{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "9ccc4c49",
   "metadata": {},
   "source": [
    "# How much ground does each student get?\n",
    "\n",
    "The question: how much land (school grounds) does each student get, across the government schools of inner Sydney and\n",
    "Parramatta? NSW government schools in inner Sydney and Parramatta publish a code, a name, a location and 22 years of headcounts.\n",
    "They do not publish the school grounds. Without a shape there is no area, and without an area there is no \"per square\n",
    "metre\". The shapes in `data/geometry/` were made in [Plotlay](https://www.getplotlay.com): NSW Cadastre lots picked and\n",
    "merged for each school, and the few schools without a lot of their own drawn over the NSW aerial imagery. Each shape\n",
    "carries its school code, so it joins to the department's tables.\n",
    "\n",
    "This notebook reads only the files in `../data`, recomputes every number it shows, and runs top to bottom in under a\n",
    "minute."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "ce8f3393",
   "metadata": {},
   "outputs": [],
   "source": [
    "import json\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import geopandas as gpd\n",
    "import matplotlib.pyplot as plt\n",
    "from matplotlib.patches import Rectangle\n",
    "\n",
    "DATA = '../data'\n",
    "pd.set_option('display.width', 140)\n",
    "INK, RED, MUTED, FILM = '#1d4f91', '#cf3b26', '#5b6573', '#f2efe6'\n",
    "BINS = [0, 10, 15, 25, 50, np.inf]\n",
    "BIN_LABELS = ['under 10 m²', '10 to 15', '15 to 25', '25 to 50', '50 m² or more']\n",
    "BIN_COLOURS = ['#6b1a10', '#b8321f', '#e0714a', '#f0aa82', '#f8dcc6']\n",
    "plt.rcParams.update({'figure.dpi': 110, 'axes.spines.top': False, 'axes.spines.right': False, 'font.size': 10})"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7825a1cc",
   "metadata": {},
   "source": [
    "## Sources and licence\n",
    "\n",
    "School data: NSW Department of Education (Centre for Education Statistics and Evaluation), data.nsw.gov.au, under\n",
    "Creative Commons Attribution (CC BY). Cadastre and aerial imagery: © State of New South Wales (Spatial Services), CC BY\n",
    "3.0 AU. The outlines were made in Plotlay from NSW Cadastre lots and drawn over NSW Imagery; there is nothing from\n",
    "OpenStreetMap in this repository. The full credits are in `NOTICE`."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "74459267",
   "metadata": {},
   "source": [
    "## Load the tables\n",
    "\n",
    "One row per school (`schools.csv`) and two long tables with a row per school and year. Headcounts of 5 or fewer are\n",
    "published as `SP` (suppressed): they stay blank and are never filled in or worked out from totals. None of the 81\n",
    "schools here has a suppressed headcount."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "1da13d1a",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "81 schools; 1686 school-years of headcount; 946 of attendance\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>school_key</th>\n",
       "      <th>school_name</th>\n",
       "      <th>level</th>\n",
       "      <th>opened</th>\n",
       "      <th>shape_source</th>\n",
       "      <th>outline_check</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>8913</td>\n",
       "      <td>Inner Sydney High School</td>\n",
       "      <td>Secondary School</td>\n",
       "      <td>2020-01-28</td>\n",
       "      <td>NSW Cadastre lots</td>\n",
       "      <td>ok</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>8135</td>\n",
       "      <td>Parramatta High School</td>\n",
       "      <td>Secondary School</td>\n",
       "      <td>1913-01-01</td>\n",
       "      <td>NSW Cadastre lots</td>\n",
       "      <td>ok</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>8892</td>\n",
       "      <td>Arthur Phillip High School</td>\n",
       "      <td>Secondary School</td>\n",
