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  • Book Overview & Buying Applied Data Visualization with R and ggplot2 [Instructor Edition]
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Applied Data Visualization with R and ggplot2 [Instructor Edition]

Applied Data Visualization with R and ggplot2 [Instructor Edition]

By : Dr. Tania Moulik
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Applied Data Visualization with R and ggplot2 [Instructor Edition]

Applied Data Visualization with R and ggplot2 [Instructor Edition]

By: Dr. Tania Moulik

Overview of this book

This course introduces you to the world of data visualization by talking about the basic features of ggplot2. Learn all about setting up the R environment and then begin exploring the features of ggplot2. Grammar of graphics and geometric objects are the fundamentals you must know before you dive deep into the plotting techniques. Read and discover what are layers, scales, coordinates, and themes, and explore how you can use them to transform your data into aesthetical graphs. Learn the simple plots, such as histograms, and then some advanced plots, such as superimposing plots and density plots. Learn to plot trends, correlations, and statistical summaries. After reading this course, your data visualizations will wow clients.
Table of Contents (6 chapters)
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Advanced Plotting Techniques

Two of the most common advanced plotting techniques are scatter plots and bubble charts. Scatter plots show the relationship between two variables. A bubble chart can include a third variable. Each point (with its values (v1, v2, v3) of associated data) is plotted as a disk, where two of the values show the x and y locations, and the third depicts the size. Just like in a scatter plot, a bubble chart uses numerical variables for its x and y axes. You cannot use categorical variables in a bubble chart.

In this plot, we will plot the electricity consumption per capita for different years and different countries. The size of the point will vary, according to the population of the country.

Creating a Bubble Chart

...
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Applied Data Visualization with R and ggplot2 [Instructor Edition]
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