,TESTBANK FOR Data Visualization Exploring and
Explaining with Data 2nd Edition by Jeffrey D.
Camm
Notes
1- The file is chapter after chapter.
2- We have shown you few pages sample.
3- The file contains all Appendix and Excel sheet
if it exists.
4- We have all what you need, we make update
at every time. There are many new editions
waiting you.
5- If you think you purchased the wrong file You
can contact us at every time, we can replace it
with true one.
Our email:
,Name: Class: Date:
Chapter 1.2 Appendix Introduction to Data Visualization with Tableau
1. What is Tableau Desktop?
a. A spreadsheet software
b. A word processing software that integrates data
c. A database management software
d. A data visualization software
ANSWER: d
2. What is the difference between a Live Connection and an Extract Connection in Tableau Desktop?
a. A Live Connection updates visualizations as the source data changes, while an Extract
Connection does not.
b. An Extract Connection updates visualizations as the source data changes, while a Live
Connection does not.
c. There is no difference between a Live Connection and an Extract Connection.
d. A Live Connection and an Extract Connection are not related to updating visualizations.
ANSWER: a
3. In Tableau Desktop, what are the specific areas within a worksheet where fields are placed to build
visualizations?
a. Tables and fields
b. Rows and columns
c. Cards and shelves
d. Canvas and marks
ANSWER: c
4. What does a blue pill represent in Tableau Desktop?
a. Continuous data
b. Discrete data
c. Text data
d. Number data
ANSWER: b
5. How can you update visualizations in Tableau Desktop when using a Live Connection?
a. Click "File" and select "Update Visualizations"
b. Click "Data" and select "Refresh Data Source"
c. Click "Worksheet" and select "Update Data"
d. Click "Visualizations" and select "Refresh"
ANSWER: b
6. What is the difference between a Tableau Desktop Workbook (.twb) and a Tableau Desktop Packaged
Workbook (.twbx)?
a. A .twb file contains a link to the data source, while a .twbx file contains the data source.
b. A .twbx file contains a link to the data source, while a .twb file contains the data source.
c. There is no difference between a .twb file and a .twbx file.
d. A .twb file and a .twbx file are not related to data sources.
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,Name: Class: Date:
Chapter 1.2 Appendix Introduction to Data Visualization with Tableau
ANSWER: a
7. What are the colored pills in the Data pane of a Tableau Desktop Worksheet called?
a. Marks
b. Shelves
c. Fields
d. Cards
ANSWER: c
8. In Tableau Desktop, what is the purpose of the Discover section on the start page?
a. To connect to data sources
b. To open sample data sets
c. To provide information on using Tableau
d. To create and discover insights through new visualizations
ANSWER: c
9. In Tableau Desktop, what is the purpose of the Canvas area in the Worksheet view?
a. To display the data tables
b. To create calculated fields
c. To display the visualization being created
d. To change the data source
ANSWER: c
10. In Tableau Desktop, which data type is represented by the globe icon?
a. Text (string)
b. Date
c. Boolean
d. Spatial (geographic)
ANSWER: d
11. In Tableau Desktop, what does a green pill represent?
a. Discrete data
b. Continuous data
c. Text data
d. Boolean data
ANSWER: b
12. In Tableau Desktop, what happens when you save a Workbook (.twb) and the linked data source file
is moved or deleted?
a. The visualizations in the Workbook will still function normally.
b. The visualizations in the Workbook will display an error message.
c. The visualizations in the Workbook will appear blank.
d. The Workbook will automatically update the file path to the new location of the data source.
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,Name: Class: Date:
Chapter 1.2 Appendix Introduction to Data Visualization with Tableau
ANSWER: c
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,Name: Class: Date:
Chapter 1.1 Appendix Introduction to Data Visualization with Power BI
1. What is Power BI Desktop?
a. A spreadsheet software
b. A word processing software
c. A business intelligence software
d. A database management software
ANSWER: c
2. What is the file extension for saving a file in Power BI Desktop?
a. .pbi
b. .pbix
c. .ppt
d. .xlsx
ANSWER: b
3. How can you change the data type of a variable in Power BI Desktop?
a. Select the variable in the Data pane, go to the Formatting group, and change the data type.
b. Select the variable in the Data pane, go to the Structure group, and change the data type.
c. Double-click the variable in the Data pane and change the data type.
d. Right-click the variable in the Data pane and select "Change Data Type."
ANSWER: b
4. What is the purpose of the Σ symbol before a variable name in the Data pane in Power BI Desktop?
a. It indicates that the variable is numeric.
b. It indicates that the variable is text.
c. It indicates that Power BI Desktop has summed the variable across categories or time periods.
d. It indicates that the variable is a calculated field.
