July 2020
Beginner to intermediate
626 pages
10h 2m
English
Overview
In this chapter, you will search for and deal with missing values, outliers, and anomalies within a given dataset. You will learn how to create new columns from existing columns, conduct exploratory data analysis, and design visualizations. You will also practice summarizing the insights provided by your data. This chapter aims to guide you through various data analysis techniques pertaining to a specific dataset—the Online Retail II dataset—and therefore, a specific domain.
In the previous chapter, we studied and analyzed a heart disease dataset and studied the relationships between different features of the dataset to gain a better understanding of the available data and derive ...