{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "ch06-controls-title",
   "metadata": {},
   "source": [
    "# Styling and Plot Types"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "ch06-shared-setup",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-08-31T18:39:31.373944Z",
     "iopub.status.busy": "2026-08-31T18:39:31.373643Z",
     "iopub.status.idle": "2026-08-31T18:39:32.061188Z",
     "shell.execute_reply": "2026-08-31T18:39:32.060938Z"
    },
    "tags": [
     "hide-input",
     "thebe-init",
     "runnable"
    ]
   },
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "cff81795",
   "metadata": {},
   "source": [
    "```{contents}\n",
    ":local:\n",
    ":depth: 2\n",
    "```\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6f5534cc",
   "metadata": {},
   "source": [
    "```{index} styling charts\n",
    "```\n",
    "## Styling in Practice"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f9a1103e",
   "metadata": {},
   "source": [
    "This section turns a default chart into one a manager can read. Three levels decide how every chart looks, and each level overrides the one above it:\n",
    "\n",
    "| Level | What it is | Applies to | Example |\n",
    "|---|---|---|---|\n",
    "| 1. `rcParams` | Matplotlib's built-in defaults for every part of a chart | Every chart drawn after you change it | `plt.rcParams['font.size'] = 13` (the default is 10) |\n",
    "| 2. Style sheet | A named bundle of `rcParams` values | Every chart drawn after you switch | `plt.style.use('ggplot')` |\n",
    "| 3. Arguments | A setting passed in one plotting call | Only that element | `ax.plot(x, y, lw=2)` |\n",
    "\n",
    "For example, lines are 1.5 points wide by default (`rcParams`). A style sheet can change that for every line, and `ax.plot(x, y, lw=2)` makes just that one line 2 points wide, whatever the other two levels say. Set the look of a whole report at the first two levels, then use arguments for the elements that need to stand out.\n",
    "\n",
    "The first two sections cover the two report-wide levels; the rest of this section covers the arguments you use most: legends, axis ranges, colors, and line styles."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e7da64e8",
   "metadata": {},
   "source": [
    "```{index} rcParams\n",
    "```\n",
    "### `rcParams`"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f275f34e",
   "metadata": {},
   "source": [
    "Every part of a chart has a default setting: the font size, line width, colors, grid lines, figure size, and many more. Matplotlib keeps all of these defaults in `plt.rcParams` and looks one up whenever you don't choose a value yourself. The name comes from *runtime configuration* (\"rc\"): Matplotlib loads the defaults from a settings file called `matplotlibrc` when it starts, and you can change them while your program runs.\n",
    "\n",
    "This is handy when a report has many charts. Set the font size and grid once in `rcParams` instead of repeating `fontsize=` in every call, and every chart matches.\n",
    "\n",
    "Each setting has a name, and you can look up its current value:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "d0abc37a",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "10.0\n",
      "False\n",
      "339 settings in total\n"
     ]
    }
   ],
   "source": [
    "print(plt.rcParams['font.size'])      ### the default font size, in points\n",
    "print(plt.rcParams['axes.grid'])      ### are grid lines on by default?\n",
    "print(len(plt.rcParams), 'settings in total')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1c768724",
   "metadata": {},
   "source": [
    "The default font size is 10 points. Setting `plt.rcParams['font.size'] = 13` changes it for every chart drawn afterward. To try settings on one chart only, use `plt.rc_context()`, as in the next cell; the rest of the notebook keeps its defaults."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "3b7224ad",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-08-31T18:39:32.151768Z",
     "iopub.status.busy": "2026-08-31T18:39:32.151675Z",
     "iopub.status.idle": "2026-08-31T18:39:32.153284Z",
     "shell.execute_reply": "2026-08-31T18:39:32.153049Z"
    }
   },
   "outputs": [
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 400x250 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "regions = ['North', 'South', 'East', 'West']\n",
    "sales = [150, 120, 180, 90]\n",
    "\n",
    "### plt.rcParams['font.size'] = 13 would change every later chart;\n",
    "### plt.rc_context() changes it only inside this block\n",
    "with plt.rc_context({'font.size': 13, 'axes.grid': True}):\n",
    "    fig, ax = plt.subplots(figsize=(4, 2.5))\n",
    "    ax.bar(regions, sales)\n",
    "    ax.set_title('Sales by Region ($K)')\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "24152e82",
   "metadata": {},
   "source": [
    "**Going deeper: exploring `rcParams`.** You don't need to memorize these settings; you need to know how to find them. Each name has two parts: the part of the chart it belongs to, then the setting. `font.size` is the size setting in the `font` group, and `axes.grid` turns grid lines on or off for every axes. Listing the groups shows how much you can control:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "345c6eb6",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "339 settings in 45 groups:\n",
      "['_internal', 'agg', 'animation', 'axes', 'axes3d', 'backend', 'backend_fallback', 'boxplot', 'contour', 'date', 'docstring', 'errorbar', 'figure', 'font', 'grid', 'hatch', 'hist', 'image', 'interactive', 'keymap', 'legend', 'lines', 'macosx', 'markers', 'mathtext', 'patch', 'path', 'pcolor', 'pcolormesh', 'pdf', 'pgf', 'polaraxes', 'ps', 'savefig', 'scatter', 'svg', 'text', 'timezone', 'tk', 'toolbar', 'webagg', 'xaxis', 'xtick', 'yaxis', 'ytick']\n"
     ]
    }
   ],
   "source": [
    "groups = sorted({name.split('.')[0] for name in plt.rcParams})   ### the part before the first dot\n",
    "print(len(plt.rcParams), 'settings in', len(groups), 'groups:')\n",
    "print(groups)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e66ff580",
   "metadata": {},
   "source": [
    "To find the settings for one topic, search the names with `find_all()`. For example, the four lines that frame a chart's plotting area are called **spines**:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "a5f66221",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "RcParams({'axes.spines.bottom': True,\n",
       "          'axes.spines.left': True,\n",
       "          'axes.spines.right': True,\n",
       "          'axes.spines.top': True})"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "plt.rcParams.find_all('spines')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d4c7777e",
   "metadata": {},
   "source": [
    "Once you know a name, you can use it. Many business charts drop the top and right spines and add a light grid, so the reader's eye goes to the data. Instead of fixing each chart by hand, set it once:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "5723acd0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 400x250 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "regions = ['North', 'South', 'East', 'West']\n",
    "sales = [150, 120, 180, 90]\n",
    "\n",
    "with plt.rc_context({'axes.spines.top': False, 'axes.spines.right': False,\n",
    "                     'axes.grid': True, 'grid.alpha': 0.3,\n",
    "                     'axes.axisbelow': True}):      ### grid behind the bars\n",
    "    fig, ax = plt.subplots(figsize=(4, 2.5))\n",
    "    ax.bar(regions, sales)\n",
    "    ax.set_title('Sales by Region ($K)')\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a42343c0",
   "metadata": {},
   "source": [
    "To see whether a setting has been changed, compare its current value with Matplotlib's built-in default:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "02892d5e",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "built-in default: 10.0 | current: 10.0\n"
     ]
    }
   ],
   "source": [
    "import matplotlib as mpl\n",
    "print('built-in default:', mpl.rcParamsDefault['font.size'], '| current:', plt.rcParams['font.size'])"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b4251cce",
   "metadata": {},
   "source": [
    "```{index} style sheet (plt.style.use)\n",
    "```\n",
    "### Style Sheets\n",
    "\n",
    "A **style sheet** is a named bundle of `rcParams` values (colors, fonts, grid lines, and so on) chosen to work together. Instead of changing settings one by one, `plt.style.use('ggplot')` switches all of them for every chart drawn afterward. `plt.style.available` lists the styles installed in your environment, and `with plt.style.context(...):` tries a style on one chart without changing the rest of the notebook."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "441069b9",
   "metadata": {},
   "source": [
    "The same bar chart in two styles:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "7b98de58",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-08-31T18:39:32.062967Z",
     "iopub.status.busy": "2026-08-31T18:39:32.062862Z",
     "iopub.status.idle": "2026-08-31T18:39:32.150466Z",
     "shell.execute_reply": "2026-08-31T18:39:32.150194Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 400x250 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 400x250 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "regions = ['North', 'South', 'East', 'West']\n",
    "sales = [150, 120, 180, 90]                        ### quarterly sales in $K\n",
    "\n",
    "for style in ['default', 'ggplot']:\n",
    "    with plt.style.context(style):                 ### the style applies only inside this block\n",
    "        fig, ax = plt.subplots(figsize=(4, 2.5))\n",
    "        ax.bar(regions, sales)\n",
    "        ax.set_title(f\"Sales by Region ($K), '{style}' style\")\n",
    "        plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a793a015",
   "metadata": {},
   "source": [
    "**Going deeper: what a style sheet contains, and your own.** A style sheet is simply a saved set of `rcParams` names and values. `plt.style.library` shows exactly what each style changes; here is `ggplot`:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "983160bf",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "axes.axisbelow: True\n",
      "axes.edgecolor: white\n",
      "axes.facecolor: #E5E5E5\n",
      "axes.grid: True\n",
      "axes.labelcolor: #555555\n",
      "axes.labelsize: large\n",
      "axes.linewidth: 1.0\n",
      "axes.prop_cycle: cycler('color', ['#E24A33', '#348ABD', '#988ED5', '#777777', '#FBC15E', '#8EBA42', '#FFB5B8'])\n",
      "axes.titlesize: x-large\n",
      "figure.edgecolor: 0.50\n",
      "figure.facecolor: white\n",
      "font.size: 10.0\n",
      "grid.color: white\n",
      "grid.linestyle: -\n",
      "patch.antialiased: True\n",
      "patch.edgecolor: #EEEEEE\n",
      "patch.facecolor: #348ABD\n",
      "patch.linewidth: 0.5\n",
      "xtick.color: #555555\n",
      "xtick.direction: out\n",
      "ytick.color: #555555\n",
      "ytick.direction: out\n"
     ]
    }
   ],
   "source": [
    "print(plt.style.library['ggplot'])"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6dff77ec",
   "metadata": {},
   "source": [
    "You can save your own style sheet. It is a plain text file ending in `.mplstyle`, with one `rcParams` setting per line, written `name: value`. Below, a report style that drops the top and right spines, adds a light grid behind the data, and uses slightly larger text is saved as `report.mplstyle` and then used by its file name:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "de6a0e95",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 400x250 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "report_style = \"\"\"\n",
    "axes.spines.top: False\n",
    "axes.spines.right: False\n",
    "axes.grid: True\n",
    "grid.alpha: 0.3\n",
    "axes.axisbelow: True\n",
    "font.size: 11\n",
    "axes.titlesize: large\n",
    "\"\"\"\n",
    "\n",
    "with open('report.mplstyle', 'w') as f:        ### save the style as a text file\n",
    "    f.write(report_style)\n",
    "\n",
    "regions = ['North', 'South', 'East', 'West']\n",
    "sales = [150, 120, 180, 90]\n",
    "\n",
    "with plt.style.context('report.mplstyle'):     ### use the style by its file name\n",
    "    fig, ax = plt.subplots(figsize=(4, 2.5))\n",
    "    ax.bar(regions, sales)\n",
    "    ax.set_title('Sales by Region ($K)')\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "201b60a3",
   "metadata": {},
   "source": [
    "A few more things to know about your own styles:\n",
    "\n",
    "- **Where to keep the file.** Next to your notebook, use it by file name as above. To use it by name from anywhere (`plt.style.use('report')`), put it in a folder named `stylelib` inside the folder that `mpl.get_configdir()` prints.\n",
    "- **Styles can be combined.** `plt.style.use(['ggplot', 'report.mplstyle'])` applies `ggplot` first, then your settings on top; later styles win where they overlap.\n",
    "- **Share one file with a team.** When everyone uses the same `.mplstyle` file, every chart in a report looks the same, no matter who made it."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "96537a31",
   "metadata": {},
   "source": [
    "```{index} legend\n",
    "```\n",
    "### Legends for Axes\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f61a1839",
   "metadata": {},
   "source": [
    "\n",
    "Legends are attached to an **axes** in the OO API. You typically supply `label=...` when plotting, then call `ax.legend()` to display the legend for that axes.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "fff5f38e",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-08-31T18:39:32.196965Z",
     "iopub.status.busy": "2026-08-31T18:39:32.196896Z",
     "iopub.status.idle": "2026-08-31T18:39:32.235583Z",
