Visualisation Terminology Flashcards

1
Q

Functional Harmony:

A
  • 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.
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2
Q

Ordered:

A
  • Definition: Ordered data is arranged in a specific sequence or pattern.
    • Example: Bars in a bar chart ordered by ascending or descending values.
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3
Q

Unordered:

A
  • Definition: Unordered data lacks a specific sequence or arrangement.
    • Example: Categories in a pie chart with no inherent order.
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4
Q

Constraints:

A
  • Definition: Constraints are limitations or restrictions that influence the design and implementation of a data visualization.
    • Example: Time constraints for completing a visualization project.
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5
Q

Project Brief:

A
  • 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.
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6
Q

Consumption:

A
  • 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.
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7
Q

Annotation:

A
  • 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.
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8
Q

Deliverables:

A
  • Definition: Deliverables are the final outputs or results of a data visualization project.
    • Example: Completed interactive dashboards and summary reports.
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9
Q

Visual Encoding:

A
  • 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.
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10
Q

Visual Accessibility:

A
  • 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
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11
Q

Saturation:

A
  • 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.
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12
Q

Hue:

A
  • Definition: Hue represents the pure color without variations in brightness or intensity.
    • Example: Differentiating data categories using distinct hues in a pie chart.
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13
Q

Complex vs. Complicated:

A
  • Definition: Complex indicates intricacy but understandability; complicated implies difficulty in understanding.
    • Example: A complex data relationship depicted in a scatter plot with clear patterns.
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14
Q

3D Form:

A
  • 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.
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15
Q

Raw Data:

A
  • Definition: Raw data is unprocessed and unanalyzed data directly obtained from sources.
    • Example: Raw sales data before any calculations or aggregations.
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16
Q

Elegant Design:

A
  • Definition: Elegant design refers to a simple, efficient, and aesthetically pleasing visualization layout.
    • Example: A clean and minimalist design for a financial report dashboard.
17
Q

Target Audience:

A
  • Definition: The target audience is the specific group intended to view or use the data visualization.
    • Example: Designing a sales report for executives, emphasizing key metrics.
18
Q

Subject Knowledge:

A
  • Definition: Subject knowledge involves understanding the domain or field of the data being visualized.
    • Example: Having industry-specific knowledge to accurately interpret data and choose relevant visualizations.