{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "6b5e8c5b-7c97-4793-957f-ad571767dcd5",
   "metadata": {},
   "source": [
    "# Eksplorasi Data\n",
    "\n",
    "## Load Library"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "45a4b275-fc1a-4336-840f-40a69b06c9c8",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Found existing installation: numpy 1.26.4\n",
      "Uninstalling numpy-1.26.4:\n",
      "  Successfully uninstalled numpy-1.26.4\n",
      "Found existing installation: pandas 2.2.2\n",
      "Uninstalling pandas-2.2.2:\n",
      "  Successfully uninstalled pandas-2.2.2\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "WARNING: Failed to remove contents in a temporary directory 'C:\\Users\\Fedi Arta\\anaconda3\\Lib\\site-packages\\~-mpy.libs'.\n",
      "You can safely remove it manually.\n",
      "WARNING: Failed to remove contents in a temporary directory 'C:\\Users\\Fedi Arta\\anaconda3\\Lib\\site-packages\\~-mpy'.\n",
      "You can safely remove it manually.\n",
      "WARNING: Failed to remove contents in a temporary directory 'C:\\Users\\Fedi Arta\\anaconda3\\Lib\\site-packages\\~andas.libs'.\n",
      "You can safely remove it manually.\n",
      "WARNING: Failed to remove contents in a temporary directory 'C:\\Users\\Fedi Arta\\anaconda3\\Lib\\site-packages\\~andas'.\n",
      "You can safely remove it manually.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Collecting pandas==2.2.2\n",
      "  Using cached pandas-2.2.2-cp312-cp312-win_amd64.whl.metadata (19 kB)\n",
      "Collecting numpy==1.26.4\n",
      "  Using cached numpy-1.26.4-cp312-cp312-win_amd64.whl.metadata (61 kB)\n",
      "Requirement already satisfied: python-dateutil>=2.8.2 in c:\\users\\fedi arta\\anaconda3\\lib\\site-packages (from pandas==2.2.2) (2.9.0.post0)\n",
      "Requirement already satisfied: pytz>=2020.1 in c:\\users\\fedi arta\\anaconda3\\lib\\site-packages (from pandas==2.2.2) (2024.1)\n",
      "Requirement already satisfied: tzdata>=2022.7 in c:\\users\\fedi arta\\anaconda3\\lib\\site-packages (from pandas==2.2.2) (2023.3)\n",
      "Requirement already satisfied: six>=1.5 in c:\\users\\fedi arta\\anaconda3\\lib\\site-packages (from python-dateutil>=2.8.2->pandas==2.2.2) (1.16.0)\n",
      "Using cached pandas-2.2.2-cp312-cp312-win_amd64.whl (11.5 MB)\n",
      "Using cached numpy-1.26.4-cp312-cp312-win_amd64.whl (15.5 MB)\n",
      "Installing collected packages: numpy, pandas\n",
      "Successfully installed numpy-1.26.4 pandas-2.2.2\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "ERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.\n",
      "thinc 8.3.6 requires numpy<3.0.0,>=2.0.0, but you have numpy 1.26.4 which is incompatible.\n"
     ]
    }
   ],
   "source": [
    "!pip uninstall -y numpy pandas\n",
    "!pip install pandas==2.2.2 numpy==1.26.4\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "4b34c955-ece8-4ada-804f-2de5d09a9119",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "import os\n",
    "import csv\n",
    "import os.path\n",
    "import pandas as pd\n",
    "\n",
    "import warnings\n",
    "warnings.filterwarnings(\"ignore\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "23d551a1-a778-4460-870b-fa044e704927",
   "metadata": {},
   "source": [
    "## Daftar PN di Jawa Timur"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "f43baebd-e9a8-4725-b5fb-f105054cb52c",
   "metadata": {},
   "outputs": [],
   "source": [
    "pns = [\n",
    "    \"pn-sidoarjo\",\n",
    "    \"pn-gresik\",\n",
    "    \"pn-mojokerto\",\n",
    "    \"pn-jombang\",\n",
    "    \"pn-lamongan\",\n",
    "    \"pn-tuban\",\n",
    "    \"pn-bojonegoro\",\n",
    "    \"pn-madiun\",\n",
    "    \"pn-madiun\",\n",
    "    \"pn-magetan\",\n",
    "    \"pn-ngawi\",\n",
    "    \"pn-ponorogo\",\n",
    "    \"pn-pacitan\",\n",
    "    \"pn-trenggalek\",\n",
