How to Count Keywords Separately in R Using Tidyr and Dplyr

How to Count Observations by Group in R: Using dplyr and tidyr for Meal DataПодробнее

Dplyr Essentials (easy data manipulation in R): select, mutate, filter, group_by, summarise, & moreПодробнее

The Ultimate Course to Quickly Master Data Manipulation in R Using dplyr & the tidyverseПодробнее

Reshaping and Combining Data in R using dplyr and tidyr - Part 1Подробнее

How to selectively split columns in RПодробнее

Transforming multiple columns into separate name-value pairs in R using dplyrПодробнее

Reshaping DataFrames in R with dplyr and tidyrПодробнее

R : tidyverse: count number of a specific level when summarizingПодробнее

Using tidyr's separate and unite functionsПодробнее

How to Separate R Dataframe Rows into Key-Value Pairs Using dplyr and tidyrПодробнее

Count Keyword Occurrences in Dataframe DESCRIPTION Column with RПодробнее

The Data Is: Using dplyr's filter and count in R to see how people use grammar (CC003)Подробнее

How to Split DataFrames by Column Names in R Using dplyrПодробнее

How to Count the Number of Occurrences of a Value Across Multiple Columns in RПодробнее

Data Manipulation in R -dplyr and tidyrПодробнее

Split Player and Chat from Chat Log using dplyr and tidyr in RПодробнее

Transforming Comma-separated Keywords into Multiple Columns in RПодробнее

Data Wrangling - dplyr & tidyr | R Cheat SheetsПодробнее

How to Separate DataFrame Columns in R Using tidyr's separate FunctionПодробнее