Chapter 6 Exploring data
Exploratory data analysis (EDA) is a fancy name for an ordinary, but important phase of any data analysis.
From a technical viewpoint, EDA is where our skills in transforming, reshaping, and visualizing data (e.g., using base R functions and additional tools from the dplyr, tidyr, and ggplot2 packages) meet so that we become familiar with a dataset.
Recommended readings for this chapter include:
Before reading, please take some time to reflect upon the following questions:
What are the first steps of any data analysis?
Which questions should we always ask before conducting any statistical test?
What is the difference between generating and testing hypotheses?