feat: implement logistic regression pipeline with automated JASP-formatted report generation and data inspection utilities

Project_Code_and_Results/Utils/inspect_ket_qua.py

@@ -0,0 +1,22 @@
+import sys
+sys.stdout.reconfigure(encoding='utf-8')
+import pandas as pd
+import os
+
+file_path = r'c:\Users\NASPC\Documents\Du án tại SG tháng 8\KẾT QUẢ PHÂN TÍCH.xlsx'
+
+if not os.path.exists(file_path):
+    print("File not found")
+    sys.exit()
+
+print(f"Reading file: {file_path}")
+xl = pd.ExcelFile(file_path)
+print(f"Sheet names: {xl.sheet_names}\n")
+
+for sheet in xl.sheet_names:
+    print(f"--- Sheet: {sheet} ---")
+    df = xl.parse(sheet)
+    print(f"Shape: {df.shape}")
+    print(f"Columns: {list(df.columns)}")
+    print(f"First few rows:\n{df.head(3)}\n")
+