Data Visualization and Communication with Tableau Quiz Answers

Get All Weeks Data Visualization and Communication with Tableau Quiz Answers

Week 01: Data Visualization and Communication with Tableau Quiz Answers

Quiz 1: Week 1 Quiz

Q1. According to the data analytics company Gartner, the majority of companies reported the reason their big data projects failed is due to:

Q2. 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.

Q3. In this course, we used the S.M.A.R.T acronym to refer to goals that are:

Q4. Which of the following steps of the analytics project life cycle should you complete first?

Q5. 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.

Q6. 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.

Q7. True/False: Stakeholders are those individuals who are influenced by the outcome of your project or who might have a strong interest in it.

Q8. Elicitation sessions occur:

Q9. 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 than 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):

Q10. At the beginning of any data analysis project, you should meet with your key stakeholders to understand:

Q11. According to Doug Laney, VP of Information Innovation and Strategy at Gartner, why don’t more companies move higher on the analytics continuum? (Check all that apply)

Q12. True/False: When you are designing your business analysis plan, you should treat your business metric as the independent variable in your data analysis.

Q13. SPAPs should be altered after you begin a data analysis.

Q14. How many layers should there be in the “independent variables” section of your pyramid?

Q15. The best charts for assessing the categories and subcategories listed in the intermediate layers of your SPAP include (select all that apply):

Week 02: Data Visualization and Communication with Tableau Quiz Answers

Q1. 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?

Q2. 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.

Q3. 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?

Q4. The Personality Dimension that has the highest average number of completed tests in the Dognition_aggregated_by_DogID data set is clear:

Q5. In the Dognition_aggregated_by_DogID data set, what is consistent about the relationship between the breeding group and the 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?

Q6. In the Dognition_aggregated_by_DogID data set, what personality type has the strongest representation (greatest number of records) in the sporting breed group?

Q7. In the Dognition_aggregated_by_DogID data set, which of the following describes the median number of tests dogs of different breed types complete?

Q8. In the Dognition_aggregated_by_DogID data set, how does the average number of tests dogs complete compare for fixed vs. not fixed dogs across different breed types? Click all that apply

Q9. 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.

Q10. 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 a 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 tooltip?

Q11. In the Dognition_aggregated_by_DogID data set, which state within the United States has the most Dognition customers?

Q12. In the Dognition_aggregated_by_DogID data set, dogs in which of the following states did customers complete a median number of tests that were greater than 13? Check all that apply.

Q13. Which of the following is true?

Q14. In the Dognition_aggregated_by_DogID data set, when looking at only dogs who completed 19 or fewer tests, which of the following is true about the relationship between inter-test intervals (ITIs) and number of tests completed? Click all that apply.

Q2. In the dognition_data_no_aggregation data set, after which game is the drop-off of completed tests the greatest?

Q3. 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?

Q4. During which day of the week do customers play Dognition games the most?

Q5. During which month in the data set were the most tests completed?

Q6. 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?

Q7. In the dognition_data_no_aggregation data set, approximately what percentage of users who begin taking the Dognition Assessment complete 20 tests?

Q8. 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?

Q9. 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)?

Q10. 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’)

Q11. 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:

Q12. 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)

Created At

Week 04: Data Visualization and Communication with Tableau Quiz Answers

Q1. The hourglass model for structuring effective business presentations suggests you should:

Q2. Beginning your business presentation in the middle of the plot of a motivational story can sometimes be an effective way to lead into your business recommendation.

Q3. The storyboarding process includes:

Q4. 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:

Q5. As a data analyst, you can avoid the logical fallacy of overgeneralization by:

Q6. 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):

Q7. When two variables are correlated, one variable does not cause the other variable.

Q8. When tests can’t be run, which of the following can data analysts do to assess the degree of confidence one should have in the nature of a correlation between two variables? Choose all that apply.

Q9. Which of these charts would be the best way to display how Smartphone sales have changed over time?

Q10. 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.

Q11. If you are in a situation where you MUST use color bars to represent detailed information about a continuous variable, you should:

Q12. Visualizations for persuasion should: (Choose all that apply)

Q13. Which of the following reflects (s) the principles of maximizing the data-ink ratio? Choose all that apply.

Q14. It’s a good idea to apply the rule of thirds to: (Choose all that apply)

Q15. Effective presentation techniques include:

Q16. 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 nonpatient 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)?

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