wireless_use_data.ipynb

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      "authorship_tag": "ABX9TyMU6wo/TkxDOnj9V7ZfRldG"
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  "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": "pFi7XxXKqTUv",
        "outputId": "4154304c-68d7-41ec-b2bc-bcf5f5a9b4a3"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Reading package lists... Done\n",
            "Building dependency tree       \n",
            "Reading state information... Done\n",
            "fonts-nanum is already the newest version (20180306-3).\n",
            "0 upgraded, 0 newly installed, 0 to remove and 23 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: 10 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": null,
      "metadata": {
        "id": "iJYUsQrba4DI"
      },
      "outputs": [],
      "source": [
        "import pandas as pd\n",
        "import matplotlib.pyplot as plt\n",
        "%matplotlib inline"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "wirelessData = pd.read_csv('../content/sample_data/무선데이터 트래픽 통계.csv', encoding='euc-kr')\n",
        "# wirelessData.head(100)\n",
        "# print(wirelessData.dtypes)\n",
        "# wirelessData = wirelessData.astype({'구분': 'object'})\n",
        "# print(wirelessData.dtypes)\n",
        "wirelessData.head(100)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "pzOh_AMreqBH",
        "outputId": "d209a1bf-a407-4968-985e-54e47ca0b602"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
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              "        구분      합계\n",
              "0   `16.12  270416\n",
              "1   `17.12  330594\n",
              "2   `18.12  419839\n",
              "3   `19.12  595310\n",
              "4    `20.1  608323\n",
              "5    `20.2  584027\n",
              "6    `20.3  639468\n",
              "7    `20.4  583398\n",
              "8    `20.5  615774\n",
              "9    `20.6  616637\n",
              "10   `20.7  687373\n",
              "11   `20.8  709347\n",
              "12   `20.9  674358\n",
              "13  `20.10  711053\n",
              "14  `20.11  695743\n",
              "15  `20.12  711937\n",
              "16   `21.1  705115\n",
              "17   `21.2  650021\n",
              "18   `21.3  744507\n",
              "19   `21.4  747472\n",
              "20   `21.5  791035\n",
              "21   `21.6  783794\n",
              "22   `21.7  798035\n",
              "23   `21.8  800396\n",
              "24   `21.9  792974\n",
              "25  `21.10  830536\n",
              "26  `21.11  811548\n",
              "27  `21.12  842772\n",
              "28   `22.1  841546\n",
              "29   `22.2  774639\n",
              "30   `22.3  882976\n",
              "31   `22.4  872708\n",
              "32   `22.5  926977\n",
              "33   `22.6  899145\n",
              "34   `22.7  946486\n",
              "35   `22.8  976414\n",
              "36   `22.9  966591\n",
              "37  `22.10  996799\n",
              "38  `22.11  964123\n",
              "39  `22.12  975189\n",
              "40   `23.1  973515"
            ],
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              "    <tr style=\"text-align: right;\">\n",
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              "      <th>구분</th>\n",
              "      <th>합계</th>\n",
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              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>`16.12</td>\n",
              "      <td>270416</td>\n",
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              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>`17.12</td>\n",
              "      <td>330594</td>\n",
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              "      <th>2</th>\n",
              "      <td>`18.12</td>\n",
              "      <td>419839</td>\n",
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              "      <th>3</th>\n",
              "      <td>`19.12</td>\n",
              "      <td>595310</td>\n",
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              "      <th>4</th>\n",
              "      <td>`20.1</td>\n",
              "      <td>608323</td>\n",
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              "      <th>5</th>\n",
              "      <td>`20.2</td>\n",
              "      <td>584027</td>\n",
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              "      <th>6</th>\n",
              "      <td>`20.3</td>\n",
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              "      <th>7</th>\n",
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              "      <th>8</th>\n",
              "      <td>`20.5</td>\n",
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              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>`20.6</td>\n",
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              "      <th>10</th>\n",
              "      <td>`20.7</td>\n",
              "      <td>687373</td>\n",
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              "      <th>11</th>\n",
              "      <td>`20.8</td>\n",
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              "      <th>12</th>\n",
              "      <td>`20.9</td>\n",
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              "      <th>13</th>\n",
              "      <td>`20.10</td>\n",
              "      <td>711053</td>\n",
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              "      <th>14</th>\n",
              "      <td>`20.11</td>\n",
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              "      <th>15</th>\n",
              "      <td>`20.12</td>\n",
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              "      <th>16</th>\n",
              "      <td>`21.1</td>\n",
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              "      <th>17</th>\n",
              "      <td>`21.2</td>\n",
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              "      <td>`21.3</td>\n",
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              "      <th>20</th>\n",
              "      <td>`21.5</td>\n",
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              "      <td>`21.6</td>\n",
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              "      <th>22</th>\n",
              "      <td>`21.7</td>\n",
              "      <td>798035</td>\n",
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              "      <th>23</th>\n",
              "      <td>`21.8</td>\n",
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              "      <th>24</th>\n",
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              "      <th>25</th>\n",
              "      <td>`21.10</td>\n",
              "      <td>830536</td>\n",
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              "      <th>26</th>\n",
              "      <td>`21.11</td>\n",
              "      <td>811548</td>\n",
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              "      <th>27</th>\n",
              "      <td>`21.12</td>\n",
              "      <td>842772</td>\n",
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              "      <th>28</th>\n",
              "      <td>`22.1</td>\n",
              "      <td>841546</td>\n",
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              "      <td>`22.2</td>\n",
              "      <td>774639</td>\n",
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              "      <th>30</th>\n",
              "      <td>`22.3</td>\n",
              "      <td>882976</td>\n",
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              "      <th>31</th>\n",
              "      <td>`22.4</td>\n",
              "      <td>872708</td>\n",
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              "      <th>32</th>\n",
              "      <td>`22.5</td>\n",
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              "      <th>33</th>\n",
              "      <td>`22.6</td>\n",
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              "      <th>40</th>\n",
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              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
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          },
          "metadata": {},
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      ]
    },
    {
      "cell_type": "code",
      "source": [
        "plt.rc('font', family='NanumBarunGothic')\n",
        "\n",
        "plt.figure(figsize=(25, 10))\n",
        "plt.bar(wirelessData['구분'], wirelessData['합계'], width=0.5)\n",
        "plt.xlabel('날 짜', fontsize=20)\n",
        "plt.ylabel('합 계', fontsize=20)\n",
        "plt.title('무선데이터 트래픽 통계[2023년 1월]', fontsize= 35)\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 444
        },
        "id": "SgeGp5jPe9h4",
        "outputId": "6ad8d518-940b-4d8d-a461-70c72a5599c3"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1800x720 with 1 Axes>"
            ],
            "image/png": 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\n"
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          "metadata": {
            "needs_background": "light"
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        }
      ]
    }
  ]
}