6._그래프만들기.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "f4e1fd91",
   "metadata": {},
   "source": [
    "# R로 만들 수 있는 그래프\n",
    "\n",
    "- 2차원 그래프, 3차원 그래프\n",
    "\n",
    "- 지도 그래프\n",
    "\n",
    "- 네트워크 그래프\n",
    "\n",
    "- 모션 차트\n",
    "    - 시간에 따른 데이터의 움직임을 보여주는 차트\n",
    "    \n",
    "- 인터랙티브 그래프\n",
    "    - 마우스 조작에 반응하는 차트"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d62ec992",
   "metadata": {},
   "source": [
    "## 산점도 만들기\n",
    "\n",
    "- 산점도(Scatter Plot) : 데이터를 x축과 y축에 점으로 표현한 그래프\n",
    "- 나이와 소득처럼, 연속 값으로 된 두 변수의 관계를 표현할 때 사용"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "3f74f5c6",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Registered S3 methods overwritten by 'ggplot2':\n",
      "  method         from \n",
      "  [.quosures     rlang\n",
      "  c.quosures     rlang\n",
      "  print.quosures rlang\n"
     ]
    }
   ],
   "source": [
    "library(ggplot2)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "19850a21",
   "metadata": {},
   "source": [
    "- ggplot2문법의 구조\n",
    "\n",
    "1. 배경 설정\n",
    "2. 그래프 추가\n",
    "3. 설정 추가(축 범위, 색, 표식)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "613f7af4",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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mRDIU0DAAqSDYU0DQAoSDYU0jQAoCDZ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\nrkJggg==",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# x축은 displ, y축은 hwy로 지정해 배경 생성\n",
    "ggplot(data = mpg, aes(x = displ, y = hwy))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "2f48ab51",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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z+aEAAAKJRsmA3pzTS9/efbTZfn+TPO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\nPJ4djiF5PDscQ/J4djj/A0mJ6nebsZ3QAAAAAElFTkSuQmCC",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 배경에 산점도 추가\n",
    "ggplot(data = mpg, aes(x = displ, y = hwy)) +\n",
    "    geom_point()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4ca967ec",
   "metadata": {},
   "source": [
    "- ggplot2에서는 + 기호로 연결"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "ff93bfac",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Warning message:\n",
      "\"Removed 105 rows containing missing values (geom_point).\""
     ]
    },
    {
     "data": {
      "image/png": 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VyLba7xAHtGmnEtnpGGdpADvMQf7bxG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",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# x축의 범위 3 ~ 6으로 지정\n",
    "ggplot(data = mpg, aes(x = displ, y = hwy)) +\n",
    "    geom_point() +\n",
    "    xlim(3, 6)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "10750650",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Warning message:\n",
      "\"Removed 105 rows containing missing values (geom_point).\""
     ]
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# x축 범위 3 ~ 6, y축 범위 10 ~ 30으로 지정\n",
