Data Visualization and Communication with Tableau Coursera Answer. In this post you will get Quiz & Assignment Answer Of Data Visualization and Communication with Tableau
Data Visualization and Communication with Tableau
Offered By ”Duke University”
Week 1 Quiz
1.
Question 1
According to the data analytics company Gartner, the majority of companies reported the reason their big data projects failed is due to:
1 point
- mostly technical failures, but also some organizational failures
- organizational failures only
- mostly organizational failures, but also some technical failures
- equal parts organizational and technical failures
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2.
Question 2
True/False: Everybody in the analytics world agrees that your job as a data analyst is to ask and answer the one, true, right question.
1 point
- True
- False
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3.
Question 3
In this course, we used the S.M.A.R.T acronym to refer to goals that are:
1 point
- Strategic, Measureable, Attainable, Relevant, and Time-bound
- Specific, Measureable, Attainable, Realistic, and Time-bound
- Specific, Measureable, Active, Realistic, and Time-bound
- Specific, Measureable, Attainable, Relevant, and Time-bound
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4.
Question 4
Which of the following steps of the analytics project life cycle should you complete first?
1 point
- Analyzing data
- Making a dashboard
- Defining a SMART goal
- Making a data analysis plan
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5.
Question 5
True/False: Including the business metric that you will use to assess success in your business analytics project will make your project goal sufficiently specific to ensure success.
1 point
- True
- False
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6.
Question 6
Which of the SMART criteria are NOT met by this data analytics project goal (pay close attention to whether the options are words the SMART acronym stands for)?
The goal of this project is to, within 45 days, use the inventory, production, and customer service databases from national manufacturing plants to reduce the number of polo shirts returned for manufacturing defects.
1 point
- Time-bound
- Specific
- Measurable
- Attainable
- Reasonable
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7.
Question 7
True/False: Stakeholders are those individuals who are influenced by the outcome of your project or who might have a strong interest in it.
1 point
- True
- False
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8.
Question 8
Elicitation sessions occur:
1 point
- before you have accepted an analysis job
- after you have accepted an analysis job, and should continue throughout the life cycle of a data analysis project
- after you have accepted an analysis job, and should conclude before you begin a data analysis
- after you have accepted an analysis job, and should conclude mid-way through a data analysis
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9.
Question 9
You are an analyst at a bank. Your bank ran a short-term experiment in which they provided credit cards to a wider range of applicants then normal, including applicants whose applications would typically be rejected due to their troubled financial profiles. Your job is to model the data from this experiment to create a decision-making algorithm that will help the bank decide how to respond to future credit card applications more profitably.
The following parties are NOT likely to be key stakeholder(s) in your project (select all that apply):
1 point
- the bank’s shareholders
- Individuals who will apply for credit cards in the future.
- the bank, itself
- the bank’s creditors
- Individuals who applied for credit cards in the past, but were denied
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10.
Question 10
At the beginning of any data analysis project, you should meet with your key stakeholders to understand:
1 point
- what problem the business is experiencing that stakeholders hope to solve.
- whether all the stakeholders agree about what business problem needs to be solved.
- what types of effects or factors you should be considering in your data analysis.
- what kinds of analytic tools and results the company culture will be open to.
- all of the above.
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11.
Question 11
What strategies were discussed as options for handling situations where achieving the SMART goal of a project requires a type of analysis the project lead and stakeholders are not open to? (check all that apply)
1 point
- Show company executives or project directors prototypes of what kind of results the analysis would provide.
- Suggest implementing two analysis teams in parallel, one that implements the strategy the project lead and stakeholders have in mind, and another that implements the more innovative strategy.
- Show company executives or project directors examples of when a similar analysis brought significant value to another company.
- Write a persuasive white paper describing the potential benefits of implementing the analysis.
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12.
Question 12
True/False: When you are designing your business analysis plan, you should treat your business metric as the independent variable in your data analysis.
1 point
- True
- False
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13.
Question 13
SPAPs should be altered after you begin a data analysis.
1 point
- True
- False
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14.
Question 14
How many layers should there be in the “independent variables” section of your pyramid?
1 point
- 2
- 3
- 4
- As many layers and sub-layers as needed to cover all the issues you want to be sure you document or address
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15.
Question 15
The best charts for assessing the categories and subcategories listed in the intermediate layers of your SPAP include (select all that apply):
1 point
- Bar charts
- Scatter plots
- Pie charts
- Line charts
Week 2 Quiz
1.
Question 1
Use the Dognition_aggregated_by_DogID data set for the quiz questions. Note that we use comma (,) to separate groups of thousands in numbers.
How many unique human user IDs are there in the Dognition_aggregated_by_DogID data set?
1 point
14,433
16,261
17,985
17,986
None of the above
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2.
Question 2
What feature is common to all the rows that have a value of 37 in the “State” field of the Dognition_aggregated_by_DogID data set? Check all that apply.
