What are the three principles of good visualization design? 1. good data visualization is excellent. 2. good data visualization is trustworthy. 3. good data visualization is elegant. 4. good data visualization is accessible.

The correct answer is: 2. Good data visualization is trustworthy. 3. Good data visualization is elegant. 4. Good data visualization is accesible.

Explanation:

1. Data visualization has to be trustworthy: The information has to be honest and real. Sometimes, people try to exaggerate the information they've found by creating visualizations that don't reflect reality.

2. Data visualization is elegant. Data visualization needs to have an aesthetic aspect to it. Data per se is boring and may not captivate the audience, so data visualization has to be interesting to look at.

3. Data visualization is accessible: There's a cognitive bias where someone is presenting a certain topic, and it's the tendency to think that the audience knows about the topic that you are speaking with the same level of expertise, and thus sometimes the data that the speaker shows is very complex or intricate for the audience to understand. To avoid this mistake, the data visualized has to be clear and accessible to anyone seeing the presentation.

manifest functions are the recognized and intended consequences of any social pattern, while latent functions are those unrecognized and unintended consequences. to analyze the manifest functions of any social institution, we have to study its contribution to the continuation of a group, community, or society.

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