{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# EDA — MIMIC-CXR Reports\n", "\n", "Phân tích chuyên sâu toàn bộ report `.txt` trong MIMIC-CXR:\n", "- Thống kê tất cả loại section header thực tế\n", "- Tỉ lệ report có/thiếu findings, impression theo subset\n", "- Phân phối độ dài findings & impression\n", "- Parser cập nhật xử lý đầy đủ alias (CONCLUSION, FINDINGS AND IMPRESSION, v.v.)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## 0. Config" ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ " ✓ CXR_ROOT: D:\\USTH\\KLTN\\cxr-vlm-data\\mimic-cxr-reports\n", " ✓ SPLIT_CSV: D:\\USTH\\KLTN\\cxr-vlm-data\\mimic-cxr-2.0.0-split.csv\n" ] } ], "source": [ "from pathlib import Path\n", "\n", "CXR_ROOT = Path(r\"D:\\USTH\\KLTN\\cxr-vlm-data\\mimic-cxr-reports\") # files/p10…p19/\n", "SPLIT_CSV = Path(r\"D:\\USTH\\KLTN\\cxr-vlm-data\\mimic-cxr-2.0.0-split.csv\")\n", "\n", "# None = parse hết ~227k, số nguyên = sample nhanh\n", "SAMPLE_SIZE = None\n", "\n", "for name, p in [(\"CXR_ROOT\", CXR_ROOT), (\"SPLIT_CSV\", SPLIT_CSV)]:\n", " print(f\" {'✓' if p.exists() else '✗ NOT FOUND'} {name}: {p}\")" ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Ready.\n" ] } ], "source": [ "import re\n", "import pandas as pd\n", "import numpy as np\n", "import matplotlib.pyplot as plt\n", "import matplotlib.ticker as mticker\n", "import seaborn as sns\n", "from collections import Counter\n", "\n", "sns.set_theme(style=\"whitegrid\", palette=\"muted\")\n", "plt.rcParams[\"figure.dpi\"] = 120\n", "\n", "ALL_SUBSETS = [f\"p{i}\" for i in range(10, 20)]\n", "print(\"Ready.\")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## 1. Parser — ALL-CAPS header detection\n", "\n", "Quy luật: mọi section header trong MIMIC-CXR đều **VIẾT HOA TOÀN BỘ** và kết thúc bằng `:` \n", "→ dùng regex detect tất cả, sau đó phân loại theo nhóm." ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Parser defined.\n" ] } ], "source": [ "# Regex: dòng bắt đầu bằng chuỗi ALL-CAPS rồi đến \":\"\n", "SECTION_RE = re.compile(r'^[ \\t]*([A-Z][A-Z ,/()\\.\\-]{1,70}?):\\s*', re.MULTILINE)\n", "\n", "# ── Nhóm IMPRESSION (nội dung kết luận) ─────────────────────────────────────\n", "IMPRESSION_KEYWORDS = {\n", " \"IMPRESSION\",\n", " \"CONCLUSION\",\n", " \"CONCLUSIONS\",\n", " \"FINDINGS AND IMPRESSION\",\n", " \"FINDINGS/IMPRESSION\",\n", " \"PROVISIONAL FINDINGS IMPRESSION (PFI)\",\n", " \"PFI\",\n", " \"WET READ\", # quick impression trước khi có final report\n", " \"RECOMMENDATION\",\n", " \"RECOMMENDATION(S)\",\n", " \"RECOMMENDATIONS\",\n", "}\n", "\n", "# ── Nhóm FINDINGS (mô tả hình ảnh) ──────────────────────────────────────────\n", "FINDINGS_KEYWORDS = {\n", " \"FINDINGS\",\n", " \"REPORT\",\n", "}\n", "\n", "# Patterns dạng view description (findings không tường minh)\n", "FINDINGS_VIEW_RE = re.compile(\n", " r'(VIEW|VIEWS|RADIOGRAPH|RADIOGRAPHS|CHEST|PORTABLE|FRONTAL|LATERAL|PA AND|AP AND|UPRIGHT|SUPINE|SEMI)',\n", " re.IGNORECASE\n", ")\n", "\n", "# ── Admin headers (bỏ qua khi fallback) ─────────────────────────────────────\n", "ADMIN_KEYWORDS = {\n", " \"EXAMINATION\", \"EXAM\", \"INDICATION\", \"INDICATIONS\",\n", " \"CLINICAL INDICATION\", \"CLINICAL HISTORY\", \"CLINICAL INFORMATION\",\n", " \"TECHNIQUE\", \"COMPARISON\", \"COMPARISONS\", \"COMPARISON EXAM\",\n", " \"COMPARISON FILM\", \"COMPARISON STUDY\", \"REFERENCE EXAM\",\n", " \"HISTORY\", \"PATIENT HISTORY\",\n", " \"REASON\", \"REASON FOR EXAM\", \"REASON FOR EXAMINATION\",\n", " \"TYPE OF EXAMINATION\", \"PROCEDURE\",\n", " \"NOTIFICATION\", \"NOTIFICATIONS\", \"ADDENDUM\",\n", " \"STUDY\", \"DATE\", \"CC\", \"NOTE\", \"COMMENT\", \"COMMENTS\",\n", " \"FINAL REPORT\",\n", "}\n", "\n", "\n", "def classify_header(h: str) -> str:\n", " \"\"\"Phân loại header vào: findings / impression / admin / view_desc / other.\"\"\"\n", " h = h.upper().strip()\n", " if h in FINDINGS_KEYWORDS or \"FINDING\" in h:\n", " return \"findings\"\n", " if h in IMPRESSION_KEYWORDS or \"IMPRESSION\" in h or \"CONCLUSION\" in h:\n", " return \"impression\"\n", " if h in ADMIN_KEYWORDS:\n", " return \"admin\"\n", " if FINDINGS_VIEW_RE.search(h):\n", " return \"view_desc\" # potential findings\n", " return \"other\"\n", "\n", "\n", "def parse_report(txt_path: Path) -> dict:\n", " \"\"\"\n", " Trả về dict:\n", " findings : str | None\n", " impression : str | None\n", " sections : list of (header, category, content)\n", " \"\"\"\n", " try:\n", " text = txt_path.read_text(encoding=\"utf-8\", errors=\"ignore\")\n", " except FileNotFoundError:\n", " return {\"findings\": None, \"impression\": None, \"sections\": []}\n", "\n", " matches = list(SECTION_RE.finditer(text))\n", " if not matches:\n", " return {\"findings\": None, \"impression\": None, \"sections\": []}\n", "\n", " sections = []\n", " for i, m in enumerate(matches):\n", " header = m.group(1).strip()\n", " start = m.end()\n", " end = matches[i + 1].start() if i + 1 < len(matches) else len(text)\n", " content = text[start:end].strip()\n", " cat = classify_header(header)\n", " sections.append((header, cat, content))\n", "\n", " findings = impression = None\n", "\n", " # Pass 1: tìm tường minh\n", " for header, cat, content in sections:\n", " if cat == \"findings\" and findings is None:\n", " findings = content or None\n", " elif cat == \"impression\" and impression is None:\n", " impression = content or None\n", "\n", " # Pass 2: fallback findings từ view_desc\n", " if findings is None:\n", " for header, cat, content in sections:\n", " if cat == \"view_desc\" and content:\n", " findings = content\n", " break\n", "\n", " return {\"findings\": findings, \"impression\": impression, \"sections\": sections}\n", "\n", "\n", "print(\"Parser defined.\")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## 2. Load & parse tất cả reports" ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Total studies to parse: 227,835\n" ] } ], "source": [ "# Lấy danh sách study từ split.csv để biết subset của từng study\n", "split_df = pd.read_csv(SPLIT_CSV)\n", "split_df[\"subset\"] = \"p\" + split_df[\"subject_id\"].astype(str).str[:2]\n", "\n", "studies = (\n", " split_df[[\"subject_id\", \"study_id\", \"subset\", \"split\"]]\n", " .drop_duplicates(\"study_id\")\n", " .reset_index(drop=True)\n", ")\n", "\n", "if SAMPLE_SIZE:\n", " studies = studies.sample(n=min(SAMPLE_SIZE, len(studies)), random_state=42).reset_index(drop=True)\n", " print(f\"Sample: {len(studies):,} studies\")\n", "else:\n", " print(f\"Total studies to parse: {len(studies):,}\")" ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Total studies parsed : 227,835\n", "Has findings : 155,460 (68.2%)\n", "Has impression : 192,008 (84.3%)\n", "Has both : 130,163 (57.1%)\n", "Has neither : 10,530 (4.6%)\n" ] } ], "source": [ "records = []\n", "header_counter = Counter()\n", "\n", "for _, row in studies.iterrows():\n", " sid = str(row[\"subject_id\"])\n", " stid = str(row[\"study_id\"])\n", " subset = row[\"subset\"]\n", " split = row[\"split\"]\n", " path = CXR_ROOT / \"files\" / subset / f\"p{sid}\" / f\"s{stid}.txt\"\n", "\n", " result = parse_report(path)\n", "\n", " for header, cat, _ in result[\"sections\"]:\n", " header_counter[header.upper()] += 1\n", "\n", " records.append({\n", " \"study_id\": stid,\n", " \"subject_id\": sid,\n", " \"subset\": subset,\n", " \"split\": split,\n", " \"findings\": result[\"findings\"],\n", " \"impression\": result[\"impression\"],\n", " \"n_sections\": len(result[\"sections\"]),\n", " \"section_headers\": \"|\".join(h for h, _, _ in result[\"sections\"]),\n", " })\n", "\n", "df = pd.DataFrame(records)\n", "df[\"findings_len\"] = df[\"findings\"].str.split().str.len()\n", "df[\"impression_len\"] = df[\"impression\"].str.split().str.len()\n", "\n", "total = len(df)\n", "has_f = df[\"findings\"].notna().sum()\n", "has_i = df[\"impression\"].notna().sum()\n", "has_both = (df[\"findings\"].notna() & df[\"impression\"].notna()).sum()\n", "has_neither = (df[\"findings\"].isna() & df[\"impression\"].isna()).sum()\n", "\n", "print(f\"Total studies parsed : {total:,}\")\n", "print(f\"Has findings : {has_f:,} ({has_f/total*100:.1f}%)\")\n", "print(f\"Has impression : {has_i:,} ({has_i/total*100:.1f}%)\")\n", "print(f\"Has both : {has_both:,} ({has_both/total*100:.1f}%)\")\n", "print(f\"Has neither : {has_neither:,} ({has_neither/total*100:.1f}%)\")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## 3. Thống kê tất cả section headers" ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Distinct section headers: 485\n", "\n", "=== Top 50 headers ===\n", " header count category pct\n", " IMPRESSION 186785 impression 81.982575\n", " COMPARISON 153760 admin 67.487436\n", " INDICATION 152744 admin 67.041499\n", " FINDINGS 149004 findings 65.399960\n", " EXAMINATION 93537 admin 41.054711\n", " TECHNIQUE 80967 admin 35.537560\n", " HISTORY 45406 admin 19.929335\n", " WET READ 17459 impression 7.663002\n", " COMPARISONS 8637 admin 3.790901\n", " CLINICAL HISTORY 7085 admin 3.109707\n", " REASON FOR EXAMINATION 5827 admin 2.557553\n", " NOTIFICATION 5725 admin 2.512783\n", " REASON FOR EXAM 4359 admin 1.913227\n", " CLINICAL INFORMATION 3999 admin 1.755218\n", " EXAM 3883 admin 1.704304\n", " STUDY 2768 admin 1.214914\n", " CLINICAL INDICATION 1930 admin 0.847104\n", " CONCLUSION 1796 impression 0.788290\n", " CHEST, TWO VIEWS 1724 view_desc 0.756688\n", " RECOMMENDATION(S) 1702 impression 0.747032\n", " TYPE OF EXAMINATION 1670 admin 0.732987\n", " PA AND LATERAL VIEWS OF THE CHEST 909 view_desc 0.398973\n", " FRONTAL AND LATERAL CHEST RADIOGRAPHS 600 view_desc 0.263348\n", " PA AND LATERAL CHEST RADIOGRAPHS 524 view_desc 0.229991\n", " PORTABLE CHEST 483 view_desc 0.211996\n", " PA AND LATERAL CHEST RADIOGRAPH 391 view_desc 0.171615\n", " REFERENCE EXAM 345 admin 0.151425\n", " CHEST, PA AND LATERAL 325 view_desc 0.142647\n", " TWO VIEWS OF THE CHEST 319 view_desc 0.140014\n", " FRONTAL AND LATERAL VIEWS OF THE CHEST 300 view_desc 0.131674\n", " PATIENT HISTORY 249 admin 0.109290\n", " PORTABLE AP CHEST RADIOGRAPH 239 view_desc 0.104900\n", " FRONTAL CHEST RADIOGRAPH 231 view_desc 0.101389\n", " CHEST 203 view_desc 0.089100\n", " PROVISIONAL FINDINGS IMPRESSION (PFI) 199 findings 0.087344\n", " ADDENDUM 184 admin 0.080760\n", " PORTABLE FRONTAL CHEST RADIOGRAPH 170 view_desc 0.074615\n", " COMPARISON EXAM 162 admin 0.071104\n", " REPORT 161 findings 0.070665\n", " CHEST RADIOGRAPH 137 view_desc 0.060131\n", " CHEST, AP 111 view_desc 0.048719\n", " DATE 108 admin 0.047403\n", " ONE VIEW OF THE CHEST 97 view_desc 0.042575\n", "UPRIGHT AP AND LATERAL VIEWS OF THE CHEST 92 view_desc 0.040380\n", " COMMENT 88 admin 0.038624\n", " CHEST TWO