analytics_notebook.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# SMU BOSS Bid Price Analytics"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Import necessary libraries"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "from adjustText import adjust_text\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "from sklearn.linear_model import LinearRegression\n",
    "from sklearn.preprocessing import LabelEncoder\n",
    "import warnings\n",
    "from sklearn.exceptions import DataConversionWarning"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Data Preprocessing"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Unfiltered Number of rows: 147998\n",
      "Index(['Term', 'Session', 'Bidding Window', 'Course Code', 'Description',\n",
      "       'Section', 'Vacancy', 'Opening Vacancy', 'Before Process Vacancy',\n",
      "       'After Process Vacancy', 'Enrolled Students', 'Median Bid', 'Min Bid',\n",
      "       'Instructor', 'School/Department', 'round_successful_bids'],\n",
      "      dtype='object')\n"
     ]
    }
   ],
   "source": [
    "data = pd.read_excel(\"data/merged_file.xls\")\n",
    "print(f\"Unfiltered Number of rows: {data.shape[0]}\")\n",
    "\n",
    "# Handling missing data: Remove rows with \"Median Bid\" equal to 0 or empty \"Instructor\" column\n",
    "filtered_data = data.drop(data[(data[\"Median Bid\"] == 0) | (data[\"Instructor\"].fillna(\"\") == \"\") | (data[\"Session\"] != \"Regular Academic Session\")].index)\n",
    "filtered_data[\"round_successful_bids\"] = filtered_data[\"Before Process Vacancy\"] - filtered_data[\"After Process Vacancy\"]\n",
    "\n",
    "# Delete unnecessary columns\n",
    "cols_to_delete = [\"D.I.C.E\"]\n",
    "filtered_data.drop(columns=cols_to_delete, inplace=True)\n",
    "print(filtered_data.columns)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Filter Dataframe by Course Code"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Instructor Data Shape: (677, 16)\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Term</th>\n",
       "      <th>Session</th>\n",
       "      <th>Bidding Window</th>\n",
       "      <th>Course Code</th>\n",
       "      <th>Description</th>\n",
       "      <th>Section</th>\n",
       "      <th>Vacancy</th>\n",
       "      <th>Opening Vacancy</th>\n",
       "      <th>Before Process Vacancy</th>\n",
       "      <th>After Process Vacancy</th>\n",
       "      <th>Enrolled Students</th>\n",
       "      <th>Median Bid</th>\n",
       "      <th>Min Bid</th>\n",
       "      <th>Instructor</th>\n",
       "      <th>School/Department</th>\n",
       "      <th>round_successful_bids</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1222</th>\n",
       "      <td>2022-23 Term 1</td>\n",
       "      <td>Regular Academic Session</td>\n",
       "      <td>Round 2A Window 2</td>\n",
       "      <td>COR-MGMT1302</td>\n",
       "      <td>Business, Government and Society</td>\n",
       "      <td>G12</td>\n",
       "      <td>45.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>10.01</td>\n",
       "      <td>10.01</td>\n",
       "      <td>ER JWEE PING</td>\n",
       "      <td>LKCSOB</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2282</th>\n",
       "      <td>2022-23 Term 1</td>\n",
       "      <td>Regular Academic Session</td>\n",
       "      <td>Round 2A Window 1</td>\n",
       "      <td>COR-MGMT1302</td>\n",
       "      <td>Business, Government and Society</td>\n",
       "      <td>G2</td>\n",
       "      <td>45.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>30.00</td>\n",
       "      <td>30.00</td>\n",
       "      <td>GILBERT TAN YIP WEI</td>\n",
       "      <td>LKCSOB</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2287</th>\n",
       "      <td>2022-23 Term 1</td>\n",
       "      <td>Regular Academic Session</td>\n",
       "      <td>Round 2A Window 1</td>\n",
       "      <td>COR-MGMT1302</td>\n",
       "      <td>Business, Government and Society</td>\n",
       "      <td>G7</td>\n",
       "      <td>45.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>12.99</td>\n",
       "      <td>12.99</td>\n",
       "      <td>MOHAMED IRSHAD ABBAS ALI</td>\n",
       "      <td>LKCSOB</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3339</th>\n",
       "      <td>2022-23 Term 1</td>\n",
       "      <td>Regular Academic Session</td>\n",
       "      <td>Round 2 Window 3</td>\n",
       "      <td>COR-MGMT1302</td>\n",
       "      <td>Business, Government and Society</td>\n",
       "      <td>G13</td>\n",
       "      <td>45.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>27.00</td>\n",
       "      <td>27.00</td>\n",
       "      <td>ER JWEE PING</td>\n",
       "      <td>LKCSOB</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3346</th>\n",
       "      <td>2022-23 Term 1</td>\n",
       "      <td>Regular Academic Session</td>\n",
       "      <td>Round 2 Window 3</td>\n",
       "      <td>COR-MGMT1302</td>\n",
       "      <td>Business, Government and Society</td>\n",
       "      <td>G8</td>\n",
       "      <td>45.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>10.00</td>\n",
       "      <td>10.00</td>\n",
       "      <td>LOO KHEE SHENG</td>\n",
       "      <td>LKCSOB</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                Term                   Session     Bidding Window  \\\n",
       "1222  2022-23 Term 1  Regular Academic Session  Round 2A Window 2   \n",
       "2282  2022-23 Term 1  Regular Academic Session  Round 2A Window 1   \n",
       "2287  2022-23 Term 1  Regular Academic Session  Round 2A Window 1   \n",
       "3339  2022-23 Term 1  Regular Academic Session   Round 2 Window 3   \n",
       "3346  2022-23 Term 1  Regular Academic Session   Round 2 Window 3   \n",
       "\n",
       "       Course Code                       Description Section  Vacancy  \\\n",
       "1222  COR-MGMT1302  Business, Government and Society     G12     45.0   \n",
       "2282  COR-MGMT1302  Business, Government and Society      G2     45.0   \n",
       "2287  COR-MGMT1302  Business, Government and Society      G7     45.0   \n",