    "ggplot(data = mpg, aes(x = displ, y = hwy)) +\n",
    "    geom_point() +\n",
    "    xlim(3, 6) +\n",
    "    ylim(10, 30)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "4506e58a",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "`geom_smooth()` using method = 'loess' and formula 'y ~ x'\n"
     ]
    },
    {
     "data": {
      "image/png": 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SIFTfoWqc6kJda/MwAgAkmHySLFTfoQ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\nNA3m/wHOHQaVUBEBbgAAAABJRU5ErkJggg==",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 추세선 추가\n",
    "ggplot(data = mpg, aes(x = displ, y = hwy)) +\n",
    "    geom_point() +\n",
    "    stat_smooth()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "dd23c851",
   "metadata": {},
   "source": [
    "### ggplot()과 qplot()\n",
    "\n",
    "- qplot() : 문법이 간단하지만 기능이 적기 때문에 주로 전처리 단계에서 빠르게 데이터를 확인하는 용도로 활용\n",
    "\n",
    "- ggplot() : 최종 분석 결과 보고용 그래프를 만들 때 사용. 그래프의 세부 요소들을 자유롭게 조절할 수 있음"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "90069cdc",
   "metadata": {},
   "source": [
    "### 그래프 그리기 연습\n",
    "\n",
    "1. mpg데이터에서 x축은 cty, y축은 hwy로 된 산점도 그리기\n",
    "\n",
    "2. midwest데이터에서 x축은 poptotal, y축은 popasian으로 된 산점도 그리기. 단, 전체 인구는 50만명 이하, 아시아인 인구는 1만명 이하인 지역만 표시되도록"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "a3d23d2b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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MYakBlJxt4h+b12exiQGUnG3iFdV5Eh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\nBhxD8ngGHEPyeAYcQ/J4Bpz/A0JOTIlfAF1zAAAAAElFTkSuQmCC",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ggplot(data = mpg, aes(x = cty, y = hwy)) +\n",
    "    geom_point()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "31beb94e",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Warning message:\n",
      "\"Removed 15 rows containing missing values (geom_point).\""
     ]
    },
    {
     "data": {
      "image/png": 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nTofq40KCLtycAEMStTFGn1kSgi7crA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\nkxFMRMpkBBORMhnB/B/6Rw3cUYtrRAAAAABJRU5ErkJggg==",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ggplot(data = midwest, aes(x = poptotal, y = popasian)) +\n",
    "    geom_point() +\n",
    "    xlim(0, 500000) +\n",
    "    ylim(0, 10000)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fb7653ef",
   "metadata": {},
   "source": [
    "## 막대 그래프\n",
    "\n",
    "- 막대 그래프(Bar Chart)\n",
    "    - 데이터의 크기를 막대의 길이로 표현한 그래프\n",
    "    \n",
    "- 성별 소득 차이처럼 집단 간의 차이를 표현할 때 주로 사용"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "b828fd45",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n",
      "Attaching package: 'dplyr'\n",
      "\n",
      "The following objects are masked from 'package:stats':\n",
      "\n",
      "    filter, lag\n",
      "\n",
