Programming and DevOps Essentials
Programming and DevOps Essentials
Categories / dplyr
How to Use str_extract_all for Dynamic Search Patterns in R
2023-07-26    
Understanding dplyr Pipes and Error Messages in R: Mastering the Art of Pipe Usage for Efficient Data Manipulation
2023-07-17    
Summing Multiple Columns in R Programming Using dplyr Package
2023-07-16    
Creating Samples Based on Groups of Values with Dplyr: A Step-by-Step Guide
2023-07-08    
Understanding the R ifelse Function and its Applications in Data Manipulation
2023-07-04    
Data Summarization and Grouping with Dplyr in R: A Comprehensive Guide
2023-07-02    
Indexing a DataFrame with Two Vectors to Add Metadata Using Classical and Functional Programming Approaches in R
2023-06-14    
Using `mutate` to Create Column Copies Using a Named Vector
2023-06-09    
Understanding the Power of lubridate: A Replacement for Repeated str_detect Usage in R
2023-06-03    
Replacing Values in a Data Frame with Random Uniform Distribution Using R
2023-05-29    
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© 2025 Programming and DevOps Essentials