{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Total SD: 62071\n",
      "Total PD: 10530\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "\n",
    "# 전체 글꼴 크기 설정\n",
    "plt.rcParams.update({'font.size': 18})\n",
    "\n",
    "# CSV 파일 읽기\n",
    "df = pd.read_csv('raw_data.csv')\n",
    "\n",
    "# ships_idx 별 전체 갯수 계산\n",
    "total_counts = df['ships_idx'].value_counts().sort_index()\n",
    "\n",
    "# ships_idx 별 MDM=True 인 갯수 계산\n",
    "mdm_true_counts = df[df['MDM'] == True]['ships_idx'].value_counts().sort_index()\n",
    "\n",
    "# 데이터프레임으로 합치기\n",
    "summary_df = pd.DataFrame({\n",
    "    'SD': total_counts,\n",
    "    'PD': mdm_true_counts\n",
    "}).fillna(0)  # NaN 값을 0으로 대체\n",
    "\n",
    "# SD와 PD의 총 갯수 계산\n",
    "total_SD = summary_df['SD'].sum()\n",
    "total_PD = summary_df['PD'].sum()\n",
    "\n",
    "# 총 갯수 출력\n",
    "print(f\"Total SD: {total_SD}\")\n",
    "print(f\"Total PD: {total_PD}\")\n",
    "\n",
    "# 시각화\n",
    "fig, ax = plt.subplots(figsize=(10, 6))\n",
    "\n",
    "# Total Counts 먼저 그리기 (굵은 막대로 설정)\n",
    "summary_df['SD'].plot(kind='barh', ax=ax, color='orange', alpha=0.5, label='SD', width=0.8)  # 막대 폭을 넓게 설정\n",
    "\n",
    "# MDM=True Counts를 그 위에 겹쳐서 그리기 (굵은 막대로 설정)\n",
    "summary_df['PD'].plot(kind='barh', ax=ax, color='blue', alpha=0.7, label='PD', width=0.8)  # 막대 폭을 넓게 설정\n",
    "\n",
    "# y축 라벨을 10 단위로 설정\n",
    "y_labels = ax.get_yticks()\n",
    "ax.set_yticks(np.arange(min(y_labels), max(y_labels) + 1, 10))\n",
    "ax.set_yticklabels([int(label) for label in np.arange(min(y_labels), max(y_labels) + 1, 10)])\n",
    "\n",
    "# 그리드 추가\n",
    "ax.grid(True)\n",
    "\n",
    "# 범례와 제목 설정\n",
    "plt.legend(prop={'size': 18})  # 레전드 글꼴 크기 설정\n",
    "plt.xlabel('Counts')\n",
    "plt.ylabel('Ships')\n",
    "\n",
    "# 그래프 출력\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Tag Description의 평균 글자수: 27.38\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Tag Description의 평균 토큰 수: 5.29\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "전체 토큰 수: 328251\n",
      "고유 토큰 수: 8283\n"
     ]
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "# SD와 PD의 총 갯수 계산\n",
    "total_SD = summary_df['SD'].sum()  # SD의 총 갯수\n",
    "total_PD = summary_df['PD'].sum()  # PD의 총 갯수\n",
    "\n",
    "# tag_description의 글자수 계산\n",
    "df['tag_description_length'] = df['tag_description'].astype(str).apply(len)\n",
    "\n",
    "# tag_description의 평균 글자수 계산\n",
    "mean_tag_description_length = df['tag_description_length'].mean()\n",
    "\n",
    "# 결과 출력\n",
    "print(f\"Tag Description의 평균 글자수: {mean_tag_description_length:.2f}\")\n",
    "\n",
    "# 글자수 분포를 히스토그램으로 시각화\n",
    "plt.figure(figsize=(10, 6))\n",
    "plt.hist(df['tag_description_length'], bins=30, color='skyblue', edgecolor='black', alpha=0.7)\n",
    "plt.title('Distribution of Tag Description Lengths')\n",
    "plt.xlabel('Tag Description Length (characters)')\n",
    "plt.ylabel('Frequency')\n",
    "plt.grid(True)\n",
    "plt.show()\n",
    "\n",
    "# tag_description을 ' '로 split한 후 토큰 수 계산\n",
    "df['tag_description_tokens'] = df['tag_description'].astype(str).apply(lambda x: len(x.split(' ')))\n",
    "\n",
    "# tag_description의 평균 토큰 수 계산\n",
    "mean_tag_description_tokens = df['tag_description_tokens'].mean()\n",
    "\n",
    "# 결과 출력\n",
    "print(f\"Tag Description의 평균 토큰 수: {mean_tag_description_tokens:.2f}\")\n",
    "\n",
    "# 토큰 수 분포를 히스토그램으로 시각화\n",
    "plt.figure(figsize=(10, 6))\n",
    "plt.hist(df['tag_description_tokens'], bins=30, color='lightgreen', edgecolor='black', alpha=0.7)\n",
    "plt.title('Distribution of Tag Description Tokens')\n",
    "plt.xlabel('Number of Tokens')\n",
    "plt.ylabel('Frequency')\n",
    "plt.grid(True)\n",
    "plt.show()\n",
    "\n",
    "# 전체 텍스트에서 모든 토큰 수와 고유 토큰 수 계산\n",
    "all_tokens = df['tag_description'].astype(str).apply(lambda x: x.split(' ')).sum()  # 전체 토큰 리스트\n",
    "unique_tokens = set(all_tokens)  # 고유 토큰 집합\n",
    "\n",
    "# 전체 토큰 수와 고유 토큰 수 계산\n",
    "total_token_count = len(all_tokens)\n",
    "unique_token_count = len(unique_tokens)\n",
    "\n",
    "# 결과 출력\n",
    "print(f\"전체 토큰 수: {total_token_count}\")\n",
    "print(f\"고유 토큰 수: {unique_token_count}\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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