Plots (Graphics) in R

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Coursera Project Network
In this Guided Project, you will:

Learn data visualization techniques in R

Create and visualize correlation plots, deviation & ranking plots, distribution & composition plots, and time series & clustering plots

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

In this two-hour long project-based course, you will learn Data Visualization plots in Data Science. By the end of this project, you will have created and visualized correlation plots, deviation plots, ranking plots, distribution plots, composition plots, time series plots, and clustering plots. This class is for learners who want to use R for Data Visualization and Plots, and for learners who are currently taking a basic machine learning course or have already finished a machine learning course and are searching for a practical data visualization project course. Also, this project provides learners with basic knowledge about data visualization techniques and improves their skills in creating various types of charts and plots which helps them in fulfilling their career goals by adding this project to their portfolios.

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. Understand the importance of Data Visualization techniques

  2. Create Correlation Plots

  3. Create Deviation and Ranking plots

  4. Create Distribution and Composition plots

  5. Create Time Series and Clustering plots

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.