Essential Design Principles for Tableau Coursera Quiz Answers 2022 [💯Correct Answer]

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Essential Design Principles for Tableau Coursera Quiz Answers 2022 [💯Correct Answer]

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Table of Contents

About The Coursera

Coursera, India’s biggest learning platform launched millions of free courses for students daily. These courses are from various recognized universities, where industry experts and professors teach in a very well manner and in a more understandable way.

Here, you will find Essential Design Principles for Tableau Exam Answers in Bold Color which are given below.

These answers are updated recently and are 100% correct✅ answers of all week, assessment, and final exam answers of Essential Design Principles for Tableau from Coursera Free Certification Course.

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About Essential Design Principles for Tableau Course

This course will teach you how to analyze and apply key design principles to your Tableau visualizations. This course assumes you are familiar with Tableau’s tools and have a basic understanding of data visualization concepts.

Course Apply Link – Essential Design Principles for Tableau

Essential Design Principles for Tableau Quiz Answers

Week 01: Essential Design Principles for Tableau Coursera Quiz Answers

Module 1 Quiz Answers

Q1. True/False: You have 3 data points: 29%, 33%, 31%. It is appropriate to adjust the y-axis to start at 25% because the numbers are so close to each other.

  • True
  • False

Q2. Although most authors view pie charts as to-be-avoided at all costs, others do see them as effective. Select the one scenario where both pro- and anti-pie chart writers will agree that pie charts should not be used.

  • To put the audience in a positive frame of mind.
  • When there are 5 or more categories that are to be compared.
  • A pie chart with 2 slices.
  • When Communicating part-to-whole relationship.

Q3. According to your readings, a functionalist perspective of data visualization is _________________.

  • When a visualization is comprehensive and can answer every question in one view.
  • When a visualization uses many colors.
  • When a visualization effectively represents the data so that is can be understood quickly and easily.
  • When a visualization is exciting to look at.

Q4. What’s the one thing definitively wrong with this visualization:

  • Branding visualizations should be avoided at all costs.
  • The y-axis doesn’t start at zero.
  • “Then” should be yellow; “now” should be green.
  • The numbers are wrong.

Q5. This visualization has several issues with its design. Identify the only one of the following that is not an issue with this visualization.

  • The bar heights do not match the percentages.
  • The reference line is not clear.
  • It’s very difficult to interpret.
  • There is too much text.

Q6. According to your readings, if you have a lot of categories in time series data, what is the best approach for your visualization from the following options:

  • Line graphs with totals above
  • A stream graph (a type of stacked area graph displaced around a central axis)
  • Stacked area graphs
  • Trellis plot

Q7. True/False: It is more helpful to the reader to eliminate the axis altogether where appropriate and label individual data elements on the visualization itself.

  • False
  • True

Q8. A 3D chart should be used only in the following circumstances:

  • Whenever possible as long as you ensure that elements are well labeled.
  • Whenever you want to add visual elements to your visualization that pop.
  • Only when you need to plot three-dimensional data.
  • Only when you need to compare values across categories.

Q9. Can you find the line with the average length in this set?

  • Line A
  • Line E
  • Line B
  • Line D
  • Line C

Q10. When doing a presentation for a large group of people, the best visualization to show differences between categories of data is one of the following:

  • Bar graph
  • Cross-tabulation or table
  • Pie chart
  • Radar chart

Q11. A scatterplot is useful for showing ____________________.

  • Dimension on one axis and measures on the other axis.
  • Data that are at different time periods.
  • Spatial information.
  • Two different measures.

Q12. Pick the one time that you should not use a table.

  • Always avoid tables bigger than 2 x 2
  • When you are presenting to a large, live meeting.
  • At a committee meeting where people can spend time focusing on the visual.
  • On a website which people will access on their own time.

Q13. Humans have developed perceptual and cognitive capabilities that initially tend to favor ___________________?

  • Speed
  • Precision and completeness
  • Accuracy

Q14. True/False: Data in a visualization must never be sorted based on the importance of the category of the data.

  • True
  • False

Q15. Suppose you have a bar graph that has values of 4 and 5. If you start the axis at 0 and increment by 1, then the visual increase between the bars showing 5 and 4 is 25%. See example A:

What would the visual increase be between the bars representing 4 and 5 if you started the axis at 3 and incremented by one?

  • 60%
  • 100%
  • 12.5%
  • 125%

Q16. Which most closely describes the process of visual encoding?

  • Transposition
  • Translation
  • Transcending

Q17. System 1 refers to which type of thinking and responding?

  • Slow, deliberate, and logical
  • Fast, intuitive, and emotional
  • Moderate, methodical, and qualitative

Q18. If you had to figure out the sum of all line lengths, that would involve?

  • Systems 1 and 2
  • Only System 1
  • Only System 2

Module 2 Quiz Answers

Q1. Which of the following visualization types would be best for accessing iconic memory?

