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Querying and Converting Data Types in R

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Martin Burger

2:06:10

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  • 00. Course Overview.mp4
    01:58
  • 00. Intro.mp4
    01:30
  • 01. Managing Expectations.mp4
    03:48
  • 02. RStudio Orientation.mp4
    06:14
  • 03. Packages Used in the Course.mp4
    01:40
  • 04. Exploring Datasets.mp4
    08:01
  • 05. Course Datasets.mp4
    02:22
  • 06. Tabular Data.mp4
    02:40
  • 07. Alternatives to a Data Frame.mp4
    04:16
  • 08. Dimensionality in Data Formats.mp4
    03:04
  • 09. Outro.mp4
    01:51
  • 00. Intro.mp4
    01:12
  • 01. Data Format Overview.mp4
    03:58
  • 02. Integer and Numeric Data.mp4
    04:05
  • 03. Character and Factor Variables.mp4
    03:57
  • 04. Boolean or Logical Data.mp4
    02:44
  • 05. Date and Time Formats.mp4
    07:46
  • 06. Converting Character to Date and Time.mp4
    05:07
  • 07. Working with Lists.mp4
    03:23
  • 08. Summary.mp4
    01:57
  • 00. Intro.mp4
    01:37
  • 01. Queries on a data.frame with Box Brackets.mp4
    02:34
  • 02. Queries on a data.frame Based on Logical Tests.mp4
    03:59
  • 03. Queries on a data.table.mp4
    04:31
  • 04. Advanced Queries on a data.table.mp4
    06:34
  • 05. Queries on a tibble.mp4
    06:37
  • 06. Single Table Verbs in dplyr.mp4
    04:15
  • 07. Queries on String Data.mp4
    04:21
  • 08. Summary.mp4
    01:37
  • 00. Intro.mp4
    00:59
  • 01. What Is the Tidyverse - .mp4
    07:55
  • 02. Avoid this Mistake while Learning R.mp4
    03:19
  • 03. Course Summary.mp4
    03:38
  • 04. Next Steps.mp4
    02:41
  • Description


    Get started with R and learn how to work with different data types. Understand the most powerful data format, the Data Frame, and learn how to query this format.

    What You'll Learn?


      Have you ever wanted to learn how R is used to handle the most common data types? The knowledge you will gain here is foundational for any aspiring R programmer. In this course, Querying and Converting Data Types in R, you will develop an understanding of all of these data types and how they are processed, converted, and filtered. First, you will explore general data analysis concepts and take a look at the data frame and its main alternatives. Next, you will learn the major data types in R: numeric, integer, factor, character, boolean, and date and time. Finally, you will discover how these data types are used in a data frame. The query and filtering methods largely depend on the data types available in that data frame. When you are finished with this course, you will have your first set of skills that will be invaluable in your further learning path. In fact, the skills taught here are so important in data science, that most of it can be used in other languages (Python, Matlab) and programs (SPSS).

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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 34
    • duration 2:06:10
    • level preliminary
    • Release Date 2023/10/12