       "3339  COR-MGMT1302  Business, Government and Society     G13     45.0   \n",
       "3346  COR-MGMT1302  Business, Government and Society      G8     45.0   \n",
       "\n",
       "      Opening Vacancy  Before Process Vacancy  After Process Vacancy  \\\n",
       "1222             45.0                     1.0                    0.0   \n",
       "2282             45.0                     1.0                    0.0   \n",
       "2287             45.0                     1.0                    0.0   \n",
       "3339             45.0                     1.0                    0.0   \n",
       "3346             45.0                     1.0                    0.0   \n",
       "\n",
       "      Enrolled Students  Median Bid  Min Bid                 Instructor  \\\n",
       "1222               45.0       10.01    10.01               ER JWEE PING   \n",
       "2282               45.0       30.00    30.00        GILBERT TAN YIP WEI   \n",
       "2287               45.0       12.99    12.99   MOHAMED IRSHAD ABBAS ALI   \n",
       "3339               45.0       27.00    27.00               ER JWEE PING   \n",
       "3346               45.0       10.00    10.00             LOO KHEE SHENG   \n",
       "\n",
       "     School/Department  round_successful_bids  \n",
       "1222            LKCSOB                    1.0  \n",
       "2282            LKCSOB                    1.0  \n",
       "2287            LKCSOB                    1.0  \n",
       "3339            LKCSOB                    1.0  \n",
       "3346            LKCSOB                    1.0  "
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "course_code = \"COR-MGMT1302\"\n",
    "\n",
    "course_data = filtered_data[filtered_data[\"Course Code\"] == course_code]\n",
    "print(f\"Instructor Data Shape: {course_data.shape}\")\n",
    "course_data.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Explore Bid Price for the specified course code"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The min, max, median and mean values for ALL of COR-MGMT1302's median bid prices are (10.0, 90.0, 23.57, 25.6) respectively.\n"
     ]
    }
   ],
   "source": [
    "min_median_value = course_data[\"Median Bid\"].min()\n",
    "max_median_value = course_data[\"Median Bid\"].max()\n",
    "median_median_value = round(course_data[\"Median Bid\"].median(), 2)\n",
    "mean_median_value = round(course_data[\"Median Bid\"].mean(), 2)\n",
    "print(f\"The min, max, median and mean values for ALL of {course_code}'s median bid prices are {min_median_value, max_median_value, median_median_value, mean_median_value} respectively.\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Which Instructors teach the specified course?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Instructors that teach COR-MGMT1302: [' ER JWEE PING' ' GILBERT TAN YIP WEI' ' MOHAMED IRSHAD ABBAS ALI'\n",
      " ' LOO KHEE SHENG' ' FRANCIS PAVRI' ' ELIZABETH SU' ' CHAN KAY MIN'\n",
      " ' TAN WEE LIANG' ' RAJAH KUMAR']\n"
     ]
    }
   ],
   "source": [
    "unique_instructors = course_data[\"Instructor\"].unique()\n",
    "print(f\"Instructors that teach {course_code}: {unique_instructors}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Filter dataframe by Instructor"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Instructor Course Data Shape: (16, 16)\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/var/folders/5d/g79h1jpx12x13pg_j59hjc180000gn/T/ipykernel_89631/4066939842.py:4: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  course_data.loc[:, \"Instructor\"] = course_data[\"Instructor\"].str.strip()\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
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       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Term</th>\n",
       "      <th>Session</th>\n",
       "      <th>Bidding Window</th>\n",
       "      <th>Course Code</th>\n",
       "      <th>Description</th>\n",
       "      <th>Section</th>\n",
       "      <th>Vacancy</th>\n",
       "      <th>Opening Vacancy</th>\n",
       "      <th>Before Process Vacancy</th>\n",
       "      <th>After Process Vacancy</th>\n",
       "      <th>Enrolled Students</th>\n",
       "      <th>Median Bid</th>\n",
       "      <th>Min Bid</th>\n",
       "      <th>Instructor</th>\n",
       "      <th>School/Department</th>\n",
       "      <th>round_successful_bids</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>21323</th>\n",
       "      <td>2022-23 Term 2</td>\n",
       "      <td>Regular Academic Session</td>\n",
       "      <td>Round 2A Window 2</td>\n",
       "      <td>COR-MGMT1302</td>\n",
       "      <td>Business, Government and Society</td>\n",
       "      <td>G12</td>\n",
       "      <td>45.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>41.0</td>\n",
       "      <td>30.00</td>\n",
       "      <td>30.00</td>\n",
       "      <td>ELIZABETH SU</td>\n",
       "      <td>LKCSOB</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23437</th>\n",
       "      <td>2022-23 Term 2</td>\n",
       "      <td>Regular Academic Session</td>\n",
       "      <td>Round 2 Window 3</td>\n",
       "      <td>COR-MGMT1302</td>\n",
       "      <td>Business, Government and Society</td>\n",
       "      <td>G12</td>\n",
       "      <td>45.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>40.0</td>\n",
       "      <td>16.00</td>\n",
       "      <td>16.00</td>\n",
       "      <td>ELIZABETH SU</td>\n",
       "      <td>LKCSOB</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25549</th>\n",
       "      <td>2022-23 Term 2</td>\n",
       "      <td>Regular Academic Session</td>\n",
       "      <td>Round 2 Window 1</td>\n",
       "      <td>COR-MGMT1302</td>\n",
       "      <td>Business, Government and Society</td>\n",
       "      <td>G12</td>\n",
       "      <td>45.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>39.0</td>\n",
       "      <td>40.50</td>\n",
       "      <td>40.50</td>\n",
       "      <td>ELIZABETH SU</td>\n",
       "      <td>LKCSOB</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26605</th>\n",
       "      <td>2022-23 Term 2</td>\n",
