data-exploration.ipynb

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  {
   "cell_type": "code",
   "execution_count": 58,
   "id": "61040d84",
   "metadata": {
    "code_folding": []
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<script>jQuery(function() {if (jQuery(\"body.notebook_app\").length == 0) { jQuery(\".input_area\").toggle(); jQuery(\".prompt\").toggle();}});</script>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<style>.container { width:100% !important; }</style>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import IPython.core.display as di\n",
    "\n",
    "# Hide code by default when the notebook is exported as HTML\n",
    "di.display_html('<script>jQuery(function() {if (jQuery(\"body.notebook_app\").length == 0) { jQuery(\".input_area\").toggle(); jQuery(\".prompt\").toggle();}});</script>', raw=True)\n",
    "\n",
    "# Extend width of page\n",
    "from IPython.core.display import display, HTML\n",
    "display(HTML(\"<style>.container { width:100% !important; }</style>\"))\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "id": "5cb911c7",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import altair as alt\n",
    "\n",
    "df = pd.read_csv('output/pm2_5_hourly_summary.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "07c71ce8",
   "metadata": {
    "code_folding": [
     0
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   "outputs": [],
   "source": [
    "# Filter to Zavala, Douglass, Mesita & Hawkins \n",
    "\n",
    "includeKeywords = [\"Zavala\", \"Douglass\", \"Mesita\", \"Hawkins\"]\n",
    "\n",
    "dsa_str = '|'.join(includeKeywords)\n",
    "\n",
    "mask = df.stack().str.contains(dsa_str).any(level=0)\n",
    "\n",
    "df_masked = df[mask]\n",
    "\n",
    "\n",
    "### --- Build hurly mean and median charts\n",
    "source = df_masked\n",
    "\n",
    "selection = alt.selection_multi(fields=['column_label'], bind='legend')\n",
    "\n",
    "# set colorscale\n",
    "domain = ['ry/Zavala 2 B (undefined) (31.771832 -106.447092) Primary ',\n",
    "          'ry/Zavala E.S (outside) (31.771649 -106.447023) Primary ', \n",
    "          'ry/Zavala E.S B (undefined) (31.771649 -106.447023) Primary ',\n",
    "          'ry/Zavala 2 (outside) (31.771832 -106.447092) Primary ',\n",
    "          'ry/Mesita E.S (outside) (31.783542 -106.50389) Primary ',\n",
    "          'ry/Mesita E.S B (undefined) (31.783542 -106.50389) Primary ',\n",
    "          'ry/Mesita E.S (outside) (31.783542 -106.50389) Primary ',\n",
    "          'ry/Hawkins E.S B (undefined) (31.777423 -106.419229) Primary ',\n",
    "          'ry/Hawkins E.S (outside) (31.777423 -106.419229) Primary ',\n",
    "          'ry/Douglass E.S. B (undefined) (31.766496 -106.464951) Primary ',\n",
    "          'ry/Douglass E.S. (outside) (31.766496 -106.464951) Primary '\n",
    "         ]\n",
    "\n",
    "range_ = ['rgb(57, 59, 121)', 'rgb(82, 84, 163)', 'rgb(107, 110, 207)', 'rgb(156, 158, 222)', \n",
    "          'rgb(99, 121, 57)', 'rgb(140, 162, 82)',\n",
    "          'rgb(132, 60, 57)', 'rgb(173, 73, 74)', \n",
    "          'rgb(140, 109, 49)', 'rgb(189, 158, 57)']\n",
    "\n",
    "chart_mean_all = alt.Chart(source).mark_line().encode(\n",
