data visualization2_막대그래프(sports).ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "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>Male</th>\n",
       "      <th>Female</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Swimming</th>\n",
       "      <td>103</td>\n",
       "      <td>178</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Baseball</th>\n",
       "      <td>363</td>\n",
       "      <td>289</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Basketball</th>\n",
       "      <td>151</td>\n",
       "      <td>97</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Golf</th>\n",
       "      <td>154</td>\n",
       "      <td>232</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Soccer</th>\n",
       "      <td>413</td>\n",
       "      <td>109</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Bowling</th>\n",
       "      <td>88</td>\n",
       "      <td>129</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            Male  Female\n",
       "Swimming     103     178\n",
       "Baseball     363     289\n",
       "Basketball   151      97\n",
       "Golf         154     232\n",
       "Soccer       413     109\n",
       "Bowling       88     129"
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "\n",
    "df = pd.read_csv('C:/Users/Kwon JaeWoo/Desktop/codeit_데이터사이언스 입문/3_2sports.csv', index_col = 0)\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df.plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df.plot(kind='bar')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df.plot(kind='barh')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df.plot(kind='bar', stacked =True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Swimming      178\n",
       "Baseball      289\n",
       "Basketball     97\n",
       "Golf          232\n",
       "Soccer        109\n",
       "Bowling       129\n",
       "Name: Female, dtype: int64"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['Female']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAXcAAAEkCAYAAADU2nGnAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjMuMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8vihELAAAACXBIWXMAAAsTAAALEwEAmpwYAAAZu0lEQVR4nO3df7xcdX3n8debBNGKtsHcsDFAQzFUoZagl9SWtvKrAtI1aIsbWll2Fx/RbfzBtmsbtLtSXCrtFn10W2GNhTWPFqGh4kIXRCCAiBXChYIQIBIlQiSSAEKRKprw3j/OGTMkc38kM3PPvd95Px+P+5iZ75yZ+Rwued8z3/P9fo9sExERZdmj6QIiIqL3Eu4REQVKuEdEFCjhHhFRoIR7RESBEu4REQUaN9wlvVTSGkn3SFor6U/q9n0kXS/pofp2VttrzpK0XtI6Scf3cwciImJnGm+cuyQBL7f9fUl7ArcCHwTeATxl+zxJy4FZtv9I0iHApcAi4NXADcDBtreN9hmzZ8/2/Pnze7JDERGD4s4773zC9lCn52aO92JX6f/9+uGe9Y+BxcBRdftK4Gbgj+r2y2w/DzwsaT1V0H9ttM+YP38+IyMjE9mXiIioSfr2aM9NqM9d0gxJdwObgett3w7sa3sTQH07p958HvBo28s31m0RETFJJhTutrfZXgjsByyS9AtjbK5Ob7HTRtJSSSOSRrZs2TKhYiMiYmJ2abSM7aepul9OAB6XNBegvt1cb7YR2L/tZfsBj3V4rxW2h20PDw117DKKiIjdNJHRMkOSfqa+/zLgOOBB4Crg9Hqz04Er6/tXAUsk7SXpQGABsKbHdUdExBjGPaEKzAVWSppB9cdgle3/J+lrwCpJZwCPAKcA2F4raRVwP7AVWDbWSJmIiOi9cYdCTobh4WFntExExK6RdKft4U7PZYZqRESBEu4REQVKuEdEFGgiJ1SjIfOXXz2pn7fhvJMm9fMion9y5B4RUaCEe0REgRLuEREFSrhHRBQo4R4RUaCEe0REgRLuEREFSrhHRBQo4R4RUaCEe0REgRLuEREFSrhHRBQo4R4RUaCEe0REgRLuEREFSrhHRBQo4R4RUaCEe0REgRLuEREFSrhHRBQo4R4RUaCEe0REgRLuEREFGjfcJe0v6SZJD0haK+mDdfvZkr4j6e76561trzlL0npJ6yQd388diIiInc2cwDZbgT+wfZekVwB3Srq+fu6Ttv+ifWNJhwBLgEOBVwM3SDrY9rZeFh4REaMb98jd9ibbd9X3nwUeAOaN8ZLFwGW2n7f9MLAeWNSLYiMiYmJ2qc9d0nzgcOD2uul9kr4u6WJJs+q2ecCjbS/byNh/DCIioscmHO6S9gY+D5xp+1+AC4GDgIXAJuD81qYdXu4O77dU0oikkS1btuxq3RERMYYJhbukPamC/RLbVwDYftz2NtsvAJ9he9fLRmD/tpfvBzy243vaXmF72Pbw0NBQN/sQERE7mMhoGQEXAQ/Y/kRb+9y2zd4O3FffvwpYImkvSQcCC4A1vSs5IiLGM5HRMkcCpwH3Srq7bvswcKqkhVRdLhuA9wDYXitpFXA/1UibZRkpExExucYNd9u30rkf/ZoxXnMucG4XdUVERBcyQzUiokAJ94iIAiXcIyIKlHCPiChQwj0iokAJ94iIAiXcIyIKNJFJTBGxG+Yvv3pSP2/DeSdN6ufF1JYj94iIAiXcIyIKlHCPiChQwj0iokAJ94iIAiXcIyIKlHCPiChQwj0iokAJ94iIAiXcIyIKlHCPiChQwj0iokAJ94iIAiXcIyIKlHCPiChQwj0iokAJ94iIAiXcIyIKlHCPiCjQuOEuaX9JN0l6QNJaSR+s2/eRdL2kh+rbWW2vOUvSeknrJB3fzx2IiIidTeTIfSvwB7ZfB7wJWCbpEGA5sNr2AmB1/Zj6uSXAocAJwAWSZvSj+IiI6GzccLe9yfZd9f1ngQeAecBiYGW92Urg5Pr+YuAy28/bfhhYDyzqcd0RETGGXepzlzQfOBy4HdjX9iao/gAAc+rN5gGPtr1sY92243stlTQiaWTLli27UXpERIxmwuEuaW/g88CZtv9lrE07tHmnBnuF7WHbw0NDQxMtIyIiJmBC4S5pT6pgv8T2FXXz45Lm1s/PBTbX7RuB/dtevh/wWG/KjYiIiZjIaBkBFwEP2P5E21NXAafX908HrmxrXyJpL0kHAguANb0rOSIixjNzAtscCZwG3Cvp7rrtw8B5wCpJZwCPAKcA2F4raRVwP9VIm2W2t/W68IiIGN244W77Vjr3owMcO8przgXO7aKuiIjoQmaoRkQUKOEeEVGghHtERIES7hERBUq4R0QUKOEeEVGghHtERIES7hERBUq4R0QUKOEeEVGgiawtM2XNX371pH7ehvNOmtTPi4jYXTlyj4goUMI9IqJACfeIiAIl3CMiCpRwj4goUMI9IqJACfeIiAIl3CMiCpRwj4goUMI9IqJACfeIiAIl3CMiCpRwj4goUMI9IqJACfeIiAIl3CMiCjRuuEu6WNJmSfe1tZ0t6TuS7q5/3tr23FmS1ktaJ+n4fhUeERGjm8iR+2eBEzq0f9L2wvrnGgBJhwBLgEPr11wgaUavio2IiIkZN9xt3wI8NcH3WwxcZvt52w8D64FFXdQXERG7oZs+9/dJ+nrdbTOrbpsHPNq2zca6bSeSlkoakTSyZcuWLsqIiIgd7W64XwgcBCwENgHn1+3qsK07vYHtFbaHbQ8PDQ3tZhkREdHJboW77cdtb7P9AvAZtne9bAT2b9t0P+Cx7kqMiIhdtVvhLmlu28O3A62RNFcBSyTtJelAYAGwprsSIyJiV80cbwNJlwJHAbMlbQQ+ChwlaSFVl8sG4D0AttdKWgXcD2wFltne1pfKIyJiVOOGu+1TOzRfNMb25wLndlNURER0JzNUIyIKlHCPiChQwj0iokAJ94iIAiXcIyIKlHCPiChQwj0iokAJ94iIAiXcIyIKNO4M1YiIQTN/+dWT+nkbzjup5++ZI/eIiAIl3CMiCpRwj4goUMI9IqJACfeIiAIl3CMiCpRwj4goUMI9IqJACfeIiAIl3CMiCpRwj4goUMI9IqJACfeIiAIl3CMiCpQlfyNil5WwJG7pcuQeEVGghHtERIHGDXdJF0vaLOm+trZ9JF0v6aH6dlbbc2dJWi9pnaTj+1V4RESMbiJH7p8FTtihbTmw2vYCYHX9GEmHAEuAQ+vXXCBpRs+qjYiICRk33G3fAjy1Q/NiYGV9fyVwclv7Zbaft/0wsB5Y1JtSIyJiona3z31f25sA6ts5dfs84NG27TbWbTuRtFTSiKSRLVu27GYZERHRSa9PqKpDmzttaHuF7WHbw0NDQz0uIyJisO3uOPfHJc21vUnSXGBz3b4R2L9tu/2Ax7opMMqVsdIR/bO7R+5XAafX908HrmxrXyJpL0kHAguANd2VGBERu2rcI3dJlwJHAbMlbQQ+CpwHrJJ0BvAIcAqA7bWSVgH3A1uBZba39an2iIgYxbjhbvvUUZ46dpTtzwXO7aaoiIjoTmaoRkQUKOEeEVGghHtERIES7hERBUq4R0QUKOEeEVGghHtERIES7hERBUq4R0QUKOEeEVGghHtERIES7hERBUq4R0QUKOEeEVGghHtERIES7hERBUq4R0QUKOEeEVGghHtERIES7hERBUq4R0QUKOEeEVGghHtERIES7hERBUq4R0QUKOEeEVGgmd28WNIG4FlgG7DV9rCkfYC/B+YDG4B32v5ed2VGRMSu6MWR+9G2F9oerh8vB1bbXgCsrh9HRMQk6ke3zGJgZX1/JXByHz4jIiLG0G24G7hO0p2SltZt+9reBFDfzunyMyIiYhd11ecOHGn7MUlzgOslPTjRF9Z/DJYCHHDAAV2WERER7bo6crf9WH27GfgCsAh4XNJcgPp28yivXWF72Pbw0NBQN2VERMQOdjvcJb1c0ita94G3APcBVwGn15udDlzZbZEREbFruumW2Rf4gqTW+3zO9rWS7gBWSToDeAQ4pfsyIyJiV+x2uNv+FnBYh/YngWO7KSoiIrqTGaoREQVKuEdEFCjhHhFRoIR7RESBEu4REQVKuEdEFCjhHhFRoIR7RESBEu4REQVKuEdEFCjhHhFRoIR7RESBEu4REQVKuEdEFCjhHhFRoIR7RESBEu4REQVKuEdEFCjhHhFRoIR7RESBEu4REQVKuEdEFCjhHhFRoIR7RESBEu4REQVKuEdEFCjhHhFRoL6Fu6QTJK2TtF7S8n59TkRE7Kwv4S5pBvAp4ETgEOBUSYf047MiImJn/TpyXwSst/0t2z8CLgMW9+mzIiJiB/0K93nAo22PN9ZtERExCWS7928qnQIcb/vd9ePTgEW239+2zVJgaf3w54F1PS9kdLOBJybx8yZb9m96K3n/St43mPz9+1nbQ52emNmnD9wI7N/2eD/gsfYNbK8AVvTp88ckacT2cBOfPRmyf9NbyftX8r7B1Nq/fnXL3AEskHSgpJcAS4Cr+vRZERGxg74cudveKul9wJeAGcDFttf247MiImJn/eqWwfY1wDX9ev8uNdIdNImyf9NbyftX8r7BFNq/vpxQjYiIZmX5gYiIAiXcIyIKlHCPaEg9HwRJBzZdS5RnYPrcJb2hQ/MzwLdtb53seiIk3WX7Da3bpuvph3qdqQ/Y/mTTtQyaQQr324A3AF8HBPxCff9VwHttX9dgebtN0l8Bo/4SbX9gEsvpOUn30nn/BNj2L05yST0j6XqqEWsLga/s+Lztt012Tf0g6WbbRzVdR79I+l8dmp8BRmxfOdn1tPRtKOQUtAE4ozXevl6l8kPAx4ArgGkZ7sBI0wX02W82XUAfnUR1wPG3wPkN19JPX5X018DfA8+1Gm3f1VxJPfVS4LXA5fXj3wLWAmdIOtr2mU0UNUhH7nfbXtiprdNzEZNF0pDtLU3X0S+SburQbNvHTHoxfSDpRuAtre5dSTOpDhZ/A7jXdiPLnQ/Skfs6SRdSLT8M8O+Ab0jaC/hxc2V1R9I/Mna3zLT+ai/pWcbulnnlJJfUM+2/O0k7PT/df3ctto9uuoY+mwe8nKorhvr+q21vk/R8U0UNUrj/B+D3gDOpguFW4L9SBft0/p/vL5ouoJ9sv6LpGvqo6N9di6R9gT+lCrwT6y7RX7Z9UcOl9cqfA3dLupkqW34d+FNJLwduaKqogemWiTJImkPVxwmA7UcaLKdn6gX2Dq4frrM9bb9N7kjSF4H/A3zE9mF1t8U/2359w6X1jKS5VBcpErDG9mPjvKTvBmacu6QjJV0v6RuSvtX6abquXpG0QNI/SLq/0P17m6SHgIeBL1OdIP9io0X1iKSjgIeoLk15AVV34a83WVOPzba9CngBqoUFgW3NltRzewBbgKeA10yF398gdctcBPwX4E7K+x8LqiOjjwKfpOpm+o9URxGl+BjwJuAG24dLOho4teGaeuV8qhNy6wAkHQxcCryx0ap65zlJr2L7+YU3sb1/etqT9GdU5/DWUv8Bo9rXWxorisEK92dsF3GkN4qX2V4tSba/DZwt6StUgV+CH9t+UtIekvawfVP9j6oEe7aCHcD2NyTt2WRBPfb7VNdzOEjSV4Eh4LebLamnTgZ+3nZjJ087GaRwv0nS/6Qa0/6TX0JBY21/KGkP4KF6Lf3vAHMarqmXnpa0N9Vkn0skbQZKmVk8IukiqvHuAO+i+oZZBNt3SXoz1eU0RWHnFIBvAXvSlitTwcCcUB2AsbZHAA8AP0PVhfHTwJ/bvq3JunqlHnnwQ6pw+F2q/bvE9pONFtYD9XDcZcCRVPt3C3CB7R81WliPSFpG9bt6un48CzjV9gWNFtYjkj4PHAas5sUHjo3ODh+YcB8Ukl5J9Ufr2aZr6TVJ/4ZqRIKBO2x/t+GSuiJpMbCf7U/Vj9dQdVkY+EPb/9Bkfb0yygTCf7Z9eEMl9ZSk0zu121452bW0K75bRtK7bP+dpN/v9LztT0x2Tf0gaZjqpOor6sfPAP/JdhFf7yW9G/jvwI1UR7d/Jekc2xc3W1lX/pDq+sItL6E6ibo31e+yiHAH9qjPBbVOqM6g2tciNB3ioyk+3Klmi0EdegW7GPg9218BkPSrVAExbRfW2sGHgMNb3TD16It/otrv6eolth9te3yr7aeAp+puqFJ8CVgl6X9TfSt5L3BtsyV1T9Iq2+8cbXG7phe1S7dMISR91faR47VNV5JWAye2+qHrST/X2D6u2cp2n6T1tl8zynPftH3QZNfUD/WJ/qXAcVTfuq4D/sb2tB6SLGmu7U2SfrbT8/WotcYMTLjXF0R4PzCftm8s0339jrZ16k8DfopqfLSpxt1+z/ZHmqqtF9q60xYCrweupNq/xVQzAd/bUGldk3QJcLPtz+zQ/h7gKNtFjONvnQxvhXndLbOX7X9ttrKyDVK430M1keletk80wPaXGyuqB0YZBdQy7UcDSRprnL5tnzNpxfRYvZTC/6UaYdEakvtGYC/gZNuPN1RaT9XXUjjO9vfrx3sD19n+lWYr607bonatyYKtMJ0Si9oNUrjfbvuXmq4jdo+kU2xfPl7bdCTpGODQ+uFa2zc2WU+vjbXcdjMVDYZBCvffARZQ9fcVN4mp9JX31OFSdJ3aYuqpZ6W+v/VvTdIbgb+2/cvNVtYbks6hmpvwNdvPjbf9ZBmE0TItr6fqlz6GF6//MK27Ldp8lnrlvfrxN6iufDOtw13SicBbgXl68eXMXkk5M1RLdyZwuaTWSolzqc4JlWID8DtUw3OfpZpFfUuTl9iDwTpyfxD4xVJm/e1I0h22j2ifHFLCV19Jh1GdTD2Hapx7y7PATba/10RdsWvqtXJayw88WNjyA8BPJtm9k+o6EbOavhbBIB2530M1NX9zw3X0S5Er79m+B7hH0ueo/n89oH2RrZj66mD/z1QXsQC4WdKnSwl4SX8DHAI8TnXU/ttsP0HemEEK932BByXdwYv73Kf1UMg2pa+8dwLVlYteAhwoaSFwTkG/v5JdSLWwVmstmdPqtnc3VlFvvQqYATxNtZ77E63rqTZpkLpl3typfboPhWyn6go3Ra68J+lOqvMjN7d1O3296VmAMT5J99g+bLy26U7S64Djqa4bMcP2fk3WMzBH7q0QrxfWKm6/JZ0CXGt7raQ/Bt4g6X+UMhoI2Gr7GXW4kHRMedskHWT7mwCSfo6CLpgj6TeBX6PqdppFtf7RVxotigJDbjSSllIthfsDqtEyouqf/rkm6+qh/2b78npNmeOpujAuBEoZ239fPZx1hqQFwAeo1paJqe9DVNdTaF32cT7VlcJKcSLVUMi/nArXTm0ZpG6Zh6jGfT/RdC390BolI+njwL22P1fYsqo/RTXM8y1103VUfe5T6gIJsV19jYFHbX+3XrP+PVTry3wXWF4vklaEep7JEfXDNbYbH7gxMBfIBr4JlLyWxXckfZpqKNY19T+mkn6/p9r+iO0j6p+PAH/SdFExpk8DraHHvwQsB1ZSjSpZ0VRRvVZ3ia4BTqH693e7pMYHMwzSkfvhVJN8bmcKXS2lV+oj2xOojtofkjQXeL3t6xourSckfRH4O9uX1I8/BbzU9hnNVhajaT9pWv++ttg+u3487edgtNTrVv1G62hd0hDVhdwbPWE8MH3uVEcRN7LDwmGlqFfYu0LSHEkH1M0PNllTj70DuErSC1R9nE/ZXtZwTTG2GZJm1sMCj6Va9relpOzZY4dumCeZAt+aS/oPPJ6ttjtejakEkt4GnA+8mmqi1gFU4X7oWK+b6iTt0/bw3VSrKH4VOEfSPiX12xboUuDLkp6gGsjQupDMayhggl2bayV9iWp/oVpa4ZoG6wEGq1vmXODbwD/y4m6ZIsKh/mp4DNXXwcMlHU3VT710nJdOaZIeZvuyqu3Lq0K1rGopo52KVM+Unku1xO9zddvBwN4FDdNF0juAX6W+wLntLzRc0kCF+8MdmosJB0kjtofrkD/c9guS1the1HRtEYNC0mzgSU+BYG28X2iy2D6ww08RwV57ur4Iwi3AJZL+koJWTZR0iqTWxb//WNIV9UnyiEZIepOkm1v/L0q6D7gPeFzSCY3XNwX+wPSVpGNs31h/bdqJ7Ssmu6Z+UHUpsx9Q/cH+XeCngUtcX1B6umstNVBP0vo41SStD+cCLNEUSSPAh6n+ra2gusbvbZJeC1za9ByTQTih+maqUTL/tsNzBooI97aLBLwg6WqmyFfDHmpNVz8JuND2lZLObrCeiJmtocaSzrF9G4DtB6fCMhnFh7vtj9a3JU13/on6hNV5VKvRfQz4W2A2sIekf2/72ibr66HWJK3jgD8rcJJWTD/tQ6p/sMNzjR9YFd8t0yLpm8BtbL9Kyv0Nl9QTU/2rYa+UPkkrph9J24DnqEbIvIztM+BFNcFuz6Zqg8EK972opkD/GnAk8FrgHttvb7SwLrXP9JP0gO3XtT1XzNoyLZLmAC9tPbb9SIPlRExZg/S1dhvw4/r2Bar1LRpf3KcHpvRXw16R9LZ68beHgS/Xt19stqqIqWuQjtz/lWrpgU9QTfQpZRTJlP5q2CulTtKK6JdBCvfFVDPIFlGtVPdPVH3vqxstLCYkk7Qids3AhHtLfaLxROBMYI7tlzVbUUyEpBuAk6nGuM+m6lI7wvavNFlXxFQ1MOEu6fPAQmA99YgZqkX1f9hkXTExpU/Siui14sO9dTUYYH/gLuBdwG8BG4CzS1k4bJBMpfU7IqaqQRgt82ngR7bvoBoC+XGqq8E8Q0FXgynVVF+/I2KqGoQj94G4GkypBmWSVkSvDcKR+wxJrWUWjqVaZ6al+OUXCjDT9nW2Lwe+275+R8N1RUxpgxBug3I1mFINxCStiF4rvlsGBudqMCUalElaEb02EOEeETFoBqHPPSJi4CTcIyIKlHCPiChQwj0iokAJ94iIAv1/x8yh3yTSzPsAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df['Female'].plot(kind = 'bar') #여성의 결과만 가지고 오기"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "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": "3.8.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}