DV.boxplot2.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "6fa3c224-37a0-4f6e-a788-060c4826a778",
   "metadata": {},
   "source": [
    "# BOXPLOT ÇAPRAZLAMALAR"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "4f0a86d9-e292-489b-805e-a9c7d190ca5e",
   "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": 1,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import seaborn as sns\n",
    "tips = sns.load_dataset(\"tips\")\n",
    "df = tips.copy()\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "873da8ff-7322-48ea-9e8d-1fb704c4de0c",
   "metadata": {},
   "source": [
    "* Hangi günler daha fazla kazanıyoruz"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "2add1c3d-7d46-4e41-a1da-e753cea04f82",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.boxplot(x = \"day\", y = \"total_bill\", data = df);"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5e7bff81-8afc-4a2c-9e8c-98db3270a252",
   "metadata": {},
   "source": [
    "* Sabah mı akşam mı daha çok kazanıyoruz"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "2deebbb1-10cf-4ebc-b8b6-965bda69bd7c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.boxplot(x = \"time\", y = \"total_bill\", data = df);"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ea4968d1-e74a-4a66-99d4-1abed7c5c9d0",
   "metadata": {},
   "source": [
    "* Kişi sayısı kazanç"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "793caa0f-03c5-4bbd-b360-54b04213e684",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.boxplot(x = \"size\", y = \"total_bill\", data = df);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "b6a23f3a-8900-4419-be72-b3e59fb7b114",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.boxplot(x = \"day\", y = \"total_bill\", hue = \"sex\", data = df);"
   ]
  }
 ],
 "metadata": {
  "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": "3.12.4"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}