Data.ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "provenance": []
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "cells": [
    {
      "cell_type": "code",
      "source": [
        "!sudo apt-get install -y fonts-nanum\n",
        "!sudo fc-cache -fv\n",
        "!rm ~/.cache/matplotlib -rf"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "R9aF1s9csYyp",
        "outputId": "8e5d818f-c6db-4806-c756-83c116bf00ba"
      },
      "execution_count": 1,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Reading package lists... Done\n",
            "Building dependency tree... Done\n",
            "Reading state information... Done\n",
            "fonts-nanum is already the newest version (20200506-1).\n",
            "0 upgraded, 0 newly installed, 0 to remove and 45 not upgraded.\n",
            "/usr/share/fonts: caching, new cache contents: 0 fonts, 1 dirs\n",
            "/usr/share/fonts/truetype: caching, new cache contents: 0 fonts, 3 dirs\n",
            "/usr/share/fonts/truetype/humor-sans: caching, new cache contents: 1 fonts, 0 dirs\n",
            "/usr/share/fonts/truetype/liberation: caching, new cache contents: 16 fonts, 0 dirs\n",
            "/usr/share/fonts/truetype/nanum: caching, new cache contents: 12 fonts, 0 dirs\n",
            "/usr/local/share/fonts: caching, new cache contents: 0 fonts, 0 dirs\n",
            "/root/.local/share/fonts: skipping, no such directory\n",
            "/root/.fonts: skipping, no such directory\n",
            "/usr/share/fonts/truetype: skipping, looped directory detected\n",
            "/usr/share/fonts/truetype/humor-sans: skipping, looped directory detected\n",
            "/usr/share/fonts/truetype/liberation: skipping, looped directory detected\n",
            "/usr/share/fonts/truetype/nanum: skipping, looped directory detected\n",
            "/var/cache/fontconfig: cleaning cache directory\n",
            "/root/.cache/fontconfig: not cleaning non-existent cache directory\n",
            "/root/.fontconfig: not cleaning non-existent cache directory\n",
            "fc-cache: succeeded\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 2,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "AFR1gh000ID7",
        "outputId": "5a57380e-0540-497c-90a2-1d40bbe9bc11"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Drive already mounted at /content/drive; to attempt to forcibly remount, call drive.mount(\"/content/drive\", force_remount=True).\n"
          ]
        }
      ],
      "source": [
        "import pandas as pd\n",