       "      <td>Regular Academic Session</td>\n",
       "      <td>Round 1B Window 2</td>\n",
       "      <td>COR-MGMT1302</td>\n",
       "      <td>Business, Government and Society</td>\n",
       "      <td>G12</td>\n",
       "      <td>45.0</td>\n",
       "      <td>42.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>42.0</td>\n",
       "      <td>38.98</td>\n",
       "      <td>38.98</td>\n",
       "      <td>ELIZABETH SU</td>\n",
       "      <td>LKCSOB</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27632</th>\n",
       "      <td>2022-23 Term 2</td>\n",
       "      <td>Regular Academic Session</td>\n",
       "      <td>Round 1B Window 1</td>\n",
       "      <td>COR-MGMT1302</td>\n",
       "      <td>Business, Government and Society</td>\n",
       "      <td>G12</td>\n",
       "      <td>45.0</td>\n",
       "      <td>42.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>41.0</td>\n",
       "      <td>40.00</td>\n",
       "      <td>40.00</td>\n",
       "      <td>ELIZABETH SU</td>\n",
       "      <td>LKCSOB</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                 Term                   Session     Bidding Window  \\\n",
       "21323  2022-23 Term 2  Regular Academic Session  Round 2A Window 2   \n",
       "23437  2022-23 Term 2  Regular Academic Session   Round 2 Window 3   \n",
       "25549  2022-23 Term 2  Regular Academic Session   Round 2 Window 1   \n",
       "26605  2022-23 Term 2  Regular Academic Session  Round 1B Window 2   \n",
       "27632  2022-23 Term 2  Regular Academic Session  Round 1B Window 1   \n",
       "\n",
       "        Course Code                       Description Section  Vacancy  \\\n",
       "21323  COR-MGMT1302  Business, Government and Society     G12     45.0   \n",
       "23437  COR-MGMT1302  Business, Government and Society     G12     45.0   \n",
       "25549  COR-MGMT1302  Business, Government and Society     G12     45.0   \n",
       "26605  COR-MGMT1302  Business, Government and Society     G12     45.0   \n",
       "27632  COR-MGMT1302  Business, Government and Society     G12     45.0   \n",
       "\n",
       "       Opening Vacancy  Before Process Vacancy  After Process Vacancy  \\\n",
       "21323             45.0                     5.0                    4.0   \n",
       "23437             45.0                     7.0                    5.0   \n",
       "25549             45.0                     7.0                    6.0   \n",
       "26605             42.0                     1.0                    0.0   \n",
       "27632             42.0                     2.0                    1.0   \n",
       "\n",
       "       Enrolled Students  Median Bid  Min Bid    Instructor School/Department  \\\n",
       "21323               41.0       30.00    30.00  ELIZABETH SU            LKCSOB   \n",
       "23437               40.0       16.00    16.00  ELIZABETH SU            LKCSOB   \n",
       "25549               39.0       40.50    40.50  ELIZABETH SU            LKCSOB   \n",
       "26605               42.0       38.98    38.98  ELIZABETH SU            LKCSOB   \n",
       "27632               41.0       40.00    40.00  ELIZABETH SU            LKCSOB   \n",
       "\n",
       "       round_successful_bids  \n",
       "21323                    1.0  \n",
       "23437                    2.0  \n",
       "25549                    1.0  \n",
       "26605                    1.0  \n",
       "27632                    1.0  "
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "instructor_name = \"ELIZABETH SU\"\n",
    "instructor_name_dummy = instructor_name\n",
    "# Remove leading and trailing whitespace from instructor names column\n",
    "course_data.loc[:, \"Instructor\"] = course_data[\"Instructor\"].str.strip()\n",
    "\n",
    "instructor_course_data = course_data[course_data[\"Instructor\"] == instructor_name]\n",
    "print(f\"Instructor Course Data Shape: {instructor_course_data.shape}\")\n",
    "instructor_course_data.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Explore Bid Price for the specified instructor for the specified course"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The min, max, median and mean values for ELIZABETH SU's COR-MGMT1302 median bid prices are (11.17, 52.75, 27.24, 30.04) respectively.\n"
     ]
    }
   ],
   "source": [
    "min_course_median_value = instructor_course_data[\"Median Bid\"].min()\n",
    "max_course_median_value = instructor_course_data[\"Median Bid\"].max()\n",
    "median_course_median_value = round(instructor_course_data[\"Median Bid\"].median(), 2)\n",
    "mean_course_median_value = round(instructor_course_data[\"Median Bid\"].mean(), 2)\n",
    "print(f\"The min, max, median and mean values for {instructor_name}'s {course_code} median bid prices are {min_course_median_value, max_course_median_value, median_course_median_value, mean_course_median_value} respectively.\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Filter dataframe by Academic Year and/or Term"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "ELIZABETH SU taught 9 classes for COR-MGMT1302 in 2022-23 Term 2 \n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Term</th>\n",
       "      <th>Session</th>\n",
       "      <th>Bidding Window</th>\n",
       "      <th>Course Code</th>\n",
       "      <th>Description</th>\n",
       "      <th>Section</th>\n",
       "      <th>Vacancy</th>\n",
       "      <th>Opening Vacancy</th>\n",
       "      <th>Before Process Vacancy</th>\n",
       "      <th>After Process Vacancy</th>\n",
       "      <th>Enrolled Students</th>\n",
       "      <th>Median Bid</th>\n",
       "      <th>Min Bid</th>\n",
       "      <th>Instructor</th>\n",
       "      <th>School/Department</th>\n",
       "      <th>round_successful_bids</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2022-23 Term 2</td>\n",
       "      <td>Regular Academic Session</td>\n",
       "      <td>Round 1 Window 1</td>\n",
       "      <td>COR-MGMT1302</td>\n",
       "      <td>Business, Government and Society</td>\n",
       "      <td>G12</td>\n",
       "      <td>45.0</td>\n",
