R is very versatile when it comes to data exploration. Any type of chart can be implemented in R. In this course, Exploring Data Visually with R, you will learn the standard visualization techniques that are used for data exploration. First, you will investigate how to use data visualizations. Then, you will explore common datasets with the 4 plot types including scatterplots, barcharts, histograms, and boxplots. Finally, you will be able to use and compare the 3 charting systems, which are R base, lattice, and ggplot2. When you are finished with this course, you will have the skills and knowledge to identify the most suitable chart type and to implement it in 3 different R charting tools.
Author Name: Martin Burger
Author Description:
Martin studied biostatistics and worked for several pharmaceutical companies before he became a data science consultant and author. He published over 15 courses on R, Tableau 9 and other data science related subjects. His main focus lies on analytics software like R and SPSS but he is also interested in modern data visualization tools like Tableau. If he is not busy coding, blogging or working out new teaching concepts you may find him skiing or hiking in the Alps.

Table of Contents

• Course Overview
  1min
• Background on Data Visualization in R
  35mins
• Data Visualizations Based on Distributions
  31mins
• Data Visualizations Based on Clusters and Grouping Variables
  39mins
• Looking Ahead and Further Resources
  12mins