1 point
They are all from Estonia
They are all golden retrievers
They are all “charmers”
They all weigh 37 pounds
They all completed 37 tests
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3.
Question 3
What property is common to almost all the data points that had “Sign In Counts” of greater than 175 in the Dognition_aggregated_by_DogID data set?
1 point
They are all from the city Saint Jean de Monts
They are all from Estonia
They are all Shih Tzus that weigh 190 lbs
They all have Dog ID fd51b784-7144-11e5-ba71-058fbc01cf0b
They all have an Einstein profile
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4.
Question 4
The Personality Dimension that has the highest average number of completed tests in the Dognition_aggregated_by_DogID data set is clearly:
1 point
The Expert Dimension
The Socialite Dimension
The Renaissance Dimension
The Protodog Dimension
None of them. All of the personality dimensions have very similar completion rates.
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5.
Question 5
In the Dognition_aggregated_by_DogID data set, what is consistent about the relationship between breeding group and number of tests completed, regardless of whether you aggregate the variable representing the number of tests completed by the median or the average of the breeding group?
1 point
Herding dogs finish the greatest number of tests
Sporting dogs finish the greatest number of tests
Toy dogs complete the least number of tests
Hound dogs complete the least number of tests
None of the above
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6.
Question 6
In the Dognition_aggregated_by_DogID data set, what personality type has the strongest representation (greatest number of records) in the sporting breed group?
1 point
Einstein
Charmer
Socialite
Protodog
Expert
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7.
Question 7
In the Dognition_aggregated_by_DogID data set, which of the following describes the median number of tests dogs of different breed types complete?
1 point
Popular-Hybrid dogs complete a median of 8 tests, while all the other breed types complete a median of 7 tests
Pure-Breed dogs complete a median of 8 tests, while all the other breed types complete a median of 7 tests
All breed types complete a median of 7 tests
Cross-Breed dogs complete a median of 8 tests, while all the other breed types complete a median of 7 tests
All breed types complete a median of 5 tests
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8.
Question 8
In the Dognition_aggregated_by_DogID data set, how do the average number of tests dogs complete compare for fixed vs. not fixed dogs across different breed types? Click all that apply
1 point
The greatest difference between the average number of tests completed by fixed vs. non-fixed dogs occurs in the Mixed Breed/ I Don’t Know breed category
Fixed dogs complete more tests than non-fixed dogs in all breed types
Fixed dogs complete more tests than non-fixed dogs in the Cross-Breed and Mixed Breed/ I Don’t Know breed categories, but not in the other breed categories
Fixed dogs complete less tests than non-fixed dogs in all breed types
Fixed dogs complete less tests than non-fixed dogs in the Cross-Breed and Mixed Breed/ I Don’t Know breed categories, but not in the other breed categories
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9.
Question 9
In the Dognition_aggregated_by_DogID data set, which of the following are true about the average number of tests dogs complete when comparing DNA vs. not DNA-tested dogs who were fixed vs. not fixed across different breed types? Click all that apply.
1 point
The Cross-Breed dogs that were DNA tested but NOT fixed were mostly Labrador Retriever-Golden Retriever Mixes
There was only one dog in the Popular Hybrid breed category who was DNA tested but not fixed
DNA-tested dogs completed less tests than dogs that were NOT DNA tested in all categories except for the category of Popular Hybrids who were fixed
DNA-tested dogs completed more tests than dogs that were NOT DNA tested in all categories except for the category of Popular Hybrids who were fixed
The Cross-Breed dogs that were DNA tested but NOT fixed were mostly Golden Doodles
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10.
Question 10
In the Dognition_aggregated_by_DogID data set, when you make a filled map that displays the number of unique Dog IDs in each country, there is country in Africa that has a deep color, suggesting it has a lot of users. When you hover over that country, what Country is displayed on the tool tip?
1 point
AR
NO
SA
ZA
N/A
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11.
Question 11
In the Dognition_aggregated_by_DogID data set, which state within the United States has the most Dognition customers?
1 point
Texas, with California having the second greatest number of customers
North Carolina, with New York having the second greatest number of customers
Florida, with Texas having the second greatest number of customers
North Carolina, with California having the second greatest number of customers
California, with New York having the second greatest number of customers
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12.
Question 12
In the Dognition_aggregated_by_DogID data set, dogs in which of the following states did customers complete a median number of tests that was greater than 13? Check all that apply.
1 point
Maine (ME)
North Carolina (NC)
North Dakota (ND)
South Dakota (SD)
Wyoming (WY)
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13.
Question 13
Which of the following is true?
1 point
Neither average nor median aggregations are sensitive to outliers
Average aggregations are more sensitive to extreme values than median aggregations
Median aggregations are more sensitive to extreme values than average aggregations
Average and median aggregations are equally sensitive to outliers
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14.