  • Any network diagram.
  • A map of China that highlights internet access penetration by showing each municipality and village.
  • A simple bar graph that contrasts measure of interest with other similar measures.
  • A table that uses percentages instead of values.

Q2. True/False: If you appeal to a reader’s iconic memory, it will not be useful for appealing to a reader’s short or long-term memory.

  • True
  • False

Q3. True/False: Eliminate all text to eliminate clutter.

  • False
  • True

Q4. Of the following, which would be best for reducing cognitive load on a 7 category bar graph?

  • One color for each (7 colors) but no data labels or axis.
  • Two colors with one identifying the interesting element but no text of anywhere.
  • One color, no axis and no data labels.
  • One color, no axis, but data labels.

Q5. A scatterplot that has two colors identifying categories of data is a good example of this type of Gestalt perception:

  • Similarity
  • Enclosure
  • Closure
  • Proximity

Q6. Suppose you want your audience to see how income per GDP for a set of countries has changed over the past 50 years so you do a line graph. What Gestalt principle are you applying here?

  • Closure
  • Similarity
  • Proximity
  • Connection

Q7. True/False: It is always superior to use many colors than using shades of gray and one additional color.

  • True
  • False

Q8. Which of these would be a poor application of a strategic use of contrast?

  • Bolding text in a table.
  • Using different colors for each category and highlighting the important element with black.
  • One bright color contrasted with gray.
  • Using a bright blue for the important element but much lighter shade for other elements.

Q9. Visualizing data in three dimensions with a bar chart is appropriate only in the following circumstance.

  • It’s something that everyone else in my company does.
  • When data are expressed in such a way that visualizations must be done in three dimensions because graphing in two dimensions would be inappropriate.
  • Always, because that’s the trend in visualization best practices.
  • Whenever you feel that the graph might look prettier or visually appealing.

Q10. True/False: Eliminating clutter is more important than having a visual that is understandable because cluttered visuals have too much useless information.

  • True
  • False

Q11. Providing a reference line with shading on one side allows to highlight a group of values in a visualization. Which Gestalt principle is this?

  • Closure
  • Proximity
  • Symmetry
  • Enclosure

Q12. Suppose you must include a table with numbers in a visualization to a large audience. What’s the one thing listed below that you should not do to it?

  • Make the values in the table large enough for people to read.
  • Leave it uncolored.
  • Highlight the insight with one color and leave the others uncolored.
  • Put a contrasting color in each box.

Q13. True/False: Sorting your data so that the values are in order is essential to any decluttering of visualizations.

  • True
  • False

Q14. One of your audience members in a small committee is color blind and you have decided to stick with only black and white in your visualizations. Which is the best way to provide a pre-attentive attribute in a scatterplot that has two categories?

  • Make one category a square and one a triangle.
  • Use circles and fill one category and leave the other unfilled.
  • Make one category bigger than the other.
  • Change the intensity of one category by making it more gray and less black.

Module 3 Quiz Answers

Q1. An example of leveraging white space means that…

  • The bars in a bar graph should not be too wide or too narrow.
  • Fill white space with a legend.
  • You must stretch the graph to narrow the margins.
  • You must leave a lot of room between the titles and data.

Q2. True/False: You can use any combination of fonts you’d like to add pop to your visual.

  • True
  • False

Q3. Choose the most appropriate way to design a visualization.

  • Choose a corporate or a standard font that is consistent and easy to read.
  • Do not coordinate the color of the text with the color of the category.
  • Use a fun font like Comic Sans to get the reader’s attention.
  • Add a paragraph in small font as a footnote to the visualization to explain every nuance of the data.

Q4. True/False: The Gestalt principle of proximity and the first law of geography are closely related.

  • False
  • True

Q5. The Gestalt principle of proximity does not mean…

  • Things that are close to each other are more likely to be related than those that are further apart.
  • If a data point is not close to other points then it is not related at all.

Q6. What would be the best guess for why there were Cholera deaths of people outside of the neighborhood of the polluted water pump?

  • Polluted water was not the cause of Cholera. There must be some other cause.
  • The victims who lived outside of the hot spot consumed water from the polluted pump despite living further away from the pump.
  • The victims died of something other than Cholera.
  • The researcher was wrong about determining what were polluted pumps.

Q7. What other attributes were used in the Cholera map to ascertain which water pump was polluted?

  • Color and size
  • Symmetry
  • Continuity
  • Closure

Q8. True/False: If you’re careful and thoughtful you can re-scale complex data to help aid in accessibility of your data.

  • False
  • True

Q9. True/False: It is unacceptable to use more than one type of pre-attentive attribute.

  • True
  • False

Q10. Outliers may be…

  • Deleted from the dataset
  • Safely ignored after looking for them
  • Interesting in its own way and an analyst must understand the context
  • Always something to be concerned about

Q11. In the lessons, we saw a strip plot, scatterplot, histogram, and control charts being used to investigate unusual data. Which of the following visualizations would be another good way to check for outliers?