VIEWS 88 view_desc 0.038624\n", " FINDINGS AND IMPRESSION 87 findings 0.038186\n", " CHEST, SINGLE AP PORTABLE VIEW 82 view_desc 0.035991\n", " FRONTAL AND LATERAL CHEST RADIOGRAPH 74 view_desc 0.032480\n", " RECOMMENDATIONS 72 impression 0.031602\n" ] } ], "source": [ "# Bảng đầy đủ tất cả headers + category\n", "header_rows = []\n", "for h, cnt in header_counter.most_common():\n", " header_rows.append({\n", " \"header\": h,\n", " \"count\": cnt,\n", " \"category\": classify_header(h),\n", " \"pct\": cnt / total * 100\n", " })\n", "\n", "header_df = pd.DataFrame(header_rows)\n", "\n", "print(f\"Distinct section headers: {len(header_df)}\")\n", "print(\"\\n=== Top 50 headers ===\")\n", "print(header_df.head(50).to_string(index=False))" ] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "=== Tổng count theo category ===\n", "category\n", "admin 573693\n", "impression 207894\n", "findings 149510\n", "view_desc 8634\n", "other 161\n" ] }, { "data": { "image/png": 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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Phân bố theo category\n", "cat_summary = header_df.groupby(\"category\")[\"count\"].sum().sort_values(ascending=False)\n", "print(\"=== Tổng count theo category ===\")\n", "print(cat_summary.to_string())\n", "\n", "fig, axes = plt.subplots(1, 2, figsize=(13, 4))\n", "\n", "# Bar: category totals\n", "colors = {\"findings\": \"#4C72B0\", \"impression\": \"#DD8452\",\n", " \"admin\": \"#8c8c8c\", \"view_desc\": \"#55A868\", \"other\": \"#C44E52\"}\n", "cat_colors = [colors.get(c, \"gray\") for c in cat_summary.index]\n", "bars = axes[0].bar(cat_summary.index, cat_summary.values, color=cat_colors)\n", "axes[0].bar_label(bars, fmt=\"%d\")\n", "axes[0].set_title(\"Tổng số lần xuất hiện theo category\")\n", "axes[0].set_ylabel(\"Count\")\n", "axes[0].tick_params(axis=\"x\", rotation=20)\n", "\n", "# Bar: số header distinct mỗi category\n", "cat_distinct = header_df.groupby(\"category\").size().sort_values(ascending=False)\n", "bars2 = axes[1].bar(cat_distinct.index, cat_distinct.values,\n", " color=[colors.get(c, \"gray\") for c in cat_distinct.index])\n", "axes[1].bar_label(bars2, fmt=\"%d\")\n", "axes[1].set_title(\"Số header phân biệt mỗi category\")\n", "axes[1].set_ylabel(\"Distinct headers\")\n", "axes[1].tick_params(axis=\"x\", rotation=20)\n", "\n", "plt.suptitle(\"Section Header Categories\", fontsize=13)\n", "plt.tight_layout()\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 8, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\n", "=== [findings] Top headers ===\n", " header count pct\n", " FINDINGS 149004 65.399960\n", "PROVISIONAL FINDINGS IMPRESSION (PFI) 199 0.087344\n", " REPORT 161 0.070665\n", " FINDINGS AND IMPRESSION 87 0.038186\n", " FINDINGS/IMPRESSION 47 0.020629\n", " FINDING 8 0.003511\n", " FINDINGS/ IMPRESSION 1 0.000439\n", " REFERENCE FINDINGS 1 0.000439\n", " FINDINGS AND IMRPESSION 1 0.000439\n", " TECHNIQUE AND FINDINGS 1 0.000439\n", "\n", "=== [impression] Top headers ===\n", " header count pct\n", " IMPRESSION 186785 81.982575\n", " WET READ 17459 7.663002\n", " CONCLUSION 1796 0.788290\n", " RECOMMENDATION(S) 1702 0.747032\n", " RECOMMENDATIONS 72 0.031602\n", " PFI 39 0.017118\n", " RECOMMENDATION 30 0.013167\n", " IMPRESSIONS 5 0.002195\n", " FIMPRESSION 1 0.000439\n", " ADDENDUM IMPRESSION 1 0.000439\n", " ADDENDUM IMPRESSION IN 1 0.000439\n", " CORRECTED IMPRESSION 1 0.000439\n", "THE IMPRESSION SHOULD READ 1 0.000439\n", " IIMPRESSION 1 0.000439\n", "\n", "=== [view_desc] Top headers ===\n", " header count pct\n", " CHEST, TWO VIEWS 1724 0.756688\n", " PA AND LATERAL VIEWS OF THE CHEST 909 0.398973\n", " FRONTAL AND LATERAL CHEST RADIOGRAPHS 600 0.263348\n", " PA AND LATERAL CHEST RADIOGRAPHS 524 0.229991\n", " PORTABLE CHEST 483 0.211996\n", " PA AND LATERAL CHEST RADIOGRAPH 391 0.171615\n", " CHEST, PA AND LATERAL 325 0.142647\n", " TWO VIEWS OF THE CHEST 319 0.140014\n", "FRONTAL AND LATERAL VIEWS OF THE CHEST 300 0.131674\n", " PORTABLE AP CHEST RADIOGRAPH 239 0.104900\n", " FRONTAL CHEST RADIOGRAPH 231 0.101389\n", " CHEST 203 0.089100\n", " PORTABLE FRONTAL CHEST RADIOGRAPH 170 0.074615\n", " CHEST RADIOGRAPH 137 0.060131\n", " CHEST, AP 111 0.048719\n", "\n", "=== [other] Top headers ===\n", " header count pct\n", " REFERENCE EXAMINATION 8 0.003511\n", " CXR 8 0.003511\n", " PRELIMINARY REPORT 8 0.003511\n", " MAIN REPORT 7 0.003072\n", " REASON FOR THE EXAM 6 0.002633\n", " RESIDENT WET READ 5 0.002195\n", " COMPARISON STUDIES 5 0.002195\n", " REFERENCE EXAM 3 0.001317\n", " ADDENDUM INDICATION 3 0.001317\n", " OPINION 3 0.001317\n", " IMPESSION 3 0.001317\n", " TYPE OF EXAM 3 0.001317\n", " TIME 3 0.001317\n", "TYPE OF THE EXAMINATION 2 0.000878\n", " COMPARISION 2 0.000878\n" ] } ], "source": [ "# Top headers mỗi category\n", "for cat in [\"findings\", \"impression\", \"view_desc\", \"other\"]:\n", " sub = header_df[header_df[\"category\"] == cat].head(15)\n", " print(f\"\\n=== [{cat}] Top headers ===\")\n", " print(sub[[\"header\", \"count\", \"pct\"]].to_string(index=False))" ] }, { "cell_type": "code", "execution_count": 9, "metadata": {}, "outputs": [ { "data": { "image/png": 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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Top 20 headers — horizontal bar\n", "top20 = header_df.head(20).copy()\n", "top20_colors = [colors.get(c, \"gray\") for c in top20[\"category\"]]\n", "\n", "fig, ax = plt.subplots(figsize=(10, 7))\n", "bars = ax.barh(top20[\"header\"][::-1], top20[\"count\"][::-1], color=top20_colors[::-1])\n", "ax.bar_label(bars, fmt=\"%d\", padding=3, fontsize=8)\n", "ax.set_xlabel(\"Count\")\n", "ax.set_title(\"Top 20 Section Headers (tô màu theo category)\")\n", "\n", "from matplotlib.patches import Patch\n", "legend_elements = [Patch(facecolor=v, label=k) for k, v in colors.items()]\n", "ax.legend(handles=legend_elements, loc=\"lower right\", fontsize=9)\n", "plt.tight_layout()\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## 4. Tỉ lệ có/thiếu Findings & Impression" ] }, { "cell_type": "code", "execution_count": 10, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "=== Report completeness (full dataset) ===\n", " both : 130,163 (57.1%)\n", " impression only : 61,845 (27.1%)\n", " findings only : 25,297 (11.1%)\n", " neither : 10,530 (4.6%)\n" ] } ], "source": [ "# Tạo cột status\n", "def report_status(row):\n", " f = row[\"findings\"] is not None\n", " i = row[\"impression\"] is not None\n", " if f and i: return \"both\"\n", " if f: return \"findings only\"\n", " if i: return \"impression only\"\n", " return \"neither\"\n", "\n", "df[\"status\"] = df.apply(report_status, axis=1)\n", "\n", "status_counts = df[\"status\"].value_counts()\n", "print(\"=== Report completeness (full dataset) ===\")\n", "for s, c in status_counts.items():\n", " print(f\" {s:<20}: {c:>7,} ({c/total*100:.1f}%)\")" ] }, { "cell_type": "code", "execution_count": 11, "metadata": {}, "outputs": [ { "data": { "image/png": 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "fig, axes = plt.subplots(1, 2, figsize=(12, 4))\n", "status_order = [\"both\", \"impression only\", \"findings only\", \"neither\"]\n", "status_colors = [\"#55A868\", \"#DD8452\", \"#4C72B0\", \"#C44E52\"]\n", "vals = [status_counts.get(s, 0) for s in status_order]\n", "\n", "bars = axes[0].bar(status_order, vals, color=status_colors)\n", "axes[0].bar_label(bars, fmt=\"%d\")\n", "axes[0].set_title(\"Report completeness (count)\")\n", "axes[0].set_ylabel(\"Số report\")\n", "axes[0].tick_params(axis=\"x\", rotation=15)\n", "\n", "axes[1].pie(vals, labels=status_order, autopct=\"%1.1f%%\", colors=status_colors,\n", " startangle=140)\n", "axes[1].set_title(\"Report completeness (%)\")\n", "\n", "plt.suptitle(\"Findings & Impression Availability\", fontsize=13)\n", "plt.tight_layout()\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## 5. Breakdown theo Subset" ] }, { "cell_type": "code", "execution_count": 12, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "=== Count per subset ===\n", " total has_findings has_impression has_both has_neither\n", "subset \n", "p10 22197 14430 17840 12036 1963\n", "p11 23358 15856 19849 13295 948\n", "p12 22428 15527 18993 13000 908\n", "p13 22945 15654 19553 13202 940\n", "p14 22589 15437 19341 13085 896\n", "p15 23713 16083 19965 13378 1043\n", "p16 22151 15609 18534 12982 990\n", "p17 22695 15514 19212 12982 951\n", "p18 22929 15648 19525 13164 920\n", "p19 22830 15702 19196 13039 971\n", "\n", "=== % per subset ===\n", " has_findings has_impression has_both has_neither\n", "subset \n", "p10 65.0 80.4 54.2 8.8\n", "p11 67.9 85.0 56.9 4.1\n", "p12 69.2 84.7 58.0 4.0\n", "p13 68.2 85.2 57.5 4.1\n", "p14 68.3 85.6 57.9 4.0\n", "p15 67.8 84.2 56.4 4.4\n", "p16 70.5 83.7 58.6 4.5\n", "p17 68.4 84.7 57.2 4.2\n", "p18 68.2 85.2 57.4 4.0\n", "p19 68.8 84.1 57.1 4.3\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "C:\\Users\\admin\\AppData\\Local\\Temp\\ipykernel_6460\\723391630.py:1: DeprecationWarning: DataFrameGroupBy.apply operated on the grouping columns. This behavior is deprecated, and in a future version of pandas the grouping columns will be excluded from the operation. Either pass `include_groups=False` to exclude the groupings or explicitly select the grouping columns after groupby to silence this warning.\n", " subset_stats = df.groupby(\"subset\").apply(lambda g: pd.Series({\n" ] } ], "source": [ "subset_stats = df.groupby(\"subset\").apply(lambda g: pd.Series({\n", " \"total\": len(g),\n", " \"has_findings\": g[\"findings\"].notna().sum(),\n", " \"has_impression\": g[\"impression\"].notna().sum(),\n", " \"has_both\": (g[\"findings\"].notna() & g[\"impression\"].notna()).sum(),\n", " \"has_neither\": (g[\"findings\"].isna() & g[\"impression\"].isna()).sum(),\n", "})).reindex(ALL_SUBSETS)\n", "\n", "subset_pct = subset_stats.div(subset_stats[\"total\"], axis=0).mul(100).round(1)\n", "\n", "print(\"=== Count per subset ===\")\n", "print(subset_stats.to_string())\n", "print(\"\\n=== % per subset ===\")\n", "print(subset_pct[[\"has_findings\",\"has_impression\",\"has_both\",\"has_neither\"]].to_string())" ] }, { "cell_type": "code", "execution_count": 13, "metadata": {}, "outputs": [ { "data": { "image/png": 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"text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "fig, axes = plt.subplots(1, 2, figsize=(15, 5))\n", "\n", "# Stacked % bar\n", "status_per_subset = (\n", " df.groupby([\"subset\", \"status\"]).size()\n", " .unstack(fill_value=0)\n", " .reindex(ALL_SUBSETS, fill_value=0)\n", ")\n", "# Tỉ lệ %\n", "status_pct_subset = status_per_subset.div(status_per_subset.sum(axis=1), axis=0) * 100\n", "status_pct_subset = status_pct_subset.reindex(\n", " columns=[c for c in status_order if c in status_pct_subset.columns]\n", ")\n", "status_pct_subset.plot(\n", " kind=\"bar\", stacked=True, ax=axes[0],\n", " color=[status_colors[status_order.index(c)] for c in status_pct_subset.columns],\n", " width=0.75\n", ")\n", "axes[0].set_title(\"Report completeness (%) theo subset\")\n", "axes[0].set_ylabel(\"%\")\n", "axes[0].set_ylim(0, 105)\n", "axes[0].tick_params(axis=\"x\", rotation=0)\n", "axes[0].legend(loc=\"lower right\", fontsize=8)\n", "\n", "# Heatmap tỉ lệ % has_both / has_neither\n", "heatmap_data = subset_pct[[\"has_findings\",\"has_impression\",\"has_both\",\"has_neither\"]]\n", "sns.heatmap(heatmap_data, annot=True, fmt=\".1f\", cmap=\"RdYlGn\",\n", " linewidths=0.5, ax=axes[1], vmin=0, vmax=100,\n", " cbar_kws={\"label\": \"%\"})\n", "axes[1].set_title(\"Tỉ lệ (%) completeness mỗi subset\")\n", "\n", "plt.suptitle(\"Report Completeness per Subset\", fontsize=13)\n", "plt.tight_layout()\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 14, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "=== Completeness by split ===\n", " total has_findings % has_impression % has_both % has_neither %\n", "split \n", "train 222758.0 68.2 84.5 57.2 4.6\n", "validate 1808.0 65.9 84.5 55.3 4.9\n", "test 3269.0 72.3 70.7 51.7 8.7\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "C:\\Users\\admin\\AppData\\Local\\Temp\\ipykernel_6460\\2479082378.py:2: DeprecationWarning: DataFrameGroupBy.apply operated on the grouping columns. This behavior is deprecated, and in a future version of pandas the grouping columns will be excluded from the operation. Either pass `include_groups=False` to exclude the groupings or explicitly select the grouping columns after groupby to silence this warning.\n", " split_stats = df.groupby(\"split\").apply(lambda g: pd.Series({\n" ] } ], "source": [ "# Breakdown theo split (train/validate/test)\n", "split_stats = df.groupby(\"split\").apply(lambda g: pd.Series({\n", " \"total\": len(g),\n", " \"has_findings %\": g[\"findings\"].notna().mean() * 100,\n", " \"has_impression %\": g[\"impression\"].notna().mean() * 100,\n", " \"has_both %\": (g[\"findings\"].notna() & g[\"impression\"].notna()).mean() * 100,\n", " \"has_neither %\": (g[\"findings\"].isna() & g[\"impression\"].isna()).mean() * 100,\n", "})).reindex([\"train\", \"validate\", \"test\"])\n", "\n", "print(\"=== Completeness by split ===\")\n", "print(split_stats.round(1).to_string())" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## 6. Phân phối độ dài Findings & Impression" ] }, { "cell_type": "code", "execution_count": 15, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "=== Findings word count ===\n", "count 155460.0\n", "mean 49.1\n", "std 23.2\n", "min 1.0\n", "25% 33.0\n", "50% 45.0\n", "75% 61.0\n", "max 351.0\n", "\n", "=== Impression word count ===\n", "count 192008.0\n", "mean 26.4\n", "std 25.1\n", "min 1.0\n", "25% 6.0\n", "50% 19.0\n", "75% 40.0\n", "max 387.0\n" ] } ], "source": [ "print(\"=== Findings word count ===\")\n", "print(df[\"findings_len\"].describe().round(1).to_string())\n", "print(\"\\n=== Impression word count ===\")\n", "print(df[\"impression_len\"].describe().round(1).to_string())" ] }, { "cell_type": "code", "execution_count": 16, "metadata": {}, "outputs": [ { "data": { "image/png": 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kBTJUYkBBFpVMKyxtWzQHz5o1a+ySSy7x4Mx///tfr2e9adMmn1BUWT+qRx1JQRtRO1G7qlWrFqhdsC6Sgj5BOwCIpVVrNtmI5z/15c0b1oTWPz7lC6tUtYYvX9m7tdWI8u8dAABI/P4NAAAAACRUwEedn4kTJ4Z+b9KkiZ1zzjl22WWXWaxpclJZvHixB320Lzn++OO99rQyfs4+++x8txOeQZNXNk3wnEYTFqRdLDRt2tTnEYqnYKRnUJIOiak8n6fU5VusYsUK+Tf0715K6bb1lhb3Y8jc9n8l1ypUyAitV3nL6tWrl8vPSWGU5+9TMuE8JQfOU3Ioi+dpx44dNn9+/qVZi6sk+zcAAAAAEGv/TIYTI506dbL999/f4iHI2lG5tiDYE9C8Piqn8Nlnn/ncPSqrEClYF4zOK267oFxGtNF+AJDoNm7caPfff78/tAwAAEq2fwOg7OOaGwAAJHXA57333rO3337b4iGYa6J27do5ngvWqfxavXr1bOXKlTnaaC4eCebtKUw7lW1bv359jmDP6tWrQ3P+AEAyUfai/l3To6TmRQAAINnEs38DoOzjmhsAACRVSbdIyobJyPi/0kOxtPPOO3vQ56effsrx3O+//+4/d999dy9dMXXqVM/KCZ97Jyht0bx5c/+pdrNmzfIScfXr18+znSxYsMCOOOKIXNsBQLxUqFTVTjx/eGg5UK9uznnICkr/PqocZrAMAABKtn8DoHBq1Khhb7zxRmg5GXDNDQAAkjrD55prrvFgy/jx46NmzxTXSSedZL/++qu9/vrr2eb2mTBhgmf5tG7d2rp06eLrXnjhhWxp1JMmTfJycA0aNPB1nTt39vl3nn322Wy1wXXsyu7RtqRdu3ZeTm7cuHHZjkW/6+KtY8eOMX+dABAuLT3D9ty3lT+0HMhIT7MlK9fbVz/+me9D7bJtMy3N9tlnH3/Ee+4wAACSVbz7NwAKN8eW+t96aDkZcM0NAACSOsPn5Zdf9iDInXfe6Q+Nhos2clyBlo8//rjQ27/44ovtzTfftEGDBlmfPn1sjz32sFdeecWzfjQPhfbXtm1bf9x77732xx9/WMOGDe2ll16yZcuW2bBhw0LbatSokfXq1csDPioF17JlS5sxY4bNmzfPHnzwwdBIPo0cuvTSS337AwYM8ADQnDlzbObMmX4ctWrVKua7BgBFt2rNZhs1Kf9JrAf0aGl71GXOMQAAEql/AwAAAAAJG/BZsmSJZ8PoEQ/VqlXzbJ6HHnrIR9qtW7fOJ1F99NFHrX379qF2el5Bm2nTpvn8O40bN7Ynn3wylLUTuPnmm61OnTo2efJkmz59ugeHRo4c6dk/4S688MJQls+7775re+65pw0dOtR69+4dl9cJAOF2bN9mf/z6lS/vvnfzbFk+RZWZmWl//fVXqGRmampMEz4BACgT4t2/AVBwquSh/rgcffTRSZHlwzU3AABI6oDP7NmzLd6UUaNgix65qVq1qg0ZMsQfeUlPT7eBAwf6Iz+a6yKY7wIAStLWzRts+pODffnsmyZa5Wo1i71NBcNHjx7ty8pW1L+bAACg5Ps3AApmzZo1dtxxx/nyihUrrG7dugn/1nHNDQAASlpch3SvX7/e/vzzT9u+fXs8dwMAAAAAcUf/BgAAAEC5yfARBXfGjBljkyZNsqVLl4bWN2jQwE455RTr37+/Z9YAAEpPlSpV7JZbbuEUAACQD/o3ALjmBgAAySI91jV1zz//fPv000+tYsWK1qRJE9tll1089frbb7/1uXXef/99e+aZZywtLS2WuwYAFIImlwYAAHmjfwOgOLjmBgAASR3wefrpp23u3Ll20kkn2Q033GC1a9fOVv7g3//+t73yyis2btw469evXyx3DQAAAAAxRf8GAAAAQLmdw2fq1Km2//772/Dhw7MFe6RatWp255132n777Wcvv/xyLHcLACikbdu22SeffOIPLQMAgJzo3wAoDq65AQBAUmf4LF682Hr37m2pqdHjSCrjdsQRR9jEiRNjuVsASWDJyvW2as3mPNvsV79miR1PeVOvbtUcJWr+97//+fKBBx5oGRkZpXRkAAAkLvo3AIqDa24AAJDUAZ/KlSvbn3/+mWebv/76yypUqBDL3QJIAgr2jJo0P8829ww8usSOJ5mkpqXb7g1bhJaLIiM9LVvQbevWLVZnl3q+/O1vq61ChU2htrVrVLI96laLybEDAJDM6N8AiUMDlI455pjQcjLQoNe99tortAwAAJBUAZ9DDjnEZs2aZd9++601adIkx/PffPONvfHGG9amTZtY7hYAyrSKlatZtwvvj0PQraH//1dTF2ZrN6BHSwI+AADQvwESSs2aNe3tt9+2ZFKpUiXmLwYAAMkb8Ln44ovt3Xfftb59+9o555zjAaDq1avb8uXL7bPPPrPnn3/eMjMz7ZJLLonlbgEAAAAg5ujfAAAAACi3AZ8WLVrYiBEj7MYbb7RHHnnEUlJSQs9lZWV58Oeee+7xdgAAAACQyOjfAAAAACi3AR/p2LGjHXHEEV7a7bvvvrP169db1apVvcSbnqtWjXkhAKAwtmxaZzOeutGXTzjvLqtYuXqx38CUrO1WY/uPvrwmfV/LSon5fw4AACgT6N8AieHvv/+2Ll26+PLMmTOtVq1alug2b95sU6dO9eVu3bp5iTcAAIB4issdPgV1unfvHo9NA0C5k7ljh634/dvQciykWJZVzvzLl9daI8sKe65e3aox2QcAAGUF/Rug9G3fvt0++eST0HIy2LFjhy1c+M98mSeeeGJpHw4AACgH4hLweeWVV2zatGn27bff2rp163zkzUEHHWSnnXaaHXPMMfHYJQCgELIs1dal1Q8th8tIT7MlK9fbqjWb891O7RqVbI+6ZG4CAMo2+jcAiiIjI8PatWsXWgYAAEiqgM/WrVvtoosuso8++sjn7KlRo4Y1aNDA1q5da6+//rq98cYbnvlz9913x3K3AIBCykpJs/XpDXJ9XsGeUZPm57udAT1aEvABAJRZ9G8AFEeFChUY9AoAAEpU9mHdxTR69Gj78MMPvc61gjsff/yxvfrqq/buu+/am2++6es1Ou65556L5W4BAAAAIOZKon/z5Zdf2gUXXGCtW7e25s2b+wA5bTNyHpD77rvP2rdv75UTevXq5ccVrXzUmDFjrFOnTtaiRQufM2TGjBlR9ztp0iTr2rWrb69z5842fvz4qO30Ok899VRr2bKl7/+RRx5JmnJaAAAAQHkT04CPyrgdcMAB9tBDD1n9+v+UCgrsscce9uCDD9p+++1nL7zwQix3CwAAAAAxF+/+zU8//WR9+/a17777zvr372/XXXedVa5c2QYPHmxPP/10qN0111xjTz31lHXo0MGf27Ztm7f/9NNPs21v+PDhHhhq1aqV3XjjjVa7dm276qqrPEgVbuzYsXbTTTf5a7r++uutSZMmdvvtt9tjjz2WrZ2CXAMGDLAqVarYtddea23btvWAj9oCAAAAKOMl3f78808fHZaaGj2OlJ6ebkceeaS9+OKLsdwtAKCQUrK22S5bP/PlFRUOsawUaooDAFDS/RsFaLTtiRMn2q677urr+vTpY2eeeaaNHDnSevbs6RlAs2bNshtuuMH69evnbZQFpOydu+66y6ZMmeLrfv31Vxs3bpwHkIYMGeLrTj/9dN/esGHDPOtH5aVUbnvEiBEePBo1apSlpKRY7969PTCkjCb9jQJFyhZSKe4DDzzQg0/B/CM77bSTPfHEE77dxo0b86EB8rBx40Z7+OGHfXngwIEePAUAAEiaDB+NbluwYEGebX788Ufbe++9Y7lbAEAhpfh/AHb4Q8sAAKBk+zcKqMydO9ezZoJgjygAdPzxx/uN4oULF3qWkYItCv4EdNO4R48e9vXXX3ugR6ZPn26ZmZkeiAmkpaX57ytXrvR9yezZs33bCiop2BNQoEil4xRcknnz5tmSJUt8v+GTzaud5mvNrVQcgP+j74q+V3poGQAAIKkCPkrzV8fgzjvvtHXr1uV4XvWkP/roIx89BgAomAqVq1m3ix70h5ZjIdPS7M+M5v7QclHVq1s1JscDAEAiimf/RoGdqVOnehm3SKtWrQoFbBRwatiwYY7MAGXeSBCQ0s9q1ap52/zaSbNmzYrUTsGpunXr5hsIA2KtZs2a9t577/lDy8mgUqVKdu655/pDywAAAElV0m3y5Mk+uk0Tfr788sue4q8OgUazaPSZRpapo6ISAnoENLIsKEUAAMguLS3ddt87+82WYktJtW0pOxV7MxnpabZk5XpbtWZzvm1r16hke9SNTcAKAICSEM/+jdpEzgskyr7RfrVdzR+0fPlya9GiRY52u+yyi/9cunSp/1S78Eyh3NqtWLHCbzxH3jCvWLGirwvfnuy2225Rtxm0iwVlMoVnG8XDli1b/KfOW1E1aNDAUjMzbcvWf7aVF2VbKUi4aNGiIu8POdWqVct/fv/99zE/v/H27bfflvYhJLVkOMcoHs5x2cb5Lfs4x/FRlAzhmAZ8NEItsGHDBvv8889ztNF6XdCHi/fFPQAgfhTsGTVpfr7tBvRoScAHAJBUSrp/ow6d5t9RIGnAgAEehNH2K1eunKNtkC2wadOm0HFUrVq1QO1yyzTQ/sLbhf99ZLsgCwkAAABA4ohpwIcRKwAQezu2b7XFP3zmy/X3O8TS0isUf6NZmZaetdEXt6dU8YwfAABQev0bBXuGDh3qc/EcdthhdskllxTo78KDS3kFmoLntJ+Ctstrm7EctNe0aVMvXxdPQVZAULquqDatSrWKFSoWqGRf1erVi70/ZB85/Prrr/typ06dPPAY6/Mba5qrS1l1QWZcvD/nZVminmPEDue4bOP8ln2c4/hdS8yfn/8g67gFfACULwUt5bVf/eSosZ2otm7eaK89e4svn33TRKtcrfgBn1TbYXW3feHLyyscZpmxndINAAAUwrZt2+z666+3V1991cu3Pfroo5aRkeHPqbSbSshFCtZp3p5YtAtuqIe3C/4+cv6g8HZASVm7dq1169bNlxVE0VxSiU7fn8cff9yXBw0aFDULDwAAIJbiEvD58ccfvca1RsStWbPGJk2aZG+99ZYv6wJNo50AlJ9SXvcMPLpEjgeFk2WU0wQAoLT7NyqhNnDgQJ+IXpk9CvaEB1Pq1avnJd4iBVkDwbw9ajd37twCtdM+169fn20/CuKsXr06NOeP2gV/X7t27Rzb1HxGAPLH/Q8AAJDUAR+NXnnooYc83Sg81f+TTz6xZ555xlOw9XwwYg0AUPIyUzJsWcV/8dYDAFCK/Rtl9lx22WU2Z84ca9++vW8nvExVUL5IcwkpUyB8Pp2gbEbz5s1D7WbNmmWLFy+2+vXr59lOFixYYEcccUS+7bS+SZMmoXbLly/3AFSPHj0K/XqB8kYZPTfffHNpHwYAAChHYppq89prr9kDDzzgZQiefvppO/fcc0PPnXHGGfavf/3LR8JNmDAhlrsFAAAAgJiLd/9m5MiRHuw59thj7eGHH84R7JEuXbrY1q1b7YUXXgit27hxo2cZ6bgaNGjg6zp37uzBqGeffTbUTkGq8ePHe3ZP69atfV27du2scuXKNm7cuGz70e8KKHXs2NF/b9Wqlf+dXtv27duztdN+unbtWqTXDAAAACBJMnzUCVKHY+zYsVahQgX77LN/JhmXvfbay0fHqeSByiGcc845sdw1AAAAAFiy9G9UFk3bT09Pt6OOOspmzJiRo82RRx5pbdu29ce9995rf/zxhzVs2NBeeuklW7ZsmQ0bNizUtlGjRtarVy8P+GzYsMFatmzp25w3b549+OCDoQykGjVq2KWXXmr333+/DRgwwANACjrNnDnT5xipVatWqAzV4MGD7eqrr7Z+/fr561RWkPatYNe+++5bjHcWAAAAQMIHfL777ju/+FdnKJq0tDQ7+uij7cUXX4zlbgEAhZW1w6ruWOaLG9J2M0tJ4z0EAKAE+zeff/65l3ST22+/PWqbMWPG+Jw6KvWmoM20adN8/h3Nn/Pkk0+GsnYCKh1Vp04dmzx5sk2fPt2DQ8oiUvZPuAsvvDCU5fPuu+/annvuaUOHDrXevXtna3fiiSd6No/mFbrjjjs84+fyyy/3vweQP33Hg7m1Dj30UErbAwCA5Ar4qMOj0WR50cSmagcAKD2plmk77fjVlzel7WKZxr/LAACUZP9GpdoUUCroPCBDhgzxR16ULTRw4EB/5Kdv377+yM8JJ5zgDwCFp3KMb7zxhi8fdNBBBHwAAEByzeGjCT5nz55ta9eujfr8n3/+aW+++aY1a9YslrsFgDItNS3d6u9/qD+0HAtZlmKbU2r6Q8sAACAn+jdA4lBZQgVK9QhKFCY6BYNV/lAPBr4CAICky/BRav95551nffr08VFlCvDIkiVL7KuvvvIyBAoGhU92CgDIW8XK1eyEc++K6duUlZJuf1c4kLceAIA80L8BEkfNmjXtf//7nyWTSpUq+f0RAACApAz4aFJR1Z9WfecrrrjC12VlZVnHjh2zTfypOtcAgPKlXt2qpX0IAAAUCv0bAAAAAOU24COnn366B3T++9//2tdff23r1q2zKlWq+MSi3bp1s7322ivWuwQQQ0tWrrdVazbn226/+jV531EoGelpBf581a5RyfaoW413GABQ6ujfAAAAACiXAZ/hw4fbwQcfbJ06dfLyBwCSj27Gj5o0P9929wwkU6+kbN641qaNudaXT7rgXqtUZadibzMla7vV3P69L69O399LvCXS52tAj5YEfAAApY7+DZA4Vq1aZe3bt/flt956y2rXrm2JbvPmzTZlyhRfPvXUU73EGwAAQDzF9A7fCy+8YGvWrPGADwAgNrIyM23Vsp9Dy7GQYllWKfPv0HJWTLYKAEDZQv8GSBw7duywL7/8MrScDHScP/zwQ2gZAAAgqQI+Kt2WkZERy00CAOIg01JtbdpeoWUAAJAT/RsAxVGhQoXQnMZaBgAAiLeY3uW75pprbOrUqTZ+/HhbuXJlLDcNAIillDTbkL6nP7QMAAByon8DoDg0ILZNmzb+YHAsAABIugyfl19+2WvS3nnnnf7QBU20GrUpKSn28ccfx3LXAAAAABBT9G8AAAAAlNuAz5IlS6xy5cr+AAAAAIBkRv8GAAAAQLkN+MyePTuWmwMAxElq1jbbZeunvryiQmvLTGH+NQAAItG/AVAcGzZssBEjRvjylVdeaVWrVuUNBQAAyRPwAQAkjxTLtERVry6dYQAAACS/7du3l/YhAACAcoSADwAkuAqVq9mpl40KLcdCpqXZyoyDQsuJJiM9zZasXG+r1mzOt23tGpVsj7qxeV8AAACQmGrWrGmffvppaDkZaE7jCy64ILQMAAAQbwR8ACDBpaWlW9099o/tRlNSbXtKYgdJFOwZNWl+vu0G9GhJwAcAAKCMy8jIsEMOOcSSSVpamtWrV6+0DwMAAJQjqaV9AAAAAAAAAAAAACgeMnwAIMHt2L7Vfl34oS/v3fRIS0uvUPyNZmVaRtZ6X9ymTJ8U4v8AAABIXFu2bLGpU6f6crdu3axixYqW6Hbs2GFLly71ZWX6KOMHAAAgngj4AOVAQedC2a9+ctTCLm+2bt5osybc6ctn3zTRKlcrfsAn1XZYnW1f+fLyCodZJgmfAAAASGBr1661nj17+vKKFSusbt26lug2b95sTz31lC8PGjTIqlatWtqHBAAAyri4BHw2bNhgb7zxhn377be2adMmn1Bxv/32s/bt23OBAyTwXCj3DDy6RI4HpS/LzDItLbQMAAByR/8GQFGkpKSEMpG0DAAAkHQBn9mzZ9sNN9zgo2+ysv7vNqIubnbaaScbNmyYB34AAKUnKyXDllc8glMAAEA+6N8AKKoqVarY9ddfzxsIAABKTKEmbQhqz0bWpH3yySd9ecGCBXb55Zd7bd1zzz3XRo0aZRMnTvTnL7zwQm975ZVXeuZPLCxZssRatWqV4wJKadP33XefB5YOOugg69Wrl3344YdRj33MmDHWqVMna9GihdcBnjFjRtR9TZo0ybp27erb69y5s40fPz4mrwEAAABA6Ui0/g0AAAAAlFjAZ8CAAfbKK6+Efl++fLn16dPHxo0b57+PHj3aJyF8/vnn7brrrrMOHTpY8+bNrU2bNnbVVVfZ2LFjvd3jjz9uxaXsoRtvvNHLK0S65pprvE6u9j948GDbtm2b9e/f3z799NNs7YYPH+6BIQWNtK3atWv7cb766qvZ2um4b7rpJqtfv74Hl5o0aWK33367PfbYY8V+HUA0DRo08AcAAADiJ5H6NwAAAABQoiXdtm7d6uXaNNJtyJAhdvLJJ/v6IMPms88+s44dO1rTpk2j/v2BBx7oz3/88cfFPnBl2Gh/kZTJM2vWLD/Ofv36+bru3bt79s5dd91lU6ZM8XW//vqrd+T69u3rr0VOP/107+Cp7JyyfipUqOCl6UaMGOGdO43oU2m63r17ewdPHUD9jQJFQCwsWbne59vJzMz031OXb4narnaNSrZH3Wq86SiylKwdVnXHP6OaN6TVs6yUf+bzAQCgPEmk/g2AsvlvzEcffeTLRxxxhN9jAAAASJgMH41gO++88+y///2v/7569Wpr166dlziTjRs3Wp06dfLcxs477+xBlOJYtGiR3X///XbZZZfleG7atGmWkZFhPXv2zFY3t0ePHvb11197oEemT5/uN9UV4Alo9J5+X7lypc2dOzdUs1uv68wzz8w2yaICRSodp+ASECsK9oyaNN9GPP+pP7Qc7aF2QHGkWKZV37HIH1pOZvXqVs3zeTLmAACJ3r8BUDap2shbb73lDy0DAAAkVMBHnZ1rr73WL1ZE2S0qgXDWWWeFbqopwybIToikGtca3bLnnnsW+YC1bY24a9y4sZ1zzjk5ntfovIYNG3qQJ3L0XfB88LNatWreNr920qxZszzbAUC8pKZn2N4HtPGHlmMhy1Jsc2ptf2g5mWWkp3l23Fc//hn18fMfm/yhNgAAJFr/BkDBKDtG1Tv0SJZMGQ0qVUl4PbQMAACQUCXdAgqUyB133GFHHnmkPfroo/77SSed5OXPbr75Zp/zJjzo8vfff9vdd99tP/zwg098WpxReAqyqCOWmpozXqW62y1atMixfpdddsk2Mava7brrrvm2W7FihVWqVMlq1qyZrV3FihV9XbSJXotq4cKF2bKI4kETzoqynZBYdENBNxO2bNnqc1SJlqNRu3Xr1nm2W2G2my/fb1bptS3t/Re2rbe0+B9DSoa163lj6OnQ+mK+rmXW6J+FrbqJtTWx3ttCtl21ZpM9MH5uLk//83266sxDbadKWQX63qDk8d+n5MB5Sg5l8TwF/5bHS2n2b8JpLiD1d95///0czz3wwAO5ziGq6gQ77bRTKAil+UwnTpxoy5Yts7333tsuvvhiO+GEE3L83aRJk+yZZ56xxYsX22677WZnn312tgoIgTfffNPLW//8889Wq1YtO+2003yb6elF6k4CRVKjRg17+eWXk+rd072EXr16lfZhAACAcqTYV+jqOKgWragcwrvvvmuTJ0+2GTNm2AEHHGDVq1f34IpKqW3atMkOPvhgO//884u0L3Uw1OG64oorbJ999gl1ZsNt2LDBKleuHPVCS3QMQbuqVasWqF2wLpKCPkE7AAAAAMmvJPs34d555x0bOXKk39SO5vvvv7f69evbwIEDczwX3v8ZPny4B41OOeUUa9mypc2cOdPnH9UAoK5du4baqY3mOD322GM9yKNMpdtvv93Wr19vF110UajdG2+84fts3bq1Z0N999139sgjj/jAOLUHAAAAkDhiMiSrdu3a/lNp1RohNmbMGM/A0SSnAZU5UKfjggsuKFL6tUaqaUJVTZh67rnnFvlYwzNo8sqmCZ7TaMKCtIsFvbZ4p3kHIz2DknRILKnLt1jFihVCWQ1ajtouNdVvNhT0PAbbzZd/nlNKr21p77+wbb2lld4xJMJ7kARtg+9TYb83KFn89yk5cJ6SQ1k8T+oLzJ8/v8T2VxL9m4D6G+PHj7dhw4blOceHAj4HHXSQnXzyybm2URBq3LhxPt/okCFDQmXqFNDR9jt16uTHqjmHNJCuQ4cOnrmjPk3v3r09MDR69Gj/G70Het+VxaTP0tNPP+1zpYqyiZ544gnfrkptAwAAAEgMMc/BVwdiwIAB/lB2jEaIKZMmKJNQVCpLoFJuzz77rE+mKkGHaOvWrbZq1Srfh8osbN6cc0L7YF1wHMVtJ8owKu7rAoD8bN641l4Z/U+pmO6XjrRKVf4p2VIcKVnbrda2b33574wmlpVCSRYAAEqyfxNQuacvvvjCjjrqKC8Tp+yhSNqnSkmfeuqpeW5r+vTpnskTXpZNA8r0+6BBg7z0W5s2bWz27Nm2ceNGO/PMM7MNYFOgSJlMs2bNsp49e9q8efNsyZIlnvETBHuCdgqCqS0BH5QU9fmD7DtlpAWB2USmewkvvvhi6LueW/UQAACAWMk5CU4MqSOkeW7++usv7xwVh0opbN++3Tslqqutx9FHHx3q2Oj3V1991erVq2crV67M8fcqOSDBvD2FaadSDepkRQZ7FHgK5vwBgHjJysy0NX8t8YeWYyHFsqxi1hp/aBkAAJRs/yagQI5KoyljJlrJafnxxx89E6hRo3/m31P/RIGdSBogp0BUw4YNs60Psr30fPjPZs2aFamd+kp169YNPQ+UBGWcac4sPbScDHScyrzTI1mOGQAAJLeYDOnWCDHVdj7nnHOsSZMmvk4dEk0s+txzz/moFpXSOe644+zWW2/1iT4La/DgwV56IJwyfC688EIfDae62fvuu6+XWZg6darvM3z0TFDaonnz5qHOjEauaYJS1cLOq52oMxOMJorWDgCSSaal2pr0hqFlAABQsv2b8H3lVxJO5dzkvffe8zl6/vjjD69EoPJu6icFc/goOygYuBYuGKSm4FIwyE19JQWvIuco1bqgXZBttNtuu0XdZtCuuBYuXBjTUtnRBPO/Bv24omjQoIGlZmbalq0555KNpIDcunXrbNGiRUXeH3Jm+AS+/fbb0GDNWJ3feFCQR3NpyU8//RT3Eu5lWaKeY8QO57hs4/yWfZzj+FAfpMQDPrfccotNnDjRl9u1axfqED344IOe5q8L93/961/+8/XXX/fRaVOmTCl0nevIUWXhHySNLtM+pEuXLjZp0iR74YUXrF+/fr5O5Qq0rkWLFn6RLp07d/ZJUVUi7qabbgpdjKl+tjpJmpQ0eE3qQKkWdnjAR7+rk9SxY8civW8AUKpS0mxjWj1OAgAApdS/CRTk74KAz1dffWWXXXaZZ/G888479vzzz/tN5LFjx3oASllH0bKEgoFwygwStcuttJSCPuHtwv8+sl34DXgAOSnAo4GpAAAAJaVYAR+NRnvppZfsgAMOsGuuuSYUJNFIMM25o07QHXfcYT169PD1b775pte+VpClf//+Fg9t27b1x7333usj31TOQMe4bNkyn6g0oHIIqqGrY1FHRqNuVINadarVmQtqVNeoUcMuvfRSu//++/3Y1embM2eOzZw50+tgF2c0HwAAAIDEkYj9G1H/pnr16nbBBRd4Zk8w0E19kSeffNKzkTSgTfLKlAme00jBgrbLa5uxyspp2rRp3DMfgqyAoIJDUW1alWoVK1TMt50CcFWrVy/2/vB/wkuyKxCrgZ+xPr9IXJzjso9zXLZxfss+znF8KEFl/vz5JRfwUdaMUv7VwQmftFTBEM23s9dee4U6Q9KhQwdr1aqVPx/PDtFDDz3kQZtp06b56DRNJKqOUNBhC9x8881Wp04dmzx5ss8DpOCQsn6CzlJAZeOCLB/NJbTnnnva0KFDrXfv3nF7DQCA2KpXN/q8CAAAJHr/5phjjvFHJM1vqn6OJrBXH0bBIJWbixSsC15Tbu2CKgrh7YK/D5ajtQMAAACQGIoV8Pnyyy894yXyQv+DDz7w0V7HHntsjr856KCDvCMVCyoj8N133+VYrzIGQ4YM8Ude0tPTbeDAgf7IT9++ff0BAGVBatY223XrJ768vMJhlpnyT1ZjWZaRnmZLVq63VWui3+AKV7tGJdujLjexAKC8Ke3+TWHtvPPOoRLWUq9ePZs7d26OdsFcJ8H8PmqngXHr16/P9loVxFm9enVozh+1C/6+du3aObapgXUAcqdqIvfdd58vq0JItJKLAAAACRPwWbNmTY5JQTU55WeffebLRx55ZM4dpqfbtm3birNbAACKRMGeUZPyT4Ud0KMlAR8AKIcStX+juUlVIkxl5cL9/PPP/rN+/fqhclazZs2yxYsXh9aFl9ho3rx5qJ0sWLAg2zylubXT+mAuo6DEncprhWc7AQAAACh9qcX5Y9WR/vvvv3OMitNIMXV8Dj300Bx/8+uvvzLvDQAUQsXK1e30K8f4Q8uxkGnptjLjYH9oGQAAJG7/RmXmlGWk+UbDA1GPPPKIz31zwgkn+DqVdVMmkkrShdf9Hj9+vAeyghLXymIKSlaH0++VKlWyjh07+u8qV6e/mzBhgpe0C2+n/XTt2jWurxsIp++ZgpR6JMtcuvqeXXLJJf7QMgAAQLwV6y6fRn6p46HOhkacyauvvhoa/RZ5QaNRYHPmzPFJRwEABZOalma1d907tm9XSoptT8leix8AgPIuUfs3KgX1/vvv2wUXXOBlplVe7bXXXvPybVdeeaXts88+3q5Ro0bWq1cvD/iolFTLli1txowZHijSHKcZGf+UcK1Ro4Zdeumldv/999uAAQM8AKTXobmItK/gZrreg8GDB9vVV1/tWUbdunXzm+0vvfSSnXHGGbbvvvvG9XUD4RR0DbLOkoW+Q0GJRAAAgIQP+PTs2dM7COoA9OnTx77//nt78cUXfbSXfg+3atUq74xowk91FAAAAAAgkSRq/2bPPff0LJsRI0Z4ds3WrVs92DJ8+HDr3r17trY333yz1alTxyZPnmzTp0+3hg0b2siRIz37J9yFF14YyvJ59913fR9Dhw613r17Z2t34okn+ut/9NFH7Y477vCMn8svv9z/HgAAAEAZCvh06NDBOz4qEaARZpKVlWVnnnmmHXPMMaF2F198sX344Yc+CWiXLl1CJQIAAPnbvm2r/fzVO768T/NjLD2jQvHftqxMq5C11he3puxkllKsCp8AAJQJpd2/iSyxFm6//fazUaNGFSgLYuDAgf7Ij7KF9MiPSsYFZeOA0qLgqrLLguCsyg8mOpVUXLRokS83aNDASzACAADEU7EnbtAIMo0We+utt7yuc5s2bbwkQORkolWrVvVRYOocAQAKbtuWjfbWxHt8uf7+h8Yk4JNqO2znbf9MzLy8wmGWWbwp3QAAKDPo3wCJad26dXbOOef48vHHH58UAR8FqYI5tVQuUfdFAAAA4ikmM3Ufdthh/sjNlClTrFq1arHYFQAgBrI04tAyQsvIrl5dOuMAUJ7RvwEQCyqHGAR5tAwAAJAUAZ/8EOwBgMSSlZJhKyrmHqgv7zLS02zJyvW2as3mfNvWrlHJ9qjLoAYAKE/o3wAoiCpVqnhmDwAAQJkK+AAAkGwU7Bk1aX6+7Qb0aEnABwAAAAAAAKWOSRsAAAAAAAAAAACSHBk+AFAOpWTtsKo7fvflDWl7WlZKWmkfEgAAAFCmbN261ebMmePLRx11lFWoUKG0DwkAAJRxBHwAoBxKsUyr/v8DPhvT6lmWEfABAAAAYmnbtm323nvv+fLhhx9OwAcAAMQdAR8ASHBp6Rm270HtQ8uxkGUptim1TmgZAAAASGQVK1a03r17h5aTQXp6ujVr1iy0DAAAEG9ccQBAgqtQqap1OOPGmG4zKyXdVmc0juk2AQAAgHjZaaedbMKECUn1Biswddppp5X2YQAAgHIktbQPAAAAAACAsiSj9u6lfQgAAAAoh8jwAQAAAAAghlLSMmzbqqW2fd3feXfIq9eyjNr1eO8BAAAQEwR8gCRUr27V0j4ElKDNG9ba5Icv9uXTBv7HKlXdqdjbTMnabrW3fePLqzIO8BJvAAAAiB0Fe/6c8Z8829Q54WICPgX0119/2cEHH+zL8+bNs5133tkS3aZNm0Jl6M4880yrXLlyaR8SAAAo47jDByShjPQ0W7Jyva1asznftvvVr1kix4T4ycrKtPVrVoaWYyHFsqxC1rrQclZMtlo+EYAFAACIv8zMTFu8eHFoORnoOH///ffQMgAAQLwR8AGSlII9oybNz7fdPQOPLpHjQXLJtFRbnd4otIySCcDWrlHJ9qhbjbcbAACgHKhQoYKddNJJoWUAAIB4I+ADAOVRSpptStuttI+i3AVgB/RoScAHAACgnMjIyLBWrVqV9mEAAIByhGHdAAAAAAAAAAAASY4MHwAoj7I0a09QRzzVLCWllA8IAAAAKFuysrJs+/btvpyenm4pXHMDAIA4I+ADAOVQqm23Xbd+4svLKxxmmZZR2ocEAAAAlCkbN260++67z5cHDRpkVatWLe1DAgAAZRwl3QAAKCH16tLJBwAAAAAAQHyQ4QMACa5ilerW+9pnQ8uxkGnptqLCIaFllIyM9DRbsnK9rVqzOd+2tWtUsj3qViuR4wIAAEh0tWvXtp9++im0nAwqV65sl19+eWgZAAAg3rjLBwAJLjU1zXaqvXtsN5qSYjusUmy3iQJRsGfUpPn5thvQoyUBHwAAgP8vLS3N9tlnn6R6P1JTU61WrVqlfRgAAKAcoaQbAAAAAAAAAABAkiPDBwAS3PZtW+z7ebN8ef+DO1p6RsXibzQr0ypmrvbFLak1zVKI/wMAACBxbdq0ycaNG+fLffv2TYoSadu3b7eff/7Zl5WdlJ7OLRgAABBfXG0AQILbtmWTvffyCF9ueECbmAR8Um2H1d6+0JeXVzjMMkn4BAAAQAJbv369XXTRRb58yimnJEXAZ8uWLfb888/78qBBgwj4AACAuCPgAwDlUJZGHFrF0DIAAACA2EpJSbEaNWqElgEAAOKNGj4AUA5lpWTYyoqt/aFlAABQ+h5//HFr06ZN1Oc2b95s9913n7Vv394OOugg69Wrl3344Yc52u3YscPGjBljnTp1shYtWli3bt1sxowZUbc5adIk69q1q2+vc+fONn78+Kjt3nzzTTv11FOtZcuWvv9HHnnES1UByFuVKlXsyiuv9IeWAQAA4o2ADwAAAACUsnfeecdGjhyZ6/PXXHONPfXUU9ahQwcbPHiwbdu2zfr372+ffvpptnbDhw/3wFCrVq3sxhtvtNq1a9tVV11lr776arZ2Y8eOtZtuusnq169v119/vTVp0sRuv/12e+yxx7K1e+ONN2zAgAF+s/raa6+1tm3besBHbQEAAAAkFkq6AQCQgOrVrVrahwAAKAFZWVmeWTNs2DAP4kSjTJ5Zs2bZDTfcYP369fN13bt39+ydu+66y6ZMmeLrfv31V5/UXhPaDxkyxNedfvrp1qdPH9++sn4qVKhga9eutREjRnjwaNSoUV5qqnfv3h4YGj16tP+NAkXKFrr77rvtwAMPtKefftoyMv7JCt5pp53siSee8O02btyYzwkAAACQIMjwAYByKCVrh1Xf/os/tIzEk5GeZktWrrevfvwz34faAQCSk0qz3XHHHXb44Yd7YCWaadOmebClZ8+eoXXKuOnRo4d9/fXXHuiR6dOnW2ZmpgdiAmlpaf77ypUrbe7cub5u9uzZtnHjRjvzzDOzzSuiQJFKxym4JPPmzbMlS5b4foNgT9BOgarcSsUB+MfWrVvttdde84eWAQAA4o0MHwAoh1Is06rtWOrLG9L2tCxLK+1DQhSr1my2UZPm5/veDOjR0vaoW433EACS0NKlS708moIqZ599dtQ2CxYssIYNG+aYAyQIEOn5vffe239Wq1bN2+bWTnME6ac0a9Ys13Y6ntza7brrrla3bt3Q8wCiU9beRx995MtHHXWUZ9gBAADEEwEfAEhwaRkVrPEhnUPLsZBlKbYxdZfQMgAAKB3KtsnvJvDy5cutRYsWOdbvsssuoaBR0E7BmPzarVixwipVqmQ1a9bM1q5ixYq+Lnx7sttuu0XdZtCuuBYuXJgt0ygetmzZ4j+VEVVUDRo0sNTMTNuy9Z9t5SVL/8vKyretMrLWrVtnixYtKvJxlRcbNmzwUobyyy+/+Oc4luc3XgEfBWPlhx9+yJYph8JJ1HOM2OEcl22c37KPcxwfup4sLAI+AJDgKlSsYu16DIrpNrNS0m1Nxn4x3SYAACi8goz4143uypUr51ivoI1s2rQp1K5q1aoFahesi6SgT3i78L+PbLdq1ap8jx2IFX2277zzzqR6QxXgad26dWkfBgAAKEcI+AAAAABAEgvPjskrUyZ4TiMFC9our23GKiunadOmPtdQPAVZAbnNk1RQm1alWsUKFfNtl6L/paTk2zY1NdWqVq9e7OMq72J1fpG4OMdlH+e4bOP8ln2c4/jYsWOHzZ+ff6n/cKlxOhYAAAAAQAxo7p7NmzfnWB+s07w9sWgXlOMIbxf+97m1AwAAAJAYCPgAQILbtGGNjb2zhz+0HAspWdutztb5/tAyklu9ujnL9wAAyo569erZypUrc6wP5jAJ5u0pTDuVbVu/fn2OIM7q1atDc/6oXfjfR24zaAeUhD///NPq1q3rDy0nA33PHnvsMX8EpRIBAADiiZJuAJDosrJscxDoKcJkbdGkWJZlZG0ILcdmqygtGelptmTlelu1Jvpo7XC1a1SyPeoyIhsAkonKVE2dOtUzbcLn0wlKZzRv3jzUbtasWbZ48WKrX79+nu1kwYIFdsQRR+TbTuubNGkSard8+XIPLPXo0SOOrxrITiUGg0BPUSYwLg2ZmZm2bNmy0DIAAEC8EfABgHIo09Jsdfp+oWUkPwV7Rk3Kv67rgB4tCfgAQJLp0qWLTZo0yV544QXr16+fr9u4caOva9GihTVo0MDXde7c2UaOHGnPPvus3XTTTaG63+PHj/fsnmDy+Hbt2lnlypVt3Lhx2QI++l0BpY4dO/rvrVq18r+bMGGCnXzyyZaenh5qp/lpunbtWuLvBZBMKlasaKecckpoGQAAIN4I+ABAeZSSapvSKMMCAEAyaNu2rT/uvfde++OPP6xhw4b20ksveebAsGHDQu0aNWpkvXr18oDPhg0brGXLljZjxgybN2+ePfjgg5aRkeHtatSoYZdeeqndf//9NmDAAA8AzZkzx2bOnGmDBg2yWrVqebvU1FQbPHiwXX311R5o6tatm2cFad9nnHGG7bvvvqX2npQVGbV3L+1DQBwpSKqgLAAAQEkh4AMAAAAACe6hhx7yoM20adN8LpDGjRvbk08+GcraCdx8881Wp04dmzx5sk2fPt2DQ8r6UfZPuAsvvDCU5fPuu+/annvuaUOHDrXevXtna3fiiSd6Ns+jjz5qd9xxh2f8XH755f73KL6UtAzbtmqpbV/3d75t06vXsoza/8yrBAAAAERDwAcAyqOsLEuxHf8sqqRbSkppHxEAAOWegi+5qVq1qg0ZMsQf+WUUDBw40B/56du3rz/yc8IJJ/gD8aFgz58z/pNvuzonXEzAJ8loriHNvSUql6jgKQAAQDwR8AGAcijVttuuWz/x5eUVDrNM+6fECwAAAIDY0Fxb9913ny+rXKICtwAAAPGUGtetAwCAhFKvLjcaAAAAAAAAyqKky/D58ssv7eGHH/aJR7ds2eITk2oC0e7du4faKGX6kUce8ZrVq1atsiZNmtiVV15pRx55ZLZt7dixw5566imbOHGiT3i6995728UXXxy1XMGkSZPsmWeescWLF9tuu+1mZ599tvXp06dEXjOA8q1ilep21g3Ph5ZjIdPSbXmF1qFllB8Z6Wm2ZOV6W7Xmn/Iiualdo5LtUbdaiR0XAABAXmrXrm1LliwJLScDzZN19dVXh5YBAADiLanu8v30009eY7pGjRrWv39/T4eeMWOGDR482P7++28799xzvd0111xjb731lp155pm2zz77eLBG7ceOHZttUtPhw4f7ulNOOcVatmxpM2fOtKuuusoyMzOta9euoXZqc9ddd9mxxx7rQZ6PPvrIbr/9dlu/fr1ddNFFpfJeACg/UlPTrOpOdWK70ZQUy7SKsd0mkoaCPaMmzc+zzYAeLQn4AACAhJGWlmb16tWzZJKammrVq8dmwBYAAECZC/goQKMLJmXk7Lrrrr5OARgFdkaOHGk9e/b0DKBZs2bZDTfc4Jk/ouyfbt26edBmypQpvu7XX3/1SVEVQAomPj399NN9e8OGDbNOnTpZhQoVbO3atTZixAjr0KGDjRo1yidZ7N27tweGRo8e7X+TLKOLAAAAAAAAAABA2ZQ0c/io/NrcuXOtbdu2oWCPKAB0/PHH+2SICxcutGnTpllGRoYHfwJVqlSxHj162Ndff+2BHlG5N2XyhJdl04gh/b5y5Urfl8yePdu3raCSgj0BBYpUOk7BJQCIp21bN9tX70/xh5ZjIivTKu340x9aBgAAABKZ+uUPPfSQP7ScDLZv327ffPONP7QMAAAQb0kT8FFgZ+rUqXbdddfleE7z9AQBmwULFljDhg09yBPuwAMP9J96PvhZrVo1b5tfO2nWrFme7QAgXrZv3WwfvPqoP7QcC6m2w2pt/84fWgYAAAAS2YYNG3xuXj20nAw077AqlOihZQAAgHhLmpJuyq75f+3dC5yM9f7A8e/M3rFh3XK/hSSXSqKQW0ipVEhKSuRaOXVc/hRdjkRSulMUKhXViXRBnUqpQ1RyOpQIuVuWZe11/q/vb3vmzNrZ3VlmduaZ+by95jXPPvPbZ56Zn9l5fs/3+X5/NWvWzLder+xZsmSJCfCcd955sm/fPmnWrFm+dpUrVzb3u3fvNvfazjNTqKB2+/fvl/j4eClXrlyednFxcWad1c4fNEPJM4soEKyDTM12QuDVqlVLUtJEDh1JK7Jtw9paGtAl6ekZ4nK5zDpd9so8ntu2SHZqG+znL25b01ICvg8ZGZnuh3TZaW3jDLbplCzJkHiznJ6RKTnmlZz5voZiW+vzZId9DaW2mgV77Ngx2bFjh5QEvp/sgX6yh3DsJ/ffcgCwEb1wtWLFiu5lAACAQLNNwKeggZ/Ov6Ml2EaMGGGCMHqlT0JCQr62GrRRaWm5J961XenSpX1qZ607lT6f1Q4oiAZ7nnpzXZFv0NP3deZNRInJkWjZLU15xwEAAMJUZvJuyTp2uMh2cVXrS3Zqsk9toxPLS0xSNT/tYfjTcxN6rgIAAKCkRNs52DN58mQzF0+rVq1k2LBhPv2eZwZNYdk01mP6PL6084fGjRubsnSBZF3paZWkQ+A596VLXFxs0Q3N/yWHaWtdeV/g73m0Lc52Q75tsJ+/uG1NSwn4PuRkxrgfio2N+d82QuE9sEFbdyaLDfY1lNrqVaiJiYkl9n3B95M90E/2EI79pPN5/vDDD8HeDcBWNIBzcPmLRbardtsUn9tW7DGUgA8AAEAIs2XAJzMzU8aNGyfLli0z5dteeOEFiYnJPSGqpd1Onsw/x4W1Tuft8Uc7q1yG1Q4AAAAAAAAAACBYbFdEVkuoaTaPBns0s2fevHl5gi7VqlUzJd5OpXPxKGvenuK00+dMTU3NF+w5cuSIe84fALAThytLzsrcam66DAAAAMC/9LyBViXRmzW/GgAAQCA57ZbZM3LkSPnqq6+kY8eO8vLLL+fLsNHSFb/99lu+rByrtEXTpk3d7VJSUmTnzp1FtlM///xzoe0AwE4c4pLSOXvNTZeBU1WrlH+eOwAAAPguKytL1q1bZ266DAAAEGi2Kuk2a9YsWb16tXTq1MksW2XcPHXv3l0WL14sixYtkoEDB5p1J06cMOu0/FutWrXMum7dupltzJ8/XyZMmOCuDf7666+b7J6WLVuadR06dDATLS5YsEBat27tfh79OT4+Xrp06VJCrx5ApIqKiZXzWvd0L/uDSxxy3Hm2exk4VUx0lPx5IFWSU7yXNfWUVDZeqlcKfolTu+0vAADwnY6/hw8f7l62g+joaPe5BV0GAAAINNsccWipNS3fpgdJbdu2leXLl+dr06ZNG2nXrp25TZ8+Xfbs2SN169aVt99+W/bu3StTp051t61fv7707dvXBHyOHz8uLVq0MNvcsGGDzJw50x1MKlu2rDmonDFjhowYMcIEgDTo9PHHH8v9998v5cuXL9H3AUDkiY0rJe2uvduv23Q5ouVoTH2/bhPhR4Mnzy0uepL0fwy7TOy0vyNubEHABwAAm0lMTJTnnntO7CQuLk6uuuqqYO8GAACIILYJ+Kxfv96UdFMPP/yw1zZz5swxc+o8/fTTJmizdOlSM/9Oo0aN5JVXXnFfWWN54IEHpGLFirJkyRJTU1eDQ5r1o9k/noYMGeLO8vnyyy+lRo0aMnnyZOnXr18AXzEAAPZgx2wgAAAAAABCQU5Ojuzbt8/M96bLdpSRkWHuf//992Dvim04nU5zcYhWG9PliAv4aKm2zZs3+9S2dOnSMnHiRHMrjGYLjRo1ytyKcuutt5obAADIj+waAAAAAACKRwM8O3bsMEkLUVFR5uZw2K/0fpkyXNhZHC6XywTJtN810KfT0Pgr6GObgA8ARKq04yny5rTcgHO/MQskoXTZM96mw5UpFTM3muWDMU3F5cg/JxoAAAAQKg4ePGiqcqht27aZah2hTk/izJ071yzfcccdpnIIAACeNLNHvy+SkpJM5So7BnuUvgbFd13xgj46jU1ycrL5f1C1alXxBwI+ABDqXC7JzEhzL/uDHj5Eu9Lcy/7ZKgAAABC4kyKpqanuZbtcta2BKmsZAIBTaXaHZvXYOdiD06P9rf2ekpJi/h/4CwEfAIhAORIlh6MbuZcBAAAA+JfW5e/du7d7GQCAfOdncnJsW8YNZ077XfvfnxeGEPABgEjkcMrJqNAvgwEAAADYlc4bfN555wV7NwAAIY5gT2Rz+DnYR8AHAACUmGqVSntdrxMUAgCA0BaT5J/a8gAAAAgMZ4C2CwAIZS6XOF3p5uaveYEAX8RER8mfB1Jl428H89x+35Nmbp7rtB0AAAgdjqgYyUzeLWl/bCrypu0inZZnOXbsmLkxhw8AINxdeeWV0qhRI3njjTe8Pn7nnXeax//5z3+e1vbXrVtnfn/Xrl3m51tvvVUmTJggwTJ79mwZOHBgvvVffvmlXH/99XLBBRdIz549ZdmyZSW6X2T4AEAEckqWVMlYZ5b3xbaSHIkJ9i4hgiSnnJTnFv+QZ116eoa5j4uLda8bcWMLqV6pTInvHwAAKFjWscNycPmLRb5FFXsMlZikahH9VqalpcmTTz5plu+//34pXdp7pjMAAOEiJiZGPvnkE7n55pvzrD9y5Ih8++23fn2uZ555xpRPDYa33npLZs6cKZdcckme9d9//70MGTLEBKOmT58u//nPf+TBBx+UrKwsue6660pk3wj4AAAAW5V/AwAAoY/ybwAARJ7WrVvLN998I8nJyZKUlORev2LFCmnevLnJ0vGXcuXKSUlLTk6WSZMmyVdffSW1a9fO9/grr7xiMnuszKP69eubjKRZs2YR8AEA5IovdZYMfPBdsxwb558T4DkSLXtjc69CcEkUbzVCuvybZgQVpUHNkj/QA4CSdtNNN8mGDRvyrT/33HPdpTEOHz5srjb87LPP5Pjx42ZgPWbMmHwTx588eVKeffZZ+fDDD83AVbdx7733Sps2bfK0y87Olrlz58o777wje/fulTp16sjQoUOlR48eAX61CJfyb5oRVJToxPJFZgNVqFDB/F9VZcuWFTsoVaqU+fyp+Pj4YO8OAMBmDhw4UOjjFStWFIfDYZb1uO/EiROFfidZmaYul0sOHjxYYNtKlSqd9j5rsGPLli2ycuVK6dOnj3v9Rx99ZI4fPQM+2kYDIdu2bZPq1atL79695fbbbxenM3cWmv/+97/y6KOPysaNG6VmzZrmcU+aRaPzAf/jH/8wP7/55pvy+uuvyx9//GEyf3RfNDijgRkNunTu3Nk834svvii//vqrec6///3v0qVLF/P7nTp1kj///NPr65o/f77J5tm6datkZmbK+++/b7ajx8ee9Ll1O570OFy3u3v3bqlWLfDZz2T4AECIczidEpeQ6OeNOsTFVwBsWv7Nm2mj2pfI/gBAMOnguUOHDvmCLdbVjRkZGXLXXXfJ5s2bTT1xPQmwYMECueWWW2TJkiVSt25d9+/cd9998vnnn5tyG/Xq1ZPFixebuuqvvfaatGzZ0t3u8ccfN+t69eolLVq0kI8//lhGjx5t5iO5+uqrS/DVI9LLv+nJn/Lly4ud6Em4hISEYO8GAMCmKleuXOjjGniwSpo99thj7sCHNxr4mDx5svvCn8K2rQGhM/nu69q1qynrZgV89IKNtWvXyrRp0+Thhx8267744gtT7nTixInSqlUrE4DRx7Qc6siRIyUlJcUcz2rGkB7Hbt++XR544IECn1ePUfU9mDp1qrngSQMs2l6PZZ9//nl3O90HKwikF0mNHTvWZOtoQEyPh/ViJ2+si00uvvhicyuIvq979uzJs86ac+jQoUMEfAAAAAAAYgateuWmBnyuvfZar2+JZvn8+OOPJnPniiuuMOu6d+9uJtDVAa1e0ajWrFljrqgcP368e6JZrSl+zTXXyJQpU+Tdd3Mzi3VgrQEjvXpSB+NKr6zs37+/GUzrYD429n9zrwHBolf3AgCA0KDHn3qMqUEbDZR8+umncuGFF5qLkSyaHdOvXz+58cYb3d/leqyrQZrhw4ebLHQNaGkQSzOTzjnnHNm3b587YHQqLR+nx7E9/rowSrN3rrrqKvnggw/ytBs0aJC0b597wahmrWvm0W+//SbNmjXLU4LudOlxupZz0ywfPVbWC7Y0W17p6ykJZPgAQIjLzDgpm9a8b5abtLlOYmL9UA7ClSMJObnpu2nOippGdObbBAAAAaODRasOeEGWLVtmriq0gj1WSQ4N+Lz33ntmEK0D5qVLl5oJdT3LbOhVjTrg1sCQBnq0dJsOtDWTRwM8lqioKPOzXpGpV2pedtllAXvNgCctU6OTM2efOCp39eslpTwyZ5w5OeY+LdlZrDJxgaYTNOtkzVY5l2BNLA0AsKf9+/cX+rgel1n0Qp577rmnwLZ6rGfRMqNFbftMXHTRRSYrd9WqVXL99de7y7l5+uWXX0yptkWLFrnX6XGnZh/phU6a8aPZ6VYZOqXZ5gXRLCE9Xn722Wfl999/N2Xi9OcqVarkaeeZ8V6mTJk8gRgNEGnZNW/mzJmTJwu+IHoRle6/9odm1FetWtUEmTRQlZjo5+o9BeBoAwBCXFbGSfnu41fMcqOLuvsl4OOUbCmX9atZTo8tLzlCwAcAgFCmg16lVzcqK3jjadOmTV4Hok2aNJG3337bDHq1lvnPP/9sBrueA3+rndLHNeCj9zoQ9hwYn9qOgA9Kiv6fHzdunFnuUXqfVEj8X8AnPSPd3MfFxrnXVb3loaB3Tnp6ugm2WsFaAj4AgOIozlw6elx46rFhYWXXzmSeHl+2361bN1PWTbPT169fby4q8qQXH2k54Z49e+b7fQ3S6DZOLS2nv1MQnVNHM9KvueYaczysJY2//PLLfBk+3rZhPc/s2bPNxRrenBo4KsyIESNMmWUt4aYXY+ncmhqcK4n5exQBHwCIQC5xSKbjr8n6JHeCPwAAELp0Xp64uDh5+umnTSZPamqqGUAOHjxYBgwYYE6GHzt2TM4+++x8v2vVaNd64hrw0XIYWraioHbWlY3aztvg9tR2Z0qv8LQmHA7kiXcrKHa6tNSIZpJYwYXCuPSfy1VkW1/bWVe9ah/v2LEjKPsayLa+vDat/29Jz0yX9AxnvhM1eZ4rKloyDu2WzKOHinz++LPriism3swbUBSdkycnZb9P282KKW1OqOmVwxpwpQRicD/DCG30cXijfwumczDqBTa+fAeFMv0uVxow0dfSsWNHUzLtnXfeMQEY/f60XqN+L+ocklu3bs0zl5AGRnQunkcffdRcKKFlhvV49KyzzjKPa+BIaRaQbkvn29GbLmsGjmarjx071r09nYdS90sf19+x3m9rP05dV1hJNz3WOLWP9LVa27doxpIez4wZM8bstz6HBr50XiGdj9BbP+tr0GN7b99xpzOfEgEfAIhALke0HIwtOBUWAACEXoaPnizRQa/WJ9fBog6gta75kSNH5KabbjLtvE0Qr2U7rJJYSoNDhbWzBqLesoi8tQNCVdaxZNnzwTNFtqsz+AkTxHH6EMRxVG/g83arXjPKzIHlS5AOAIBwouXXdP6el156Sf7+97/ne1wvWho1apTJXu/cubP88ccf8sgjj0jbtm3NBRKaIaQZNzofjpaq0xJ0L7zwQoHPpxcpbdiwwVwkpceqWkZOAy3+mJenODRL/oknnjAZ8foeaABLyyTrnEUlhYAPAAAAAIS4vn37mqv/NJvHoiUrdLJbHQzr40XxNYvGs11hv+OvrJzGjRvnqUEfCNYVk1Y5utOlc8R4lg0riEP/ORxFtvW1ndKrQksnJvr8Gvy9r4Fs68trO3DggHs5LiYuz3a9lXQr7r5mpx6W5I9nF9m22m1TAtZnCPxnGKGLPg5v9G/BdL4Z5e1iHDuxLgTS8qXWa9GgzVtvvWXmxvF8fVpWrUuXLjJt2jRzHKuBHA3M9OrVS0aPHm0CPtp+/vz5Zu4bLc+mmUBDhgwxP2tARx/X40e96fLkyZNNSbeBAweanzWbXds++OCDcvjwYfcFS9a2lbd1xaGvVb/rPX9XM5t0XzTQpUGqBg0amGBPu3btCtyOvgYNjmnW06n0+P+HH34o3n4V83UAAAAAAEpY//79863TAaYGenRS2G+++SZPaQpP1jprYlqdu8ef7QAAAADNqvEMfjzwwAPm5kkzcCw6f4+3OXwstWvXlldeyZ3T2tsx8YIFC/KUs9UA0an69Onj9blVjRo18q0rjqlTp3pd37t3b3MLFgI+ABCBHK4sOStrm1k+Gl3XlHgDAAD2U6FCBXOv9cO1TrhnFoRFry5U1nw8OmGsr+3Wrl1bZDsA3qVnZsqn//ynWe7evbuZh6swmcm7JevY4SLfzujE8hKTVDITPwMAAHvhDB8ARCCHuKRUTu7JmmNSR4o/BRwAACgpu3fvNnXOu3btamqYeysDUrNmTVPqyNtkr7pOS05o6TSl7T744AOTqWOVsrDaqaZNm7rbrVy5Unbu3Gm2X1A7AN5lZ+e4y7Bo6ZqiAj4a7Dm4vOga/1VveYi3HAAAeOX0vhoAECqiY+KkWdsbzE2X/cElTkmNqmZuugwAAEJX1apVJSUlRd555x1zb9HlV199VapXry4XXnihySDQ4JAGaSyayaPlNa644gr3yWZtl5GRIYsWLXK3O3HihCxevNjUO9eSGFbddZ2rxLM8htYRf/311012T8uWLUvoHYCKSaoa0W+Eloj529/+JnffeZvExwR2zid/iY6KktatW5ubzlfgL46oGJMNlPbHpkJvORknfWqnN20HAADsjwwfwMOfB1IlOSV/nfJTNahZTg4dPVlkW20HnKmYuARpc9VQv76RLkeUHIuu69dtAgCAwNCgy6RJk2TkyJGmDnm/fv1MwEYnwT106JDMmTPHZPDccMMN8sYbb8j9998vd9xxh5n8VoM1+vt33323e3s6aazepk+fLnv27JG6devK22+/LXv37s1Ti7x+/fpmjiDdxvHjx6VFixayfPly2bBhg8ycOdOvJ7Dh+0l+X0p+xVWtH3Zvqc4ZNWPGDBOc8CULJhTExkSbwGkg+JINVO22KWQNAQAQYQj4AB40gPPc4tyU+8JMG9Xep7baDgAQWqpVKh3sXQCAYtMMnRdeeEFmz54tTz75pAnwXHDBBWa5efPmpo0GYObNmyfTpk2ThQsXmmwcfezpp5+WevXq5dmertOgzdKlSyUtLU0aNWpkJsU9NWtHJ9qtWLGiLFmyRD788EMTHJo1a1bATmJD/FLyS0/0A4EKKBZ3DiHmJgIAoOQQ8AEAABElJjrK54zOpLLxUr1SmRLZLwAoSqdOncytMBUqVJDHH3+8yG2VLl1aJk6caG6F0cDSqFGjzA1AePM1oFixx9BiBXz8MTeRVWoSAAAUjoAPbIkTdYgkaalHZMFjfc3yrePfkoQyZ14q0OHKlIoZP5rlg7HNxeWgJAsii68ZnSNubEHABwCAEKDzUel8VmrdlIFSITFBQl3ayXR56amnzPKQIUOkVKlSwd4l22YZOXNyzH1asvO0sowAAIgUBHxgS5yoQ6Rx/TXA8ReH+QJIdy+7/Lp1IHxQ/g0AgNChZQrtRI+xU1JScpddHHGfSTZQekbu2CUuNq7IbCAAACIZAR8AiEA5EiXJ0Y3dywDOrPxb3eplpUwCmXIAAOB/YmOipV+/fmY5Li43UIGSn3MotkodiYpnDkcAQGQg4AMAkcjhlPSopGDvBRA2WaXTRrWn3CgAAMgjOipKGtZryLsSIL7ODVTttik+BYcoEwcACAcEfAAAAPyAcqMAAAD2DQ5V7DGUeYEA4AxceeWVsmfPHpk0aZLcfPPN+R6/88475auvvpJp06bJtddeGzLv9cKFC81t7969Uq1aNbn99tuld+/e7sePHj0qU6dOlZUrV5qf27VrJxMmTJCkpNC8kJqADwBEIpdLov6awydb4kQcOpMPAAAAAH/JyXHJ4cO5WSVly5YVp9PJmxtGfC0pR+YQgEgSExMjn3zySb6Az5EjR+Tbb7+VUPPGG2/IjBkzZPLkyXLBBRfId999Jw899JB5Hdddd51pM3LkSLP/c+bMEYfDYYI948ePl5deeklCEQEfAIhATsmSyhnfm+V9sa0kR5h7BCgp1SpRQx4AgEhwMiNDnp01yyzff//9Uro0xwCRWFKOzCEAkaR169byzTffSHJycp4MmBUrVkjz5s1l3bp1EkoWLVpkglNWxlGtWrVkw4YN8u6775qAjwapdJ+XL18uderUMW3GjRtnAkQnTpyQUqVKSagh4AMAAFCCYqKjmO8HAGx4lX5c1folsj8AwktMUtVg7wIAmzp+/Li5T0hIcGeJZmdny8mTJ02miWewISMjQzIzMyU6Olri4uLc69PS0iQnJ0diY2NN1opyuVwmWHHqtrOysiQ9Pf2MLlDQLJktW7aY8md9+vRxr//oo4+kR48eeQI+2mbWrFmybds2qV69uimjpuXUrP3RbJtnnnlGNm3aZF5b/fr15b777pP27dubxzt16iS33HKL/Pvf/5Y1a9ZImTJlpF+/fiYjxwrMvPfee173U9uMGjVKJk6cKFWr5v07rc+vZdzU6tWrpXHjxu5gj7rssstMACtUEfABgBAXX7qsDHp4mVmOio71yzZzJFr2xLb+6ydKSwAljfl+AMCeE78jeCfEK1asaE5Ope34j6SummeLrkiIi5X/+7//M8t6Ag6RyREV43NgObZKHYmKJxMMQK4nnnjC3A8bNkwqV65slnfs2CHz5883QRnNHrVoYELnxzn//PPlhhtuyFOybNeuXdKzZ0+58MIL3YEda9t33323lC9f3iz//vvv8uabb5o5eE77b57DIV27djVl3ayAj2b7rF271szd8/DDD5t1X3zxhdl/Dbi0atVKfv31V/OYBqg0GKNzAQ0ePNgEgB577DET/Hrqqadk7Nix5nc1gKWefvpp812rZdY+/vhj87o0y6hly5ZmnQaIvLGCZfrcnnbv3i0ffvihCSSp7du3m6yf1157zbyXGmxr27atjBkzxpRrDUUccQBAiNMvy+iYOH9vVMNH/t0mAL+j/BsAIBL4ekLcZFnFx8txm8w/qcfx1tXUiGzFCSwTHAJgd927d5eBAwdKSkqKCYp8+umnJtikF29YXnzxRZONc+ONN5qfNaiiQZ0HHnhAhg8fbjJ67rnnHrnjjjvM96nSbd52221y6NAhd1ZOx44dpW/fvmZZA0SzZ8+WH374wQR8EhMTzc1XGpi66667zH4OGTLErEtNTTUZRjqHz9SpU01AasqUKSYopYE3a99CCQEfhIw/D6SaK56L0qBmuRLZHwAA7FT+rW71slImgZNKAIDwPSFOlhUiQSCCQ9GJ5SUmqZqf9hBASbEyeLTsmkUDI7r+1ECDZp1ccskl+TJKdX4aq6SbRdt423a9evXyZA2drosuushkDa1atUquv/56dzk3T7/88ots3LjRzKFj0f3UDJo///zTvE6dQ0czazZv3ix//PGH+R2rrJ3Fs9SaSkxMNMEi9eCDD8rSpUu97qMGdoYOHer+eefOnXLnnXea51+4cKE7UKTvlWZEaWk5LRmnNONIA1X/+c9/pEmTJhJqCPjAduVtpo3KrdMIRIrMjDT58ct3zHLz9r0lJvZ/X8anzZUtCTkHzGKas5JeVnnm2wQQ9O9HX4NDSWXjpXql3INVAADs4ER6pjz0jymSfTxFBtTJkVJxNrjIIbGSrF+/3iw2bdqUbB8ELThUscdQAj6ADXmbSycqKsrreg3oeAZ1LJ4BHYsGi7xtQ4Mb/ihBqtvv1q2bKevWoUMH8104c+bMPG00A1YDLFpq7lRVqlQx8wD1799fmjdvLm3atDEBIw28eAZplLfX7HK5zL1mCA0aNMjrPnqWY9MMHs0O0nUagPKc00f3RecXsoI96pxzzjH3WiqPgA8AoNiyMtLl+1ULzHKT1tf4JeDjlBwpl7XVLKfHVpAcyrsBYYG5gQAA4SotI0semTLVLPd+fJAtAj6ZOS73lcW1S4uUio8rvFwdAABhVNZN5995//33zTw5SUlJeR7XoInOj1O7dm33uhUrVpj5c3Sun7feessEXl5++WX341Y2kBXQKUqFChXMrTBbt241ZeM0o0jLwVnzGVm0NJx+l2tJt3LlcqtO6XxDSn8nFJHhAwARyCUOyXAkupcBRBbmBgIAIPCcTqdUq5QkWYf3yeGVr8oJpyssytXFJP3vymeEJ19KxcVWqSNR8fkzBABA6Zw9mjHz7LPPyoQJE/K9KcOGDTNl1Ro2bChdu3Y1wR8twXb55ZebrJ2zzz7blHb7+uuvTdm2devWubOEMjIy/PYmjx071jyfBpk0g+jAgQPuTCoNUl155ZVmvqF7771Xxo0bJ+np6WaeIS2f17hx45DsbAI+ABCBXI5oORTbLNi7AcBmcwOF6hVMAACEooT4eLnlqk4+ldyyE0dUjM9zx5C5FN5zajGHEIDCLnrQsm6aqXPFFVfke7x9+/YmyKJZNbNmzTLBFZ2zZ/To0ebxAQMGmOwb/Vnn7Klfv7489NBDMn78eDP3j/58prZt22a2ZWUkedKxr2YcxcfHm3mEpkyZIv369TMl77p06WL2I1QR8AEAAIhApzM3kE6iqZz70osMDgEAgPDl69wxdspcQuD+H1S95aEi23BhEWB/H330UZ45gzQTRm+eNm/e7F7W+Xu8zeGj4uLiZOrU3FKunjwDM5999lm+xz/zsq4gdevWzbM/BdFsIw1K2QUBHwAAAPgUHEpPz02dj4vLPzHmqcGhwiSVjZfqlf436SUAAECwUaouuFlhzr8uLMqOqUepOAA4AwR8ENaYowDwzuHKkrJZW81ySnR9U+INAEoqc2jEjS0I+AAAwp7W+V/2xXeSnlJGLk08LrGFzOGD4KNUXXCzgdIzcjPI6w6eQak4ADgDnOFDWCvOHAUNapYrkX0CQoFDXJKQc9AsH5V6wtATQEniggwAQCTIys6WX7btFJF4uSTxeLB3Bz6gVJ29+qFij6ESk1StRPYJAOyCgA/CXnHmKABCUXRsnFzQ8Wb3sj+4xCnHomq4lwEgVC/IYF4gAIBKiI2W8WPul+wTRyUh1mGLNyUmOkbaNDtXTvy2XqIdXGIFBFtRZeUssVXqUFYOJcrl4jsi0vvf4fDfsQ0BHwAIcTGxCdKq6+1+3abLESWp0bX9uk0ACNQFGQSHAACl4mLkkUkPSsaBHT5d+R8KYmNjpN2F58vBvauDvSuIcMxPVPwMLoJDKClOp1M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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "fig, axes = plt.subplots(1, 2, figsize=(14, 4))\n", "for ax, col, title, color in zip(\n", " axes,\n", " [\"findings_len\", \"impression_len\"],\n", " [\"Findings — độ dài (số từ)\", \"Impression — độ dài (số từ)\"],\n", " [\"#4C72B0\", \"#DD8452\"]\n", "):\n", " data = df[col].dropna()\n", " p99 = data.quantile(0.99)\n", " ax.hist(data[data <= p99], bins=60, color=color, edgecolor=\"white\", alpha=0.85)\n", " ax.axvline(data.median(), color=\"black\", ls=\"--\", lw=1.3, label=f\"Median={data.median():.0f}\")\n", " ax.axvline(data.mean(), color=\"gray\", ls=\":\", lw=1.3, label=f\"Mean={data.mean():.0f}\")\n", " ax.set_title(title)\n", " ax.set_xlabel(\"Số từ\")\n", " ax.set_ylabel(\"Số report\")\n", " ax.legend(fontsize=9)\n", " ax.text(0.97, 0.95, f\"n={len(data):,}\\n(≤p99={p99:.0f}w)\",\n", " transform=ax.transAxes, ha=\"right\", va=\"top\", fontsize=8, color=\"gray\")\n", "\n", "plt.suptitle(\"Phân phối độ dài Findings & Impression\", fontsize=13)\n", "plt.tight_layout()\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 17, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "C:\\Users\\admin\\AppData\\Local\\Temp\\ipykernel_6460\\441297132.py:8: FutureWarning: \n", "\n", "Passing `palette` without assigning `hue` is deprecated and will be removed in v0.14.0. Assign the `x` variable to `hue` and set `legend=False` for the same effect.\n", "\n", " sns.boxplot(data=combined, x=\"section\", y=\"words\",\n" ] }, { "data": { "image/png": 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zUuFYtQei96D+FuqroRq8nA58Eexzme3b2T3uaFsoyEebV+9dy482iEDktsxsO2W2P+WnYF/Q8Ua3zCjwhH+vI7+3ekw1xDr2qZZY3zPddOzSUOgaFCNyuwU1nqoBBHxDoAGQa0EhLdrZbJ2NzUtBQU4F6MgO05EjAInm+fvf/+6a4yhoqFCujvU686pgo87YWVFNjAKNAtE555zjCt462xl5dlkBSTcVSNTpVmfVVYBQ0xc15QhvilfQVCCLLDwGn1VWZ8nDCzkahUnNzo5EhXI1T9JNZ8DVAV/bQWfz1dwluMp8dueLtvzIZnKBoCCWVUjNifCakYL4/mj/jfw8Ir8/QegJwkVmBeKstoFeL7Oap8jX036v2kfVquleNThB7ab+V6DJqWDdclv7pW2hwKL3HBkU1cRU+31W+3ewLTPbnyK3ZRCootVIZRWcciL4vmmAlchmfjmlWkwNKqImZ6tXr3bHPjXT02AOCnGRAyYE7zcyHAE+oA8NgFwLmpotX748w2P6Ic1LQb8BDVsbKbJwpRG4dNZfTWRUGFGfE/UHUmFZBYfstI1XGFH/HDU1UwFXTZTCm5vpf50FDYY7VcFKwUZXQFefDhV+1LQqloJmeuG0TuoHEd4PI5pg+Nlon6Oa/qh/xZQpU9z/apqjUaeCM8tq/qR2/xpiWU2I9Jlpe2V3vmj0GaogrH49kYLPM+gL4IvgM1DtXqTI/Ty4+G20eRWIVDtzxhlnZFmDp9dTsyWNphVOBd9gKPVAMEqhRhZTH6fwppq6ZonktIZGtSr6ngS1rUcr6EMWbVtomtYrq31BI+lpXfT9iLa/BcNYB8sIRgWLDH0KAqoxyQtZfd9EF77UMO5HGp5btTLqZ6Z9Qv2UVKOm5sdqgpbZNgs+j+w0xwUKGwINgFzTML/60dcZ9vBQo7PIGvY0L+m6FCpY6Job4W291SFfZx7DaahiFbYj10FD4uoMrvrHZIcCjEKRmknprK6u5xBQwVGFvtGjR7vhXsMFzZXCO/XHgtrih9deqU+QapE0zOuRajPUV0PNv9R8JTKYqWClIYKDfjYqZGlba4jk8EKuXlu1J2q7r+2V3fmiUXOZoMYovGCpba9mUdo3NMS1T9QkUQVrBePwa4Tou6SaxHAKFTq7rvAX3nlbfVy0TVQrcaTrwASDZyiMhl9HSPu3vhvR+mZFTtfACxpUInjtnFJtpz6z8ME6cirYFzR8ePixQH/rujKS1bbQPqZ9RccpBYVwqolV7ZTCYdAPMBhKXIOChNOxKFqtjfbFyOs0ZadWRd85vX7kMPTa5trHVdNypCanCpsaolm37B6TgkFNIodyB3xAkzMAuabaDzVt0HUP1PFZHVLVNEzXjggfiSovBCMS6YyxCisqlKsQp4JfUPgKOviq8Kd+L/pR1xl9XWdCheagkBg5slFmVOjRRe1Us6DCYGSTDF3zQtea0WPqW6N+CDrDqs7V6vCuju+xpCZdugilBkNQ8xoNkhD07zkSnd1VbYpqtlSLou2tQlfw/hR29P6DTu367LV9tS10fRwVdvV6OvsbXDwwu/NFo89cNWV6roKmOjoH16HRZ6u+AZEDKRR22qcHDBjg+nTpc1INn5pUqkCrs+UK0wF9r/RdU7M89d3SvOoPo89C+7gGstBndaQApe2n5Wvf0IhvuiaPlqF1Ce83pG2sfmM6u6/vgV5fNRoKM3pdjXB2NLUT2hdVS6AaqGgDHGSHnqcLqipUaz01qISoNlXBUNvhSMtWsysFR/V5U42MjhcKWtrHdPJC3/ugqZk61KtfjYKOaglV8FfIVxBQk1LVeoXTvAoWapqn54afCMmK9gNdS0lNzrR/K/zpc1KQ0gkILe9IdL0g9R/UBYf1WQUX2NVnrmNy7969MzxH20HLP1KtLVAYUUMDIE+oSYOCgwrv+uFVIUiFFhW+8pp+jLVctY/XsKzqf6EgpXbnEvQX0VlM9X9RwUZnbdXcQj/oWlfV3GQ3aKhgokK3RF7ZXFTI19ltNb1TYUqdyTW0rEKOajFifZE6hT81m9O2UiFShWY1u8tuzZEKyZpfYU3NuvT+1FxJVylXrVj4YAw6M65+Q2q+pMfUZl8BSLUP4X1wsjtfJBUu1e9JwUUFTtUcaZsrrKpgG3lRTV9ovXX2XYFCZ+JVg6YmizpJEG2IXtXQaP/V2fpgZD+NxKemj9kZMEK1GhoeW7Vl+t4qAGgo98iz8/oO64KdComqgdWQwapVefjhh92gDqKr1OeUvjOiIYRzQ6FcoUPbTeunsKEmjKqVzGr47/A+dtp+uqiotoEu6KnApu+I9snwi2pqu+q4oRCp5pLabqot0320Ufe0jRT49b1T4M4u1QTptRVK1O9P3zfdK8xrf89Ok0qdVNF70QU6NfS0Lkas47ICkt5v5Oes965ArO94ZkNpA4VZgi5GE+uVAIDs0hl8FYKjjXSlZiMqFKrwHW0I3Hijwp4KoCogB30vgMKiZ8+etn79elcbEuvQH+9UQ6WQqyGeFQgB33AEAeAVnbnWmWmdTQ6nGhgV3nVmkjbgiBeqkVFtRDBClU9UA6VmWlkNB478p/4/qvlR7QxhBr6iDw0Ar7Ro0cI1L1FNjJqGqO26OpIH/S/U0Tkn12gBfBZcKyeza9wUZmrKqP48CmRqCpWdawMh77377rtuYISgCSHgIwINAK+o34Qu9KcfX7UJX7x4sevkqv4rasKiDs5AvCioa+Xkl8GDB7uL16rvS24uQIujoz5Uaqqr/mzR+gEBvqAPDQAAAABv0YcGAAAAgLcINAAAAAC8RR+aPBwlJLhasoafpHMjAAAAkDO6oozK1VKiRIlsDetOoMkjCjMacQkAAABA7iUmJmZr5FKanAEAAADwFjU0eSS8Okxpsnjx4nm1aAAAACAupKSkhFo9Zae5mRBo8kh4nxmFGQINAAAAcPSy2yedJmcAAAAAvEWgAQAAAOAtAg0AAAAAbxFoAAAAAHiLQAMAAADAWwQaAAAAAN4i0AAAAADwFoEGAAAAgLcINAAAAAC8RaABAAAA4C0CDQAAAABvEWgAAAAAeKtErFcAiKU333zTFi1axIeAXGnRooV17dqVrQgAQAxQQwMgU0lJSe4GAABQWFFDg7ims+qcWc9cnz593P3YsWML7DMBAADICWpoAAAAAHjLq0DzyiuvWPPmzaM+duDAARs5cqS1bNnS6tevb126dLHFixdnmC8lJcXGjRtnl112mdWrV886dOhg8+bNK4C1BwAAABC3geZf//qXPf/885k+3q9fP5swYYK1bt3aBgwYYMnJydarVy9bunRpuvmefvppF3waNWpkDz30kFWsWNHuv/9+e++99wrgXQAAAACIq0CTlpZmU6dOtb59+7qQEo1qYubPn2/9+/e3QYMGWbdu3dxzqlSpYkOHDg3Nt3HjRpsyZYr16NHDhg0bZjfccIONHz/eGjZs6P4/dOhQAb4zAAAAAEU+0Kjp2OOPP24XXnih1alTJ+o8c+bMsZIlS1rnzp1D08qVK2edOnWyNWvWuCAjc+fOtdTUVOvevXtovuLFi7v/t2/fbl999VUBvCMAAAAAcRNoNm/ebI899pi9+uqrVr58+ajzrF692mrUqOFCTLggAOnx4L5ChQpu3qzmAwAAAOCHQj9s84IFC6xUqVJZzrN161bXwT9SpUqVQqEomK9y5cpHnA8AAACAHwp9oDlSmJG9e/da2bJlM0wvU6aMu9+/f39ovmi1PJHz5dbatWstISEhT5YFxNLBgwfdvZpuAgAAFET/+SLX5CwvhIeLrIIGIQQAAADwS6GvockO9Z3RdWgiBdPUbyYn8+VW7dq13WADgO9Kly7t7jMbkAMAACAv6ZqRK1asiL8amqpVq7pRyiJt27bN3Qf9ZrI7HwAAAAA/FIlAo7PHP/zwQ4bal6Ddf2JiYmi+Xbt22aZNm7KcDwAAAIAfikSgadu2rbso5rRp00LT9u3bZzNmzHCjn1WrVs1Nu/zyy10/mcmTJ6er1nr99ddd7Uzjxo1jsv4AAAAA4rgPTYsWLdxtxIgRlpSU5K4zM336dNuyZYsNGzYsNN9ZZ53lLtSpQKMRzxo0aGDz5s2zr7/+2kaNGuUuzgkAAADAH0Ui0Mjo0aNdKJkzZ44bfrlWrVo2fvz4DLUugwcPtpNOOslmzpxpc+fOdeHn+eefd7U3AAAAAPySkHY0gz0jyxEZVPPDKGcoCvr06ePux44dG+tVAQAAcSDlKMrURaIPDQAAAID4RKABAAAA4C0CDQAAAABvEWgAAAAAeItAAwAAAMBbBBoAAAAA3iLQAAAAAPAWgQYAAACAtwg0AAAAALxFoAEAAADgLQINAAAAAG8RaAAAAAB4i0ADAAAAwFsEGgAAAADeItAAAAAA8BaBBgAAAIC3CDQAAAAAvEWgAQAAAOAtAg0AAAAAb5WI9QoAAABk5s0337RFixaxgZArLVq0sK5du7IViyhqaAAAADyWlJTkbkC8ooYGAAAUWjqrzpn1rPXp08fdjx07tkA+E6CwoYYGAAAAgLcINAAAAAC8RaABAAAA4C0CDQAAAABvEWgAAAAAeItAAwAAAMBbBBoAAAAA3iLQAAAAAPAWgQYAAACAtwg0AAAAALxFoAEAAADgLQINAAAAAG8RaAAAAAB4i0ADAAAAwFsEGgAAAADeItAAAAAA8BaBBgAAAIC3CDQAAAAAvEWgAQAAAOAtAg0AAAAAbxFoAAAAAHiLQAMAAADAWwQaAAAAAN4i0AAAAADwFoEGAAAAgLcINAAAAAC8VaQCzdq1a61Xr17WsGFDa9Cggd1yyy22atWqdPMcOHDARo4caS1btrT69etbly5dbPHixTFbZwAAAABHr8gEmo0bN1r37t1dgOndu7fdc8899uOPP1qPHj1s3bp1ofn69etnEyZMsNatW9uAAQMsOTnZhaClS5fGdP0BAAAA5FwJKyImTZpke/futWnTprkaGlFoufLKK23s2LE2evRoVxMzf/58GzhwoKu9kY4dO1qHDh1s6NChNmvWrBi/CwAAAABxWUOzadMmK1euXCjMyBlnnOFuQQ3NnDlzrGTJkta5c+fQPHpOp06dbM2aNa6WBwAAAIA/ikygqV69uu3bt8+2bNmSrr/Mtm3brFKlSu7/1atXW40aNVyICVenTp3Q4wAAAAD8UWSanN1+++22cOFCu//++23QoEFWpkwZ18xMzdD0mGzdutXq1auX4blB4Nm8eXOeDU6QkJCQJ8sCYungwYPuXjWYAIDCiWM1ipK0tLT4DTSnnHKK3Xnnnfboo4/atddeG5qu/1u0aOH+VrgpW7Zshucq/Mj+/fsLcI0BAAAA5FaRCTSqjVHnfw3F3K1bNytRooS9/fbbNmTIEEtJSXEjoB1JXtWq1K5d24oXL54nywJiqXTp0umaZQIACh+O1ShKVG5fsWJF/AWa3bt326uvvmo1a9a0qVOnWqlSpdz0q666yg3J/NRTT7kRz9R3Rv1qIgXTKlSoUODrDgAAACDOBwXQ6GSHDh2ydu3ahcJMQM3PdK2Z5cuXW9WqVW379u0Znq+BA6Ry5coFts4AAAAAcq9YUapqVRVVZh2LUlNTXbOZH374IUMtTdDhOTExsUDWFwAAAEDeKBKB5pxzznG1K7Nnz3Yd/wMKMdOnT3f9aRo3bmxt27Z1NTm6+GZAQz3PmDHDjX5WrVq1GL0DAAAAAEejSPShKVasmD3yyCN2991323XXXecunKkQM2/ePPv666/ddI2CpptGPBsxYoQlJSW5a9Io8OjaNcOGDYv12wAAAAAQj4FG1On/tddeszFjxtgLL7xghw8fdjU3w4cPt6uvvjrdaGijRo2yOXPmuGGaa9WqZePHj3c1OAAAAAD8UmQCjTRp0sQmTZqU5Tzly5d3F97UDQAAAIDfikQfGgAAAADxiUADAAAAwFsEGgAAAADeItAAAAAA8BaBBgAAAIC3CDQAAAAAvEWgAQAAAOAtAg0AAAAAbxFoAAAAAHiLQAMAAADAWwQaAAAAAN4i0AAAAADwFoEGAAAAgLcINAAAAAC8RaABAAAA4C0CDQAAAABvEWgAAAAAeItAAwAAAMBbBBoAAAAA3iLQAAAAAPAWgQYAAACAtwg0AAAAALxFoAEAAADgLQINAAAAAG8RaAAAAAB4i0ADAAAAwFsEGgAAAADeItAAAAAA8BaBBgAAAIC3CDQAAAAAvEWgAQAAAOAtAg0AAAAAbxFoAAAAAHiLQAMAAADAWwQaAAAAAN4i0AAAAADwFoEGAAAAgLcINAAAAAC8RaABAAAA4C0CDQAAAABvEWgAAAAAeItAAwAAAMBbBBoAAAAA3iLQAAAAAPAWgQYAAACAtwg0AAAAALxFoAEAAADgLQINAAAAAG8VqUBz4MABGzVqlLVq1crq169v7du3t7fffjvDPCNHjrSWLVu6ebp06WKLFy+O2ToDAAAAOHpFJtCkpqZanz59bNy4cS7QDBgwwE444QR78MEHbdq0aaH5+vXrZxMmTLDWrVu7eZKTk61Xr162dOnSmK4/AAAAgJwrYUXE7Nmz7YsvvrCHH37Yunfv7qbdcMMNdt1119mLL77oamKWLFli8+fPt4EDB9ott9zi5unYsaN16NDBhg4darNmzbKi5PHHH7ekpKRYrwY8Fuw/OlkAHK0qVarY4MGD2YAAgHxRZALNzJkzrVq1ata1a9fQtGLFitl9991nq1atsn379tmcOXOsZMmS1rlz59A85cqVs06dOrmmahs3brTq1atbUSqMbvrlVytWskKsVwW+KlbO3f26dVes1wSeSk3eE+tVAAAUcUUi0KjZ2DfffGPXXnutCzGyd+9eF1YuueQSd5PVq1dbjRo13PRwderUCT1elAKNKMyUP6tdrFcDQJzau35erFcBAFDEFYlA88svv7hQc+qpp9qkSZNcH5mtW7fa8ccf75qW3XHHHZaQkOCm1atXL8PzK1Wq5O43b96cJ+uzdu1a93qxdvDgwVivAgC4Y9GaNWvYEkA+/97zPUNRkJaWFp+B5o8//nD36gOza9cuu/POO11Ieeedd+y5556z/fv32wMPPOBqbcqWLZvh+WXKlHH3mg8AAACAP4pEoDl06JC737Rpkws15557rvv/iiuusB49ergam5tuuumIy8mrWpXatWtb8eLFLdZKly6tgapjvRoA4pyORUHTXgD58x0TvmcoClJSUmzFihXxN2xzUOui5mRBmAmoX42aoy1btsz1ndF1aCIF0ypUoPM8AAAAEDc1NOpzok74CgKxDAOnnHKKu69YsWKGx4Jpam5WtWpV2759e4Z5tm3b5u4rV66c7+sKAAAAoJAEGl3AUhevVKg58cQTbfjw4RlqSAqCXluhZv369VEHDAiug6Cq2HfffdfVyAT9ZsI70SUmJhbgWgMAAADIrVw1OWvSpIn179/fXdCyb9++7uJ7ut5LLLRv395dR+ajjz5K17fmjTfecLU0jRs3trZt27pp06ZNC82j9Z0xY4Zrrqbr2AAAAACIkxqal156yd3v2bPHmjdvbhdeeKELFG3atMkwb343SdPQzJ988on99a9/te7du7shnGfPnu1qbZ555hl3Qc0WLVq424gRI9xFJ3VNmunTp9uWLVts2LBh+bp+AAAAAApZoFENTSSFiIEDB2YYPezbb7+1/KTApNqY0aNHu2ZlGsq5Zs2aLnS1bNkyNJ8eHzVqlM2ZM8cN01yrVi0bP368q8EBAAAAEEeBJrMQoD4qGkJ5586d1qhRI6tbt64VBPXnGTJkiLtlpnz58jZo0CB3AwAAABDHgWbKlClZPq4aEw0U8OCDD+bmZQAAAAAg94MCqOZl6tSp1rt372zN361bN2vatKnrwwIAAAAAMa2hueSSS2z37t3Wo0ePbD/nnHPOcSEIAAAAAGIaaNSJ/rHHHrPrr78+289ZsWJFumu+AAAAAEBMAo36xIR38J88eXLU+VJTU1340fVpli1bZh07dsz9mgIAAABAbgJN5GhlQ4cOdUMyp6WlZfocXbBS14YBAAAAgEI1ylkQaCJpWqlSpdyFK2vXrp2blwAAAACA/Ak011577RHnOXTokG3evNmqV6+em5cCAAAAgNwN2xxJtS9jxozJcp4XX3wxR4MIAAAAAEC+1NCsXr3atm7dGvpffWc2bNhgn3zySdT5k5OT7dNPP7XDhw/n5GUAAAAAIO8Dza5du6xv376hfjO6nzdvnrtlRqGnXbt2OXkZAAAAAMj7QNO8eXN7+OGHbceOHS6oqLlZkyZN7MILL4w6f8mSJa1y5coEGgAAAACFY1CAbt26hf7+8ssv7brrruM6MwAAAAD8G+VsypQpebcmAAAAAFCQo5wBAAAAQCwRaAAAAAB4i0ADAAAAwFsEGgAAAADeItAAAAAAiM9RzgJ79+61jz/+2L777jvbv3+/HX/88XbOOedYy5YtrXz58nnxEgAAAACQ94FmwYIFNnDgQNu9e7e72GYgISHBjj32WBs2bJgLNgAAAABQoE3ONm/enGFaSkqKjR8/3v29evVqu+eee+zgwYN266232pgxY+ytt95yj/fu3dvNe99997maGwAAAAAo0EDTt29fmz17duj/rVu3Wvfu3UMX1Bw7dqwVL17c3nzzTevfv7+1bt3aEhMTrXnz5nb//ffba6+95uZ75ZVX8nzFAQAAACDLQHPo0CHXnOyJJ55w/1999dW2ceNGV+siy5YtszZt2ljt2rWjPr9OnTru8S+//JItDQAAAKBgA41qWG677TZ755133P87d+60Sy+91C6//HL3/759++ykk07K8gVOPPFE178GAAAAAAo00Cis/O1vf7OFCxe6/6+//nrXBO3GG290/1erVs0WL15sqampUZ+vPjRLliyx0047Lc9XHAAAAACydR2aChUquPvHH3/cnn32WdcUTdq3b2/ff/+9DR482NXWhPv9999dc7X//ve/bj4AAAAAiPmwze3atbOmTZu6v9Uc7bPPPrOZM2favHnz7LzzzrNjjjnGDR6gvja6Jk3Dhg2tZ8+eeb7iAAAAAHBU16GpWLGiuy9VqpRNmjTJxo0b55qiaZCAgJqZXXPNNXb77be7+QAAAACg0F1YU2FFwzvrtnfvXtuzZ4+VL18+1EwNAAAAAAptoAmnIFOiRAnbsmWLJSQkuP8BAAAAIKaDAkRasGCB6/D/3XffhaalpaXZM8884/rXtG3b1i644AJ3vRoNDgAAAAAAhaKG5uGHH7a33nrL/a1r0px77rnu71GjRrm+NKqZadasmbv/6KOP7IcffrBZs2bRjwYAAABAbGtoVDMzffp0q127tr366qsu0IhGNZswYYILMRraefz48e7xF154wQWayZMn5/2aAwAAAIh7OQo0M2bMsOOPP94FlObNm1vp0qXd9A8++MAOHz7sLrTZqVOn0PytW7e2Ro0auccBAAAAIKaBZuXKla5WJnIEs3//+9+udqZVq1YZnlO/fn376aefcr+mAAAAAJCbQLNr1y6rXLlyummpqamh689cdNFFGZ6jUc+Sk5Nz8jIAAAAAkPeDAhxzzDEZRi1TrY2uPVOyZElr0qRJhuds3LjRTjjhhJy8DPJQavIe27t+HtsUQMyOQWbHsfUBAIWjhiYxMdE1L1OtTOC9994L1c6ULVs23fzbt2+3zz//3D0PAAAAAGJaQ9O5c2fr27evPfDAA9a9e3f7/vvv7Z///KfrP6P/w+3YscNdh+bAgQPWoUOHvF5vZFOxkhWs/Fnt2F4AYoIaYgBAoQo0GrVMweX111+3Dz/8MHRBzW7dutkll1wSmu+OO+6wxYsX28GDB91FNtu0aZP3aw4AAAAg7uX4wpqDBw+2yy+/3BYuXOiGatbwzcH1aAIbNmyw8uXLW+/evV24AQAAAIBCEWjkggsucLfMzJo1K8PQzgAAAAAQ00EBsoswAwAAAMDbQAMAAAAABYFAAwAAAMBbBBoAAAAA3iLQAAAAAPBWkQw0v/76qzVq1MgefPDBdNN1kc+RI0day5YtrX79+talSxd3vRwAAAAAfipygUYX+nzooYds7969GR7r16+fTZgwwV0gdMCAAZacnGy9evWypUuXxmRdAQAAAOROkQs0r7/+ui1btizDdNXEzJ8/3/r372+DBg2ybt262dSpU61KlSo2dOjQmKwrAAAAgNwpUoHm559/tmeeecbuuuuuDI/NmTPHSpYsaZ07dw5NK1eunHXq1MnWrFljGzduLOC1BQAAAJBbRSbQpKamuj4ztWrVsptvvjnD46tXr7YaNWq4EBOuTp06occBAAAA+KWEFRGvvfaaCyWzZ8+2YsUy5rStW7davXr1MkyvVKmSu9+8eXOercvatWstISHBYu3gwYOxXgUAcMci1YQj89+v3377jc2DoxbsPz179mQr4qideOKJUSsFYtEfPi4DzYYNG+y5556ze++9184888yoBXkNElC2bNkM08uUKePu9+/fXyDrCgBAZGH0t+3brGLZ4mwYHJWKpf/vPm0PwRhHZ8f+FPOZ94EmJSXFBg4caLVr17Zbb731qJeTlzUqWpfixWP/w1S6tI5wB2K9GgDinI5FQfNeRN8+CjN9zz+JzQMgJsYs+1+hOVarbL9ixYr4CjQahllNzSZPnmw7d+500zQcsxw6dMh27NhhFSpUcH1ndB2aSME0zQMAAADAL94Hms8++8wOHz7shmGONHfuXHd76qmnrGrVqrZ9+/YM82zbts3dV65cuUDWFwAAAEDe8T7Q6AKZu3fvTjdNNTS9e/e2iy++2HWQO/vss921ad59911XIxP0m5Ggo2piYmKBrzsAAACAOA80devWzTAtGBTg5JNPtmbNmrm/27ZtazNmzLBp06bZLbfc4qbt27fPTdPoZ9WqVSvgNQcAAABg8R5osqtFixbuNmLECEtKSnLXpJk+fbpt2bLFhg0bFuvVAwAAAHAU4ibQyOjRo23UqFE2Z84cN0yzLsI5fvx4a9y4caxXDQAAAMBRKJKBRsPOrVu3LsP08uXL26BBg9wNAAAAgP+KxXoFAAAAAOBoEWgAAAAAeItAAwAAAMBbBBoAAAAA3iLQAAAAAPAWgQYAAACAtwg0AAAAALxFoAEAAADgLQINAAAAAG8RaAAAAAB4i0ADAAAAwFsEGgAAAADeKhHrFUD+Sk3eY3vXz2MzA4jZMcjsOLY+ACDfEGiKsCpVqsR6FeC5pKQkd8++hKN3HPsPACBfEWiKsMGDB8d6FeC5Pn36uPuxY8fGelUAAACiog8NAAAAAG8RaAAAAAB4i0ADAAAAwFsEGgAAAADeItAAAAAA8BaBBgAAAIC3CDQAAAAAvEWgAQAAAOAtAg0AAAAAbxFoAAAAAHiLQAMAAADAWwQaAAAAAN4i0AAAAADwFoEGAAAAgLcINAAAAAC8RaABAAAA4C0CDQAAAABvEWgAAAAAeItAAwAAAMBbBBoAAAAA3iLQAAAAAPAWgQYAAACAtwg0AAAAALxFoAEAAADgLQINAAAAAG8RaAAAAAB4i0ADAAAAwFsEGgAAAADeItAAAAAA8BaBBgAAAIC3CDQAAAAAvEWgAQAAAOAtAg0AAAAAbxWZQLNy5Uq7/fbbrXHjxpaYmGgdO3a02bNnp5vnwIEDNnLkSGvZsqXVr1/funTpYosXL47ZOgMAAADInSIRaNavX289evSwdevWWa9evax///5WtmxZGzBggE2cODE0X79+/WzChAnWunVr91hycrKbf+nSpTFdfwAAAABHp4QVAU8//bQVK1bM3nrrLatcubKb1r17d+vWrZs9//zz1rlzZ1eDM3/+fBs4cKDdcsstbh7V4nTo0MGGDh1qs2bNivG7AAAAABB3NTQpKSn21VdfWYsWLUJhRhRwrrjiCtu3b5+tXbvW5syZYyVLlnThJlCuXDnr1KmTrVmzxjZu3BijdwAAAAAgbmtoFFzeffddS0hIyPDYjh073H3x4sVt9erVVqNGDRdiwtWpU8fd6/Hq1asX0FoDAAAAyAveBxoFmdNPPz3DdNXMzJw50wWY8847z7Zu3Wr16tXLMF+lSpXc/ebNm/NsnVQjFC1gAb45ePCgu1ctJoD8/Z4BQKyPRWsKwe99Wlpa/DU5y2xDDBo0yLZv32633nqrlS5d2vbu3esGCohUpkwZd79///4YrCkAAACAuK6hiRZmhgwZYnPnzrULLrjA7rzzzmw9Ly9rVGrXru2auQG+08mA8KaZAPLne3ZgD1sWQOyPRXUKwe+9+sevWLEifgONhmF+8MEH7b333nPNy1566SU3EICo6ZmuQxMpmFahQoUCX18AAGTH/hQbs+x/bAwAMTsGVfV42xeZQKMmY3fffbctWrTI1cwozISHlKpVq7omaJG2bdvm7sNHSAMAAADghxJFpWbmrrvuss8//9xatmxpo0ePDjWVCagKTaOhqUYm6DcjQeenxMTEAl9vAACkYtni1vf8k9gYAGJijOc1xEViUABdPFNhplWrVvbCCy9kCDPStm1bO3TokE2bNi3dSGgzZsxwzdOqVatWwGsNAAAAwOK9hkZNxiZOnGglSpSwiy++2ObNm5dhnosuushdeFO3ESNGWFJSkrsmzfTp023Lli02bNiwmKw7AAAAgDgPNMuXL3dNzuSxxx6LOs+4cePc9WbUFG3UqFE2Z84c1+emVq1aNn78eGvcuHEBrzUAAACAvOB9oFFTsnXr1mVr3vLly7vr0+gGAAAAwH9Fog8NAAAAgPhEoAEAAADgLQINAAAAAG8RaAAAAAB4i0ADAAAAwFsEGgAAAADeItAAAAAA8BaBBgAAAIC3CDQAAAAAvEWgAQAAAOAtAg0AAAAAbxFoAAAAAHiLQAMAAADAWwQaAAAAAN4i0AAAAADwFoEGAAAAgLcINAAAAAC8RaABAAAA4C0CDQAAAABvEWgAAAAAeItAAwAAAMBbBBoAAAAA3iLQAAAAAPAWgQYAAACAtwg0AAAAALxFoAEAAADgLQINAAAAAG8RaAAAAAB4i0ADAAAAwFsEGgAAAADeItAAAAAA8BaBBgAAAIC3CDQAAAAAvEWgAQAAAOCtErFeAQAA4t2O/Sk2Ztn/Yr0aAOL4GFTV/EWgAQAghqpUqcL2R64kJSWxLyFXqnp+LCLQAAAQQ4MHD2b7I1f69Onj7seOHcuWRFyiDw0AAAAAbxFoAAAAAHiLQAMAAADAWwQaAAAAAN4i0AAAAADwFoEGAAAAgLcINAAAAAC8RaABAAAA4C0CDQAAAABvEWgAAAAAeCsuA83mzZvt/vvvt6ZNm9r5559vffv2tU2bNsV6tQAAAADkUAmLMzt37rSbbrrJ9uzZYzfffLOVKlXKJkyYYN27d7fZs2dbxYoVY72KAAAAALIp7gLNpEmT7JdffrEZM2ZY3bp13bQWLVpYx44dbdy4cTZgwIBYryIK0JtvvmmLFi1im2ciKSnJ3ffp04dtlAUdQ7p27co2AvIBx+kj41h9ZByni7a4a3L23nvvWYMGDUJhRmrWrOman+kxAP9flSpV3A0AUHhxrEa8i6saml27drm+MpdeemmGx+rUqWNffPGFbdu2zSpVqhST9UPB01l1zqwDQOHFcRrAkcRVDc3WrVvdfeXKlTM8FoSYoNoWAAAAQOEXVzU0e/fudfdly5bN8FiZMmXc/b59+3L9OmvXrrWEhIRcLwcAAACIJ2lpaTl+TrF43EBZhQ2CCAAAAOCPuKqhKVeunLvfv39/hscOHDjg7itUqJDr16ldu7YVL14818sBAAAA4klKSoqtWLEiR8+JqxqaU0891d1v3749w2MaDCCz/jUAAAAACqe4CjTHHHOMVatWzdasWZPhMU075ZRT7OSTT47JugEAAADIubgKNNK2bVtbtmxZulDz/fff25IlS+yqq66K6boBAAAAyJm46kMjPXv2tNmzZ7t73YoVK2YTJ050Tc30PwAAAAB/xF0NzfHHH29vvPGGNWrUyMaOHWuvvPKKNWzY0CZPnmwVK1aM9eoBAAAAyIG4q6GR008/3YUZAAAAAH6LuxoaAAAAAEUHgQYAAACAtwg0AAAAALwVl31o8kNaWlq6K5wCAAAAyJnwcnR4+TorBJo8kpqaGvp71apVebVYAAAAwOK9fJ0VmpwBAAAA8FZCWnbrcnDEBHn48GH3ty7WmZCQwBYDAAAAckDRJKiZKVGihCtXHwmBBgAAAIC3aHIGAAAAwFsEGgAAAADeItAAAAAA8BaBBgAAAIC3CDQAAAAAvEWgAQAAAOAtAg0AAAAAbxFoAAAAAHiLQAMAAADAWwQaAAAAAN4i0AAAAADwFoEGAAAAgLcINAAAAAC8RaABCrEXXnjBatWqleVt1qxZofnWr1+fJ6/7yy+/uOWNHDkyNK1Vq1bWuXPnPFk+ABR2//nPf9xxUMfXeBTtdwAorErEegUAHNkdd9xhZ555ZtTHGjVqZOedd55Vq1bNKleunG+b86GHHrLSpUvn2/IBAIVHxYoVbfjw4VazZs1YrwpwRAQawAPNmjWzCy+8MMt5zj333HxdhzZt2uTr8gEAhUe5cuXs6quvjvVqANlCkzMAAAAA3iLQAEVAZB8a9avR/6tWrbKBAwe62p369evbrbfeat9991265x48eNBGjBhhl1xyiZvntttus40bN2Z4jcg+ND169HC3JUuWWJcuXaxevXrWvHlze/LJJ+3AgQPpnvvTTz/Z3XffbRdccIE1btzYHnzwQfvkk0/cOqqdekDTrr/+eteMrmHDhta1a1ebP39+PmwxAMgZHbf+/Oc/28qVK6179+7ueNmiRQt75ZVXLC0tzaZOnepqsnXsuuGGG+zbb7/N0B9Hx7OHH37YmjRp4o6H99xzj23atCnd6wT9VvRYYmKiXXrppbZr1y73mF67V69e7hjZoEEDu/HGG23x4sXpnp+cnGxPP/20W1c9/+KLL7b+/fvb5s2b08331ltvuRoYLUfH5Z49e9rSpUuP2Idm9uzZdu2117pl63306dPH1q1bl26enPw+AHmBJmeAB/744w/bsWNHhunly5fPsl/Lvffea6effrr7Ydy2bZtNmDDBbr/9dlu4cKGVKPF/X/++ffvaokWL3A9U3bp13d8KH9nx448/uh8zPfe6665zP9aTJ0+2kiVLuh9Q2bJliwsmhw4dsptuuskqVKhg06dPd+sQTj+kWk8VEvr16+emab677rrLJk6caBdddFGOthkA5LXff//dFfwVBK666ioXCp555hn76quv3AklFeJ1kugf//iHO3Z98MEHVqpUqdDzVaDX8VH9Infv3m2vvfaaLV++3N555x078cQTQ/O9/vrrrm/koEGD7LfffrPjjjvOBRcdv9WfUsuWOXPmuJNQo0aNsrZt27ppTzzxhDt2KnQpkCiY6Lj89ddf27x589zr617LbtmypTs+79+/3wWyW265xa3LWWedFfX9P/vss+69KVD99a9/de9B66oAp/ei4JKT3wcgrxBoAA8odESj2hf9AGVGP0rjxo0L/a8Q8+KLL7qzhTpb9tlnn7kAc99999mdd97p5tGPoJarWp4j2b59u/shbdeunfu/U6dOdtlll7kf2eAHS7VHKgTMmDHD6tSp46apFkaFgXBz5861w4cPu/VTZ1TRcvVDqbN/BBoAheHkkgryChaimg0dy7788kv78MMP7ZRTTnHTFRBefvllV6hXqAgo7OjYesIJJ7j/zz//fLcshQQNvBJQjY+m6QSQpKamupodddD/5z//6UKBqIZGN4UY1aIrPCmQ/OlPf3KBJVClShV74403XG2QApFqWXRC7KWXXrKEhIRQX02dVFItfrRAo8Cm3xPV+KhWqnjx4m76Nddc47aB1k/LzcnvA5BXaHIGeGDAgAGuliLydvnll2f5vCuuuCLd/7Vr1w790Minn37q7hUawt18883ZWi/9qKpZQ6BYsWLux/t///tf6EdZZ+WaNm0aCjNyzDHHuOAULigIPP7447Z69Wr3t370VUjIKrQBQEEKP+7WqFHD3atmIjiGyWmnnZbuWBtQbUgQZkTB45xzzrEFCxakm0/HyyDMyNq1a+3nn392TdqCGnvd9uzZ46bpdYLjpka71Ekr1ZgEx2Id4999993QaJla171797ogFDRV1rFbx9srr7wy6vvWOipY/eUvfwmFmeC9dujQwa2jaoOy+/sA5CVqaAAP6MftSKOcRRPehEGCpg/6URL9+KgpQ/gPrGTW3CCSgklwpjD8NYLl79y5092qV6+e4bmRw1DrLOO///1v1xRCt5NPPtn92Ktpx9G8dwDID+HH1aDpbuSxNijwB8fCwNlnn51heTo+qgmuTgAFtSWRy1M/RBk9erS7RaM+MmoKppNCam48dOhQe+qpp1zTNdXeqGY8GNpftf7ffPONa2amm0KJ+uqoeVj4yadwQViJdgmB4Dfj119/DYW5I/0+AHmJQAMUYcGPY1aPqwlEpOz+4OiMW1bUhEzC25AHIvv+qPmDzihqIAMNDvD555/b22+/bTNnznTtxbPbrwcA8lMQYnJyrA1EFvAlJSXFHUvDlxFeAxJ+TFafFHXEjyYISxpsQAFJNfD/+te/7IsvvnBNf9WH8s0333S1JAo2Or6q76Lm1fFWwUb9YdTPR31eIilwhd9Heyz8/R3p9wHIS+xtQBzTgAEacSYpKSnd9MhRd46WzjIqqEQbNS044xj+msuWLXMj56hPj/rcqImDzl7qhzjajygA+ETNxqIdC88444wsn3fqqae6+zJlyri+LuE3HWc16ErZsmXdCGc6KaRBYDRIgGpo1FdSfVnUxGzatGluOWpmtmbNGhd+1KRZ/VrUj1E19jreRhPUvGzYsCHDY8G08GZ3QEEi0ABxLGjfHD5wgGgkmrygM3R6DTUlC/8RVIjSKDzhnnvuOTestH6IwzuyVqpUKcPZSwDwkTr0h9eKq3ZE4SIYoSwzGoFSx0LVogRDOIuCjAKJOvOrRlzLVv/EYcOGpXu+Ro8Mr/n5+9//7mp79u3bF5pHTcmOPfbYTGtWWrdu7Y7DGhBAtUrhTd3UP0cXd65atWqOtwmQF2hyBsQx9U1p3769a2agoUF1tk7Dj4ZfGya31JZbTR/UGVZDmqqjq5o6BDU0QVBRmPnoo49cXxpd70Y/rLqGgUYP0hCnAOA71Yarg75GBtu6datNmTLFDSygoZezoqZcGkVMx1M9V8dI9VHRqGLqjK+R14K+kAo0qmVRM12NZqkR13QCSbU76kcjvXv3doFGx1v1U1SzYA3gohokDRQQjfrJaD3Hjx/vnqdBZzRss0ZPUw36I488kg9bDMgeAg0Q53QBNv1QqYmXzhaqA6lqbKK1oT4aOmOnwKTX0Q+hzhBqlCAFKV3QM+hfozOQGrlt7Nixbj6N3qPmZhp6VD+eAOA7Naf9/vvvXRMwNRHr2LGj3X///VauXLkjPle13ZMmTXJDLQcX81StyvDhw10oCSjcaFAVDQ+tYfnV50eDBegYHAwhrUECxowZY6+++qq7V82ORlvTRTR1bM6MhltWANMxXcdvNSnWiTD1c9SQ0kCsJKTRMB1APlLNj64rE9lkTD/IuiCdzgqqLw8AFFWq9daFhYcMGeJqqwHkLfrQAMhXDzzwgDuzGN7mWn+reZmCTtDZFQAA4GjQ5AxAvlJTiIEDB7o+MmpqpkphXbxNI/HoOgkM7QkAAHKDQAMgX+lCbeqMqrbfajeu6yloNBz1ldGoOQAAALlBHxoAAAAA3qIPDQAAAABvEWgAAAAAeItAAwAAAMBbBBoAAAAA3iLQAAAAAPAWgQYAAACAtwg0AIC48+OPP9r777+fblqtWrXchWABAH4h0AAA4sp3331n7du3t+XLl6ebftddd9kNN9wQs/UCABydEkf5PAAAvLRr1y5LTk7OMP3uu++OyfoAAHKHGhoAAAAA3iLQAABi4vDhw/biiy+65l8NGjSwCy64wHr27GmLFy9ON9+ePXts5MiR1qZNG6tbt661aNHCHnnkEfvtt98yLHP//v32/PPPW9u2ba1+/frWqlUre/TRR23Hjh3u8RdeeMFuuukm9/fkyZNdv5n//Oc/mfah+eOPP2z48OGh127WrJn169fP9cEJN2vWLPd8rfv48ePtsssuc/PreS+99JKlpKTk+fYDAPwfAg0AICYef/xxFzCOP/546969uwsh33zzjQs1QchQoOjatauNGzfOTjvtNBdGGjZsaNOnT7frr7/etm3bli7MaN4xY8ZYhQoVXH8YhYw33njDbr75ZheMFJquueYaN78Cj/rNnHrqqVHX7/fff3evoYBy4oknunVU8Jo3b5516tTJrWukESNGuJB2/vnnu/kPHDhgzz33nAtZAIB8kgYAQAH7448/0s4999y07t27p5u+cuXKtJo1a6bdfffd7v8hQ4a4/6dOnZpuvvnz57vp99xzT2jac88956Y9+eSTaampqaHpL7/8sps+YcIE9/+SJUvc/0888US6ZWpahw4dQv8PHDjQTRs1alS6+T799NO0WrVqpV122WVphw8fdtNmzpzp5j3//PPTNm7cGJp306ZNaXXq1Elr1qxZrrYXACBzDAoAAChwqampOqFmSUlJtn37djv55JPd9MTERJs/f76dcsoprkna7Nmz7ZxzznG1HeFat25tjRo1so8//tjVvKhGZu7cue5eTcISEhJC89544422e/duO/vss7O9focOHXLLU+3NPffck+6xSy65xDUp+/DDD23p0qV24YUXhh7T9DPOOCP0v2qVzjrrLDey2sGDB6106dJHtb0AAJkj0AAACtyxxx5r7dq1c6GhZcuWrhnZn/70J/d3EDz++9//2r59+1z/EzVNi6SAoMfWrVtn5513nv3000/WpEmTDKGhfPny9re//S1H66c+MmouptBUrFjG1tlqUqZAo6ASHmiqV6+eYd5jjjkmFJIINACQ9wg0AICYePrpp13HeXWo//LLL91Nnf817YknnnBhRjZs2OD6pWQ1DLNqYEQ1NHlBtT7hYSRSpUqV3L1CT7hSpUplmDeoLVKNFAAg7xFoAAAxUbJkSbvtttvcbfPmzfbFF1/YBx98YJ9//rn95S9/sVdeecXNp5HHNNJYVjR4gOzduzfq4wpH5cqVy/a6qVZHtm7dGvXxIEBpQAMAQGwxyhkAoMBt2rTJnn32WVu4cKH7v2rVqqERxZo2bRoKEqrxWLNmTdTajUmTJtnYsWPdaGSqSalSpYqtXbvWNe0Kp/+bN2/ugpOE96/JzJlnnumah61atSrD8uSrr75y9znplwMAyB8EGgBAgStTpowbinn06NHpAoP+1iABCjLqUK9+Nj/88INNnDgx3fM1rLNqbWbOnGnHHXecm9ahQwdXU6Nhm8PpejOqobnooovc/yVK/F/jhOTk5EzXT69/5ZVXumGhI4dc/uyzz+z99993nf/VxwYAEFs0OQMAFDiNaqZrwyioXHXVVW7kMHW+X7Roka1fv9769Onj+sMMGDDAvv76a9ff5pNPPrF69eq52puPPvrIBZOhQ4eGOu2rmdqnn35qL7/8sqtB0XVm1P9G0/Q8vZ5UrlzZ3SuUqBmarkujkdQiaSCB5cuXu+Cl5WngAtUsLViwwDVJ0zVnslPbAwDIX9TQAABiQoFhyJAhLri8/fbb7mKZCgrDhg2ze++9181TsWJFN13NxRRkpkyZ4oZKbtWqlZsePsKYnquLaOrCnFu2bHE1M2qupmGbJ0yYEOqwr6GY77vvPhdGXn/9dVu5cmXU9Qt/bdUaTZ061TVB69ixoxvIQIEJABB7CboYTaxXAgAAAACOBjU0AAAAALxFoAEAAADgLQINAAAAAG8RaAAAAAB4i0ADAAAAwFsEGgAAAADeItAAAAAA8BaBBgAAAIC3CDQAAAAAvEWgAQAAAOAtAg0AAAAAbxFoAAAAAHiLQAMAAADAWwQaAAAAAOar/wdnyccxz3D6PAAAAABJRU5ErkJggg==", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Boxplot: Findings vs Impression\n", "combined = pd.concat([\n", " df[[\"findings_len\"]].rename(columns={\"findings_len\": \"words\"}).assign(section=\"Findings\"),\n", " df[[\"impression_len\"]].rename(columns={\"impression_len\": \"words\"}).assign(section=\"Impression\"),\n", "]).dropna()\n", "\n", "fig, ax = plt.subplots(figsize=(7, 4))\n", "sns.boxplot(data=combined, x=\"section\", y=\"words\",\n", " palette=[\"#4C72B0\", \"#DD8452\"], showfliers=False, ax=ax)\n", "ax.set_title(\"Findings vs Impression — độ dài (no outliers)\")\n", "ax.set_ylabel(\"Số từ\")\n", "plt.tight_layout()\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 18, "metadata": {}, "outputs": [ { "data": { "image/png": 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Median length per subset\n", "med_subset = df.groupby(\"subset\")[[\"findings_len\",\"impression_len\"]].median().reindex(ALL_SUBSETS)\n", "\n", "med_subset.plot(kind=\"bar\", figsize=(12, 4),\n", " color=[\"#4C72B0\", \"#DD8452\"], width=0.7)\n", "plt.title(\"Median độ dài Findings & Impression theo subset\")\n", "plt.xlabel(\"Subset\")\n", "plt.ylabel(\"Median (số từ)\")\n", "plt.xticks(rotation=0)\n", "plt.legend([\"Findings\", \"Impression\"])\n", "plt.tight_layout()\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 19, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\n", "=== Findings length per subset ===\n", " count mean 25% 50% 75% 95% max\n", "subset \n", "p10 14430.0 49.0 34.0 46.0 61.0 91.0 291.0\n", "p11 15856.0 49.0 33.0 46.0 61.0 91.0 251.0\n", "p12 15527.0 49.0 33.0 45.0 60.0 90.0 267.0\n", "p13 15654.0 49.0 33.0 45.0 61.0 90.0 275.0\n", "p14 15437.0 49.0 33.0 45.0 60.0 90.0 282.0\n", "p15 16083.0 49.0 33.0 45.0 61.0 91.0 219.0\n", "p16 15609.0 49.0 33.0 46.0 61.0 92.0 281.0\n", "p17 15514.0 49.0 33.0 45.0 61.0 90.0 351.0\n", "p18 15648.0 49.0 33.0 45.0 60.0 90.0 272.0\n", "p19 15702.0 50.0 33.0 46.0 61.0 92.0 307.0\n", "\n", "=== Impression length per subset ===\n", " count mean 25% 50% 75% 95% max\n", "subset \n", "p10 17840.0 26.0 6.0 19.0 40.0 74.0 352.0\n", "p11 19849.0 27.0 6.0 19.0 40.0 74.0 387.0\n", "p12 18993.0 26.0 6.0 18.0 39.0 74.0 275.0\n", "p13 19553.0 27.0 6.0 19.0 40.0 74.0 266.0\n", "p14 19341.0 27.0 6.0 18.0 40.0 76.0 223.0\n", "p15 19965.0 27.0 6.0 19.0 40.0 74.0 295.0\n", "p16 18534.0 26.0 6.0 17.0 38.0 74.0 259.0\n", "p17 19212.0 26.0 6.0 19.0 39.0 74.0 328.0\n", "p18 19525.0 27.0 6.0 19.0 40.0 74.0 276.0\n", "p19 19196.0 27.0 6.0 19.0 40.0 75.0 283.0\n" ] } ], "source": [ "# Heatmap percentile độ dài theo subset\n", "for col, label in [(\"findings_len\", \"Findings\"), (\"impression_len\", \"Impression\")]:\n", " pct_data = df.groupby(\"subset\")[col].describe(\n", " percentiles=[.25, .5, .75, .95]\n", " )[[\"count\", \"mean\", \"25%\", \"50%\", \"75%\", \"95%\", \"max\"]].reindex(ALL_SUBSETS).round(0)\n", " print(f\"\\n=== {label} length per subset ===\")\n", " print(pct_data.to_string())" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## 7. Reports \"has neither\" — phân tích thêm" ] }, { "cell_type": "code", "execution_count": 20, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Reports không có cả findings lẫn impression: 10,530\n", "\n", "Phân bố n_sections của những report này:\n", "n_sections\n", "0 1158\n", "1 8433\n", "2 866\n", "3 65\n", "4 8\n", "\n", "Top section headers trong reports 'neither':\n", " 4,903 REASON FOR EXAMINATION\n", " 3,350 REASON FOR EXAM\n", " 762 COMPARISON\n", " 689 HISTORY\n", " 232 INDICATION\n", " 113 CLINICAL HISTORY\n", " 61 ADDENDUM\n", " 60 REFERENCE EXAM\n", " 60 EXAMINATION\n", " 49 COMPARISONS\n", " 40 TYPE OF EXAMINATION\n", " 26 TECHNIQUE\n", " 11 STUDY\n", " 7 EXAM\n", " 7 CLINICAL INFORMATION\n" ] } ], "source": [ "neither_df = df[df[\"status\"] == \"neither\"].copy()\n", "print(f\"Reports không có cả findings lẫn impression: {len(neither_df):,}\")\n", "print(f\"\\nPhân bố n_sections của những report này:\")\n", "print(neither_df[\"n_sections\"].value_counts().sort_index().head(10).to_string())\n", "\n", "# Xem top headers trong những report này\n", "neither_headers = Counter()\n", "for row in neither_df[\"section_headers\"]:\n", " if isinstance(row, str):\n", " for h in row.split(\"|\"):\n", " if h:\n", " neither_headers[h] += 1\n", "\n", "print(\"\\nTop section headers trong reports 'neither':\")\n", "for h, c in neither_headers.most_common(15):\n", " print(f\" {c:>6,} {h}\")" ] }, { "cell_type": "code", "execution_count": 21, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\n", "============================================================\n", "s56561527.txt (sections: REASON FOR EXAMINATION)\n", " FINAL REPORT\n", " REASON FOR EXAMINATION: Emesis, suspected gastric distention.\n", " \n", " AP radiograph of the chest was reviewed in comparison to ___.\n", " \n", " The heart size and mediastinum are unremarkable. The lungs are essentially\n", " clear except for potentially mild progression of the left retrocardiac opacity\n", " concerning for atelectasis or infection. No other abnormality demonstrated.\n", "\n", "\n", "============================================================\n", "s57669093.txt (sections: REASON FOR EXAM)\n", " FINAL REPORT\n", " SINGLE FRONTAL VIEW OF THE CHEST\n", " \n", " REASON FOR EXAM: Assess ET tube.\n", " \n", " ET tube tip is in standard position, 5 cm above the carina. Cardiomediastinal\n", " contours are normal. The lungs are clear.\n", "\n", "\n", "============================================================\n", "s55759470.txt (sections: )\n", "[file not found]\n" ] } ], "source": [ "# Vài ví dụ report có neither\n", "import random\n", "random.seed(0)\n", "sample_neither = neither_df.sample(min(3, len(neither_df)), random_state=0)\n", "for _, row in sample_neither.iterrows():\n", " path = CXR_ROOT / \"files\" / row[\"subset\"] / f\"p{row['subject_id']}\" / f\"s{row['study_id']}.txt\"\n", " print(f\"\\n{'='*60}\")\n", " print(f\"s{row['study_id']}.txt (sections: {row['section_headers']})\")\n", " try:\n", " print(path.read_text(encoding=\"utf-8\", errors=\"ignore\")[:600])\n", " except:\n", " print(\"[file not found]\")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## 8. Số section mỗi report" ] }, { "cell_type": "code", "execution_count": 22, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Phân bố số sections mỗi report:\n", "n_sections\n", "0 1158\n", "1 8738\n", "2 21910\n", "3 44495\n", "4 52810\n", "5 56885\n", "6 35506\n", "7 5623\n", "8 643\n", "9 55\n", "10 4\n", "11 4\n", "12 1\n", "14 1\n", "17 1\n", "21 1\n" ] }, { "data": { "image/png": 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "sec_dist = df[\"n_sections\"].value_counts().sort_index()\n", "print(\"Phân bố số sections mỗi report:\")\n", "print(sec_dist.head(20).to_string())\n", "\n", "fig, ax = plt.subplots(figsize=(11, 4))\n", "sec_clip = sec_dist[sec_dist.index <= df[\"n_sections\"].quantile(0.99)]\n", "ax.bar(sec_clip.index.astype(str), sec_clip.values, color=\"steelblue\")\n", "ax.set_xlabel(\"Số sections\")\n", "ax.set_ylabel(\"Số report\")\n", "ax.set_title(\"Phân bố số sections mỗi report (≤p99)\")\n", "ax.axvline(str(int(df[\"n_sections\"].median())), color=\"black\", ls=\"--\",\n", " label=f\"Median={df['n_sections'].median():.0f}\")\n", "ax.legend()\n", "plt.tight_layout()\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## 9. Summary" ] }, { "cell_type": "code", "execution_count": 23, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "============================================================\n", " MIMIC-CXR Report EDA Summary\n", "============================================================\n", " Total reports parsed : 227,835\n", " Distinct section headers : 485\n", "\n", " Has findings : 155,460 (68.2%)\n", " Has impression : 192,008 (84.3%)\n", " Has BOTH (usable) : 130,163 (57.1%)\n", " Has neither : 10,530 (4.6%)\n", "\n", " Findings median length : 45 words\n", " Impression median length : 19 words\n", "============================================================\n" ] } ], "source": [ "print(\"=\"*60)\n", "print(\" MIMIC-CXR Report EDA Summary\")\n", "print(\"=\"*60)\n", "print(f\" Total reports parsed : {total:,}\")\n", "print(f\" Distinct section headers : {len(header_df)}\")\n", "print()\n", "print(f\" Has findings : {has_f:,} ({has_f/total*100:.1f}%)\")\n", "print(f\" Has impression : {has_i:,} ({has_i/total*100:.1f}%)\")\n", "print(f\" Has BOTH (usable) : {has_both:,} ({has_both/total*100:.1f}%)\")\n", "print(f\" Has neither : {has_neither:,} ({has_neither/total*100:.1f}%)\")\n", "print()\n", "print(f\" Findings median length : {df['findings_len'].median():.0f} words\")\n", "print(f\" Impression median length : {df['impression_len'].median():.0f} words\")\n", "print(\"=\"*60)" ] } ], "metadata": { "kernelspec": { "display_name": "Python 3", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.11.7" } }, "nbformat": 4, "nbformat_minor": 5 }