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Manipulating String Data in R

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Martin Burger

2:01:38

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  • 1. Course Overview.mp4
    01:36
  • 1. Introduction.mp4
    01:23
  • 2. Managing Expectations.mp4
    02:47
  • 3. Working with Strings - Simple Example.mp4
    04:23
  • 4. Main Problems of Working with Strings.mp4
    06:06
  • 5. Pattern Matching and Replacement with Substitute Functions.mp4
    04:29
  • 6. Regular Expressions.mp4
    05:12
  • 7. Regular Expressions Use Cases and Metacharacters.mp4
    07:03
  • 8. Summary.mp4
    01:30
  • 1. Introduction.mp4
    01:28
  • 2. Escape Symbols.mp4
    05:42
  • 3. Matching Patterns at First and Last String Positions.mp4
    03:35
  • 4. String Separation with Splitting Functions.mp4
    04:09
  • 5. Date Time Related Strings.mp4
    06:13
  • 6. Repetition Quantifiers.mp4
    08:23
  • 7. Summary.mp4
    01:51
  • 1. Introduction.mp4
    01:05
  • 2. The stringr Library.mp4
    05:32
  • 3. Further String Operations with stringr.mp4
    04:17
  • 4. Sort, Order, and Find Strings.mp4
    05:20
  • 5. Summary.mp4
    01:42
  • 1. Introduction.mp4
    01:46
  • 2. Sentiment Analysis with Opinion Lexicons.mp4
    05:59
  • 3. The Jane Austen Text Corpora for Exercise.mp4
    04:02
  • 4. Working on Stop Words.mp4
    04:51
  • 5. Getting the Frequency of Words.mp4
    03:19
  • 6. Sentiment Analysis.mp4
    07:37
  • 7. Inspecting and Refining Results.mp4
    06:46
  • 8. Course Summary.mp4
    03:32
  • Description


    Learn how to work on string data in R. Use the best add on packages' and perform sentiment analysis on large texts.

    What You'll Learn?


      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.

    More details


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    Martin Burger
    Martin Burger
    Instructor's Courses
    Martin studied biostatistics and worked for several pharmaceutical companies before he became a data science consultant and author. He published over 15 courses on R, Tableau 9 and other data science related subjects. His main focus lies on analytics software like R and SPSS but he is also interested in modern data visualization tools like Tableau. If he is not busy coding, blogging or working out new teaching concepts you may find him skiing or hiking in the Alps.
    Pluralsight, LLC is an American privately held online education company that offers a variety of video training courses for software developers, IT administrators, and creative professionals through its website. Founded in 2004 by Aaron Skonnard, Keith Brown, Fritz Onion, and Bill Williams, the company has its headquarters in Farmington, Utah. As of July 2018, it uses more than 1,400 subject-matter experts as authors, and offers more than 7,000 courses in its catalog. Since first moving its courses online in 2007, the company has expanded, developing a full enterprise platform, and adding skills assessment modules.
    • language english
    • Training sessions 29
    • duration 2:01:38
    • level average
    • English subtitles has
    • Release Date 2023/08/01