diff --git a/BankCleaner.py b/BankExcelCleaner.py
similarity index 85%
rename from BankCleaner.py
rename to BankExcelCleaner.py
index 60918e5..a055828 100644
--- a/BankCleaner.py
+++ b/BankExcelCleaner.py
@@ -31,7 +31,11 @@ df["text"] = df["text"].replace(r"[\r\n]+", " ", regex=True)
 # 7. Remove "#" characters from the 'text' column
 df["text"] = df["text"].replace(r"#", "", regex=True)
 
-# 8. Prompt user for the output Excel file location
+# 8. Reorder columns
+desired_order = ["time", "text", "url", "topReactionsCount", "viewsCount", "likes"]
+df = df[desired_order]
+
+# 9. Prompt user for the output Excel file location
 output_file_path = filedialog.asksaveasfilename(
     title="Save Cleaned Excel File",
     defaultextension=".xlsx",
@@ -41,6 +45,6 @@ if not output_file_path:
     print("No output file specified. Exiting.")
     exit()
 
-# 9. Write the cleaned data to a new Excel file
+# 10. Write the cleaned data to a new Excel file
 df.to_excel(output_file_path, index=False)
 print(f"Cleaned Excel file saved to: {output_file_path}")