       "      <td>1958-01-01</td>\n",
       "      <td>NSW Cadastre lots</td>\n",
       "      <td>ok</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>7442</td>\n",
       "      <td>Woollahra Public School</td>\n",
       "      <td>Primary School</td>\n",
       "      <td>1878-03-01</td>\n",
       "      <td>NSW Cadastre lots</td>\n",
       "      <td>ok</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>3305</td>\n",
       "      <td>Ultimo Public School</td>\n",
       "      <td>Primary School</td>\n",
       "      <td>1858-01-10</td>\n",
       "      <td>NSW Cadastre lots</td>\n",
       "      <td>ok</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   school_key                 school_name             level      opened       shape_source outline_check\n",
       "0        8913    Inner Sydney High School  Secondary School  2020-01-28  NSW Cadastre lots            ok\n",
       "1        8135      Parramatta High School  Secondary School  1913-01-01  NSW Cadastre lots            ok\n",
       "2        8892  Arthur Phillip High School  Secondary School  1958-01-01  NSW Cadastre lots            ok\n",
       "3        7442     Woollahra Public School    Primary School  1878-03-01  NSW Cadastre lots            ok\n",
       "4        3305        Ultimo Public School    Primary School  1858-01-10  NSW Cadastre lots            ok"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "schools = pd.read_csv(f'{DATA}/schools/schools.csv')\n",
    "enrol = pd.read_csv(f'{DATA}/schools/enrolments_long.csv')\n",
    "att = pd.read_csv(f'{DATA}/schools/attendance_long.csv')\n",
    "assert schools.school_key.is_unique\n",
    "assert not enrol.duplicated(['school_key', 'year']).any()\n",
    "assert (enrol.students > 0).all(), 'blanks stay blank: no zeros stand in for suppressed values'\n",
    "print(len(schools), 'schools;', len(enrol), 'school-years of headcount;', len(att), 'of attendance')\n",
    "schools[['school_key', 'school_name', 'level', 'opened', 'shape_source', 'outline_check']].head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c8d1951c",
   "metadata": {},
   "source": [
    "## Load the shapes\n",
    "\n",
    "The GeoJSON is the Plotlay export: WGS 84 longitude and latitude, a `key` (the school code) on every shape, `area_m2`,\n",
    "and `source` saying how the outline was made. The areas are checked here in a metre grid (GDA2020 MGA zone 56,\n",
    "EPSG:7856), not in degrees."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "42b55e3a",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "81 shapes; largest difference between the Plotlay area and EPSG:7856: 0.11%\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "source\n",
       "NSW Cadastre (Spatial Services)    75\n",
       "Drawn over NSW aerial imagery       6\n",
       "Name: count, dtype: int64"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "shapes = gpd.read_file(f'{DATA}/geometry/schools.geojson')\n",
    "shapes['school_key'] = shapes['key'].astype(int)\n",
    "shapes['grounds_m2'] = shapes['area_m2']                 # the area Plotlay exported\n",
    "shapes['area_7856'] = shapes.to_crs(7856).area          # the same outlines measured here\n",
    "assert shapes.school_key.is_unique\n",
    "diff = (shapes.area_7856 - shapes.grounds_m2).abs() / shapes.area_7856\n",
    "print(f'{len(shapes)} shapes; largest difference between the Plotlay area and EPSG:7856: {diff.max():.2%}')\n",
    "shapes.source.value_counts()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7727aa79",
   "metadata": {},
   "source": [
    "## The join\n",
    "\n",
    "The key is the whole trick: one shared column. Every school in the tables should have exactly one shape."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "15bf5ce9",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'both': 81, 'left_only': 0, 'right_only': 0}\n"
     ]
    }
   ],
   "source": [
