Graphs in R – Data Visualization with R Programming Language

Graphs in R – Data Visualization with R Programming Language, available at $49.99, has an average rating of 4.45, with 48 lectures, based on 248 reviews, and has 3230 subscribers.

You will learn about 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 This course is ideal for individuals who are Statisticians and data scientists or Students working with data or Entrepreneurs working with R or Web Developers It is particularly useful for Statisticians and data scientists or Students working with data or Entrepreneurs working with R or Web Developers.

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Summary

Title: Graphs in R – Data Visualization with R Programming Language

Price: $49.99

Average Rating: 4.45

Number of Lectures: 48

Number of Published Lectures: 46

Number of Curriculum Items: 48

Number of Published Curriculum Objects: 46

Original Price: $84.99

Quality Status: approved

Status: Live

What You Will 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

Who Should Attend

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

Target Audiences

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

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 exercisesfor 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

Course Curriculum

Chapter 1: Graphical parameters in R base

Lecture 1: Introduction to par

Lecture 2: Parameters adjust to family

Lecture 3: Parameters foreground to las orientation

Lecture 4: Parameters lend to margin

Lecture 5: Point types

Lecture 6: Parameters point size to log scales

Lecture 7: Plot Types and adding text

Lecture 8: Adding lines and symbols

Lecture 9: Legends and axes

Lecture 10: Section summary

Lecture 11: Exercises par

Lecture 12: Solutions par

Lecture 13: Further R Exercises

Lecture 14: Parameters Script

Chapter 2: Base plotting commands

Lecture 1: Boxplots

Lecture 2: Histograms

Lecture 3: Bar charts

Lecture 4: Pie charts and summary

Lecture 5: Exercises and solutions Base plots

Lecture 6: Base plots Scipt

Chapter 3: Library plotrix

Lecture 1: Introduction to plotrix and nested bar charts

Lecture 2: 3Dpie charts and fan plots

Lecture 3: Gantt charts

Lecture 4: Gap plot and adding tables to a plot

Lecture 5: Zoom in plot and lower level plotting

Lecture 6: Summary

Lecture 7: Exercises plotrix

Lecture 8: Solutions Plotrix

Lecture 9: Plotrix Script

Chapter 4: Library ggplot2

Lecture 1: Intro to ggplot2

Lecture 2: Plotting with qplot

Lecture 3: Histograms, facets and aesthetics with qplot

Lecture 4: ggplot intro

Lecture 5: Scatterplots with ggplot

Lecture 6: Formatting text with ggplot

Lecture 7: Histograms with ggplot

Lecture 8: Boxplots with ggplot

Lecture 9: Summary

Lecture 10: Exercises ggplot2

Lecture 11: Solutions ggplot2

Lecture 12: Ggplot2 Script

Chapter 5: Library lattice

Lecture 1: Introduction to Lattice and Bar charts

Lecture 2: Shingles

Lecture 3: Box plot and Violin plots

Lecture 4: Exercises and Solutions in Lattice

Lecture 5: Script Lattice

Instructors

R-Tutorials Training
Data Science Education

Rating Distribution

1 stars: 6 votes
2 stars: 11 votes
3 stars: 39 votes
4 stars: 102 votes
5 stars: 90 votes

Frequently Asked Questions

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