Question 14
In the Dognition_aggregated_by_DogID data set, when looking at only dogs who completed 19 or less tests, which of the following is true about the relationship between inter-test intervals (ITIs) and number of tests completed? Click all that apply.
1 point
There was a significant positive (p < .05) correlation between average ITIs and number of tests completed
There was a significant positive (p < .05) correlation between median ITIs and number of tests completed
There was a non-significant positive (p > .05) correlation between average ITIs and number of tests completed
There was a significant negative (p < .05) correlation between median ITIs and number of tests completed
There was a non-significant negative (p > .05) correlation between average ITIs and number of tests completed
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15.
Question 15
In the Dognition_aggregated_by_DogID data set, when looking at only dogs who completed 7 or less tests, which of the following is true about the relationship between inter-test intervals (ITIs) and number of tests completed? Click all that apply
1 point
There was a significant positive (p < .05) correlation between average ITIs and number of tests completed
There was a significant negative (p < .05) correlation between median ITIs and number of tests completed
There was a significant positive (p < .05) correlation between median ITIs and number of tests completed
There was a non-significant negative (p > .05) correlation between average ITIs and number of tests completed
There was a non-significant positive (p > .05) correlation between average ITIs and number of tests completed
Week 3 Quiz
1.
Question 1
Use the dognition_data_no_aggregation data set provided in this course for this quiz.
In the dognition_data_no_aggregation data set, the greatest drop offs of test-takers occur after a subcategory of tests is completed rather than while the subcategories of tests are still in progress.
1 point
True
False
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2.
Question 2
In the dognition_data_no_aggregation data set, after which game is the drop-off of completed tests the greatest?
1 point
Eye Contact Game
Inferential Reasoning Game
Memory vs. Pointing Game
Cunning Game
Yawn Game
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3.
Question 3
If you remove all the entries associated with Shih Tzu dogs that weigh 190 pounds from the dognition_data_no_aggregation data set, how many different sequences of tests were administered to customers in the data that are left?
1 point
1
2
3
at least 4
at least 15
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4.
Question 4
During which day of the week do customers play Dognition games the most?
1 point
Wednesday
Thursday
Friday
Saturday
Sunday
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5.
Question 5
During which month in the data set were the most tests completed?
1 point
August 2013
March 2014
October 2014
June 2015
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6.
Question 6
After adjusting the time stamps of the tests completed by United States users provided in the “Created At” field of the dognition_data_no_aggregation data set for time zone differences, during which hour of the day do Dognition customers play the most amount of games?
1 point
7 AM
noon
3 PM
7 PM
10 PM
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7.
Question 7
In the dognition_data_no_aggregation data set, approximately what percentage of users who begin taking the Dognition Assessment complete 20 tests?
1 point
6%
8%
15%
23%
25%
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8.
Question 8
In the dognition_data_no_aggregation data set, what percentage of users who begin taking the Dognition Assessment using a “Free Start” promotion complete 20 tests?
1 point
1%
6%
17%
22%
29%
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9.
Question 9
Using the dognition_data_no_aggregation data set, if you make a table using the “Dog ID” and “Test Name” variables on the rows shelf, and Created At on the Text property of the Marks card, which of the following might be a value you would see in the column farthest to the right, if the “Created At” pill was blue and read SECOND(Created At)?
1 point
2/8/2013 1:39:00 AM
0
39
1:39:00 AM
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10.
Question 10
If you were writing a calculation to rank each test a dog completed by its time stamp in the dognition_data_no_aggregation data set, what would be missing from the following version of your rank table calculation: RANK(([Created At]),’asc’)
1 point
an aggregation before [Created At], the most appropriate of which is MEDIAN
an aggregation after [Created At], the most appropriate of which is MEDIAN
an aggregation before [Created At], the most appropriate of which is ATTR
an aggregation after [Created At], the most appropriate of which is ATTR
there is nothing missing
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11.
Question 11
You are writing a calculation to rank each test a dog completed by its time stamp in the dognition_data_no_aggregation data set. You’ve configured your table calculation so that “Dog ID” and “Test Name” are in the Partitioning field and “Second Created” is in the Addressing field. The resulting rank will:
1 point
List “1” for the first test of every Dog ID
Provide one correctly ranked number for every test within a single Dog ID
Provide one incorrectly ranked number for every test within a single Dog ID
Provide one number for every test within a subcategory
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12.
Question 12
You are writing a calculation to include a column in a table that ranks each test a human user completed by its time stamp in the dognition_data_no_aggregation data set. You put this column directly to the left of the column you made to rank each test a dog completed by its time stamp. The following field(s) will go in the Partitioning field in the calculation configuration page in your new calculation meant to rank each test a human user completed: (check all that apply)
1 point
Created At
Dog ID
Test Name
User ID
None of the above
Week 4 Quiz
1.
Question 1
The
hourglass
model for structuring effective business presentations suggests you should:
1 point
begin your presentation with your agenda and end with a summary of what you covered
begin and end your presentation with motivating context
begin your
presentation with motivating context and end with your business recommendation
begin your presentation with your agenda and end with a story
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2.
Question 2
Which of the following items are NOT story elements you can use in a business presentation?
1 point
Relevance
Resolution
Conflict
Location
Characters
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3.
Question 3
The storyboarding process includes:
1 point
asking for feedback
determining the precise order in which the scenes will be organized
choosing the best visualizations to communicate the information of each scene
narrowing in on the minimum number of scenes necessary to convey your data story
all of the above
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4.
Question 4
According to the psychology literature, if the business recommendation you are going to make in a business presentation is likely to be controversial, you should order the
stem of your presentation hourglass so that the:
1 point
most emotional story point is presented first.
least complicated story point is presented first.
strongest story point is presented first.
least controversial point is presented first.
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5.
Question 5
The logical fallacy of overgeneralization can be avoided by removing outliers and rows with missing data.
1 point
TRUE
FALSE
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6.
Question 6
To test whether a certain advertising campaign would work, an analytics team sorts
their customer list from lowest to highest customer ID number, and then sends
their advertisement to the first 1000 customers on the list. The rest of the customers did not receive any
advertisements that week. When analyzing
the results of the campaign one week later, the analytics team realized that there
was a previously unknown pattern in the customer ID numbers: the lower the
customer number, the longer the person had been a customer. Thus,
the customers who received the advertisement were the individuals who had been
customers with the company the longest.
The analytics team decided the test was invalid and needed to be
repeated. The reason for their decision
was that analyzing the results in their current form would result in the
following logical fallacy (or fallacies):
1 point
Over-generalization
Inferring causation from correlation
Lack of controls
All of the above
None of the above
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7.
Question 7
When two variables are correlated, one variable does not cause the other variable.
1 point
True
False
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8.
Question 8
The best way to understand the nature of a relationship between two variables is to run
a test.
1 point
True
False
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9.
Question 9
Which of these charts
would be the best way to display how Smartphone sales have changed over time?
1 point
Chart B
Chart A
Neith Chart A nor Chart B is effective
Chart A and Chart B are equally effective
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10.
Question 10
When you want to represent very detailed
and nuanced information about continuous variables, given humans’ ability to
perceive relative differences along different kinds of visual attributes, which
of the following attributes should you exploit in your visualizations? Choose the best 2 options.
1 point
Length
Position
Volume
Area
Color
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11.
Question 11
If you are in a situation
where you MUST use colorbars to represent detailed information about a continuous
variable, you should:
1 point
use colorbars that only have gradations from one color to a second color so that the audience isn’t distracted by excess color.
use a gray scale that goes from black to white.
use colors that are very bright so that they can easily be detected.
use a colorbar that color-blind people can perceive.
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12.
Question 12
Visualizations for persuasion should: (Choose all that apply)
1 point
show as much data as possible.
direct your audience’s eyes to the precise points of the data that support your argument.
show selected pieces of data.
show the visualizations in an order that helps your audience evaluate the options clearly.
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13.
Question 13
Which of the following
reflect(s) the principles of maximizing the data-ink ratio? Choose all that apply.
1 point
Making the scales and labels of the graph easy to read
Including a bar at the bottom of the slide to indicate how far along you are in your presentation
Reducing the amount of text on the slide
Making the borders of bars in a graph the same as the slide background
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14.
Question 14
It’s a good idea to apply
the rule of thirds to: (Choose all that apply)
1 point
Transition slides
Slides illustrating stories
Soft break slides
Slides meant to catch your audience’s attention
Slides containing data
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15.
Question 15
Practicing small parts of your presentation at a time is an effective technique for creating confidence in your ability to present the presentation as a whole.
1 point
True
False
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16.
Question 16
A hospital was having problems with the amount of time
employees with direct care responsibilities were absent from work. Due to the
high levels of absenteeism, patient satisfaction
was declining, 20% of patient-related
work was not getting done, and 47% of non-patient work was not getting
done. At the advice of a consulting
company, the hospital implemented a positive incentive system that would allow
all employees to convert up to 24 hours of unused sick time into additional pay or more vacation days in
order to reduce absenteeism. After 6
months of implementing the program, the hospital analysts calculated that
absentee rates declined an average of 11.5 hours per employee, and concluded that
the program was successful in this company.
Did the hospital analysts commit any logical fallacies when arriving at
their conclusion, and if so, which fallacy (or fallacies)?
1 point
Lack of controls
Overgeneralization
Inferring causation from correlation
None of the above
All of the above
Week- 5
Peer-graded Assignment: Recommendations for Dognition Business Process Change
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