{
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  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "name": "waset_data_analysis.ipynb",
      "version": "0.3.2",
      "provenance": []
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    }
  },
  "cells": [
    {
      "cell_type": "code",
      "metadata": {
        "id": "mfNt1v6zr0CX",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "import pandas as pd"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "B8Km6HVJrv0Z",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "waset_data = pd.read_csv(\"https://data.newstapa.org/datasets/%EA%B0%80%EC%A7%9C%ED%95%99%ED%9A%8C-WASET-%ED%95%9C%EA%B5%AD-%EA%B4%80%EB%A0%A8-%EB%8D%B0%EC%9D%B4%ED%84%B0/files/waset-20180727.csv\", sep=',')"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "77oYp1ZFsGNp",
        "colab_type": "code",
        "outputId": "7e902809-b844-4c7c-dc11-7cac0ce523e4",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "waset_data.shape"
      ],
      "execution_count": 7,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(2441, 8)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 7
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "x-taQPuxsUfu",
        "colab_type": "code",
        "outputId": "4d0d2638-0fd7-47f8-87a6-f6ec4c120e4d",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "waset_data.columns"
      ],
      "execution_count": 8,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Index(['no', '분류', '중복', 'Institution', 'Title', '저자', 'Year', 'Pdf Link'], dtype='object')"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 8
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "pzUbLu9wsXTm",
        "colab_type": "code",
        "outputId": "d5c05b55-0e76-4f71-efe0-beb33f28e871",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 359
        }
      },
      "source": [
        "waset_data.head(10)"
      ],
      "execution_count": 9,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>no</th>\n",
              "      <th>분류</th>\n",
              "      <th>중복</th>\n",
              "      <th>Institution</th>\n",
              "      <th>Title</th>\n",
              "      <th>저자</th>\n",
              "      <th>Year</th>\n",
              "      <th>Pdf Link</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>1</td>\n",
              "      <td>Periodical</td>\n",
              "      <td>0</td>\n",
              "      <td>Seoul National University</td>\n",
              "      <td>2D and 3D Finite Element Method Packages of CE...</td>\n",
              "      <td>Choon Ki Ahn, Jung Hun Park, and Wook Hyun Kwon</td>\n",
              "      <td>2007</td>\n",
              "      <td>https://waset.org/publications/10964/2d-and-3d...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>2</td>\n",
              "      <td>Abstract</td>\n",
              "      <td>0</td>\n",
              "      <td>Seoul National University</td>\n",
              "      <td>A 3-Dimensional Memory-Based Model for Plannin...</td>\n",
              "      <td>Minho Lee,Donghyun Back,Jaemoon Jung,Woojin Park</td>\n",
              "      <td>2016</td>\n",
              "      <td>https://waset.org/pdf/books/?id=52549&amp;pageNumb...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>3</td>\n",
              "      <td>Abstract</td>\n",
              "      <td>1</td>\n",
              "      <td>Seoul National University</td>\n",
              "      <td>A Framework for Designing Complex Product-Serv...</td>\n",
              "      <td>Yoonjung An,Yongtae Park</td>\n",
              "      <td>2015</td>\n",
              "      <td>https://waset.org/pdf/books/?id=26766&amp;pageNumb...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>4</td>\n",
              "      <td>Periodical</td>\n",
              "      <td>0</td>\n",
              "      <td>Seoul National University</td>\n",
              "      <td>A Framework for Designing Complex Product-Serv...</td>\n",
              "      <td>Yoonjung An,Yongtae Park</td>\n",
              "      <td>2015</td>\n",
              "      <td>https://waset.org/publications/10000960/a-fram...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>5</td>\n",
              "      <td>Abstract</td>\n",
              "      <td>0</td>\n",
              "      <td>Seoul National University</td>\n",
              "      <td>A Literature Review of Ergonomics Sitting Stud...</td>\n",
              "      <td>Yoonjin Lee,Dongwook Hwang,Juhee Park,Woojin Park</td>\n",
              "      <td>2016</td>\n",
              "      <td>https://waset.org/pdf/books/?id=52542&amp;pageNumb...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>6</td>\n",
              "      <td>Abstract</td>\n",
              "      <td>0</td>\n",
              "      <td>Seoul National University</td>\n",
