References (I)

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The course covers topics that was originally presented in the books by

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• John W. Tukey Exploratory Data Analysis

• William S. Cleveland  Visualizing Data 

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We discuss different visualization and exploratory tools for data analysis available in R  and illustrate how the methods/techniques/tools proposed by Tukey and Cleveland can be easily implemented in R.

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For the course, basic knowledge of R and statistic is required. Methods are illustrated using different R packages for graphics, mainly using the packages ggplot2 and lattice

General information about the course

 

Course materials include

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• Slides.

• R program for the examples presented in the course.

• Datasets that are used for illustration are R datasets and external datasets for which links to download the data are provided.

• Online interactive book.

• Links for YouTube tutorials are available in both slides and the online book. Note that these tutorials were not developed especially for this course but they cover the same topics, usually with different examples.

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As a student in the course, you can choose between two study methods:

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• If you prefer the traditional slides approach, you can click on the button Topics. This will take you to a page with 4 chapters that cover all topics in the course. Each chapter has its own slides presentation and an R program contains all the examples used in the course and presented in the slides is available as well.

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• If you prefer a more interactive study style, clink on the button Online book that will take you to the page with an online interactive book that was written for the course. Note that the slides presentations and the book cover the same materials and the interactive book include the slides as well.