Visualisation Terminology Flashcards
1
Q
Functional Harmony:
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Definition: Functional harmony refers to the effective integration and coordination of visual elements to achieve a common purpose.
- Example: Consistent color schemes and font styles contributing to a visually harmonious dashboard.
2
Q
Ordered:
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Definition: Ordered data is arranged in a specific sequence or pattern.
- Example: Bars in a bar chart ordered by ascending or descending values.
3
Q
Unordered:
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Definition: Unordered data lacks a specific sequence or arrangement.
- Example: Categories in a pie chart with no inherent order.
4
Q
Constraints:
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Definition: Constraints are limitations or restrictions that influence the design and implementation of a data visualization.
- Example: Time constraints for completing a visualization project.
5
Q
Project Brief:
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Definition: A project brief is a detailed document outlining the goals, requirements, and scope of a data visualization project.
- Example: A comprehensive project brief specifying target audience and key metrics.
6
Q
Consumption:
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Definition: Consumption refers to the act of interpreting and deriving insights from a data visualization.
- Example: Analysts consuming a sales report to make informed decisions.
7
Q
Annotation:
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Definition: Annotation involves adding additional notes or explanations to a visualization to provide context.
- Example: Adding text annotations to highlight significant data points in a line chart.
8
Q
Deliverables:
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Definition: Deliverables are the final outputs or results of a data visualization project.
- Example: Completed interactive dashboards and summary reports.
9
Q
Visual Encoding:
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Definition: Visual encoding is the representation of data using visual elements like color, size, or shape.
- Example: Using different colors to represent different product categories in a bar chart.
10
Q
Visual Accessibility:
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Definition: Visual accessibility ensures that visualizations can be understood by a diverse audience, including those with visual impairments.
- Example: Providing alternative text for images in a visualization for screen reader users
11
Q
Saturation:
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Definition: Saturation refers to the intensity or vividness of colors in a visualization.
- Example: Using high saturation for important data points to make them stand out.
12
Q
Hue:
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Definition: Hue represents the pure color without variations in brightness or intensity.
- Example: Differentiating data categories using distinct hues in a pie chart.
13
Q
Complex vs. Complicated:
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Definition: Complex indicates intricacy but understandability; complicated implies difficulty in understanding.
- Example: A complex data relationship depicted in a scatter plot with clear patterns.
14
Q
3D Form:
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Definition: 3D form refers to the three-dimensional representation of data in a chart.
- Example: Using a 3D bar chart to show volume and height simultaneously.
15
Q
Raw Data:
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Definition: Raw data is unprocessed and unanalyzed data directly obtained from sources.
- Example: Raw sales data before any calculations or aggregations.