Graphs in R - Data Visualization with R Programming Language

Convincing R graphs using ggplot 2, lattice, plotrix & base. Use the powerful R language to create vivid visualizations

Created byR-Tutorials Training

Last updated 9/2016

English

English [Auto],

What you'll learn

you will learn all about the graphical parameters in R
you will see how the plotrix library can enlarge your data toolbox
you will learn how you can create histograms, barplots, scatterplots, lineplots, stepplots and many more by using the R base functionalities
you will learn about the whole different system of ggplot2 plots
you will learn about the lattice package, which is widely used in academic settings

Course content

5 sections • 46 lectures • 3h 34m total length

Introduction to par7:29
Introduction to the par family

Changing parameters with par
Parameters adjust to family5:43
Par functions from A - F
Parameters foreground to las orientation4:38
Par functions from F to L
Parameters lend to margin4:40
Par from L to M
Point types4:03
Point Types
Parameters point size to log scales6:00
Introduction to par from P to X
Plot Types and adding text6:32
Types of plot function

Different ways of adding text to a plot
Adding lines and symbols4:27
Adding line with abline - lower level plotting

Adding symbols to plot
Legends and axes5:12
Adding legends

Formatting axes
Section summary7:50
Summary
Exercises par3:47
Solutions par6:38
Further R Exercises2:39
Explore an exercise database for R programming with blocks of ten questions on topics like functions, data frames, and graphs; learn how to access, use, and contribute.
Parameters Script16:00

Boxplots7:32
Boxplots

Adding means to boxplots
Histograms10:44
Histograms

Binsizes

Combined histograms
Bar charts5:37
Single and grouped bar plots
Pie charts and summary5:34
Pie charts

Summary
Exercises and solutions Base plots4:37
Explore two base plots exercises using the quakes data: two histograms of magnitude and depth on one sheet, and a horizontal, notched box plot of price by clarity.
Base plots Scipt8:00

Introduction to plotrix and nested bar charts4:16
Learn how to create nested bar plots in R using the plotrix package, by specifying a grouping formula and visualizing data grouped by sex and nationality.
3Dpie charts and fan plots4:15
Explore three dimensional pie charts in r, customize explode effects, borders, and shading, and compare with fan plots to clarify data using labels and values.
Gantt charts5:33
Gap plot and adding tables to a plot5:52
Create gap plots in R with the plot tricks library, adjusting y-axis gaps and color groups. Add a table to the plot to decode the color coding.
Zoom in plot and lower level plotting6:49
Apply line clip to add horizontal, vertical, and slope lines and regression fits in plots in R. Create circular text, circles, and zoom.
Summary2:30
Summary
Exercises plotrix2:42
Solutions Plotrix4:05
Demonstrate practical plotting with the Plotrix package in R by solving exercises on pie 3D charts, gap plots, and Stirling's trapping scatterplot, including tables and labeled axes.
Plotrix Script13:00

Intro to ggplot24:05
Plotting with qplot5:24
Explore plotting options in R with qplot using the iris data, including line, scatter, and path plots, colored by species, smoothed with lm, and with confidence intervals removed.
Histograms, facets and aesthetics with qplot7:04
Create histograms with qplot, adjust binwidth and breaks, and generate density plots with facets, using iris data to explore color, size, shape, and alpha aesthetics.
ggplot intro2:47
Master ggplot basics with Chichi plot layers, specifying data and mappings, and adding layers with the plus sign; explore histogram, density, and bar, noting layer order and position mapping.
Scatterplots with ggplot8:09
Explore scatter plots with Jiechi plot in ggplot, using a data frame with x, y, and group, and layer aesthetics like color, shape, and size while customizing legends and scales.
Formatting text with ggplot8:48
Format text in ggplot by adding titles with ggtitle or labs, customize axis labels via theme, and annotate text with x and y coordinates, size, and color gradients.
Histograms with ggplot6:14
Learn to create and customize histograms in ggplot for R, using geom_histogram and density layers, adjusting bin width and bandwidth, and comparing iris groups.
Boxplots with ggplot5:42
Create and customize box plots with ggplot in R, using the iris dataset grouped by species; adjust outliers, flip orientation, add mean points, and distinguish setting from mapping for legends.
Summary2:25
Exercises ggplot22:49
Practice ggplot2 by building a scatterplot of miles per gallon versus horsepower from the base package dataset, with cylinder count, then add a title, annotation, smoother, and a faceted histogram.
Solutions ggplot23:24
Learn ggplot2 techniques for visualizing car data with mpg, horsepower, and cylinder, including custom two-line titles, a scatter plot with arrows and a smoothing line, and faceted histograms.
Ggplot2 Script18:00

Requirements

Basic statistics knowledge
Basic understanding of graph creation
Good understanding of R (up to R Level 1 course content)
Interest in data science
R and RStudio ready on your computer

Description

R-Tutorials shows how to create convincing graphs in R

Do you want to create insightful graphs?

Do you want to show your data crystal clear?

Do you want your data to be understood by everyone?

Do you want a versatile graphics toolbox?

Do you want powerful formatting skills?

If you anwered YES to some of these questions - this course is for you!

Data is useless if you do not have the right tools to build informative graphs. Plots need to be understood easily while being accurate at the same time. R-Tutorials gladly enlarges your data toolbox so that you can surmount in your career.

R offers a variety of plotting devices, some of them (like ggplot2) are whole systems which need to be learned like a new language. R-Tutorials shows how to learn those languages.

In this course you will learn about the most important plotting packages ggplot2, lattice and plotrix. According to the teaching principles of R Tutorials every section is enforced by exercises for a better learning experience. You can download the code pdf of every section to try the presented code on your own.

The course starts with the base parameters which are needed to format and manipulate any basic graphs in R.

After that you will learn about the most common types of graphs in R base and you will see some very useful graphical extensions of the plotrix package.

Ggplot2 is a very famous graphs package and is viewed as the most powerful graphics device R has to offer. You will get an in depth tutorial on that package.

At last you can see how Lattice offers some more very useful functions.

With that knowledge you will have an extremely powerful toolbox to excel in your career and in your studies.

What R you waiting for?

Martin

Who this course is for:

Statisticians and data scientists
Students working with data
Entrepreneurs working with R
Web Developers

Graphs in R - Data Visualization with R Programming Language

What you'll learn

Explore related topics

Course content

Graphical parameters in R base14 lectures • 1hr 26min

Base plotting commands6 lectures • 42min

Library plotrix9 lectures • 49min

Library ggplot212 lectures • 1hr 15min

Library lattice5 lectures • 25min

Requirements

Description

Who this course is for: