Exercise

FIFA 18: defenders revisited

In the FIFA 18 dataset, various attributes of players are present. Two such attributes are:

  • defending: a number which signifies the defending attributes of a player
  • physical: a number which signifies the physical attributes of a player

These are typically defense-minded players. In this exercise, you will perform clustering based on these attributes in the data.

The following modules have been pre-loaded: kmeans, vq from scipy.cluster.vq, matplotlib.pyplot as plt, seaborn as sns. The data for this exercise is stored in a pandas DataFrame, fifa. The scaled variables are scaled_def and scaled_phy.

Instructions 1/4

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  • Initialize the random seed to the list [1000,2000].