July 2020
Beginner to intermediate
626 pages
10h 2m
English
Overview
In this chapter, you will search for, and handle, missing values. You will also carry out feature engineering, exploratory data analysis, design visualizations, and thereafter summarize insights provided by your data. By the end of this chapter, you will have a firm grasp of various data analysis techniques pertaining to a specific dataset—the Beijing Multi-Site Air Quality dataset.
In the previous chapter, we performed data analysis techniques on a dataset that described the relationship between temperature, humidity, and the energy consumed by household appliances; that is, how much the appliances were used depending on the weather.
In the last chapter of this book, we will continue through ...