빈도분석.ipynb

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      "source": [
        "# 한글 설치 코드 : 설치 후 런타임 다시 시작작\n",
        "!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": "FmGFm0jRR4Pf",
        "outputId": "dcbda6f7-52b5-464d-d7fb-75b3acf55b67"
      },
      "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 24 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": {
        "colab": {
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        "id": "fO9v2Jcw8fx4",
        "outputId": "5ee65ac6-8abb-4e0a-882a-9c33f06871c7"
      },
      "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",
        "from google.colab import drive\n",
        "\n",
        "drive.mount('/content/drive')\n",
        "\n",
        "# 데이터 불러오기\n",
        "filename = \"/content/drive/MyDrive/[03팀] 김가경, 김수민, 민채원/code/Gwangjingu_parking_total.csv\"\n"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# 데이터 불러오기\n",
        "df = pd.read_csv(filename, encoding='cp949')\n",
        "df"
      ],
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        "colab": {
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          "height": 658
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        "id": "_2HgLOg98obi",
        "outputId": "3ac7cc2d-6f7e-45f4-bf8b-e70f8404b9d1"
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      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
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              "                       단속일시   단속원금  단속동               단속장소           위반내용  \\\n",
              "0          2015-01-01 06:44  40000  화양동              119-4          주정차금지   \n",
              "1          2015-01-01 07:01  40000  화양동          건대입구1번출구앞    32조내지 34조위반   \n",
              "2          2015-01-01 07:24  50000  구의동        동서울터미널 주차장앞    32조내지 34조위반   \n",
              "3          2015-01-01 08:00  40000  화양동          건대입구1번출구앞    32조내지 34조위반   \n",
              "4          2015-01-01 08:15  40000  화양동          건대입구1번출구앞    32조내지 34조위반   \n",
              "...                     ...    ...  ...                ...            ...   \n",
              "490926  2023-02-28 20:43:00  32000  군자동               군자빌딩  주정차금지(황색실선)구역   \n",
              "490927  2023-02-28 21:23:00   8000  자양동  서울 광진구 자양동 659-32             보도   \n",
              "490928  2023-02-28 21:38:00  32000  화양동     서울 광진구 능동로 154             보도   \n",
              "490929  2023-02-28 22:36:00  32000  자양동   서울 광진구 자양동 12-10            교차로   \n",
              "490930  2023-02-28 23:19:00  32000  자양동              02-02           횡단보도   \n",
              "\n",
              "        견인지시     데이터기준일자  \n",
              "0       견인처리  2022-06-10  \n",
              "1        미견인  2022-06-10  \n",
              "2        미견인  2022-06-10  \n",
              "3        미견인  2022-06-10  \n",
              "4        미견인  2022-06-10  \n",
              "...      ...         ...  \n",
              "490926   미견인         NaN  \n",
              "490927   미견인         NaN  \n",
              "490928   미견인         NaN  \n",
              "490929   미견인         NaN  \n",
              "490930   미견인         NaN  \n",
              "\n",
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              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>단속일시</th>\n",
              "      <th>단속원금</th>\n",
              "      <th>단속동</th>\n",
              "      <th>단속장소</th>\n",
              "      <th>위반내용</th>\n",
              "      <th>견인지시</th>\n",
              "      <th>데이터기준일자</th>\n",
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              "      <th>0</th>\n",
              "      <td>2015-01-01 06:44</td>\n",
              "      <td>40000</td>\n",
              "      <td>화양동</td>\n",
              "      <td>119-4</td>\n",
              "      <td>주정차금지</td>\n",
              "      <td>견인처리</td>\n",
              "      <td>2022-06-10</td>\n",
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              "      <th>1</th>\n",
              "      <td>2015-01-01 07:01</td>\n",
              "      <td>40000</td>\n",
              "      <td>화양동</td>\n",
              "      <td>건대입구1번출구앞</td>\n",
              "      <td>32조내지 34조위반</td>\n",
              "      <td>미견인</td>\n",
              "      <td>2022-06-10</td>\n",
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              "      <th>2</th>\n",
              "      <td>2015-01-01 07:24</td>\n",
              "      <td>50000</td>\n",
              "      <td>구의동</td>\n",
              "      <td>동서울터미널 주차장앞</td>\n",
              "      <td>32조내지 34조위반</td>\n",
              "      <td>미견인</td>\n",
              "      <td>2022-06-10</td>\n",
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              "      <th>3</th>\n",
              "      <td>2015-01-01 08:00</td>\n",
              "      <td>40000</td>\n",
              "      <td>화양동</td>\n",
              "      <td>건대입구1번출구앞</td>\n",
              "      <td>32조내지 34조위반</td>\n",
              "      <td>미견인</td>\n",
              "      <td>2022-06-10</td>\n",
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              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>2015-01-01 08:15</td>\n",
              "      <td>40000</td>\n",
              "      <td>화양동</td>\n",
              "      <td>건대입구1번출구앞</td>\n",
              "      <td>32조내지 34조위반</td>\n",
              "      <td>미견인</td>\n",
              "      <td>2022-06-10</td>\n",
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              "      <th>490926</th>\n",
              "      <td>2023-02-28 20:43:00</td>\n",
              "      <td>32000</td>\n",
              "      <td>군자동</td>\n",
              "      <td>군자빌딩</td>\n",
              "      <td>주정차금지(황색실선)구역</td>\n",
              "      <td>미견인</td>\n",
              "      <td>NaN</td>\n",
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              "    <tr>\n",
              "      <th>490927</th>\n",
              "      <td>2023-02-28 21:23:00</td>\n",
              "      <td>8000</td>\n",
              "      <td>자양동</td>\n",
              "      <td>서울 광진구 자양동 659-32</td>\n",
              "      <td>보도</td>\n",
              "      <td>미견인</td>\n",
              "      <td>NaN</td>\n",
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              "    <tr>\n",
              "      <th>490928</th>\n",
              "      <td>2023-02-28 21:38:00</td>\n",
              "      <td>32000</td>\n",
              "      <td>화양동</td>\n",
              "      <td>서울 광진구 능동로 154</td>\n",
              "      <td>보도</td>\n",
              "      <td>미견인</td>\n",
              "      <td>NaN</td>\n",
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              "    <tr>\n",
              "      <th>490929</th>\n",
              "      <td>2023-02-28 22:36:00</td>\n",
              "      <td>32000</td>\n",
              "      <td>자양동</td>\n",
              "      <td>서울 광진구 자양동 12-10</td>\n",
              "      <td>교차로</td>\n",
              "      <td>미견인</td>\n",
              "      <td>NaN</td>\n",
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              "      <th>490930</th>\n",
              "      <td>2023-02-28 23:19:00</td>\n",
              "      <td>32000</td>\n",
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              "      <td>02-02</td>\n",
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              "      <td>미견인</td>\n",
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          },
          "metadata": {},
          "execution_count": 2
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      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "위반내용 빈도 분석 및 시각화"
      ],
      "metadata": {
        "id": "Y3pznCIGeptx"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# 위반내용 빈도 분석\n",
        "violation_count = df['위반내용'].value_counts()\n",
        "#print(violation_count)\n",
        "violation_count.shape\n",
        "\n",
        "# 위반내용 빈도 시각화(막대그래프)\n",
        "import matplotlib.pyplot as plt # 맷플롯립 import 하기\n",
