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Artificial Intelligence & Data Science
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Applied Data Visualization with R and ggplot2

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via

O’Reilly
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Course Features

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Duration

2.17 hours

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Delivery Method

Online

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Available on

Limited Access

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Accessibility

Desktop, Laptop

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Language

English

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Subtitles

English

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Level

Intermediate

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Teaching Type

Self Paced

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Video Content

2.17 hours

Course Description

This open-source package allows you to create visually appealing, complex plots.

About This Video

  • Find the structure of ggplot2, grammar for graphics, and geometric objects
  • Learn how to create and implement visualizations from scratch
  • Discover the benefits of advanced plots

Applied Data Visualization using R and ggplot2 will introduce you to the worlds of data visualization. It will also explain the basics of ggplot2. You'll first learn how to set up R, then you'll get insights into the grammar and use that information to explore the plotting options.

Learn about layers, scales and coordinates and how to use them to transform data into aesthetical graphs. Once you have mastered the basics, you can move on to more advanced plots like superimposing and density. You will also learn how to plot trends, correlations, as well as statistical summaries.

You will be able to create data visualizations that will impress clients by the end of this course.

Audience

If you are a professional working in data visualization with R and/or ggplot2, this course is for you. It is assumed you are familiar with the commands and objects of R.

Course Overview

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International Faculty

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Instructor-Moderated Discussions

Skills You Will Gain

What You Will Learn

Discover structure of ggplot2, grammar of graphics, and geometric objects

Explore the advantages of using advanced plots

Study how to design and implement visualization from scratch

Target Students

Applied Data Visualization with R and ggplot2 is for you if you are a professional working with data and R

It is assumed that you know the basics of the R language and its commands and objects

This course is also for students who want to enhance their data analysis skills by adding informative and professional visualizations

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