Steven Sanderson de-duplicates, starting with values:
In data analysis and programming, it’s common to encounter situations where you need to identify duplicate values within a dataset. Whether you’re a beginner or an experienced programmer, knowing how to find duplicate values is a fundamental skill. In this blog post, we will explore two different approaches to accomplish this task using base R functions and the dplyr package in R. By the end, you’ll have a clear understanding of how to detect and manage duplicate values in your own datasets.
From there, we get to see various ways to de-duplicate rows in R:
In data analysis and manipulation tasks, it’s common to encounter situations where we need to identify and handle duplicate rows in a dataset. In this blog post, we will explore three different approaches to finding duplicate rows in R: the base R method, the dplyr package, and the data.table package. We’ll compare their performance using the
benchmarkfunction and provide insights on when to use each approach. So, grab your coding gear, and let’s dive in!
Duplicate values is a relatively tricky one, with rows being much easier.