Summary

This Power BI logistics dashboard helps users explore relationships, correlations, and multi-metric patterns within transportation data. It combines several interactive analytical views to show how available logistics measures and entities relate to one another.

The report was created by Kaye Iara Marie Rabang for the February–March 2025 FP20 Analytics ZoomCharts Challenge using the Transportation & Logistics Dataset.

Key Insights of the Power BI Logistics Relationships & Correlation Dashboard

The report approaches transportation analysis through connected-data and relationship-based views. Its main analytical capabilities include:

• Correlation analysis: compare two measures and identify possible relationships, clusters, or unusual data points
• Entity relationships: explore connections between the categories and entities available in the logistics dataset
• Multi-metric trends: examine how related transportation measures change and compare within a shared visual
• Focused exploration: select individual points, series, or connected nodes to narrow the analysis

Drill Down Scatter, Combo, and Network visuals provide correlation, trend, and relationship-based perspectives. Used together, they allow users to move from overall patterns to selected data points and connected entities.

How to Use This Power BI Logistics Relationships & Correlation Dashboard

Click a scatter point, chart series, or network node to filter the related logistics data. Expand connected elements or drill into selected categories to investigate relationships and performance patterns in greater detail.

Download the PBIX template to examine the data model, calculations, report structure, and visual configuration in Power BI Desktop. Connect it to your own transportation data and adjust the measures, categories, and relationships to match your analysis requirements.