{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "ch07-plot-families-title",
   "metadata": {},
   "source": [
    "# Seaborn Plot Families"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "ch07-shared-setup",
   "metadata": {
    "tags": [
     "hide-input",
     "thebe-init",
     "runnable"
    ]
   },
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "\n",
    "sns.set_theme(style='whitegrid', context='notebook')\n",
    "tips = sns.load_dataset('tips')\n",
    "planets = sns.load_dataset('planets')\n",
    "iris = sns.load_dataset('iris')\n",
    "penguins = sns.load_dataset('penguins')\n",
    "data = tips[['total_bill', 'tip']]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "204bd7ce",
   "metadata": {},
   "source": [
    "```{contents}\n",
    ":local:\n",
    ":depth: 2\n",
    "```\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0702-classroom-practice-path",
   "metadata": {},
   "source": [
    "**Recommended classroom practice**\n",
    "\n",
    "Use the exercises below as the core practice path for this section. Additional practice reinforces the same skills; optional extensions explore more advanced tools. These labels guide your study and classroom work. Follow your instructor's directions and the separate Lab and Homework instructions for assigned work.\n",
    "\n",
    "1. **Histogram for Total Bill**.\n",
    "2. **Scatter with Semantic Mapping**.\n",
    "3. **Typical Speed and Consistency**.\n",
    "4. **Equal Means, Different Reliability**.\n",
    "5. **Choose a Chart for the Manager**.\n",
    "\n",
    "The two delivery exercises answer different questions: one compares median and IQR; the other shows why equal means can hide different reliability. Finish with the chart-choice exercise to apply those distinctions independently.\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "chart-selection-guide",
   "metadata": {},
   "source": [
    "**Choose a chart from the question**\n",
    "\n",
    "Before writing a plotting call, identify what one row represents, whether each variable is numerical or categorical, and what you want to compare. A numerical variable measures an amount; a categorical variable identifies a group. Choose the chart before choosing its colors or other style settings.\n",
    "\n",
    "```{index} Chart selection\n",
    "```\n",
    "\n",
    "| Business question | Data needed | Starting chart | Seaborn function |\n",
    "|---|---|---|---|\n",
    "| How are individual order values distributed? | One numerical variable | Histogram | `histplot()` |\n",
    "| How many orders came through each channel? | One categorical variable, with one row per order | Count plot | `countplot()` |\n",
    "| How do typical delivery times and variability differ by method? | A numerical variable and a categorical group | Box plot | `boxplot()` |\n",
    "| How do advertising spend and revenue relate? | Two numerical variables | Scatter plot | `scatterplot()` |\n",
    "| How does monthly revenue change over time? | Ordered time and a numerical value | Line plot | `lineplot()` |\n",
    "| How do mean order values compare across channels? | A numerical variable and a categorical group | Mean bar plot | `barplot()` |\n",
    "\n",
    "**Counts, summaries, and distributions answer different questions.** A count plot counts rows; a mean bar plot summarizes a numerical column within each group; a box plot shows the median and spread. If a row contains a monthly total rather than one order, counting rows counts months, not orders. For example, to compare typical delivery time and consistency, start with a box plot rather than a bar plot of means.\n",
    "\n",
    "Use `hue` to distinguish groups in one panel. When overlapping groups become hard to read, use facets to put the same chart in separate panels. Use lines when the horizontal axis has a meaningful order, such as consecutive months; unrelated categories do not form a time trend.\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ch07-distribution-parent",
   "metadata": {},
   "source": [
    "## Distribution Plots"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "62ccb852",
   "metadata": {},
   "source": [
    "### Histogram\n",
    "\n",
    "A histogram groups values into **bins** and shows **frequency** in each bin. `histplot()` is an **axes-level function that returns an `Axes` object** for further customization."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "c4c44703",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 400x300 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = sns.histplot(data=tips, x='total_bill')    ### sns.PLOT-TYPE(data=df, x='col_a', y='col_b', hue='col_c')\n",
    "ax.set_title('Histogram of Total Bill')\n",
    "ax.set_xlabel('Total Bill ($)')\n",
    "ax.set_ylabel('Frequency')  \n",
    "ax.figure.set_size_inches(4, 3)\n",
    "plt.tight_layout()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9caef888",
   "metadata": {},
   "source": [
    "- To control figure size, create an axes with Matplotlib and pass `ax=`.\n",
    "- Changing `bins=` changes how values are grouped. More bins can expose detail, but can also make random variation look like a pattern. Compare several choices without changing the underlying observations."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "43716c21",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='total_bill', ylabel='Count'>"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 400x300 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(4, 3))\n",
    "sns.histplot(data=tips, x='total_bill', bins=30, ax=ax)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "e4f37290",
   "metadata": {
    "tags": [
     "thebe-interactive"
    ]
   },
   "outputs": [],
   "source": [
    "### Exercise: Histogram for Total Bill\n",
    "# Practice path: Core classroom practice.\n",
    "# The manager wants to see how large bills usually are.\n",
    "#   1. Create a figure and axes about 5 inches wide and 3 inches tall.\n",
    "#   2. Use sns.histplot() to draw a histogram of total_bill on those axes, with 20 bins.\n",
    "#   3. Set the title to 'Total Bill Distribution'.\n",
    "# In a comment, describe the distribution: where are bills concentrated, and which way does the tail extend?\n",
    "# Also explain one limitation: Can this combined histogram tell you which day has the largest typical bill?\n",
    "### Your code starts here.\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "### Your code ends here.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "c730e223",
   "metadata": {
    "tags": [
     "hide-input"
    ]
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Total Bill Distribution')"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 500x300 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "### Solution\n",
    "fig, ax = plt.subplots(figsize=(5, 3))\n",
    "sns.histplot(data=tips, x='total_bill', bins=20, ax=ax)\n",
    "ax.set_title('Total Bill Distribution')\n",
    "# Finding: Most bills are below $30, with a tail toward larger bills.\n",
    "# Limitation: The chart combines days, so a comparison by day needs a grouping variable or separate panels.\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "44bc6f3b",
   "metadata": {},
   "source": [
    "#### Bins, Alpha, and KDE\n",
    "\n",
    "Three common controls:\n",
    "- `bins`: granularity of histogram bars\n",
    "- `alpha`: transparency\n",
    "- `kde=True`: overlay smooth density estimate\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "0fbbdbd1",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x300 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, axes = plt.subplots(1, 2, figsize=(8, 3))\n",
    "bins = [30, 10]\n",
    "for i, col in enumerate(data.columns):\n",
    "    sns.histplot(data[col], bins=bins[i], label=col, ax=axes[i])\n",
    "    axes[i].set_title(f'{col} w/ sns.histplot()')\n",
    "    axes[i].legend()\n",
    "plt.tight_layout()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "fa6c0048",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x300 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, axes = plt.subplots(1, 2, figsize=(8, 3))\n",
    "for i, col in enumerate(data.columns[:2]):\n",
    "    sns.histplot(data[col], alpha=0.25, bins=30, ax=axes[i])\n",
    "    axes[i].set_title(f'{col} alpha=0.25')\n",
    "plt.tight_layout()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8a9e2936",
   "metadata": {},
   "source": [
    "To overlay KDE, set keyword argument `kde=True` when plotting."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "2fc59211",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x300 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, axes = plt.subplots(1, 2, figsize=(8, 3))\n",
    "for i, col in enumerate(data.columns):\n",
    "    ### add kde=True for kernel density estimate overlay\n",
    "    sns.histplot(data[col], alpha=0.5, bins=30, kde=True, ax=axes[i]) \n",
    "    axes[i].set_title(f'{col} + kde=True')\n",
    "plt.tight_layout()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "b3bc669f",
   "metadata": {
    "tags": [
     "thebe-interactive"
    ]
   },
   "outputs": [],
   "source": [
    "### Exercise: Compare Histogram Settings\n",
    "# Practice path: Additional practice.\n",
    "# The manager wants to know whether a histogram's shape depends on how it is drawn.\n",
    "#   1. Create two side-by-side axes, about 8 inches wide and 3 inches tall in total.\n",
    "#   2. On the left axes, use sns.histplot() to draw tip with 10 bins. Title it 'bins=10'.\n",
    "#   3. On the right axes, draw tip with 30 bins, see-through bars (alpha 0.4),\n",
    "#      and a smooth density curve. Title it 'bins=30, alpha=0.4, kde=True'.\n",
    "#   4. Keep the two panels from overlapping.\n",
    "#   5. In a comment, answer: what does the 30-bin version show that the 10-bin version hides?\n",
    "# Also explain one limitation: Did the extra peaks appear because the underlying tip values changed?\n",
    "### Your code starts here.\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "### Your code ends here.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "ff15df11",
   "metadata": {
    "tags": [
     "hide-input"
    ]
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x300 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "### Solution\n",
    "fig, axes = plt.subplots(1, 2, figsize=(8, 3))\n",
    "\n",
    "sns.histplot(tips['tip'], bins=10, ax=axes[0])\n",
    "axes[0].set_title('bins=10')\n",
    "\n",
    "sns.histplot(tips['tip'], bins=30, alpha=0.4, kde=True, ax=axes[1])\n",
    "axes[1].set_title('bins=30, alpha=0.4, kde=True')\n",
    "\n",
    "plt.tight_layout()\n",
    "# Answer: Narrower bins reveal concentrations near $2 and $3 that merge into\n",
    "# broader bars with 10 bins. The histogram does not establish why those values\n",
    "# are common or whether an individual customer rounded a tip.\n",
    "# Limitation: The values are unchanged. Narrower bins reveal detail but can also make the sample look more irregular.\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a25b1c0c",
   "metadata": {},
   "source": [
    "### KDE / Density\n",
    "\n",
    "KDE is a smooth estimate of a distribution. It is often useful alongside histograms.\n",
    "\n",
    "**Read a density curve**\n",
    "\n",
    "Read the horizontal axis as the measured amount. The vertical axis is **density**, not a count of customers and not the probability of one exact value. The area under a single normalized density curve is one; the area over an interval represents an estimated share of observations. When groups share normalization, their total areas may differ, so do not infer group size or typical spending from peak height alone.\n",
    "\n",
    "A KDE is estimated from the observations using smoothing. More smoothing can merge peaks; less smoothing can make small irregularities look like separate peaks. Compare the curve with the actual observations or a histogram, especially for small samples. A smooth curve is not evidence that you have a large or representative sample.\n",
    "\n",
