{"id":15994,"date":"2016-07-05T16:06:52","date_gmt":"2016-07-05T23:06:52","guid":{"rendered":"https:\/\/devwww.3cloudsolutions.com\/post\/visualizing-your-data-made-easy-with-power-bi-and-r-2\/"},"modified":"2024-04-17T14:04:52","modified_gmt":"2024-04-17T21:04:52","slug":"visualizing-your-data-made-easy-with-power-bi-and-r","status":"publish","type":"post","link":"https:\/\/3cloudsolutions.com\/resources\/visualizing-your-data-made-easy-with-power-bi-and-r\/","title":{"rendered":"Visualizing Your Data Made Easy with\u00a0Power BI and R"},"content":{"rendered":"

For those who aren\u2019t familiar with the business analytics workhorse that is Microsoft Power BI, the self-service analytics system includes a web publishing component that allows sharing via multiple mediums \u2013 including phone, web browsers, tablets, desktops and laptops. The flexible business intelligence<\/a> suite is known for its rich visuals. Thanks to R, the powerful, open-source programming language, creating and supplementing those visuals just got easier.<\/p>\n

R, which scripts advanced analytics and graphics, works with Power BI in two ways \u2013 it can be used as a data source and to create visualizations.<\/p>\n

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Typically, users might import a CSV file, connect to a SQL Server data source, or an analysis services data set to access the information needed to create charts. R can serve the same purpose. By treating an R script as a source, Power BI users can take any data frame (similar to a table) created in the script and make it available as a data set that can be used for multiple purposes, including modeling and creating graphics, performing analytics, and data predictions. Users can even create a data frame of predictions and ultimately tie them into their Power BI workflow. The simple click of a button captures the R script data sets and their IDs. Just import them into a blank Power BI canvas and execute the script. The user can then instantly create visuals based on that information, or integrate the information with other data sets.<\/p>\n

Creating visuals is just as easy. In Power BI\u2019s Visualizations panel, users can open the R editor to import code, drag and drop fields that they want to use within R script, and Power BI will visualize and render the data. If the user changes filter selections, Power BI will re-run the R code based on the context of the filter selected, automatically updating the visuals, switching effortlessly from line graphs to bar charts, and allowing the seamless integration of R and Power BI visuals, in an interactive, user-friendly experience.<\/p>\n

Watch this brief video tutorial below to see how easy it is to incorporate R into your Power BI experience.<\/p>\n

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