ANSWER: c
5. In Power BI Desktop, what is the default view when you open the application?
a. Model view
b. Data view
c. Report view
d. Relationships view
ANSWER: c
6. In Power BI Desktop, what is the purpose of the Navigator dialog box when importing data from an
Excel file?
a. To select the worksheet to import
b. To preview the data before loading
c. To specify the file path
d. To choose the data type for each column
ANSWER: b
7. In Power BI Desktop, what is the purpose of the Calculations group in the Table tools tab?
Copyright Cengage Learning. Powered by Cognero. Page 1
,Name: Class: Date:
Chapter 1.1 Appendix Introduction to Data Visualization with Power BI
a. To create new visualizations
b. To modify the data types
c. To add new columns or tables based on existing data
d. To filter the data
ANSWER: c
8. In Power BI Desktop, what does the comma button in the Formatting group of the Column tools tab
do?
a. Adds a comma separator to the values
b. Removes any comma separators from the values
c. Formats the values as currency
d. Formats the values as percentages
ANSWER: a
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,Name: Class: Date:
Chapter 1 Introduction
Multiple Choice
1. The graphical representation of data and information using displays such as charts, graphs, and maps is
known as data _____.
a. visualization
b. mining
c. analytics
d. science
ANSWER: a
2. The set of analytical tools that describe what has happened and includes techniques such as data
queries, reports, descriptive or summary statistics, and data visualization is _____.
a. descriptive analytics
b. predictive analytics
c. prescriptive analytics
d. diagnostic analytics
ANSWER: a
3. What field of analytics consists of techniques that use mathematical models constructed from past data
to predict future events or better understand the relationships between variables?
a. Descriptive analytics
b. Predictive analytics
c. Prescriptive analytics
d. Restorative analytics
ANSWER: b
4. Mathematical or logical models that suggest a decision or course of action and include mathematical
optimization models, decision analysis, and heuristic or rule-based systems are used in the field of _____.
a. descriptive analytics
b. predictive analytics
c. prescriptive analytics
d. restorative analytics
ANSWER: c
5. The scientific process of transforming data into insights for making better decisions is _____.
a. analytics
b. visualization
c. surveying
d. sampling
ANSWER: a
6. Descriptive analytics is the set of analytical tools that describe __________.
a. what has happened
b. what may happen
c. a course of action to take
Copyright Cengage Learning. Powered by Cognero. Page 1
,Name: Class: Date:
Chapter 1 Introduction
d. future trends
ANSWER: a
7. Predictive analytics consists of techniques that use mathematical models constructed from past data to
predict future events or __________.
a. describe what has happened in the past
b. better understand the relationships between variables
c. determine a course of action for the future
d. suggest a decision
ANSWER: b
8. Prescriptive analytics are mathematical or logical models that __________.
a. describe the past
b. predict the future
c. suggest a decision or course of action
d. describe a relationship between two variables
ANSWER: c
9. Data for which numerical values are used to indicate magnitude, such as how many or how much, are
referred to as:
a. quantitative
b. qualitative
c. categorical
d. ordinal
ANSWER: a
10. What type of data is that for which categories of like items are identified by labels or names?
a. Quantitative
b. Numerical
c. Categorical
d. Arithmetic
ANSWER: c
11. Which of the following arithmetic operations can be performed on categorical data?
a. Addition
b. Subtraction
c. Multiplication
d. None of these choices
ANSWER: d
12. If we collect data on the number of wins each team in the NFL had during the 2023–2024 season, we
have __________ data.
a. cross-sectional
b. time series
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, Name: Class: Date:
Chapter 1 Introduction
c. nonhistorical
d. survey
ANSWER: a
13. If we collect data on the number of wins the Dallas Cowboys earned each of the past 10 years, we
have __________ data.
a. cross-sectional
b. time series
c. nonhistorical
d. survey
ANSWER: b
14. Which of the following is an example of a quantitative variable?
a. Manufacturer of a cell phone
b. A person’s gender
c. Mileage of a car
d. Whether a person is a college graduate
ANSWER: c
15. Which of the following is an example of a categorical variable?
a. Air temperature
b. Whether a person has a traffic violation
c. Bank account balance
d. Value of company stock
ANSWER: b
16. A _____ variable takes on values that are numbers on the real number line.
a. qualitative
b. quantitative
c. categorical
d. nominative
ANSWER: b
17. The class ranking of a college student is an example of a(n) ____ variable.
a. categorical
b. quantitative
c. ratio
d. interval
ANSWER: a
18. The change in the daily price of a stock is what type of variable?
a. Categorical
b. Quantitative
Copyright Cengage Learning. Powered by Cognero. Page 3
Explaining with Data 2nd Edition by Jeffrey D.
Camm
Notes
1- The file is chapter after chapter.
