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CS 4460 Exam 1 UPDATED QUESTIONS AND CORRECT ANSWERS

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CS 4460 Exam 1 UPDATED QUESTIONS AND CORRECT ANSWERS What is visualization? - CORRECT ANSWER visual representation of data to amplify cognition. The use of computer-supported, interactive Often thought of as a process of making a graphic or an image, but is really in support of cognitive processes Purpose of visualization is insight, not pictures Two main purposes/uses of infovis - CORRECT ANSWER problems, answer questions, performing tasks 1) Analysis: understand, solve 2) Presentation: use vis to communicate ideas, influence, explain, persuade When to use infovis - CORRECT ANSWER More useful in exploratory data analysis Let yourself discover, but also explain and answer specific questions ("...highest value when it forces us to see what we were not expecting) When not to use infovis - CORRECT ANSWER When you know exactly what questions to ask -- other techniques that give explicit answers may be better (statistics, data mining, ML, etc.) Analysic tasks for infovis - CORRECT ANSWER information Search (ok) - finding a specific piece of Browse (better) - look over or inspect something in a more casual manner, seek interesting information Analysis (best) - comparison/difference, outliers, extremes, patterns Key benefits of visualization - CORRECT ANSWER Helping to raise new questions and supply answers Generating insights Facilitating awareness and understanding

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CS 4460 Exam 1 UPDATED QUESTIONS
AND CORRECT ANSWERS
What is visualization? - CORRECT ANSWER The use of computer-supported, interactive
visual representation of data to amplify cognition.



Often thought of as a process of making a graphic or an image, but is really in support of cognitive
processes



Purpose of visualization is insight, not pictures



Two main purposes/uses of infovis - CORRECT ANSWER 1) Analysis: understand, solve
problems, answer questions, performing tasks

2) Presentation: use vis to communicate ideas, influence, explain, persuade



When to use infovis - CORRECT ANSWER More useful in exploratory data analysis



Let yourself discover, but also explain and answer specific questions ("...highest value when it forces
us to see what we were not expecting)



When not to use infovis - CORRECT ANSWER When you know exactly what questions to ask
--> other techniques that give explicit answers may be better (statistics, data mining, ML, etc.)



Analysic tasks for infovis - CORRECT ANSWER Search (ok) - finding a specific piece of
information

Browse (better) - look over or inspect something in a more casual manner, seek interesting
information

Analysis (best) - comparison/difference, outliers, extremes, patterns



Key benefits of visualization - CORRECT ANSWER Facilitating awareness and understanding

Helping to raise new questions and supply answers

Generating insights

, Telling a story faithfully and making a point



Visual analytics and its main components - CORRECT ANSWER Combines analytical
reasoning and interactive visualizations to help effectively understand large and complex data sets

Main components are:

1) interactive visualization

2) Analytical reasoning

3) Computational analysis



Nominal data type - CORRECT ANSWER Categorical

E.g. Gender



Ordinal data type - CORRECT ANSWER Ordered set, obeys < relation

E.g. Freshman, sophomore, junior, senior



Ordinal = ordered



Quantitative data type - CORRECT ANSWER Can do math, equal intervals

E.g. Distance, weight



Visual mark effective - CORRECT ANSWER Nominal ones will have:

- spatial region

- color hue (different colors as in like red, blue, green, etc)

- motion

- shape



Why? Cause they're categories. There's not really a sense in having markers that are scale-like. So like
one of those lines with the circle you pull up and down. Or different size squares/dots. You have
totally different colors to differentiate bars on a bar graph for instance.



Ordinal & Quantitative:

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