Please scientific articles on methodologies to create dashboards in R shiny and PowerBI
To create dashboards in R Shiny and Power BI, you can refer to several methodologies and resources. For R Shiny, the focus is on flexibility and customization, allowing for highly tailored and interactive dashboards. It is ideal for users with R programming skills and can handle advanced statistical analysis and custom analytics solutions [oai_citation:1,Choosing the Right Data Visualization Tool: R Shiny, PowerBI or Spotfire | R-bloggers](https://www.r-bloggers.com/2024/03/choosing-the-right-data-visualization-tool-r-shiny-powerbi-or-spotfire/) [oai_citation:2,Shiny, Tableau, and PowerBI: Better Business Intelligence | R-bloggers](https://www.r-bloggers.com/2021/07/shiny-tableau-and-powerbi-better-business-intelligence/).
For Power BI, the methodology involves using the Kimball methodology for data warehousing, implementing star schema models, and leveraging the ETL (Extract, Transform, Load) process. Power BI offers ease of use with a user-friendly interface for creating custom reports and dashboards and integrates well with Microsoft tools, making it suitable for business users without extensive technical backgrounds [oai_citation:3,Information | Free Full-Text | Developing Integrated Performance Dashboards Visualisations Using Power BI as a Platform](https://www.mdpi.com/2078-2489/14/11/614) [oai_citation:4,Choosing the Right Data Visualization Tool: R Shiny, PowerBI or Spotfire | R-bloggers](https://www.r-bloggers.com/2024/03/choosing-the-right-data-visualization-tool-r-shiny-powerbi-or-spotfire/).
For detailed methodologies and step-by-step guidance on building dashboards in R Shiny and Power BI, refer to articles and tutorials on platforms like MDPI and R-bloggers.
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