07-1.ipynb

{
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "ZJpCOr4Mo0lP"
      },
      "source": [
        "# 07-1 통계적으로 추론하기"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "GJCDtGI0pZsl"
      },
      "source": [
        "<table class=\"tfo-notebook-buttons\" align=\"left\">\n",
        "  <td>\n",
        "    <a target=\"_blank\" href=\"https://nbviewer.jupyter.org/github/rickiepark/hg-da/blob/main/07-1.ipynb\"><img src=\"https://jupyter.org/assets/share.png\" width=\"61\" />주피터 노트북 뷰어로 보기</a>\n",
        "  </td>\n",
        "  <td>\n",
        "    <a target=\"_blank\" href=\"https://colab.research.google.com/github/rickiepark/hg-da/blob/main/07-1.ipynb\"><img src=\"https://www.tensorflow.org/images/colab_logo_32px.png\" />구글 코랩(Colab)에서 실행하기</a>\n",
        "  </td>\n",
        "</table>"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "MRqcmZTWsjP7"
      },
      "source": [
        "## 표준 점수 구하기"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 1,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "cRfYWGRXslrj",
        "outputId": "72f5431c-de3f-4e34-fc44-5406ee3beb79"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "0.5872202195147035\n"
          ]
        }
      ],
      "source": [
        "import numpy as np\n",
        "\n",
        "x = [0, 3, 5, 7, 10]\n",
        "\n",
        "s = np.std(x)\n",
        "m = np.mean(x)\n",
        "z = (7 - m) / s\n",
        "print(z)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 2,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "6T2JVoT0s8G5",
        "outputId": "3df2cdee-cfdc-45c5-fd95-ab589f8fc823"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([-1.46805055, -0.58722022,  0.        ,  0.58722022,  1.46805055])"
            ]
          },
          "metadata": {},
          "execution_count": 2
        }
      ],
      "source": [
        "from scipy import stats\n",
        "\n",
        "stats.zscore(x)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 3,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "q1azfmWy5me9",
        "outputId": "e6dabf12-4801-41f0-a2d4-72764e008961"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0.5"
            ]
          },
          "metadata": {},
          "execution_count": 3
        }
      ],
      "source": [
        "stats.norm.cdf(0)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 4,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "zmKGa1FiumsK",
        "outputId": "8f4c025d-8394-4730-91d6-42bf0c269382"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0.6826894921370859"
            ]
          },
          "metadata": {},
          "execution_count": 4
        }
      ],
      "source": [
        "stats.norm.cdf(1.0) - stats.norm.cdf(-1.0)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 5,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Je26GrN4u3_d",
        "outputId": "efff9a8d-f341-403e-f696-ed529d070916"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0.9544997361036416"
            ]
          },
          "metadata": {},
          "execution_count": 5
        }
      ],
      "source": [
        "stats.norm.cdf(2.0) - stats.norm.cdf(-2.0)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 6,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Iedew-XD44qz",
        "outputId": "dcf1a256-accb-403c-f7da-84dca797c5cf"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "1.2815515655446004"
            ]
          },
          "metadata": {},
          "execution_count": 6
        }
      ],
      "source": [
        "stats.norm.ppf(0.9)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "hh-yyG_vEt0b"
      },
      "source": [
        "## 중심극한정리 알아보기"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 7,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 107
        },
        "id": "u_VrtVrroycg",
        "outputId": "a1390373-c36c-415b-ed80-2631ee609935"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "Downloading...\n",
            "From: https://bit.ly/3pK7iuu\n",
            "To: /content/ns_book7.csv\n",
            "100%|██████████| 53.8M/53.8M [00:00<00:00, 77.3MB/s]\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "'ns_book7.csv'"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "string"
            }
          },
          "metadata": {},
          "execution_count": 7
        }
      ],
      "source": [
        "import gdown\n",
        "\n",
        "gdown.download('https://bit.ly/3pK7iuu', 'ns_book7.csv', quiet=False)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 8,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 310
        },
        "id": "oUwKvOu5prmZ",
        "outputId": "2da7c72b-aa77-4e02-8bdc-1a2ab01a59b6"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "   번호                    도서명                저자    출판사  발행년도           ISBN  \\\n",