              "      <td>A New Direction of Urban Regeneration: Form-Ba...</td>\n",
              "      <td>Hyejin Song,Jin Baek</td>\n",
              "      <td>2015</td>\n",
              "      <td>https://waset.org/pdf/books/?id=49942&amp;pageNumb...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>7</td>\n",
              "      <td>Abstract</td>\n",
              "      <td>0</td>\n",
              "      <td>Seoul National University</td>\n",
              "      <td>A Review of In-Vehicle Network for Cloud Conne...</td>\n",
              "      <td>Hanbhin Ryu,Ilkwon Yun</td>\n",
              "      <td>2015</td>\n",
              "      <td>https://waset.org/pdf/books/?id=21239&amp;pageNumb...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>8</td>\n",
              "      <td>Periodical</td>\n",
              "      <td>0</td>\n",
              "      <td>Seoul National University</td>\n",
              "      <td>A Review on Technology Forecasting Methods and...</td>\n",
              "      <td>Daekook Kang, Wooseok Jang, Hyeonjeong Lee, an...</td>\n",
              "      <td>2013</td>\n",
              "      <td>https://waset.org/publications/2934/a-review-o...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>9</td>\n",
              "      <td>Abstract</td>\n",
              "      <td>0</td>\n",
              "      <td>Seoul National University</td>\n",
              "      <td>A Strategic Approach for Promoting Renewable E...</td>\n",
              "      <td>Hanee Ryu</td>\n",
              "      <td>2015</td>\n",
              "      <td>https://waset.org/pdf/books/?id=34233&amp;pageNumb...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>10</td>\n",
              "      <td>Abstract</td>\n",
              "      <td>1</td>\n",
              "      <td>Seoul National University</td>\n",
              "      <td>A Study of Mode Choice Model Improvement Consi...</td>\n",
              "      <td>Young-Hyun Seo,Hyunwoo Park,Dong-Kyu Kim,Seung...</td>\n",
              "      <td>2017</td>\n",
              "      <td>https://waset.org/pdf/books/?id=69640&amp;pageNumb...</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "   no          분류  ...  Year                                           Pdf Link\n",
              "0   1  Periodical  ...  2007  https://waset.org/publications/10964/2d-and-3d...\n",
              "1   2    Abstract  ...  2016  https://waset.org/pdf/books/?id=52549&pageNumb...\n",
              "2   3    Abstract  ...  2015  https://waset.org/pdf/books/?id=26766&pageNumb...\n",
              "3   4  Periodical  ...  2015  https://waset.org/publications/10000960/a-fram...\n",
              "4   5    Abstract  ...  2016  https://waset.org/pdf/books/?id=52542&pageNumb...\n",
              "5   6    Abstract  ...  2015  https://waset.org/pdf/books/?id=49942&pageNumb...\n",
              "6   7    Abstract  ...  2015  https://waset.org/pdf/books/?id=21239&pageNumb...\n",
              "7   8  Periodical  ...  2013  https://waset.org/publications/2934/a-review-o...\n",
              "8   9    Abstract  ...  2015  https://waset.org/pdf/books/?id=34233&pageNumb...\n",
              "9  10    Abstract  ...  2017  https://waset.org/pdf/books/?id=69640&pageNumb...\n",
              "\n",
              "[10 rows x 8 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 9
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "InsmEw5SslVF",
        "colab_type": "code",
        "outputId": "345042bb-fca6-41df-b575-70757c1d6ef6",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        }
      },
      "source": [
        "import numpy as np\n",
        "\n",
        "pd.pivot_table(waset_data, index = ['Institution'], columns = None)"
      ],
      "execution_count": 10,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
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              "\n",
              "    .dataframe tbody tr th {\n",
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              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Year</th>\n",
              "      <th>no</th>\n",
              "      <th>중복</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Institution</th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>Academy of Korean Studies</th>\n",
              "      <td>2017.000000</td>\n",
              "      <td>2274.5</td>\n",
              "      <td>0.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Agency for Defense Development</th>\n",
              "      <td>2015.000000</td>\n",
              "      <td>2256.0</td>\n",
              "      <td>0.333333</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Ajou University</th>\n",
              "      <td>2015.212121</td>\n",
              "      <td>1100.0</td>\n",
              "      <td>0.121212</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Andong National University</th>\n",
