Course 6: Share Data Through the Art of Visualization, all weekly challenge quiz answers of this course are provided in this article from week 1 to week 4 to help students solving this exam.
Share Data Through the Art of Visualization Weekly Challenge 1 Answers
Q1. A data analyst wants to create a visualization that
demonstrates how often data values fall into certain ranges. What type of data
visualization should they use?
- Scatter
plot
- Histogram
- Correlation
chart
- Line
graph
Q2. A data analyst notices that two variables in their data
seem to rise and fall at the same time. They recognize that these variables are
related somehow. What is this an example of?
- Causation
- Tabulation
- Visualization
- Correlation
Q3. Fill in the blank: A data analyst creates a presentation
for stakeholders. They include _____ visualizations because they want them to
be interactive and automatically change over time.
- geometric
- aesthetic
- dynamic
- static
Q4. What are the key elements of effective visualizations
you should focus on when creating data visualizations? Select all that apply.
- Sophisticated
use of contrast
- Refined
execution
- Visual
form
- Clear
meaning
Q5. Fill in the blank: Design thinking is a process used to
solve problems in a _____ way.
- critical
- design-centric
- analytical
- user-centric
Q6. You are in the ideate phase of the design process. What
are you doing at this stage?
- Generating
visualization ideas
- Sharing
data visualizations with a test audience
- Making
changes to their data visualization
- Creating
data visualizations
Q7. A data analyst wants to make their visualizations more
accessible by adding text explanations directly on the visualization. What is
this called?
- Labeling
- Subtitling
- Simplifying
- Distinguishing
Q8. Distinguishing elements of your data visualizations
makes the content easier to see. This can help make them more accessible for
audience members with visual impairments. What are some methods data analysts
use to distinguish elements?
- Add
a legend
- Ensure
all elements are highlighted equally
- Separate
the foreground and background
- Use
contrasting colors and shapes
Share Data Through the Art of Visualization Weekly Challenge 2
Q1. Fill in the blank: When using Tableau, people can
control what data they see in a visualization. This is an example of Tableau
being _____.
- interpretive
- interactive
- indefinable
- inanimate
Q2. A data analyst is using the Color tool in Tableau to
apply a color scheme to a data visualization. They want the visualization to be
accessible for people with color vision deficiencies, so they use a color
scheme with lots of contrast. What does it mean to have contrast?
- The
color scheme uses a range of different colors
- The
color scheme is graphically pleasing
- The
color scheme is monotone
- The
color scheme is uniform
Q3. What could a data analyst do with the Lasso tool in
Tableau?
- Select
a data point
- Zoom
in on a data point
- Move
a data point
- Pan
across data points
Q4. A data analyst is using the Pan tool in Tableau. What
are they doing?
- Moving
a data point to another location in the visualization
- Rotating
the perspective while keeping a certain object in view
- Deselecting
a data point from within the visualization
- Taking
a screenshot of the visualization
Q5. You are working with the World Happiness data in
Tableau. To display the population of each country on the map, which Marks
shelf tool do you use?
- Tooltip
- Detail
- Size
- Label
Q6. When working with the World Happiness data in Tableau,
what could you use the Filter tool to do?
- Show
only countries with a World Happiness score of 3.5 or lower
- Permanently
delete countries without a happiness score
- Reformat
every country in Asia
- Zoom
out to reveal the entire world
Q7. By default, all visualizations you create using Tableau
Public are available to other users. What icon to you click to hide a
visualization?
- Eye
- Show/Hide
- Close
- Source
Q8. Fill in the blank: In Tableau, a _____ palette displays
two ranges of values. It uses a color to show the range where a data point is
from and color intensity to show its magnitude.
- diverging
- overlaying
- inverting
- contrasting
Share Data Through the Art of Visualization Weekly Challenge 3 Answers
Q1. Engaging your audience, creating compelling visuals, and
using an interesting narrative are all part of what practice?
- Data
composition
- Data
design
- Data
strategy
- Data
storytelling
Q2. A data analyst wants to communicate to others about
their analysis. They ensure the communication has a beginning, a middle, and an
end. Then, they confirm that it clearly explains important insights from their
analysis. What aspect of data storytelling does this scenario describe?
- Takeaways
- Narrative
- Spotlighting
- Setting
Q3. You are preparing to communicate to an audience about an
analysis project. You consider the roles that your audience members play and
their stake in the project. What aspect of data storytelling does this scenario
describe?
- Engagement
- Theme
- Discussion
- Takeaways
Q4. When designing a dashboard, how can data analysts ensure
that charts and graphs are most effective? Select all that apply.
- Include
as many visual elements as possible
- Incorporate
all of the data points from the analysis
- Make
good use of available space
- Place
them in a balanced layout
Q5. A data analyst is creating a dashboard using Tableau. In
order to layer objects over other items, which layout should they choose?
- Tiled
- Floating
- Itemized
- Layered
Q6. Which of the following are appropriate uses for filters
in Tableau? Select all that apply.
- Highlighting
individual data points
- Providing
data to different users based on their particular needs
- Limiting
the number of rows or columns in view
- Hiding
outliers that do not support the hypothesis
Q7. A data analyst creates a dashboard in Tableau to share
with stakeholders. They want to save stakeholders time and direct them to the
most important data points. To achieve these goals, they can pre-filter the
dashboard.
- True
- False
Q8. An effective slideshow guides your audience through your
main communication points. What are some best practices to use when writing
text for a slideshow? Select all that apply.
- Choose
a font size that audience members can read easily.
- Avoid
slang terms.
- Use
numerous different text colors and styles.
- Define
unfamiliar abbreviations.
Q9. You are creating a slideshow for a client presentation.
There is a pivot table in a spreadsheet that you want to include. In order for
the pivot table to update whenever the spreadsheet source file changes, how
should you incorporate it into your slideshow? Select all that apply.
- Insert
a PDF of the pivot table
- Embed
the pivot table
- Link
the pivot table
- Copy
and paste the pivot table
Share Data Through the Art of Visualization Weekly Challenge 4 Answers
Q1. A data analyst gives a presentation about predicting
upcoming investment opportunities. How does establishing a hypothesis help the
audience understand their predictions?
- It
visualizes the data clearly and concisely
- It
provides context about the presentation’s purpose
- It
describes the data thoroughly
- It
summarizes the findings succinctly
Q2. According to the McCandless Method, what is the most
effective way to first present a data visualization to an audience?
- Introduce
the graphic by name
- Answer
obvious questions before they’re asked
- Tell
the audience why the graphic matters
- State
the insight of the graphic
Q3. An analyst introduces a graph to their audience to
explain an analysis they performed. Which strategy would allow the audience to
absorb the data visualizations? Select all that apply.
- Starting
with broad ideas
- Practicing
breathing exercises
- Using
the five-second rule
- Improving
body language
Q4. you are preparing for a presentation and want to make
sure your nerves don’t distract you from your presentation. Which practices can
help you stay focused on an audience? Select all that apply.
- Use
short sentences
- Speak
as quickly and briefly as possible
- Be
mindful of nervous habits
- Keep
the pitch of your voice level
Q5. You run a colleague test on your presentation before
getting in front of an audience. Your coworker asks a question about a section
of your analysis, but addressing their concern would mean adding information
you didn’t plan to include. How should you proceed with building your
presentation?
- Expand
your presentation by including the information
- Remove
the section of the analysis that prompted the question
- Keep
the concern in mind and anticipate that stakeholders may ask the same
question
- Leave
the presentation as-is
Q6. Your stakeholders are concerned about the source of your
data. They are unfamiliar with the organization that ran the analyses you
referenced in your presentation. Which kind of objection are they making?
- Data
- Presentation
skills
- Analysis
- Findings
Q7. A stakeholder objects to the steps of your analysis.
What are some appropriate ways to respond to this objection? Select all that
apply.
- Explain
why you think any discrepancies exist
- Take
steps to investigate your analysis question further
- Communicate
the assumptions you made in your analysis
- Defend
the results of your analysis
Q8. You are presenting to a large audience and want to keep
everyone engaged during your Q&A. What can you do to ensure your audience
doesn’t grow disinterested despite its size?
- Repeat
your key findings
- Ask
your audience for insights
- Wait
longer for the audience to ask questions
- Keep your pitch level
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