Introduction to EDA in R

Offered By
Coursera Project Network
In this Guided Project, you will:

Perform EDA by plotting qualitative and quantitative variables

Clock2 hours
CloudNo download needed
VideoSplit-screen video
Comment DotsEnglish
LaptopDesktop only

Welcome to this project-based course Introduction to EDA in R. In this project, you will learn how to perform extensive exploratory data analysis on both quantitative and qualitative variables using basic R functions. By the end of this 2-hour long project, you will understand how to create different basic plots in R. Also, you will learn how to create plots for categorical variables and numeric or quantitative variables. By extension, you will learn how to plot three variables and save your plot as an image in R. Note, you do not need to be a data scientist to be successful in this guided project, just a familiarity with basic statistics and using R suffice for this project. If you are not familiar with R and want to learn the basics, start with my previous guided projects titled “Getting Started with R” and “Calculating Descriptive Statistics in R”

Skills you will develop

statistical visualizationR ProgrammingData AnalysisData Visualization (DataViz)Exploratory Data Analysis

Learn step-by-step

In a video that plays in a split-screen with your work area, your instructor will walk you through these steps:

  1. Getting Started

  2. Import & Explore data sets

  3. Plotting a categorical variable

  4. Plotting a numeric variable

  5. Plotting a Numerical and Categorical Variable

  6. Plotting two variables

  7. Plotting three variables - Wrap up

How Guided Projects work

Your workspace is a cloud desktop right in your browser, no download required

In a split-screen video, your instructor guides you step-by-step

Frequently asked questions

Frequently Asked Questions

More questions? Visit the Learner Help Center.