    "    \"pn-tulungagung\",\n",
    "    \"pn-blitar\",\n",
    "    \"pn-kediri\",\n",
    "    \"pn-nganjuk\",\n",
    "    \"pn-malang\",\n",
    "    \"pn-kepanjen\",\n",
    "    \"pn-pasuruan\",\n",
    "    \"pn-bangil\",\n",
    "    \"pn-probolinggo\",\n",
    "    \"pn-kraksaan\",\n",
    "    \"pn-lumajang\",\n",
    "    \"pn-jember\",\n",
    "    \"pn-bondowoso\",\n",
    "    \"pn-situbondo\",\n",
    "    \"pn-banyuwangi\",\n",
    "    \"pn-bangkalan\",\n",
    "    \"pn-sampang\",\n",
    "    \"pn-pamekasan\",\n",
    "    \"pn-sumenep\",\n",
    "    \"pn-surabaya\"\n",
    "]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fdf886ee-644a-4696-b599-3b29e25ca699",
   "metadata": {},
   "source": [
    "## Struktur & Kuantitas Data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "c99ce870-b5cd-46b4-af9e-0e3458e90b94",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Total pn: 32\n",
      "Total baris: 44896\n",
      "Kolom: ['terdakwa', 'penuntut_umum', 'nomor', 'tingkat_proses', 'klasifikasi', 'kata_kunci', 'tahun', 'tanggal_register', 'lembaga_peradilan', 'jenis_lembaga_peradilan', 'hakim_ketua', 'hakim_anggota', 'panitera', 'amar', 'amar_lainnya', 'catatan_amar', 'tanggal_musyawarah', 'tanggal_dibacakan', 'kaidah', 'abstrak', 'url']\n"
     ]
    }
   ],
   "source": [
    "dfs = []\n",
    "existPn = []\n",
    "for pn in pns:\n",
    "    exist = False\n",
    "    dataPath = f\"meta/{pn}\"\n",
    "    if not os.path.isdir(dataPath):\n",
    "        os.mkdir(dataPath)\n",
    "    csvName = [\"pidb-no-pdf\", \"pidb-pdf\", \"pidc-no-pdf\", \"pidc-pdf\"]\n",
    "    for fileMetaCSV in csvName:\n",
    "        filePath = f\"{dataPath}/{pn}-{fileMetaCSV}.csv\"\n",
    "        if os.path.exists(filePath):\n",
    "            df = pd.read_csv(filePath, on_bad_lines='skip')\n",
    "            dfs.append(df)\n",
    "            exist = True\n",
    "    if exist:\n",
    "        existPn.append(pn)\n",
    "\n",
    "data = pd.concat(dfs, ignore_index=True)\n",
    "dataLower = data.applymap(lambda x: x.lower().strip() if isinstance(x, str) and x.strip() != \"\" else x)\n",
    "print(\"Total pn:\", len(existPn))\n",
    "print(\"Total baris:\", len(dataLower))\n",
    "print(\"Kolom:\", list(dataLower.columns))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "128ccff2-b96b-4282-82b2-2892847993c5",
   "metadata": {},
   "source": [
    "Mendapatkan data dari total xx PN di Jawa Timur, dengan total xxx data dan memiliki 21 kolom."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2f772350-4899-48ce-bc8f-51b3f6a85afd",
   "metadata": {},
   "source": [
    "## Kelengkapan dan Kualitas Data\n",
    "\n",
    "### Jumlah Data Duplikat"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "id": "1cb190f3-5705-46de-9313-d9fdc24e65b4",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Jumlah putusan duplikat berdasarkan nomor: 17132\n"
     ]
    }
   ],
   "source": [
    "jumlah_duplikat = dataLower['nomor'].duplicated().sum()\n",
    "print(f\"Jumlah putusan duplikat berdasarkan nomor: {jumlah_duplikat}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8ecacf9c-543e-4949-9b59-73b71d61e0d9",
   "metadata": {},
   "source": [
    "Dari xxx data, ditemukan data duplikat sebanyak xxx sehingga diperlukan penanganan saat preprocessing data"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8e6ccb2e-3967-4f98-818e-a14891dd3eeb",
   "metadata": {},
   "source": [
    "### Jumlah Missing Values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "id": "d7522e5c-c428-4b6e-9936-64d37a8b1908",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "Persentase Missing Values per Kolom:\n",
      "terdakwa                    3102\n",
      "penuntut_umum              15914\n",
      "nomor                          0\n",
      "tingkat_proses                 0\n",
      "klasifikasi                   44\n",
