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.

Course 5: Analyze Data to Answer Questions, 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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