    "g = shapes[['school_key', 'grounds_m2', 'source', 'geometry']].merge(schools.drop(columns=['grounds_m2']), on='school_key', how='right', validate='one_to_one', indicator=True)\n",
    "print(g['_merge'].value_counts().to_dict())\n",
    "g = gpd.GeoDataFrame(g.drop(columns='_merge'), geometry='geometry', crs=4326)\n",
    "long = enrol.merge(g[['school_key', 'school_name', 'level', 'grounds_m2', 'compare']], on='school_key', validate='many_to_one', suffixes=('_t', ''))\n",
    "long['m2_per_student'] = long.grounds_m2 / long.students"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5cee21fe",
   "metadata": {},
   "source": [
    "## Ground per student, 2025\n",
    "\n",
    "Grounds are the land a school sits on, buildings included. They are not floor space and not playground area, and\n",
    "parks or sports grounds next door are not counted. Schools are compared only when they are mainstream (not schools for\n",
    "specific purposes), their outline passed the check on the aerial imagery, and they are not one of the two vertical\n",
    "schools (`compare` is true): see `data/schools/outline_checklist.csv` and the `vertical` column. Students are the\n",
    "department's 2025 headcount."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "bff678fb",
   "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>median</th>\n",
       "      <th>count</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>level</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Primary School</th>\n",
       "      <td>30.3</td>\n",
       "      <td>49</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Secondary School</th>\n",
       "      <td>34.7</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                  median  count\n",
       "level                          \n",
       "Primary School      30.3     49\n",
       "Secondary School    34.7     14"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "66 compared schools: middle half 21.8 to 47.7 m² per student (median 30.7)\n",
      "range 7.0 to 223.0 m²; under 15 m²: 7 schools\n"
     ]
    }
   ],
   "source": [
    "y25 = long[long.year == 2025].copy()\n",
    "cmp25 = y25[y25['compare']]\n",
    "med = cmp25.groupby('level').m2_per_student.agg(['median', 'count']).round(1)\n",
    "display(med.loc[['Primary School', 'Secondary School']])\n",
    "q = cmp25.m2_per_student.quantile([.25, .5, .75]).round(1)\n",
    "print(f\"{len(cmp25)} compared schools: middle half {q[.25]} to {q[.75]} m² per student (median {q[.5]})\")\n",
    "print(f\"range {cmp25.m2_per_student.min():.1f} to {cmp25.m2_per_student.max():.1f} m²; under 15 m²: {(cmp25.m2_per_student < 15).sum()} schools\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "7b37a8f3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 880x660 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "tight = cmp25.sort_values('m2_per_student').head(15).iloc[::-1]\n",
    "fig, ax = plt.subplots(figsize=(8, 6))\n",
    "colours = [BIN_COLOURS[np.digitize(v, BINS[1:-1])] for v in tight.m2_per_student]\n",
    "ax.barh(tight.school_name.str.replace(' School', ''), tight.m2_per_student, color=colours)\n",
    "for lvl, ls in [('Primary School', '--'), ('Secondary School', ':')]:\n",
    "    ax.axvline(med.loc[lvl, 'median'], color=INK, ls=ls, lw=1, label=f\"median {lvl.split()[0].lower()}: {med.loc[lvl, 'median']} m²\")\n",
    "ax.set_xlabel('m² of grounds per student, 2025'); ax.legend(frameon=False, loc='lower right')\n",
    "ax.set_title('The 15 compared schools with the least ground per student', loc='left')\n",
    "plt.tight_layout(); plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c836f325",
   "metadata": {},
   "source": [
    "## The exception: vertical schools\n",
    "\n",
    "Two schools are built as towers on small sites: Inner Sydney High School (14 storeys, opened 2020, for up to 1,200\n",
    "students) and Arthur Phillip High School in Parramatta (rebuilt for 2,000 students, the first high-rise public high\n",
