",
    "D_2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 102,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'Navarro, Jose (ENGL)'"
      ]
     },
     "execution_count": 102,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "D_2.idxmin(axis=1)['Aberbromby, Kira (AERO)']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 103,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "name_class\n",
       "Fahs, Michael (COMS)                0.222222\n",
       "Gooden, Reginald (POLS)             0.200000\n",
       "Doyle, D.Gregg (CRP)                0.166667\n",
       "Strahl, Richard (IME)               0.166667\n",
       "Rice, Thomas (SS)                   0.125000\n",
       "Hall, Zachary (COMS)                0.125000\n",
       "Hall, Michael (ASCI)                0.125000\n",
       "Ausmus, William (COMS)              0.101695\n",
       "Srinivasan, Prashant (PHYS)         0.100000\n",
       "Raio, Larry (SS)                    0.100000\n",
       "Harris, John (NRM)                  0.090909\n",
       "Schnupp, Alvin (TH)                 0.090909\n",
       "Devaney, Kevin (CE)                 0.090909\n",
       "Lynch, Joe (PHIL)                   0.088235\n",
       "Miller, Michael (ART)               0.076923\n",
       "Wilhelm, Deborah (ENGL)             0.076923\n",
       "Brown, Ronald (PHYS)                0.075000\n",
       "Bethel, Walt (PHIL)                 0.066667\n",
       "Mirahmad, Mortazavi Izadi (STAT)    0.058824\n",
       "Olenowski, Jay (STAT)               0.058824\n",
       "Jankovitz, Kristine (PE)            0.055556\n",
       "Bishop, Roger (BUS)                 0.050000\n",
       "Walters, William (ENGL)             0.045455\n",
       "Keeling, David (CHEM)               0.045455\n",
       "Abney, Keith (PHIL)                 0.043478\n",
       "London, Blair (MATE)                0.041667\n",
       "Preston, Alison (ENGL)              0.041667\n",
       "Knight, Charles (BIO)               0.038462\n",
       "Call, Lewis (HIST)                  0.037037\n",
       "Simek, Jan (CHEM)                   0.035714\n",
       "                                      ...   \n",
       "Noel, Eric (SCI)                    0.000000\n",
       "Nitzkin, Aaron (ENGL)               0.000000\n",
       "nirmal, jhon (AERO)                 0.000000\n",
       "Ninh, Thien-Huong (HUM)             0.000000\n",
       "Niner, Carolyn (BUS)                0.000000\n",
       "Niku, Shoreh (FSN)                  0.000000\n",
       "Niku, Saeed (ME)                    0.000000\n",
       "Niebuhr, David (MATE)               0.000000\n",
       "Nico, Phillip (CSC)                 0.000000\n",
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     "execution_count": 103,
     "metadata": {},
     "output_type": "execute_result"
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       "Name: McCleskey, Patrick (IT), dtype: float64"
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     "execution_count": 105,
     "metadata": {},
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       "      <th>Adams, Nikki (BIO)</th>\n",
       "      <td>2.78</td>\n",
       "      <td>0.200000</td>\n",
       "      <td>0.200000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.400000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Adan, Elizabeth (ART)</th>\n",
       "      <td>3.56</td>\n",
       "      <td>0.181818</td>\n",
       "      <td>0.090909</td>\n",
       "      <td>0.272727</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.181818</td>\n",
       "      <td>0.272727</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Agalos, Pete (ASCI)</th>\n",
       "      <td>3.38</td>\n",
       "      <td>0.111111</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.111111</td>\n",
       "      <td>0.222222</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.111111</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.222222</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Agbo, Samuel (EE)</th>\n",
       "      <td>1.26</td>\n",
       "      <td>0.136364</td>\n",
       "      <td>0.090909</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.318182</td>\n",
       "      <td>0.136364</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.045455</td>\n",
       "      <td>...</td>\n",
       "      <td>0.090909</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.045455</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Agrawal, Mohan (BUS)</th>\n",
       "      <td>2.81</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.454545</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.272727</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.090909</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Agronsky, Steve (MATH)</th>\n",
       "      <td>3.71</td>\n",
       "      <td>0.321429</td>\n",
       "      <td>0.178571</td>\n",
       "      <td>0.071429</td>\n",
       "      <td>0.214286</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.035714</td>\n",
       "      <td>0.035714</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.035714</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Aguayo-Vazquez, Jennifer (MATH)</th>\n",
       "      <td>3.63</td>\n",
       "      <td>0.666667</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.333333</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Aguilera, Javier (CHEM)</th>\n",
       "      <td>0.26</td>\n",
       "      <td>0.161290</td>\n",
       "      <td>0.096774</td>\n",
       "      <td>0.096774</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.064516</td>\n",
