PluralSight – Managing Data in R Using Data Frames

PluralSight – Managing Data in R Using Data Frames-BOOKWARE-KNiSO
English | Size: 345.64 MB
Category: Tutorial

Release Notes: Learn to work with very popular and versatile tabular data types in R. When using R, there is no way around the data frame and its alternatives. In this course, Managing Data in R Using Data Frames, you will learn that tabular data (data.frame data.table, tibble) are the standard data type in R and most of the analyses performed in R use this data format. First you will discover how to manipulate and reshape a raw data frame. Then, you will explore the common tasks such as table import, factor conversion, formatting of a table header orientation in a table, column splits, column removal and addition, fusion of multiple tables, variable transformations, query, as well as export of a table Finally, you will produce a clean data frame which can be used for detailed analysis or passed on to team members When you complete this course, you ll have the skills and knowledge to perform standard tasks on data frames and can understand the many advantages of a data frame

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