        "plt.rcParams['font.family'] = 'NanumBarunGothic'\n",
        "violation_count.plot(kind='bar')\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 564
        },
        "id": "jRAoSj1A8zVO",
        "outputId": "bebbd13b-8bc8-4e61-9e6a-99825e02a1ed"
      },
      "execution_count": null,
      "outputs": [
        {
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          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
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            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "violation_count = df['위반내용'].value_counts().nlargest(10) # 상위 10개 데이터만 추출\n",
        "ax = violation_count.plot(kind='bar')\n",
        "\n",
        "# x축 라벨 위치 조정 및 회전\n",
        "ax.set_xticklabels(violation_count.index, rotation=30, ha='right')\n",
        "\n",
        "# 라벨 간격 조정\n",
        "plt.subplots_adjust(bottom=0.2)\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 459
        },
        "id": "MaD9SqmRxMJJ",
        "outputId": "c2933361-f247-47ef-fdef-fb00c5951521"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# 위반내용 빈도 시각화(파이차트)\n",
        "import matplotlib.pyplot as plt # 맷플롯립 import 하기\n",
        "plt.rcParams['font.family'] = 'NanumBarunGothic'\n",
        "violation_count.plot(kind='pie')\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 406
        },
        "id": "e7W-v-KdevvJ",
        "outputId": "16c3da8e-35d1-4130-dcd1-94395037f97c"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "plt.pie(violation_count, labels=violation_count.index, autopct='%.1f%%', textprops={'fontsize': 12})\n",
        "plt.axis('equal')\n",
        "plt.title('위반내용 비율', fontsize=16)\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 440
        },
        "id": "QYyCvHgbVR5N",
        "outputId": "2074b64c-d708-4e35-ac43-c1348fdc428f"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# 각 위반내용 빈도수\n",
        "print(violation_count)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "oYPR9_JkPX1L",
        "outputId": "60426e7c-0a85-4620-e973-2ee25de18ed2"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "주차금지(황색점선)구역     122562\n",
            "주정차금지(황색실선)구역     52743\n",
            "주정차위반             48225\n",
            "교통소통장애            46375\n",
            "32조내지 34조위반       45891\n",
            "보도                42775\n",
            "주정차금지             27807\n",
            "횡단보도              22686\n",
            "주차방법위반            16810\n",
            "버스정류소             11541\n",
            "Name: 위반내용, dtype: int64\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "print(df['위반내용'].head(30))"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "1gjsYJHf83n4",
        "outputId": "441f4e16-1083-4d22-f177-d8c05a42ddee"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "0           주정차금지\n",
            "1     32조내지 34조위반\n",
            "2     32조내지 34조위반\n",
            "3     32조내지 34조위반\n",
            "4     32조내지 34조위반\n",
            "5     32조내지 34조위반\n",
            "6     32조내지 34조위반\n",
            "7     32조내지 34조위반\n",
            "8     32조내지 34조위반\n",
            "9     32조내지 34조위반\n",
            "10    32조내지 34조위반\n",
            "11    32조내지 34조위반\n",
            "12    32조내지 34조위반\n",
            "13    32조내지 34조위반\n",
            "14    32조내지 34조위반\n",
            "15          주정차금지\n",
            "16    32조내지 34조위반\n",
            "17          주정차위반\n",
            "18    32조내지 34조위반\n",
            "19    32조내지 34조위반\n",
            "20    32조내지 34조위반\n",
            "21    32조내지 34조위반\n",
            "22    32조내지 34조위반\n",
            "23    32조내지 34조위반\n",
            "24          주정차위반\n",
            "25          주정차위반\n",
            "26          주정차위반\n",
            "27    32조내지 34조위반\n",
            "28    32조내지 34조위반\n",
            "29    32조내지 34조위반\n",
            "Name: 위반내용, dtype: object\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# 위반내용 중복 제거값\n",
        "unique_violations = df['위반내용'].drop_duplicates()\n",
        "print(unique_violations)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "X6upopbk9CyV",
        "outputId": "9c5a618f-13b4-4b30-a430-ba3363269345"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "0                 주정차금지\n",
            "1           32조내지 34조위반\n",
            "17                주정차위반\n",
            "106              안전지대사방\n",
            "114                보도주차\n",
            "123                횡단보도\n",
            "370                 모퉁이\n",
            "497              주차방법위반\n",
            "557               버스정류장\n",
            "868                 보차도\n",
            "970           소화전,소방용기기\n",
            "978            건널목,횡단보도\n",
            "1036               소통장해\n",
            "1037          황색실선,황색점선\n",
            "1091            교차로,모퉁이\n",
            "1320         도로교통법 제32조\n",
            "1954               보도막음\n",
            "3656                통학로\n",
            "5096               이중주차\n",
            "5800            어린이보호구역\n",
            "7881                중앙선\n",
            "10479        도로교통법 제34조\n",
            "12308               라인밖\n",
            "12472              민원신고\n",
            "16637               교차로\n",
            "22402              공사구역\n",
            "24690                차도\n",
            "50341        도로교통법 제33조\n",
            "56189             32조위반\n",
            "66437                기타\n",
            "71680              유턴지역\n",
            "84088               소화전\n",
            "97212              교통장애\n",
            "123356          주정차금지구역\n",
            "146266    주정차금지(황색실선)구역\n",
            "146269               보도\n",
            "146272             일방통행\n",
            "146273             안전지대\n",
            "146286            버스정류소\n",
            "146292     주차금지(황색점선)구역\n",
            "146393           도로 모퉁이\n",
            "147089            화재경보기\n",
            "148067           교통소통장애\n",
            "149232              건널목\n",
            "149828               터널\n",
            "150630           이면도로주차\n",
            "150664        주차구획선외 주차\n",
            "151456        소방기계 비치장소\n",
            "154103           도로공사구역\n",
            "181244               다리\n",
            "242609            거주자우선\n",
            "268868    소방차(긴급차량)통행장애\n",
            "305001      교차로,횡단보도,보도\n",
            "366317             특별구역\n",
            "Name: 위반내용, dtype: object\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "위반내용과 단속동 빈도분석 => 각 단속동에서 어떤 위반내용이 많이 나왔는지 파악"
      ],
      "metadata": {
        "id": "L9UIiejzfbh-"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "### 단속동 전처리 전\n",
        "import pandas as pd\n",
        "\n",
        "# '단속동'과 '위반내용' 변수 선택\n",
        "df_subset = df[['단속동', '위반내용']]\n",
        "\n",
        "# 결측치 제거\n",
        "df_subset = df_subset.dropna()\n",
        "\n",
        "# 각 단속동에서 어떤 위반내용이 많이 나왔는지 빈도분석 수행\n",
        "violation_counts = df_subset.groupby(['단속동', '위반내용']).size().reset_index(name='counts')\n",
        "\n",
        "# 결과 출력\n",
        "print(violation_counts)\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "BHcCUUJ7fiPN",
        "outputId": "09b3de8f-ebef-4d18-d501-08afbccb806b"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "       단속동           위반내용  counts\n",
            "0     강변북로         교통소통장애      11\n",
            "1     강변북로         도로 모퉁이       1\n",
            "2     강변북로             보도       2\n",
            "3     강변북로            소화전       4\n",
            "4     강변북로  주정차금지(황색실선)구역       1\n",
            "...    ...            ...     ...\n",
            "2616   화양동             터널       5\n",
            "2617   화양동            통학로       2\n",
            "2618   화양동           특별구역      22\n",
            "2619   화양동      황색실선,황색점선       9\n",
            "2620   화양동           횡단보도    2766\n",
            "\n",
            "[2621 rows x 3 columns]\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "### 단속동 전처리 ###\n",
        "\n",
        "# 단속동 컬럼에서 공백 제거\n",
        "df['단속동'] = df['단속동'].str.replace(' ', '')\n",
        "\n",