       "      <td>0.193548</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.032258</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.032258</td>\n",
       "      <td>0.032258</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Ahern, James (AGB)</th>\n",
       "      <td>1.24</td>\n",
       "      <td>0.222222</td>\n",
       "      <td>0.111111</td>\n",
       "      <td>0.222222</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.111111</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.111111</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.111111</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Ahler, Michael (CHEM)</th>\n",
       "      <td>1.50</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Ahlgren, William L. (EE)</th>\n",
       "      <td>2.04</td>\n",
       "      <td>0.111111</td>\n",
       "      <td>0.111111</td>\n",
       "      <td>0.166667</td>\n",
       "      <td>0.055556</td>\n",
       "      <td>0.111111</td>\n",
       "      <td>0.111111</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Ahmed, Deif (AERO)</th>\n",
       "      <td>2.38</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Ajaib, Muhammad Adeel (PHYS)</th>\n",
       "      <td>2.75</td>\n",
       "      <td>0.200000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.200000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.200000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Alaniz, Ryan (SOC)</th>\n",
       "      <td>3.30</td>\n",
       "      <td>0.105263</td>\n",
       "      <td>0.210526</td>\n",
       "      <td>0.368421</td>\n",
       "      <td>0.052632</td>\n",
       "      <td>0.052632</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.105263</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.052632</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Alexander, Benjamin (BUS)</th>\n",
       "      <td>2.17</td>\n",
       "      <td>0.466667</td>\n",
       "      <td>0.066667</td>\n",
       "      <td>0.066667</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.266667</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Alexander, Charlotte (JOUR)</th>\n",
       "      <td>1.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Alexander, Dekhtyar (CSC)</th>\n",
       "      <td>1.80</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.333333</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Algert, Susan (FSN)</th>\n",
       "      <td>2.50</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Allebe, Adrienne (ART)</th>\n",
       "      <td>2.50</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Allen, Regulus (ENGL)</th>\n",
       "      <td>1.98</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.285714</td>\n",
       "      <td>0.142857</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.142857</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.142857</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.142857</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Allen, Teresa (JOUR)</th>\n",
       "      <td>3.42</td>\n",
       "      <td>0.400000</td>\n",
       "      <td>0.200000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.200000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.200000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>York, Jonathan (BUS)</th>\n",
       "      <td>3.20</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Yoshimura, Michael (BIO)</th>\n",
       "      <td>2.91</td>\n",
       "      <td>0.666667</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.333333</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Yoshinobu, Stan Taira (MATH)</th>\n",
       "      <td>3.50</td>\n",
       "      <td>0.333333</td>\n",
       "      <td>0.333333</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.333333</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Yost, Jenn (BIO)</th>\n",
       "      <td>3.94</td>\n",
       "      <td>0.178571</td>\n",
       "      <td>0.035714</td>\n",
       "      <td>0.035714</td>\n",
       "      <td>0.035714</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.035714</td>\n",
       "      <td>0.142857</td>\n",
       "      <td>0.214286</td>\n",
       "      <td>0.142857</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.035714</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Young, Arthur (BUS)</th>\n",
       "      <td>3.91</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.400000</td>\n",
       "      <td>0.200000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.200000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Yu, Mei (EE)</th>\n",
       "      <td>2.40</td>\n",
       "      <td>0.800000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.200000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Yu, Xiao-Hua (EE)</th>\n",
       "      <td>2.19</td>\n",
       "      <td>0.500000</td>\n",
       "      <td>0.071429</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.071429</td>\n",
       "      <td>0.071429</td>\n",
       "      <td>0.214286</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.071429</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Yun, David (NRM)</th>\n",
       "      <td>3.00</td>\n",
       "      <td>0.200000</td>\n",
       "      <td>0.200000</td>\n",
       "      <td>0.200000</td>\n",
       "      <td>0.200000</td>\n",
       "      <td>0.200000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Zacarias, Hilda (BUS)</th>\n",
       "      <td>1.86</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Zahn, Jan (ENGL)</th>\n",