       "      <td>38.0</td>\n",
       "      <td>38.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>37.0</td>\n",
       "      <td>21.12</td>\n",
       "      <td>10.00</td>\n",
       "      <td>ELIZABETH SU</td>\n",
       "      <td>LKCSOB</td>\n",
       "      <td>37.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2022-23 Term 2</td>\n",
       "      <td>Regular Academic Session</td>\n",
       "      <td>Round 1 Window 2</td>\n",
       "      <td>COR-MGMT1302</td>\n",
       "      <td>Business, Government and Society</td>\n",
       "      <td>G12</td>\n",
       "      <td>45.0</td>\n",
       "      <td>38.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>38.0</td>\n",
       "      <td>41.55</td>\n",
       "      <td>40.01</td>\n",
       "      <td>ELIZABETH SU</td>\n",
       "      <td>LKCSOB</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2022-23 Term 2</td>\n",
       "      <td>Regular Academic Session</td>\n",
       "      <td>Round 1A Window 1</td>\n",
       "      <td>COR-MGMT1302</td>\n",
       "      <td>Business, Government and Society</td>\n",
       "      <td>G12</td>\n",
       "      <td>45.0</td>\n",
       "      <td>40.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>40.0</td>\n",
       "      <td>42.78</td>\n",
       "      <td>40.01</td>\n",
       "      <td>ELIZABETH SU</td>\n",
       "      <td>LKCSOB</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>2022-23 Term 2</td>\n",
       "      <td>Regular Academic Session</td>\n",
       "      <td>Round 1A Window 2</td>\n",
       "      <td>COR-MGMT1302</td>\n",
       "      <td>Business, Government and Society</td>\n",
       "      <td>G12</td>\n",
       "      <td>45.0</td>\n",
       "      <td>42.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>42.0</td>\n",
       "      <td>52.75</td>\n",
       "      <td>50.50</td>\n",
       "      <td>ELIZABETH SU</td>\n",
       "      <td>LKCSOB</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>2022-23 Term 2</td>\n",
       "      <td>Regular Academic Session</td>\n",
       "      <td>Round 1B Window 1</td>\n",
       "      <td>COR-MGMT1302</td>\n",
       "      <td>Business, Government and Society</td>\n",
       "      <td>G12</td>\n",
       "      <td>45.0</td>\n",
       "      <td>42.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>41.0</td>\n",
       "      <td>40.00</td>\n",
       "      <td>40.00</td>\n",
       "      <td>ELIZABETH SU</td>\n",
       "      <td>LKCSOB</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             Term                   Session     Bidding Window   Course Code  \\\n",
       "0  2022-23 Term 2  Regular Academic Session   Round 1 Window 1  COR-MGMT1302   \n",
       "2  2022-23 Term 2  Regular Academic Session   Round 1 Window 2  COR-MGMT1302   \n",
       "4  2022-23 Term 2  Regular Academic Session  Round 1A Window 1  COR-MGMT1302   \n",
       "6  2022-23 Term 2  Regular Academic Session  Round 1A Window 2  COR-MGMT1302   \n",
       "8  2022-23 Term 2  Regular Academic Session  Round 1B Window 1  COR-MGMT1302   \n",
       "\n",
       "                        Description Section  Vacancy  Opening Vacancy  \\\n",
       "0  Business, Government and Society     G12     45.0             38.0   \n",
       "2  Business, Government and Society     G12     45.0             38.0   \n",
       "4  Business, Government and Society     G12     45.0             40.0   \n",
       "6  Business, Government and Society     G12     45.0             42.0   \n",
       "8  Business, Government and Society     G12     45.0             42.0   \n",
       "\n",
       "   Before Process Vacancy  After Process Vacancy  Enrolled Students  \\\n",
       "0                    38.0                    1.0               37.0   \n",
       "2                     2.0                    0.0               38.0   \n",
       "4                     2.0                    0.0               40.0   \n",
       "6                     2.0                    0.0               42.0   \n",
       "8                     2.0                    1.0               41.0   \n",
       "\n",
       "   Median Bid  Min Bid    Instructor School/Department  round_successful_bids  \n",
       "0       21.12    10.00  ELIZABETH SU            LKCSOB                   37.0  \n",
       "2       41.55    40.01  ELIZABETH SU            LKCSOB                    2.0  \n",
       "4       42.78    40.01  ELIZABETH SU            LKCSOB                    2.0  \n",
       "6       52.75    50.50  ELIZABETH SU            LKCSOB                    2.0  \n",
       "8       40.00    40.00  ELIZABETH SU            LKCSOB                    1.0  "
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "AY = \"2022-23\"\n",
    "# Filter by Term (Term 1 or Term 2)?\n",
    "term = \"Term 2\"\n",
    "if term:\n",
    "    AY += f\" {term}\"\n",
    "    \n",
    "instructor_course_data = instructor_course_data.sort_values(by=\"Bidding Window\", ignore_index=True)\n",
    "instructor_course_data = instructor_course_data[instructor_course_data[\"Term\"].str.contains(AY, case=False)]\n",
    "print(f\"{instructor_name} taught {len(instructor_course_data['Term'].to_list())} classes for {course_code} in {AY} \")\n",
    "instructor_course_data.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Bid Price Visualisation for specified prof, course, AY and/or Term:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1400x1000 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "median_bid_by_window = instructor_course_data.groupby('Bidding Window')['Median Bid'].median().reset_index()\n",
    "\n",
    "plt.figure(figsize=(14, 10))\n",
    "\n",
    "# Plot the median bid values by window as a line\n",
    "plt.plot(\n",
    "    median_bid_by_window[\"Bidding Window\"],\n",
    "    median_bid_by_window[\"Median Bid\"],\n",
    "    marker=\"o\",\n",
    "    label='Median Bid of all Section Bids per Window'\n",
    ")\n",
    "\n",
    "# Plot all individual bid values as points\n",
    "plt.scatter(\n",
    "    instructor_course_data[\"Bidding Window\"],\n",
    "    instructor_course_data[\"Median Bid\"],\n",
