Applied Supervised Learning with Python
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Chapter 2
Exploratory Data Analysis and Visualization

Learning Objectives

By the end of the chapter, you will be able to:

  • Explain the importance of data exploration and communicate the summary statistics of a dataset
  • Visualize patterns in missing values in data and be able to replace null values appropriately
  • Identify continuous features and categorical features
  • Visualize distributions of values across individual variables
  • Describe and analyze relationships between different types of variables using correlation and visualizations

This chapter takes us through how to perform exploration and analysis on a new dataset.