LIS 4317 Module #9 Assignment


Multivariate visualization is an effective way to explore relationships between multiple variables simultaneously. In this graph, we inputted:

  • X-axis: Horsepower (hp)
  • Y-axis: Miles per gallon (mpg)
  • Color: Number of cylinders (cyl)
  • Size: Weight (wt)
The patterns identified are:
  • Cars with higher horsepower tend to have lower fuel efficiency.
  • Heavier cars (more prominent points) usually have more cylinders.
  • The distinction between different cylinder groups can be observed through color.

5 Design Principles

  1. Alignment

    • The axes and labels are well-aligned, ensuring readability.
    • The legend is positioned appropriately to avoid clutter.

  2. Repetition

    • The same color scheme is used consistently for cylinder categories.
    • Labels and formatting maintain consistency across variables.

  3. Contrast

    • The different colors for cylinder groups provide clear differentiation.
    • The white background ensures the data stands out.

  4. Proximity

    • Related elements (title, labels, legend) are positioned close to their relevant data points.
    • Data points are mostly spaced effectively, preventing overlap.

  5. Balance

    • The plot maintains a visually balanced look by avoiding overcrowding.
    • The size scale for weight ensures that no element dominates the visualization.

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