Data Visualization Tools

Data Visualization Tools

8th Grade - University

8 Qs

quiz-placeholder

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Data Visualization Tools

Data Visualization Tools

Assessment

Quiz

Computers

8th Grade - University

Medium

Used 6+ times

FREE Resource

8 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Business Intelligence (BI) tools can take huge amounts of data and parse it into digestible data points. In contrast Data Visualization is the presentation portion of the equation.

True

False

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

The purpose of Data Visualization is to quickly transfer information from the machine to the human brain.

True

False

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Data Visualization is

an imagery dedicated exclusively to messaging or presenting information.

a visual depiction of information.

How Bill's Mom does data.

A and B

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Data Visualization Tools are capable of performing sophisticated queries with out the the need to understand SQL coding.

True

False

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which is not true of a Data Visualization Dashboard?

Visualizations can come with various display options or images that are customizable.

They typically contains two or more data visualizations meant to inform and sometimes even prompt a business action or decision.

It is an ERP system with a chart of accounts.

Sharing can often be customized according to permissions, per business line or per job role pertinence

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

BI apps let business analysts bypass the IT middlemen and unstop many of the IT bottlenecks.

True

False

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

A BI Dashboard with a Visualization tool requires extensive database expertise.

True

False

8.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Data Visualization tools enable

Only Data Scientists and IT professionals to utilize Big Data to gain new insights.

Only C-Suite Executives to utilize Big Data to gain new insights.

People outside of Data Scientists and IT professionals to utilize Big Data to gain new insights.

None of the above