      "The following objects are masked from 'package:base':\n",
      "\n",
      "    intersect, setdiff, setequal, union\n",
      "\n"
     ]
    }
   ],
   "source": [
    "library(dplyr)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "ffae2527",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table>\n",
       "<thead><tr><th scope=col>drv</th><th scope=col>mean_hwy</th></tr></thead>\n",
       "<tbody>\n",
       "\t<tr><td>4       </td><td>19.17476</td></tr>\n",
       "\t<tr><td>f       </td><td>28.16038</td></tr>\n",
       "\t<tr><td>r       </td><td>21.00000</td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "\\begin{tabular}{r|ll}\n",
       " drv & mean\\_hwy\\\\\n",
       "\\hline\n",
       "\t 4        & 19.17476\\\\\n",
       "\t f        & 28.16038\\\\\n",
       "\t r        & 21.00000\\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "\n",
       "| drv | mean_hwy |\n",
       "|---|---|\n",
       "| 4        | 19.17476 |\n",
       "| f        | 28.16038 |\n",
       "| r        | 21.00000 |\n",
       "\n"
      ],
      "text/plain": [
       "  drv mean_hwy\n",
       "1 4   19.17476\n",
       "2 f   28.16038\n",
       "3 r   21.00000"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 평균 막대 그래프\n",
    "# mpg 데이터를 이용해 drv별 평균 hwy 막대 그래프 그리기\n",
    "\n",
    "mpg <- as.data.frame(ggplot2::mpg)\n",
    "\n",
    "df_mpg <- mpg %>%\n",
    "    group_by(drv) %>%\n",
    "    summarise(mean_hwy = mean(hwy))\n",
    "\n",
    "df_mpg"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "dda2cbd9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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wYqG1IenjFQ2ZDy8IyByoaUh2cMVDak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\nSCI3wJBEbsD/A7WRGu6oqTMkAAAAAElFTkSuQmCC",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 그래프 그리기\n",
    "ggplot(data = df_mpg, aes(x = drv, y = mean_hwy)) +\n",
    "    geom_col()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "d586a42f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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UNiGQOVWyFdLMvVj+eTNob0G3jGQOVW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\ngwAAAABJRU5ErkJggg==",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 크기 순으로 정렬하기\n",
    "ggplot(data = df_mpg, aes(x = reorder(drv, -mean_hwy), y = mean_hwy)) +\n",
    "    geom_col()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d757cf70",
   "metadata": {},
   "source": [
    "### 빈도 막대 그래프\n",
    "\n",
    "- 값의 개수로 막대의 길이를 표현\n",
    "- y축 없이 x축만 지정\n",
    "- geom_bar() 함수를 사용"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "7a7d6991",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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YbUSG+cITXSG2dIjfTGGVIjvXGG1Ehv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\n/wN/q9BGAS8lVgAAAABJRU5ErkJggg==",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# drv 변수 항목별 빈도 막대 그래프\n",