     "shell.execute_reply": "2026-08-31T18:39:32.235342Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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IfOIPID2x8DbvRkCHEVrLoQbtqq5SmYOT1vRTthstvlACXSDSRSNvlS6J1KJt+V22i3tKPo8U+zEJdpF0iVG4bzQpGbFbs7hJw1LBp6VmcWt+hxleBH1j/aIsf/wVTCHU5ERfRfLP0ihAGqz26dPHNC5pBin6VFakhZd8GEj51Rtdi6RUpLqfbNKqS9IXs2bNKtbgwCaQD7OYI5oQH/tNEzEj7j5A++GaEEsdBkspGenqpW3125T+4SKLM0yR9jVRtwi65LRz0rSWSsa2SiXhUb94ikQ2yYXLNwjBxQvo+6pWdF4+UIgNiLINIT3z3n//fQwZMkQ5JiRXLNGrTBCWFYnSJS8t5wkNDUXv3r3VuOSmpcO1NGwVwf7uu+/w/PPPq27Wgjg6ru0XqGsSwwqEeGlxp4SIjLSll9RE09Dqy8uaE5lU8/TTtoZdSz4mJwNIiSoSaZcQdedmaOIuW9Tf15zADrh5JNBvGlDLtzqelW6wwr8o20Um5yQXLZGxpEKk+7R0nJZmq+Vh+vTpKq8ti1dEdCUSlg4y4rQwRuUyJpUApSOJPE7Xrl2VW0PXiAhJNCxCXNT54OCirSyTPHGLAbbhI3Zy0/K+peV+TZOSRYW6IOqWbww9J2jV3Ej11FOuavRYT1m6fMvzEW9xSURGRqq8b9FO4CKGch+j3c2IOCVkUk6i5WtzzOU5j1jxxI8sjQpK6qEoHbDlQ0CscDfqsVgSVvM+pV8GTq7QouLw7QU9e+U/wwEI7qsJceu7tHQAIdVQT5miTKoEixbl7DRtAYPkPaUdvUx6GQnqAXS4D2g7jF+7ifUUuSfEKjtXhG3UIuJTfxVfcNSgQ4FzYsSNXQ2EVAMUZaJfxCd7YUeBhW05kJlUeJs02lRe4vuA+q1r8ioJKQZFmegLmSJRlqylwPHftIUWRmRZr0TDIsSBN1uOhY2QIlCUiT6QugpGC9vlc8WXG7e5W4uKm4QA9oVFmQixRKxWlC3QNEKq+/0RG5bUm5AJu5ijheOObkCrwZoQN79dN63niW1QLlH+9NNP8d577xUbk9lEWWVWnmMqg7H8pNi5rrWDEctBloULZq+XkZYInJBymMuAiJ2F49LHrdntmnOi1Z2Aiw0tdCG2K8pi6ZBlukUL4NhfU3KvLMdUBqnrIPUexKcr//DmPDcxT4Qsgiy+bPE2F63hXGGyUrWiP5KeOLdJqzSmsAMa99KcE2Jhk0I+hNha+kLqNxRdmFDRYyqKFM3x9/dXHlhZ2EAsExFkPz+/ynWmOLNeS01IWUzp1mHEv7MWEbcbrhXKIcSWRVkKordp00YtCJA6vLJkVyqelfeYyiCiLyvjjMXhiWUh32AqFCFLHvr8Fk2IT6wEspILb6vXvNDC5lP2AkyE6FqUpSCNFFofNGiQqssrtRC6dOmiKpVJvYSyHnMtUmdBtqIpkH9D0hYWt1KMVJzIv4HVrwCX9haOSb1fYzlM/060sBGboFzLrOXQojV3pU2QLKOVamIixGU95lpmzJhRYrGbf1uOSHTA1Thg40zg4E9a3Qmp4dvxfi0qbnQr2wQR3VAly6yLiq0xKpaavJKuKM8x1yIF140tjowXL8V2iM6XPUt7IGkTlFXwzUh6td0xA/CqofZehFi7T1mqiIWHh9+wWHpZjpGC6sY+dcQGkAm8NVOAxDPavpR4lG7GUiieEBunXH4ySUGcO3fO1FZIGnBK92Tp5VaeY4iNIoXjf7of+Ok+TZA9fIG7PwNG/4+CTEhFIuWQkBAMHTpU1eyV0owS/UoPNymAXp5jiI0hPeO2zgV2f6mVyZSFHreMA0Ina8ugCSGVq6ecmpqqnA83Wq1VlmMqmxAnFo70gjv8izaRdzVWG2veX2ug6VNysX9C9EqV1lM29m2r7DFEx1zar3Uzjjyg7ddtpomxtFUihOivIBGxUFJjgA0ztAhZcPYEQl8GbhkPODrX9NURYvFQlIl5kGXRu78Atr4PZF/Vxjo/Atw+HfBswFeZkDJCUSaVQ6YkpDbF2tcK6xgHdtUsbg278NUlpJxQlEnFiT8NrHlV631n7Oxxx0xtEQir9xFSISjKpPxkJmsr8fZ8pZXRdHAGejwD9HkJcOEELyGVgaJMymdxO/QjsPFNIC1eG2s5GBj4NlCvGV9JQswARZmUjYg9msUt+pC2X68FMGgO0OIOvoKEmBGKMrkxKVHA+unA0cXavosX0PdVoPtYwMHMrZ4IIRRlUgo5mcCuz4BtHwI5aVrrpZtHAv2mAbV8+bIRUkUwUibXW9ykH96614Er4dpY0C3A4He1am6EkCqFokwKifsHWPMKcG6ztu/pD/R/Uys4f02dbEJI1aAfUc5OA1ZN0qK6Rj0An1b0ypaVjCvA5jnA3m8AQx7g4AL0fBYImQi41KrSt40QoldRlsI3Um/BWHPBtbYmzkqkb9W+ejuxp18x8vOAv78H/jcLSE/UxloPAQbMAuo2rf73kBCiI1H2CgT6vAxE7NYqlGUmact/ZRNkgYMIsxLqHtpP97qwWS7s1CxuMUe1fd/WmsWt2W01fWWE2DQVqqdc1VS6nnJeDhBzRBPoiF2axzYt7vrjJMXRqCCSloi6brD+c6fJl4B1bwDHf9P2pch839eAbk/R4kaIBeiaPkX5WuQpSrEcEemLItS7gYTT1x/nUV+LoI2bX0f9CFVOBrDzv5rFLTdDs7h1eRzoNxXw8KnpqyNE96RQlP+FtETg4h4tkpafkX9rrYqK4uQOBHbRImmJqBt2B1ytrBOKfCCdWK5Fx8kR2lijnprFzb9jTV8dITZDCkW5Aoslog4WpDskot6j5aWLYmcPNGhXmJMWsfYOhMUSexxY/QoQvk3b92oIDHgTaDdc/2kaQiwMirI5iu8knCrISxfkppMuXH+cd1Bxl0f9NoC9A2qU9MvApneA/d8BhnzA0RXo9TzQ6wXA2b1mr40QGyWFkXJVvKrRBTnpgrSHOBfE11sUF28gqFuhy0PSH9UlhHm5wIEFwKa3Ne+x0PYeoP9bQJ3G1XMNhJDqE+WMjAykpUkdhELs7e1Rt+711jI57dWrVyvUQNVqullnXQUi9xdG05f2FbZCMmLvCPh3Lpw8FKGuitoR57dpqYq449p+/XbA4DlA0z7mfyxCiGWI8qxZszBz5kx1YiPye1hYWLHjPvroI3Vsamoq6tWrh3fffRejRo0y+8VbHBKpxh4rnEAUoU6Nvv446exsnDyUn/WaVzzHmxQBrJuqTeYJbnWA214HujwBOOjHhk6ItVNWXSv3f22XLl2we/fuUm9funQpXn31Vfz+++8YOHAgfvrpJzz55JNo2rQpevfuDV0jIhjQWdtueVpzPohoFrXixZ0ELodpmxSMF9zrFZ889O/0752fs9OBHR8DOz4BcjO1SciuTwG3vWbbi2IIsXLKHSn/+eef2LRpE5ycnODoeL2mh4aGwt/fH4sWLTKNhYSEIDAwEL/++qu+I+WyILnei/uKWPEOaKJaFJmYk1y0cfJQctQSAQvydsnCj3XTgJRL2liT3prFTZwhhBDbipQPHDigcsj5+fno3LkzPvjgAyW6gozt3bsXc+fOvU6oJWImBemFlgO0TcjNBqIPF7Hi7dbqUFzYoW0KO83VIZF0/KnCce9GwMBZQJu7aXEjRCeUS5QlBfHXX3/htttuQ3p6OqZMmYIBAwbg0KFDaNmypZrYy8zMhK9v8Yks2Y+PL+jpVgJZWVlqK/qJYjNImkIiYdl6PadFwolni1vxJNURd0Lb1H3cgN4TgZ4TACe3mn4GhJCaEuVHHnnE9LuE359++qlKZyxcuBDvvPMO7Aomq/LyitvEcnNzlUujNGbPnq0mEIkExXaATwttk04fwtW4gsnDglz+LeOA2kF8uQjRIZWanndwcEBwcDDOnTun9sX+JltsbGyx42Rf8sylIRH3xIkTi0XKQUEUHRO16gNthmobIUTXlB6+lsC1c4KSwjhx4gSaNGliGhOHxYYNG4odt27duhs6L1xcXFTkXXQjhBBbpFyiLPnj3377DefPn8e+fftw3333ITs7G+PHjzcdI3Y4EeEPP/wQZ86cweuvv47Tp09j0qRJVXH9hBBiu6L8ySefYNmyZejfvz+eeuopBAQE4PDhw2jcuHAJr0TE4lFesmQJ+vbtix07dmDt2rVo27ZtVVw/IYToCtuop0wIIVaia+WKlAkhhFQtFGVCCLEgKMqEEGJBUJQJIcSCoCgTQogFQVEmhBALgqJMCCEWBEWZEEIsCIoyIYRYEBRlQgixICjKhBBiQVCUCSHEgqAoE0KIBUFRJoQQC4KiTAghFgRFmRBCLAiKMiGEWBAUZUIIsSAoyoQQYkFQlAkhxIKgKBNCiAXhWNE7pqenY+fOnWjQoAE6dOhgGg8PD8fZs2eLHevk5ITQ0NDKXSkhhNgAFRblZ555Bj/++COGDRuGpUuXmsZlbO7cuejWrZtprFatWhRlQgipKlH+6aefcOLECdxxxx0l3t6mTRts2LChIqcmhBCbptw5ZUlNvPTSS0qYHR1L1vTs7Gzs2bMHhw8fRmZmpjmukxBCbIJyibKI7YMPPoi33noLLVq0KPW4Y8eOqfTG8OHD4efnh2+//faG583KykJKSkqxjRBCLI2T0Sl4YdFB/HU02jLSF6+88gqCgoIwevToUo+59dZb1WRfQECA2v/yyy8xduxYtG7dGiEhISXeZ/bs2Zg5c2Z5r50QQqocg8GAvecv48stYdh8Kl6NnY2/isHt/WBnZ2f2x7MzyCOWgb1796JPnz5YuHAhfHx81NjUqVPh7OyMadOmKcF1dXUt8b7t2rXDgAED8NFHH5UaKctmRCJlEf/k5GR4eXlV7JkRQkglyM83YP3JWHy1JQwHI5LUmL0dMLiDP8b1aYYODb3LdT7RNW9v73/VtTJHyrm5uUp4i6YiwsLCYG9vjzlz5qgcc2miLCIeHV16uO/i4qI2QgipabJz8/HHwUh8vTUMYfFpaszZ0R73dWmIsb2D0cTHo0ofv8yi3LNnz+scFUOGDFFCXNQSJ58C8mlgJCYmBgcPHsSgQYPMdc2EEGJ2rmbl4pc9Efhu+3nEpGgGBU9XR4zs0RiP92qC+p4lB50W41Mujf79+ysBvummm5CQkIAPPvgADRs2xPjx4839UIQQUmniU7OwcOd5/N+uC0jJzFVj9T1d8FRIUzx8SyN4ujqhOqmUKHfu3FnllIuyceNGfPXVVyqd4e7ujmeffRZjxoxheoIQYlFEJKZj3rYwLNl/CVm5+Wos2NcDT/cJxrCbAuHi6FAj11Xmib7qpKwJcUIIKS/HIpPV5J3Y2vIL1K9TUG2MD22GAW0bwF5m86oAs0/0EUKItWIwGLArLFHZ2radSTCNh7b0xbjQZugRXLdK7G0VgaJMCNEtefkGrD0eoyLjI5eS1ZgEwkM6BuDp0GC0Cyifra06oCgTQnRHZk4efj8YiXlbz+F8gmZrc3G0xwPdgjCmdzCC6rrDUqEoE0J0Q0pmDn7aHYH5O84rV4Xg7eaEx25tjMd6NkG9Wpa/HoKiTAixeuJSMjF/Rzh+2n0BqVmarc3f21XZ2h7q3ggeLtYjddZzpYQQcg2Smpi3NQzLDkQiO0+ztbWoXwtPhzbD3Z0C1Eo8a4OiTAixOo5cSlKTd6uPxcBo6u3SuI5yUtzeun6V2dqqA4oyIcRqbG3bziQoMd4ZlmgaFxEe17cZujWpCz1AUSaEWDS5efkqIhYxPh6l1Vp3tLdT6QlJU7Ty84SeoCgTQizW1rbkwCV8s/UcIi6nqzE3Jwc82D0Io3sHI7C2G/QIRZkQYlEkp+fgxz0XsGDHeSRczVZjddydlKXtsVuboI5H8Xo7eoOiTAixCGKSM/Hd9nP4eU8E0rLz1JhEw2N6N8X93YLg7mwbcmUbz5IQYrGcjbuqbG2yAi8nT7NStPbzVMugZTm0k4P12doqA0WZEFIj/B1xBV9tDlMtl4y2tu5N66pqbX1b+VpMgaDqhqJMCKlWW5s0H5VqbdKM1IiUzBRb282N6tj8u0FRJoRUi63tzyPRytb2T0yqGnNysMOwzoEqTdG8vr5sbZWBokwIqTIysvOweP9FVa0tMilDjXk4O6g2S0+GNIW/tz5tbZWBokwIMTtX0rLxw64L+H5XOC6naba2eh7OeKJXE4zs0QTe7tXb986aoCgTQsxGeEKaEuNf9kYgI0eztQXVdcPYPs3wny4N4epUM33vrAmKMiGkUsSmZGLl4Si1HS7o7iG09fdSk3d3tveDo43Z2ioDRZkQUqFVd6uPRWP5oSjsPp9osrQ52NshpLmPqmPcu4WPzdraakSUo6Ki8PPPP6NVq1YYOnRosdtycnKwevVqXLhwAS1atMCAAQNgb89PSkKsmfTsXGw4GYcVhyKx5XS8aaGHsWzmPZ0DcGcHf/hYQXcP3Ylyfn4+Hn74YRw4cAADBw4sJsqpqano16+faqPdu3dvzJ07F61bt8aff/4JZ2d9r1knRG9k5+Zj25l4rDgchfUnYpFesPzZuOru7s4BGNoxwKJ73tmEKL/11luoV68eQkNDr7tt9uzZiI2NxZEjR1C7dm1ERkaibdu2mDdvHp599llzXDMhpArJzzdgz/nLSoglRZGUnmO6rVFdd1UyU8S4ZQN6iy1ClLdt24b58+fj4MGDGDVq1HW3L1myBA888IASZCEwMBBDhgzB4sWLKcqEWPBKu2ORKVh+KFIt8ohJyTTd5uvpgiEd/ZUYdw6qzTyxJYny5cuX8eijj+K7775D3brXV/nPzs5GWFiYyjMXRdIX69atK/W8WVlZajOSkqIVsiaEVC1h8Vex4lCUioql350RT1dH3NneX0XEPYLrqQk8YoGi/MQTT+C+++7DHXfcUeLtaWlp6hPXGCUbkX3JNZeGpDxmzpxZnkshhFSQqKQM/HlEE2KJjo24Otnj9jYNcE+nAIS28oWLIz3FFi3K69evx5o1azBt2jS8//77auzcuXNwdHRU+2PHjoW7u3uJka5M+nl4eJR67ilTpmDixImmfbl/UFBQRZ4PIaQEZFXdX0ejlRAXLQQkbZXEuiYRcf+2fqjlQpdsTVPmdyAgIAATJkzAlStXTGOScsjLy0NMTIz66eLigsaNG6sURlFkX6xxpSH3k40QYj6uZuVi/YkYlZ6QhqO5+YUWNimRKTlisbDV1XknD2vDziD5hgoiE3iurq5YunSpaez5559XHmVxX8htkodu2bIlXn75ZbzyyitlOq9Eyt7e3irC9vLyqujlEWJzZOXmYcupeCw/HIWNJ2ORmZNvuq1dgJfyEkvh+ACd9rezZMqqa2b/rjJ16lSsWrVK2eUk97xixQoVPdMOR0jVkJdvwO5zico5seZYDFIyc023NfXxMFnYmvnW4ltgBVRKlIcPH65yykXx9fVVdjlZ7RcREYFJkybhwQcfVFEzIcQ8yBfcQxeTVI5YLGzxqYXupQZeLmpBxz2dA9E+0IsWNltKX1QVTF8QUjJnYlNVvQkR44jL6aZxbzcnlR+WqFjyxbSwWR41lr4ghJiXi5fTsVIsbIeiTF07BDcnBwxo10AJce8WvnB2ZH0ZPUBRJsQCSbiapSxsEhUfuFDoeJIWSqEtfXF350Dc0aY+3J35L6w3+I4SYiGkZuZg7fFYNWG3MyxRTeAJUv2yR9N6arJucHs/1HanhU3PUJQJqUEyc/Kw6Z84lSPe+E+cqspmpFNDbwztpFnY/Lw5UW4rUJQJqYHOzjvCElWOeN3xGKRmFVrYmvl6KNeEiLHY2YjtQVEmpBqbiX6+6Sz+OBSJhKtaM1EhwNsVQzsHqAk7aaHEbh22DUWZkGqIjH/aE4EP159GcoZWm1iWNt/ZwU9FxV0a1YE9q7CRAijKhFQhO88mYObKEzgVm2rq1vHSgFaqCpsTm4mSEqAoE1JF3uK3V53EmuMxar+2uxMmDWiFh7oFsbMzuSEUZULM3Fz0y81h+HrrOeWkkKzEyB6N8WL/lrSykTJBUSbEDEi1ArG1zVn9D6KTtVZKtwbXw/S726K1HysdkrJDUSakkhyLTMbMlcexL1xbeRdY2w1T72qDQe396KQg5YaiTEgFSbyahffXncKifRchZb2kFsUzfZthTJ9guDqxlRKpGBRlQspJTl4+fth1AR9vOI3UgtrFsthjyuDWLB5PKg1FmZBysPV0PN788wTOxl1V+7LYY8bd7VS5TELMAUWZkDJwITENb/15EhtOxpoWf4jf+IFuQaxdTMwKRZmQG5CWlYvPNp3Fd9vOIzsvXwnwqFsb44XbW8Lb3YmvHTE7FGVCSiA/36BqVIjFLa6g1VLvFj6YNqQtWjTw5GtGqgyKMiHXcPhiEmasPI6DEUlqv1Fdd2Vx69+2AS1upMqhKBNSgDQfnbv2Hyw5cElZ3NydHfD/bmuOp0Ka0uJGqg2KMrF5ZDn0wp3n8enGs7haUNv43psC8cqg1iwuTyxflPfu3YsVK1YgISEBLVu2xKhRo+Dj42O6ffny5ViyZEmx+3h4eODrr782zxUTYkak68dbf57AuYQ0td8h0FtZ3Lo0rsPXmVi+KM+cORObN2/GoEGDEBgYiKVLl2LOnDnYs2cPmjZtqo45evQodu/ejRkzZpju5+zMnmLEsjifIBa3E/jfP3Fq36eWMyYPbI37ujRkbWNiPaI8evRoTJ8+3bQ/ZswYJc6LFi3ClClTTOMSOT/66KPmvVJCzNSc9LP/ncX8HeeRk2eAo70dnujVBBNubwEvV1rciJWJsghwUS5fvoy0tDQEBQUVG4+MjMT48ePh6uqK7t2744EHHoC9vb15rpiQClrclv19Ce+uOYWEq5rFrW8rX7wxpC2a+dbia0qsN6d86dIlvPrqq0qM9+3bh6lTp+Lhhx823S79xTp27Ii2bdsiKSkJEydOxLx587B+/Xo4Opb8cFlZWWozkpKSUtHnQ8h1HIy4ghkrTyirmyANSd8Y0gb9Wjfgq0UsDjuDFIItB8nJyVi5cqUS3GXLliEmJgZr1qxB48aN1e3x8fHw9fU1HX/+/Hm0a9cOH374IcaNG1fiOSX/LPnqkh7Ly4u1aEnFiEvJxJw1/+C3vyPVvoezg0pTSLrCxZFV3Ej1IsGmt7f3v+pauUW5KHl5eejatSs6d+6MBQsWlHpcSEiIcmrMnz+/zJGypEQoyqQiZOXmYf72cHz2vzNIy85TYzKBN3lQK9T3dOWLSixalCvlU3ZwcECbNm0QHh5+w+Mk1XEjXFxc1EZIZZD4YuPJOMxadQLhielqrHNQbWVxk5+EWAPlmn0T/3HRwDoiIgIbNmxAz549TWOLFy8udszvv/+OQ4cOYciQIea6ZkKuQ0ppPrZgH0b/sF8Jsq+nCz74Tyf8Nr4nBZlYFeWKlLdu3YrXXntNTeJlZGRgx44dGDp0qBozsnPnTrUveWRZYHLw4EGVLx4+fHhVXD+xcVIyc/DJhjP4fmc4cvMNcHKww5MhTTGhXwvUcuGCVWJ9lDunHB0djQMHDsDJyUmlLho1alTqMe7u7ujQoUOxiT9z5l5sjeNRyTgVkwo/L1fV4cLP29VmazLk5RuwZP9FzF17Colp2Wrs9tb1MXVIW+WuIMQmJ/qqCopyIfL27DibiC+3nFU/r8WnlgsCa7vC39tNCXVAbVfVuNO/4HcfDxfdrVDbH35ZVXE7FqlZJ4N9PVRJzb6t6tf0pRFSsxN9pGojwdXHovHVljCT+EiB9Zsb1cbltGxEJWUiIydPLYSQ7fCl5BLP4+xgD//argjwFqHWBFsTbzeTmHtYydf86OQMVd94+aEote/p4ojn72iBUbc2gbMjFycRfWAd/402RGZOnlp59s3WcyYHgXRJlrZDo3s3RcM67qYIOik9B1HJGUqgo5LkZwYikzIQnaztx6Zkqm4ZFxLT1VYa3m5OJpGWn1rUXSjg9T1d4OhgX6OvybfbzuHzTWHqg8jODri/SxBeGthKTegRoicoyhZCckYOftx9AQt2hJuWAdd2d8LjPZuoSFB6whVFVk7W8XBWW7sA71K7Loswi2hLlCmCrYl3oYinZOaqx5btZHTJKyklQm/g6WKKsItG2drvbvByczR7AXj54Fl7PBZv/3UCFy9nqDGp3jZjaDt0aFjycybE2qEo1zAimt9tP4+f90SYavmKyElULNGxu3PF3yInB3sVWRuj69IK9EhkbRTs6ALBVvvJGYhJzlSFe6Ik+k7OBC5cKfE8slpOy2MXRNwFgm1MmcikZHlW0Z2OTcXMlcdNefQGXi6YMrgN7ukcwO4fRNdQlGuIsPirmLflHH4/GKlSDEKrBp54OjQYQzsFKEGtDjxdndTWspS+c1LIRyJ3TbQLBVsib+O+uB9k5Zx4hWUrDUk1qEjb27XEiFvKZ6Zk5OKjDafxf7svqLy65MTH9GmKZ/o2t5rcNyGVgX/lNVAcRybv1p2IVS2HhO5N6mJc32Dc1qq+xUWB4tyo7+Wqtpuudz+acr4qyi4ScZvSJEq8M5CZk6/aLcl2+GLJ55HJOgc7O5U3Fga0bYCpd7VFo3qlR/qE6A2KcjUgudEtp+OVGO8+d9k0fkebBhjfNxhdGteFNSNe6WDfWmor7flfkUlJY5StUiPFBVw6RktbJqFF/VqYPrQdQloUdrQhxFagKFchuXn5WHVUbG3nTJNoUlR92E2BeLpPsM20qpfoXyYqZWsfWPIEnQiy5NdlwrGVn2e1pW8IsTQoylVARnYelhy4iHlbz+HSFc01IJ2RH+7eCE/1bqpyqOT61EVQXXcUb5dAiO1BUTYjSenZ+GHXBSzcGa4WeAj1PJyVrW3krY1R2529CgkhN4aibAYkJyq2tl/2RiC9oH5vwzpuGNsnGP/pEgQ3Z9usT0EIKT8U5UpwJjZV5YuXH4pUFcqENv5eGBcajLs6+NfoKjhCiHVCUa4ABy5cxpebw7DhpNaeXugRXBfj+zZHnxY+FmdrI4RYDxTlMiKLKDadilO2tn3h2qo20d6Bbf0wrm8zFlInhJgFivK/IPUjVhyKwtdbw3A6VlutJqvMht8ciDF9gtmenhBiVijKpZCenYtFey+qCTxZ5CBIJ4tHbmmkOls08GIDTkKI+aEoX4NY2aS10Pe7wlVpTGMh+SdDmuCRWxqrMpeEEFJVUJQLuHQlHd9uO49F+yJUnQahcT13ZWsbcXNDm227RAipXmxelGX589dbwrDySLSqSia0DxRbWzMMbu+vagkTQkh1YZOiLAVy9p6/rJwUm07Fm8ZDmvsoMe7VvB5tbYSQGsHR1mxt60/GKjE+GJGkxiQQlohYxJjdLAghViXKOTk5WLhwIZYvX46EhAS0bNkSEyZMQLdu3Yodt2vXLsydOxcXLlxAixYtMHXqVLRv3x41hVQg++NQpEpThMWnmQrg3NelIcb2DkYTtqQnhFijKE+ePFn9FCGWFtmLFi1CSEgIduzYga5du6rbDh48iNtuuw3PPfccXnzxRXz//ffqmEOHDqFJkyaoTqS90i97IpStLSYlU415ujpiZI/GeLxXE9T3pK2NEGJZ2BkkwVpGsrOz4excvNJZw4YN8fTTT+ONN95Q+yNGjMDly5exadMmtS+nb926Nfr374/PPvusTI+TkpICb29vJCcnK/EvL9K+aOGOcPywK1w1BhWkI/NTIU3x8C2NVPsjQgipTsqqa+WKlK8V5P379yM+Ph7du3c3jYkYT5kyxbQvdSDuvPNOrFu3DlVNRGI65m0Lw5L9l5BV0MUi2MdD2druvTmwXI07CSHEKib6zp49i2HDhiEtLQ1xcXH45ptvMHDgQHWbjF25cgX+/v7F7iP7Fy+W0pgNQFZWltqKfqKUlxWHo/DCooMocLWhU1BtjA8NRv+2frS1EUL0K8pBQUEql5yUlITFixer/HKbNm3UZF9ubm6JEbWLi4uaJCyN2bNnY+bMmagMtwbXUy2Ebgmuh/GhzVTVNlZrI4ToOqdcEv369UOdOnWwbNky5Ofnw83NDR9//DHGjx9vOmbatGlYsGBBqdFySZGyiH95c8rS4401KQgh1pxTrnQV9nr16qkHUSezt0fnzp2xZ8+eYsfs3LkTXbp0KfUcEknLRRbdKgIFmRBi7ZRLlCXiFWeFkfXr12PVqlW4++67TWPixFi6dCkOHDig9mWCb/PmzRg7dqw5r5sQQnRJuXLKYn/r1KmTiogzMjKU3U2EWvLKRp588kmcOnUKvXr1UlG0TPxJzlgcGIQQQqogp3zp0iU4OTmhfv36pU6mpaamIiYmBoGBgXB3dy/X+SvrUyaEEJvwKReNmP8NT09PtRFCCCk7bLdMCCEWBEWZEEIsCIss3WlMc1dkZR8hhFgiRj37t2k8ixRlmSQUZAEJIYToCdE3mfCrshV9VYGsDIyKilITheVZKm1cCSgrB/Xo2tD787OF58jnZ7vvocFgUIIcEBCgbMVWFSnLBZfF4VEalVkVaA3o/fnZwnPk87PN99D7BhGyEU70EUKIBUFRJoQQC0JXoiyFjaZPn65+6hG9Pz9beI58ftaPSxX/jVrkRB8hhNgquoqUCSHE2qEoE0KIBUFRJoQQC8IifcoVQXoGbty4EX5+fqqWs94Qo/qRI0dQt25d3HTTTXB1dYWekB6Ohw4dQmxsLJo1a6b6PuqVDRs2ICEhAcOHD7+un6W1smXLFkRHRxcbk7K9vXv3hp7Izs7Grl27VD35nj17VomX3uon+qQ26aRJk/DXX38hLy9P/RFI5xO9IDWpx4wZg6NHj6Jdu3YIDw9XK4p+/fVX9UehB9asWYMXXnhBfeDItmPHDtWI97fffkOtWrWgJ9auXYt77rlH9aSMj4+Hj48P9MCgQYPU36a0gzNy8803Y/LkydALmzdvxiOPPKKadwQHB+Off/7BvHnz0KdPH/M+kMHKiYqKMnzzzTeGq1evGu655x7DiBEjDHri7NmzhpUrV5r28/PzDY8//rghKCjIoBfWrFljiImJMe3HxcUZateubXjvvfcMeiI6Olq9b7NmzZJAyBAfH2/QCwMHDjRMmjTJoFcuXLhgqFWrluGNN94wjSUmJhq2bdtm9sey+pyyv78/Ro8eDQ8PD+gR+So/ZMgQ077UArn33ntVOqNov0RrZuDAgWjQoIFpX6JHiZiNhan0gNRzGTlyJJ5//nnVUk2PSPrijz/+UI2S09LSoCc+/fRTlaqQ9ndG5G80JCTE7I+lm5yyLSE5Sfkwkj8KvSD/xCtXrkR6ejr+/PNPJczPPvss9MKcOXNUQZqJEyeqZsN6RL7eSzrx9OnTKsU2f/583fTm3Lp1K/r166cChe3bt6saFpKeqYr0GkXZCnOSX3zxBRYsWAA9IWIsUZb8M+/fvx8PPPCAbtqJycTQJ598gr///rtcVQ+tCZnXEdFycHAwffg8/PDDKu8qk+/WTlxcnIqUu3TpoiahpU+pzPf88ssv6nmbFYOO0GNOuSjbt29Xea1p06YZ9IzklBs1amSYOHGiQQ+0a9fO8Oijjxp++eUXtU2ePFnllOfNm2c4fPiwQY+kpKSo5/jrr78a9ECrVq0Mbm5uhjNnzpjGxowZY/D39zf7YzFStqJoa/DgwSonOXPmTOgZX19fNZu/bds26AHJO4plU74JCFIrXFi9erX6+tuxY0foDTc3Nzg6OiqHiV7mdurUqYPmzZubxkaMGIFvvvlGvZ9SI9lcUJStgN27dyuRmjBhAmbNmgU9ThBJjrzopJh4lvXSeearr74qti85c/nAETuVHixxMh8g71nRdJPMD+Tm5iprox4YOnSoCobEymgsRHTy5En1uwQR5kQXorxs2TK1+CAyMlLltBYtWqReLHEpWDtnzpxRgtyyZUt06NBBPTcjEjmXpWi2pfPQQw+hdevWauJEzPnyfoaFheHbb7+t6UsjZUC+BfTv3x/Dhg1TkaSI1eeff45x48ahe/fuungNn3zySTWPI/9zkisX99OHH36It956C05OTmZ9LKtfPCI8/vjjyMzMLDYmSXmJRKydgwcP4t133y3xtvfff79SHVosBYmo5MNGrFQyESYTKaNGjdJt5xHjeypfffUymZmYmIiFCxfixIkTyt4ogYTZF1XUMLKKT94zmbCVbzgSPYeGhpr9cXQhyoQQohesfvEIIYToCYoyIYRYEBRlQgixICjKhBBiQVCUCSHEgqAoE0KIBUFRJoQQC4KiTAghFgRFmRBCLAiKMiGEWBAUZUIIsSAoyoQQAsvh/wPi0wYE7XrX6QAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 400x300 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "month = np.arange(1, 7)\n",
    "laptops = np.array([30, 34, 33, 38, 41, 45])          ### units sold\n",
    "phones = np.array([52, 50, 55, 58, 57, 62])\n",
    "\n",
    "fig, ax = plt.subplots(figsize=(4, 3))\n",
    "\n",
    "ax.plot(month, laptops, label=\"Laptops\")   ### label= is what the legend shows\n",
    "ax.plot(month, phones, label=\"Phones\")\n",
    "ax.legend()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "cfeb1f65",
   "metadata": {},
   "source": [
    "\n",
    "If the legend overlaps the plotted data, pass a `loc=` argument to `ax.legend()` to move it.\n",
    "\n",
    "Common values include string labels such as `'best'`, `'upper right'`, `'upper left'`, `'lower left'`, and `'lower right'`.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "aeaceddf",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-08-31T18:39:32.236971Z",
     "iopub.status.busy": "2026-08-31T18:39:32.236895Z",
     "iopub.status.idle": "2026-08-31T18:39:32.299065Z",
