Exploratory Data Analysis (EDA) is a critical first step of data analysis. Here are some reasons why we should use EDA:
– Detecting mistakes and data cleaning.
– Shedding lights on preliminary selection of appropriate analysis methods.
– Exploring relationships among predictors and outcome variables.
This workshop will introduce several useful exploratory data analysis methods and visualization tools in R. Participants can apply these methods and tools using an insurance claim dataset we provide. No experience with coding or the R language is required.