       "      <td>3.71</td>\n",
       "      <td>0.416667</td>\n",
       "      <td>0.083333</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.166667</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.083333</td>\n",
       "      <td>0.083333</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Zahra, Alghoul (CHEM)</th>\n",
       "      <td>3.17</td>\n",
       "      <td>0.176471</td>\n",
       "      <td>0.058824</td>\n",
       "      <td>0.235294</td>\n",
       "      <td>0.058824</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Zambrano, Eduardo (ECON)</th>\n",
       "      <td>2.95</td>\n",
       "      <td>0.083333</td>\n",
       "      <td>0.166667</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.333333</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.083333</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.083333</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.083333</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Zammit, Ronald (PHYS)</th>\n",
       "      <td>2.92</td>\n",
       "      <td>0.500000</td>\n",
       "      <td>0.045455</td>\n",
       "      <td>0.090909</td>\n",
       "      <td>0.045455</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.045455</td>\n",
       "      <td>0.045455</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.045455</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Zarowitz, Michael (BIO)</th>\n",
       "      <td>3.11</td>\n",
       "      <td>0.250000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.125000</td>\n",
       "      <td>0.125000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.125000</td>\n",
       "      <td>0.250000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Zatzick, Chris (BUS)</th>\n",
       "      <td>3.14</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.333333</td>\n",
       "      <td>0.666667</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Zeng, Wei (MATH)</th>\n",
       "      <td>2.33</td>\n",
       "      <td>0.500000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.500000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Zetzsche, James (BRAE)</th>\n",
       "      <td>3.27</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.333333</td>\n",
       "      <td>0.666667</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Zeuschner, Raymond (COMS)</th>\n",
       "      <td>3.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.166667</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.333333</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.166667</td>\n",
       "      <td>0.166667</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.166667</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Zhang, Jane (EE)</th>\n",
       "      <td>2.20</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.500000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Zhang, Jinsong (CHEM)</th>\n",
       "      <td>2.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Zhang, Ning (POLS)</th>\n",
       "      <td>2.57</td>\n",
       "      <td>0.200000</td>\n",
       "      <td>0.100000</td>\n",
       "      <td>0.100000</td>\n",
       "      <td>0.100000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.100000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Zhang, Shanju (CHEM)</th>\n",
       "      <td>2.96</td>\n",
       "      <td>0.250000</td>\n",
       "      <td>0.166667</td>\n",
       "      <td>0.166667</td>\n",
       "      <td>0.250000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.083333</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Zhang, Xiaozheng (EE)</th>\n",
       "      <td>2.69</td>\n",
       "      <td>0.333333</td>\n",
       "      <td>0.222222</td>\n",
       "      <td>0.111111</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.111111</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Zinn, Jesse (ECON)</th>\n",
       "      <td>1.18</td>\n",
       "      <td>0.500000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.500000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Zohns, Mark (BRAE)</th>\n",
       "      <td>4.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.500000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Zohns, Michael (EHS)</th>\n",
       "      <td>3.88</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.666667</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Zoller, David (PHIL)</th>\n",
       "      <td>3.00</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Zulfacar, Maliha (SOC)</th>\n",
       "      <td>1.99</td>\n",
       "      <td>0.043478</td>\n",
       "      <td>0.260870</td>\n",
       "      <td>0.086957</td>\n",
       "      <td>0.173913</td>\n",
       "      <td>0.043478</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.043478</td>\n",
       "      <td>0.043478</td>\n",
       "      <td>0.086957</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.043478</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Zumwalt, Marta (CHEM)</th>\n",
       "      <td>2.77</td>\n",
       "      <td>0.500000</td>\n",
       "      <td>0.250000</td>\n",
       "      <td>0.250000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Zweifel, Dick (ARCH)</th>\n",
       "      <td>1.63</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2468 rows × 29 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                 agg_rating   helpful     clear      kind  \\\n",
       "name_class                                                                  \n",
       "Abel, Christina (CHEM)                 3.22  0.428571  0.095238  0.095238   \n",
