Managing Data in R Using Data Frames

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Martin Burger

2:00:59

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1. Course Overview

1. Course Overview.mp4

01:41

2. Understanding the Concepts Behind a Data Frame

1. Intro.mp4

01:23

2. Managing Expectations.mp4

05:09

3. Course Dataset.mp4

01:39

4. Data Import.mp4

05:34

5. Working with Factors and Strings.mp4

06:00

6. Updating R Objects.mp4

03:00

7. Summary.mp4

01:33

3. Exploring a Data Frame

1. Intro.mp4

01:28

2. Working on Column Names.mp4

05:54

3. Orientation in a Dataset.mp4

03:26

4. Using Summary Statistics.mp4

06:15

5. Contingency Tables for Factors.mp4

06:14

6. The Main Chart Types.mp4

03:41

7. Data Visualization for Exploration.mp4

06:36

8. Detecting Missing Data.mp4

04:29

9. Summary.mp4

01:29

4. Making Changes to a Data Frame

1. Intro.mp4

01:39

2. Splitting Strings.mp4

08:37

3. Adding and Removing Columns.mp4

04:15

4. Adding External Variables via Joins.mp4

04:37

5. Variable Transformations.mp4

02:45

6. Aggregate Statistics.mp4

08:00

7. Summary.mp4

01:36

5. Continuing your Learning Path and Summary

1. Intro.mp4

01:15

2. Exporting Clean Data.mp4

02:43

3. Getting Help in R.mp4

07:19

4. Using Online Resources.mp4

08:44

5. Course Summary.mp4

03:58

Description

Learn how to use and reshape data frames in R. The course also covers common alternatives to the data frame like tibble and data table.

What You'll Learn?

Learn to work with very popular and versatile tabular data types in R. When using R, there is no way around the data frame and its alternatives. In this course, Managing Data in R Using Data Frames, you will learn that tabular data (data.frame, data.table, tibble) are the standard data type in R and most of the analyses performed in R use this data format. First, you will discover how to manipulate and reshape a raw data frame. Then, you will explore the common tasks such as table import, factor conversion, formatting of a table header, orientation in a table, column splits, column removal and addition, fusion of multiple tables, variable transformations, query, as well as export of a table. Finally, you will produce a clean data frame which can be used for detailed analysis or passed on to team members.

When you complete this course, you’ll have the skills and knowledge to perform standard tasks on data frames and can understand the many advantages of a data frame.

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Data Science

R Programming

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

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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.