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Data Manipulation with R by Jaynal Abedin

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Chapter 3. Data Manipulation Using plyr

In any data analysis task, a majority of the time is dedicated to data cleaning and preprocessing. It is considered that sometimes about 80 percent of the effort is devoted to data cleaning before conducting actual analysis (Exploratory Data Mining and Data Cleaning, Dasu T. and Johnson T.). Data manipulation is an integral part of data cleaning and analysis. For large sets of data, it is always preferable to perform the operation within subgroups of a dataset to speed up the process. In R, this type of data manipulation can be done with base functionality, but for large-scale data it requires a considerable amount of coding and eventually takes more processing time. In the case of large-scale data, we can ...

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