     "shell.execute_reply": "2026-08-31T18:39:32.298852Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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X1dqtEgTBkpzfAizvA4Q9AbIWBbr/oXn8WxBRAATB1mJ9F3UGHl0D0mQCuiwCCtSwdqsEQbAkB34ENn4AGKKAgrWBzr9p8m9hEq0AGAwGLFu2DBs2bECqVKnQvXt3NGrUKNo1fn5++Oabb3D16lUUKVIEQ4cORc6cOc3ZbkFwPC5u05L7qFhfX+CNZUAWX9gC/v7+mDt3Lo4dO4b8+fMrmc6TJ0+0a/78808sX74coaGhaNiwIfr27YvUqSXXmCDESVQksPkjYP932n6FN4GWXwEubkgJEiWdUVFR6NixI0aOHInKlSujadOmmDVrFtavX2+85tKlS+rcrVu30LZtW9VhcP/+/fuWaL8gOAaH5gOLOmmDf/4aQL+tNjP4X7hwAaVLl8bu3bvRrl07FCxYEM2bN492zezZs9G5c2eULFkSdevWxaeffoq3337bam0WBJsnNAj4vduLwb/hZ0Drr1Ns8FcYEsH3339v8PT0NFy8eDHa8cDAQOP/e/bsaahUqZIhKipK7YeGhhp8fHwMo0ePTvD7PHr0yMCm8a8gODSREQbDpo8MhnHptW1lf4MhPMRstzeHLNWqVctQv359Q2RkpPFYQECA8f/BwcGGdOnSGWbMmGE8tmXLFvW+J06cSLF2CoLdEHjDYPi2hibzE7MbDCdXmfX2CZWnRFkA5s+fj1atWsHXN/rMJEOGDMb/b9q0Sc0SuDxA3N3d1Wt4XBCEGLG+f7wJ7P1G268/Fmg716yJPpLLxYsXsWvXLgwZMiSaOT9jxozG/9MyEBQUhPbt2xuPNWjQAJkyZRK5F4SYMI//j/WBuycAr+xA7w1AqbawBonyATh+/LgS8m+//RY7duxA9uzZ0aFDB9SvX1+df/r0Ke7du4e8efNGe52Pjw8uX74c5325ZshN5/Hjx4n/JIJgd7G+XYDbxywe65scKPMkX758GDZsGG7evImiRYti0KBByJUrlzpH2abCb+oTQGUhd+7cccq9yLzglJxdrxXyCn8KZCsBvLEUyJjPas1JnRjnv2fPnuGrr77Cvn37lC9A1qxZ1VognYNIWFiY+ps2bdpor+W+fi42pkyZoqwI+kaFQRAcOtaXVb04+KfNCvReZ5ODv67Uk65du6oBnxMAKgWlSpXCtWvX1DnKtpubG1xdXRMs9yLzgtOV7947RyvkxcHftwHw1marDv6JsgBQw6fZj4Pzb7/9ZjxOpWDy5MkYOHAgvL294eLiojyGTXn48GE0k2FMxowZg+HDh0ezAIgSIDgk5zcDy/uaxPouBTIXhK1CMz5599138f7776v/U/kvVKiQUvw5kFO2OdAHBwfDy8srQXIvMi84DZERwMZRmqMvqdwXaDYVcLF+FH6iWlC+fPmXwvnYEdDDnxYCzgA4M6DnvylHjx5FuXLl4ryvh4eH2gTBodn/PbDpw+exvnWex/rGrRjbArrcmvr9UM65JMDlPtNrKPfVq1dX/+ckgBaCuOReZF5wCkIeaaG9LOeLVECTScBr79pMRs9EOQEyrnfbtm24ffu22qfWz5wANWrUMDr99ezZE0uXLsWVK1eMncLmzZvVcUFw2hnAhlEvEn0w1rfHCpsf/An9eRo3bozFixerMGBy5swZ/Pfff6hZs6baL1OmjJocTJ06VU0EyIwZM5AuXTrlACwITknAVWBeE23wd0urlfF9fZDNDP6JtgD06NEDBw8eRIkSJVCxYkUVH0w/gBUrVhivoZnwwIEDKFu2rOoYOPun4tCtWzdLtF8QbD/Wlyb/C1u0/UYTgOrv21Qn8CrmzZunfH3o/EeF4NChQ+jVqxd69+5tvGbRokXqmsKFC6uBnxMAKg2mEUKC4DTcOKSl8w6+D6TLBXRbAuQuD1sjFWMBE/simvbOnz+vnIKoDMSW7evcuXPqOnYITBySGOgDwI7j0aNHSJ8+fWKbJwi2waMbWmGPuycB1zRA+x+Akq1TtAnmkiXO/jnrZ7hf8eLFjREApoSHh6sJAj38q1SponyCUrqdgmB1Tq3WCnlFhAA5ymg5/TNEz5ppaRIqT0lSACyNdAaCQ8T6Lu4KPLmjxfp2XwLkqZTizbAXWbKXdgpCnHAo3T0T2PqZtl+kCdBxPuCRcEU4peXJ+m6IguBonFkHrHxbC/fJXlKbAVg53EcQBAsSEQasHw4cWaDtVxsANJkMpHax6ccuCoAgmDXW9xtgyyfcAQo3BDr+DHjKjFYQHJZnAcDSnsDlnUCq1EDTL4Bq78AeEAVAEMxBZLjm6X/4Z22/8ltAsy9tItZXEAQL4e+nle9+eAFw99YU/qKN7eZxS+8kCOaI9V3aC/Db8TzWdzLw2kC78vQXBCGRXNsHLOkOPH0IpM+rLfXlLA17QhQAQUhurO/izsD9s1qsb4d5QPHopXIFQXAwTiwHVg8EIsOAXOW1wT9d9CR59oAoAIL1K+Id+AE4+ruWGCd7Cc1xLltx7a93Ntv9huwk1lcQbI4HF4B/vgRu/QdkLhRd7rMVA9zSwGb9fHZOBXZM0vaLt9TCe91fpMC2J0QBEKxD+DMtN/a/X2kDqM71/dGvY7Ec1TmUiN5JWDuL3qlVwKoBWqxvzjJAt5SP9RUEu8P/sjbwH1+iZcUkDy++SJRF6EiXqeDLcp/ZF3B1t1rTEREKrH1fazup/h7QcAJLX8JeEQVASHkh+u83YNd0IEhLKY1MBYBaIzQT+r0zmjn93mmts3j6ALiyS9tMSZc7RgdRQlMMLK2Jcwbw7wxg2wRtv2gzoMNPVon1FQS7IfC6NnM+ugiIinghO5V6A49vvpD7u6eAZ/6A/yVtO7vuxT1SuwJZirxQCLI/txKy/7B0uN1Tf62S37U9QCoXoMV0oHIf2DuiAAgp5yV/dLHWCTy6rh3L4APUHgWU7w64uL38mrCnwINzwL3nCoHeSfD1Qbe07dK26K9hZ8A626adBKvuuXqYJ9Z33TDg6EJtn0U9Gv/P5mN9BcFqBN3RlP3Dv2jr5YSlcOt9DOStFLuCTYsgZV1tJnIf+hi4z/+fAU6tfPEaV09NxpW8m8g9+xdzOOI+uAgs7qR5/HukBzr/CvjWhyMgCoBgWaIigeNLgX++AAIua8e8cwK1RwIVe8Y/MLunBXJX0LaYXvf3zz3vHEyUg+B7QMAVbTu/8cX11Niz+D63EpiaFAslPEyPMwDG+tISQRMlQ/yqvp2UJyIIjs+T+1pWvIM/actkpEAtoP5YIN9rcb+OA7Z3dm0rVCe6YqBbCkyVA/YDEc+AO8e1zRT3dJoioPsT6XLPeydUMbjyrzbzDwnUknl1X6bd00GQVMCCZWDluNOrgL8/Bx6c1455ZQNqDtPqYVvCySf4oTY7MM4cnisHFN7YcHF/PnPQlxCe/82YP/q6nor17aStVTLWt9MvQJFGsAfsJcWuvbRTSICivGc2sP8HIDxYO+ZTTZvxmw7o5pxgBF6NIfNntD4nKjz216TJZKIQlHgh92kzR7+Ojslr39Puk6cy0O13TXmwA6QWgGAdqKlz3W7HFODeqRcCV2MIUPWdlPeWZXtohnxJMTjzooOKCX0R6Ims1hcLAvu+1dYl7TDW114GVntppxAHtMrt/RbYOwcIC9KO0XJXbyxQuEHK58TgkuPDSzHk/oymzOvOhzGhZVL3K6Cv0qF52vGSbYF239luZEIsiAIgpPxAS09ehsfcPqYd43rZ64O1pDi2lg6XFgr6Eqj1RVOT4nkgMvTl69mZMczPzmJ97WVgtZd2CjEIfQLs/w7Y8/ULSxsr4NX7CCjWzPaSYYWHaNaBmHIfeC326+mcTCXGzjz9pRiQkHIDv9/f2sB/46B2jGZyFsOoPlib/dsiFOhM+bWtWNMXxyMjNB8Co/PRGW3tr86Hmk+CIAiagy7X97nOz0x4JGsxbeAv0dp2B0w3TyBXWW2LqcgY/YrOaJODUm2B0h3gyIgToJB0ruzWBv6ru5//mtJojnE1hgJeWezzydIpMGthbSvZ2tqtEQTbm0HTo5+hsE/uasfoTFt3jDZY2mtEjIe3FpUQW2SCAyMKgJB4rh8EdvxPm/nrznR07Ks5HEiXQ56oIDgaDIFl+OvOaZo3PlGWsdFA2a5S9MpOEQVASDi3jgA7Jr/I2pXaDaj4JlBrpGTBEwRHhEtizHzHMF59nTx9Hi2Mt3wP62bmE5KNKADCq2F2Lg78elYuxtWX7wbU/kBbQxcEwbFgeN3JFVoYLzPyEa/smlMcs/dxLV2we0QBEOKGHvF/T9Hy3sOglbot0wmo+6GWWEcQBMeC0TFn1mpyz+x7JG0Wza+nSj9xhHUwRAEQXoaxsn9/AZxY+iJmlrGwdPRxoCxYgiCYRPOc26hZ+u6e0I55ZgCqvw9U6w94pJNH5YCIAiC8gGt8zNV/ZBFgiNSOFWuuDfwxw2YEQXCMgf/iNi2ah6V59RS6r7+r1bqwdtVNwXYUgNmzZ+PLL7+MdozJO06dOpWoawQb4/Gt5wU7fn2RPrNwQy2mN49zhcUIL1O3bl1cvHgx2rE+ffpg4sSJibpGsDEu7wS2TwKu73uRAZOzfc76Y6bFFRwS18RmF8qePTvWrl1rPJY6RsKHhFwj2AhP7gH/fgUcnPci+13B2lrmq3zVrN06wUa4c+cOBgwYgN69exuPeXt7J/oawUa4tg/Y/r8XJbZZTY/r+1zn985m7dYJtrwE4O7ujrx58yb7GsHKBTuYwevAj0D4U+2Yz2tA/Y81BUAQYpAxY8ZXynRCrhGsyI3DmqlfL6HNMF569NOzP30u+WqckERPzc+cOYMSJUqgQoUK6N+/P27dupWkawQrFeygyW9mWWD3LG3wz10R6LEC6LtJBn8hTqZPnw5fX1/UqVMHs2bNQmRkZJKuEazAnRPA4q7AT/W1wT+1K1CxF/D+EaDFNBn8nZhEWQBo0hs7diyaNm2KwMBAjB8/HpUqVcLJkyeRJUuWBF8Tk9DQULWZLiMIZob5rRd3fpHMIycLdnwMFG1qewU7BJuifPny6Ny5M0qWLIlDhw5hxIgROHr0KH7++edEXWOKyHwKQSvfxg+0aJ5UqbWsfXU+ADIXTKkWCLaMIRFERUVF2w8KCjJkzZrVMHHixERdE5Nx48YxyPyl7dGjR4lpnhAXF7cZDJPzGgzj0hsMX5UxGE6tNhgiI+V5OQGUoeTKUkyZXr58ubrn5cuXE3WNKSLzFiYywmDYMFqTeW6/dzcY7p2z9LsKdib3iVoCSBVjpsjZfunSpZXJPzHXxGTMmDGqDKi+Xb9+PTHNEuLj0M/Awo5A6GMgX3Xg7R1AyTa2W61LsDliyvRrr72m/sYn97FdY4rIvAVhZbsl3YH9c7X9Bp8CXRYC2Ypa8l0FZ8sDEBUVhStXrqgBPjnXeHh4qE0wc0avrZ9qdbpJ2S5A668BV3nOQvLw8/NTfzNnzpzka0TmLcSjm8DvXbR1fxcPoN13QOn2lno3wc5J1DRwyJAhRsF+9uwZRo4ciRs3bqBXr16JukawMGHBwNI3Xwz+dT8C2n0vg7+QaPbs2YOvv/4aQUFBap+x/u+//z7KlSuHKlWqJPgaIQW4fQz4qYE2+KfNCvReL4O/YD4FoGbNmmjVqpUK98mUKRN27tyJzZs3o3Llyom6RrAgj28DPzfXCvewTG/7n4C6o8XRT0gSZcqUUQp8gQIFlDzT2Y/HNm3aZMzvkZBrBAtzdgMwvykQdBvIVhx4exvgI8qXED+p6AiAREJN39PTE25ubsm6Ji4YBcDsgfQHSJ8+faJf79zhPl20et0s4NF1MZBPW4sVnBNzylJAQIAa4JN7TWyIzCcRdt/7vgU2f6z5TheqB3T6RVL4OjmPEyj3SfIBSJcunVmuEczI+S3A8j5A2BMgSxHgjaVA5kLyiAWzkZCBPSmDv5BEIiO0EL9D87R9JvVpPg1wSfykS3BOpBiQI7D/B2DTaC3Wt0AtoMsCII10xILgsIQ8Bpb1fp7VLxXQeCLw+mBZ6hMShSgA9kxUJLD5I2D/d9p+hR5Ai68AV3drt0wQBEvBZF5c6rt3Wivg0/5HoERLed5CohEFwF4JDQKWvwVc2KztNxgH1BwmMwBBcGRuHtbS+gbfA7xzAt2XALkrWLtVgp0iCoC9xvpyBnD3hFbJi7G+pdpZu1WCIFiS02uAlf2BiGdAjtJA9z+ADFJ8SUg6ogDYG7eOaDOAJ3cAr2xAtyVAXgmxFASH9vRn8a6t47T9wo2ATj8DHuJoLSQPUQDsibPrgRX9tCp+2UpoM4BM+a3dKkEQLEVkOLBuGHBkgbZf9R2gyRTARbpuIfnIr8geY31962uxvp4ZrN0yQRAsxbNAYGlP4PI/WiW/pp8D1frL8xbMhigAdhHrOwo4NF/br9TneayvfHWC4LD4X9bKdz84D7h7Ax3nA0WbWLtVgoMho4gtE/Loeazv9uexvv8DXh8knv6C4Mhc269V83v6AEifR1vqy1nG2q0SHBBRAGyVgKuap//9MxLrKwjOwonlwOp3gchQIFc5oNsfQPpc1m6V4KCIAmCL3DgE/M5Y3/sS6ysIzuLns3MasON/2n6xFkCHHwF3L2u3THBg7FcBOL4UuHtKK3eZs6zjmMVPrQZWMdY3BMhR5nmsbx5rt0oQbAN6xDMGvmQbwCsrHIKIUODPIcCx37V9pvRtNAFI7WLtlgkOjv0qAAd/Aq7vB3bPBLIUBkq1B0p3ALIXh/3G+s4Etn6m7RdpAnScJ7G+gqDj7/fCGXbDKKBQHU3umQbXXmtfPPUH/ugBXN0NpHIBmk8Fqrxl7VYJTkKSygHbRClDzpRPrgAubNFmyzrZS2pWAXYMWXxhF0SEAeuHv4j1rTYAaDJZZgBCsrGXMrsJamfwQ+DoQuDkSuD20RfHU7sBhRtoMl+8uf0ozQ8vAYs6Af6XAI/0WmgvP4cgpJDc268CYJoT/9xGTRm4uA2ICn9xLlf558pAOyBjPtgkzwKex/rufB7r+wVQ7R1rt0pwEBxKAYg5eJ5aCZxcBdw79eI4U2MXaaRZA2lFc08Lm+TKbuCPNzT5z5BPW+rLUdLarRIcBOdRAEyhMJ1Zp3UMfv8AhsgX5/JW1ZSBkm1tx6uWJs1FnYGHFyTWV7AIDqsAmHLv7HNlYAXw8OKL425eQLFmmtwXbgi4esAmOPo7sPY9bbKSpzLQ7XfAO7u1WyU4EM6pAJgS/EArnnFqFXDlXy2DniIVkL8GULqdpgxYy5Ho2r7nsb4PJdZXsBhOoQDosCu7c0JTBKgQsGyuDk3sxVtqykChuoCLm9nanqj27ZgM7PxS22f/w0JebmlSvi2CQyMKQLSncVtTBtgx3Djw4jidbgrW1syFKelIpGJ9BwKRYdoyBc1/6XKmzHsLToVTKQAxB9ub/z1XBlYBQbdenKOcl2ityX2BminjaxMeAqx5V2sPqTkcqP8JkDq15d9bcDoeO70FIC44K2CHEJ8jEc2GnuktFOs7FdgxSdvnjKT9DxLrK1gMp1UATImKAq7v02T+9Gotv4aOV3YtpJDKgE81ywzItEbS2seopdSuQKtZQIUe5n8fQXiOKAAJIS5HIhcPoGhjTRko2tQ8jkSM9V37PnB8ibZf/T2gIWN9ZQYgWA5RAGKprXH1X00ZOLNW8xvSYdpdOgxT7vNUNE9ukfvnNE//wKta8a4uCzWroyDYmwLw7NkzBAcHRzuWOnVqZM6c+aVredsnT54gXbp09tFpxetI1FSbISTVkYixvkveAK7t0ZYdWkwHKvcxa/MFwVKyFBgYiIiIiGjH0qRJAy+vl7PUhYeHq2t53uZlnqV2/f7WZJ6ltkMfvziXMf+LcGLm4U+KMsB7/9ETCH0EZCoAdF8GZCtq1o8gCCmmAPzvf//D+PHj1Y11+P9Lly5Fu+6rr75S1wYFBSFLliz44osv0LNnT/uYteiORLoy8JIjUQtNGUioI9GDi8Bixvr6SayvkOKYQ5aKFy+OGzduwNPT03isX79++Pzzz437AQEBePvtt7F27Vql/FerVg0///wzihQpkmLtTPYa/cWtmtwzrDj86YtzWYq8UAYSmmjsv9+0rIVREYDPa0DXxYBXFos1XxBSRAFYt24d9u3bF+c1y5cvxxtvvIFVq1ahSZMmWLRoEfr27YsdO3agVq1a9tEZJMqRqD1QoFbsjkSMPuDMPyRQi/V9YymQvUSKfgTBuTGXAjB48GC1xUXbtm1x9epVbNy4UVkGevfujRMnTuDUqVNwc3OzH5knYcHA+c2aMnB+i1aYRyd7KU3muWUuFLu/wbbxWlZPUqYT0PobwO2F8iQIdq0AcDCnULu6vpxJuE6dOsiVKxeWLHm+1k2H15o1kSdPHvzxxx9mbXyKkiBHovaats91fYn1FRxMAejVq1esS3rXrl1D/vz58eeff6Jly5bq2JUrV1CwYEFlEWjVqlWKtNMihDx+kWiMZblfSjTW4XmiMR8g7KlWx4O+BaTOh0DdDx2nTolgNyRUnhLtgXb48GG15k8tn2a+f/9ljL1GVFQUDhw4oAb8mErB/v37YddwUM9fHWgxDRh+Fui5BqjYS7MEBN8DDv4I/NwM+KqUNutfPUDrLBjr23udJPoQ7Jrhw4cje/bsyJgxI/r06YMHDx4Yz+mybSr3BQoUQL58+exf7hkNVK6LZr0beR5o/TVQqJ6WtZNRRH99AswsDfzUCJjfRBv8XdyB9j8C9cbI4C/YNIlSAKjRb9iwQa3t379/H5UrV0bjxo1x/vx5dZ5OfyEhIciWLVu013Gf18dFaGio0lhMN5vGxVXzAWg9Gxh5AXhjOVCum7bGz2WCs+u062qNADr+LIk+BLumc+fOOHv2rHICpsJ/6NAhdUw3HlK2aQ2kcpBQubc7mSdpMwMVewI9VwMjzmvOvPmp9KTS8ovcOQ6kyaxNDsp2tnZrBcG81QC5tq9Ds8Ls2bPVksAvv/yCyZMnI9VzU1dkZGT0CLiICBUtEBdTpkxRzoV2CR0BmXucGx2JLm0Dzm8CCtYBynS0dusEIdlMmDDB+P/SpUvj66+/Rr169XDmzBmULFlSyT2tf1QI9D7gVXJv1zJPvLMBVfppm0o0tlorT15zmP0UIROcnmQFobu4uKBQoULw8/NT+1wf5Hb37t1o13GffgFxMWbMGLVWoW/Xr1+3zy+Gjj6MEqCZUAZ/wUHRPft1uc+dO7dSAEyXBV4l9w4j84S1RV4bCLT5RgZ/wXEtADE1/KdPn+L06dPKF0CHnv5bt27FsGHDjMe2bNkSbwSAh4eH2gRBsC1iyjw5ePCgcZ2fVK9eXU0GKPfdunVTxxgBcOfOnTjlPikyz7bQqhDTwijYBnQM5+9AcFAFgOv9AwcORIUKFZS2P27cOISFhaljOh9++CHq16+PGTNmKO9fLg/QR+D333+3RPsFQbAg27ZtU7JLxz8fHx81+A8ZMkR5+3M5QF/rf+edd/DBBx8oawC9jwcMGKAUg7p165qlHexnbt++rSYdgm1CRTFv3rzw9va2dlMESygAs2bNwqRJk5Sgp02bFlWrVsWxY8eUt68ONX7mAOB106dPV+bCzZs3q7VCQRDsiwYNGihHvk8++USZ/NnBjxgx4qWcADNnzkSmTJlUMiA6+DVs2BBffvnlS9aDpMDlhcuXL6vZJRUMd3d3s9xXMB+0zvB3woRR7PPFEmAfOG45YEEQ7EaW4msnI4uoADDXACcegm3CKBE9/4Np1kjBgfIACIIgWIP4IokE6yNWGftDJEoQBEEQnBBRAARBEATBCREFQBAEwUJUrFhROUNaGoZkshCTICQGUQAEQRAshL+/f4qELjIsm9EXgpAYRAEQBEGwEq+//jqyZs2qCi2VL19ehVsy6sGUnDlz4ocffkC7du1U5tUqVaqomiymVobg4GD07NlT3atUqVLqeEBAgMrRwtfQQsCy7DGztL7q3uTXX39VId+MwmjatCn27Nlj0Wci2GgeAEEQBFuA0cvPwq2TETCNm4vZPN5ptmd2Q+Y6YMK0QYMGqcGcidRMZ/dDhw7Ft99+i2nTpqmy6m3atMHRo0fVYM9kTUzSNGfOHDRr1swYLdGxY0dVuG3ZsmWqWNP777+vEjixYqve/lfde/fu3UqJWLRokVIOzp07p8rCx1QSBPtEFABBEOwODv4lP91slfc+PaEJ0rqbp+s0raBIK8AXX3yBN998M5oCQJhgqXfv3ur/H330EbZv364Src2fP18lYCKsw0ILAOEsnddwwC5atKg6xkGcMfpUOpo3b56ge7PgE5ULWggIE0Ex06vgGMgSgCAIgpXYtWuXmpX7+vqqlMpdu3ZVs/KYfgNcKjClRo0aqt5CXBw/flwpFPrgrw/eVABivi6+ezdp0kT5MTAj5Ny5c3HhwgWJ93cgxAIgCILdQTM8Z+LWem9zwOyGHGDHjh2rzO+ZM2fGoUOH0KJFC1X7wDTrIU34pnCf18QFlxVYnCcmPBYeHv7SveK6N2f/Z8+exYoVK5RlgLVe9HTvsd1fsC9EARAEwe7gGra5zPDWYu/evcp8T7O7qVIQG6y5wjV9Ha7RFytWLNqgTT8CHZ5j8SRWZKSjHwkMDFT1HExfl5B7Z8mSRRV74sb70ZLw119/RVtGEOwTWQIQBEGwAvSqv3fvnnK0I6y0SAe72KCT3v79+5Xz48qVK7FmzRrlMKiTJ08enDp1yrhPkz2d+HgNHQG5pEAnwFy5ciknv4Te++eff1a+AMwpT2gNoKLB+wgOgMEGefToEQsUqb+CIDi+LMXXzmfPnhlOnz6t/tob+fPnN6RJk8aQJUuWaNusWbPU+Y8//lid5+bj42MYNWqUeg4BAQHGe7i4uBhGjx5tKFasmMHT09OQPn16w1dffRXtfZYuXarumyFDBkPJkiXVsQsXLhjq1KljcHV1Vdtrr71mOHHiRLTXveret27dMvTr18+QMWNGg7e3tyFPnjyGb7/9NtbPas/fk7PKvVQDFAQHxpGqAdpjlTnG4kdGvhyu6OXlhTRp0qj/c0bN0D968XPtnqZ6mt31UD2a99etW6di8Flxj+WQ4yq3y+fIe9CfwPT5cXavv58pCb03X8/7xHYPR/ienFXu7XsRTRAEwYbRQ/Tig3H7HPz1AVkP5YuN+AZgEltnn9DBOL57Uxl51XsL9of4AAiCIAiCEyIWAEEQBBuG6XsttXxjyXsLto8oAIIgCDYM/QHs8d6C7SNLAIIgCILghIgCIAiCIAhOiCgAgiAIguCEJNkHgJmlWHEqR44cKFOmjPH4lStXcPHixWjXMmd0nTp1ktdSQRCszqVLl1Ssd7ly5VTxGtO0toxlN4V55GOmnRUEwQEUgHfffRcLFy5E27ZtsXz5cuNxHps6daqqHa3j7e0tCoAg2Dn3799H3bp1cePGDVUMhrKv06dPH/WXeeJ1eF4UAEFwMAWAdaVPnz6Nhg0bxnq+RIkS2Lp1a3LbJgiCjcBMcL169VJ14+PKVz948GC1CQmHz3TEiBEoW7asPDbB9n0AaN4fOXKkUgJilpHUYSlJFpdglSmmhxQEwb6ZMWOGkuvhw4fHeQ0L27C+PZcIqDAIwLBhw9CjRw+1sZreF198oWLvddiP3rp1Sx6VYPsKADuArl27YuLEiShSpEic1508eVItEbRv316Vovzpp5/ivW9oaKjKXWy6CYIQN2fvPEan7/bg6sPo6+6WgDXqWa/+119/Neanj405c+Zg1KhRqFixIipXrhytOp2zyjyXSugvxVz7lSpVwsaNG1G0aFHlSyEIiYFK9e8HrmHgwsNmU7ATtQQwevRo5djTr1+/OK95/fXXlSNg7ty51f7cuXOV5lu8eHHUrFkz1tdMmTIF48ePT2zbBcHpiIwy4Iedfvjqr/MIi4zCxHVn8FOvyhZ7P5aSpdL/zTffqJKzLFQTG+PGjUOnTp2UVZCv4f9ZY55WQBaYcWaZp3mfFgDCJZQCBQpg9uzZmDVrljrGYkEsuXv48GFVO2DAgAHRfCkIS/Ru3rxZFQ6qX7++er6myhiXEoYMGYKjR4/Gex+WHmbJXyolbFffvn3h4eFhPE/FhIoerRRcyn3rrbeMdQoE63H3cQhGrziOv8/dV/sbT95B8zK5Us4CcODAATWYd+nSRa3vc3vw4IEy+/H/uqmfdaj1wZ8MHDhQ/ZBWrFgR573HjBmjqhbp2/Xr15P7uQTB4bjyIBidv9+LLzadVYN/wxLZMbl9aYu+59ixY1VlOVYWo5z/888/6vjx48eVZUCnW7duxiVBDhgc4Fk7/sSJE7He11llnoMtFYCbN28aj7399tvYt2+fGpD/++8/VK1aFU+ePDGep1WFigMVMFbaGzRoEPr37x/tvlxKaNmyZbz3mT59ulLK+F0yioN9MidstOwSPz8/VKhQQQ3+dOJmG6lsCNZl7bFbaPzVTjX4u7umxsfNS6BJqZwpawFgiUnO4E3N+dQWWcnq888/Vz/AuKpOsbrV7du34xUKUy1UEIQX0Ny3cN9VTN5wFs/CI+Ht4YpPW5VEp0p54zXJmytVLHPFU8b1foBw8GCpW5r6Y0OvaBeX3Cdb5mkCDX8Kq+CWluXxkvTSa9euKaWoWbNmxmOczevWgJ49eyJ79uzYsmWLWkKlz9VXX32F9evXo0mTJuoa9sO1atVSkysO2Am5z9WrV/Hhhx8qxUAP26Ylt2TJkmrGTyVkx44dymLw/fffG+95586dJD4kIbn4B4fhkzUnsf64JkNl8mTAjM7lUCSH+SwyCVYAqlev/pJnPzVODvqmYYDU5qlhmv6Ajhw5otbABEFIHLcCnynT364LD9T+64WyYGqnssibKW2KPMpPP/002j6XAGhepvleDwOkyZ/17TkZ0NmwYYNSTkxzhJgVDv6TX1gaU5SPbgHuXgm+nCZ3DuTMk/D333+rQdvUmbJevXrG/7PkLpdZdQsBc63w2eqDP6lRo4ayBvz777/RFID47kNFwMXFRVkB9PVj/qUvBpdpCL8rtpNh3LQU0NpAHy4h5dl25i5GrziBB09C4Zo6FQbXL4xB9QrDzSW1bRcDatSokRrs+cPkEgF/cNQqqa0KgpAw2Dmv/O8mPvvzFIJCIuDhmhpjmhVHz9cLIHVqy876EwtntBzQuM7NQefgwYMqaoDhbfnz54ezU7hwYdUnpk2bVvlKlC9fPtr5mJZTKlL0CyDsQ7kEE5tlhnkZEnoff39/pUjEDN1u3LgxfH191f+5ZPDnn38qCwCXcKjoMYpBQjtTjqCQcExcdxpLD91Q+0Wye2NG5/Iok/fFpNpmFAD+kGM6+Gzbtg3fffedWhLgD54/HpqXxMQvCAmDWv9HK09gy2ktXKy8T0ZM71wOvtm8rf4ImdWTfj40L5taB7k0OG/ePPz1119K4V+3bp1l149phudM3BrwvZPoBJhY8uXLp5ZROFPX+1AO6lxKSIxyRcWM1psWLVqogT0uaGngRmdDOh5y+YD+ANWqVUtS+4WEs+fSA4xadhw3A5+pFaZ+NQtiRONi8HRzgaVIlgIQW0IQOgDRaUUQhMSz6eQdfLzqBB4Gh8HNJRWGNiyK/rULwdXMpr+kwllkbEm+SpcurdaqUwz2kIkww9srnLHzmXNt/4MPPlDHfvjhB+W417x58wTfRx/42Tdzhs/lAMKoAVoKqKTs3LlTKQo0/fMY07fTsdNRQzRthZDwSOXY+/PuK2rfJ3MaTOtYDtUKWb5Us9mXAARBSDyPnoVj/NpTWHlEW7MtnjOdMv2VzJ1eHqcTkzFjRvz444/KqY9WFQ7I9PRnRFauXAkPA6NfFmf0jOJiemYO+AzXpiKwePFidQ0HfSoVVBQYycX6Dtxn+mfBMhy5FoARy47B776Wz6N7tXzKy9/LI2WGZlEABMHK7LpwHx8sP47bj0LA5f3+dXwxtGEReLhazvQnpAwzZ85EoUKF4jz/22+/qZA8UxhxQb8BHZrhORun059KBvP776oIW2LvQ+dBhvpxYKf/AJO5URHQI0kYXaCHd9J5+7PPPlOWHcH8hEVEYfa2C/j274uIMgA50nvgiw5lUbfYi6W1lCCVwQZzdtLkRI2VEQUMQRIER+RpWASmbDiLBfuuqv0CWdKqtf5K+V92+nJ0WYqvncwxwvTCNE3HFWosWB/5nhKexXP4H8dw+ra2tNKmfG6Mb10KGdO+nDDL0nIvFgBBsAKHr/pjxNJjuPJQi2Xv9Xp+jG5WHGndRSQFwRmyeGZK64ZJ7cqYJaNfUpHeRhBSkNCISMz46zx+3OmnTH+5M3jiy47lULOIljhHEATHzOI5YtkxHL4aoPa1LJ5lkD2ddS1aogAIQgpx8uYjNes/dzdI7XeomBfjWpdEek83+Q4EwQGJijJg4f6raqlPz+I5rlVJdEyBLJ4JQRQAQbAwEZFRmPv3JczadgERUQZk9XZXpj9z5fMWBME2s3h+sPw4/r1onSyeCUEUAEGwIBfvPcGIpUdx7MYjtd+0VE5MalcaWbyl9kVisUF/ZcEE+X5iz+Lp6ZYaHza1zSyeogAIgoVMf7/suaISfIRGRCG9pysmtCmtPH5twfRnTzD7IGEJW+a4F2wTvaqgnmTIGXkQSxZPFvApZANZPGNDFABBMDPX/Z9i1PJj2Ofnr/ZrFcmKLzuWRa4MMnglBQ4oTIjD0uOEKcZFibItmDqYuQX43ehloZ2NTTaexTM2nPObEgQLmf6WHrqOievO4EloBNK4ueDjFiXwRrV8MmAlE70qna4ECLYHMwmydoGzKWePnoXjs7WnsMoOs3iKAiAIZuDe4xB8uPIEtp/VBqjK+TOppD75szh+vvqUgIMKU9+yCFF4eLi1myPEAgvDmZaEdgZ2nteyeN55rGXxHFDHF0PsKIunKACCkEzWHb+FsatPIvBpONxdUmNE46LoV6sQXGzM4cdRlgOceY1ZsJ0snpM3nMHCfdfUfsGsXpjWiVk84660aIuIAiAISSQgOAyfrj2FP49pZWlL5U6vTH/FcqaTZyoIDsqhK/4qqc9VB8jiaX8tFgQbYMfZe/hgxXHcDwpVM/1BdX0xuH4RuLs6lwlUEJypbO9XW8+rdL4GB8niKQqAICQCOvf9b91pLDl4Xe37ZvNSs/5yPhnlOQqCA2fxHL70KM7ffeJQWTxFARCEBLLP7yFGLjuGGwHPQEfnvjUKYlSTYvB0kzVpQXCWLJ6T25VBYwfJ4ikKgCAkwPQ3dfM5zN99WZn+8mZKg6kdy+F13yzy7ATBQbnoBFk8RQEQhHg4ci1Azfov3Q9W+12r+GBsy5KqqIcgCI456/9171V86QRZPKUXE4RYOHvnsarbvfmUltIzWzoPfNGhDOoXzyHPSxAckMgog4roobn/8gNN4a9dNJuSe0fN4ikKgCDEMPvN3Hoe60/cVuZ+KvztKuTBJy1KIpOXuzwrQXDAuh2bTt1RCv+Fe5qTX2Yvd5XPo3tVx85smGQF4NatW1i8eDGKFSuGVq1aRTvHTF0bN27E1atXUaRIETRu3NjpMkQJ9sXVh8FK81995Cainheda1EmF4Y2LIIiOSSuX2fr1q04evQo2rZti8KFC0d7hrdv38amTZsQGhqKevXqqb5BEGw5dffWM/cw46/zOHP7sTpGc3//Or7oVb2AUyzzuSa18EP37t1x+PBhNGnSJJoCEBQUhPr16+PRo0eoVasWpk6diuLFi2PdunUqVaQg2BI3Ap7im+0XsezwDWUCJI1K5sCwhkXtIpd3SnLmzBn06NEDd+/eVYO/qQKwY8cOtG7dGjVr1kSGDBkwfPhwzJgxAwMGDLBqmwUhtoH/n/P31Yxfd/DjYN+3ZkG8VbMgMqSx79A+iysAEydORJYsWVCnTp2Xzk2ZMkV1EMePH1cVvG7evImSJUvihx9+wODBg83RZkFINncehWDOjotYcvAawiO1gb9O0WwY3qioxPTHQkhICLp27arku2/fvi9NCHjszTffxLfffquOzZ07F8OGDVOWAr2QjyBYmz2XHmDGlvM4dDVA7bNgV+8aBfBOrUJOucSXaLv8rl27MH/+fPz444+xnl+2bBm6dOmiBn+SJ08etGzZEkuXLk1+awUhmTBz34Q/T6P21B1YsO+qGvyr+2bBioGv49e+VWXwjwMO5lWrVkW7du1eOnfw4EFcuXIF/fv3Nx7r1auXWjtdu3at/GYFm0jf2+2Hfej+4341+Hu4pka/mgWxa3Q9jG5a3CkH/0RbAPz9/ZUJcN68ecicOfNL58PCwnDp0qWX1v64BLBly5Y478s1Q246jx9r6zGCYM68/d/v9MOve67gWXikOlalQCYMb1RM4vlfwcqVK7Ft2zYcOXIk1kp8XBogpnLPuvA+Pj7GczERmRdSgmPXAzH9r/Oqah9xc0mFblXzYVC9wsiR3tPpv4REKQB9+vRBx44d0bBhw1jPBwcHq/UVffavw336BsQFzYrjx493+i9DsEyt7nm7/DB/9xWVxpeUy5sBwxsXQ+0iWR3aw9ccXLt2Ta3j04fHy8sLgYGBL11D2fbw8ICnp2eC5V5kXrAkp249Umv8dPIjrqlToVPlvKpeR56MjhnSZ1EF4K+//lIevp9++immTZumjvn5+cHV1VXtv/POO0rrj20GT4dAdh5xMWbMGOU0pMPXc/YgCEmFg/3P/17Gj7v88DhEG/hL5kqv1vgblMguA38C+eSTT5A3b17s3LlTbfQFIGvWrDH6BVDuOaOnBdDU0Tc+uReZFyzB+btBKox3w4k7ap8VudtVyIshDYogXxZtfBKSoADkzp0b7733HgICNOcJQqGPjIzEnTt31F/OAvLnz6+WAUzhPsMB44Kv4yYIyeVZWCR+23sF3/1zCQFPNXN10Rzeyqu/SamcSM0eQUgwDRo0QLZs2ZSME32pjv3Aw4cPo5n+KeclSpQwXnfjxo045V5kXjAnfvefqDDetcduGfN3tCybW4Xx+mbzlocdB6kMtNknETr30ey3fPly47EhQ4aoHACMAuA5+g0ULVoUo0aNwujRoxN0X1oAGErEGUT69BKKJSQsX//i/dfw7d+X8OCJNkgVzOqlOgB2BCzZ64yYW5a4BJApUyasWrVKefiTiIgIZSXgEiFN+2TRokXo3bs3Lly4gAIFCqR4OwXn4Lr/UzXwrzpy0xjGy5z9wxoVRbGczpu/43EC5cnsmQ7Gjh2L9evXqxBB+grQC5hWAQkBFCxBWEQU/jh0HXO2X8Sdx5p52idzGrxfv4jK4OfqIgmoLA2XARn2x+UAWgrY8fz0008YN25cggZ/QUgstwKf4Wvm7zh0XVXpIw2KZ1cDf+k8GeSBJpBkKQDt27dXwm8KzYX0FmaWQDoQjRgxQnUMMR2EBCE5hEdGYeV/NzB720XcDHymjuXK4In36hdRzj5uMvBbBMoxZTqmaZ/hgZT71atXK/M/rYBMBCYI5uTe4xBl5aO1LywySh2rVSSr8u2pkC+TPOyUXAKwFGIOFOKCZr61x25i1tYLuPLwqbFQz6C6vuhaNR883