Share Data Through the Art of Visualization Coursera Quiz Answers

All Weeks Share Data Through the Art of Visualization Coursera Quiz Answers

This is the sixth course in the Google Data Analytics Certificate. These courses will equip you with the skills needed to apply to introductory-level data analyst jobs. You’ll learn how to visualize and present your data findings as you complete the data analysis process.

This course will show you how data visualizations, such as visual dashboards, can help bring your data to life. You’ll also explore Tableau, a data visualization platform that will help you create effective visualizations for your presentations.

Current Google data analysts will continue to instruct and provide you with hands-on ways to accomplish common data analyst tasks with the best tools and resources.

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Share Data Through the Art of Visualization Week 01 Quiz Answers

L2 Data visualization:

Q1. Fill in the blank: Correlation charts show _____ among data.

  • relationships
  • causation
  • changes
  • outcomes

Q2. After analyzing their data, a junior analyst creates bar graphs, line graphs, and pie charts to help explain findings to stakeholders. These are all examples of what?

  • Data visualizations
  • Data filters
  • Data tabulations
  • Data transformations

Q3. When does causation, or a cause-effect relationship, occur?

  • When an action could potentially lead to different outcomes
  • When an outcome could have been caused by multiple actions
  • When an action could have affected an outcome
  • When an action directly leads to an outcome

Q4. Which of the following are part of McCandless’s elements of effective data visualization? Select all that apply.

  • The goal
  • The structure
  • The moral
  • The visual form

Quiz- 2

L3 Designing data visualizations:

Q1. Which element of design can add visual form to your data and help build the structure for your visualization?

  • Movement
  • Space
  • Shape
  • Line

Q2. Which of the following are elements for effective visuals? Select all that apply.

  • Sophisticated use of contrast
  • Clear goal
  • Clear meaning
  • Refined execution

Q3. Fill in the blank: Design thinking is a process used to solve complex problems in a _____ way.

  • action-oriented
  • step-by-step
  • user-centric
  • pre-attentive

Q4. While creating a data visualization for your stakeholders, you realize certain colors might make it harder for your audience to understand your data. What phase of the design process does this represent?

  • Define
  • Empathize
  • Ideate
  • Prototype

Quiz- 3

L4 Explore visualization considerations:

Q1. What are the three basic visualization considerations? Select all that apply.

  • Headlines
  • Subtitles
  • Labels
  • Text

Q2. Directly labeling a data visualization helps viewers identify data more efficiently. Legends are often less effective because they are positioned away from the data.

  • True
  • False

Q3. In what ways can data analysts use alternative text to make their data visualizations more accessible?

  • To make the presentation of data clearer
  • To provide a textual alternative to non-text content
  • To make data visualizations easier to read
  • To add context to the data visualization

Q4. You are creating a data visualization and want to ensure it is accessible. What strategies do you use to simplify the visual? Select all that apply.

  • Do not create overly complicated charts
  • Do not include long chunks of text
  • Do not include labels
  • Do not include too much information

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 Week 02 Quiz Answers

Quiz- 1

L2 Getting started with Tableau:

Q1. As a business intelligence and analytics platform, Tableau enables you to do what with data? Select all that apply.

  • Connect to data in databases, spreadsheets, or CSV files
  • Observe and understand data to make decisions
  • Create and share interactive dashboards with data
  • Check and clean data in databases

Q2. You are comparing Tableau to Looker and Google Data Studio for your company’s data visualization needs. What feature is unique to Tableau?

  • Drag and drop functionality to create visualizations
  • Integration of multiple data sources
  • Desktop version for users
  • Connectivity to SQL databases

Q3. Fill in the blank: When using Tableau Public, click the Gallery tab to access _____.

  • public visualizations
  • how-to videos
  • blog articles
  • sample data

Quiz- 2

L3 Create visualizations in Tableau:

Q1. A diverging color palette in Tableau displays characteristics of values using what color combination?

  • Shade for the accuracy and grayscale for the reliability
  • Hue for the range and tint for the margin of error
  • Intensity for the magnitude and hue for the range
  • Intensity for the range and hue for the magnitude

Q2. A data analyst creates a Tableau visualization to compare the trade (amount of goods and services exchanged) between the European Union (EU) and Australia. Which color choice could be misleading?

  • Green for the EU and red for Australia
  • Blue for the EU and gray for Australia
  • Beige for the EU and purple for Australia
  • Orange for the EU and brown for Australia

Q3. How could you adjust the labels to make the following visualization more effective? Select all that apply.

img

Each country has statistics for family, health, freedom, and generosity

  • Move the labels to white space on the map
  • Reduce the number of labels
  • Change the font color for the labels from black to white
  • Use a single font for the labels

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 Week 02 Quiz Answers

Quiz- 1

L2 Data-driven stories:

Q1. Data storytelling involves which of the following elements? Select all that apply.

  • Describing the steps of your analysis process
  • Communicating the meaning of a dataset with visuals
  • Using a narrative that is customized to your audience
  • Selecting only the data points that support your case

Q2. A data analyst presents their data story to an audience. They aim to capture and hold the audience members’ interest and attention. Which data storytelling concept does this describe?

  • Narrative
  • Primary message
  • Visuals
  • Engagement

Q3. Which of the following activities would a data analyst do while spotlighting? Select all that apply.

