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  3. Customer Segmentation in Python

Exercise

Prepare data for the snake plot

Now you will prepare data for the snake plot. You will use the 3-cluster RFM segmentation solution you have built previously. You will transform the normalized RFM data into a long format by "melting" the metric columns into two columns - one for the name of the metric, and another for the actual numeric value.

We have loaded the normalized RFM data with the cluster labels already assigned. It is loaded as apandas DataFrame named datamart_normalized. Also, pandas is imported as pd.

Explore the datamart_normalized in the console before you begin the exercise to get a good sense of its structure!

Instructions

100 XP
  • Transform the dataset into long format by applying melt function on the normalized dataset with a reset index.
  • Assign CustomerID and Cluster as ID variables.
  • Assign RFM values as value variables.
  • Name the variable as Metric and the value as Value.