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OpenAdaptAI · Feb 29, 2024 · 48690e5 · 48690e5
1 parent e2f1268
commit 48690e5
Showing 1 changed file with 22 additions and 22 deletions.
diff --git a/experiments/pm4py/00. pm4py simple.ipynb b/experiments/pm4py/00. pm4py simple.ipynb
@@ -31,21 +31,21 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "## 과정 및 참고\n",
-    "- 각종 라이브러리 import\n",
-    "- csv 파일 읽기\n",
-    "- xes 포맷 변경\n",
-    "- xes 필터링 (필요시)\n",
-    "- 각종 알고리즘 도식화\n",
-    "- 참고 url : https://pm4py.fit.fraunhofer.de/\n",
-    "- 참고 url : https://process-mining.tistory.com/140"
+    "## Process and Notes\n",
+    "- Import various libraries\n",
+    "- Read CSV files\n",
+    "- Change to XES format\n",
+    "- Filtering XES (if necessary)\n",
+    "- Visualize various algorithms\n",
+    "- Reference URL: https://pm4py.fit.fraunhofer.de/\n",
+    "- Reference URL: https://process-mining.tistory.com/140\n"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "## 0. 각종 라이브러리 import"
+    "## 0. Import various libraries\n"
    ]
   },
   {
@@ -96,8 +96,8 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "## 1. csv 파일 읽어오기\n",
-    " - CSV 파일 다운로드 경로 : https://pm.fit.fraunhofer.de/static/assets/data/getting_started/running-example.csv"
+    "## 1. Reading CSV files\n",
+    " - CSV file download path: https://pm.fit.fraunhofer.de/static/assets/data/getting_started/running-example.csv"
    ]
   },
   {
@@ -620,20 +620,20 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "## 2. xes 포맷 변경"
+    "## 2. Change to XES format"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 18,
+   "execution_count": 1,
    "metadata": {},
    "outputs": [],
    "source": [
     "## 2.1. EDA\n",
     "def _21_plot_xes(event_log_xes):\n",
-    "    # activity 목록 도출\n",
+    "    # Derive list of activities\n",
     "    activities = attributes_filter.get_attribute_values(event_log_xes, attribute_key=\"concept:name\")\n",
-    "    # resource 목록 도출\n",
+    "    # Derive list of resources\n",
     "    resources = attributes_filter.get_attribute_values(event_log_xes, attribute_key=\"resource\")\n",
     "\n",
     "    fig, ax = plt.subplots(nrows=1, ncols=2, figsize=(25,10))\n",
@@ -741,7 +741,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "## 3. 필터링 예시"
+    "## 3. Filtering examples"
    ]
   },
   {
@@ -802,12 +802,12 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "## 4. 각종 알고리즘 도식화\n",
-    "- 사전에 Graphviz 설치되어 있어야 함 : https://graphviz.org/download/\n",
-    "  - 가급적 낮은 버전 \n",
-    "  - 32 또는 64 비트 확인 \n",
-    "  - 설치시 PATH 자동설정 옵션 선택 \n",
-    "  - python (vs 코드 또는 jupyter 재실행-pc 재부팅 불필요)"
+    "## 4. Visualization of Various Algorithms\n",
+    "- Graphviz must be installed beforehand: https://graphviz.org/download/\n",
+    "  - Preferably a lower version\n",
+    "  - Check whether 32 or 64 bit\n",
+    "  - Select the option to set PATH automatically during installation\n",
+    "  - Restart Python (VS Code or Jupyter - no need to reboot PC)\n"
    ]
   },
   {