       "Aberbromby, Kira (AERO)                3.34  0.272727  0.000000  0.090909   \n",
       "Abitia, Fred (IT)                      3.61  0.000000  0.000000  0.000000   \n",
       "Abler, Fred (ARCH)                     1.67  0.000000  0.000000  0.000000   \n",
       "Abney, Keith (PHIL)                    2.29  0.130435  0.130435  0.217391   \n",
       "Abney, Ray (ENGL)                      2.23  0.000000  0.500000  0.500000   \n",
       "Abshire, Franklin (MATH)               2.33  0.000000  0.000000  0.000000   \n",
       "Acosta, Kellie (BIO)                   3.00  0.000000  0.250000  0.000000   \n",
       "Adam, Sandra (AGB)                     2.63  1.000000  0.000000  0.000000   \n",
       "Adams, Nikki (BIO)                     2.78  0.200000  0.200000  0.000000   \n",
       "Adan, Elizabeth (ART)                  3.56  0.181818  0.090909  0.272727   \n",
       "Agalos, Pete (ASCI)                    3.38  0.111111  0.000000  0.111111   \n",
       "Agbo, Samuel (EE)                      1.26  0.136364  0.090909  0.000000   \n",
       "Agrawal, Mohan (BUS)                   2.81  0.000000  0.454545  0.000000   \n",
       "Agronsky, Steve (MATH)                 3.71  0.321429  0.178571  0.071429   \n",
       "Aguayo-Vazquez, Jennifer (MATH)        3.63  0.666667  0.000000  0.000000   \n",
       "Aguilera, Javier (CHEM)                0.26  0.161290  0.096774  0.096774   \n",
       "Ahern, James (AGB)                     1.24  0.222222  0.111111  0.222222   \n",
       "Ahler, Michael (CHEM)                  1.50  0.000000  0.000000  0.000000   \n",
       "Ahlgren, William L. (EE)               2.04  0.111111  0.111111  0.166667   \n",
       "Ahmed, Deif (AERO)                     2.38  0.000000  0.000000  0.000000   \n",
       "Ajaib, Muhammad Adeel (PHYS)           2.75  0.200000  0.000000  0.200000   \n",
       "Alaniz, Ryan (SOC)                     3.30  0.105263  0.210526  0.368421   \n",
       "Alexander, Benjamin (BUS)              2.17  0.466667  0.066667  0.066667   \n",
       "Alexander, Charlotte (JOUR)            1.00  0.000000  0.000000  0.000000   \n",
       "Alexander, Dekhtyar (CSC)              1.80  0.000000  0.000000  0.000000   \n",
       "Algert, Susan (FSN)                    2.50  1.000000  0.000000  0.000000   \n",
       "Allebe, Adrienne (ART)                 2.50  0.000000  0.000000  0.000000   \n",
       "Allen, Regulus (ENGL)                  1.98  0.000000  0.285714  0.142857   \n",
       "Allen, Teresa (JOUR)                   3.42  0.400000  0.200000  0.000000   \n",
       "...                                     ...       ...       ...       ...   \n",
       "York, Jonathan (BUS)                   3.20  0.000000  0.000000  0.000000   \n",
       "Yoshimura, Michael (BIO)               2.91  0.666667  0.000000  0.000000   \n",
       "Yoshinobu, Stan Taira (MATH)           3.50  0.333333  0.333333  0.000000   \n",
       "Yost, Jenn (BIO)                       3.94  0.178571  0.035714  0.035714   \n",
       "Young, Arthur (BUS)                    3.91  0.000000  0.000000  0.400000   \n",
       "Yu, Mei (EE)                           2.40  0.800000  0.000000  0.000000   \n",
       "Yu, Xiao-Hua (EE)                      2.19  0.500000  0.071429  0.000000   \n",
       "Yun, David (NRM)                       3.00  0.200000  0.200000  0.200000   \n",
       "Zacarias, Hilda (BUS)                  1.86  1.000000  0.000000  0.000000   \n",
       "Zahn, Jan (ENGL)                       3.71  0.416667  0.083333  0.000000   \n",
       "Zahra, Alghoul (CHEM)                  3.17  0.176471  0.058824  0.235294   \n",
       "Zambrano, Eduardo (ECON)               2.95  0.083333  0.166667  0.000000   \n",
       "Zammit, Ronald (PHYS)                  2.92  0.500000  0.045455  0.090909   \n",
       "Zarowitz, Michael (BIO)                3.11  0.250000  0.000000  0.125000   \n",
       "Zatzick, Chris (BUS)                   3.14  0.000000  0.333333  0.666667   \n",
       "Zeng, Wei (MATH)                       2.33  0.500000  0.000000  0.500000   \n",
       "Zetzsche, James (BRAE)                 3.27  0.000000  0.000000  0.333333   \n",
       "Zeuschner, Raymond (COMS)              3.00  0.000000  0.166667  0.000000   \n",
       "Zhang, Jane (EE)                       2.20  0.000000  0.000000  0.500000   \n",
       "Zhang, Jinsong (CHEM)                  2.00  0.000000  0.000000  0.000000   \n",
       "Zhang, Ning (POLS)                     2.57  0.200000  0.100000  0.100000   \n",
       "Zhang, Shanju (CHEM)                   2.96  0.250000  0.166667  0.166667   \n",
       "Zhang, Xiaozheng (EE)                  2.69  0.333333  0.222222  0.111111   \n",
       "Zinn, Jesse (ECON)                     1.18  0.500000  0.000000  0.500000   \n",
       "Zohns, Mark (BRAE)                     4.00  0.000000  0.000000  0.000000   \n",
       "Zohns, Michael (EHS)                   3.88  0.000000  0.000000  0.000000   \n",
       "Zoller, David (PHIL)                   3.00  1.000000  0.000000  0.000000   \n",
       "Zulfacar, Maliha (SOC)                 1.99  0.043478  0.260870  0.086957   \n",
       "Zumwalt, Marta (CHEM)                  2.77  0.500000  0.250000  0.250000   \n",
       "Zweifel, Dick (ARCH)                   1.63  0.000000  0.000000  1.000000   \n",
       "\n",
       "                                    funny  terrible  confused     happy  \\\n",
       "name_class                                                                \n",
       "Abel, Christina (CHEM)           0.000000  0.047619  0.047619  0.095238   \n",
