How to Perform a Cluster Analysis in R
March 22, 2024
Article
(10 reviews)
Recommended experience
Intermediate level
Loading data into R
(10 reviews)
Recommended experience
Intermediate level
Loading data into R
Tidy messy data using different tidyr functions
Create plots of tidy data using ggplot()
Add to your LinkedIn profile
Only available on desktop
As data enthusiasts and professionals, our work often requires dealing with data in different forms. In particular, messy data can be a big challenge because the quality of your analysis largely depends on the quality of the data. This project-based course, "Tidy Messy Data using tidyr in R," is intended for beginner and intermediate R users with related experiences who are willing to advance their knowledge and skills.
In this course, you will learn practical ways for data cleaning, reshaping, and transformation using R. You will learn how to use different tidyr functions like pivot_longer(), pivot_wider(), separate_rows(), separate(), and others to achieve the tidy data principles. By the end of this 2-hour-long project, you will get hands-on massaging data to put in the proper format. By extension, you will learn to create plots using ggplot(). This project-based course is a beginner to an intermediate-level course in R. Therefore, to get the most out of this project, it is essential to have a basic understanding of using R. Specifically, you should be able to load data into R and understand how the pipe function works. It will be helpful to complete my previous project titled "Data Manipulation with dplyr in R."
In a video that plays in a split-screen with your work area, your instructor will walk you through these steps:
Getting Started
Pivot longer
Pivot wider
(Optional) Practice Activity
Plot the long data
Unstack data
(Optional) Practice Assessment
Separate rows
Separate and unite columns
(Optional) Practice Activity
Separate rows & Separate columns
Wrap up
(Optional) Portfolio Activity
Loading data into R
The Coursera Project Network is a select group of instructors who have demonstrated expertise in specific tools or skills through their industry experience or academic backgrounds in the topics of their projects. If you're interested in becoming a project instructor and creating Guided Projects to help millions of learners around the world, please apply today at teach.coursera.org.
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Access the tools and resources you need in a pre-configured cloud workspace.
Available only on desktop
This Guided Project is designed for laptops or desktop computers with a reliable Internet connection, not mobile devices.
10 reviews
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Showing 3 of 10
Reviewed on Aug 20, 2023
Another fantastic class by a fantastic instructor.
Johns Hopkins University
Course
University of Colorado Boulder
Course
Duke University
Course
Johns Hopkins University
Specialization
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By purchasing a Guided Project, you'll get everything you need to complete the Guided Project including access to a cloud desktop workspace through your web browser that contains the files and software you need to get started, plus step-by-step video instruction from a subject matter expert.
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