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Introduction to Data Science Using R
Runestone Version 1
Dr. Jan Pearce, Editor
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Prefaces
Repository and License
Acknowledgements
Preface
Overview
1
About Data
1.1
What is Data?
1.2
Combining Bytes into Larger Structures
1.3
Chapter Challenge
1.4
Test Yourself
2
Identifying Data Problems
2.1
Thinking Like a Domain Expert
2.2
Understanding Through Stories
2.3
Identifying Anomalies
2.4
Addressing Risk and Uncertainty
2.5
Test Yourself: Identifying Data Problems
3
R and R-Markdown
3.1
The R Language
3.2
R-Studio
3.3
R Markdown
3.4
Using R in R-Studio
3.5
Questions
4
Follow the Data
4.1
Follow the Data
4.2
Test Yourself
5
Rows and Columns
5.1
Rows and Columns
5.2
Creating Data Vectors in R
5.3
Building a Data Frame
5.4
Summarizing Data
5.5
Accessing and Modifying Data Frame Variables
5.6
Key Concepts and Vocabulary
5.7
R Functions Used in This Chapter
5.8
Test Yourself
6
Beer, Farms, and Peas
6.1
Beer, Farms, and Peas
6.2
Key Descriptive Statistics
6.3
Importing and Preparing Census Data
6.4
Analyzing the Population Data
6.5
Understanding Data Distributions
6.6
Chapter Challenge and Questions
6.7
R Functions Used in This Chapter
7
Sample in a Jar
7.1
Sample in a Jar
7.2
Visualizing the Distribution and Key Theorems
7.3
Chapter Summary
7.4
Test Yourself
7.5
R Commands Used in This Chapter
8
Big Data? Big Deal!
8.1
Big Data? Big Deal!
8.2
The Tools of Data Science
8.3
Test Yourself
9
Onward with RStudio
9.1
Onward with RStudio
9.2
Extending R with Packages
9.3
Test your knowledge
9.4
R Commands Used in this Chapter
10
Line Up, Please
10.1
The Basics of Linear Modeling
10.2
Case Study: Australian Rules Football Attendance
10.3
Getting and Exploring the Data in R
10.4
Building a Single-Variable Model
10.5
Adding a Second Variable to the Model
10.6
Conclusion and Next Steps
10.7
Test Yourself
10.8
R Functions Used in This Chapter
11
Hi Ho, Hi Ho, Data Mining We Go
11.1
What is Data Mining?
11.2
Understanding Association Rules
11.3
Exploring Grocery Data with R
11.4
Generating and Visualizing Rules
11.5
Test Your Knowledge
11.6
R Functions Used in This Chapter
12
What’s Your Vector, Victor
12.1
On Vectors
12.2
Preparing the Data
12.3
Training and Evaluating the Model
12.4
Testing the Model
12.5
Test Yourself
Index
1
Installing R and R-Studio
Section
1.3
Chapter Challenge
Discover the meaning of "Boolean Logic" and the rules for "and", "or", "not", and "exclusive or". Once you have studied this for a while, write down on a piece of paper, without looking, all of the binary operations that demonstrate these rules.
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