    "school in NSW), both from School Infrastructure NSW. Their land per student says how they were built, not how much room\n",
    "their students have, so they are not compared with low-rise schools: `vertical` is true and `compare` is false. They\n",
    "stay in the data and on the map. Inner Sydney High has its own showcase, which estimates its floor space per student:\n",
    "https://www.getplotlay.com/showcase/inner-sydney-high/"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "46f5028d",
   "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>school_name</th>\n",
       "      <th>students</th>\n",
       "      <th>grounds_m2</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1605</th>\n",
       "      <td>Inner Sydney High School</td>\n",
       "      <td>1161</td>\n",
       "      <td>5687.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1607</th>\n",
       "      <td>Arthur Phillip High School</td>\n",
       "      <td>1636</td>\n",
       "      <td>12374.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                     school_name  students  grounds_m2\n",
       "1605    Inner Sydney High School      1161      5687.0\n",
       "1607  Arthur Phillip High School      1636     12374.0"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "y25[y25.school_name.isin(schools[schools.vertical].school_name)][['school_name', 'students', 'grounds_m2']].round(0)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1400f788",
   "metadata": {},
   "source": [
    "## Make it human scale\n",
    "\n",
    "A standard car space (AS/NZS 2890.1, user class 1A) is 2.4 × 5.4 m, 12.96 m²."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "1485c3f0",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "median primary: 30.3 m², 2.3 car spaces, a square 5.50 m a side\n",
      "median secondary: 34.7 m², 2.7 car spaces, a square 5.89 m a side\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 660x352 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "car = 2.4 * 5.4\n",
    "for lvl in ['Primary School', 'Secondary School']:\n",
    "    m = med.loc[lvl, 'median']; print(f\"median {lvl.split()[0].lower()}: {m} m², {m / car:.1f} car spaces, a square {np.sqrt(m):.2f} m a side\")\n",
    "tight1 = cmp25.sort_values('m2_per_student').iloc[0]; v = tight1.m2_per_student\n",
    "fig, ax = plt.subplots(figsize=(6, 3.2))\n",
    "ax.add_patch(Rectangle((0, 0), 5.4, 2.4, fill=False, ls='--', ec=MUTED, lw=1.5))\n",
    "s = np.sqrt(v); ax.add_patch(Rectangle((0.1, 0.1), s, s, color=RED))\n",
    "for i, (lvl, x0) in enumerate([('Primary School', 7), ('Secondary School', 7 + np.sqrt(med.loc['Primary School', 'median']) + 1)]):\n",
    "    m = med.loc[lvl, 'median']; ax.add_patch(Rectangle((x0, 0), np.sqrt(m), np.sqrt(m), fill=False, ec=INK, lw=1.5))\n",
    "    ax.text(x0, np.sqrt(m) + 0.3, f\"median {lvl.split()[0].lower()}\\n{m} m²\", fontsize=9, color=INK)\n",
    "ax.text(0, 2.7, f\"{tight1.school_name.replace(' School', '')} {v:.1f} m²\\n(tightest) and a car space\", fontsize=9, color=RED)\n",
    "ax.set_xlim(-0.3, 20); ax.set_ylim(-0.3, 7.5); ax.set_aspect('equal'); ax.axis('off')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "386107c8",
   "metadata": {},
   "source": [
    "## The map\n",
    "\n",
    "Coloured by m² of grounds per student in 2025, in the same five bands as the story visuals. Grey: not compared (a\n",
    "school for specific purposes, an outline that could not be checked, or a vertical school). No basemap: nothing is downloaded."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "a27a337d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1210x660 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "m = g.merge(y25[['school_key', 'm2_per_student']], on='school_key', how='left').to_crs(7856)\n",
    "m['band'] = pd.cut(m.m2_per_student, BINS, labels=BIN_LABELS, right=False)\n",