    "    color=\"red\",\n",
    "    label=\"Section Median Bid Values\"\n",
    ")\n",
    "\n",
    "plt.title(f\"Median Bid Price vs. Bidding Window for {instructor_name}'s {course_code} course in AY {AY}\")\n",
    "plt.xlabel(\"Bidding Window\")\n",
    "plt.ylabel(\"Median Bid Price\")\n",
    "plt.xticks(rotation=70)\n",
    "plt.grid(True)\n",
    "plt.tight_layout()\n",
    "\n",
    "max_y_values = {}\n",
    "\n",
    "# Annotate data points with their \"Section\" value and adjust y-coordinate\n",
    "annotations = []\n",
    "for x, y, sem, section, slots_avail, round_successful_bids in zip(instructor_course_data[\"Bidding Window\"], instructor_course_data[\"Median Bid\"],instructor_course_data[\"Term\"], instructor_course_data[\"Section\"], instructor_course_data[\"Before Process Vacancy\"], instructor_course_data[\"round_successful_bids\"]):\n",
    "    max_y = max_y_values.get(x, 0) \n",
    "    y_offset = max_y + 2\n",
    "    max_y_values[x] = y_offset\n",
    "    displayed_text = f\"{section}, Median Bid:{y:.2f}, Slots avail: {int(slots_avail)}\\nSuccessful bids: {int(round_successful_bids)}\"\n",
    "    if not term:\n",
    "        displayed_text = f\"Term {sem[-1]} {displayed_text}\"\n",
    "        print(displayed_text)\n",
    "    annotation = plt.annotate(displayed_text, (x, y),\n",
    "                            textcoords=\"offset points\",\n",
    "                            xytext=(0, y_offset),\n",
    "                            ha=\"center\", fontsize=6,\n",
    "                            arrowprops=dict(arrowstyle=\"-\", lw=0.5, color=\"black\"))\n",
    "    annotations.append(annotation)\n",
    "\n",
    "# Use the adjust_text function to adjust the position of overlapping annotations\n",
    "adjust_text(annotations, autoalign=\"xy\", only_move={\"points\": \"xy\"})\n",
    "\n",
    "plt.legend()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Visualise each Instructor's min, mean and median bids with a Bar chart"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                  Instructor  Min Median Bid  Max Median Bid  \\\n",
      "0               ER JWEE PING           10.00           45.60   \n",
      "1        GILBERT TAN YIP WEI           10.00           58.25   \n",
      "2   MOHAMED IRSHAD ABBAS ALI           10.00           49.33   \n",
      "3             LOO KHEE SHENG           10.00           78.08   \n",
      "4              FRANCIS PAVRI           10.00           55.90   \n",
      "5               ELIZABETH SU           11.17           52.75   \n",
      "6               CHAN KAY MIN           10.00           42.10   \n",
      "7              TAN WEE LIANG           10.00           90.00   \n",
      "8                RAJAH KUMAR           10.99           38.88   \n",
      "\n",
      "   Median Median Bid  Mean Median Bid  \n",
      "0              23.31            20.83  \n",
      "1              29.54            29.38  \n",
      "2              23.31            21.60  \n",
      "3              30.79            30.14  \n",
      "4              28.86            28.57  \n",
      "5              30.04            27.24  \n",
      "6              19.71            18.00  \n",
      "7              24.36            20.87  \n",
      "8              26.48            25.89  \n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Instructor</th>\n",
       "      <th>Min Median Bid</th>\n",
       "      <th>Max Median Bid</th>\n",
       "      <th>Median Median Bid</th>\n",
       "      <th>Mean Median Bid</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>ER JWEE PING</td>\n",
       "      <td>10.0</td>\n",
       "      <td>45.60</td>\n",
       "      <td>23.31</td>\n",
       "      <td>20.83</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>GILBERT TAN YIP WEI</td>\n",
       "      <td>10.0</td>\n",
       "      <td>58.25</td>\n",
       "      <td>29.54</td>\n",
       "      <td>29.38</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>MOHAMED IRSHAD ABBAS ALI</td>\n",
       "      <td>10.0</td>\n",
       "      <td>49.33</td>\n",
       "      <td>23.31</td>\n",
       "      <td>21.60</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>LOO KHEE SHENG</td>\n",
       "      <td>10.0</td>\n",
       "      <td>78.08</td>\n",
       "      <td>30.79</td>\n",
       "      <td>30.14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>FRANCIS PAVRI</td>\n",
       "      <td>10.0</td>\n",
       "      <td>55.90</td>\n",
       "      <td>28.86</td>\n",
       "      <td>28.57</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                  Instructor  Min Median Bid  Max Median Bid  \\\n",
       "0               ER JWEE PING            10.0           45.60   \n",
       "1        GILBERT TAN YIP WEI            10.0           58.25   \n",
       "2   MOHAMED IRSHAD ABBAS ALI            10.0           49.33   \n",
       "3             LOO KHEE SHENG            10.0           78.08   \n",
       "4              FRANCIS PAVRI            10.0           55.90   \n",
       "\n",
       "   Median Median Bid  Mean Median Bid  \n",
       "0              23.31            20.83  \n",
       "1              29.54            29.38  \n",
       "2              23.31            21.60  \n",
       "3              30.79            30.14  \n",
       "4              28.86            28.57  "
      ]
     },
     "execution_count": 45,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# we want to create our own dataframe with the min, max mean and median median bid values\n",
    "data = []\n",
    "\n",
    "for instructor_name in unique_instructors:\n",
    "    instructor_data = course_data[course_data[\"Instructor\"] == instructor_name.strip()]\n",
    "    min_value = instructor_data[\"Median Bid\"].min()\n",
    "    max_value = instructor_data[\"Median Bid\"].max()\n",
    "    median_value = round(instructor_data[\"Median Bid\"].median(), 2)\n",
    "    mean_value = round(instructor_data[\"Median Bid\"].mean(), 2)\n",
    "    data.append([instructor_name, min_value, max_value, mean_value, median_value])\n",
    "\n",
    "# Create a DataFrame from the collected results\n",