2- We have shown you few pages sample.
3- The file contains all Appendix and Excel sheet
if it exists.
4- We have all what you need, we make update
at every time. There are many new editions
waiting you.
5- If you think you purchased the wrong file You
can contact us at every time, we can replace it
with true one.
Our email:
,Name: Class: Date:
Chapter 1.2 Appendix Introduction to Data Visualization with Tableau
1. What is Tableau Desktop?
a. A spreadsheet software
b. A word processing software that integrates data
c. A database management software
d. A data visualization software
ANSWER: d
2. What is the difference between a Live Connection and an Extract Connection in Tableau Desktop?
a. A Live Connection updates visualizations as the source data changes, while an Extract
Connection does not.
b. An Extract Connection updates visualizations as the source data changes, while a Live
Connection does not.
c. There is no difference between a Live Connection and an Extract Connection.
d. A Live Connection and an Extract Connection are not related to updating visualizations.
ANSWER: a
3. In Tableau Desktop, what are the specific areas within a worksheet where fields are placed to build
visualizations?
a. Tables and fields
b. Rows and columns
c. Cards and shelves
d. Canvas and marks
ANSWER: c
4. What does a blue pill represent in Tableau Desktop?
a. Continuous data
b. Discrete data
c. Text data
d. Number data
ANSWER: b
5. How can you update visualizations in Tableau Desktop when using a Live Connection?
a. Click "File" and select "Update Visualizations"
b. Click "Data" and select "Refresh Data Source"
c. Click "Worksheet" and select "Update Data"
d. Click "Visualizations" and select "Refresh"
ANSWER: b
6. What is the difference between a Tableau Desktop Workbook (.twb) and a Tableau Desktop Packaged
Workbook (.twbx)?
a. A .twb file contains a link to the data source, while a .twbx file contains the data source.
b. A .twbx file contains a link to the data source, while a .twb file contains the data source.
c. There is no difference between a .twb file and a .twbx file.
d. A .twb file and a .twbx file are not related to data sources.
Copyright Cengage Learning. Powered by Cognero. Page 1
,Name: Class: Date:
Chapter 1.2 Appendix Introduction to Data Visualization with Tableau
ANSWER: a
7. What are the colored pills in the Data pane of a Tableau Desktop Worksheet called?
a. Marks
b. Shelves
c. Fields
d. Cards
ANSWER: c
8. In Tableau Desktop, what is the purpose of the Discover section on the start page?
a. To connect to data sources
b. To open sample data sets
c. To provide information on using Tableau
d. To create and discover insights through new visualizations
ANSWER: c
9. In Tableau Desktop, what is the purpose of the Canvas area in the Worksheet view?
a. To display the data tables
b. To create calculated fields
c. To display the visualization being created
d. To change the data source
ANSWER: c
10. In Tableau Desktop, which data type is represented by the globe icon?
a. Text (string)
b. Date
c. Boolean
d. Spatial (geographic)
ANSWER: d
11. In Tableau Desktop, what does a green pill represent?
a. Discrete data
b. Continuous data
c. Text data
d. Boolean data
ANSWER: b
12. In Tableau Desktop, what happens when you save a Workbook (.twb) and the linked data source file
is moved or deleted?
a. The visualizations in the Workbook will still function normally.
b. The visualizations in the Workbook will display an error message.
c. The visualizations in the Workbook will appear blank.
d. The Workbook will automatically update the file path to the new location of the data source.
Copyright Cengage Learning. Powered by Cognero. Page 2
,Name: Class: Date:
Chapter 1.2 Appendix Introduction to Data Visualization with Tableau
ANSWER: c
Copyright Cengage Learning. Powered by Cognero. Page 3
,Name: Class: Date:
Chapter 1.1 Appendix Introduction to Data Visualization with Power BI
1. What is Power BI Desktop?
a. A spreadsheet software
b. A word processing software
c. A business intelligence software
d. A database management software
ANSWER: c
2. What is the file extension for saving a file in Power BI Desktop?
a. .pbi
b. .pbix
c. .ppt
d. .xlsx
ANSWER: b
3. How can you change the data type of a variable in Power BI Desktop?
a. Select the variable in the Data pane, go to the Formatting group, and change the data type.
b. Select the variable in the Data pane, go to the Structure group, and change the data type.
c. Double-click the variable in the Data pane and change the data type.
d. Right-click the variable in the Data pane and select "Change Data Type."
ANSWER: b
4. What is the purpose of the Σ symbol before a variable name in the Data pane in Power BI Desktop?
a. It indicates that the variable is numeric.
b. It indicates that the variable is text.
c. It indicates that Power BI Desktop has summed the variable across categories or time periods.
d. It indicates that the variable is a calculated field.