    "ggplot(data = mpg, aes(x = drv)) +\n",
    "    geom_bar()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0aaf9f00",
   "metadata": {},
   "source": [
    "## geom_col)과 geom_bar()\n",
    "\n",
    "- 평균 막대 그래프(goem_col())\n",
    "    - 데이터를 요약한 평균표를 먼저 만든 후 평균표를 이용해 그래프 생성\n",
    "- 빈도 막대 그래프(geom_bar())\n",
    "    - 별도로 표를 만들지 않고 원자료를 이용해 바로 그래프 생성"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "da1b9fb4",
   "metadata": {},
   "source": [
    "### 그래프 그리기 연습\n",
    "1. mpg데이터에서 \"suv\"차종을 대상으로 평균 cty가 가장 높은 회사 다섯 곳을 막대그래프로 표현\n",
    "2. 자동차 종류별(class) 빈도 막대 그래프 그리기"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "1f3309cc",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table>\n",
       "<thead><tr><th scope=col>manufacturer</th><th scope=col>mean_cty</th></tr></thead>\n",
       "<tbody>\n",
       "\t<tr><td>subaru  </td><td>18.83333</td></tr>\n",
       "\t<tr><td>toyota  </td><td>14.37500</td></tr>\n",
       "\t<tr><td>nissan  </td><td>13.75000</td></tr>\n",
       "\t<tr><td>jeep    </td><td>13.50000</td></tr>\n",
       "\t<tr><td>mercury </td><td>13.25000</td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "\\begin{tabular}{r|ll}\n",
       " manufacturer & mean\\_cty\\\\\n",
       "\\hline\n",
       "\t subaru   & 18.83333\\\\\n",
       "\t toyota   & 14.37500\\\\\n",
       "\t nissan   & 13.75000\\\\\n",
       "\t jeep     & 13.50000\\\\\n",
       "\t mercury  & 13.25000\\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "\n",
       "| manufacturer | mean_cty |\n",
       "|---|---|\n",
       "| subaru   | 18.83333 |\n",
       "| toyota   | 14.37500 |\n",
       "| nissan   | 13.75000 |\n",
       "| jeep     | 13.50000 |\n",
       "| mercury  | 13.25000 |\n",
       "\n"
      ],
      "text/plain": [
       "  manufacturer mean_cty\n",
       "1 subaru       18.83333\n",
       "2 toyota       14.37500\n",
       "3 nissan       13.75000\n",
       "4 jeep         13.50000\n",
       "5 mercury      13.25000"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 1-1 평균표 생성\n",
    "df_mpg <- mpg %>%\n",
    "    filter(class == \"suv\") %>%\n",
    "    group_by(manufacturer) %>%\n",
    "    summarise(mean_cty= mean(cty)) %>%\n",
    "    arrange(desc(mean_cty)) %>%\n",
    "    head(5)\n",
    "df_mpg"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "194e262e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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gAloiKgPKSyACgRFQHlIZUFQImoCCgP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\nJOcS8pCcS8hDci4hD8m5hDwk5xL6P5WZTgQw0pn2AAAAAElFTkSuQmCC",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 1-2 그래프 그리기\n",
    "ggplot(data = df_mpg, aes(x = reorder(manufacturer, - mean_cty),\n",
    "                         y= mean_cty )) +\n",
