Overview: Presents techniques that allow users to spend less time obtaining, cleaning, manipulating, and preprocessing data and more time visualizing, analyzing, and presenting data via a step-by-step tutorial .This guide for practicing statisticians, data scientists, and R users and programmers will teach the essentials of preprocessing: data leveraging the R programming language to easily and quickly turn noisy data into usable pieces of information. Data wrangling, which is also commonly referred to as data munging, transformation, manipulation, janitor work, etc., can be a painstakingly la
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