    "    alt.X('hour'),\n",
    "    alt.Y('mean_pm2_5'),\n",
    "    alt.Color('column_label', scale=alt.Scale(domain=domain, range=range_)),\n",
    "    opacity=alt.condition(selection, alt.value(1), alt.value(0.1))\n",
    ").add_selection(\n",
    "    selection\n",
    ")\n",
    "\n",
    "\n",
    "chart_median_all = alt.Chart(source).mark_line().encode(\n",
    "    alt.X('hour'),\n",
    "    alt.Y('median_pm2_5'),\n",
    "    alt.Color('column_label', scale=alt.Scale(domain=domain, range=range_)),\n",
    "    opacity=alt.condition(selection, alt.value(1), alt.value(0.1))\n",
    ").add_selection(\n",
    "    selection\n",
    ")\n",
    "\n",
    "\n",
    "# Build faceted hourly charts\n",
    "\n",
    "source_melt = pd.melt(df_masked, id_vars=['column_label', 'hour'], value_vars=['mean_pm2_5', 'median_pm2_5'])\n",
    "\n",
    "facet_all = alt.Chart(source_melt).mark_line().encode(\n",
    "    alt.X('hour', scale=alt.Scale(zero=False)),\n",
    "    y='value',\n",
    "    color='variable',\n",
    "    facet=alt.Facet('column_label:O', columns=2),\n",
    ").properties(\n",
    "    width=200,\n",
    "    height=100,\n",
    ")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "0ba85870",
   "metadata": {
    "code_folding": [
     0
    ]
   },
   "outputs": [],
   "source": [
    "# Adjust filter to exclude Zavala 2 (outside) \n",
    "\n",
    "includeKeywords = [\"Zavala E.S B\", \"Zavala E.S\", \"Zavala 2 B\", \"Douglass\", \"Mesita\", \"Hawkins\"]\n",
    "\n",
    "dsa_str = '|'.join(includeKeywords)\n",
    "\n",
    "mask = df.stack().str.contains(dsa_str).any(level=0)\n",
    "\n",
    "df_filtered = df[mask]\n",
    "\n",
    "\n",
    "\n",
    "## Hourly mean and median charts without Zavala 2 (outside)\n",
    "source = df_filtered\n",
    "\n",
    "selection = alt.selection_multi(fields=['column_label'], bind='legend')\n",
    "\n",
    "# set colorscale\n",
    "domain = ['ry/Zavala 2 B (undefined) (31.771832 -106.447092) Primary ',\n",
    "          'ry/Zavala E.S (outside) (31.771649 -106.447023) Primary ', \n",
    "          'ry/Zavala E.S B (undefined) (31.771649 -106.447023) Primary ',\n",
    "          'ry/Mesita E.S (outside) (31.783542 -106.50389) Primary ',\n",
    "          'ry/Mesita E.S B (undefined) (31.783542 -106.50389) Primary ',\n",
    "          'ry/Mesita E.S (outside) (31.783542 -106.50389) Primary ',\n",
    "          'ry/Hawkins E.S B (undefined) (31.777423 -106.419229) Primary ',\n",
    "          'ry/Hawkins E.S (outside) (31.777423 -106.419229) Primary ',\n",
    "          'ry/Douglass E.S. B (undefined) (31.766496 -106.464951) Primary ',\n",
    "          'ry/Douglass E.S. (outside) (31.766496 -106.464951) Primary '\n",
    "         ]\n",
    "\n",
    "range_ = ['rgb(57, 59, 121)', 'rgb(82, 84, 163)', 'rgb(107, 110, 207)', \n",
    "          'rgb(99, 121, 57)', 'rgb(140, 162, 82)',\n",
    "          'rgb(132, 60, 57)', 'rgb(173, 73, 74)', \n",
    "          'rgb(140, 109, 49)', 'rgb(189, 158, 57)']\n",
    "\n",
    "chart_mean_filtered = alt.Chart(source).mark_line().encode(\n",
    "    alt.X('hour'),\n",
    "    alt.Y('mean_pm2_5'),\n",
    "    alt.Color('column_label', scale=alt.Scale(domain=domain, range=range_)),\n",
