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

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)

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

Tidyverse data wrangling | Introduction to R - ARCHIVED
Tidyverse data wrangling | Introduction to R - ARCHIVED

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

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

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

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

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

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

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

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

Chapter 6 Wrangling Rows in R with Filter | Reproducible Medical Research with R
Chapter 6 Wrangling Rows in R with Filter | Reproducible Medical Research with R

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

Working with “large” datasets, with dplyr and data.table | Freakonometrics
Working with “large” datasets, with dplyr and data.table | Freakonometrics

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

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)

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)

Dplyr Tutorial: Merge and Join Data in R with Examples
Dplyr Tutorial: Merge and Join Data in R with Examples

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

Merging and appending datasets with dplyr (R) – Pere A. Taberner
Merging and appending datasets with dplyr (R) – Pere A. Taberner

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

Working with “large” datasets, with dplyr and data.table | Freakonometrics
Working with “large” datasets, with dplyr and data.table | Freakonometrics

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

slice() from dplyr in R - Examples - Spark By {Examples}
slice() from dplyr in R - Examples - Spark By {Examples}

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