        "unique_dong = df['단속동'].unique()\n",
        "print(unique_dong)\n",
        "print(len(unique_dong))\n",
        "\n",
        "# 단속장소와 위반내용 컬럼에서 공백 제거\n",
        "df['단속동'] = df['단속동'].str.replace(' ', '')\n",
        "\n",
        "import re\n",
        "# 정규 표현식 : 동일로26길 -> 동일로\n",
        "pattern = r'(.로).+길'\n",
        "# 주소 변경\n",
        "for i in range (len(df['단속동'])):\n",
        "  df['단속동'][i] = re.sub(pattern, r'\\1',df['단속동'][i])\n",
        "\n",
        "print(df)\n",
        "\n",
        "# 단속동 count == 1 -> 35개\n",
        "location_count = df['단속동'].value_counts()\n",
        "countis1 = location_count[location_count==1]\n",
        "#print(countis1)\n",
        "countis1.shape\n",
        "\n",
        "# location_count가 1인 행 제거\n",
        "for index, value in countis1.items():\n",
        "    df = df.drop(df[df['단속동'] == index].index)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "JlTT0UE2gOZ8",
        "outputId": "b073e742-be6d-4e42-b2af-1a3758c94d97"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "['화양동' '구의동' '능동' '중곡동' '자양동' '군자동' '광장동' '노유동' '모진동' '자양번영로2길' '뚝섬로46길'\n",
            " '자양번영로' '자양로' '아차산로' '동일로' '군자로' '능동로31길' '뚝섬로64길' '뚝섬로41길' '면목로' '천호대로'\n",
            " '광나루로' '천호대로118길' '뚝섬로34길' '자양로33길' '능동로1길' '능동로' '천호대로137길' '용마산로'\n",
            " '영화사로' '뚝섬로32길' '용마산로8나길' '뚝섬로' '동일로18길' '광나루로15길' '동일로4길' '긴고랑로'\n",
            " '아차산로76길' '자양로43길' '능동로24길' '천호대로116길' '군자로15길' '동일로52길' '군자로10길' '구의강변로'\n",
            " '광장로' '긴고랑로19길' '능동로4길' '뚝섬로58길' '광나루로30길' '자양로39길' '천호대로130길' '자양로4길'\n",
            " '영화사로16길' '용마산로22길' '능동로19길' '아차산로69길' '자양로13길' '능동로16길' '자양로44길'\n",
            " '광나루로56길' '광나루로44길' '아차산로39길' '뚝섬로66길' '천호대로131길' '자양로30길' '아차산로33길'\n",
            " '구의로' '뚝섬로23길' '군자로9길' '동일로24길' '군자로2길' '아차산로60길' '아차산로75길' '긴고랑로7길'\n",
            " '천호대로136길' '능동로13길' '아차산로49길' '천호대로111길' '자양로50길' '자양번영로4길' '동일로76길'\n",
            " '능동로59길' '긴고랑로40길' '자양강변길' '자양로40길' '아차산로27길' '자양로53길' '워커힐로' '영화사로20길'\n",
            " '광나루로52길' '광장로1다길' '자양번영로1길' '구의로4길' '뚝섬로56길' '능동로11길' '자양로23가길' '자양로21길'\n",
            " '답십리로86길' '동일로30길' '능동로3길' '아차산로23길' '긴고랑로10길' '뚝섬로24길' '자양번영로11길'\n",
            " '구의강변로1길' '광장로7길' '광나루로54길' '답십리로' '광나루로30나길' '광장로1길' '능동로36길' '아차산로73길'\n",
            " '동일로22길' '아차산로21길' '영화사로11길' '강변역로' '아차산로28길' '뚝섬로40길' '군자로12길' '동일로28길'\n",
            " '자양로5길' '능동로26길' '광나루로24길' '동일로70길' '아차산로70길' '뚝섬로52길' '뚝섬로36길'\n",
            " '천호대로141길' '능동로32길' '강변역로4길' '아차산로59길' '용마산로33길' '능동로40길' '영화사로3길'\n",
            " '동일로20길' '능동로38길' '자양로19길' '천호대로119길' '자양로37길' '뚝섬로22길' '아차산로66길' '시민신고웹'\n",
            " '천호대로104나길' '뚝섬로37길' '자양로13가길' '능동로3다길' '능동로48길' '자양로7길' '자양로18길' '능동로6길'\n",
            " '자양로9길' '아차산로76가길' '아차산로78길' '아차산로34길' '긴고랑로13길' '자양로52길' '용마산로25길'\n",
            " '자양로4나길' '용마산로24길' '용마산로28길' '자양로3가길' '아차산로78가길' '영화사로13길' '천호대로115길'\n",
            " '능동로17길' '광나루로18길' '천호대로127길' '자양로51길' '뚝섬로33길' '자양로3길' '뚝섬로26길'\n",
            " '천호대로129길' '뚝섬로52라길' '능동로34길' '긴고랑로22길' '용마산로30길' '자양로26길' '자양번영로6길'\n",
            " '긴고랑로16길' '면목로16길' '동일로26길' '용마산로6길' '긴고랑로46가길' '천호대로114길' '천호대로112길'\n",
            " '천호대로107길' '천호대로104길' '뚝섬로45길' '능동로27가길' '군자로5길' '능동로29가길' '광나루로30가길'\n",
            " '아차산로58길' '영화사로9길' '구의강변로3가길' '용마산로4길' '천호대로102길' '자양로54길' '뚝섬로52마길'\n",
            " '동일로56라길' '아차산로30길' '답십리로84길' '아차산로36길' '구의로6길' '긴고랑로30길' '천호대로134길'\n",
            " '아차산로44길' '뚝섬로48길' '능동로50길' '용마산로2길' '광장로5길' '강변북로' '면목로13길' '뚝섬로54길'\n",
            " '동일로48길' '면목로5길' '자양번영로7길' '능동로10길' '용마산로8가길' '천호대로121길' '자양로2길' '자양로47길'\n",
            " '광나루로46길' '아차산로45길' '용마산로7길' '용마산로1길' '긴고랑로33길' '뚝섬로57가길' '아차산로63길'\n",
            " '자양로6길' '구천면로' '동일로56나길' '뚝섬로50길' '긴고랑로4길' '동일로76나길' '뚝섬로52다길' '천호대로113길'\n",
            " '자양로45길' '뚝섬로30길' '뚝섬로56가길' '아차산로25길' '아차산로41가길' '광나루로30다길' '광나루로12길'\n",
            " '자양로41길' '천호대로143길' '답십리로82길' '용마산로5길' '광나루로37길' '영화사로9가길' '뚝섬로35길'\n",
            " '천호대로124길' '자양로44나길' '능동로51길' '긴고랑로44길' '동일로66길' '뚝섬로31길' '긴고랑로1길'\n",
            " '군자로6길' '군자로7길' '아차산로41길' '능동로5길' '뚝섬로23가길' '천호대로123길' '용마산로3길'\n",
            " '천호대로117길' '긴고랑로6길' '용마산로28다길' '영화사로7길' '아차산로51길' '광장로1가길' '천호대로110길'\n",
            " '동일로72길' '용마산로12길' '동일로10다길' '동일로76가길' '능동로23길' '능동로9길' '구의강변로3길' '능동로7길'\n",
            " '용마산로32길' '구의강변로5길' '동일로60길' '동일로12길' '뚝섬로62길' '능동로30길' '자양번영로5길'\n",
            " '아차산로22길' '영화사로3가길' '자양로11길' '능동로35길' '능동로3마길' '구의로14길' '광나루로17길'\n",
            " '아차산로44가길' '광나루로14길' '용마산로8길' '천호대로101길' '능동로21길' '능동로42길' '뚝섬로49길'\n",
            " '자양번영로3길' '뚝섬로27길' '아차산로40길' '군자로3길' '답십리로78길' '용마산로16길' '동일로2길' '광장로1나길'\n",
            " '영화사로16가길' '자양로42길' '천호대로138길' '뚝섬로44길' '긴고랑로46길' '면목로17길' '동일로4가길'\n",
            " '뚝섬로51길' '자양로32길' '능동로49길' '아차산로55길' '자양번영로3가길' '뚝섬로36가길' '광나루로35길'\n",
            " '용마산로20길' '용마산로14길' '면목로12길' '아차산로26길' '성내천로23길' '자양로23길' '아차산로53길'\n",
            " '아차산로65길' '광나루로16길' '뚝섬로59길' '자양로22길' '광나루로38길' '긴고랑로36길' '동일로16길'\n",
            " '아차산로31길' '구의강변로7길' '광나루로19길' '천호대로125길' '천호대로120길' '동일로80길' '아차산로61길'\n",
            " '능동로27길' '자양로28가길' '동일로68길' '능동로53길' '뚝섬로57길' '광나루로43길' '뚝섬로47길'\n",
            " '뚝섬로32가길' '광나루로20가길' '자양로35길' '천호대로122길' '뚝섬로52가길' '긴고랑로8길' '광나루로36길'\n",
            " '동일로50길' '능동로41길' '아차산로42길' '아차산로29길' '능동로27나길' '면목로7길' '동일로34길' '구의로1길'\n",
            " '광나루로40길' '용마산로18길' '동일로56가길' '자양번영로13길' '광나루로20길' '광장로3길' '동일로56길'\n",
            " '긴고랑로39길' '뚝섬로43길' '뚝섬로55길' '구의로12길' '능동로3가길' '뚝섬로31가길' '아차산로24길'\n",
            " '자양번영로8길' '동일로18가길' '긴고랑로26길' '긴고랑로29길' '능동로48가길' '동일로18나길' '긴고랑로46나길'\n",
            " '긴고랑로47길' '긴고랑로20길' '동일로54길' '자양로15길' '능동로37길' '자양로44가길' '영화사로16나길'\n",
            " '아차산로58가길' '광나루로50길' '군자로17길' '광나루로39길' '자양번영로12길' '자양로48길' '뚝섬로22가길'\n",
            " '긴고랑로31길' '능동로29길' '자양로25길' '아차산로32길' '군자로4길' '천호대로140길' '자양번영로3다길'\n",
            " '자양로38길' '자양로28길' '자양로49길' '긴고랑로14길' '군자로13길' '긴고랑로12길' '답십리로76길'\n",
            " '자양로50가길' '아차산로57길' '능동로39길' '긴고랑로5길' '자양로46길' '답십리로88길' '뚝섬로29길'\n",
            " '긴고랑로17길' '천호대로109길' '뚝섬로67가길' '답십리로80길' '뚝섬로52나길' '자양로36길' '자양로13다길'\n",
            " '뚝섬로30가길' '긴고랑로45길' '긴고랑로38길' '용마산로10길' '구의로16길' '자양로23나길' '동일로62길'\n",
            " '아차산로46길' '영화사로3나길' '긴고랑로9길' '능동로25길' '광장로9길' '광나루로26길' '자양로16길' '동일로78길'\n",
            " '긴고랑로11길' '동일로40길' '동일로6길' '뚝섬로67길' '자양로13나길' '동일로8길' '능동로55길' '긴고랑로15길'\n",
            " '자양번영로3나길' '동일로58길' '긴고랑로2길' '면목로1길' '용마산로21길' '동일로38길' '아차산로46가길'\n",
            " '용마산로29길' '동일로74길' '구의로3길' '광나루로22나길' '강변역로2길' '능동로15길' '용마산로28가길'\n",
            " '동일로56다길' '용마산로27길' '능동로47길' '자양번영로10길' '광나루로22길' '영화사로5길' '뚝섬로25가길'\n",
            " '광나루로13길' '능동로44길' '아차산로39가길' '긴고랑로42길' '면목로11길' '동일로10길' '동일로14길'\n",
            " '뚝섬로58가길' '용마산로8마길' '면목로9길' '용마산로34길' '동일로64길' '능동로43길' '광나루로48길'\n",
            " '용마산로8다길' '천호대로132길']\n",
            "490\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "<ipython-input-12-7bfd1a9b5991>:18: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  df['단속동'][i] = re.sub(pattern, r'\\1',df['단속동'][i])\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                       단속일시   단속원금  단속동               단속장소           위반내용  \\\n",
            "0          2015-01-01 06:44  40000  화양동              119-4          주정차금지   \n",
            "1          2015-01-01 07:01  40000  화양동          건대입구1번출구앞    32조내지 34조위반   \n",
            "2          2015-01-01 07:24  50000  구의동        동서울터미널 주차장앞    32조내지 34조위반   \n",
            "3          2015-01-01 08:00  40000  화양동          건대입구1번출구앞    32조내지 34조위반   \n",
            "4          2015-01-01 08:15  40000  화양동          건대입구1번출구앞    32조내지 34조위반   \n",
            "...                     ...    ...  ...                ...            ...   \n",
            "490926  2023-02-28 20:43:00  32000  군자동               군자빌딩  주정차금지(황색실선)구역   \n",
            "490927  2023-02-28 21:23:00   8000  자양동  서울 광진구 자양동 659-32             보도   \n",
            "490928  2023-02-28 21:38:00  32000  화양동     서울 광진구 능동로 154             보도   \n",
            "490929  2023-02-28 22:36:00  32000  자양동   서울 광진구 자양동 12-10            교차로   \n",
            "490930  2023-02-28 23:19:00  32000  자양동              02-02           횡단보도   \n",
