R Data Visualization Recipes
R is an open source language for data analysis and graphics. Its popularity has soared in recent years because of its powerful capabilities when it comes to turning different kinds of data into intuitive visualization solutions. An updated, revamped version of our R Data Visualization Cookbook, this book contains practical, easy to follow recipes you need to master data visualization using R. It covers various graphics packages such as ggplot2, plotly, and ggvis. Using real-world datasets, you will analyze and visualize your data as histograms, bar graphs, scatterplots, and more, and customize your plots with various themes and coloring options. The book also covers advanced visualization aspects such as creating interactive dashboards using Shiny.
Offered by
Difficulty Level
Intermediate
Completion Time
12h12m
Language
English
About Book
Who Is This Book For?
If you are looking to create custom data visualization solutions using the R programming language and are stuck somewhere in the process, this book will come to your rescue. Prior exposure to packages such as ggplot2 would be useful but not necessary. However, some R programming knowledge is required.
R Data Visualization Recipes
- About Book
- Who Is This Book For?
- Book Content
Book content
chapters • 12h12m total length
Installing and Configuration
Plotting two continuous variables
Plotting a discrete predictor & a continuous response
Plotting One Variable
Making other bivariate plots
Creating maps
Faceting
Designing Three-Dimensional Plots
Using theming packages
Designing more specialized plots
Making Interactive Plots
Building Shiny Dashboards
Related Resources
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