  • Focus on the details of the analysis and results
  • Write notes on a white board that contain the data analysis insights
  • Search for broad, universal ideas and messages
  • Identify ideas or concepts that arise repeatedly

Quiz- 2

L3 Use Tableau dashboard:

Q1. Fill in the blank: A dashboard organizes information from multiple datasets into one central location. This enables the information to be _____. Select all that apply.

  • visualized
  • protected
  • tracked
  • analyzed

Q2. A data analyst is choosing their Tableau dashboard layout. They want the layout to automatically resize itself based on the dashboard size. They should use a tiled layout.

  • True
  • False

Quiz- 3

L4 Communicate data stories:

Q1. A new challenge from a competitor, an inefficient process that needs to be improved, or a potential business opportunity could all represent which aspect of data storytelling?

  • Plot
  • Big reveal
  • Setting
  • Aha moment

Q2. Fill in the blank: When designing a presentation, a slideshow tool called _____ can be used to control the color, font types and sizes, formating, and positioning of text and visuals.

  • themes
  • patterns
  • schemes
  • motives

Q3. A data analyst includes a visual in their presentation to represent information from a dataset. It’s important that the visual reflect the latest information, so the analyst wants it to update automatically if the original dataset changes. The analyst should copy and paste the visual into the presentation.

  • True
  • False

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 Week 04 Quiz Answers

Quiz-1

L2 Effective presentations:

Q1. Which of the following is an example of a business task? Select all that apply.

  • Comparing in-person and online clothing purchasing trends to make stocking decisions
  • Theorizing that the amount of coffee purchased per day increases in the summer
  • Finding relationships between weather patterns and economic activity
  • Identifying a company’s most productive manufacturing plants

Q2. A supervisor asks a junior data analyst to present two hypotheses regarding a data analytics project. What is the purpose of a hypothesis?

  • To describe methods
  • To introduce findings
  • To theorize about data
  • To summarize data

Q3. Which of the following is an example of an initial hypothesis? Select all that apply.

  • A company’s manufacturing plant had lower output in the past month
  • A relationship between the holiday season and increased traffic congestion
  • An increase in wildlife presence coincides with unusual annual rainfall
  • Annual revenue shows a trend that online purchases have increased in the past year

Q4. In the McCandless Method, the first step involves communicating to the audience where they should focus and what the graphic is about. Which step is this?

  • State the insight of your graphic
  • Answer obvious questions before they’re asked
  • Calling out data to support your insights
  • Introduce the graphic by name

Quiz- 2

L3 Presentation skills and practices:

Q1. Which techniques can be helpful to prevent nerves before a presentation? Select all that apply.

  • Prepare materials beforehand
  • Speak quickly so you don’t run out of time
  • Describe each graph in-depth
  • Channel your excitement

Q2. Which technique can make it easier to keep your body calm before a presentation?

  • Practicing breathing exercises
  • Starting with broad ideas
  • Applying the five second rule
  • Preparing material beforehand

Q3. Which practices are helpful for keeping an audience focused on your presentation? Select all that apply.

  • Build in intentional pauses
  • Be mindful of nervous habits
  • Make eye contact
  • Make constant gestures

Quiz- 3

L4 Caveats and limitations to data:

Q1. What is the technique that data analysts use to help them anticipate the questions a stakeholder might have during a Q&A?

  • Limitation test
  • Practice swing
  • Stakeholder brainstorm
  • Colleague test

Q2. You present to your stakeholders, and they express concern about how your results compare to previous results. Which kind of objection are they making?

  • Analysis
  • Presentation skills
  • Data
  • Findings

Q3. After your presentation, a stakeholder is concerned about whether your data comes from a reputable source. In what ways should you respond? Select all that apply.

  • Acknowledge that the objection is valid
  • Follow up with details about the source
  • Question why the stakeholder is concerned
  • Take steps to investigate the source further

Quiz- 4

L5 Listen, respond and include:

Q1. After you finish giving a presentation, and an audience member asks your team about additional information on your topic. Your coworker is answering the question thoroughly, but you notice that the rest of your audience has tuned out. How can you re-engage your audience? Select all that apply.

  • Repeat the question
  • Redirect to a new question
  • Interrupt your coworker
  • Ask a question to the audience

Q2. You answer a question from an audience member, who then seems confused. You conclude that you didn’t understand the question. What should you have done differently to avoid the issue? Select all that apply.

  • Repeated the question to clarify
  • Elaborated more on the topic
  • Listened to the full question
  • Provided more context for their answer

Q3. Your audience has several questions after your presentation, and you may not have enough time to answer them all. How should you proceed?

  • Involve the whole audience
  • Repeat each question
  • Keep responses brief and follow up after the presentation
  • Understand the context of each question

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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Analyze Data to Answer Questions

All Course Quiz Answers of Google Data Analytics Professional Certificate

Course 01: Foundations: Data, Data, Everywhere

Course 02: Ask Questions to Make Data-Driven Decisions

Course 03: Prepare Data for Exploration

Course 04: Process Data from Dirty to Clean

Course 05: Analyze Data to Answer Questions

Course 06: Share Data Through the Art of Visualization

Course 07: Data Analysis with R Programming

Course 08: Google Data Analytics Capstone: Complete a Case Study

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