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Applied Data Visualization with R and ggplot2
Applied Data Visualization with R and ggplot2

Applied Data Visualization with R and ggplot2: Create useful, elaborate, and visually-appealing plots using this open source package

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Profile Icon Chris DallaVilla
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Course Jan 2019 137 pages 1st Edition
Arrow left icon
Profile Icon Chris DallaVilla
Arrow right icon
Course Jan 2019 137 pages 1st Edition

Key benefits

  • Discover structure of ggplot2, grammar of graphics, and geometric objects
  • Study how to design and implement visualization from scratch
  • Explore the advantages of using advanced plots

Description

Applied Data Visualization with R and ggplot2 introduces you to the world of data visualization by taking you through the basic features of ggplot2. To start with, you'll learn how to set up the R environment, followed by getting insights into the grammar of graphics and geometric objects before you explore the plotting techniques. You'll discover what layers, scales, coordinates, and themes are, and study how you can use them to transform your data into aesthetical graphs. Once you've grasped the basics, you'll move on to studying simple plots such as histograms and advanced plots such as superimposing and density plots. You'll also get to grips with plotting trends, correlations, and statistical summaries. By the end of this course, you'll have created data visualizations that will impress your clients. The github link for this title is here https://github.com/TrainingByPackt/Applied-Data-Visualization-with-R-and-ggplot2-eLearning

Who is this book for?

Applied Data Visualization with R and ggplot2 is for you if you are a professional working with data and R. This course is also for students who want to enhance their data analysis skills by adding informative and professional visualizations. It is assumed that you know the basics of the R language and its commands and objects.

What you will learn

  • Set up the R environment, RStudio, and understand the structure of ggplot2
  • Distinguish variables and use best practices to visualize them
  • Change visualization defaults to reveal more information about data
  • Implement the grammar of graphics in ggplot2 such as scales and faceting
  • Build complex and aesthetic visualizations with ggplot2 analysis methods
  • Logically and systematically explore complex relationships
  • Compare variables in a single visual, with advanced plotting methods

Product Details

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Publication date, Length, Edition, Language, ISBN-13
Publication date : Jan 22, 2019
Length: 137 pages
Edition : 1st
Language : English
ISBN-13 : 9781789808476
Category :
Languages :
Tools :

Product Details

Publication date : Jan 22, 2019
Length: 137 pages
Edition : 1st
Language : English
ISBN-13 : 9781789808476
Category :
Languages :
Tools :

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Table of Contents

3 Chapters
Basic Plotting in ggplot2 Chevron down icon Chevron up icon
Grammar of Graphics and Visual Components Chevron down icon Chevron up icon
Advanced Geoms and Statistics Chevron down icon Chevron up icon
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