Key Concepts

1. Evaluate our visualization(s) using data visualization best practices
2. Rate your visualization

1. This worksheet should be completed by a colleague or classmate
2. Do not explain the visualization to the reviewer, only provide the visualization(s) for the reviewer.
3. Your visualization(s) should speak for and stand on its own.

To highlight both the shortcomings as well as strengths of the visualization(s).

1. Does the visualization(s) answer the question posed?e
2. Is the visualization fit for the purpose/audience?
3. Is the visualization effective (does the visualization provide the insight expected)?
4. Is the visualization of the right chart type for the data?
5. List one thing that is done well.
6. List one thing that could have been done better.
7. Make some recommendations for refining the visualization.

Resources

Use the following external links for additional resources.

Worksheet

Complete a self-critique and save your results as a PDF file.

Review

Horizonal assessment of the critique stage across the data visualization process mapped to Bloom’s Taxonomy of Hierarchical Learning

What you should know:

Bloom’s Taxonomy Hierarchy	You should know
Remember	It’s important to inspect the entire data visualization when forming a critique. Recall data visualization principles.
Understand	Data visualization best practices.
Apply	Data Visualization Checklist.
Evaluate	Critique is an analytical evaluation of what works and what doesn’t.
Analysis	Know the question(s) to be answered by the visualization. Does the visualization(s) answer the question(s). Know who the intended audience is. Is the visualization approriate for the intended audience?
Create	Propose and make recommendations for improvement. (See Resources tab).

Charts

How to choose the right chart for your data

What you should be able to do:

Bloom’s Taxonomy Hierarchy	You should be able to do
Remember	Recall visualization principles.
Understand	Recall data visualization best practices..
Apply	Examine visualization solution(s) for insight..
Evaluate	Assess data visualization products for impact & effectiveness of visualization(s).
Analysis	Distinguish between the question being asked and the visual solution provided; does the visualization address/answer the question(s).
Create	Propose and make recommendations for improvement.

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