            "\n",
            "        견인지시     데이터기준일자  \n",
            "0       견인처리  2022-06-10  \n",
            "1        미견인  2022-06-10  \n",
            "2        미견인  2022-06-10  \n",
            "3        미견인  2022-06-10  \n",
            "4        미견인  2022-06-10  \n",
            "...      ...         ...  \n",
            "490926   미견인         NaN  \n",
            "490927   미견인         NaN  \n",
            "490928   미견인         NaN  \n",
            "490929   미견인         NaN  \n",
            "490930   미견인         NaN  \n",
            "\n",
            "[490931 rows x 7 columns]\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "print(location_count.shape)"
      ],
      "metadata": {
        "id": "tqIf_rzCialG",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "326a4a9b-89d3-42fc-9e10-fdbb8f9c9bb9"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "(33,)\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "단속동과 위반내용 빈도분석 => 전처리 후!!"
      ],
      "metadata": {
        "id": "_7HMR1A3hsU3"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# '단속동'과 '위반내용' 변수 선택\n",
        "df_subset = df[['단속동', '위반내용']]\n",
        "\n",
        "# 결측치 제거\n",
        "df_subset = df_subset.dropna()\n",
        "\n",
        "# 각 단속동에서 어떤 위반내용이 많이 나왔는지 빈도분석 수행\n",
        "violation_counts = df_subset.groupby(['단속동', '위반내용']).size().reset_index(name='counts')\n",
        "\n",
        "# 결과 출력\n",
        "print(violation_counts)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "EEvFFhXKg3AS",
        "outputId": "2a0ee0c6-f7d2-47a3-b756-9e28c8f2ca8d"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "      단속동           위반내용  counts\n",
            "0    강변북로         교통소통장애      11\n",
            "1    강변북로         도로 모퉁이       1\n",
            "2    강변북로             보도       2\n",
            "3    강변북로            소화전       4\n",
            "4    강변북로  주정차금지(황색실선)구역       1\n",
            "..    ...            ...     ...\n",
            "648   화양동             터널       5\n",
            "649   화양동            통학로       2\n",
            "650   화양동           특별구역      22\n",
            "651   화양동      황색실선,황색점선       9\n",
            "652   화양동           횡단보도    2766\n",
            "\n",
            "[653 rows x 3 columns]\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "시각화 : 막대그래프"
      ],
      "metadata": {
        "id": "fxGop9Ayh3ZT"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "import pandas as pd\n",
        "import matplotlib.pyplot as plt\n",
        "\n",
        "# 단속동별 위반내용 빈도 구하기\n",
        "freq = df.groupby(['단속동', '위반내용']).size().reset_index(name='빈도')\n",
        "\n",
        "# 막대그래프 그리기\n",
        "fig, ax = plt.subplots(figsize=(10, 6))\n",
        "freq.plot(kind='bar', x='단속동', y='빈도', ax=ax)\n",
        "ax.set_xlabel('단속동')\n",
        "ax.set_ylabel('빈도')\n",
        "ax.set_title('단속동별 위반내용 빈도')\n",
        "plt.show()\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 582
        },
        "id": "WNuYYNZajQhF",
        "outputId": "25c6d90e-620b-4f4c-ce63-3c3a3a755690"
      },
      "execution_count": null,
      "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": [
        "print(freq['빈도'])"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "iQchNnRinDnX",
        "outputId": "3dcfe04c-9af2-4132-c3a5-d18b30547432"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "0        11\n",
            "1         1\n",
            "2         2\n",
            "3         4\n",
            "4         1\n",
            "       ... \n",
            "648       5\n",
            "649       2\n",
            "650      22\n",
            "651       9\n",
            "652    2766\n",
            "Name: 빈도, Length: 653, dtype: int64\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "freq_sorted = freq.sort_values('빈도', ascending=False)\n",
        "print(freq_sorted)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "QM8m4ZyHoOad",
        "outputId": "e9a18a40-fb83-49ce-ebe5-89b0c1c442b2"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "      단속동           위반내용     빈도\n",
            "583   중곡동   주차금지(황색점선)구역  31932\n",
            "147   구의동   주차금지(황색점선)구역  27238\n",
            "500   자양동   주차금지(황색점선)구역  24544\n",
            "143   구의동  주정차금지(황색실선)구역  20614\n",
            "109   구의동    32조내지 34조위반  15927\n",
            "..    ...            ...    ...\n",
            "474   자양동     도로교통법 제33조      1\n",
            "558   중곡동            라인밖      1\n",
            "557   중곡동     도로교통법 제34조      1\n",
            "555   중곡동         도로공사구역      1\n",
            "403  영화사로            교차로      1\n",
            "\n",
            "[653 rows x 3 columns]\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "print(freq_sorted.head(50))"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "gjuxk-33prnj",
        "outputId": "b890aa62-f925-4102-d016-8634d9f3121e"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "      단속동           위반내용     빈도\n",
            "583   중곡동   주차금지(황색점선)구역  31932\n",
            "147   구의동   주차금지(황색점선)구역  27238\n",
            "500   자양동   주차금지(황색점선)구역  24544\n",
            "143   구의동  주정차금지(황색실선)구역  20614\n",
            "109   구의동    32조내지 34조위반  15927\n",
            "67    광장동          주정차위반  11000\n",
            "69    광장동   주차금지(황색점선)구역  10979\n",
            "563   중곡동             보도  10956\n",
            "498   자양동          주정차위반  10713\n",
            "610   화양동    32조내지 34조위반   9551\n",
            "115   구의동         교통소통장애   9338\n",
            "496   자양동          주정차금지   9210\n",
            "547   중곡동    32조내지 34조위반   9130\n",
            "145   구의동          주정차위반   8892\n",
            "469   자양동         교통소통장애   8823\n",
            "212   군자동   주차금지(황색점선)구역   7687\n",
            "645   화양동   주차금지(황색점선)구역   7656\n",
            "480   자양동             보도   7498\n",
            "463   자양동    32조내지 34조위반   7428\n",
            "642   화양동  주정차금지(황색실선)구역   7418\n",
            "497   자양동  주정차금지(황색실선)구역   6916\n",
            "509   자양동           횡단보도   6900\n",
            "643   화양동          주정차위반   6683\n",
            "120   구의동     도로교통법 제32조   6634\n",
            "210   군자동          주정차위반   6392\n",
            "127   구의동             보도   5593\n",
            "142   구의동          주정차금지   5149\n",
            "192   군자동             보도   5019\n",
            "42    광장동         교통소통장애   4853\n",
            "277    능동  주정차금지(황색실선)구역   4680\n",
            "552   중곡동         교통소통장애   4456\n",
            "561   중곡동          버스정류소   3902\n",
            "615   화양동         교통소통장애   3901\n",
            "579   중곡동  주정차금지(황색실선)구역   3810\n",
            "641   화양동          주정차금지   3789\n",
            "156   구의동           횡단보도   3698\n",
            "136   구의동           안전지대   3562\n",
            "125   구의동          버스정류소   3218\n",
            "578   중곡동          주정차금지   2992\n",
            "589   중곡동           횡단보도   2990\n",
            "267    능동             보도   2928\n",
            "65    광장동          주정차금지   2852\n",
            "208   군자동  주정차금지(황색실선)구역   2823\n",
            "207   군자동          주정차금지   2809\n",
            "281    능동   주차금지(황색점선)구역   2782\n",
            "652   화양동           횡단보도   2766\n",
            "581   중곡동          주정차위반   2747\n",
            "66    광장동  주정차금지(황색실선)구역   2536\n",
            "398  아차산로         주차방법위반   2333\n",
            "397  아차산로   주차금지(황색점선)구역   2323\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "freq_sorted = freq.sort_values('빈도', ascending=False)\n",
        "print(freq_sorted['빈도'])"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "lYYcNFtVoFXK",
        "outputId": "90583fe9-be3e-4f32-ad31-adf6edd30f30"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "583    31932\n",
            "147    27238\n",
            "500    24544\n",
            "143    20614\n",
            "109    15927\n",
            "       ...  \n",
            "474        1\n",
            "558        1\n",
            "557        1\n",
            "555        1\n",
            "403        1\n",
            "Name: 빈도, Length: 653, dtype: int64\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "단속동과 위반내용 빈도분석 결과(각 단속동별 위반내용 빈도 분석)\n",
        "\n",
        "중곡동에서 \"주차금지(황색점선)구역\"을 위반한 빈도수가 31932개로 제일 많았고, 다음은 구의동에서 같은 위반내용으로 많았음"
      ],
      "metadata": {
        "id": "xZNSXj9_oTBA"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "시각화 : 파이차트"
      ],
      "metadata": {
        "id": "I6LNhp7FpHOG"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "import matplotlib.pyplot as plt\n",
        "\n",
        "# 데이터프레임에서 단속동별 빈도를 구합니다.\n",
        "freq = df.groupby('단속동')['위반내용'].count()\n",
        "\n",
        "# 파이차트를 그립니다.\n",
        "plt.pie(freq, labels=freq.index, autopct='%.1f%%', startangle=90)\n",
        "plt.axis('equal')\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 420
        },
        "id": "AATbR8DopJE1",
        "outputId": "aded2923-8a86-4cad-a91e-e7b7021e6a64"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import matplotlib.pyplot as plt\n",
        "\n",
        "# 데이터프레임에서 단속동별 빈도를 구합니다.\n",
        "freq = df.groupby('단속동')['위반내용'].count()\n",
        "\n",
        "# 빈도가 큰 순서대로 정렬하고, 상위 10개 데이터만 선택합니다.\n",
        "freq = freq.sort_values(ascending=False).head(10)\n",
        "\n",
        "# 파이차트를 그립니다.\n",
        "plt.pie(freq, labels=freq.index, autopct='%.1f%%', startangle=90)\n",
        "plt.axis('equal')\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 414
        },
        "id": "gKEPCAqwCufI",
        "outputId": "b377e443-dd0c-4850-e2bc-04d3b3b26742"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "구의동(23.9%), 자양동(18.8%), 중곡동(16.6%) 순으로 주정차 위반 빈도가 높음"
      ],
      "metadata": {
        "id": "_6H5qe6QpRrn"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "위반내용과 단속장소 빈도 분석 : 단속장소별 위반 내용 파악"
      ],
      "metadata": {
        "id": "6ruem3xHtBuO"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# 단속장소 빈도 분석\n",
        "location_count = df['단속장소'].value_counts()\n",
        "print(location_count.head(11))"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "8ooflRqgtuCK",
        "outputId": "521bfc0b-84e6-4f64-8e9a-30dd929c97fb"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "리젠트오피스텔 건너편      8256\n",
            "동서울터미널 주차장앞      7856\n",
            "지너스타워 주차장 앞      7655\n",
            "건대입구1번출구앞        6822\n",
            "건대분수광장 건너편       6538\n",
            "아차산로             6173\n",
            "건대역약국앞           5973\n",
            "능동로              5643\n",
            "구의동 웰츠타워         5291\n",
            "군자역 5번가구할인매장앞    5286\n",
            "중곡지구대 앞          5003\n",
            "Name: 단속장소, dtype: int64\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "## 단속장소 빈도수 계산 결과 => 상위 11개(위치를 파악할 수 있을 정도의 장소)를 원래 데이터 프레임에 단속장소2로 추가\n",
        "location_count = df.groupby('단속장소').size().reset_index(name='빈도수')\n",
        "location_count = location_count.sort_values(by='빈도수', ascending=False).head(11)\n",
        "\n",
        "df = pd.merge(df, location_count[['단속장소', '빈도수']], on='단속장소', how='left')\n",
        "df = df.rename(columns={'빈도수': '단속장소2'})\n",
        "\n",
        "df"
      ],
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              "                       단속일시   단속원금  단속동               단속장소           위반내용  \\\n",
              "0          2015-01-01 06:44  40000  화양동              119-4          주정차금지   \n",
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              "2          2015-01-01 07:24  50000  구의동        동서울터미널 주차장앞    32조내지 34조위반   \n",
              "3          2015-01-01 08:00  40000  화양동          건대입구1번출구앞    32조내지 34조위반   \n",
              "4          2015-01-01 08:15  40000  화양동          건대입구1번출구앞    32조내지 34조위반   \n",
              "...                     ...    ...  ...                ...            ...   \n",
              "490923  2023-02-28 20:43:00  32000  군자동               군자빌딩  주정차금지(황색실선)구역   \n",
              "490924  2023-02-28 21:23:00   8000  자양동  서울 광진구 자양동 659-32             보도   \n",
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              "490926  2023-02-28 22:36:00  32000  자양동   서울 광진구 자양동 12-10            교차로   \n",
              "490927  2023-02-28 23:19:00  32000  자양동              02-02           횡단보도   \n",
              "\n",
              "        견인지시     데이터기준일자   단속장소2  \n",
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              "490926   미견인         NaN     NaN  \n",
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    {
      "cell_type": "code",
      "source": [
        "df = df.dropna(subset=['단속장소2'])  #결측값 제거\n",
        "df"
      ],
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          "data": {
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              "                       단속일시   단속원금  단속동         단속장소           위반내용 견인지시  \\\n",
              "1          2015-01-01 07:01  40000  화양동    건대입구1번출구앞    32조내지 34조위반  미견인   \n",
              "2          2015-01-01 07:24  50000  구의동  동서울터미널 주차장앞    32조내지 34조위반  미견인   \n",
              "3          2015-01-01 08:00  40000  화양동    건대입구1번출구앞    32조내지 34조위반  미견인   \n",
              "4          2015-01-01 08:15  40000  화양동    건대입구1번출구앞    32조내지 34조위반  미견인   \n",
              "5          2015-01-01 08:17  40000  화양동    건대입구1번출구앞    32조내지 34조위반  미견인   \n",
              "...                     ...    ...  ...          ...            ...  ...   \n",
              "490736   2023-02-26 7:39:00  32000  구의동  지너스타워 주차장 앞  주정차금지(황색실선)구역  미견인   \n",
              "490737   2023-02-26 7:39:00  32000  구의동  지너스타워 주차장 앞  주정차금지(황색실선)구역  미견인   \n",
              "490743  2023-02-26 10:49:00  32000  구의동  지너스타워 주차장 앞  주정차금지(황색실선)구역  미견인   \n",
              "490781  2023-02-26 21:48:00  32000  구의동  지너스타워 주차장 앞  주정차금지(황색실선)구역  미견인   \n",
              "490887  2023-02-28 14:23:00  32000  구의동  지너스타워 주차장 앞           횡단보도  미견인   \n",
              "\n",
              "           데이터기준일자   단속장소2  \n",
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              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>2015-01-01 08:00</td>\n",
              "      <td>40000</td>\n",
              "      <td>화양동</td>\n",
              "      <td>건대입구1번출구앞</td>\n",
              "      <td>32조내지 34조위반</td>\n",
              "      <td>미견인</td>\n",
              "      <td>2022-06-10</td>\n",
              "      <td>6822.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>2015-01-01 08:15</td>\n",
              "      <td>40000</td>\n",
              "      <td>화양동</td>\n",
              "      <td>건대입구1번출구앞</td>\n",
              "      <td>32조내지 34조위반</td>\n",
              "      <td>미견인</td>\n",
              "      <td>2022-06-10</td>\n",
              "      <td>6822.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>2015-01-01 08:17</td>\n",
              "      <td>40000</td>\n",
              "      <td>화양동</td>\n",
              "      <td>건대입구1번출구앞</td>\n",
              "      <td>32조내지 34조위반</td>\n",
              "      <td>미견인</td>\n",
              "      <td>2022-06-10</td>\n",
              "      <td>6822.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>490736</th>\n",
              "      <td>2023-02-26 7:39:00</td>\n",
              "      <td>32000</td>\n",
              "      <td>구의동</td>\n",
              "      <td>지너스타워 주차장 앞</td>\n",
              "      <td>주정차금지(황색실선)구역</td>\n",
              "      <td>미견인</td>\n",
              "      <td>NaN</td>\n",
              "      <td>7655.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>490737</th>\n",
              "      <td>2023-02-26 7:39:00</td>\n",
              "      <td>32000</td>\n",
              "      <td>구의동</td>\n",
              "      <td>지너스타워 주차장 앞</td>\n",
              "      <td>주정차금지(황색실선)구역</td>\n",
              "      <td>미견인</td>\n",
              "      <td>NaN</td>\n",
              "      <td>7655.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>490743</th>\n",
              "      <td>2023-02-26 10:49:00</td>\n",
              "      <td>32000</td>\n",
              "      <td>구의동</td>\n",
              "      <td>지너스타워 주차장 앞</td>\n",
              "      <td>주정차금지(황색실선)구역</td>\n",
              "      <td>미견인</td>\n",
              "      <td>NaN</td>\n",
              "      <td>7655.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>490781</th>\n",
              "      <td>2023-02-26 21:48:00</td>\n",
              "      <td>32000</td>\n",
              "      <td>구의동</td>\n",
              "      <td>지너스타워 주차장 앞</td>\n",
              "      <td>주정차금지(황색실선)구역</td>\n",
              "      <td>미견인</td>\n",
              "      <td>NaN</td>\n",
              "      <td>7655.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>490887</th>\n",
              "      <td>2023-02-28 14:23:00</td>\n",
              "      <td>32000</td>\n",
              "      <td>구의동</td>\n",
              "      <td>지너스타워 주차장 앞</td>\n",
              "      <td>횡단보도</td>\n",
              "      <td>미견인</td>\n",
              "      <td>NaN</td>\n",
              "      <td>7655.0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>70496 rows × 8 columns</p>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-b5fc2183-decc-41f5-a884-a741a3444c4c')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
              "        \n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "       width=\"24px\">\n",
              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\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-b5fc2183-decc-41f5-a884-a741a3444c4c 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-b5fc2183-decc-41f5-a884-a741a3444c4c');\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",
              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 24
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# '단속동'과 '위반내용' 변수 선택\n",
        "df_subset = df[['단속장소2', '위반내용']]\n",
        "\n",
        "# 결측치 제거\n",
        "df_subset = df_subset.dropna()\n",
        "\n",
        "# 각 단속동에서 어떤 위반내용이 많이 나왔는지 빈도분석 수행\n",
        "violation_counts = df_subset.groupby(['단속장소2', '위반내용']).size().reset_index(name='counts')\n",
        "\n",
        "# 결과 출력\n",
        "print(violation_counts)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "a2tB74gMtK8Z",
        "outputId": "fc1dd565-432c-49cf-f101-d828cc289851"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "      단속장소2           위반내용  counts\n",
            "0    5003.0            건널목      56\n",
            "1    5003.0            교차로      11\n",
            "2    5003.0         교통소통장애       7\n",
            "3    5003.0         도로 모퉁이       9\n",
            "4    5003.0          버스정류소       9\n",
            "..      ...            ...     ...\n",
            "118  7856.0           횡단보도     132\n",
            "119  8256.0    32조내지 34조위반    3549\n",
            "120  8256.0             보도       3\n",
            "121  8256.0  주정차금지(황색실선)구역    2708\n",
            "122  8256.0   주차금지(황색점선)구역    1996\n",
            "\n",
            "[123 rows x 3 columns]\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "시각화 : 막대그래프"
      ],
      "metadata": {
        "id": "Nh8wRdO5wLu6"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "df_sub = df[['단속동', '위반내용']]\n",
        "grouped = df_sub.groupby(['단속동', '위반내용']).size().reset_index(name='counts')\n",
        "pivot_table = grouped.pivot_table(index='위반내용', columns='단속동', values='counts', fill_value=0)\n",
        "import seaborn as sns\n",
        "import matplotlib.pyplot as plt\n",
        "\n",
        "ax = sns.heatmap(pivot_table, cmap='Blues')\n",
        "ax.set_title('단속동 별 위반내용 히트맵')\n",
        "plt.show()\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 471
        },
        "id": "WNO_qnJesb3p",
        "outputId": "693609f6-abda-455b-9ecf-69a401e0a0ae"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 2 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import pandas as pd\n",
        "import matplotlib.pyplot as plt\n",
        "\n",
        "# 단속동별 위반내용 빈도 구하기\n",
        "freq = df.groupby(['단속장소2', '위반내용']).size().reset_index(name='빈도')\n",
        "\n",
        "# 막대그래프 그리기\n",
        "fig, ax = plt.subplots(figsize=(10, 6))\n",
        "freq.plot(kind='bar', x='단속장소2', y='빈도', ax=ax)\n",
        "ax.set_xlabel('단속장소2')\n",
        "ax.set_ylabel('빈도')\n",
        "ax.set_title('단속장소별 위반내용 빈도')\n",
        "plt.show()"
      ],
      "metadata": {
        "id": "Ymma-GsYv4sr"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "시각화 : 파이차트"
      ],
      "metadata": {
        "id": "eUk3j3xQwQ9O"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "import matplotlib.pyplot as plt\n",
        "\n",
        "# 데이터프레임에서 단속동별 빈도를 구합니다.\n",
        "freq = df.groupby('단속장소2')['위반내용'].count()\n",
        "\n",
        "# 파이차트를 그립니다.\n",
        "plt.pie(freq, labels=freq.index, autopct='%.1f%%', startangle=90)\n",
        "plt.axis('equal')\n",
        "plt.legend({})\n",
        "plt.show()"
      ],
      "metadata": {
        "id": "FIQTbTStwUy1"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "위반내용 범주형 데이터로 전환"
      ],
      "metadata": {
        "id": "ODeQU_qcfJEi"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "import pandas as pd\n",
        "\n",
        "unique_violations = df['위반내용'].drop_duplicates()\n",
        "\n",
        "# factorize() 함수를 사용하여 범주형 데이터로 변환합니다.\n",
        "violation_codes, _ = pd.factorize(unique_violations)\n",
        "\n",
        "# 변환된 범주형 데이터를 출력합니다.\n",
        "print(violation_codes)\n"
      ],
      "metadata": {
        "id": "ONQk3kMV9zLb",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "1d018ba0-5454-4a55-b25e-b244d66a3b1d"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[ 0  1  2  3  4  5  6  7  8  9 10 11 12 13 14 15 16 17 18 19 20 21 22 23\n",
            " 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47\n",
            " 48 49 50 51 52 53]\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "\n",
        "# 위반내용을 범주형 데이터로 변환\n",
        "df.replace({'위반내용': {'주정차금지': 1, '32조내지 34조위반': 2,'주정차위반':3, '안전지대사방':4, '보도주차':5, '횡단보도':6, '모퉁이':7,'주차방법위반':8,'버스정류장':9,'보차도':10,'소화전,소방용기기':11,'건널목,횡단보도':12,'황색실선,황색점선':13,'교차로,모퉁이':14,'도로교통법 제32조':15,'보도막음':16,'통학로':17,'이중주차':18,'어린이보호구역':19,\n",
        "                     '중앙선':20,'도로교통법 제34조':21,'라인밖':22,'민원신고':23,'교차로':24,'공사구역':25,'차도':26,'도로교통법 제33조':27,'32조위반':28,'기타':29,'소화전':30,'교통장애':31,'주정차금지구역':32,'주정차금지(황색실선)구역':33,'보도':34,'일방통행':35,'안전지대':36,'버스정류소':37,'주차금지(황색점선)구역':38,'도로 모퉁이':39,\n",
        "                     '화재경보기':40,'교통소통장애':41,'건널목':42,'터널':43,'이면도로주차':44,'주차구획선외 주차':45,'소방기계 비치장소':46,'도로공사구역':47,'다리':48,'거주자우선':49,\n",
        "                     '소방차(긴급차량)통행장애':50,'교차로,횡단보도,보도':51,'특별구역':52,'소통장해':53,'유턴지역':54,}}, inplace=True)\n",
        "df\n"
      ],
      "metadata": {
        "id": "JTpSAxNKD5cS",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 658
        },
        "outputId": "c950ae78-777f-4963-bb04-656f6eeddc15"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "                       단속일시   단속원금  단속동               단속장소  위반내용  견인지시  \\\n",
              "0          2015-01-01 06:44  40000  화양동              119-4     1  견인처리   \n",
              "1          2015-01-01 07:01  40000  화양동          건대입구1번출구앞     2   미견인   \n",
              "2          2015-01-01 07:24  50000  구의동        동서울터미널 주차장앞     2   미견인   \n",
              "3          2015-01-01 08:00  40000  화양동          건대입구1번출구앞     2   미견인   \n",
              "4          2015-01-01 08:15  40000  화양동          건대입구1번출구앞     2   미견인   \n",
              "...                     ...    ...  ...                ...   ...   ...   \n",
              "490926  2023-02-28 20:43:00  32000  군자동               군자빌딩    33   미견인   \n",
              "490927  2023-02-28 21:23:00   8000  자양동  서울 광진구 자양동 659-32    34   미견인   \n",
              "490928  2023-02-28 21:38:00  32000  화양동     서울 광진구 능동로 154    34   미견인   \n",
              "490929  2023-02-28 22:36:00  32000  자양동   서울 광진구 자양동 12-10    24   미견인   \n",
              "490930  2023-02-28 23:19:00  32000  자양동              02-02     6   미견인   \n",
              "\n",
              "           데이터기준일자  \n",
              "0       2022-06-10  \n",
              "1       2022-06-10  \n",
              "2       2022-06-10  \n",
