Grasp the visualization capabilities of R to build interactive graphs, plots, and pie charts
What you'll learn
Create simple and quick visualizations using the basic graphic tools in R
Implement interactive visualizations using ggplot2
Perform predictive modeling and create animated applications
Visualize data using different kind of Maps
Learn to create Plot function and merge multiple charts
Create presentations and learn the basics of creating apps in R
Introduce users to basic R functions and data manipulation techniques while creating meaningful visualizations
Make sense of data by adding elements, text, animation, and colors to your plot
Generate sunflower plots, hexbin plots, Chernoff faces, and so on
Master network, radial, and coxcomb plots
Requirements
Good knowledge of R programming is expected
Description
R is one of the most widely used language for data and graph analysis. It is platform-independent and allows users to load various packages as well as develop their own packages to interpret data better. This Learning Path is packed with practical recipes, designed to provide you with all the guidance needed to get to grips with data visualization with R. So, if you're a data science professional and want to learn about the powerful data visualization techniques of R, then go for this Learning Path.
Packt's Video Learning Paths are a series of individual video products put together in a logical and stepwise manner such that each video builds on the skills learned in the video before it.
The highlights of this Learning Path are
Create simple and quick visualizations using the basic graphic tools in R
Visualize data using different kind of Maps
Generate sunflower plots, hexbin plots, Chernoff faces, and so on
Explore network, radial, and coxcomb plots.
Let's take a quick look at your learning journey. You will start with the basics of R plots and an introduction to heat maps and customizing them. After this, you will learn to create interactive maps using the googleVis package. You will then generate choropleth maps and contouring maps, bubble plots, and pie charts. Next, you will dive into constructing 3D plots and be introduced to packages such as rgl and animation, which are used to create interactive 3D plots. Moving forward, you will focus on techniques to create word clouds, phase tree, and comparison clouds in R. You will also learn how to use the XKCD package to introduce humor in visualizations. Finally, you will be using the XML package to extract and visualize data as well as using shiny package used to create interactive applications.
On the completion of this Learning Path, you will be well versed with powerful data visualization techniques of R that you can incorporate in your applications.
Meet Your Expert
We have the best works of the following esteemed author to ensure that your learning journey is smooth
Atmajit Singh Gohil works as a senior consultant at a consultancy firm in New York City. After graduating, he worked in the financial industry as a Fixed Income Analyst. He writes about data manipulation, data exploration, visualization.
He has a master's degree in financial economics from the State University of New York (SUNY), Buffalo. He also graduated with a Master of Arts degree in economics from the University of Pune, India. He loves to read blogs on data visualization and loves to go out on hikes in his free time.
Overview
Section 1: R Data Visualization - Basic Plots, Maps, and Pie Charts
Lecture 1 The Course Overview
Lecture 2 Installing Packages and Getting Help in R
Lecture 3 Data Types and Special Values in R
Lecture 4 Matrices and Editing a Matrix in R
Lecture 5 Data Frames and Editing a Data Frame in R
Lecture 6 Importing and Exporting Data in R
Lecture 7 Writing a Function and if else Statement in R
Lecture 8 Basic and Nested Loops in R
Lecture 9 The apply, lapply, sapply, and tapply Functions
Lecture 10 Using and Saving par to Beautify a Plot in R
Lecture 11 Introducing a Scatter Plot with Texts, Labels, and Lines
Lecture 12 Connecting Points and Generating an Interactive Scatter Plot
Lecture 13 A Simple and Interactive Bar Plot
Lecture 14 Introduction to Line Plot and Its Effective Story
Lecture 15 Generating an Interactive Gantt/Timeline Chart in R
Lecture 16 Merging Histograms
Lecture 17 Making an Interactive Bubble Plot
Lecture 18 Constructing a Waterfall Plot in R
Lecture 19 Constructing Simple Dendrogram
Lecture 20 Creating Dendrograms with Colors and Labels
Lecture 21 Creating Heat Maps
Lecture 22 Generating a Heat Map with Customized Colors
Lecture 23 Generating an Integrated Dendrogram and a Heat Map
Lecture 24 Creating a Three-Dimensional Heat Map and Stereo Map
Lecture 25 Constructing A Tree Map in R
Lecture 26 Introducing Regional Maps
Lecture 27 Introducing Choropleth Maps
Lecture 28 A Guide to Contour Maps
Lecture 29 Constructing Maps with bubbles
Lecture 30 Integrating Text with Maps
Lecture 31 Introducing Shapefiles
Lecture 32 Creating Cartograms
Lecture 33 Generating a Simple Pie Chart
Lecture 34 Constructing Pie Charts with Labels
Lecture 35 Creating Donut Plots and Interactive Plots
Lecture 36 Generating a Slope Chart
Lecture 37 Constructing a Fan Plot
Section 2: R Data Visualization - Word Clouds and 3D Plots
Lecture 38 The Course Overview
Lecture 39 Constructing a 3D Scatter Plot
Lecture 40 Generating a 3D Scatter Plot with Text
Lecture 41 A Simple 3D Pie Chart
Lecture 42 A Simple 3D Histogram
Lecture 43 Generating a 3D Contour Plot
Lecture 44 Integrating a 3D Contour and a Surface Plot
Lecture 45 Animating a 3D Surface Plot
Lecture 46 Constructing a Sunflower Plot
Lecture 47 Creating a Hexbin Plot
Lecture 48 Generating Interactive Calendar Maps
Lecture 49 Creating Chernoff Faces in R
Lecture 50 Constructing a Coxcomb Plot in R
Lecture 51 Constructing Network Plots
Lecture 52 Constructing a Radial Plot
Lecture 53 Generating a Very Basic Pyramid Plot
Lecture 54 Generating a Candlestick Plot
Lecture 55 Generating Interactive Candlestick Plots
Lecture 56 Generating a Decomposed Time Series
Lecture 57 Plotting a Regression Line
Lecture 58 Constructing a Box and Whiskers Plot
Lecture 59 Generating a Violin Plot
Lecture 60 Generating a Quantile-Quantile Plot (QQ Plot)
Lecture 61 Generating a Density Plot
Lecture 62 Generating a Simple Correlation Plot
Lecture 63 Generating a Word Cloud
Lecture 64 Constructing a Word Cloud from a Document
Lecture 65 Generating a Comparison Cloud
Lecture 66 Constructing a Correlation Plot and a Phrase Tree
Lecture 67 Generating Plots with Custom Fonts
Lecture 68 Generating an XKCD-Style Plot
Lecture 69 Creating Animated Plots in R
Lecture 70 Creating a Presentation in R
Lecture 71 A basic Introduction to API and XML
Lecture 72 Constructing a Line Plot Using JSON in R
Lecture 73 Creating a Very Simple Shiny App in R
This Learning Path is targeted at data journalist, academician, student or freelance designer who wants to learn about data visualization
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