Abcott Institute Annotation And Data Visualization Discussion

Part1: Annotation is a crucial component of a good dataviz. It can turn a boring graphic into an interesting and insightful way to convey information. Dataviz is often separated in two main types: exploratory and explanatory analysis. Annotation is used for the second type.

Our current attention span for looking at things online is, on average, less than five seconds. So if you can’t grab someone’s attention within five seconds, you’ve likely lost your viewer. Adding accurate annotation can greatly help to grab audience attention. Use keywords, shapes, colors and other visuals to help them go straight to the point.

Annotation is a general concept, and hundreds of different ways to annotate a chart exist, depending on the context.

What are effective ways to leverage annotation in data visualizations? Provide 3 examples of how you would effectively use annotation in a data visualization. Describe how you would use them to keep viewers’ attention.

Discussion Length (word count): At least 250 words (not including direct quotes).

Part2: You are also required to post a response with facts and examples to a minimum of 2 other student in the class. (80-100 Words per response)

This assignment should be in APA format and have to include at least two references (Use two or more APA in-text citation). By submitting this discussion, you agree for Plagiarism check with all the existing internal student papers and outside external references.