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R Dplyr

61 posts

How to use a variable in dplyr::filter?

Last Updated: 23 July 2025

Data manipulation and transformation require the use of data manipulation verbs and the dplyr package in R is crucial. One of its functions is filter(), which allows the r...read more

How to Install dplyr in Anaconda

Last Updated: 23 July 2025

The dplyr package is one of the most popular and powerful tools in R for data manipulation and transformation. It provides a set of functions designed to make data manipul...read more

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How do {{}} double curly brackets work in dplyr?

Last Updated: 23 July 2025

The use of double curly brackets {{}} is a feature introduced with the tidy evaluation and makes it easier to program with dplyr package. This article explains the theory ...read more

How count matching groups by a threshold in R

Last Updated: 23 July 2025

In data analysis, it is common to encounter situations where you need to count the number of groups that meet a certain threshold. This is a fundamental operation that can...read more

How to Change value of variable with dplyr

Last Updated: 23 July 2025

The Dplyr package in R is a powerful tool for data manipulation and transformation. It provides a set of functions that allow you to perform common data manipulation tasks...read more

AI-ML-DS With R

How to Recode Values Using dplyr

Last Updated: 23 July 2025

Recoding values is a common task in data analysis, and the dplyr package in R Programming Language provides a straightforward way to achieve this using the mutate() functi...read more

Tidyverse joins in R

Last Updated: 23 July 2025

Data manipulation is a crucial aspect of data analysis and plays a significant role in deriving insights from datasets. The Tidyverse package in R provides a suite of tool...read more

Tidyverse Functions in R

Last Updated: 23 July 2025

Tidyverse is a collection of R packages designed to make data analysis easier, more intuitive, and efficient. Among the various packages within Tidyverse, several key func...read more

How to Replace Multiple Values in Data Frame Using dplyr

Last Updated: 23 July 2025

Replacing multiple values in a data frame involves substituting specific values in one or more columns with new values. This process is often necessary to standardize or c...read more

Basic Operations using dplyr

Last Updated: 23 July 2025

The dplyr package in R Programming Language is a powerful toolkit for data manipulation. It simplifies common tasks like filtering, selecting, mutating, summarizing, and j...read more

Convert Multiple Columns to Numeric Using dplyr

Last Updated: 23 July 2025

In data analysis with R Programming Language, it's common to encounter datasets where certain columns must be converted to numeric type for further study or modeling. In t...read more

dplyr arrange() Function in R

Last Updated: 23 July 2025

In data analysis and manipulation, arranging data according to specific criteria is a fundamental operation. Whether it's sorting a dataset by a certain column or multiple...read more

How to Replace NA with Zero in dplyr

Last Updated: 23 July 2025

Missing values, denoted as NA, are a common occurrence in datasets and can pose challenges during data analysis and visualization. Handling missing values appropriately is...read more

dplyr Full Join in R

Last Updated: 24 July 2025

The dplyr package in R programming language provides functions to combine datasets using various types of joins. A full join includes all rows from both data frames, addin...read more

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AI-ML-DS With R

dplyr::separate() | R

Last Updated: 23 July 2025

In data preprocessing, it's common to encounter datasets where information is combined within a single column, necessitating separation into multiple columns for analysis ...read more

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