Mastering ggplot2: Master the power of ggplot2 like a pro

Harish Garg

BignumWorks Software LLP

$137.99

Video Mar 2019 1hr 7mins 1st Edition

Harish Garg

BignumWorks Software LLP

$137.99

Video Mar 2019 1hr 7mins 1st Edition

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Key benefits

This exploration of the advanced features of ggplot2 makes complex data visualization concepts seem very easy
A practical and hands-on approach to teaching data visualization concepts, with each section full of practical ggplot2 solutions and code examples
This course uses real-world datasets in the code examples

Description

You already know the basics of Data Visualizations with R but this isn't enough. You want to be able to create advanced-level Data Visualizations that showcase insights from your datasets. This course will provide you with a detailed exploration of the latest version of ggplot2, in a step-by-step and engaging manner. Through this course, you will master the advanced concepts of ggplot2 and will be able to tackle any Data Visualization project with ease and with increasing complexity. By the end of the course, you will have honed your expertise and mastered data visualizations using the full potential of ggplot2. All the code and supporting files for this course are available at https://github.com/PacktPublishing/Mastering-ggplot2

Who is this book for?

This course is for developers, data scientists, and professionals who know R and basic ggplot2 and want to enhance their skill with this branch of data analysis on an advanced level.

What you will learn

Learn to create data visualizations layer by layer with ggplot2
Learn how to customize the look and feel of plots in R with ggplot2
Learn how to plot correlations, scatterplots, jitter plots, count charts, bubble plots, and histograms
Learn to plot diverging bars, lollipop charts, dot plots, and area charts, and visualize deviations
Visualize data distributions using various ggplot2 plots
Visualize data composition using waffle charts, pie charts, treemaps, and bar charts
Learn to plot changes in data using time series, stacked area, heat map, and more

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