intelligent-system/week8-230501.ipynb

{
 "cells": [
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# seabon"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- 독립관계 : 아무런 관련이 없음\n",
    "- 상관관계 : 두 개의 변수들이 함께 변화하는 관계\n",
    "- 인과관계 : 한 변수가 다른 변수의 직접적인 원인이 됨\n",
    "- 상호관계 : 두 변수가 서로 영향을 주는 관계"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "import seaborn as sns\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": []
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "상관계수\n",
    "corrcoed()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[1., 1.],\n",
       "       [1., 1.]])"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.random.seed(85)\n",
    "x= np.arange(0,10)\n",
    "y1=x*2\n",
    "np.corrcoef(x,y1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "# x=np.arange(0,10)\n",
    "y2=x**3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[1.        , 0.90843373],\n",
       "       [0.90843373, 1.        ]])"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.corrcoef(x,y2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[1.       , 0.5002124],\n",
       "       [0.5002124, 1.       ]])"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.random.seed(85)\n",
    "y3=np.random.randint(0,100,size=10)\n",
    "np.corrcoef(x,y3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[1.         0.90843373 0.5002124 ]\n",
      " [0.90843373 1.         0.43149426]\n",
      " [0.5002124  0.43149426 1.        ]]\n"
     ]
    }
   ],
   "source": [
    "result=np.corrcoef((x,y2,y3)) #튜플\n",
    "print(result)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.colorbar.Colorbar at 0x1e2d567c640>"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.imshow(result)\n",
    "plt.colorbar()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.PairGrid at 0x1e2d5765ca0>"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 540x540 with 12 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df =pd.DataFrame({'x': x, \"y2\":y2, \"y3\":y3})\n",
    "sns.pairplot(df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.FacetGrid at 0x1e2d5e9be80>"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 777.475x360 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.set_theme(style=\"darkgrid\")\n",
    "tips=sns.load_dataset(\"tips\")\n",
    "sns.relplot(data=tips, x=\"total_bill\", y=\"tip\",col=\"time\",\n",
    "            hue=\"smoker\",style=\"smoker\",size=\"size\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>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",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>23.68</td>\n",
       "      <td>3.31</td>\n",
       "      <td>Male</td>\n",
       "      <td>No</td>\n",
       "      <td>Sun</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>24.59</td>\n",
       "      <td>3.61</td>\n",
       "      <td>Female</td>\n",
       "      <td>No</td>\n",
       "      <td>Sun</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>4</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\n",
       "3       23.68  3.31    Male     No  Sun  Dinner     2\n",
       "4       24.59  3.61  Female     No  Sun  Dinner     4"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tips.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.FacetGrid at 0x1e2d5fb1fd0>"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 360x360 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.displot(tips[\"tip\"],kde=False,bins=10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "tips[]"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "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": "3.9.2"
  },
  "orig_nbformat": 4
 },
 "nbformat": 4,
 "nbformat_minor": 2
}