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R is a programming language and environment designed for statistical computing and graphics, making it particularly useful for data analysis and visualization. It allows data professionals to explore datasets, perform statistical calculations, and create custom visualizations. When integrated with Microsoft Power BI, R adds statistical and graphical capabilities directly to business intelligence workflows.

Within Power BI Desktop, users can run R scripts to import data into a Power BI data model and use R to create data visualizations directly in reports. This integration allows organizations to combine R-based statistical computing and graphics with Power BI reporting, providing greater flexibility for analytical and visualization scenarios.

R

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KEY FEATURES
  • Statistical Analysis
    R provides a powerful environment for statistical computing and can be used with Power BI for advanced data analysis.

    • Statistical computing
    • Data analysis
    • Analytical scripting
  • Custom Data Visualizations
    R can be used directly in Power BI Desktop to create custom data visualizations based on selected report data.

    • Custom charts
    • R-based graphics
    • Report visuals
  • R Script Integration
    Power BI Desktop can execute R scripts and import resulting data frames into a Power BI data model.

    • Script execution
    • Data frame import
    • Power BI integration
  • Reporting Integration
    Data imported through R scripts can become part of a Power BI data model and be used to create reports.

    • Data modeling
    • Report creation
    • Report sharing
COMMON USE CASES
  • Statistical Data
    Analysis
    Use R with Power BI Desktop to perform statistical computing and analyze business datasets within reporting workflows.
  • Custom Data Visualizations
    Create R-powered visuals in Power BI Desktop to present data through custom statistical graphics and plots.
  • Data Import &
    Modeling
    Run R scripts to import resulting data frames into a Power BI Desktop data model for further reporting.
  • Data Preparation
    Use R scripts to prepare and process data before incorporating the resulting data frames into a Power BI model.
  • Advanced Reporting
    Combine R-generated data and visuals with Power BI reports to support more specialized analytical scenarios.
  • Report Sharing
    Build reports using data imported through R scripts and share the resulting reports through the Power BI service.
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