    "geom_col()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "c8c08b64",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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eMCKTZDkAIjPJqySNm4QIrNEKTACI+m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\nYwAAAABJRU5ErkJggg==",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ggplot(data = mpg, aes(x= class)) + geom_bar()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "82a1b124",
   "metadata": {},
   "source": [
    "##  선 그래프\n",
    "- 선 그래프(Line chart)\n",
    "    - 데이터를 선으로 표현한 그래프\n",
    "- 시계열 그래프(Time Series chart)\n",
    "    - 일정 시간 간격을 두고 나열된 시계열 데이터를 선으로 표현한 그래프\n",
    "    - 환율, 주가지수 등 경제 지표가 시간에 따라 어떻게 변하는지 표현할 때 사용"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "d969a9ac",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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E1xECm3ECK9LNpwafHUifT0dqOriDTbfoxTs8ak9h1EeprwIt1v/nZoQiQ3DCI9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",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# economics 데이터: 미국의 경제 지표들을 월별로 나타낸 데이터\n",
    "\n",
    "# x축에는 시간, y축에는 실업자 수를 지정\n",
    "ggplot(data = economics, aes(x= date, y = unemploy)) +\n",
    "    geom_line()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "abab2b74",
   "metadata": {},
   "source": [
    "### 그래프 그리기 연습\n",
    "1. 시간에 따른 개인저축률(psavert) 변화를 나타내는 선 그래프 그리기"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "4b4afcee",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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yMsDyRnEiJNbLgnUpoUqXf61jsTka5I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",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ggplot(data = economics, aes(x= date, y = psavert)) +\n",
    "    geom_line()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1afaf592",
   "metadata": {},
   "source": [
    "## 상자 그림\n",
    "- 상자 그림(Box plot)\n",
    "    - 장점 : 데이터의 분포를 직사각형 상자 모양으로 표현한 그래프\n",
    "    \n",
    "- 데이터의 분포를 알 수 있기 때문에 평균만 볼 때보다 데이터의 특성을 좀 더 자세히 이해할 수 있음"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "ec8f92ef",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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kNajCFNBPfs2pUZ0mIMaSK4Z9euzJAW\nY0gTwT27dmWGtBhDmgju2bUrM6TFGNJEcM+uXZkhLcaQJoJ7du3KDGkxhjQR3LNrV2ZIizGk\nieCeXbsyQ1qMIU0E9+zalRnSYgxpIrhn167MkBZjSBPBPbt2ZYa0GEOaCO7ZtSszpMUY0kRw\nz65dmSEtxpAmgnt27coMaTGGNBHcs2tXZkiLuZ6S3bf2C3Cfy5ASqKeMMzakBOop44wNKYF6\nyjhjQ0qgnjLO2JASqKeMMzakBOop44wNKYF6yjhjQ0qgnjLO2JASqKeMMzakBOop44wNKYF6\nyjhjQ0qgnjLO2JASqKeMMzakBOop44wNKYF6yjhjQ0qgnjLO2JASqKeMMzakBOop44wNKYF6\nyjhjQ0qgnjLO2JASqKeMMz4eEo5T/tirY9RTBhv7Fem81FPGGRtSAvWUccaGlEA9ZZyxISVQ\nTxlnbEgJ1FPGGRtSAvWUccaGlEA9ZZyxISVQTxlnbEgJ1FPGGRtSAvWUccaGlEA9ZZyxISVQ\nTxlnbEgJ1FPGGRtSAvWUccaGlEA9ZZyxISVQTxlnbEgJ1FPGGRtSAvWUccaGlEA9ZZyxISVQ\nTxlnbEgJ1FPGGRtSAlDl6zl5lashJQBVBv/MrP/AkL4DfVUrgSob0giTL/840Fe1EqiyIY0w\n+fKPA31VK4EqG9IIky//ONBXtRKosiGNMPnyjwN9VSuBKhvSCJMv/zjQV7USqLIhjTD58o8D\nfVUrgSob0giTL/840Fe1EqiyIY0w+fKPA31VK4EqG9IIky//ONBXtRKosiGNMPnyjwN9VSuB\nKhvSCJMv/zjQV7USqLIhjTD58o8DfVUrgSob0giTL/840Fe1EqiyIY0