Acadia University Week 3 Data Visualization and Trustworthiness Aspect Discussion

Question Description

1. Refer back to homework assignment 2, in week 3. Homework assignment 2 asked you to find a data set and perform some manipulations using R. For this assignment, you can use that same dataset, or select a new one of your choosing and use Tableau to create a visualization. The assignment requirements are:

Go to Tableau.com and download a free trial version of Tableau
Use Tableau to create an appropriate visualization for the dataset you selected for homework assignment 2, or another dataset of your choosing.
Provide screenshots showing your steps in Tableau (at least 3)
Explain how your visualization meets the criteria of being Trustworthy, Accessible, and Elegant (2-3 paragraphs)
Explain the story that your visualization should be telling to the viewer (2-3 paragraphs)
Compare and contrast your experiences using R versus Tableau. Which one is more user friendly? Are there limitations to one versus the other? (2-3 paragraphs)

2. Data representation is the act displaying the visual form of your data. The process of identifying the most effective and appropriate solution for representing our data is unquestionably the most important feature of our visualization design. Working on this layer involves making decisions that cut across the artistic and scientific foundations of the field.

Here we find ourselves face-to-face with the demands of achieving that ideal harmony of form and function that was outlined in Chapter 6, Data Representation. We need to achieve the elegance of a design that aesthetically suits our intent and the functional behavior required to fulfill the effective imparting of information.

According to Kirk 2016, in order to dissect the importance of data representation, we are going to “look at it from both theoretical and pragmatic perspectives.” Choose three of the storytelling/visualization techniques (Pages 140-188) in which data is presented and stories are being interpreted. Discuss the importance and the advantages of using these techniques. Provide an example of each technique.

a. important advantage of each technique

b. Also, are the examples, in your opinion, relevant and usable?

Reference

Kirk, A. (2016). Data Visualisation: A Handbook for Data Driven Design. Thousand Oaks, CA: Sage Publications, Ltd.

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