02 Map Visualization Flashcards

1
Q

What is a key strength of Tree Maps?

A

Excellent for visualizing hierarchical data

Tree Maps show part-to-whole relationships effectively.

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2
Q

What is a consideration when using Tree Maps?

A

Can become difficult to interpret with too many levels or small values

Color choices are important for clear differentiation and emphasis.

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3
Q

Name an application of Tree Maps.

A

Analyzing sales data by category and product

Other applications include displaying market share and visualizing disk space usage.

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4
Q

What does a Funnel Chart illustrate?

A

The flow of a process and identifies bottlenecks

Funnel Charts are easy to understand, even for non-technical audiences.

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5
Q

What is a limitation of Funnel Charts?

A

Assumes a linear process

Can be misleading if stages are not clearly defined or measured.

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6
Q

Provide an example of an application for Funnel Charts.

A

Tracking sales leads through different stages

Other examples include visualizing website traffic flow and analyzing customer churn.

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7
Q

What is a major strength of Combo Charts?

A

Combines the benefits of two chart types for a richer data story

Allows for comparison of different data types or scales on the same chart.

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8
Q

What should be considered when using Combo Charts?

A

Requires careful selection of chart types to avoid confusion

Can be visually complex if not designed effectively.

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9
Q

Name an application of Combo Charts.

A

Comparing sales revenue with profit margins over time

Other applications include showing website traffic alongside conversion rates and tracking inventory levels.

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10
Q

What overall insight does the video provide about data visualization?

A

Demonstrates the power of data visualization for gaining insights

Each chart type has its own strengths and is suited for different purposes.

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11
Q

Why is choosing the right chart important?

A

Crucial for effective communication and analysis

Understanding visualization tools helps unlock valuable information hidden within data.

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