Discussion question
Jay Nanda
Chapter11.pptxWELCOME TO ITS530
Hello class!
This is Dr. Festus Elleh, your Professor for this class. Please, see the syllabus for my bio. Welcome to ITS 530 – Analyzing and Visualizing Data. This course introduces you to modern programs and technologies that are useful for organizing, manipulating, analyzing, and visualizing data. We start with an overview of the R language, which will become the foundation for your work in this class. Then we’ll move on to other useful tools, including working with regular expressions, basic UNIX tools, XML, and SQL.
Discussion Policy
You are expected to post on each graded discussion topic a minimum of three times each week on different days to earn full credits. You are also expected to add quality and value through your comments and questions.
WELCOME TO ITS530
APA Guideline
Your papers must be APA compliant. You are required to provide a reference for every in-text citation. The references must be in APA format.
If you have any questions, please, post it in the Q&A section. If it is urgent email me. Many of you may already be familiar with the process. You will do well if you participate actively in the class activities and keep up with due dates for the gradable assignments. I wish you all the best of luck in this class and looking forward to working with you.
Dr. Elleh
Analyzing and Visualizing Data
Chapter 1
The Components of Understanding
A Definition for Data Visualization
Data
Representation
Presentation
Understanding
The Components of Understanding cont.
Process of Understanding
Perceiving
Interpreting
Comprehending
The Components of Understanding cont.
1.2 The Importance of Conviction
Principles of Good Visualization Design
Trustworthy
Accessible
Elegant
Principle 1
Principle 1: Good Data Visualization is Trustworthy
Trust vs Truth
Trust Applies Throughout the Process
Principle 1 cont.
Principle 2
Principle 2: Good Data Visualization is Accessible
Reward vs Effort
The Factors Your Audiences Influence
The Factors You Can Influence
Principle 3
Principle 3: Good Data Visualization is Elegant
What is Elegant Design?
How Do You Achieve Elegance in Design?
Principle 3