    "data_df = pd.DataFrame(data, columns=[\"Instructor\", \"Min Median Bid\", \"Max Median Bid\", \"Median Median Bid\", \"Mean Median Bid\"])\n",
    "print(data_df)\n",
    "data_df.head()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 1400x1000 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# bars to show:\n",
    "show_min_bar = True\n",
    "show_max_bar = True\n",
    "show_median_bar = True\n",
    "show_mean_bar = True\n",
    "\n",
    "# Create an array of x-coords for each instructor\n",
    "x = np.arange(len(data_df[\"Instructor\"]))\n",
    "\n",
    "group_width = 0.2 \n",
    "\n",
    "# Create a vertical bar chart with no spaces between bars within an instructor's group\n",
    "plt.figure(figsize=(14, 10))\n",
    "\n",
    "bar_chart_annotations = []\n",
    "def add_values_on_bars(bars):\n",
    "    global bar_chart_annotations\n",
    "    for bar in bars:\n",
    "        height = bar.get_height()\n",
    "        annotation = plt.annotate(f'{height:.2f}', xy=(bar.get_x() + bar.get_width() / 2, height),\n",
    "                                    xytext=(0, 6), \n",
    "                                    textcoords=\"offset points\", \n",
    "                                    ha=\"center\", \n",
    "                                    va=\"bottom\", \n",
    "                                    fontsize=6)\n",
    "        bar_chart_annotations.append(annotation)\n",
    "\n",
    "if show_min_bar:\n",
    "    min_bars = plt.bar(x - 1.5*group_width, data_df[\"Min Median Bid\"], width=group_width, label=\"Min Median Bid\", alpha=0.7, color=\"green\")\n",
    "    add_values_on_bars(min_bars)\n",
    "if show_max_bar:\n",
    "    max_bars = plt.bar(x - 0.5*group_width, data_df[\"Max Median Bid\"], width=group_width, label=\"Max Median Bid\", alpha=0.7, color=\"grey\")\n",
    "    add_values_on_bars(max_bars)\n",
    "if show_median_bar:\n",
    "    median_bars = plt.bar(x + 0.5*group_width, data_df[\"Median Median Bid\"], width=group_width, label=\"Median Median Bid\", alpha=0.7, color=\"red\")\n",
    "    add_values_on_bars(median_bars)\n",
    "if show_mean_bar:\n",
    "    mean_bars = plt.bar(x + 1.5 * group_width, data_df[\"Mean Median Bid\"], width=group_width, label=\"Mean Median Bid\", alpha=0.7, color=\"blue\")\n",
    "    add_values_on_bars(mean_bars)\n",
    "\n",
    "\n",
    "adjust_text(bar_chart_annotations, autoalign=\"y\", only_move={\"points\": \"y\"})\n",
    "\n",
    "plt.xticks(x, data_df[\"Instructor\"], rotation=60)\n",
    "plt.xlabel(\"Instructor\")\n",
    "plt.ylabel(\"Bid Price\")\n",
    "plt.title(f\"All-time Min, Max, Median, Mean values of the Median bid price for each Instructor teaching {course_code}\")\n",
    "plt.legend()\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Lets visualise the year over year bid prices for a specified BIDDING WINDOW AND INSTRUCTOR"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "ELIZABETH SU\n",
      "Dataframe containing the Mean median bid price across the terms for ELIZABETH SU:\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Term</th>\n",
       "      <th>Mean of Median Bids</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2020-21 Term 2</td>\n",
       "      <td>18.67</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2022-23 Term 2</td>\n",
       "      <td>21.12</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             Term  Mean of Median Bids\n",
       "0  2020-21 Term 2                18.67\n",
       "1  2022-23 Term 2                21.12"
      ]
     },
     "execution_count": 47,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "specified_bidding_window = \"Round 1 Window 1\"\n",
    "\n",
    "# re-initialise instructor_course_data dataframe as we do not want to use the instructor_course_data df above which has been filtered to the specified year\n",
    "# instructor_name = \"GILBERT TAN YIP WEI\"\n",
    "print(instructor_name_dummy)\n",
    "print(f\"Dataframe containing the Mean median bid price across the terms for {instructor_name_dummy}:\")\n",
    "instructor_course_data = course_data[course_data[\"Instructor\"] == instructor_name_dummy]\n",
    "window_course_data = instructor_course_data[instructor_course_data[\"Bidding Window\"] == specified_bidding_window]\n",
    "window_course_data = window_course_data.sort_values(by=\"Term\", ascending=True)\n",
    "\n",
    "# Group filtered data by year and calculate the mean Median Bid for each year\n",
    "yearly_instructor_course_data = window_course_data.groupby(\"Term\")[\"Median Bid\"].mean().reset_index()\n",
    "yearly_instructor_course_data = yearly_instructor_course_data.sort_values(by=\"Term\", ascending=True)\n",
    "\n",
    "# renamed yearly_data df column headers to aid better understanding\n",
    "yearly_instructor_course_data.rename(columns={\"Median Bid\": \"Mean of Median Bids\"}, inplace=True)\n",
    "yearly_instructor_course_data.head()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Lets use a Linear Regression model to plot a best fit line and make bid price predictions for future Terms"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Term</th>\n",
       "      <th>Mean of Median Bids</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>18.67</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>21.12</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Term  Mean of Median Bids\n",
       "0     0                18.67\n",
       "1     1                21.12"
      ]
     },
     "execution_count": 48,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# We will perform label encoding for the Terms\n",
    "label_encoder = LabelEncoder()\n",
    "yearly_instructor_course_data[\"Term\"] = label_encoder.fit_transform(yearly_instructor_course_data[\"Term\"])\n",
    "\n",
    "X = yearly_instructor_course_data[[\"Term\"]]\n",
    "Y = yearly_instructor_course_data[\"Mean of Median Bids\"]\n",
    "\n",
    "reg_model = LinearRegression()\n",
    "reg_model.fit(X, Y)\n",
    "\n",
    "yearly_instructor_course_data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Predicted Median Bid for the upcoming Term: 23.57\n"
     ]
    }
   ],
