CIS 310 - All Quiz Questions
In storytelling with data, the author quotes a rule of thumb from Universal Principles of Design (Lidwell, Holden, and Butler, 2003) for the maximum proportion of a visual design which should be highlighted. What is it? 20% 10% 5% 1%
10%
In storytelling with data, the author quotes a guideline from Universal Principles of Design (Lidwell, Holden, and Butler, 2003) that suggests an order of preference for the use of underlining, italics, and Bold based on how effectively they highlight text and how much noise they introduce. Which of the following is the correct order of preference for these three approaches (1st = most preferred)? 1st - italics 2nd - underlining 3rd - Bold 1st - Bold 2nd - italics 3rd - underlining 1st - Bold 2nd - underlining 3rd - italics 1st - underlining 2nd - italics 3rd - Bold
1st - Bold 2nd - italics 3rd - underlining
In storytelling with data, according to the author roughly what percentage of people are color blind? -0.1% of men, 20% percent of women -80% of men. 20% of women -4% of men, 80% of women -8% of men, 0.5% of women
8% of men, 0.5% of women
In storytelling with data, the author suggests that we should create data visualizations that work within the way your audience takes in information. Which of the following is the best example of this? in other words, which of the following would feel the most natural to them? -A horizontal bar chart with the y axis on the right -A horizontal spectrum that runs from positive on the left to negative on the right -A vertical bar chart with the title on the top left -A flow chart that starts on the bottom right
A vertical bar chart with the title on the top left
In storytelling with data, the author suggests that the old adage "form follows function" has clear application to communicating with data. According to the author, which part of our effort to communicate with data is form? -The data we choose to work with. -What we want our audience to be able to do with the data. -A visualization that allows the audience to do what we want them to do with the data. -The application of an aesthetic after we've addressed the functional requirements.
A visualization that allows the audience to do what we want them to do with the data.
In storytelling with data, some charts show examples of super-categories. Which one is a good example of super-categories in the charts of chapter six? Unmet Need is a super-category of Directors in Visual #4. Actual and Forecast are super-categories of Years in Visual #2. Quarters are super-categories of Years in Visual #3. Goal is a super-category of Progress in Visual #1.
Actual and Forecast are super-categories of Years in Visual #2.
In storytelling with data, the author suggests using a secondary y-axis is generally a bad idea because it makes your chart difficult to interpret. Which of the following is NOT one of the potential alternatives she mentions? -Don't show second axis, instead label individual data points directly. -Add a second set of numbers points to the primary y-axis. -Pull the graphs apart vertically and give each their own y-axis on the left side. -Link the axis to the data to be read against through the use of color.
Add a second set of numbers points to the primary y-axis.
In storytelling with data, according to the author when do we experience cognitive load? -Anytime information is excessive or extraneous -All of these answers are correct -When our mental processing is engaged -Anytime we take in information
All of these answers are correct
In storytelling with data, why does the author like to use the color grey? -All of these answers are correct. -It doesn't stand out as much as black, allowing black to be used as a standout color. -It provides good opportunities for strong contrast with other colors. -It stands out from the white background.
All of these answers are correct.
In storytelling with data, which of the following is NOT advice the author gives about the logical ordering of categories? -Consider using an order that puts what's most important on the top left -Alphabetical order is often the best. -If a natural order exists, use it. -Be thoughtful about the order; a better order makes it easier for audiences to interpret.
Alphabetical order is often the best.
In storytelling with data, how does the author define affordances? -The boundaries of design that must be adhered to. -What a design or product is capable of given the characteristics inherent in the design. -Aspects inherent to the design that make it obvious how the product is to be used. -What one is allowed to do when creating a design.
Aspects inherent to the design that make it obvious how the product is to be used.
In storytelling with data, which of the following is the LEAST likely to be considered a reasonable attempt to leverage a preattentive attribute? -Enlarging the graph's title. -Enclosing a subset of the data. -Setting the color of a plot point to match the color of an explanatory sentence. -Changing all of the graph's text to red.
Changing all of the graph's text to red.
In storytelling with data, award-winning writer/director Robert McKee argues that there are two ways to persuade people. What are they? Group of answer choicesStory and epicConventional rhetoric and storyAnecdote and storyReason and emotion
Conventional rhetoric and story
In storytelling with data, how does the author suggest you can address the problem of having so many categories of data that it is difficult for your audience to interpret it in a visual Break the visual up into multiple smaller visuals, each showing a few categories. Create a few super-categories (aka supersets) of those categories that you can display instead. Pick a token subset of the categories to display. There's no good solution for this problem; you just have to show them all.
Create a few super-categories (aka supersets) of those categories that you can display instead
In storytelling with data, how does the author suggest you can address the problem of having so many categories of data that it is difficult for your audience to interpret it in a visual? -Create a few super-categories (aka supersets) of those categories that you can display instead. -Break the visual up into multiple smaller visuals, each showing a few categories. -There's no good solution for this problem; you just have to show them all. -Pick a token subset of the categories to display.
Create a few super-categories (aka supersets) of those categories that you can display instead.
In storytelling with data, which of the following is NOT one of the author's suggestions for illustrating a table? -Numbers should stand out. -Design should be prominent; consider dark borders. -Borders should improve legibility. -Minimize borders/ structural elements.
Design should be prominent; consider dark borders.
In storytelling with data, according to the author who is at fault when people can't understand a data visualization? -It is not useful to assign blame in these situations; not everyone will understand a visual. -Designers; it is their responsibility to make the visual easy to understand. -The audience; it is their responsibility to come adequately prepared to understand. -Both the designer and the audience; they have shared responsibility in both correctly designing and interpreting the visual.
Designers; it is their responsibility to make the visual easy to understand.
In storytelling with data, according to the author the concept of accessibility says that: -Designs should be accessible through various mediums. -Designs should be accessible by people of varying means. -Designs should be usable by people of diverse backgrounds. -Designs should be usable by people of diverse abilities.
Designs should be usable by people of diverse abilities.
In storytelling with data, the author claims nirvana in communicating with data is reached when __________________ are combined with __________________. Effective visuals; a powerful narrativeA well-crafted message; an engaged audienceA rich data set; someone skilled at data visualizationA great speaker; a great story
Effective visuals; a powerful narrative
In storytelling with data, the author suggests that there are three types of memory that are important to understand as we design visual communications. Which of the following is NOT one of them? -Iconic memory -Long-term memory -Short-term memory -Eidetic memory
Eidetic memory
In storytelling with data, according to the author, one possible limitation of slopegraphs is that if too many lines overlap it may become difficult to interpret. How does the author suggest we might mitigate this? -Consider using a different type of graph. -Emphasize one line or result at a time (e.g. by making other elements light grey). -Add additional language to explain what to focus on. -Only show the one line of interest; remove the rest.
Emphasize one line or result at a time (e.g. by making other elements light grey).
In storytelling with data, when considering "what" when establishing the context of an explanatory analysis, what of the following is NOT a suggestion for what you can do if it really isn't appropriate to recommend an action explicitly? -Encourage a discussion towards choosing an action -Suggest possible next steps following the discussion -Give your audience something to react to rather than leave them with a blank slate -Encourage the audience to delay decision making until they can deliberate further
Encourage the audience to delay decision making until they can deliberate further
In storytelling with data, according to the author, which of the following would be the LEAST adequate paraphrasing of one of the story acts in terms of a data visualization-based presentation Engage the audience in a dialogue about who the characters are, their motivations, and their choices Make a call to action, where it is totally clear what you want them to do or know Address how the audience can solve the problem you introduced, and why they should accept your solution; leverage their motivations Setup the essential elements of the story, e.g. setting, main characters, imbalance occurring, balance desired, how to get there
Engage the audience in a dialogue about who the characters are, their motivations, and their choices
In storytelling with data, the author says she will teach the reader how to tell stories in six lessons. Which of the following is NOT one of the lessons she lists? -Eliminate the clutter -Evaluate the data -Think like a designer -Choose an appropriate visual display -Understand the context -Tell a story -Focus attention where you want it
Evaluate the data
In storytelling with data, the author says she will teach the reader how to tell stories in six lessons. Which of the following is NOT one of the lessons she lists? -Understand the context -Think like a designer -Choose an appropriate visual display -Eliminate the clutter -Tell a story -Evaluate the data -Focus attention where you want it
Evaluate the data
In storytelling with data, according to the author, all of the data-based visuals she created for the book were made in which tool? -PowerPoint -Tableau -Power BI -Excel
Excel
True or False: In storytelling with data, according to the author, the lessons in the book are tool specific
False
In storytelling with data, the author states that bar charts should be avoided because they are too common. False: Being common means the audience spends less time interpreting the graph and more time consider the data True: It is impossible to capture an audience's focus if the visual doesn't capture their attention.
False: Being common means the audience spends less time interpreting the graph and more time consider the data
In storytelling with data, which of the following is NOT a chart type or element the author warns you to avoid using? -3D charts -Donut charts -Pie charts -Flow charts -Secondary y-axes
Flow charts
In storytelling with data, which of the following is NOT a preattentive attribute? -Motion -Gloss -Spatial position -Intensity -Hue -Added marks -Enclosure
Gloss
In storytelling with data, in general, which of the following elements of a chart is often the least important? -Overall title -Axis labels -Variables' units -Gridlines
Gridlines
In storytelling with data, which of the following is NOT one of the ways the author describes area graphs? -Having a second dimension is always very helpful -They can be useful when you need to show numbers of vastly different magnitude -They are problematic because human eyes don't assess two-dimensional quantities well. -You should generally avoid them
Having a second dimension is always very helpful
In storytelling with data, the author argues that you should avoid the use of preattentive attributes in exploratory visualization. Why? -Highlighting one aspect can make other things harder to see -It triggers less thoughtful areas of the brain -Your time is better spent trying alternative visuals than fine-tuning existing ones -None of the other answers are correct
Highlighting one aspect can make other things harder to see
In storytelling with data, the author suggests asking a friend or colleague a series of questions to assess the quality of your visual. Which of the following is NOT one of them? -What they see? -How they feel? -What questions they have? -Where they focus? -What observations they make?
How they feel?
In storytelling with data, which of the following is NOT a criticism of infographics that the author shares? -Good examples practically don't exist (even the New York Times and National Geographic can't do it well) -A discerning audience will find Infographics shallow and unsatisfying. -Infographics is a frequently misused term -Use of elements like oversized numbers and cartoon aspects can seduce a reader with visual appeal.
Infographics is a frequently misused term
In storytelling with data, would the author most likely say your design choices should be intentional or driven by intuition? -Intentional -Driven by intuition
Intentional
In storytelling with data, according to the author, which of the following is LEAST likely to be an advantage of telling a story in chronological order? Group of answer choicesIt allows you to convey the audience's role immediatelyIt can help you establish credibility with your audienceIt is the order that comes most naturallyIt provides an overview of the process for those who are interested in it
It allows you to convey the audience's role immediately
In storytelling with data, the author describes the benefits of developing a "3-minute story" version of what you wish to communicate. Which of the following is NOT one of her suggested benefits? -It allows you to leverage the types of marketing principles typically used in commercials. -It prepares you in case your meeting time is unexpectedly shortened. -It prepares you for situations when you must provide a quick recap to a boss or other stakeholder. -It ensures you are clear on and can articulate the story you want to tell -It removes you from dependence on slides or visuals for a presentation
It allows you to leverage the types of marketing principles typically used in commercials.
In storytelling with data, which of the following is NOT a way the author describes horizontal bar charts? -If one bar chart is to be chosen, this would be it -It's extremely easy to read -It's a great solution if category names are too long -It allows you to see the actual data BEFORE you see the categories.
It allows you to see the actual data BEFORE you see the categories.
In storytelling with data, when talking about stories the author discusses a three-act structure. Which of the following is NOT a way the author describes the 2nd Act? Group of answer choicesIt depicts the main character's attempt to resolve the problem setup in the first actIt makes up the bulk of the storyIt often includes a character arcIt can be optional for very short stories
It can be optional for very short stories
In storytelling with data, which of the following is NOT a way the author describes iconic memory? -It happens without you consciously realizing it -It holds information for a fraction of a second before it gets downloaded to short-term memory -It includes the ability to pick up differences in our environment -It can hold about four chunks of visual information at a time -It's super fast
It can hold about four chunks of visual information at a time
In storytelling with data, when talking about stories, the author discusses a three-act structure. Why? Group of answer choicesMany sets of data or visuals can be broken into three components (the rule of threes)The development of the structure is a lesson in how to model solutionsAs a way of explaining the layout of the bookIt can serve as a model to us when it comes to communicating in general
It can serve as a model to us when it comes to communicating in general
In storytelling with data, the author notes that Blaise Pascal famously wrote the French equivalent of the phrase "I would have written a shorter letter, but I did not have the time." In the context of the chapter reading, what is the significance of this quote? -It is often more difficult to be concise than to be verbose. -It is challenging to express oneself in a written document. -As a mathematician, Blaise Pascal wrestled with effective communication. -As a mathematician, Blaise Pascal understood the value of giving a live presentation.
It is often more difficult to be concise than to be verbose.
In storytelling with data, according to the author, which of the following is LEAST likely to be an advantage of telling a story by leading with the ending? Leveraging existing trust with the audienceIt tells the audience why they should keep listeningIt is the most natural order of storytellingIt tells the audience immediately what role they are meant to play
It is the most natural order of storytelling
In storytelling with data, the author identifies three criteria for creating a "Big Idea version of what you wish to communicate. Which of the following is NOT one of those criteria? -It must be memorable. -It must be a complete sentence. -It must convey what's at stake. -It must articulate your unique point of view.
It must be memorable.
In storytelling with data, when talking about stories the author discusses a three-act structure. Which of the following is NOT a way the author describes the 3rd Act? Group of answer choicesIt includes a climax where the tensions of the story reach the highest point of intensityIt sets up future stories or sequelsIt resolves the story and its subplotsThe dramatic question introduced in the first act is answered
It sets up future stories or sequels
In storytelling with data, the author recalls her junior high English teacher introducing the idea of Bing, Bang, Bongo to her. What is the significance of Bing, Bang, Bongo to storytelling? Group of answer choicesIt shows how a surprise deviation, in this case Bongo instead of Bong, makes a phrase more memorableIt suggests a story format in which you tell them what you are going to tell them, then tell them, then tell them what you told them.It suggests that repeating or iterating on an idea three times is a good rule of thumbIt is the name of the original story Red Riding Hood is based on
It suggests a story format in which you tell them what you are going to tell them, then tell them, then tell them what you told them.
In storytelling with data, which of the following is NOT one of the "minimal guidelines" the author suggests for preserving white space? -Resist the urge to stretch visuals to take up the available space -Margins should remain free of text and visuals -Justify why you've preserved it -Appropriately size your visuals to their content
Justify why you've preserved it
In storytelling with data, the author notes that we frequently leverage Connection in _____________ to help our eyes see order in the data. -Heat maps -Line graphs -Bar charts -Tables
Line graphs
In storytelling with data, which of the following is NOT something the author says about diagonal elements such as lines and text? -They look messy -Lines are an exception -A research study suggests that rotating text slows reading substantially -The should be avoided -In the case of text, they make it harder to read than their horizontal counterparts
Lines are an exception
In storytelling with data, the author suggests that two methods of communication effectively define the endpoints of a spectrum of communication methods (aka the mechanism). What are they? -High impact and low impact -One-on-one and one-to-many -Live presentation and written document or email -Synchronous and asynchronous
Live presentation and written document or email
In storytelling with data, the author notes that a number of her workshop attendees have met resistance when trying to evolve how data is visualized in their company. With that in mind, she suggests a number of strategies for gaining acceptance in the design of your data visualization. Which of the following is NOT one of them? -Articulate the benefits of the new or different approach. -Get a vocal member of your audience on board. -Show the side-by-side. -Provide multiple options and seek input. -Make changes slowly so that audience members aren't spooked
Make changes slowly so that audience members aren't spooked
In storytelling with data, according to the author does it make sense to change up the colors or graph types so the audience doesn't get bored? No Yes
No
In storytelling with data, how does the author describe Enclosure? -Objects that are physically enclosed together are perceived as belonging to part of a group -How we reveal information -Objects that are physically enclosed together are perceived as being subordinate to the enclosure -Enclosed objects are diminished
Objects that are physically enclosed together are perceived as belonging to part of a group
In storytelling with data, the author explains that white space can be compared to? -An unanswered question -Pauses in public speaking -Static noise coming from a radio that isn't tuned to a station -The background noise of many conversations going on at once
Pauses in public speaking
In storytelling with data, what metaphor is used to describe "what might be noteworthy or interesting to highlight to others", and why? -Gold, because just as you may have to discard a lot of data before you find a result miners would often get rid of lots of earth to find gold. -Pearls, because just as useful results are often difficult to attain, oysters are often found in hard to reach places. -Gold, because just as you may make mistakes in your analysis, miners used to be fooled into thinking they were rich when they found pyrite (a shiny yellow mineral consisting of iron disulfide known as fool's gold). -Pearls, because just as you may have to look at the data in 100 ways before you find something worth sharing, you may have to open 100 oysters before you find a pearl.
Pearls, because just as you may have to look at the data in 100 ways before you find something worth sharing, you may have to open 100 oysters before you find a pearl.
In storytelling with data, which of the following would the author argue is, in her experience, often the primary form of communicating analytical results, findings, and recommendations at many companies? One-on-one discussion Presentation deck Informal conversation Written report
Presentation deck
In storytelling with data, according to the author, which of the following would be the BEST definition of the Gestalt Principles of Visual Perception. -A German theory of perception -A description of the functions of the visual organs used by living things -Principles for recognizing the organized whole from the sum of its parts -Principles that define how people interact with and create order out of visual stimuli
Principles that define how people interact with and create order out of visual stimuli
In storytelling with data, the author suggests you check out a number of sites and applications, such asVischeck (vischeck.com), Color Oracle (colororacle.org), and CheckMyColours (checkmycolours.com). What do these do? -See where preattentive attributes are present and where they direct focus -See if your color palette choice is aesthetically pleasing -See what your visual looks like through colorblind eyes -Get ratings on your visualizations by experts
See what your visual looks like through colorblind eyes
In storytelling with data, which of the following is NOT one of the four tactics the author suggests can help ensure your story is clear in your presentation? Group of answer choicesA fresh perspectiveHorizontal logicSequential logicReverse storyboardingVertical logic
Sequential logic
In storytelling with data, the author discusses how Aristotle proposed a structure for plays. What are the concepts of his proposed structure for plays commonly referred to as? Group of answer choicesIntroduction, arc, and closureSetup, conflict, and resolutionInitial state, change, final stateBeginning, middle, and end
Setup, conflict, and resolution
In storytelling with data, according to the author, which of the following would reflect a better visual hierarchy for a data visualization? Start with the axes Check out the plot Then look at the title Start with the plot Check out the axes Then look at the title Start with the title Check out the axes Then look at the plot Start with the axes Check out the title Then look at the plot
Start with the title Check out the axes Then look at the plot
In storytelling with data, which of the following is NOT one of the six principles of the Gestalt Principles of Visual Perception discussed? Group of answer choicesContinuitySymmetryConnectionClosureSimilarityEnclosureProximity
Symmetry
In storytelling with data, the author suggests four specific considerations to help one identify potential distractions. Which of the following is NOT one of them Not all data are equally important. Take note of whether your audience looks more at the visualization or you. Ask yourself: would eliminating this change anything? Push necessary, but non-message-impacting items to the background. When detail isn't needed, summarize.
Take note of whether your audience looks more at the visualization or you.
In storytelling with data, the author suggests four specific considerations to help one identify potential distractions. Which of the following is NOT one of them? -Not all data are equally important. -Push necessary, but non-message-impacting items to the background. -Ask yourself: would eliminating this change anything? -When detail isn't needed, summarize. -Take note of whether your audience looks more at the visualization or you.
Take note of whether your audience looks more at the visualization or you.
In storytelling with data, the author discusses how Aristotle introduced a basic but profound idea about stories. What was the idea? -That a story has a clear beginning, middle, and end -That a story is a reflection of life -That all stories are about people -That a story must include conflict
That a story has a clear beginning, middle, and end
In storytelling with data, the author notes in an example that the "Big Idea" and the storyboard often have a particular relationship. What is it? -The "Big Idea" is a summary of the storyboard. -The "Big Idea" is always completely separate from the storyboard. -The "Big Idea" is often either an opening executive summary of / preamble to, or a summary conclusion of, the storyboard. -The "Big Idea" is often unnecessary if one plans to create a storyboard
The "Big Idea" is often either an opening executive summary of / preamble to, or a summary conclusion of, the storyboard.
In storytelling with data, the author discusses the use of preattentive attributes to establish a visual hierarchy. Which of the following best describes what a visual hierarchy is? Group of answer choicesA way of recognizing who is in charge based on how they presentThe arrangement or presentation of elements in a way that implies importanceA way of recognizing which part of a visual should be created firstThe arrangement or presentation of elements in a way that implies meaning
The arrangement or presentation of elements in a way that implies importance
In storytelling with data, when communicating with data, who does the author say the main character of the story you tell should always be? Group of answer choicesThe presenterThe audienceThe stakeholdersThe decision maker
The audience
In storytelling with data, when considering "what" when establishing the context of an explanatory analysis, what does the author suggest is a false assumption? -The audience knows better than the presenter and therefore should be left to choose whether and how to act on the information presented -You should always want our audience to know or do something -If you are the one analyzing and communicating the data, you likely know it best -Even if you highlight and recommend something conversation focused on action wrong, it prompts the right sort of conversation focused on action -If you can't concisely articulate something for the audience to know or do, you should revisit whether you need to communicate
The audience knows better than the presenter and therefore should be left to choose whether and how to act on the information presented
In storytelling with data, the author discusses how after a story's setup, the protagonist is confronted with an incident, and his or her reaction to that incident leads to a more dramatic situation. What is the transition to a more dramatic situation called? Group of answer choicesDramatic elevationThe first changeStagingThe first turning point
The first turning point
In storytelling with data, the author quotes Colin Ware in saying it's easy to spot a hawk in a sky full of pigeons, but as the variety of birds increases, that hawk becomes harder and harder to pick out. What meaning is she attempting to convey in sharing this phrase he more things we make different, the lesser the degree to which any of them stand out Dense illustrations can hide flaws and limitations Even a strong visual can become overwhelmed by too much detail Birds of a feather flock together
The more things we make different, the lesser the degree to which any of them stand out
In storytelling with data, according to the author, which of the following would be the best description of what 1 and 2 (below) have in common? 1) Our ability to remember the story of Red Riding Hood 2) The effectiveness of building a presentation where you introduce what you're going to talk about, talk about it, and then conclude by reviewing what you talked about -They are both examples of story techniques for unsophisticated audiences -They are both examples of universal standards, one for fairy tales and the other for presentations -They are both examples of very effective short story technique -They are both examples of the power of repetition
They are both examples of the power of repetition
In storytelling with data, according to the author which of the following is NOT a benefit of more aesthetic designs? -They are perceived as easier to use. -They are more readily accepted and used over time. -They foster more positive relationships, making people more tolerant of problems with designs. -They promote creative thinking and problem solving. -They are more influential.
They are more influential.
In storytelling with data, when discussing heat maps the author suggests there are advantages to using visual cues. Which of the following is NOT one of the suggested advantages? -They help the brain/eves more quickly find points of interest -They reduce mental processing -They direct our attention. -They increase the amount of information that can be displayed.
They increase the amount of information that can be displayed.
True or False: In storytelling with data, according to the author, bad graphs are created in every company throughout all industries by all types of people
True
True or False: In storytelling with data, the author asserts that relative size denotes relative importance
True
True or False: In storytelling with data, the author claims that people tend to associate quantitative values with some (but not all) of the preattentive attributes.
True
True or False: In storytelling with data, the author says that another name for vertical bar chart is column chart.
True
True or False: In storytelling with data, the author would argue that conflict and tension are an integral part of a story.
True
According to storytelling with data, which of the following is the best definition of exploratory analysis? -what you do to determine the best audience for your analysis -what you do to communicate your analysis to your audience after you have identified the specific thing you want to share -what you do to acquire the data that is most applicable to the context under consideration -what you do to understand the data and figure out -what might be noteworthy or interesting to highlight to others
UNKNOWN
In storytelling with data, how does the author say the audience interprets bar charts? -They consider the volume shown and estimate the proportions. -All of the other answers are correct. -They avoid considering the shapes and search for numbers or text. -They compare the endpoints to determine which is bigger, which is smaller, and what the gap is.
UNKNOWN
In storytelling with data, the author suggests using a secondary y-axis is generally a bad idea because it makes your chart difficult to interpret. Which of the following is NOT one of the potential alternatives she mentions? -Link the axis to the data to be read against through the use of color. -Add a second set of numbers points to the primary y-axis. -Don't show second axis, instead label individual data points directly. -Pull the graphs apart vertically and give each their own y-axis on the left side
UNKNOWN
In storytelling with data, which of the following is NOT true about signal-to-noise ratio as applied to creating effective data-based visuals? -The signal is the information we want to communicate -The noise are those elements that either don't add to, or in some cases detract from, the message we are trying to impart to the audience -Low signal-to-noise ratio enhances the aesthetic (visual appeal) of the visual -This is something to maximize
UNKNOWN
In storytelling with data, which of the following is NOT a tip the author suggests to keep your visuals and communications from appearing overly complicated? -Make it legible. -Remove unnecessary complexity. -Keep it clean. -Use straightforward language. -Use soft colors.
Use soft colors.
In storytelling with data, the author identifies four categories of graphs. Which of the following is NOT one of them? -Lines -Points -Volume -Area -Bars
Volume
In storytelling with data, how does the author describe proximity? -We tend to compare objects that are close together -We tend to think of objects that are close together as being part of a group -We prefer objects to be close together -We prefer objects to be sufficiently distant from each other
We tend to think of objects that are close together as being part of a group
In storytelling with data, the author suggests that the old adage "form follows function" has clear application to communicating with data. According to the author, which part of our effort to communicate with data is function? -What we want our audience to be able to do with the data. -The mathematical method we choose to work with. -The application of an aesthetic after we've addressed the functional requirements. -A visualization that allows the audience to do what we want them to do with the data.
What we want our audience to be able to do with the data.
In storytelling with data, how does the author describe Continuity? -When looking at objects, people believe they had a consistent past -People require that the past, present, and future be consistent -When looking at objects, people expect there to be a future value beyond what is shown -When looking at objects, our eyes seek the smoothest path and naturally create continuity in what we see
When looking at objects, our eyes seek the smoothest path and naturally create continuity in what we see
In storytelling with data, according to the author when can you decrease the granularity of axis labels (e.g. when might you switch from an x-axis of "0 1 2 3 4 5 6 7 8 9 10 ..." to "0 5 10 ...")? -When you are more interested in the general trend than the individual data points. -There is almost never a time when you need to show every axis data label. -You should drive for a high level of granularity in your axis data labels to empower interpretation. -When you want to discourage your audience from considering individual data point.
When you are more interested in the general trend than the individual data points.
In storytelling with data, according to the author, can you combine preattentive attributes in a single chart element? -No -Yes
Yes
In storytelling with data, according to the author, when it comes to communicating with data, is it really necessary to "make it pretty?' -Yes -No
Yes
In storytelling with data, the author says that if you picture a blank page or a blank screen, every single element you add to that page or screen takes up _____________ on the part of your _____________ -processing power; system -a mission; audience -cognitive load; audience -resources; software
cognitive load; audience
In storytelling with data, according to the author, when it comes to our visual communications, what matters the most is: -the geometric cognitive load -the actual cognitive load -the perceived cognitive load -the proposed cognitive load
the perceived cognitive load
In storytelling with data, the author suggests that in an ideal world the work product you create for a live presentation and a written document would be ... -created by different people - some analysts are more talented at presenting, and some are more talented at writing -completely the same - a well-constructed document can successfully meet the needs of a live presentation and an email -built from each other - you should always create a fully explicit written document first, then you can build a presentation if necessary -totally different - sparse slides for a live presentation, denser documentation when the audience is left to consume it on their own
totally different - sparse slides for a live presentation, denser documentation when the audience is left to consume it on their own
In storytelling with data, the author suggests that in an ideal world the work product you create for a live presentation and a written document would be -totally different - sparse slides for a live presentation, denser documentation when the audience is left to consume it on their own -created by different people - some analysts are more talented at presenting, and some are more talented at writing -completely the same - a well-constructed document can successfully meet the needs of a live presentation and an email -built from each other - you should always create a fully
totally different - sparse slides for a live presentation, denser documentation when the audience is left to consume it on their own
In storytelling with data, according to the author, success in data visualization starts with -establishing a palette -creating a data visualization that is broadly accessible -statistical rigor -understanding the context for the need to communicate
understanding the context for the need to communicate
In storytelling with data, the author states that tables interact with your .. -cognitive system -visual system -auxiliary system -verbal system
verbal system
According to storytelling with data, which of the following is the best definition of explanatory analysis? -what you do to communicate your analysis to your audience after you have identified the specific thing you want to share -what you do to understand the data and figure out what might be noteworthy or interesting to highlight to others -what you do to determine the best audience for your analysis -what you do to acquire the data that is most applicable to the context under consideration
what you do to communicate your analysis to your audience after you have identified the specific thing you want to share
In storytelling with data, the author suggests that the width of the bars in a bar chart should be -customized to what is being measured -wider than the space between the bars, but not so wide that the audience wants to compare their areas rather than height. -narrower than the space between the bars; this allows you to better add highlighting to a bar of interest. -about the same width as the space between the bars.
wider than the space between the bars, but not so wide that the audience wants to compare their areas rather than height.
