Data Visualization Test #1

Question 1

What types of data visualization are most common?

Accepted Answer

All of the above

Answer

Infographics

Answer

Charts

Answer

Tables

Question 2

What is the definition of data visualization?

Accepted Answer

It is the graphical representation of information and data

Answer

It is the character representation of information and data

Answer

It is the numerical representation of information and data

Answer

None of the above

Question 3

The use of data visualization tools makes it easier to observe and understand _______ in the data

Accepted Answer

All of the above

Answer

patterns

Answer

trends

Answer

outliers

Question 4

What are some of the advantages of data visualization?

Accepted Answer

All of the above

Answer

Exploring business insights

Answer

Better analysis

Answer

Identifying patterns

Question 5

Data visualization is also a broader element

Accepted Answer

data presentation architecture

Answer

deliver presentation architecture

Answer

data process architecture

Answer

None of the above

Question 6

Which of the complex techniques isn't utilized to visualize data?

Accepted Answer

Fever Maps

Answer

Heat Maps

Answer

Bubble Clouds

Answer

Bullet Graphs

Question 7

What are some specific examples of data visualization methods?

Accepted Answer

All of the above

Answer

Dot Distribution Map

Answer

Area Chart

Answer

Bubble Cloud

Question 8

In a nested format, which approach displays hierarchical data?

Accepted Answer

Treemaps

Answer

Population pyramids

Answer

Scatter plots

Answer

Area charts

Question 9

The significance of data visualization is evident in the following paragraphs.

Accepted Answer

All of the above

Answer

Assisting decision-makers in comprehending how business data is evaluated in order to make business decisions

Answer

Getting the target audience to focus on business insights in order to find issues that need to be addressed

Answer

revealing previously ignored significant information regarding data sources in order to assist decision makers in writing data analysis reports