              "0   1                인공지능과 흙            김동훈 지음    민음사  2021  9788937444319   \n",
              "1   2           가짜 행복 권하는 사회            김태형 지음   갈매나무  2021  9791190123969   \n",
              "2   3  나도 한 문장 잘 쓰면 바랄 게 없겠네            김선영 지음   블랙피쉬  2021  9788968332982   \n",
              "3   4                예루살렘 해변  이도 게펜 지음, 임재희 옮김  문학세계사  2021  9788970759906   \n",
              "4   5  김성곤의 중국한시기행 : 장강·황하 편            김성곤 지음    김영사  2021  9788934990833   \n",
              "\n",
              "  세트 ISBN 부가기호    권 주제분류번호  도서권수  대출건수        등록일자  \n",
              "0     NaN  NaN  NaN    NaN     1     0  2021-03-19  \n",
              "1     NaN  NaN  NaN    NaN     1     0  2021-03-19  \n",
              "2     NaN  NaN  NaN    NaN     1     0  2021-03-19  \n",
              "3     NaN  NaN  NaN    NaN     1     0  2021-03-19  \n",
              "4     NaN  NaN  NaN    NaN     1     0  2021-03-19  "
            ],
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              "\n",
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              "      <th></th>\n",
              "      <th>번호</th>\n",
              "      <th>도서명</th>\n",
              "      <th>저자</th>\n",
              "      <th>출판사</th>\n",
              "      <th>발행년도</th>\n",
              "      <th>ISBN</th>\n",
              "      <th>세트 ISBN</th>\n",
              "      <th>부가기호</th>\n",
              "      <th>권</th>\n",
              "      <th>주제분류번호</th>\n",
              "      <th>도서권수</th>\n",
              "      <th>대출건수</th>\n",
              "      <th>등록일자</th>\n",
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              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>1</td>\n",
              "      <td>인공지능과 흙</td>\n",
              "      <td>김동훈 지음</td>\n",
              "      <td>민음사</td>\n",
              "      <td>2021</td>\n",
              "      <td>9788937444319</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>2021-03-19</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>2</td>\n",
              "      <td>가짜 행복 권하는 사회</td>\n",
              "      <td>김태형 지음</td>\n",
              "      <td>갈매나무</td>\n",
              "      <td>2021</td>\n",
              "      <td>9791190123969</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>2021-03-19</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>3</td>\n",
              "      <td>나도 한 문장 잘 쓰면 바랄 게 없겠네</td>\n",
              "      <td>김선영 지음</td>\n",
              "      <td>블랙피쉬</td>\n",
              "      <td>2021</td>\n",
              "      <td>9788968332982</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>2021-03-19</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>4</td>\n",
              "      <td>예루살렘 해변</td>\n",
              "      <td>이도 게펜 지음, 임재희 옮김</td>\n",
              "      <td>문학세계사</td>\n",
              "      <td>2021</td>\n",
              "      <td>9788970759906</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>2021-03-19</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>5</td>\n",
              "      <td>김성곤의 중국한시기행 : 장강·황하 편</td>\n",
              "      <td>김성곤 지음</td>\n",
              "      <td>김영사</td>\n",
              "      <td>2021</td>\n",
              "      <td>9788934990833</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>2021-03-19</td>\n",
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              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
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              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-850ac5ce-b101-4dd4-82c0-f6c888a3ad3f button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "    </div>\n",
              "  </div>\n"
            ]
          },
          "metadata": {},
          "execution_count": 8
        }
      ],
      "source": [
        "import pandas as pd\n",
        "\n",
        "ns_book7 = pd.read_csv('ns_book7.csv', low_memory=False)\n",
        "ns_book7.head()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 9,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 430
        },
        "id": "i0DhGLwfs1mS",
        "outputId": "2e71ffc8-678e-4302-a133-67c72d9f8db8"
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ],
      "source": [
        "import matplotlib.pyplot as plt\n",
        "\n",
        "plt.hist(ns_book7['대출건수'], bins=50)\n",
        "plt.yscale('log')\n",
        "plt.show()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 10,
      "metadata": {
        "id": "rqrrFglds1ia"
      },
      "outputs": [],
      "source": [
        "np.random.seed(42)\n",
        "sample_means = []\n",
        "for _ in range(1000):\n",
        "    m = ns_book7['대출건수'].sample(30).mean()\n",