Vzk4dmhLNlLOwXr8PBJqPLr+W3vVVWhj1QrmBkjGhdD1YIvh6Q7O4+ttQQgCJYq2LHh5G3M3HpBFezRC3YMrOOLHq/lRxp3GfgFwdEIfBqGH3b64Zc9V/A0TMvfUTFfRjXwM4GXhPEmD1EABJuGBqotp++qmN6zd7SYcubqfqd2IfSuXgBeTlCwQxCcjcch4Zj/72XM23UZQc/zd5TJw/wdRVG3aDYZ+M2E9J6CzQ78f5+7ryp1nbipFexI5+GKt2oVVEU70ns6T8EOQXAWgkMj1Gyfs34m8SLFc6ZTzn2NS+aQgd/MiAIg2NzAv+fSQ0zfcg7/XdOyzqV1d1Gzfc76M6Z1zpzdguDoYbwL9l5V6/wPg8PUMd9sXmrgb146l+TvsBCiAAg2w4HL/mrg33/ZX+2zYEfP1/NjQB1fZPGWRFGC4GiERkRiyYHr+GbHRVWoi+TPklbl72hdLo/T5u9IKUQBEKzOjYCnGLPyBHZdeKD23V1So3u1fHi3ri+yS8EOQXBINp64jYnrTuPWIy1/B3P0v9+gMNpXlDDelEIUAMGqHLkWgLd/O4QHT8KeF+zwwXv1CyO3FOwQBIdd5vtm+0VVpY/kTO+JQfULo0tlH7i7SuKulEQUAMFqbDhxG8P+OKriekvkSo+5b1REgaxxF40SBMH+Tf5jVpzAyiM31X7fGgXxQdNikr/DSogCIFhlBjD3n0v4ctM5tV+/eHbM7lYB3hLSJwgOS0BwGPovPKx8fbi2P751KZXDQ7AeogAIKZ67f+zqE1h66Ibap3f/Jy1LirOPIDgwlx8Eo+8vB9VfhvPOeaMiahfNZu1mOT2iAAgpxqOn4Ri46LAK86Nz77hWpdCruhSLEQRHZr/fQzXzD3warhz95veu4tSV+mwJUQCEFOHqw2D0+eUg/O4Hw8vdBV93r4D6xXPI0xcEB2bF4Rv4cOVxhEcaUM4nI37qWVnV7hBsA1EABItz6Io/3llwGP7BYapi37xeVVAytxR8EQRH9vNh+u7Z2y+q/eZlcmJ6p/JSs8PGEAVAsChrjt7EqGXHVelO5vKe16uyxPYLgoNn9Ru1/Dj+PHZL7Q+s64tRjYtJNj8bRBQAwWIzgNnbLuKrrVqsL/N4z+xaHmnd5ScnCI5ctpd5PZjGm3k9Jrcrg85VfKzdLCEOpDcWEjSYR0REIDJSK8f5KsIiIjF9y3lsPXMXedK5oHNlH7xdqxBSR0UgJESr7CWYBxcXF7i6ukqRFMHqXLwXpPx8rvs/Q3pPV3z3ZiVU981q7WYJ8SAKgBAvYWFhuH37Np4+fZqgJxUVZVDFPGrmNKBWzuzImNYNXh6pcfXqFXnSFiJt2rTIlSsX3N2lUJJgHXZffIABCw8jKCQC+TKnVZ7+hbN7y9dh44gCIMRJVFQULl++rGaZuXPnVgNMqlRxF+cIC4/EzcBnyOAVhdSpUiF3Rk94eUjZXktaZqig3b9/X31PRYoUQerUkkpVSFn+OHgNH686iYgoAyrnz4QfelZGZi9RRu0BUQCEOOHgQiXAx8dHzTLj40loBK4HhSIylSs8PFKrlL6ebi7ydC1MmjRp4ObmhqtXr6rvy9PTU565kCLQ2vfl5nOqhC9pUz43vuhQVuTejhAFQHglr5pVMryPM3/OSOnkx3Kebi4yE00pZNYvpDTPwiIxfOlRbDx5R+2/36AIhjUsIr4odoYoAEKS4YB/93Eo7gVp5TwzpHGDT6a0Eu4jCA4M5f3tXw/h2I1HqnT3Fx3LoF2FvNZulpASCsCBAwewdu1aPHjwAEWLFkXPnj2RNesLT881a9Zg2bJl0V7j5eWF77//PintE2zY/Hcj4CkCn4Wr/ezpPJAjvafMAByQ8PBwJdN79uxRfiDVq1dHu3btlG+IzgcffIBbt7S4b53GjRur/kFwHM7dCVI5/Wnxy5TWDd+/WRlVC2a2drOEJJIoO+348eMxevRopEuXDuXKlcP69etRsmRJ5YCkc+LECezbtw9NmzY1bg0aNEhq+wQbJDwyCn4PgtXgT6fAvJnSImeGNDYz+IeEhKBhw4bYtWuXRd/n7t276n1iDnyORuXKlfHXX3+hVKlSStkfMmQIOnToEO0aTgqoEJjKfYkSJazWZsH8/HP+PjrM3aMG/0JZvbDq3Roy+DuTBaBfv34YN26ccf/tt99Gnjx5sGTJEowZM8Z4nJ1Ejx49zNtSwWayfF15GKyq+rGkZ/7MXvD2tK2VJOYs2LZtGwYMGGDR93n27Jl6n4SGSNorGzZsUHKuU758ebRo0QLXr19XDqI6VapUEbl3UBbsu4rP1p5CZJQBrxXKjO96VELGtOLpb+8kquc27QSIv78/goODo3UC5ObNmxg4cKDySK5atSq6dOkijkoOQFBIOK75P1WdgLtrahTIYp+e/oxsoHmaMIlO/vz58eabb6JmzZrGazi49enTB9OmTcPChQtx/vx5FC5cWCm62bJlU1YGXcnt1auX8savWLEivvzySzx58gSzZ8/G3r17VfREmzZt0L179wTfW4cWtqVLl+Lx48dqcOXMm8tpKU1Mub9x4wa8vb2RIUOGl6wAR44cQd68edVn5vMQ7BvK+uQNZzDvX83K26FiXkxpX0bJv2D/JPpbpPCz4+MaIAV87Nix0To3moHLli2rlgYyZ86M4cOHqyUAzsriIjQ0VHVypptgWzwMDsWVB08REfk8xj+DJ6IMBjwNi0iRjQ6H5oK/0Q8//FBtHFSpwDZp0gRbtmwxXkPFlrN7mvizZMmifvOHDh1CnTp11Jo4Q++o5JL+/fure3Xr1k21s1GjRmrNnPtUKnjdZ599luB76740Xbt2VeZ3KguUEWuup//xxx+qnfXr11fKDZWT9OlfFHTismDx4sWVosIJwGuvvYY5c+bEeT+RedsnODQC/RccNg7+o5oUw7ROZWXwdyASbbuloHN9LzAwUG2//vqr6ug4iyLvvPMOPv74Y+P17DS4dvjTTz/FaZKdMmWK8i8QbA+Ou/T6DQzV9j3dXNFk5s4Ub8fpCU3MVkeACgAHX51mzZqpAWnmzJlGy4AOFVh9eYvXUVlYsGAB+vbtixo1aqjjdIrjDJ5wxn706FFcuXIFOXJo5Y45yL/11lsYNGhQtBl+fPfesWMHmjdvjvfee0+db926NYKCgmAtihUrpp4RPxcdetnO2rVrR1smMP1sVAZGjhyprH+mTsI6IvO2zZ1HIXjr14M4deuxGvCndyqHVuVyW7tZgrUtADT7cVAfPHgwtm7dqsz8prMb006AFCxYUFkKGD0QF+wEHz16ZNxoIhWsT0hYpIrxDwgOU/v08s+byTESzdBZdejQocpUTWVg5cqVuHhRK11qCgdmU+WXg97+/fvjvC/PcRasD/6E78Elg2PHjiX43lQqOMuePHkyjh8/riwLvMZacN2fFohPP/1UDfZU6GnFiEvuO3bsqD4z2x4bIvO2y6lbj9B2zm41+Gfxcsfvb78mg7+DkqwpFb1+6enLWUF80OQZHx4eHmoTbId7j0MweulRdC+ZBulTpYJP5rTIlNZdDUScjac0aczoa8AZ+uuvv66sVRzUaMretGmTMnPHJOagy31avuKC50xN44R+APQ1iPm6+O7duXNnZMyYUfkIzJ07Vy2hTZo0SVkHrA2X95h8KD65F5m3T7aduYv3fj+Cp2GRKpf/z72rKNkXHJNEWQC4rmm6Fnvt2jVlBeBsRYcmUNNrVq1apTrcli1bmqvNgoU5e+exmgGcvxsEl1RA3kxp1OCvm89pik/pzZwhhvxNUgGYNWuWCmfjmj3X9GPjwoULL+3TqhVXBr5ChQoppz5TLl26pAZw/XUJuTfhcsRvv/2mLGITJ05UUTfM+5+SnDlzRllLTPnll1+UjHOdn5w9e1bJuA79GP73v/8p079+jWDb8Puc/+9lVcqXg3/NwlmxYmB1GfwdnEQpADt37lTJf2jSZOfE2T+dgj766CPjNUwWwqIkvIZrpG+88YZa32/fvr0l2i+YmR3n7qHj3L249ShExfdnS+dhtrV3W4Ge9FReGcZHzp07hx9//DHWa+nVT1M2oUmeznr8TZuave/c0dKhEvrDMC8/18j1iAOGztIxtkKFCgm+N19vml+DPja8V0rDJT767nBZg2b9SpUqqVwgtErQt4cwAoL+DXRYpHMw+4iDBw+qZZVX1ZAQrA8de8etPYUJ604jygB0q+qDn/tUUZk9BccmUT37119/rUrDHj58WM2YuA6YL1++aNfQkYodBK+h8JcpU+al9UFHD5vZef4+DDCgaI50yJPRdhLkvIoFe6+ojoCdAGN9Z3cqhYd3bsJemTBhAr777rtox2hG50yapnVfX1/leMe1f4arxpzpElZB5Kycf0+ePKlez9+0PvDpETE8xgGQgzoHx3fffVeF+dGkT0vB6tWrX7IYxHdvOg4yMoFLB1xS4Eyc905pWWL7du/erfwX+Jzo20B/AIYBmion+jV+fn5qQsBEYc5UnvjBk1DsvfQQuTJ4okiOdHYzeDK0lyb/v8/dB7upMc2K4+1aheymzxKSRyqDOeOrzATDAOlsSIfAmOuptsy1h08xctkxHLjibzzm7eGq1tKK5UiHojnTaX9zeKuZta0IGZWWSevPYP5ubcbZsVJeTG5XBlERYWoWykHAnqrMRUZGKi/62ODgRdM0TfIcdJnEp3Tp0mrNmqZ6PRcAzdq0cNH8Tv8UmucLFCigBuuY0ILAbIBcs9dn+fTYpwMclQQOhqZpcxN6b874eS3zCtALP2bcvQ6tCHF9T/YiS/bSzthYd/wWxq4+icCnWggn0RWBYjm81USAW5Ec3jZlTWNGv7d+OYizd4Lg6ZYaM7tUQNPSOa3dLCEF5cl2fo12DHWoxQeuqUGU62dp3V1UURy/B09Umdyj1wPVZkrGtG7PO4bnysHzLVMK19FmrO+QJUew9cw9Y6zvu3V9lXISEnfqBpuGg61pmF9scGZNZUCHQpIrV65Yr+WsO76ZNwdnbjEd+vQwwfiI7960GNDhTrBNAp+G4ZM1p/DnMS0VtE/mNIiMNKjls9vPN1oDdajvs18wyn1OTeYLZfOCh2vKJtQ6fiMQb/16CPeDQtVkZF6vyiibN2OKtkGwPqIAmCFedvSK4ypPNmFhDMbM0nOWOfOvPAjGubtBOH/3Cc7f4d8glUqXs4UDl/3VZgqF8YVC4K2sBkWyeyOdp/lNircfcQZwCKdvP4aHa2rM6FweLcrGPggKghDdV2b08uO4FxSK1KmAQfUK4736RVTM/OOQcFy4G4Rzd54oede3B0/CVCZNblvP3DXeiym1C2RJa1QI9I3HXC1QVnvTyTsY+scRhIRHoXjOdJjXu4paqhScD1EAkjHrX3vsFj5ZfRKPQyKU4H/QpBj61ihoLIfr5pJamQG5xcynf+m+1jmwk1Cdxd0g3Ah4pjRybv9efBDtNRRQXSHQFQQuLSQ1Fe/Jm49Uog+W883q7Y4felZGxXyZkvo4HA76trAAjiXW3C15b8Gy0KI3af1p/H5Ay1XC2TsV/gomspPe0w2V8mdWmykPn4RqEwETpYDV9dh/XLofrLYNJ144lLLULu+vKwa63DMqR+9jEttn/bDTD59vOqsSfNUtlg1fd6tgkcmFYB+ID0ASoCBzzW/jSU1Yy+TJgBmdy7000CfFHH/hnmYp0KwG2sZBOjbYB+TP4qUpBs87B3YWzNEfX67uv07fxfu/H8Gz8EhlXZgfR6xvfGvLgu0gPgApw36/hxi5/Biu+2vRI31qFMAHTYojjXvSzfcclGlFoCKgKwTn72mTAi4nxpUTgzKv+Ri88C3KkT5uvyJaIz9dc9KouPR8PT8+bVnSIhYGwfqID4CF4OA5ZuVxZc5zTZ1Kmf3ereerZvvJxcvDFeV9MqrNlEdPw3H+3vPOwWTmEPA0HJcfBKtt86kXJkW2izMHfdagOoqc6ZAvc1r8sucK/rf+tJoB1CqSFd90r2g3HsuCYA1osZu2+Rzm7b6s5IbWuKmdyqK678spjhMLB2xm2ORWu+gLi1BUlEE56SlZp8yrScETZTmk4n7sxiO1mZLO09WoEBTN/sJayEF+0KL/lFWRk4ZPWpZEnxrRc1IIzoksASQQrutN+PM0lh++ofY5c+aaeZm8sXtmm5MMad1QpUBmtZnOHKiExDQnXrj7BEGhEc9NjU+wDrejmRTDIrVY8m5V82FCm1JmUVwEwVGhs9zwpcdw8d4Ttd+lsg/GtixhcbM5Tfy0ynFrUCJHtJj9q/5Pn/sTPV9GvBukJgFBIRE4dDVAbabock/nZJr8Te8nODeiACSAPRcfYNTy40ojp4WNcbLDGxW1ailczhzoMMitRuGs0RQDeh+zUzB1RLpwL0g5/bD9HzUrgX61CtpMGKIg2Bo0mX+9/SLm7LiowmSzenvgiw5lrD54cjbvm81bbc20lBGK0IhIpQTokwB9CZEOhxz8c6b3xLzelVEqt+UnLIL9IApAPDwLi8QXm84qszmhCX1ap3LK099W4aCeO2MatdUrlt14nJ3YjYCnav0we3pZzxeEuODAOXzpUZy8qZUlZ2TM/9qUTvEQ3cTAMMLiOdOrLWYfdtU/WPkFWXPCItgmogDEwX/XAjBy6TH4PdAKGb1RLR8+al5CrdPbIww1osOgIAixQyV53r9+mLblPMIiopRvzMS2pdHajsvg0kExplIgCDr2OZpZEAr+rG3nMffvSyolLj1rv+xYDnVMHHQE+8bf3x/z589XOe5NU9oKzkvMLJ4MkfuiQ1nlnCcIjoooACacuf0Yw/44qlJjkrblc2N869LKCU+wH1iNjpX+dJgSkxn19Mx89+7dw6hRo9C1a1dRAJycmFk8vdxdlJd8lyo+4iMjODyiADz3rP1+px9mbj2P8EgDMqV1U7nwm5WRrHj2SGhoqBrgW7VqpSrTsZDOyJEjVdnqdevWWbt5gg1l8fxgxXFjul7TLJ6C4Aw4vQJAz1k6/By5puXqb1giB6a0L6O86wX7pmfPnqqELRk8eDAqVqyIZcuWGWsAcPb3999/q4I7LMbD6nsxIyP+++8/7N27V1W2ZAnsPHnyvLSU0L9/f1X9Mr77sEre9u3bVX7/atWqGUvpmt5r8+bNKoEHqwqy7K5gGfi9rzl6SyXGiSuLpyA4A04bBM5EG7/uuYJms3aqwT+dh6vy8P+xZyUZ/B0QVuljgR4O0jpUDj7//HMcPXoUvXr1UgqDKbQa1KlTB/v378fy5ctRuHDhaBYEfSmBhYfiu89XX32lBvR//vkHe/bsQe3atTFx4kTjeVYlZLZFlihmSV2WEh4xYoRFn4ezwiye7y76D0P/OKoG/7J5M2DD+zXRr1YhGfwFp8MpLQCM5/9g+THsvvhQ7dconEU5+klBjATAVGjhT5HiuKXVyqklEdayZ4leztB1mjZtivHjx6v/c+DmEsHkyZPh4+ODAwcOYMaMGdi1a5fRd4B17uk4yPK9LPObkPvQgjB27Fj1V68YSMWCJYI7dOigfBN+/fVXpRT8+eefxnvu27cvyZ9VSFgWz/cbFMHAuubJ4ikI9oirs5n+mMmPGf2YLY81sMc0K4E3X8sv2n9C4eA/2QphUR/dAtwTF8bIAfXKlSsICAjAggULlBWAjn88Rrp06WK8lmZ3wtoHHLj5Wg7SpiV933//fUyZMgVHjhxRg7xOfPdZunQpsmfPjo0bN2LDhg3qN0gYfcBBngoAz69cuVIpCVymIK+99loSH5TwqiyezKPPLJ6l80hSHMG5cRoFgBX2xqw8YSzDWSFfRuXwUyibhIE5Khz479y5g/Tp02P69Olo164dXF1f/OR5XMfNTYv0CAsLU39v3LiBvHnzRrtfzpw51et5zpT47nPz5k24uLi89Jo+ffrA19fX6J9w+/ZtNGvWTF1LX4MPPvhAKQdC8rN4Mrzv1qMQZUB6p1YhDLNyFk9BsBWcQgHYeOI2Pl59Ev7BYXBzSaU6gP61fVVyHCEJpnjOxq3xvslwAkwsuXLlwunTp6Mde/jwISIiItS5hJIlSxZ4eHhg2rRpcV7D5QQuN1BJOXXqFKZOnYpatWrh2rVr8PKS5E3myuI5vXO5aPU0BMHZcejFL1bRG7rkCAYu+k8N/sVzpsPawTXxbt3CMvgnFU6jaIpP6S2F6xY0atQIhw4diqYE/PLLL8iaNasxiiAhtG3bVt1j/fr10Y5fvXoVgYFa5MmJEycQFcU6DalQunRp5SPAqID797XwNCHxWTybz95lHPyZxXPjkFoy+AuCs1gA/jl/Xzn63X0cqkpg0tlnSIOiKuRHEF5FvXr10L17d/W3d+/eavb/22+/qbA/RhMklLp16yrnQS4/8H709mdeAnr7MwSRMLKgR48eaNCggVpOoN8AlwFMHRaFV8OCOLO2XsB3/2hZPFkA54uOZSWLpyA4iwIQHBqByRvOYNH+a2q/UFYvTOtcDhXzZbJ204QUwt3dXYXR6V73sZnleT7mQM5j+fPnN+7TcZCOe8wDUKhQIRXrX6ZMmUTfZ9KkSejcuTM2bdqEp0+fKu9/KhNsJxkzZgzatGmjzj958kQ5GrZs2dJsz8MZs3i2q5AHn7UqJVk8BSEeUhl0t+QEplilGXTNmjV48OCByrL23nvvoUqVKtGuY4fJdUyaOYsUKaLCoGjaTChMhsL0rY8ePYrmYPUqDl7xx4ilx1QJTNK7egGMblpcFcQQEk9ISIjyZues1dNTcqLb4/eUVFkyhY6MTK3MHAZUWhgBMWzYMKUA6XAJ49tvv1WJlpiJkbkRaPlgAqWEkNR2xszimdnLHZPblUbT0pLFU3BeHidQnhJlD6dnMtczOegzuUmmTJlQs2ZNtVaqwxApmk2ZNGXmzJkq3InX6KFXliAkPFLN+jt/v1cN/oznX9yvGj5rXUoGf0FIJi1atFAZEKnU0z9hy5YtarnCdO5AJX/cuHEqidFnn32mwho7depk0Wfvd/8JOn2/F1M3n1ODf6OSObB5aG0Z/AXBEhYAhjbpZksdhkoxFeonn3yi9mnepAPTjh071D5vX7x4ceVU9c0335h9NnDy5iOVyvf83Sdqv1OlvPikVUmk95QCPslFLAD2gaUtADHlnr4LVPKZ3pjvSWfGHDlyKAvAW2+9pa5hIiWmPKY1MCE5DRLTTmbxXLDvKqZsPIOQ8CiVxXNc61LoUDGPFPARBCRcnhLlAxBz8OfMn57KVatWNR7jwM81TR16Njdv3lzNGsxJeGQUvt1xCV9vv4CIKAOyenuoHP6cBQiCYD5M5Z6mfvoqUPHPnVtLCMWlASoJlHMd9gnZsmVT/YE5kxpJFk9BsKITIFOqMrQpODhY5UL/8ccfVfETwmNMvhIzTpr7169fj/OeXDPkZqq9vGrdj+Z+vYBP8zI58b+2ZdT6nyAI5ofLeT/99JNKrMTMhbQCML8BoWyzyBGtADETJ8Ul94mVeXLkWgB6zjtgzOL5UfMS6FFNsngKQlJJdEwc05suWbJEeUjT3Ed/gIMHD6pzTJISm6WAHQUdCOOCXs80V+gb3yM+XF1So4ZvVmRI44ZZXctjTveKMvgLggXp1q0bFi9erMIgmZyISZZ0mabcM4MhlYCEyn1iZZ6UyJUe2dJ7oGK+jNg4pDZ6vl5AUngLQkpaACjUukc/nftYyYyV0FasWKHCoTj4M2baFO4zgUpccMlg+PDh0WYDr+oQWMjjzdfzI0d68U63NDT7Cs79/XB2z61s2bKq3gGdApm/gPkNGA3AgZ7FlkxDIuOT+6TIPNP3LupXDdnTeUoiL0GwhTwAFH6a/QlnAMySxvKpAwcONF7DNcL46ptTqdDNiQmFCX1k8LcsVOb4nd66dUut53I/Zp17wXrQwZZr7/TD4fcU0/JmKTJmzKjejw5GRJdtyj3D/whrGzAMOC65T4rMk1wZXlRhFAQhBRWATz/9FEOHDkXmzFo+7b/++kulOKUFQIcRAayaxqUBCj+d/7heuHbt2mQ2VUhp2MnTy5udOZUAwTZhrH2+fPleMsGbA1YsZIQBExnRzM+IA8b3c/DWB3vm+mBUwIQJE1T1RJ5jVBB9fxhCKAiCAygA9PxliVR2NM+ePVMzECoFHOx1+vbti3PnzqmOQLcOcL3P1ENYsB84q+TgwnXeyMhIazdHiAEHZVYotJRlhoM71/0HDBigrEBUBkuVKqXKG5tWS1y4cKGK+6fJnwoAJwmrV69WhY4EQXCAPAA6LG3Ksqf0Bo6r4+F6ID2GuVaY0Gxg5oxdFgTBfLLENX5WJ6QfAJN7xQUtRfTuZx2DxCglIvOCYON5AHRi1kmPDToDJaZoiiAItgsVfl9f31dep+cGEATB9pHSeIIgCILghIgCIAiCIAhOiE2WA9bdEhKSHUwQhLjRZSgJrj4pisi8IKS83NukAkAHQpKQ7GCCICRMpugUZKuIzAtCyst9kqIAUiKzGb2J6URoj4ln9KxmzIMuUQzyzKz5G6N4sxOgc54l8gSYC5F550P6SevLvU1aANjghEQa2Dr8gkQBkGdm7d+YLc/8dUTmnRfpJ60n97Y7JRAEQRAEwWKIAiAIgiAITogoABaAqVDHjRuXpGInzoo8M3le9oz8fuWZ2ePvzCadAAVBEARBsCxiARAEQRAEJ0QUAEEQBEFwQkQBEARBEAQnxCbzANgrEREROHr0qCqDXLRoUbUJCSMsLAyrVq1CpkyZ0LhxY3lsr+DJkyfYu3evip+vUaMGPD095ZlZCX9/fxw+fBiurq4oX768+g0LCeP8+fP477//UKlSJRQpUkQe2yvw8/PDyZMnUahQIZQuXRrJhk6AQvJZuXKloXDhwoZKlSoZWrRoYciQIYOhXbt2hpCQEHm8CWDo0KEGd3d39fyE+Fm8eLH6fb322muGli1bGsqUKWM4c+aMPLYUJioqyjBgwABD7ty5DY0aNTLUqFHDkC5dOsO8efPku0gAgYGBqs9MnTq14euvv5ZnFg8cR9588031++L4Uq1aNUO3bt0MyUUsAGaCwRTbtm1Dvnz51P6NGzdQrlw5TJ8+HR999JG53sYh2bBhAzZv3owePXrg2LFj1m6OTbNv3z71nH7++Wf07NlTHbt69SoCAwOt3TSnlHnK+KxZs+Du7q6OzZ07F/3790fDhg2NfYEQO++88w7eeOMNTJs2TR7RKxg2bBj+/vtvnD592pgld+3atUguEgZoQZo3bw5vb28sXbrUkm9j17DmQ5UqVbBu3TrMmzdPDXCHDh2ydrNslrZt2+L+/fvYvXu3tZsixMK9e/eQI0cOrF+/Xsm/EDs//PCDUmJ37dqFjBkz4vPPP8fgwYPlccUC5T1PnjyYM2cO3n77bZgTcQK0YNGGgwcPmmedxkFhARjOZocMGYIKFSpYuzl2wc6dO5WPBBWnNWvWKD8A+k8ItsHWrVtVAbOSJUtauyk2y6lTp/DJJ59g4cKFym9CiB/KeHh4uJJ7jil//vmn8p0wB/L0LWQa7Nevn3LMEq02biZNmqSe1ciRIy3xNTgckZGRCAgIUA5nnD2VKVMGZ8+eVc+QykCpUqWs3USn5sqVKxg6dCgGDhyIAgUKWLs5NsmzZ8/QpUsXNeP39fW1dnPsxqpEpXLUqFG4cOGCqvDHiUDr1q2xYMGCZFX5FAXAAgwaNAjbt2/Hjh07kDlzZku8hUN0lhMmTMDkyZONSyT8cXOAW7JkCerXr4/s2bNbu5k2hYuLi5ox0Wv6xIkTytuckSc0NQ8YMECZUwXrQItMo0aNUK1aNcycOVO+hjigTxSVgDRp0ig5J/wN8zfNmW2rVq3k2cWAE0kq+VmzZjX2lefOnVMRJ+wn33rrLSQVUQDMzHvvvae+JDoEcoYmxA412g4dOqjZLDdy+fJlpQCsXr0aZcuWFQUgFhj+U7VqVWOoGRWCNm3aqNmBYL3Bv169eirsd/ny5XBzc5OvIg7oGEmfH8q4qWWLzr9eXl6iAMSCbilhf6lTrFgxtbzMvlMUABuBa9m///67Wgekd7AQN/nz5zfOAHS4XEInwJjHhRdwhkTznylnzpyBj4+PPCYrcPv2bTX4Fy5cGCtXrpQCYK+AkSt69IoOHaX79Okjy6VxQIUpZ86carmvQYMG6hitKIz+ad++PZKDWADMBM3Zs2fPxocffqi+KG4kW7Zsxi9NEJILf18rVqxAp06d0KxZM7UU8NNPPymHKiFlCQ0NVbLNEMzOnTurRFY6tNLQWiMIyYVWPo4tjAB48OCBigjg2j8tJgw5Tda9k906wbhOQ+cWmrG56RQvXlwUgATCbGAZMmSQX1Q8cB2QZr/vvvsO//zzj3IIOnDggFoyEVIWRl/oz33jxo3RzjEUUBSAhNGxY0fJmvoKqPBz+WTx4sW4fv26Cgemo3m6dOmQHCQPgCAIgiA4IZIHQBAEQRCcEFEABEEQBMEJEQVAEARBEJwQUQAEQRAEwQkRBUAQBEEQnBBRAARBEATBCREFQBAEQRCcEFEABEEQBMEJEQVAEARBEJwQUQAEQRAEwQkRBUAQBEEQnBBRAARBEAQBzsf/ASQOnvgPxOIkAAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 600x300 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "month = np.arange(1, 7)\n",
    "laptops = np.array([30, 34, 33, 38, 41, 45])          ### units sold\n",
    "phones = np.array([52, 50, 55, 58, 57, 62])\n",
    "\n",
    "fig, ax = plt.subplots(1, 2, figsize=(6, 3))\n",
    "\n",
    "ax[0].plot(month, laptops, label=\"Laptops\")\n",
    "ax[0].plot(month, phones, label=\"Phones\")\n",
    "ax[0].legend(loc='lower right')\n",
    "ax[0].set_title(\"loc='lower right'\")\n",
    "\n",
    "ax[1].plot(month, laptops, label=\"Laptops\")\n",
    "ax[1].plot(month, phones, label=\"Phones\")\n",
    "ax[1].legend(loc='best')\n",
    "ax[1].set_title(\"loc='best'\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "fef4cc40",
   "metadata": {
    "tags": [
     "thebe-interactive"
    ]
   },
   "outputs": [],
   "source": [
    "### Exercise: Label Two Products\n",
    "#   1. Create month = np.arange(1, 7),\n",
    "#      tablets = np.array([18, 20, 19, 23, 22, 25]), and\n",
    "#      watches = np.array([12, 15, 14, 16, 19, 21]).\n",
    "#   2. Use fig, ax = plt.subplots(figsize=(4, 3)).\n",
    "#   3. Plot month vs tablets with the label \"Tablets\" and\n",
    "#      month vs watches with the label \"Watches\".\n",
    "#   4. Show the legend in the upper left corner (loc='upper left').\n",
    "#   5. Set the title to \"Units Sold\".\n",
    "### Your code starts here.\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "### Your code ends here."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "0818905d",
   "metadata": {
    "tags": [
     "hide-input"
    ]
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 400x300 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "### Solution\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "month = np.arange(1, 7)\n",
    "tablets = np.array([18, 20, 19, 23, 22, 25])\n",
    "watches = np.array([12, 15, 14, 16, 19, 21])\n",
    "\n",
    "fig, ax = plt.subplots(figsize=(4, 3))\n",
    "ax.plot(month, tablets, label='Tablets')\n",
    "ax.plot(month, watches, label='Watches')\n",
    "ax.legend(loc='upper left')\n",
    "ax.set_title('Units Sold')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6129ca57",
   "metadata": {},
   "source": [
    "```{index} axis range (set_xlim and set_ylim)\n",
    "```\n",
    "### Plot Range `set_xlim(), set_ylim()`"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9ce1a81b",
   "metadata": {},
   "source": [
    "You can set axis ranges directly with `ax.set_xlim(...)` and `ax.set_ylim(...)`. The three charts below plot the same daily sales:\n",
    "\n",
    "- **Default range:** Matplotlib fits the axes to the data, so the y-axis starts near 38, not 0.\n",
    "- **Start at zero:** with `set_ylim(0, 80)`, the promotion spike looks like the rise it really is: the peak of about \\$75K is nearly 80% above a normal day of about \\$42K.\n",
    "- **Zoomed in:** `set_xlim(14, 22)` and `set_ylim(30, 80)` show only the promotion week.\n",
    "\n",