    "fig, axes = plt.subplots(1, 2, figsize=(11, 6), gridspec_kw={'width_ratios': [3, 1]})\n",
    "for ax, box in zip(axes, [(326000, 6243000, 341000, 6255000), (313000, 6252000, 317000, 6256000)]):\n",
    "    for lab, col in zip(BIN_LABELS, BIN_COLOURS):\n",
    "        part = m[(m.band == lab) & m['compare']]\n",
    "        if len(part): part.plot(ax=ax, color=col, edgecolor=INK, lw=0.4)\n",
    "    m[~m['compare']].plot(ax=ax, color='#cfcac0', edgecolor=MUTED, lw=0.4)\n",
    "    ax.set_xlim(box[0], box[2]); ax.set_ylim(box[1], box[3]); ax.set_axis_off(); ax.set_aspect('equal')\n",
    "axes[0].set_title('Inner Sydney', loc='left'); axes[1].set_title('Parramatta', loc='left')\n",
    "handles = [Rectangle((0, 0), 1, 1, color=c) for c in BIN_COLOURS] + [Rectangle((0, 0), 1, 1, color='#cfcac0')]\n",
    "axes[0].legend(handles, BIN_LABELS + ['not compared'], loc='lower left', frameon=False, title='m² per student, 2025')\n",
    "plt.tight_layout(); plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e50c888f",
   "metadata": {},
   "source": [
    "## New schools open a year group at a time\n",
    "\n",
    "Headcount for the schools that opened or were rebuilt since 2015. The new schools climb because they open a year group\n",
    "at a time, a planned staged opening, not a surge in demand (sources in the repository README):\n",
    "\n",
    "| School | Opened with | All year groups from |\n",
    "|---|---|---|\n",
    "| Inner Sydney High | Year 7 (2020) | 2025 (Years 7 to 12) |\n",
    "| Cammeraygal High | Year 7 (2015) | 2020 (Years 7 to 12) |\n",
    "| Anzac Park Public | Kindergarten (2016) | 2017 (K to 6) |\n",
    "| Bayanami Public | Kindergarten (2019) | 2020 (K to 6) |\n",
    "| Green Square Public | Kindergarten to Year 2 (2025) | 2027 (K to 6) |\n",
    "\n",
    "Arthur Phillip High and Alexandria Park Community School are existing schools with new buildings."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "140302f0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1210x605 with 6 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "picks = ['Inner Sydney High School', 'Cammeraygal High School', 'Arthur Phillip High School', 'Anzac Park Public School', 'Alexandria Park Community School', 'Green Square Public School']\n",
    "fig, axes = plt.subplots(2, 3, figsize=(11, 5.5), sharey=True)\n",
    "for ax, n in zip(axes.flat, picks):\n",
    "    s = long[long.school_name == n]\n",
    "    ax.fill_between(s.year, s.students, color=INK, alpha=.15); ax.plot(s.year, s.students, color=INK)\n",
    "    ax.set_title(n.replace(' School', ''), loc='left', fontsize=10); ax.set_xlim(2004, 2025)\n",
    "fig.suptitle('Students, 2004 to 2025', x=0.01, ha='left'); plt.tight_layout(); plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1aaf60ba",
   "metadata": {},
   "source": [
    "## Primary down, high school up\n",
    "\n",
    "Primary and high school totals in the study area. Part of the high school rise is Inner Sydney High and Cammeraygal High\n",
    "still adding year groups after 2019, so the totals are also shown without them. Randwick High is a 2025 merger of Randwick Boys and Randwick Girls\n",
    "High; their earlier headcounts are in `randwick_before_merger` so the high school line is like for like."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "691c52cf",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Primary School: 24,389 (2019) to 20,641 (2025), -15.4%\n",
      "Secondary School: 17,035 (2019) to 19,242 (2025), +13.0%\n",
      "Primary School without Bayanami Public, Green Square Public: -18.3%\n",
      "Secondary School without Inner Sydney High, Cammeraygal High: +4.7%\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 880x385 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "lvl = long[long.level.isin(['Primary School', 'Secondary School'])].groupby(['year', 'level']).students.sum().unstack()\n",
