This chapter shows how we can apply exploratory data analysis (EDA) on raw data to gain insights from the data. A sample dataset is explored with some of the most commonly used methods. Techniques to check for missing values, frequency of occurrence, and the correlation between variables are shown in this analysis.
The chapter is organized like a recipe – goal of the recipe, ingredients, instructions, and variation and serving. The accompanying code is available at the GitHub repository specified in Chapter 20.
