Center and scale manually
We've loaded the same dataset named data. Now your goal will be to center and scale them manually.
Libraries pandas, numpy, seaborn and matplotlib.pyplot have been loaded as pd, np, sns and plt respectively. Feel free to explore the dataset in the console.
Questo esercizio fa parte del corso
Customer Segmentation in Python
Istruzioni dell'esercizio
- Center the data by subtracting average values from each entry.
- Scale the data by dividing each entry by standard deviation.
- Combine two above actions and normalize the data by applying both centering and scaling.
- Print summary statistics to make sure average is zero and standard deviation is one, and round the output to 2 decimals.
Esercizio pratico interattivo
Prova a risolvere questo esercizio completando il codice di esempio.
# Center the data by subtracting average values from each entry
data_centered = data - data.____()
# Scale the data by dividing each entry by standard deviation
data_scaled = ____ / ____.____()
# Normalize the data by applying both centering and scaling
data_normalized = (____ - data.____()) / data.____()
# Print summary statistics to make sure average is zero and standard deviation is one
print(data_normalized.____().round(____))