- Applied Supervised Learning with Python
- Benjamin Johnston Ishita Mathur
- 90字
- 2021-06-11 13:44:45
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.
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