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Manipulating String Data in R
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.
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Length | 2.0 hours |
Starts | On Demand (Start anytime) |
Cost | $35/month (Access to entire library- free trial available) |
From | Pluralsight |
Instructor | Martin Burger |
Download Videos | On Windows, MacOS, iOS, and Android Pluralsight app |
Language | English |
Subjects | IT & Networking |
Tags | Data Professional |
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Rating | Not enough ratings |
---|---|
Length | 2.0 hours |
Starts | On Demand (Start anytime) |
Cost | $35/month (Access to entire library- free trial available) |
From | Pluralsight |
Instructor | Martin Burger |
Download Videos | On Windows, MacOS, iOS, and Android Pluralsight app |
Language | English |
Subjects | IT & Networking |
Tags | Data Professional |
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