Introduction to Data Manipulation in R with dplyr
Explore the essential functions of dplyr for data manipulation in R, focusing on key operations like selecting variables, filtering observations, rearranging rows, summarizing data, adding new variables, and grouping operations. Discover the basic structure of dplyr code to efficiently manipulate an
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Mastering Advanced R with Tidyverse for Efficient Data Analysis
Unlock the power of Advanced R with Tidyverse through in-depth exploration of functions, operators, data manipulation, and efficient coding techniques. Dive into Tidyverse packages like tibble, readr, and dplyr to streamline data storage, reading, and manipulation. Learn to work with RStudio Project
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Understanding Tidy Data Principles and Data Cleaning in R
Exploring concepts of tidy data and data cleaning techniques using dplyr, tidyr, and R Markdown. Learn how to tidy messy datasets, solve common data problems, and transform data for analysis. Dive into examples and practical tips for efficient data manipulation.
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