The main objective of this section is to cover the fundamentals of Exploratory Data Analysis (EDA) and understand different stages of the EDA process. We will also look at the key concepts of profiling, quality assessment, the main aspects of EDA, and the challenges and opportunities in EDA. In addition to this, we will be discovering different useful visualization techniques. Finally, we will be discussing essential data transformation techniques, including database-style dataframe merges, transformation techniques, and benefits of data transformation.
This section contains the following chapters: