Visualizing business data with generalized treemaps.

Area of Science:

• Data Visualization
• Information Design
• Computer Graphics

Background:

• Traditional business graphics offer overviews but lack detail for large datasets.
• Standard treemaps present detailed information but can be difficult to interpret.

Purpose of the Study:

• To adapt standard treemap algorithms to generate visualizations resembling familiar business graphics.
• To improve the understandability of detailed data presentations using enhanced treemaps.

Main Methods:

• Implementing level-specific layout algorithms.
• Developing variations of the squarified treemap algorithm.
• Utilizing variable borders and non-rectangular shapes in treemap construction.

Main Results:

• Adapted treemaps successfully mimic the appearance of histograms and pie charts.
• The combined techniques result in a variety of visually intuitive business graphic styles.
• Enhanced treemaps provide a more accessible way to visualize detailed business data.

Conclusions:

• Modified treemap algorithms can bridge the gap between detailed data representation and user comprehension.
• The presented adaptations offer a flexible approach to creating effective business data visualizations.
• Enhanced treemaps offer a powerful alternative for presenting complex information in an understandable format.