Data Visualization Design, Quiz 2
(Multiple Choice Questions): Each question has four choices, out of which only one is the correct answer.
1.William Cleveland and Robert McGill’s paper explores the relationship between graphical design and a. Mathematical models b. Human vision c. Statistical inference d. Data preprocessing
2.The authors conducted experiments to investigate the ability of people to perceive which of the following graph elements accurately? a. Slope of a line b. Area of a circle c. Angle of a wedge d. All of the above
3.Which of the following is an example of a non-aligned graph? a. A bar chart b. A scatterplot c. A pie chart d. A line graph
4.What is the definition of graphical perception? a. The process of creating charts and graphs to visualize data b. The ability to detect patterns and trends in visual representations of data c. The process of designing visually appealing charts and graphs d. The ability to communicate data insights to stakeholders
5.What is the authors' recommendation regarding the use of grid lines in data visualizations? a. Grid lines should always be used to improve the readability of data visualizations b. Grid lines should be used sparingly, as they can clutter the visualization and distract from the data c. Grid lines are not necessary in data visualizations, as they do not significantly impact the viewer's perception of the data d. Grid lines should only be used in certain types of data visualizations, such as scatter plots and heat maps
6.Which of the following explains the usefulness of gridlines? a. Stroop Effect b. Weber’s Law c. Pareto Principle d. Ponzo Illusion
(Multiple Choice Questions): Each question has four choices, out of which only one is the correct answer.\ 1\.William Cleveland and Robert McGill’s paper explores the relationship between graphical design and a. Mathematical models b. Human vision c. Statistical inference d. Data preprocessing\ 2\.The authors conducted experiments to investigate the ability of people to perceive which of the following graph elements accurately? a. Slope of a line b. Area of a circle c. Angle of a wedge d. All of the above\ 3\.Which of the following is an example of a non-aligned graph? a. A bar chart b. A scatterplot c. A pie chart d. A line graph\ 4\.What is the definition of graphical perception? a. The process of creating charts and graphs to visualize data b. The ability to detect patterns and trends in visual representations of data c. The process of designing visually appealing charts and graphs d. The ability to communicate data insights to stakeholders\ 5\.What is the authors' recommendation regarding the use of grid lines in data visualizations? a. Grid lines should always be used to improve the readability of data visualizations b. Grid lines should be used sparingly, as they can clutter the visualization and distract from the data c. Grid lines are not necessary in data visualizations, as they do not significantly impact the viewer's perception of the data d. Grid lines should only be used in certain types of data visualizations, such as scatter plots and heat maps\ 6\.Which of the following explains the usefulness of gridlines? a. Stroop Effect b. Weber’s Law c. Pareto Principle d. Ponzo Illusion 7\.What is the "psychological principle of proximity"? a. Elements that are close together in space are perceived as a group b. Elements that are similar in color are perceived as a group c. Elements that are arranged in a straight line are perceived as a group d. Elements that are partially hidden are perceived as a whole\ 8\.What is the primary advantage of using color in data visualizations? a. It improves the aesthetic appeal of the visualization b. It reduces the cognitive load required for interpretation of the data c. It eliminates the need for annotations or explanatory text d. It provides a method for distinguishing between different categories or values in the data\ 9\.What is the purpose of the hierarchy principle in data visualization design? a. To group similar elements together b. To show relationships between different elements c. To create a sense of order and importance among elements d. To create a visual contrast between different elements\ 10\.Most schematic transport network maps discard geographical information, yet retain some key some of them because: a. They help people orient themselves b. They help to recognise the city c. They give unique character to the map d. They add historic and aesthetic value to the map\ 11\.The following image used the Gestalt principle of: Figure from the original question paper 7\.What is the "psychological principle of proximity"? a. Elements that are close together in space are perceived as a group b. Elements that are similar in color are perceived as a group c. Elements that are arranged in a straight line are perceived as a group d. Elements that are partially hidden are perceived as a whole\ 8\.What is the primary advantage of using color in data visualizations? a. It improves the aesthetic appeal of the visualization b. It reduces the cognitive load required for interpretation of the data c. It eliminates the need for annotations or explanatory text d. It provides a method for distinguishing between different categories or values in the data\ 9\.What is the purpose of the hierarchy principle in data visualization design? a. To group similar elements together b. To show relationships between different elements c. To create a sense of order and importance among elements d. To create a visual contrast between different elements\ 10\.Most schematic transport network maps discard geographical information, yet retain some key some of them because: a. They help people orient themselves b. They help to recognise the city c. They give unique character to the map d. They add historic and aesthetic value to the map\ 11\.The following image used the Gestalt principle of:\ a. Continuity b. Common fate c. Emergence d. Grouping\ 12\.What is the main disadvantage of using a logarithmic scale in data visualizations? a. It requires additional computational resources to generate the visualization b. It is difficult to interpret for viewers without a strong mathematical background c. It distorts the viewer's perception of the data d. It is not applicable for all types of data Multiple Select Questions: Each question has four choices, out of which one or more than one choice(s) is the correct answer.\ 1\.Which of the following is/are true about our visual system? a. It minismises the contrast with the background if the outlines of shapes are important b. It constructs surface colour based largely on edge contrast information c. It has higher contrast sensitivity in the chrominance than in the luminance channel d. It corrects (misreads) information based on perceived visual properties\ 2\.Visual estimation involves: a. Identification b. Discrimination c. Ranking d. Ratioing\ 3\.What is a potential downside of using the pop-out effect in data visualization? a. It can make it easier for the viewer to quickly identify important information. b. It can make it more difficult for the viewer to understand the data if too many elements pop out c. It can make the visual display too cluttered and overwhelming d. It can make the visual display too simple and boring.\ 4\.How can Weber's law be applied in data visualization? a. By adjusting the size of visual elements to make them more easily distinguishable b. By adjusting the color of visual elements to make them more easily distinguishable c. By adding a legend to a scatter plot to explain the relationship between the x and y axes d. By adjusting the position of visual elements to make them more easily distinguishable