        "    sample_means.append(m)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 11,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 430
        },
        "id": "Bnc9nVKGDojy",
        "outputId": "9b394b10-b9b5-4040-cad1-ddc481509ee8"
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {}
        }
      ],
      "source": [
        "plt.hist(sample_means, bins=30)\n",
        "plt.show()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 12,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "gfu1RrNB78nr",
        "outputId": "502e9340-79c7-4e77-9e0b-ab5c8241f266"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "11.539900000000001"
            ]
          },
          "metadata": {},
          "execution_count": 12
        }
      ],
      "source": [
        "np.mean(sample_means)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 13,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "BkbBMzb8s1fL",
        "outputId": "1059326a-ed67-476d-f0c8-2c5a1717428b"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "11.593438968070707"
            ]
          },
          "metadata": {},
          "execution_count": 13
        }
      ],
      "source": [
        "ns_book7['대출건수'].mean()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 14,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "IwfG4hels1Z1",
        "outputId": "ded956b3-54e7-463b-a407-7837160f64b4"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "11.39945"
            ]
          },
          "metadata": {},
          "execution_count": 14
        }
      ],
      "source": [
        "np.random.seed(42)\n",
        "sample_means = []\n",
        "for _ in range(1000):\n",
        "    m = ns_book7['대출건수'].sample(20).mean()\n",
        "    sample_means.append(m)\n",
        "np.mean(sample_means)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 15,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "SbihCBpGs1Ow",
        "outputId": "34b6dd12-b03b-4d79-d23d-1d07d5fea1af"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "11.5613"
            ]
          },
          "metadata": {},
          "execution_count": 15
        }
      ],
      "source": [
        "np.random.seed(42)\n",
        "sample_means = []\n",
        "for _ in range(1000):\n",
        "    m = ns_book7['대출건수'].sample(40).mean()\n",
        "    sample_means.append(m)\n",
        "np.mean(sample_means)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 16,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Dj96kfUrAx1m",
        "outputId": "bf7b9016-6c88-45d1-b36a-ec7ec3f40654"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "3.0355987564235165"
            ]
          },
          "metadata": {},
          "execution_count": 16
        }
      ],
      "source": [
        "np.std(sample_means)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 17,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "aIK6Z6szA7V0",
        "outputId": "2aee8469-7fbf-4810-b307-23cdec3b326c"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "3.048338251806833"
            ]
          },
          "metadata": {},
          "execution_count": 17
        }
      ],
      "source": [
        "np.std(ns_book7['대출건수']) / np.sqrt(40)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "2wdjIKPJCBTJ"
      },
      "source": [
        "## 모집단의 평균 범위 추정하기: 신뢰구간"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 18,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 310
        },
        "id": "8zpHa_SPAzH-",
        "outputId": "6936abc7-660c-4cc7-c677-e6dd7074af3b"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "        번호                                                도서명  \\\n",
              "1040  1060  실전 알고리즘 트레이딩 배우기 (파이썬으로 시작하는 알고리즘 트레이딩의 기초와 실전...   \n",
              "1162  1185                          파이썬으로 경험하는 빅데이터 분석과 머신러닝    \n",
              "1447  1504            금융 파이썬 쿡북 (금융 데이터 처리와 기술 분석부터 딥러닝 적용까지)   \n",
              "1563  1630      프로그래머를 위한 파이썬 (실전 프로젝트로 배우는 소프트웨어 개발의 원리와 정석)   \n",
              "1571  1640                엑셀 × 파이썬 업무 자동화 - 매크로, VBA는 이제 낡았다!   \n",
              "\n",
              "                             저자    출판사  발행년도           ISBN 세트 ISBN 부가기호    권  \\\n",
              "1040   세바스티앙 도나디오.수라브 고쉬 지음|이기홍  에이콘출판  2021  9791161754901     NaN  NaN  NaN   \n",
              "1162                 이영호,이수현 지음  생능출판사  2021  9788970504803     NaN    9  NaN   \n",
              "1447                     에릭 르윈슨  에이콘출판  2021  9791161750507     NaN  NaN  NaN   \n",
              "1563              데인 힐라드 지음|황반석    제이펍  2020  9791190665636     NaN  NaN  NaN   \n",
              "1571  카네히로 카즈미 (지은이), 서수환 (옮긴이)   인사이트  2020  9788966262847     NaN  NaN  NaN   \n",
              "\n",
              "       주제분류번호  도서권수  대출건수        등록일자  \n",
              "1040   004.73     1     1  2021-03-09  \n",
              "1162  005.135     1     1  2021-03-02  \n",