    "Axis ranges change what the reader sees, not the data. A y-axis that does not start at zero can make small differences look large, which matters most for bar charts."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "a989d87c",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-08-31T18:39:32.300480Z",
     "iopub.status.busy": "2026-08-31T18:39:32.300406Z",
     "iopub.status.idle": "2026-08-31T18:39:32.411415Z",
     "shell.execute_reply": "2026-08-31T18:39:32.411144Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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9ZhN0v3jxotw/gjZZqX98/PhxVCSUuhJEEUBRAcAHW494dvn84uIiKhqeObDlIEbZcENDQwgiioZXNh4eHob7ES+SxK9/29nZifJqdHQ0mpubizY3N8Oru4reLx8cHITtFK9evQoJy9te8yAD7Y6Ojmh9fT3sIwCZOLJweX4H4l3dZ/ZlfP/+vfy9tbW1qLGxMbcPVlZBNu8aJMiuqan57Rrb782rA5LBTLwqQadPcg2UuvGOy2Qp4Pn5eXjfY9H6BdoX79M9PT298twycSrye8Wz1t7eHrL8lBbG+JyJ2bNnz+70Z7vPWElcXFwMQTYJszTb782lg0POUaEPiPvH+L4SSFJlBc604Oui9Y/xyn/yg6ooxhA+Tyd+ioCgirLg5FyP1UreZZ9sQ0XBlgvO2kifacLX6W0tefHx48cQKBJkU9WRRv/B70+lQ3Jewao/ix55c3R0FALonp6ekHy47TV/cm+XhoeGhkKHyH98V1dX9O3bt+jXr1/R+/fv7/pHe1BITjDY0plyEAb3lFKzzs7O8PdkxBmE2V88MDAQDsf48uVLuN+qjMNVdnd3o+np6SuZTzoiyrBg+715drmtrS0kMMiwUxa5vLwcMqwcUBJjkCDAqaqqCkHlwsJC1NraGiZRRcIz+/z58/Bnf39/WK2hFIwBVNfHaiD7OFnZoJ+My3LZp8ckjP1pIyMj0eDgYAh0KM2dmJgIgWSyFFr/mJ2dDfeI8sufP3+GD7DvkTZr+72d7u7ukABnjKGtUhL948eP6PPnz+VrhoeHQyKI8ZwVXcr2SQzn7XAnfv+4/Jm9o/R/PLsEkkVNgHGwFfM8Vt9ItMR9GXM8Dm8iYcjeUuZ59GUkHZjrkZTo7e2N8oZ+nf49Xqzj/vAsML9obm4ul1DTl1My3tTUFPasb2xs5HIcJfHJWNbX1xfuTdw+qqurQ5wFthBwCC3zMPrvs7Oz0L+QrMubUqkUft9Hjx5FLS0t5fsBAmvG/utccx1/cfR4dE+xokXjYDCpr68PdfG1tbV3/WM9KHSglEslEaQQxMTolDkMY29vL0wuydywcqjK6KgoHU1jEvn69evy17bfm2HCxMBPhQUTgydPnoSDWtKHThwfH4frSLyxMvHmzZvy/u0i4bllEGQvO/fr5cuX5QmErn/qLBPTtJmZmSurGpzQS4UVwyXJDYIYVTY/Px9OGU9jb+jk5KTt95ao6mOix73l4CoCA8ZqJspJHCTJWxuYJFOVxryJoCpviVn6/TQSs+Pj4xX/zdevX8O9I9jMI5LQVHelTU1NhflzjHuwuroaqsg4UZpENnPCvOGwQPrxNIJKnpsYwTgLSyT36fM5gJVgPG/oE1ggSuOsgmQ5NP1MHA/Qt3A/mIvlzcnJSVjhr2RsbKy8d/9P1zz4QFuSJEmSpIfm3u7RliRJkiTpITLQliRJkiQpQwbakiRJkiRlyEBbkiRJkqQMGWhLkiRJkpQhA21JkiRJkjJkoC1JkiRJUoYMtCVJkiRJypCBtiRJkiRJGTLQliRJkiQpQwbakiRJkiRlyEBbkiRJkqQoO38DfQlDTpF5xewAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 1200x400 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "day = np.arange(1, 31)                  ### days in June\n",
    "daily_sales = np.array([41, 39, 43, 40, 42, 44, 38, 41, 45, 43,\n",
    "                        40, 42, 44, 46, 61, 68, 72, 75, 70, 66,\n",
    "                        63, 47, 44, 42, 45, 43, 41, 44, 46, 42])   ### $K; promotion on days 15-21\n",
    "\n",
    "fig, axes = plt.subplots(1, 3, figsize=(12, 4))\n",
    "\n",
    "axes[0].plot(day, daily_sales)\n",
    "axes[0].set_title(\"default range\")\n",
    "\n",
    "axes[1].plot(day, daily_sales)\n",
    "axes[1].set_ylim(0, 80)          # y-axis starts at zero\n",
    "axes[1].set_title(\"y-axis from zero\")\n",
    "\n",
    "axes[2].plot(day, daily_sales)\n",
    "axes[2].set_ylim(30, 80)         # y-axis runs from 30 to 80\n",
    "axes[2].set_xlim(14, 22)         # x-axis runs from day 14 to day 22\n",
    "axes[2].set_title(\"zoomed in: promotion week\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "4e07a3b0",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-08-31T18:39:32.412620Z",
     "iopub.status.busy": "2026-08-31T18:39:32.412523Z",
     "iopub.status.idle": "2026-08-31T18:39:32.414041Z",
     "shell.execute_reply": "2026-08-31T18:39:32.413810Z"
    },
    "tags": [
     "thebe-interactive"
    ]
   },
   "outputs": [],
   "source": [
    "### Exercise: Controlling Axis Ranges\n",
    "#   1. Create month = np.arange(1, 13),\n",
    "#      this_year = np.array([110, 104, 118, 121, 125, 119, 130, 128, 135, 150, 168, 190]), and\n",
    "#      last_year = np.array([98, 95, 104, 108, 112, 110, 117, 115, 121, 133, 150, 171]).\n",
    "#   2. Use fig, axes = plt.subplots(1, 2, figsize=(10, 4)).\n",
    "#   3. On axes[0], plot month vs this_year and month vs last_year. Set title \"Full Year\".\n",
    "#   4. On axes[1], plot the same data, then set:\n",
    "#      - x-axis limits to [1, 6] using set_xlim\n",
    "#      - y-axis limits to [80, 140] using set_ylim\n",
    "#      Set title \"First Half\".\n",
    "#   5. Call plt.tight_layout() at the end.\n",
    "### Your code starts here.\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "### Your code ends here."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "1a35eadf",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-08-31T18:39:32.415236Z",
     "iopub.status.busy": "2026-08-31T18:39:32.415162Z",
     "iopub.status.idle": "2026-08-31T18:39:32.502995Z",
     "shell.execute_reply": "2026-08-31T18:39:32.502722Z"
    },
    "tags": [
     "hide-input"
    ]
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x400 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "### Solution\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "month = np.arange(1, 13)\n",
    "this_year = np.array([110, 104, 118, 121, 125, 119, 130, 128, 135, 150, 168, 190])\n",
    "last_year = np.array([98, 95, 104, 108, 112, 110, 117, 115, 121, 133, 150, 171])\n",
    "\n",
    "fig, axes = plt.subplots(1, 2, figsize=(10, 4))\n",
    "axes[0].plot(month, this_year)\n",
    "axes[0].plot(month, last_year)\n",
    "axes[0].set_title('Full Year')\n",
    "axes[1].plot(month, this_year)\n",
    "axes[1].plot(month, last_year)\n",
    "axes[1].set_xlim(1, 6)\n",
    "axes[1].set_ylim(80, 140)\n",
    "axes[1].set_title('First Half')\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2b32e316",
   "metadata": {},
   "source": [
    "```{index} color, line style\n",
    "```\n",
    "### Colors, Line Width, and Style\n",
    "\n",
    "Matplotlib gives you many options for customizing colors, line widths, and line styles."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f9fa3536",
   "metadata": {},
   "source": [
    "```{index} format string\n",
    "```\n",
    "#### MATLAB-Style Format Strings"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e6ebde39",
   "metadata": {},
   "source": [
    "\n",
    "Matplotlib supports short MATLAB-style format strings such as `'b.-'`, which combine color, line style, and marker style in one compact argument.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "31cb488a",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-08-31T18:39:32.593610Z",
     "iopub.status.busy": "2026-08-31T18:39:32.593549Z",
     "iopub.status.idle": "2026-08-31T18:39:32.633319Z",
     "shell.execute_reply": "2026-08-31T18:39:32.633099Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 400x300 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "month = np.arange(1, 7)\n",
    "actual = np.array([110, 104, 118, 121, 125, 119])      ### revenue in $K\n",
    "budget = np.array([105, 108, 112, 116, 120, 124])\n",
    "last_year = np.array([98, 95, 104, 108, 112, 110])\n",
    "\n",
    "### MATLAB style line color and style\n",
    "fig, ax = plt.subplots(figsize=(4, 3))\n",
    "ax.plot(month, actual, 'b.-', label='Actual')    # blue line with dots\n",
    "ax.plot(month, budget, 'g--', label='Budget')    # green dashed line\n",
    "\n",
    "### .plot() parameters can also be specified in a more explicit way\n",
    "ax.scatter(month, last_year, color='purple', marker='.', label='Last year')   # explicit parameters instead of a format string\n",
    "ax.legend()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "777e521a",
   "metadata": {},
   "source": [
    "\n",
    "```{index} color (hex code), alpha (transparency)\n",
    "```\n",
    "#### The `color=` Parameter\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6bf51f5d",
   "metadata": {},
   "source": [
    "You can define colors by name (`'blue'`) or by hex code (`'#8B008B'`). When a chart has several lines, give each a `label=` and show a legend, so the reader knows which line is which. Avoid pairing red with green: they are hard to tell apart for many color-blind readers."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "fa0ec4bb",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-08-31T18:39:32.713196Z",
     "iopub.status.busy": "2026-08-31T18:39:32.713119Z",
     "iopub.status.idle": "2026-08-31T18:39:32.746918Z",
     "shell.execute_reply": "2026-08-31T18:39:32.746686Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 500x300 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "month = np.arange(1, 7)\n",
    "north = np.array([150, 162, 158, 171, 175, 180])     ### revenue in $K\n",
    "south = np.array([120, 118, 131, 127, 135, 138])\n",
    "east = np.array([95, 99, 104, 101, 110, 116])\n",
    "\n",
    "fig, ax = plt.subplots(figsize=(5, 3))\n",
    "\n",
    "ax.plot(month, north, color=\"blue\", label=\"North\")        ### color by name\n",
    "ax.plot(month, south, color=\"#8B008B\", label=\"South\")     ### RGB hex code\n",
    "ax.plot(month, east, color=\"#FF8C00\", label=\"East\")       ### RGB hex code\n",
    "ax.legend(loc='upper left', bbox_to_anchor=(1, 1))   ### just outside the top-right corner, clear of the lines\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e9a07afa",
   "metadata": {},
   "source": [
    "`alpha` sets transparency from 0 (invisible) to 1 (opaque). It matters when marks overlap: below, 300 orders are plotted by number of items. At full opacity, overlapping points hide each other; with `alpha=0.2`, darker areas show where many orders pile up."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "135b9f2e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x300 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "rng = np.random.default_rng(3)                        ### fixed seed: same numbers every run\n",
    "items = rng.integers(1, 9, size=300)                  ### items per order\n",
    "order_value = 10 + items * 12 + rng.normal(0, 6, size=300)   ### order value in $\n",
    "\n",
    "fig, axes = plt.subplots(1, 2, figsize=(8, 3), sharey=True)\n",
    "axes[0].scatter(items, order_value)\n",
    "axes[0].set_title('alpha=1 (default)')\n",
    "axes[1].scatter(items, order_value, alpha=0.2)\n",
    "axes[1].set_title('alpha=0.2')\n",
    "for ax in axes:\n",
    "    ax.set_xlabel('Items per Order')\n",
    "axes[0].set_ylabel('Order Value ($)')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d7e704a8",
   "metadata": {},
   "source": [
    "```{index} marker, line width\n",
    "```\n",
    "#### Line and Marker Styles"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "75bd7278",
   "metadata": {},
   "source": [
    "To change line width, use `linewidth` or `lw`. To change line style, use `linestyle` or `ls`. Markers have a shape (`marker`), a size (`markersize` or `ms`), and colors for the fill and edge (`markerfacecolor`, `markeredgecolor`). Each line in the panels below is labeled with the setting that drew it."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "2744442f",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-08-31T18:39:32.829362Z",
     "iopub.status.busy": "2026-08-31T18:39:32.829301Z",
     "iopub.status.idle": "2026-08-31T18:39:32.867496Z",
     "shell.execute_reply": "2026-08-31T18:39:32.867275Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x350 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "x = np.linspace(0, 5, 20)               ### simple numbers: this cell is a catalog of styles, not data\n",
    "\n",
    "fig, axes = plt.subplots(1, 3, figsize=(12, 3.5))\n",
    "\n",
    "for i, lw in enumerate([0.5, 1, 2, 4]):                        ### line widths\n",
    "    axes[0].plot(x, x + i, color='tab:blue', lw=lw, label=f'lw={lw}')\n",
    "axes[0].set_title('Line width (lw=)')\n",
    "\n",
    "for i, ls in enumerate(['-', '--', '-.', ':']):                ### line styles\n",
    "    axes[1].plot(x, x + i, color='tab:green', lw=2, ls=ls, label=f\"ls='{ls}'\")\n",
    "axes[1].set_title('Line style (ls=)')\n",
    "\n",
    "for i, m in enumerate(['o', 's', '^', 'x']):                   ### marker shapes\n",
    "    axes[2].plot(x, x + i, color='tab:purple', marker=m, label=f\"marker='{m}'\")\n",
    "axes[2].plot(x, x + 4, color='tab:purple', marker='o', markersize=8,\n",
    "             markerfacecolor='yellow', markeredgecolor='black', label='fill and edge colors')\n",
    "axes[2].set_title('Markers (marker=)')\n",
    "\n",
    "for ax in axes:\n",
    "    ax.set_ylim(-0.5, 14)                   ### headroom so the legend sits above the lines\n",
    "    ax.legend(loc='upper left', fontsize=8)\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "be8c0c94",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-08-31T18:39:32.868583Z",
     "iopub.status.busy": "2026-08-31T18:39:32.868521Z",
     "iopub.status.idle": "2026-08-31T18:39:32.869997Z",
     "shell.execute_reply": "2026-08-31T18:39:32.869796Z"
    },
    "tags": [
     "thebe-interactive"
    ]
   },
   "outputs": [],
   "source": [
    "### Exercise: Style a Revenue Chart\n",
    "#   1. Create month = np.arange(1, 7),\n",
    "#      actual = np.array([110, 104, 118, 121, 125, 119]),\n",
    "#      budget = np.array([105, 108, 112, 116, 120, 124]), and\n",
    "#      last_year = np.array([98, 95, 104, 108, 112, 110]).\n",
    "#   2. Use fig, ax = plt.subplots(figsize=(5, 3)).\n",
    "#   3. Plot actual with the format string 'b.-' and the label \"Actual\".\n",
    "#   4. Plot budget with color='gray', ls='--', lw=1, marker='s', and the label \"Budget\".\n",
    "#   5. Plot last_year with color='#FF8C00', lw=3, alpha=0.5, and the label \"Last year\".\n",
    "#   6. Set the title to \"Actual, Budget, and Last Year\" and show the legend.\n",
    "### Your code starts here.\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "### Your code ends here."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "f6c8cb44",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-08-31T18:39:32.871171Z",
     "iopub.status.busy": "2026-08-31T18:39:32.871094Z",
     "iopub.status.idle": "2026-08-31T18:39:32.903499Z",
     "shell.execute_reply": "2026-08-31T18:39:32.903202Z"
    },
    "tags": [
     "hide-input"
    ]
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 500x300 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "### Solution\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "month = np.arange(1, 7)\n",
    "actual = np.array([110, 104, 118, 121, 125, 119])\n",
    "budget = np.array([105, 108, 112, 116, 120, 124])\n",
    "last_year = np.array([98, 95, 104, 108, 112, 110])\n",
    "\n",
    "fig, ax = plt.subplots(figsize=(5, 3))\n",
    "ax.plot(month, actual, 'b.-', label='Actual')\n",
    "ax.plot(month, budget, color='gray', ls='--', lw=1, marker='s', label='Budget')\n",
    "ax.plot(month, last_year, color='#FF8C00', lw=3, alpha=0.5, label='Last year')\n",
    "ax.set_title('Actual, Budget, and Last Year')\n",
    "ax.legend()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4938bd98",
   "metadata": {},
   "source": [
    "```{index} plot types\n",
    "```\n",
    "## Common Plot Types\n",
    "\n",
    "So far we have used line plots to introduce Matplotlib. Below are a few common plot types, shown in the OO style so the examples stay consistent with the rest of the notebook. Each example reuses the styling tools from the first half of this section (labels, legends, colors, transparency, and axis ranges), because a chart for a manager needs both the right type and clear styling."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "69da5124",
   "metadata": {},
   "source": [
    "\n",
    "```{index} scatter plot\n",
    "```\n",
    "### Scatter Plot\n",
    "\n",
