In This Chapter
Seeing how the focus of EDA is different from traditional statistical analysis
Exploring important graphical EDA techniques
Understanding key quantitative EDA techniques
Exploratory data analysis (EDA) is an approach to data analysis that lets you determine a dataset’s properties so you can use the appropriate technique or techniques for analyzing the data. This helps ensure that you won’t impose assumptions on the data that aren’t warranted. Unlike more traditional approaches, which impose a specific model on a dataset based on predetermined assumptions, with EDA the structure of a dataset determines which techniques should be used to analyze the data.
EDA is designed to accomplish several important objectives: