Data Vis Exam

Given a plot of life expectancy based on country and birth year, you look up your country and birth year, find the displayed life expectancy, and conclude you will probably live that long. This is an example of _________________. Abductive reasoning Deductive reasoning Inductive reasoning Subductive reasoning

Deductive reasoning

When creating an overview visualization of a large dataset, it is most important to: 1 / 1 point Display only an important subset of the datapoints so as to not overwhelm the user Pack as many details as possible into the display to be as efficient and informative as possible Display all of the data using a simple representation and axes that spread the data out as much as possible Use many different colors to make it appealing to draw the viewer in to investigate further

Display all of the data using a simple representation and axes that spread the data out as much as possible

Question 5 When visualizing data, you should keep your eyes focused on one point for the entire duration of the visualization. True, because your visual system will better detect any changes to datapoints during the visualization. False, because your visual system will play tricks on your perception of the data.

False, because your visual system will play tricks on your perception of the data.

Question 6 Which of these best characterizes what principal component analysis (PCA) is used for? 1 / 1 point To find in which dimension of a high dimensional dataset the data varies the most To find low dimensional structure in a high dimensional dataset To increase the dimensionality of a low dimension dataset to reveal hidden structure To find the best way to run an elementary school

To find low dimensional structure in a high dimensional dataset

Practice Cross Product and Nest Operation

What would be the result of the cross product operation [Country Name] x [Year]?

Question 3 Suppose you know you have decimal number data that ranges in value from 0 to 10. If you separate the range into five equal bins, what histogram would result from the data: 1.1, 1.2, 2.1, 2.2, 2.3, 3.1, 6.1, 8.1, 8.2? 2, 4, 0, 1, 2 2, 3, 1, 1, 2 2, 3, 1, 3, 0 2, 3, 1, 0, 3

2, 4, 0, 1, 2

How could zooming be considered filtering? 1 / 1 point Zooming is not in any way filtering. Zooming is a filter on the range of values of the row and column fields of a scatterplot. Zooming a scatterplot happens when you drag a new field to the filter shelf and select a strict subset of the field's values. Zooming a scatterplot happens when you drag a new field to the size shelf.

Zooming is a filter on the range of values of the row and column fields of a scatterplot.

Question 6 On which of these colors does the human eye have the most difficulty focusing? Yellow Green Blue Red

Blue

Question 7 Which one of the 3-D depth cues below is the strongest? Occlusion Shadowing Lighting Stereopsis

Occlusion

Question 10 Which one of the following is NOT an element of vector graphics? Strokes Vertices Fills Pixels

Pixels

Question 5 Which of these is the best example of providing details on demand for the purpose of information visualization? 1 / 1 point Interviewing the intended dashboard user to determine which information is important to display. Placing the mouse pointer over a datapoint brings up a popup window with more information about the datapoint. Clicking on a datapoint to remove it from the chart to make room for a label. Progressively adding more detail to an overview visualization at the rate of one item every 10 seconds.

Placing the mouse pointer over a datapoint brings up a popup window with more information about the datapoint.

What is crossfiltering? 1 / 1 point Filtering one field but observing the effects in a second correlated field. The same filter is used for multiple charts. Filtering the cross product of two fields. A selection region created by dragging the mouse diagonally in the shape of a "red cross" thickened plus sign instead of the usual triangle, designed to capture more datapoints along the field axes and less along the diagonals where the fields depend more on each other.

The same filter is used for multiple charts.

How many items can human working memory (short-term memory) typically hold? 3-7 items 30-70 items 300-700 items 3,000-7,000 items

3-7 items

Which of these is the least important criterion when visually ordering the elements of a chart. 1 / 1 point Displaying plotted measure values in order from smaller to larger understand their extremes. Clustering data based on similarity of one or more fields. Displaying field values in database record order to facilitate interactivity through more rapid access times. Listing ordinal field values in order to make them easier to find in a list.

Displaying field values in database record order to facilitate

Question 8 Which one of the 3-D depth cues below indicates surface orientation? Shadowing Illumination Stereopsis Occlusion

Illumination

Question 1 In the Data Visualization Framework, what does the Mapping Layer do? It maps user interaction into chart actions. It associates geometry with data. It ensures the data is in the proper format for visualization. It is the geographical map layer underneath a layer containing a chart of locations.

It associates geometry with data.

Question 4 You're given two circles of the same size. The left one is surrounded by smaller circles and the right one is surrounded by larger circles. Which circle appears larger? The left one. The right one. Neither.

The left one

Question 2 Which of the following is a measure, as opposed to a dimension, in the WDI database? country code indicator code year population

population

Question 3 Which of these is the best choice to visualize the sale of a shirt according to its shirt size? 1 / 1 point A scatter plot A bar chart A pie chart A line chart

A bar chart

Question 3 A light gray box drawn on top of a dark gray background will make the light gray box appear ______________. The same as it appears on a white background Darker Brighter

Brighter

Question 7 Which of these is the least important criterion when visually ordering the elements of a chart. 1 / 1 point Clustering data based on similarity of one or more fields. Displaying plotted measure values in order from smaller to larger understand their extremes. Displaying field values in database record order to facilitate interactivity through more rapid access times. Listing ordinal field values in order to make them easier to find in a list.

Displaying field values in database record order to facilitate interactivity through more rapid access times.

Question 10 Which one of the following is NOT an important part of the "process and provenance" of interactive dynamics of visualization as outlined by Heer and Shneiderman when documenting your visualization? 1 / 1 point Sharing a visualization online so others can see. Guiding someone else through a visualization story. Indicating how to change the view e.g. from one chart type to another. Recording previous charts the user has tried.

Indicating how to change the view e.g. from one chart type to another.

What does "brushing" mean in a dashboard visualization? 1 / 1 point Manipulating a filter in one chart to see its effect in other charts. Selecting data points by sweeping a large circular cursor over them. User selection of colors for chart elements to make them more semantically meaningful. Filtering every other data item from view.

Manipulating a filter in one chart to see its effect in other charts.

Question 4 Which one of these Tableau functions is not an aggregation of a measure that projects the values of the measure along one or more dimensions into a single value? The attribute function ATTR() The sum function SUM() The minimum function MIN() The function COUNT() that counts the number of values of a measure

The attribute function ATTR()

Question 2 Which of these choices is the most perceptually accurate way to map a quantitative value? 1 / 1 point The volume of a box in a 3-D bar chart The gray level of a bar in a bar chart The area of a bar in a bar chart The length of a bar in a bar chart

The length of a bar in a bar chart

Question 8 Which best characterizes the betweenness centrality of a node? 1 / 1 point The inverse of the distance to the farthest node The portion of all the shortest paths between any two nodes that pass through the node The number of nodes connected to a node by some path The total distance to all other nodes

The portion of all the shortest paths between any two nodes that pass through the node

Which of these best characterizes what multidimensional scaling (MDS) is used for? 1 / 1 point To layout nodes in a complete graph (every node connected to every other node by an edge) according to desired edge lengths To find the directions in a high dimensional dataset where the data varies the most To find the shortest route among available flight connections from one airport to another To layout nodes in a planar graph so that the edges do not cross

To layout nodes in a complete graph (every node connected to every other node by an edge) according to desired edge lengths

In what order does a data visualization graphics pipeline process information? Pixel processing, then rasterization, then vertex processing Rasterization, then pixel processing, then vertex processing Vertex processing, then pixel processing, then rasterization Vertex processing, then rasterization, then pixel processing Pixel processing, then vertex processing, then rasterization Rasterization, then vertex processing, then pixel processing

Vertex processing, then rasterization, then pixel processing

Question 1 If you have a table with five fields and ten records, and you pivot three of the fields, how many records does the resulting table have? 7 Records 10 Records 13 Records 30 Records

30 Records

Which of the following would effectively visualize these four fields: Year, Country Name, Region, Population? A table of bar charts. A scatterplot of tables A table of tables A table of scatterplots

A table of bar charts.

Which of the following field dragging operations would VizQL infer should result in a scatterplot? Dragging population to the rows and per-capita income to the columns Dragging per-capita income to the rows and year to the columns. Dragging year to the rows and country to the columns. Dragging country to the rows and population to the columns.

Dragging population to the rows and per-capita income to the columns

Question 8 What is the primary goal of the layout of a visualization dashboard 1 / 1 point To minimize the mouse interaction distance between common user input options, such as selection, menus and buttons. Aesthetics, to make the viewer become more engaged with the dashboard and its underlying data. To visually organize the charts so the viewer can better find and understand the data. Size, to ensure that the charts use every bit of space available to maximize the visual information conveyed by the dashboard

To visually organize the charts so the viewer can better find and understand the data.

Question 4 Why is filtering, which removes information from the display, an important part of the information visualization process? 1 / 1 point A chart can sometimes contain too many visual elements that can be overwhelming, obscuring and distracting. Filtering removes data points which makes the visualization render faster. Removing information from a chart does not make the chart more effective. Filtering reduces the number of records processed which makes the visualization respond faster.

A chart can sometimes contain too many visual elements that can be overwhelming, obscuring and distracting.

Question 9 Which of these best demonstrates a cartogram? 1 / 1 point A geographical map where the size of countries is proportional to their population. A visualization where the names of the counties are scaled by their population and packed in an arbitrary order A geographical map where the color of countries is assigned according to their population A visualization of the population of countries is visualized as the area of disks, which are packed in an arbitrary order

A geographical map where the size of countries is proportional to their population.

Question 3 What is the main advantage to data visualization by using a lens for zooming? 1 / 1 point A lens provides easy access to changing the magnification of the zoom. A lens separates nearby data items to help resolve detail while retaining the spatial context of the whole dataset. The lens zooms only a portion of the display which is faster than zooming the entire display. The lens zooms only a portion of the data which is faster that zooming all of the data.

A lens separates nearby data items to help resolve detail while retaining the spatial context of the whole dataset.

Question 6 Which clause of an SQL query corresponds to fields dragged onto Tableau's filter shelf? The "Where" clause. The "From" clause. The "Order" clause. No clause, and the fields would follow the "Select" statement as the fields that should be queried so they can be filtered from the result.

The "Where" clause.

Question 5 In which one situation below would be the most appropriate to treat the date data as a category variable instead of a quantitative continuous variable. 1 / 1 point Sales on January 1st of each year in order from 2000 to 2020. Sales at randomly chosen dates throughout the year, in date order. Total sales for the decade in order of decade. Total annual sales for the year in order of best year to worst year.

Total annual sales for the year in order of best year to worst year.

Question 5 Recall that we had a Tableau table of regions that displayed the calculated field [Regional Total] which was defined as "{Include [Year] : SUM([Value])}." The dimension [Year] was filtered to include only years from a particular decade. Thus the AVG([Regional Total]) reported the average over a decade of years of the regional total of the value. What would be reported by MAX( {Include [Country] : AVG([Value]) } )? The values would be averaged over the decade for each country in the world, and the country's value that is the largest would be returned. The values would be averaged over all countries in the region for each year, and the largest year's value would be returned. The values would be averaged over a decade for each country in the region, and the country's decade-average value that is the largest would be returned. The values would be averaged for each year for each country in the region, and the value for the country in a year that is the largest would be returned.

The values would be averaged over a decade for each country in the region, and the country's decade-average value that is the largest would be returned.