Business Analytics iCademy: Exploratory Data Visualization in R

In this skill, you will be introduced to a powerful visualization package in ggplot2 to create useful visualizations for exploratory data analysis (EDA). We will start with a discussion on the role of EDA in the overall data analysis. Then, we will discuss basic types of charts/ plots for univariate, bivariate, and multivariate exploration. We will also illustrate how to create these visualizations in R using ggplot2 package. We will create various charts such as Histogram, Boxplot, Bar-chart, Scatter Plot, Grouped Boxplots, Grouped Histogram, etc. In the end, we will introduce you to a useful GUI tool that can help you learn ggplot2, if you find ggplot2 codes overwhelming. The tool will allow you to first create charts and then inspect and save the code. Learning Outcomes - Understand why and how to perform Exploratory Data Analysis (EDA) - Appreciate the type of variables and their explorations - Perform basic functions of ggplot2 package for creating nice visualizations in R - Understand how to explore relationship between two or more variables