This R-Guru cheat sheet is ideal for Statistical Programmers since it contains best practice examples for creating and updating tibbles in the pharma industry. Examples show common R tasks for importing data, creating data frames, direct variable referencing, piping, conditional and group processing, sql components, character and date operations, variable type conversions, transposing data frames, joining data frames, appending data frames, deriving summary variables, and creating graphs and output files. When possible, base R sample data frames are used in examples.