    "A **scatter plot** displays individual data points as dots on a two-dimensional plane, with one variable on the x-axis and another on the y-axis. Each dot represents a single observation. Scatter plots are useful for visualizing the relationship or correlation between two continuous variables, and for identifying patterns, clusters, or outliers in the data.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "92a71164",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-08-31T18:39:32.946868Z",
     "iopub.status.busy": "2026-08-31T18:39:32.946780Z",
     "iopub.status.idle": "2026-08-31T18:39:32.980824Z",
     "shell.execute_reply": "2026-08-31T18:39:32.980592Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 400x300 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "price = np.array([10, 12, 15, 18, 20, 22, 25, 28, 30, 35])     ### product price in $\n",
    "units = np.array([520, 480, 450, 390, 360, 330, 300, 250, 240, 190])   ### units sold per week\n",
    "\n",
    "fig, ax = plt.subplots(figsize=(4, 3))\n",
    "ax.scatter(price, units, alpha=0.7, label='Past weeks')\n",
    "ax.scatter(20, 360, color='tab:orange', s=80, label='Current price ($20)')   ### s= sets the marker size\n",
    "ax.set_xlabel('Price ($)')\n",
    "ax.set_ylabel('Units Sold per Week')\n",
    "ax.set_title('Price and Weekly Units')\n",
    "ax.legend()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c36ce91c",
   "metadata": {},
   "source": [
    "The points slope downward: at higher prices, the store sells fewer units each week. A scatter plot shows that two measures move together; on its own it does not prove that price causes the drop. Coloring one point and naming it in the legend points the reader to the week that matters now."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "7206539c",
   "metadata": {
    "tags": [
     "thebe-interactive"
    ]
   },
   "outputs": [],
   "source": [
    "### Exercise: Store Size and Revenue\n",
    "#   1. Create store_size = np.array([8, 10, 12, 15, 18, 20, 22, 25, 28, 30])   (1,000 sq ft) and\n",
    "#      revenue = np.array([95, 110, 118, 140, 155, 170, 168, 195, 210, 220])   ($K per month).\n",
    "#   2. Use fig, ax = plt.subplots(figsize=(4, 3)).\n",
    "#   3. Draw a scatter plot of store_size (x) vs revenue (y).\n",
    "#   4. Label the axes \"Store Size (1,000 sq ft)\" and \"Monthly Revenue ($K)\",\n",
    "#      and set the title to \"Store Size and Revenue\".\n",
    "### Your code starts here.\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "### Your code ends here."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "6bf9b1ab",
   "metadata": {
    "tags": [
     "hide-input"
    ]
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 400x300 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "### Solution\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "store_size = np.array([8, 10, 12, 15, 18, 20, 22, 25, 28, 30])\n",
    "revenue = np.array([95, 110, 118, 140, 155, 170, 168, 195, 210, 220])\n",
    "\n",
    "fig, ax = plt.subplots(figsize=(4, 3))\n",
    "ax.scatter(store_size, revenue)\n",
    "ax.set_xlabel('Store Size (1,000 sq ft)')\n",
    "ax.set_ylabel('Monthly Revenue ($K)')\n",
    "ax.set_title('Store Size and Revenue')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "15237711",
   "metadata": {},
   "source": [
    "\n",
    "```{index} bar plot\n",
    "```\n",
    "### Bar Plot\n",
    "\n",
    "A **bar plot** displays categorical data as rectangular bars, where the height (or length) of each bar is proportional to the value it represents. The x-axis typically shows the categories and the y-axis shows the corresponding values. Bar plots are useful for comparing quantities across distinct groups or categories.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "7971bd34",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-08-31T18:39:32.982298Z",
     "iopub.status.busy": "2026-08-31T18:39:32.982198Z",
     "iopub.status.idle": "2026-08-31T18:39:33.017547Z",
     "shell.execute_reply": "2026-08-31T18:39:33.017323Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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1+gjML774ot7j4X6zHuB1b47ThH77yLEiuOAY0KferMrw9ZygdILrxBNUSWCfcJ3hO0WJ1+yTH9n78B5PN1jhsxHEYnLckX0WElWca9yo6c0+u8N3Y96oiQwafkf4rpGpwflyr9L19pzWrFnTperO22ONzXUXGQ46R5TIIIeKhAsBhsgbbCMgInI4BgIiIodjGwFRIhNVfT6RJ2wjICJyOFYNERE5HAMBEZHDsY3gf9CPGHfzoe98XN4yT0T0qOCuZty/gHszohqQjoHgfxAEIps5jIgoIcNdx/abSN0xEPyPOcwBTpg/p08kIoovGHsIGdzohnFhIPgfszoIQYCBgIgSk+iqu9lYTETkcAwEREQOx0BARORwDARERA7HQEBE5HAMBEREDsdAQETkcAwEREQOFzA3lGHOXkzyXKZMGalRo4bLa+Hh4bJmzRqdxBnz02K+V3ferBNX8g9d/sg+K74dH90svneBiBJjiQCJeNu2bWXIkCGyePFil9fOnz8vZcuW1dfWrVsnTZo0kR49evi8DhERBXCJYNCgQVKtWjWPrw0dOlSCg4Nly5YtkjJlSp2Uu3z58tKqVStp0aKF1+sQEVGAlgiWLVsm69evl7Fjx3ocGholhG7dumkCD6g6QtBYsGCB1+sQEVGAlggw0mefPn1kxYoVkipVKo+vYyztYsWKuSzH8+3bt3u9TmTVUXjYR+kjInKieCsRPHjwQDp27CgDBw6UcuXKeVwHCTxkyJDBZXnGjBmthNubdTwJCwuT9OnTWw/ORUBEThVvgeDLL7+UvXv3anXOpEmT9HHx4kX5/fff9X/MrGNW9ZiJvQkJvFmC8GYdT4YNGybXrl2zHihZEBE5UbxVDeXPn186d+4shw4dspahqubKlSty8OBBDQShoaESEhIix44dc3nv0aNHpXDhwvq/N+t4kjx5cn0QETldvAWCWrVq6cNu8+bNUqdOHRk/frw+xxyb6Ao6b948eeGFF3Ryhb///ls2btwon376qa6D3kLRrUNERAHefTQqY8aM0R5AzZs315vE5s6dq887derk0zpERBSg3UftnnnmGalZs6bLsiJFisi+ffukdu3aWpc/fPhwvYM4KCjIp3WIiMizJAYq40kbl9F7CIHE1zmLOcQEESXkdC2gSgRERPToMRAQETkcAwERkcMxEBARORwDARGRwzEQEBE5HAMBEZHDMRAQETkcAwERkcMxEBARORwDARGRwzEQEBE5HAMBEZHDMRAQETkcAwERkcMxEBARORwDARGRwzEQEBE5HAMBEZHDMRAQETkcAwERkcMxEBAROVxQTN5kGIbs379f/v77b32eN29eKV68uCRJksTf+0dERIEUCA4ePCgff/yxLFiwQC5fvuzyWubMmeWZZ56Rl19+WYoUKeLv/SQioviuGkICX7FiRbl69apMnDhRDh06JNeuXdMH/p8wYYJcunRJKlSoIP369Yur/SUiovgqEYSEhMixY8ckS5YsEV5Lly6dFC5cWDp16iQXL16UsLAwf+8nERHFdyAYN26cPHjwINr1UELAukRElAh7DfXq1SvK11FiqFu3bmz3iYiIAjUQLF26VIYMGeLxtRMnTmgQKFiwoL/2jYiIAq3X0PLly6VBgwaSNWtWeeWVV6zlp06d0iAQGhoq33//fVzsJxERBUIgqFq1qpYKWrZsqY3G3bp103sJEARy5swpK1askNSpU8fVvhIRUSDcUPbkk0/K7NmzpUuXLhIeHi5jx47VewhWrlwpadKkiYt9JCKiQLuzGDeO4Z6B3r17S/ny5WX16tXahZSIiBJ5IChTpkyEewuuXLkiderUcVm+e/du/+wdEREFViBwT/DdnxMRUSIPBOPHj4+7PSEionjBYaiJiBzO50Dw8OFD2bt3r/X8/v378sYbb0jNmjVl8ODBcufOHX/vIxERBVIgmDx5skydOtV6jv9nzJgh9erV05vJ3nrrLX/vIxERBVIgwHwEffv2tZ5/9dVXOgT122+/LV9++aUsWbLE3/tIRESB0FjcunVr/Xv48GEZPny4zkaGaqKtW7fK9OnTZe7cuTpz2dGjR611v/7667jbcyIierSBwEzUMS3le++9J0888YRs3LhR/vrrL72rGM6cOSM7d+5kACAiSsx3Frdv317atm0rTz31lE5Z+fzzz1uv/fTTTz4NQ42G5i+++ELvTL5586YGF1Q75cuXz2W9X375Rdsm/vnnHylZsqQMHTpUsmfP7vM6RETkhzYClAYQCLZt2ybPPvus9hQyIUF/7bXXvN5W165dtQSBISswXAXmRMZUlxjIzrRp0ya9cQ0lEUyXuW/fPqlevboGDl/WISIiz5IYqNiPJ//++6/LaKV3797V55999pmObAroloqRTRcuXGi9B8/RO2nQoEFerxOd69evS/r06XWGNV/HTco/dLk4xfHRzeJ7F4jIS96ma16XCP7880/x97ruQ1aj4RnTYZYoUUKf37p1S6t8MOy1/T2YE2Ht2rVer0NERBL7QIC6///85z/y22+/eXwdBYvNmzdrdY8vYxBhezVq1JBSpUpJq1atZNmyZVo9ZE54g55JuXPndnkPnp88edLrdTzBENqIlvYHEZETed1YfODAARk5cqTmtFOmTKnDT6MxFgHg3Llzsn37drl375688MIL8scff3i9A0WKFJHRo0fLxYsXtRvqgAEDdNt58uTR7UGKFClc3oPPRzUSeLOOJ2FhYXrvAxGR03ldIsiQIYOMGzdOTp8+rYPPFShQQC5fvixXr16VQoUKyaRJk/Q1rIN1fdkuSgS49wBdVJMmTWoNbpcpUyb9i7kP7PDcfM2bdTwZNmyY1puZD5QsiIicyOfuo2hw6Nixoz78LVmyZJIjRw45f/68Ps+VK5eWOnbs2CHNmzd3aUtAryBv1/EkefLk+iAicrp4G3309u3bOjQF7iUwYc5jJOCNGze2lqFd4vPPP5ezZ8/qc5Qa0D0Uy31Zh4iI/DhVpT8gN46EG9080f8fVUyoonn33XddShsjRozQXkiofsKNZsePH9cAUrlyZZ/WISKiALyPADBsNRJxdPlEIh4cHOxxPfQAwl3Djz/+uPaLjek6keF9BN7hfQRECYe36Vq8lQhM6O1TunTpaNcLDQ3VR2zXISIiP7QRoMsmxhUyYbiJHj16aJdMe50/EREFvhiVCFCPHxQUpEM7YDyfpk2bSpkyZWTdunVaFEFAICKiRFwimD17tjUWEIZxyJ8/v/797rvvZN68ef7eRyIiCrRAgH7+5k1jGzZskGbN/n8gsoIFC+odwkRElMgDAeYNwJSVe/bs0akqzX7/GIaiePHi/t5HIiIKtEAwZswY+eCDD7S3T6NGjaRKlSq6HEND9O/f39/7SEREgdZYjJFIUQWEvqn28Xwwfk+xYsX8uX9ERBTHgmIzLpD7oG6sFiIickjVEG5GnjZtmlSsWFEyZ87sUiLACKRERJTIAwHG8cHcxc8995wORW0qXLiwjBo1yp/7R0REgRgIpk6dKosWLZJ+/fq5LG/YsKEsWbLEX/tGRESBGghOnDihU0tCkiRJrOVp0qTRBmQiIkrkgQADu+3atStCIMB8w0WLFvXf3hERUWD2GsK8wl26dNG5huHnn3+WVatW6TSVU6ZM8fc+EhFRoAWCF198UcLDw6VPnz7y8OFDnXM4Y8aM2oBsjkFERESJ/D6CgQMH6l3EaC9AMMDAc7i3gIiIEpZYTUyTNGlSeeyxx/y3N0REFLiBoHPnzl5vdO7cuTHdHyIiCtRAgIloiIgo8fE6dZ81a1bc7gkRESWc+wiIiCjxiHF9z507d2Tr1q1y8uTJCBPWswspEVEiDwR79+6VFi1a6IBzN27c0BFIL126pK/lypWLgYCIKLFXDeEegg4dOljjCmGSmsOHD0u1atWkb9++/t5HIiIKtECwY8cOGTJkiI4zhMfdu3d14vrp06fLJ5984v+9JCKiwKoaunr1qjUhTdasWeXMmTN6Z3Hu3Lnln3/+8fc+UiKxb98+cYoSJUrE9y4QPbpeQ6gOGjFihGzfvp1zFhMROaVEgGoh0/vvvy9t2rTRaSvz5MkjCxYs8Of+ERFRIAYCc/hpc3pK9CK6efOmTkxDREQOvKEMQeD69ev+2BQREQVyIMC9Au+++67LsjFjxkiGDBm0obhSpUpy/vx5f+8jEREFSiD48MMPJTg42KUXyPDhw+Wll17SyewfPHggI0eOjIv9JCKiQGgjWLJkiXz//ffW82+++UaKFSsm48eP1+foQvr000/LxIkT/b+nREQU/yUCzEaGnkGmX3/9VRo0aODSd/rs2bP+3UMiIgqcQJAzZ07ZvXu3/o85izdv3qz3EZhwM1m2bNn8v5dERBQYVUPt2rWTLl26aJvAjz/+qMuefPJJlxICJrInIqJEGghwBzGqfl5//XXJmDGjzJkzR9KnT2+9PnXqVBk7dmxc7CcREQVCIEidOrUm/pExSwlERJRwcIYyIiKHYyAgInI4BgIiIocLiECA+Y/v3bsX5TqYFxnzIMR2HSIi8kMgqFevnsydO1du374tsYEhqzF8dZYsWSRdunRSvXp1nf3MzjAMHfYavZNwH0NoaKh8++23Pq9DRER+DAQYehpzEyPR7d27t2zbts3nbWBcomXLlsm0adN07uPLly9L0aJFpUmTJnLlyhVrvY8++kg+/fRT7ZGEUU4HDBig9zP8+eefPq1DRER+DASYl/jcuXM6phAS28qVK0vJkiU1Qb5w4YJX20iWLJl89dVXUr58ef0/ZcqU8s477+j7t27daq2Hz+jRo4dUqFBB1xs0aJAOc2GfG9mbdYiIyM9tBEi4n3vuOdmwYYMcPnxYWrRoIUOHDtXhqJEb//nnn33e5rFjx/Rv9uzZ9S+CwvHjxyPcrVyzZk0rWHizDhERxWFjMUoEqJaZNWuWpEqVSnr27ClJkyaVunXryltvveX1dtDe0K9fP6ldu7aUKVNGl5mlC7Qh2GXNmtWa98CbdTzBWEmYTMf+ICJyohgFAtTDz5gxQ3PhGIYaYwxh7mIMPzFp0iRZuHChDkg3btw4r7aHHkMdOnTQtoL58+dby5MkSWL1BrLDc1QBebuOJ2FhYdq4bD7y5s3rwxkgInL4nMU5cuTQ+Ym7du0qM2fO1MZjd5itLF++fF4Hgf3792tjLxqgTbly5bJGNbXDc/M1b9bxZNiwYdqWYEKJgMGAiJwoRiWCL774Qk6dOqXTVHoKAvYZzKKCXPszzzwjv//+u2zcuDFCQoyceunSpWXt2rUu71m3bp3UqlXL63U8SZ48uXZZtT+IiJwoRiWCNm3axPqDHz58KB07dtQqpO+++05CQkK0J5KZuKMxGjDSKdarUqWKVK1aVUc3xXv79OljbcubdYiIKJaBoHPnzt6uqjebRQd3AG/atEnr+Fu2bBlhbmQk7IAeSGjYnTBhgnYvRTdVlB7sE+B4sw4REcUyEAQFxajwEKlMmTJZJYDodOrUSR+xXYeIiCLyOnVH91AiIkp8YtRYXLZsWf/vCRERxYsY1ffgDmB0t2RPGyL/i663XWJSokSJ+N4FimmJoHXr1jJ9+nSeQCIip5YI0EMHN2NhGOnixYtr1087jChKRESJOBDgbuC2bdvq/xyjh4jIgYFg8eLF/t8TIiJy7lSVRESUwAIBpoZEOwCmmcycObPLQG6nT5/25/4REVEgBgIM5fDee+/pxDSYYtKEAehGjRrlz/0jIqJADARTp06VRYsW6UQydg0bNpQlS5b4a9+IiChQA8GJEyekVKlSLhPDAOYowOQyRESUyANBaGio7Nq1K0IgWLZsmRQtWtR/e0dERIHZfXTAgAHSpUsXGT16tD7HRPWrVq3SqSmnTJni730kIqJACwQvvvii3l2MiV8wAQzmLs6YMaM2IHfr1s3/e0lERIFVNbRlyxYZOHCgzgt89OhROXz4sFy4cEFLCniNiIgSeYkA00HiXoKkSZPKY4895vE1IiJy4J3F6DGEnkNERJRISwT2+n/3tgC0Fezdu1cqV67sv70jIqLACgT379/3+D8EBwfrPAW9evXy394REVFgBYK5c+fq3yxZssj48ePjap+IiCjQ2wh+/PFH/+8JERElnEBgzllMREQJH+csJiJyOM5ZTETkcJyzmIjI4ThnMRGRw3HOYiIih4tRiQDu3LkjW7dulZMnT0a4uYwjkBIRJfJAgKEkWrRoofMV37hxQyewv3Tpkr6WK1cuBgIiosReNYQhqDt06GBNS3nx4kUdirpatWrSt29ff+8jEREFWiDYsWOHDBkyRKepxOPu3btSsGBBmT59unzyySf+30siIgqsQHD16lWtDoKsWbPKmTNn9P/cuXPrZDVEROSgXkOoDhoxYoRs375dhg0bJsWKFfPPnhERUeA2FqNayPT+++9LmzZtpGLFipInTx5ZsGCBP/ePiIgCMRCMHj3a+r9w4cLai+jmzZucnYyIyMk3lHGKSiIiB5UI2rVrF+Xrixcvjun+EBF5Zd++fY46UyVKlAisEgFmKLM/MmXKpDeULVmyREJCQvy/l0REFFglgmnTpnlcPmHCBMdFaSIix4415AnGGGL3USIiB48+evz4cQkPD/fnJomIKBBLBK+//nqEZVeuXNE2grZt2/q0rYcPH8qaNWvk4MGD2giNexHc3b59W1atWqV3LZcsWVKqV68eo3WIiMhPgWDz5s0RlmXMmFEGDx7s06BzS5culVdffVVy5Mghv/zyi5QpUyZCIDh37pzUrl1bG6HxOoJQ8+bNZdasWT6tQ0REfgwEGzduFH/IkCGDrF27VhPwvHnzelxn6NChkjJlStmyZYukSJFC9uzZI2XLlpWnnnpKWrVq5fU6RETk5zaC06dPy4YNG+Snn36Ss2fPxmgb9erVkwIFCkRZbYTqJjRCI4GHUqVKabXPwoULvV6HiIj8GAhQl49qGFThICGvVauWjjraoEEDnZPA3mYQW5j9DENXFC1a1GU5nh84cMDrdTxBo/b169ddHkRETuRTIDh27JjUqFFDE82ZM2dqvT4eM2bM0BvKKleurCUFzFdQrly5WO8cZj8zq5Dc2yPM17xZx5OwsDBJnz699YisaoqIKLHzqY3grbfe0pz//PnzdUIaU9WqVaVr167y7LPP6hSWyImjtBBbqVKl0r/uCToCkfmaN+t4giGzBw0a5LI+gwEROZFPJYLVq1fLqFGjXIKACctGjhwpu3bt0oCxfPnyWO9caGioJE+eXI4cOeKyHM8x6qm363iC96RLl87lQUTkRD4FAlT/5MuXL9LX8VqyZMm0F4+nYOGr4OBgadq0qcybN08bhc02AfRaat26tdfrEBGRn6qGcubMqWMJoWumJ/v379eGY2+hCgk3k127ds0atXT37t1SpUoVfcCYMWN0FrQmTZpoGwQSfDRQd+zY0dqON+sQEZEfSgTokz9gwACPjbBY1r9/f5/67aO3D4alQA8jvDcoKEifY05kE6p3EHyefPJJ7emDaifcQYyShy/rEBGRH0oEb775pua40fe/e/fuVpdNdCmdPn26pE2bVu8W9lalSpX0EZ3s2bO7NOzGdB0iIoplIMiaNavevYuhJCZNmiT//vuvLk+dOrW0b99e5y/G/ARERJSIh5jIli2bjuHz+eef6z0DgHYBVOsQEVHCE+PUGwl/VD2IiIjIgfMREBFRwsNAQETkcAwEREQOx0BARORwDARERA7HQEBE5HAMBEREDsdAQETkcAwEREQOx0BARORwDARERA7HQEBE5HAMBEREDsdAQETkcAwEREQOx0BARORwDARERA7HQEBE5HAMBEREDsdAQETkcAwEREQOx0BARORwDARERA7HQEBE5HAMBEREDsdAQETkcAwEREQOx0BARORwDARERA7HQEBE5HAMBEREDsdAQETkcAwEREQOx0BARORwDARERA7HQEBE5HAMBEREDsdAQETkcAwEREQOl2gCwaZNm+Tpp5+WOnXqyMsvvyxnz56N710iIkoQEkUg2LBhg9SvX18KFy4sr776qvz1119SvXp1uXHjRnzvGhFRwEsUgeD111+Xtm3byqhRo6RZs2aydOlSuXTpknz66afxvWtERAEvwQeCW7duyZYtW6RFixbWslSpUkmDBg3khx9+iNd9IyJKCIIkgTt16pQ8fPhQcuXK5bIcz9etWxfp+8LDw/Vhunbtmv69fv26z/vwMPyWOEVMzo/p5s2b4hQ8TzxPgXBNme8xDCNxB4J79+7p3+TJk7ssT5kypfWaJ2FhYfL2229HWJ43b9442MvEI/34+N4DIvIV2kvTp0+feANBpkyZ9O/ly5ddlqONIHPmzJG+b9iwYTJo0CDrOUoV2AbekyRJEglkiPIIWCgNpUuXLr53J6DxXPE8Ofl6MgxDg4B7jUmiCwQ4wBw5csi2bdukefPm1vLffvtNatasGen7UIJwL0VkyJBBEhJciAnhYgwEPFc8T069ntJHURJINI3F8Pzzz8vnn38up0+f1udLliyRAwcO6HIiIpLEXSKAN998U+8dKFSokBbb/v77b5k0aZJUrFgxvneNiCjgJYpAgCqehQsXypkzZ+Sff/7RgJA2bVpJrHC8I0aMiFC1RTxXvKb424uJJEZ0/YqIiChRSxRtBEREFHMMBEREDsdA4Afop/vVV1/J7du3JSH7448/ZM2aNfG9GwkOequhpxpRQsU2gmjcuXNHvv76a4+vVa1aVfLlyycHDx6UYsWK6U0mefLk8csXgyEvVq5cKa1bt5YUKVLIozB69GhZvHixbN++XR6VY8eO6T0fGC02od7Vjeujc+fOj3QIDXxPU6ZMkfXr17ssv3v3rtSqVUvvmn/yyScf2f4kJJ988onMnDkzynWWLVsmOXPmFKdIFL2G4tLVq1fl2Wefldq1a+uNa3ZI9BEI4gKCCj4X8yq4f25cKV68+CNPPN544w358ssvpXfv3jJ16tRH+tkJ2blz52Tr1q0RluMOeQTWCxcuxMt+JQQYobh06dLW85YtW+qjR48eEUYscAoGAi8NHTpUGjdu7NPJxZAV+FEGBQVJ2bJlJUuWLB4DjbkOShgYORWlkFWrVunr33zzjd4ZiKDzxBNPyOrVq3XI7X379snRo0c1J20GCuTkT548KaGhoVKhQgWXz9m7d68mDjVq1JDdu3fLxYsXdZ1s2bJZ62A+B0+ljyNHjujnIcderlw5l9cQqLC9NGnSSPny5XX/vYVjR5UK5pDAkOHjxo1zef/9+/c159uwYUO9tX///v2aS8Pn+LKOeR5RdZc0aVI9Dnwf9mO1bwfDk2A7ON+PP/64Vf2zY8cO/S5wDhJa92RcYx9//LFmMJB5GTBggMs5QukCJVvce7N8+XK9Vpo2barrIVCjezaCTMeOHbX0Y4d7eD766CO9iRPnHuvYRwMONPgt2UvuISEh+rxKlSrWss2bN+s5wT1Jjz32mA5HYwaPnTt36uRXOE/20Qjmz5+vj2+//VavobFjx1rXTLt27XTirICF7qMUubNnz6J7rbFy5cpI1/njjz90nVOnTlnLpk+fbqRPn96oV6+e0bBhQ/1/zpw5Lu/77LPPjNSpUxsVK1Y06tevbxQrVszYv3+/cfXqVaNx48a6zVatWhlPP/20MXbsWGPbtm26rFmzZkbJkiWNDh06GLt37zZu3Lhh1KlTx8iWLZvRpEkT/Vu3bl3j5s2b1me99tprRqFChYzSpUsbDRo0MKpUqWKkTZvW2Lx5s7VOWFiYUb58eev53bt3jc6dOxtp0qTR9+A17Ne9e/es/Tdfw3EWKVJE99FbEydONIoWLWrcv3/fyJMnjzFr1iyX13FcOF4cU758+fSzsc/YJ1/WgV69eul5bNeunVG8eHGjQIEC+r25b6dp06ZGwYIFjbZt2xorVqywzl2GDBl029WrVzeyZ89ubNy40XrvsmXL9Ht8lHDuPH3m7du39Tjs19qWLVuMkJAQ45VXXjFWr15tvPzyy0by5MmNXbt2WesMGTJE18F5xHHju02RIoVRoUIFo2XLlnr9T5482QgKCjLWrVtnvW/Pnj1GpkyZ9Bz98MMPet3j/EybNs1IKHLnzm2MGDHCer5p0yYjODjYGDp0qJ6v3r17GylTptTfJuB6xXumTJnish38jgcOHKj/m797nLevv/7a6Nixo7FgwQIjUDEQeBkIcFHMnz/f5YHEw1MgwA8MCeTOnTut7eBHkipVKuP06dP6HAlm0qRJjblz51rrnDhxwnrP3r17dZv4fJMZCHBh2r3++utG/vz5jQsXLujz8+fPG6GhocYbb7xhrYMfKj4PF7kJiWWjRo0iDQR4P4LKkSNHrGWrVq0y7ty5o/8j8Z4xY4b1Go4NiY63ypQpY4wbN07/f/PNN42aNWu6vG4mzviB/fvvv9a5RgK1dOlSr9fxpGfPnkbz5s0jfBZ+vAiApoULFxq5cuWyvjeYNGmSHru5XnwFAnyflStXdnlUqlQpQiDAMSHTYIfMRIsWLVwCQZYsWYxbt25Zy9q3b6/HHh4ebi1DoBgwYID1HIHTTPxM+GwklAk1ENSsWdPo0qWLyzrIqOF82H9zCJKmffv26XnH7xYQaNevX++yDfu5DTSsGvLSr7/+qg2bdnXr1tUqEXdffPGF5M+fX6tUDh8+bI0FnixZMi2iP/XUUzJnzhwpVaqUdOrUyXofqnTwiA6KpXbosdSzZ0+r6ilr1qz6fPbs2fLOO+9Y66Gqwz4QH+Z3HjlyZKSfg/e/+OKLUqBAAWuZvQ0BQ32jOgDDfQcHB+sAgNGNcmhCkRnv7dq1qz5H/ey7774rhw4dsqpjTH379rWqjIoWLar1uaiqwHn0ZR1UYeCBKiQU1z11AkBbBY7FhEbFEiVKyC+//KLfIx64oxtVBvhu0UkgvmA/xo8fH6GxGO1ZdqgyRLWbHap9MKOfexsRvlMTqnlw7Kg6sS9D+4R9mlicB7RXmOcHvehQlYbGc0+/j0BmGIZem3369IlwvjBsjal79+56vaLKtWTJkjJ9+nSpVKmSni+oV6+e9O/fX6vW8D/SA/u5DTQMBHHQRnD8+HH9MaDO2f1iMuuWUZfvnuB5y703A7ZlT6yhYMGCcuLECZdl7g1gSEjQHhEZ1CdHtY+4+BEoPvvsMw0wbdq0kS5dumjAiw7eiwR77dq1LvuM5WPGjHFZFz8iO9TZbtq0yet1UP+P+lnMWFe5cmWt10Ud+Pnz56M9t/gu0X7j/l0GQn0v2jvs9drg/n0iYfOUIOO5+5ze9gAIGI7d0zIzY/PgwQNtd0FmplGjRhH271H1dvOne/fu6TFFd75wvWGe9BkzZsj7778vc+fOdclUodcRMhFom0L7AtrfkPnDNR+IGAjiAIanRc4eOfXIIDFCQhsT7vMlYA4F9/kY8NxT47QvkGtGo1dkkPgjR4RAhPsPMHc0nn/44YdRbhc/tHnz5un77blyBAKUQpDTQuJrunLlisv78dz92KJaB413yLmicd2cowLfzcaNG6M9t/guUXJLqPNf43gQFHGPiB2e43zHBgI+to1z7R6QEqqQkBDtTIDzY2/w9nS+XnjhBS2J4tgRbNHLz57JQukSDwTnVq1ayfDhw3U+9UDEG8riAEoOqErYs2dPhMTZzLEhB/XTTz+5VDchp2UmvGaOJKocuwk9gdwvMORgsTw2sI/I6aC3iAk/euQEsa8Y5A8Q9FC1061bN50/OjqLFi3SHwpyS0iQzQeeY/rQ7777zmV9e7DA6+itgd5S3q6DqgwEBftERe45/Ki+S6yLXlZ25pDnCQGqMaZNm2Zda6h+QykOy2PrpZde0n75CLQmVJu5V1klJN27d9dqIDOjhipM5O7dzxfu8TGratEryJyfAEEBMyCaN5iac5+4l64CCUsEXvrxxx+1u6MdcoqoV3XXoUMH7RaJOvh+/fpp1zR0R0QChzYCFJlRtYBcMRIrXEi4iJBAYuY01MPjPegWihuDkCAjlxJZURs5aHT7a9++vXZ/RBdTdHHDZD2xgSoa7B/aQrC/CAILFizQ+mDknFAX3aBBA+2GiNeQa0auJzqo/kFuC1UbdvihoPoMr9vr9pGoo80Dn4OujFgPOTG7qNbB+XzllVc0B4fcG85PVPNZ2+F9uLEP5xf1xigloc4d5xbdZhMC1FOj+y+uVeTgERBQneNeDx4TAwcO1Jsf8X2iKzJKIMg4oLokoRo8eLAm/kWKFNHzhZIkMjnu85vgN4CqUJSA7a+hLQDVSLlz59YHMhHZs2cP6LvPeWdxNHCR9+rVy+NrSByRYCFnjHpA9Ds26+GRY0YOF3XgyKEiaKBh1D5bEHLWaNBEbgoXDxJyey4eP17kRJCjRd91fBYSWtRLuvfXR3sAcnn4i37iSPTsN7vhc9BPHHM32PtKI8eP3KJZhYJAhcBiQgkFCTN+GKgXRWJrNgjfunVLG8bRuJY6dWpp0qRJtDek4QeCbSAn6Z6rB1TXYJIhfCbqa9GmgkT7999/12CK4IjAiR+WmfuKbh3AaziXCOboD457NpBrNavv8B3h+0EDKoYxd2+ARf/wn3/+WatDEBTQl95sREVgQA5y1qxZ8qhguHVUybnPuYHrDt8hjsG9+gxtIsitI1OBDgV2yP3iXNobv3EtoUSKBNGERBEJvfs5wnooaSBDg+su0Kd7tdu1a5eeD/dRAfC7w28bxxPZtLe4Gx+/OzSYux8zrhvznHjTCSQ+MRBQwDITefTYiqwO2pt1iOLC7du3NXCi1G+f/zwhYhsBEVEMqsTQEwg1AGgQTugYCChgoZ4f1W9R9X7yZh0if+vVq5e2S6G9zJdhVQIVq4aIiByOJQIiIodjICAicjgGAiIih2MgICJyOAYCIiKHYyAgInI4BgIiIodjICAicjgGAiIicbb/AykgtjXN2BjtAAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 400x300 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "departments = ['Apparel', 'Electronics', 'Home', 'Toys']\n",