    "pre = pd.read_csv(f'{DATA}/schools/randwick_before_merger.csv').set_index('year').students\n",
    "lvl['Secondary School'] = lvl['Secondary School'].add(pre, fill_value=0)\n",
    "for k in lvl: print(f\"{k}: {lvl.loc[2019, k]:,.0f} (2019) to {lvl.loc[2025, k]:,.0f} (2025), {lvl.loc[2025, k] / lvl.loc[2019, k] - 1:+.1%}\")\n",
    "# without the schools still adding year groups after 2019\n",
    "still = {'Primary School': ['Bayanami Public School', 'Green Square Public School'], 'Secondary School': ['Inner Sydney High School', 'Cammeraygal High School']}\n",
    "for k, names in still.items():\n",
    "    x = lvl[k] - long[long.school_name.isin(names)].groupby('year').students.sum().reindex(lvl.index, fill_value=0)\n",
    "    print(f\"{k} without {', '.join(n.replace(' School', '') for n in names)}: {x.loc[2025] / x.loc[2019] - 1:+.1%}\")\n",
    "ax = lvl.plot(figsize=(8, 3.5), color=[INK, RED]); ax.set_xlabel(''); ax.set_ylabel('students'); ax.legend(frameon=False)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "48329941",
   "metadata": {},
   "source": [
    "## Attendance\n",
    "\n",
    "Semester 1 attendance. There is no 2020 data, and the department says 2021 is not comparable with other years."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "8d657f45",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "mean attendance: {2019: 93.7, 2022: 88.0, 2024: 90.3}\n",
      "68 of 72 schools were below their 2019 attendance in 2024\n",
      "Spearman correlation of ground per student and 2024 attendance: -0.33 (64 schools): no clear link\n"
     ]
    }
   ],
   "source": [
    "a = att.pivot_table(index='school_key', columns='year', values='attendance_pct')\n",
    "print('mean attendance:', a.mean().round(1).loc[[2019, 2022, 2024]].to_dict())\n",
    "both = a[[2019, 2024]].dropna()\n",
    "print(f'{(both[2024] < both[2019]).sum()} of {len(both)} schools were below their 2019 attendance in 2024')\n",
    "r = cmp25.merge(a[2024].rename('att_2024'), left_on='school_key', right_index=True).dropna(subset=['att_2024'])\n",
    "print(f\"Spearman correlation of ground per student and 2024 attendance: {r[['m2_per_student', 'att_2024']].corr('spearman').iloc[0, 1]:.2f} ({len(r)} schools): no clear link\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8c590948",
   "metadata": {},
   "source": [
    "## Caveats\n",
    "\n",
    "- Grounds are land, buildings included: not floor space, not playground area. Parks next door are not counted.\n",
    "- Areas are as picked or drawn and are approximate. Accuracy depends on the cadastre and the imagery.\n",
    "- Headcount, not capacity: the open data has no capacity figures, so nothing here says a school is over capacity.\n",
    "- Suppressed headcounts stay blank.\n",
    "- Grounds per student and attendance are shown side by side; no cause is claimed.\n",
    "- The two vertical schools are in the data and on the map, but not compared on land."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "dbed2af9",
   "metadata": {},
   "source": [
    "## Checks\n",
    "\n",
    "If a shape changes, these catch it."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "b10d7a74",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "all checks passed; 81 schools in the 2025 table\n"
     ]
    }
   ],
   "source": [
    "assert len(cmp25) == 66, len(cmp25)\n",
    "assert 29.5 <= med.loc['Primary School', 'median'] <= 31 and 33.5 <= med.loc['Secondary School', 'median'] <= 36, med\n",
    "assert sorted(schools[schools.vertical].school_name) == ['Arthur Phillip High School', 'Inner Sydney High School']\n",
    "assert not schools[schools.vertical]['compare'].any()\n",
    "assert g.geometry.notna().all() and len(g) == 81\n",
    "out = y25[['school_key', 'school_name', 'level', 'students', 'grounds_m2', 'm2_per_student', 'compare']].round(1)\n",
    "print('all checks passed;', len(out), 'schools in the 2025 table')"
   ]
  }
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