w+fKPA31VK4EqG9II\nky//ONBXtRKosiGNMPnyjwN9VSuBKhvSCJMv/zjQV7USqLIhjTD58o8DfVUrgSob0giTL/84\n0Fe1EqiyIY0w+fKPA31VK4EqG9IIky//ONBXtRKosiGNMPnyjwN9VSuBKhvSCJMv/zjQV7US\nqLIhjTD58o8DfVUrgSob0giTL/840Fe1EqiyIY0w+fKPA31VK4EqG9IIky//ONBXtRKosiGN\nMPnyjwN9VSuBKhvSCJMv/zjQV7USqLIhjTD58o8DfVUrgSob0giTL/840Fe1EqiyIY0w+fKP\nA31VK4EqG9IIky//ONBXtRKosiGNMPnyjwN9VSuBKhvSCJMv/zjQV7USqLIhjTD58o8DfVUr\ngSob0giTL/840Fe1EqiyIY0w+fKPA31VK4EqG9IIky//ONBXtRKosiGNMPnyjwN9VSuBKhvS\nCJMv/zjQV7USqLIhjfDKOz4nr5NdDu//mj1iSCN4x/sxpIkY0noMaYhKI7fzhtTHkIaoNHI7\nb0h9DGmISiO384bUx5CGqDRyO29IfQxpiEojt/OG1MeQhqg0cjtvSH0MaYhKI7fzhtTHkIao\nNHI7b0h9DGmISiO384bUx5CGqDRyO29IfQxpiEojt/OG1MeQhqg0cjtvSH0MaYhKI7fzhtTH\nkIaoNHI7b0h9DGmISiO384bUx5CGqDRyO29IfQxpiEojt/OG1AcaEvXPwFcauZ03pD7Q90r9\naRKVRm7nDakP87lify7Ltp9Rc4xXubZHYkh9iK/VkGbzKtf2SAypD/G1GtJsXuXaHokh9SG+\nVv8daTKGtB7kc/W7dnMxpPUw36u/jjQVQ1qPIQ1RaeR23pD6GNIQlUZu5w2pjyENUWnkdt6Q\n+hjSEJVGbucNqY8hDVFp5HbekPoY0hCVRm7nDamPIQ1RaeR23pD6GNIQlUZu5w2pjyENUWnk\ndt6Q+hjSEJVGbucNqY8hDVFp5HbekPoY0hCVRm7nDamPIQ1RaeR2vh/S7Ss//+cT3vF+DGki\ny0O6ff/L7cd/ecQ73o8hTcSQ1mNIQ1QauZ1/2b8jGRIRQ5rIhpAef1jAKz/t645t5pyfehvn\nvK6jn/pFId0e/IoExK9IE3mTr0iGhMSQJvIWId3+/18e8Y73Y0gTeYOQbu2vhkTCkCbyBr8g\n+9N/GBIJQ5rI+l9Hun3/LQ3+zgYahjQRf6/degxpiEojt/OG1MeQhqg0cjtvSH0MaYhKI7fz\nhtTHkIaoNHI7b0h9DGmISiO384bUx5CGqDRyO29IfQxpiEojt/OG1MeQhqg0cjtvSH0MaYhK\nI7fzhtTHkIaoNHI7b0h9DGmISiO384bUx5CGqDRyO29IfQxpiEojt/OG1MeQhqg0cjtvSH0M\naYhKI7fzhtTHkIaoNHI7b0h9DGmISiO384bUx5CGqDRyO29IfQxpiEojt/OG1MeQhqg0cjtv\nSH0MaYhKI7fzhtTHkIaoNHI7b0h9DGmISiO384bUx5CGqDRyO29IfQxpiEojt/OG1MeQhqg0\ncjtvSH0MaYhKI7fzhtTHkIaoNHI7b0h9DGmISiO384bUx5CGqDRyO29IfQxpiEojt/OG1MeQ\nhqg0cjtvSH0MaYhKI7fzhtTHkIaoNHI7b0h9DGmISiO384bUx5CGqDRyO//GIZ2T18kux5Am\nYkhvwOtkl2NIEzGkN+B1sssxpImcLKQpzm+NIQ1RaeR23pD6GNIQlUZu5w2pjyENUWnkdt6Q\n+hjSEJVGbucNqY8hDVFp5HbekPoY0hCVRm7nDamPIQ1RaeR23pD6GNIQlUZu5w2pjyENUWnk\ndt6Q+hjSEJVGbucNqY8hDVFp5HbekPoY0hCVRm7nDamPIQ1RaeR23pD6GNIQlUZu5w2pjyEN\nUWnkdt6Q+hjSEJVGbucNqY8hDVFp5HbekPpAQ6L+0d1KI7fzhtQH+l6pfwi+0sjtvCH1YT5X\n7I+TqDRyO+8PP3kBr5NdC/ejbZ3q9bzKdVdICyE+qZUcmf+04HQN6fwU7Ig3siEFUK8j3siG\nlABvhNXgRjakBHgjrAY3siElwBthNbiRDSkB3girwY1sSAnwRlgNbmRDSoA3wmpwIxtSArwR\nVoMb2ZAS4I2wGtzIhpQAb4TV4EY2pAR4I6wGN7IhJcAbYTW4kQ0pAd4Iq8GNbEgJ8EZYDW5k\nQ0qAN8JqcCMbUgK8EVaDG9mQEuCNsBrcyIaUAG+E1eBGNqQEeCOsBjeyISXAG2E1uJENKQHe\nCKvBjWxICfBGWA1uZENKgDfCanAjG1ICvBFWgxvZkBLgjbAa3MiGlABvhNXgRjakBHgjrAY3\nsiElwBthNbiRDSkB3girwY1sSAnwRlgNbmRDSoA3wmpwIxtSArwRVoMb2ZAS4I2wGtzIhpQA\nb4TV4EY2pAR4I6wGN7IhJcAbYTW4kQ0pAd4Iq8GNbEgJ8EZYDW5kQ0qAN8JqcCMbUgK8EVaD\nG9mQEuCNsBrcyMdDwnHd/QGkNH5FOi+8EVaDMzakBHgjrAZnbEgJ8EZYDc7YkBLgjbAanLEh\nJcAbYTU4Y0NKgDfCanDGhpQAb4TV4IwNKQHeCKvBGRtSArwRVoMzNqQEeCOsBmdsSAnwRlgN\nztiQEuCNsBqcsSElwBthNThjQ0qAN8JqcMaGlABvhNXgjA0pAd4Iq8EZG1ICvBFWgzM2pAR4\nI6wGZ2xICfBGWA3O2JAS4I2wGpyxISXAG2E1OGNDSoA3wmpwxoaUAG+E1eCMDSkB3girwRkb\nUgK8EVaDMzakBHgjrAZnbEgJ8EZYDc7YkBLgjbAanLEhJcAbYTU4Y0NKgDfCanDGhpQAb4TV\n4IwNKQHeCKvBGRtSArwRVoMzNqQEeCOsBmdsSAnwRlgNztiQEuCNsBqcsSElwBthNThjQ0qA\nN8JqcMaGlABvhNXgjA0pAd4Iq8EZG1ICvBFWgzM2pAR4I6wGZ2xICfBGWA3O2JAS4I2wGpyx\nISXAG2E1OGNDSoA3wmpwxoaUAG+E1eCMDSkB3girwRkbUgK8EVaDMzakBHgjrAZnbEgJ8EZY\nDc7YkBLgjbAanLEhJcAbYTU4Y0NKgDfCanDGhpQAb4TV4IwNKQHeCKvBGRtSArwRVoMzNqQE\neCOsBmdsSAnwRlgNztiQEuCNsBqcsSElwBthNThjQ0qAN8JqcMaGlABvhNXgjA0pAd4Iq8EZ\nG1ICvBFWgzM2pAR4I6wGZxwYEu8TLaeeMs7YkBKop4wzNqQE6injjA0pgXrKOGNDSqCeMs7Y\nkBKop4wzNqQE6injjA0pgXrKOGNDSqCeMs7YkBKop4wzNqQE6injjA0pgXrKOGNDSqCeMs7Y\nkBKop4wzNqQE6injjA0pgXrKOGNDSqCeMs7YkBKop4wzNqQE6injjA0pgXrKOGNDSqCeMs7Y\nkBKop4wzNqQE6injjA0pgXrKOGNDSqCeMs7YkBKop4wzNqQE6injjA0pgXrKOGNDSqCeMs7Y\nkBKop4wzNqQE6injjA0pgXrKOGNDSqCeMs7YkBKop4wzNqQE6injjI+HhOO6+wO8PfWUwcaG\ndF7qKYONDem81FMGGxvSeamnDDaOCUlkJ4YkMgFDEpmAIYlMwJBEJmBIIhPICem2+wO8Obd6\nylxiQqr3qsoJo0kJ6VbvXZUTRhMS0q3eu7rdqn0RvpH/scOQTks9YbJxRki3h4rvavcHeGvQ\nwhEh3X78pRIKk8gI6YndH+ONqebLFo4I6RH0Na9AYRKGdFoUJmFIp0VhEjkhiWzEkEQmYEgi\nEzAkkQkYksgEDElkAoYkMgFDEpmAIYlMwJDOyMXZaLjIGTEkHC5yRgwJh4ucjM/vLx8eQ7pc\n/r69u7x7/JvvLn9v/ljlMaRz8eV2uVw+PIX0/vLbh8vnr3/z8/eeZB+GdC4+Xt4/fHn/FNLH\nh4e/vv3l69/8a/fnKo8hnYt3374EfX4K6dsXo3ePP/cF/Sd1amBI5+Lp2wxPIX37n/64fHr4\ndPl974cSQzobz0P6cvnt6z/Zfdn7ocSQzsbP/2j3+Dd+u3y+fNj8ocSQzsbvl/dfHt7/FNKn\ny+XrP93JbgzpXPz87e+nv/PO730TMKST8fnDj1+Qffobf1z+3PuJ5BuGJDIBQxKZgCGJTMCQ\nRCZgSCITMCSRCRiSyAQMSWQChiQyAUMSmYAhiUzAkEQm8H9Heqe3AeAwvAAAAABJRU5ErkJg\ngg==",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# mpg 데이터의 drv 별 hwy를 상자 그림으로 표현\n",
    "ggplot(data= mpg, aes(x = drv, y =hwy)) +\n",
    "    geom_boxplot()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "19a8dd11",
   "metadata": {},
   "source": [
    "### 그래프 그리기 연습\n",
    "1. 자동차 종류가 \"compact\", \"subcompact\", \"suv\"인 자동차의 cty를 비교하는 상자그림 그리기"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "860d3298",
   "metadata": {},
   "outputs": [],
   "source": [
    "class_mpg <- mpg %>%\n",
    "    filter(class %in% c(\"compact\", \"subcompact\", \"suv\"))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "5bd66d39",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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jGE1BG5s2srI6RiCKkjcmfXVkZIxRBS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\nwp0wjBMn6wAAAABJRU5ErkJggg==",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ggplot(data = class_mpg, aes(x= class , y= cty)) +geom_boxplot()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "64f83802",
   "metadata": {},
   "source": [
    "# 정리\n",
    " - ggplot2 함수들\n",
    "     - geom_point()\n",
    "         - 산점도\n",
    "     - geom_col()\n",
    "         - 막대 그래프 - 요약표\n",
    "     - geom_bar()\n",
    "         - 막대 그래프 - 원자료\n",
    "     - geom_line()\n",
    "         - 선 그래프\n",
    "     - geom_boxplot()\n",
    "         - 상자 그림"
   ]
  },
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   "execution_count": null,
   "id": "c7e1f6bf",
   "metadata": {},
   "outputs": [],
   "source": []
  }
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