       "Aberbromby, Kira (AERO)          0.090909  0.090909  0.000000  0.090909   \n",
       "Abitia, Fred (IT)                0.000000  0.000000  0.000000  1.000000   \n",
       "Abler, Fred (ARCH)               0.000000  0.000000  0.000000  0.000000   \n",
       "Abney, Keith (PHIL)              0.086957  0.173913  0.000000  0.000000   \n",
       "Abney, Ray (ENGL)                0.000000  0.000000  0.000000  0.000000   \n",
       "Abshire, Franklin (MATH)         0.000000  0.000000  0.000000  0.000000   \n",
       "Acosta, Kellie (BIO)             0.000000  0.000000  0.000000  0.000000   \n",
       "Adam, Sandra (AGB)               0.000000  0.000000  0.000000  0.000000   \n",
       "Adams, Nikki (BIO)               0.000000  0.000000  0.000000  0.000000   \n",
       "Adan, Elizabeth (ART)            0.000000  0.000000  0.000000  0.000000   \n",
       "Agalos, Pete (ASCI)              0.222222  0.000000  0.000000  0.111111   \n",
       "Agbo, Samuel (EE)                0.000000  0.318182  0.136364  0.000000   \n",
       "Agrawal, Mohan (BUS)             0.272727  0.000000  0.000000  0.000000   \n",
       "Agronsky, Steve (MATH)           0.214286  0.000000  0.035714  0.035714   \n",
       "Aguayo-Vazquez, Jennifer (MATH)  0.000000  0.000000  0.333333  0.000000   \n",
       "Aguilera, Javier (CHEM)          0.000000  0.064516  0.193548  0.000000   \n",
       "Ahern, James (AGB)               0.000000  0.111111  0.000000  0.000000   \n",
       "Ahler, Michael (CHEM)            0.000000  0.000000  0.000000  0.000000   \n",
       "Ahlgren, William L. (EE)         0.055556  0.111111  0.111111  0.000000   \n",
       "Ahmed, Deif (AERO)               0.000000  0.000000  0.000000  0.000000   \n",
       "Ajaib, Muhammad Adeel (PHYS)     0.000000  0.000000  0.000000  0.000000   \n",
       "Alaniz, Ryan (SOC)               0.052632  0.052632  0.000000  0.105263   \n",
       "Alexander, Benjamin (BUS)        0.000000  0.000000  0.266667  0.000000   \n",
       "Alexander, Charlotte (JOUR)      1.000000  0.000000  0.000000  0.000000   \n",
       "Alexander, Dekhtyar (CSC)        0.333333  0.000000  0.000000  0.000000   \n",
       "Algert, Susan (FSN)              0.000000  0.000000  0.000000  0.000000   \n",
       "Allebe, Adrienne (ART)           0.000000  0.000000  0.000000  0.000000   \n",
       "Allen, Regulus (ENGL)            0.000000  0.000000  0.142857  0.000000   \n",
       "Allen, Teresa (JOUR)             0.000000  0.000000  0.000000  0.200000   \n",
       "...                                   ...       ...       ...       ...   \n",
       "York, Jonathan (BUS)             0.000000  0.000000  0.000000  0.000000   \n",
       "Yoshimura, Michael (BIO)         0.333333  0.000000  0.000000  0.000000   \n",
       "Yoshinobu, Stan Taira (MATH)     0.000000  0.000000  0.000000  0.000000   \n",
       "Yost, Jenn (BIO)                 0.035714  0.000000  0.035714  0.142857   \n",
       "Young, Arthur (BUS)              0.200000  0.000000  0.000000  0.000000   \n",
       "Yu, Mei (EE)                     0.000000  0.000000  0.200000  0.000000   \n",
       "Yu, Xiao-Hua (EE)                0.071429  0.071429  0.214286  0.000000   \n",
       "Yun, David (NRM)                 0.200000  0.200000  0.000000  0.000000   \n",
       "Zacarias, Hilda (BUS)            0.000000  0.000000  0.000000  0.000000   \n",
       "Zahn, Jan (ENGL)                 0.166667  0.000000  0.000000  0.000000   \n",
       "Zahra, Alghoul (CHEM)            0.058824  0.000000  0.000000  0.000000   \n",
       "Zambrano, Eduardo (ECON)         0.333333  0.000000  0.000000  0.083333   \n",
       "Zammit, Ronald (PHYS)            0.045455  0.000000  0.045455  0.045455   \n",
       "Zarowitz, Michael (BIO)          0.125000  0.000000  0.125000  0.250000   \n",
       "Zatzick, Chris (BUS)             0.000000  0.000000  0.000000  0.000000   \n",
       "Zeng, Wei (MATH)                 0.000000  0.000000  0.000000  0.000000   \n",
       "Zetzsche, James (BRAE)           0.666667  0.000000  0.000000  0.000000   \n",
       "Zeuschner, Raymond (COMS)        0.333333  0.000000  0.000000  0.000000   \n",
       "Zhang, Jane (EE)                 0.000000  0.000000  0.000000  0.000000   \n",
       "Zhang, Jinsong (CHEM)            0.000000  0.000000  0.000000  0.000000   \n",
       "Zhang, Ning (POLS)               0.100000  0.000000  0.100000  0.000000   \n",
       "Zhang, Shanju (CHEM)             0.250000  0.000000  0.000000  0.000000   \n",
       "Zhang, Xiaozheng (EE)            0.000000  0.000000  0.111111  0.000000   \n",
       "Zinn, Jesse (ECON)               0.000000  0.000000  0.000000  0.000000   \n",
       "Zohns, Mark (BRAE)               0.500000  0.000000  0.000000  0.000000   \n",
       "Zohns, Michael (EHS)             0.666667  0.000000  0.000000  0.000000   \n",
       "Zoller, David (PHIL)             0.000000  0.000000  0.000000  0.000000   \n",
       "Zulfacar, Maliha (SOC)           0.173913  0.043478  0.000000  0.043478   \n",
       "Zumwalt, Marta (CHEM)            0.000000  0.000000  0.000000  0.000000   \n",
       "Zweifel, Dick (ARCH)             0.000000  0.000000  0.000000  0.000000   \n",
       "\n",
       "                                 enthusiastic   excited    ...        bored  \\\n",
       "name_class                                                 ...                \n",
       "Abel, Christina (CHEM)               0.047619  0.000000    ...     0.000000   \n",
       "Aberbromby, Kira (AERO)              0.000000  0.000000    ...     0.000000   \n",
       "Abitia, Fred (IT)                    0.000000  0.000000    ...     0.000000   \n",
