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In this video, we dive into the powerful str_sub() function from the stringr package, a must-know tool for anyone involved in data science, text manipulation, or R programming. The stringr package in R is a comprehensive toolkit designed to make working with strings easier and more intuitive. Whether you're cleaning data, extracting specific text patterns, or just need to manipulate strings, stringr has got you covered. stringr is part of the tidyverse collection of packages. In this tutorial, we focus on the str_sub() function, which is used to extract or replace substrings within a string. This function is incredibly useful for tasks like truncating text, isolating certain characters, or modifying strings to suit your data analysis needs. We’ll walk you through: How to use str_sub() to extract specific parts of a string. Practical examples of str_sub() in real-world data science projects. Whether you're a beginner in R or looking to refine your data manipulation skills, this video is perfect for you. By the end of this tutorial, you'll have a solid understanding of how to effectively use str_sub() and the broader capabilities of the stringr package. Don’t forget to like, comment, and subscribe for more R programming and data science tutorials! Keywords: R programming, stringr package, str_sub function, text manipulation in R, data science, R tutorial, string manipulation, substring extraction, data cleaning, R data science, R for beginners, R data analysis.