    "    opacity=alt.condition(selection, alt.value(1), alt.value(0.1))\n",
    ").add_selection(\n",
    "    selection\n",
    ")\n",
    "\n",
    "\n",
    "chart_median_filtered = alt.Chart(source).mark_line().encode(\n",
    "    alt.X('hour'),\n",
    "    alt.Y('median_pm2_5'),\n",
    "    alt.Color('column_label', scale=alt.Scale(domain=domain, range=range_)),\n",
    "    opacity=alt.condition(selection, alt.value(1), alt.value(0.1))\n",
    ").add_selection(\n",
    "    selection\n",
    ")\n",
    "\n",
    "\n",
    "\n",
    "# Build faceted chart\n",
    "\n",
    "# Build faceted hourly median charts\n",
    "\n",
    "source_melt_filtered = pd.melt(df_filtered, id_vars=['column_label', 'hour'], value_vars=['mean_pm2_5', 'median_pm2_5'])\n",
    "\n",
    "facet_filtered = alt.Chart(source_melt_filtered).mark_line().encode(\n",
    "    alt.X('hour', scale=alt.Scale(zero=False)),\n",
    "    y='value',\n",
    "    color='variable',\n",
    "    facet=alt.Facet('column_label:O', columns=2),\n",
    ").properties(\n",
    "    width=200,\n",
    "    height=100,\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "id": "1b8cef55",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1. Mean and median pm2.5 by hour for all Zavala, Hawkins, Douglass, and Mesita monitors\n"
     ]
    },
    {
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(undefined) (31.771649 -106.447023) Primary \", \"hour\": 23, \"mean_pm2_5\": 4.50132478632479, \"median_pm2_5\": 2.76}]}}, {\"mode\": \"vega-lite\"});\n",
       "</script>"
      ],
      "text/plain": [
       "alt.HConcatChart(...)"
      ]
     },
     "execution_count": 61,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Mean and median pm2.5 by hour for all Zavala, Hawkins, Douglass, and Mesita primary sensors\n",
    "print('1. Mean and median pm2.5 by hour for all Zavala, Hawkins, Douglass, and Mesita monitors')\n",
    "\n",
    "chart_mean_all | chart_median_all"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "id": "45361c0f",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2. Mean and median pm2.5 by hour (excluding Zavala 2 (outside))\n"
     ]
    },
    {
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5.76757892346128, \"median_pm2_5\": 3.32}, {\"Unnamed: 0\": 716, \"column_label\": \"ry/Zavala E.S B (undefined) (31.771649 -106.447023) Primary \", \"hour\": 19, \"mean_pm2_5\": 5.10096744924578, \"median_pm2_5\": 3.0}, {\"Unnamed: 0\": 717, \"column_label\": \"ry/Zavala E.S B (undefined) (31.771649 -106.447023) Primary \", \"hour\": 20, \"mean_pm2_5\": 4.83605875014177, \"median_pm2_5\": 2.82}, {\"Unnamed: 0\": 718, \"column_label\": \"ry/Zavala E.S B (undefined) (31.771649 -106.447023) Primary \", \"hour\": 21, \"mean_pm2_5\": 4.49645649717514, \"median_pm2_5\": 2.75}, {\"Unnamed: 0\": 719, \"column_label\": \"ry/Zavala E.S B (undefined) (31.771649 -106.447023) Primary \", \"hour\": 22, \"mean_pm2_5\": 4.18933664259928, \"median_pm2_5\": 2.58}, {\"Unnamed: 0\": 720, \"column_label\": \"ry/Zavala E.S B (undefined) (31.771649 -106.447023) Primary \", \"hour\": 23, \"mean_pm2_5\": 4.50132478632479, \"median_pm2_5\": 2.76}]}}, {\"mode\": \"vega-lite\"});\n",
       "</script>"
      ],
      "text/plain": [
       "alt.HConcatChart(...)"
