2

1. Create and post a graphic that illustrates the data visualization process/workflow. Detail and describe each step in the process/workflow procedure. It should have a "graphic" and a "description". 

2. What role does editorial thinking play in data visualization? Why is it important or not important in your opinion?

3. Select a data presentation from chapter 6 of the text (Grey Section).
Answer the following:
a. What is the visual that you selected?
b. What is the purpose of the visual?
c. What kind of data should be compiled in the selected visual?
d. What kinds of data should not be compiled in the selected visual?
e. How can you avoid making the visual misleading?

4. What are the advantages and disadvantages of having interactivity in data visualizations? Provide at least three advantages and three disadvantages. Why do you consider each an advantage and disadvantage?

5. Select a data presentation from chapter 6 of the text (Grey Section).
(You must select a different graph than one that you have previously discussed)
Answer the following:
a. What is the visual that you selected?
b. What is the purpose of the visual?
c. What kind of data should be compiled in the selected visual?
d. What kinds of data should not be compiled in the selected visual?
e. How can you avoid making the visual misleading?

6. What are your most important considerations when you are composing a data visualization? List at least 3 considerations. Why do you consider these to be your most important considerations?

Text: Kirk, A. (2016). Data visualisation a handbook for data driven design. Los Angeles, CA: Sage. ISBN: 978-1473912144