  • A line chart which shows a very large spike in one time period.
  • A pie chart that shows a very small slice for one category means those are outliers.
  • A bar chart that has a very small bar that indicates that there is likely outliers.
  • A map for data are within a defined geographic range (such as cities in a particular state or province) and there are a couple of points that are out of the expected range.

Q12. True/False: Because a control chart is often used in manufacturing and heavy industry, paying attention to aesthetics and pre-attentive attributes is not as important.

  • False
  • True

Q13. Exploratory analysis is ______________?

  • Playing around with the data in an aimless way.
  • Something that should be ignored if you have a clearly defined question.
  • Learning about outliers.
  • Understanding your data well to facilitate explanatory analysis.

Q14. Anscombe’s quartet showed _________________.

  • Visualizations are sufficient.
  • Visualizations are necessary and complements summary statistics.
  • Correlation is causation.
  • Summary statistics are not helpful in any way because they mask problems with the data.

Module 4 Quiz Answers

Q1. Which description best describes a persona?

  • A homogenous version of an “average” all user segment.
  • Descriptions and photos of users that are used to show a project is employing “user centered design.”
  • A document that captures the needs, goals and abilities of a specific audience segment.

Q2. Which of the following is true about continuous data?

  • There’s no inherent order to the data.
  • Continuous data has a potentially infinite set of values.
  • The values cannot be subdivided.

Q3. Colin Ware proposed three interlocking feedback loops of visualization. Which one in this list is not one of them?

  • Exploration and navigation
  • Color channeling
  • Direct manipulation of graphical objects
  • Problem solving

Q4. What best describes the idea of progressive disclosure in an interactive visualization?

  • Real time streaming of data.
  • Showing only the level of data that is needed at a particular part of an analytic process or workflow.
  • Using only a subset of data in a statistical analysis.

Q5. What was the visual exaggeration in Florence Nightingales’ “rose diagram”?

  • The color choices
  • Line lengths
  • The areas of the wedges

Q6. Which of the following is not an example of a useful coordinated view approach?

  • Distorting
  • Filtering
  • Highlighting

Q7. Which of the following is not true about discrete data?

  • Discrete data have a potentially infinite set of values.
  • The values are not subdivided.
  • There’s no inherent order to the categories.

Q8. Which two visual attributes are good for displaying quantitative measures?

  • Color intensity and saturation
  • Shape and size
  • Line length and 2D position

Q9. What’s a common design problem for direct manipulation of graphical objects?

  • A target area for selection is covered up or crowded out by other graphical objects.
  • Graphical objects may appear closer than they really are.
  • Users tend to preferentially select rectangular shapes.

Q10. Why is it generally a good idea to start axes with a zero?

  • Charts look better with axes starting at zero.
  • It’s always easier to design charts that way.
  • It avoids distortions in the values being compared.

Q11. Which of the following is not generally considered an essential element of a useful Persona description?

  • The persona’s goals
  • The persona’s needs
  • The persona’s pets’ names

Q12. Which visual attribute is good for displaying qualitative measures?

  • Line length
  • Color intensity
  • 2D Position

Q13. Which definition best fits the idea of “survivor bias”?

  • A tendency to draw conclusions based on data from biased survivors.
  • A tendency to draw conclusions based only on data that survived the ETL process.
  • A tendency to draw conclusions based on data from what survived a process and overlooking what did not.

Q14. True/False: Tree maps are an example of Geospatial representation?

  • True
  • False

More About This Course

This course will teach you how to analyze and apply key design principles to your Tableau visualizations. This course assumes you are familiar with Tableau’s tools and have a basic understanding of data visualization concepts. You will define and compare exploratory and explanatory analysis, as well as begin to ask the right questions about what is required in a visualization. You will evaluate how data and design interact, including how to select the best visual representation for your data and the distinction between effective and ineffective visuals. You will be able to demonstrate examples of strategic use of contrast to highlight important elements and apply effective best-practice design principles to your data visualizations. You will assess pre-attentive characteristics and explain why they are important in visualizations. You will investigate the significance of using the “right” amount of color in the right place, as well as be able to apply design principles to de-clutter your data visualization.

WHAT WILL YOU LEARN?

  • Examine and improve a faulty visualization
  • Examine and improve a faulty visualization
  • Use best visualization practices.
  • Create and design visualizations that are most appropriate for the target audience.

SKILLS YOU WILL GAIN

  • Data Analysis
  • Tableau Software
  • Data Virtualization
  • Data Visualization (DataViz)

Conclusion

Hopefully, this article will be useful for you to find all the Week, final assessment, and Peer Graded Assessment Answers of the Essential Design Principles for Tableau Quiz of Coursera and grab some premium knowledge with less effort. If this article really helped you in any way then make sure to share it with your friends on social media and let them also know about this amazing training. You can also check out our other course Answers. So, be with us guys we will share a lot more free courses and their exam/quiz solutions also, and follow our Techno-RJ Blog for more updates.

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