    "Smoothing can also extend a curve beyond meaningful boundaries, such as negative bill amounts. Such an extension does not mean the sample contains negative bills. For discrete counts such as party size, a count plot or histogram often communicates the observations more directly.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "3044eb88",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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tUsJg2LBheOONN1Tsq1TfEGT9EHbu3KkuWGW9kCQ6ESQSSiNVMB555BF1THcS5WR9krAcqdoh9yVc55577onRJ05uKBsSQ4FAq4fa21gLn8cFszW62v6EJCqUDUmqQIirR2gfz5qWloa6urqozrlr1y4VJ3buuecqN5JobvJFyPkkm17eM1T8rLyn03mssVqkiLYpsbKJhD6/+m0wnqYmuN1u+GxetHg1ldAqn6GptgbmtMTScpNhPlMR+XvQm/p0J54zFLp1Rm5jfe5QfOtb31IdOsXF/N577ymB8Itf/EIl544ZM0Yt+pIkJ2MRS7cs3L/97W+xb98+/M///A8qKytVAyFBLNSSaCsNiDZv3ozhw4f7q5pF8Fnk2G9+85vq/JLEKxezEiYjZQPlHHrJPn3+5Xj9vv5c8Hu1n0/9OPmt6se3f/9E7ixM2RDftczZVK+80x6PF5pN5IGGxtIDsPYd1MsjTQ4oG/z4vP61prbBEXLdCRd/Izl/mHW4SAM5fQyRyBTKhuhlg0mLY2cMqa8r1qBNmza1SWSTxVy0tyeffPK4rw9u4a0jr5Mfd7ALWxJc5FwiMO677z71xerluHTEVf6jH/0oqiz3LVu2dEvbjAfmxkrYS7fBl5EH1+DJSNu/DiZ3C1yDJsGXWRDv4ZEEQWI/peqNXESR5EHWQEkYFsNAZ8jFstQtT0QoG+JL+p7/In3vajiGzwA8LmQcWIvGKfPhLh4X76GRBJYNVbUO3LzsE7g80SsP3cFuNWPpjV9Fv/zomtgZAWcMZUNcPRC6u7iiogJDhw4N7JfHejxapMgHb29FEi1SLEBiaRI3k7icgpEFvra2VrnHo0WSW+LV2rwzRMPcv3+/0oLbx865KzPh8FTBmleEjPHj4bDUw330MNKK+8I+KLq5T3WON5+putAcOXJECYjgi7hYIHYLOb+cO5Et4clCqPkUAS/raijlTxKKExnKhviuZQ3VX6DZZkO/wkL122o5kobiDBOyx4+Py3gTHcoGP4OL0/H4rWcFvAHRoEGD2+WCzW6HKcKaf9IBu7Ag9ec/UWRDXBWIcePGITs7W8WN6UJCXMxbt27F5ZdfHtVEnXPOObjkkkuUaynYCiTJceIKkpJcDz74oCq3JTFueiZ9qNJZkSBfjB4fl2jIgtZ+bA6bDV6bDfbMLPWcue8ANNdXwOpuTtjPkcjzmYpIXLhsUiUp0kpJXaG7WFUZ4RifO54888wzqvzo8RD3uHQu7cn5lE2+O/mthlL+El1po2yI71rWAh/MFlug6osrKx++owcT9nMkCpQNQHG/bBT3695aJpXUZN2ibEhs2RBXBUKsQSIMZNGWBh2DBg1SMaliCZKGP/LBq6urlcs5HAuofHAREsuXL8eIESNw4oknYvXq1Xj22WdVPW9BaoNPmzZNJdxJUopYn6T0nwgWI5Xpg6+1jKvZ/wdqyfE3SPE0VMd1WIQkMxJPK2vX8ejbt2+vjSdZoWyILz63C2iVDYIlpwCOkp0JnztDSKLyrRSUDXFvJCdxrhKLJV33ROsUK5As8mL5KCkpwZw5c7B48WKVuBIOt9xyi7JcSeMPqdYhpa9EQMiXJ8jiJ91NJdP+qquuUi6c8847TyXRGAm9D4RU2RCs2QXKXSgNhHzOFiZSExIFUiK0szKhJDIoG+KH5nHCFFSL3prbD85D2+GpLYetoDiuYyMkGclLQdkQdwVC3Cm33nqr2tojC7zeHTAUkjHfHontkgobx2vkIVresmXLYGT0PhC6B8JktcGSlQdPU63qOmovHBLnERJCjAxlQ/zQ3M52Hgh/TIrj0HYqEIQQBQv+GxU9hKnVAxEcxuRtqo3bsAghhMQXn1s8EMcUCLPNDnNmHpxHdsV1XISQxIEKhEHR9Pq/QW5qS2auuvW2NMRrWIQQQhLMA6HLB2f5/riNiRCSWFCBMCqtCoTJFOSmzvTXR/c118dtWIQQQhLLA6ErEFLqmxBCBCoQBkXTOnogzBl+BcLb0hjoXkgIIcRYaB53Bw+EOSMbvpYGVWSDEELinkRN4kSrAmEyBSkQdn/lJc3nheZ1w2Rt23SJEEJI6qN5XDDb25bHNadlqVtPfSXshcea+xESjKeuEt7m6MOgvT6vaiRnstthaafEdoVEUVjzCqN+bxIZVCAMiigJ7T0QklBtttrg87ihuRwAFQiSIkjX1I0bN+KCCy7A2WefjUsvvRQ33HBDvIdFSEKitesDIeilvT31R6lAkE6Vh0NP3agU0HggRs8hP14WkRJB2RA9VCCMngPRTkiYbOmAxw2fqyWQVE1IsrNw4ULVjEyExMsvv6xq/BNCQqM80O1lQ6uH2ttYE6dRkURHPA+iPGSOPRXmaK8ffD54vF5YpQt1kIGzy5c116N5xxo1hkgUCMqG6KECYVT0HIigECbdyiRVmBjnSlIV6WxMCOkcZUFur0CYzTDZ0ljmm3SJKA/SnDbaCpGaxwOL1dqmmWFXtLbG7RaUDZFBBcKghAphEkytca+qjB8hKcAVV1yBtWvXqvv6re6mfvTRR/HJJ5/g9NNPx/PPPw+v14tzzjlHdSiWrsWEGJFQHgg9T87TVBeXMRESaygbugerMMHoZVzbeSBa8x7iFcNIEh+p0CUXGN3bPEFbhK+NsEKYCIKpU6fia1/7mnJRt2fLli34+OOPsWLFCjz++ONYt24d/t//+38xnDFCksy4JPIhhAJhkhw5lvkmKQJlQ/egBwJGL+Pazk2tKxCSREdIO+TivWHTuyqRslvnkThXjwfOCN3UgjW3H3Imnw2TyRTW8fn5+bDZbEhPTw/popbzPPzww+jfv796fPfdd+O6667D3r17MWLEiIjGRkiyI0q9EOrvUuQDG42SVIGyoXvQA2FUWkOY2gsJiXFVT9MDQTolvAv3ZGH48OEBASFMmzZN3e7cuTOOoyIkPgS8z6E8EDY7vAxhIgaBsuH40ANhdA9EuxCmgAfCwxwIgpAWGbH+w9e9lDWv1weHw6EsPxZLhHYMszVs70M4iAWq7dj8yrVFqoAQYjAkgfW4HogGVmEixoCy4fhQgTAqnZVxDSgQ7rgMiyQ+6uLdYuveOeBVfUf8W3wX43379qGhoQE5Of5O7FITXJgwYUJcx0VIPNC8rR4IU6gcCDt8zubeHxQhcYCy4fgwhMmodFbG1cYkapJ6ZGVl4fDhwygrK+vwXHNzM2677TbllpaqG/feey/OP/98VRucEKOhG49MnSVRO5sjLmRASKJC2RA99EAYFEliVbTPgWi1LDOJmqQS3/nOd1TDoK9//evIyPA3xNIZMGAAxo8fj+9///vKNX3RRRdhwYIFcRsrIfEk4H0OFcJksSvjk+ZywNTamZqQ9kilrqiDXH0+FSpkiqKRXDRQNkQPFQij0kkZV7EwCXq5zFjGmhMSL2bPno01a9aEfM5sNuPGG29UGyFGR9b+znMg/PJBvBDSdJSQYCyZOSrMTTpCxwN5bxlDJFA2RA8VCIMmUGtodUG3FxIW/09CuaglzClEHCwhhJBU90CEDmES/HkQfXt7aCTBseYVYsiPl8HbHH2pX6/PC5fLBbvdDkuI3+DxEOVBxkB6ByoQRkTvQh2qjGurAqELEpOdCgQhhBjOA9HOOx0c4spEatIZcgHfnYt4CV/SHA6kqQp9vP5IZJhEbeT8B6F9CJPJHEie0xsKEZKq3HDDDXjvvffiPQxCktADQUjqQtmQJAqEz+fDsmXLMGvWLEyZMkV1+jt06FBYr7v22mtVO/L2+5999lmce+656nwXXHABXnrppTbHPPnkkxg7dmyHzUgVmEzSECyUlSkoD4IQQuIFZUPvEzAchfRA+D3UVCAIIQkRwvTEE0/ghRdewP3334/i4mIsWbJELf4rV65UcXChkBg5aSv+0UcfYfLkyW2ee/rpp7FixQosWrQIJ554IlavXo177rlHNQW55JJL1DE7duzAxRdfjFtvvRWGI6gCU6gk6UAYEz0QhJA4QtmQWEnUeo6cz9XS28MihCQYcfdAyGIvC7pkuUs2/Lhx4/DQQw+pmrxvv/12yNd89tlnmD9/PtavX4/c3NwOz//lL3/B1Vdfrer1Dh06FN/+9reVQAi2NEldX2kGUlhY2GYzVAhTCAtTm1Ku9EAQPaGeJBWp8J1RNiRgGVeRGRarKuNKSCqsM0ZDi+F3FncFYvv27WhqasLMmTMD+2ThlwV83bp1IV/zwQcfKJf2a6+9FugQGOyifuCBB3DppZd2KMdVX18fEEz79+/HiBEjYEj0EKZOaizrHgjNQw+EkRGrrN5MhyQX+nemf4fJCGVDnBDPs8kUMolaNzD5nPRAGBnKhuQllrIh7iFMevc/adgRTFFRUcjOgMJNN93U6flEGAQLHOHIkSN44403VMMQYffu3SrT/6233sJ9990Hp9OJ6dOnK5e1vK9Rm8h19EBQgTAyUgEjPz8fFRUV6nFmZmbM+oLI35/83envQ2Izn2Jdklv5zuS7S+a5pWyID8rzfJzymaobNUOYDA1lQ/LQk7Ih7gpES4t/IWofz5qWloa6urpun7+qqkol3vXt2xc/+clPAi5qQboOPvLIIzh69CiWLl2KK6+8Ulmu0tPTI34f+XISTRvX51a/1fE2N8LtdsNstoccs8vrU8+3NDXAm2CfKRHnM5URi6/8Fjq7YIsW+XuRhU0WMTYrjP18ivVdvrvO1qRkaBJJ2RCftczZ0qz6/8jffUjMFriaGxLuM8UTyobYQdmQPLIh7gqEviCL6zh4cRZNqX1b8UjZu3cvrr/+ejV5zz//fCAmVpLlzjjjDPTp0ydw7OjRo9U+Kdsl8bGRIn9I27ZtQyIiLvlgzM21sFdWQrM3wRlizLaKUljqKuHx7YGnjl6IruaTRI+HYXI9Mp8OhwOVlZXHPbazJOREgbIhPmtZelkp0kTB6uT3Y/f60FJVgSMJ+pniCWVD7KBsSHzZEHcFQndPi1tFktp05HF3Sudt2LBBWZX69++vyvbJbTDBAkIQ97S4daLVpiWebNSoUUgkxBoiC9rw4cPbCFxPbTlaXKWwZOYhc/z4Dq9zZnrgOuKBfeAgpA3r+LxR6Ww+SeRwLuM7nxKqk+hQNsTn99JQ8yWaS6zo10niuONoOjIz0zEshOwwKlzPYgfnMnlkQ9wVCKmskZ2djTVr1gSEhCS0bd26FZdffnlU59y8ebMq9SfJdlLTu301Dqnk8eabb6pNd9WUlJSgpqYm6oVeziNxgImI/GiCx+ZqSYPHZoM1PT3kmE2ZWdBsNtitloT9TIk0nyR6OJfxmc9kCA2gbIjP76VFtQeydJpk6bLaYPK4EvYzxROuZ7GDc5n4siHuVZjEVSLC4MEHH8S7776rKm9IIpzU/J43b55yMYu7Rdwu4bppFixYoOJapXa4uLvl9bJVV1erY8455xwcPnxY1f/et2+fqughXQenTZumKnikPD6v/5ZlXAkhCQplQ3yQ4hmdVejTq/RpTKImxPDE3QMhSJ1vWdzvuusuJQyk6sXy5cuVBUSsP3PmzMHixYtVfe9wLEwHDhxQ9+fOndvmuUGDBqk4Vmkg9Mwzz6gkOTmnCCp5j4ULFyaFZa63yriykRwhJJ5QNvQ+ynDUiXFJYbGyChMhJDEUCMkOlzJ5oTp/Dh48WHUG7QxZ9IMRS9HxjteRcn7tS/oZhWNlXDsp49W6X/O2eioIISQOUDbEAfFAmI5TxtUsCgQbyRFidOIewkTiF8LUeaOg1kZyPnogCCHESKj+P8fxtoh88Ln9dfoJIcaFCoQB0bSuGskxhIkQQoyIv5Hc8UOYNLerN4dECElAqEAYET0HohM3tVTg8B/GECZCCDESmkdCmI6TRG22QPM4jxmiCCGGhAqEoXMgOvn69RAm5kAQQoih8CdRHy+EqbVKH70QhBgaKhBGpKscCLOuQDCEiRBCjITmkRCm4yRRW1o91MyDIMTQUIEwIF3nQLQKD58Hmqb14sgIIYQkdBnXVgOTz81KTIQYGSoQRiTcECZRHhjnSgghhqHrRnKtHggXPRCEGBkqEAZWIDoPYTrmvmYYEyGEGIeuPBB6lT56IAgxNlQgDEiXIUxmy7Guq6zERAghhqErD4QewsQcCEKMDRUII3sgjpsox0pMhBBiOFQjua5DmNhMjhBjQwXCyB6IMBLlGMJECCHG6gNxvEZygSp9VCAIMTRUIIxIF2Vc21diIoQQYgw03/EbyUH3QLiYA0GIkaECYegciOOEMNEDQQghhkOt+cfzQIhyId2o6YEgxNBQgTB0DkTXViaNSdSEEGIcuvJAtObIUYEgxNhQgTAgAaXgeCFM9EAQQojh6MoDoSsQLONKiLGhAmFEuijjGlyFSVXkIIQQYgzjkjQQ7cIDIUU26IEgxNhQgTAiYZRxZQgTIYQYC93jfFzZ0Fpkg2VcCTE2VCAMSDhlXAMhTKzCRAghxkD3OHeVA8EkakIMDxUII5dxDSOEiTkQhBBiNA9EVyFMVCAIMTpUIAztgTheGdfW59iJmhBCDIEWgQeCIUyEGJuoFIjy8vKYDcDn82HZsmWYNWsWpkyZguuuuw6HDh0K63XXXnstHn300Q7P/fvf/8b555+Pk046CZdccglWr17d5vmamhrccsstmD59OmbMmIFFixahpaUFhoFlXAkhPQBlQ3ITCFntMonaAo2N5AgxNFEpEGeddZZaoP/1r3/B5XJ1awBPPPEEXnjhBfzqV7/Ciy++GFj8j3deee4Xv/gFPvroow7Pffrpp7j11lvxne98B3//+98xc+ZMXH/99dizZ0/gmBtvvBEHDhzAc889h0ceeQQffPAB7rnnHhgFzRdGDoTF5j+WIUyEkDChbDBGCJMq40oFghBDE5UCsXjxYrWYL1iwAKeffrqy0mzZsiXi88hiv2LFCrVoz549G+PGjcNDDz2EsrIyvP322yFf89lnn2H+/PlYv349cnNzOzz/zDPPYO7cubjyyisxcuRILFy4EBMnTsQf//hH9fzGjRuxdu1aPPDAA2q/CJF7770Xr7/+ekytZ0lfxlUPYWISNSEkTCgbkhwmURNCelKBuPjii9Xi/v777+Pqq69Wlp3LLrsMF154odpfVVUV1nm2b9+OpqYmtVDryMI/YcIErFu3LuRrxCIkLu3XXnsNOTk5bZ4TwSVCJPh8wqmnnho4nwiXwsJCJUB0xFVtMpmwYcMGpDqa1PgOI4TpWBI1Q5gIIeFB2ZDcBDzOXSVRq0ZyVCAIMTLdSqLu378/fvzjH6u40ldeeQUFBQVYsmSJshjdcMMN2LRp03FfL9YkYcCAAW32FxUVBZ5rz0033aQsR9nZ2R2eq6+vR3NzM4qLizs9n1iS2r+f3W5Hfn4+SktLkfpo6l+XVqZWDwRDmAghkULZkOQhTPRAEEK6oLXdcPSI1UZcvO+8845apE877TQlJP7zn//gu9/9Lm677Tb84Ac/CPlaPTlNFulg0tLSUFdXF/FYHA5Hp+dzOp2B92z/fPtjorXsi4BKJPT5DU4CFAHhdrv9+x1OmNyhPQwel1sd53M0J9znSqT5JNHBuYzvfMp6JZb1noSyIblkg+BqblS3Hq8PvlY5EQofTPB5XAn3ueIF17PYwblMHtkQlQIhSWYiGP7xj3/g8OHDGDRoEK644goVf6pbcC6//HIVB/vkk092KiTS09MD8a76fUEW64yMjIjHJQu9fr5ggs8n7xMqCU+OyczMRLTIxfa2bduQiOzfv//YA68b6ZWV6m7Jjp1iagr5GlNLPdIqK6HZGuG0J+bnSoj5JN2Ccxm/+Qx1sdxdKBuSWDbIBUHVPuS0VqPSGju/4LA0t8DucWHb1q2dyhAjwvUsdnAuE182RKVAnHvuuWpBloQ0qZDRPq5UZ8SIEccdtC5QKioqMHTo0MB+eTx27NiIxyWuZlno5fXByGNxqQviwl61alWb50Vo1NbWKnd2tNhsNowaNQqJhGicMv/Dhw8PCEmpnNHUsBuy5GeNH9+ppultqkWz8zDMtjR1HAk9nyQ6OJfxnc/du3f3yDgoG5JXNgiOvU7UrgcK+hXCbD+muLXHY3LAWQmMGz0SJptfOTMyXM9iB+cyeWRDVArEL3/5S3z961/vkKjWnp/+9Kdq6wyprCHxqmvWrAkICXF1b926VVmpIkUuhqdNm6YqaUjino6c/5RTTlH3pb73gw8+qCxlw4YNU/vkeOHkk0+O+D2D37s7VqqeRH40+ti8Zg0um03FsGZlZXX6Gi+8cMtxFkvCfq5EmE/SPTiX8ZnPngpfomwI/d6J+htv/3vRrP7cN5vdDrPNX8o7FFqr0pBus8CSoJ8tHnA9ix2cy8SXDVElUb/11lsdLDnB1TMuuuiisN0kIgxk0X733XfVayURTixB8+bNg9frRWVlZSB+NRx++MMf4o033sAf/vAHVd/7t7/9rXIfX3XVVer5yZMnK0Ei77N582ZVJeTuu+9WTYV0S1RKE0YPiOAqTFLGVVVuIoSQLqBsSI1Gcl0mUbc2GvW52QuCEKNijSQhTr+QFKuMlL6rrq7ucJyU7wunW6iO1Pn2eDy46667lDAQK9Dy5cuV27ekpARz5sxRtcUlhjYcpPb4b37zG9WESOqGi+v4qaeeCpTmE+3qscceU/XJRXCIu/28887DHXfcASP1gOiqUVCgE7V85/IaU2tfCEIICYKyIXXQvK2J0101kjO3lvl2d69ZICHEAArESy+9pJLjZJGVTRbZ9uhCRGp+h4vFYlHdQWVrz+DBg7Fjx45OX/vee++F3C8WI9k6o2/fvli2bBmMSKALdZcCwtKmclPwY0II0aFsSB0CZbtNYRqY2I2aEMMStgIhVqBvfOMbShCIdUZcu+0Tw8xms2r2M3r06J4YK4kFmjfsOt9yjCbeBxEqTJQjhISAsiGFkLXeZO4yDlr3QPg87AVBiFEJW4GQpDjpyik8//zzmDhx4nGTcEmieyC69ihInKvm8UHzsRs1ISQ0lA0p5oHoKrw1KAdCc1GBIMSohK1AvPbaazjzzDNVR9EjR46o7Xgcz01MEiAHoisXtaCsTG5oXioQhJDQUDakDipcNWzZIEnUVCAIMSphKxC33347/va3vykhIfePh7g/KSQSk4A3ISwrU2uinK/zjqSEEGND2ZBqHojwvNPqeCoQhBiWsBUIKaVXWFgYuE9Su4yr/5BWQUIPBCGkEygbUqsKU5cV+nTZIDlyLONKiGEJW4EYNGhQyPs6Um6vsbFRdfwkyVDGNYyqSrqViTkQhJBOoGxIMQ9EmCW7xUPNECZCjEtUjeREIEi97JUrVwa6eZ522mmYOXOmqsJRV1cX63GSXi7j2iaESS/tRwghx4GyIclRJbvDuywQ+cAQJkKMS1QKhNTJfvLJJ1FfX68e//rXv1bWJWm4c/DgQfzud7+L9ThJrGj1JoSTKKeX6lOl/QghpAsoG1LBA3H8Eq4B6IEgxNBEpUC88cYbuPnmm/H9738fe/bswa5du/CTn/wEV155JW666aZOm/iQ+KP6OghhJcrpSdRUIAghXUPZYIwyrnoYLBvJEWJcolIgKioqMHnyZHX/P//5j2oSdMYZZ6jHxcXFaGhoiO0oSXzKuDKEiRASAZQNyY0Yi8KSDa0KBD0QhBiXqBSIoqIilJSUqPtiURo/fjz69OmjHm/cuFEJCpJCZVypQBBCwoCyIRVCmMK8LBAPBKswEWJYolIgLrzwQixevBjXXHMNNmzYgG984xtq/3333YdHH30UF110UazHSWJFaxJ1WDkQVCAIIRFA2ZDkRKJAWCzwsRM1IYYl7DKuwfy///f/kJmZiXXr1uGWW27B9773PbV/y5YtuPrqq1XMK0n0HIjwFQgmURNCwoGywThJ1FJkQ3O19PiYCCEppEBIN9Ef/ehHagvmxRdfjNW4SE8RSRnX1ipM7ANBCAkHyobkRvOE10juWB8IhjARYlSiUiAESYb79NNP0dzcDE3TOjx/ySWXdHdsJM4hTMeSqN09PSpCSIpA2WCMHAiVRO1o6vExEUJSSIH46KOPcOONN6KlpaVTKxSFRAqVcWUIEyEkDCgbkhsxFoXrgfD3gaAHghCjEpUCIc2ARowYoZoD9e/fX5XqI0nmgWAOBCEkxlA2JDfK2xyuB4KdqAkxNFEpENIg6IknnsApp5wS+xGRHkXTWvMZWIWJEBJjKBuSG1nrTda0sI6VHDn2gSDEuERlHho4cCAaGxtjPxqSWDkQehI1FQhCSBhQNqSAAhF2CJNFeadZZIMQYxKVAiEVNh5//PFAwyCSPDAHghDSU1A2JDmy1oddhcmmbn0u5kEQYkSiCmFauXIlysvLcc4556guo+np6R0S5VatWhXWuXw+Hx577DG89NJLqnrH9OnTcffdd2PIkCEhj6+pqcGvf/1rfPjhh+p9LrjgAtx2223IyMhQz48dO7bT93r//feVhUwaHOn1yYN5/vnnceqppyKlabUWRZIDIRYmUTzC8loQQgwLZYOBqjDp8kEUiPSsHh4ZISQlFIji4mK1xQKJl33hhRdw//33q3MuWbIE1157rRJEdru9w/F6hY/nnnsO9fX1uPPOO1W5wAceeEA9//HHH7c5vq6uDpdffjnOPPNMJSCEHTt2YOjQoep9g8nLy0Oqo+l9ICLIgVB4vYCVCgQhpHMoG1IghCmCMq4C8yAIMSZRKRCLFy+OyZu7XC6sWLECCxYswOzZs9W+hx56CLNmzcLbb7+NCy+8sM3xGzduxNq1a/Gvf/0LI0eOVPvuvfdeJVRuvvlmVfWjsLCwzWt+9atfoaCgQN3q7Ny5E6NGjepwrCGIIIRJjjHBBE3+qeQ6v8uaEEJCQdmQAh6ICMq4qtcwhIkQQ2LubsUNce0++OCDym29fv36iBLotm/fjqamJsycOTOwLzc3FxMmTMC6des6HC/nl4VdFxDCjBkzlLtaXM/tEYuTCBsREMEWK7EyBZ/DUERSxtVkOiYkfMyDIISEB2VDkuKLwAPRKht87tA9PwghqU1UHgiJTZVY1FdeeUV1GpVF+mtf+5pyOR88eBB/+tOfwnJjl5WVqdsBAwa02V9UVBR4LhgRRO2PlcU/Pz8fpaWlHY5funQp5syZ06Gk4K5du5Tlaf78+eqcY8aMwU033YSTTjoJqU6gYkYktb69biZSE0K6hLIhudEkVDUc73T7HAhCiOGISoEQYSBxqJKwJu7l0047Te2/9dZb8bOf/Uy5mvW40+OhdyttH8+alpam4lNDHR8q9lWOdzrbxmGKlerLL79s454WRJhIQp7Ext51112wWCxKqEks7Kuvvqrc19EgwlLOmUjo8xvcFdbldMLndsPhdMIdxnjdXq86vqWxARZzePXBU5VQ80mig3MZ3/nUL+5jDWVD8soGlR+n+eD1aXC73WFHw7Y01AMJ9vl6G65nsYNzmTyyISoFQqxLkrD2jW98A16xWLQyfvx4tV/c1uGgV+iQeNfgah2y4OuVM9ofL8e2R47PzMxss+/vf/+7shpNnDixzX6xUokAkfPbbP6Y/kmTJmHr1q34v//7PyxatAjRIAvutm3bkIjs378/cD+trBQmjxPO3XuhpVd0+Vp7RRXMzka4du6AL6uyh0eaHATPJ+kenMv4zWeoC+7uQtmQvLIBXjcKABVq5jWFsdZrGuSbOHJwH1y+3B4dZ7LA9Sx2cC4TXzZEpUBUVVUpgRAKSVaTChjhoLucKyoqVOULHXkcquSeuL7blwAUoVFbW6tc28Fu9Pfeew8//elPQ76vxNIGYzabVdyruKyjRQROtBaqnkI0TvnRDB8+PCB0Gxv3QPO4kDl2DCyZXVcWafZWwNtwFBknDIe17yAYmVDzSaKDcxnf+dy9e3ePjIOyIXllg8/ZjIp3gJy8fFj7hpdE3rTfguJ+Bcjq5Ds3ClzPYgfnMnlkQ1QKxLBhw/DBBx/gq1/9aofnpBKGPB8O48aNQ3Z2NtasWRMQEiJgxOIjbuP2SB1wsWAdOHAg8B7yfsLJJ5/cZgKkJnio8UmN8J///Of4xz/+Eagn7vF4VNLevHnzEC3i8mlv6UoU5Eejj81ptUIzacjMzIYljPF6MzLhdtQjzWZFWoJ+vnjOJ+kenMv4zGdPhC8JlA3JKxu8mj9syWqzBTwwXSGV+azwJezn6224nsUOzmXiy4aoFIirrrpKJcqJa/ass85SbygLtyz2Unrv9ttvD9tNIsJAFn5pOjRo0CBV61usSbJgiwu8uroaOTk5ykU9efJkTJs2TSW13XPPPSquVMZxySWXKOuWjggZWQBHjBjR4T3l9ZIkt3DhQvziF79Qx/3+979Xlqof/OAHSHm08KswqePYjZoQEiaUDclLYI2PoGGodKPWXIxVJ8SIRKVAXHbZZWrxfvLJJwMNd6TWtiy4Unf7u9/9btjnkrhYsfJI0prD4VCWpOXLl6tzlZSUqEoZUltcqmKIMJLOpBKLKoJKEuTOO+883HHHHW3OWVlZqRr/iPu5PWLVkkZDIpiuueYaFSMrFipJluvXrx9SGUmO0cu4hlvrO9BMjmVcCSFdQNmQvEi1PUWYVZh0+eBzUoEgxIiYNHVVGTkSSyrl9MRNbLValSVIrEBSNs9obNmyJZBwl0iIFU6S9yQmWVxXUsK15uOX1XP5My+B2dZ1VaXm3RvgOLIbGUMnIGN4Yn2+eM8niR7OZXznsyfXLMqGYySLbBBcVSUoefrnyD7pbFjzwlOYGje/j/ShE1H09RtgZLiexQ7OZfLIhog9EP/85z/x4osvYtOmTco6JIgLWdy/Yl2aO3dupKckvYVedy+CEKZAIzmGMBFCjgNlQ3ITWOPDlQ3qWCt8DGEixJCErUBIzOktt9yCN998U8WUXnDBBcqtKw4M3dp0ww034OKLL8b999/fs6MmUaHqfOtE2iyICgQhJASUDamB5nFHZlxS8sHCECZCDErYCoTEs7799tu48847VXJb+0xtESJiffrNb36junt+85vf7Inxku7QqkDId2cKuxO1vxoHFQhCSCgoG1IEX3RJ1FL+lRBiPMJeKV577TV85zvfwRVXXBGyzJN07fz+97+Pb33rW6pRD0k8JAciGgGhXuvp2KSJEEIoG1LLAxFJCJN4qDUXFQhCjEjYK8W+fftwxhlndHncrFmzsHPnzu6Oi/RoCdcIqmxYdQ9Eq3AhhJAgKBtSA93LbDKFLx+gPBAMYSLEiJgj6WYn5e+6QupoNzU1dXdcpCc9EJFYmHQFQrdOEUJIEJQNqVbGNRL5IEnUjp4bFCEkYQl7pZCEOHFFd3lCs9nfb4Akbg5ERHW+6YEghHQOZUOqeSAibSTn4PdKiAGJoF4bSXY0LYocCHogCCEk5YnKA6EMTJpSIgghxiKiPhD33HOP6tZ5PBobG7s7JtLjHogokqi9HmiaLyLrFCHEGFA2JD9aa++OaAxMUonJnJbRU0MjhCSzAjF9+nR125WrMisrS5XqI4mcAxF5ErV6vccNUxjdqwkhxoGyIYU8EGZzyEpaXSsQktvStwdHRwhJWgXi//7v/3p2JKTn0RvJRWJhMlvUJsqHipGlAkEICYKyITWQ9T2iCkxBHmr2giDEeDAexYAeiEiSqNvmQbAXBCGEpCTKAxGdbPA5WF2LEKNBBcJIRNEHQh3PSkyEEJLyORCR5McJJqtd3dIDQYjxoAJhIDQ9hCliIcFKTIQQkvo5EJEZl9TxJjO8LfRAEGI0qEAYiSgayQlUIAghJLWRENWIPRAmE0w2e2sSNSHESFCBMGIIU6SJclZ/4rTmdvbIsAghhMQXVSQjijLdEsbka2GJXkKMBhUIQ5ZxjexrN7dWXqICQQghqYnyMEcoG3QFwksFghDDQQXCkI3kIvRAtCoQPioQhBCSsjkQ0TQKNVtt8DkaemRMhJDEhQqEET0QEQoJXYGgB4IQQlI4iToKBQLigWiu74khEUISGCoQhvRARBfCRA8EIYSkJtGUcdXlg7eprkfGRAhJXOKuQPh8PixbtgyzZs3ClClTcN111+HQoUOdHl9TU4NbbrkF06dPx4wZM7Bo0SK0tLS0OWbevHkYO3Zsm+3222+P6BypiNaaRB1xsyB6IAghvQxlQ++iGoVGk0RtS4OvhSFMhBgNa7wH8MQTT+CFF17A/fffj+LiYixZsgTXXnstVq5cCbvd36QmmBtvvFEt6M899xzq6+tx5513orm5GQ888IB6Xu6LkHn66acxceLEwOvS09PDPkfKEuhEzSRqQkhiQ9mQBH0gdAXC0axCZCPNryOEJC9x9UC4XC6sWLFCLdqzZ8/GuHHj8NBDD6GsrAxvv/12h+M3btyItWvXqsVcBMDMmTNx77334vXXX0d5ebk6Zvfu3cpyNXXqVBQWFga2nJycsM+R8h6ISMu46iFMHtexPApCCOkhKBuSow+EYLaJAqbB28Q8CEKMRFwViO3bt6OpqUkt1Dq5ubmYMGEC1q1b1+H49evXqwV/5MiRgX3iZpZmNhs2bFCPd+zYgX79+iEvLy/ke4ZzjpQlSg+ENAoywaTua25XjwyNEEJ0KBviVMY1QuOSYLL7PTjeppoeGBUhJFGJqwIh1iRhwIABbfYXFRUFngtGrEDtjxVXdn5+PkpLSwNCIjMzU1muTj/9dFx00UXKHS2Wp3DPkfp9ICL0QJjMMKX5hYTP2dwTQyOEkACUDfFRIKLyQOgKRAMVCEKMRFxzIPTktPbxrGlpaairqwt5fKjYVzne6fTH5+/atUvFrp577rn42c9+pixHEjsr5/v5z38e1jmiQdM0FSubSOjzq986HQ543W44nC54Ixyrx2SD112Pptoq2KwZMCLt55NED+cyvvMp65VY1hMVyobe/714JYkaWXC73RGdS1NeCxOaj5YCgxLrc/YWXM9iB+cyeWRDXBUIPXlN4l2DE9lksc7I6HiRKsfIse2R48WyJDzzzDPqsR7XKlU2Ghsb8eSTT+KGG24I6xzRIIvutm3bkIjs379f3doPH4bZUQ+XdR98lZFVzbBVVsPSUAm3tg3eSmN3HdXnk3QfzmX85jPUxXKiQNnQ+7+XPEcLnJYM1FdWRnyeNGsayvftgMPW1oNjNLiexQ7OZeLLhrgqELq7uKKiAkOHDg3sl8eyuLdHKnGsWrWqzT5Z8Gtra5VrW//g7T/8mDFjlAVILE3hnCMabDYbRo0ahURCNE750QwfPlwJ3WZ3KbxNacgYPQbW/P4RncuZ5YPrsAZb/0KkjxgPI9J+Pkn0cC7jO5+SUJzIUDb0/u+l/H0gLTsH9sLCyM9XmY1MO5A/nrKB61n34Fwmj2yIqwIhlTWys7OxZs2agJAQF/PWrVtx+eWXdzheanM/+OCDOHDgAIYNG6b2SdUM4eSTT1aul3POOQeXXHIJ/ud//ifwui1btqjkuIKCgi7PES3i8umOlaonkR+NjM1ttcBssyEjMxO2CMdqye8LrcIGm+ZJ2M/Z2/NJug/nMj7zmcjhSwJlQxx+Lz4PLFabUngixZWeBa2+MmE/Z2/B9Sx2cC4TXzbEVYEQa5AIA1m0+/Tpg0GDBqmYVLEEScMfr9eL6upq5XIW9/LkyZMxbdo03HTTTbjnnnuU5ejuu+9WQqF/f79FXYTE8uXLMWLECJx44olYvXo1nn32WVXPWwjnHKlfhSnyShvm9Cz/KRzGDl8ihPQ8lA3x6QMRbR8HS0YOXOX7Yj4mQkjiEvdGclIRw+Px4K677oLD4VBWIFnkxQpSUlKCOXPmYPHixZg/f77SjB577DHVHfSqq65SyW3nnXce7rjjjsD5pIuoWK6WLl2qqnUMHjxYCYhvfetb6vlwzpGqRNsHQrBk5KpbX0sTGwYRQnocyoZertAn1aiiXNfNGTnwOZrgbaqDJSt0mVxCSGoRdwXCYrHg1ltvVVt7ZIGX0nvB9O3bF8uWLev0fFarVVXYkK0zujpHytJarjCaUn1S69tksSkrla+lkUKCENKjUDb0cg+IKL3Tgi4PXJUHkZE1KaZjI4QkJnHtA0F6F61VgUA0CoTJBEum3wvhbe5YRpEQQkhyKxDRyAb1soxs5b1wlrNyDiFGgQqEkdBzIEzRfe2WTH/5Q29zZCVgCSGEJC6a6gERvQdCZIolKx8uKhCEGAYqEAZBqpAEciCidVNn+t3U3ub6WA6NEEJIHJHQVEU3ctskjMlZtid2gyKEJDRUIIyCrjx0w8pkbg1h8jGEiRBCUtADYe6WAuE+euSYMkIISWmoQBgEzes59sDczRCmlsZj3gxCCCEpkgPRHQ9EvgqTdVeXxm5ghJCEhQqE4fIfTNF7INKz1Gul5J+U7COEEJL8dDcHIthD7ao6HLNxEUISFyoQBkHV+RbM0VfuVYlyGXoiNfMgCCEkFfC1KhDd8UCYbWkw2dLgPkoFghAjQAXCIGhevQt1977yY3kQrMRECCGpgObuvgdCL+fqrimP0agIIYkMFQijhTBZutc7kL0gCCEktYhFCJNgTsuCp4Y5EIQYASoQhgthssRIgaAHghBCUoHuNpLTMadlwl1bEZtBEUISGioQRsHniY2FKT3Lfzpnc0yGRQghJBE8ECYREN06jzk9E97G6mMGK0JIykIFwmA5EN31QJjtGf7zuRws5UoIIamiQFgsqkpfdz0Q0DR4G2tjNjZCSGJCBcIg6BYhk6V7CoTJnqaEjCb/XM4YjY4QQki88Lld3c6PCygQADz1VTEYFSEkkaECYRR0BaIbZVzV601mmOzp/lO6WmIyNEIIIfFD8zi7Hd4qmFo91J6G6hiMihCSyFCBMAixSqJWp2gVEsyDIISQFCnj2k3jkmCy2pWM8TYcjcm4CCGJCxUIg6B5Y5NE3UaBcDm6fS5CCCHxz4GIiQfCZFJhTJ7GmpiMixCSuFCBMAoxyoFom0jNECZCCEl2fG4JYYrN5YDZns4kakIMABUIgxDLECZTWmsOhJMKBCGEpEQVphjIBsFkS4OHIUyEpDxUIIxCaxnX2IYwUYEghJBkR1MeiBgpEOKBYBI1ISkPFQiDoOmN5GJYqo8eCEIISX5UPluMFAgxMHmbGMJESKqTEAqEz+fDsmXLMGvWLEyZMgXXXXcdDh061OnxNTU1uOWWWzB9+nTMmDEDixYtQktLS5vzPfvsszj33HPV+S644AK89NJLbc7x5JNPYuzYsR22VEXztTZ9i6EHgjkQhJCehLKhd5DGoLEwLukeCJ+jCZrHHZPzEUISk9isGN3kiSeewAsvvID7778fxcXFWLJkCa699lqsXLkSdru9w/E33nijEgrPPfcc6uvrceedd6K5uRkPPPCAev7pp5/GihUrlPA48cQTsXr1atxzzz2w2Wy45JJL1DE7duzAxRdfjFtvvRWGQPdAxKTWd2sOhMelciti5fomhJBgKBt6B5/0gbCmxeRcZptfPogXwppXGJNzEkISj7h7IFwul1rQZeGfPXs2xo0bh4ceeghlZWV4++23Oxy/ceNGrF27VgmEiRMnYubMmbj33nvx+uuvo7y8XB3zl7/8BVdffTXOP/98DB06FN/+9reVQAi2NO3cuRMTJkxAYWFhmy1V0bwxTKK22gNKQyKGMWmahqYWN8qrm3GkshGHW7ejdS1wOD3qeUJIYkPZ0Ms5EDGo0BfsoWYpV0JSm7h7ILZv346mpia12Ovk5uaqBXzdunW48MIL2xy/fv16tZiPHDkysE9c1VJ/esOGDTjvvPOUADnhhBPavM5sNiuLlC6Y9u/fjxEjRsBoVZhiVutbEuXETS1hTBnZiCc+n4bK2haUHW1SW22DE15f50qCzWpGv/wMFBVkorhvJvrkpqvPRAhJHCgbejuJOnYhTII3ARWIZocbB8sa/HKi0QWny6N+HxlpViUHBhZmYXBRNmxWetUJSXgFQqxJwoABA9rsLyoqCjwXjFiS2h8rruz8/HyUlpYqYRAscIQjR47gjTfewHe+8x31ePfu3fB6vXjrrbdw3333wel0qphZcVnL+6YkXn88qslqi8npJJFaFIh4VmJqbHZhT0kd9h6pQ4vTH6KlI0IhK8MKu9UC0Q3E6dDs8MDh8sDt8aG0qkltm3YBOZl2DB+QixMG5SE7IzbzQwjpHpQNvdsHApbYlXGVRTcRFAgxLm3bX41PvyjFZ9srcKi8AVqQIclq8QdhuNzegNHJajFh5OB8nDy2CF+ZNEDJBhqYCElABUJPcGsfz5qWloa6urqQx4eKfZXjZbFvT1VVlUq869u3L37yk58EXNRCRkYGHnnkERw9ehRLly7FlVdeiddeew3p6X4LSiRIWIzE2iYS+tzKra+lGT63238BHYNxujUz3G43mutr4cnqh96kodmFrftqcLC8MbDPbrOguE8G+vfJRL+8dGSmW2E2d1z0vV4f6pvdymNRWeNQYU7VdW5U1zXhs+2lyvo0dmieskYdbz5J9+Bcxnc+Zb1K9Isiyobe+b3I+DS3Cz741/RYYLJnoKWmEtY4fW6REe+uP4x31pagqs6hPAz9+2Tg5HGFyM+xIzvdBqv1WAS3zIHL7UNDsxu1jU5U1jrw8nu78MLbOzCwXybmnDIYs6cN7NTAxPUsdnAuk0c2xF2B0BdkcR0HL86y4MsiHup4ObY9cnxmpr+8qM7evXtx/fXXK4vS888/r9zfgiTLnXHGGejTp0/g2NGjR6t97733noqPjRRZeLdt24ZERFzyaaVHYPK64dyzF1qaPx64O1grK2GtrYTHswOe2t6ptuHy+LCvzInSGncgj6FPjhUD+tjRL0cUhha01FbjUJgVBPvYgNx+Gqrq3SircaOm0YPKykps/NJ/3hHF6cjJsIScTxIbOJfxm89QF9uJBGVDL/1evB4UaD40NjXDW1kZk/PaTRZUH96Hkl7+3C0uHz7e2oC1OxqVR6Eo34bJJ2QgL9PviQYccLc4UHOca6m8NCCvvxkjCjNR0+RFea0Lf35rJ/7yzi5MG5mFr47PRn5W6Esnrmexg3OZ+LIh7gqE7nKuqKhQSW068jhU6TypxLFq1ao2+0Ro1NbWtnExS8yrWJX69++vyvbJbTDBAkKQ14qrO5RrPBykiseoUaOQSIjGKT+a4cOHw1u3A5rmQ9b4CYE+Dt3BlWeB84ATtn5FSB89Hj2JKAuHyhuxc9dRuC3p6NcPGNA3EyeO6IP8nNhUDhEkd2LnoTocFDe3BhyoBYamZav3ycqwtZnPUBcwJHw4l/GdTwnVSXQoG3rn95IGDyreAXLyC2DtE5tkcUd1NjKsGoaN71nZEByqtGp9Cf7yzm4VjjRyUB7GDMlDmr17YVnyyxgnn8flwZ7D9di0rwEbdjdhzimDMH/2CBS0yh+uZ7GDc5k8siHuCoRU1sjOzsaaNWsCQkIS2rZu3YrLL7+8w/ESj/rggw/iwIEDGDZsmNonlTeEk08+Wd1u3rxZlfqTZDup6a1bl3Skksebb76pNt1VU1JSomqIR7vQy3naW7kShXRx4aukMAsys3NglhjVbmLNLYDPZoMN3h793LJwf/pFmaqmJEXD+hVkYPqE/ioBOtbI5xjYv0C5vzfvqsKBsnqUVjtRXluGMUMKMGKA/49P/ggT9btONjiX8ZnPRA9fEigbeuf3YnP7Q0Gt9jSl7MQCd3omtKaaXvncktfw0F8+w65DtRgxMBcnjS5UIUuxROZlypgMTBxRiF2HavDBxlL8Z+MRfOOs0Zg/exT06zKuZ7GDc5n4siHuCoS4SkQYyMIvlp9BgwapWt9iTZo3b55yMVdXVyMnJ0e5qCdPnoxp06bhpptuUvW7Jbb07rvvVq5nsSR5PB4sWLBAxbVK7XBxX0tYimCxWNR7nHPOOVi+fLl6/Q9+8AMVC/ub3/xGnVcaFqVqAnUsk6glxjXQwbSHqKhuxidbjqjkZ8lnOHFEX4w/oS8sIXIbYokkVZ82eSDGDS/Apl2VKDvajO0HqrHzoA9ZJhfGHqfCEyEkNlA29F4TOSFWjeQE8XK7aqLz2ETimf7nx/uwYuWXyEq3Yu70ISjsAcNSMJJ4PeGEvhg1OB9b91Xjb6t24s1P9+P780ajr41ygRiLuCsQgtT5lsX9rrvugsPhUJYkWcRF6xfrz5w5c7B48WLMnz9faUePPfaYagR01VVXqQQ5Kc93xx13BCxMYoES5s6d2+Z9RABJHKs0EHrmmWdUkpycUwSVvMfChQuTwjIXKZr3WBM5kyk2rT/MaboC4U/Ci+W8yfm276/B57sq1f3cLP8FfUFO5AmM3aFvXgbOPmUojlQ1qgoeR2ubUFLZAt/6EnzlpCEqYZsQ0nNQNvQ8uhHIZIldBTrpBSHdqKW6Uyw83u1pbHHj4b98hjVflmHM0HxMHl0YqKjUG0jRjiljCjFqcB427arCYy9/gcH97LihoAETRlIuEGNg0thVq9ts2bJF3U6aNAmJhFjgJHlvzNCBcG/7UC3k+TP93VZjoZTU/PcVdV/OGSshIYlv67aWYe9hf5UVKaE3fUKxsvzEExnXF7vK8P6a7Sjo009dwAzpn4OpYwqRnZnYyaiJiP7bHD9+PN3UcZjPRF2zUo1Enefg3wvKdqLsL79C7vQLYE7Pisn5PbUVaNzyHwz+0SOw9xuMWIcs3bv8U1TXO3DqxGIMLspBvDlcUY8N28vR7PTh/K+egMvPG0e5ECWUDckjGxLCA0F6GJ8npuFL6lwWq9/K5GpRlqZYKBCS7/Dx54dRUdMCsfVNG1eEMUMLEsLyJ2FTo4fkobk2G157Lg5VtChBJrkZ44b1wYQRfeOu5BBCSKQEevnE0ANhalVEPPVVMVUg5CL9/j+uQ3qaFfNOHabCTROBooIMTBuZiTqHHW+vOYAPNx7G1RdNUB7sUOXECUkFeMVjAI6FMMVWX7S0dqD2tRzrx9CdDqHvrj2olAe5ED/z5MEYO6xPQigPwditZkwbW4jzvjpcdbEWz8SX+47inx/vxb4jdYHysoQQkgxoTr8CYbLGMgciQzWTE09ErHhz9X7c++wa9M1Lx9zpQxNGedAxm0wqnEo8EH3y0vHIXz/HgmUfYufB+DfUI6QnoAJhADRPbLtQ65jT/QqE19HQ7Y7Sq9YeRF2TS1XPOGfGMAzs5z93oiL5GGedPASzpgxSzYWkE/bqLaXK+lR5vCLjhBCSaB6IGObHCXIukQ/uGCRSi1Hmz29ux+Mvb1I5B6dPGZTQ3l5pYvrVSQMw55QhqKptwS2PfKjyNY7WUS6Q1IIhTAYKYUIMq2wI5oysbnsg6hqdeH/DIVVpSS7Ezz5lSNLEjop3RPIgBvbLwo6DNfhiz1EcrXPgnbUHVO6GJNllpsdWaSOEkFjiczTDZI39miv5FO7q0m6dQzy8T726CW+uPoDJo/th/PDE80p3RlGfTBVmtedwLf67+Qg+2nQY3zxrNC6Rsq8xLjNLSDzgr9hIIUwxjHEVLOn+5DVvc3QeCEmCe3/9ITjdXuRl2XHWKUOS8oLbYvGX9jthoFTkqMS+w3XYX1qPQxUNqn/EuOF9KDAIIQmJz9lTCkQ23FUlUb/e4/Vh6Quf4eNNhzFjYrFqDpdsSP7D6CEFGFaciy/3HsVfV+3EG5/sx3fnjVXKRSJ7UgjpCv56jUBAgYhxDkR2vv/0TbWqy3UkVNQ04911B5Xy0Cc3HXNmDE1K5SEYURK+cuIAzPvKMBTmZ8Dr1bBtfzX+8dEef4UOx7F+HIQQkghIEYxY5j/oWLJy4a4tC4TQRoJ0k/7Nc2uV5f60kwYmpfLQvuzr1LFFOP+0E9AnJw1PvboZP1q8SoW8iqJESDJCBcIAaN4eyoHIyFFeDc3nhbfJX3Y1HKSvgoQtuT0+Vb1izvQhSLenjoVe+kfMnTEUs6cNVvdFkdhxoAYrP9qLNV+Uoqah55rvEUJIxB6IGBfYECxZ+YDPB1fVoYhe53B6VJnWz3ZUqBwzCRNNFSRM9yuTBuD8rw5XlaQe/dvnuO43q/DGf/cpYxohyUTqXLWRTtHcTnUb64Y+EotqzSmAu7YC3oZqWLMLunzNwbJ6fLKlFD6fpnIHJCGuNxsA9RYyNwMLszGgX5bqZP3FnipU1rZgz+E6tUkTurHDClSyOMv8EULihdfR2CMhTEqBMJngPLIbacUjwnqNeGkXPfspdh2qxZlTB6dss8687DScPnkgahuc2LrvKJ7++2aVKH7RrBH42szhyM+JffM9QmINFQgDIC5kuUTtCSFhze2nFAh3bTnSBow87rHSHE4s8FLodGhxDmZOGqj6K6QyokiIEiElX0WBkJJ+h8obUV7drDYJ2xoxKBcjBuYlTfI4ISR18LU0xNw7rYfMWrL7oOXgl8idNi+sanx3/341DpTVK+9tv/yMmI8p0RBF4asnDcSkZpfyUv9t1Q78bdVOnDF1EC447QSMHpKfNEnjxHhQgTAAmsfZYwqErc9AtBzcqqptSLJ2Z3kWOw5UY8N2f01wiWeV7tJGsryLECgqyFRbU4tbKRLiiRCLm1Rvkk2sbSMG5SmXfSp6ZQghiYe3pVEZgnoCa14hWvZ8rsJcTWZLp8eJJf6XT3+CsqNNqjy25MUZCelpccr4/pg0qh/2lNRi7ZdleG/9IZwwMBfnzRyOM6YOVuFPhCQSVCCM1AcixiFMgiWnD8xpmSqO1lVVgrT+w9u+t6Zh8+4qVYFCkK7NU8cWGtqqkpVhUwl1J43qh5KKRqVIlB9tCngl1m0tx6CibAztn6O8F1QmCCE9hU9CmPoO7JFz2/oNgrNkO1r2b0HmiCkhj5FeCXc+9V/U1DuV8mDk8J00m0VV9JPKfWVVTUo2SML1s69/oQp0SJlzKQ9OmUASASoQRsDjUjc94YEQRSB94Cg079sMx6HtsBcNCygHkuewdmuZCl0SxLpy4oi+hlYe2pd/HTYgV23ildh7pE6VgG1sceNAab3aRFAMKszGkP6ST5HNsn+EkJghXmPN5egR45IgIUySC1G/7l8hFYjDlY2468n/wuHyqsZrOVkM49S7WksOnWzSpHT/kXps2VOFjz4/rDwRkjs4a8pATDyhr5IjhMQDKhCpjqZBEwXCaoXZ1jOLs33ASLQc3AZvc50KZbL3HahK03286QiOVDaq8KnpE4sxarC/7CsJ7ZWYNNKvYEkzuoPlDThY1qBCnCQmWDYJ+ZKqVZJ4LZ6J3Cw7lTFCSLfyHwSztWcUCFmf7ANHo3nXOrgqDigDk46Ecd7zzGq1rkklvmQv492T5cHHn9AH44YXqFCvA2UN+Pjzw3hz9X7kZNqUZ0K2yWMKlQeDkN6CCkSq43WrMCKT/OshK5PZalcJ1I6S7XAe3glvdhE+3HgYR+taVJL0aZMHYnBR6pTi60lE4EryoGxTxxSqZnuiSBwqb1CeCanoJBt2+EsCiiIhHU/7F2SqsoCEEBIuvpZ6ddtTskEQpcF5aBtq/vsK+l96s9q3bmsZHnh+vfI4nDFlENLsvPANRzYU5KarTbpyi2yQghySL/HO2oPKOz15dKHKpTh5XBGK+2bFe8gkxeEVR4pj8raGL9nTjpvE1l3SBo6Cs2QHKkrLsalsOxyaVTXPkWoSkjhMohMY0kdCNol7rW9yobSqCUeqmlQjPlEopNyhbIJ08xZlQm0Fmex+TQg5Lr7W/j1me88lLZvMZqQNGo2mbavhPrsSb25uwDOvb1GhmTNPHAArwzK7JRtEmWhoduFwRZMyNH22vRw+DSjuk6ly7cQzIZ5tKR1LSCzhFUaKY2rNfzDbe7YkniU9C4dN/bHuYCXMWRXoO3S4agLERSt2AkPmUjZJsJMmfOXV/sTriupm1DQ4UdfkUpuuUEhlj3756a2CJh35OekpXzaXEBI+vuZWD0QPKhCCvf9wNOzfikee+xAfHLSqHjhiFJFYf9J92ZCblYbcE9JUqJPb41VyQTzV0sn736v3q+OkKIcU7pgwoi8mnNBHyQVCugMViBSnNxQIl9uLddvKsfdoFnxaFfqb6zDnlIFIS6fy0FOIu1rCwvTQMIfLg8qaFuWZ0BUKsUrJtu+I/yJBlAcpj9g3369Q9MvLQGa6lXkUhBgUb2M1TLb0HvVOC1VOOx5tOB+HKs2YMaEIIwd33XSURIfNamkjGySPThmaalrw4eeH8c//7lP7C/MzlCIhBilR6IYPyGORDhIRVCBSHJPHCVh6zsIkdbvXfFmmqghZM7IxelAaRmc3ATVHgAHhdR8l3SfdblX9I2TTFYrqOgeq6lpQVetQ+SjitZBmdrLpSJhZQU6aP7ZWbnPSVXK2kXp0EGJUvA1HYU7rWUv0msNmrPjcBgusONW+G4OyqDz0JpKcfsLAPLUJUtVJjE0iG77cV42PNh1RFROl4p80NR0ztACjh8iWr6pA0WtNOoMKRIpjcrcoBcKSkR3T84pVY+POSlVqVJCEXuksndMINO/bBGfpbqRRgYirQqGXARQkkV5yKKTCkygTVXUOVdFDvEd6/wkdERgSKqUrFvnZaUqpYJI2IamFt66yxxSIOgfwpy02rD1iwaAcHyYX+aBV+OAs2wdbQXGPvCfpGsmNG1qcozbB6/Upj7UuG6QAyj8/9nsppKqTNLMbNSRfNYAVJUReJ14OQnhFYAQFIj0d5ozYVEGSC84dB2uwfX+1smiLbUIWF4lnlUXFlzVcNQ3yNNbA01ANa06fmLwviV0OhXS71gWH5ExINQ9RJmrqHUqQSAle2ScbWnt46MJEFAnZ5Dxym51pR1a6lbXICUlCvLXlsGbHtry21wf854AFL2+1wqsBJw/wYnCOptYgT3Y+3FUl8LkcPZq4TcJH1m698h9QEJDzugwQmfBRkFIh3ulBhVkYMTAfwwbkYPiAXOX5lsId9Fwbi7grED6fD4899hheeuklNDQ0YPr06bj77rsxZMiQkMfX1NTg17/+NT788EO1IF1wwQW47bbbkJFxzIry73//G48++ihKSkowYsQILFy4EDNnzozoHKmAWJ3NLglXSYelmwqEeBz2lNRh+wG/4iBIHL2UjAtOxhKhYCscDFfFQaVIZJ94BmPsE1hwSE6EbMG/GanupJSKeidqGhxKyZAQNafb2yEEKtiqJa5y8URlZVhVXwvZJ5t4Q9LtFioZJCIoG3oYnwfe+irYCwfH5nQasKHUjFe2WVHaaMLQXA0TC30IdlxasgrgqatU5b4zTjgpJu9LYo+EtkoZ2OBSsCL3axudqG3wG5y27j+K1VuOwNV6PWC3mVWPIknW9nu/s1SZ8eI+WcjLZs+iVCTuCsQTTzyBF154Affffz+Ki4uxZMkSXHvttVi5ciXs9o6Nz2688Ua0tLTgueeeQ319Pe688040NzfjgQceUM9/+umnuPXWW9Wif9ppp+Hll1/G9ddfj9deew0jR44M6xypgiZNgnwelSBnjiKESSzRUjZ035E6HK5sUheXernQE0f2U67MUItCxtAT4a4sgbumDM4ju5A+aExMPg/peeT7lOpNsg0rbvtbkBAo/+ZUt3WNfsVCnpO4WtnEBd4ZkqCnKxRmeFFe1gJfejVysx1KYEktePFyqPs2izqeQse4UDb0LJbGo4DmgyXT75GMFqcHWF1iwZt7LChtNKMo04fZw7zID+FgMFkssOT0gePwTtiLT+i2YYv0HrIeS+K1bDpyTdDs9ChZUN/olwtiZFy/vRzNDk/gOFEu5HXipSgsyFTGR9kkRLZPjlQI9HvHmcSdXMRVgXC5XFixYgUWLFiA2bNnq30PPfQQZs2ahbfffhsXXnhhm+M3btyItWvX4l//+ldgwb/33nuVULn55pvRv39/PPPMM5g7dy6uvPJK9bxYmOR1f/zjH9Wx4ZwjVRDrkmDJ7hNWlQ1ZDGQhkEo+5UebceRoI7zig25FFgBJsBJ35fFclZbMHGVdat77OVr2fK72pQ0crW7F+uQq2wuvlA+Ui0NRSswWWLMLkDZoTMxzNUhssIbwVui/GfFMiCLh3zxocvjvSyJ3i9OrbiVJTyxYbo9fCXG73ag86oLLXAObrbHzLrZWs1IsRLDIGNRmNcPWel/fb7GYVO6G3Jffpjy2mvX9x54XL4i6NZuonCQwlA09j6X2sFqDLdmRJzWL0XlHlRlrjpjxaYkFTi8wIFvDrKEe9O3CWWPN7afKxzZu/QQ5k89SjUhJciJraFa6TW0D+7VtXCfrfWOLC43N7oBMEO+19KoQpSNYwdCRqoDSXdtm9mLARhf65GUEwmaVYUvuS9hshk09llsqHQZVILZv346mpqY2LuTc3FxMmDAB69at6yAk1q9fj8LCwsDiLsyYMUP9iDds2IDzzjsPn332GW6//fY2rzv11FOV0AnnHOeffz5SBffREnVryStqu9/jbXOhJxd04paUWEc9PElHwlKG9M/GyEH5ykoQLqIM+BxNcBzZheY9G+Eq3w/N64FXvCIh8NRXwVm+D5kjpsBePIIXd0mCfE/+ECVrp3XFRckQN7fD6YHD5VW3NfWN2GWqR/HAXJjMVjhdXhV363T74HR7lOKqKyey9QTtFQr9vtViglmUjlaFRJQPEVJ2qwU2m195ES+J2iceE1FiWp9nDHBsoGzoeWxVe2AW45LFGlZeQ0mDCburzdhaacYXlWY4PCZk2zQMz9cwNNeHrDD1ADFm2foNgatiPxo2vY/sCacpw5HIAMfBbXDXVcqqAZPJDM3ng9mepmRC+uCxPV5ulsQOWR+lqp9soRCjkpIHLs8x2eASxcKNunp/UzwpQS7rvzzX/tpER9ZfuU7JSLciU8JmW29FJqn12XZsvVaGpyCjk7o1iyHK1MFApa/vumdczifnlvfj9UkCKBBlZWXqdsCAAW32FxUVBZ4Lpry8vMOx4srOz89HaWmpcjmLu1nc3Z2dr6tz9Cbyh9LQ7A6EBsmNBvWf/3HrxVfr0/77+hNBz8vFltfng9cnt/LYi5bS/ag/XIPq2mwcKE2D6eh+dYEmW2d/iIL8USk3ZUGm6hQqlXii+WOR12SMnApzeiZa9vmTqtV+ixX2omH+KhwmvxVY87jhLN2jBEfTrvWqSoccI54Ma14hhUaSI9+xLMCy6cEShXlWeBvTMX5sITIzO3YqlwRvXXlwucVz4YXHq8Hj8amQKbfXF7ivNs+xvwE5TuLn5VYeB9/X/9bUe6i/l9gqJyKARGBJQQERNEpo2Y7dV94Rs1k10DKbceyx2QTRPYL/1kytjwN75LH8M7VX4CywpZgRzuiyoTe807bKPbAOndgmFKnOaUKNAzjabEJlswlljWYcbjCpzeMzwQwNBRkahuVpKM72Ij/N/zuNFMmVsxcNh7vqEOrX/xvm9Cz4WhpVuXFVeEP3TosS4XbCceBLFRabNf4rsGTmxnYySFyQNU88DrIFo7zTlT6lzNtstsB+Wd9FFujGJpfHLxvk1u/d9ssEMYhKQRD/tVDrNVGrHPDfavDJdVPr/SCREPa4Vc5fmj/XLzvT7w3xb/K43W2GvTU30J8XmEpGprgqEBJrKrSPZ01LS0NdXV3I40PFvsrxTqcTDoej0/PJ8+GcIxrkBy8XJps3bw77NfKjFQWiJ9A0H2DVkD3sBGQNM8FsbYEJLYA4EHQnglzAtF6gyK3/AsbU+uN2QmuqRUkT4PdhdJPc0cqSpN5WlIEWE9BS3fYYUz9o2XnQvG7ArQGHJfyqCibLIZhsidGQTr/43LVrFy0QCTCXltYtLfhBWO+t/u+gjAeP69hxx/brx+uKu35M8Gs6IF56T+CmxxArWSTzKWtWIv+GjSwbBPlJiYdYLpC6ODLkBdCx3+qx32kHTlsQdHDr34/o8plAeh9AUtVlm650V80vJ5RnIKKP0sXwR0CDzz+GVoNS6ON05V9k5lH/seI5SZTfsAYMz8+GyeQAZCO9NJdiOYmR9aSdLAiy5R5b7wP72//dyQNZI1rXCaf02wBaaoCKKIejDEi6+Ujd7/h84MlOEG+6VEnsKdkQVwUiPT09EO+q3xdksQ5V9UKOkWPbI8eLFVMWev187Z/Xz9fVOaJBn+xIBLIcKhqqITBZwvIimGx2QLYERcXkh7jAIMk1l/4/0wS58Igp4XvqlGcjUS6+QmBk2aBbW0PFiMcLDSZVktUrfzcRWmy7pvUCUGnmYQ8I8ETygt4i0caTzBh7LrUgA8Dxp6LzJz1ef0WtjDR7j8iGuCoQuru4oqICQ4cODeyXx2PHju1wvLifV61a1WafLPi1tbXKFS2uZlno5fXByGM9Aa6rc0TD1KlTo3odIYSQjlA2EEJIYhPXyNlx48YhOzsba9asCeyTWNWtW7eqmt/tkX0Sr3rgwIHAPqmaIZx88slKa5o2bVpgn46c/5RTTgnrHIQQQuILZQMhhCQ2cVUgJITh8ssvx4MPPoh3331XVd646aablCVo3rx5Khm4srIyEL86efJkJQTkGIkplbre0ljokksuCViRfvjDH+KNN97AH/7wB+zZswe//e1vsW3bNlx11VVhn4MQQkj8oGwghJDExqQdNwOw5xFBsHTpUrz66qtKGOjdRgcPHqy6hc6ZMweLFy/G/Pnz1fFHjx7FokWL8NFHH6m4VinPd8cddwRiXAVpDCRNiMSaNGrUKNU8KLgcYDjnIIQQEj8oGwghJHGJuwJBCCGEEEIISR5SrHo4IYQQQgghpCehAkEIIYQQQggJGyoQhBBCCCGEkLChAkEIIYQQQggJGyoQhBBCCCGEkLChAkEIIYQQQggJGyoQhBBCCCGEkLChApGi+Hw+LFu2DLNmzcKUKVNw3XXX4dChQ/EeVlJQW1urGladccYZqjPtd7/7Xaxfvz7w/OrVq1XzKulcK42mpLst6Zp9+/Zh6tSpqjGYjnQClo7D8hs9++yz8fzzz8d1jMmANEM7//zzMWnSJFxwwQX497//HXhOGqz96Ec/Ur/b008/HQ8//LBqyEaIDmVD9FA29AyUDUkqG6SRHEk9Hn30Ue3UU0/V3n//fW3btm3a1Vdfrc2bN09zOp3xHlrC88Mf/lC78MILtXXr1ml79+7VFi1apJ100knanj17tN27d2uTJk3Sli5dqu4/++yz2oQJE7RPPvkk3sNOaFwulzZ//nxtzJgx2iuvvKL2VVdXq9/oHXfcoeby5ZdfVnMrtyQ0r732mvq9/elPf9IOHDigPfHEE9q4ceO0zz77TM2x/I1ff/312o4dO7R33nlHmzFjhvbII4/Ee9gkgaBsiB7KhthD2ZC8soEKRAoigmDq1Knan//858C+uro6tdCtXLkyrmNLdPbv368WsvXr1wf2+Xw+be7cudrDDz+s/fKXv9S++c1vtnnNzTffrIQw6Zzf/e532pVXXtlGSDz11FPa6aefrrnd7jbHyUJHOiK/w7POOku7//772+yX357Mpfxtn3jiiVptbW3guRdffFGbNm0aLw6JgrIheigbegbKhuSVDQxhSkG2b9+OpqYmzJw5M7AvNzcXEyZMwLp16+I6tkSnoKAAv//975ULUMdkMqmtvr5euauD51X4yle+gg0bNogyHocRJz7ym/vrX/+K+++/v81+mcsZM2bAarW2mcv9+/ejqqoqDiNNfDf/4cOHcdFFF7XZv3z5cuWalvmcOHEi8vLy2sxnY2OjCgcghLIheigbYg9lQ3LLBioQKUhZWZm6HTBgQJv9RUVFgedIaESYnnnmmbDb7YF9b731Fg4cOKBihmX+iouLO8xrS0sLampq4jDixEYE62233Ya77rqrw++xs7kUSktLe3WcySIkhObmZlxzzTXqYuWyyy7De++9p/ZzPklXUDZED2VDbKFsSH7ZQAUiBZEFSwhe6IS0tDQ4nc44jSo5+eyzz3DHHXdg3rx5mD17NhwOR4d51R+7XK44jTJxueeee1RyXHvLiBBqLuU3KvB32hGxFgkLFy7EhRdeiBUrVuC0007DT3/6U5W8yfkkXUHZEDsoG7oHZUPyy4Zj/iGSMqSnpwcWLf2+/kPJyMiI48iSi1WrVmHBggWqasGDDz4Y+KNrLwz0x5zbjhUhxHW6cuXKkM/Lb7P9XOqLWWZmZq+MMZmw2WzqVixMl156qbo/fvx4bN26FX/4wx84n6RLKBtiA2VD96BsSA3ZQA9ECqK7AysqKtrsl8f9+/eP06iSiz/96U+44YYbcNZZZ+Gpp54KaOsyt6HmVf4Ic3Jy4jTaxOSVV17B0aNHlXVOLE2yCf/7v/+La6+9VrlUQ82lwN9pR/Q5GTNmTJv9o0aNUiX6OJ+kKygbug9lQ/ehbEgN2UAPRAoybtw4ZGdnY82aNRg6dGgg3lC0UamrTI7PCy+8gF/96le44oorcOedd6okOZ1TTjkFa9eubXP8p59+qixRZjP18WDEMieu02DE3X/jjTfi61//Ol5//XW8+OKLqha1xWIJzOUJJ5yAvn37xmnUiYskwWVlZWHTpk3qd6izc+dO9Xc+ffp0ZdkTd7b8/evzKa+RNYEQyobuQdkQGygbUkQ2dKt2FElYpBa11PldtWpVm1rfUg+YdI7U9p44caL2s5/9TKuoqGiz1dfXazt37lTPL1myRNWnXr58OWt9R0Bwqb6qqipt+vTp2sKFC7Vdu3ap/VLr+9VXX433MBOWxx9/XJXhlLJ8wbW+P/30U83hcKiSktdcc436m9drfUvdf0J0KBuig7KhZ6FsSD7ZYJL/YqEBkcRCNPelS5eqzo6i6YsGKh00Bw8eHO+hJTTikn7ooYdCPiexhVJu7sMPP8SSJUtUSTmZT3FnS/dH0jVjx47F4sWLVbdWYfPmzbjvvvuUBbSwsBBXX301LaFdIDGtEkZRXl6OkSNHqt/f3Llz1XNSEWbRokUqvlhK9n3zm99Uz9MCSnQoG6KDsqFnoWxIPtlABYIQQgghhBASNjRLEUIIIYQQQsKGCgQhhBBCCCEkbKhAEEIIIYQQQsKGCgQhhBBCCCEkbKhAEEIIIYQQQsKGCgQhhBBCCCEkbKhAEEIIIYQQQsKGCgQhhBBCCCEkbKhAEEIIIYQQQsKGCgQhhBBCCCEkbKhAEEIIIYQQQsKGCgQhhBBCCCEE4fL/ARzudXziwFxlAAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 800x300 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, axes = plt.subplots(1, 2, figsize=(8, 3))\n",
    "\n",
    "sns.kdeplot(data=data, alpha=0.5, ax=axes[0])   ### seaborn ignores non-numeric columns, so no need to specify x or y\n",
    "axes[0].set_title('KDE')\n",
    "\n",
    "sns.kdeplot(data=data, alpha=0.5, ax=axes[1], fill=True)    ### add fill=True for filled KDE\n",
    "axes[1].set_title('KDE w/ fill')\n",
    "\n",
    "plt.tight_layout()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9f7559ca",
   "metadata": {},
   "source": [
    "A two-dimensional KDE estimates where pairs of values are concentrated. The horizontal and vertical axes still represent bill amount and tip amount; the contours show estimated joint density. Dense regions summarize clusters of observations, but a contour is not an individual bill and is not a fitted regression line. Compare it with the scatter plot to see the underlying points."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "a5e64d3c",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x300 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, axes = plt.subplots(1, 2, figsize=(8, 3))\n",
    "\n",
    "sns.kdeplot(data=data, x='total_bill', y='tip', ax=axes[0])  ### specify x and y for 2D KDE\n",
    "axes[0].set_title('2D KDE')\n",
    "\n",
    "sns.scatterplot(data=data, x='total_bill', y='tip', ax=axes[1])\n",
    "axes[1].set_title('Scatter')\n",
    "\n",
    "plt.tight_layout()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f239123e",
   "metadata": {},
   "source": [
    "Here we use density plot as an example of how Pandas visualization differs, syntactically, from Matplotlib and Seaborn:\n",
    "\n",
    "| Library                | Function                | Notes                       |\n",
    "| ---------------------- | ----------------------- | --------------------------- |\n",
    "| **Seaborn**            | `sns.kdeplot()`         | most common, easy to use    |\n",
    "| **Pandas**             | `.plot(kind=\"density\")` | convenient for quick plots  |\n",
    "| **Matplotlib + SciPy** | `gaussian_kde()`        | manual control over details |\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "d23884d0",
   "metadata": {
    "tags": [
     "thebe-interactive"
    ]
   },
   "outputs": [],
   "source": [
    "### Exercise: KDE for Two Variables\n",
    "# Practice path: Additional practice.\n",
    "# The manager wants to compare the shape of bills and tips side by side.\n",
    "#   1. Create two side-by-side axes, about 8 inches wide and 3 inches tall in total.\n",
    "#   2. Use sns.kdeplot() to draw a shaded density curve of total_bill on the left\n",
    "#      and of tip on the right.\n",
    "#   3. Title them 'total_bill KDE' and 'tip KDE', and keep the panels from overlapping.\n",
    "#   4. In a comment, answer: where does each curve peak, and are the two shapes alike?\n",
    "# Also explain one limitation: Is a density curve an exact record of how many bills or tips equal each amount?\n",
    "### Your code starts here.\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "### Your code ends here.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "19d4dec6",
   "metadata": {
    "tags": [
     "hide-input"
    ]
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x300 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "### Solution\n",
    "fig, axes = plt.subplots(1, 2, figsize=(8, 3))\n",
    "\n",
    "sns.kdeplot(tips['total_bill'], fill=True, ax=axes[0])\n",
    "axes[0].set_title('total_bill KDE')\n",
    "\n",
    "sns.kdeplot(tips['tip'], fill=True, ax=axes[1])\n",
    "axes[1].set_title('tip KDE')\n",
    "\n",
    "plt.tight_layout()\n",
    "# Answer: Bills peak near $16 and tips near $2. Both shapes lean the same way:\n",
    "# most values are low, with a long tail of a few large bills and large tips.\n",
    "# Limitation: The curve is a smoothed estimate, not exact counts; its shape depends on the amount of smoothing.\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fdd99195",
   "metadata": {},
   "source": [
    "## Relational Plots\n",
    "\n",
    "Relational plots show how variables move together (patterns, trends, clusters).\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "af639516",
   "metadata": {},
   "source": [
    "### Scatter Plot\n",
    "\n",
    "A scatter plot shows paired numerical values: each point's horizontal position is its x value, and its vertical position is its y value. Here, one point is one restaurant bill, with bill amount on x and dollar tip on y. A manager can use it to ask whether larger bills tend to accompany larger tips and how much tips differ among bills of similar size.\n",
    "\n",
    "Start by reading the overall direction and the spread of points, then look for unusual observations. An upward pattern indicates a positive association, not proof that one variable causes the other. The examples below keep the same observations and add one display choice at a time.\n",
    "\n",
    "**One relationship, one marker size.** The first call uses `s=100` to give every point the same marker size. Without a grouping mapping, all points represent the same plotted series; `legend=True` does not introduce group information by itself.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "d2c9ae37",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='total_bill', ylabel='tip'>"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.scatterplot(x='total_bill', y='tip', data=tips, s=100, legend=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c72aa2cf",
   "metadata": {},
   "source": [
    "**Control the panel size.** `plt.subplots(figsize=(4, 3))` creates a figure four inches wide and three inches tall, along with an axes named `ax`. Passing `ax=ax` tells Seaborn to draw in that panel. This changes the space available for the chart, not the bill or tip values.\n",
    "\n",
    "The points show a broadly positive bill-tip association with substantial variation. Compare points at similar horizontal positions: similar bills can have different tips. Closely overlapping points may be hard to distinguish; transparency or separate group panels can help when that matters to the question.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "0a9ebe02",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='total_bill', ylabel='tip'>"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 400x300 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(4, 3))\n",
    "sns.scatterplot(x='total_bill', y='tip', data=tips, s=100, legend=True, ax=ax)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2bea6342",
   "metadata": {},
   "source": [
    "**Use color to identify groups.** Adding `hue='sex'` colors the points using the recorded sex categories and adds a legend. You can now inspect whether the groups occupy similar regions of the chart while retaining the same bill and tip axes.\n",
    "\n",
    "Read both the legend and the locations of points. A color appearing more often can reflect more recorded bills in that group; it does not mean larger tips. Differences between these observational groups also do not isolate the effect of group membership.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "eb54404d",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='total_bill', ylabel='tip'>"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 400x300 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(4, 3))\n",
    "sns.scatterplot(x='total_bill', y='tip', data=tips, s=100, legend=True, ax=ax, hue='sex')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6f94b744",
   "metadata": {},
   "source": [
    "**Map party size to marker size.** Adding `size='size'` makes larger markers represent larger parties. The data column `size` counts people; marker size is its visual encoding. Use the size legend to interpret markers rather than assuming a particular marker represents a specific number of people.\n",
    "\n",
    "The chart now combines bill amount, tip amount, recorded sex group, and party size. Larger party markers often occur at higher bill amounts, but several mappings can make the chart harder to read. Keep only mappings needed for the manager's question. The exercise below uses meal time instead of sex as the color grouping.\n",
    "\n",
    "`bbox_to_anchor=(1, 1)` places the legend at an anchor on the right edge near the top of the axes, helping it avoid covering observations. Its final placement also depends on the legend's alignment; leave enough figure space so the legend remains visible. (`bbox` means bounding box.)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "99cbb688",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x117855a90>"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 400x300 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(4, 3))\n",
    "sns.scatterplot(x='total_bill', y='tip', data=tips, s=100, legend=True, ax=ax, hue='sex', size='size')\n",
    "ax.legend(bbox_to_anchor=(1, 1))  ### move legend outside the plot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "f5b328f5",
   "metadata": {
    "tags": [
     "thebe-interactive"
    ]
   },
   "outputs": [],