              "      <td>2016.500000</td>\n",
              "      <td>2249.5</td>\n",
              "      <td>0.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Animal and Plant Quarantine Agency</th>\n",
              "      <td>2015.833333</td>\n",
              "      <td>2112.5</td>\n",
              "      <td>0.166667</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Anyang University</th>\n",
              "      <td>2017.000000</td>\n",
              "      <td>2335.5</td>\n",
              "      <td>0.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Asan Medical Center</th>\n",
              "      <td>2015.000000</td>\n",
              "      <td>2054.5</td>\n",
              "      <td>0.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Bison Medical</th>\n",
              "      <td>2016.000000</td>\n",
              "      <td>2259.5</td>\n",
              "      <td>0.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Buan Water Quality</th>\n",
              "      <td>2016.000000</td>\n",
              "      <td>2391.0</td>\n",
              "      <td>0.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Busan National University</th>\n",
              "      <td>2007.000000</td>\n",
              "      <td>2356.0</td>\n",
              "      <td>0.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Busan University of Foreign Studies</th>\n",
              "      <td>2017.000000</td>\n",
              "      <td>2367.0</td>\n",
              "      <td>0.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Busan Water Authority</th>\n",
              "      <td>2016.000000</td>\n",
              "      <td>2417.0</td>\n",
              "      <td>0.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>CAD/CAM Research Center</th>\n",
              "      <td>2008.000000</td>\n",
              "      <td>2389.0</td>\n",
              "      <td>0.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>CHA university</th>\n",
              "      <td>2017.000000</td>\n",
              "      <td>2326.5</td>\n",
              "      <td>0.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Catholic Kwandong University</th>\n",
              "      <td>2017.000000</td>\n",
              "      <td>2434.0</td>\n",
              "      <td>0.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Catholic Medical Center</th>\n",
              "      <td>2017.000000</td>\n",
              "      <td>2355.0</td>\n",
              "      <td>0.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Catholic University of Daegu</th>\n",
              "      <td>2014.666667</td>\n",
              "      <td>2179.0</td>\n",
              "      <td>0.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Chang Minwoo Structural Consultants</th>\n",
              "      <td>2016.000000</td>\n",
              "      <td>2247.5</td>\n",
              "      <td>0.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Changwon National University</th>\n",
              "      <td>2018.000000</td>\n",
              "      <td>2428.0</td>\n",
              "      <td>0.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Cheongju University</th>\n",
              "      <td>2012.000000</td>\n",
              "      <td>2218.0</td>\n",
              "      <td>0.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Chodang University</th>\n",
              "      <td>2017.500000</td>\n",
              "      <td>2344.5</td>\n",
              "      <td>0.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Chonbuk National University</th>\n",
              "      <td>2015.075949</td>\n",
              "      <td>586.0</td>\n",
              "      <td>0.240506</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Chonnam National University</th>\n",
              "      <td>2014.720000</td>\n",
              "      <td>1512.0</td>\n",
              "      <td>0.120000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Chosun University</th>\n",
              "      <td>2014.885714</td>\n",
              "      <td>1309.0</td>\n",
              "      <td>0.228571</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Chung-Ang University</th>\n",
              "      <td>2015.111111</td>\n",
              "      <td>1569.0</td>\n",
              "      <td>0.222222</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Chungbuk National University</th>\n",
              "      <td>2014.652174</td>\n",
              "      <td>1620.0</td>\n",
              "      <td>0.130435</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Chungju University</th>\n",
              "      <td>2011.000000</td>\n",
              "      <td>2406.0</td>\n",
              "      <td>0.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Chungnam National University</th>\n",