      ]
     },
     "execution_count": 60,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Mean and median pm2.5 by hour (excluding Zavala 2 (outside))\n",
    "print('2. Mean and median pm2.5 by hour (excluding Zavala 2 (outside))')\n",
    "\n",
    "chart_mean_filtered | chart_median_filtered"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "id": "c9f2baa6",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "3. Mean and median pm2.5 by hour (excluding Zavala 2 (outside))\n"
     ]
    },
    {
     "data": {
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3.15}, {\"column_label\": \"ry/Zavala 2 B (undefined) (31.771832 -106.447092) Primary \", \"hour\": 12, \"variable\": \"median_pm2_5\", \"value\": 3.84}, {\"column_label\": \"ry/Zavala 2 B (undefined) (31.771832 -106.447092) Primary \", \"hour\": 13, \"variable\": \"median_pm2_5\", \"value\": 4.02}, {\"column_label\": \"ry/Zavala 2 B (undefined) (31.771832 -106.447092) Primary \", \"hour\": 14, \"variable\": \"median_pm2_5\", \"value\": 3.67}, {\"column_label\": \"ry/Zavala 2 B (undefined) (31.771832 -106.447092) Primary \", \"hour\": 15, \"variable\": \"median_pm2_5\", \"value\": 3.09}, {\"column_label\": \"ry/Zavala 2 B (undefined) (31.771832 -106.447092) Primary \", \"hour\": 16, \"variable\": \"median_pm2_5\", \"value\": 2.82}, {\"column_label\": \"ry/Zavala 2 B (undefined) (31.771832 -106.447092) Primary \", \"hour\": 17, \"variable\": \"median_pm2_5\", \"value\": 2.65}, {\"column_label\": \"ry/Zavala 2 B (undefined) (31.771832 -106.447092) Primary \", \"hour\": 18, \"variable\": \"median_pm2_5\", \"value\": 2.385}, {\"column_label\": \"ry/Zavala 2 B (undefined) (31.771832 -106.447092) Primary \", \"hour\": 19, \"variable\": \"median_pm2_5\", \"value\": 2.07}, {\"column_label\": \"ry/Zavala 2 B (undefined) (31.771832 -106.447092) Primary \", \"hour\": 20, \"variable\": \"median_pm2_5\", \"value\": 1.87}, {\"column_label\": \"ry/Zavala 2 B (undefined) (31.771832 -106.447092) Primary \", \"hour\": 21, \"variable\": \"median_pm2_5\", \"value\": 1.79}, {\"column_label\": \"ry/Zavala 2 B (undefined) (31.771832 -106.447092) Primary \", \"hour\": 22, \"variable\": \"median_pm2_5\", \"value\": 1.55}, {\"column_label\": \"ry/Zavala 2 B (undefined) (31.771832 -106.447092) Primary \", \"hour\": 23, \"variable\": \"median_pm2_5\", \"value\": 1.73}, {\"column_label\": \"ry/Zavala E.S (outside) (31.771649 -106.447023) Primary \", \"hour\": 0, \"variable\": \"median_pm2_5\", \"value\": 3.17}, {\"column_label\": \"ry/Zavala E.S (outside) (31.771649 -106.447023) Primary \", \"hour\": 1, \"variable\": \"median_pm2_5\", \"value\": 3.6}, {\"column_label\": \"ry/Zavala E.S (outside) (31.771649 -106.447023) Primary \", \"hour\": 2, \"variable\": \"median_pm2_5\", \"value\": 4.18}, {\"column_label\": \"ry/Zavala E.S (outside) (31.771649 -106.447023) Primary \", \"hour\": 3, \"variable\": \"median_pm2_5\", \"value\": 4.47}, {\"column_label\": \"ry/Zavala E.S (outside) (31.771649 -106.447023) Primary \", \"hour\": 4, \"variable\": \"median_pm2_5\", \"value\": 4.47}, {\"column_label\": \"ry/Zavala E.S (outside) (31.771649 -106.447023) Primary \", \"hour\": 5, \"variable\": \"median_pm2_5\", \"value\": 4.48}, {\"column_label\": \"ry/Zavala E.S (outside) (31.771649 -106.447023) Primary \", \"hour\": 6, \"variable\": \"median_pm2_5\", \"value\": 4.1}, {\"column_label\": \"ry/Zavala E.S (outside) (31.771649 -106.447023) Primary \", \"hour\": 7, \"variable\": \"median_pm2_5\", \"value\": 3.98}, {\"column_label\": \"ry/Zavala E.S (outside) (31.771649 -106.447023) Primary \", \"hour\": 8, \"variable\": \"median_pm2_5\", \"value\": 3.78}, {\"column_label\": \"ry/Zavala E.S (outside) (31.771649 -106.447023) Primary \", \"hour\": 9, \"variable\": \"median_pm2_5\", \"value\": 3.745}, {\"column_label\": \"ry/Zavala E.S (outside) (31.771649 -106.447023) Primary \", \"hour\": 10, \"variable\": \"median_pm2_5\", \"value\": 3.69}, {\"column_label\": \"ry/Zavala E.S (outside) (31.771649 -106.447023) Primary \", \"hour\": 11, \"variable\": \"median_pm2_5\", \"value\": 3.86}, {\"column_label\": \"ry/Zavala E.S (outside) (31.771649 -106.447023) Primary \", \"hour\": 12, \"variable\": \"median_pm2_5\", \"value\": 4.42}, {\"column_label\": \"ry/Zavala E.S (outside) (31.771649 -106.447023) Primary \", \"hour\": 13, \"variable\": \"median_pm2_5\", \"value\": 4.65}, {\"column_label\": \"ry/Zavala E.S (outside) (31.771649 -106.447023) Primary \", \"hour\": 14, \"variable\": \"median_pm2_5\", \"value\": 4.57}, {\"column_label\": \"ry/Zavala E.S (outside) (31.771649 -106.447023) Primary \", \"hour\": 15, \"variable\": \"median_pm2_5\", \"value\": 4.15}, {\"column_label\": \"ry/Zavala E.S (outside) (31.771649 -106.447023) Primary \", \"hour\": 16, \"variable\": \"median_pm2_5\", \"value\": 3.8}, {\"column_label\": \"ry/Zavala E.S (outside) (31.771649 -106.447023) Primary \", \"hour\": 17, \"variable\": \"median_pm2_5\", \"value\": 3.75}, {\"column_label\": \"ry/Zavala E.S (outside) (31.771649 -106.447023) Primary \", \"hour\": 18, \"variable\": \"median_pm2_5\", \"value\": 3.43}, {\"column_label\": \"ry/Zavala E.S (outside) (31.771649 -106.447023) Primary \", \"hour\": 19, \"variable\": \"median_pm2_5\", \"value\": 3.1}, {\"column_label\": \"ry/Zavala E.S (outside) (31.771649 -106.447023) Primary \", \"hour\": 20, \"variable\": \"median_pm2_5\", \"value\": 2.89}, {\"column_label\": \"ry/Zavala E.S (outside) (31.771649 -106.447023) Primary \", \"hour\": 21, \"variable\": \"median_pm2_5\", \"value\": 2.78}, {\"column_label\": \"ry/Zavala E.S (outside) (31.771649 -106.447023) Primary \", \"hour\": 22, \"variable\": \"median_pm2_5\", \"value\": 2.62}, {\"column_label\": \"ry/Zavala E.S (outside) (31.771649 -106.447023) Primary \", \"hour\": 23, \"variable\": \"median_pm2_5\", \"value\": 2.74}, {\"column_label\": \"ry/Zavala E.S B (undefined) (31.771649 -106.447023) Primary \", \"hour\": 0, \"variable\": \"median_pm2_5\", \"value\": 3.19}, {\"column_label\": \"ry/Zavala E.S B (undefined) (31.771649 -106.447023) Primary \", \"hour\": 1, \"variable\": \"median_pm2_5\", \"value\": 3.64}, {\"column_label\": \"ry/Zavala E.S B (undefined) (31.771649 -106.447023) Primary \", \"hour\": 2, \"variable\": \"median_pm2_5\", \"value\": 4.15}, {\"column_label\": \"ry/Zavala E.S B (undefined) (31.771649 -106.447023) Primary \", \"hour\": 3, \"variable\": \"median_pm2_5\", \"value\": 4.495}, {\"column_label\": \"ry/Zavala E.S B (undefined) (31.771649 -106.447023) Primary \", \"hour\": 4, \"variable\": \"median_pm2_5\", \"value\": 