Reshaping data is an important step in data management and organization. Statistical methods or data visualization techniques require data to be either wide or long. This course focuses on how to reshape data into wide and long formats using R.
Have you ever thought about the format of data you are dealing with? Is it long or wide? Which format is better for your analysis? In this course, Reshaping Data with R, you will gain the ability to reshape and aggregate data using the R programming language. First, you will learn how to transform wide-format data into long-format data. Next, you will discover how to reshape data from long format to wide format. Finally, you will explore how to aggregate data with and without group variables. When you are finished with this course, you will have the skills and knowledge of reshaping data needed to manage your data more effectively for statistical analysis and data visualization. Software required: R*
Okan Bulut is an Associate Professor of Educational Measurement, Psychometrics, and Data Science at the University of Alberta. He teaches undergraduate-level and graduate-level courses on psychometrics, statistics, data mining, and programming. Okan is a passionate user of the R programming language.
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