              "      <td>2015.428571</td>\n",
              "      <td>1843.5</td>\n",
              "      <td>0.142857</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>DAUM Engineering Co., Ltd.</th>\n",
              "      <td>2017.200000</td>\n",
              "      <td>2189.0</td>\n",
              "      <td>0.400000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>DGMIF</th>\n",
              "      <td>2017.000000</td>\n",
              "      <td>2276.5</td>\n",
              "      <td>0.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Seoul National University</th>\n",
              "      <td>2015.544643</td>\n",
              "      <td>56.5</td>\n",
              "      <td>0.107143</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Seoul National University of Science and Technology</th>\n",
              "      <td>2015.105263</td>\n",
              "      <td>1815.0</td>\n",
              "      <td>0.315789</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Seoul Theological University</th>\n",
              "      <td>2008.000000</td>\n",
              "      <td>2350.0</td>\n",
              "      <td>0.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Seoul Women's University</th>\n",
              "      <td>2016.000000</td>\n",
              "      <td>2234.0</td>\n",
              "      <td>0.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Silla University</th>\n",
              "      <td>2014.500000</td>\n",
              "      <td>2322.5</td>\n",
              "      <td>0.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Sinjang Elementary School</th>\n",
              "      <td>2016.000000</td>\n",
              "      <td>2411.0</td>\n",
              "      <td>0.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Sogang University</th>\n",
              "      <td>2015.285714</td>\n",
              "      <td>1990.0</td>\n",
              "      <td>0.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Soonchunhyang Univeristy</th>\n",
              "      <td>2014.333333</td>\n",
              "      <td>1856.5</td>\n",
              "      <td>0.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Soongsil University</th>\n",
              "      <td>2012.457143</td>\n",
              "      <td>1066.0</td>\n",
              "      <td>0.114286</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Sun Moon University</th>\n",
              "      <td>2017.000000</td>\n",
              "      <td>2416.0</td>\n",
              "      <td>0.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Sunchon National University</th>\n",
              "      <td>2016.000000</td>\n",
              "      <td>2144.5</td>\n",
              "      <td>0.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Sungkyunkwan University</th>\n",
              "      <td>2014.650000</td>\n",
              "      <td>172.5</td>\n",
              "      <td>0.191667</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Sungshin Women's University</th>\n",
              "      <td>2016.000000</td>\n",
              "      <td>2381.0</td>\n",
              "      <td>0.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>The Catholic Univeristy of Korea</th>\n",
              "      <td>2015.333333</td>\n",
              "      <td>2048.5</td>\n",
              "      <td>0.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Tongmyong University</th>\n",
              "      <td>2014.000000</td>\n",
              "      <td>2362.5</td>\n",
              "      <td>0.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>U2 System Inc.</th>\n",
              "      <td>2017.000000</td>\n",
              "      <td>2423.0</td>\n",
              "      <td>0.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>UNIENS Co. Ltd.</th>\n",
              "      <td>2015.500000</td>\n",
              "      <td>2352.5</td>\n",
              "      <td>0.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Ulsan College</th>\n",
              "      <td>2016.000000</td>\n",
              "      <td>2383.5</td>\n",
              "      <td>0.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Ulsan National Institute of Science and Technology</th>\n",
              "      <td>2014.500000</td>\n",
              "      <td>2284.5</td>\n",
              "      <td>0.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>University of Seoul</th>\n",
              "      <td>2015.689655</td>\n",
              "      <td>1461.0</td>\n",
              "      <td>0.241379</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>University of Suwon</th>\n",
              "      <td>2014.000000</td>\n",
              "      <td>2386.5</td>\n",
              "      <td>0.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>University of Ulsan</th>\n",
