Data munging is “the process of turning a data set with lot of junk in it into a nice clean data set.” So explain Syracuse University’s Jeffrey S. Saltz and Jeffrey M. Stanton in their book An Introduction to Data Science, recently published by SAGE. Visit the latest Methods Minute newsletter, which focuses on big data research, for the opportunity to reading the chapter on data munging from their new book. The chapter offers a detailed analysis of munging for users of R, and includes a chapter-ending challenge for readers plus a list of the specific R commands cited in the chapter.
To open the newsletter, click on the image below.
To receive the Methods Minute by email, register HERE.