              "3       2022-06-10  \n",
              "4       2022-06-10  \n",
              "...            ...  \n",
              "490926         NaN  \n",
              "490927         NaN  \n",
              "490928         NaN  \n",
              "490929         NaN  \n",
              "490930         NaN  \n",
              "\n",
              "[490931 rows x 7 columns]"
            ],
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              "      <th></th>\n",
              "      <th>단속일시</th>\n",
              "      <th>단속원금</th>\n",
              "      <th>단속동</th>\n",
              "      <th>단속장소</th>\n",
              "      <th>위반내용</th>\n",
              "      <th>견인지시</th>\n",
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              "      <th>0</th>\n",
              "      <td>2015-01-01 06:44</td>\n",
              "      <td>40000</td>\n",
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              "      <td>119-4</td>\n",
              "      <td>1</td>\n",
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              "      <td>2022-06-10</td>\n",
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              "      <th>1</th>\n",
              "      <td>2015-01-01 07:01</td>\n",
              "      <td>40000</td>\n",
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              "      <td>건대입구1번출구앞</td>\n",
              "      <td>2</td>\n",
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              "      <td>2022-06-10</td>\n",
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              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>2015-01-01 07:24</td>\n",
              "      <td>50000</td>\n",
              "      <td>구의동</td>\n",
              "      <td>동서울터미널 주차장앞</td>\n",
              "      <td>2</td>\n",
              "      <td>미견인</td>\n",
              "      <td>2022-06-10</td>\n",
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              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>2015-01-01 08:00</td>\n",
              "      <td>40000</td>\n",
              "      <td>화양동</td>\n",
              "      <td>건대입구1번출구앞</td>\n",
              "      <td>2</td>\n",
              "      <td>미견인</td>\n",
              "      <td>2022-06-10</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>2015-01-01 08:15</td>\n",
              "      <td>40000</td>\n",
              "      <td>화양동</td>\n",
              "      <td>건대입구1번출구앞</td>\n",
              "      <td>2</td>\n",
              "      <td>미견인</td>\n",
              "      <td>2022-06-10</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>490926</th>\n",
              "      <td>2023-02-28 20:43:00</td>\n",
              "      <td>32000</td>\n",
              "      <td>군자동</td>\n",
              "      <td>군자빌딩</td>\n",
              "      <td>33</td>\n",
              "      <td>미견인</td>\n",
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              "    <tr>\n",
              "      <th>490927</th>\n",
              "      <td>2023-02-28 21:23:00</td>\n",
              "      <td>8000</td>\n",
              "      <td>자양동</td>\n",
              "      <td>서울 광진구 자양동 659-32</td>\n",
              "      <td>34</td>\n",
              "      <td>미견인</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>490928</th>\n",
              "      <td>2023-02-28 21:38:00</td>\n",
              "      <td>32000</td>\n",
              "      <td>화양동</td>\n",
              "      <td>서울 광진구 능동로 154</td>\n",
              "      <td>34</td>\n",
              "      <td>미견인</td>\n",
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              "    <tr>\n",
              "      <th>490929</th>\n",
              "      <td>2023-02-28 22:36:00</td>\n",
              "      <td>32000</td>\n",
              "      <td>자양동</td>\n",
              "      <td>서울 광진구 자양동 12-10</td>\n",
              "      <td>24</td>\n",
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              "    <tr>\n",
              "      <th>490930</th>\n",
              "      <td>2023-02-28 23:19:00</td>\n",
              "      <td>32000</td>\n",
              "      <td>자양동</td>\n",
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              "<p>490931 rows × 7 columns</p>\n",
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              "\n",
              "    [theme=dark] .colab-df-convert {\n",
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              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
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              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-c7f65292-f552-45f8-a40c-80dac7fe059d');\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",
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              "  "
            ]
          },
          "metadata": {},
          "execution_count": 4
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "unique_violations = df['위반내용'].drop_duplicates()\n",
        "print(unique_violations)"
      ],
      "metadata": {
        "id": "k42ioxYcGo2E"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# 위반내용 빈도 분석\n",
        "violation_count = df['위반내용'].value_counts()\n",
        "#print(violation_count)\n",
        "violation_count.shape\n",
        "\n",
        "# 위반내용 빈도 시각화\n",
        "violation_count.plot(kind='bar')\n",
        "plt.show()"
      ],
      "metadata": {
        "id": "ryY_8jYPGeGV"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "print(violation_count)"
      ],
      "metadata": {
        "id": "EwcaofWpHZ5E"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "plt.pie(violation_count, labels=violation_count.index, autopct='%.1f%%', textprops={'fontsize': 12})\n",
        "plt.axis('equal')\n",
        "plt.title('위반내용 비율', fontsize=16)\n",
        "plt.show()"
      ],
      "metadata": {
        "id": "8ae4XEIdU1Ht"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "단속동 범주형 데이터로 전환"
      ],
      "metadata": {
        "id": "jmsSE44jfMzO"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "df = df.dropna(subset=['단속동'])\n",
        "df = df.dropna(subset=['위반내용'])"
      ],
      "metadata": {
        "id": "fTDzJT7ZJWrV"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "df.loc[df['단속동'] == '중곡동', '단속동'] = 1\n",
        "df.loc[df['단속동'] == '군자동', '단속동'] = 2\n",
        "df.loc[df['단속동'] == '능동', '단속동'] = 3\n",
        "df.loc[df['단속동'] == '화양동', '단속동'] = 4\n",
        "df.loc[df['단속동'] == '구의동', '단속동'] = 5\n",
        "df.loc[df['단속동'] == '광장동', '단속동'] = 6\n",
        "df.loc[df['단속동'] == '자양동', '단속동'] = 7\n",
        "\n",
        "df"
      ],
      "metadata": {
        "id": "HGC4sIwhIS9q"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# 단속동의 데이터들을 정수형 타입으로 변경\n",
        "df['단속동'] = pd.to_numeric(df['단속동'], errors='coerce').astype('Int64')"
      ],
      "metadata": {
        "id": "Q8xDiErwIwRX"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "단속일시별 주정차 위반 빈도파악"
      ],
      "metadata": {
        "id": "AEq8ODmzfQnk"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "print(type(df['단속일시'][1]))\n"
      ],
      "metadata": {
        "id": "0kz2x3aOGELW",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "d8e2ce7e-782a-4247-81ec-6fa22e13d412"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "<class 'str'>\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "print(df['단속일시'])"
      ],
      "metadata": {
        "id": "UjakUREqdjoQ",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "0acd620e-f819-4550-ed55-f604db0ed91f"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "0            2015-01-01 06:44\n",
            "1            2015-01-01 07:01\n",
            "2            2015-01-01 07:24\n",
            "3            2015-01-01 08:00\n",
            "4            2015-01-01 08:15\n",
            "                 ...         \n",
            "490926    2023-02-28 20:43:00\n",
            "490927    2023-02-28 21:23:00\n",
            "490928    2023-02-28 21:38:00\n",
            "490929    2023-02-28 22:36:00\n",
            "490930    2023-02-28 23:19:00\n",
