1. Question 1

“A presentation is not a data dump.” What should you do?

• ❌ Not include facts and figures

• ✅ Include only that information as is needed to address the business problem

• ❌ Not use visuals

• ❌ Deliver the findings in a single slide

Explanation:
A good presentation includes only the relevant insights, not raw data or unnecessary details.

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2. Question 2

What is the discipline of communicating information using visual elements?

• ❌ Data regression

• ❌ Data profiling

• ✅ Data visualization

• ❌ Data type conversion

Explanation:
Data visualization communicates data clearly through charts, graphs, and visuals.

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3. Question 3

Matplotlib is a widely used Python data visualization library.

• ✅ True

• ❌ False

Explanation:
Matplotlib is one of the foundational Python libraries for plotting data.

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4. Question 4

What is the goal of Data Visualization?

• ❌ Establish trust

• ✅ Make information easy to comprehend, interpret, and retain

• ❌ Make collaboration easy

• ❌ Make the presentation look attractive

Explanation:
The primary purpose is to simplify complex information for better understanding and memory.

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5. Question 5

What can you do to help your audience trust you?

• ❌ Make your presentation look good

• ❌ Share detailed documentation of every aspect

• ✅ Share your data sources, hypotheses, and validations

• ❌ Hand them copies of the datasets

Explanation:
Being transparent about sources and methodology builds confidence and credibility.

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🧾 Summary Table

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