    "sales = [240, 410, 185, 120]                   ### quarterly sales in $K\n",
    "\n",
    "order = np.argsort(sales)[::-1]                ### positions from largest to smallest\n",
    "sorted_departments = [departments[i] for i in order]\n",
    "sorted_sales = [sales[i] for i in order]\n",
    "colors = ['tab:blue'] + ['lightgray'] * (len(sorted_sales) - 1)   ### highlight only the leader\n",
    "\n",
    "fig, ax = plt.subplots(figsize=(4, 3))\n",
    "ax.bar(sorted_departments, sorted_sales, color=colors)\n",
    "ax.set_ylabel('Quarterly Sales ($K)')\n",
    "ax.set_title('Electronics Leads Department Sales')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ad4f3710",
   "metadata": {},
   "source": [
    "Electronics sells far more than the other departments. Three styling choices make that easy to see: the bars are sorted from largest to smallest (useful whenever the category order has no meaning of its own), only the leader is colored, and the title states the takeaway instead of just naming the data."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1f70272f",
   "metadata": {},
   "source": [
    "\n",
    "```{index} histogram, bin\n",
    "```\n",
    "### Histogram\n",
    "\n",
    "A **histogram** displays the distribution of a continuous variable by dividing the data into bins (intervals) and counting how many values fall into each bin. The x-axis represents the value ranges, and the y-axis represents the frequency (count) of observations in each bin. Histograms are useful for visualizing the shape of a distribution — whether it is symmetric, skewed, or has multiple peaks.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "e249ebe0",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-08-31T18:39:33.018802Z",
     "iopub.status.busy": "2026-08-31T18:39:33.018729Z",
     "iopub.status.idle": "2026-08-31T18:39:33.055628Z",
     "shell.execute_reply": "2026-08-31T18:39:33.055341Z"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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aeUKIUyDq5mxB/Qdr4PU62/fVV1+12Rf5+I72c5U6deqogV25cqXeLGC8YfjtwZgMvG542pj0VbZsWR2Itzbi48aNU08eaduQFejbt6/uF1PgoQ8ZMkTX161bZ/NeuXLlVEkX3n6RIkVUg8t+H3dDI08I8XkwDwLhEHjqP//8s9aksJ8Vf/XqVQ3htG/fXivRYQYpPoebwYkTJywTjFAu9IUXXohinKMDx4XBxvgAjouwzeXLl3W7NQgPWYMJnjdv3pT4hAOvhBCnQJbZGfbT7E2dFUfYa+FgFqe7gcYVvONDhw5Jx44do7wf+b9QDmpG165d2+ExTAGA2E5Cat68uUpC/P333xqOgUAinlYgF+HpyWY08iQgQGwWg3HmOokZsdHdj699YwoyaypWrCgbN26UFi1aRHk/S5YskiNHDlm2bJlTI48wCow1hBIRVzfB69DQUIefwaAtrq1Vq1ZZPHWIvUFryxtguIYEBPA68ciNxVWhJ+L9rF69Wgd5EQZxVlDo66+/lsmTJ+vAK0IzEDyEMKJJjx49ZNSoUeqVQxdmxIgRsn37dqffiesJ4SEo5iLcc/z4cR309RbJZnryhJCAoX379voU8cUXX6gxh3deq1YtVbo1wfZLly6pnDnUcqtWraqhoOjqXMycOVM6d+6sg89IvWzbtq3OiPUGPK5CmRBQhdI3qf/VujjJGhTNnkaWdKtskTUYP368rnfv3p2yBk5UKB2pHRLv/L/4jAolIQkBpAyQugY++OADGnkSMDAmTwghfgyNPCGE+DE08oQQ4sfQyBNCiB9DI08IsRAAyXYB9/+gkSeEWCaIIdWUeA/379/Xv8jXd5VE3nASmE0GjYzChQur3oM9mDm2efNmFfxBlRfMLiMkNiDHeO3atZZ1YgsEu6DKCBEvGBR7rRmS8B48bCP0gKCEGZdZ2h418pD3hOxnvnz59CKDvjIE+qEFbV5kSPSvW7euqrlBfAi6FF27dpWRI0d6sunEx8CPBDMXiWMgnAUFRUy8OX36NLvJS4CBz5o1a5yO4VEjD32JPXv2SOrUqfX13r17pUSJElo95bXXXtNtEPiHxsSBAwd0dhduBBAOwlTkGjVqeLL5hPgVSZIkUYEthmy8AzxRuUNnyaNGvnHjxjavTY/erKaCR5affvpJRfth4MHLL78s5cuXV60IGnkSmxmvqAAEIEMblxinP4MnaIaz/AuPx+QhBIQSWNBhgOFGyaymTZvqexD4uXXrVpRq68WLF5ddu3Y5PWZERIQuJjg2CWzgnaK2JkBxCRp5Eih4fHQFg6moe4hqLocPH1YpWHjzZjzeLKdlDVTeYPydAWlQeP7mgqK5hBASiHjcky9ZsqTWYwSIuyMUA3H/Dh06aHUVR9Vp8Dq6R0qEd6z1oeHJ09ATQgIRj3vy1iB7BgVzzcK2KKMFr96+TiJG/xG/dwZuDpDetF4IISQQ8ZiRR8msa9euRfHQjxw5YvG6YawxuDpv3jzLPvjMmjVrpH79+gneZkII8TUSeTLb4ZVXXtGBVnjwiLFPnz5dUqVKJd26dbPsh3x4ZNS888478tJLL2kOPSZNYfCMEEKIl3ryiKmjOC7CLps2bdKQDOLo+/fv15i8SalSpWTHjh06UQOzXlGgF7UXzXg9IYQQLx14Ra1FVOl5FgULFpTRo0cnSJuIfwKnYPHixZZ1QgIFj2fXEJIQYACf4zgkEPGq7BpCCCHuhZ48CQgw0A+JDNCyZUvOeCUBA408CRhZg7Zt2+r6m2++SSNPAgaGawghxI+hkSeEED+GRp6QGPI00vDKYxESHYzJExJDQoKDpPucnXLsiq1gXmzJnzmVjG9emv1OEgQaeUJiAQz8/gusT0D8PFyDYh6jRo2yvB4zZoyEhoZKhQoV5NSpU+5sHyGEkIQ28tCYQS1IcPbsWRkwYIAMHjxYdWg++uijuLSHkHgBUgYoTIOFsgYkkHApXLN69WpVgwTLly+XV199Vbp06aL5x0WLFnV3Gwlxi6wBrk9CAg2XPHkU2DaLbf/xxx9SvXp1XUfdTOjEE0II8WFPvlq1ajp7EDrvS5YskbFjx+r29evXS+XKld3dRkLizJMnT2ThwoW63qhRI0sdYUL8HZc8+a+//lo131etWiXff/+9lukD0AYZOHCgu9tISJyJiIiQZs2a6YJ1QgIFl9yZBw8eyI8//hhlu1mQmxBCiA978mFhYe5vCSGEEO8w8tmzZ9fUSUIIIX5o5Hv16qUpk5cuXXJ/iwghhHg2Jj98+HC5fPmyFtdOnz69JEmSxOZ9Gn/iDWRKlVSFwKA5Q0ig4pKRh4wBId5OmuSJLKJih85etWxv/PUGSZQ0eayOVbVQJulV5/l4aCUhXmjkW7Vq5ZYvR149cuw3btyoecvIux8xYoTKI5ggLPTtt9/afK5YsWKya9cut7SBBIao2KErDyRjvQ/1NdaDQh7H6hhhmVLGU+sI8WI9+fPnz8u6detc+ixmxvbt21fatGkje/fulQ0bNsj9+/elRo0acvfuXZv93njjDXn48KFl2b59e1yaTQKQoJBEkqp4TV2wTkig4JKRv3HjhtStW1dy5swpr7zyimV7gwYNYmz0Q0JCdF8Y8MyZM0uePHlk4sSJqmK5efNmm32DgoLU0zcXfJYQQkg8GfmPP/5YB1tPnz5ts71Hjx4ydOhQcZXr16/r39SpU9tsX7FihaRJk0Zy5colLVq0kDNnzrj8HSQwMSKfyv3jW3XBOiGBgktGfunSpTJ58mSLnIHJCy+8EKfwDWSKS5YsKWXLlrVsz5s3r8yYMUM9fHzvlStXVB/nzh3nhRswbR3vWy8ksDGePJar8wfrgnVCAgWXjPzt27ct3jZCKdbbXRF+gqrl+++/L/v371e9b+twTJ8+fVRQKkOGDFK8eHGZN2+epm9GJ6GAwdu0adNaFjwBEEJIIOKSkS9fvrwaW2sjHxkZqaGaSpUqxdrAf/DBB/Lrr7/KmjVrpGDBgtHuj7x8PEEcPXrU6T4Y0MUNx1w4O5cQEqi4lGaA0n+1a9eWtWvXqpHGDFjoyh87dizW4Zrw8HCZP3++FiJBauSzQOgFRhsTsZyByj+s/kMIIS568i+++KL8888/akgRQkF1qFKlSsmWLVukTJkyMT5Ot27dNDwDD75EiRIOY+uo5rNjxw5dh/fevHlzSZkypbRs2ZL/P0IIeQYuJwwXKVJEteTjkkkzYcIEDfeULl3a5r0pU6bIe++9pzcRTLyCt4/JT+nSpdNBV6RYQs+eEEJI9HhsVkjGjBnl8WPHWQ7WA6/Io8dCCCEkHo18bLJmUGrN3cck8YM7Bby8WQwMs1wz1OpkWfcn4TRv7nfieWJ8tSPubgJZgWHDhmlWTLly5XTb1q1btSzgp59+Gj8tJfGCKeAFfZe4kD9zKhnf3Dbs5k3AsKcu00C8TTjN3/ud+JCRr1mzpmUddVyRp16vXj3LtiZNmqjEAWSIkdtOfAcYmv0XOGGM/U78EZeeW/fs2aOKkfZg2+7du93RLkLcCqQMIs7t1/WkOYtKUDD1j0hgEOzqoOns2bOjbMe20NBQd7SLELcCKYPLs/vpQlkDEki45MkjHv/uu+/qLFXE5DEhatu2bTohaubMme5vJSGEkIQz8piIVLhwYRk/fryKhpl58zD0mBRFCCHEh438tGnTtNjH9OnT3d8iQgghno3Jd+jQQQXJCCGE+KGRf/7552Xnzp3ubw0hhBDPh2s6d+4sb7/9tgwZMkRj8agSZX8TIIQQ4qNGvkuXLvoXht4RyLYhxJsICgmRdFXbWtYJCRRcMvIswkF8jaCQxJK2QhNPN4MQ3zDyOXPmdH9LCCGEeIeRX7hwofz0009axAOhmUKFCkmLFi20Fish3ipr8OjycV1PkiWMsgYkYIhVdg3SJlHEo3HjxlrqDwOsmBQFY49teI+plcQbgZTBpRk9daGsAQkkYuXJT5o0SUv1obZr1apVbd77888/1ZvHPl27dnV3OwkhhMS3J//dd9/JN998E8XAA2ybPHlynEoCEkII8aCRP3z4sNSqVcvp+3gP+xBCCPFBI49JT/fu3XP6Pt6znxhFCCHER4w8ZIV/+OEHp+/jPbMcICGEEB8beO3du7c0aNBArl+/Lh9++KFkzZpVt1+6dEm+/PJLGTt2rCxZsiRWBb9/+eUX2bhxoxb1RmWphg0bSlCQbVHi48ePy9SpU+Xy5ctSvHhx6dixoyRPnjw2TSeEkIAkVp58nTp1NHsGOvLZsmWTdOnS6YJ1bEMh79q1a8foWEi1hO7NokWLJCwsTDJlyqSaOM2bN49SarB06dJy4sQJNfAw9lWqVJFHjx7F7kxJQAMpg7SV3taFsgYkkIj1ZCh40a+//rpOiDpy5IhuK1iwoE6EMj37mABvHZWk8uTJY9lWqVIlLQaOQuBlypTRbZ988om89NJLlnKD0MvJnTu3atlD8piQGF1vIYkl3cst2Vkk4HBpxiuMObzuuAAjb23gQb58+fTvtWvX9C+89VWrVmlqpknmzJmlevXqsnjxYhp5QgiJDyMfXyDckzp1ailfvry+PnPmjDx+/Fg9d2vwet26dU6PExERoYvJnTt34rHVxBcwjEh5fO2sricOzSVBQS6VUiDE5/CaKx2x+VGjRqnXjjg/ePDggf5NlSqVzb64EZjvOWLEiBGSNm1ay5IrV654bj3xdozHj+Ti1C66YJ2QQMErjPzy5ct1wBXZOSgSbgIDDW7evGmz/40bNyzvOaJv375y+/Zty0JpZEJIoBJjI1+sWDHL+tChQ93WgBUrVuigLbzv7t2727wHDxxe/b59+2y27927VzNtnJE0aVJJkyaNzUIIIYFIjI08lCbNtMUBAwa45ctXrlypefHDhw+XHj16OBychYcPPZx///1XtyGnfsuWLSqGRgghxE0Dr/Cc27VrZxkUnThxotN9w8PDn3k8GO033nhDvezt27erTLFJ+/btLSJouAEg9x5PEkWLFtUBV9wQYpqPTwghgUyMjfy0adOkf//+8u2337rFyEPjZsqUKQ7fsx4oTZ8+vfzzzz+yYcMGnfE6btw4FgonhBB3G3l40siAMcMohw4dkriAuLm19x4dISEhOkmKEEJIAuTJm/FxQnwFSBmkKd/Ysk5IoOCSkTfz1nft2iUHDx7UOq/QoSlVqpS720eI22QN0ld7j71JAg6XjDxUKKEhg+yYZMmSafgGk5MwGDpr1izJmDGj+1tKCCEkYSZDdevWTScZ7dy5U437/fv3df3WrVtRct0J8RZZgye3L+uCdUICBZc8eWjGb9u2TfLnz2/ZhlDNzJkzLSmWhHgTkDI4/007Xc/VY74EJUnm6SYR4r2ePCZFOZpFim3WwmCEEEJ80MijgtPHH39sU+/17t278tFHH0nlypXd2T5CCCEJHa5BFai6detK9uzZdRYq2L9/v+rMQGyMEEKIDxv5woULy+HDh2XOnDlq3JFdg4pR0JlBtg0hhBAfLxoCY96mTRv3toYQQoj/6ckTQggJgPJ/hMQXQcEhkqp0fcs6IYECjTxxC5lSJZWnkYaEBAd5ZY8GJUosGWvHrfg8IQFj5CE7zHg8sSZN8kRq4LvP2SnHrtyNU+dULZRJetV5nh1MiKeMfIcOHaR169YSHMyQPrEFBn7/hTtx6pawTCnd3q0Q0Yt88P/aFZw8jWaEERIIuGSln3/+edWqIcRXMB5HyLkJLXXBOiGBgkuefOfOnVWFcsiQISoxjCpP9jcBQgghPmrku3Tpon9h6J09GhNCCPFRI3/27Fn3t4QQQoh3GPmcOXO6vyWEEEK8J08eBUKgK3/ixAkZMGCAbsNgbMmSJWOddYNjHDlyRLXoM2TIYPPegQMH5MyZMzbbUqdOLZUqVXK16YQQEjC4ZOT37dsntWrVkuTJk8vJkyctRn7ixIlSpUoVTa+MCRs3btTB271798qFCxdk7dq1UrVqVZt9vvrqK1m0aJFN/dg8efLQyBNCSHwZ+Z49e0qnTp1k4MCBNvnG4eHh0rZt2xgb+dOnT2u5QMgV586dO1r9+vnz57vSVEIsUgYpi9WwrBMSKLhk5Ddv3uzQ6BYsWFAOHjwY4+OY2Tnnzp2Ldj8UJ/n7778lbdq0UqhQIcoZE5dkDULr92DPkYDDJSOPmDuKd6Pcn7Unf/ToUS0c4m5g4FE4HCEdfO/kyZOlSZMmTvdHCULrMoR37sRtBiYhhATUjFdUhRo6dKjmw5tGHgYY+fMNGjRwawNff/11PTbi94j/4ztatmypRUucMWLECPX6zSVXrlziT0AIjLgga/DooS6cx0ECCZc8+bFjx0r16tU1jh4ZGSnlypXTwdO8efOqgXUn9erVs6zjhoJBXpQfXLx4sYZuHNG3b18dN7D25P3J0FMILPZAyuDsf5rqeq4e8yUoCSuYkcDAJSOP2q67du2SefPmybZt29TQf/DBB1r+Dxk38QlCRQgJXbx40ek+SZMm1cWf8VYhMEKIH5X/e+edd3SJL3DzuHv3rsb+TVBTFlk51imVhBBC3GzkkRGDAVAzmwZCZRAuy5EjR4yPcf78eQ3zXLt2TV9v2bJFHj58KPnz59fl6dOnOkGqRYsWmmaJSVFjxozRlMq33nrL1aYTQkjA4NLA64oVK9QI//bbb5bBTUxYwraVK1fG+DiYzfrll1/KzJkzpU6dOrJmzRp9/c8//+j7iRMn1gHXRIkSyZw5c/SGMnLkSJ00hfcIIYTEgyf/4Ycf6uAmJkNZM3jwYJ3cBOMdEzBrFkt0QOagX79+rjSTEEICHpc8eXOmqj3YhvcIIYT4sJEvXLiwQ28dg6IsGEK8kaDgYElRqJIuWCckUIhxuObQoUOWdRTxbtq0qfTv319z5DG5BKmUmCD16aefxldbCXGZoERJJFPDvuxBEnAkio337qxClDUQKXO0nRBCiBcbeVaDIoQQPzbyrAZFfBlo1ljLGgRT1oAECC5PhgKPHz9WdUh7QkND43JYQgghnq4M1aFDB52hCukBe6jyRwghPmzkUf0pX758qjgZH/rxhBBCPGjkoTezatUqlTMghBDivbg0KyQsLEwLeRBCCPFDT3748OEassHkJxh86xKAIE+ePO5qHyGEkIQ28ijIAVkDZ+JiHHgl3gakDJLne8GyTkig4JKR79q1qzRu3Fhnt3LglfiKrEHmNwd5uhmE+IaRR7GPCRMmSOrUqd3fIkIIIW7DpedWFNA+deqU+1pBCCHEezx5FOxGST4MwKIalP3AK+WGiTfKGpyb2FLXc4b/RFkDEjC4ZOQ/+eQT/fv66687fJ8Dr8QbMR5HeLoJhPiGkaciJSGE+LGRpyIlIYT4sZFfv359tO+//PLLrraHEEKIp4185cqVo30/pjH5Bw8eyNy5c+Wbb77R8oKLFy92eIOYOnWqjB8/Xi5fvizFixeX0aNHS+nSpV1pOiGEBBQupVDCOFsv9+7dk127dknFihXlxx9/jPFxBg0aJGvXrpVevXqpLv2TJ0+i7DN79mzp3Lmz7rNhwwaVUahevbpcvHjRlaYTQkhA4ZKRT5Ysmc2SIkUKKVmypHrcX3zxRYyPM3LkSJk+fbpUqFDB6T6QM4ZOTqtWrdTAT5o0SWUVJk+e7ErTSaASFCRJcxXTBeuEBApxqgxlT7Zs2eT48eMx3t8+v96eW7duqazxgAEDLNtCQkLUk3/WuAAh1gQnTipZW4xkp5CAwyUjf+3atSjbbt68qbFyzIZ1F6accZYsWWy2Z86cWXbs2OH0cxEREbqY3Llzx21tIoQQvzfymTJlcrgdEsNz5swRdxNspxqYKFGiaAd3EeIZPHiw29tBCCEBYeR37twZZVv69OklV65cUQxyXIDH7ujJ4cqVK5b3HNG3b1/p2bOnjSePtpHAljU4/817up6j01TKGpCAwSUjX6pUKUkIQkNDtZbsunXrpGHDhpbtf//9tzRt2tTp5zAwi4UQayIfMGxHAo9YGfm6devGaL/ly5eLu+jevbsOvEK/vly5cjJ27Fi5dOmSvP/++277DkII8VcSuUvOAPnyCxYskIcPH8b4eLNmzZIPPvjAEl9v0KCBxtshgGaKoKFACcI19erV03x8xP0XLVokBQoUiE3TCSEkIImVkf/uu++ibIuMjNRc988++0yrRFmnOz4LhFxgvO1B7r11muWQIUN0IBU3kOTJk8emyYQQEtDEKU8eMgQY5Dx9+rR8/PHH8tFHH0nKlClj/PkkSZLoEhNg7GngCbElU6qk8jTSkJBg90zwcuexiA8b+c2bN0vv3r1l06ZNGhuHF+8srZIQEn+kSZ5IjXL3OTvl2JW7cTpW/sypZHxzakIFtJE/evSo9OvXT2PvzZo1U1ExZL8Q4vUEBUmSrP8bx/FDWQMY+P0XmD1E4mjkixQpogOjCMuUKVNGtmzZoouj8oCEeJusQbZ3/+PpZhDi3UYeKpFYniVCRiNPCCE+aORZu5UQQnwL92kQEOLFRD5+KOcmv6cL1gkJFNwqNUyI12KIPL1zxbJOSKBAT54QQvwYGnlCCPFjaOQJIcSPoZEnhBA/hkaeEEL8GGbXkMAgSCRxxucs6yR+xc4odOY90MiTgCA4cTLJ3v5rTzcjIMTOKHTmXdDIE0JsoNiZf8GYPCGE+DE08iQggJTBhe8+0IWyBiSQYLiGBAaGyOPrZyzrhAQK9OQJIcSPoZEnhBA/xuvDNXPnzpV169bZbMuePbuWISSEEOLjRn7t2rVaOLxdu3aWbRkzZvRomwghxFfweiMPwsLCJDw83NPNIIQQn8MnjPyxY8ekd+/ekjZtWqlcubK88sornm4S8TWCRELSZLasExIoeL2RDwoKkixZski6dOnk/PnzUrduXXn33Xdl8uTJTj8TERGhi8mdO3cSqLXEm2UNcnae6ulmEJLgeL2RxwBrrly5LK+bNWsmVatWlcaNG0utWrUcfmbEiBEyePBg8SYo2EQCBXcKnQH+dvzcyFsbeFClShXdtn79eqdGvm/fvtKzZ08bT97+OAmNO4SfQNVCmaRXnefd1i5CvFXoDFDsLACMvCMePXokT548cfp+0qRJdfFH4aewTCnd1p5AIvJxhFye9YmuZ2kxUoITe9/14W9Q6Mw78OrJUDDkq1evttk2Y8YMuXz5stSpU8dj7SI+iGHIo0tHdcE6IYFCIm8fdB07dqyGX4oWLSpnzpyRTZs2acydGTaEEOLjRj4kJESWLl0qe/bskZ07d0r69Oll5syZki1bNk83jRBCfAKvNvImJUqU0IUQQogfxeQJIYTEDRp5QgjxY3wiXEOIOwhOnoYdSQIOGnkSEAQnSSa5us3ydDMISXAYriGEED+GRp4QQvwYGnkSMLIGl2Z9ogvWiW+JnbmLp248lq/AmDwJDAxDIs7us6wT34BiZ3GHRp4Q4vVQ7Mx1GK4hhBA/hkaeEEL8GBp5QgjxY2jkCSHEj+HA6zNgfUn/IYjVoEgAQiP/DNxRq5J1Wb1D1uC5nr94uhmEJDg08gmQvsW6rIQQT8GYPCGE+DH05ElAYDx5JFcXDtf1TI36SVCiJJ5uEiEJAo08CQiMyEh5cGKbZT3I0w0iJIFguIYQQlzAV4TTfMaTP3v2rFy+fFkKFiwoadKwwg8hxPcz70D+zKlkfPPSErBG/uHDh9KyZUtZtmyZ5M6dW06fPi2jRo2Srl27erpphJAA51gcM+8SAq838oMHD5YtW7bI8ePHJVu2bLJo0SJp1KiRlC9fXipUqODp5hFCiFfj9TH5H374Qdq3b68GHjRs2FCKFSum2wkhhPiwJ3/hwgWNw5ctW9ZmO7z4nTt3Ov1cRESELia3b9/Wv3fuuPZYlSuVyOMMIeIqmZJG6nfH9Tg8lut99TB9sJz93/YC6YMlJGns/g/8H/p+X+VK5boNiO6YnmqX+RnjWUVwDC9m7969aL2xceNGm+29evUy8ufP7/RzAwcO1M9xYR/wGuA1IH7eB2fPno3Wjnq1J584cWLL4Ks1Dx48kCRJnE9m6du3r/Ts2dPyOjIyUm7cuCEZM2aUoKDYZ0irJ5Erl2b4+FpmD9vOPg+E68VX2x2XtsOD//fffyV79uzR7ufVRh4nHhwcLOfPn7fZjtfPPfec088lTZpUF2vSpUsX5/bgH+BrF5AJ284+D4TrxVfb7Wrb06ZN69sDrylSpJCKFSvKb7/9Ztl27949WbVqldSqVcujbSOEEF/Aqz15MHToUDXoCMG89NJLMmHCBMmcObN07NjR000jhBCvx6s9eVClShVZu3atToIaP368FC1aVNavXy+pUqVKsDYg9DNw4MAoISBfgG1nnwfC9eKr7U6Itgdh9DVejkwIIcTjeL0nTwghxHVo5AkhxI+hkSeEED/G67NrEpr79+/L4cOHJUOGDKp66YhHjx7J/v37JXny5PL888+Lt7V/x44dmoEEWWZ7Ll68KOfOnZOwsDA9R0+zceNGnaxmTd68eSVHjhw2254+fSr79u2TkJAQKVKkiM6f8BaOHDmi7cO14Giy3ZUrVzRxANcT/i+eBBIfe/fudfge+tX6msBw3YEDB+TJkyeqF4W+9wYuXbqk13BoaKjkyZPH4T43b96UY8eO6XX0rMlCCQXsBtqEawUJJM6uYdgfpIqjz6Ob9Blj3CVB4Ovcvn3b6NSpk5EhQwajTJkyRsaMGY3ixYsbu3fvttlv1apVRqZMmYy8efPqPiVLljTOnDljeAvvvPOOERwcbLRs2dJm+5MnT4w2bdoYyZIlM4oUKWIkTZrUGDx4sOFp0A60p1KlSpZl9uzZNvts3brVeO6554ycOXMaWbJkUUmL/fv3G54GchuFChUysmfPbpQuXVqXw4cP2+zz4YcfWs4Rf/Hak+zYscOmr7GEhYXp9PgNGzZY9jt48KBRsGBB7W/0O5bNmzd7/Ddat25dI1WqVEbZsmX191eiRAnj6NGjNvsNGzbM0ufJkiXT38Tjx48NT4JrOjQ0VPs0X758Ru7cufW6tubcuXN6DcEGwb5g/xUrVsT5u2nk/wculB9//FGNIYiIiDDq16+vF5PJzZs3jfTp0xv9+vWz7FO5cmWjWrVqhjcwY8YMo0KFCkaVKlWiGPkxY8boxXPs2DF9/eeffxohISHGkiVLDE+CH+Pvv//u9H30MX4Q7dq109dPnz41GjVqZBQtWtSIjIw0PMXJkyeN1KlTG3369NE2Adx41qxZY9ln2rRpRooUKYxdu3ZZDGzy5MmN6dOnG95EixYtjAIFClheo19hPBs2bGg5N/R/rly5jIcPH3qsnfjdZc2a1bhy5Yq+fvDggfHiiy/q79Rk+fLlel2vXbtWXx8/flyv+1GjRnnUtiRJksSYMGGCZdvnn3+uN06cg0nNmjXVnph9/Omnnxpp06Y1rl+/Hqfvp5GPhuHDh+tFZTJ16lT9Z8GjMFm8eLF6QfjRe5IjR45oW3FB1ahRI4qRh1cTHh5us61q1apGkyZNDE8b+f/+97/q1Vy9ejXK+0uXLo3Sv9u2bdNtmzZtMjxF586d1dsynQJHvPLKK0bz5s1ttjVt2lRvwt4CHBd4u6NHj7Zs27Jli/Yv+tnk1KlTui26G3J806FDB+Pll1+22dalSxejfPnyltfNmjXT69qa8PBwfeLyFLAbuPFYP03cuHFD+/OXX37R14gG4DXsiQnsjPn7iAveE9j0EhCv/Ouvv+S///2vzq4dMmSI5T3IGxcoUMBGXwKyx+Z7noz1vfXWWzJs2DDJnz9/lPch8Hbw4MFYSzYnFL1795Z27dqpVlH9+vU15mqC9kFYzjr2WqZMGY0Pe7Ltq1evlnr16mm8GmMgiLnbTzlB+7y1z01++uknjRG/++67lm1oH+LFpUv//5J05niCJ9vevXt3OXnypP4m0f9ff/21zJ8/XwYNGvTMPj9y5IiOV3kCjHOgj62va1OPa/v27frX7FfrtsPOFCpUKM59zoFXO6ZMmaKVqI4ePSovvPCC1K5d2/KeqWRp/w803/MUvXr10sHK9957z+H7t27dUgNk33a89mS7wcSJE7XdphDdq6++qgZnxYoVTvscg5vod0+2HbUOrl+/LoULF1aRKAwE4iY1Z84cHfCG8YdCoKM+h+ogfvTeMJD5/fffyxtvvGEzIIx+haCf/cCgp68XGLw2bdrIuHHjtEIcbqy40ULfysTR9ZIxY0a9/jEYCz2shAY2BNdJkyZNVJ4F18bw4cMlderUlv40/8bHb5SevB3w3jdv3qw/YhiSmjVr6j/FlD62lz02X7tlFNwFNmzYoE8dMIyQe8CCDIqrV6/q+uPHj12WbE4IUPXLNCbIhPjss8/kjz/+sFzYjvrcG9qOdi1evFiWLFmintaZM2f0ejE9YhhwnJejPsd2bzDwaDeWDh062Gz31j6HMzNr1iz1yvH0hBsrvGMYz+ja/uDBA/3rqbYjCw+/Uxh7/Fbx9PTFF19I1qxZ9T2z3fH1G6Un74RkyZJpsfCXX35Z056QHodH1pUrV9rsZz52RSd9HJ/gokD4YvTo0ZZteArBhfHJJ5+ogieMD7yG2Eo2e4IsWbLoX/Mmiz5HCqL1zQqe8N27dz3adoSPUJISHhrAjxUGHp4mqpJBhwSevTf3Obx4nAccGWvQ5wht4AnQlOiGo4P/gyfbjpvqm2++aXnqQJ/jKbBFixaacpgyZUptu6M+T5EiRRQvOSFJnz69fP7555bX6FvUrUaaJDDTtdFW67RsvLb//8QWevL/AxeJPTDuZmgAQA0TnQ4vwuTXX3/V2JmniorXqFHD4sGbixlmwjrajnPAftaSzTCaS5cu9ahks6M+hxePH2++fPn0NS5wGE3rmyv6PFGiRFKtWjXxFHXq1IliTOBZ4lowhabQtzBMZqwef3///XevkMmGcwCvGGMh9mGZqlWr6g3V+npB/8Pwx9XgxIVMmTJpH1uDQhsw7mYYBn27fPlyvb6tr5caNWp4dG6F+TRh8u2332q7GzVqpK/LlSunYT/rPsdTFs4vztdLnIZt/QhkF7Rq1cqYNWuW5qaOHDnSSJcunY7eW/Paa69pruvcuXONSZMmaUrcuHHjDG/CUXbNzp07ta04n99++03T45CNc/nyZY+1c+bMmUaDBg00pXDZsmVa1jFx4sSa7mmfVYFcdKS4IlMBKXG9e/c2PAnS+HLkyKFtQ9oe0uPSpEljjBgxwrIP0vdwDbVu3Vr7HPnaeI3tngZ9j4wP5GY7om/fvpou/P333+u+ONf33nvP8CT4bWIOSP/+/Y0//vjDGD9+vPY50lhNkKGFa+WNN97QPg8PD9fsoe3bt3u07W+++abaiZUrV2pqJLJmYEOswfngN4pr6eeff9aMoHr16sX5u6lCaQXu+L/88osWD8+ZM6c0bdpUBwLtPaD//Oc/Kn8Mj7N58+by9ttvizfRo0cP9eAHDBhgsx2ewZdffqneEAax+vTp43RWb0KxZs0amTlzpnrFGDxGyAN1A6xBqGDy5Mn65AFvDAOF1rF8T4E2I0yG2c8IMyGU0LBhQ5t9Dh06JGPGjJETJ07o08nHH3/sFbOkEcqDdwn5bkfgqQPhHAxwov/r1q0r4eHh+gTlSf7880+ZPn26XsPw7F977TX9DVrPNMb4yKhRo7Tvc+TIoVk59hk3CQ3CMyNHjtRsGvzmOnXqpE/c9sydO1dmz56tT02QWUcZUzNu7yo08oQQ4scwJk8IIX4MjTwhhPgxNPKEEOLH0MgTQogfQyNPCCF+DI08IYT4MTTyhBDix9DIE78Dk3ygBgl9G2/l2rVr2kb70ofxBXRS/v777yjbUVIRE3XswXR6yPkS34dGnngFUM5ctWqVLFy4UGfm2muzxwZIAGMWsrV+tztAfdzobh4wmAsWLIjRsTAbE21ELYD4Bn0JES+IvtkDPfZTp05F2Q4dFXzGWT1Y4jvQyBOPAk924MCBWmwZf2fMmKHSACgqvXXrVq/672B6edu2bVXYyxGdO3fWKeneBqQ6cONDYRl77x6KpZDWtheLg9Da+++/L/3790/g1hK3E2f1G0LiAMSaUJh5/fr1lm0okwZhKYhPmTVpwfz581VQC6XoFi5caFNkfd++fcavv/6qBajPnj2rpdTsCzyjVibKCULcyr7UIMqxodjyo0ePtBYrvuvixYsO66Fal5szQQFvfCeE1v799189FhaUd0ONV/t6tOvWrdP9zRqfOKdFixY5bZM1EJVDGb7Vq1dr+b5ngXKDQ4YMsbxGW9q2basCZCiKjsL1KJRuX9oPJSUhCHb69OlnfgfxXmjkiceAoYUa34ABA6K8h2LGKHTcpk0by7aUKVMaderUMfLkyaPFvKFKCKBICfW+WrVqqULoq6++GsXIQ00RRZGrV6+u+2EdqpYmqDGLz6AodPHixbVWqFmA2xoU6sZ+uKlYgzbAUKLw9aVLl4y33npLF6h9QhURhvbevXtOjTzakiVLFptjmm2yNuRQ6ETba9eurbVMocgJtUVn3Lp1S9UmrW+iOAfUKsbNcODAgapQiv8F1DTtwf9g8uTJTo9PvB8aeeIx4C3DiDkypqBTp05GtmzZbIw8vM67d+/aFJ2Gt7lhwwbLU0DdunVtjDyMGJ4W4KGbrFq1ykiRIoVx/vx5G4OK74wOeMFhYWFGz549LdvwnZBthsF0BAx56dKlVb46LkYenju8b3jYJnPmzFFDb11c3pq//vpLj4GnAut+x40iIiLCYuSdgRumpyWGSdxgZSjiMcyBUWfVhrAdss/WoMgFii1YS7OixqdZ5xNSuJBnReEIE8T5UQEJMWgUgjEHdVGCD/Fos3ADQDWw6ICkLaoRQbIZ0rEoroESgKiahHi9Cb7DLAsIeWpUiULt4Lgwbdo0lSnevXu37Nq1S78DYxrIjsG2ypUrO8ziAWaFJ4AiFKiuhKIrGGcoWrSoFC9e3GFJQlQ0Mo9BfBMaeeIxUqVKpX8xKAhjYg+Mi7VBByi5Zw2MKAy4NdCltwbZIyiqjUwSa1AEGmURozu+I1DiD7VoUeWpcePGMnXqVK2YZGrz4+aF18gYgvHEICZuMI7OMTbgPNBX9ucBHXtndUDNPoY+udmXaA9uEqg1igpFuLF16dJFb1zIqLEGA7L2fUR8Cxp54jHKly+vfzdt2iT58+eP8v4///wTpayidXEIgLqdyOm25ubNmzavYdTwVID0x2dhf3xHIBMIxWRg3PEEgWImMJgmKCQCg75nzx5LYRMU3IBhdQb2s8+Zty/qjPMIDQ2N0XmYFCxYUP+ePHnSUk8UoFweCnij8AmymVDSEgVbUBzELHdpfg7Fc4jvwhRK4jFQBBu1UlHgGJ62NciX37hxo4ZeogOF1v/66y8bw26fqw7DhWPB6Fpz48aNKIY0pqAyFUJCI0aM0FCIdUUoePIFChSwGHh8B0I60YEKRvDSrc8D1cfszwPfaZ/Xju9zNqkKTzlhYWGyYcMGyzaEwFDtyRqEerANTx8mWEfuvyfrupK4Q0+eeBSUcoNXjPJsHTt21FgxYtcoPQcDal9+0R6Ufhs3bpxUr15dP4+Yu7VXDZo1a6a54ihQ3a1bNy3tiJJ9CLcgJp8sWbJYt7t+/fpafu6rr77ScovW4RIY/NatW6uBxfnA40fcHIbcGSh5iPKA8JoRMkH7fv75Z5t9cH4oUYl9EWLB9+PpAEW2sb+zcoi4ISF/H3nvYNu2bVr6EaEmxPIRylm2bJnecK1DXQgL4UZsX46R+Bb05IlHQW1UGHV48wgNYNYrQh2YCIU6pNbAAMJAW4PBQni8TZo00c/A8K1fv14n/pixZBg/GEwY26tXr2oYCMYM9TYR7gEIUeAzzmLb9mCAF23GZ0zjaX1TmTdvnoZC8B0ffvihTJkyxcYjRjvxWXOwE9+LdiP8g/bhBvHHH3/YtAl/4cmjxjDGImCsEfOHoccAsDMwSevgwYOWcBFuULjBYdAVoS7US0VfL1682PIZDOpOmjRJPv300xj1B/FeWOOVkAAAISxkAKGAtDWDBg3SJ49SpUrZbD9w4IDemDAYS3wbGnlCAhiEZMqVK2fJDCL+B408IYT4MYzJE0KIH0MjTwghfgyNPCGE+DE08oQQ4sfQyBNCiB9DI08IIX4MjTwhhPgxNPKEEOLH0MgTQogfQyNPCCHiv/wfq1LeS/TKlfQAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 400x300 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "rng = np.random.default_rng(42)                        ### fixed seed: same numbers every run\n",
    "order_values = rng.normal(loc=55, scale=12, size=200)  ### 200 online orders, in $\n",
    "\n",
    "fig, ax = plt.subplots(figsize=(4, 3))\n",
    "ax.hist(order_values, bins=15, edgecolor='white')      ### white edges separate the bins\n",
    "ax.axvline(np.median(order_values), color='black', ls='--', label='Median')   ### vertical reference line\n",
    "ax.set_xlabel('Order Value ($)')\n",
    "ax.set_ylabel('Number of Orders')\n",
    "ax.set_title('Online Order Values')\n",
    "ax.legend()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a78aba2e",
   "metadata": {},
   "source": [
    "The dashed line marks the median order, about \\$55. Most orders fall between about \\$40 and \\$70, with fewer very small or very large orders. The number of **bins** changes what you see: too few bins hide the shape, and too many make it noisy. Try a few values:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "68af6d01",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x300 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "rng = np.random.default_rng(42)\n",
    "order_values = rng.normal(loc=55, scale=12, size=200)\n",
    "\n",
    "fig, axes = plt.subplots(1, 3, figsize=(12, 3), sharey=False)\n",
    "for ax, bins in zip(axes, [5, 15, 60]):\n",
    "    ax.hist(order_values, bins=bins)\n",
    "    ax.set_title(f'bins={bins}')\n",
    "    ax.set_xlabel('Order Value ($)')\n",
    "axes[0].set_ylabel('Number of Orders')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "d7ad745f",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-08-31T18:39:33.088257Z",
     "iopub.status.busy": "2026-08-31T18:39:33.088179Z",
     "iopub.status.idle": "2026-08-31T18:39:33.089948Z",
     "shell.execute_reply": "2026-08-31T18:39:33.089725Z"
    },
    "tags": [
     "thebe-interactive"
    ]
   },
   "outputs": [],
   "source": [
    "### Exercise: Bar Chart and Histogram\n",
    "#   The following data represent quarterly sales figures ($K) for four products\n",
    "#   and daily website visits over 100 days.\n",
    "#\n",
    "#   products = ['Laptop', 'Phone', 'Tablet', 'Watch']\n",
    "#   sales    = [320, 580, 140, 210]\n",
    "#   visits   = np.random.default_rng(0).normal(loc=500, scale=80, size=100)\n",
    "#\n",
    "#   1. Create a figure with two side-by-side subplots: fig, (ax1, ax2) = plt.subplots(1, 2, figsize=(10, 4))\n",
    "#   2. On ax1, draw a bar chart of products vs. sales.\n",
    "#      Set the title to \"Quarterly Product Sales\", x-label \"Product\", y-label \"Sales ($K)\".\n",
    "#   3. On ax2, draw a histogram of visits using ax2.hist(visits, bins=15), \n",
    "#      color='orange', edgecolor='white', and alpha=0.7.\n",
    "#      Set the title to \"Daily Website Visits\", x-label \"Visits\", y-label \"Frequency\".\n",
    "#   4. Call plt.tight_layout() before displaying.\n",
    "### Your code starts here.\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "### Your code ends here."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "d954748a",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-08-31T18:39:33.091020Z",
     "iopub.status.busy": "2026-08-31T18:39:33.090953Z",
     "iopub.status.idle": "2026-08-31T18:39:33.177139Z",
     "shell.execute_reply": "2026-08-31T18:39:33.176924Z"
    },
    "tags": [
     "hide-input"
    ]
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x400 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "### Solution\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "rng = np.random.default_rng(0)\n",
    "products = ['Laptop', 'Phone', 'Tablet', 'Watch']\n",
    "sales = [320, 580, 140, 210]\n",
    "visits = rng.normal(loc=500, scale=80, size=100)\n",
    "\n",
    "fig, (ax1, ax2) = plt.subplots(1, 2, figsize=(10, 4))\n",
    "ax1.bar(products, sales)\n",
    "ax1.set_title('Quarterly Product Sales')\n",
    "ax1.set_xlabel('Product')\n",
    "ax1.set_ylabel('Sales ($K)')\n",
    "ax2.hist(visits, bins=15, color='orange', edgecolor='white', alpha=0.7)\n",
    "ax2.set_title('Daily Website Visits')\n",
    "ax2.set_xlabel('Visits')\n",
    "ax2.set_ylabel('Frequency')\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "470e5479",
   "metadata": {},
   "source": [
    "```{index} boxplot, interquartile range, outlier\n",
    "```\n",
    "### Boxplot\n",
    "\n",
    "A **boxplot** (also called a box-and-whisker plot) summarizes a distribution in one compact shape:\n",
    "\n",
    "- **The box** spans from the first quartile (Q1) to the third quartile (Q3), so it holds the middle 50% of the values. Its height is the **interquartile range** (IQR).\n",
    "- **The line** inside the box marks the **median**.\n",
    "- **The whiskers** reach the most extreme values that lie within 1.5 × IQR of the box.\n",
    "- **Points beyond the whiskers** are plotted individually as **outliers**.\n",
    "\n",
    "When there are no outliers, the whiskers reach the minimum and maximum. Boxplots are useful for comparing distributions across groups."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "319cc23f",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-08-31T18:39:33.057014Z",
     "iopub.status.busy": "2026-08-31T18:39:33.056928Z",
     "iopub.status.idle": "2026-08-31T18:39:33.087030Z",
     "shell.execute_reply": "2026-08-31T18:39:33.086755Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 400x300 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "rng = np.random.default_rng(7)                         ### fixed seed: same numbers every run\n",
    "### list comprehension to create delivery times (days) for three warehouses\n",
    "delivery_days = [rng.normal(mean, sd, 100) for mean, sd in [(3.0, 0.5), (4.0, 0.8), (3.5, 0.9)]]\n",
    "\n",
    "fig, ax = plt.subplots(figsize=(4, 3))\n",
    "ax.boxplot(delivery_days, patch_artist=True,                   ### patch_artist=True lets the boxes be filled\n",
    "           boxprops={'facecolor': 'lightsteelblue'})\n",
    "ax.set_xticks([1, 2, 3], ['Warehouse A', 'Warehouse B', 'Warehouse C'])\n",
    "ax.set_ylim(0, 6.5)                                            ### start at zero (see Plot Range)\n",
    "ax.set_ylabel('Delivery Time (days)')\n",
    "ax.set_title('Delivery Time by Warehouse')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "999ec684",
   "metadata": {},
   "source": [
    "Warehouse A is the fastest and most consistent. Warehouse B is the slowest, with a median near 4 days. Warehouse C sits in between on the median, but its tall box and long whiskers make it the least predictable, so a promised delivery date is hardest to keep there."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "8e097227",
   "metadata": {
    "tags": [
     "thebe-interactive"
    ]
   },
   "outputs": [],
   "source": [
    "### Exercise: Compare Two Carriers\n",
    "#   1. Create the delivery times (days) for two shipping carriers:\n",
    "#      rng = np.random.default_rng(1)\n",
    "#      carrier_a = rng.normal(2.5, 0.4, 80)\n",
    "#      carrier_b = rng.normal(3.0, 0.9, 80)\n",
    "#   2. Use fig, ax = plt.subplots(figsize=(4, 3)).\n",
    "#   3. Draw a boxplot of [carrier_a, carrier_b].\n",
    "#   4. Label the boxes with ax.set_xticks([1, 2], ['Carrier A', 'Carrier B']),\n",
    "#      set the y-label \"Delivery Time (days)\", and the title \"Delivery Time by Carrier\".\n",
    "### Your code starts here.\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "### Your code ends here."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "0e126029",
   "metadata": {
    "tags": [
     "hide-input"
    ]
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 400x300 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "### Solution\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "rng = np.random.default_rng(1)\n",
    "carrier_a = rng.normal(2.5, 0.4, 80)\n",
    "carrier_b = rng.normal(3.0, 0.9, 80)\n",
    "\n",
    "fig, ax = plt.subplots(figsize=(4, 3))\n",
    "ax.boxplot([carrier_a, carrier_b])\n",
    "ax.set_xticks([1, 2], ['Carrier A', 'Carrier B'])\n",
    "ax.set_ylabel('Delivery Time (days)')\n",
    "ax.set_title('Delivery Time by Carrier')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "204dd423",
   "metadata": {},
   "source": [
    "```{index} axes methods, plot parameters\n",
    "```\n",
    "## Quick Reference\n",
    "\n",
    "The settings used most often in this chapter, in one place. Figure-level settings (`figsize`, `dpi`, `fig.suptitle()`, `fig.savefig()`, `sharey`) are covered in {doc}`0602-figures-axes`.\n",
    "\n",
    "| Task | Code |\n",
    "|---|---|\n",
    "| Title and axis labels | `ax.set_title()`, `ax.set_xlabel()`, `ax.set_ylabel()` |\n",
    "| Legend | `label=` on each series, then `ax.legend(loc=...)` |\n",
    "| Axis range | `ax.set_xlim(min, max)`, `ax.set_ylim(min, max)` |\n",
    "| Grid | `ax.grid(True)` |\n",
    "| Line color | `color=` or `c=`: a name (`'red'`) or a hex code (`'#FF8C00'`) |\n",
    "| Line width | `linewidth=` or `lw=` |\n",
    "| Line style | `linestyle=` or `ls=`: `'-'`, `'--'`, `'-.'`, `':'` |\n",
    "| Markers | `marker=` (`'o'`, `'s'`, `'^'`, `'x'`), `markersize=` or `ms=` |\n",
    "| Transparency | `alpha=`, from 0 (invisible) to 1 (opaque) |\n",
    "| Several at once | a format string such as `'r--'` (red, dashed) |\n",
    "| Plot types | `ax.plot()`, `ax.bar()`, `ax.scatter()`, `ax.hist(bins=...)`, `ax.boxplot()` |\n",
    "| Style for later charts | `plt.style.use()`, `plt.rcParams[...]` |\n",
    "\n",
    "For every `ax.plot()` option, see [matplotlib.axes.Axes.plot](https://matplotlib.org/stable/api/_as_gen/matplotlib.axes.Axes.plot.html)."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "af05b2f9",
   "metadata": {},
   "source": [
    "## Summary\n",
    "\n",
    "- Figure-level methods (`fig.suptitle()`, `fig.tight_layout()`, `fig.savefig()`) act on the whole figure; axes methods (`ax.set_title()`, `ax.set_xlim()`, `ax.legend()`, `ax.grid()`) act on one chart.\n",
    "- `rcParams` and style sheets (`plt.style.use()`) change the defaults for every chart drawn afterward.\n",
    "- Give each series a `label=` and call `ax.legend()`; use `loc=` to move the legend off the data.\n",
    "- `ax.set_xlim()` and `ax.set_ylim()` zoom in on part of the data or start an axis at zero.\n",
    "- Colors (names or hex codes), `alpha`, line style, line width, and markers make series easy to tell apart. A format string such as `'r--'` sets several of these at once.\n",
    "- Match the plot type to the question: a line plot for a trend, a bar plot for comparing categories, a scatter plot for a relationship, and a histogram or boxplot for a distribution.\n",
    "\n",
    "A practical way to choose among the main Matplotlib workflows is:\n",
    "\n",
    "- Use `plt.plot()` for quick, one-off exploration.\n",
    "- Use `plt.subplots()` for most plotting tasks.\n",
    "- Use `fig.add_axes()` when you need manual placement or inset axes."
   ]
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    "## Further Reading\n",
    "\n",
    "- [Customizing Matplotlib with style sheets and rcParams](https://matplotlib.org/stable/users/explain/customizing.html): every default you can change, and how to make your own style.\n",
    "- [Plot types](https://matplotlib.org/stable/plot_types/index.html): a one-page overview of the chart types Matplotlib can draw.\n",
    "- [Examples gallery](https://matplotlib.org/stable/gallery/index.html): hundreds of charts with the code that made them."
   ]
  }
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