              "      <td>2015.120000</td>\n",
              "      <td>1434.0</td>\n",
              "      <td>0.120000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Water Quality Institute, Busan Water Authority</th>\n",
              "      <td>2016.000000</td>\n",
              "      <td>2366.0</td>\n",
              "      <td>0.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Wonkwang University</th>\n",
              "      <td>2015.000000</td>\n",
              "      <td>2196.0</td>\n",
              "      <td>0.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Woongjin Energy Co.,Ltd.</th>\n",
              "      <td>2013.000000</td>\n",
              "      <td>2262.5</td>\n",
              "      <td>0.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Woosong University</th>\n",
              "      <td>2015.000000</td>\n",
              "      <td>2435.0</td>\n",
              "      <td>0.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Yeungnam University</th>\n",
              "      <td>2014.829268</td>\n",
              "      <td>988.0</td>\n",
              "      <td>0.170732</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Yongin Mental Hospital</th>\n",
              "      <td>2015.000000</td>\n",
              "      <td>2388.0</td>\n",
              "      <td>0.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Yonsei University</th>\n",
              "      <td>2014.923077</td>\n",
              "      <td>284.5</td>\n",
              "      <td>0.163462</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>You &amp; Green Korean Medical Clinic</th>\n",
              "      <td>2016.000000</td>\n",
              "      <td>2390.0</td>\n",
              "      <td>0.000000</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>235 rows × 3 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "                                                           Year  ...        중복\n",
              "Institution                                                      ...          \n",
              "Academy of Korean Studies                           2017.000000  ...  0.000000\n",
              "Agency for Defense Development                      2015.000000  ...  0.333333\n",
              "Ajou University                                     2015.212121  ...  0.121212\n",
              "Andong National University                          2016.500000  ...  0.000000\n",
              "Animal and Plant Quarantine Agency                  2015.833333  ...  0.166667\n",
              "Anyang University                                   2017.000000  ...  0.500000\n",
              "Asan Medical Center                                 2015.000000  ...  0.000000\n",
              "Bison Medical                                       2016.000000  ...  0.500000\n",
              "Buan Water Quality                                  2016.000000  ...  0.000000\n",
              "Busan National University                           2007.000000  ...  0.000000\n",
              "Busan University of Foreign Studies                 2017.000000  ...  0.000000\n",
              "Busan Water Authority                               2016.000000  ...  0.000000\n",
              "CAD/CAM Research Center                             2008.000000  ...  0.000000\n",
              "CHA university                                      2017.000000  ...  0.000000\n",
              "Catholic Kwandong University                        2017.000000  ...  0.000000\n",
              "Catholic Medical Center                             2017.000000  ...  0.000000\n",
              "Catholic University of Daegu                        2014.666667  ...  0.000000\n",
              "Chang Minwoo Structural Consultants                 2016.000000  ...  0.000000\n",
              "Changwon National University                        2018.000000  ...  0.000000\n",
              "Cheongju University                                 2012.000000  ...  0.000000\n",
              "Chodang University                                  2017.500000  ...  0.000000\n",
              "Chonbuk National University                         2015.075949  ...  0.240506\n",
              "Chonnam National University                         2014.720000  ...  0.120000\n",
              "Chosun University                                   2014.885714  ...  0.228571\n",
              "Chung-Ang University                                2015.111111  ...  0.222222\n",
              "Chungbuk National University                        2014.652174  ...  0.130435\n",
              "Chungju University                                  2011.000000  ...  0.000000\n",
              "Chungnam National University                        2015.428571  ...  0.142857\n",
