🧠 AI with Python – ⚖️ Standardize Your Data with StandardScaler

# Import StandardScaler for standardization
# Import pandas for handling tabular data
from sklearn.preprocessing import StandardScaler
import pandas as pd

# Create a sample dataset
data = {
    'Age': [22, 25, 47, 52, 46],        # Small scale feature
    'Income': [18000, 24000, 52000, 58000, 60000]  # Large scale feature
}

# Convert the dictionary into a pandas DataFrame
df = pd.DataFrame(data)

# Display the original data
df

# Initialize the scaler
scaler = StandardScaler()

# Fit the scaler on the data and transform it
# Returns a NumPy array with standardized values
standardized = scaler.fit_transform(df)

# Convert the standardized array back into a DataFrame
# Use original column names for readability
standardized_df = pd.DataFrame(standardized, columns=df.columns)

# Display the standardized data
standardized_df

# Compare the original and standardized values
print("Original Data:")
print(df)

print("\nStandardized Data:")
print(standardized_df)