3DBar Graph by IFour

The custom visual 3D Bar Graph custom visual for Power BI provides an enhanced way to visualize categorical data using three-dimensional bars. By adding depth and perspective, it enables users to compare values across multiple categories and groups more effectively. This visual is ideal for performance comparison, trend analysis, and executive dashboards where visual impact and clarity are essential.

Users can customize the X-axis, Y-axis to gain better insights and improve readability.

Key features

• X-axis setting-:The X-axis represents the primary categories in the visual. Users can customize font size, font family, and font color to improve readability and align with report themes.


• Y-axis setting-: The Y-axis displays the numerical values. Users can personalize axis formatting, including Display Units, Decimal Places, font styling, and scale settings for accurate value representation.


• Legend setting-: The legend is essential for understanding the different data series in a chart,with this feature, users can modify the text appearance.


• Datalabel-: Enabling data labels provides a direct view of values on the chart and allows users to toggle data labels on and off, customize font styles.

Business use cases

• Sales Performance Comparison-: Compare sales across products, regions, or teams. The 3D Bar Graph makes it easy to identify top performers and underperformers at a glance.


• Financial Analysis-: Visualize revenue, expenses, or profit margins across departments or time periods. The 3D perspective enhances comparison across multiple financial metrics.


• Project & Resource Management-: Track project progress, resource allocation, or budget utilization across different projects or phases using visually distinct 3D bars.


• Operational & KPI Dashboards-: Executives and managers can monitor KPIs and operational metrics in a visually engaging format that improves data storytelling.


• Market & Regional Analysis-: Analyze performance across countries, states, or territories with clear category separation and depth-based grouping.

Contact Us at:

Email: info@ifourtechnolab.com

Phone: +1 410 892 1119