              "DAUM Engineering Co., Ltd.                          2017.200000  ...  0.400000\n",
              "DGMIF                                               2017.000000  ...  0.000000\n",
              "...                                                         ...  ...       ...\n",
              "Seoul National University                           2015.544643  ...  0.107143\n",
              "Seoul National University of Science and Techno...  2015.105263  ...  0.315789\n",
              "Seoul Theological University                        2008.000000  ...  0.000000\n",
              "Seoul Women's University                            2016.000000  ...  0.000000\n",
              "Silla University                                    2014.500000  ...  0.000000\n",
              "Sinjang Elementary School                           2016.000000  ...  0.000000\n",
              "Sogang University                                   2015.285714  ...  0.000000\n",
              "Soonchunhyang Univeristy                            2014.333333  ...  0.000000\n",
              "Soongsil University                                 2012.457143  ...  0.114286\n",
              "Sun Moon University                                 2017.000000  ...  0.000000\n",
              "Sunchon National University                         2016.000000  ...  0.000000\n",
              "Sungkyunkwan University                             2014.650000  ...  0.191667\n",
              "Sungshin Women's University                         2016.000000  ...  0.000000\n",
              "The Catholic Univeristy of Korea                    2015.333333  ...  0.000000\n",
              "Tongmyong University                                2014.000000  ...  0.500000\n",
              "U2 System Inc.                                      2017.000000  ...  0.000000\n",
              "UNIENS Co. Ltd.                                     2015.500000  ...  0.500000\n",
              "Ulsan College                                       2016.000000  ...  0.500000\n",
              "Ulsan National Institute of Science and Technology  2014.500000  ...  0.000000\n",
              "University of Seoul                                 2015.689655  ...  0.241379\n",
              "University of Suwon                                 2014.000000  ...  0.500000\n",
              "University of Ulsan                                 2015.120000  ...  0.120000\n",
              "Water Quality Institute, Busan Water Authority      2016.000000  ...  0.000000\n",
              "Wonkwang University                                 2015.000000  ...  0.000000\n",
              "Woongjin Energy Co.,Ltd.                            2013.000000  ...  0.000000\n",
              "Woosong University                                  2015.000000  ...  0.000000\n",
              "Yeungnam University                                 2014.829268  ...  0.170732\n",
              "Yongin Mental Hospital                              2015.000000  ...  0.000000\n",
              "Yonsei University                                   2014.923077  ...  0.163462\n",
              "You & Green Korean Medical Clinic                   2016.000000  ...  0.000000\n",
              "\n",
              "[235 rows x 3 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 10
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "i_jpVyrDyKGG",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "import matplotlib.pyplot as plt"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "1YBpxnrGtBax",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "from matplotlib import rcParams\n",
        "rcParams['font.family'] = 'NanumBarunGothic'"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "BbrsedtwxIMN",
        "colab_type": "code",
        "outputId": "cb9b84da-d587-418c-f3b8-7ac4587c540b",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 629
        }
      },
      "source": [
        "fig, ax = plt.subplots(1,1, figsize = (6,10))\n",
        "waset_data['Institution'].value_counts().head(40).plot.barh(\n",
        "  ax=ax, zorder=3, fc='#444444')\n",
        "ax.invert_yaxis()\n",
        "ax.grid(zorder=1)"
      ],
      "execution_count": 13,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.6/dist-packages/matplotlib/font_manager.py:1241: UserWarning: findfont: Font family ['NanumBarunGothic'] not found. Falling back to DejaVu Sans.\n",
            "  (prop.get_family(), self.defaultFamily[fontext]))\n"
          ],
          "name": "stderr"
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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HTmVjfVx4nkvznP7y//Ne1P8zf4kkkr5BY42ytNTvgV+VyrIjNwD4tu3NgLtY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\n",
            "text/plain": [
              "<Figure size 432x720 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    }
  ]
}