sitc/ml21/visualization/02_Comparison_Charts.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "source": [
    "![](images/EscUpmPolit_p.gif \"UPM\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "source": [
    "# Course Notes for Learning Intelligent Systems"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "source": [
    "Department of Telematic Engineering Systems, Universidad Politécnica de Madrid, © Carlos A. Iglesias"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "source": [
    "## [Introduction to  Visualization](00_Intro_Visualization.ipynb)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "# Comparison charts\n",
    "Charts for comparing  data."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>total_bill</th>\n",
       "      <th>tip</th>\n",
       "      <th>sex</th>\n",
       "      <th>smoker</th>\n",
       "      <th>day</th>\n",
       "      <th>time</th>\n",
       "      <th>size</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>16.99</td>\n",
       "      <td>1.01</td>\n",
       "      <td>Female</td>\n",
       "      <td>No</td>\n",
       "      <td>Sun</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>10.34</td>\n",
       "      <td>1.66</td>\n",
       "      <td>Male</td>\n",
       "      <td>No</td>\n",
       "      <td>Sun</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>21.01</td>\n",
       "      <td>3.50</td>\n",
       "      <td>Male</td>\n",
       "      <td>No</td>\n",
       "      <td>Sun</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   total_bill   tip     sex smoker  day    time  size\n",
       "0       16.99  1.01  Female     No  Sun  Dinner     2\n",
       "1       10.34  1.66    Male     No  Sun  Dinner     3\n",
       "2       21.01  3.50    Male     No  Sun  Dinner     3"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "from matplotlib import pyplot as plt\n",
    "import seaborn as sns\n",
    "import warnings\n",
    "warnings.simplefilter(action='ignore', category=FutureWarning)\n",
    "\n",
    "df = sns.load_dataset('tips')\n",
    "df.head(3)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "### Countplot\n",
    "Distribution of values of a categorical variable. It can be seen like a histogram. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='sex', ylabel='count'>"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.countplot(x='sex', data=df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='sex', ylabel='count'>"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.countplot(x='sex', hue='day',  data=df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='count', ylabel='sex'>"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# We cannnot use both x and y in a countplot\n",
    "sns.countplot(y='sex', hue='time',  data=df)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "## Barplot\n",
    "Show point estimates and confidence intervals (ci) as rectangular bars. By default, ci = 95."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='sex', ylabel='tip'>"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.barplot(x=\"sex\", y=\"tip\", data=df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='time', ylabel='tip'>"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.barplot(x=\"time\", y=\"tip\", data=df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='day', ylabel='tip'>"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.barplot(x=\"day\", y=\"tip\", data=df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='day', ylabel='tip'>"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.barplot(x=\"day\", y=\"tip\", hue=\"sex\", data=df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='tip', ylabel='day'>"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.barplot(x=\"tip\", y=\"day\", data=df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='tip', ylabel='day'>"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.barplot(x=\"tip\", y=\"day\", hue='sex', data=df)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "source": [
    "# References\n",
    "[Seaborn](http://seaborn.pydata.org/index.html) documentation"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "source": [
    "## Licence\n",
    "The notebook is freely licensed under under the [Creative Commons Attribution Share-Alike license](https://creativecommons.org/licenses/by/2.0/).  \n",
    "\n",
    "© Carlos A. Iglesias, Universidad Politécnica de Madrid."
   ]
  }
 ],
 "metadata": {
  "datacleaner": {
   "position": {
    "top": "50px"
   },
   "python": {
    "varRefreshCmd": "try:\n    print(_datacleaner.dataframe_metadata())\nexcept:\n    print([])"
   },
   "window_display": false
  },
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.11.7"
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  "latex_envs": {
   "LaTeX_envs_menu_present": true,
   "autocomplete": true,
   "bibliofile": "biblio.bib",
   "cite_by": "apalike",
   "current_citInitial": 1,
   "eqLabelWithNumbers": true,
   "eqNumInitial": 1,
   "hotkeys": {
    "equation": "Ctrl-E",
    "itemize": "Ctrl-I"
   },
   "labels_anchors": false,
   "latex_user_defs": false,
   "report_style_numbering": false,
   "user_envs_cfg": false
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}