        "import matplotlib.pyplot as plt\n",
        "import os\n",
        "\n",
        "plt.rc('font', family='NanumBarunGothic')\n",
        "\n",
        "# 구글 드라이브 마운트\n",
        "from google.colab import drive\n",
        "drive.mount('/content/drive')\n",
        "\n",
        "# CSV 파일이 저장된 폴더 경로\n",
        "folder_path = '/content/drive/MyDrive/DB프로젝트/data_csv/result_Data'"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "columns_to_read = ['계']\n",
        "\n",
        "# 해당 폴더 내의 모든 CSV 파일 목록\n",
        "file_list = sorted([f for f in os.listdir(folder_path) if f.endswith('.csv')])\n",
        "\n",
        "# 첫 번째 행의 데이터를 저장할 빈 데이터프레임 생성\n",
        "first_row_data = pd.DataFrame()\n",
        "\n",
        "file_path = os.path.join(folder_path, file_list[0])\n",
        "data = pd.read_csv(file_path, usecols=['계'])  # 첫 번째 행만 읽기\n",
        "data = data.drop(data.index[0])\n",
        "data = data.drop(data.index[0])\n",
        "data.columns = ['소비']\n",
        "data.index = [str(year) for year in range(2015, 2023)]\n",
        "first_row_data = pd.concat([first_row_data, data], axis=1)\n",
        "\n",
        "file_path = os.path.join(folder_path, file_list[1])\n",
        "data = pd.read_csv(file_path, usecols=['총 발전량'])  # 첫 번째 행만 읽기\n",
        "data.columns = ['발전']\n",
        "data.index = [str(year) for year in range(2015, 2023)]\n",
        "first_row_data = pd.concat([first_row_data, data], axis=1)\n",
        "\n",
        "file_path = os.path.join(folder_path, file_list[2])\n",
        "data = pd.read_csv(file_path, usecols=['전력거래량 (GWh)'])  # 첫 번째 행만 읽기\n",
        "data = data.drop(data.index[0])\n",
        "data = data.drop(data.index[0])\n",
        "data = data.drop(data.index[0])\n",
        "data.columns = ['거래']\n",
        "data.index = [str(year) for year in range(2015, 2023)]\n",
        "first_row_data = pd.concat([first_row_data, data], axis=1)\n",
        "\n",
        "file_path = os.path.join(folder_path, file_list[3])\n",
        "data = pd.read_csv(file_path, usecols=['계'])  # 첫 번째 행만 읽기\n",
        "data = data.drop(data.index[0])\n",
        "data = data.drop(data.index[0])\n",
        "data = data.drop(data.index[0])\n",
        "data.columns = ['판매']\n",
        "data.index = [str(year) for year in range(2015, 2023)]\n",
        "first_row_data = pd.concat([first_row_data, data], axis=1)\n",
        "\n",
        "# 단위 수정 toe -> MWh\n",
        "first_row_data['소비'] = first_row_data['소비'] * 11.63\n",
        "\n",
        "# 단위 수정 GWh -> MWh\n",
        "first_row_data['거래'] = first_row_data['거래'] * 1000\n",