              "1447  005.133     1     2  2021-02-22  \n",
              "1563  005.133     1     2  2021-02-16  \n",
              "1571   005.53     1     2  2021-02-16  "
            ],
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              "      <th>1040</th>\n",
              "      <td>1060</td>\n",
              "      <td>실전 알고리즘 트레이딩 배우기 (파이썬으로 시작하는 알고리즘 트레이딩의 기초와 실전...</td>\n",
              "      <td>세바스티앙 도나디오.수라브 고쉬 지음|이기홍</td>\n",
              "      <td>에이콘출판</td>\n",
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              "      <th>1162</th>\n",
              "      <td>1185</td>\n",
              "      <td>파이썬으로 경험하는 빅데이터 분석과 머신러닝</td>\n",
              "      <td>이영호,이수현 지음</td>\n",
              "      <td>생능출판사</td>\n",
              "      <td>2021</td>\n",
              "      <td>9788970504803</td>\n",
              "      <td>NaN</td>\n",
              "      <td>9</td>\n",
              "      <td>NaN</td>\n",
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              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>2021-03-02</td>\n",
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              "    <tr>\n",
              "      <th>1447</th>\n",
              "      <td>1504</td>\n",
              "      <td>금융 파이썬 쿡북 (금융 데이터 처리와 기술 분석부터 딥러닝 적용까지)</td>\n",
              "      <td>에릭 르윈슨</td>\n",
              "      <td>에이콘출판</td>\n",
              "      <td>2021</td>\n",
              "      <td>9791161750507</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>005.133</td>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "      <td>2021-02-22</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1563</th>\n",
              "      <td>1630</td>\n",
              "      <td>프로그래머를 위한 파이썬 (실전 프로젝트로 배우는 소프트웨어 개발의 원리와 정석)</td>\n",
              "      <td>데인 힐라드 지음|황반석</td>\n",
              "      <td>제이펍</td>\n",
              "      <td>2020</td>\n",
              "      <td>9791190665636</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>005.133</td>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "      <td>2021-02-16</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1571</th>\n",
              "      <td>1640</td>\n",
              "      <td>엑셀 × 파이썬 업무 자동화 - 매크로, VBA는 이제 낡았다!</td>\n",
              "      <td>카네히로 카즈미 (지은이), 서수환 (옮긴이)</td>\n",
              "      <td>인사이트</td>\n",
              "      <td>2020</td>\n",
              "      <td>9788966262847</td>\n",
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              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>005.53</td>\n",
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              "      <td>2021-02-16</td>\n",
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              "\n",
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              "        document.querySelector('#df-0d0f9c06-254e-4b62-9022-e7efee59c788 button.colab-df-convert');\n",
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              "\n",
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              "                                                    [key], {});\n",
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              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
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              "          + ' to learn more about interactive tables.';\n",
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              "      --disabled-fill-color: #666;\n",
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              "\n",
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              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
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              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
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              "      border-color: transparent;\n",
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              "      border-bottom-color: var(--fill-color);\n",
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              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-ef080941-a971-459b-b1f3-13a7ce342511 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "    </div>\n",
              "  </div>\n"
            ]
          },
          "metadata": {},
          "execution_count": 18
        }
      ],
      "source": [
        "python_books_index = ns_book7['주제분류번호'].str.startswith('00') & \\\n",
        "                     ns_book7['도서명'].str.contains('파이썬')\n",
        "python_books = ns_book7[python_books_index]\n",
        "python_books.head()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 19,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "SCRT_UaSEofu",