            "Name: 단속일시, Length: 490931, dtype: object\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# str 타입을 datetime 형식으로 변환\n",
        "df['단속일시'] = pd.to_datetime(df['단속일시'])\n",
        "\n",
        "print(df['단속일시'])"
      ],
      "metadata": {
        "id": "t4PETEFfGRB-",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "35249e2c-45a5-4cb9-e4fb-55d6e41052d6"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "0        2015-01-01 06:44:00\n",
            "1        2015-01-01 07:01:00\n",
            "2        2015-01-01 07:24:00\n",
            "3        2015-01-01 08:00:00\n",
            "4        2015-01-01 08:15:00\n",
            "                 ...        \n",
            "490926   2023-02-28 20:43:00\n",
            "490927   2023-02-28 21:23:00\n",
            "490928   2023-02-28 21:38:00\n",
            "490929   2023-02-28 22:36:00\n",
            "490930   2023-02-28 23:19:00\n",
            "Name: 단속일시, Length: 490931, dtype: datetime64[ns]\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import pandas as pd\n",
        "\n",
        "# datetime 형식으로 변환\n",
        "df['단속일시'] = pd.to_datetime(df['단속일시'])\n",
        "\n",
        "# # 날짜 추출 및 빈도분석\n",
        "# date_counts = df['단속일시'].dt.date.value_counts().reset_index()\n",
        "# date_counts.columns = ['date', 'count']\n",
        "# print(date_counts)\n",
        "\n",
        "# 시간 추출 및 빈도분석\n",
        "time_counts = df['단속일시'].dt.time.value_counts().reset_index()\n",
        "time_counts.columns = ['time', 'count']\n",
        "print(time_counts)\n"
      ],
      "metadata": {
        "id": "zcOX22NFPWdE",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "94d3baa9-e8aa-4f68-f9c5-51ede5ef6b03"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "          time  count\n",
            "0     20:06:00    969\n",
            "1     19:46:00    913\n",
            "2     20:00:00    890\n",
            "3     19:47:00    871\n",
            "4     19:48:00    870\n",
            "...        ...    ...\n",
            "1435  04:53:00      3\n",
            "1436  05:07:00      3\n",
            "1437  04:59:00      3\n",
            "1438  03:57:00      2\n",
            "1439  04:34:00      2\n",
            "\n",
            "[1440 rows x 2 columns]\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "시간순으로 sort함"
      ],
      "metadata": {
        "id": "Ukbw_bLkUAh5"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "time_counts = time_counts.sort_values(by='time')\n",
        "print(time_counts)"
      ],
      "metadata": {
        "id": "O9KdDlaUTyeP",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "33f0a230-1524-4420-a5c9-055010a6f78c"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "          time  count\n",
            "1019  00:00:00    216\n",
            "1037  00:01:00    197\n",
            "1018  00:02:00    217\n",
            "1007  00:03:00    225\n",
            "1044  00:04:00    190\n",
            "...        ...    ...\n",
            "1016  23:55:00    218\n",
            "1042  23:56:00    194\n",
            "1050  23:57:00    182\n",
            "1012  23:58:00    220\n",
            "1053  23:59:00    179\n",
            "\n",
            "[1440 rows x 2 columns]\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import matplotlib.pyplot as plt\n",
        "plt.rc('font', family='NanumBarunGothic')\n",
        "\n",
        "# 시간 추출 및 빈도분석\n",
        "time_counts = df['단속일시'].dt.time.value_counts().reset_index()\n",
        "time_counts.columns = ['time', 'count']\n",
        "time_counts = time_counts.sort_values(by='time')\n",
        "\n",
        "# 문자열로 변환\n",
        "time_counts['time'] = time_counts['time'].astype(str)\n",
        "\n",
        "# 그래프 그리기\n",
        "plt.bar(x=time_counts['time'], height=time_counts['count'])\n",
        "plt.xticks(rotation=90)\n",
        "plt.xlabel('시간')\n",
        "plt.ylabel('단속 건수')\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 492
        },
        "id": "3zL9TfapWADT",
        "outputId": "98da1ab2-48d2-4d47-8e45-2914a9a2b058"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import matplotlib.pyplot as plt\n",
        "import pandas as pd\n",
        "\n",
        "# datetime 형식으로 변환\n",
        "df['단속일시'] = pd.to_datetime(df['단속일시'])\n",
        "\n",
        "# 시간 추출 및 빈도분석\n",
        "time_counts = df['단속일시'].dt.hour.value_counts().sort_index()\n",
        "\n",
        "# 그래프 그리기\n",
        "plt.bar(x=time_counts.index, height=time_counts.values)\n",
        "plt.xticks(range(24))\n",
        "plt.xlabel('시간')\n",
        "plt.ylabel('단속 건수')\n",
        "plt.show()\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 449
        },
        "id": "Ub2Ppd01Xvg-",
        "outputId": "65a86676-67bd-43a4-c199-1218add04f77"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import matplotlib.pyplot as plt\n",
        "import pandas as pd\n",
        "\n",
        "# datetime 형식으로 변환\n",
        "df['단속일시'] = pd.to_datetime(df['단속일시'])\n",
        "\n",
        "# 시간 추출 및 빈도분석\n",
        "time_counts = df['단속일시'].dt.hour.value_counts().sort_index()\n",
        "\n",
        "# 가장 큰 값을 추출\n",
        "max_value = time_counts.max()\n",
        "\n",
        "# 그래프 그리기\n",
        "colors = ['skyblue' if val < max_value else '#CD5C5C' for val in time_counts.values]\n",
        "plt.bar(x=time_counts.index, height=time_counts.values, color=colors)\n",
        "plt.xticks(range(24))\n",
        "plt.xlabel('시간')\n",
        "plt.ylabel('단속 건수')\n",
        "plt.show()\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 449
        },
        "id": "g4i-aHBdYOWd",
        "outputId": "c6a23294-b832-4f7c-d920-c59d73435bdb"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import matplotlib.pyplot as plt\n",
        "import pandas as pd\n",
        "\n",
        "# datetime 형식으로 변환\n",
        "df['단속일시'] = pd.to_datetime(df['단속일시'])\n",
        "\n",
        "# 시간 추출 및 빈도분석\n",
        "time_counts = df['단속일시'].dt.hour.value_counts().sort_index()\n",
        "\n",
        "# 그래프 그리기\n",
        "plt.plot(time_counts.index, time_counts.values, color='blue', marker='o')\n",
        "plt.xticks(range(24))\n",
        "plt.xlabel('시간')\n",
        "plt.ylabel('단속 건수')\n",
        "plt.show()\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 449
        },
        "id": "yB3QXhijaU4d",
        "outputId": "10b08d85-d32d-4672-a60e-e30e79cb2f1c"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import matplotlib.pyplot as plt\n",
        "import pandas as pd\n",
        "\n",
        "# datetime 형식으로 변환\n",
        "df['단속일시'] = pd.to_datetime(df['단속일시'])\n",
        "\n",
        "# 시간 추출 및 빈도분석\n",
        "time_counts = df['단속일시'].dt.hour.value_counts().sort_index()\n",
        "\n",
        "# 그래프 그리기\n",
        "plt.plot(time_counts.index, time_counts.values, color='#ADD8E6',marker='o')\n",
        "plt.xticks(range(24))\n",
        "plt.xlabel('시간')\n",
        "plt.ylabel('단속 건수')\n",
        "plt.show()\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 449
        },
        "id": "LY7vAVKSabAR",
        "outputId": "5bb48150-c437-449d-b8e3-7a6b9b79615c"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import matplotlib.pyplot as plt\n",
        "import pandas as pd\n",
        "\n",
        "# datetime 형식으로 변환\n",
        "df['단속일시'] = pd.to_datetime(df['단속일시'])\n",
        "\n",
        "# 시간 추출 및 빈도분석\n",
        "time_counts = df['단속일시'].dt.hour.value_counts().sort_index()\n",
        "\n",
        "# 그래프 그리기\n",
        "max_idx = time_counts.idxmax()\n",
        "plt.plot(time_counts.index, time_counts.values, color='#87CEFA', marker='o')\n",
        "plt.plot([max_idx], [time_counts.loc[max_idx]], marker='o', markersize=7, color='#CD5C5C')\n",
        "plt.xticks(range(24))\n",
        "plt.xlabel('시간')\n",
        "plt.ylabel('단속 건수')\n",
        "plt.show()\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 449
        },
        "id": "gYf_Dl96aimz",
        "outputId": "128242c8-446b-4ae5-8586-cf00b189bbb1"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    }
  ]
}