Skill Introduction

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

Upon successful completion, you will be able to:

  • 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

Course curriculum

  • 1


    • Introduction Video

    • Introduction to the Skill

    • Glossary

  • 2

    Content and Activities

    • What to Explore in the Data?

    • Univariate and Bivariate Exploration

    • Knowledge Check 1

    • Introduction to the Ggplot2 Package

    • Introduction to Ggplot Syntax

    • Univariate Exploration of a Numeric Variable

    • Univariate Exploration of a Categorical Variable

    • Knowledge Check 2

    • Visualizing Relationship between Two Numeric Variables

    • Visualizing Relationship between a Numeric and a Categorical Variable

    • Visualizing Relationship between Two Categorical Variables

    • Knowledge Check 3

    • Multidimensional Charts

    • Introduction to Ggplot Builder

    • Knowledge Check 4

  • 3

    Application Exercise

    • Instructions

    • Exercise Files

    • Debriefing

  • 4


    • Conclusion Video

    • Final Quiz

    • Survey Instructions

    • Feedback Survey

    • Survey Verification

    • Next Steps

Begin your learning today.