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Applied Data Visualization with R and ggplot2

Applied Data Visualization with R and ggplot2

By : Dr. Tania Moulik
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Applied Data Visualization with R and ggplot2

Applied Data Visualization with R and ggplot2

By: Dr. Tania Moulik

Overview of this book

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 book, you’ll have created data visualizations that will impress your clients.
Table of Contents (6 chapters)
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Summary

In this chapter, we covered the basics of ggplot2, distinguishing between different types of variables and introducing the best practices for visualizing them. You created basic one- and two-dimensional plots, then analyzed the differences  between them. You used the Grammar of Graphics to change a basic visual into a better, more professional-looking visual.

In the next chapter, we will build upon these skills, uncovering correlations between variables and using statistical summaries to create more advanced plots.

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Applied Data Visualization with R and ggplot2
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