        "outputId": "5b35dcd8-1f22-4552-eac1-de446c3397df"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "251"
            ]
          },
          "metadata": {},
          "execution_count": 19
        }
      ],
      "source": [
        "len(python_books)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 20,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "NNG_gi_hEaR2",
        "outputId": "61ad93b5-d0f9-4037-a83e-9e6869999854"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "14.749003984063744"
            ]
          },
          "metadata": {},
          "execution_count": 20
        }
      ],
      "source": [
        "python_mean = np.mean(python_books['대출건수'])\n",
        "python_mean"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 21,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "wtQ5vTaJsVqh",
        "outputId": "dd0d4326-6ac1-44d0-95f7-c51da6bfb9bb"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0.8041612072427442"
            ]
          },
          "metadata": {},
          "execution_count": 21
        }
      ],
      "source": [
        "python_std = np.std(python_books['대출건수'])\n",
        "python_se = python_std / np.sqrt(len(python_books))\n",
        "python_se"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 22,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "1O5vWMSy4SE0",
        "outputId": "6f3e5ff9-7a5a-415d-bda3-6a02fdf12ff4"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "1.959963984540054"
            ]
          },
          "metadata": {},
          "execution_count": 22
        }
      ],
      "source": [
        "stats.norm.ppf(0.975)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 23,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "boKsO4py4V0D",
        "outputId": "c0f5649b-dcbf-48c9-db0c-8e3fed42d53f"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "-1.9599639845400545"
            ]
          },
          "metadata": {},
          "execution_count": 23
        }
      ],
      "source": [
        "stats.norm.ppf(0.025)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 24,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "rlWys95NEJlc",
        "outputId": "56db6980-558f-475d-af9a-d6b10544b133"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "13.172848017867965 16.325159950259522\n"
          ]
        }
      ],
      "source": [
        "print(python_mean-1.96*python_se, python_mean+1.96*python_se)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "wqKCcAy-vdaD"
      },
      "source": [
        "## 통계적 의미 확인하기: 가설검정"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 25,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 362
        },
        "id": "RFET4aydA1s6",
        "outputId": "c56f2af4-6b32-4949-8a66-3bd1578a901b"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "          번호                                                도서명  \\\n",
              "101      103  C++를 사용한 언리얼 엔진 4 개발 2/e (100여 개의 레시피를 통해 배우는 ...   \n",
              "19754  20779                            Game Programming in C++   \n",
              "20198  21289                 C++ API OpenCV 프로그래밍 - 2nd Edition   \n",
              "21630  22950  Visual C++ 영상처리 프로그래밍 =Visual C++ image proces...   \n",
              "22461  23859                      Functional Programming in C++   \n",
              "\n",
              "                                저자    출판사  발행년도           ISBN 세트 ISBN 부가기호  \\\n",
              "101    존 도란.윌리엄 셰리프.스테판 화이틀 지음|조경빈    에이콘  2020  9791161754659     NaN  NaN   \n",
              "19754                     산자이 마드하브  에이콘출판  2019  9791161753560     NaN  NaN   \n",
              "20198                          김동근  가메출판사  2016  9788980782864     NaN  NaN   \n",
              "21630                       황선규 지음     길벗  2015  9791186978153     NaN    9   \n",
              "22461            이반 추키츠 지음, 김점갑 옮김  에이콘출판  2019  9791161753416     NaN  NaN   \n",
              "\n",
              "         권   주제분류번호  도서권수  대출건수        등록일자  \n",
              "101    NaN   005.11     1     1  2021-03-15  \n",
              "19754  NaN  005.133     1    10  2019-11-26  \n",
              "20198  NaN   004.77     1     5  2019-11-05  \n",
              "21630  NaN   004.77     1     3  2019-10-22  \n",
              "22461  NaN  005.133     1     4  2019-09-26  "
            ],
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              "      <th>번호</th>\n",
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              "      <th>부가기호</th>\n",
              "      <th>권</th>\n",
              "      <th>주제분류번호</th>\n",
              "      <th>도서권수</th>\n",
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              "      <th>등록일자</th>\n",
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              "      <th>101</th>\n",
              "      <td>103</td>\n",
