Introduction

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 the same journey of exploratory data analysis, but on a dataset describing the air quality in multiple localities of Beijing, China. We will be using several data analysis techniques (many of which you may have encountered in previous chapters) to clean the dataset and observe trends such as which time of year and which year had the highest concentration of pollutants.