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Cloudera Data Science Workbench: sparklyr, implyr, and More - dplyr Interfaces to Large-scale Data | PPT
Cloudera Data Science Workbench: sparklyr, implyr, and More - dplyr Interfaces to Large-scale Data | PPT

Big Data: Wrangling 4.6M Rows with dtplyr (the NEW data.table backend for dplyr)
Big Data: Wrangling 4.6M Rows with dtplyr (the NEW data.table backend for dplyr)

Big Data: Wrangling 4.6M Rows with dtplyr (the NEW data.table backend for dplyr)
Big Data: Wrangling 4.6M Rows with dtplyr (the NEW data.table backend for dplyr)

Introduction to Data Cleaning with the Tidyverse | Idaho Ag Stats
Introduction to Data Cleaning with the Tidyverse | Idaho Ag Stats

r - iterative computation ./ mutate of the mean of a large dataset within dplyr functions - Stack Overflow
r - iterative computation ./ mutate of the mean of a large dataset within dplyr functions - Stack Overflow

Big Data: Wrangling 4.6M Rows with dtplyr (the NEW data.table backend for dplyr)
Big Data: Wrangling 4.6M Rows with dtplyr (the NEW data.table backend for dplyr)

How to Use R for Large Data Analysis
How to Use R for Large Data Analysis

Introduction to Tidyverse : readr, tibbles, tidyr & dplyr | by Brian Ward | Medium
Introduction to Tidyverse : readr, tibbles, tidyr & dplyr | by Brian Ward | Medium

A Grammar of Data Manipulation • dplyr
A Grammar of Data Manipulation • dplyr

Big Data: Wrangling 4.6M Rows with dtplyr (the NEW data.table backend for dplyr)
Big Data: Wrangling 4.6M Rows with dtplyr (the NEW data.table backend for dplyr)

Join Data Frames with Base R vs. dplyr (Example) | Fastest Way to Merge
Join Data Frames with Base R vs. dplyr (Example) | Fastest Way to Merge

Base R, the tidyverse, and data.table: A comparison of R dialects to wrangle your data - Wetlandscapes
Base R, the tidyverse, and data.table: A comparison of R dialects to wrangle your data - Wetlandscapes

Three Strategies for Working with Big Data in R · R Views
Three Strategies for Working with Big Data in R · R Views

Arrange, Filter, & Group Rows In R Using dplyr
Arrange, Filter, & Group Rows In R Using dplyr

Manipulating, analyzing and exporting data with tidyverse
Manipulating, analyzing and exporting data with tidyverse

dplyr - In R, search for several unique IDs from one dataset in another - Stack Overflow
dplyr - In R, search for several unique IDs from one dataset in another - Stack Overflow

Databases using R · R Views
Databases using R · R Views

31 Working with Multiple Data Frames | R for Epidemiology
31 Working with Multiple Data Frames | R for Epidemiology

Popularity of R's dplyr and data.table packages [OC] : r/rstats
Popularity of R's dplyr and data.table packages [OC] : r/rstats

Basic Data Analysis with dplyr | R-bloggers
Basic Data Analysis with dplyr | R-bloggers

Data Analysis and Visualisation in R for Ecologists: Manipulating, analyzing and exporting data with tidyverse
Data Analysis and Visualisation in R for Ecologists: Manipulating, analyzing and exporting data with tidyverse

5 Manipulating data with dplyr | Introduction to R - tidyverse
5 Manipulating data with dplyr | Introduction to R - tidyverse

R dplyr filter() - Subset DataFrame Rows - Spark By {Examples}
R dplyr filter() - Subset DataFrame Rows - Spark By {Examples}

8 Cleaning data and core functions | The Epidemiologist R Handbook
8 Cleaning data and core functions | The Epidemiologist R Handbook

How to merge data in R using R merge, dplyr, or data.table | InfoWorld
How to merge data in R using R merge, dplyr, or data.table | InfoWorld

Chapter 3 Wrangling Data in the Tidyverse | Tidyverse Skills for Data Science
Chapter 3 Wrangling Data in the Tidyverse | Tidyverse Skills for Data Science

Working efficiently with large datasets
Working efficiently with large datasets

Fast data lookups in R: dplyr vs data.table - R programming
Fast data lookups in R: dplyr vs data.table - R programming

RPubs - Joining Data with dplyr
RPubs - Joining Data with dplyr