              "      <td>C++를 사용한 언리얼 엔진 4 개발 2/e (100여 개의 레시피를 통해 배우는 ...</td>\n",
              "      <td>존 도란.윌리엄 셰리프.스테판 화이틀 지음|조경빈</td>\n",
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              "      <th>19754</th>\n",
              "      <td>20779</td>\n",
              "      <td>Game Programming in C++</td>\n",
              "      <td>산자이 마드하브</td>\n",
              "      <td>에이콘출판</td>\n",
              "      <td>2019</td>\n",
              "      <td>9791161753560</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>005.133</td>\n",
              "      <td>1</td>\n",
              "      <td>10</td>\n",
              "      <td>2019-11-26</td>\n",
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              "    <tr>\n",
              "      <th>20198</th>\n",
              "      <td>21289</td>\n",
              "      <td>C++ API OpenCV 프로그래밍 - 2nd Edition</td>\n",
              "      <td>김동근</td>\n",
              "      <td>가메출판사</td>\n",
              "      <td>2016</td>\n",
              "      <td>9788980782864</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>004.77</td>\n",
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              "      <th>21630</th>\n",
              "      <td>22950</td>\n",
              "      <td>Visual C++ 영상처리 프로그래밍 =Visual C++ image proces...</td>\n",
              "      <td>황선규 지음</td>\n",
              "      <td>길벗</td>\n",
              "      <td>2015</td>\n",
              "      <td>9791186978153</td>\n",
              "      <td>NaN</td>\n",
              "      <td>9</td>\n",
              "      <td>NaN</td>\n",
              "      <td>004.77</td>\n",
              "      <td>1</td>\n",
              "      <td>3</td>\n",
              "      <td>2019-10-22</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>22461</th>\n",
              "      <td>23859</td>\n",
              "      <td>Functional Programming in C++</td>\n",
              "      <td>이반 추키츠 지음, 김점갑 옮김</td>\n",
              "      <td>에이콘출판</td>\n",
              "      <td>2019</td>\n",
              "      <td>9791161753416</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>005.133</td>\n",
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              "      <td>2019-09-26</td>\n",
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              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
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              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
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              "\n",
              "    .colab-df-buttons div {\n",
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              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "    <script>\n",
              "      const buttonEl =\n",
              "        document.querySelector('#df-4fbf362b-54a0-4462-b916-2f9184692abc button.colab-df-convert');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      async function convertToInteractive(key) {\n",
              "        const element = document.querySelector('#df-4fbf362b-54a0-4462-b916-2f9184692abc');\n",
              "        const dataTable =\n",
              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
              "        const docLink = document.createElement('div');\n",
              "        docLink.innerHTML = docLinkHtml;\n",
              "        element.appendChild(docLink);\n",
              "      }\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "\n",
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              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-2d569f25-f5e9-4cb4-87b9-32999cc491cb')\"\n",
              "            title=\"Suggest charts\"\n",
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              "\n",
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              "\n",
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              "      --disabled-fill-color: #666;\n",
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              "\n",
              "  .colab-df-quickchart {\n",
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              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
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              "    background-color: var(--disabled-bg-color);\n",
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              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
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              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-2d569f25-f5e9-4cb4-87b9-32999cc491cb button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "    </div>\n",
              "  </div>\n"
            ]
          },
          "metadata": {},
          "execution_count": 25
        }
      ],
      "source": [
        "cplus_books_index = ns_book7['주제분류번호'].str.startswith('00') & \\\n",
        "                    ns_book7['도서명'].str.contains('C++', regex=False)\n",
        "cplus_books = ns_book7[cplus_books_index]\n",
        "cplus_books.head()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 26,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Rl_7qMNw5-6U",
        "outputId": "e91d4811-af38-441d-89d5-034832945863"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "89"
            ]
          },
          "metadata": {},
          "execution_count": 26
        }
      ],
      "source": [
        "len(cplus_books)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 27,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "MZvrZBNbA3Eb",
        "outputId": "a98d848a-0ad7-4b46-ea8b-63d2db3c27e7"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "11.595505617977528"
            ]
          },
          "metadata": {},
          "execution_count": 27
        }
      ],
      "source": [
        "cplus_mean = np.mean(cplus_books['대출건수'])\n",
        "cplus_mean"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 28,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "OYVLvz89A8no",
        "outputId": "4525bed5-567f-4ff7-ff26-5c2fabbcfb8e"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0.9748405650607009"
            ]
          },
          "metadata": {},
          "execution_count": 28
        }
      ],
      "source": [
        "cplus_se = np.std(cplus_books['대출건수'])/ np.sqrt(len(cplus_books))\n",
        "cplus_se"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 29,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Y848zkB_3I_Q",
        "outputId": "b27ad62d-3795-4c39-88b7-a82bae3094bd"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "2.495408195140708"
            ]
          },
          "metadata": {},
          "execution_count": 29
        }
      ],
      "source": [
        "(python_mean - cplus_mean) / np.sqrt(python_se**2 + cplus_se**2)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 30,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "9oRt_gdl3lQi",
        "outputId": "75a2af0e-4f66-4fbd-b9c3-992ed7b588b3"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0.9937903346742238"
            ]
          },
          "metadata": {},
          "execution_count": 30
        }
      ],
      "source": [
        "stats.norm.cdf(2.50)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 31,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "tVqtHLbi4NTk",
        "outputId": "aec7d198-c8d6-4a8b-f7a9-e010478eef03"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0.010000000000000009"
            ]
          },
          "metadata": {},
          "execution_count": 31
        }
      ],
      "source": [
        "p_value = (1-0.995)*2\n",
        "p_value"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 32,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "S-ggRj-Y4c6s",
        "outputId": "9163f416-20a4-4539-c013-6b5cea230c71"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "2.1390005694958574 0.03315179520224784\n"
          ]
        }
      ],
      "source": [
        "t, pvalue = stats.ttest_ind(python_books['대출건수'], cplus_books['대출건수'])\n",
        "print(t, pvalue)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "GrVfEp7f7b8c"
      },
      "source": [
        "## 정규분포가 아닐 때 가설 검증하기: 순열검정"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 33,
      "metadata": {
        "id": "-COEOtPShlf3"
      },
      "outputs": [],
      "source": [
        "def statistic(x, y):\n",
        "    return np.mean(x) - np.mean(y)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 34,
      "metadata": {
        "id": "f3uBrPMIhlf4"
      },
      "outputs": [],
      "source": [
        "def permutation_test(x, y):\n",
        "    # 표본의 평균 차이를 계산합니다.\n",
        "    obs_diff = statistic(x, y)\n",
        "    # 두 표본을 합칩니다.\n",
        "    all = np.append(x, y)\n",
        "    diffs = []\n",
        "    np.random.seed(42)\n",
        "    # 순열 검정을 1000번 반복합니다.\n",
        "    for _ in range(1000):\n",
        "        # 전체 인덱스를 섞습니다.\n",
        "        idx = np.random.permutation(len(all))\n",
        "        # 랜덤하게 두 그룹으로 나눈 다음 평균 차이를 계산합니다.\n",
        "        x_ = all[idx[:len(x)]]\n",
        "        y_ = all[idx[len(x):]]\n",
        "        diffs.append(statistic(x_, y_))\n",
        "    # 원본 표본보다 작거나 큰 경우의 p-값을 계산합니다.\n",
        "    less_pvalue = np.sum(diffs < obs_diff)/1000\n",
        "    greater_pvalue = np.sum(diffs > obs_diff)/1000\n",
        "    # 둘 중 작은 p-값을 선택해 2를 곱하여 최종 p-값을 반환합니다.\n",
        "    return obs_diff, np.minimum(less_pvalue, greater_pvalue) * 2"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 35,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "dxAnBnswhlf4",