        "\n",
        "# 데이터프레임 출력\n",
        "print(first_row_data)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "LUmb7Qll5zO7",
        "outputId": "4d6e13d5-f5cc-47aa-bb86-e93af388b4c1"
      },
      "execution_count": 11,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                소비         발전         거래         판매\n",
            "2015  1.815072e+09  528091193  495361000  483654816\n",
            "2016  1.881524e+09  540440854  509234000  497038904\n",
            "2017  1.898944e+09  553530107  520917000  507746386\n",
            "2018  1.971992e+09  570646507  537061000  520498738\n",
            "2019  1.955645e+09  563040305  529851000  509269715\n",
            "2020  1.801998e+09  552162160  515983000  533430811\n",
            "2021  1.888217e+09  576809488  537061000  547932742\n",
            "2022  1.850461e+09  594400365  551380000  547932742\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "first_row_data.info()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "9rb6XUoZrLl8",
        "outputId": "e940c985-e247-48f6-e02a-f48125dfbee4"
      },
      "execution_count": 12,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "<class 'pandas.core.frame.DataFrame'>\n",
            "Index: 8 entries, 2015 to 2022\n",
            "Data columns (total 4 columns):\n",
            " #   Column  Non-Null Count  Dtype  \n",
            "---  ------  --------------  -----  \n",
            " 0   소비      8 non-null      float64\n",
            " 1   발전      8 non-null      int64  \n",
            " 2   거래      8 non-null      int64  \n",
            " 3   판매      8 non-null      int64  \n",
            "dtypes: float64(1), int64(3)\n",
            "memory usage: 320.0+ bytes\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# **지역별 에너지 판매량**"
      ],
      "metadata": {
        "id": "RzLOVWS9UBMI"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "for column in first_row_data.columns:\n",
        "    plt.figure(figsize=(10, 6))\n",
        "    plt.bar(first_row_data.index, first_row_data[column], color='skyblue')\n",
        "    plt.title(column)\n",
        "\n",
        "    plt.xticks(rotation=45)\n",
        "    plt.grid(axis='y')\n",
        "    plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "sbBoiWGWT8dC",
        "outputId": "51292011-d15f-47f2-b1cf-ce8bf571947f"
      },
      "execution_count": 13,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1000x600 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1000x600 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1000x600 with 1 Axes>"