       "Abler, Fred (ARCH)                   0.000000  0.000000    ...     0.000000   \n",
       "Abney, Keith (PHIL)                  0.000000  0.043478    ...     0.000000   \n",
       "Abney, Ray (ENGL)                    0.000000  0.000000    ...     0.000000   \n",
       "Abshire, Franklin (MATH)             0.000000  0.000000    ...     0.000000   \n",
       "Acosta, Kellie (BIO)                 0.000000  0.500000    ...     0.000000   \n",
       "Adam, Sandra (AGB)                   0.000000  0.000000    ...     0.000000   \n",
       "Adams, Nikki (BIO)                   0.400000  0.000000    ...     0.000000   \n",
       "Adan, Elizabeth (ART)                0.181818  0.272727    ...     0.000000   \n",
       "Agalos, Pete (ASCI)                  0.000000  0.000000    ...     0.000000   \n",
       "Agbo, Samuel (EE)                    0.000000  0.045455    ...     0.090909   \n",
       "Agrawal, Mohan (BUS)                 0.000000  0.000000    ...     0.000000   \n",
       "Agronsky, Steve (MATH)               0.000000  0.035714    ...     0.000000   \n",
       "Aguayo-Vazquez, Jennifer (MATH)      0.000000  0.000000    ...     0.000000   \n",
       "Aguilera, Javier (CHEM)              0.000000  0.000000    ...     0.000000   \n",
       "Ahern, James (AGB)                   0.000000  0.000000    ...     0.000000   \n",
       "Ahler, Michael (CHEM)                0.000000  0.000000    ...     0.000000   \n",
       "Ahlgren, William L. (EE)             0.000000  0.000000    ...     0.000000   \n",
       "Ahmed, Deif (AERO)                   0.000000  0.000000    ...     0.000000   \n",
       "Ajaib, Muhammad Adeel (PHYS)         0.000000  0.000000    ...     0.000000   \n",
       "Alaniz, Ryan (SOC)                   0.000000  0.000000    ...     0.052632   \n",
       "Alexander, Benjamin (BUS)            0.000000  0.000000    ...     0.000000   \n",
       "Alexander, Charlotte (JOUR)          0.000000  0.000000    ...     0.000000   \n",
       "Alexander, Dekhtyar (CSC)            0.000000  0.000000    ...     0.000000   \n",
       "Algert, Susan (FSN)                  0.000000  0.000000    ...     0.000000   \n",
       "Allebe, Adrienne (ART)               0.000000  0.000000    ...     0.000000   \n",
       "Allen, Regulus (ENGL)                0.142857  0.000000    ...     0.000000   \n",
       "Allen, Teresa (JOUR)                 0.000000  0.200000    ...     0.000000   \n",
       "...                                       ...       ...    ...          ...   \n",
       "York, Jonathan (BUS)                 0.000000  0.000000    ...     0.000000   \n",
       "Yoshimura, Michael (BIO)             0.000000  0.000000    ...     0.000000   \n",
       "Yoshinobu, Stan Taira (MATH)         0.000000  0.000000    ...     0.000000   \n",
       "Yost, Jenn (BIO)                     0.214286  0.142857    ...     0.000000   \n",
       "Young, Arthur (BUS)                  0.200000  0.000000    ...     0.000000   \n",
       "Yu, Mei (EE)                         0.000000  0.000000    ...     0.000000   \n",
       "Yu, Xiao-Hua (EE)                    0.000000  0.000000    ...     0.071429   \n",
       "Yun, David (NRM)                     0.000000  0.000000    ...     0.000000   \n",
       "Zacarias, Hilda (BUS)                0.000000  0.000000    ...     0.000000   \n",
       "Zahn, Jan (ENGL)                     0.000000  0.000000    ...     0.000000   \n",
       "Zahra, Alghoul (CHEM)                0.000000  0.000000    ...     0.000000   \n",
       "Zambrano, Eduardo (ECON)             0.000000  0.083333    ...     0.000000   \n",
       "Zammit, Ronald (PHYS)                0.000000  0.045455    ...     0.000000   \n",
       "Zarowitz, Michael (BIO)              0.000000  0.000000    ...     0.000000   \n",
       "Zatzick, Chris (BUS)                 0.000000  0.000000    ...     0.000000   \n",
       "Zeng, Wei (MATH)                     0.000000  0.000000    ...     0.000000   \n",
       "Zetzsche, James (BRAE)               0.000000  0.000000    ...     0.000000   \n",
       "Zeuschner, Raymond (COMS)            0.000000  0.000000    ...     0.000000   \n",
       "Zhang, Jane (EE)                     0.000000  0.000000    ...     0.000000   \n",
       "Zhang, Jinsong (CHEM)                0.000000  0.000000    ...     0.000000   \n",
       "Zhang, Ning (POLS)                   0.000000  0.000000    ...     0.000000   \n",
       "Zhang, Shanju (CHEM)                 0.083333  0.000000    ...     0.000000   \n",
       "Zhang, Xiaozheng (EE)                0.000000  0.000000    ...     0.000000   \n",
       "Zinn, Jesse (ECON)                   0.000000  0.000000    ...     0.000000   \n",
       "Zohns, Mark (BRAE)                   0.000000  0.000000    ...     0.000000   \n",
       "Zohns, Michael (EHS)                 0.000000  0.000000    ...     0.000000   \n",
       "Zoller, David (PHIL)                 0.000000  0.000000    ...     0.000000   \n",
       "Zulfacar, Maliha (SOC)               0.043478  0.086957    ...     0.000000   \n",
       "Zumwalt, Marta (CHEM)                0.000000  0.000000    ...     0.000000   \n",
       "Zweifel, Dick (ARCH)                 0.000000  0.000000    ...     0.000000   \n",
       "\n",
       "                                 energetic      dull       odd   strange  \\\n",
       "name_class                                                                 \n",
       "Abel, Christina (CHEM)            0.000000  0.000000  0.000000  0.000000   \n",
