Get startedGet started for free

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.

This exercise is part of the course

Cluster Analysis in Python

View Course

Hands-on interactive exercise

Have a go at this exercise by completing this sample code.

# Set up a random seed in numpy
random.____(____)
Edit and Run Code