Packt Publishing – R Graph Essentials

Packt Publishing – R Graph Essentials

A visual and practical approach to learning how to create statistical graphs using R

A visual and practical approach to learning how to create statistical graphs using R

About This Video

Learn the basics of R graphs and how to make them

Customize your graphs according to your specific needs without using overcomplicated techniques/packages

Step-by-step instructions to create a wide range of professional-looking graphs

In Detail

R is a powerful tool for performing statistical analyses and drawing publication-quality graphics. This tool is ideal for organizing and graphing huge datasets. It also provides various techniques for plotting a variety of simple and more complex statistical graphs.

R Graph Essentials is a beginner’s course to learning about R graphics. This course will provide you with both a solid grounding in the so-called “base” graphics package in R as well as introducing elements from more sophisticated packages, such as lattice and ggplot2.

R Graph Essentials explains the basic functionality of R graphs in detail in order to familiarize you with how they work. The course starts with very basic R plot functions, first helping you to gain control of this function, then moving on towards various advanced plotting functions.

Different types of graphs are used to visualize different types of variables. The R Graph Essentials video course classifies these graphs and teaches them separately. This course is a compilation of tips and tricks related to the most efficient ways of drawing various types of graphs using basic R plotting functionality. Additionally, bivariate plots, time series, and high dimensional plots are also covered in this course. By the end of this course, you will be in a position to create your own ETL processes within a short amount of time.

The course offers a practical and interactive way to learn about R graphics, equipping you with the tools to draw informative statistical plots to effectively visualize your data.

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Course Curriculum

Introducing Plot Functions

• Introduction (2:02)
• Generating a Basic Plot with Titles (3:08)
• Putting Legends and Setting Margins (3:53)t
• Putting Texts and Mathematical Expressions to the Plot (2:29)
• Saving the Plots in Various Formats (2:22)
• Symbols and Colors in the Plot (3:15)

Further Control Over Plot Function

• Controlling Axes and Boxes (2:24)
• Controlling Layouts and Splits (2:36)
• Controlling the Color of Plot Elements (2:12)
• Controlling Line Patterns and Width (2:13)
• Controlling Texts of Plot Elements (2:36)

Plots for Categorical Variables

• Pie Chart for One Variable (2:38)
• Bar Chart or Pareto Chart for One Variable (2:15)
• Bar Chart for More Than One Variable (2:04)
• Labeling the Pie and Bar Charts (2:28)
• Dot Charts (2:07)

Plots for Continuous Variables

• Stem-and-leaf Plots (3:00)
• Histogram, Comparison, and Handling Bins (2:53)
• Density, Rug Representation, and Overlay Plots (2:22)
• Boxplots and Parameters (2:14)
• Side-by-side Boxplots and Parameters (3:07)

Bivariate Plots for Two Continuous Variables

• Scatter Plot and Parameters (2:31)
• Adding Straight Lines and Jitter Points (2:28)
• Adding Model Summaries in the Plot (3:45)
• Sub-grouping in a Scatter Plot (3:35)
• Conditioning Plots (1:32)

Time Series Plots

• Plotting Basic Line Graphs Using a Function (3:16)
• Default Time Series Plots (4:20)
• Plotting Date and Time Variables (2:01)
• Plotting Trend (2:11)
• Setting Appropriate Time Axes (1:59)

Visualizing Contour Plots and Three-dimensional Plots

• Drawing Contour Plots in Base Package (2:00)
• Drawing Contour Plots in Lattice (1:45)
• Drawing Surfaceplot Using Base Graphics (1:49)
• Drawing Surfaceplot Using Lattice (2:10)
• Drawing an Interactive 3D Plot (2:11)

Miscellaneous Topics

• Creating Maps (4:24)
• Interactive Options (4:47)
• R Commander (3:30)
• Trees and Clustering (2:42)
• RStudio Interface for Graphics (4:04)

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