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+# Task #100: Basic Data Cleaning using pandas
+import pandas as pd
+
+# Read dataset (you can replace this with your CSV path)
+data = pd.read_csv("data.csv")
+
+# Show first few rows
+print("Before Cleaning:\n", data.head())
+
+# Drop rows with missing values
+data_cleaned = data.dropna()
+
+# Rename columns (example)
+data_cleaned = data_cleaned.rename(columns={'OldColumnName': 'NewColumnName'})
+
+# Reset index
+data_cleaned.reset_index(drop=True, inplace=True)
+
+# Save cleaned data
+data_cleaned.to_csv("cleaned_data.csv", index=False)
+
+print("\nAfter Cleaning:\n", data_cleaned.head())
+print("\n✅ Data cleaned and saved as 'cleaned_data.csv'")