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.
Martin is a trained biostatistician, programmer, consultant and data science enthusiast. His main objective: Explaining data science in a straightforward way. You can find his latest work over at: r-tutorials.com
Course Overview Welcome to exploring data visually with R. This is Martin Burger from Pluralsight. In this beginner-level course, we're using the three main plotting tools off R for data exploration. Data exploration is one of the first things you do when analyzing data. It leads the way to further in depth analysis. Visualizations are a major part of this data exploration step. Since R has three major plotting tools are base, Lattice and ggplot2, we work with these. All the plots used are generated with these three tools. Therefore, this course also allows a comparison between them. The charts I'm going to show you are divided into two groups charts for distributions and charts for categorical data and clusters. The distribution charts presented here are histograms density plots, Q Q plots and box plots for the categorical data and clusters we use scatter plots with and without clusters as well as bar charts. At last, I will also talk about useful resources is when it comes to data visualization in R and you will hear some background info on R Shiny and why it is so powerful. To fully benefit from this course, you should have some familiarity with R Studio and data frames. I really hope you use this course to see how powerful are is when it comes to data visualizations and data exploration.