        "outputId": "bc30b1e4-6c7f-402d-ff8d-9ff84f4d4efd"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(3.1534983660862164, 0.022)"
            ]
          },
          "metadata": {},
          "execution_count": 35
        }
      ],
      "source": [
        "permutation_test(python_books['대출건수'], cplus_books['대출건수'])"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 36,
      "metadata": {
        "id": "oLXMRzoXOSul"
      },
      "outputs": [],
      "source": [
        "# scipy 1.8 버전 이상에서만 실행됩니다.\n",
        "# res = stats.permutation_test((python_books['대출건수'], cplus_books['대출건수']),\n",
        "#                              statistic, random_state=42)\n",
        "# 결과는 약 3.153 0.0258입니다.\n",
        "# print(res.statistic, res.pvalue)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 37,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 328
        },
        "id": "w_FxyhAa-1tv",
        "outputId": "dee400d2-56f7-4d0f-e2b9-76b6f140248b"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "          번호                                                도서명  \\\n",
              "1030    1049  자바스크립트로 하는 자료 구조와 알고리즘 (핵심 자료 구조 및 알고리즘을 이해하고 ...   \n",
              "2521    2627              프레임워크 없는 프론트엔드 개발 (자바스크립트 프레임워크 뜯어보기)   \n",
              "4989    5330                     (ES6로 기초부터 다시 배우는) 자바스크립트 파워북    \n",
              "4997    5338         모던 자바스크립트 deep dive :자바스크립트의 기본 개념과 동작 원리    \n",
              "14028  14759  (자바스크립트와 함께하는) 블록체인 코딩 :JavaScript와node.js로 분산...   \n",
              "\n",
              "                                 저자      출판사  발행년도           ISBN 세트 ISBN  \\\n",
              "1030                     <b>배세민</b>      에이콘  2019  9791161753447     NaN   \n",
              "2521                    프란세스코 스트라츨로    에이콘출판  2021  9791161754895     NaN   \n",
              "4989                        어포스트 지음     어포스트  2020  9791197122811     NaN   \n",
              "4997                         이웅모 지음     위키북스  2020  9791158392239     NaN   \n",
              "14028  Eric Traub 지음 ;금창섭,안휘,이재준 옮김  홍릉과학출판사  2020  9791156007043     NaN   \n",
              "\n",
              "      부가기호    권   주제분류번호  도서권수  대출건수        등록일자  \n",
              "1030   NaN  NaN  005.138     1     1  2021-03-09  \n",
              "2521   NaN  NaN  005.138     1     1  2021-02-08  \n",
              "4989     9  NaN  005.133     1     4  2020-10-19  \n",
              "4997     9  NaN  005.138     1     4  2020-10-19  \n",
              "14028    9  NaN    005.1     1     4  2020-04-20  "
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              "      <td>자바스크립트로 하는 자료 구조와 알고리즘 (핵심 자료 구조 및 알고리즘을 이해하고 ...</td>\n",
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              "      <td>에이콘출판</td>\n",
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              "      <th>4997</th>\n",
              "      <td>5338</td>\n",
              "      <td>모던 자바스크립트 deep dive :자바스크립트의 기본 개념과 동작 원리</td>\n",
              "      <td>이웅모 지음</td>\n",
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              "      <td>(자바스크립트와 함께하는) 블록체인 코딩 :JavaScript와node.js로 분산...</td>\n",
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              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-1909341a-f28a-4723-8a83-fd35fa955c6a button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "    </div>\n",
              "  </div>\n"
            ]
          },
          "metadata": {},
          "execution_count": 37
        }
      ],
      "source": [
        "java_books_indx = ns_book7['주제분류번호'].str.startswith('00') & \\\n",
        "                  ns_book7['도서명'].str.contains('자바스크립트')\n",
        "java_books = ns_book7[java_books_indx]\n",
        "java_books.head()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 38,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "E4o7ZVPzCDwq",
        "outputId": "2cd0edc3-8914-4488-de76-6284e9cd79e4"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "105 15.533333333333333\n"
          ]
        }
      ],
      "source": [
        "print(len(java_books), np.mean(java_books['대출건수']))"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 39,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "5jR5wa2Jhlf7",
        "outputId": "75ba6a4a-3ee0-42ba-f4fa-0cbd249e7a4a"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(-0.7843293492695889, 0.566)"
            ]
          },
          "metadata": {},
          "execution_count": 39
        }
      ],
      "source": [
        "permutation_test(python_books['대출건수'], java_books['대출건수'])"
      ]
    }
  ],
  "metadata": {
    "colab": {
      "provenance": []
    },
    "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": "3.7.3"
    }
  },
  "nbformat": 4,
  "nbformat_minor": 0
}