3D Chart Tools

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Since 1996 InetSoft has been delivering easy, agile, and robust business intelligence software that makes it possible for organizations and solution providers of all sizes to deploy or embed full-featured business intelligence solutions. Application highlights include visually-compelling and interactive dashboards that ensure greater end-user adoption plus pixel-perfect report generation, scheduling, and bursting.

InetSoft's patent pending Data Block™ technology enables productive reuse of queries and a unique capability for end-user defined data mashup. This capability combined with efficient information access enabled by InetSoft's visual analysis technologies allows maximum self-service that benefits the average business user, the IT administrator, and the developer. InetSoft solutions have been deployed at over 5,000 organizations worldwide, including 25% of Fortune 500 companies, spanning all types of industries.

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Are 3D Charts Passee?

The relevance and utility of 3D charts in data visualization have been topics of debate among data scientists, analysts, and visualization experts. While 3D charts can offer a visually engaging way to present data, there are several reasons why they might be considered passé or less favored in contemporary data visualization practices. However, there are also contexts where 3D charts can still be valuable. Let's explore both perspectives to understand the nuances.

The Case Against 3D Charts

1. Readability Issues:
   • Distortion: 3D charts can distort data, making it difficult for viewers to accurately interpret the values. The added depth can obscure parts of the chart and create visual confusion.
   • Perspective Problems: Depending on the angle, certain data points may appear larger or smaller than they actually are, leading to misinterpretation.
   • Complexity: 3D charts often introduce unnecessary complexity. For example, a 3D bar chart might be harder to read compared to a 2D bar chart because viewers have to mentally adjust for the depth.
2. Lack of Clarity:
   • Overlapping Data: In 3D plots, data points can overlap, making it difficult to distinguish between them. This is particularly problematic in scatter plots or line charts.
   • Color and Shading Issues: The use of colors and shading in 3D charts to represent depth can sometimes make it harder to discern the actual data values, especially for viewers with color vision deficiencies.
3. Cognitive Load:
   • Interpretation Effort: 3D charts require more cognitive effort to understand. Viewers need to mentally translate a 3D representation back into 2D to interpret the data accurately.
   • Learning Curve: People are generally more accustomed to interpreting 2D charts. Introducing a third dimension adds a layer of complexity that can detract from quick comprehension.
4. Practical Limitations:
   • Print Media: 3D charts do not translate well to print media, where the lack of interactivity makes them harder to understand.
   • Limited Interactivity: While modern visualization tools can create interactive 3D charts, not all platforms support these features, limiting their utility in static presentations.

The Case for 3D Charts

1. Engagement and Aesthetics:

   • Visual Appeal: 3D charts can be more visually appealing and engaging, capturing the viewer's attention more effectively than flat 2D charts.
   • Differentiation: In certain contexts, like presentations or marketing materials, 3D charts can differentiate a data presentation from more conventional 2D charts.

2. Complex Data Representation:

   • Multiple Variables: 3D charts can effectively represent data with three variables, providing a comprehensive view of the relationships between them. For example, a 3D scatter plot can show the relationship between three different metrics simultaneously.
   • Surface Plots: In fields like engineering or scientific research, 3D surface plots can be crucial for visualizing complex surfaces and their variations in three dimensions.

3. Specific Use Cases:

   • Geospatial Data: 3D maps and geospatial charts can be invaluable for representing topographical data, where elevation is a critical dimension.
   • Simulation Results: In fields like meteorology, fluid dynamics, or physics, 3D visualizations can represent simulation results that naturally exist in three dimensions.

4. Technological Advancements:

   • Virtual Reality (VR) and Augmented Reality (AR): The rise of VR and AR technologies is reviving interest in 3D visualizations, where immersive environments can make complex data more intuitive.
   • Interactive Dashboards: Modern data visualization tools (e.g., Tableau, Power BI) offer interactive 3D chart capabilities that mitigate some traditional drawbacks, allowing users to manipulate views to better understand the data.

Best Practices for Using 3D Charts

If 3D charts are to be used, adhering to best practices can help mitigate some of their drawbacks:

1. Use Sparingly: Reserve 3D charts for situations where they genuinely add value and clarity to the data presentation.
2. Provide Interactivity: If possible, use interactive 3D charts that allow viewers to rotate, zoom, and explore different perspectives.
3. Ensure Clarity: Use clear labels, grid lines, and annotations to help viewers interpret the data accurately.
4. Combine with 2D Views: Offer complementary 2D views to provide alternative perspectives and ensure that the data is accessible and understandable to all viewers.
5. Focus on Key Insights: Highlight the key insights directly within the chart to guide the viewer's interpretation and reduce cognitive load.

“Flexible product with great training and support. The product has been very useful for quickly creating dashboards and data views. Support and training has always been available to us and quick to respond. - George R, Information Technology Specialist at Sonepar USA

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