Tidyverse Articles and R Data Science Tutorials – datanovia

Keywords

tidyverse, R data science, dplyr, ggplot2, data manipulation

Introduction

The Tidyverse collection provides coherent data science packages for R including data manipulation, visualization, and analysis tools with consistent syntax and design principles. This ecosystem encompasses dplyr, ggplot2, and specialized packages for comprehensive analytical workflows. Explore expert-level tutorials, tools, and abstracts addressing Tidyverse implementation, data science workflows, and analytical best practices.

List of Articles

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Data Wrangling with dplyr

Transform and Summarize Data with dplyr in R

R Programming Data Wrangling Data science dplyr Tidyverse Beginner

Alboukadel Kassambara, 2024-02-10, in Programming

Learn how to efficiently manipulate and transform data using dplyr. This tutorial covers key functions such as filter(), select(), mutate(), group_by(), and summarize() to streamline your data…

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Tidyverse for Data Science

An In-Depth Tutorial on dplyr, tidyr, and ggplot2

R Programming Tidyverse Data Science Advanced

Alboukadel Kassambara, 2024-02-10, in Programming

Learn how to harness the power of the tidyverse for data science. This tutorial provides an in-depth look at dplyr for data manipulation, tidyr for data tidying, and ggplot2 for data visualization…

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Parallel Processing in R with furrr

Leveraging furrr for Tidy, Parallel Workflows

R Programming Tidyverse Parallel Processing Performance Optimization Advanced

Alboukadel Kassambara, 2024-02-10, in Programming

Learn how to use the furrr package to parallelize your purrr workflows in R. This tutorial covers setting up future plans, using future_map functions, and best practices for efficient parallel data…

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