   "source": [
    "### Exercise: Scatter with Semantic Mapping\n",
    "# Practice path: Core classroom practice.\n",
    "# The manager wants one chart showing bill vs. tip, the meal, and the party size.\n",
    "#   1. Use sns.scatterplot() to plot total_bill (x) against tip (y).\n",
    "#   2. Color the points by meal time, and draw larger parties as larger points\n",
    "#      (point sizes from 30 to 180).\n",
    "#   3. Set the title to 'Tips: Bill vs Tip by Time and Party Size'.\n",
    "#   4. In a comment, answer: where on the chart do the largest parties appear?\n",
    "# Also explain one limitation: Does the association establish that adding a person causes a larger tip?\n",
    "### Your code starts here.\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "### Your code ends here.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "ba99e21d",
   "metadata": {
    "tags": [
     "hide-input"
    ]
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Tips: Bill vs Tip by Time and Party Size')"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "### Solution\n",
    "ax = sns.scatterplot(\n",
    "    data=tips,\n",
    "    x='total_bill',\n",
    "    y='tip',\n",
    "    hue='time',\n",
    "    size='size',\n",
    "    sizes=(30, 180)\n",
    ")\n",
    "ax.set_title('Tips: Bill vs Tip by Time and Party Size')\n",
    "# Answer: Larger party-size markers tend to appear toward higher bills and tips,\n",
    "# with overlap and exceptions. Marker size identifies party size; the chart\n",
    "# does not establish why a particular party spent or tipped a given amount.\n",
    "# Limitation: This observational chart does not isolate the effect of party size from bill amount or other factors.\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5edb7158",
   "metadata": {},
   "source": [
    "### Line Plot\n",
    "\n",
    "`lineplot` is commonly used for trends across an ordered x-axis. When an x value repeats, seaborn plots the mean and draws a shaded band around it. Here `errorbar='sd'` makes the band one standard deviation above and below the mean: how spread out the tips are on each day.\n",
    "\n",
    "Seaborn's default band is a 95% confidence interval, which describes how precisely the sample estimates the mean rather than how spread out the values are. Chapter 11 explains confidence intervals.\n",
    "\n",
    "The weekday example below summarizes separate bills by day; it is not a chronological record of sales over successive dates. Connecting weekday means does not show how a particular customer's tip changes over time. For a business time trend, use ordered dates or months, as in the homework revenue example; a categorical bar or point plot is another way to compare weekday means."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "8709dc92",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='day', ylabel='tip'>"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.lineplot(x='day', y='tip', data=tips, estimator='mean', errorbar='sd')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "2aee5c38",
   "metadata": {
    "tags": [
     "thebe-interactive"
    ]
   },
   "outputs": [],
   "source": [
    "### Exercise: Average Tip by Day\n",
    "# Practice path: Additional practice.\n",
    "# The manager wants to compare the average tip on each day and how much tips vary.\n",
    "#   1. Use sns.lineplot() to draw tip by day from tips, showing the mean tip for each day.\n",
    "#   2. Show the spread of tips as a band one standard deviation above and below the mean.\n",
    "#   3. Set the title to 'Average Tip by Day'.\n",
    "#   4. In a comment, answer: which day has the highest average tip,\n",
    "#      and on which day are tips most spread out?\n",
    "# Also explain one limitation: Does the standard-deviation band contain every individual tip?\n",
    "### Your code starts here.\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "### Your code ends here.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "00c7959a",
   "metadata": {
    "tags": [
     "hide-input"
    ]
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Average Tip by Day')"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "### Solution\n",
    "ax = sns.lineplot(x='day', y='tip', data=tips, estimator='mean', errorbar='sd')\n",
    "ax.set_title('Average Tip by Day')\n",
    "# Answer: Sunday has the highest average tip (about $3.26).\n",
    "# Saturday's band is the widest, so Saturday tips vary the most.\n",
    "# Limitation: The band is the mean plus or minus one standard deviation, not the full range of observed tips.\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "cd8f84de",
   "metadata": {},
   "source": [
    "## Categorical Plots\n",
    "\n",
    "Categorical plots summarize or compare values across groups.\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a446a5a9",
   "metadata": {},
   "source": [
    "`sns.catplot()` is a figure-level wrapper for categorical plots (`kind='box'`, `'violin'`, `'bar'`, `'count'`, etc.).\n",
    "\n",
    "Use it when you want consistent faceting/layout behavior across categorical plot types.\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c35fcb54",
   "metadata": {},
   "source": [
    "### Box Plot\n",
    "\n",
    "A box plot summarizes a distribution: the line inside the box is the **median**, the box spans the middle 50% of values (25th to 75th percentile), the whiskers extend to observed values within the outlier thresholds, and points beyond the whiskers are possible **outliers**. For a labeled example, see the BoxPlots section of [Pandas Chart Types](../05-visualization/0502-pandas-chart-types.ipynb).\n",
    "\n",
    "When you compare boxes, compare the **typical value** (the median line) and the **spread** (the height of the box) separately. One day can have a higher median bill and also more variable bills.\n",
    "\n",
    ":::{note}\n",
    "The `with sns.axes_style(...)` block is a **context manager** that temporarily applies a style only to the plots created inside it. Once the block ends, Seaborn reverts to the previous theme — nothing is permanently changed.\n",
    ":::\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "box-plot-reading",
   "metadata": {},
   "source": [
    "**Read the parts of a box plot**\n",
    "\n",
    "In the labeled delivery-time example below, the **first quartile (Q1)** is the 25th percentile, and the **third quartile (Q3)** is the 75th percentile. The box extends from Q1 to Q3, and the line inside it is the **median** (50th percentile). The **interquartile range (IQR)** is Q3 minus Q1, the width of the middle half of the data.\n",
    "\n",
    "With the default rule, the whiskers reach the smallest and largest observed values within Q1 minus 1.5 times the IQR and Q3 plus 1.5 times the IQR. These thresholds need not be observed values; the whiskers end at actual observations within them. Points outside are flagged as potential outliers. They can represent valid unusual deliveries, so investigate them before removing anything.\n",
    "\n",
    "This chart is horizontal: further right means more days, and a wider box means more variability in the middle half of the deliveries. For a vertical box plot, read higher values and taller boxes instead. Whiskers need not show the full data range, and the median is not necessarily the mean.\n"
   ]
  },
  {
   "cell_type": "code",
   "id": "labeled-delivery-box",
   "execution_count": 1,
   "outputs": [
    {
     "output_type": "display_data",
     "metadata": {},
     "data": {
      "image/png": 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zklKSRlKJ6f8KZfn4zwcACH/UsACAMKS70UqrVtq5m96vbhTqh7927doYu2a43Sx0YaMMAqXsB16wq26B+uX701133V3XhbzqO/jTkIm6C5yctH5diCm7JPCCWtuhO9JxFd9tTwwFR5Qyr4tOXWx27NgxQe9XQin9X+vRMKNalgIWunC96667Is2XXO3RRbeCJqpLMG/ePFvzQF1B1CUkNVLASRkX6mKTXO+Z6HPuDhPqn5FQr149+zNw6FZ55ZVXIs0jbnBKQ9JqGFrVkVDmzT333BOpq0tKcNulWiFuxpRL3UDUJUiZHwoYupT1FNfhUgEAqQ8BCwAIU+rzL6oNoIsSGTZsmO+utgpZqrjismXL7MXqiBEjbBr7m2++aefRBaPSxHWneODAgbabwKJFi8zzzz9vmjRp4lumS10l3CKKLVu2tLUF9Bpleqj/uoo0Jiet/4EHHrDt0t1h3SXW+pU2r+4N7l3bwMKPwcR32+NCd7HdYpHuPn/qqadscEnvg9Lxlemgi0VXfN6vhNL+UK0KBU5UHFV3sVUsMVh2QHK1R91C1A5dJKvoon+xzdRGnxddROvz36JFC9vV5ccff7QX2woIKItF2Qxxpe4P/oVG1XXn9ddft/Um3OK6/hkHbpFQ1V/R90EZQlq3CmqOGjXK7ud+/fpFCmIsXLjQtkmFU1UzQ8FFfV4VSPPvdpXctL/0fVA2lAKF6u6i754yxRRYU40aBfT8M0RUR0TBDX02f/75Z7uPkvv/GgBACgr1MCUAgMQNa6qf0alSpYqdZ+7cub5pL7zwgh2yMLrhEjX0ov9woNENqaiHftdQhK5z5845jRs3jjJ/1qxZnSFDhiRoWNOFCxdGO+Rj586dI00/c+aMc+ONN0ZZf7Zs2ZxnnnnG/q52xEV8tz22YU1jepQuXdr59ttvg74+Pu9XfIc1dW3fvt037KseX331VbTbE5/2xPQeBmratKmdV5/ZhErssKbBPhvua4Itc8uWLfa5Dh06RJr+xRdfODlz5ox2H3Xq1CnRw5rqUbx4cWfz5s3xGvJ4xIgRkYY61XCt+vz5D98rXbt2tfMPGzbMic+wphrSNC6CDWsqq1atssMyB2u7hpj1H07XfxhZ/0e3bt3i1AYAgPdRwwIAUvlwpvoZnWeffdbeVdVd2datW/umKeVeXUXUtUFFArUM9YHX3cuKFSv6Xq873brjqXl37txpazpoOffdd58ddlB3Yd0hIEWjE2hYSw1TOXfuXLtsjRqgO7pK21bKf9GiRaMUZNR2BBba03yaHuxOvzvUY2DxxyxZstiijRrZQ3eWtX5tj9av6RLYfz868d326Kibh3+xSN3hVhaFtldt0/CpytqILvMjPu9XdPsyuukudfVQdsO6devs/m7WrFm02xOf9sT0Hga67bbb7HuUmOwKZRpofarDEIwKTup5d3QP/yKW0X2X3NcEW6Y+b3quVKlSUbZFGT0aeUN3/VU7Qp8DfV7btGkT6wgi/p/xQPqOqZ1ahrpyBCtKq1GD9JlSxo478oZG61AGhdudQtkKygLRaBv6vgQuR1kWGvFF3yNlXwRuY6By5crZTAf/DKGYVKpUKeh3Ue1R9w914frpp59sLQ59fpW1pe3V9vvTNimjRd2U1K1F26XPMwAgPEQoahHqRgAAkFSUQu+OmOBSPQoNxakL8hUrViR4FAMkb/2CNWvW2IvkuF70AgCA8EaGBQAgrCgY0a5dO3t3WnUotm3bZusqKFihu7cEK7xj06ZNtjDstGnTbKFW1VwgWAEAAFxkWAAAworS/Xft2hW0u4CKaFauXDkk7UJUN9xwgy3aKTly5LAjkETXnQMAAKQ9ZFgAAMLKH3/8YSZMmGCHH1WfdtVPUHeDBx980NYRgHeo7oFGBVFtB42YQrACAAD4I8MCAAAAAAB4TrpQNwAAAAAAACAQAQsAAAAAAOA5BCwAAAAAAIDnELAAAAAAAADhOUrI8ePHzdKlS02xYsVM5syZk2KRAAAAAADAw86dO2eHk2/YsKHJkyePNwMWCla0bds2KRYFAAAAAABSkTlz5pg2bdp4M2ChzAq3kaVLl06KRQIAAAAAAA/bunWrTV5wYwKeDFi43UAUrKhYsWJSLBIAAAAAAKQCyVUagqKbAAAAAADAcwhYAAAAAAAAzyFgAQAAAAAAPIeABQAAAAAA8BwCFgAAAAAAwHMIWAAAAAAAAM8hYAEAAAAAADyHgAUAAAAAAPAcAhYAAAAAAMBzCFgAAAAAAADPIWABAAAAAAA8h4AFAAAAAADwHAIWAAAAAADAcwhYAAAAAAAAzyFgAQAAAAAAPIeABQAAAAAA8BwCFgAAAAAAwHMIWAAAAAAAAM8hYAEAAAAAADyHgAUAAAAAAPAcAhYAAAAAAMBzCFgAAAAAAADPIWABAAAAAAA8h4AFAAAAAADwHAIWAAAAAADAcwhYAAAAAAAAzyFgAQAAAAAAPIeABQAAAAAA8BwCFgAAAAAAwHMIWAAAAAAAAM8hYAEAAAAAADyHgAUAAAAAAPAcAhYAAAAAAMBzCFgAAAAAAADPIWABAAAAAAA8h4AFAAAAAADwHAIWAAAAAADAcwhYhLG///7bfPzxx+bkyZOxzrtnzx4777Fjx5JtHQAAhJPPP//c/P7773Gad+7cuebXX39N1nUAABBuMpgwMmvWLHPFFVeYhg0bhropnrB06VJz7733mg0bNphy5crFOO+KFStMx44d7c9atWolyzpCYf369WbNmjXmyiuvNDfeeGOomwMAqZIC08WKFTP169eP8pwC3V9//bWpUqWKqVChgklL7rvvPnP33XfH6bjZt29fc8MNN5i6desm2zpSyqpVq8zGjRuDPte+fXuTIUNYnV4CAEIorI4o3bp1sycDBCzir2jRoqZDhw4mX758JhyMHDnSTJs2zVy+fNmeVLVs2ZKABQAkkALa7dq1Cxqw2LZtm31++PDhaS5gER+33nqrJwP7CTF16lTz2muv2fOGQLfffjsBCwBAkgmrgAUSTndudActnMyYMcNUqlTJZMmSJdRNAQCkcW+99ZYJN+F23gAA8J40WcPi33//NYsXLzazZ882q1evNo7j+J5TLQYdgHfu3BnpNZr3008/DVr34ciRI5Gmnz9/3vz888+23+lPP/1kLly4EG3dh0uXLtl5tOzA+ZKqPaL1/PDDD+aLL74we/fujXMNi4sXL5rly5fb16m7yNmzZ01cu2JoeeoqEngn7ssvvzTz5883Bw4ciPK6mTNnmpUrV9rft2/fbubMmeNbhlKOtU/j4umnn7bBCgBAyvOvu7B161bfMcT/eJuQef2Po6oJMW/ePLN///4Yl7ljxw67zLVr10bbtfGbb74JegxTe/xpnb/88kvQ5bjrUZ2KYG2ProaFju86vqkNwY7Pweg8Q8dLHU/913Xq1Cnz3Xff2e3/448/orTjr7/+8gUZdDxfsmSJbbP/uYl+AgDgGU4SWLt2rY6I9mcoZc+e3bn55ptjnOfNN9+081WoUMHOmzt3bqdmzZrOtm3b7PPnzp2zzz/++OO+1+zZs8dunx7r1q3zTR82bJiTIUMG58SJE75ps2fPdgoXLuxcffXVTqtWrZySJUva33/77TffPJMmTbLL+vrrr506deo4TZs2ta85duxYlPYmpj3uer799lvnhhtucJo1a+ZUqlTJyZgxozN58uRI61G7Ne+KFSt80/R7sWLFnBIlSjht2rRxrr/+ers9c+bMibItGzZs8E37/PPPnWzZsjkdO3Z0zp49a6ft37/f7m9Nb9SokXPjjTc6WbJkcZ599tlI7cicObPTr18/p3///k716tXtOkeMGGGfq1q1qn2/4kvL1HsBAEgY/T/frl27oM/pWKHnhw8f7pum/6sfeOAB54knnrD/l+s4p2NZvXr1nEOHDkV6fXzm1d+tW7d2smbN6jRs2NA+dCzRay9fvhxlmQMHDnSqVavm1K9f3xk6dGjQ9uu1Wp+Ot64777zTblOvXr18044ePeqkS5fOeemll6Ks5/nnn3dq1KjhNG/e3LatQYMGzpkzZyKtR+cCnTt39v198eJF+7fmb9KkiXPLLbf45rlw4UKUdbgOHz5sj6E6b/A/txgzZoyTM2dOp3z58vaYp+e1P//++2/fPE899ZTvWK/zAbW3TJkykY7n+hmbAQMG+M4vPvvsM2fp0qXOqVOnYn0dACD8rE3mWECaCljoQlvtfO6553zTdu/e7ZQuXdoe4N0TBJ00VKlSxTePLu5z5MjhFCxY0Bk9erRvuoIAOglyLVu2zAYMHn74YXsiIlpmp06dnAIFCvgCEu5JgU5otm/fbqft3bvXOX36dNB2J7Q97np08rdz5047TSd0OhHLmzdvlEBLYMCibt26Nrhw6dIl3zQFHubNmxdtwGLUqFH2hG7QoEG+efT6WrVq2cCH/4nT4sWL7bwTJkyIFFxQUOStt97yTdu6davvROu+++5z4ouABQCkfMBC/5e/+uqrvmkbN250rrjiChtw8BfXeXX8UhBDgfQtW7b4pv/www/22Dt27Ngoy3zllVeiHEsCffPNN76Lb/eYlT9/fqdUqVLONddc45tPF+aBx0mt59prr7U3Q1w//vijnc//OBYsYPHxxx/b+f78889I2zht2jRfsD8wYKH9onZVrlzZd1yXDz/80C7rjTfe8E37999/7TmBgv3ucdwNWNx11102AOO/X77//nunQ4cO9mdcAhY6tuqmS8uWLW1wRO30fw8AAGnDWgIWSRew0MX3lVde6Zw/fz7S9ClTptgD+BdffGH/VhAgIiLC2bdvn/1bJxg6adJPBQ/cEwGdIPnfsdEdDQUR/O/SuMEILf+dd96JdJH/2muvxWm7Etoedz3jxo2LtDwFCjR90aJFMQYsihcv7rRt2zbGtrnr+Ouvv5yePXvaExjtT39z586188yYMSPK62+77bZIwRi9Xnd7/O+UJRYBCwAITcDCP+AtykTQvP7Bg7jOq2NWdBkAugB3MwXcZSrYELjMYJQJoSyNp59+OtL2uAGFzZs32+kKGuTLly/SMrWecuXKRTlmKXshMLMvMGDx+uuv2+X7B/KDcQMWS5YssTcbFCDQMd+fghgKHgRSEMY/GOMGLObPn+8khs4jDh48GGkf6oZCdMd6AED4WpvMAYs0VXRTw3CpwnnGjBkjTa9Tp47v+dtuu800a9bM9vtctGiR6dKli6138eyzz5rcuXObhx56yPYd/f777219B83rUt9UjbahPqXyvwwW+8iWLVuU/rNxHaIsoe1xVa9ePdLfGppOdu3aFeN6u3fvbp5//nlz3XXXmTZt2tjRVzQcW7DhyjTk2u7du23bNFKLP7fP7tGjR81nn33m2yeudevW2b8jIiLs3zVr1vT9DgBInWrUqGHSpYtcKqt27dq+422pUqXiNa97LDl+/HiUY4nqNG3evNkeDzNlyuQ79gUuMxgVZtZxSzUkRowYYY+1JUuWNHfeeafp06ePnX7ttdfa6U2aNImyzGrVqkU5Zuk4G9sxtm3btvYYq23Xum666SbTuHFjU7BgwSjzfvvtt+aDDz6wx+Vx48aZ9OnT+547fPiwrQ9VpkwZ334R/XTrUun8Q8t3JXaIVO2HwH349ttv27pTo0ePtucEAAAkhTQVsNCJTNasWaNMVzDBfV4qVqxorrzySnuSUrVqVVscUoEABQhU0EoFNXXikitXLnsx7zpz5ozvRCrYcGaVK1eONK1AgQJxandC2+PSfP7ck7lz587FuN5hw4bZoUBV2Gv69OnmueeeM4UKFbInSxq2zN8111xji2PqxDIwYKH94p5wBQY79H5ozHYFW9xAUlz3CwAgZej/52CFof2PJZkzZ440Pdjx1p3mHm/jM697LFGRzMB16diiITZ1LHGPcfE5luiYqmLNuvjX8VR/KzChC3P9raGxVQha88R2jBW1IbZjbIkSJexxc9KkSbb4pYbiPn36tB0iVtPc7ZD8+fPbtqlo5okTJyINQe7uFwVIgp1/aL9cffXVkaYlx3FWQYvy5ctHKbYNAEBipKmAhU4OtmzZEmW67sq4z7uaNm1qq3YrQKA7Je7Y6Rp5QoEDncDoboX/BXjp0qXtCUZch/mKTxZBQtqTFLRePeSff/4x7dq1M/fcc48NzPivS+Ox625W37597R2dQYMGRdovMnDgQJs9ERuyKwDAW3TBqwv2YNzpClz7Cxxhw3+a//E2rvO6x5LHH3/cZksm5bFEAYqnnnrKjpihmwAPP/ywnd68eXPTv39/s3DhQvu3ezxMKoULF7bHRj0UmNHQp9o+Bf579+7tm0/H/vHjx9v2KNtRx/0iRYr4lpEjRw6b6TFlypQ4rTe5jrP79u2LFEwBACCx0tSwprrLoGFM1X3CpZRJpS8qy0LdQVw6KVEmw9ixYyN1s9DvyjbYuHFjlBOX+++/3w4j9tVXX0VZ93///WfvjiRUQtqTWIFDmxUvXtw0atTI3gHSI9ALL7xgAxdDhgyxJ3huWupdd91l8uTJY1588cWgQ71pKLi4iM+wpgCApKP/x9WtIHBIT2U0qKuCsgx0Me1Px1sdE13K0FCGnrpbBGYDxmXeO+64w2YavPTSS+by5csJPpYEo4v9K664wgwfPtxuk7pmuMdYDYX+yiuv2G4pgYGWxNBNAP/t0A0PtytFsOHJlaWpYdCVWamAhhsoUvaLuorMmjUraHbDwYMHgx6zA8V1WFO9NwpMBFI2ptqkGxsAACSVsMuw0HjswTIc1Cf0ySeftOOTt27d2jz66KO23oT6W6qrgu5K+KdIukEBjY/ufxKm3xXg8J/HpXoSqseg7h9du3a1J1k6sGva/PnzzezZs+0JUUIkpD2JdfPNN9sMDtWtUFcQBUXUR1V3ntT9JBgFKvLmzWt69eplszDef/99e4KpQIO6fqhPsk58ta91YqO7Vg0aNDCvv/56rO3R3S+dkOqkNTY//vij2bNnj/1dJ4Qa2979XKi/sPr6AgDiRl0CVUNCXSQeeOABe2xQXaJPPvnEHhv0M7BrhP6vf+KJJ2ygW8c+Bdd1Qa2gfmAdiLjMq+XrmK0uicrW08W9ju26wFZAW9PeeeedBL2lyjjQtmk7dMxTkN0N1JctW9Zs2rTJPPjgg0n6cdFx8b333rM1olQjQ0GFyZMn2y6g3bp1C/oaBU0UtNCxX0ELZVeq2+ioUaNsHQudd/Ts2dO+P+o6om6aP/zwg1mxYoWv+2t01NXm3nvvtd1RYgrM6LxG3UWV5aJAj7I79Nn48MMPbbsGDx6c6H0DAEBYBix0QXz27Fl7QhOoQoUK9o6JDu4KHChIobsbOjFRCqZOFvwpxVLdG3Rnwr+4lC6udZKUPXt2exITeMKjk6UePXr40kp18a4L5Jdfftl3ka8TAWV7RHfRH0xC2hPdejSvprvptaLgjab5p3LqJHTevHlm2bJl9sRR6acqqlmvXr0Y16ETHm23AgTqT6vn1V1F6b2atnLlSnvypztnEydOtKmu/iet2l/BtGjRwhw6dChO+0t3Af/880/7uxvgcD8XOuklYAEAcad6Ejp+KjCg46cyFVWzQIWgdQzSMSqQ6kzo/11dlC9fvtwer3RR619sM77z6iLd/1iiLp06Dikbw//Yobv8btHOuFKWgrRq1SrSdN3g0PaqtkSg6NajC/rAtutmhtud012uMjt1nNT5ggIK6gai/akgQHTrUEBDQQjdhNE5h4IVOq4vWLDA1sLQe6Tgg2406LipGwduzQ8db3VMDsY9nseWRaJ26pxA51J6r3Reovdf69eNE7p1AgCSUoSGCknsQpRBoGi+0kUV6QcAAGmXMhR04f3uu+8m6bwAAMBbkjsWkKZqWAAAAAAAgNSBgAUAAAAAAPAcAhYAACBJxaeGRELqTQAAgLQhrIpuAgCA0FNB5eSYFwAApC1kWAAAAAAAAM8hYAEAAAAAADyHgAUAAAAAAPAcAhYAAAAAAMBzCFiEsZ07d5rJkyeHuhkAAKQ6Bw4cMI0aNTLLli0LdVMAAEizCFiEsXfeecfce++9Zv/+/aFuCgAAqcqIESPM0qVLzcmTJ0PdFAAA0iwCFmHswoULkX4CAIDY7du3z7z33numRo0a5uabb2aXAQAQIgQsAAAA/IwcOdKcPXvWDB061ERERLBvAAAIEQIWAAAA/7N3716bXVGzZk3TunVr9gsAACFEwAIAAMAvu+LcuXNkVwAA4AEELAAAAIwxe/bsMePHjze1atUyrVq1Yp8AABBiBCwAAACMMS+//DLZFQAAeAgBCwAAkOb5Z1fccsstaX5/AADgBQQsAABAmkftCgAAvIeABQAASNPc7IratWuTXQEAgIcQsAAAAGnaiBEjzPnz5xkZBAAAjyFgAQAA0qzdu3eb999/31x33XWmZcuWoW4OAADwQ8ACAACkWWRXAADgXQQsAABAmrRr1y4zYcIEU6dOHdOiRYtQNwcAAAQgYAEAANLsyCDUrgAAwLsIWAAAgDSdXXHzzTeHujkAACAIAhYAACDNoXYFAADeR8ACAACkyeyKunXrkl0BAICHEbAAAABpyksvvWQuXLhghg4daiIiIkLdHAAAEA0CFgAAIM34559/zMSJE212RfPmzUPdHAAAEAMCFgAAIM1lVwwbNozsCgAAPI6ABQAASBN27txpPvjgA3P99debZs2ahbo5AAAgFgQsAABAmhkZhNoVAACkHgQsAABAmsmuqFevHtkVAACkEgQsAABA2GNkEAAAUh8CFgAAIE1kV9SvX980bdo01M0BAABxRMACAACEtRdffNFcvHjRDB06lJFBAABIRTKEugFAanHu3DkzZcoUs2jRIrNnzx6TNWtWU6VKFdOtWzf7M9DZs2fNggULzKeffmq2bt1qOnToYJ544olEt+Onn34yM2fONOvXrzcZM2Y0FStWNI888ogpVqxYopcNJLVNmzaZSZMmmZUrV5r//vvPFC5c2DRp0sR0797dZMuWLdK8ly9fNvPnzzdffPGF2bJli8mdO7f9bvXu3dtcddVVSdamgQMH2u+xahmMGTMmyZYLb9qxY4f9DCq7Qp89AACQepBhAcTB5s2bTeXKlc3w4cNNgwYNzMiRI82jjz5qDh8+bGrUqGEGDx4caX5dmBUvXtxMnTrVzv/HH3/YlOTE6t+/v2nYsKE5deqUefLJJ81DDz1k/vrrL1OmTBkbHAG85NVXX7UBtW3bttnP6qhRo0yLFi3MG2+8YcqXL28/u/4UxPj444/NjTfeaF544QXTsWNHG8AoW7as+fXXX5OkTfqevP7662bVqlX2e420k10xbNgwsisAAEhlyLAAYnHy5EnTsmVLe6L7+++/mwIFCviea9WqlalWrZoNJOjOsS7KRNkX27dvNzly5DD79+83ffr0SZovbIYMZvHixeamm27yTdMFYNWqVc2DDz5ogyJqJxBq06ZNsxlFCubpQtGlu9zKNrrhhhvs92r16tXmiiuusM+9++67UbIumjdvbgoVKmSDhHPmzElUm44cOWJ69uxpMywUTEH4+/vvv83kyZPt561x48ahbg4AAIgnMiyAWLz99ts2+PDaa69FCla4lGmhoIUuzM6cOWOnpU+f3gYr4koBiM6dO8fpTqF/sMINYtSpU8fs2rXLXpABoaa72U8//bQpXbp0lOwjyZUrl+2KsXfvXpvt4AoMVkj+/PlNzpw5bdaSv3nz5platWrZn3GlriX58uUzzzzzTLy3Cal3ZBBqVwAAkHoRsABiobu6upBSNkUwymi48847bbDgxx9/TND+VP/+devWxTqfalYEo8wPtVEXgkCo6fO4e/duc8cdd9jgXTCNGjUyBQsWjDFrwnEcM3bsWHPixAnTq1evSM+pO5a6WulnXKh71qxZs8zEiRNNpkyZ4rlFSM3ZFepiRHYFAACpE11CgDgUDSxZsqTNZIiOaki48yqFPb6+//77BF9EjR8/3qxZs8bePeZCDF6g74H/9yI61157ra1NocCEf1cmZREpSKGghyiL4pZbbon02ltvvdWsWLHClChRItb2aDl9+/a1xWmVjYS0gZFBAABI/QhYALE4f/58rIGAzJkz258XLlxI0P5Ul5KE+Pnnn02/fv3shZ/6+ANe+c5IXL43Ghnk0qVLkQKCo0ePtqPsqCuWflcxzi+//NLUrVs3UlcRPWKjYMi9995r8ubNawt5Im3QZ0fZFSp6HNiNDgAApB4ELIBYqJimCmfGZN++ffZn0aJFU2x/qhuJuqmoIKGGaKQ7CLz0nZG4fG80b2D2khvAU4CiTZs2dqQRBR02bNgQ77aoC4gK1X7zzTcme/bs8X49Um92hQJhQ4cOpRAxAACpGDUsgFjoDp2KA27ZsiXaeZYuXWrSpUuXYunma9eutV1PVIzw22+/NVdffXWKrBeIi3r16tkghLo6RUfBDHUd0bwxUZBBI4ts3LjRnD59Ot5vgF6nTA+NDKIine5DBXJ/+eUX+/sHH3wQ7+XC29kVH374of2/W7VSAABA6kWGBRAL9Xv/6KOPbDq5ToID6a7vZ599ZvvUp0TgQBd5TZs2NVmyZDHfffedra8BeIm6anTp0sVMmTLFFuBUUCDY6A3qDhKXIX9VPDFPnjx2uOD40ig+d999d5TpuphV5oZGK7nqqqvivVx4l/6vVnaFhtNlmGcAAFI3MiyAWFSvXt2MGjXKBi0GDBgQaXhFFQxUMcAiRYrY4pcJFddhTXfs2GGDFRotRHevS5UqxfsHT3rjjTdMhQoVbCBPWUAu1abQheRbb71lsx7c+gIqsjlo0KBIo36cO3fOXnwqE6J///6RLj7jOqypumn5Z1a4D2VEqRuVftf3F+Fh27Zt9v/qhg0bkl0BAEAYIMMCiAMFKjTiwZAhQ8y4ceNsoODff/81//zzjw00qDBggQIFIr1Gd3W3bt1qLl68aP/+9NNPbYBDXnvtNXtC7V+P4tixY7G244knnrAjHhQrVsx06NAhyvOffPIJQQx4Qu7cuc2yZcvsd6Z9+/Y2O0KZF0rXVxcNZV8oC8O/64cCCLVr17bFa/W7vl96zZtvvmkznRIzrCnSXu0KAACQ+kU4KqGeSOvWrTOVKlWy/eqVYgtv0B1JXUjrpF8XuEgaukBSTYtVq1aZHj162AyLWbNmRSkcqO+F+skHU7p0aZvi7tKydBGnO9Kx3T2MKbCh76G6igBeogtIZQcdP37cZld89dVXZs6cOVGGKnUdOHDA1ri44oorou2uceTIEdtVRMOaxmW0kEAKEubIkcOOsIPwoABxuXLlzI033mi7ywEAgOSX3LEAMiyAeNJFlB5VqlSxf2vIRT10x9g/ZT0+X9i4DmtKFxCkRunTp/d9dpUFpIKxyrpYuHBhpEwjl0a+0SMmcR3WNKauXgjP7Apl9QAAgPBAwAJIhK5du9o+8Bq9QA+GTQRipq4hCxYssMVjleEAJFV2hYLGGhWEkUEAAAgfBCyARIqtGweAyDQcb7CRQ4DEjgxC7QoAAMILo4QAAIBUnV0xdepUO+JMsC5GAAAg9SJgAQAAUq3hw4eTXQEAQJgiYAEAAFKlLVu22OyKxo0bmwYNGoS6OQAAIIkRsAAAAKm2dsXly5epXQEAQJgiYAEAAFKdzZs32+yKJk2amBtvvDHUzQEAAMmAgAUAAEi12RVDhgwJdVMAAEAyIWABhMCAAQPMXXfdxb4H4ujgwYOmVKlSZtGiRewzmE2bNplp06aRXQEAQJgjYAGEwC+//GKWLVvGvgfi6O+//zbbt283q1evZp+B2hUAAKQRBCwAAECqyq6YPn26adq0qbnhhhtC3RwAAJCMCFgAAIBUY/jw4YwMAgBAGkHAAgAApAobN240M2bMMM2aNTP169cPdXMAAEAyI2ABAABS1cggQ4cODXVTAABACiBgAQAAUk12RfPmzU29evVC3RwAAJACCFgAAIBUU7tiyJAhoW4KAABIIQQsAACAp23YsIHsCgAA0iACFgAAwPPZFY7jULsCAIA0hoAFAADwdHbFxx9/bG6++WZz/fXXh7o5AAAgBRGwAAAAnvX888+TXQEAQBpFwAIAAHjS+vXrzSeffGJatGhh6tatG+rmAACAFEbAAgAAeBK1KwAASNsIWAAp4MKFC6ZJkya2H3ag77//3t45PHLkCO8F4Gfu3LnmpptuMidOnIi0X1R8sWfPnrarAMLXunXrbHZFy5YtTZ06dULdHAAAEAIELICU+KKlS2dTm/v372/OnDnjm3758mXz6KOPmr/++stERETwXgB+Tp48aQN6b775ZqT9omkTJ040+/btY3+lgeyKIUOGhLopAAAgRAhYACkgffr05umnn7YXWO+//75v+hdffGFWr15tevfubfLly8d7Afi56667TKlSpczo0aNt8ELcoS0zZMhgnnjiCfZXGGdXfPrpp2RXAACQxhGwAFLI/fffbwoXLmxGjhxpLl26ZC+8hg0bZrJmzcqFFxCEghKDBg0yx48ftxevsm3bNvPDDz+Ybt26mZIlS7LfwhQjgwAAACFgAaQQBSbcLIuDBw+as2fP+rIrFMgAEFXnzp1tloVb/2XRokU2kPHMM8+wu8LU2rVrzcyZM80tt9xirrvuulA3BwAAhBABCyCFsyyKFCli9uzZY1PcFcR48skneQ+AWLIs3C4h27dvJ7sizJFdAQAAXAQsgBBkWWjUkIsXL5qHHnrIFCpUiPcAiCXLomjRor4CtmRXhH92RatWrUzt2rVD3RwAABBiBCyAFNarVy+TKVMmOyoIRQOBuGVZ6Hsj6iJA7Yrw5Q5Vy8ggAABAMrAbgJTPspg2bZo5fPgw2RVAHD377LP2OzNgwAD2WZhas2aNza5o3bo12RUAAMAiYAGEQPv27dnvQDyHBh4zZgz7LIyRXQEAAALRJQQAAITUX3/9ZT777DObXVGrVi3eDQAAYBGwAAAAnsiuGDp0KO8EAADwoUsIEAIfffSROXr0KPseiKd8+fKZrl27st/CLLti1qxZ5tZbbzU1a9YMdXMAAICHELAAQkDBikOHD5ssOXOz/z3m7MkT9ifvjXffG4SXYcOG2Z9kVwAAgEAELIAQ0QVxjdZ3sv895s95M+1P3hvvvjcIH6tXrzaff/65ue2220yNGjVC3RwAAOAx1LAAAAAhwcggAAAgJgQsAABAilu1apXNrmjTpg3ZFQAAICgCFgAAIMWRXQEAAGJDwAIAAKR4dsXs2bNtdkX16tXZ+wAAICgCFgAAICQjgwwZMoQ9DwAAokXAAgAApJiVK1eaOXPmmLZt25JdAQAAYkTAAgAApBiyKwAAQFwRsAAAACmWXfHFF1+Y22+/3VSrVo29DgAAYkTAAgAApAiyKwAAQHwQsAAAAMnuzz//tNkVd9xxh6latSp7HAAAxIqABQAASLHsisGDB7O3AQBAnBCwAAAAyeqPP/4wX375JdkVAAAgXghYAACAZEXtCgAAkBAELMLY+vXrQ90EAECY++ijj+wjpuyKuXPnmnbt2pkqVaqkaNsAAEDqliHUDUDyOXv2LLsXAJCsjh49GuPzQ4cOtT+HDBnCOwEAAOKFDAsAAJAsfv/9dzNv3jzTvn17U7lyZfYyAACIFwIWAAAgWTAyCAAASAwCFmFmzpw5ZtGiRVGmnzt3zowaNcrs378/JO0CAIS3S5cumQ4dOphvvvnG/r1ixQqbXXHnnXeSXQEAABKEgEWYGTlypD05PH78eKTp48aNM0899ZRZunRpyNoGAAhfBw8eNJ9++qkNUgjZFQAAILEIWISZhx56yJw4ccK8+eabkYpvvvzyy6ZIkSKmTZs2IW0fACC8RUREmOXLl5v58+fbAHqlSpVC3SQAAJBKEbAIM506dTKlS5c2o0ePNhcvXrTTpk6daruCDBw40GTJkiXUTQQAhDllVyhwMXjwYLN27VrTqlUr8/3334e6WQAAIJUhYBFmMmTIYAYNGmSzLHbv3u3rDqLsil69eoW6eQCAMOU4jv2pAPmCBQvsyCDKtLjuuuvM119/zVDbAAAg3ghYhHGWhRuwOHToENkVAIAU8dtvv/m6I/bo0cNcccUV5ocffjAtWrTgHQAAAPFCwCKMsyxUsV0KFixIdgUAIEXs3LnT5MyZ08ydO9e0bt3arFy50tSrV4+9DwAA4o2ARRhnWWTNmtX+3qdPH2pXAABSzJkzZ8yrr75qvvzyS5M/f372PAAgUXQjdvv27bYukn66N2YR/jKEugFIviyL5s2bm59++skMGDCA3QwASFbp06e3P7Nly2aWLFli6tatyx4HACSKAhNLly613Q1Pnjzpm65Mvjp16piGDRv6jj8ITwQswlijRo3sI3v27KFuCgAgzBUqVMjMmDHDNGjQwFx55ZWhbg4AIAyCFRrtcNOmTSZPnjymadOmJl++fObo0aPm999/N4sXLza7du0yXbp0IWgRxghYAACAJHH33XezJwEASUKZFQpWVK9e3dxxxx2RghLKrPj8889tnSTN17hxY/Z6mKKGBQAAAADAU9kV6gaizIrAYIXob03X85qPmhbhiwyLMHfkyBHzxhtvhLoZCPK+ZMqRi/0CxBP/p3nzPaGwJgAgqUecUs0KdQOJrkaFpteqVct2DdH8JUuW5E0IQ2RYAAAAAAA84/Tp0/analbExH3enR/hhwyLMKe7Xo8++miom4EAyno5ee4C+wWIJ/5P8x6y+AAASU0jTokKbMbEfd6dH+GHDAsAAAAAgGdcffXVduhSjQYSXX0KTdfzmk/zIzwRsAAAAAAAeIbqU2iI7ClTpthHYNBCf2uUkOPHj5s6deowrGkYo0sIAAAAAMATDh8+bEaMGGG7HF6+fNlMmzbNHDx40BbYVM0KFXv+448/bLCibNmydohThC8CFgAAAACAkNKoIKNHjzavvvqq/d3VpUsXs3fvXjsaiEvdQDSCiIIV0Y0igvBAwAIAAAAAEBJnz5417777rnnppZfMoUOHzDXXXGMuXLhgHMexGRadO3c2ERERduhSjQaiApuqWUGgIm0gYAEAAAAACIkWLVqYpUuXmquuusqMGzfOfPDBB2bHjh2mSJEiJm/evCZDhv+7ZC1ZsiTvUBpE0U0AAAAAQEi0b9/e1qvYsmWL2bNnj1mxYoV57LHHzP79+0358uV5V9I4AhYAAAAAgJB4+OGHTb9+/czy5cvNiy++aGrUqGG7gahLCAELELAAAAAAAITMsWPHbHHNrFmzmunTp5utW7fa6QQsQMACAAAAABASyqS4//77ze7du82YMWPsUKWqYSEVKlTgXUnjKLoJAAAAAAiJSZMmmc8++8zWsrjvvvvstLvvvtvkyJHDVK1alXcljSNgAQAAAABIcZs3bzZ9+/Y1RYsWNePHj7fDl4qGLe3Tpw/vCOgSAgAAAABIWefPnzedOnUyZ86cMVOnTrVDmAKBqGEBAAAAAEhRgwYNMn/88YcZOHCgadiwIXsfQdElJIzly5cv1E0AAIQ5jjUAgPhasmSJGTVqlLnuuuvM0KFD2YGIFgGLMNa1a9dQNwEAEOY41gAA4uPw4cP22KGimhrCNGPGjOxARIuABQAAAAAgRYYw7dmzp9m7d6/58MMPTalSpdjriBE1LAAAAAAAye69994zX3zxhenYsaO555572OOIFQELAAAAAECyWr9+venfv78dsnTcuHG+IUyBmBCwAAAAAAAkm3PnztkhTPVz2rRpJnfu3OxtxAkBCwAAAABAstHQpatXrzaDBw829evXZ08jzghYAAAAAACSxVdffWVGjx5tAxXPPvssexnxQsACAAAAAJDkDh48aLp3725y5cplpk6dajJkYJBKxA+fGAAAAABAkg9heu+995oDBw6YGTNmmGuuuYY9jHgjwwIAAAAAkKTGjh1rFixYYLp27Wruvvtu9i4ShIAFAAAAACDJrFmzxjzxxBOmZMmSNnABJBQBCwAAAABAkjhz5ozp2LGjuXjxopk+fbrJmTMnexYJRg0LAAAAAECSUGbFunXrzIsvvmjq1KnDXkWikGEBAAAAAEi0uXPnmrfffts0bNjQPPXUU+xRJBoZFkCInD15wvw5byb734Pvi/DeePO9yZn5ilA3AwAABLFv3z5z3333mbx585opU6aY9OnTs5+QaAQsgBDIly8f+92juCD29nvDdwcAAO+5fPmy6datmzl8+LCZOXOmKVasWKibhDBBwAIIAQ3vBAAAAISD0aNHm0WLFpkePXqY9u3bh7o5CCPUsAAAAAAAJMjKlSvNwIEDTZkyZcwbb7zBXkSSImABAAAAAIi3U6dO2SFMRUOY5siRg72IJEXAAgD8bNy40Zw48X+FNwEAABC9/v37m02bNtkhTGvWrMmuQpIjYAEA/6NCURUqVDDVqlVjnwAAAMTg888/N+PHjzdNmjQxAwYMYF8hWRCwAID/ee2114zjOGbHjh1mxYoV7BcAAIAgdu/ebXr27Gny589vPvroI5MuHZeVSB58sgDgf9kVb731lm9fDBs2jP0CAAAQ4NKlS3bEu2PHjpkPPvjAXHnllewjJBsCFgDwv+wKFY6SokWLmvnz55NlAQAAEOCVV14x3333nendu7e57bbb2D9IVgQsAKR5bnaF6ldIuXLlTEREBFkWAAAAftRldtCgQaZ8+fLm1VdfZd8g2RGwAJDmudkVQ4YMsYGK3LlzmzvvvJMsCwAAgP85efKk6dSpk61XMWPGDJMtWzb2DZIdAQsAaZp/dkX79u1903X3gCwLAACA//PII4+YrVu3mlGjRpmqVauyW5AiCFgASNN27txpzpw5Y8cP969wXalSJVtQat26dSFtHwAAQKh98sknZvLkyaZFixY2cAGklAwptiYA8KCaNWua48ePm5w5c0Z5bsKECeb8+fMhaRcAAIBXbu488MADpmDBgjZooQxUIKUQsACQ5gULVtj/IDNksA8AAIC06OLFi6ZLly7mxIkTtrZXoUKFQt0kpDF0CQEAAAAARDFixAjz008/2W4gt9xyC3sIKY6ABQAAAAAgkp9//tkO8V65cmXz8ssvs3cQEgQsAAAAAAA+6gLSuXNnkzFjRjuEaZYsWdg7CAk6ZwMAAAAAfPr06WN27Nhh3n77bVOxYkX2DEKGDAsAAAAAgDV16lQzbdo0c+utt5revXuzVxBSBCwAAAAAAGb79u3moYceMoULFzYTJ05kCFOEHF1CAAAAACCNu3DhgunUqZM5efKkmTVrlilQoEComwSQYQEAAAAAad3zzz9vfvvtN/P444+bZs2ahbo5gEWXEAAAAABIw3744Qfz0ksvmerVq5sXX3wx1M0BfAhYAAAAAEAadezYMdOlSxc7dKmGMM2UKVOomwT4UMMCAAAAANIgx3HMAw88YHbt2mXef/99U7Zs2VA3CYiEDAsAAAAASIMmT55sZs6cae644w7To0ePUDcHiIKABQAAAACkMZs3bzZ9+/Y1V111lc2uiIiICHWTgCjoEgIAAAAAacj58+ftEKanT5828+bNM/ny5Qt1k4CgyLAAAAAAgDRk8ODB5o8//jBPP/20adSoUaibA0SLgAUAAAAApBFLliwxo0aNMrVr1zbDhg0LdXOAGBGwAAAAAIA04MiRI6Zr164me/bsZvr06SZjxoyhbhIQI2pYAAAAAEAaGMK0Z8+eZu/evXZ0kNKlS4e6SUCsyLAAAAAAgDA3fvx4M2fOHHP33XfbLAsgNSBgAQAAAABhbMOGDeaxxx4zV199tRk3bhxDmCLVIGABAAAAAGHq3LlzpmPHjvbn1KlTTZ48eULdJCDOCFgAAAAAQJgaOHCgWb16tRk0aJC54YYbQt0cIF4IWAAAAABAGPr666/N6NGjTb169cxzzz0X6uYA8UbAAgAAAADCzMGDB023bt1Mrly5bFeQDBkYIBKpD59aAPDTr18/0iUBAECq9+GHH5oDBw6Y6dOnmxIlSoS6OUCCELAAAD9KmwQAAEjtevToYWrVqmVuuummUDcFSDC6hAAAAABAmMmXLx/BCqR6BCwAAAAAAIDnELAAAAAAAACeQ8ACAAAAAAB4DgELAGnGmjVrzLvvvmvOnDnjm/brr7+aCRMmhLRdAAAg/Bw5csSed2zfvj1FX5ucgrXLq21FeGCUEAAp6s8//zTLly+3v2ts8KxZs0aZZ8GCBeaff/4xefPmNR06dEiydS9ZssQ89thjpm3btr71fvbZZ2bs2LGmZ8+exmvWrl1rH+nTpzfXXnutqVatWqibBABAkvvtt9/MypUrfX9nzJjRFClSxA4znitXrngt6+DBg+bzzz83LVq0MNdcc02yv1sxrW/Xrl2md+/eZubMmaZkyZLxWm5iXpvS2xTKtgbatm2b/TxdunTJVK1a1VSpUiWk7UHiEbAAkKIUjBg0aJD9XSchnTp1ivT86dOnTceOHc2///5rypYtm6QBi2Cuv/56c+7cOeMlP/zwg3nkkUdMunTpTIUKFczJkyfNokWLTKVKlcy0adNs8AIAgHAxe/Zs8/LLL9vjv84NTp06ZX788Udz+PBh8/bbb9sbHHGlu/y6eNYyUyJgEdP6rrjiCvPAAw+YUqVKmdQkvvvQC9upAIXaPGnSJNOkSROTI0cO06dPH9O4cWMzY8aMoDfIkDoQsAAQErronjx5cpSAxaxZs2zQokSJEinSjnbt2tmHl2TIkMHe2fC/S/H333+bGjVqmK5du5pffvklpO0DACA5PP/886Z06dL297Nnz9ohOXv06GHq16/vm56aFC1a1HaVCHde2M6RI0ea999/32bOuud1GzZsMLVq1bLZtaFuHxKOgAWAkNDdksGDB5vdu3fbA51LkfFbbrnFHDhwwBw/fjzoa/ft22eWLVtmMw90Ua+UUXWbCKR5tmzZYoMfDRo0CLos1bBQtwv/LiGrV6/2BQUiIiLs3Z7q1aubcuXKRXrt0qVLzY4dO+y2HDp0yCxevNjOr2h+wYIFI82rbfn4449NxYoVzY033hjjvqlXr16UadoGTVemBQAA4S5Lliz22KzjtI6vbsDi2LFjNhNRdRN0/qDju+Z1uwMoK0C+/vprs3//fvt73bp1I3WrVDDkp59+8nU/bdSokf3p2rt3r/nyyy9Nq1atzJVXXmm7lGqauhjofMAV2/rURnWTaN68ue8mhOpoffjhh75lZM6c2R7jFZRRV5iEimm/iM6HtB3KXPXfVrc9Wn/lypXjvA/9BdvOhO7rb7/91p5b3XHHHSZbtmy2bXrvmzZtGuP2qx6ZMlH9b0KVL1/eZu1MnDjRvPDCCzYTBKkPRTcBhITqSOTOndt89NFHvmk6QH3//ffm3nvvDfqay5cvm8cff9xcffXVtu6ETmDuuecem3mgA6Hrv//+M82aNbMHTjfN9NZbbw3a9UOR+IcffjjSNAUfVq1aZR9//PGHbaP6QN59993GcRzffFOmTDEDBgyw7bj55pvNvHnzzNChQ21K5M8//xxpmTrgK1VRXToSQicU69evt3cKAABIC3QxL+fPn7c/deFZrFgxM2TIEHvsdbshqPuIe9GuC3M3M9E9lusmiOubb76xAYIHH3zQXsC/+uqrpnjx4rbbgGvz5s32mK0LbZ1LjBs3zj6v842nnnrKN19s63NrO6h+l+vChQu++fT46quv7EW1Mk/dZcVXbPtFVNdBbdmzZ0+k1544ccJO176I6z4MFGw747uvdf6nYIa6AOkcT8t02xaX4ug7d+4M2iVF0y5evGiXj1TKSQJr167VGbz9CQAxGT58uP3/YsuWLU7v3r2dMmXK+J4bOnSoU6BAAef8+fNOnTp1nLJly0Z67fPPP+9EREQ4c+fO9U07efKkU7t2bTu/64EHHnCyZMni/Pnnn75pS5YscYoXL27XvW/fPt/0AQMGOJkzZ471TVu5cqWTIUMGZ+LEib5pPXr0cLJly+b07NnTtllOnz7tVKxY0albt26k1+/fv9+2a9q0aXH+gMyfP98ZN26c3WdVqlRxGjZs6Gzbti3OrwcAIDV46qmnfOcG/tq3b2+n//bbb86yZcucdOnSOX369HEuX75snz916pRz0003OXny5HEOHDhgp/3yyy/2NbNnz46ynvXr19vzg65du/qO2/LCCy84GTNmdNatW2f//u677+wyqlevHqlNgwcPtm3YtGmTb1pM69O5g56bOXNmjNt/5swZe96gbYnva+O6X6ZMmWKXt2bNmkiv1zmRpo8ePTrB2xRsWnz3daVKlZyNGzfaaWfPnnUOHjzonDhxwp47TZgwwYlN/vz5o5x7ySOPPGKXP3LkyFiXAW/GAsiwABAy3bt3t5F1ZSMoc0Fpf507dw6aEqno+GuvvWYzM1q3bu2brqJKzzzzjK/CuFIPtRzVxvBP21Q3jfhUitbdHEXjVWfjvffesymp+fPnt+mW/lRvQ1kfbptV1El3SjS/nnMVKlTI9p8MrNkRE6Vlapu0bcogUSpjpkyZ4vx6AABSE91517Hy9ddfNy1btrRZkP369TPXXXedeeedd2zGxYsvvmi7X4q6DKh2gbpdKusxNm+88YY9nxgzZkykc40nn3zSZM+e3WYq+FM3Bf/aGffdd5/N9kyKu/XKmlRX0fHjx9tzDXUl1fmQikfGR1Lsl+QQ332tTFUVWxdtT4ECBWyXXH0eVMckNrfddpsdhU7del3K0Pjkk0982bdInahhASBkdAKiUTB0oFZ3DaUeRtcdRIENHXgU2FBqoNs1Qz/d9EYd/FWwUkGLYP0sFcBQt43YfPfddzbooOCA+mzmyZPHjtihA29gSqQOqmXKlIk0TX0wRfU5Ap+Lj759+/p+1zZqRBP14fzrr78IXAAAwo6KJOp4p2O56lOpCGft2rXtc2vWrLHBA3UnDTy26xit52OzYsUKG/xXvQX3HMJ96AaIziP8Bd7o8D++J5SCCKrPoJsRqml11VVX2Qt6DSWqcyE9rxskcZUU+yU5xHdfJ3bodnX/1TpVqFVdYhQUUZdedSPWuZvWidSJgAWAkFLBypdeesn2mdTBNbosCLf/qoY4+/3336M8r4OTht5SUEGCZWnEJTtBd066dOliCzWpH6h/MU8FO/xrWIgOgO4dDZe7brfNSUEnNOoD+uyzz9o+ogqkAAAQrqOEBFLmgX8RSZeO03rEJTNBx2Udx4OdRyibIvAmQ86cOZP8+K7ijyrsrQxK/2LeTz/9tM3ODDzPiE1c94t7PqPzHH+6yZMc4ruvE1sQUxkZWpdGm9NP1Qp55ZVX7I0lZevovA6pEwELACGlopnq0qG0T6UNRkdFk3SioKBGTPMpC0N3FJSREWjjxo2xtkfVqvV44oknIgUrdOdDo5OoAnWo6I6TuEEZAADSCgUyNDqXLkT9b0ps3brVTnMDHYE3EfwpQKAsShXRjGm++IjvcnQxrRHDAkce8+/KkBz7pUiRIr7C4v42bdoUZZlJsW+SY1/HRsEJdb31737bv39/27VEXYOROlHDAkBI6QCqfpfKkIipvoPucijzQd1HggUjlEaqC3mlRGpYVKUBKhvDpe4mqlYdG9WaUCaGludv2LBhtk9oQinFU/0w/St2R2fdunVRpp06dcpuk9rnpscCAJBWqMaVjqWq+eBPtRoU0FdXTnGHFT969GiUZWjECU3XaBWBNFS6RiuLr5jWF4xG81BdKv86VxqNxB1OPbn2i264KBNj/vz5vnmUfRFsBI74blMwSbGvNUKazp2U8RobDa2q/eBP3WFUh+y5556jS0gqRoYFgJDzHyIsJm+99Zbth6gsCwUvVJxJByjdrVBWhH7q4KwhsTT+uC7s1eVEdxhUIEtBEaVixkR3J9TtQgEKBUB0h0Bjgmvs9WDDZcWVO6yp2qA+qzHRsGS6A6KaFYULF7b9eVWYS+1RqqM7zBsAAGnFnXfeaR566CFb30m1CpSloOOzLmZVeNLtYqCaBepeqpoG6m6qWgbqRqkaCU2aNLHnCI899phZtGiRPVfQeYMyMJUNoIt+dS+Nj5jWF4yKTmrIddVa0DZpOE51BdF2xXaOkpj9oi4XyjZQIEPBEm2n9oEKiSrLNTHbFExS7Gt3WNMOHTrYGl4xUTtVlF3FO3W+pvVMnTrV7hsVR0fqRcACQIqqWbOmvWgPLA4VSAWp/O8+iA6YujOwbNkyezBWdF4FsHTwV6qfm3KoMb5VmFIZCRpLXAfEuXPn2nHEFQjwz5RQUEBFrvwNHjzY1K9f344ZriwNHeCbNWtmszyUVujSeOEqyBlIJwfaxnz58vmm5c2b107TATs2OnFQW7WN27dvt3cFNEKKDsSJyfIAAMCLdDEcl3MDXQCrK+lXX31ldu3aZY/DupnhX/dC3UJ1gayLVWVX6qZFiRIlfM/rArZNmzY2aKDRuHRc1cW1luPWrNC5hdqj84lAmu5fRyqm9SlIoPn9b3hUrlzZZnFOnz7d3pDQ3yNGjLBBC52jaLSx6F6bmP0iymhVwXN1IdE5ll7nbqt/DbH4blN0bU3svtb8ei4umaXaVmWpaKQZZeJqedqnKu6O1C1CY5smdiFKX1aa0dq1a21UDwAAAAAAhLd1yRwLoIYFAAAAAADwHAIWAAAAAADAcwhYAAAAAAAAzyFgAQAAAAAAPIeABQAAAAAA8BwCFgAAAAAAwHMIWAAAAAAAAM8hYAEAAAAAADyHgAUAAAAAAPAcAhYAAAAAAMBzCFgAAAAAAADPIWABAAAAAAA8h4AFAAAAAADwHAIWAAAAAADAcwhYAAAAAAAAzyFgAQAAAAAAPIeABQAAAAAA8BwCFgAAAAAAwHMIWAAAAAAAAM8hYAEAAAAAADyHgAUAAAAAAPAcAhYAAAAAAMBzCFgAAAAAAADPIWABAAAAAAA8h4AFAAAAAADwHAIWAAAAAADAcwhYAAAAAAAAzyFgAQAAAAAAPIeABQAAAAAA8BwCFgAAAAAAwHMIWAAAAAAAAM8hYAEAAAAAADyHgAUAAAAAAPAcAhYAAAAAAMBzCFgAAAAAAADPIWABAAAAAAA8h4AFAAAAAADwHAIWAAAAAADAcwhYAAAAAAAAzyFgAQAAAAAAPIeABQAAAAAA8BwCFgAAAAAAwHMIWAAAAAAAAM8hYAEAAAAAADyHgAUAAAAAAPAcAhYAAM85e/asOXz4sHEcJ9RNAQAAQIgQsAACnDlzxl4oXbp0Kdp9o4uof//911y+fDnW5biP48ePxzh/SovLNvg7d+6cuXjxovFq+9wLXLXTC/T5UXuOHj2arOvR58wrkrIt7777rilQoIA5cOBAki0TAAAAqQsBCyDAa6+9Zi+U1qxZE2XfzJs3z9x0000ma9aspmjRoiZLliymfv365tNPP412Oddee60pV66cnT9HjhymZcuWZu3atSHb7/HZhoMHD5rhw4fb9l9xxRUmW7ZspnTp0mbUqFHmwoULIW+fLpA/+eQT065dO9s+7e+ZM2caL3jsscdse0qWLJnky/7jjz/M/fffb6666iqTP39++7lq1KiR+eGHH5J8XampLQAAAAgvBCyAOHrmmWfMbbfdZurVq2d2795t7/7rgr5169amU6dO5qGHHgr6uu+++87eaf/vv//MsmXLzIYNG+wFnaZ5fRvmzp1rAwcLFiyw8548edI8+uij5umnnzZ9+vQJefuWL19uPv/8c/vc+++/b7xi8eLFNkNAAZfk0K1bN/PXX3+Zzz77zJw+fdr8888/plixYjbQo/cqJXmpLQAAAAgzThJYu3atOhnbn0BqN3z4cPt5XrlypW/arFmz7LQhQ4YEfc3o0aPt85MmTYpxOTJu3Dg7ffz48U5KSsg2RKdRo0ZO1qxZPdW+2bNn2+enTJnihNKxY8ecokWLOk8++aTTpEkTJ3fu3Em+jldeecW5cOFCpGnnz5938ubN6zRo0CDJ15dSbTl58mSU93vfvn2+aadPn3YOHTpkH4cPH3bOnj0bdBl6Lhi1U68NfN3ly5edU6dOxautAAAAcJI9FkCGBRAHL730ksmTJ4956qmngj7/8MMPmyuvvNLOF5urr77a/ty/f3+s86oeg38djJgesXXRSMptULvy5ctnklJSti+uknL/upR5oqyUYcOGmeTy+OOPmwwZMkSaljFjRlOwYEGbmZKS253YtoiyUYoUKWLy5s1rChcubP8OZtKkSbZ7kh7qaqUuSpUqVbLdglwffvih7R70+++/R3n96NGjbTedbdu22b9Xr15tmjZtat+vQoUK2Tb079/fHDt2LE7tBgAAQPIiYAHEQhcvf/75p7nxxhvthU0wumBTCvyWLVvMrl27Ylye0uelVKlSse571WPQBVZcHkuWLEm2bVDXDF28bty40QwcONAuSxd/Xt3HcZVU+9d/eTNmzLDdU1R7IyWp5sqmTZtM5cqVU3y7E9OWiRMnmt69e9uA1IkTJ+z7u3nzZlvLJJC6BLmBFBUz1fx33nmn6dy5s/nll1/sPF27djU5c+Y077zzTpQiru+9956pW7euqVChgi3mqnoyqrmxZ88e291J7VZA8ccff4z3NgMAACDpRb4tBiAKXczoYie2egTqty+6mHZ/F40OogssFYjUhdDIkSNNlSpVzB133BHr3tZFrwoZxkWmTJmSbRt69epl6zIosKC758pyaN++fYzLOn/+vA10+FNWRrp06ZK8fQmVVPtX9u3bZy+8VYCyYcOG8WpHfPZVdBkTPXr0MOnTp7d1QFJyuxPTFr3nQ4YMsTVdnn322UgFa2MLdqgmjNaljJYJEybYQNH1119vgxVdunQxkydPtstR1oZ8/fXXNrNC9VdEtTb0nrVt29a3L5SZ0a9fv3htLwAAAJIPAQsgFrrwktiG13SHQQ28wLv99tvtMtwLLF2Iff/993G6A6+gQGyBgZTYBjflXkOHTpkyxV4kaqQTpehH58svv7R3v/3p7rlGGUnq9iVUUu1f0UW63lONoBJf8dlXgbTPunfvblasWGFeeeUVc91116XodiemLQogKFjVt2/fSNMjIiJMixYtzLp16yJNP3LkiA04zJ4922Z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     }
    }
   ],
   "metadata": {
    "tags": []
   },
   "source": [
    "delivery_times = pd.DataFrame({'days': [1, 2, 2, 3, 3, 4, 4, 5, 9]})\n",
    "fig, ax = plt.subplots(figsize=(9, 4))\n",
    "sns.boxplot(data=delivery_times, x='days', whis=1.5, width=0.3,\n",
    "            color='lightblue', ax=ax)\n",
    "# Annotate known positions for this small teaching dataset.\n",
    "labels = [\n",
    "    ('Lower whisker: 1', (1, 0), (1, -0.55)),\n",
    "    ('Q1: 2', (2, -0.15), (2, -0.32)),\n",
    "    ('Median: 3', (3, 0.15), (3, 0.42)),\n",
    "    ('Q3: 4', (4, -0.15), (4, -0.32)),\n",
    "    ('Upper whisker: 5', (5, 0), (5.6, -0.55)),\n",
    "    ('Potential outlier: 9', (9, 0), (8.4, 0.42))\n",
    "]\n",
    "for label, point, position in labels:\n",
    "    ax.annotate(label, xy=point, xytext=position, ha='center',\n",
    "                arrowprops={'arrowstyle': '->', 'color': 'black'})\n",
    "ax.text(3, 0.7, 'IQR = Q3 - Q1 = 4 - 2 = 2 days', ha='center')\n",
    "ax.set_ylim(0.9, -0.8)\n",
    "ax.set_xlim(0, 10)\n",
    "ax.set_xlabel('Delivery time (days)')\n",
    "ax.set_yticks([])\n",
    "ax.set_title('Reading a Delivery-Time Box Plot')\n",
    "plt.tight_layout()\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "id": "box-reading-question",
   "execution_count": null,
   "outputs": [],
   "metadata": {
    "tags": [
     "thebe-interactive"
    ]
   },
   "source": [
    "### Exercise: Typical Speed and Consistency\n",
    "# Practice path: Core classroom practice.\n",
    "# A manager compares two shipping methods in this small sample.\n",
    "shipping = pd.DataFrame({\n",
    "    'method': ['Express'] * 9 + ['Standard'] * 9,\n",
    "    'days': [1, 1, 1, 2, 2, 3, 5, 6, 7,\n",
    "             3, 3, 3, 4, 4, 4, 4, 5, 5]\n",
    "})\n",
    "# 1. Draw a box plot comparing delivery days by method.\n",
    "# 2. Compute each method's median and IQR, and print both values.\n",
    "# 3. In comments, identify the faster typical method and the more consistent\n",
    "#    method using the spread of the middle 50% of deliveries.\n",
    "# 4. Explain why those answers can differ and why the chart does not show sample size.\n",
    "### Your code starts here.\n",
    "\n",
    "\n",
    "\n",
    "### Your code ends here.\n"
   ]
  },
  {
   "cell_type": "code",
   "id": "box-reading-solution",
   "execution_count": 1,
   "outputs": [
    {
     "output_type": "display_data",
     "metadata": {},
     "data": {
      "image/png": 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"
     }
    },
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "          median_days  iqr_days\n",
      "method                         \n",
      "Express           2.0       4.0\n",
      "Standard          4.0       1.0\n"
     ]
    }
   ],
   "metadata": {
    "tags": [
     "hide-input"
    ]
   },
   "source": [
    "### Solution\n",
    "shipping = pd.DataFrame({\n",
    "    'method': ['Express'] * 9 + ['Standard'] * 9,\n",
    "    'days': [1, 1, 1, 2, 2, 3, 5, 6, 7,\n",
    "             3, 3, 3, 4, 4, 4, 4, 5, 5]\n",
    "})\n",
    "fig, ax = plt.subplots(figsize=(5, 3))\n",
    "sns.boxplot(data=shipping, x='method', y='days', ax=ax)\n",
    "ax.set_xlabel('Shipping method')\n",
    "ax.set_ylabel('Delivery time (days)')\n",
    "ax.set_title('Typical Speed and Consistency')\n",
    "plt.tight_layout()\n",
    "plt.show()\n",
    "by_method = shipping.groupby('method')['days']\n",
    "summary = pd.DataFrame({\n",
    "    'median_days': by_method.median(),\n",
    "    'iqr_days': by_method.quantile(0.75) - by_method.quantile(0.25)\n",
    "})\n",
    "print(summary)\n",
    "# Express is typically faster: its median is 2 days, versus 4 for Standard.\n",
    "# Standard has a smaller middle-half spread: IQR 1 day, versus 4 for Express.\n",
    "# Typical speed and variability describe different aspects of a distribution.\n",
    "# Box width here is fixed; it does not encode the number of deliveries.\n",
    "# Both methods have nine deliveries in this example; check counts separately.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "ca63fa5b",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 605.875x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "with sns.axes_style(style='ticks'):\n",
    "    # g = sns.catplot(data=tips, x='day', y='total_bill', kind='box')\n",
    "    g = sns.catplot(data=tips, x='day', y='total_bill', hue='sex', kind='box')\n",
    "    g.set_axis_labels('Day', 'Total Bill')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "7a74af75",
   "metadata": {
    "tags": [
     "thebe-interactive"
    ]
   },
   "outputs": [],
   "source": [
    "### Exercise: Box Plot by Day and Sex\n",
    "# Practice path: Additional practice.\n",
    "# The manager wants to know whether men and women spend differently on each day.\n",
    "#   1. Use sns.catplot() to draw box plots of total_bill by day from tips,\n",
    "#      with a separate box for each sex on every day.\n",
    "#   2. Set the axis labels to 'Day' and 'Total Bill'.\n",
    "#   3. In a comment, answer: on which day are men's and women's bills most alike?\n",
    "# Also explain one limitation: Do similar medians mean that the two groups have identical bill distributions?\n",
    "### Your code starts here.\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "### Your code ends here.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "9dd863c2",
   "metadata": {
    "tags": [
     "hide-input"
    ]
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.FacetGrid at 0x11739e0d0>"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 605.875x400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "### Solution\n",
    "g = sns.catplot(x='day', y='total_bill', hue='sex', data=tips, kind='box', height=4, aspect=1.25)\n",
    "g.set_axis_labels('Day', 'Total Bill')\n",
    "# Answer: Saturday: the two median lines are almost level (about $18 each).\n",
    "# On Thursday and Sunday, men's median bill is about $3 higher.\n",
    "# Limitation: Similar medians can coexist with different spreads, tails, and sample sizes.\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2cc18122",
   "metadata": {},
   "source": [
    "### Bar Plot\n",
    "\n",
    "`barplot` shows an **estimator** (mean by default) with an error bar. With `errorbar='sd'`, the line on each bar spans one standard deviation below and above the mean.\n",
    "Also, here we explore different plotting techniques:\n",
    "\n",
    "- Saving axes: Instead of using `subplots()`, we save the plot, which is an axes, and then control the styling directly. \n",
    "- The `with` statement: The `with` statement (the \"context manager\" that handles resources) temporarily applies a style only for the plots created inside its block. Once the block ends, Seaborn returns to the previous style — nothing is permanently changed. \n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "means-hide-variation",