4.53}, {\"column_label\": \"ry/Zavala E.S B (undefined) (31.771649 -106.447023) Primary \", \"hour\": 5, \"variable\": \"median_pm2_5\", \"value\": 4.55}, {\"column_label\": \"ry/Zavala E.S B (undefined) (31.771649 -106.447023) Primary \", \"hour\": 6, \"variable\": \"median_pm2_5\", \"value\": 4.17}, {\"column_label\": \"ry/Zavala E.S B (undefined) (31.771649 -106.447023) Primary \", \"hour\": 7, \"variable\": \"median_pm2_5\", \"value\": 4.06}, {\"column_label\": \"ry/Zavala E.S B (undefined) (31.771649 -106.447023) Primary \", \"hour\": 8, \"variable\": \"median_pm2_5\", \"value\": 3.86}, {\"column_label\": \"ry/Zavala E.S B (undefined) (31.771649 -106.447023) Primary \", \"hour\": 9, \"variable\": \"median_pm2_5\", \"value\": 3.79}, {\"column_label\": \"ry/Zavala E.S B (undefined) (31.771649 -106.447023) Primary \", \"hour\": 10, \"variable\": \"median_pm2_5\", \"value\": 3.74}, {\"column_label\": \"ry/Zavala E.S B (undefined) (31.771649 -106.447023) Primary \", \"hour\": 11, \"variable\": \"median_pm2_5\", \"value\": 4.02}, {\"column_label\": \"ry/Zavala E.S B (undefined) (31.771649 -106.447023) Primary \", \"hour\": 12, \"variable\": \"median_pm2_5\", \"value\": 4.58}, {\"column_label\": \"ry/Zavala E.S B (undefined) (31.771649 -106.447023) Primary \", \"hour\": 13, \"variable\": \"median_pm2_5\", \"value\": 4.77}, {\"column_label\": \"ry/Zavala E.S B (undefined) (31.771649 -106.447023) Primary \", \"hour\": 14, \"variable\": \"median_pm2_5\", \"value\": 4.67}, {\"column_label\": \"ry/Zavala E.S B (undefined) (31.771649 -106.447023) Primary \", \"hour\": 15, \"variable\": \"median_pm2_5\", \"value\": 4.1}, {\"column_label\": \"ry/Zavala E.S B (undefined) (31.771649 -106.447023) Primary \", \"hour\": 16, \"variable\": \"median_pm2_5\", \"value\": 3.71}, {\"column_label\": \"ry/Zavala E.S B (undefined) (31.771649 -106.447023) Primary \", \"hour\": 17, \"variable\": \"median_pm2_5\", \"value\": 3.63}, {\"column_label\": \"ry/Zavala E.S B (undefined) (31.771649 -106.447023) Primary \", \"hour\": 18, \"variable\": \"median_pm2_5\", \"value\": 3.32}, {\"column_label\": \"ry/Zavala E.S B (undefined) (31.771649 -106.447023) Primary \", \"hour\": 19, \"variable\": \"median_pm2_5\", \"value\": 3.0}, {\"column_label\": \"ry/Zavala E.S B (undefined) (31.771649 -106.447023) Primary \", \"hour\": 20, \"variable\": \"median_pm2_5\", \"value\": 2.82}, {\"column_label\": \"ry/Zavala E.S B (undefined) (31.771649 -106.447023) Primary \", \"hour\": 21, \"variable\": \"median_pm2_5\", \"value\": 2.75}, {\"column_label\": \"ry/Zavala E.S B (undefined) (31.771649 -106.447023) Primary \", \"hour\": 22, \"variable\": \"median_pm2_5\", \"value\": 2.58}, {\"column_label\": \"ry/Zavala E.S B (undefined) (31.771649 -106.447023) Primary \", \"hour\": 23, \"variable\": \"median_pm2_5\", \"value\": 2.76}]}}, {\"mode\": \"vega-lite\"});\n",
       "</script>"
      ],
      "text/plain": [
       "alt.Chart(...)"
      ]
     },
     "execution_count": 59,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Mean and median pm2.5 by hour (excluding Zavala 2 (outside))\n",
    "print('3. Mean and median pm2.5 by hour (excluding Zavala 2 (outside))')\n",
    "facet_filtered"
   ]
  }
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