Hands On Training

String Manipulation with stringr in R

DataCamp

(3)

Course Features

Duration

4 hours

Delivery Method

Online

Available on

Limited Access

Accessibility

Mobile, Desktop, Laptop

Language

English

Subtitles

English

Level

Intermediate

Teaching Type

Self Paced

Video Content

4 hours

Course Description

Character strings can be found at all stages of data science projects. It is possible to extract text data, clean up strings and turn numeric results into sentences that can be used in reports. It is possible to match strings with patterns. This course will show you how to disassemble strings and put them back together. You can also use stringr to match strings and extract strings using regular expressions. This is an effective way to express patterns.

Course Overview

Virtual Labs

International Faculty

Case Based Learning

Post Course Interactions

Case Studies,Hands-On Training,Instructor-Moderated Discussions

Skills You Will Gain

Prerequisites/Requirements

Intermediate R

What You Will Learn

You'll start with some basics: how to enter strings in R, how to control how numbers are transformed to strings, and finally how to combine strings together to produce output that combines text and nicely formatted numbers

ou'll start by learning about some stringr functions that are very similar to some base R functions, then how to detect specific patterns in strings, how to split strings apart and how to find and replace parts of strings

In this chapter you'll learn about regular expressions, a language for describing patterns in strings

You'll also learn to deal with and strings or patterns that contain Unicode characters

Course Content

Expand all sections

Module 1: String basics

Module 2: Introduction to stringr

Module 3: Pattern matching with regular expressions

Module 4: More advanced matching and manipulation

Course Instructors

Charlotte Wickham

Assistant Professor at Oregon State University

Charlotte is an Assistant Professor in the Department of Statistics at Oregon State University and an avid R programmer with a passion for teaching. Her interests lie in spatiotemporal data, statisti...

Course Reviews

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