   "metadata": {},
   "source": [
    "**What a mean chart hides**\n",
    "\n",
    "Two shipping methods can have the same average delivery time but different levels of consistency. In the small dataset below, one row is one delivery, and both methods average three days. Method A always takes three days; Method B ranges from one to five days.\n",
    "\n",
    "The left panel shows every delivery. The sideways offsets keep overlapping points visible; they do not represent another variable. The right panel shows only the group means. Equal bars hide the variation within each method and how many deliveries were recorded.\n",
    "\n",
    "The bars use `errorbar=None` to isolate the mean. Adding `errorbar='sd'` would summarize variability with one standard deviation above and below the mean, but would still hide individual observations. A confidence interval answers a different question: how uncertain is the estimated population mean? It is not a range containing all deliveries. Chapter 11 develops confidence intervals.\n"
   ]
  },
  {
   "cell_type": "code",
   "id": "means-versus-observations",
   "metadata": {
    "tags": []
   },
   "execution_count": null,
   "outputs": [],
   "source": [
    "deliveries_demo = pd.DataFrame({\n",
    "    'method': ['A'] * 5 + ['B'] * 5,\n",
    "    'days': [3, 3, 3, 3, 3, 1, 2, 3, 4, 5]\n",
    "})\n",
    "fig, axes = plt.subplots(1, 2, figsize=(8, 3), sharey=True)\n",
    "sns.stripplot(data=deliveries_demo, x='method', y='days',\n",
    "              jitter=0.12, ax=axes[0])\n",
    "axes[0].set_title('Individual Deliveries')\n",
    "sns.barplot(data=deliveries_demo, x='method', y='days',\n",
    "            errorbar=None, ax=axes[1])\n",
    "axes[1].set_title('Mean Delivery Time')\n",
    "for ax in axes:\n",
    "    ax.set_xlabel('Shipping method')\n",
    "    ax.set_ylabel('Delivery time (days)')\n",
    "    ax.set_ylim(0, 6)\n",
    "plt.tight_layout()\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "id": "delivery-reliability-question",
   "metadata": {
    "tags": [
     "thebe-interactive"
    ]
   },
   "execution_count": null,
   "outputs": [],
   "source": [
    "### Exercise: Equal Means, Different Reliability\n",
    "# Practice path: Core classroom practice.\n",
    "# A manager is choosing a method for deliveries promised within four days.\n",
    "# Use deliveries_demo from the example above.\n",
    "# 1. Count the deliveries taking more than four days for each method.\n",
    "# 2. Print the counts so you can compare the methods.\n",
    "# 3. In comments, explain which method met the promise more consistently in this sample.\n",
    "# 4. Explain why the mean bars alone cannot answer the manager's question,\n",
    "#    and why this small sample cannot guarantee future delivery performance.\n",
    "### Your code starts here.\n",
    "\n",
    "\n",
    "\n",
    "### Your code ends here.\n"
   ]
  },
  {
   "cell_type": "code",
   "id": "delivery-reliability-solution",
   "metadata": {
    "tags": [
     "hide-input"
    ]
   },
   "execution_count": null,
   "outputs": [],
   "source": [
    "### Solution\n",
    "late_counts = deliveries_demo.assign(late=deliveries_demo['days'] > 4)\n",
    "late_counts = late_counts.groupby('method')['late'].sum()\n",
    "print(late_counts)\n",
    "# Finding: A has zero deliveries over four days; B has one.\n",
    "# A met the promise more consistently in this sample, even though both means are 3 days.\n",
    "# Mean bars hide individual values and the number of deliveries above the deadline.\n",
    "# Limitation: Five deliveries per method provide limited evidence about future performance.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "40066c01",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "with sns.axes_style(style='dark'):\n",
    "    g = sns.barplot(data=tips, x='day', y='total_bill', errorbar='sd')\n",
    "    g.set_xlabel('Day')\n",
    "    g.set_ylabel('Total Bill')\n",
    "    g.set_title('Average Total Bill by Day (± 1 SD)')\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "98b527fb",
   "metadata": {},
   "source": [
    "Set `hue` and see the magic seaborn does."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "bf45ae6a",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 605.875x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "with sns.axes_style(style='dark'):\n",
    "    g = sns.catplot(data=tips, x='day', y='total_bill', hue='sex', kind='bar', errorbar='sd')\n",
    "    g.set_axis_labels('Day', 'Total Bill')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "8b1ed539",
   "metadata": {
    "tags": [
     "thebe-interactive"
    ]
   },
   "outputs": [],
   "source": [
    "### Exercise: Mean Total Bill by Day\n",
    "# Practice path: Additional practice.\n",
    "# The manager wants to compare the average bill on each day.\n",
    "#   1. Use sns.catplot() to draw a bar chart of the mean total_bill for each day,\n",
    "#      with error bars showing one standard deviation.\n",
    "#   2. Set the axis labels to 'Day' and 'Total Bill'.\n",
    "#   3. In a comment, answer: which days have the highest average bills, and is\n",
    "#      every bill on those days higher than on other days?\n",
    "#   4. Use the original bill values to check the claim about every bill.\n",
    "#      Show a counterexample if the claim is false.\n",
    "# Also explain one limitation: Can the mean bars alone tell you the median or identify individual unusually large bills?\n",
    "### Your code starts here.\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "### Your code ends here.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "341e8670",
   "metadata": {
    "tags": [
     "hide-input"
    ]
   },
   "outputs": [
    {
     "output_type": "display_data",
     "metadata": {},
     "data": {
      "image/png": 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"
     }
    },
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "Largest Thursday/Friday bill: $43.11\n",
      "Smallest Saturday/Sunday bill: $3.07\n"
     ]
    }
   ],
   "source": [
    "### Solution\n",
    "g = sns.catplot(x='day', y='total_bill', data=tips, kind='bar', errorbar='sd')\n",
    "g.set_axis_labels('Day', 'Total Bill')\n",
    "plt.show()\n",
    "# Check individual observations rather than treating overlapping error bars as proof.\n",
    "weekday_max = tips.loc[tips['day'].isin(['Thur', 'Fri']), 'total_bill'].max()\n",
    "weekend_min = tips.loc[tips['day'].isin(['Sat', 'Sun']), 'total_bill'].min()\n",
    "print(f'Largest Thursday/Friday bill: ${weekday_max:.2f}')\n",
    "print(f'Smallest Saturday/Sunday bill: ${weekend_min:.2f}')\n",
    "# Answer: Saturday and Sunday average about $21, against about $17-18 on Thursday and Friday.\n",
    "# The bars compare means, and the standard-deviation bars summarize variability.\n",
    "# Their overlap alone does not determine how many individual bills cross groups.\n",
    "# The calculated example shows at least one Thursday/Friday bill exceeding a\n",
    "# Saturday/Sunday bill, so higher weekend means do not mean every weekend bill is higher.\n",
    "# Limitation: Means and standard deviations do not display individual observations or determine the median.\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "91861991",
   "metadata": {},
   "source": [
    "### Count Plot (`kind='count'`)\n",
    "\n",
    "Count plots show category frequencies. This is different from histograms, which bin continuous numeric values.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "id": "08451e72",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "            method  number  orbital_period   mass  distance  year\n",
      "0  Radial Velocity       1         269.300   7.10     77.40  2006\n",
      "1  Radial Velocity       1         874.774   2.21     56.95  2008\n",
      "2  Radial Velocity       1         763.000   2.60     19.84  2011\n",
      "3  Radial Velocity       1         326.030  19.40    110.62  2007\n",
      "4  Radial Velocity       1         516.220  10.50    119.47  2009\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(planets.head())\n",
    "\n",
    "with sns.axes_style('white'):\n",
    "    g = sns.countplot(\n",
    "        data=planets, \n",
    "        x='year', \n",
    "        color='steelblue'\n",
    "        )\n",
    "    ticks = g.get_xticks()\n",
    "    labels = [t.get_text() for t in g.get_xticklabels()]   # get labels before changing ticks\n",
    "\n",
    "    g.set_xticks(ticks[::5])                    # set every 5th tick position\n",
    "    g.set_xticklabels(labels[::5], rotation=45) # set every 5th label\n",
    "\n",
    "### with figure level catplot:\n",
    "# with sns.axes_style('white'):       ### with for temporary style\n",
    "#     g = sns.catplot(\n",
    "#         data=planets,\n",
    "#         x='year',\n",
    "#         aspect=2,           ### aspect ratio (width/height);\n",
    "#         kind='count',\n",
    "#         color='steelblue',\n",
    "#         height=3\n",
    "#     )\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "8b49cb53",
   "metadata": {
    "tags": [
     "thebe-interactive"
    ]
   },
   "outputs": [],
   "source": [
    "### Exercise: Count Planets Discoveries by Year\n",
    "# Practice path: Additional practice.\n",
    "# A science magazine wants a chart showing how planet discoveries took off over time.\n",
    "#   1. Use the figure-level sns.catplot() (not countplot as above) to count\n",
    "#      discoveries per year in planets. Make the chart 3 inches tall and twice as\n",
    "#      wide as it is tall, with every bar 'steelblue'.\n",
    "#   2. Label only every 5th year on the x-axis so the labels stay readable.\n",
    "#   3. In a comment, answer: when did discoveries take off?\n",
    "# Also explain one limitation: Can discovery counts tell you how many planets actually existed in each year?\n",
    "### Your code starts here.\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "### Your code ends here.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "7af499cc",
   "metadata": {
    "tags": [
     "hide-input"
    ]
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.FacetGrid at 0x116f7c910>"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 612.222x300 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "### Solution\n",
    "g = sns.catplot(\n",
    "    x='year',\n",
    "    data=planets,\n",
    "    kind='count',\n",
    "    height=3,\n",
    "    aspect=2,\n",
    "    color='steelblue'\n",
    ")\n",
    "g.set_xticklabels(step=5)\n",
    "# Answer: Very few planets were found before 2000 (32 in all). Discoveries climbed\n",
    "# through the 2000s and peaked in 2011 (185); 597 of the 1,035 came in 2010 or later.\n",
    "# Limitation: Counts describe recorded discoveries; changes in instruments and search effort can affect those counts.\n"
   ]
  },
  {
   "cell_type": "code",
   "id": "chart-selection-question",
   "execution_count": null,
   "metadata": {
    "tags": [
     "thebe-interactive"
    ]
   },
   "outputs": [],
   "source": [
    "### Exercise: Choose a Chart for the Manager\n",
    "# Practice path: Core classroom practice.\n",
    "# In comments, choose a chart for each question and explain your choice.\n",
    "# 1. How many restaurant bills were recorded at lunch and at dinner?\n",
    "# 2. How does bill amount relate to tip amount?\n",
    "# 3. How do typical bill amounts and their variability differ between lunch and dinner?\n",
    "# For Question 3, draw the chart you chose using tips and label the axes clearly.\n",
    "# Then describe one finding and one limitation. No plotting function is prescribed.\n",
    "### Your code starts here.\n",
    "\n",
    "\n",
    "\n",
    "### Your code ends here.\n"
   ]
  },
  {
   "cell_type": "code",
   "id": "chart-selection-solution",
   "execution_count": null,
   "metadata": {
    "tags": [
     "hide-input"
    ]
   },
   "outputs": [],
   "source": [
    "### Solution\n",
    "# 1. Count plot: one row is one bill, and time identifies the meal group.\n",
    "# 2. Scatter plot: total_bill and tip are numerical amounts for each bill.\n",
    "# 3. Box plot: compare the median and spread of total_bill within each time group.\n",
    "fig, ax = plt.subplots(figsize=(5, 3))\n",
    "sns.boxplot(data=tips, x='time', y='total_bill', ax=ax)\n",
    "ax.set_xlabel('Meal time')\n",
    "ax.set_ylabel('Total bill ($)')\n",
    "ax.set_title('Bill Amounts by Meal Time')\n",
    "plt.tight_layout()\n",
    "plt.show()\n",
    "# Finding: Dinner has a higher median bill and a wider middle 50% of bill amounts.\n",
    "# Limitation: This comparison does not establish that meal time causes higher bills;\n",
    "# party size and other factors may differ between lunch and dinner.\n"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": ".venv",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
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   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
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