ANSWER: c
5. In Power BI Desktop, what is the default view when you open the application?
a. Model view
b. Data view
c. Report view
d. Relationships view
ANSWER: c
6. In Power BI Desktop, what is the purpose of the Navigator dialog box when importing data from an
Excel file?
a. To select the worksheet to import
b. To preview the data before loading
c. To specify the file path
d. To choose the data type for each column
ANSWER: b
7. In Power BI Desktop, what is the purpose of the Calculations group in the Table tools tab?
Copyright Cengage Learning. Powered by Cognero. Page 1
,Name: Class: Date:
Chapter 1.1 Appendix Introduction to Data Visualization with Power BI
a. To create new visualizations
b. To modify the data types
c. To add new columns or tables based on existing data
d. To filter the data
ANSWER: c
8. In Power BI Desktop, what does the comma button in the Formatting group of the Column tools tab
do?
a. Adds a comma separator to the values
b. Removes any comma separators from the values
c. Formats the values as currency
d. Formats the values as percentages
ANSWER: a
Copyright Cengage Learning. Powered by Cognero. Page 2
,Name: Class: Date:
Chapter 1 Introduction
Multiple Choice
1. The graphical representation of data and information using displays such as charts, graphs, and maps is
known as data _____.
a. visualization
b. mining
c. analytics
d. science
ANSWER: a
2. The set of analytical tools that describe what has happened and includes techniques such as data
queries, reports, descriptive or summary statistics, and data visualization is _____.
a. descriptive analytics
b. predictive analytics
c. prescriptive analytics
d. diagnostic analytics
ANSWER: a
3. What field of analytics consists of techniques that use mathematical models constructed from past data
to predict future events or better understand the relationships between variables?
a. Descriptive analytics
b. Predictive analytics
c. Prescriptive analytics
d. Restorative analytics
ANSWER: b
4. Mathematical or logical models that suggest a decision or course of action and include mathematical
optimization models, decision analysis, and heuristic or rule-based systems are used in the field of _____.
a. descriptive analytics
b. predictive analytics
c. prescriptive analytics
d. restorative analytics
ANSWER: c
5. The scientific process of transforming data into insights for making better decisions is _____.
a. analytics
b. visualization
c. surveying
d. sampling
ANSWER: a
6. Descriptive analytics is the set of analytical tools that describe __________.
a. what has happened
b. what may happen
c. a course of action to take
Copyright Cengage Learning. Powered by Cognero. Page 1
,Name: Class: Date:
Chapter 1 Introduction
d. future trends
ANSWER: a
7. Predictive analytics consists of techniques that use mathematical models constructed from past data to
predict future events or __________.
a. describe what has happened in the past
b. better understand the relationships between variables
c. determine a course of action for the future
d. suggest a decision
ANSWER: b
8. Prescriptive analytics are mathematical or logical models that __________.
a. describe the past
b. predict the future
c. suggest a decision or course of action
d. describe a relationship between two variables
ANSWER: c
9. Data for which numerical values are used to indicate magnitude, such as how many or how much, are
referred to as:
a. quantitative
b. qualitative
c. categorical
d. ordinal
ANSWER: a
10. What type of data is that for which categories of like items are identified by labels or names?
a. Quantitative
b. Numerical
c. Categorical
d. Arithmetic
ANSWER: c
11. Which of the following arithmetic operations can be performed on categorical data?
a. Addition
b. Subtraction
c. Multiplication
d. None of these choices
ANSWER: d
12. If we collect data on the number of wins each team in the NFL had during the 2023–2024 season, we
have __________ data.
a. cross-sectional
b. time series
Copyright Cengage Learning. Powered by Cognero. Page 2
, Name: Class: Date:
Chapter 1 Introduction
c. nonhistorical
d. survey
ANSWER: a
13. If we collect data on the number of wins the Dallas Cowboys earned each of the past 10 years, we
have __________ data.
a. cross-sectional
b. time series
c. nonhistorical
d. survey
ANSWER: b
14. Which of the following is an example of a quantitative variable?
a. Manufacturer of a cell phone
b. A person’s gender
c. Mileage of a car
d. Whether a person is a college graduate
ANSWER: c
15. Which of the following is an example of a categorical variable?
a. Air temperature
b. Whether a person has a traffic violation
c. Bank account balance
d. Value of company stock
ANSWER: b
16. A _____ variable takes on values that are numbers on the real number line.
a. qualitative
b. quantitative
c. categorical
d. nominative
ANSWER: b
17. The class ranking of a college student is an example of a(n) ____ variable.
a. categorical
b. quantitative
c. ratio
d. interval
ANSWER: a
18. The change in the daily price of a stock is what type of variable?
a. Categorical
b. Quantitative
Copyright Cengage Learning. Powered by Cognero. Page 3