       "Aberbromby, Kira (AERO)           0.090909  0.000000  0.000000  0.000000   \n",
       "Abitia, Fred (IT)                 0.000000  0.000000  0.000000  0.000000   \n",
       "Abler, Fred (ARCH)                0.000000  0.000000  0.000000  0.000000   \n",
       "Abney, Keith (PHIL)               0.000000  0.000000  0.000000  0.043478   \n",
       "Abney, Ray (ENGL)                 0.000000  0.000000  0.000000  0.000000   \n",
       "Abshire, Franklin (MATH)          0.000000  0.000000  0.000000  0.000000   \n",
       "Acosta, Kellie (BIO)              0.000000  0.000000  0.000000  0.000000   \n",
       "Adam, Sandra (AGB)                0.000000  0.000000  0.000000  0.000000   \n",
       "Adams, Nikki (BIO)                0.000000  0.000000  0.000000  0.000000   \n",
       "Adan, Elizabeth (ART)             0.000000  0.000000  0.000000  0.000000   \n",
       "Agalos, Pete (ASCI)               0.000000  0.000000  0.000000  0.000000   \n",
       "Agbo, Samuel (EE)                 0.000000  0.000000  0.045455  0.000000   \n",
       "Agrawal, Mohan (BUS)              0.000000  0.000000  0.090909  0.000000   \n",
       "Agronsky, Steve (MATH)            0.000000  0.000000  0.000000  0.000000   \n",
       "Aguayo-Vazquez, Jennifer (MATH)   0.000000  0.000000  0.000000  0.000000   \n",
       "Aguilera, Javier (CHEM)           0.000000  0.032258  0.000000  0.000000   \n",
       "Ahern, James (AGB)                0.000000  0.111111  0.000000  0.111111   \n",
       "Ahler, Michael (CHEM)             0.000000  0.000000  0.000000  0.000000   \n",
       "Ahlgren, William L. (EE)          0.000000  0.000000  0.000000  0.000000   \n",
       "Ahmed, Deif (AERO)                0.000000  0.000000  0.000000  0.000000   \n",
       "Ajaib, Muhammad Adeel (PHYS)      0.200000  0.000000  0.000000  0.000000   \n",
       "Alaniz, Ryan (SOC)                0.000000  0.000000  0.000000  0.000000   \n",
       "Alexander, Benjamin (BUS)         0.000000  0.000000  0.000000  0.000000   \n",
       "Alexander, Charlotte (JOUR)       0.000000  0.000000  0.000000  0.000000   \n",
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       "Algert, Susan (FSN)               0.000000  0.000000  0.000000  0.000000   \n",
       "Allebe, Adrienne (ART)            0.000000  0.000000  0.000000  0.000000   \n",
       "Allen, Regulus (ENGL)             0.000000  0.142857  0.000000  0.000000   \n",
       "Allen, Teresa (JOUR)              0.000000  0.000000  0.000000  0.000000   \n",
       "...                                    ...       ...       ...       ...   \n",
       "York, Jonathan (BUS)              0.000000  0.000000  0.000000  0.000000   \n",
       "Yoshimura, Michael (BIO)          0.000000  0.000000  0.000000  0.000000   \n",
       "Yoshinobu, Stan Taira (MATH)      0.000000  0.000000  0.333333  0.000000   \n",
       "Yost, Jenn (BIO)                  0.000000  0.000000  0.035714  0.000000   \n",
       "Young, Arthur (BUS)               0.000000  0.000000  0.000000  0.000000   \n",
       "Yu, Mei (EE)                      0.000000  0.000000  0.000000  0.000000   \n",
       "Yu, Xiao-Hua (EE)                 0.000000  0.000000  0.000000  0.000000   \n",
       "Yun, David (NRM)                  0.000000  0.000000  0.000000  0.000000   \n",
       "Zacarias, Hilda (BUS)             0.000000  0.000000  0.000000  0.000000   \n",
       "Zahn, Jan (ENGL)                  0.083333  0.083333  0.000000  0.000000   \n",
       "Zahra, Alghoul (CHEM)             0.000000  0.000000  0.000000  0.000000   \n",
       "Zambrano, Eduardo (ECON)          0.000000  0.000000  0.000000  0.000000   \n",
       "Zammit, Ronald (PHYS)             0.000000  0.000000  0.000000  0.000000   \n",
       "Zarowitz, Michael (BIO)           0.000000  0.000000  0.000000  0.000000   \n",
       "Zatzick, Chris (BUS)              0.000000  0.000000  0.000000  0.000000   \n",
       "Zeng, Wei (MATH)                  0.000000  0.000000  0.000000  0.000000   \n",
       "Zetzsche, James (BRAE)            0.000000  0.000000  0.000000  0.000000   \n",
       "Zeuschner, Raymond (COMS)         0.166667  0.166667  0.000000  0.000000   \n",
       "Zhang, Jane (EE)                  0.000000  0.000000  0.000000  0.000000   \n",
       "Zhang, Jinsong (CHEM)             0.000000  0.000000  0.000000  0.000000   \n",
       "Zhang, Ning (POLS)                0.000000  0.000000  0.000000  0.000000   \n",
       "Zhang, Shanju (CHEM)              0.000000  0.000000  0.000000  0.000000   \n",
       "Zhang, Xiaozheng (EE)             0.000000  0.000000  0.000000  0.000000   \n",
       "Zinn, Jesse (ECON)                0.000000  0.000000  0.000000  0.000000   \n",
       "Zohns, Mark (BRAE)                0.000000  0.000000  0.000000  0.000000   \n",
       "Zohns, Michael (EHS)              0.000000  0.000000  0.000000  0.000000   \n",
       "Zoller, David (PHIL)              0.000000  0.000000  0.000000  0.000000   \n",
       "Zulfacar, Maliha (SOC)            0.000000  0.043478  0.000000  0.000000   \n",
       "Zumwalt, Marta (CHEM)             0.000000  0.000000  0.000000  0.000000   \n",
       "Zweifel, Dick (ARCH)              0.000000  0.000000  0.000000  0.000000   \n",
       "\n",
       "                                 sarcastic  pleasant  witty  pompous    creepy  \n",
       "name_class                                                                      \n",
       "Abel, Christina (CHEM)            0.000000  0.000000    0.0      0.0  0.000000  \n",
       "Aberbromby, Kira (AERO)           0.000000  0.000000    0.0      0.0  0.000000  \n",
       "Abitia, Fred (IT)                 0.000000  0.000000    0.0      0.0  0.000000  \n",