            ],
            "image/png": 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CAgAAJEthAQAAkqWwAAAAyVJYAACAZCksAABAshQWAAAgWQoLAACQLIUFAABIlsICAAAkS2EBAACSpbAAAADJUlgAAIBkKSwAAECyFBYAACBZCgsAAJAshQUAAEiWwgIAACRLYQEAAJJVcmG56667YvTo0dGvX7/YbbfdYvz48fHUU0+1x2wAAMAOruTC8sADD8Q111wTb7zxRvzv//5vDB8+PI455phobm5uj/kAAIAdWMmF5Y477ohDDjkkCoVCVFZWxsSJE+ONN96I+vr69pgPAADYgVVuz51ff/31uPrqq+Poo4+Ovn37bnR7sViMYrHYcr2xsTEiIpqamqKpqWl7nrpNVDSvLfcISWur75Gct07W+ZBzPuScH1nnQ875kHN+UngfHtH6OQpZlmXb8gSHHnpoPPzww/HJT34yfvnLX0ZNTc1G61x55ZUxderUjZbPnj07unbtui1PCwAAdAIrV66MSZMmRUNDQ3Tr1m2z621zYYmIeOutt+JrX/ta/M///E/MmzcvPvShD21w+6a2sNTW1kZ9ff0Wh8rL9Plvl3uEpF388d5t8jhy3jpZ50PO+ZBzfmSdDznnQ875aaust1djY2PU1NRstbBs1y5hffv2jRtvvDE+8pGPxEMPPRTHHXfcBrdXV1dHdXX1RverqqqKqqqq7XnqNtFcsV3//E6vrb5Hct46WedDzvmQc35knQ8550PO+UnhfXhE6+co6aD7devWbfwAFRXRpUuX6NKlSykPBQAAsFUlFZYFCxbEpz71qViwYEFERKxZsya++MUvRr9+/eLQQw9tlwEBAIAdV0nbzA488MA46qij4uyzz45XXnklKisrY+TIkfHggw/Ghz/84faaEQAA2EGVVFi6dOkSF110UVx00UXtNQ8AAECLkj84EgAAIC8KCwAAkCyFBQAASJbCAgAAJEthAQAAkqWwAAAAyVJYAACAZCksAABAshQWAAAgWQoLAACQLIUFAABIlsICAAAkS2EBAACSpbAAAADJUlgAAIBkKSwAAECyFBYAACBZCgsAAJAshQUAAEiWwgIAACRLYQEAAJKlsAAAAMlSWAAAgGQpLAAAQLIUFgAAIFkKCwAAkCyFBQAASJbCAgAAJEthAQAAkqWwAAAAyVJYAACAZCksAABAshQWAAAgWQoLAACQLIUFAABIlsICAAAkS2EBAACSpbAAAADJUlgAAIBkKSwAAECyFBYAACBZCgsAAJAshQUAAEiWwgIAACRLYQEAAJKlsAAAAMlSWAAAgGQpLAAAQLIUFgAAIFkKCwAAkCyFBQAASJbCAgAAJEthAQAAkqWwAAAAyVJYAACAZCksAABAshQWAAAgWQoLAACQLIUFAABIlsICAAAkS2EBAACSpbAAAADJUlgAAIBkKSwAAECyFBYAACBZCgsAAJAshQUAAEiWwgIAACRLYQEAAJJVcmF57LHHYvz48dG3b9/o379/HHHEEfHkk0+2w2gAAMCOruTC8pWvfCUuuOCCeP311+PVV1+Ngw8+OE488cT2mA0AANjBlVxYfvvb38YJJ5wQXbp0iYqKijjrrLPi5ZdfjjfffLM95gMAAHZglSXfoXLDuzzyyCPRr1+/qKmp2WjdYrEYxWKx5XpjY2NERDQ1NUVTU1OpT93mKprXlnuEpLXV90jOWyfrfMg5H3LOj6zzIed8yDk/KbwPj2j9HIUsy7JtfZJFixbFyJEj4/rrr48zzzxzo9uvvPLKmDp16kbLZ8+eHV27dt3WpwUAADq4lStXxqRJk6KhoSG6deu22fW2ubC88847MXr06DjmmGPiP/7jPza5zqa2sNTW1kZ9ff0Wh8rL9Plvl3uEpF388d5t8jhy3jpZ50PO+ZBzfmSdDznnQ875aaust1djY2PU1NRstbCUvEtYRMTy5cvj2GOPjYMOOiiuvfbaza5XXV0d1dXVGy2vqqqKqqqqbXnqNtVcsU3//B1GW32P5Lx1ss6HnPMh5/zIOh9yzoec85PC+/CI1s9R8kH3q1atiuOPPz4GDBgQt912WxQKhZKHAwAAaI2SCsuaNWvipJNOiurq6vjpT3+60QH4AAAAbamkxvHII4/Eb37zm+jVq1fsvvvuG9z24x//OMaNG9emwwEAADu2kgrLmDFjYjtOKgYAAFCSko9hAQAAyIvCAgAAJEthAQAAkqWwAAAAyVJYAACAZCksAABAshQWAAAgWQoLAACQLIUFAABIlsICAAAkS2EBAACSpbAAAADJUlgAAIBkKSwAAECyFBYAACBZCgsAAJAshQUAAEiWwgIAACRLYQEAAJKlsAAAAMlSWAAAgGQpLAAAQLIUFgAAIFkKCwAAkCyFBQAASJbCAgAAJEthAQAAkqWwAAAAyVJYAACAZCksAABAshQWAAAgWQoLAACQLIUFAABIlsICAAAkS2EBAACSpbAAAADJUlgAAIBkKSwAAECyFBYAACBZCgsAAJAshQUAAEiWwgIAACRLYQEAAJKlsAAAAMlSWAAAgGQpLAAAQLIUFgAAIFkKCwAAkCyFBQAASJbCAgAAJEthAQAAkqWwAAAAyVJYAACAZCksAABAshQWAAAgWQoLAACQLIUFAABIlsICAAAkS2EBAACSpbAAAADJUlgAAIBkKSwAAECyFBYAACBZCgsAAJAshQUAAEiWwgIAACRLYQEAAJKlsAAAAMlSWAAAgGRtU2FZsmRJjBo1KgqFQqxdu7atZwIAAIiIbSgsjz76aHzyk5+MYcOGtcM4AAAA/6fkwrLXXnvFwoULY9KkSe0xDwAAQIvKUu/Qu3fvVq9bLBajWCy2XG9sbIyIiKampmhqair1qdtcRbPd2bakrb5Hct46WedDzvmQc35knQ8550PO+UnhfXhE6+coZFmWbcsTzJ07Nw4//PBoamqKyspN954rr7wypk6dutHy2bNnR9euXbflaQEAgE5g5cqVMWnSpGhoaIhu3bptdr12LSyb2sJSW1sb9fX1WxwqL9Pnv13uEZJ28cdbvzVtS+S8dbLOh5zzIef8yDofcs6HnPPTVllvr8bGxqipqdlqYSl5l7BSVFdXR3V19UbLq6qqoqqqqj2fulWaK9r1n9/htdX3SM5bJ+t8yDkfcs6PrPMh53zIOT8pvA+PaP0cPocFAABIlsICAAAkS2EBAACStc07+Y0dOza28Xh9AACAVrGFBQAASJbCAgAAJEthAQAAkqWwAAAAyVJYAACAZCksAABAshQWAAAgWQoLAACQLIUFAABIlsICAAAkS2EBAACSpbAAAADJUlgAAIBkKSwAAECyFBYAACBZCgsAAJAshQUAAEiWwgIAACRLYQEAAJKlsAAAAMlSWAAAgGQpLAAAQLIUFgAAIFkKCwAAkCyFBQAASJbCAgAAJEthAQAAkqWwAAAAyVJYAACAZCksAABAshQWAAAgWQoLAACQLIUFAABIlsICAAAkS2EBAACSpbAAAADJUlgAAIBkKSwAAECyFBYAACBZCgsAAJAshQUAAEiWwgIAACRLYQEAAJKlsAAAAMlSWAAAgGQpLAAAQLIUFgAAIFkKCwAAkCyFBQAASJbCAgAAJEthAQAAkqWwAAAAyVJYAACAZCksAABAshQWAAAgWQoLAACQLIUFAABIlsICAAAkS2EBAACSpbAAAADJUlgAAIBkKSwAAECyFBYAACBZCgsAAJAshQUAAEiWwgIAACRLYQEAAJKlsAAAAMkqubCsXr06Lrjggujfv3/069cvTjvttHj77bfbYzYAAGAHV3Jh+cIXvhDPPPNMPPfcc/Hyyy9HRMSkSZPafDAAAIDKUlZuaGiI2267LebOnRvdunWLiIhrrrkmamtrY+HChbHffvu1y5AAAMCOqaTC8vjjj0eWZTFq1KiWZQMHDozdd989/vKXv2xUWIrFYhSLxZbrDQ0NERGxbNmyaGpq2p6528SaxnfKPULS3n670CaPI+etk3U+5JwPOedH1vmQcz7knJ+2ynp7vffeexERkWXZllfMSjB79uysX79+Gy0fOXJk9p3vfGej5d/4xjeyiHBxcXFxcXFxcXFxcdnkZcmSJVvsICVtYWlubo5CYeNGVlFREc3NzRst/+pXvxqXXHLJBvdftmxZ9O7de5OPsyNrbGyM2traWLJkScvudrQPWedDzvmQc35knQ8550PO+ZDzlmVZFu+9914MGDBgi+uVVFh69+4d7777bmRZtkHhWLZsWdTU1Gy0fnV1dVRXV2+wrEePHqU85Q6nW7duXtA5kXU+5JwPOedH1vmQcz7knA85b1737t23uk5JZwkbPnx4rFmzJp5++umWZcuWLYsXXngh/umf/qn0CQEAALagpMLSr1+/mDBhQlx88cXR0NAQq1atin//93+PESNGxIgRI9prRgAAYAdV8uew/OAHP4j+/fvHHnvsEQMGDIiVK1fGL37xi3YYbcdSXV0d3/jGNzbahY62J+t8yDkfcs6PrPMh53zIOR9ybhuFbKvnEQMAACiPkrewAAAA5EVhAQAAkqWwAAAAyVJYAACAZCksAABAshSWxK1evbrcI+wQli9fHqtWrSr3GJ3eq6++GvPnzy/3GNDmnHAzH3KGHZPCkrAnn3wyjjrqqHjrrbfKPUqntmDBgjjxxBPjb3/7m4LYjp5++ukYM2ZMXH311bF8+XJvPNrRK6+8Evfdd1/cd9998dRTT5V7nE5r2bJl8corr0R9fX00NzeXe5xOa9myZbFkyZJ488035dzO1q1bV+4Rdgivv/56zJ07N5566qloaGgo9zgdQmW5B2DT6urq4uSTT46LLroo+vbtW+5xOq1nnnkmxo8fH5MnT45DDz203ON0WnV1dXH88cfHIYccEosWLYrGxsbYZZddyj1Wp1RXVxennHJKDBkyJF544YXYY4894pZbbonBgweXe7ROZcGCBXH66afH4MGDY/HixXH88cfHiSeeGIcccki5R+tU6urqYuLEidG3b9+WrydMmBBHHHFEuUfrdJ577rmYPXt2nHXWWbHXXnuVe5xOq66uLk466aSora2NJ598MqZMmRKXXHJJ9OrVq9yjpS0jOfPnz8+GDBmSzZgxo9yjdGpr1qzJzj777Ox73/telmVZ1tzcnD377LPZs88+m7355ptlnq7zqKury3bffffs5ptvzrIsy0455ZTskksuyZqbm7Pm5uYyT9e5LFq0KBs8eHB24403ZlmWZQ899FA2ZMiQrK6ursyTdS4vvvhiNnDgwOyGG27IsizL5syZk51zzjnZEUcckf3xj38s83Sdx5IlS7La2tpsxowZWbFYzH70ox9lp59+enbggQdmd911V7nH6zSam5uzNWvWZMccc0xWKBSyyy+/PHvppZfKPVan9Pzzz2cDBw5s+Rl90003Zf37988ee+yxMk+WPltYErN06dI49thjY8KECTFlypSW5fPmzYvFixdHc3Nz7LvvvvGxj32sjFN2DlVVVfHuu+/GmDFjYu3atXHYYYdFRUVFPPfcc3HQQQfF+eefHyeffHK5x+zQnnzyyTjhhBPi8ssvj89//vMREXHYYYfFQw89FIVCoczTdT4/+9nPYty4cXHBBRdERMQRRxwRBxxwQLz00kuxcOHC6N+/f4wePbrMU3Z8v/71r+Poo4+OCy+8MCIijjrqqHjmmWfil7/8ZXznO9+J6urqGDVqVJmn7Pj+/ve/x8iRI1t+F5555pkxfPjwuO222+LSSy+NysrKOOmkk8o8ZcdXKBSiqqoqevXqFZMnT4477rgjisViXHjhhbbMtrG77747PvvZz7b8jJ48eXLcd9998cADD8TIkSOjubk5KiocrbEpUknM8uXLY+LEidHU1BTz5s2LiIhrr702zjvvvPje974Xl112WXz+85+Pv/zlL2WetGNrbm6OFStWxBtvvBFvv/12fOUrX4l99tknHnzwwbj99ttj3333jUsvvTR++9vflnvUDu2uu+6Kiy++OCZPntyy7PTTT4+//e1vceedd5Zxss5pxYoV8eabb7Yc93bVVVfFb37zm7jjjjvihhtuiH/5l3+JW2+9tcxTdnwrVqyIl156Kd57772WYyr233//+NznPheDBg2KuXPnRkQ43mI7rV27NubOnRsLFy5sWXbAAQfElClT4lOf+lRce+218cQTT5Rxws5h3bp18fLLL8fq1avjxhtvjBtuuCF++tOfxowZM2Lx4sXlHq9TybKs5Q/OxWIxIiL69OkT9fX1ERH+kLcFtrAkZsiQIXHuuefGPffcE7NmzYosy+L3v/99/OxnP4v99tsv5s+fH1dccUXU1dXFJz7xiXKP22EVCoX48Ic/HKecckr86U9/imKxGNddd13svPPOcdxxx8Xee+8dr776ajz22GMxbty4co/bYX37299u+TrLsmhubo4+ffrExIkTY9GiRRER/qLUhmpra+Oee+6JiRMnxq677hr33Xdf1NXVxd577x0rVqyI733ve/H9738/jjvuuOjbt69fjtuof//+8cILL8TDDz8cBxxwQBQKhfjiF78YV199dSxdujS+/OUvx7nnnmuf9O20zz77xIEHHhgPPvhgDBo0KLp27RoREXvssUecddZZsWDBgliwYEEMHz68zJN2bF26dIndd989fvSjH0VExIknnhjFYjG++MUvRkTY0tKGxo0bFyNHjoyI93OPiNh3333jlVdeiYj/KyxLly6NPn36lGfIRCksCVi1alXstNNOLS/e/fffPyZMmBCzZs2KX/3qV/Hf//3fsddee0WWZTFixIjo0aNH/PGPf4xzzz23zJN3LB/Mef0Phf333z+uueaaWLRoUZx33nkxbNiwyLIsPvrRj8Zuu+0Wjz32WJmn7nj+8fW8XqFQaFl28MEHx4UXXhhnnXWWX4Tb4R+znjx5cvTp0yeam5vjmWeeib333jv23nvvaGpqig9/+MOx1157xU477RTdunVTVkrwjzmfccYZ8fDDD8f5558fPXv2jMrKyjj11FPj2GOPjYj3t4q/8MILCkuJFi1aFHPmzIm33norPvvZz8aQIUPiiCOOiO9+97sxePDgGD9+fFRWvv+25aCDDorddtst7r///vjMZz5T5sk7nvVZL126NM4444wYPHhwdO3aNbIsi0KhEBMnToyIUFq20/qc33zzzfjc5z4XI0aMiIqKisiyrOW13KVLlw22ZN16663x+9//PmbOnBk777xzmSZPjz9rltnzzz8f48aNi4ceemiD3Qf233//uOiii+J3v/td7LXXXtHU1NRyGtjddtstDjrooHKN3CFtLufx48fHqaeeGsViMR566KF45513Wt7I9ejRI/bYYw+n3y3B5nL+RxMmTIjDDjssHn/88Yiw68y22FzWp5xySnz605+O1atXx7JlyyLi/eO1It4/leb6QkPrbC7nm266Ke6444646aab4pZbbonLL788IiLee++96Nmzp7JSogULFsS4ceNiwYIFcfvtt8fJJ58cixcvjv/3//5fHHvssXH22WfHfffdF42NjS336d+/f+y5555lnLpj+mDWt912W5x22mnx4osvtty+/nfexIkT49prr42f//znMW3atHj55ZfLNXKH9MGc77jjjpgwYUK88MILLbevz7m6urplL4OZM2fG5ZdfHl/+8peVlX9UpoP9d3jrz4501VVXZYVCIdtzzz2z3//+9xudNekfr//gBz/I+vXrlz377LO5zdqRtTbnqVOnZqNHj84uu+yy7NZbb82uueaarKamJps/f345xu5wWpvzB51zzjnZ2LFj8xqx02ht1tOmTct69eqV/eEPf8gWLlyY3XLLLdmuu+6aPfnkk+UYu8PZltd0lmXZrFmzsoMOOiirr6/PY8xO4eWXX84++tGPZjNnzmxZNnTo0Ozcc89tuT5lypRszz33zC655JLshz/8YXbttddmNTU12YIFC8oxcoe1uawnT568wXoffJ3/8Ic/zA444ABnzyxBa3Jet25dlmXv53vJJZdkd955ZzZw4EA/ozdDYSmzT3/609ltt92WTZw4MevTp0/2u9/9bpO/EH/xi19k3/zmN7NBgwZl8+bNK8OkHVtrcr777ruzr33ta9k///M/Z6eddpofGtugNTmvv/74449nRx55ZFZfX+/0xtugNVmfeuqpWffu3bNhw4ZlBx98sNf0Nmjtz+hly5Zl06dPz/r06SPnEs2ZMyf7whe+kGVZljU1NWVZlmXf//73sxNOOGGD9WbOnJmdf/752YgRI7JPfepT2RNPPJHzpB3f1rL+4Gv7g183NjbmN2QnUErOP/nJT7JCoZANGjTIa3oLFJYymzFjRrZixYosy7LspJNOyvr27bvJX4gPPPBA9t3vfteWlW3U2pyzLMuKxWK2Zs2avEfsFErJ+Z133sneeuutvEfsNFqb9SOPPJItWrQoW7p0aTnG7PBam/OLL76Yfetb37JVdhvcfvvt2bRp0zZYdu+992b7779/ViwWW/Jfb/ny5dmqVavyHLHT2FrWxWJxg9vWrl2bZdnGe3uwZaXk/MADD2Q9e/b0/m4rFJYErP+BkGXvf6je5n4hrm/pbJvW5sz2aU3OMm8bm8t6/a4GtI3W/uzwh45t88Hc1r9258yZkw0dOnSD9Z566il/6d9OpWS9fPnyPEfrVFqb89NPP51lWeYPSq3goPscPf/88/HVr341pkyZEjfffHO89tprEfH+GSLWn4/7nnvuiUMPPTROO+20+MMf/rDBQZ7rzyjBlm1vzrTO9uTsDFWlKTXrP/7xj04WsQ2292fH+pMbsGUfzHnGjBmxdOnSltvWv267d+8e69ata1l+0003xYUXXhirV6/Ofd6ObHuyXrlyZe7zdlTbmvO5554b9fX1UVNTk/vMHY3CkpO6uroYM2ZMNDQ0RFVVVXz961+Pf/u3f4uf/exnEfH+WSLWrFkTEe//Qhw7dmyMGzcu/vznP5dz7A5HzvmQc362NeuHH364nGN3OF7T+fjHnL/xjW9skPP6U0d36dIlGhoaIuL9N3bf+c534rrrrvPZFCWQdT62J+cZM2YoK61V3g08O4bVq1dnp59+ejZ9+vSWZc8//3w2ceLE7Kijjsr+8z//s2X5BzcjfuYzn8mee+65PEft0OScDznnR9b5kHM+Ssl53rx52WGHHZZNnz7dmZO2gazzIef82MKSg+rq6mhoaGjZdaCpqSk++tGPxrRp02LgwIFxzz33xJw5cyLi/V0K1q5dGxERd9xxR+y9995lm7ujkXM+5JwfWedDzvloTc6/+c1vIiLiQx/6UPzpT3+K66+/Pu6///4YOnRoOUfvcGSdDznnR2FpR83NzS2/2Pr27RvPP/98RLx/LMq6deti0KBB8fWvfz2KxWLMnj275X6OVSmNnPMh5/zIOh9yzkcpOd95550REbHHHnvE6NGj49577/XGrgSyzoecy6Dcm3g6q4ULF2b/+q//mp188snZzJkzs0cffTTr0qVLNmvWrCzL3j9rxPozz/z1r3/NdtppJ5sHt4Gc8yHn/Mg6H3LOx7bk/Le//S3LMmcTLJWs8yHn8rCFpR3U1dXFuHHjomfPnrHvvvvGlClT4q9//WvMmjUrzj///Lj77rujoqIiKioqIsuy2HvvveOQQw6Jbt26lXv0DkXO+ZBzfmSdDznnY1tz7tWrV0Q4m2ApZJ0POZdR+bpS5/T2229no0aNym644YaWZT/4wQ+yMWPGZPX19dkVV1yRVVRUZNdff33LebdnzZqV7bPPPtkbb7xRrrE7HDnnQ875kXU+5JwPOedH1vmQc3kpLG1s8eLF2ZlnnrnBp5j++te/zvr165fV19dnWZZlM2fOzLp3754NGzYsO/zww7N+/fpljz/+eLlG7pDknA8550fW+ZBzPuScH1nnQ87l5cjBNtalS5fo2bNn7LTTTi3Lhg8fHt27d49Vq1ZFRMR5550Xhx9+eDz77LPR1NQUw4cPj8GDB5dp4o5JzvmQc35knQ8550PO+ZF1PuRcXoUs83HI7SXLsigUCtHU1BQf+9jH4q677ooDDzwwKioq4pFHHolBgwbFgAEDyj1mhyfnfMg5P7LOh5zzIef8yDofcs6fg+7bUaFQiLVr18aKFSuiWCxGVVVVVFRUxM033xwnnHBCrFu3rtwjdgpyzoec8yPrfMg5H3LOj6zzIef8KSztrFAoRFVVVey8884xYMCA+