   "source": [
    "# Find the latest term and calculate the upcoming term as the next integer value\n",
    "latest_term = yearly_instructor_course_data[\"Term\"].max()\n",
    "upcoming_term = latest_term + 1\n",
    "\n",
    "predicted_bid_upcoming_term = reg_model.predict([[upcoming_term]])\n",
    "\n",
    "print(f\"Predicted Median Bid for the upcoming Term: {predicted_bid_upcoming_term[0]:.2f}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(12, 8))\n",
    "\n",
    "plt.plot(\n",
    "    yearly_instructor_course_data[\"Term\"],\n",
    "    yearly_instructor_course_data[\"Mean of Median Bids\"],\n",
    "    marker=\"x\",\n",
    "    label=\"Mean of Median Bids\"\n",
    ")\n",
    "\n",
    "plt.scatter(\n",
    "    window_course_data[\"Term\"],\n",
    "    window_course_data[\"Median Bid\"],\n",
    "    color=\"red\",\n",
    "    label=\"Individual Section Median Bid Values\"\n",
    ")\n",
    "\n",
    "# Lets use out linear reg model to plot a best fit line\n",
    "plt.plot(X, reg_model.predict(X), color=\"red\", label=\"Best-Fit Line for section median bids\")\n",
    "\n",
    "plt.scatter(\n",
    "    upcoming_term,\n",
    "    predicted_bid_upcoming_term,\n",
    "    color='green',\n",
    "    marker='o',\n",
    "    s=100,\n",
    "    label=f'Predicted Bid for the next term'\n",
    ")\n",
    "\n",
    "# Annotate the predicted point with its value\n",
    "plt.annotate(\n",
    "    f\"Upcoming Term\\nPredicted Bid: {predicted_bid_upcoming_term[0]:.2f}\",\n",
    "    (upcoming_term, predicted_bid_upcoming_term),\n",
    "    textcoords=\"offset points\",\n",
    "    xytext=(-9.5,10),  # Adjust the position of the text above the point\n",
    "    ha=\"center\",\n",
    "    fontsize=9,\n",
    ")\n",
    "\n",
    "plt.title(f\"Median Bid Price vs. Bidding Window for {instructor_name_dummy}'s {course_code} course in {specified_bidding_window}\")\n",
    "plt.xlabel(\"Term\")\n",
    "plt.ylabel(\"Median Bid Price\")\n",
    "plt.xticks(rotation=65)\n",
    "plt.grid(True)\n",
    "plt.tight_layout()\n",
    "\n",
    "plt.legend()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Lets determine the year over year increase of median bid price"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Estimated TOT rate of change (inflation rate) of bid price by average of the sum of the TOT changes in Bid data: 2.45 per Term\n",
      "Estimated TOT rate of change (inflation rate) of bid price by calculating gradient of the best-fit line: 2.45 per Term\n"
     ]
    }
   ],
   "source": [
    "# We can take the average of the sum of the Term over Term changes in Bid data to estimate the Term over Term increase of bid price\n",
    "yearly_instructor_course_data[\"Term over Term Increase\"] = yearly_instructor_course_data[\"Mean of Median Bids\"].diff()\n",
    "average_tot_increase = yearly_instructor_course_data[\"Term over Term Increase\"].mean()\n",
    "print(f\"Estimated TOT rate of change (inflation rate) of bid price by average of the sum of the TOT changes in Bid data: {average_tot_increase:.2f} per Term\")\n",
    "yearly_instructor_course_data.head()\n",
    "\n",
    "# Also, we can find gradient of the best fit line to estimate the Term over Term increase of bid price\n",
    "gradient = reg_model.coef_[0]\n",
    "print(f\"Estimated TOT rate of change (inflation rate) of bid price by calculating gradient of the best-fit line: {gradient:.2f} per Term\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Lets calculate the predicted bids for all profs and their estimated inflation rate for the specified window"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Predicted Median Bid for  ER JWEE PING in the upcoming Term: 21.76\n",
      "Estimated TOT rate of change (inflation rate) of bid price for  ER JWEE PING by average of the sum of the TOT changes in Bid data: 1.00 per Term\n",
      "Estimated TOT rate of change (inflation rate) of bid price for  ER JWEE PING by calculating gradient of the best-fit line: 0.60 per Term\n",
      "\n",
      "Predicted Median Bid for  GILBERT TAN YIP WEI in the upcoming Term: 37.83\n",
      "Estimated TOT rate of change (inflation rate) of bid price for  GILBERT TAN YIP WEI by average of the sum of the TOT changes in Bid data: 2.14 per Term\n",
      "Estimated TOT rate of change (inflation rate) of bid price for  GILBERT TAN YIP WEI by calculating gradient of the best-fit line: 2.20 per Term\n",
      "\n",
      "Predicted Median Bid for  MOHAMED IRSHAD ABBAS ALI in the upcoming Term: 23.45\n",
      "Estimated TOT rate of change (inflation rate) of bid price for  MOHAMED IRSHAD ABBAS ALI by average of the sum of the TOT changes in Bid data: 1.16 per Term\n",
      "Estimated TOT rate of change (inflation rate) of bid price for  MOHAMED IRSHAD ABBAS ALI by calculating gradient of the best-fit line: 1.02 per Term\n",
      "\n",
      "Predicted Median Bid for  LOO KHEE SHENG in the upcoming Term: 46.21\n",
      "Estimated TOT rate of change (inflation rate) of bid price for  LOO KHEE SHENG by average of the sum of the TOT changes in Bid data: 3.79 per Term\n",
      "Estimated TOT rate of change (inflation rate) of bid price for  LOO KHEE SHENG by calculating gradient of the best-fit line: 3.30 per Term\n",
      "\n",
      "Predicted Median Bid for  FRANCIS PAVRI in the upcoming Term: 33.42\n",
      "Estimated TOT rate of change (inflation rate) of bid price for  FRANCIS PAVRI by average of the sum of the TOT changes in Bid data: 1.98 per Term\n",
      "Estimated TOT rate of change (inflation rate) of bid price for  FRANCIS PAVRI by calculating gradient of the best-fit line: 1.75 per Term\n",
      "\n",
      "Predicted Median Bid for  ELIZABETH SU in the upcoming Term: 21.73\n",
      "Estimated TOT rate of change (inflation rate) of bid price for  ELIZABETH SU by average of the sum of the TOT changes in Bid data: 2.45 per Term\n",
      "Estimated TOT rate of change (inflation rate) of bid price for  ELIZABETH SU by calculating gradient of the best-fit line: 0.61 per Term\n",
      "\n",
      "Predicted Median Bid for  CHAN KAY MIN in the upcoming Term: 11.27\n",
