The Easiest Way to Learn ggplot2 (2)

March 16, 2016
By

(This article was first published on DataCamp Blog, and kindly contributed to R-bloggers)

In our second course on ggplot2 “Data Visualization with ggplot2 (2)”, you will take the step from exploratory to explanatory data visualization. In five chapters, you’ll get to know more ggplot layers and tools needed to create excellent visuals that can be used in many different cases.

Begin learning Data Visualization with ggplot2 interactively, today.

What you’ll learn

This 5 hour course builds on the knowledge of our first course on ggplot2 and covers the topics below:

  • Chapter 1: Learn how to use ggplot2 as a tool for graphical data analysis by applying a variety of statistical methods.

  • Chapter 2: Get to know the Coordinates and Facets layers to make your plots easier to read and understand.

  • Chapter 3: Learn all about adding and adapting themes to make publication quality plots directly in R.

  • Chapter 4: Discover the best and worst types of visualizations for particular scenarios to make your message as clear as possible.

  • Chapter 5: Combine everything you’ve learned in a step-by-step case study. Using real data, you develop mosaic plots by combining statistics and flexible visuals.

Enjoy! Start Course.

To leave a comment for the author, please follow the link and comment on their blog: DataCamp Blog.

R-bloggers.com offers daily e-mail updates about R news and tutorials on topics such as: Data science, Big Data, R jobs, visualization (ggplot2, Boxplots, maps, animation), programming (RStudio, Sweave, LaTeX, SQL, Eclipse, git, hadoop, Web Scraping) statistics (regression, PCA, time series, trading) and more...



If you got this far, why not subscribe for updates from the site? Choose your flavor: e-mail, twitter, RSS, or facebook...

Comments are closed.

Sponsors

Mango solutions



RStudio homepage



Zero Inflated Models and Generalized Linear Mixed Models with R

Quantide: statistical consulting and training

datasociety

http://www.eoda.de





ODSC

ODSC

CRC R books series





Six Sigma Online Training









Contact us if you wish to help support R-bloggers, and place your banner here.

Never miss an update!
Subscribe to R-bloggers to receive
e-mails with the latest R posts.
(You will not see this message again.)

Click here to close (This popup will not appear again)