Lecture Notes on Visualization Methods

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Last updated 11:17 PM on 4/24/25
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12 Terms

1
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What is Data Visualization?

Simple representation of raw data using visual elements to get an overview of the data and identify trends and patterns

2
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What is Information Visualization?

Dealing with large-scale, complicated datasets (numerical or non-numerical) to improve viewer's comprehension, reinforce cognition, and help derive insights.

3
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What is Concept Visualization?

Visual representation of ideas, concepts and their relationships to show logical connections between different elements

4
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What is Metaphor Visualization?

Using pictorial analogies and simple templates to convey complex insights, making abstract concepts concrete and understandable.

5
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What is a Line Chart best used for?

Visualizing trends in data over time, where data points are ordered by x-axis values and connected by straight line segments.

6
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What is an Area Chart and when should it be used?

Like a line chart but with the area below the line colored to indicate volume. Best for representing cumulative totals over time.

7
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What is a Bar Chart used for?

Comparing different categories using vertical or horizontal bars with heights/lengths proportional to the value of each category.

8
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When should Pie Charts be used, and what's their limitation

Used to show part-to-whole relationships, but should be limited to few categories as they become ineffective with too many segments.

9
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What is a Flow Chart?

A diagram representing a workflow or process, providing a step-by-step approach to solve a task or visualize a procedure.

10
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What is a Venn Diagram and what does it show?

A collection of overlapping circles (sets) that shows logical relationships between different sets, clearly visualizing overlaps and differences.

11
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What is a Gantt Chart used for?

Project planning and management, showing tasks, their durations, and dependencies on a timeline

12
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What are two critical factors to consider when choosing a visualization method?

The type and structure of your data, and 2) The specific insights you want your audience to gain.

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