Programming and DevOps Essentials
Programming and DevOps Essentials
Tags / dplyr
Creating a New Categorical Variable Based on Multiple Conditions in R Using dplyr Library
2024-05-01    
Passing Column Names as Parameters to a Function Using dplyr in R
2024-02-21    
Replacing Part of a String Using a Lookup Table: A Step-by-Step Guide to Efficient Matching and Filling
2024-01-31    
How to Add New Single-Character Variables to Lists of DataFrames in R Using Purrr and Dplyr
2024-01-09    
Calculating Lagged Exponential Moving Average (EMA) of a Time Series with R
2024-01-02    
Optimizing Similarity Matching: A Step-by-Step Guide to Grouping Observations
2023-12-17    
Converting Wide Format to Long Format in R Using dplyr Library
2023-11-12    
Counting NAs Between First and Last Occurred Numbers in Each Column
2023-10-15    
Solving the Issue with `str_replace_all` and `as.character` in the `mutate` Function in R.
2023-09-16    
Grouping Data by Multiple Columns in R Using dplyr Library
2023-09-09    
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© 2025 Programming and DevOps Essentials