Exploratory Data Analysis with R


Exploratory Data Analysis with R

Author: Martin Burger

The Exploratory Data Analysis skill teaches you how to probe and learn about a data set using R.

What You Will Learn

  • This skill conveys the most commonly used techniques for EDA using the R programming language and packages.


  • Data Literacy
  • Mathematics
  • R for Data Analysts
  • Visualizing Data with R
  • Importing Data with R


Learn how Exploratory Data Analysis helps an analyst understand complex data sets and use multiple types of visual exploratory techniques to answer research questions.

Exploring Your First Data Set with R

by Martin Burger

Nov 26, 2019 / 2h 5m

2h 5m

Start Course

Do you want to learn how data exploration can be implemented in R? Without data exploration, the whole data analysis process gets inefficient and slow, but follow a good data exploration process and you'll be guided to valuable insights. In this course, Exploring Your First Data Set with R, you will learn how new datasets are explored and analyzed in a quick and efficient way. First, you will learn the methods outlined, following a logical succession, which are applicable in most standard data frames. Then, you will discover how the process is divided into 3 steps: summary statistics, distribution checks, and relation analysis. These steps build on each other and you will find out which variables are worth further analysis and where variable dependencies exist. Finally, you will gain the knowledge of the ground work for machine learning and final data presentation.

When you’re finished with this course, you’ll have the skills to properly structure and conduct data exploration in R.

Table of contents
  1. Course Overview
  2. Background on Exploratory Data Analysis
  3. First Level Data Exploration
  4. Statistical Tests to Confirm Initial Findings
  5. Looking Ahead and Summary

Exploring Data Visually with R

by Martin Burger

Oct 7, 2019 / 2h 1m

2h 1m

Start Course

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.

Table of contents
  1. Course Overview
  2. Background on Data Visualization in R
  3. Data Visualizations Based on Distributions
  4. Data Visualizations Based on Clusters and Grouping Variables
  5. Looking Ahead and Further Resources
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