Calculate RFM Score

Great work, you will now finish the job by assigning customers to three groups based on the MonetaryValue percentiles and then calculate an RFM_Score which is a sum of the R, F, and M values.

The datamart has been loaded with the R and F values you have created in the previous exercise.

Deze oefening maakt deel uit van de cursus

Customer Segmentation in Python

Cursus bekijken

Oefeninstructies

Create labels for MonetaryValue with an increasing range of 1 through 3.
Assign these labels to three equal percentile groups based on MonetaryValue.
Create new column M based on the MonetaryValue percentile group.
Calculate RFM_Score based on the sum of R, F, and M column values.

Praktische interactieve oefening

Probeer deze oefening eens door deze voorbeeldcode in te vullen.

# Create labels for MonetaryValue
m_labels = range(1, ____)

# Assign these labels to three equal percentile groups 
m_groups = pd.qcut(datamart['MonetaryValue'], q=____, labels=____)

# Create new column M
datamart = datamart.assign(____=____)

# Calculate RFM_Score
datamart['RFM_Score'] = datamart[['R','F','M']].____(axis=____)
print(datamart['____'].head())

Code bewerken en uitvoeren