      "kata_kunci                  1761\n",
      "tahun                         37\n",
      "tanggal_register               0\n",
      "lembaga_peradilan              0\n",
      "jenis_lembaga_peradilan        0\n",
      "hakim_ketua                    0\n",
      "hakim_anggota                  0\n",
      "panitera                       0\n",
      "amar                           0\n",
      "amar_lainnya                   0\n",
      "catatan_amar                   0\n",
      "tanggal_musyawarah             0\n",
      "tanggal_dibacakan              0\n",
      "kaidah                       246\n",
      "abstrak                    44896\n",
      "url                        17627\n",
      "dtype: int64\n"
     ]
    }
   ],
   "source": [
    "print(\"\\nPersentase Missing Values per Kolom:\")\n",
    "print(dataLower.isnull().sum())"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b8716a52-7f4a-4254-a0c5-cbd9c58bcae7",
   "metadata": {},
   "source": [
    "Terdapat beberapa kolom yang memiliki data kosong, hal ini perlu dipertimbangkan lagi kedepannya untuk tetap diikutkan atau dihapus, untuk kolom yang tidak diperlukan seperti abstrak, baris tidak akan dihapus nantinya."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "id": "eb3e608d-1cd2-4454-a7f5-159234f6c4a5",
   "metadata": {},
   "outputs": [],
   "source": [
    "#dataLower = dataLower.dropna(subset=['tanggal_dibacakan', 'tahun', 'tanggal_musyawarah'])"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "909fba00-cbce-41df-b9c4-2419375953ee",
   "metadata": {},
   "source": [
    "# Distribusi Awal Data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "id": "156c910e-e0fb-455d-82e7-dcd96ffbb847",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "dataLower['tanggal'] = pd.to_datetime(dataLower['tanggal_musyawarah'], errors='coerce')\n",
    "dataLower['tahun_putusan'] = dataLower['tanggal'].dt.year.astype('Int64')\n",
    "\n",
    "plt.figure(figsize=(8,4))\n",
    "dataLower['tahun_putusan'].value_counts().sort_index().plot(kind='bar')\n",
    "plt.title(\"Jumlah Putusan per Tahun (Gabungan Semua PN)\")\n",
    "plt.xlabel(\"Tahun\")\n",
    "plt.ylabel(\"Jumlah Kasus\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5ddae187-ff4f-4ee0-8540-a8028ec7e2cd",
   "metadata": {},
   "source": [
    "Karena hanya memakai data dari jangka waktu sekian, maka untuk data dari tahun selain itu nantinya akan dihilangkan"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "id": "ade8772d-d022-4832-9a32-f053a22f4c91",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(10,5))\n",
    "dataLower['lembaga_peradilan'].value_counts().plot(kind='bar')\n",
    "plt.title(\"Distribusi Jumlah Putusan per Pengadilan Negeri\")\n",
    "plt.xlabel(\"Pengadilan Negeri\")\n",
    "plt.ylabel(\"Jumlah Putusan\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0651ae7d-0c41-4a66-a03c-e8056b481a19",
   "metadata": {},
   "source": [
    "Surabaya terlihat memiliki jumlah kasus terbanyak dari pengadilan negeri yang lain. Terdapat beberapa data kotor yang nantinya harus dilakukan penanganan khusus agar tidak mengganggu"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "id": "cd97c009-a6f8-4c76-90f1-6fee27f9e7a0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(10,5))\n",
    "dataLower['kata_kunci'].value_counts().head(10).plot(kind='bar')\n",
    "plt.title(\"10 Jenis Pidana Terbanyak (Gabungan Semua PN)\")\n",
    "plt.xlabel(\"Jenis Pidana\")\n",
    "plt.ylabel(\"Jumlah Kasus\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ca0fea65-7c87-48c5-8753-fa2bfcff1e89",
   "metadata": {},
   "source": [
    "Persebaran Tindak pidana"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "5898ec68-95a6-4c4f-9898-9b93a010d8a2",
   "metadata": {},
   "outputs": [],
   "source": []
  }
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