      "Estimated TOT rate of change (inflation rate) of bid price for  CHAN KAY MIN by average of the sum of the TOT changes in Bid data: -1.67 per Term\n",
      "Estimated TOT rate of change (inflation rate) of bid price for  CHAN KAY MIN by calculating gradient of the best-fit line: -1.00 per Term\n",
      "\n",
      "Predicted Median Bid for  TAN WEE LIANG in the upcoming Term: 27.34\n",
      "Estimated TOT rate of change (inflation rate) of bid price for  TAN WEE LIANG by average of the sum of the TOT changes in Bid data: 4.80 per Term\n",
      "Estimated TOT rate of change (inflation rate) of bid price for  TAN WEE LIANG by calculating gradient of the best-fit line: 1.68 per Term\n",
      "\n",
      "Predicted Median Bid for  RAJAH KUMAR in the upcoming Term: 21.01\n",
      "Estimated TOT rate of change (inflation rate) of bid price for  RAJAH KUMAR by average of the sum of the TOT changes in Bid data: nan per Term\n",
      "Estimated TOT rate of change (inflation rate) of bid price for  RAJAH KUMAR by calculating gradient of the best-fit line: 0.00 per Term\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(12, 8))\n",
    "label_encoder = LabelEncoder()\n",
    "\n",
    "# We will use a hashmap like below to encode instead of a label encoder as not al instructors taught all terms\n",
    "term_mapping = {\n",
    "    '2019-20 Term 1': 0,\n",
    "    '2019-20 Term 2': 1,\n",
    "    '2020-21 Term 1': 2,\n",
    "    '2020-21 Term 2': 3,\n",
    "    '2021-22 Term 1': 4,\n",
    "    '2021-22 Term 2': 5,\n",
    "    '2022-23 Term 1': 6,\n",
    "    '2022-23 Term 2': 7\n",
    "}\n",
    "\n",
    "warnings.filterwarnings(\"ignore\", category=UserWarning)\n",
    "\n",
    "for instructor_name in unique_instructors:\n",
    "    instructor_course_data = course_data[course_data[\"Instructor\"] == instructor_name.strip()]\n",
    "    window_course_data = instructor_course_data[instructor_course_data[\"Bidding Window\"] == specified_bidding_window]\n",
    "    window_course_data = window_course_data.sort_values(by=\"Term\", ascending=True)\n",
    "\n",
    "    yearly_instructor_course_data = window_course_data.groupby(\"Term\")[\"Median Bid\"].mean().reset_index()\n",
    "    yearly_instructor_course_data = yearly_instructor_course_data.sort_values(by=\"Term\", ascending=True)\n",
    "\n",
    "    yearly_instructor_course_data.rename(columns={\"Median Bid\": \"Mean of Median Bids\"}, inplace=True)\n",
    "\n",
    "    \n",
    "    # yearly_instructor_course_data[\"Term\"] = label_encoder.fit_transform(yearly_instructor_course_data[\"Term\"])\n",
    "\n",
    "    # To encode Term, apply the mapping to your DataFrame\n",
    "    yearly_instructor_course_data['Term'] = yearly_instructor_course_data[\"Term\"].map(term_mapping)\n",
    "\n",
    "    X = yearly_instructor_course_data[[\"Term\"]]\n",
    "    Y = yearly_instructor_course_data[\"Mean of Median Bids\"]\n",
    "\n",
    "    if not X.empty and not Y.empty:\n",
    "        reg_model = LinearRegression()\n",
    "        reg_model.fit(X, Y)\n",
    "\n",
    "        latest_term = yearly_instructor_course_data[\"Term\"].max()\n",
    "        upcoming_term = latest_term + 1\n",
    "\n",
    "        predicted_bid_upcoming_term = reg_model.predict([[upcoming_term]])\n",
    "\n",
    "        print(f\"Predicted Median Bid for {instructor_name} in the upcoming Term: {predicted_bid_upcoming_term[0]:.2f}\")\n",
    "\n",
    "        # plt.plot(\n",
    "        #     yearly_instructor_course_data[\"Term\"],\n",
    "        #     yearly_instructor_course_data[\"Mean of Median Bids\"],\n",
    "        #     marker=\"x\",\n",
    "        #     label=\"Mean of Median Bids\"\n",
    "        # )\n",
    "\n",
    "        plt.scatter(\n",
    "            window_course_data[\"Term\"],\n",
    "            window_course_data[\"Median Bid\"],\n",
    "            label=f\"_Individual Section Median Bid Values({instructor_name})\"\n",
    "            # underscore such that teh predicted points do not show up in legend, preventing overcrowding\n",
    "        )\n",
    "\n",
    "\n",
    "        plt.plot(X, reg_model.predict(X), label=f\"Best-Fit Line for section median bids ({instructor_name.strip()})\")\n",
    "\n",
    "        plt.scatter(\n",
    "            upcoming_term,\n",
    "            predicted_bid_upcoming_term,\n",
    "            color=\"green\",\n",
    "            marker=\"o\",\n",
    "            s=100,\n",
    "            label=f\"_Predicted Bid for the next term\"\n",
    "        )\n",
    "\n",
    "        plt.annotate(\n",
    "            f\"{instructor_name.strip()}\\nPredicted Bid: {predicted_bid_upcoming_term[0]:.2f}\",\n",
    "            (upcoming_term, predicted_bid_upcoming_term),\n",
    "            textcoords=\"offset points\",\n",
    "            xytext=(-9.5,10),\n",
    "            ha=\"center\",\n",
    "            fontsize=7,\n",
    "        )\n",
    "\n",
    "        yearly_instructor_course_data[\"Term over Term Increase\"] = yearly_instructor_course_data[\"Mean of Median Bids\"].diff()\n",
    "        average_tot_increase = yearly_instructor_course_data[\"Term over Term Increase\"].mean()\n",
    "        print(f\"Estimated TOT rate of change (inflation rate) of bid price for {instructor_name} by average of the sum of the TOT changes in Bid data: {average_tot_increase:.2f} per Term\")\n",
    "        yearly_instructor_course_data.head()\n",
    "\n",
    "        gradient = reg_model.coef_[0]\n",
    "        print(f\"Estimated TOT rate of change (inflation rate) of bid price for {instructor_name} by calculating gradient of the best-fit line: {gradient:.2f} per Term\\n\")\n",
    "    else:\n",
    "        print(f\"No data for {instructor_name}\\n\")\n",
    "    \n",
    "plt.legend()\n",
    "\n",
    "plt.title(f\"Median Bid Price vs. Bidding Window for all Instructors' {course_code} course in {specified_bidding_window}\")\n",
    "plt.xlabel(\"Term\")\n",
    "plt.ylabel(\"Median Bid Price\")\n",
    "plt.xticks(rotation=65)\n",
    "plt.grid(True)\n",
    "plt.tight_layout()\n",
    "\n",
    "plt.show()"
   ]
  }
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