Course info
Jan 16, 2020
2h 1m
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Do you want to learn how to use R to efficiently clean and analyze string data? In this course, Manipulating String Data in R, you will learn multiple techniques that are crucial for string related work. First, you will learn the multiple functions available that help you in handling string or character data. Next, you will be shown the best functions from both R Base as well as the stringr add on package. Then, all common tasks will be demonstrated including: replacing, removing, counting or searching string patterns via regex syntax. Next, you will understand Regex, are invaluable in defining specific patterns in a string. Finally, you will see how sentiment analysis is performed in R, and the sentiment lexicons available for fast and efficient sentiment analysis. When you’re finished with this course, you’ll have the skills and knowledge of string handling needed to work on all sorts of text based data including books, social media feeds and tweets.

About the author
About the author

Martin is a trained biostatistician, programmer, consultant and data science enthusiast. His main objective: Explaining data science in a straightforward way. You can find his latest work over at:

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Section Introduction Transcripts
Section Introduction Transcripts

Course Overview
[Autogenerated] welcome to manipulating string data in our This is Martin Berger for Parasite. In this intermediate level course, I will show you the common are tools that help you in handling character or string data. This type of data has its own rules, and it is not always easy to work on string data with this course. I want to help you in tackling this issue. We are going to use our base regular expressions in chief sub as well as the ________ at On package. ________ is part off the tidy worse, and it's widely considered the best alternative to cheese up. I will also show you how sentiment analysis can be performed on larger text bodies or whole books. In fact, sentiment analysis is one of the main applications off string manipulations. Today. Text based data from the Internet and social media is often analyzed with this tool off sentiment analysis. No. To fully benefit from this course, you should have some familiarity with our studio and our syntax. This course is best suited for people at an intermediate level. All right, guys, I really hope you're going to use this course to master string data in our