       "Abler, Fred (ARCH)                0.000000  0.000000    0.0      0.0  0.000000  \n",
       "Abney, Keith (PHIL)               0.000000  0.043478    0.0      0.0  0.043478  \n",
       "Abney, Ray (ENGL)                 0.000000  0.000000    0.0      0.0  0.000000  \n",
       "Abshire, Franklin (MATH)          0.000000  0.000000    0.0      0.0  0.000000  \n",
       "Acosta, Kellie (BIO)              0.000000  0.000000    0.0      0.0  0.000000  \n",
       "Adam, Sandra (AGB)                0.000000  0.000000    0.0      0.0  0.000000  \n",
       "Adams, Nikki (BIO)                0.000000  0.000000    0.0      0.0  0.000000  \n",
       "Adan, Elizabeth (ART)             0.000000  0.000000    0.0      0.0  0.000000  \n",
       "Agalos, Pete (ASCI)               0.222222  0.000000    0.0      0.0  0.000000  \n",
       "Agbo, Samuel (EE)                 0.000000  0.000000    0.0      0.0  0.000000  \n",
       "Agrawal, Mohan (BUS)              0.000000  0.000000    0.0      0.0  0.000000  \n",
       "Agronsky, Steve (MATH)            0.000000  0.000000    0.0      0.0  0.000000  \n",
       "Aguayo-Vazquez, Jennifer (MATH)   0.000000  0.000000    0.0      0.0  0.000000  \n",
       "Aguilera, Javier (CHEM)           0.032258  0.032258    0.0      0.0  0.000000  \n",
       "Ahern, James (AGB)                0.000000  0.000000    0.0      0.0  0.000000  \n",
       "Ahler, Michael (CHEM)             0.000000  0.000000    0.0      0.0  0.000000  \n",
       "Ahlgren, William L. (EE)          0.000000  0.000000    0.0      0.0  0.000000  \n",
       "Ahmed, Deif (AERO)                0.000000  0.000000    0.0      0.0  0.000000  \n",
       "Ajaib, Muhammad Adeel (PHYS)      0.000000  0.000000    0.0      0.0  0.000000  \n",
       "Alaniz, Ryan (SOC)                0.000000  0.000000    0.0      0.0  0.000000  \n",
       "Alexander, Benjamin (BUS)         0.000000  0.000000    0.0      0.0  0.000000  \n",
       "Alexander, Charlotte (JOUR)       0.000000  0.000000    0.0      0.0  0.000000  \n",
       "Alexander, Dekhtyar (CSC)         0.000000  0.000000    0.0      0.0  0.000000  \n",
       "Algert, Susan (FSN)               0.000000  0.000000    0.0      0.0  0.000000  \n",
       "Allebe, Adrienne (ART)            0.000000  0.000000    0.0      0.0  0.000000  \n",
       "Allen, Regulus (ENGL)             0.000000  0.000000    0.0      0.0  0.000000  \n",
       "Allen, Teresa (JOUR)              0.000000  0.000000    0.0      0.0  0.000000  \n",
       "...                                    ...       ...    ...      ...       ...  \n",
       "York, Jonathan (BUS)              0.000000  0.000000    0.0      0.0  0.000000  \n",
       "Yoshimura, Michael (BIO)          0.000000  0.000000    0.0      0.0  0.000000  \n",
       "Yoshinobu, Stan Taira (MATH)      0.000000  0.000000    0.0      0.0  0.000000  \n",
       "Yost, Jenn (BIO)                  0.000000  0.000000    0.0      0.0  0.000000  \n",
       "Young, Arthur (BUS)               0.000000  0.000000    0.0      0.0  0.000000  \n",
       "Yu, Mei (EE)                      0.000000  0.000000    0.0      0.0  0.000000  \n",
       "Yu, Xiao-Hua (EE)                 0.000000  0.000000    0.0      0.0  0.000000  \n",
       "Yun, David (NRM)                  0.000000  0.000000    0.0      0.0  0.000000  \n",
       "Zacarias, Hilda (BUS)             0.000000  0.000000    0.0      0.0  0.000000  \n",
       "Zahn, Jan (ENGL)                  0.000000  0.000000    0.0      0.0  0.000000  \n",
       "Zahra, Alghoul (CHEM)             0.000000  0.000000    0.0      0.0  0.000000  \n",
       "Zambrano, Eduardo (ECON)          0.083333  0.000000    0.0      0.0  0.000000  \n",
       "Zammit, Ronald (PHYS)             0.000000  0.000000    0.0      0.0  0.000000  \n",
       "Zarowitz, Michael (BIO)           0.000000  0.000000    0.0      0.0  0.000000  \n",
       "Zatzick, Chris (BUS)              0.000000  0.000000    0.0      0.0  0.000000  \n",
       "Zeng, Wei (MATH)                  0.000000  0.000000    0.0      0.0  0.000000  \n",
       "Zetzsche, James (BRAE)            0.000000  0.000000    0.0      0.0  0.000000  \n",
       "Zeuschner, Raymond (COMS)         0.166667  0.000000    0.0      0.0  0.000000  \n",
       "Zhang, Jane (EE)                  0.000000  0.000000    0.0      0.0  0.000000  \n",
       "Zhang, Jinsong (CHEM)             0.000000  0.000000    0.0      0.0  0.000000  \n",
       "Zhang, Ning (POLS)                0.000000  0.000000    0.1      0.0  0.000000  \n",
       "Zhang, Shanju (CHEM)              0.000000  0.000000    0.0      0.0  0.000000  \n",
       "Zhang, Xiaozheng (EE)             0.000000  0.000000    0.0      0.0  0.000000  \n",
       "Zinn, Jesse (ECON)                0.000000  0.000000    0.0      0.0  0.000000  \n",
       "Zohns, Mark (BRAE)                0.000000  0.000000    0.0      0.0  0.000000  \n",
       "Zohns, Michael (EHS)              0.000000  0.000000    0.0      0.0  0.000000  \n",
       "Zoller, David (PHIL)              0.000000  0.000000    0.0      0.0  0.000000  \n",
       "Zulfacar, Maliha (SOC)            0.000000  0.000000    0.0      0.0  0.000000  \n",
       "Zumwalt, Marta (CHEM)             0.000000  0.000000    0.0      0.0  0.000000  \n",
       "Zweifel, Dick (ARCH)              0.000000  0.000000    0.0      0.0  0.000000  \n",
       "\n",
       "[2468 rows x 29 columns]"
      ]
     },
     "execution_count": 120,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
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