Skip to content
Home
Programs
Close Programs
Open Programs
Cybersecurity
Courses
Community
News
Knowledgebase
GIS
Courses
Community
News
Knowledgebase
Agile Methodologies
Courses
Community
News
Knowledgebase
Catalog
About
News
Contact Us
Login
Sign Up
Login
Sign Up
Login
Sign Up
Home
All Programs
Computers
Languages
Describing Data
Describing Data
Curriculum
6 Sections
26 Lessons
10 Weeks
Expand all sections
Collapse all sections
Chapter 1: Getting Graphic
4
1.1
Finding Patterns
1.2
Doing the Basics: Base R Graphics, That Is
1.3
Kicking It Up a Notch to ggplot2
1.4
Putting a Bow On It
Chapter 2: Finding Your Center
7
2.1
Means: The Lure of Averages
2.2
Calculating the Mean
2.3
The Average in R: mean()
2.4
Medians: Caught in the Middle
2.5
The Median in R: median()
2.6
Statistics à la Mode
2.7
The Mode in R
Chapter 3: Deviating from the Average
3
3.1
Measuring Variation
3.2
Back to the Roots: Standard Deviation
3.3
Standard Deviation in R
Chapter 4: Meeting Standards and Standings
4
4.1
Catching Some Zs
4.2
Standard Scores in R
4.3
Where Do You Stand?
4.4
Summarizing
Chapter 5: Summarizing It All
5
5.1
How Many?
5.2
The High and the Low
5.3
Living in the Moments
5.4
Tuning in the Frequency
5.5
Summarizing a Data Frame
Chapter 6: What’s Normal?
3
6.1
Hitting the Curve
6.2
Working with Normal Distributions
6.3
Meeting a Distinguished Member of the Family
This content is protected, please
login
and
enroll
in the course to view this content!
Login
or
Sign Up
Home
Programs
Close Programs
Open Programs
Cybersecurity
Courses
Community
News
Knowledgebase
GIS
Courses
Community
News
Knowledgebase
Agile Methodologies
Courses
Community
News
Knowledgebase
Cybersecurity
Courses
Community
News
Knowledgebase
Catalog
About
News
Contact Us
Linkedin
Instagram
Modal title
Main Content
