Assignment 2 - Visualization Critique
Critical Analysis
Data Issues:
Interpretation Challenges: The 3D effect distorts bar heights, making comparisons difficult.
Visual Overload: Too much data with minimal differentiation leads to clutter.
Idiom Issues:
Distorted Comparisons: 3D perspective skews data interpretation.
Unreadable Labels: Angled axis labels and grid lines hinder readability.
Suggested Improvements
Use 2D Visualization: A 2D bar chart or heatmap will improve clarity.
Simplify Colors: Limiting color variety will reduce visual complexity.
Enhance Labels: Clear, aligned labels will make the data easier to interpret.
Critical Analysis
Data Issues:
Overlapping Data Types: Combining issues by number and days open in a stacked bar with a line overlay complicates interpretation.
Inconsistent Scales: Mixing scales on the y-axis for issues and days open risks confusion.
Idiom Issues:
Visual Overload: Stacked bars with an overlay line chart reduce readability.
Color Confusion: Excessive colors make categories hard to distinguish, especially for color-deficient viewers.
Suggested Improvements
Separate Metrics: Splitting the metrics into separate charts would improve clarity.
Clear Grouping: Using a grouped bar chart would make comparisons between categories easier.
Simplify Colors: Limiting to a few distinct colors would enhance clarity.