Introduction to EDA in R
Offered By
In this Guided Project, you will:
Perform EDA by plotting qualitative and quantitative variables
2 hours
Intermediate
No download needed
Split-screen video
English
Desktop 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 visualization
R Programming
Data Analysis
Data 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:
Getting Started
Import & Explore data sets
Plotting a categorical variable
Plotting a numeric variable
Plotting a Numerical and Categorical Variable
Plotting two variables
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
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