OEPfxhXX311/Pa3v43a2tpyj9dpyDkfcs6PrPMh53zIOT+yzoec82WXsJwceeSRUVNTE3/+85/j/vvvj2HDhpV7pE5JzvmQc35knQ8550PO+ZF1PuScD4WlnWVZFitWrIghQ4bEmjVr4pFHHon999+/3GN1OnLOh5zzI+t8yDkfcs6PrPMh53wpLDm59dZb45BDDon99tuv3KN0anLOh5zzI+t8yDkfcs6PrPMh53woLDlZf0YJ2pec8yHn/Mg6H3LOh5zzI+t8yDkfCgsAAJAsZwkDAACSpbAAAADJUlgAAIBkKSwAAECyFBYAACBZCgsAAJAshQUAAEiWwgIAACRLYQEAAJKlsAAAAMn6//mdSTdxH/khAAAAAElFTkSuQmCC\n"
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1000x600 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "#**꺾은선 그래프**"
      ],
      "metadata": {
        "id": "b-QKXeIsTVka"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# 'total' 열을 제외한 열만 선택하여 새로운 데이터프레임 생성\n",
        "data_without_total = first_row_data.drop(columns=[])\n",
        "\n",
        "# 그래프를 담을 figure 생성\n",
        "plt.figure(figsize=(10, 6))\n",
        "\n",
        "# 각 열의 데이터에 대해 꺾은선 그래프로 추가\n",
        "for column in data_without_total.columns:\n",
        "    plt.plot(data_without_total.index, data_without_total[column], marker='o', label=column)\n",
        "\n",
        "# 그래프에 제목, 레이블, 범례 등 추가\n",
        "plt.xlabel('년')\n",
        "plt.xticks(rotation=45)\n",
        "plt.grid(axis='y')\n",
        "plt.legend()\n",
        "\n",
        "# 그래프 출력\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 575
        },
        "id": "GvxtvfGIThxG",
        "outputId": "4f1252fa-e2e9-4769-eed6-06cd6871e5c5"
      },
      "execution_count": 14,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1000x600 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# 'total' 열을 제외한 열만 선택하여 새로운 데이터프레임 생성\n",
        "data_without_total = first_row_data.drop(columns=['소비'])\n",
        "\n",
        "# 그래프를 담을 figure 생성\n",
        "plt.figure(figsize=(10, 6))\n",
        "\n",
        "# 각 열의 데이터에 대해 꺾은선 그래프로 추가\n",
        "for column in data_without_total.columns:\n",
        "    plt.plot(data_without_total.index, data_without_total[column], marker='o', label=column)\n",
        "\n",
        "# 그래프에 제목, 레이블, 범례 등 추가\n",
        "plt.xlabel('년')\n",
        "plt.xticks(rotation=45)\n",
        "plt.grid(axis='y')\n",
        "plt.legend()\n",
        "\n",
        "# 그래프 출력\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 575
        },
        "id": "yuQH038NmF6-",
        "outputId": "6f87dae6-6dca-4a6b-9db9-07765e0f6e3a"
      },
      "execution_count": 15,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1000x600 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "oXnuQBCsmnIZ"
      },
      "execution_count": null,
      "outputs": []
    }
  ]
}